JP6027375B2 - Method for determining the degree of contamination of the surface to be cleaned and cleaning method - Google Patents

Description

  In order to clean a surface to be cleaned such as a floor surface or a wall surface, the present invention irradiates light on the surface to be cleaned, confirms dust particles on the surface to be cleaned, and cleans the surface to be cleaned The present invention relates to a surface dust visualization method and a cleaning method. Here, the dust particles are a general term for house dust, hair, fiber scraps, and other various dust, dust, and other particles present on the surface to be cleaned that has been suspended and dropped in the room.

  Conventionally, a cleaning wiping body (also called a cleaning mop) and a vacuum cleaner have been widely used as household and workplace cleaning tools. There are two general timings when the cleaning worker performs cleaning, regardless of the degree of contamination of the surface to be cleaned, and when cleaning is performed after confirming that the surface to be cleaned is dirty. It is. In the latter case, it is customary for the cleaning operator to determine the degree of contamination of the surface to be cleaned with the naked eye. However, in recent years, with the development of electronic technology, there has been proposed a dust visualization technology for visualizing and confirming dust particles by irradiating the surface to be cleaned with light and scattering light from the dust particles on the surface to be cleaned.

  The invention of Japanese Patent Application Laid-Open No. 2007-282912 (Patent Document 1) relates to a cleaning tool in which a head with a brush is provided at the end of a long handle, and a CCD camera is provided on the back of the head. It is configured to be displayed on a liquid crystal display disposed below. The cleaning tool is used by irradiating a high-level cleaning surface that is out of reach with a lamp such as an LED, and using a liquid crystal display to determine how dirty the cleaning surface is while photographing the cleaning surface with the CCD camera. In this case, the cleaning surface is rubbed with a brush in front of the head to remove dirt and clean the cleaning surface.

  The invention of Japanese Patent Application Laid-Open No. 2008-212195 (Patent Document 2) is configured by attaching LEDs at a total of three locations in the center and the left and right positions of the suction body of the electric vacuum cleaner. Since the mouthpiece is a member that comes into contact with the surface of the tatami or flooring during cleaning, the mounting position of the LED is only a few cm away from the surface of the tatami or flooring. In particular, when cleaning the underside of a bed or desk, their position is dark, so it is a selling point that the LED can be cleaned while irradiating light and checking dust.

  In the invention of Japanese Patent Application Laid-Open No. 2010-240271 (Patent Document 3), a suction body that is in contact with the floor is connected to a long mounting pipe, a protrusion is provided at the tip of the mounting pipe, and an LED and a small camera are mounted on the protruding portion. It is the vacuum cleaner comprised. The LED and the small camera are arranged so as to take a picture of the floor surface, and are arranged so as to be located more than a dozen cm above the floor surface. The image of the small camera can be confirmed on the monitor attached to the main body of the vacuum cleaner. Therefore, it is a selling point that the floor surface is irradiated with light at the time of cleaning, and small dust that is difficult to see is illuminated with the above-mentioned illumination, so that the user can clean while checking the dust particles on the floor surface with a monitor. It is said.

JP 2007-282912 A JP 2008-212195 A JP 2010-240271 A

Although the cleaning tool of patent document 1 is described as cleaning while confirming dirt on a liquid crystal display by irradiating dirt on the surface to be cleaned at high places, it means that the dirt on the cleaning surface is confirmed by light irradiation. Means photographing the scattered light of dust particles by light irradiation with a CCD camera. However, the scattered light is very weak scattered light, and in order to increase the intensity of the scattered light, the adjustment of the irradiation angle of the light and the separation distance between the LED and the surface to be cleaned influences very sensitively and the adjustment. Has a weak point that is extremely difficult just by moving a long handle up and down and rotating the shaft. In addition, since the front of the head at the tip of the handle is a brush, and the back is an LED and a CCD camera, dust particles that have risen when cleaning the brush adhere to the surface of the LED or the CCD camera and cause a deterioration of the photographing function. There are drawbacks. Fundamentally, it is preferable that the LED and the CCD camera are separated from the head at the time of cleaning. Therefore, there is a problem in the configuration in which the brush and the LED / CCD camera are arranged on the front and back of the head.

  Since the vacuum cleaner of patent document 2 has arrange | positioning LED fixedly in the center of a mouthpiece, and right and left, when dust particles of a to-be-cleaned surface can be confirmed, when sucking and cleaning dust particles with a mouthpiece In addition, there is a possibility that the LED exists in the mouthpiece and the LED is contaminated with dust. When the surface to be cleaned is a floor surface, it is normal to clean the room while lighting it, and the weakly scattered light of the dust particles from the LED projection is buried in the lighting light from the lighting, and the floor It is considered that the weak scattered light hardly reaches the naked eye of the operator who operates the vacuum cleaner located about 1.5 m above the surface. It is assumed that LED flooding itself is unnecessary for cleaning such a large floor. For example, when cleaning a floor under a bed or a narrow floor between a desk and a bowl with this electric vacuum cleaner, the floor is light-irradiated with an LED. There is almost no cleaning while looking into. If it says from a conclusion, there exists a weak point in fixedly arrange | positioning LED in the suction body of a cleaner. In addition, when confirming dust particles on the floor surface, the light irradiation angle and the LED mounting height are very sensitively affected, and the fixing arrangement of the LED on the mouthpiece as in Patent Document 2 is angle adjustment and height. Since adjustment is impossible, there is a drawback that the dust particle checking operation itself does not function sufficiently.

  Since the vacuum cleaner of Patent Document 3 is configured by providing a protrusion at the tip of the mounting pipe and mounting an LED and a small camera on the protrusion, the surface of the floor surface is similar to the vacuum cleaner of Patent Document 2. When confirming dust particles, the light irradiation angle and LED mounting height are very sensitive, so the LED fixed arrangement as in Patent Document 3 cannot be adjusted in angle or height. There is a drawback that the dust particle checking operation itself does not function sufficiently. In particular, the mounting position of the LED is a few tens of centimeters above the floor surface, the irradiation angle of the LED to the floor surface reaches several tens of degrees, and it is almost impossible to confirm the scattered light of the dust particles on the floor surface. . Moreover, the operator's naked eye is about 1.5 m away from the floor surface, and even if scattered light exists, it is physically difficult to check with the naked eye. In addition, since the small camera is fixedly arranged, when dust particles on the surface to be cleaned can be confirmed, when dust particles are sucked and cleaned with the suction mouth, dust will fly and adhere to the small camera. However, the small camera is likely to be contaminated with dust. Furthermore, when a user uses a vacuum cleaner, usually the surface to be cleaned is vigorously cleaned at once, and the process of cleaning the surface to be cleaned over time while checking the monitor is troublesome, It can be a very inefficient cleaning method.

Therefore, the present invention separates the observation operation of the dust particles on the surface to be cleaned from the cleaning operation, and can determine whether the surface of the surface to be cleaned can be prevented from being contaminated by dust during cleaning. It is an object to provide a method and a cleaning method.
In addition, when observing dust particles on the surface to be cleaned, the present invention clarifies the relationship between the light irradiation angle with respect to the surface to be cleaned, the projection distance from the light source, and the clear reflected light from the dust particles. Therefore, it is possible to quickly and surely determine the degree of contamination of the surface to be cleaned. When it is determined that the surface is dirty, the cleaning tool can start the cleaning operation of the surface to be cleaned. Furthermore, the present invention uses a directional projector such as an LED or a laser light source having a strong forward directivity that has been rapidly spreading in recent years, and the irradiation angle and light projection are caused by weakly scattered light of dust particles on the surface to be cleaned. The purpose is to clarify the relationship of distance.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-described problems. In the first embodiment of the present invention, a surface to be cleaned is projected onto a surface to be cleaned by a directional projector that emits a directional light beam from a light projecting lens. This is a method for determining the degree of dirt on a surface to be cleaned by observing the dust particles from the scattered light from the dust particles on the surface. First, the optical axis height H of the directional projector on the specific surface to be cleaned The first step of approximately deriving a linear function of the boundary projection distance Ls from the projection lens to the boundary S that is the starting end of the dust visualization good region, and on the surface to be cleaned next, A two-stage discrimination method is proposed that combines the second stage of efficiently estimating the appearance region of the dust visualization good region using the linear function and discriminating the degree of dirt on the surface to be cleaned.
In the first stage, as shown in FIG. 2, when the surface to be cleaned is a specific surface to be cleaned for function derivation, the optical axis height from the specific surface to be cleaned to the optical axis of the directional projector is The directional projector is arranged in parallel with the specific surface to be cleaned so as to be H, and an area in which dust particles are not clearly observed in the vicinity of the projection lens is defined as an insufficiently visible area of the dust. When a region in which dust particles connected to the far side through the boundary S are clearly observed is a dust visualization good region, a distance from the light projecting lens to the boundary S is defined as a boundary light projection distance Ls, and the optical axis height When the height H is increased, a linear function of H = aLs + b (a, b: constant, a> 0) is approximately derived so that the boundary projection distance Ls also increases.
In the second stage, as shown in FIG. 12, the directional projector is placed horizontally on the surface to be cleaned so that the optical axis height is H with respect to the surface to be cleaned to determine the degree of contamination by dust particles. The boundary projection distance Ls corresponding to the optical axis height H is derived from the linear function H = aLs + b, and the projection distance from the projection lens on the surface to be cleaned is L. A region with a projection distance L that satisfies the relationship of L ≧ Ls with respect to the derived boundary projection distance Ls is estimated as a dust visualization good region, and dust particles are observed within the estimated dust visualization good region. Then, the degree of dirt on the surface to be cleaned is determined.
As described above, this first embodiment proposes a method for determining the degree of contamination of the surface to be cleaned by combining the first stage and the second stage.

In the second aspect of the present invention, the surface to be cleaned is projected by a directional projector that emits a directional light beam from the light projecting lens, and the dust particles are observed by scattered light from the dust particles on the surface to be cleaned. This is a method for determining the degree of contamination on the surface to be cleaned. First, the forward tilt angle θ of the directional projector on the specific surface to be cleaned and the left boundary T, which is the starting end of the dust visualization good region, from the projection lens The first step of approximately deriving a linear function with the left boundary projection distance Lt of the object, and the appearance area of the good dust visualization area using the linear function on the surface to be cleaned next is efficiently A two-stage discrimination method is proposed that combines a second stage for estimating the degree of contamination of the surface to be cleaned by estimating the condition.
In the first stage, as shown in FIG. 7, when the surface to be cleaned is a specific surface to be cleaned for function derivation, the front edge of the directional projector is in contact with the specific surface to be cleaned. When the rear edge of the directional projector is raised from the specific surface to be cleaned and the optical axis of the directional projector is tilted forward with respect to the specific surface to be cleaned at a forward tilt angle θ, dust is generated in the vicinity of the light projecting lens. When an area where particles are not clearly observed is an area where dust is insufficiently visualized, and an area where dust particles connected to the far side of the area where the dust is insufficiently visualized via the left boundary T is clearly defined as an area where dust is visualized satisfactorily, The distance from the projection lens to the left boundary T is the left boundary projection distance Lt, and when the forward tilt angle θ is increased, the relationship in which the left boundary projection distance Lt decreases is approximately θ = cLt + d (c, d: Derived by a linear function of constant, c <0) To do.
In the second stage, as shown in FIG. 13, the directivity is set in a state where the front edge of the directivity projector is in contact with the surface to be cleaned with respect to the surface to be cleaned to determine the degree of contamination by dust particles. The rear edge of the projector is raised from the surface to be cleaned, the optical axis of the directional projector is tilted forward with respect to the surface to be cleaned at a forward tilt angle θ, and the left boundary light projection distance Lt corresponding to the forward tilt angle θ is set. Derived from the linear function θ = cLt + d, and assuming that the projection distance from the projection lens on the surface to be cleaned is L, the relationship of L ≧ Lt is established with respect to the derived left boundary projection distance Lt. A region with a satisfactory projection distance L is estimated to be a dust visualization good region, and dust particles are observed in the estimated dust visualization good region to determine the degree of contamination of the surface to be cleaned.
As described above, this second embodiment proposes a method for determining the degree of contamination of the surface to be cleaned by combining the first stage and the second stage.

The third aspect of the present invention is an invention related to the end of the dust visualization good region (right boundary U) when the directional projector is tilted forward, and the above-mentioned related to the start end (left boundary T) of the dust visualization good region. It complements the second form. In the third embodiment, first, the primary tilt angle θ of the directional projector on the specific surface to be cleaned and the right boundary light projection distance Lu from the light projection lens to the right boundary U that is the end of the dust visualization good region. A first step of approximately deriving a function, and a surface to be cleaned next to be observed, the first-order function is used to efficiently estimate an appearance region of a good dust visualization region and A two-stage discrimination method combining a second stage for judging the degree of contamination is proposed.
In the first stage, an area where the dust visualization is insufficient appears continuously on the specific surface to be cleaned on the right boundary U of the dust visualization good area, and the distance from the light projecting lens to the right boundary U is set to the right side. When the boundary projection distance Lu is set to be larger and the forward tilt angle θ is increased, the right boundary projection distance Lu is reduced by a linear function of θ = eLu + f (e, f: constant, e <0). To derive.
In the second stage, as shown in FIG. 13, the directivity is set in a state where the front edge of the directivity projector is in contact with the surface to be cleaned with respect to the surface to be cleaned to determine the degree of contamination by dust particles. The rear edge of the projector is raised from the surface to be cleaned, and the optical axis of the directional projector is tilted forward with respect to the surface to be cleaned at a forward tilt angle θ, and the right boundary light projection distance Lu corresponding to the forward tilt angle θ is set. Derived from the linear function θ = eLu + f, and assuming that the projection distance from the projection lens on the surface to be cleaned is L, the left boundary projection distance Lt and the right boundary projection distance Lu are derived. On the other hand, the region of the projection distance L that satisfies the relationship of Lt ≦ L ≦ Lu is estimated to be a dust visualization good region, and dust particles are observed in the estimated dust visualization good region, and the surface to be cleaned is contaminated. Determine the condition. The inequality of Lt ≦ L is obtained by the second form, the inequality of L ≦ Lu is obtained by the third form, and the third form is constructed by combining these two inequalities. .
As described above, the third embodiment proposes a method for determining the degree of contamination of the surface to be cleaned by combining the first stage and the second stage.

The fourth embodiment of the present invention relates to the first embodiment when the directional projector is disposed in parallel to the optical axis height H with respect to the surface to be cleaned, and the left boundary T when tilted forward at the forward tilt angle θ. It relates to the invention combining the second form. In the fourth embodiment, first, a directional projector is arranged at the position of the optical axis height H in parallel to the specific surface to be cleaned, and a linear function of the optical axis height H and the boundary projection distance Ls is approximated. A linear function of the first stage of derivation and the forward tilt angle θ and the left boundary projection distance Lt by tilting the directional projector forward by the forward tilt angle θ with the front edge of the directional projector in contact with the specific surface to be cleaned. On the surface to be cleaned that is to be approximated and the surface to be cleaned next, the appearance area of the dust visualization good region is efficiently estimated by using the two linear functions, and the surface to be cleaned is A three-stage discrimination method combining a third stage for judging the degree of contamination is proposed. This three-stage discrimination method will be described in detail.
In the first stage, as shown in FIG. 12, when the surface to be cleaned is a specific surface to be cleaned for function derivation, the optical axis height from the specific surface to be cleaned to the optical axis of the directional projector is The directional projector is arranged in parallel with the specific surface to be cleaned so as to be H, and an area in which dust particles are not clearly observed in the vicinity of the projection lens is defined as an insufficiently visible area of the dust. When a region in which dust particles connected to the far side through the boundary S are clearly observed is a dust visualization good region, a distance from the light projecting lens to the boundary S is defined as a boundary light projection distance Ls, and the optical axis height The relation that the boundary projection distance Ls increases as the height H is increased is approximately derived by a linear function of H = aLs + b (a, b: constant, a> 0).
In the second stage, as shown in FIG. 13, the rear edge of the directional projector is raised from the specific cleaned surface in a state where the front edge of the directional projector is in contact with the specific cleaned surface. When the optical axis of the directional projector is tilted forward with respect to the specific surface to be cleaned at a forward tilt angle θ, an area where dust particles are not clearly observed in the vicinity of the light projecting lens is defined as an insufficiently visible area. When a region in which dust particles connected to the far side of the insufficient region via the left boundary T are clearly observed is a dust visualization good region, the distance from the light projecting lens to the left boundary T is the left boundary projection distance Lt. And the relationship that the left boundary projection distance Lt decreases as the forward tilt angle θ is increased is approximately derived by a linear function of θ = cLt + d (c, d: constant, c <0).
In the third stage, as shown in FIG. 14, the directional projector is positioned above the surface to be cleaned by a distance of the optical axis height H with respect to the surface to be cleaned to determine the degree of contamination by dust particles. It arranges so that it may become a parallel line with respect to a cleaning surface, and without moving the front edge of the directional floodlight from the parallel line, the rear edge of the directional floodlight is moved up, and the optical axis of the directional floodlight is changed. When tilted forward at a forward tilt angle θ with respect to the parallel line, the start end of the dust visualization good region that is continuous with the dust visualization insufficient region that occurs in the vicinity of the projection lens is from the projection lens to the start end. Lc = Lt + Ls + d / c, where Lc = Lt + Ls + d / c, and L = Lc, which satisfies the relationship of L ≧ Lc, where L is the projection distance from the projection lens on the surface to be cleaned. The area of L is the area where dust visualization is good It is a constant, and observed the dust particles in the estimated dust visualized well region, to determine the contamination degree of the surface to be cleaned.
As described above, in the fourth embodiment, a method for determining the degree of contamination on the surface to be cleaned, which combines the first stage, the second stage, and the third stage, is proposed.

The fifth aspect of the present invention is an invention relating to the end of the dust visualization good region (right boundary U) when the directional projector of the fourth form is tilted forward, and the start end (left boundary of the dust visualization good region) It complements the fourth embodiment relating to T). In this fifth embodiment, first, the primary tilt angle θ of the directional projector on the specific surface to be cleaned and the right boundary light projection distance Lu from the light projection lens to the right boundary U that is the end of the dust visualization good region. A first step of approximately deriving a function, and a surface to be cleaned next to be observed, the first-order function is used to efficiently estimate an appearance region of a good dust visualization region and A two-stage discrimination method combining a second stage for judging the degree of contamination is proposed.
In the first stage, as shown in FIG. 13, the rear edge of the directional projector is raised from the specific surface to be cleaned while the front edge of the directional projector is in contact with the specific surface to be cleaned. When the optical axis of the directional projector is tilted forward with respect to the specific surface to be cleaned at a forward tilt angle θ, the dust is not visible on the specific surface to be cleaned continuously to the right boundary U of the good dust visualization region. When a sufficient area appears and the distance from the light projecting lens to the right boundary U is the right boundary light projection distance Lu, and the forward tilt angle θ is increased, the right boundary light projection distance Lu decreases approximately by θ = Derived by a linear function of eLu + f (e, f: constant, e <0).
In the second stage, as shown in FIG. 14, the directional projector is placed above the surface to be cleaned by a distance of the optical axis height H with respect to the surface to be cleaned to determine the degree of contamination by dust particles. It arranges so that it may become a parallel line with respect to a cleaning surface, and without moving the front edge of the directional floodlight from the parallel line, the rear edge of the directional floodlight is moved up, and the optical axis of the directional floodlight is changed. When tilted forward with a forward tilt angle θ with respect to the parallel line, the end end of the dust visualization good region continuous with the dust visualization inadequate region generated in the vicinity of the projection lens is from the projection lens to the end end. When the end edge projection distance is Le, Le = Lu + Ls + d / c is given, and when the projection distance from the projection lens on the surface to be cleaned is L, the derived start end projection distance Lc and For the end-end projection distance Le , Lc ≦ L ≦ Le satisfying the relationship of the projection distance L is estimated as the dust visualization good region, the dust particles are observed in the estimated dust visualization good region, and the degree of contamination of the surface to be cleaned is estimated. Is determined. The inequality of Lc ≦ L is obtained by the fourth form, the inequality of L ≦ Le is obtained by the fifth form, and the fifth form is constituted by combining these two inequalities. .
As described above, this fifth embodiment proposes a method for determining the degree of contamination of the surface to be cleaned by combining the first stage and the second stage.

  The sixth aspect of the present invention variably adjusts the illuminance of the surface to be cleaned that is irradiated with light by the directional projector by adjusting the intensity of the directional projector, and is based on the dust particles on the surface to be cleaned. This is a method for determining the degree of contamination of a surface to be cleaned that facilitates observation of weak scattered light.

  A seventh aspect of the present invention is a method for determining the degree of contamination of a surface to be cleaned, wherein the directional projector is a directional projector having forward directivity using an LED, a laser light source, or a lamp as a light source.

  The eighth aspect of the present invention uses the above-described method for determining the degree of contamination of the surface to be cleaned, observes dust particles in the dust visualization good region on the surface to be cleaned, and judges the observation result to determine the object to be cleaned. It is the cleaning method of the surface to be cleaned for cleaning the surface.

In the first embodiment of the present invention, as shown in FIGS. 2 and 12, the linear function H = aLs + b between the optical axis height H and the boundary projection distance Ls can be easily measured. First, the distance between the center of the projection lens of the directional light projector and its bottom surface is minimized optical axis height H _0. After that, when the directional projector is placed on the specific surface to be cleaned, and the directional projector is raised above the specific surface to be cleaned, the distance between the light projecting lens and the specific surface to be cleaned becomes the optical axis height H. Equivalent to. Accordingly, the optical axis height H can be set in the range of H ≧ H _0. The boundary projection distance Ls is measured for each optical axis height H. The linear function H = aLs + b can be easily derived by regressing the relationship between H and Ls with a linear function. In this manner, when a directional projector for measurement is determined, a linear function H = aLs + b unique to the directional projector can be determined in advance. Obviously, when the high-axis height H is increased, the dust visualization good region is moved away from the projection lens, and therefore the boundary projection distance Ls is increased. In other words, the slope a of the linear function is naturally a> 0. If this linear function is known in advance, even if the directional projector is not placed on any surface to be cleaned, if dust particles are present on the surface to be cleaned, It can be predicted that dust particles can be clearly confirmed in front of the optical lens and far from the boundary projection distance Ls. Therefore, when the directional projector is actually placed on the surface to be cleaned, the presence or absence of dust particles can be quickly and easily determined by keeping the naked eye at a position farther than the boundary projection distance Ls. Is possible. If the linear function is unknown, the position where dust particles are observed can only be determined by trial and error even if the directional projector is placed on the surface to be cleaned. That is, not only can the appearance position of dust particles be predicted by this linear function, but also the presence / absence of dust particles can be confirmed quickly and easily in an actual observation operation.
When the dust particles are confirmed by the electronic device, the electronic device cannot observe the entire surface to be cleaned at a stretch even if the surface to be cleaned is irradiated with light by a directional projector. There is no other way but to confirm dust particles while scanning forward from the position of the projection lens on the cleaning surface. That is, since it is necessary to scan a region where dust is insufficiently visualized, unnecessary time is wasted. When the present invention is used, since the linear function is already known, it is only necessary to scan the dust visualization good region, and dust particles can be easily confirmed at a position farther than the boundary projection distance Ls as measured from the projection lens. It should be. Therefore, the observation of the dust particles by the electronic device may be set far from the position of the boundary projection distance Ls, and the observation time of the dust particles by the electronic device can be drastically shortened.
In summary, the linear function has a technical effect that allows the operator to predict the appearance position of dust particles when observing the dust particles, and shortens the scanning time when observing the dust particles with an electronic device. There is a technical effect.

Also in the second embodiment of the present invention, as shown in FIGS. 7 and 13, the linear function θ = cLt + d of the forward tilt angle θ and the left boundary light projection distance Lt can be easily measured. First, when the directional projector is placed on the specific surface to be cleaned, assuming that the bottom surface of the directional projector is parallel to the optical axis, the forward tilt angle θ = 0. Thereafter, the front edge of the directional projector is brought into contact with the specific surface to be cleaned, the rear edge is raised, and the directional projector is tilted forward by the forward tilt angle θ. Therefore, the forward tilt angle θ can be set in a range of θ ≧ 0. The left boundary projection distance Lt is measured for each forward tilt angle θ. The linear function θ = cLt + d can be easily derived by regressing the relationship between θ and Lt with a linear function. In this way, when a directional projector for measurement is determined, a linear function θ = cLt + d unique to the directional projector can be determined in advance. When the forward tilt angle θ is increased, the dust visualization good region approaches the light projection lens side, so it is clear that the left boundary light projection distance Lt becomes small. In other words, the slope c of the linear function is naturally c <0.
If this linear function is known in advance, even if the directional projector is not tilted before placing on any surface to be cleaned, if dust particles are present on the surface to be cleaned It can be predicted that dust particles can be clearly confirmed in front of the projection lens and farther than the left boundary projection distance Lt. Therefore, when the directional projector is actually tilted before being placed on the surface to be cleaned, the presence or absence of dust particles can be determined quickly and easily by directing the naked eye toward a position farther than the left boundary projection distance Lt. It becomes possible to judge. If the linear function is unknown, the position where the dust particles are observed can only be determined by trial and error even if the directional projector is tilted before being placed on the surface to be cleaned. That is, not only can the appearance position of dust particles be predicted by this linear function, but also the presence / absence of dust particles can be confirmed quickly and easily in an actual observation operation.
In addition, when the dust particles are confirmed by the electronic device, even if the surface to be cleaned is irradiated with light by the directional projector, the electronic device cannot perform the entire observation of the surface to be cleaned at once. The dust particles must be confirmed while scanning from the projection lens position on the surface to be cleaned far away. That is, since it is necessary to scan a region where dust is insufficiently visualized, unnecessary time is wasted. When the present invention is used, since the linear function is already known, only the dust visualization good region needs to be intensively scanned, and dust particles are measured at a position farther from the left boundary projection distance Lt as measured from the projection lens. It should be easy to confirm. Therefore, the observation of the dust particles by the electronic device may be set farther than the position of the left boundary projection distance Lt, and the observation time of the dust particles by the electronic device can be shortened rapidly.
That is, the linear function has a technical effect that allows the operator to predict the appearance position of dust particles when observing the dust particles, and shortens the scanning time when observing the dust particles with an electronic device. Needless to say, it has a technical effect.

According to the third embodiment of the present invention, as shown in FIGS. 7 and 13, the linear function θ = eLu + f between the forward tilt angle θ and the right boundary light projection distance Lu can be easily measured. First, as described in the second embodiment, the directional projector is tilted forward at a forward tilt angle θ on the specific surface to be cleaned. While increasing the forward tilt angle θ, the right boundary light projection distance Lu is measured for each forward tilt angle θ. The linear function can be easily derived by regressing the relationship between θ and Lu with a linear function. In this way, if a directional projector for measurement is determined, a linear function θ = eLu + f unique to the directional projector can be determined in advance. When the forward tilt angle θ is increased, the dust visualization good region approaches the light projection lens side, so it is clear that the right boundary light projection distance Lu also decreases. That is, it is obvious that the slope e of the linear function is e <0.
If this linear function is known in advance, even if the directional projector is not tilted before placing on any surface to be cleaned, if dust particles are present on the surface to be cleaned It can be predicted that dust particles can be clearly confirmed in front of the right projection lens and in front of the right boundary projection distance Lu. Therefore, when the directional projector is actually tilted before being placed on the surface to be cleaned, the presence or absence of dust particles can be determined quickly by keeping the naked eye at a position closer to the front side than the right boundary projection distance Lu. It becomes possible to easily judge. In the second embodiment, dust particles can be confirmed farther than the left boundary projection distance Lt. Therefore, when combined with the third embodiment, the dust particles can be clearly confirmed within the range of Lt ≦ L ≦ Lu. When the linear function is unknown, it is only possible to determine to what extent the dust particles are observed by trial and error even if the directional projector is tilted before being placed on the surface to be cleaned. That is, not only can the appearance position of dust particles be predicted by this linear function, but also the presence / absence of dust particles can be confirmed quickly and easily in an actual observation operation.
In addition, when the dust particles are confirmed by the electronic device, even if the surface to be cleaned is irradiated with light by the directional projector, the electronic device cannot perform the entire observation of the surface to be cleaned at once. The dust particles must be confirmed while scanning from the projection lens position on the surface to be cleaned far away. That is, since a dust visualization insufficient region that is further away from the dust visualization good region must be scanned, a very long unnecessary time is wasted. When the present invention is used, since the linear function is already known, only the dust visualization good region represented by Lt ≦ L ≦ Lu needs to be intensively scanned, and the left boundary light projection distance measured from the light projection lens. Dust particles should be easily confirmed within the range of Lt to the right boundary projection distance Lu. Therefore, the observation of dust particles by the electronic device may be set within the range of Lt ≦ L ≦ Lu, and the observation time of dust particles by the electronic device can be dramatically shortened.
That is, the linear function has the technical effect that the operator can predict the appearance range of the dust particles when observing the dust particles, and the scanning time is extremely shortened when the dust particles are observed by the electronic device. Has the technical effect of

In the fourth embodiment of the present invention, the directional projector is disposed in parallel above the specific surface to be cleaned, spaced apart by the optical axis height H, and then the front edge is fixed and the rear edge is raised to increase the forward tilt angle. When tilted forward by θ, the start end projection distance from the projection lens to the start end (left boundary T) of the dust visualization good region is approximately derived by combining the first form and the second form. A method is given. In the first embodiment, when the optical axis height H is raised and arranged in parallel, the relationship between the optical axis height H and the boundary projection distance Ls is given by H = aLs + b. It is shown that the relationship between the forward tilt angle θ and the left boundary light projection distance Lt is given by θ = cLt + d when tilted forward on the surface to be cleaned by the forward tilt angle θ.
FIG. 14 shows how the first embodiment and the second embodiment described above are approximately combined to derive the fourth embodiment. Therefore, the approximate derivation method will be described with reference to FIG. When the horizontally disposed directional projector upwards by the optical axis height H, satisfied a linear function H = ALS + b, the boundary projection distance Ls when the optical axis height H indicated by a point P _1. Assuming that the point P ₁ is fixed and the directional projector is tilted forward, drawing the linear function θ = cLt + d from this point P ₁ is an introduction of approximation. The points left boundary projection distance Lt when the forward inclination θ corresponding to the point P _2. In this fourth embodiment, when the forward tilt angle θ is tilted forward in the air with the optical axis height H, the start end projection distance Lc of the dust visualization good region is expressed by Lc = Lt + P ₄ P according to the equation (12-9). ₅ is given. Since P ₄ P ₅ = Ls−P ₁ P _{4 according} to the equation (12-8) and P ₁ P ₄ = −d / c according to the equation (12-7), when substituting into the equation (12-8) P ₄ P ₅ = Ls − (− d / c) = Ls + d / c. Therefore, it was found from the equation (12-9) that Lc = Lt + Ls + d / c. From the above, it was approximately proved that the start end projection distance Lc is given by Lc = Lt + Ls + d / c.
Therefore, in the fourth embodiment, when the directional projector is disposed at the optical axis height H and tilted forward at the forward tilt angle θ, the start-end projection distance Lc in the dust visualization good region is Lc = Lt + Ls + d / c. If the projection distance from the projection lens is L, the region of L ≧ Lc corresponds to the dust visualization good region, and if dust particles are present if the region of L ≧ Lc is observed with the naked eye or an electronic device. It becomes possible to quickly and easily detect weakly scattered light from dust particles.
If this inequality is known in advance, even if the directional projector is not placed on any surface to be cleaned, if the dust particles are present on the surface to be cleaned, It can be predicted that dust particles can be clearly confirmed in front of the lens and far from the start end projection distance Lc. Therefore, when the directional projector is actually placed on the surface to be cleaned, the presence or absence of dust particles can be quickly and easily determined by keeping the naked eye at a position farther than the start-end projection distance Lc. It becomes possible. If the inequality is unknown, the position where the dust particles are observed can only be determined by trial and error even when the directional projector is placed on the surface to be cleaned. That is, not only can the appearance position of the dust particles be predicted by this inequality, but also the presence / absence of the dust particles can be quickly and easily confirmed in the actual observation operation.
Furthermore, as described above, when the dust particles are confirmed by the electronic device, the electronic device cannot observe the entire surface to be cleaned at a stretch even if the surface to be cleaned is irradiated with light by a directional projector. Since it is possible, there is nothing but to confirm the dust particles while scanning all the way forward from the position of the projection lens on the surface to be cleaned. That is, since it is necessary to scan a region where dust is insufficiently visualized, unnecessary time is wasted. When the present invention is used, since the inequality is already known, it is only necessary to scan the dust visualization good region, and dust particles should be easily confirmed at a farther position as measured from the light projecting lens. Therefore, the observation of the dust particles by the electronic device may be set far from the position of the start end projection distance Lc, and the observation time of the dust particles by the electronic device can be shortened rapidly.

In the fifth aspect of the present invention, the directional projector is disposed in parallel above the specific surface to be cleaned, spaced apart by the optical axis height H, and then the front edge is fixed and the rear edge is raised to increase the forward tilt angle. When tilted forward by θ, the end-end projection distance Lu from the projection lens to the end of the good dust visualization region (right boundary U) is approximately derived by combining the first form and the third form. A way to do is given. In the first embodiment, when the optical axis height H is increased and arranged in parallel, the relationship between the optical axis height H and the boundary projection distance Ls is given by H = aLs + b. It is shown that the relationship between the forward tilt angle θ and the right boundary light projection distance Lu is given by θ = eLu + f when tilted forward on the surface to be cleaned by the forward tilt angle θ.
FIG. 14 shows how the first embodiment and the third embodiment described above are approximately combined to derive the fifth embodiment. Therefore, the approximate derivation method will be described with reference to FIG.
When the horizontally disposed directional projector upwards by the optical axis height H, satisfied a linear function H = ALS + b, the boundary projection distance Ls when the optical axis height H indicated by a point P _1. Considering that the point P ₁ is fixed and the directional projector is tilted forward, it is an approximation to draw a linear function θ = eLu + f with this point P ₁ as a starting point. The terms of the right boundary projection distance Lu at forward inclination θ corresponding to the point P _3. In the fifth embodiment, when the forward tilt angle θ is tilted forward in the air with the optical axis height H, the end projection distance Le of the dust visualization good region is Le = Lu + P ₄ P according to the equation (12-10). ₅ is given. Since P ₄ P ₅ = Ls−P ₁ P _{4 according} to the equation (12-8) and P ₁ P ₄ = −d / c according to the equation (12-7), when substituting into the equation (12-8) P ₄ P ₅ = Ls − (− d / c) = Ls + d / c. Therefore, it was found from the formula (12-10) that Le = Lu + Ls + d / c. From the above, it has been approximately proved that the end-end projection distance Le is given by Le = Lu + Ls + d / c.
Therefore, in the fifth embodiment, when the directional projector is disposed at the optical axis height H and tilted forward at the forward tilt angle θ, the end projection distance Le in the dust visualization good region is Le = Lu + Ls + d / c. When the light projection distance from the light projection lens is L, the region of L ≦ Le corresponds to the region of good dust visualization. If the region of L ≦ Le is observed with the naked eye or an electronic device, dust particles are present. It becomes possible to quickly and easily detect weakly scattered light from dust particles. Moreover, since the region of L ≧ Lc corresponds to the dust visualization good region from the fourth embodiment, when combined with L ≦ Le, it is determined that the range of Lc ≦ L ≦ Le is the dust visualization good region.
If this inequality is known in advance, even if the directional projector is not placed on any surface to be cleaned, if the dust particles are present on the surface to be cleaned, It can be predicted that dust particles can be clearly confirmed in front of the lens and farther than the start end projection distance Lc and before the end end projection distance Le. Therefore, when the directional projector is actually placed on the surface to be cleaned, it is possible to quickly and easily determine the presence or absence of dust particles by keeping the naked eye in the range of Lc ≦ L ≦ Le. Become. If the inequality is unknown, the position where the dust particles are observed can only be determined by trial and error even when the directional projector is placed on the surface to be cleaned. That is, not only can the appearance position of the dust particles be predicted by this inequality, but also the presence / absence of the dust particles can be quickly and easily confirmed in the actual observation operation.
Furthermore, as described above, when the dust particles are confirmed by the electronic device, the electronic device cannot observe the entire surface to be cleaned at a stretch even if the surface to be cleaned is irradiated with light by a directional projector. Since it is possible, there is nothing but to confirm the dust particles while scanning all the way forward from the position of the projection lens on the surface to be cleaned. That is, since it is necessary to scan a region where dust is insufficiently visualized, unnecessary time is wasted. By using the present invention, since the inequality is already known, it is only necessary to scan the dust visualization good region, the dust visualization insufficient region on the near side as measured from the projection lens, and the dust visualization insufficient region farther away. By avoiding this, dust particles should be able to be observed quickly and easily. Therefore, the observation of the dust particles by the electronic device may be performed by setting the projection distance L limited to the range of Lc ≦ L ≦ Le, and the observation time of the dust particles by the electronic device can be drastically shortened. Become.

  According to the sixth aspect of the present invention, by adjusting the intensity of the directional projector, the illuminance of the surface to be cleaned that is irradiated by the directional projector is variably adjusted, and the dust particles on the surface to be cleaned are adjusted. A method for determining the degree of contamination of the surface to be cleaned is provided. Simply, it can be easily predicted that if the luminous intensity is increased by C times, the illuminance of the surface to be cleaned will also increase by C times. In general, luminous intensity, luminous flux, and illuminance are defined as follows. If the luminous intensity of the directional projector as the light source is C (candela), a C lumen luminous flux is emitted per unit solid angle (1 steradian). Since the solid angle spanned by the area S (m2) orthogonal to the light beam at a position away from the light source by R (m) is S / R2 (steradian), the light beam entering the area S is C × S / R2 (lumen). . Accordingly, the illuminance on the surface is C × S / R2 (look), that is, C × S / R2 (lx). That is, if the surface is a surface to be cleaned, the weakly scattered light from the dust particles on the surface to be cleaned is proportional to C × S / R2, and therefore can be considered to be simply proportional to the light intensity C (candela) of the light source. . Therefore, by adjusting the intensity of the directional projector, it is possible to increase the technical effect of the method for determining the degree of contamination of the surface to be cleaned according to the present invention by selecting the intensity at which the dust particles are best observed. it is obvious.

  According to the seventh aspect of the present invention, there is provided a quick and reliable method for determining the degree of contamination of a surface to be cleaned by using a light source having forward directivity composed of an LED, a laser light source or a lamp as a directional projector. Can do. In particular, the development of LEDs in recent years has been tremendous, and by combining LEDs and lenses, directional projectors with high brightness, high directivity, and low price have come to be provided to the market. In addition, low-cost semiconductor laser light sources have been developed, and their light directivity far exceeds that of LEDs. Furthermore, even with a conventional lamp, a highly directional projector can be realized by developing a reflecting mirror. Therefore, the present invention can be easily realized by using these directional projectors.

  According to the eighth aspect of the present invention, by using the above-described method for determining the degree of contamination of the surface to be cleaned, the dust particles are observed within the dust visualization good region on the surface to be cleaned, and the observation result is determined and The cleaning method of the to-be-cleaned surface which cleans to-be-cleaned surface can be provided. As described above, the feature of the present invention is that the light source is separated from the mop or the electric vacuum cleaner, and the observation of dust by the directional projector and the subsequent cleaning action are separated. Therefore, it is first determined whether or not dust particles are present on the surface to be cleaned with a directional projector, and if so, the surface to be cleaned is cleaned with a mop or an electric vacuum cleaner, and if not, the surface to be cleaned is clean. Therefore, there is no need for cleaning. That is, it is a feature of the present invention that the method of determining the degree of contamination of the surface to be cleaned according to the present invention first determines the degree of contamination of the surface to be cleaned and determines whether or not to perform the cleaning action based on this determination.

FIG. 1 is an observation perspective view in which dust particles are visualized by scattered light by horizontally arranging a directional projector on a surface to be cleaned in the present invention. FIG. 2 is a horizontal measurement diagram of a dust visualization insufficient region (A) and a dust visualization good region (B) when a directional projector is horizontally raised by H (mm) from the surface to be cleaned in the present invention. FIG. 3 is a boundary line estimation calculation diagram for estimating the linear function H = aLs + b giving the boundary line S of FIG. 4 by the least square method in the present invention (first example). FIG. 4 shows the case where a directional projector (first example) having a cross-sectional radius H ₀ = 8 mm is used in the present invention, the boundary values in Table 2 are plotted, and the dust visualization good region (B) and dust in Table 1 are plotted. It is the HL relationship figure which showed the visualization insufficient area | region (A). FIG. 5 is a change diagram of a dust visualization state when the first directional projector is tilted forward from the horizontal by a forward tilt angle θ in the present invention. FIG. 6 is a derivation process diagram of the forward tilt projection distance X from the projection distance Ln when the forward tilt angle θ is tilted forward as shown in FIG. 5 in the present invention. FIG. 7 is a dust visualization state diagram when the front edge of the directional projector is brought into contact with the surface to be cleaned and the rear edge is lifted with cardboard and tilted forward in the present invention. FIG. 8 is a graph showing the dust visualization good region (B) and the dust visualization insufficient region (A) by plotting the boundary values in Table 5 when the directional projector of the first example is used in the present invention. FIG. FIG. 9 is a boundary line estimation calculation diagram for estimating the linear function θ = cLt + d that gives the left boundary line T of FIG. 8 by the least square method in the present invention (first example). FIG. 10 is a boundary line estimation calculation diagram for estimating the linear function θ = eLu + f giving the right boundary line U of FIG. 8 by the least square method in the present invention (first example). FIG. 11 is a diagram of the present invention when the optical axis of the directional projector of the first example (H ₀ = 8 mm) is horizontally raised by H (mm) from the surface to be cleaned and is tilted forward by a forward tilt angle θ. FIG. 9 is a dust visualization derivation diagram that graphically derives a dust visualization good region (B) by combining FIG. 4 and FIG. 8. FIG. 12 is an explanatory diagram for giving a good dust visualization region by L ≧ Ls using the boundary projection distance Ls in the first embodiment of the present invention. FIG. 13 is an explanatory diagram for giving a good dust visualization region by L ≧ Lt or Lt ≦ L ≦ Lu using the left boundary projection distance Lt and the right boundary projection distance Lu in the second or third embodiment of the present invention. It is. FIG. 14 is an explanatory diagram for giving a good dust visualization region by L ≧ Lc or Lc ≦ L ≦ Le using the start end projection distance Lc and the end end projection distance Le in the fourth embodiment or the fifth embodiment of the present invention. It is. FIG. 15 is a graph showing boundary values in Table 7 plotted when the directional projector (second example) having a cross-sectional radius H ₀ = 15 mm is used in the present invention. It is the horizontal visualization figure which showed the visualization insufficient area | region (A). FIG. 16 is a graph showing the dust visualization good region (B) and the dust visualization insufficient region (A) by plotting the boundary values in Table 9 when the directional projector of the second example is used in the present invention. FIG. FIG. 17 is a diagram showing a state in which the optical axis of the directional projector of the second example (H ₀ = 15 mm) is horizontally raised by H (mm) from the surface to be cleaned and is tilted forward by a forward tilt angle θ in the present invention. FIG. 17 is a dust visualization derivation diagram that graphically derives a dust visualization good region (B) by combining 15 and FIG. 16.

  Hereinafter, embodiments of a method for determining the degree of contamination of a surface to be cleaned and a cleaning method according to the present invention will be described in detail with reference to the drawings and tables.

  FIG. 1 is an observation perspective view in which dust particles are visualized by scattered light by horizontally arranging a directional projector on a surface to be cleaned in the present invention. A directional projector 4 is placed on the surface to be cleaned 2 to be cleaned, and an infinite number of light beams are emitted from the light projecting lens 6 toward the front as a light cone 8. As shown. Dust particles 12 made of particles, fiber scraps, hair, etc. are scattered on the surface 2 to be cleaned, and weak scattered light is reflected from the dust particles 12 to the sky by the irradiation of the light cone 8. . The weak scattered light includes a good scattered light 14 drawn by a solid line where the dust particles 12 are clearly confirmed as viewed from the observer 16 and an insufficient scattered light 15 drawn by a dotted line that can only be seen indefinitely. Is included. It can be seen that the good scattered light 14 appears considerably far from the light projecting lens 6 of the directional projector 4, and the insufficient scattered light 15 appears in the vicinity of the light projecting lens 6. The reason why the light is separated into good scattered light 14 and insufficient scattered light 15 can be considered as follows. In the vicinity of the light projecting lens 6, incident light is incident on the dust particles 12 at a high angle. Therefore, a shadow area formed behind the dust particles 12 is reduced, and the contrast between the bright part of the dust particles 12 and the shadow is reduced. Decreases and becomes weak scattered light that is difficult for the observer 16 to observe. On the other hand, since the incident light is incident on the dust particles 12 at a low angle in the distance from the light projecting lens 6, the shadow formed behind the dust particles 12 becomes longer, and the contrast between the shadow and the dust particles 12 becomes stronger. It is considered that the observer 16 has good scattered light 14. Further, when the light is incident at a high angle, the reflected light from the surface to be cleaned 2 reaches the observer 16 and the weak scattered light from the dust particles 12 is buried in the bright reflected light, so that the weak scattered light is difficult to see. Therefore, it is considered that the scattered light 15 is insufficient in the vicinity. Therefore, in the vicinity, explanation can be made by considering that the decrease in contrast and the buried property of weakly scattered light are difficult to observe.

FIG. 2 is a horizontal measurement diagram of a dust visualization insufficient region (A) and a dust visualization good region (B) when the directional projector 4 is horizontally raised by H (mm) from the surface to be cleaned 2 in the present invention. is there. The center line passing through the light projecting lens 6 of the directional projector 4 is the optical axis, and the optical axis height H ₀ (mm) corresponds to the cross-sectional radius of the directional projector 4. In order to raise the optical axis of the directional projector 4 from the surface 2 to be cleaned by the optical axis height H (mm), the directional projector 4 has a thickness nΔh (mm) on the bottom side of the front edge and the rear edge. Thick papers 18 and 18 are stacked. The thick paper 18 is formed by stacking n paper plates having a thickness Δh (mm). When the directional projector 4 is turned on in this state, the light cone 8 is irradiated forward from the projector lens 6. Insufficient scattered light 15 represented by a dotted line is generated in a dust visualization insufficient region (A) from the projection lens 6 to the boundary S, and the length is given by the boundary projection distance Ls (cm). Further, a dust visualization good region (B) is formed far from the boundary S, and the good scattered light 14 by the dust particles 12 is indicated by a solid line. A solid line drawn in parallel to the surface to be cleaned 2 from the light projecting lens 6 is the optical axis 20. The reflection angle of the insufficiently scattered light 15 is larger than the reflection angle of the good scattered light 14, so that the insufficiently scattered light 15 is only observed indefinitely by the observer 16, while the good scattered light 14 is at a lower angle. It can be seen that it is clearly observed for the observer 16 because of the scattered light at.

  Assuming that the number of paper plates is n, the optical axis height H (mm) is H = H0 + nΔh. In this embodiment, Δh = 0.40 (mm) is used, but it goes without saying that the thickness can be freely adjusted. As the number n is gradually increased from 0 to 16, the optical axis height H (mm) reaches H = H0 + 6.40 (mm). As a first example, if the cross-sectional radius H0 of the directional projector 4 is H0 = 8.00 (mm), the optical axis height H is changed in the range of H = 8.00 to 14.40 (mm). Can be made. When the optical axis height H is increased, the light cone 8 moves upward, so that the intersection point Q1 between the light cone 8 and the surface to be cleaned 2 gradually moves farther, and the boundary light projection distance Ls increases accordingly. .

  Table 1 is a list of visualization states when the optical axis of the directional projector 4 (first example) is raised horizontally from the surface to be cleaned 2 by H (mm). Visualization state is best seen (◎), visible (O), somewhat visible (△), invisible at the position of projection distance L = 5, 10 ... 50 (cm) for each optical axis height H ( The visual judgment was made in four stages (x).

  In Table 1, for each value of the optical axis height H (mm), a frame marked with a circle that appears at the position of the smallest value of the projection distance L is formed by a thick line. A boundary line connecting these thick line frames is a boundary line S (also referred to as a boundary) between the dust visualization insufficient region (A) and the dust visualization good region (B). That is, the dust visualization insufficient region (B) is a light projection region on the left side of the Δ mark (× and Δ regions), and the dust visualization good region (A) is a light projection region on the right side of the ○ mark (circles of ○ and ◎). Area).

  Table 2 shows the start coordinates of the dust visualization good region (B) obtained from the horizontal state visualization state table (Table 1) of the directional projector (first example), that is, the good region (B) and the insufficient region (A). The coordinate group of the boundary S is shown. In other words, the coordinate group includes a light projection distance L (cm) and a limit optical axis height Hmax (mm). In Table 1, it is a coordinate group of the position surrounded by the thick line frame, and Hmax is the optical axis height H (mm) that gives a state (◯) in which dust can be seen at the position of the projection distance L (cm). The optical axis height is the maximum value. Therefore, the optical axis height region of H (mm) ≦ Hmax (mm) at the position of the specific projection distance L (cm) is a region where the dust can be seen (◯ and ◎).

  The least square method is applied to these coordinate groups, and the regression equation of the boundary line S at L = 10, 15, 20, 25, 30 (cm) is derived as a linear function. That is, when regression is performed with a linear function of H = aLs + b as shown in Equation (3-1) in Table 2, a = 0.336 and b = 4.16 are derived, and thus Equation (3) is expressed as follows: H (mm) = 0.336 Ls (cm) +4.16 is obtained as the boundary line S.

  FIG. 3 is a boundary line estimation calculation diagram for estimating the linear function H = aLs + b giving the boundary line S of FIG. 4 by the least square method in the present invention (first example). In the table shown in the figure, (X, Y) means (L, Hmax), where X is in cm and Y is in mm. The inclination a and the intercept b are calculated by the equations (1) and (2) using the least squares method with these five coordinate points. As a result, a = 0.336 and b = 4.16 were obtained. Therefore, it was found that the linear function that gives the boundary line S is H = 0.336Ls + 4.16 as shown in Equation (3).

FIG. 4 shows the case where a directional projector (first example) having a cross-sectional radius H ₀ = 8 mm is used in the present invention, the boundary values in Table 2 are plotted, and the dust visualization good region (B) and dust in Table 1 are plotted. It is the HL relationship figure which showed the visualization insufficient area | region (A). The area on the left side of the boundary line S is a dust visualization insufficient area (A), and the area on the right side of the boundary line S is a dust visualization good area (B). The usage of this table is as follows. When the optical axis of the directional projector is horizontally arranged above the surface to be cleaned H (mm), the projection distance L on the boundary line S corresponding to the H becomes the boundary projection distance Ls. Therefore, the region of L ≦ Ls is the dust visualization insufficient region (A), and the region of L ≧ Ls is the dust visualization good region (B). If the linear function of the boundary line S corresponding to the directional projector to be used is known in advance, the region where the dust particles are clearly confirmed is the dust visualization good region (B). What is necessary is just to judge the presence or absence of a dust particle paying attention to an area | region. When the observer is the naked eye, the naked eye has the ability to instantaneously determine the entire surface to be cleaned, so there is little need to pay attention to the region where L ≧ Ls. However, when the observer is an electronic device, the electronic device does not have the ability to instantaneously determine the entire surface to be cleaned, and therefore, by operating the electronic device while paying attention to the region of L ≧ Ls. In addition, it is possible to determine whether dust particles are present in a short time. If there is no information of L ≧ Ls, the electronic device must scan the entire region of L ≧ 0, and it is clear that the time to scan the region of 0 ≦ L ≦ Ls is wasted. Therefore, it can be said that FIG. 4 which gives information of L ≧ Ls is epoch-making in the confirmation scanning of dust particles using an electronic device.

FIG. 5 is a change diagram of the dust visualization state when the directional projector is tilted forward from the horizontal by the forward tilt angle θ in the present invention. In FIG. 5, when the directional projector 4 is tilted forward by the forward tilt angle θ, the distance to the point where the light beam intersects the surface to be cleaned, that is, the light projection distance Ln in the horizontal state, is theoretically reduced. Will be considered. This reduced projection distance is represented by a forward tilt projection distance X. A graphic represented by a broken line indicates a horizontal state, and a graphic represented by a solid line indicates an inclined state. The center of the directional projector 4 is 4a, the optical axis 20 extends from the center 4a, and the light beam is projected from the center 4a onto the surface to be cleaned. Height from a surface to be cleaned to the center 4a is an optical axis height H, the length from the center to the projection lens is Hanjikucho L _0. The angle formed by the light beam reaching the projection distance Ln (shown by a broken line) and the vertical line indicating the optical axis height H is the projection angle α.

  FIG. 6 is a derivation process diagram of the forward tilt projection distance X from the projection distance Ln when the forward tilt angle θ is tilted forward as shown in FIG. 5 in the present invention. Referring to FIG. 5, tan (α) and tan (α−θ) are given by Equation (4) and Equation (5). The relationship between the projection distance Ln and the forward tilt projection distance X is derived by eliminating the projection angle α from the formulas (4) and (5). First, when tan (α−θ) is expanded, Equation (6) is obtained. By substituting Equation (4) and Equation (5) into Equation (6), Equation (7) can be obtained. When this formula (7) is solved to find the forward tilted projection distance X, formula (8) is obtained. As can be seen from this equation (8), it can be seen that X is expressed by four parameters L0, Ln, H, and θ. Since X is smaller than Ln, when X / Ln is obtained, Equation (9) is obtained. Since θ ≧ 0, it is natural that X / Ln ≦ 1. It is shown by numerical calculation that the formula (9) has the property of X / Ln ≦ 1. The results of this numerical calculation are shown in Table 3.

Table 3 uses the numerical values of L ₀ (mm), Ln (mm), θ (degrees), and H (mm) to calculate X (mm) and X / Ln according to Equation (8) and Equation (9). The calculation results are shown. When the semi-axial length L0 is fixed to 46.5 mm, Ln = 100 mm and H = 8.8 mm, the forward tilt angle θ is increased to 0 degrees, 0.7 degrees, and 1.34 degrees. (Mm) and X / Ln were calculated. As a result, it was found that X was reduced to 100.0 mm to 58.8 mm, and X / Ln was reduced to 1.000 to 0.588. Further, the behavior at a far point of Ln = 700 mm was examined. X (mm) and X / Ln were calculated when the forward tilt angle θ was increased from 0 to 5 degrees with H = 10 mm fixed. As a result, it was found that X decreased to 700.0 mm to 52.6 mm and X / Ln decreased to 1.000 to 0.075. From these results, it was found that when the directional projector is tilted forward, the projection distance Ln near and at a distance from the projection lens rapidly approaches the projection lens side. FIG. 5, FIG. 6, and Table 3 numerically examine the tendency of the light projection distance to be shortened when the directional projector is tilted forward. Based on these numerical calculations, a forward tilt experiment of a directional projector was actually performed.

FIG. 7 is a dust visualization state diagram when the front edge of the directional projector is brought into contact with the surface to be cleaned and the rear edge is lifted with cardboard and tilted forward in the present invention. As shown in FIG. 7, the front edge 4b of the directional projector 4 is grounded to the surface to be cleaned, and n sheets of paper sheets with a paper thickness Δh are stacked under the rear edge 4c to form the thick paper 18, and the directional projector 4 is A forward tilt is arranged at a forward tilt angle θ. The inclined length C indicates the length from the cardboard 18 to the leading edge 4b. The center 4a of the directional projector 4 is at a position above the surface to be cleaned 2 by a height H (mm), which corresponds to the average optical axis height of the directional projector 4 in the forward tilt state. Therefore, when the thickness of the cardboard is h, the average optical axis height H is given by H = H ₀ + h / 2. H ₀ is the cross-sectional radius of the directional projector 4. In this directional projector 4, since C = 68 mm and Δh = 0.40 mm, the cardboard thickness h is h = n × Δh = 0.40 n (mm). Therefore, since sin (θ) = nΔh / C, the forward tilt angle θ is calculated as θ = sin ⁻¹ (nΔh / C) = sin ⁻¹ (0.40 n / 68). In FIG. 7, the light projecting area of the surface to be cleaned 2 sequentially spreads from the light projecting lens 6 side to a dust visualization insufficient area (A), a dust visualization good area (B), and a dust visualization insufficient area (A). The start end of the dust visualization good region (B) is the left boundary T, and the end end is the right boundary U. In other words, the dust visualization insufficient region (A) exists on the near side of the left boundary T and the far side of the right boundary U. The light projection distance L from the light projection lens 6 to the left boundary T is referred to as the left boundary light projection distance Lt, and the light projection distance L from the light projection lens 6 to the right boundary U is referred to as the right boundary light projection distance Lu. Therefore, the region of L ≦ Lt and L ≧ Lu corresponds to the dust visualization insufficient region (A), and the region of Lt ≦ L ≦ Lu corresponds to the dust visualization good region (B). Insufficient scattered light 15 from the dust visualization insufficient region (A) is displayed by a dotted line, and good scattered light 14 from the dust visualization good region (B) is displayed by a solid line. The optical axes in the horizontal state and the forward tilt state are indicated by reference numeral 20.

  Table 4 shows a table of visualization states when the optical axis of the directional projector of the first example is tilted forward by a forward tilt angle θ (degrees) with respect to the surface 2 to be cleaned. In Table 4, H (mm) is the average optical axis height, θ (degrees) is the forward tilt angle, and n is the number of paper plates constituting the thick paper 18. When the number n is changed from n = 0 to 16, the cardboard thickness h becomes h (mm) = 0 to 6.40, and the average optical axis height H is H (mm) = 8.01 to 11.10. Changes to 20. As a result, the forward tilt angle θ is distributed from θ (degrees) = 0 to 5.40. Under these conditions, the dust particles on the surface to be cleaned are observed for each average optical axis height H, and the projection distance L is set in a range of L (cm) = 0 to 50 to determine how the dust particles are seen. judge. Judgment criteria are four stages: ◎ = visible best, ○ = visible, Δ = slightly visible, x = not visible. Table 4 gives a list of visualization states determined with the naked eye of the observer.

  In Table 4, a region indicated by a thick frame line indicates a mark at the top of each projection distance. Considering a specific average optical axis height H, an area between a circle mark (corresponding to the left boundary T) located in the vicinity of the light projecting lens and a circle mark (corresponding to the right boundary U) located far away is shown. This corresponds to the dust visualization good region (B). Further, the area inside the circle mark (corresponding to the left boundary T) located in the vicinity is the dust visualization insufficient area (A), and the area outside the circle mark (corresponding to the right boundary U) located far away. Is an area (A) where the dust visualization is insufficient.

Table 5 is a list of the limit forward tilt angle θ ₀ (degrees) and the projection distance L (cm) in the directional projector of the first example. Focusing only on the thick frame lines shown in Table 4, the forward tilt angle θ (degrees) and the projection distance L (cm) of the thick frame lines are listed. The forward tilt angle θ (degrees) of the thick frame line is called the limit forward tilt angle θ ₀ (degrees), the projection distance L of the left boundary T is the left boundary projection distance Lt (cm), and the projection distance of the right boundary U is Let L be the right boundary projection distance L (cm). At the left boundary T of the good dust visualization region (B), the limit front tilt angle θ ₀ indicates the minimum angle in the state where the dust particles can be seen (◯), and therefore dust can be seen well in the region of θ ≧ θ ₀ . At the right boundary U of the dust visualization good region (B), the limit front tilt angle θ ₀ indicates the maximum angle of the state where the dust particles can be seen (◯), so that the dust can be seen well in the region of θ ≦ θ ₀ .

  A linear regression is performed by the least square method as shown in Expression (10-1) with respect to the left boundary (T) composed of two points of the projection distance L = 5, 10 (cm). When the straight line was a linear line of θ = c × Lt + d, c = −0.268 and d = 2.68 were obtained as the slope c and the intercept d. Therefore, θ (degrees) = − 0.268 Lt (cm) +2.68 was obtained as the left boundary line (T) as shown in Expression (10). A linear regression is performed by the least square method as shown in Equation (11-1) with respect to the right boundary (U) consisting of six points of the projection distance L = 25, 30, 35, 40, 45, 50 (cm). When the straight line was a linear line of θ = e × Lu + f, e = −0.196 and f = 9.72 were obtained as the slope e and the intercept f. Therefore, θ (degrees) = − 0.196 Lu (cm) +9.72 was obtained as the right boundary line (U) as shown in Expression (11).

  FIG. 8 is a graph showing the dust visualization good region (B) and the dust visualization insufficient region (A) by plotting the boundary values in Table 5 when the directional projector of the first example is used in the present invention. FIG. The linear function (left boundary line T) for the two points on the left boundary T was θ (degrees) = − 0.268 Lt (cm) +2.68. The linear function (right boundary line U) for the five points on the right boundary U was θ (degrees) = − 0.196 Lu (cm) +9.724. The left region of the left boundary line T is a dust visualization insufficient region (A), and the right region of the right boundary line U is also a dust visualization insufficient region (A). A region between the left boundary line T and the right boundary line U is a dust visualization good region (B), and the dust visualization good region (B) is expressed by Lt ≦ L ≦ Lu in the range of the projection distance L. Is done. It can be seen from FIG. 8 that as the forward tilt angle θ increases, the dust visualization good region (B) represented by Lt ≦ L ≦ Lu gradually approaches the light projecting lens. As described above, when the linear function of the left boundary line T and the right boundary line U is numerically determined, the one corresponding to the forward tilt angle θ is also numerically determined. When the directional projector is tilted forward by a forward tilt angle θ and the observer observes dust particles on the surface to be cleaned, the presence or absence of dust particles paying attention to the numerically determined range of Lt ≦ L ≦ Lu If this is confirmed, there is an advantage that the degree of contamination of the surface to be cleaned can be immediately determined. When the observer is unaided, it is only necessary to observe the unaided eye in the above range, so it is possible to determine the presence or absence of dust particles relatively easily. However, since humans have the ability to instantaneously determine the entire surface to be cleaned, even if the range, that is, the range of Lt ≦ L ≦ Lu, is known in advance, the effect is not sufficient. Let's go. However, when the observer is an electronic device, it is impossible to instantaneously determine the entire surface to be cleaned by the electronic device, so that the advantage of scanning the range of Lt ≦ L ≦ Lu is extremely great. large. If this range is unknown, the electronic device must scan the entire region far away from the light projecting lens, so that it takes a long time to check for the presence of dust particles. The present invention has the advantage that confirmation of the presence or absence of dust particles can be completed in a short time regardless of whether the observer is the naked eye or an electronic device.

In FIG. 8, the linear functions of the left boundary line T and the right boundary line U are already given in Table 5. A specific method for deriving the linear function shown in Table 5 by the least square method is described below.
FIG. 9 is a boundary line estimation calculation diagram for estimating the linear function θ = cLt + d that gives the left boundary line T of FIG. 8 by the least square method in the present invention (first example). FIG. 10 is a boundary line estimation calculation diagram for estimating the linear function θ = eLu + f that gives the right boundary line U of FIG. 8 by the least square method in the present invention (first example).
In both figures, X is the projection distance L (cm), and Y is the forward tilt angle θ (degrees). The slope c and the intercept d of the left boundary line T are determined by the equations (1) and (2). At the same time, the slope e and the intercept f of the right boundary line U are also determined by the equations (1) and (2). The values in the tables shown in both figures give various quantities necessary for the calculations of the equations (1) and (2). Equations (1) and (2) are calculated from these quantities. As a result, c = −0.268, d = 2.68, e = −0.196 and f = 9.724 are obtained. Therefore, the left boundary line T is θ = −0.268Lt + 2.68 according to the equation (10), and the right boundary line U is θ = −0.196Lu + 9.724 according to the equation (11). Since both the left boundary line T and the right boundary line U have negative slopes, it can be seen that they are straight lines going up to the left. In other words, as the forward tilt angle θ increases, the left boundary light projection distance Lt and the right boundary light projection distance Lu gradually decrease. That is, as the forward tilt angle increases, the dust visualization good region (B) approaches the light projecting lens side. This approach relation explains the behavior of FIG. 8 described above.

FIG. 11 is a diagram of the present invention when the optical axis of the directional projector of the first example (H ₀ = 8 mm) is horizontally raised by H (mm) from the surface to be cleaned and is tilted forward by a forward tilt angle θ. FIG. 9 is a dust visualization derivation diagram that graphically derives a dust visualization good region (B) by combining FIG. 4 and FIG. 8.
Now, the optical axis height H of the directional projector 4 of the first example is set to H = 10 mm, and then the trailing edge 4c is raised while the front edge 4b of the directional projector 4 is held in that position, thereby the directional projector. 4 is tilted forward at a forward tilt angle θ. In this state, the positions of the left and right boundaries of the dust visualization good region (B) are determined. The schema determination method shown below is only an approximate method.

  8 is superimposed on FIG. 4, the L axis (corresponding to the X axis of θ = 0 degree) in FIG. 8 is horizontally arranged at the position of H = 10 mm in FIG. 4, and the left boundary line T of θ = 0 degree. Is moved on the boundary S in FIG. The region indicated by the thick arrow on the L axis is the dust visualization good region (10-0B) at the optical axis height H = 10 mm and the forward tilt angle θ = 0 degrees. When the forward tilt angle θ is increased from 0, the dust visualization good region gradually moves upward to the left. When it is tilted forward by θ = 1 degree, it moves to the thick arrow area of the dust visualization good area (10-1B) at the optical axis height H = 10 mm and the forward tilt angle θ = 1 degree. Further, when tilted forward by θ = 2 degrees, it moves to the thick arrow area of the dust visualization good area (10-2B) at the optical axis height H = 10 mm and the forward tilt angle θ = 2 degrees. Further, when tilted forward by θ = 3 degrees, the optical axis moves to the thick arrow area of the dust visualization good area (10-3B) at the optical axis height H = 10 mm and the forward tilt angle θ = 3 degrees. When the thick arrow region is observed from the origin of FIG. 4 (LH coordinates) located on the lower side, the light projection distance L of the point on the left boundary T becomes the start end light projection distance Lc, and the point of the right boundary U The light projection distance L is the end end light projection distance Le. That is, as shown in the drawing, the range of the projection distance L in the dust visualization good region (B) is given by Lc ≦ L ≦ Le.

FIG. 12 is an explanatory diagram for giving a good dust visualization region by L ≧ Ls using the boundary projection distance Ls in the first embodiment of the present invention. FIG. 12 illustrates a method for schematically estimating the dust visualization good region (B) when the directional projector 4 is horizontally disposed above the surface to be cleaned 2 with the optical axis height H. In the LH coordinates, the diagonal line is the boundary line S, and the linear function thereof is H = aLs + b. Pulling the horizontal line by a dotted line in the optical axis height H, the intersection of the boundary line S is P _1. Since the L coordinate of the point P1 is Ls, the region of the dust visualization good region (B) is given by Ls ≦ L by the equation (12-1). If the linear function of the boundary line S is known, the dust visualization good region (B) is immediately derived from the inequality of Ls ≦ L.

  FIG. 13 is an explanatory diagram for giving a good dust visualization region by L ≧ Lt or Lt ≦ L ≦ Lu using the left boundary projection distance Lt and the right boundary projection distance Lu in the second or third embodiment of the present invention. It is. In FIG. 13, the front edge of the directional projector 4 is grounded on the surface to be cleaned 2, the rear edge is raised, and the directional projector 4 is tilted forward by the forward tilt angle θ. As described above, a method of schematically estimating the dust visualization good region (B) when the forward tilting angle θ is arranged forward is depicted. In the L-θ coordinate, the linear function of the left boundary T of the dust visualization good region (B) is θ = cLt + d, and the linear function of the right boundary U is given by θ = eLu + f. When a solid line is drawn horizontally from the point θ on the vertical axis, the intersection with the left boundary line T is P2, and the intersection with the right boundary line U is P3. A region sandwiched between the points P2 and P3 is a dust visualization good region (B). Therefore, the area | region of a dust visualization favorable area | region (B) is the range of Lt <= L and L <= Lu. In the present invention, Lt is called the left boundary projection distance, and Lu is called the right boundary projection distance. That is, the region of the good dust visualization region (B) is given by an inequality of Lt ≦ L ≦ Lu. The second form of the present invention is a range of Lt ≦ L represented by the formula (12-2), and the third form of the present invention is a range of Lt ≦ L ≦ Lu represented by the formula (12-3). If the linear function of the left boundary line T and the right boundary line U is known, the region of the good dust visualization region (B) is immediately derived from the inequality of L ≦ Lu or Lt ≦ L ≦ Lu.

FIG. 14 is an explanatory diagram for giving a good dust visualization region by L ≧ Lc or Lc ≦ L ≦ Le using the start end projection distance Lc and the end end projection distance Le in the fourth embodiment or the fifth embodiment of the present invention. It is. FIG. 14 shows the dust visualization good region (B) when the directional projector is horizontally arranged at the optical axis height H and tilted forward at the forward tilt angle θ by superimposing FIG. 13 on FIG. A schematic derivation method will be described. FIG. 12 shows a state in which the directional projector 4 is raised horizontally from the surface to be cleaned 2 by the optical axis height H and arranged horizontally. In this state, when the directional projector 4 is tilted forward at a forward tilt angle θ by fixing the leading edge and raising the trailing edge, the L axis (horizontal axis) in FIG. combined, it moves the lowermost point P ₁ of the left boundary line T to the theta-L coordinates (Figure 13) horizontally right up to a position on the boundary line S. The point corresponding to the forward tilt angle θ draws a horizontal line so as to pass through the point of the forward tilt angle θ of the θ axis, and the region between the points P ₂ to P ₃ is the dust visualization at the optical axis height H and the forward tilt angle θ. It becomes a good area. The distance to the H axis to the point P ₂ is the starting end projection distance Lc, the distance to the H axis to the point P ₃ is an end edge projection distance Le.

Lc and Le are derived below using equations (12-4) to (12-10) in FIG. Since the start region of the dust visualization good region when the directional projector 4 is raised from the surface to be cleaned 2 by H and tilted forward by θ, the start end projection distance is Lc, Lc is expressed by (12-4). ≤L. In addition, since the end-end projection distance is Le, the entire region of the dust visualization good region is expressed by Lc ≦ L ≦ Le according to Expression (12-5). When θ = 0 is substituted for θ = cLt + d on the left boundary line when the forward tilt angle = 0, Lt = −d / c is obtained by Expression (12-6). Since this Lt gives P1P4, P ₁ P ₄ = −d / c according to the equation (12-7). Therefore, since P ₄ P ₅ = Ls−P ₁ P _{4 according} to the equation (12-8), P ₄ P ₅ = Ls + d / c is obtained according to the equation (12-8). When this P ₄ P ₅ = Ls + d / c is used, Lc = Lt + P ₄ P ₅ is obtained from the equation (12-9), so that Lc = Lt + Ls + d / c can be obtained. Similarly, since Le = Lu + P ₄ P _{5 according} to the equation (12-10), Le = Lu + Ls + d / c is obtained.
As described above, when the HL coordinate and the θ-L coordinate are combined, the start end projection distance Lc and the end end projection distance Le at the optical axis height H and the forward tilt angle θ are obtained as described above. The dust visualization good region (L region) can be easily obtained by Lc ≦ L or Lc ≦ L ≦ Le.

Table 6 is a table of the visualization state when the optical axis is horizontally raised by H (mm) when the directional projector of the second example is used. In the first directional projector, the cross-sectional radius H0 = 8 mm, whereas in the second directional projector, the cross-sectional radius H = 15 mm. It will be proved below that the gist of the present invention does not change even when the cross-sectional radius H is increased from 8 mm to 15 mm. Visualization state is best seen (◎), visible (O), somewhat visible (△), invisible at the position of projection distance L = 5, 10 ... 50 (cm) for each optical axis height H ( The visual judgment was made in 4 stages. Since H ₀ = 15 mm, a visualization state from H = 15.00 mm to 21.40 mm is observed. Other conditions are the same as in Table 1. In Table 6, for each value of the optical axis height H (mm), a frame marked with a circle that appears at the position of the smallest value of the projection distance L is formed by a thick line. A boundary line connecting these thick line frames is a boundary line S (also referred to as a boundary) between the dust visualization insufficient region (A) and the dust visualization good region (B). That is, the dust visualization insufficient region (B) is a light projection region on the left side of the Δ mark (× and Δ regions), and the dust visualization good region (A) is a light projection region on the right side of the ○ mark (circles of ○ and ◎). Area).

Table 7 is a list of coordinate groups of the limit optical axis height Hmax (mm) and the projection distance L (cm) with respect to the thick frame in Table 6 for the directional projector of the second example. Since Table 7 is substantially equivalent to Table 2 described above, the contents described in Table 2 are omitted here.
The least square method is applied to these coordinate groups, and the regression equation of the boundary line S at L = 15, 20, 25, 30, 35, and 40 (cm) is derived as a linear function. That is, when regression is performed with a linear function of H = aLs + b as shown in Expression (13-1) in Table 7, a = 0.256 and b = 1.29 are derived. H (mm) = 0.256 Ls (cm) +11.29 is obtained as the boundary line S.

FIG. 15 is a graph showing boundary values in Table 7 plotted when the directional projector (second example) having a cross-sectional radius H ₀ = 15 mm is used in the present invention. It is the horizontal visualization figure which showed the visualization insufficient area | region (A). FIG. 15 is substantially equivalent to FIG. 4 of the first example described above.
The area on the left side of the boundary line S is a dust visualization insufficient area (A), and the area on the right side of the boundary line S is a dust visualization good area (B). The usage of this figure is as follows. When the optical axis of the directional projector is horizontally arranged above the surface to be cleaned H (mm), the projection distance L on the boundary line S corresponding to the H becomes the boundary projection distance Ls. Therefore, the region of L ≦ Ls is the dust visualization insufficient region (A), and the region of L ≧ Ls is the dust visualization good region (B). Since the linear function of the boundary line S corresponding to the directional projector to be used is known in advance, the region where the dust particles are clearly confirmed is the dust visualization good region (B), and the observer is a region where L ≧ Ls It is sufficient to determine whether dust particles exist by paying attention to the above. When the observer is the naked eye, the naked eye has the ability to instantaneously determine the entire surface to be cleaned, so there is little need to pay attention to the region where L ≧ Ls. However, when the observer is an electronic device, the electronic device does not have the ability to instantaneously determine the entire surface to be cleaned, and therefore, by operating the electronic device while paying attention to the region of L ≧ Ls. In addition, it is possible to determine whether dust particles are present in a short time. If there is no information of L ≧ Ls, the electronic device must scan the entire region of L ≧ 0, and it is clear that the time to scan the region of 0 ≦ L ≦ Ls is wasted. Therefore, it can be said that FIG. 15 which gives information of L ≧ Ls is epoch-making in the confirmation scanning of dust particles using an electronic device. The above items shown in FIG. 15 are substantially the same as the items obtained from FIGS. 4 and 12 described above. Therefore, it was proved that the contents of the invention obtained in the first example of the directional projector can also be applied in the second example.

Table 8 is a list of visualization states when the optical axis of the directional projector of the second example is tilted forward by a forward tilt angle θ (degrees) with respect to the surface to be cleaned. In other words, as shown in FIG. 7, the directional projector 4 with H ₀ = 15 mm is tilted forward and the details of the dust visualization insufficient region (A) and the dust visualization good region (B) are tabulated. This corresponds to Table 4 of the first example. With the front edge of the directional projector 4 in contact with the surface to be cleaned, the rear edge is raised with cardboard to tilt the directional projector 4 forward.

  The height from the surface to be cleaned to the center of the directional projector 4 is the optical axis height H, which is measured in 9 steps from H = 15.00 mm to 19.80 mm, and the forward tilt angle θ is θ = 0.00 degrees. Distributed up to ~ 4.04 degrees. At each forward tilt angle θ, the visibility of 12 dust particles with a projection distance L = 5 cm to 70 cm was determined with the naked eye. The judgment criteria are four stages: best visible (◎), visible (（), slightly visible (Δ), and invisible (x). When the projection distance L is varied at each forward tilt angle θ, the region consisting of x and Δ is the dust visualization insufficient region (A), and the region consisting of ◯ and ◎ is the dust visualization good region (B). A frame indicating the left boundary T and the right boundary U of the dust visualization good region (B) is drawn as a thick line frame. Therefore, it can be seen from the side close to the light projecting lens that the development is as follows: Dust visualization insufficient region (A) → Dust visualization good region (B) → Dust visualization insufficient region (A).

Table 9 shows the relationship between the limit forward tilt angle θ ₀ (degrees) and the projection distance L selected from Table 8, and shows the coordinate group of L and θ ₀ corresponding to the bold frame in Table 8. Yes. The forward tilt angle θ (degrees) of the thick frame line is called the limit forward tilt angle θ ₀ (degrees), the light projection distance L of the left boundary T is the left boundary light projection distance Lt (cm), and the light projection distance L of the right boundary U is Is the right boundary projection distance L (cm). At the left boundary T of the good dust visualization region (B), the limit front tilt angle θ ₀ indicates the minimum angle in the state where the dust particles can be seen (◯), and therefore dust can be seen well in the region of θ ≧ θ ₀ . At the right boundary U of the dust visualization good region (B), the limit front tilt angle θ ₀ indicates the maximum angle of the state where the dust particles can be seen (◯), so that the dust can be seen well in the region of θ ≦ θ ₀ .

A linear regression is performed by the least square method as shown in the equation (14-1) with respect to the left boundary (T) including the three projection distances L = 10, 15, 20 (cm). When the straight line is a linear line of θ = c × Lt + d, c = −0.101 and d = 1.965 are obtained as the slope c and the intercept d. Therefore, θ (degrees) = − 0.101 Lt (cm) +1.965 was obtained as the left boundary line (T) as shown in Expression (14).
A linear regression is performed by the least square method as shown in Equation (15-1) with respect to the right boundary (U) consisting of seven points of the projection distance L = 30, 35, 40, 45, 50, 60, 70 (cm). When the straight line was a linear line of θ = e × Lu + f, e = −0.097 and f = 6.364 were obtained as the slope e and the intercept f. Therefore, θ (degrees) = − 0.097Lu (cm) +6.364 was obtained as the right boundary line (U) as shown in Expression (15).

FIG. 16 is a graph showing the dust visualization good region (B) and the dust visualization insufficient region (A) by plotting the boundary values in Table 9 when the directional projector of the second example is used in the present invention. FIG. This FIG. 16 is shown below to be substantially equivalent to FIG. 8 relating to the directional projector of the first example, and it is proved that the gist of the present invention is also valid for the second example. The linear function (left boundary line T) for the three points on the left boundary T was θ (degrees) = − 0.101 Lt (cm) +1.965. The linear function (right boundary line U) for 7 points on the right boundary U was θ (degrees) = − 0.097 Lu (cm) +6.364. The left region of the left boundary line T is a dust visualization insufficient region (A), and the right region of the right boundary line U is also a dust visualization insufficient region (A). A region between the left boundary line T and the right boundary line U is a dust visualization good region (B), and the dust visualization good region (B) is expressed by Lt ≦ L ≦ Lu in the range of the projection distance L. Is done. It can be understood from FIG. 16 that when the forward tilt angle θ increases, the dust visualization good region (B) represented by Lt ≦ L ≦ Lu gradually approaches the light projecting lens.
Thus, if the linear function of the left boundary line T and the right boundary line U is determined numerically, the following advantages are obtained. When the directional projector is tilted forward by a forward tilt angle θ and the observer observes dust particles on the surface to be cleaned, the presence or absence of dust particles paying attention to the numerically determined range of Lt ≦ L ≦ Lu If it is confirmed, it is possible to immediately determine the degree of contamination of the surface to be cleaned. When the observer is unaided, it is only necessary to observe the unaided eye in the above range, so it is possible to determine the presence or absence of dust particles relatively easily. However, since humans have the ability to instantaneously determine the entire surface to be cleaned, even if the range, that is, the range of Lt ≦ L ≦ Lu, is known in advance, the effect is not sufficient. Let's go. However, when the observer is an electronic device, it is impossible to instantaneously determine the entire surface to be cleaned by the electronic device, so that the advantage of scanning the range of Lt ≦ L ≦ Lu is extremely great. large. If this range is unknown, the electronic device must scan the entire region far away from the light projecting lens, so that it takes a long time to check for the presence of dust particles. The present invention has the advantage that confirmation of the presence or absence of dust particles can be completed in a short time regardless of whether the observer is the naked eye or an electronic device.

FIG. 17 is a diagram showing a state in which the optical axis of the directional projector of the second example (H ₀ = 15 mm) is horizontally raised by H (mm) from the surface to be cleaned and is tilted forward by a forward tilt angle θ in the present invention. FIG. 17 is a dust visualization derivation diagram that graphically derives a dust visualization good region (B) by combining 15 and FIG. 16. FIG. 17 is an overlap diagram in the case where the directional projector of the first example is used, that is, substantially equivalent to FIG. 11, and it has been demonstrated that this overlay derivation method is valid for the entire directional projector. ing. Details of FIG. 17 will be described below.

Now, the optical axis height H of the directional projector 4 of the second example is set to H = 20 mm, and then the trailing edge 4c is lifted while the front edge 4b of the directional projector 4 is held in that position, so that the directional projector 4 is tilted forward at a forward tilt angle θ. In this state, the positions of the left and right boundaries of the dust visualization good region (B) are determined. The schema determination method shown below is only an approximate method.
FIG. 16 is superimposed on FIG. 15, the L axis (corresponding to the X axis of θ = 0 degree) in FIG. 16 is horizontally arranged at the position of H = 20 mm in FIG. 15, and the left boundary line T of θ = 0 degree. Is moved on the boundary line S in FIG. The region indicated by the thick arrow on the L axis is the dust visualization good region (20-0B) at the optical axis height H = 20 mm and the forward tilt angle θ = 0 degree. When the forward tilt angle θ is increased from 0, the dust visualization good region gradually moves upward to the left. When it is tilted forward by θ = 1 degree, it moves to the thick arrow area of the dust visualization good area (20-1B) at the optical axis height H = 20 mm and the forward tilt angle θ = 1 degree. Further, when tilted forward by θ = 2 degrees, it moves to the thick arrow area of the dust visualization good area (20-2B) at the optical axis height H = 20 mm and the forward tilt angle θ = 2 degrees. Although not shown in the drawing, it goes without saying that when the forward tilt angle θ is further increased, the dust visualization good region further rises to the upper left. When the thick arrow region is observed from the origin in FIG. 15 (LH coordinates) located on the lower side, the light projection distance L of the point on the left boundary T becomes the start end light projection distance Lc, and the point on the right boundary U The light projection distance L is the end end light projection distance Le. That is, as shown in the drawing, the range of the projection distance L in the dust visualization good region (B) is given by Lc ≦ L ≦ Le.

Even if the directional projector 4 is changed from the first example to the second example, the left boundary line T and the right boundary line U of the dust visualization good region (B) are approximately derived by a linear function, and the dust visualization good region It was proved that the gist of the present invention of theoretically and numerically deriving the left boundary and the right boundary in (B) was established unchanged. Therefore, it has been found that the above gist of the present invention can be applied to many directional projectors.
Details of the subject matter of the present invention are set forth in FIGS. 12, 13 and 14, and these graphical derivations are specified in the claims of the present invention.

As described above in detail, in the present invention, the observation operation of the dust particles on the surface to be cleaned is separated from the cleaning operation. First, a specific surface to be cleaned (referred to as a specific surface to be cleaned) is selected in order to derive the conditions on a trial basis, and the conditions under which dust particles can be clearly observed on this specific surface to be cleaned are experimentally and theoretically derived. To do. Next, the above condition is applied to the surface to be cleaned which is actually cleaned, and light is irradiated onto the surface to be cleaned by a directional projector to observe how much dust particles are present. Furthermore, if dust particles are present in a predetermined amount or more, the surface to be cleaned may be cleaned using a cleaning means such as a mop or an electric vacuum cleaner. If the amount of dust particles is less than a predetermined amount, it can be determined that there is no need to perform a cleaning operation.
Therefore, the industrial fields in which the present invention can be used include households, companies, hotels, etc., cleaning industries, manufacturing industries such as mops and electric vacuum cleaners, cleaning tool sales / rentals, sanitary equipment, and other related industries. is there.

2 Surface to be cleaned 4 Directional projector 4a Center of directional projector 4b Front edge 4c Rear edge 6 Projection lens 8 Light cone 10 Light cone cross section 12 Dust particle 14 Good scattered light 15 Insufficient scattered light 16 Observer 18 Cardboard 20 Light Axis A Dust visualization insufficient area B Dust visualization good area C Inclination length H Optical axis height H ₀ Cross-sectional radius of directional projector Hmax Limit optical axis height L Projection distance Ls Boundary projection distance Lt Left boundary projection distance Lu Right boundary floodlight distance Lc Start edge floodlight distance Le End edge floodlight distance Ln Floodlight distance L ₀ Half axis length S Boundary T Left boundary U Right boundary a Boundary S slope b Boundary S intercept c Left boundary Inclination of T d Intersection of left boundary T e Inclination of right boundary U f Intersection of right boundary U h Thick paper thickness Δh Thickness of paper board n Number of paper boards x Forward tilt projection distance α Projection angle θ Forward tilt angle H = ALs + b Linear function of boundary line S = cLt + d Linear function of left boundary line T = eLu + f Linear function of right boundary line U

Claims (8)

The surface to be cleaned is projected by a directional projector that emits a directional light beam from a light projecting lens, and dust particles are observed by scattered light from dust particles on the surface to be cleaned to determine the degree of contamination on the surface to be cleaned. In this method, the height of the optical axis from the specific surface to be cleaned to the optical axis of the directional projector is H when the surface to be cleaned is a specific surface to be cleaned for function derivation. The directional projector is arranged in parallel with the specific surface to be cleaned, and an area where dust particles are not clearly observed in the vicinity of the projection lens is defined as an insufficiently visible area of the dust, and a boundary S is provided far away from the insufficiently visible area of the dust. When the region where the dust particles connected through the lens are clearly observed is a dust visualization good region, the distance from the light projecting lens to the boundary S is the boundary light projection distance Ls, and the optical axis height H is increased. The boundary projection distance Ls is also A large relationship is approximately derived by a linear function of H = aLs + b (a, b: constant, a> 0), and then the surface to be cleaned is determined to determine the degree of contamination by dust particles. On the other hand, the directional projector is disposed horizontally on the surface to be cleaned so that the optical axis height is H, and the boundary light projection distance Ls corresponding to the optical axis height H is set to the linear function H = aLs + b. Where the projection distance from the projection lens on the surface to be cleaned is L, and the projected projection distance L satisfies the relation L ≧ Ls with respect to the derived border projection distance Ls. A method for determining the degree of contamination of a surface to be cleaned, wherein the region is estimated to be a good region for visualizing dust, and dust particles are observed in the estimated region for good visualization of dust to determine the degree of contamination of the surface to be cleaned. The surface to be cleaned is projected by a directional projector that emits a directional light beam from a light projecting lens, and dust particles are observed by scattered light from dust particles on the surface to be cleaned to determine the degree of contamination on the surface to be cleaned. When the cleaning surface is a specific cleaning surface for derivation of a function, the degree of contamination is determined, and the front edge of the directional projector is in contact with the specific cleaning surface when the cleaning surface is a specific cleaning surface. When the trailing edge is raised from the specific surface to be cleaned and the optical axis of the directional projector is tilted forward with respect to the specific surface to be cleaned at a forward tilt angle θ, dust particles are clearly observed in the vicinity of the light projecting lens. A region where the dust particles are insufficiently visualized, and a region where the dust particles connected to the far side of the insufficiently visible dust region via the left boundary T are clearly observed is defined as a good dust visualization region. Left distance to left boundary T Assuming that the boundary projection distance Lt is increased and the forward tilt angle θ is increased, the left boundary projection distance Lt is reduced approximately by a linear function of θ = cLt + d (c, d: constant, c <0). Next, the trailing edge of the directional projector with the leading edge of the directional projector in contact with the surface to be cleaned with respect to the surface to be cleaned to determine the degree of contamination due to dust particles. Is lifted from the surface to be cleaned, the optical axis of the directional projector is tilted forward with respect to the surface to be cleaned at a forward tilt angle θ, and the left boundary light projection distance Lt corresponding to the forward tilt angle θ is the linear function. Derived from θ = cLt + d, and assuming that the projection distance from the projection lens on the surface to be cleaned is L, the projection that satisfies the relationship of L ≧ Lt with respect to the derived left boundary projection distance Lt The area of distance L is estimated as the dust visualization good area, and this estimated dust visualization good Observe the dust particles in the area, cleanliness determination method of the surface to be cleaned, characterized in that to determine the contamination degree of the surface to be cleaned. On the specific surface to be cleaned, a region where the dust visualization is insufficient appears continuously at the far right boundary U of the dust visualization good region, and the distance from the light projecting lens to the right boundary U is the right boundary projection distance Lu. And a relationship in which the right boundary projection distance Lu decreases as the forward tilt angle θ is increased is approximately derived by a linear function of θ = eLu + f (e, f: constant, e <0), Next, the rear edge of the directional projector is placed on the surface to be cleaned in a state where the front edge of the directional projector is in contact with the surface to be cleaned with respect to the surface to be cleaned to determine the degree of contamination by dust particles. And the optical axis of the directional projector is tilted forward with respect to the surface to be cleaned at a forward tilt angle θ, and the right boundary projection distance Lu corresponding to the forward tilt angle θ is derived from the linear function θ = eLu + f. And L is a projection distance from the projection lens on the surface to be cleaned. Then, with respect to the left boundary light projection distance Lt and the right boundary light projection distance Lu thus derived, the region of the light projection distance L that satisfies the relationship of Lt ≦ L ≦ Lu is estimated as the dust visualization good region, The method for determining a degree of contamination of a surface to be cleaned according to claim 2, wherein the degree of contamination of the surface to be cleaned is determined by observing dust particles within the estimated dust visualization good region. The surface to be cleaned is projected by a directional projector that emits a directional light beam from a light projecting lens, and dust particles are observed by scattered light from dust particles on the surface to be cleaned to determine the degree of contamination on the surface to be cleaned. In this method, the height of the optical axis from the specific surface to be cleaned to the optical axis of the directional projector is H when the surface to be cleaned is a specific surface to be cleaned for function derivation. The directional projector is arranged in parallel with the specific surface to be cleaned, and first, an area where dust particles are not clearly observed in the vicinity of the projection lens is defined as an insufficiently visible area of the dust, and is located far from the insufficiently visible area of the dust. When a region where dust particles connected through the boundary S are clearly observed is a dust visualization good region, a distance from the light projecting lens to the boundary S is a boundary light projection distance Ls, and the optical axis height H is Increasing the boundary projection distance The relationship in which s also increases is approximately derived by a linear function of H = aLs + b (a, b: constant, a> 0), and the front edge of the directional projector is defined as the specific surface to be cleaned. When the rear edge of the directional projector is raised from the specific surface to be cleaned while being in contact with the optical axis of the directional projector, the optical axis of the directional projector is tilted forward with respect to the specific surface to be cleaned at a forward tilt angle θ. An area where the dust particles are not clearly observed in the vicinity of the light projecting lens is defined as an area where the dust is insufficiently visualized, and an area where the dust particles connected to the far side of the area where the dust is insufficiently visualized via the left boundary T is clearly observed is the dust. In the case of a good visualization region, the distance from the light projecting lens to the left boundary T is the left boundary light projection distance Lt, and when the forward tilt angle θ is increased, the left boundary light projection distance Lt is approximately θ. = 1 of cLt + d (c, d: constant, c <0) Derived by a next function, and then the directional projector is moved above the surface to be cleaned by a distance of the optical axis height H with respect to the surface to be cleaned to determine the degree of contamination by dust particles. The optical axis of the directional projector is arranged so as to be parallel to the surface, and the rear edge of the directional projector is moved up without moving the front edge of the directional projector from the parallel line. When tilted forward at a forward tilt angle θ with respect to a parallel line, the start end of the dust visualization good region that is continuous with the dust visualization insufficient region that occurs in the vicinity of the projection lens is the start from the projection lens to the start end Lc = Lt + Ls + d / c, where Lc is an end projection distance, and L is a projection distance L satisfying a relationship of L ≧ Lc, where L is a projection distance from the projection lens on the surface to be cleaned. Area is estimated as a good dust visualization area , By observing the dust particles in the estimated dust visualized well region, the cleanliness determination method of the surface to be cleaned, characterized in that to determine the contamination degree of the surface to be cleaned. Further, the rear edge of the directional projector is raised from the specific cleaned surface in a state where the front edge of the directional projector is in contact with the specific cleaned surface, and the optical axis of the directional projector is adjusted to the specified target surface. When tilted forward with a forward tilt angle θ with respect to the cleaning surface, a dust visualization insufficient region appears at a distance from the right boundary U of the dust visualization good region on the specific surface to be cleaned. The distance to the right boundary U is the right boundary projection distance Lu, and when the forward tilt angle θ is increased, the relation that the right boundary projection distance Lu decreases is approximately θ = eLu + f (e, f: constant, e <0) is derived by a linear function, and then the distance from the surface to be cleaned to the optical axis height H is determined from the surface to be cleaned with respect to the surface to be cleaned to determine the degree of contamination by dust particles. Only above and to be parallel to the surface to be cleaned, When the rear edge of the directional projector is moved upward without moving the front edge of the directional projector from the parallel line, and the optical axis of the directional projector is tilted forward with respect to the parallel line at a forward tilt angle θ. The end of the dust visualization good region that is continuous with the dust visualization inadequate region generated in the vicinity of the projection lens is Le = Lu + Ls + d / where Le is the end projection distance from the projection lens to the end. Lc ≦ L ≦ with respect to the derived start end projection distance Lc and end end projection distance Le, where L is the projection distance from the projection lens on the surface to be cleaned. The region of the projection distance L that satisfies the relationship of Le is estimated to be a dust visualization good region, and dust particles are observed in the estimated dust visualization good region to determine the degree of contamination of the surface to be cleaned. 4. Dirty surface to be cleaned If determination method. 2. The observation of the dust particles on the surface to be cleaned is facilitated by variably adjusting the illuminance of the surface to be cleaned that is irradiated with light by the directional projector by adjusting the intensity of the directional projector. 6. The method for determining the degree of contamination of the surface to be cleaned according to any one of. 6. The method for determining the degree of contamination of a surface to be cleaned according to claim 1, wherein the directional projector is a directional projector having forward directivity using an LED, a laser light source or a lamp as a light source. Using the method for determining the degree of contamination of a surface to be cleaned according to any one of claims 1 to 7, the dust particles are observed in a region where dust is well visualized on the surface to be cleaned, and the observation result is determined to determine the surface to be cleaned. A method for cleaning a surface to be cleaned, characterized in that the surface is cleaned.