JP5932492B2 - Optical evaluation apparatus and optical evaluation method - Google Patents

Description

  The present invention relates to a technique for evaluating optical performance after deformation using a deformation analysis result for an optical device.

  In recent years, CAD (Computer Aided Design) technology has been widely used for designing parts and products. Then, a model created using CAD (hereinafter referred to as CAD model) is converted into a numerical analysis model (hereinafter referred to as analysis model), a numerical analysis simulation is performed, and the design contents are examined from the analysis result. Things have been done.

  In general, in designing an optical apparatus such as a camera or a copying apparatus, it is necessary to perform design in consideration of the influence of mechanical deformation such as thermal deformation or impact deformation on optical performance such as an imaging position. Therefore, a numerical analysis simulation is performed that combines deformation analysis for predicting mechanical deformation and optical evaluation for predicting optical performance. For example, Patent Document 1 describes a method for considering the relationship between such mechanical deformation and optical performance.

Japanese Patent Laid-Open No. 11-14924

  However, when the technique disclosed in Patent Document 1 is applied to the design of an optical device, there is a problem that much time and effort are required for associating a model and data used for deformation analysis and optical evaluation. For example, in order to use the results of deformation analysis for optical evaluation, search for optical components required for optical evaluation such as lenses and mirrors from among the deformation analysis results that include many mechanical parts such as exterior parts and lens barrels. It is necessary to extract the deformation analysis result in association with the evaluation.

  In view of the above problems, the present invention efficiently associates a shape model and optical data used for deformation analysis and optical evaluation, and extracts data in a range necessary for optical evaluation from the deformation analysis result, thereby improving efficiency after deformation analysis. It is intended to make it possible to perform an optical evaluation.

  As a means for achieving the above object, the optical evaluation apparatus of the present invention comprises the following arrangement. That is, an optical evaluation apparatus that performs optical evaluation using a deformation analysis result for an optical device, and includes a shape model to be evaluated, optical data indicating characteristic information for each optical surface constituting the shape model, and an optical axis The optical data includes input means for inputting optical axis data indicating the information on the surface, surface detecting means for detecting a surface intersecting the optical axis indicated by the optical axis data from the shape model as a detection surface, and the detection surface including the detection surface. Determination means for determining whether or not the optical surface is based on positional information of the surface in each of the shape model and the optical data, and when the detection surface is included in the optical data, Identifier adding means for assigning an identifier associated with the detection surface to the deformation analysis target node defined by the shape model, and the optical axis data according to the detection surface. In other words, optical axis calculation means for calculating new optical axis data after passing through the detection surface for detection of the next surface in the surface detection means, and deformation analysis created based on the shape model A deformation analysis means for performing a deformation analysis using a model; and an analysis result extraction means for extracting a deformation analysis result for the node to which the identifier is assigned from a deformation analysis result in the deformation analysis means, To do.

  According to the present invention, a shape model used for deformation analysis and optical evaluation is efficiently associated with optical data, and data in a range necessary for optical evaluation is extracted from the deformation analysis result. Optical evaluation can be performed.

A perspective view showing a computer system according to the first embodiment, The block diagram which shows the principal part structure in the main-body part of a computer system, A block diagram showing a functional configuration of a computer system, The figure which shows an example of optical data, A flowchart showing a deformation analysis result extraction process; The figure which shows the structural example of the camera to which the extraction process of a deformation | transformation analysis result is applied, The figure which shows an example of the identifier provided to an optical surface, The figure which shows the example of conversion of the optical axis according to the kind of surface, The figure which shows the effective area | region with respect to the extraction surface in 2nd Embodiment, A diagram showing an example of reducing the effective area, The figure which shows the example of expansion of the effective area, 10 is a flowchart showing an identifier assigning process in the second embodiment.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. The following embodiments do not limit the present invention related to the scope of claims, and all combinations of features described in the present embodiments are essential for the solution means of the present invention. Is not limited.

<First Embodiment>
The present embodiment shows an optical evaluation apparatus that performs optical evaluation using a deformation analysis result for an optical device. Specifically, first, a shape model to be evaluated, optical data indicating characteristic information for each optical surface constituting the shape model, and optical axis data indicating optical axis information are input (input processing). Then, a surface that intersects the optical axis indicated by the optical axis data is detected as a detection surface from the shape model (surface detection processing). Further, whether or not the detection surface is an optical surface included in the optical data is determined based on surface position information in each of the shape model and the optical data (determination process). When the detection surface is included in the optical data, an identifier associated with the detection surface is assigned to the node of the deformation analysis target defined by the shape model on the detection surface (identifier assignment processing). Then, by converting the optical axis data according to the detection surface, new optical axis data after passing through the detection surface is calculated for detection of the next surface (optical axis calculation processing). Then, deformation analysis is performed using the deformation analysis model created based on the shape model (deformation analysis process), and only the deformation analysis result for the node to which the identifier is assigned is extracted (analysis result extraction process).

  Thus, by efficiently associating the shape model and optical data used for deformation analysis and optical evaluation, it is possible to perform efficient optical evaluation after the deformation analysis.

Apparatus Configuration In the first embodiment, a case where the present invention is applied to a computer system will be described. FIG. 1 is a perspective view showing a computer system according to the present embodiment. In the computer system 100 shown in FIG. 1, reference numeral 101 denotes a main body unit incorporating a CPU, a disk drive, and the like. Reference numeral 102 denotes a display that displays an image such as a CAD model on the display screen 102A in accordance with an instruction from the main body 101. Reference numeral 103 denotes a keyboard for inputting various information of the computer system 100. A mouse 104 designates an arbitrary position on the display screen 102A in the display 102. Reference numeral 105 denotes a modem that allows an external database or the like to be downloaded to download a program or the like stored in another computer system.

  A program (CAD software) for causing the computer system 100 to have a CAD function is stored in a portable recording medium such as a disk 110 or from a recording medium 106 of another computer system via a communication device such as a modem 105. Downloaded. The downloaded program is input to the computer system 100 and compiled to operate the computer system 100 (CPU 201 described later) as a CAD system having a CAD function.

  Examples of the computer-readable recording medium such as the disk 110 for recording the program include a disk 110, an IC card memory, a magnetic disk such as a floppy (registered trademark) disk, a magneto-optical disk, a CD-ROM, and the like. . The portable recording medium applicable to the present invention is not limited to these examples, and includes various recording media accessible by a computer system connected via a communication means such as a modem 105 or a LAN.

  FIG. 2 is a block diagram showing a configuration of a main part in the main body 101 of the computer system 100. As shown in FIG. As shown in FIG. 2, the main unit 101 includes a CPU 201 connected by a bus 200, a memory unit 202 including RAM, ROM, and the like, a disk drive 203 for the disk 110, and a hard disk drive 204. In the present embodiment, the display 102, the keyboard 103, and the mouse 104 are also connected to the CPU 201 via the bus 200, but they may be directly connected to the CPU 201. The display 102 may be connected to the CPU 201 via a well-known graphic interface (not shown) that processes input / output image data.

  In the computer system 100, a keyboard 103 and a mouse 104 constitute input means of a CAD system. The display 102 constitutes output means for displaying a CAD model or the like on the display screen 102A. The configuration of the computer system 100 is not limited to the configuration shown in FIGS. 1 and 2, and various known configurations may be used.

  FIG. 3 is a block diagram showing a functional configuration of the computer system 100 according to the present embodiment. The functions shown in each block are realized by the CPU 201 executing a program (CAD software).

  In FIG. 3, an analysis data generation unit 301 inputs CAD data 302, optical data 303, and optical axis data 304 for a model including a plurality of component models (hereinafter also simply referred to as components).

  The CAD data 302 includes a shape model, model attribute information, model geometric information, and the like as part data representing a part model. The component data may be data corresponding to each of a plurality of components, or may be one data corresponding to the entire plurality of components, and the data structure is not limited.

  The optical data 303 includes information on the surface of the optical component necessary for optical evaluation. FIG. 4 shows an example of the optical data 303. As shown in FIG. 4, the optical data 303 includes optical ID 401, curvature radius information 402, center coordinates 403 that are surface position information, inclination 404, and refractive index information 405 for a plurality of optical component surfaces (hereinafter referred to as optical surfaces). And various types of information such as type information 406. The optical ID 401 is assigned to each of the front surface and the back surface of the optical component to be evaluated. The format of the optical data 303 is not limited to the example shown in FIG. 4. For example, in order to increase the accuracy of analysis, the optical data 303 may include more detailed surface shape information.

  The optical axis data 304 is information on incident light, and includes information indicating the start point position and direction of the incident light, for example.

  The analysis data generation unit 301 inputs the input CAD data 302, optical data 303, and optical axis data 304 for a plurality of models, and generates analysis data used by a deformation analysis execution unit 309 described later based on these data. . The analysis data generation unit 301 includes an optical surface search unit 305, an identifier assignment unit 306, an optical axis calculation unit 307, and a deformation analysis model creation unit 308.

  The optical surface search unit 305 searches the CAD data 302 for an optical surface that intersects the optical axis indicated by the optical axis data 304 and matches the optical data 303. The identifier assigning unit 306 assigns an identifier to the optical surface detected by the optical surface search unit 305. Based on this identifier, a deformation analysis result in this embodiment is extracted.

  The optical axis calculation unit 307 calculates the next optical axis following the current optical axis by changing the direction of the optical axis according to the type of the optical surface detected by the optical surface search unit 305. The deformation analysis model creation unit 308 performs setting of boundary conditions necessary for analysis based on the CAD data 302, and creates a deformation analysis model based on constraint conditions, load conditions, and the like set by the user.

  The deformation analysis execution unit 309 receives the analysis data generated by the analysis data generation unit 301 and executes deformation analysis. This deformation analysis is performed on the data of the analysis model created as described above. Deformation analysis includes processing such as analysis, evaluation, and optimization, and only analysis may be performed, or only analysis and evaluation are performed, and all analysis, evaluation, and optimization are performed. It may be broken.

  The analysis result extraction unit 310 extracts, from the analysis result generated by the deformation analysis execution unit 309, the deformation analysis result in a range necessary for optical evaluation using the identifier assigned by the identifier assignment unit 306.

Deformation Analysis Result Extraction Processing Hereinafter, processing for extracting deformation analysis results in a range necessary for optical evaluation, which is executed in the computer system according to the present embodiment, will be described with reference to the flowchart of FIG. This process is performed by the CPU executing a program.

  In this embodiment, a surface in the optical data 303 is searched from the part model indicated by the CAD data 302, and the optical axis is calculated. Here, an example in which the deformation analysis result extraction process is applied to the analysis of the camera having the configuration shown in FIG. The camera shown in FIG. 6 (a) includes a lens 604 having an optical surface (front surface) 602 and (back surface) 603 as optical components, a mirror 605, an image sensor 606, a pentaprism 607, and a viewfinder in the housing 601. A lens 608 is attached. Hereinafter, the lens 604 is described with the front / rear surface distinction omitted. The light beam emitted from the optical axis starting point 609 passes through the lens 604 as shown by the optical axis 610, is reflected by the mirror 605, is reflected in the pentaprism 607, passes through the lens 608, and reaches the viewfinder. Further, when the shutter is pressed, the mirror 605 moves out of the optical axis, and the light beam emitted from the optical axis start point 609 as shown in FIG. , The image reaches the image sensor 606 and is recorded.

  First, the computer system inputs CAD data 302, optical data 303, and initial optical axis data 304 to be designed (S501). The initial optical axis data 304 is data indicating the optical axis from the optical axis start point (609 in FIG. 6). These inputs may be input from an input unit of the computer system or a storage unit such as RAM or ROM, or may be input from another computer system via a communication line. Alternatively, it may be input from a storage medium (such as a disk) external to the computer system.

  Then, the optical surface search unit 305 searches the CAD data 302 input in S501 for a surface that intersects the optical axis indicated by the optical axis data 304, and is closest to the optical axis start point among the surfaces detected by the search. A surface is detected (S502). Further, the detected surface is collated with the surface included in the optical data 303, and the matched surface is detected (S503). For collation of the surfaces of the CAD data 302 and the optical data 303, for example, position information of each surface may be used.

  The identifier assigning unit 306 assigns an identifier to the detection surface because the detection surface that matches the surface in the optical data 303 is the surface (optical surface) of the optical component necessary for optical evaluation (S504). ). For example, in the example of FIG. 6A, an identifier is first given to the optical surface 602. The identifier assigned here is for associating the optical data 303 with the surface necessary for optical evaluation in the CAD data 302 (that is, in the deformation analysis model described later), and an example is shown in FIG. . FIG. 7 shows an example in which identifiers are assigned with the nodes on the detection surface as one group. Here, the node is an execution point of deformation analysis defined on the surface of each part based on the CAD data 302. In the example of FIG. 7, the node group name 701 is used as the identifier, the nodes are grouped for each optical ID 401 (FIG. 4) for identifying the surface in the optical data 303, and the optical ID 401 and the node number group 702 are associated with each other. .

  When the assignment of the identifier is completed in S504, or when the detection surface does not match the surface in the optical data 303 in S503, the optical axis calculation unit 307 sets the optical axis after passing through the detection surface as the next optical axis. Is calculated as (S505). Specifically, when the detection surface is in the optical data 303 and an identifier is given, the next optical axis is calculated according to the type of the detection surface. That is, based on the position / shape information (402, 403, 404) of the surface included in the optical data 303, the refractive index information 405, and the type information 406, the optical axis for which the surface was searched in S502 is refracted according to the physical law. The next optical axis is calculated by performing conversion corresponding to reflection. FIG. 8 shows an example of optical axis conversion. FIG. 8 (a) shows a conversion example when the surface type is a mirror and the optical axis is reflected. That is, when the optical axis that is the start point 802 and the direction 803 intersects the mirror 801, the optical axis is converted so as to be the start point 804 and the direction 805 according to the law of reflection. FIG. 8B shows a conversion example when the surface type is glass and the optical axis is refracted. That is, when the optical axis of the starting point 807 and the direction 808 intersects the glass surface 806, it is converted to the optical axis of the starting point 809 and the direction 810 according to the law of refraction. On the other hand, if the detection surface is not in the optical data 303, the next optical axis is calculated assuming that the detection surface simply transmits.

  Thus, by calculating the next optical axis in S505, it is possible to deal with an optical system in which the optical axis is bent as shown in FIG. 6 (a). After the conversion of the optical axis, the process of S502 to S505 is repeated using the converted optical axis (next optical axis) until no surface intersecting the optical axis is found in S502. As a result, identifiers are assigned in S504 for all optical surfaces that intersect the optical axis in the optical system.

  When the assignment of identifiers to all surfaces intersecting the optical axis is completed, the deformation analysis model creation unit 308 sets boundary conditions necessary for deformation analysis based on the CAD data 302 and creates a deformation analysis model (S506). ). Since a general process is performed as the deformation analysis model creation process, a detailed description thereof is omitted here. Then, the deformation analysis execution unit 309 executes the deformation analysis using the deformation analysis model created in S506 (S507).

  Finally, the analysis result extraction unit 310 extracts a deformation analysis result in a range necessary for optical evaluation from the deformation analysis result in S507 using the identifier assigned in S504 (S507). That is, since the deformation analysis result corresponding to the identifier is a deformation analysis result for the optical component, by extracting this, the deformation analysis result of the node on the surface of the optical component is obtained, and optical evaluation is possible. Specifically, the deformation analysis result of the extracted node is approximated (fitted) with a free-form surface, and the optical data 303 is deformed based on the approximation result to generate the deformed optical data, thereby performing the optical evaluation after the deformation. Can be performed. At this time, the optical data 303 can be referred to based on the identifier.

  In the present embodiment, an example of creating a deformation analysis model after assigning an identifier has been shown. However, a deformation analysis model may be created before assigning an identifier, or further deformation analysis may be performed. It suffices if the deformation analysis result for the attached node can be extracted. Further, although an example in which the optical surface is searched by giving data indicating the starting point position and direction of incident light as the optical axis data 304 has been shown, the optical axis data 304 may be a line segment or a straight line. It should be noted that the identifier may be assigned only to a part of the surfaces that are determined in advance or that are selectively specified by a user instruction.

  As described above, according to the present embodiment, it is possible to easily extract only the data necessary for optical evaluation from the deformation analysis result. Therefore, the optical evaluation for the deformation analysis result can be performed efficiently.

<Second Embodiment>
Hereinafter, a second embodiment according to the present invention will be described. In the first embodiment described above, the method for extracting the deformation analysis result for the entire detected optical surface has been described. However, depending on the holding method of the optical component, there is a concern that the accuracy may be deteriorated when a local deformation is caused in the vicinity of the holding portion and the result of the deformation analysis is extracted in numerical analysis. Specifically, as shown in FIG. 9, the optical component 901 held by the holding components 902 and 903 may be locally deformed at the holding points 904 and 905 depending on conditions. When the extraction according to the first embodiment described above is performed on the optical surface 906, the extraction range is a surface of a range indicated by an arrow 1001 in the drawing, and includes a holding point 905. At this time, if the holding point 905 is deformed, the optical evaluation accuracy is deteriorated.

  Therefore, in the second embodiment, as shown in FIG. 10, the deformation analysis result is extracted only for the region 1002 through which the light beam passes, as shown in FIG. 10, with respect to the detection surface 1001 in the first embodiment shown in FIG. To. Thereby, in the optical component, it becomes possible to reduce the influence of local deformation in the vicinity of the holding portion on the optical evaluation.

  On the other hand, depending on the surface shape of the optical component, it may be desirable to enlarge the effective area. For example, as shown in FIG. 11, although the optical treatment is a single surface, it is not defined as a single surface on the CAD data 302, and for the necessary area (effective area) 1102, In some cases, only the surface 1103 is detected. In such a case, it is desired to expand the effective area 1102 and extract the deformation analysis result. Therefore, in the second embodiment, an example will be described in which the range in which the deformation analysis result is extracted is adjusted (limited or expanded) in order to increase accuracy.

  The apparatus configuration in the second embodiment is the same as that in the first embodiment described above, but as described above, as the optical data 303, information on the region through which light rays pass in the optical plane (in order to improve the accuracy of optical evaluation ( Hereinafter, the effective area information) is included. The deformation analysis result extraction process in the second embodiment will be described below. The outline is substantially the same as the flowchart of FIG. 5 shown in the first embodiment, but the identifier assigning process in S504 is different, and this will be described with reference to the flowchart of FIG.

  As in the first embodiment, when a surface intersecting the optical axis is detected (S502), the detection surface closest to the optical axis start point is collated with the surface in the optical data 303 (S503), and the surface in the optical data 303 If it matches, an identifier is added to the detection surface (S504).

  Specifically, as shown in FIG. 12, the size of the detection surface is compared with the effective region size indicated by the effective region information indicated by the optical data 303 for the surface (S1201). Note that the size of the detection surface can be acquired from the CAD data 302. If the effective area 1002 indicated by the effective area information is smaller than the detection surface 1001 as shown in FIG. 9, the range to which the identifier is assigned is narrowed down to the effective area 1002 (S1202).

  On the other hand, as shown in FIG. 11, if the size of the detection surface 1103 is equal to or larger than the size of the effective area 1102, the surrounding surfaces that are continuous to the detection surface 1103 are also set as identifier assignment ranges. That is, the range of identifier assignment is expanded to include the difference between the effective area 1102 and the detection surface 1103 with respect to the effective area 1102 (S1203).

  Then, an identifier is assigned to the limited or expanded identifier addition range (S1204). That is, the identifier is limited or enlarged for the node group existing in the effective area corresponding to the detection surface. After that, the process proceeds to S505 as in the first embodiment.

  As described above, according to the second embodiment, it is possible to improve the analysis accuracy by adjusting the extraction range of the deformation analysis result within a necessary range among the deformation analysis results.

<Other embodiments>
The present invention is also realized by executing the following processing. That is, software (program) that realizes the functions of the above-described embodiments is supplied to a system or apparatus via a network or various storage media, and the computer of the system or apparatus (or CPU, MPU, etc.) reads the program. It is a process to be executed.

Claims (9)

An optical evaluation apparatus that performs optical evaluation using a deformation analysis result for an optical device,
An input means for inputting a shape model to be evaluated, optical data indicating characteristic information for each optical surface constituting the shape model, and optical axis data indicating information on the optical axis;
Surface detection means for detecting a surface intersecting with the optical axis indicated by the optical axis data from the shape model as a detection surface;
Determining means for determining whether or not the detection surface is an optical surface included in the optical data based on position information of the surface in each of the shape model and the optical data;
When the detection surface is included in the optical data, an identifier providing unit that assigns an identifier associated with the detection surface to a node of a deformation analysis target defined by the shape model on the detection surface;
Optical axis calculation means for calculating new optical axis data after passing through the detection surface for detection of the next surface in the surface detection means by converting the optical axis data according to the detection surface;
Deformation analysis means for performing deformation analysis using a deformation analysis model created based on the shape model;
From the deformation analysis result in the deformation analysis means, an analysis result extraction means for extracting a deformation analysis result for the node assigned with the identifier;
An optical evaluation apparatus comprising:   The determination unit, the identifier assigning unit, and the optical axis calculation unit each extract a surface closest to the start point of the optical axis in the surface detection unit until the detection surface is no longer detected from the shape model. 2. The optical evaluation device according to claim 1, wherein the process is repeated.   The optical axis calculation means calculates the new optical axis data based on characteristic information indicated by the optical data for the detection surface when the detection surface is included in the optical data. The optical evaluation apparatus according to 1 or 2.   The optical axis calculation unit according to claim 3, wherein the optical axis calculation unit calculates the new optical axis data so as to pass through the detection surface when the detection surface is not included in the optical data. Evaluation device. The optical data has effective area information indicating the effective area size of the optical surface,
The identifier giving means
Comparison means for comparing the size of the detection surface acquired from the shape model with the effective area size indicated by the optical data corresponding to the detection surface;
When the effective area size is smaller than the size of the detection surface, among the nodes on the detection surface, a limitation giving means for giving the identifier to the nodes in the effective region;
When the effective area size is equal to or larger than the size of the detection surface, an enlargement imparting means for assigning the identifier to a node in the effective area including a difference between the effective area and the detection surface;
5. The optical evaluation apparatus according to claim 1, further comprising: Further, approximating means for approximating the deformation analysis result of the nodal point for each optical surface extracted by the analysis result extracting means to a free-form surface,
An optical evaluation means for deforming the optical data using an approximate result by said approximating means to create an optical data after deformation, performs the optical evaluation,
6. The optical evaluation device according to claim 1, comprising:   7. The optical device according to claim 1, wherein the optical data includes optical surface type information, optical surface shape information, and optical surface refractive index information as the characteristic information. Evaluation device. An optical evaluation apparatus that includes an input unit, a surface detection unit, a determination unit, an identifier addition unit, an optical axis calculation unit, a deformation analysis unit, and an analysis result extraction unit, and performs optical evaluation using a deformation analysis result for an optical device. An optical evaluation method,
The input means inputs a shape model to be evaluated, optical data indicating characteristic information for each optical surface constituting the shape model, and optical axis data indicating optical axis information,
The surface detection means detects, from the shape model, a surface that intersects the optical axis indicated by the optical axis data as a detection surface,
The determination unit determines whether the detection surface is an optical surface included in the optical data based on position information of the surface in each of the shape model and the optical data,
When the detection surface is included in the optical data, the identifier assigning unit assigns an identifier associated with the detection surface to the node of the deformation analysis target defined by the shape model on the detection surface. ,
The optical axis calculation means converts the optical axis data according to the detection surface, so that new optical axis data after passing through the detection surface is calculated for detection of the next surface by the surface detection means. And
The deformation analysis means performs a deformation analysis using a deformation analysis model created based on the shape model,
The analysis result extraction unit extracts a deformation analysis result for the node to which the identifier is assigned, from the deformation analysis result in the deformation analysis unit;
An optical evaluation method characterized by the above.   A program for causing a computer device to function as each unit of the optical evaluation device according to any one of claims 1 to 7 when executed by the computer device.

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