JP7190232B2 - Water quality measuring device - Google Patents

Description

The present application relates to a water quality measuring device.

Conventionally, in an optical water quality measuring device that measures the water quality of the water to be measured by irradiating light on the water to be measured in the flow pipe and receiving at least one of transmitted light and scattered light with a detector, A device including an irradiation window, a light receiving window, and an optical system including a light source lamp and a detector provided outside the flow tube is disclosed (see, for example, Patent Document 1).

JP-A-59-34135

However, the technique disclosed in Patent Document 1 irradiates light to the measurement water, receives transmitted light and scattered light, and calculates the sludge concentration of the measurement water from the amount of light. Since the sludge of the water to be measured adheres over time, there is a problem that the amount of incident light decreases and measurement errors occur. In addition, since it is not possible to determine whether the light intensity fluctuation due to the decrease in the incident light intensity is due to dirt or the sludge concentration of the measurement water, it is necessary to perform maintenance on the irradiation window earlier than the actual dirt adhesion. , there is a problem that the maintenance cost is high. Furthermore, in order to determine the maintenance period, it is necessary to repeat trial work such as checking the degree of dirt on the irradiation window. In addition, there is a problem that dirt may adhere earlier than expected, resulting in anomalous measured values.

The present application discloses a technique for solving the above-mentioned problems, and the sludge concentration of the measurement water can be measured stably and accurately, and the maintenance of the irradiation window can be performed appropriately. An object of the present invention is to provide a water quality measuring device that reduces the burden of

The water quality measuring device disclosed in the present application is
an irradiation window provided in a flow path for the measurement water, a light emitting section for emitting irradiation light to the measurement water, and a light receiving section configured in a matrix by a plurality of light receiving elements for receiving the incident light from the measurement water. , a water quality measuring device provided with a data processing device for receiving data of incident light from the light receiving unit, and a display unit,
A calculation unit provided in the data processing device calculates an average value of outputs of the plurality of light receiving elements having an output value equal to or higher than a predetermined threshold with respect to a maximum output value among the plurality of light receiving elements. Then, the sludge concentration of the measured water is calculated with the total amount of light received based on the average value, and the output value having an output value equal to or less than a predetermined threshold with respect to the maximum output value among the plurality of light receiving elements. The coordinates of the light-receiving elements arranged in a matrix are specified, and the incident light data from the light-receiving section, the sludge concentration and the specified coordinates are output to the display section.

Since the water quality measuring device disclosed in the present application employs the configuration as described above, it is possible to measure the sludge concentration of the measured water with high accuracy, and also to reduce the labor and cost required for maintenance of the irradiation window. There is

1 is a diagram showing a water quality measuring device according to Embodiment 1; FIG. FIG. 4 is a diagram showing an irradiation window to which dirt is not attached according to Embodiment 1; FIG. 4 is a diagram showing the irradiation window to which dirt adheres according to the first embodiment; 4 is a diagram showing the amount of received light according to Embodiment 1; FIG. FIG. 4 is a diagram showing the amount of light received by a light receiving element after selection according to Embodiment 1; 4 is a diagram showing a calibration curve according to Embodiment 1; FIG. FIG. 10 is a diagram showing contamination of the irradiation window at t=0 according to Embodiment 2; FIG. 10 is a diagram showing contamination of the irradiation window at t=to+1 according to Embodiment 2; FIG. 10 is a diagram showing contamination of the irradiation window at t=to+2 according to Embodiment 2; FIG. 12 is a diagram showing contamination of the irradiation window at t=to+3 according to Embodiment 2; FIG. 10 is a diagram showing a water quality measuring device according to Embodiment 3;

Embodiment 1.
Embodiment 1 will be described based on the drawings. FIG. 1 shows a water quality measuring device 100 for measuring sludge concentration of water quality in water quality control facilities such as water supply and sewage treatment facilities, factory wastewater treatment facilities, lakes and rivers. This water quality measuring device 100 is, for example, treated water in a sewage treatment facility, and is installed in a flow path 10 of measurement water 11 to be measured. The water quality measuring device 100 is composed of an irradiation window 1, a light emitting section 2, a light receiving section 3, a data processing device 4, and a display section 9 provided in a flow passage 10. The data processing device 4 includes a computing section 41, A storage unit 42 and a detection unit 43 are provided. The display section 9 is provided in a terminal device owned by an engineer who manages the sewage treatment facility, and the output of the data processing device 4 is displayed on the display section 9 . However, the present invention is not limited to this, and the display unit 9 may be provided near the water quality measuring device 100 .

Irradiation light 7 output from the light emitting unit 2 passes through the measurement water 11 and is received by the light receiving unit 3 as incident light 8 . In this case, of the scattered light scattered by the sludge particles 5 in the measurement water 11 , part of the backscattered light that scatters backward passes through the irradiation window 1 and enters the light receiving section 3 . The light-receiving unit 3 that receives this incident light transmits it to the data processing unit 4, and the calculation unit 41 provided in the data processing unit 4 calculates and converts the amount of received light and the sludge concentration.
FIG. 1 also shows a state in which sludge particles 5 in the measurement water 11 and dirt 6 caused by the sludge particles 5 adhere to the irradiation window 1 near the light receiving unit 3 .

Next, as shown in FIG. 2, the light receiving section 3 has five vertical (Y-axis, Y1, Y2, Y3, Y4, Y5) and five horizontal (X-axis, X1, X2, X3, X4, X5). A light receiving element group 30A is formed by a matrix of a total of 25 light receiving elements 3A. 2 shows the plane of the irradiation window 1 viewed from the direction of arrow A in FIG. The upper and lower surfaces do not display a matrix network.

The irradiation window 1 shown in FIG. 2 shows a state in which no dirt 6 adheres to the irradiation window 1. As shown in FIG. I will explain the case where
3 and 4, the five (X1, Y1 to Y5) and most of the three (X5, Y1 to Y3) of the light receiving element 3A of the light receiving section 3, and the four (X2, Y1 to Y4) Dirt 6 adheres to the irradiation window 1 in the vicinity of one of (X4, Y1) and one of (X5, Y4). The calculation unit 41, which receives the incident light data from the light receiving element 3A affected by the dirt 6 output from the light receiving unit 3, calculates that 34% of the light receiving unit 3 is covered and the effective light receiving area is 66%. .

Next, arithmetic processing by the arithmetic unit 41 of the data processing device 4 will be described. The calculation unit 41 determines that the irradiation window 1 near the plurality of light receiving elements 3A having an output within a predetermined threshold with respect to the maximum output value among the light receiving elements 3A constituting the light receiving element group 30A is affected by the dirt 6. Those that have not been received are selected, and these are adopted as sample data, the average value of the sample data outputs is obtained, and the total amount of received light is calculated based on this average value. The data of the light-receiving element 3A outputting is excluded. A specific example of the arithmetic processing is shown below.

L _XY is the amount of light received by a certain light receiving element 3A at the position (X, Y), Lmax is the amount of light received by the light receiving element 3A showing the maximum value among the light receiving elements 3A constituting the light receiving element group 30A, and a predetermined threshold value A plurality of light-receiving elements 3A satisfying L _XY ≧K×Lmax, where K is a coefficient, are employed. In this Embodiment 1, the threshold coefficient K is set to 0.95, but it is not necessarily fixed to this value, and can be changed according to the actual situation of the measured water of the facility in which this water quality measuring device 100 is operated. It is a thing.

In the examples shown in FIGS. 3 and 4, one (X2, Y5), five (X3, Y1 to Y5), three (X4, Y3 to Y5), and one (X5, Y5) Calculation is performed on the assumption that the output values of the ten light receiving elements 3A are within 95% of the maximum value, that is, they are not affected by the dirt 6. FIG. FIG. 5 shows the distribution of the light-receiving elements 3A after selection, which serves as the basis for this arithmetic processing. FIG. 4 is a distribution diagram of the actual amount of light received, and this FIG. FIG. 5 shows the amount of light received by the light receiving element 3A within 95%. At this time, the coordinates of other light-receiving elements 3A which are not within 95% of the maximum value and which are affected by the dirt 6 are stored in the storage unit 42 .

Further, the calculation unit 41 calculates the average value of the output values of the ten light receiving elements 3A, which is 10 (a.u.) as is clear from FIG. x the number of elements), the sludge concentration of the measured water 11 is calculated based on the calibration curve shown in FIG. Further, the coordinates of the light receiving element 3A affected by the dirt 6 are displayed on the display section 9. FIG. The display unit 9 generates an alarm signal when the sludge concentration exceeds the control standard value. Incidentally, the progress and results processed by the arithmetic unit 41 are stored in the storage unit 42 of the data processing device 4 .

In the case of the comparative example in which the light-receiving portion is formed of a single light-receiving element that does not form a matrix, the light-receiving amount is 10 (a.u.) when no dirt adheres to the first embodiment. Then, it becomes about 6 (a.u.), and as a result, as will be described later with reference to FIG.

As shown in the calibration curve in FIG. 6, in Embodiment 1, it is possible to measure the sludge concentration with improved reliability excluding the influence of dirt, but in the comparative example, the sludge concentration is high because it includes errors due to dirt adhesion. will be calculated.

In the first embodiment, an example of the light receiving element group 30A is shown in which the light receiving section 3 is composed of a matrix of 25 light receiving elements 3A, 5 vertically (Y axis) and 5 horizontally (X axis). , but not limited to this. For example, a matrix of 50 vertical (Y-axis) and 50 horizontal (X-axis) may be used, or the number may be increased.

Further, although the shape of the irradiation window 1 is rectangular, it may be rectangular with the long axis in the flow direction of the measurement water 11 . In addition, the detection unit 43 provided in the data processing device 4 detects a predetermined number of the light receiving elements 3A, which may be contaminated due to a decrease in the amount of light received by the calculation of the calculation unit 41, according to the management standard, for example, the total number. By outputting an alarm signal to the display unit 9 when 15 out of 25 are reached, maintenance of the irradiation window 1 can be carried out at an appropriate timing, and unnecessary contamination confirmation work can be eliminated. There are effects such as reducing the number of implementations and eliminating the need to stop the operation of water quality measurement for the implementation of the confirmation work, enabling cost reduction and highly reliable operation of the equipment.

Embodiment 2.
Embodiment 2 makes it possible to detect changes in dirt 6 in time series. The light-receiving unit 3 is the light-receiving element group 30A composed of a matrix of 25 light-receiving elements 3A shown in the first embodiment described above, and measures the change in contamination in time series from t=0 to t=to+3. be. In FIG. 7, it is assumed that dirt 6A is attached to the irradiation window 1 near the three light receiving elements 3A of the light receiving unit 3 at t=to at the start of measurement, and the coordinates of the light receiving elements 3A are (X1, Y2), (X1, Y5), (X5, Y5).

That is, in FIG. 7, dirt 6A adheres to the irradiation window 1 at the above coordinates, and the irradiation windows 1 in the vicinity of these three light receiving elements 3A are hatched. This dirt 6A is in a state of adhering and sticking to the irradiation window 1, and this dirt 6B shown in FIGS. In chronological order, FIG. 8 shows dirt 6A and 6B on the irradiation window 1 at t=to+1, 30 seconds to 1 minute after t=to in FIG. 7, and FIG. At t=to+2, FIG. 10 shows contamination 6A, 6B of the illumination window 1 under the time frame conditions over the time t=to+3, 30 seconds to 1 minute after the lapse of FIG.

In the state of t=to+1 in FIG. 8, transmission to the irradiation window 1 is blocked by the sludge particles 5 in the measurement water 11, and there are two light-receiving elements 3A whose light-receiving amount is reduced. Y4), the irradiation window 1 of (X3, Y1) is in a state as if dirt 6B is attached. In the state of t=to+2 in FIG. 9, if there is no change in the sludge concentration in the measurement water 11, the sludge particles 5 move and the irradiation window 1 at coordinates (X3, Y4) and (X4, Y2) becomes dirty. It will be in a state where 6B is attached. Next, in the state of t=to+3 in FIG. 10, the sludge particles 5 similarly move, and the dirt 6B adheres to the coordinates (X4, Y4) and (X5, Y3).

As described above, the dirt 6A at the coordinates (X1, Y2), (X1, Y5), and (X5, Y5) shown in FIGS. The amount does not change with time. On the other hand, the coordinates (X2, Y4), (X3, Y1), (X3, Y4), (X4, Y2), (X4, Y4), (X5, Y3) due to dirt 6B shown in FIGS. The amount of light received by each light receiving element 3A includes a time change.

Therefore, the calculation unit 41 performs comparison at each time interval to specify the light receiving element 3A whose light receiving amount does not decrease and does not fluctuate and exclude it from the sample data. Similar to what is shown, conversion to sludge concentration enables highly reliable measurement of sludge concentration.

Furthermore, in the second embodiment, the calculation unit 41 identifies the light receiving element 3A whose light receiving amount does not change and decreases from comparison between time frames over several minutes from t=to to t=to+3, and displays the light receiving element 3A. 9, and the detection unit 43 outputs an alarm signal to the display unit 9 when the number of the specified light receiving elements 3A reaches 15 out of a predetermined number of control criteria, for example, 25. , the technician can easily perform maintenance of the irradiation windows 1 of the specified number and locations. Furthermore, from the comparison at each time interval, it becomes easy to determine whether the decrease in the sludge concentration is due to the adhered dirt 6 or due to the sludge particles 5 in the measurement water 11, and the timing of the maintenance of the irradiation window 1. can be determined more appropriately, and high-precision and economical operation can be realized.

Although the time interval is set to 30 seconds to 1 minute, it may be appropriately changed to, for example, 3 to 5 minute intervals, depending on the water quality of the water to be measured in the facility in which the water quality measuring device 100 is operated.

Embodiment 3.
Next, as Embodiment 3, a water quality measuring device 100 using the artificial intelligence unit 44 will be described with reference to the drawings. As shown in FIG. 11, the data processing device 4A of the third embodiment is obtained by adding an artificial intelligence section 44 to the data processing device 4 shown in the first embodiment. FIG. 11 shows a case where an additional pump is added to pump station C in addition to a plurality of existing pump stations, for example, pump station A and pump station B, which are operated within the sewerage treatment facility. A water quality measuring device 100 according to Embodiment 1 is operated at the pumping station A and the pumping station B. FIG.

Next, the artificial intelligence unit 44 of the data processing device 4 of the water quality measuring device 100 installed at the pump station C uses various data of the same type stored in advance in the storage unit 42 of the data processor 4 of the pump station A and the pump station B. , the data shown at ground A and ground B in FIG. 11 are obtained. In addition, although the details of the airport A shown in FIG. 11 will be described below, the same applies to the airport B.

Similar to FIG. 3 shown in the first embodiment, CA1, CA2, and CA3 with different measurement times for dirt 20J and no dirt 20H, CA1 to CA3 for the amount of received light 21R in FIG. 4, and CA1 for the amount of received light 21N after selection. ˜CA3, and CA1-CA3 for sludge concentration 22G. Similarly, each of CB1, CB2, and CB3 of aircraft B is also acquired.

The artificial intelligence unit 44 sets each CA of the dirt 20J, the dirt 20H, the light reception amount 21R, the light reception amount after selection 21N, and the sludge concentration 22G shown in FIG. training on a set of data. This learning is performed after excluding the light receiving elements 3A that have not reached the threshold value from the light receiving elements 3A arranged in a matrix simulating the processing performed by the calculation unit 41 described in the first embodiment based on the figure pattern of 20J with dirt, for example. It performs the operation of The results of learning are stored in the artificial intelligence section 44 .

Next, the operation of the water quality measuring device 100 at the pump station C will be described. When the output of the light receiving unit 3 affected by the dirt 6 adhering to the irradiation window 1 shown in FIG. When it is determined that the incident light data from the unit 3 is the same as the set CA1, the resulting sludge concentration and specified coordinates are created and output to the display unit 9 . In addition to the two airports A and B, the above judgment can be made with higher accuracy by using the data of the other airports as data to be learned.

As described above, according to the water quality measuring device 100 of the third embodiment, in addition to the effects of the first embodiment, there is an effect of reducing the load on the arithmetic section 41 of the data processing device 4 .

Embodiment 4.
In each of the above-described embodiments, light irradiation is used for water quality measurement, and an example in which the light receiving unit 3 is provided is shown. Even if a sound measuring element is used as a sound measuring element, it can be performed in the same manner as in each of the above-described embodiments, and the same effect can be obtained.

While this application describes various exemplary embodiments and examples, various features, aspects, and functions described in one or more embodiments may not apply to particular embodiments. can be applied to the embodiments singly or in various combinations.
Therefore, countless modifications not illustrated are envisioned within the scope of the technology disclosed in the present application. For example, modification, addition or omission of at least one component, extraction of at least one component, and combination with components of other embodiments shall be included.

1 irradiation window, 2 light emitting unit, 3 light receiving unit, 3A light receiving element, 4, 4A data processing device,
5 sludge particles, 6, 6A, 6B dirt, 7 irradiation light, 8 incident light, 9 display unit,
10 flow path, 11 measurement water, 41 calculation unit, 42 storage unit, 43 detection unit,
44 Artificial intelligence department, 100 water quality measuring device.

Claims (8)

an irradiation window provided in a flow path for the measurement water, a light emitting section for emitting irradiation light to the measurement water, and a light receiving section configured in a matrix by a plurality of light receiving elements for receiving the incident light from the measurement water. , a water quality measuring device provided with a data processing device for receiving data of incident light from the light receiving unit, and a display unit,
A calculation unit provided in the data processing device calculates an average value of outputs of the plurality of light receiving elements having an output value equal to or higher than a predetermined threshold with respect to a maximum output value among the plurality of light receiving elements. Then, the sludge concentration of the measured water is calculated with the total amount of light received based on the average value, and the output value having an output value equal to or less than a predetermined threshold with respect to the maximum output value among the plurality of light receiving elements. A water quality measuring device that specifies coordinates of light receiving elements arranged in a matrix and outputs incident light data from the light receiving section, the sludge concentration and the specified coordinates to the display section. 2. The water quality measuring device according to claim 1, wherein the calculation unit performs calculations three times or more at predetermined time intervals, and the time intervals are 30 to 60 seconds. 3. The water quality measuring device according to claim 1, wherein the detection unit provided in the data processing device outputs an alarm to the display unit when the sludge concentration of the measured water exceeds a predetermined control standard value. . 2. A detection unit provided in said data processing device outputs an alarm to said display unit when the number of said light receiving elements having an output value equal to or less than said predetermined threshold value is equal to or greater than a predetermined number. The water quality measuring device according to claim 3. 5. The water quality measuring device according to any one of claims 1 to 4, wherein said predetermined threshold value is appropriately set according to the actual state of contamination of said water to be measured. 6. The water quality measuring device according to any one of claims 1 to 5, wherein the matrix is composed of a total of 25 or more light receiving elements with the same number on both the Y axis and the X axis. 7. The water quality measuring device according to any one of claims 1 to 6, wherein the irradiation window has a rectangular shape or a rectangular shape with a major axis in the flowing direction of the water to be measured. A plurality of water quality measuring devices according to claim 1 are installed as existing equipment in the same water quality management facility, and the water quality measuring device newly installed in the water quality management facility includes the data of the water quality measuring device according to claim 1 In addition to the processing device, an artificial intelligence unit is provided, and the artificial intelligence unit stores the incident light data of the light receiving unit at the same measurement timing stored in the storage unit of the water quality measuring device of the existing facility. , After acquiring a plurality of sets of data each including the total amount of light received and the sludge concentration, learning and storing the results, the light receiving unit of the data processing device of the newly installed water quality measuring device When the output from the artificial intelligence unit is input, the artificial intelligence unit creates the sludge concentration of the measured water and the specified coordinates using the learning result based on the light incident data from the light receiving unit, and the light receiving unit A water quality measuring device that outputs to the display unit together with incident light data from.

Images