JP2013073521A - Data structure, computer program, and data acquisition device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To allow application of identification data of a simulation object to three-dimensional image data, and suppress loss of the identification data in association with conversion of data format even when general three-dimensional data creation software is used.SOLUTION: Component data 20 is used for a simulation of a production line in a simulation device 10. The component data 20 includes component shape data 21 for identifying a three-dimensional image of a component, texture data 22 of a display texture that is displayed during execution of the simulation, and component identification data 23 that is data for identifying a component. The texture data 22 is designated as data of an image drawn for a three-dimensional image of a component by a first magnification, and the component identification data 23 is designated as data of a QR code image drawn for a three-dimensional image of a component by a second magnification that is smaller than the first magnification.

Description

  The present invention relates to data used for production line simulation, a computer program using the data, and a data acquisition apparatus.

  When simulation is performed using three-dimensional image data such as CAD (Computer Aided Design) data, the three-dimensional image data includes only data relating to the shape, the color of the surface, and the pattern. For this reason, in order to identify the simulation target displayed as a three-dimensional image, identification data is required separately from the three-dimensional image data.

  Therefore, there is a method in which identification data is stored in an auxiliary file different from the three-dimensional image data file and the identification data is used for simulation.

  In addition, there is a method of storing identification data in an undefined area such as a header area in data including image data (see, for example, Patent Document 1).

JP2002-300372

  However, in the method using the auxiliary file, file management becomes complicated.

  Further, in the method of storing identification data in an undefined area of data, it is necessary to use special software that can store identification data in the undefined area. Furthermore, if the file format (data format) of the image data is converted, the identification data may be lost along with the conversion.

  The present invention has been made in view of such circumstances, and its main object is to provide simulation target identification data to three-dimensional image data even when general three-dimensional image data creation software is used. It is possible to suppress the loss of identification data associated with data format conversion.

  The present invention employs the following means in order to solve the above problems.

  The first means is a structure of data used for simulation of a production line, and includes 3D image data for specifying a 3D image to be simulated, display texture data displayed when the simulation is executed, Identification data which is data for identifying the simulation target, the display texture data is specified as image data drawn at a first magnification with respect to the three-dimensional image, and the identification data is The three-dimensional image is specified as data of a two-dimensional image drawn at a second magnification smaller than the first magnification.

  Data having the above data structure is used for production line simulation. Since this data structure includes 3D image data for specifying the 3D image to be simulated, the 3D image to be simulated is displayed when the production line simulation is executed. At this time, the display texture is drawn on the three-dimensional image and used for the appearance inspection or the like of the simulation target.

  Here, the data structure includes identification data that is data for identifying a simulation target, and the identification data is specified as data of a two-dimensional image drawn for a three-dimensional image. For this reason, even when general three-dimensional image data creation software is used, identification data can be given to three-dimensional image data as data of a two-dimensional image that is a part of data used for simulation. it can. Furthermore, identification data for identifying a simulation target can be obtained by specifying data of a two-dimensional image corresponding to identification data among data used for simulation and analyzing the two-dimensional image. For this reason, when the data format is converted, the two-dimensional image corresponding to the identification data may be deteriorated, but the loss of the identification data acquired based on the two-dimensional image can be suppressed. .

  Furthermore, at the time of executing the simulation, the two-dimensional image corresponding to the identification data is drawn with a second magnification smaller than the first magnification, which is the magnification for drawing the display texture, with respect to the three-dimensional image. For this reason, it can suppress that the two-dimensional image corresponding to identification data influences the external appearance of simulation object. Therefore, it is possible to perform a simulation using 3D image data having identification data in the same manner as 3D image data having no identification data.

  As in the second means, the structure of data used for production line simulation, 3D image data for specifying a 3D image to be simulated, and identification data for identifying the simulation target, The identification data may be specified as data of a two-dimensional image drawn with a size displayed as a point when compared with the three-dimensional image. According to such a configuration, when the simulation is executed, the two-dimensional image corresponding to the identification data is displayed as a point when compared with the three-dimensional image. For this reason, it can suppress that the two-dimensional image corresponding to identification data influences the external appearance of simulation object. Therefore, it is possible to perform a simulation using 3D image data having identification data in the same manner as 3D image data having no identification data.

  As in the third means, the structure of data used for production line simulation, 3D image data for specifying a 3D image to be simulated, and identification data for identifying the simulation target, The identification data is specified as data of a two-dimensional image drawn with a size less than 1/1000 compared to a minimum movement amount when the simulation target is moved when the simulation is executed. It is also possible to adopt a configuration such as According to such a configuration, when the simulation is executed, the two-dimensional image corresponding to the identification data is drawn with a size less than 1/1000 compared to the minimum movement amount when the simulation target is moved. For this reason, the two-dimensional image corresponding to the identification data is drawn as a minimum point with respect to the three-dimensional image, and the influence on the appearance of the simulation target can be made minute.

  In a fourth means, the second magnification is a magnification less than 1/100 of the first magnification.

  According to the above configuration, when the simulation is executed, the two-dimensional image corresponding to the identification data is drawn at a magnification (second magnification) less than 1/100 of the magnification (first magnification) of the display texture. For this reason, the two-dimensional image corresponding to the identification data is drawn as a minimum point with respect to the three-dimensional image, and the influence on the appearance of the simulation target can be made minute.

  Specifically, as in the fifth means, the data of the two-dimensional image corresponding to the identification data and the data of the display texture are images of an image drawn on the same plane in the three-dimensional image. A configuration in which the data is designated as data can be employed. According to such a configuration, it is not necessary to provide a new surface for the 3D image to be simulated, and a 2D image corresponding to the identification data can be drawn on the original 3D image in the same manner as the display texture. it can.

  In the sixth means, the data of the two-dimensional image corresponding to the identification data is designated as image data to be displayed when the three-dimensional image is taken from a predetermined direction at a reference position.

  According to the above configuration, when the simulation is executed, a two-dimensional image corresponding to the identification data is displayed by taking a three-dimensional image at a reference position from a predetermined direction. For this reason, when the operator searches for a two-dimensional image corresponding to the identification data while looking at the three-dimensional image instead of analyzing the image data, the two-dimensional image corresponding to the identification data can be easily searched.

  In the seventh means, the data of the two-dimensional image corresponding to the identification data is designated as image data drawn in colorless.

  According to the above configuration, when the simulation is executed, the data of the two-dimensional image corresponding to the identification data is drawn in a colorless manner, so that the simulation can be prevented from being affected. As a result, it is possible to perform a simulation using 3D image data having identification data in the same manner as 3D image data having no identification data.

  In an eighth means, the two-dimensional image corresponding to the identification data is a two-dimensional image obtained by converting the identification data into a graphic code.

  According to the above configuration, since the two-dimensional image corresponding to the identification data is a two-dimensional image obtained by converting the identification data into a graphic code, even if the graphic code image deteriorates due to the conversion of the data format, the graphic code It is possible to suppress the deterioration of identification data acquired based on the above. That is, even if the graphic code printed on the actual object is slightly unclear, the data read from the graphic code does not deteriorate. Similarly, even if the graphic code drawn on the three-dimensional image is slightly unclear, the identification data read from the graphic code does not deteriorate. Therefore, it can suppress that identification data deteriorates. A bar code or a two-dimensional code can be used as the graphic code.

  In a ninth means, the graphic code is a graphic code having an error correction function.

  According to the above configuration, since the graphic code is a graphic code having an error correction function, an image of the graphic code deteriorates with the conversion of the data format, and an error occurs in a part of the identification data read from the graphic code. Even so, errors in the identification data can be corrected. That is, even if a part of the graphic code printed on the actual object is lost due to dirt or the like, the error of the read data can be corrected by the error correction function. Similarly, even if a part of the graphic code drawn on the three-dimensional image is lost due to the data format conversion, the error of the identification data can be corrected by the error correction function.

  In short, the graphic code drawn on the three-dimensional image has the characteristic that it is resistant to data format conversion, just as the graphic code printed on the real object has the characteristic that it is resistant to dirt. Therefore, it is possible to more effectively suppress the deterioration of the identification data. A QR code (registered trademark) or a data matrix code can be adopted as a graphic code having an error correction function.

  The tenth means is a computer program for obtaining identification data from the data structure of any one of the first to ninth means, and is an image drawn from the data structure at the smallest magnification with respect to the three-dimensional image. And a function of searching for data designated as the data of the data and a function of analyzing the searched data and acquiring the identification data.

  According to the above configuration, data designated as data of an image drawn at the smallest magnification with respect to the three-dimensional image is retrieved from the data structure. For this reason, the data of the two-dimensional image corresponding to the identification data can be searched from the data used for the simulation. Therefore, by analyzing the retrieved data, identification data for identifying the simulation target can be acquired.

  The eleventh means is a computer program for acquiring identification data from the data structure of any one of the first to ninth means, and from the data structure at a magnification smaller than a predetermined magnification for the three-dimensional image. It is characterized in that a computer realizes a function of retrieving data designated as image data to be drawn and a function of analyzing the retrieved data and acquiring the identification data.

  According to the above configuration, data specified as data of an image drawn with a magnification smaller than a predetermined magnification with respect to the three-dimensional image is retrieved from the data structure. For this reason, the data of the two-dimensional image corresponding to the identification data can be searched from the data used for the simulation. Therefore, by analyzing the retrieved data, identification data for identifying the simulation target can be acquired. As the predetermined magnification, a magnification smaller than the first magnification and larger than the second magnification described above, a 1/100 magnification, or the like can be adopted.

  The twelfth means is a computer program for acquiring identification data from the data structure of the eighth or ninth means, and is specified as data of a two-dimensional image drawn for the three-dimensional image in the data structure. The computer is realized with a function of identifying the graphic code by analyzing the processed data and a function of acquiring the identification data by decoding the specified graphic code.

  In the data structure of the eighth or ninth means, the two-dimensional image corresponding to the identification data is a two-dimensional image obtained by converting the identification data into a graphic code.

  Here, according to the configuration of the twelfth means, data specified as data of a two-dimensional image drawn for a three-dimensional image in the data structure is analyzed, and a graphic code is specified. That is, the data of the two-dimensional image obtained by converting the identification data into the graphic code is specified from the data of the two-dimensional image drawn for the three-dimensional image. And the identification data which identifies a simulation object can be acquired by decoding the specified figure code.

  A thirteenth means is a data acquisition device for acquiring identification data from the data structure of any one of the first to ninth means, and is drawn from the data structure at the smallest magnification with respect to the three-dimensional image. A search unit that searches for data designated as image data, and an acquisition unit that analyzes the searched data and acquires the identification data.

  According to the above configuration, the data acquisition apparatus can achieve the same effects as the computer program of the tenth means.

  A fourteenth means is a data acquisition device for acquiring identification data from the data structure of any one of the first to ninth means, wherein a magnification smaller than a predetermined magnification for the three-dimensional image is obtained from the data structure. A search unit that searches for data specified as image data drawn in (1), and an acquisition unit that analyzes the searched data and acquires the identification data.

  According to the said structure, in a data acquisition apparatus, there can exist an effect similar to the computer program of the 11th means.

  The fifteenth means is a data acquisition device for acquiring identification data from the data structure of the eighth or ninth means, and as data of a two-dimensional image drawn for the three-dimensional image in the data structure. A specifying unit that analyzes the specified data and specifies the graphic code; and an acquisition unit that decodes the specified graphic code and acquires the identification data.

  According to the above configuration, the data acquisition apparatus can achieve the same functions and effects as the computer program of the twelfth means.

The figure which shows the simulation aspect of a production line. The figure which shows the outline | summary of a simulation apparatus and data structure. The figure which shows the outline | summary of the structure of the component data which concern on 1st Embodiment. The figure which shows the state which the two-dimensional image of QR Code deteriorated. The figure which shows the aspect which draws the two-dimensional image of QR code, and the texture for a display. The figure which shows the outline | summary of the structure of the component data which concern on 2nd Embodiment. The figure which shows the aspect which draws the two-dimensional image of QR code, and the texture for a display. The figure which shows the outline | summary of the structure of the component data which concern on 3rd Embodiment. The figure which shows the aspect which draws the two-dimensional image of QR code, and the texture for a display. The figure which shows text data and its two-dimensional image.

(First embodiment)
Hereinafter, a first embodiment will be described with reference to the drawings. This embodiment is embodied as a simulation device that simulates the appearance inspection of a workpiece on the production line at the design stage of the production line.

  FIG. 1 is a diagram showing a simulation mode of a production line, and shows an image displayed on a monitor connected to the simulation apparatus. This production line includes a belt conveyor BC, a robot RB, a camera C, and a work table ST. The belt conveyor BC is a device that conveys the workpiece W, and the work table ST is a table on which the workpiece W is placed. The belt conveyor BC and the work table ST (equipment) are designed by an equipment manufacturer. The design data of the facility is VRML format data, and includes texture data in the gif format. The workpiece W is a component that constitutes a product and is designed by a component manufacturer. The part design data is data in the DWG format and includes texture data in the bitmap format. The robot RB is a robot having an articulated arm, and a camera C is attached to a hand portion of the arm. The robot RB is designed by a production line designer. The design data of the robot RB is VRML format data, and includes bitmap format texture data.

  In the appearance inspection of the workpiece W, the workpiece W is conveyed by the belt conveyor BC, and the workpiece W is placed on the work table ST by a robot or the like (not shown). Then, the robot RB moves the camera C to the shooting position of the workpiece W, and causes the camera C to capture the appearance of the workpiece W. Thereafter, the appearance of the workpiece W is inspected based on the image of the workpiece W acquired by photographing.

  The simulation apparatus simulates the appearance inspection process of the workpiece W using data provided from the equipment manufacturer, the parts manufacturer, and the production line designer. At that time, the design data provided from each is converted into data in a data format (VRML format) that can be used by the simulation apparatus. Specifically, the data provided from the equipment manufacturer is used as data in VRML format without converting the data format. Data provided from the component manufacturer is converted from data in the DWG format to data in the VRML format. Along with this conversion, the texture data in the bitmap format included in the component data is converted into texture data in the gif format. The data provided from the production line designer is used as data in the VRML format without converting the data format. The data format conversion may be performed by any of the equipment manufacturer, the parts manufacturer, and the production line designer.

  FIG. 2 is a diagram showing an outline of the simulation apparatus and the data structure.

  The equipment manufacturer designs the belt conveyor BC and the work table ST (equipment) and has equipment data 30 which is data representing the specifications of the belt conveyor BC and the work table ST (equipment). The equipment data 30 includes equipment shape data 31, texture data 32, and equipment identification data 33. The equipment shape data 31 is data in the VRML format, and the texture data 32 and the equipment identification data 33 are data in the gif format. The equipment shape data 31 is three-dimensional image data that specifies the shape of the equipment (simulation target). The texture data 32 is specified as display texture data (two-dimensional image) that is pasted on the surface of the three-dimensional image of the facility when the simulation is executed. In general, a plurality of texture data 32 are provided. The equipment identification data 33 (identification data) represents text data for identifying equipment as data of a two-dimensional image. Specifically, the facility identification data 33 is expressed as data of a two-dimensional image obtained by converting text data for identifying the type and number of the facility into a QR code (graphic code). The equipment identification data 33 is designated as data of a two-dimensional image (QR code image) of a QR code that is pasted on the surface of the three-dimensional image of the equipment when the simulation is executed. Here, the facility identification data 33 is specified as data of a QR code image drawn before the display texture for the same surface in the three-dimensional image of the facility. That is, one of the texture data 32 is designated as display texture data drawn on the QR code image.

  Similarly, the parts manufacturer designs the workpiece W (parts) and has part data 20 which is data representing the specifications. The component data 20 includes component shape data 21, texture data 22, and component identification data 23. The component data 20 is data converted from DWG format data including bitmap format texture data into VRML format data including gif format texture data. The part shape data 21 is data in the VRML format, and the texture data 22 and the part identification data 23 are data in the gif format. The part shape data 21 is three-dimensional image data that specifies the shape of a part (simulation target). The texture data 22 is specified as display texture data to be pasted on the surface of the three-dimensional image of the part when the simulation is executed. In general, a plurality of texture data 22 are provided. The part identification data 23 (identification data) represents text data for identifying a part as data of a two-dimensional image. Specifically, the part identification data 23 is expressed as two-dimensional image data obtained by converting text data for identifying a part manufacturing number, material, weight, and the like into a QR code. The component identification data 23 is specified as data of a two-dimensional image (QR code image) of a QR code that is pasted on the surface of a three-dimensional image of the component when the simulation is executed. Here, the component identification data 23 is specified as data of a QR code image drawn before the display texture for the same surface in the three-dimensional image of the component. That is, one of the texture data 22 is designated as display texture data drawn on top of the QR code image.

  Similarly, the production line designer designs the robot RB and has robot data 40 that is data representing the specifications. The robot data 40 includes robot shape data 41, texture data 42, and robot identification data 43. The robot shape data 41 is VRML format data, and the texture data 32 and the facility identification data 33 are bitmap format data. The robot shape data 41 is three-dimensional image data that specifies the shape of the robot (simulation target). The texture data 42 is specified as display texture data to be pasted on the surface of the three-dimensional image of the robot when the simulation is executed. In general, a plurality of texture data 42 are provided. The robot identification data 43 (identification data) represents text data for identifying a robot as two-dimensional image data. Specifically, the robot identification data 43 represents the data of a two-dimensional image obtained by converting text data for identifying a robot type, number, and the like into a QR code. The robot identification data 43 is designated as data of a two-dimensional image (QR code image) of a QR code that is pasted on the surface of the three-dimensional image of the robot when the simulation is executed. Here, the robot identification data 43 is specified as data of a QR code image drawn before the display texture for the same surface in the three-dimensional image of the robot. That is, one of the texture data 42 is designated as display texture data that is drawn over the QR code image.

  Here, a specific example of the data used for the simulation will be described. FIG. 3 is a diagram showing an outline of the structure of the component data 20. Here, the shape of the parts and the like will be described in a simplified manner.

  As shown in the figure, the shape of the part is designated as “BOX” (cuboid), and the length of each side in the x, y, and z directions is set to 1, 2, and 3, respectively. It is specified that a two-dimensional image is pasted as a texture on the surface of the component, and the data of the two-dimensional image is data in a gif format named “QRcode.gif”. The data “QRcode.gif” corresponds to the part identification data 23 described above, and is data of a two-dimensional image (QR code image) obtained by converting text data for identifying a part manufacturing number, material, weight, etc. into a QR code. It is. When this texture is pasted, no repetition is set, and the display scale is specified to be double (1 / 0.5) in both the x and y directions. After that, it is specified that another two-dimensional image is pasted as a texture on the same “BOX” surface (same surface), and the data of this two-dimensional image is in a gif format named “surface.gif”. It becomes data of. The data of “surface.gif” corresponds to the texture data 22 and is display texture data used in the appearance inspection of the parts. When this texture is pasted, no repetition is set, and the display scale is specified to be double (1 / 0.5) in both the x and y directions.

  In addition, in the equipment data 30, the equipment is set instead of the above parts, and the basic structure of the data is the same as that of the parts data 20. That is, the shape of the facility is set, and it is specified that a two-dimensional image is pasted as a texture on the surface of the facility. The equipment data 30 includes data corresponding to the equipment identification data 33 and data corresponding to the texture data 32 as texture data. The data corresponding to the facility identification data 33 is data of a two-dimensional image (QR code image) obtained by converting text data for identifying the type and number of the facility into a QR code, and is data in the gif format. Data corresponding to the texture data 32 is designated as data of a two-dimensional image to be pasted after a QR code image is pasted on the same surface of the facility, and is data in the gif format.

  In the robot data 40, a robot is set instead of the above parts, and the basic structure of the data is the same as that of the parts data 20. That is, the shape of the robot is set, and it is specified that a two-dimensional image is pasted as a texture on the surface of the robot. The robot data 40 includes data corresponding to the robot identification data 43 and data corresponding to the texture data 42 as texture data. The data corresponding to the robot identification data 43 is data of a two-dimensional image (QR code image) obtained by converting text data for identifying a robot type and number into a QR code, and here is data in a bitmap format. ing. Data corresponding to the texture data 42 is specified as data of a two-dimensional image to be pasted after pasting a QR code image on the same surface of the robot, and here is data in a bitmap format. .

  FIG. 4 is a diagram illustrating a state where a two-dimensional image (QR code image) of a QR code is deteriorated. The QR code image is deteriorated when the bitmap data of the QR code image provided from the production line designer to the equipment manufacturer is converted into the data in the gif format or the jpg format by the equipment manufacturer. In addition, the design data in the DWG format etc. of the parts owned by the parts maker is converted into data in the VRM format etc. by the production line designer, so that the bitmap format of the QR code image included in the design data of the parts is changed. When the data is converted into data in the gif format or the like, the QR code image is deteriorated.

  As shown in the figure, in the QR code image Q1 specified by bitmap format data, two types of cells (white and black) having different optical characteristics are displayed as accurate squares. On the other hand, in the QR code image Q2 specified by data such as the gif format, two types of cells having different optical characteristics are displayed in a state where a part of each cell is broken. A black cell has a chipped L in part, and a white cell has a stain D in part.

  In reading the QR code image, even if a part L of the QR code image Q2 and a stain D are generated, the QR code represented by the QR code image Q2 can be specified by analyzing the image. Then, by decoding the QR code, the same data as the data acquired from the QR code image Q1 can be acquired from the QR code image Q2. That is, even if a part of the QR code image Q2 has a missing L or a stain D, data read from the QR code image Q2 does not deteriorate. Furthermore, since the QR code has an error correction function, if an error occurs in a part of the acquired data, the error can be corrected.

  Returning to FIG. 2, the simulation apparatus 10 (data acquisition apparatus) includes a data search unit 11, a code identification unit 12, an identification data acquisition unit 13, and a control unit 14. These are constituted by an arithmetic device, a storage device, an input / output interface, and the like.

  The data search unit 11 (search unit) inputs part data 20, equipment data 30, and robot data 40 from a part maker, equipment maker, and production line designer, and specifies specific data from the respective data. Search for. Specifically, the data search unit 11 searches the data 20, 30, 40 for image data drawn on the same surface in the three-dimensional image specified by the shape data 21, 31, 41. For the example shown in FIG. 3, the data search unit 11 uses the same “BOX” surface from the data specified as the data of the two-dimensional image (texture) pasted on the surface of the three-dimensional image of the part. Data specified as data of a two-dimensional image drawn on (the same surface) is searched. Then, the data of “QRcode.gif” and the data of “surface.gif” are searched.

  The code identification unit 12 (identification unit) reads the retrieved data from the data retrieval unit 11, analyzes the data, and identifies the QR code. Specifically, the data retrieved by the data retrieval unit 11 includes identification data 23, 33, and 43 (data of QR code image), respectively. For this reason, each QR code image data is analyzed to identify each QR code represented by the QR code image. For the example shown in FIG. 3, the data of “QRcode.gif” and the data of “surface.gif” are analyzed, and the QR code image and thus the QR code are identified from the data of “QRcode.gif”. Here, since the data of “QRcode.gif” is data in the gif format, a part of the QR code image has a missing L or a stain D, but the QR code represented by the QR code image is analyzed by image analysis. Can be identified. The same applies to the case of analyzing the data corresponding to the equipment identification data 33 in the equipment data 30. In the robot data 40, the data corresponding to the robot identification data 43 is bitmap format data. Therefore, when the data corresponding to the robot identification data 43 is analyzed, a missing L or a dirt D occurs in the QR code image. Not.

  The identification data acquisition unit 13 (acquisition unit) reads the QR code specified from the code specification unit 12 and decodes the QR code to acquire text data for identifying a simulation target. Here, when there is no error in the QR code specified by the code specifying unit 12, appropriate text data for identifying the simulation target is acquired from the identification data 23, 33, 43, respectively. Even if an error exists in a part of the QR code specified by the code specifying unit 12, the error is corrected by the error correction function of the QR code.

  The control unit 14 reads the acquired text data from the identification data acquisition unit 13 and uses the result of identifying the simulation target based on the text data to simulate a part appearance inspection process. And the control part 14 displays the result of simulation on the monitor 15 (display apparatus). Here, as shown in FIG. 5, immediately after the QR code image Q is attached to the simulation target surface S1, the display texture TT is attached to the same surface S1. For this reason, when the simulation is executed, the QR code image Q is not displayed in appearance, and flickering between the QR code image Q and the display texture TT can be suppressed. Therefore, the simulation can be performed in the same manner as the data not having the identification data 23, 33, 43 using the data 20, 30, 40 having the identification data 23, 33, 43.

  The embodiment described above has the following advantages.

  The data 20, 30, and 40 include identification data 23, 33, and 43 that are data for identifying the simulation target, respectively. The identification data 23, 33, and 43 are specified as texture (two-dimensional image) data drawn for the three-dimensional image specified by the shape data 21, 31, and 41, respectively. For this reason, even when general three-dimensional image data creation software is used, identification data 23, 33, and 43 are given to the three-dimensional image data as texture data that is part of the data used for the simulation. can do. Furthermore, the data 20, 30 and 40 are respectively identified as two-dimensional image data corresponding to the identification data 23, 33 and 43, and the two-dimensional image is analyzed to obtain text data for identifying the simulation target. be able to. For this reason, when the data format is converted, the two-dimensional image corresponding to the identification data 23, 33, 43 may be deteriorated, but the text data as the identification data acquired based on the two-dimensional image is Loss can be suppressed.

  When executing the simulation, QR code images corresponding to the identification data 23, 33, and 43 are respectively drawn on the three-dimensional image specified by the shape data 21, 31, and 41, and are superimposed on the QR code image. Display texture. Therefore, the QR code image corresponding to the identification data 23, 33, 43 is not displayed in appearance, and the identification data 23, The simulation can be performed in the same manner as the three-dimensional image data without 33, 43.

  The QR code image data and display texture data corresponding to the identification data 23, 33, and 43 are images drawn on the same surface in the three-dimensional image specified by the shape data 21, 31, and 41, respectively. Specified as data. According to such a configuration, it is not necessary to provide a new surface for the three-dimensional image to be simulated, and QR codes corresponding to the identification data 23, 33, and 43 for the original three-dimensional image in the same manner as the display texture. You can draw an image.

  The QR code image data corresponding to the identification data 23, 33, 43 is designated as image data drawn before the display texture. According to such a configuration, QR code images corresponding to the identification data 23, 33, and 43 are drawn on the same surface of the three-dimensional image specified by the shape data 21, 31, and 41 when the simulation is executed. A display texture is drawn later. For this reason, when displaying the three-dimensional image specified by the shape data 21, 31, 41, it is possible to suppress flickering of the QR code image corresponding to the identification data 23, 33, 43 and the display texture. .

  Since the two-dimensional image corresponding to the identification data 23, 33, 43 is a two-dimensional image obtained by converting the identification data 23, 33, 43 into a QR code, the QR code image deteriorates as the data format is converted. Even if it does, degradation of the text data as identification data acquired based on QR Code can be suppressed. That is, even if the QR code printed on the actual object is slightly unclear, the data read from the QR code does not deteriorate. Similarly, even if the QR code drawn on the three-dimensional image specified by the shape data 21, 31, 41 is slightly unclear, the text data as identification data read from the QR code is Does not deteriorate.

  Since the QR code is a graphic code having an error correction function, even if the QR code image deteriorates with the conversion of the data format and an error occurs in a part of the data read from the QR code, Errors can be corrected. That is, even if a part of the QR code printed on the actual object is lost due to dirt or the like, the error of the read data can be corrected by the error correction function. Similarly, even if a part of the QR code drawn for the three-dimensional image specified by the shape data 21, 31, 41 is lost due to the conversion of the data format, the identification data is obtained by the error correction function. The error of the text data can be corrected. In short, the QR code drawn on the three-dimensional image has the characteristic that it is resistant to data format conversion, as the QR code printed on the real object has the characteristic that it is resistant to dirt. Therefore, it is possible to more effectively suppress the deterioration of the text data as the identification data.

  The data retrieval unit 11 retrieves data designated as data of images drawn on the same plane in the three-dimensional image specified by the shape data 21, 31, 41 from the data 20, 30, 40, respectively. . For this reason, the data of the two-dimensional image corresponding to the identification data 23, 33, 43 can be searched from the data 20, 30, 40, respectively.

  The code specifying unit 12 analyzes data specified as QR code image data drawn for the three-dimensional image specified by the shape data 21, 31, 41 among the data 20, 30, 40, respectively. QR code is specified. That is, two-dimensional image data obtained by converting the identification data 23, 33, and 43 into QR codes is identified from the QR code image data drawn for the three-dimensional image identified by the shape data 21, 31, 41. The Then, the identification data acquisition unit 13 can acquire text data as identification data for identifying the simulation target by decoding the QR code specified by the code specification unit 12.

  In addition, this embodiment can also be implemented as modified as follows.

  When the simulation apparatus 10 can specify the texture drawn below and the texture drawn above for the three-dimensional image, the QR code image corresponding to the identification data 23, 33, 43 is The texture to be drawn may be specified, and the display texture may be specified as the texture to be drawn above. According to such a configuration, the display texture is drawn on the QR code image corresponding to the identification data 23, 33, 43 on the same surface of the three-dimensional image when the simulation is executed. For this reason, when displaying the 3D image to be simulated, the QR code original image and the display texture can be prevented from flickering.

  In the above embodiment, the data search unit 11 searches the data 20, 30, and 40 for image data drawn on the same surface in the three-dimensional image specified by the shape data 21, 31, and 41. After that, the code specifying unit 12 analyzes the searched data and specifies the QR code. However, the code specifying unit 12 (specifying unit) analyzes all the data designated as the texture data drawn for the three-dimensional image among the data 20, 30, and 40, and specifies the QR code. You can also In that case, if there is no problem in the simulation, the QR code image may be displayed on the surface where the display texture is not drawn.

  If there is no problem with the simulation, a QR code image can be drawn on the display texture, or a QR code image can be drawn without the display texture.

(Second Embodiment)
In the first embodiment, in order to prevent the QR code images corresponding to the identification data 23, 33, and 43 from being displayed on the appearance, the display texture is drawn on the QR code image. In contrast, in the second embodiment, QR code images corresponding to the identification data 23, 33, and 43 are drawn on the inner surfaces of the three-dimensional images specified by the shape data 21, 31, and 41, respectively. Since the other points are the same as those of the first embodiment, the following description will focus on differences from the first embodiment.

  FIG. 6 is a diagram showing an outline of the structure of the component data 20. Here, the shape of the parts and the like will be described in a simplified manner.

  As shown in the figure, the shape of the part is designated as “BOX” (cuboid), and the length of each side in the x, y, and z directions is set to 1, 2, and 3, respectively.

  With respect to the position −0.5 (x direction) of the surface perpendicular to the x direction with the origin as the center of “BOX”, the position that is close to the inside, that is, −0.49 in the x direction, 0 in the y direction, And the position of 0 in the z direction is set as the reference coordinates of the plane on which the QR code image is pasted. In the reference coordinates, this plane is rotated by 90 ° (1.57 rad) around the z axis and is set to be parallel to a plane perpendicular to the x direction. This surface is set to have 2 meshes in the x direction, 2 meshes in the z direction, and 0 height.

  Then, it is specified that the two-dimensional image is pasted as a texture on the surface of the plane (the inner surface of the part), and the data of the two-dimensional image is data in the gif format named “QRcode.gif”. The data “QRcode.gif” corresponds to the part identification data 23 described above, and is data of a two-dimensional image (QR code image) obtained by converting text data for identifying a part manufacturing number, material, weight, etc. into a QR code. It is. In the QR code image as the texture, the number of repetitions and the display scale are omitted.

  Although not described here, as in the first embodiment, the component data 20 specifies that another two-dimensional image is pasted as a texture on the same “BOX” surface (the outer surface of the component). ing. The data of the two-dimensional image is gif format data named “surface.gif”. The data of “surface.gif” corresponds to the texture data 22 and is display texture data used in the appearance inspection of the parts. When this texture is pasted, no repetition is set, and the display scale is specified to be double (1 / 0.5) in both the x and y directions.

  In addition, in the equipment data 30, the equipment is set instead of the above parts, and the basic structure of the data is the same as that of the parts data 20. That is, the shape of the facility is set, and it is specified that a two-dimensional image is pasted as a texture on the inner surface and the outer surface of the facility. The equipment data 30 includes, as texture data, data corresponding to the equipment identification data 33 (image data pasted on the inner surface of the equipment) and data corresponding to the texture data 32 (data of images pasted on the outer surface of the equipment). ). The data corresponding to the facility identification data 33 is data of a two-dimensional image (QR code image) obtained by converting text data for identifying the type and number of the facility into a QR code, and is data in the gif format. Data corresponding to the texture data 32 is specified as data of a two-dimensional image to be pasted on the outer surface of the equipment, and is data in gif format.

  In the robot data 40, a robot is set instead of the above parts, and the basic structure of the data is the same as that of the parts data 20. That is, the shape of the robot is set, and it is specified that a two-dimensional image is pasted as a texture on the inner and outer surfaces of the robot. The robot data 40 includes, as texture data, data corresponding to the robot identification data 43 (image data pasted on the inner surface of the facility) and data corresponding to the texture data 42 (data of image pasted on the outer surface of the facility). ). The data corresponding to the robot identification data 43 is data of a two-dimensional image (QR code image) obtained by converting text data for identifying a robot type and number into a QR code, and here is data in a bitmap format. ing. Data corresponding to the texture data 42 is specified as data of a two-dimensional image to be pasted on the outer surface of the robot, and is data in a bitmap format here.

  As shown in FIG. 2, the simulation apparatus 10 (data acquisition apparatus) includes a data search unit 11, a code identification unit 12, an identification data acquisition unit 13, and a control unit 14. These are constituted by an arithmetic device, a storage device, an input / output interface, and the like.

  The data retrieval unit 11 (retrieval unit) obtains an image drawn from each data 20, 30, and 40 with respect to an inner surface (inner surface) in the three-dimensional image specified by each shape data 21, 31, and 41. Search for data. For the example shown in FIG. 6, the data search unit 11 creates in the “BOX” from the data specified as the data of the two-dimensional image (texture) pasted on the surface of the three-dimensional image of the part. The data designated as the data of the two-dimensional image drawn for the designated plane is searched. Then, the data of “QRcode.gif” is searched.

  Similar to the first embodiment, the code specifying unit 12 (specifying unit) reads the searched data from the data search unit 11 and analyzes the data to specify the QR code. For the example shown in FIG. 6, the data “QRcode.gif” is analyzed, and the QR code image, and thus the QR code, is identified from the data “QRcode.gif”.

  Similar to the first embodiment, the identification data acquisition unit 13 (acquisition unit) reads the QR code specified above from the code specification unit 12, decodes the QR code, and acquires text data for identifying the simulation target. Here, even if an error exists in a part of the QR code specified by the code specifying unit 12, the error is corrected by the error correction function of the QR code.

  As in the first embodiment, the control unit 14 reads the acquired text data from the identification data acquisition unit 13 and uses the result of identifying the simulation target based on the text data to simulate a part appearance inspection process. To do. And the control part 14 displays the result of simulation on the monitor 15 (display apparatus). Here, as shown in FIG. 7, the QR code image Q is pasted on the plane S <b> 3 created inside the simulation target. Although a part of the display is omitted, a display texture TT is pasted on the surface S2 or the like (outer surface) to be simulated. For this reason, when the simulation is executed, the QR code image Q is not displayed in appearance, and flickering between the QR code image Q and the display texture TT can be suppressed. Therefore, using data 20, 30, and 40 having identification data 23, 33, and 43, respectively, a simulation can be performed in the same manner as data that does not have identification data 23, 33, and 43.

  The embodiment described above has the following advantages. Here, only the advantages different from the first embodiment will be described.

  Identification data 23, 33, and 43 are texture (two-dimensional image) data drawn with respect to a plane (inner surface) created inside the three-dimensional image specified by the shape data 21, 31, and 41, respectively. Is specified as For this reason, at the time of executing the simulation, the two-dimensional image corresponding to the identification data 23, 33, 43 is drawn inside the three-dimensional image and is prevented from being displayed on the appearance. Therefore, using data 20, 30, and 40 having identification data 23, 33, and 43, respectively, a simulation can be performed in the same manner as three-dimensional image data that does not have identification data 23, 33, and 43.

  A plane is created inside the simulation target, and QR code images corresponding to the identification data 23, 33, and 43 are pasted on the plane. For this reason, in the simulation apparatus 10, even if it is a case where a texture cannot be affixed inside and outside with respect to the same surface in the three-dimensional image specified by the shape data 21, 31, 41, the QR code An image can be drawn inside a three-dimensional image.

  Data specified by the data search unit 11 as data of a two-dimensional image drawn from the data 20, 30, 40 on the inner surface of the three-dimensional image specified by the shape data 21, 31, 41 Each is searched. For this reason, the data of the two-dimensional image corresponding to the identification data 23, 33, 43 can be searched from the data 20, 30, 40, respectively.

  In addition, this embodiment can also be implemented as modified as follows.

  In the simulation apparatus 10, when textures can be pasted on the inside and outside of the same surface in the three-dimensional image specified by the shape data 21, 31, 41, the following is performed. You can also That is, the identification data 23, 33, 43 and the texture data 22, 32, 42 are specified as image data drawn on the inner surface and the outer surface, respectively, with respect to the same surface in the three-dimensional image. According to such a configuration, the QR code image corresponding to the identification data 23, 33, 43 is covered with the display texture and is suppressed from being displayed on the appearance. Further, it is not necessary to provide a new surface for the 3D image to be simulated, and a QR code image corresponding to the identification data 23, 33, 43 is drawn on the original 3D image in the same manner as the display texture. Can do. In this case, as shown in FIG. 7, normal vectors n1 and n2 indicating the drawing direction of the three-dimensional image with respect to the QR code image Q and the display texture TT may be designated in opposite directions. .

  If there is no problem with the simulation, the QR code image is drawn inside the surface where the display texture is not drawn, or the display texture drawn on the outer surface of the 3D image is omitted, and it is created inside the 3D image. It is also possible to draw a QR code image on the inner surface of a flat plane or a three-dimensional image.

  In the above embodiment, the data search unit 11 is drawn from each data 20, 30, 40 with respect to the inner surface (inner surface) in the three-dimensional image specified by the respective shape data 21, 31, 41. After retrieving the image data, the code identifying unit 12 analyzes the retrieved data and identifies the QR code. However, the code specifying unit 12 (specifying unit) analyzes all the data designated as the texture data drawn on the internal surface in the three-dimensional image among the data 20, 30, and 40, and performs the QR. You can also specify the code.

  In the above embodiment, the data search unit 11 of the simulation apparatus 10 searches the data 20, 30, and 40 for QR code image data drawn on the internal surface in the three-dimensional image. However, instead of analyzing the data of the searched image, the operator can search for a QR code image corresponding to the identification data 23, 33, 43 while looking at the three-dimensional image on the monitor 15. In this case, the structure of the data 20, 30, 40 should be as follows.

  That is, QR code image data corresponding to the identification data 23, 33, and 43 is designated as image data to be displayed when the inner surface of the three-dimensional image is photographed from a predetermined direction. For example, it is assumed that the shape of the part is designated as “BOX” (cuboid), and the length of each side in the x, y, and z directions is set to 1, 2, and 3, respectively. With respect to the position 1.5 (z direction) of the plane perpendicular to the z direction with the origin as the center of the “BOX”, the position is the inner side, that is, 0 in the x direction, 0 in the y direction, and in the z direction. The position of 1.49 is set as the reference coordinate of the plane on which the QR code image is pasted. At the reference coordinates, this plane is set to rotate so as to be parallel to a plane perpendicular to the z direction. Then, a setting is made so that the QR code image is pasted on this plane. According to such a configuration, the QR code image corresponding to the identification data 23, 33, 43 is displayed by photographing the inner surface of the three-dimensional image from the negative side to the positive side in the z direction at the time of executing the simulation. Therefore, a QR code image corresponding to the identification data 23, 33, 43 can be easily searched.

  Further, according to the above example, the identification data 23, 33, 43 is the position (0, 0, 1) where the QR code image corresponding to the identification data 23, 33, 43 is drawn when the inner surface of the three-dimensional image is photographed. .49) and the shooting position (0, 0, 0) are designated as data of an image drawn on the inner surface that is longer than 1.0 (predetermined distance). According to such a configuration, when the inner surface of the three-dimensional image is photographed at the time of executing the simulation, the distance between the QR code image and the photographing position can be secured, and the QR code image can be appropriately displayed. Therefore, a QR code image corresponding to the identification data 23, 33, 43 can be easily searched.

(Third embodiment)
In the first embodiment, in order to prevent the QR code images corresponding to the identification data 23, 33, and 43 from being displayed on the appearance, the display texture is drawn on the QR code image. On the other hand, in the third embodiment, QR code images corresponding to the identification data 23, 33, and 43 are ignored in appearance for the three-dimensional images specified by the shape data 21, 31, and 41, respectively. I am trying to draw in a size that can be. Since the other points are the same as those of the first embodiment, the following description will focus on differences from the first embodiment.

  FIG. 8 is a diagram showing an outline of the structure of the component data 20. Here, the shape of the parts and the like will be described in a simplified manner.

  As shown in the figure, the shape of the part is designated as “BOX” (cuboid), and the length of each side in the x, y, and z directions is set to 1, 2, and 3, respectively. It is specified that a two-dimensional image is pasted as a texture on the surface of the component, and the data of the two-dimensional image is data in a gif format named “QRcode.gif”. The data “QRcode.gif” corresponds to the part identification data 23 described above, and is data of a two-dimensional image (QR code image) obtained by converting text data for identifying a part manufacturing number, material, weight, etc. into a QR code. It is. When pasting this texture, the display scale is specified to be 1/2000 times (second magnification) in both the x and y directions. Thus, when the simulation is executed, the QR code image is drawn in a size that can be ignored in appearance with respect to the three-dimensional image of the component, and 1000 minutes compared with the minimum movement amount when the component is moved. It is drawn with a size of less than 1. Note that the number of repetitions is omitted from the QR code image as the texture.

  Although not described here, in the same manner as in the first embodiment, the component data 20 specifies that another two-dimensional image is pasted as a texture on the same “BOX” surface (the same surface). ing. The data of the two-dimensional image is gif format data named “surface.gif”. The data of “surface.gif” corresponds to the texture data 22 and is display texture data used in the appearance inspection of the parts. This display texture is pasted on the surface of the component prior to the QR code image. When this texture is pasted, no repetition is set, and the display scale is specified to be twice (first magnification) in both the x and y directions. Therefore, the QR code image is drawn with a smaller magnification than the display texture with respect to the three-dimensional image of the part.

  In addition, in the equipment data 30, the equipment is set instead of the above parts, and the basic structure of the data is the same as that of the parts data 20. That is, the shape of the facility is set, and it is specified that a two-dimensional image is pasted as a texture on the surface of the facility. The equipment data 30 includes data corresponding to the equipment identification data 33 and data corresponding to the texture data 32 as texture data. The data corresponding to the facility identification data 33 is data of a two-dimensional image (QR code image) obtained by converting text data for identifying the type and number of the facility into a QR code, and is data in the gif format. Data corresponding to the texture data 32 is specified as data of a two-dimensional image to be pasted on the same surface of the equipment before the QR code image, and is data in the gif format.

  In the robot data 40, a robot is set instead of the above parts, and the basic structure of the data is the same as that of the parts data 20. That is, the shape of the robot is set, and it is specified that a two-dimensional image is pasted as a texture on the surface of the robot. The robot data 40 includes data corresponding to the robot identification data 43 and data corresponding to the texture data 42 as texture data. The data corresponding to the robot identification data 43 is data of a two-dimensional image (QR code image) obtained by converting text data for identifying a robot type and number into a QR code, and here is data in a bitmap format. ing. Data corresponding to the texture data 42 is specified as data of a two-dimensional image to be pasted on the same surface of the robot prior to the QR code image, and is data in a bitmap format here.

  As shown in FIG. 2, the simulation apparatus 10 (data acquisition apparatus) includes a data search unit 11, a code identification unit 12, an identification data acquisition unit 13, and a control unit 14. These are constituted by an arithmetic device, a storage device, an input / output interface, and the like.

  The data retrieval unit 11 (retrieval unit) is designated as data of an image drawn with the smallest magnification with respect to the three-dimensional image specified by each shape data 21, 31, 41 from each data 20, 30, 40. Search for data. For the example shown in FIG. 8, the data search unit 11 is drawn with the smallest magnification from the data specified as the data of the two-dimensional image (texture) pasted on the surface of the three-dimensional image of the part. The data specified as the data of the dimensional image is searched. Then, the data of “QRcode.gif” is searched. Note that the data search unit 11 is drawn two-dimensionally at a magnification smaller than a predetermined magnification (for example, 1/100 magnification) from data designated as data of a two-dimensional image to be pasted on the surface of the three-dimensional image of the component. Data designated as image data may be searched.

  Similar to the first embodiment, the code specifying unit 12 (specifying unit) reads the searched data from the data search unit 11 and analyzes the data to specify the QR code. For the example shown in FIG. 8, the data of “QRcode.gif” is analyzed, and the QR code image, and thus the QR code, is identified from the data of “QRcode.gif”.

  Similar to the first embodiment, the identification data acquisition unit 13 (acquisition unit) reads the QR code specified above from the code specification unit 12, decodes the QR code, and acquires text data for identifying the simulation target. Here, even if an error exists in a part of the QR code specified by the code specifying unit 12, the error is corrected by the error correction function of the QR code.

  As in the first embodiment, the control unit 14 reads the acquired text data from the identification data acquisition unit 13 and uses the result of identifying the simulation target based on the text data to simulate a part appearance inspection process. To do. And the control part 14 displays the result of simulation on the monitor 15 (display apparatus). Here, as shown in FIG. 9, the QR code image Q is drawn in a size that can be ignored on the appearance by being superimposed on the display texture TT with respect to the simulation target surface S4. For this reason, the QR code image Q is displayed as a minimum point when the simulation is executed. Therefore, using data 20, 30, and 40 having identification data 23, 33, and 43, respectively, a simulation can be performed in the same manner as data that does not have identification data 23, 33, and 43.

  The embodiment described above has the following advantages. Here, only the advantages different from the first embodiment will be described.

  The QR code image corresponding to the identification data 23, 33, and 43 at the time of executing the simulation is a first magnification that draws the display texture with respect to the three-dimensional image specified by the shape data 21, 31, and 41, respectively. It is drawn at a second magnification (1/2000 times) smaller than the magnification (2 times). That is, the QR code image is drawn in a size that can be ignored in appearance from the three-dimensional image to be simulated, and is displayed as a minimal point. For this reason, it can be made minute that the QR code original image affects the appearance of the simulation target. Therefore, it is possible to perform a simulation in the same manner as the three-dimensional image data not having the identification data 23, 33, 43 using the data 20, 30, 40 having the identification data 23, 33, 43, respectively.

  Since the QR code image is drawn in a size that can be ignored in appearance with respect to the three-dimensional image to be simulated, the QR code image can be drawn over the display texture.

  The data retrieval unit 11 retrieves data designated as data of an image drawn at the smallest magnification with respect to the three-dimensional image specified by the shape data 21, 31, 41 from the data 20, 30, 40. Is done. For this reason, the data of the two-dimensional image corresponding to the identification data 23, 33, 43 can be searched from the data 20, 30, 40, respectively. The data retrieval unit 11 retrieves data designated as data of an image drawn at a magnification smaller than a predetermined magnification (for example, 1/100 magnification) from the data 20, 30, and 40 with respect to the three-dimensional image. Even if it does, it is the same.

  In addition, this embodiment can also be implemented as modified as follows.

  In the above embodiment, the data search unit 11 uses the data 20, 30, and 40 as data of an image drawn at the smallest magnification with respect to the three-dimensional images specified by the shape data 21, 31, and 41, respectively. After searching the designated data, the code specifying unit 12 analyzed the searched data and specified the QR code. However, the code specifying unit 12 (specifying unit) analyzes all the data designated as the texture data drawn for the three-dimensional image among the data 20, 30, and 40, and specifies the QR code. You can also

  In the above-described embodiment, the data search unit 11 of the simulation apparatus 10 searches the data 20, 30, and 40 for data designated as data of an image drawn at the smallest magnification with respect to the three-dimensional image. . However, instead of analyzing the data of the searched image, the operator can search for a QR code image corresponding to the identification data 23, 33, 43 while looking at the three-dimensional image on the monitor 15. In this case, the structure of the data 20, 30, 40 should be as follows.

  That is, QR code image data corresponding to the identification data 23, 33, and 43 is designated as image data to be displayed when a three-dimensional image is taken from a predetermined direction at the reference position. For example, it is assumed that the shape of the part is designated as “BOX” (cuboid), and the length of each side in the x, y, and z directions is set to 1, 2, and 3, respectively. In this case, it is specified that the QR code image is pasted on the surface of the surface perpendicular to the z direction of the component. According to such a configuration, a QR corresponding to the identification data 23, 33, and 43 is captured by capturing a three-dimensional image from the positive side to the negative side in the z direction, for example, at the reference position (0, 0, 4) when executing the simulation. A code image is displayed. Then, the QR code image can be displayed in an appropriate size by displaying the QR code image by, for example, reciprocal times the display scale. Therefore, a QR code image corresponding to the identification data 23, 33, 43 can be easily searched.

  In addition, each said embodiment can also be deform | transformed and implemented as follows.

  -The production line designer may design the work table ST, or the robot manufacturer may design the robot RB. In short, the data on the work table ST and the robot RB may be provided to the simulation apparatus 10.

  A data matrix code can be used instead of the QR code as a graphic code having an error correction function. Further, a graphic code having no error correction function can be employed instead of the QR code, and other two-dimensional codes and bar codes can also be employed. Even in these cases, even if the image of the graphic code is deteriorated due to the conversion of the data format, it is possible to suppress the deterioration of the text data as identification data acquired based on the graphic code.

  The identification data 23, 33, and 43 may be QR code image data, and may be specified as display texture data that is pasted colorless on the surface of the three-dimensional image when the simulation is executed. According to such a configuration, when the simulation is executed, the QR code image corresponding to the identification data 23, 33, and 43 is drawn in colorless, so that it is possible to prevent the simulation from being affected. As a result, using data 20, 30, and 40 having identification data 23, 33, and 43, respectively, a simulation can be performed in the same manner as three-dimensional image data that does not have identification data 23, 33, and 43.

  -In the simulation apparatus 10, the data search part 11, the code specific | specification part 12, the identification data acquisition part 13, and the control part 14 can also each be implement | achieved as a function of a computer program. In that case, it is preferable to read a medium on which the computer program is recorded by the simulation apparatus 10 (computer) and execute the computer program (method).

  As shown in FIG. 10, the identification data 23, 33, and 43 as the texture may represent the text data TX that identifies the simulation target as a two-dimensional image IM of text (characters). The text data TX can be obtained by analyzing the two-dimensional image IM by OCR (Optical Character Recognition) or the like. Even in this case, identification data 23, 33, and 43 can be assigned to the data 20, 30, and 40, respectively, as data of a two-dimensional image that is a part of the data 20, 30, and 40 used in the simulation. . Furthermore, although the two-dimensional image IM corresponding to the identification data 23, 33, 43 may be deteriorated when the data format is converted, the text data as identification data acquired based on the two-dimensional image IM It is possible to suppress the loss of TX.

  DESCRIPTION OF SYMBOLS 10 ... Simulation apparatus (data acquisition apparatus, computer), 15 ... Monitor, 20 ... Component data, 21 ... Component shape data (3D image data), 22 ... Texture data, 23 ... Component identification data (identification data), 30 ... Equipment data 31 ... Equipment shape data (3D image data), 32 ... Texture data, 33 ... Equipment identification data (identification data), 40 ... Robot data, 41 ... Robot shape data (3D image data), 42 ... Texture Data, 43... Robot identification data (identification data).

Claims (15)

A data structure used for production line simulation,
3D image data for specifying a 3D image to be simulated;
Display texture data displayed when the simulation is executed;
Identification data that is data for identifying the simulation target,
The display texture data is designated as image data drawn at a first magnification with respect to the three-dimensional image,
The data structure is characterized in that the identification data is specified as data of a two-dimensional image drawn at a second magnification smaller than the first magnification with respect to the three-dimensional image. A data structure used for production line simulation,
3D image data for specifying a 3D image to be simulated;
Identification data that is data for identifying the simulation target,
A data structure characterized in that the identification data is specified as data of a two-dimensional image drawn with a size displayed as a point when compared with the three-dimensional image. A data structure used for production line simulation,
3D image data for specifying a 3D image to be simulated;
Identification data that is data for identifying the simulation target,
The identification data is specified as data of a two-dimensional image drawn with a size less than 1/1000 compared to the minimum movement amount when the simulation target is moved when the simulation is executed. A data structure characterized by   The data structure according to claim 1, wherein the second magnification is a magnification less than 1/100 of the first magnification.   5. The two-dimensional image data and the display texture data corresponding to the identification data are designated as image data drawn on the same surface in the three-dimensional image. Data structure.   The data of the two-dimensional image corresponding to the identification data is specified as image data to be displayed when the three-dimensional image is taken from a predetermined direction at a reference position. The data structure described in.   The data structure according to any one of claims 1 to 6, wherein the data of the two-dimensional image corresponding to the identification data is specified as data of an image drawn in colorless.   The data structure according to claim 1, wherein the two-dimensional image corresponding to the identification data is a two-dimensional image obtained by converting the identification data into a graphic code.   The data structure according to claim 8, wherein the graphic code is a graphic code having an error correction function. A computer program for obtaining identification data from the data structure according to any one of claims 1 to 9,
A function for retrieving data designated as data of an image drawn at a minimum magnification with respect to the three-dimensional image from the data structure;
A function of analyzing the retrieved data to obtain the identification data;
A computer program for causing a computer to realize the above. A computer program for obtaining identification data from the data structure according to any one of claims 1 to 9,
A function for retrieving data designated as data of an image drawn at a magnification smaller than a predetermined magnification with respect to the three-dimensional image from the data structure;
A function of analyzing the retrieved data to obtain the identification data;
A computer program for causing a computer to realize the above. A computer program for obtaining identification data from the data structure according to claim 8 or 9,
A function of analyzing the data specified as the data of the two-dimensional image drawn for the three-dimensional image in the data structure to identify the graphic code;
A function of acquiring the identification data by decoding the specified graphic code;
A computer program for causing a computer to realize the above. A data acquisition device that acquires identification data from the data structure according to any one of claims 1 to 9,
A retrieval unit for retrieving data designated as data of an image drawn at a minimum magnification with respect to the three-dimensional image from the data structure;
An obtaining unit that analyzes the retrieved data and obtains the identification data;
A data acquisition device comprising: A data acquisition device that acquires identification data from the data structure according to any one of claims 1 to 9,
A retrieval unit for retrieving data designated as data of an image drawn with a magnification smaller than a predetermined magnification with respect to the three-dimensional image from the data structure;
An obtaining unit that analyzes the retrieved data and obtains the identification data;
A data acquisition device comprising: A data acquisition device for acquiring identification data from the data structure according to claim 8 or 9,
A specifying unit for analyzing the data specified as data of a two-dimensional image drawn for the three-dimensional image and specifying the graphic code in the data structure;
An acquisition unit that decodes the identified graphic code to acquire the identification data;
A data acquisition device comprising: