JP6237002B2 - Model measurement apparatus, model measurement method, and program - Google Patents

Description

  The present invention relates to a model measurement device, a model measurement method, and a program.

  In product development, in order to ensure the quality of product design, a checklist that summarizes items to be verified with reference to past failure cases etc. is created, and design verification is performed based on the checklist etc. There is. Previously, design verification was performed using actual products. However, in recent years, in order to perform verification from the initial stage of design, design verification is often performed using a three-dimensional model generated by a computer. ing.

  A three-dimensional model is a model that represents a three-dimensional shape of a product or the like generated by three-dimensional computer-aided design (CAD), and design verification using the three-dimensional model is sometimes called Virtual Design Review (VDR). is there.

  There is also known a design support apparatus that can detect a plurality of adjacent portions between components (see, for example, Patent Document 1). This design support device selects a verification target part from a plurality of parts constituting the product, calculates the distance between the parts based on the verification unit, and changes the display mode of the verification target part according to the calculated distance To do.

  An information retrieval apparatus that retrieves a partial shape of a 3D model is also known (see, for example, Patent Document 2). This information retrieval apparatus extracts a partial shape of a 3D model located in the normal direction of a specified starting point as a partial model, calculates a feature amount of the extracted partial model, and calculates the calculated feature amount. A partial model having a similarity greater than or equal to a predetermined value is searched.

JP 2007-48004 A JP 2011-150667 A

The design verification based on the conventional checklist has the following problems.
Since not all workers can perform design verification from the viewpoint of skilled workers, stable verification quality is not always obtained. In design verification using a three-dimensional model, new verification work may occur due to a shape change or configuration change of the three-dimensional model.

  For example, in design verification using a three-dimensional model, if an operator measures and confirms the dimensions of a verification location, etc., and uses a three-dimensional CAD operation history, a user interface test tool, etc., measurement is performed once. Operations can be recorded and reproduced. However, this method is effective only when there is no change in the shape or configuration of the three-dimensional model, and the range of use is limited to educational purposes.

  In addition, it is possible to narrow down the measurement result by setting a threshold value for the measurement result of the three-dimensional model or by limiting elements (surface, edge, etc.) that are measurement locations. However, the selection of the measurement location and the determination of which of the narrowed down measurement results to check depends on the skill level of the operator, so the verification quality is not stable. Therefore, it is desired to obtain a stable measurement result without depending on the skill level of the operator.

  Such a problem occurs not only when design verification using a three-dimensional model is performed, but also when a measurement location of the three-dimensional model is simply measured.

  In one aspect, an object of the present invention is to obtain a stable measurement result in measurement of a three-dimensional model.

In one plan, the model measurement device includes a storage unit, a measurement unit, and an output unit.
The storage unit stores measurement operation feature information indicating characteristics of a measurement operation for measuring the first shape included in the first three-dimensional model, and shape data of the second three-dimensional model. The measuring unit extracts a second shape similar to the first shape from the second three-dimensional model using the shape data of the second three-dimensional model, and the second shape based on the measurement operation feature information Measure. The output unit outputs the measurement result of the second shape.

  According to the model measurement apparatus of the embodiment, a stable measurement result can be obtained in the measurement of the three-dimensional model.

It is a functional block diagram of a model measurement apparatus. It is a flowchart of a 1st model measurement process. It is a figure which shows the 1st specific example of a model measurement apparatus. It is a figure which shows the 1st example of the information which a memory | storage part memorize | stores. It is a figure which shows a measurement classification table. It is a figure which shows an element table. It is a figure which shows an element relationship table. It is a figure which shows an arrangement | positioning condition table. It is a figure which shows a 1st verification item table. It is a figure which shows the 1st measurement operation characteristic table. It is a flowchart (the 1) of a feature information generation process. It is a flowchart (the 2) of a feature information generation process. It is a flowchart (the 3) of a feature information generation process. It is a figure which shows a 1st three-dimensional model. It is a figure which shows measurement operation which measures the shortest distance. It is a figure which shows the 1st measurement operation information. It is a figure which shows a 2nd verification item table. It is a figure which shows the 2nd measurement operation characteristic table. It is a figure which shows the arrangement | positioning conditions of an element, and the relationship of an element. It is a flowchart (the 1) of the 2nd model measurement process. It is a flowchart (the 2) of a 2nd model measurement process. It is a flowchart (the 3) of a 2nd model measurement process. It is a flowchart (the 4) of a 2nd model measurement process. It is a figure which shows a 2nd three-dimensional model. It is a figure which shows 2nd measurement operation information. It is a figure which shows an element name list. It is a figure which shows an element extraction list. It is a figure which shows an arrangement | positioning condition list | wrist. It is a figure which shows an arrangement condition matching list. It is a figure which shows an element relation list. It is a figure which shows a geometry information combination list | wrist. It is a figure which shows a 1st measurement result. It is a figure which shows a 2nd measurement result. It is a flowchart (the 1) of a partial shape registration process. It is a flowchart (the 2) of a partial shape registration process. It is a figure which shows the process which extracts a partial shape. It is a figure which shows the process which cut | disconnects a component model. It is a figure which shows a shape table. It is a figure which shows the 3rd measurement operation characteristic table. It is a flowchart (the 1) of a partial shape search process. It is a flowchart (the 2) of a partial shape search process. It is a flowchart (the 3) of a partial shape search process. It is a figure which shows a partial shape search process. It is a figure which shows a partial shape list. It is a figure which shows the 2nd specific example of a model measurement apparatus. It is a figure which shows the 2nd example of the information which a memory | storage part memorize | stores. It is a flowchart (the 1) of a shape extraction process. It is a flowchart (the 2) of a shape extraction process. It is a figure which shows a verification item list. It is a figure which shows the keyword extracted from the verification item of the verification item list. It is a figure which shows the correspondence of the verification item of a verification item table, and a keyword. It is a figure which shows an extraction verification item list. It is a block diagram of information processing apparatus.

Hereinafter, embodiments will be described in detail with reference to the drawings.
FIG. 1 shows an example of a functional configuration of the model measurement apparatus according to the embodiment. The model measurement apparatus 101 in FIG. 1 includes a storage unit 111, a measurement unit 112, and an output unit 113.

  The storage unit 111 stores measurement operation feature information indicating characteristics of a measurement operation for measuring the first shape included in the first three-dimensional model, and shape data of the second three-dimensional model. The measurement unit 112 is a functional unit that executes processing according to the embodiment using measurement operation feature information and shape data stored in the storage unit 111.

  FIG. 2 is a flowchart illustrating an example of model measurement processing performed by the model measurement apparatus 101 of FIG. First, the measurement unit 112 refers to the storage unit 111 and extracts a second shape similar to the first shape from the second three-dimensional model using the shape data of the second three-dimensional model (step 201). Next, the measurement unit 112 refers to the storage unit 111 and measures the second shape based on the measurement operation feature information (step 202). Then, the output unit 113 outputs the measurement result of the second shape (step 203).

  According to such a model measurement apparatus 101, a stable measurement result can be obtained in the measurement of a three-dimensional model. Even when the shape or configuration of the three-dimensional model is changed, a constant measurement result can be obtained without specifying the shape to be measured again, thereby reducing the burden on the operator.

  FIG. 3 shows a specific example of the model measuring apparatus 101 of FIG. 3 includes a storage unit 111, a measurement unit 112, an output unit 113, and an input unit 301. The measurement unit 112 includes an extraction unit 311, a search unit 312, and a reproduction unit 313. For example, when the operator verifies the structural design of a product based on a check list or the like, the model measuring apparatus 101 measures whether a verification condition is satisfied while measuring a three-dimensional model on CAD. Used.

  FIG. 4 shows an example of information stored in the storage unit 111 of FIG. The storage unit 111 in FIG. 4 stores shape data 401, measurement operation information 402, measurement operation information 403, feature definition information 404, verification conditions 405, and measurement operation feature information 406.

  The shape data 401 is data defining one or more shapes included in the three-dimensional model, and includes, for example, information on the positions of a plurality of vertices and edges between those vertices. The shape data 401 may include information on a surface surrounded by a plurality of edges. The three-dimensional model may be a single shape, or may be a combination of two or more shapes, such as an assembly model.

  The measurement operation information 402 and the measurement operation information 403 are information indicating the measurement operation of the operator who measures the shape included in the three-dimensional model. The measurement operation information 402 indicates, for example, a measurement operation for measuring the first shape included in the first three-dimensional model, and the measurement operation information 403 includes, for example, the second shape included in the second three-dimensional model. The measurement operation which measures is shown.

  The feature definition information 404 is information used to define the feature of the measurement operation. The feature definition information 404 can include, for example, a measurement type table, an element table, an element relation table, and an arrangement condition table.

  The measurement type table is a table that defines a measurement type that is a type of a measurement target amount of a shape to be measured, and includes information as shown in FIG. 5, for example. The measurement type table in FIG. 5 includes item numbers and measurement types. As the measurement type, “shortest distance”, “projection distance”, “radius”, “angle”, “area”, “volume”, and the like are used. For example, the measurement type of item number “1” is “shortest distance”.

  The element table is a table that defines the constituent elements included in the shape, and includes, for example, information as shown in FIG. The element table in FIG. 6 includes item numbers and element names. As the element name, “centroid”, “surface”, “edge”, “axis”, “vertex”, “geometric center”, etc. are used. For example, the element name of the item number “2” is “face”.

  The element relationship table is a table that defines a relative positional relationship between two elements, and includes, for example, information as shown in FIG. The element relationship table of FIG. 7 includes item numbers, element relationships, element 1 and element 2. Element 1 and element 2 represent item numbers in the element table of FIG. 6, and the element relationship represents a relative positional relationship between the two element names indicated by element 1 and element 2. The relative positional relationship includes a posture relationship between two element names. For example, the relationship of the element of item number “1” is “the normal is true reverse”, and the relationship of the element of item number “4” is “closest surface”. When the element name is “surface”, the normal corresponds to the normal of the surface.

  The arrangement condition table is a table that defines the arrangement of elements in the three-dimensional model, and includes, for example, information as shown in FIG. The arrangement condition table in FIG. 8 includes item numbers, arrangement conditions, and elements. The element represents an item number in the element table of FIG. 6, and the arrangement condition represents the arrangement of the element in the three-dimensional model. For example, the arrangement condition of item number “1” is “there is an element in the outer periphery of the model”, and the arrangement condition of item number “3” is “there is an element inside the model”. The outer peripheral portion of the model represents a surface portion observed from the outside of the three-dimensional model, and the inside of the model represents a hidden portion that is not observed from the outside of the three-dimensional model.

  The verification condition 405 represents a verification condition applied to the measurement target quantity, and includes, for example, a verification item table as shown in FIG. The verification item table in FIG. 9 includes item numbers and verification items. For example, the verification item with the item number “1” is “make the gap size of the outer peripheral portion 5 mm or more”.

  The measurement operation feature information 406 is information indicating the feature of the measurement operation, and is extracted from the measurement operation information 402 by the extraction unit 311. The measurement operation feature information 405 includes, for example, a measurement operation feature table as shown in FIG. The measurement operation feature table of FIG. 10 includes verification items and features, and the features include measurement types, element combinations, element relationships, shape combinations, arrangement conditions, and measurement values.

  The verification item represents the item number of the verification item corresponding to the measurement operation in the verification item table of FIG. 9, and the measurement type is the item number corresponding to the measurement type selected by the measurement operation in the measurement type table of FIG. Represents. The element combination represents a combination of element 1 and element 2 corresponding to the combination of two elements selected by the measurement operation in the element relation table of FIG.

  The element relationship represents an item number corresponding to the relationship between the two elements selected by the measurement operation in the element relationship table of FIG. 7, and the shape combination is the shape data of the shape combination selected by the measurement operation. Represent. The arrangement condition represents an item number corresponding to the arrangement condition of the element selected by the measurement operation in the arrangement condition table of FIG. 8, and the measurement value represents the measurement value of the measurement target amount measured by the measurement operation.

  The measurement operation feature information 406 can further include information indicating interference between shapes and component attribute information (hardness, conductivity, etc.) corresponding to the shapes.

  The input unit 301 stores, in the storage unit 111, shape data 401, measurement operation information 402, measurement operation information 403, and verification items input from the outside. The measurement unit 112 measures the shape included in the three-dimensional model according to the measurement operation information 402 or the measurement operation information 403 and stores the measurement value in the storage unit 111.

  The extraction unit 311 of the measurement unit 112 extracts the measurement operation feature information 406 from the shape data 401 and the measurement operation information 402 and stores it in the storage unit 111. The search unit 312 searches for a shape similar to the shape included in the combination of the shapes in the measurement operation feature information 406 from the shapes included in the new three-dimensional model to be measured. Based on the measurement operation feature information 406, the reproduction unit 313 reproduces the measurement operation performed by the past operator by measuring a similar shape included in the new three-dimensional model to be measured, and obtains the measurement result. Store in the storage unit 111.

  The output unit 113 is, for example, a display device, a printer, or a network connection device. When the output unit 113 is a display device, the output unit 113 displays the measurement result on the screen, and when the output unit 113 is a printer, the output unit 113 prints the measurement result on a paper medium and outputs it.

  When the output unit 113 is a network connection device, the output unit 113 outputs the measurement result to a communication network, and the measurement result is transmitted to an information processing device (computer) connected to the communication network. The information processing apparatus can display or print the received measurement result via a display device or a printer.

  For example, the measurement operation characteristic information 406 indicating the characteristics of the measurement operation of the skilled person is used to detect a similar shape of a new measurement object, and the measurement operation is reproduced, so that stable measurement based on the expert's viewpoint is performed. The result can be obtained. Even when the shape or configuration of the three-dimensional model is changed, a constant measurement result can be obtained without specifying the shape to be measured again, thereby reducing the burden on the operator.

  Next, the feature information generation process performed by the model measurement apparatus 101 in FIG. 3 will be described with reference to FIGS.

  11 to 13 are flowcharts illustrating an example of the feature information generation process. First, the operator inputs verification items to the input unit 301, and the input unit 301 stores the input verification items in the storage unit 111 (step 1101 in FIG. 11).

  Next, the worker inputs the shape data of the three-dimensional model to be measured to the input unit 301, and the input unit 301 stores the input shape data as the shape data 401 in the storage unit 111 (step 1102).

  For example, when an assembly model of product A as shown in FIG. 14 is input as a three-dimensional model, shape data of a plurality of part models included in the assembly model is stored as shape data 401.

  Next, the worker inputs a measurement operation for the three-dimensional model to the input unit 301, and the input unit 301 stores the measurement operation information 402 corresponding to the input measurement operation in the storage unit 111 (step 1103).

  For example, as shown in FIG. 15, when the operator measures the shortest distance between the surface S1 of the component model X and the surface S2 of the component model Y included in the assembly model of FIG. Operation information 402 is input in time series. Then, the measurement unit 112 measures the shortest distance between the surface S1 and the surface S2 according to the measurement operation information 402, and stores the measurement value “5 mm” of the shortest distance in the storage unit 111 as a part of the measurement operation information 402.

  Next, the extraction unit 311 stores the input verification item in the storage unit 111 as the verification condition 405, and adds information on the verification item to the measurement operation feature table (step 1104).

  For example, when the verification item “make the gap size of the outer peripheral portion 5 mm or more” is input, the extraction unit 311 has, as shown in FIG. 17, as the verification item of the item number “1” in the verification item table, Stores “make gap size of outer peripheral part 5 mm or more”. Then, as illustrated in FIG. 18, the extraction unit 311 adds the item number “1” as a verification item on the bottom line of the measurement operation feature table.

  Next, the extraction unit 311 adds shape data of the combination of shapes selected by the measurement operation to the measurement operation feature table based on the measurement operation information 402 (step 1105).

  When the measurement operation information 402 in FIG. 16 is input, the extraction unit 311 determines that the combination of the selected shapes is the part model X and the part model Y, and the part model X and the part model Y from the shape data 401 are determined. Extract shape data. Then, the extraction unit 311 adds the shape data of the component model X and the component model Y as a combination of the shapes of the bottom row of the measurement operation feature table of FIG.

  Next, based on the measurement operation information 402, the extraction unit 311 adds the measurement type selected by the measurement operation to the measurement operation feature table (step 1106).

  When the measurement operation information 402 in FIG. 16 is input, the extraction unit 311 determines that the selected measurement type is “shortest distance”, and the item number corresponding to “shortest distance” from the measurement type table in FIG. “1” is extracted. Then, the extraction unit 311 adds the item number “1” as the measurement type in the bottom row of the measurement operation feature table in FIG.

  Next, the extraction unit 311 extracts a measurement location selected by the measurement operation from the measurement operation information 402 (step 1107 in FIG. 12), and extracts geometry information corresponding to the extracted measurement location from the shape data 401. (Step 1108). Then, based on the extracted geometry information, the extraction unit 311 adds a combination of elements at the measurement location to the measurement operation feature table (step 1109).

  The geometry information is information that expresses elements such as vertices, edges, and surfaces in a coordinate system of a three-dimensional space. For example, vertex geometry information can include vertex coordinates, and edge geometry information can include vertex coordinates at both ends of the edge. The surface geometry information can include coordinates of a plurality of surrounding vertices, connection information between the vertices, and information indicating the normal direction of the surface.

  When the measurement operation information 402 in FIG. 16 is input, the extraction unit 311 extracts the surface S1 and the surface S2 as the identification information of the measurement location, and extracts geometry information corresponding to the surface S1 and the surface S2 from the shape data 401. . The extraction unit 311 determines that the element at the measurement location is a surface based on the geometry information, and extracts the item number “2” corresponding to “surface” from the element table in FIG. 6. Then, the extraction unit 311 adds the item number “2, 2” as the combination of the elements in the bottom row of the measurement operation feature table of FIG.

  Next, the extraction unit 311 obtains a relative positional relationship between the element and the three-dimensional model based on the geometry information (step 1110), and whether an arrangement condition corresponding to the obtained positional relationship exists in the arrangement condition table. It is checked whether or not (step 1111). If the arrangement condition corresponding to the obtained positional relationship exists in the arrangement condition table (step 1111, YES), the extraction unit 311 adds the arrangement condition to the measurement operation feature table (step 1112).

  For example, when it is determined in step 1109 that the element at the measurement location is a surface, the extraction unit 311 determines that “there is an element in the outer periphery of the model” as the arrangement condition corresponding to the element “2” from the arrangement condition table in FIG. And “there is an element inside the model”. Then, using the geometric information of the surfaces S1 and S2, the relative positional relationship between the surfaces S1 and S2 and the entire three-dimensional model is calculated and compared with the extracted arrangement conditions.

  In this example, as shown in FIG. 19, since one or more vertices of the surface S1 and one or more vertices of the surface S2 exist in the outer peripheral portion of the model, an arrangement that “there is an element in the outer peripheral portion of the model” It is determined that the condition is met. Therefore, the extraction unit 311 adds the item number “1” corresponding to “there is an element in the outer peripheral part of the model” as the arrangement condition of the bottom row of the measurement operation feature table of FIG.

  Next, the extraction unit 311 adds the relative positional relationship between the two elements to the measurement operation feature table based on the geometry information (step 1113 in FIG. 13).

  For example, the extraction unit 311 obtains the relative positional relationship between the surface S1 and the surface S2 from the geometric information of the surface S1 and the surface S2 in FIG. In this case, the normal direction 1901 of the surface S1 and the normal direction 1902 of the surface S2 are opposite directions, the surface closest to the surface S1 is the surface S2, and the surface closest to the surface S2 is the surface S1. I understand.

  Therefore, the extraction unit 311 refers to the element relationship in the element relationship table in FIG. 7 in which the element number 1 and the element number 2 are both the item number “2” corresponding to the surface, and “ Extract the normal direction and the closest surface. The extraction unit 311 then sets the item number “1” corresponding to “normal direction is true opposite” and the item number corresponding to “nearest surface” as the relationship of the elements in the bottom row of the measurement operation feature table of FIG. Add “4”.

  Next, the extraction unit 311 adds the measurement value measured by the measurement operation to the measurement operation feature table based on the measurement operation information 402 (step 1114).

  When the measurement operation information 402 in FIG. 16 is input, the extraction unit 311 extracts the measurement value “5 mm” from the measurement operation information 402 and sets “5 mm” as the measurement value in the bottom row of the measurement operation feature table in FIG. to add. Thus, the entry in the bottom row of the measurement operation feature table in FIG. 18 is generated.

  If the placement condition corresponding to the positional relationship does not exist in the placement condition table in step 1111 (step 1111, NO), the extraction unit 311 performs the processing after step 1113 without adding the placement condition to the measurement operation feature table. .

  Next, a model measurement process performed by the model measurement apparatus 101 in FIG. 3 will be described with reference to FIGS. 20 to 33.

  20 to 23 are flowcharts showing examples of model measurement processing. First, the operator inputs the shape data of the three-dimensional model to be measured to the input unit 301, and the input unit 301 stores the input shape data as the shape data 401 in the storage unit 111 (step 2001 in FIG. 20). ).

  For example, when the assembly model of the product B as shown in FIG.

  Next, the operator inputs a measurement operation for the three-dimensional model to the input unit 301, and the input unit 301 stores the measurement operation information 403 corresponding to the input measurement operation in the storage unit 111 (step 2002).

  For example, when the operator measures the shortest distance between the surface S3 of the component model V and the surface S4 of the component model W included in the assembly model of FIG. 24, the measurement operation information 403 as illustrated in FIG. Entered. Then, the measurement unit 112 measures the shortest distance between the surfaces S3 and S4 according to the measurement operation information 403, and stores the measurement value “6 mm” of the shortest distance in the storage unit 111 as a part of the measurement operation information 403.

  Next, the reproduction unit 313 extracts shape data of the input three-dimensional model from the shape data 401 (Step 2003), and extracts a combination of shapes from the measurement operation feature table (Step 2004). Then, the reproduction unit 313 transfers the extracted three-dimensional model shape data and the combination of shapes to the search unit 312 (step 2005). The search unit 312 searches for a shape similar to the combination of shapes from the shapes included in the three-dimensional model, and transfers the search result to the reproduction unit 313 (step 2006).

  The search unit 312 can search for a shape similar to a certain shape using, for example, the information search method described in Patent Document 2. In this case, the search unit 312 calculates the similarity between the feature quantity of the shape included in the three-dimensional model and the feature quantity of the shape included in the measurement operation feature table, and when the similarity is greater than or equal to a predetermined value, It is determined that the two shapes are similar.

  When the three-dimensional model in FIG. 24 is input, the reproduction unit 313 transfers the shape data of the three-dimensional model and the combination of shapes included in the measurement operation feature table in FIG. Then, the search unit 312 extracts a combination of the component model V and the component model W that is similar to the combination of the shapes in the bottom row of the measurement operation feature table in FIG. 18 from the shapes included in the three-dimensional model in FIG. Then, it is transferred to the reproduction unit 313 as a search result. In this case, the search result includes the combination of the component model V and the component model W and information indicating the entry in the bottom row of the measurement operation feature table in FIG.

  Next, the reproduction unit 313 extracts a combination of elements corresponding to the search result from the measurement operation feature table (step 2007), and generates an element name list including element names corresponding to the extracted combination of elements (step 2007). 2008).

  When the search result indicates the entry in the bottom row of the measurement operation feature table in FIG. 18, the reproduction unit 313 extracts the element combination “2, 2” from the entry, and extracts the item number “from the element table in FIG. The element name “face” corresponding to “2” is extracted. Then, the reproducing unit 313 generates an element name list as shown in FIG. The element name list in FIG. 26 includes the item number “2” and the element name “face” in the element table in FIG. 6 corresponding to the extracted combination of elements.

  Next, the reproduction unit 313 extracts geometry information corresponding to the element name included in the element name list from the geometry information included in the shape data of the three-dimensional model, and generates an element extraction list including the extracted geometry information. (Step 2009). Then, the reproduction unit 313 checks whether or not the geometry information of all the elements corresponding to the element names included in the element name list has been extracted (step 2010), and if there is an unextracted element (step 2010, NO) ), The process of step 2009 is repeated.

  When the element name list of FIG. 26 is generated, the reproduction unit 313 generates an element extraction list as shown in FIG. 27 including the geometry information of all the faces included in the shape data of the three-dimensional model. Each entry in the element extraction list of FIG. 27 includes the item number “2” of the element table of FIG. 6 and the geometry information of each face. The geometry information of each face includes the coordinates of a plurality of vertices and the connection between the vertices. Contains information and surface normal direction.

  When the geometry information of all elements is extracted (step 2010, YES), the reproduction unit 313 extracts one or more arrangement conditions corresponding to the search result from the measurement operation feature table (step 2011 in FIG. 21). Then, the reproduction unit 313 generates an arrangement condition list including the extracted arrangement conditions (Step 2012).

  When the search result indicates the entry in the bottom row of the measurement operation feature table in FIG. 18, the reproduction unit 313 extracts the arrangement condition “1” from the entry. Next, the reproduction unit 313 extracts the arrangement condition “there is an element in the outer periphery of the model” and the element “2” corresponding to the item number “1” from the arrangement condition table in FIG. Then, the reproducing unit 313 generates an arrangement condition list as illustrated in FIG. 28 including the arrangement condition “there is an element in the outer periphery of the model” and the element “2”.

  Next, the reproduction unit 313 extracts one entry from the arrangement condition list (step 2013), and extracts geometry information corresponding to the element of the extracted entry from the element extraction list (step 2014).

  Next, the reproduction unit 313 extracts geometry information corresponding to the arrangement condition of the extracted entry from the extracted geometry information (step 2015), and checks whether the corresponding geometry information is extracted (step 2016). ). If the corresponding geometry information is extracted (step 2016, YES), the reproduction unit 313 adds the geometry information to the arrangement condition match list (step 2017).

  When the arrangement condition list of FIG. 28 is generated, the reproduction unit 313 extracts the arrangement condition “there is an element in the outer periphery of the model” and the element “2”, and the item number “2” is extracted from the element extraction list of FIG. Geometry information corresponding to “is extracted. Next, the reproduction unit 313 obtains a relative positional relationship between the extracted geometry information and the three-dimensional model, and extracts geometry information corresponding to the arrangement condition “there is an element in the outer periphery of the model”. Then, an arrangement condition matching list as shown in FIG. 29 including the extracted geometry information is generated.

  Next, the reproduction unit 313 checks whether or not all entries in the arrangement condition list have been extracted (step 2018). If there is an unextracted entry (step 2018, NO), the processing from step 2013 is repeated. . When the geometry information corresponding to the arrangement condition is not extracted (step 2016, NO), the reproduction unit 313 performs the processing after step 2018.

  When all the entries in the arrangement condition list have been extracted (step 2018, YES), the reproduction unit 313 extracts element relationships corresponding to the search results from the measurement operation feature table (step 2019 in FIG. 22). Then, the reproduction unit 313 extracts element relationships and elements corresponding to the extracted element relationships from the element relationship table, and generates an element relationship list including the extracted element relationships and elements (step 2020). .

  When the search result indicates the entry at the bottom of the measurement operation feature table in FIG. 18, the reproduction unit 313 extracts the element relationship “1, 4” from the entry. Next, the reproduction unit 313 obtains, from the element relation table in FIG. 7, the element relation “normal line is true reverse”, element 1 “2”, and element 2 “2” corresponding to the item number “1”. Extract. Further, the reproduction unit 313 extracts the element relationship “closest plane”, the element 1 “2”, and the element 2 “2” corresponding to the item number “4” from the element relationship table in FIG. Then, an element relation list as shown in FIG. 30 including the extracted element relation, element 1 and element 2 is generated.

  Next, the reproduction unit 313 extracts one entry from the element relation list (step 2021), and extracts geometry information corresponding to element 1 and element 2 of the extracted entry from the arrangement condition match list (step 2022). . Then, the reproducing unit 313 generates a geometry information combination list including the extracted combination of geometry information.

  Next, the reproduction unit 313 narrows down the combination of geometry information included in the geometry information combination list to a combination corresponding to the relationship between the extracted entry elements (step 2023).

  When the element relation list in FIG. 30 is generated, the reproduction unit 313 extracts the element relation “normal is true reverse”, element 1 “2”, and element 2 “2” of the first entry. , The geometry information corresponding to the item number “2” is extracted from the arrangement condition matching list of FIG. In this case, all pieces of geometry information in the arrangement condition match list in FIG. 29 are extracted. Then, the reproducing unit 313 generates a geometry information combination list including a combination of geometry information corresponding to the item number “2”.

  Next, the reproduction unit 313 leaves the combination of geometric information corresponding to the element relationship “normal is true reverse”, deletes the combination of geometric information that does not correspond to “normal is true reverse”, and Narrow down the combinations. Thereby, a geometry information combination list as shown in FIG. 31 is generated.

  Next, the reproduction unit 313 checks whether or not the narrowed-down geometry information combination list is empty (step 2024). If the geometry information combination list is empty (step 2024, YES), the process ends. . On the other hand, when the geometry information combination list is not empty (step 2024, NO), the reproduction unit 313 checks whether all entries in the element relation list have been extracted (step 2025).

  When there is an unextracted entry (step 2025, NO), the reproduction unit 313 extracts the next entry from the element relation list (step 2026). Next, the reproduction unit 313 narrows the combinations of the geometry information included in the geometry information combination list to combinations corresponding to the element 1 and the element 2 of the extracted entry (Step 2027). Then, the reproduction unit 313 repeats the processing from step 2023 onward.

  When the second entry in the element relation list in FIG. 30 has not been extracted, the reproduction unit 313 has the element relation “closest plane”, element 1 “2”, and element 2 “2” of the second entry. And extract. Then, the reproduction unit 313 narrows down the geometry information combination list in FIG. 31 to combinations of the item number “2” and the item number “2”. In this case, all combinations of geometry information in the geometry information combination list of FIG. 31 are left.

  Then, the reproduction unit 313 leaves the combination of geometry information corresponding to the element relationship “closest surface”, deletes the combination of geometry information not corresponding to “closest surface”, and further narrows down the combination of geometry information.

  When such processing is repeated and all entries in the element relation list are extracted (step 2025, YES), the reproduction unit 313 extracts a measurement type corresponding to the search result from the measurement operation feature table (FIG. 23). Step 2028). Then, the reproduction unit 313 extracts a measurement type corresponding to the extracted measurement type from the measurement type table (step 2029).

  When the search result indicates the entry at the bottom of the measurement operation feature table in FIG. 18, the reproduction unit 313 extracts the measurement type “1” from the entry, and the item number “1” from the measurement type table in FIG. The measurement type “shortest distance” corresponding to “is extracted.

  Next, the reproduction unit 313 extracts one entry from the geometry information combination list (step 2030), and measures the measurement target amount of the extracted measurement type using the combination of the geometry information of the extracted entries (step 2031). ). Then, the reproduction unit 313 outputs, via the output unit 113, information for inquiring whether to display a difference between the measurement result based on the measurement operation information 403 and the measurement result based on the measurement operation feature table.

  Here, the measurement result based on the measurement operation information 403 represents the result of the measurement performed according to the measurement operation information 403 in step 2002. On the other hand, the measurement result based on the measurement operation feature table represents the result of the measurement performed in accordance with the measurement operation reproduced based on the measurement operation feature table in Step 2031. The reproduction unit 313 checks whether or not the instruction input by the worker in response to the inquiry is an instruction to display the difference (Step 2032).

  When the input instruction is an instruction to display the difference (step 2032, YES), the reproduction unit 313 compares the measurement result based on the measurement operation information 403 and the measurement result based on the measurement operation feature table (step). 2034). The reproduction unit 313 generates display information indicating both measurement results when there is a difference between the two measurement results, and displays the measurement result based on the measurement operation feature table when there is no difference between the two measurement results. Generate information. At this time, the reproduction unit 313 may extract a measurement value corresponding to the search result from the measurement operation feature table and include the measurement value in the display information.

  On the other hand, when the input instruction is an instruction not to display the difference (step 2032, NO), the reproduction unit 313 generates display information indicating the measurement result based on the measurement operation feature table (step 2033). At this time, the reproduction unit 313 may extract a measurement value corresponding to the search result from the measurement operation feature table and include the measurement value in the display information.

  Next, the reproduction unit 313 checks whether or not all entries in the geometry information combination list have been extracted (step 2035). If there is an unextracted entry (step 2035, NO), the processing after step 2030 is performed. repeat. When all entries in the geometry information combination list are extracted (step 2035, YES), the reproduction unit 313 outputs the generated display information to the output unit 113 (step 2036). As a result, the measurement result indicated by the display information is displayed on the screen.

  When an instruction to display the difference is input, for example, a measurement result as shown in FIG. 32 is displayed. FIG. 32 shows the measurement results for the three-dimensional model of FIG. 24, and the measured value 3201 and the measured value 3203 represent the measured value of the gap in the spigot part. The measurement value 3202 represents the measurement value of the wall thickness, and the measurement values 3204 to 3207 represent the measurement values of the boss pitch.

  “6 mm” of the measurement value 3201 corresponds to the measurement result based on the measurement operation information 403, and “5 mm” of the measurement value 3201 corresponds to the measurement result based on the measurement operation feature table. For example, when the measurement operation characteristic table indicates the characteristics of the measurement operation of the skilled worker, the operator has a measurement value “6 mm” measured by himself different from the measurement value “5 mm” based on the measurement operation of the skilled worker. I can recognize that.

  The measurement value 3204 and the measurement value 3205 correspond to the measurement result based on the measurement operation information 403, and the measurement value 3202, the measurement value 3203, the measurement value 3206, and the measurement value 3207 correspond to the measurement result based on the measurement operation feature table. . Therefore, the operator can recognize that the measurement location measured by himself / her is different from the measurement location based on the measurement operation of the expert.

  On the other hand, when an instruction not to display the difference is input, for example, a measurement result as shown in FIG. 33 is displayed. The measured value 3301 in FIG. 33 corresponds to “5 mm” of the measured value 3201 in FIG. In this case, only the measurement result based on the measurement operation feature table is displayed, and the measurement result based on the measurement operation information 403 is not displayed.

  In step 2033 and step 2034, it is also possible to output information for inquiring about the verification item and generate display information indicating only the measurement result corresponding to the verification item selected by the operator.

  In step 2006 in FIG. 20, the search unit 312 includes a partial shape similar to the partial shape registered in the measurement operation feature table, instead of searching for a shape similar to the shape registered in the measurement operation feature table. It is also possible to search for shapes. Therefore, a process in which the model measurement apparatus 101 in FIG. 3 measures a three-dimensional model using a partial shape will be described with reference to FIGS.

  FIG. 34 and FIG. 35 are flowcharts showing an example of a partial shape registration process for registering partial shape information as measurement operation feature information 406. This partial shape registration process is performed instead of the process of step 1105 of FIG. 11 in the feature information generation process of FIGS. 11 to 13.

  First, the extraction unit 311 extracts measurement operation information of one component model from the measurement operation information 402 (step 3401 in FIG. 34), and based on the extracted measurement operation information of the component model, the component model is extracted from the shape data 401. Shape data is extracted (step 3402).

  Next, the extraction unit 311 extracts element information of the measurement part from the measurement operation information of the extracted part model (step 3403). Based on the extracted element information, the element of the measurement part is extracted from the shape data of the part model. Is extracted (step 3404).

  For example, when the measurement operation information 402 in FIG. 16 is input, as illustrated in FIG. 36, the extraction unit 311 extracts the measurement operation information 3601 of the part model X from the measurement operation information 402 and the part from the measurement operation information 3601. Model X shape data 3602 is extracted. The extraction unit 311 extracts element information 3603 indicating the surface S1 from the measurement operation information 3601, and extracts shape data 3604 of a partial shape including the surface S1 from the shape data 3602 of the part model X.

  At this time, the extraction unit 311 can extract the shape data 3604 of the partial shape by cutting the shape data 3602 of the part model X with a broken line 3711 as shown in FIG. 37, for example.

  Next, the extraction unit 311 registers the shape data of the part model and the shape data of the partial shape in the shape table included in the measurement operation feature information 406 (step 3405 in FIG. 35), and the registered shape data information is registered. Registration in the measurement operation feature table (step 3406).

  When the shape data 3602 of the part model X and the shape data 3604 of the partial shape are extracted, the extraction unit 311 uses the shape of the part model X as the overall shape of the item number “1” in the shape table as illustrated in FIG. Data 3602 is registered. Then, the extraction unit 311 registers the shape data 3604 of the partial shape as the partial shape of the item number “1”, and, as shown in FIG. 39, the shape table item is used as the combination information of the shape of the measurement operation feature table. The number “1” is registered.

  Next, the extraction unit 311 checks whether or not the measurement operation information of all the component models has been extracted from the measurement operation information 402 (step 3407). If there is an unextracted component model (step 3407, NO), The processing after step 3401 is repeated. When the measurement operation information of all the component models is extracted (step 3407, YES), the extraction unit 311 performs the processing after step 1106 in FIG.

  When the measurement operation information 402 in FIG. 16 is input, the extraction unit 311 extracts the measurement operation information of the component model Y from the measurement operation information 402, and the component model Y as illustrated in FIG. 37 from the extracted measurement operation information. Shape data 3701 is extracted. Then, the extraction unit 311 extracts element information indicating the surface S2 from the extracted measurement operation information, and extracts shape data 3702 of a partial shape including the surface S2 from the shape data 3701 of the part model Y. At this time, the extraction unit 311 can extract the shape data 3702 of the partial shape by cutting the shape data 3701 of the component model Y with a broken line 3712, for example.

  Next, the extraction unit 311 registers the shape data 3701 of the part model Y as the overall shape of the item number “2” in the shape table of FIG. 38 and the shape data of the partial shape as the partial shape of the item number “2”. 3702 is registered. Then, the extraction unit 311 registers the item number “2” of the shape table as information on the shape combination of the measurement operation feature table of FIG.

  40 to 42 are flowcharts showing an example of partial shape search processing for searching for a partial shape similar to the partial shape registered in the shape table. This partial shape search process is performed instead of the process of step 2006 in FIG. 20 in the model measurement process in FIGS.

  First, the search unit 312 extracts one item number from the combination of shapes transferred from the reproduction unit 313 (step 4001 in FIG. 40), and the overall shape and partial shape corresponding to the extracted item number from the shape table. Are extracted (step 4002). Then, the search unit 312 searches for one or more similar shapes that are similar to the extracted overall shape from the shapes included in the three-dimensional model transferred from the reproduction unit 313 (step 4003).

  Next, the search unit 312 extracts one similar shape from the one or more searched similar shapes (step 4004 in FIG. 41), and searches for similar partial shapes that are similar to the extracted partial shape from the extracted similar shapes. (Step 4005). Then, the search unit 312 adds the obtained similar partial shape to the partial shape list in the storage unit 111 (step 4006).

  The search unit 312 can search for a partial shape similar to a certain partial shape using, for example, the information search method described in Patent Document 2. In this case, the search unit 312 calculates the similarity between the feature amount of the partial shape included in the similar shape and the feature amount of the partial shape extracted from the shape table, and when the similarity is equal to or greater than a predetermined value, It is determined that the partial shapes are similar.

  Next, the search unit 312 checks whether or not all similar shapes have been extracted from one or more similar shapes (step 4007). If there is an unextracted similar shape (step 4007, NO), step 4004 is performed. The subsequent processing is repeated. If all similar shapes have been extracted (step 4007, YES), the search unit 312 checks whether all item numbers have been extracted from the combination of shapes (step 4008 in FIG. 42).

  When there is an unextracted item number (step 4008, NO), the search unit 312 repeats the processing after step 4001 and when all the item numbers are extracted (step 4008, YES), the search unit 312 has a partial shape. The list is transferred to the reproduction unit 313 (step 4009).

  For example, when the shape data of the three-dimensional model in FIG. 24 and the shape combination “1, 2” in FIG. 39 are transferred from the reproduction unit 313, the search unit 312 selects items from the shape combination “1, 2”. Number “1” and item number “2” are extracted one by one.

  When the item number “2” is extracted, the search unit 312 extracts shape data 3701 of the part model Y, which is the entire shape corresponding to the item number “2”, from the shape table, as shown in FIG. In addition, the search unit 312 extracts shape data 3702 of the partial shape corresponding to the item number “2”.

  Next, the search unit 312 searches for a similar shape similar to the overall shape of the component model Y from the three-dimensional model of FIG. 24, and extracts the component model W as a similar shape. Then, the search unit 312 searches for a similar partial shape similar to the partial shape from the component model W using the shape data 4301 of the component model W and the shape data 3702 of the partial shape. The shape data 4311 and the shape data 4312 represent the shape data of the two similar partial shapes that have been searched. The search unit 312 adds shape data 4311 and shape data 4312 of similar partial shapes to the partial shape list as shown in FIG.

  Similarly, the search unit 312 searches for a similar shape similar to the part model X corresponding to the item number “1” from the three-dimensional model of FIG. 24, and corresponds to the item number “1” from the similar shape. A similar partial shape similar to the partial shape to be searched is searched. Then, the search unit 312 adds the shape data of the searched similar partial shape to the partial shape list.

  The reproducing unit 313 can use the shape data of the partial shape included in the partial shape list transferred from the search unit 312 in place of the shape data of the three-dimensional model in the processing after step 2009 in FIG. For example, in step 2009, the reproduction unit 313 extracts geometry information from shape data of partial shapes included in the partial shape list, and generates an element extraction list including the extracted geometry information.

  In this way, by using the partial shape to search for a shape similar to the shape included in the measurement operation feature table, it becomes possible to narrow down the geometry information to be measured in more detail, and the operator can The workload for determining necessity is reduced.

  By the way, in Step 2004 of FIG. 20, the reproduction unit 313 can extract a combination of shapes from the measurement operation feature table using the verification condition 405. Therefore, a configuration and operation for measuring a three-dimensional model using the verification condition 405 will be described with reference to FIGS. 45 to 52.

  FIG. 45 shows a specific example of the model measurement apparatus 101 that measures a three-dimensional model using the verification condition 405. The measurement unit 112 in FIG. 45 has a configuration in which a determination unit 4501 is added to the measurement unit 112 in FIG.

  FIG. 46 shows an example of information stored in the storage unit 111 of FIG. The storage unit 111 in FIG. 46 stores a verification condition 4601 in addition to the information stored in the storage unit 111 in FIG. The verification condition 4601 represents the verification condition input by the operator in the model measurement processing of FIGS. 20 to 23, and includes, for example, a verification item list as shown in FIG. The verification item list in FIG. 49 includes a plurality of verification items.

  The determination unit 4501 compares the verification condition 405 with the verification condition 4601 and transfers the comparison result to the reproduction unit 313.

  47 and 48 are flowcharts showing an example of a shape extraction process that extracts a combination of shapes by comparing the verification condition 405 and the verification condition 4601. FIG. This shape extraction process is performed instead of the process of step 2004 of FIG. 20 in the model measurement process of FIGS.

  First, the worker inputs a verification item list including one or more verification items to the input unit 301 (step 4701 in FIG. 47), and the input unit 301 stores the input verification item list as a verification condition 4601. The data is stored in the unit 111 (step 4702). Then, the reproduction unit 313 transfers the verification item list to the determination unit 4501 (Step 4703).

  Next, the determination unit 4501 extracts one verification item from the verification item list (step 4704), and extracts a keyword from the extracted verification item (step 4705). The determination unit 4501 can extract keywords using a technique such as morphological analysis.

  For example, when the verification item list in FIG. 49 is input and the verification item “periphery gap size is 3 mm or more” is extracted, as shown in FIG. 50, the determination unit 4501 uses the keyword “ Extract "outer periphery", "gap", "dimension", and "greater than".

  Next, the determination unit 4501 extracts a verification item including the extracted keyword from the verification item table included in the verification condition 405 (step 4706), and adds it to the extracted verification item list (step 4707 in FIG. 48).

  For example, when the storage unit 111 stores the verification item table of FIG. 9, the determination unit 4501 displays the verification item “all” including the extracted keywords “periphery”, “gap”, “dimension”, and “above”. “Extract the clearance dimension of the outer peripheral part to 5 mm or more” is extracted. 51 shows the correspondence between the item numbers and verification items in the verification item table of FIG. 9 and keywords.

  Then, the determination unit 4501 adds the extracted verification item “make the gap size of the outer peripheral portion 5 mm or more” and the item number “1” of the verification item to the extracted verification item list as shown in FIG. To do.

  Next, the determination unit 4501 checks whether or not all verification items have been extracted from the verification item list (step 4708). If there is an unextracted verification item (step 4708, NO), the processing after step 4704 is performed. repeat. When all the verification items are extracted (step 4708, YES), the determination unit 4501 transfers the extracted verification item list to the reproduction unit 313 (step 4709).

  As shown in FIG. 50, the keywords “claw”, “gap”, and “more” are extracted from the verification item “gap between claw portions is 3 mm or more” in the verification item table of FIG. Further, from the verification item “The packing crushing amount is secured to 5 mm”, the keywords “packing”, “crushing”, “amount”, and “secure” are extracted. Further, from the verification item “screw fitting length of 10 mm or more is secured”, the keywords “screw”, “fit”, “length”, and “secure” are extracted. Then, based on the correspondence relationship in FIG. 51, the extraction verification item list in FIG. 52 is generated and transferred to the reproduction unit 313.

  Next, the reproduction unit 313 extracts a feature corresponding to the verification item included in the extraction verification item list from the measurement operation feature table (step 4710), and extracts a combination of shapes from the extracted feature (step 4711).

  When the extracted verification item list of FIG. 52 is transferred, the reproduction unit 313 extracts features corresponding to the verification item “1” and the verification item “2” from the measurement operation feature table of FIG. Extract a combination of shapes.

  The reproduction unit 313 can use a combination of shapes corresponding to the extraction verification item list in place of all the combinations of shapes included in the measurement operation feature table in the processing after step 2005 in FIG.

  Thus, by extracting the combination of shapes by comparing the verification condition 405 and the verification condition 4601, it becomes possible to narrow down the combination of shapes to be measured in more detail. The work load for judging is reduced.

  The configuration of the model measurement apparatus 101 in FIGS. 1, 3, and 45 is merely an example, and some components may be omitted or changed according to the application and conditions of the model measurement apparatus 101. For example, when the shape data 401, the measurement operation information 402, the measurement operation information 403, the feature definition information 404, the verification condition 405, and the verification condition 4601 are stored in the storage unit 111 in advance, the input unit 301 may be omitted. it can. Further, when the measurement operation feature information 406 is generated in advance and stored in the storage unit 111, the extraction unit 311 can be omitted.

  The three-dimensional model shown in FIGS. 14 and 24 is merely an example, and may be changed according to the use and conditions of the model measuring apparatus 101. For example, instead of the assembly model of FIG. 14 or FIG. 24, an assembly model including three or more part models may be used as a three-dimensional model, or a single part model may be used as a three-dimensional model.

  4 to 10, 16 to 18, 25 to 31, 38, 39, 44, 46, and 49 to 52 are merely examples, and the model measurement apparatus 101 has various information. You may abbreviate | omit or change according to a use or conditions. For example, one or more of the measurement type table of FIG. 5, the element table of FIG. 6, the element relation table of FIG. 7, the arrangement condition table of FIG. 8, or the verification item table of FIG. Also good. Also, some of the information registered in these tables or the verification item list in FIG. 49 may be omitted or changed.

  The measurement operation information in FIGS. 16 and 25 changes according to the three-dimensional model to be measured and the measurement operation by the operator.

  In the measurement operation feature table of FIG. 10, FIG. 18, or FIG. 39, the verification item may be omitted, and the measurement type, element combination, element relationship, shape combination, arrangement condition, or measurement value included in the feature may be omitted. Any one or more pieces of information may be omitted.

  The flowcharts of FIGS. 2, 11 to 13, 20 to 23, 34, 35, 40 to 42, 47, and 48 are merely examples, and the configuration and conditions of the model measurement apparatus 101 are the same. Some processing may be omitted or changed accordingly. For example, when the verification item is omitted from the measurement operation feature table, the processing of step 1101 and step 1104 in FIG. 11 can be omitted.

  When the measurement type is omitted from the measurement operation feature table, the processing of step 1106 in FIG. 11 and steps 2028 and 2029 in FIG. 23 can be omitted. When omitting the relationship of elements from the measurement operation feature table, the processing of Step 1113 in FIG. 13 and Step 2019 to Step 2027 in FIG. 22 can be omitted. When the arrangement condition is omitted from the measurement operation feature table, the processing in steps 1110 to 1112 in FIG. 12 and steps 2011 to 2018 in FIG. 21 can be omitted. When the measurement value is omitted from the measurement operation feature table, the process of step 1114 in FIG. 13 can be omitted.

  In the model measurement processing of FIGS. 20 to 23, when the operator does not perform the measurement operation of the three-dimensional model, the processing of Step 2002 of FIG. 20 and Steps 2032 and 2034 of FIG. 23 can be omitted. When the measurement operation feature information 406 is generated in advance and stored in the storage unit 111, the feature information generation processing of FIGS. 11 to 13 can be omitted.

  The model measuring apparatus 101 in FIGS. 1, 3, and 45 can be realized by using an information processing apparatus as shown in FIG. 53, for example.

  53 includes a central processing unit (CPU) 5301, a memory 5302, an input device 5303, an output device 5304, an auxiliary storage device 5305, a medium driving device 5306, and a network connection device 5307. These components are connected to each other by a bus 5308.

  The memory 5302 is a semiconductor memory such as a read only memory (ROM), a random access memory (RAM), or a flash memory, and stores programs and data used for processing. The memory 5302 can be used as the storage unit 111.

  For example, the CPU 5301 (processor) executes a program using the memory 5302 to thereby measure the measurement unit 112, the extraction unit 311, the search unit 312, the reproduction unit 313, and the determination unit illustrated in FIGS. 1, 3, and 45. It operates as 4501.

  The input device 5303 is, for example, a keyboard, a pointing device, or the like, and is used for inputting an instruction or information from a user or an operator. The output device 5304 is, for example, a display device, a printer, a speaker, or the like, and is used for outputting an inquiry to a user or an operator and a processing result. The processing result includes information indicating the measurement result of the three-dimensional model, and the output device 5304 can be used as the output unit 113.

  The auxiliary storage device 5305 is, for example, a magnetic disk device, an optical disk device, a magneto-optical disk device, a tape device, or the like. The auxiliary storage device 5305 includes a hard disk drive. The information processing apparatus can store programs and data in the auxiliary storage device 5305 and load them into the memory 5302 for use. The auxiliary storage device 5305 can be used as the storage unit 111.

  The medium driving device 5306 drives the portable recording medium 5309 and accesses the recorded contents. The portable recording medium 5309 is a memory device, a flexible disk, an optical disk, a magneto-optical disk, or the like. The portable recording medium 5309 includes a compact disk read only memory (CD-ROM), a digital versatile disk (DVD), a universal serial bus (USB) memory, and the like. A user or an operator can store programs and data in the portable recording medium 5309 and load them into the memory 5302 for use.

  As described above, the computer-readable recording medium for storing the program and data used for processing includes physical (non-transitory) media such as the memory 5302, the auxiliary storage device 5305, and the portable recording medium 5309. A recording medium is included.

  The network connection device 5307 is a communication interface that is connected to a communication network such as a local area network (LAN) or the Internet and performs data conversion accompanying communication. The network connection device 5307 can be used as the output unit 113.

  The information processing apparatus can receive a processing request from the user terminal via the network connection apparatus 5307 and transmit information indicating the measurement result of the three-dimensional model, which is the processing result, to the user terminal. The information processing apparatus can receive a program and data from an external apparatus via the network connection apparatus 5307 and load them into the memory 5302 for use.

  Note that the information processing apparatus does not have to include all the components shown in FIG. 53, and some of the components can be omitted depending on the application and conditions. For example, when the information processing apparatus receives a processing request from the user terminal via the communication network, the input device 5303 and the output device 5304 may be omitted.

  Although the disclosed embodiments and their advantages have been described in detail, those skilled in the art can make various modifications, additions and omissions without departing from the scope of the present invention as explicitly set forth in the claims. Let's go.

Regarding the embodiment described with reference to FIGS. 1 to 53, the following additional notes are disclosed.
(Appendix 1)
A storage unit for storing measurement operation feature information indicating characteristics of a measurement operation for measuring the first shape included in the first three-dimensional model; and shape data of the second three-dimensional model;
A second shape similar to the first shape is extracted from the second three-dimensional model using the shape data of the second three-dimensional model, and the second shape is extracted based on the measurement operation feature information. A measuring unit for measuring the shape;
An output unit for outputting a measurement result of the second shape;
A model measuring apparatus comprising:
(Appendix 2)
The measurement operation feature information includes a type of the measurement target amount of the first shape, and the measurement unit measures the measurement target amount of the second shape corresponding to the type of the measurement target amount. The model measuring apparatus according to appendix 1.
(Appendix 3)
The measurement operation feature information includes information indicating a combination of the first shape and a third shape included in the first three-dimensional model, and the measurement unit includes the first shape and the third shape. The combination of the second shape and the fourth shape included in the second three-dimensional model corresponding to the combination with the shape of the second shape is extracted, and between the second shape and the fourth shape The model measuring apparatus according to appendix 1, characterized by measuring a measurement target amount.
(Appendix 4)
The measurement operation feature information further includes information indicating a positional relationship between the first shape and the third shape, and the measurement unit is provided between the second shape and the fourth shape. The combination of the second shape and the fourth shape is extracted when the positional relationship corresponds to the positional relationship between the first shape and the third shape. The model measuring device described.
(Appendix 5)
The measurement unit measures the second shape based on a measurement operation for measuring the second shape, and the output unit measures the second shape based on the measurement operation feature information. In addition, the model measurement apparatus according to any one of appendices 1 to 4, wherein a measurement result obtained by measuring the second shape is output based on a measurement operation for measuring the second shape.
(Appendix 6)
The storage unit further stores shape data of a first partial shape representing a part of the first shape, and the measurement unit is a plurality of units similar to the first shape from the second three-dimensional model. And extracting the second shape including the second partial shape similar to the first partial shape from the plurality of shapes using the shape data of the first partial shape. 6. The model measuring apparatus according to any one of appendices 1 to 5, wherein
(Appendix 7)
The measurement operation feature information includes a first verification condition applied to the measurement target amount of the first shape, and the measurement unit is applied to the measurement target amount of the second shape. 7. The model measurement apparatus according to any one of appendices 1 to 6, wherein the second shape is extracted when a second verification condition corresponds to the first verification condition.
(Appendix 8)
The model measurement according to appendix 7, wherein the measurement unit extracts the second shape when a keyword included in the second verification condition corresponds to a keyword included in the first verification condition. apparatus.
(Appendix 9)
A model measurement method executed by a computer,
With reference to a storage unit that stores measurement operation feature information indicating characteristics of the measurement operation for measuring the first shape included in the first three-dimensional model, and shape data of the second three-dimensional model,
Using the shape data of the second three-dimensional model, extracting a second shape similar to the first shape from the second three-dimensional model;
Measure the second shape based on the measurement operation feature information,
Outputting the measurement result of the second shape;
A model measurement method characterized by this.
(Appendix 10)
With reference to a storage unit that stores measurement operation feature information indicating characteristics of the measurement operation for measuring the first shape included in the first three-dimensional model, and shape data of the second three-dimensional model,
Using the shape data of the second three-dimensional model, extracting a second shape similar to the first shape from the second three-dimensional model;
Measure the second shape based on the measurement operation feature information,
Outputting the measurement result of the second shape;
A program that causes a computer to execute processing.

101 Model Measurement Device 111 Storage Unit 112 Measurement Unit 113 Output Unit 301 Input Unit 311 Extraction Unit 312 Search Unit 313 Reproduction Unit 401, 3602, 3604, 3701, 3702, 4301, 4311, 4312 Shape Data 402, 403, 3601 Measurement Operation Information 404 Feature definition information 405, 4601 Verification condition 406 Measurement operation feature information 3201-3207, 3301 Measurement value 3603 Element information 3711, 3712 Dashed line 5301 CPU
5302 Memory 5303 Input device 5304 Output device 5305 Auxiliary storage device 5306 Medium drive device 5307 Network connection device 5308 Bus 5309 Portable recording medium

Claims (8)

A storage unit for storing measurement operation feature information indicating characteristics of a measurement operation for measuring the first shape included in the first three-dimensional model; and shape data of the second three-dimensional model;
A second shape similar to the first shape is extracted from the second three-dimensional model using the shape data of the second three-dimensional model, and the second shape is extracted based on the measurement operation feature information. A measuring unit for measuring the shape;
An output unit for outputting a measurement result of the second shape;
A model measuring apparatus comprising:   The measurement operation feature information includes a type of the measurement target amount of the first shape, and the measurement unit measures the measurement target amount of the second shape corresponding to the type of the measurement target amount. The model measuring apparatus according to claim 1.   The measurement operation feature information includes information indicating a combination of the first shape and a third shape included in the first three-dimensional model, and the measurement unit includes the first shape and the third shape. The combination of the second shape and the fourth shape included in the second three-dimensional model corresponding to the combination with the shape of the second shape is extracted, and between the second shape and the fourth shape The model measurement apparatus according to claim 1, wherein the measurement target amount is measured.   The measurement unit measures the second shape based on a measurement operation for measuring the second shape, and the output unit measures the second shape based on the measurement operation feature information. The model measurement apparatus according to claim 1, wherein a measurement result obtained by measuring the second shape is output based on a measurement operation for measuring the second shape.   The storage unit further stores shape data of a first partial shape representing a part of the first shape, and the measurement unit is a plurality of units similar to the first shape from the second three-dimensional model. And extracting the second shape including the second partial shape similar to the first partial shape from the plurality of shapes using the shape data of the first partial shape. The model measurement apparatus according to claim 1, wherein the model measurement apparatus is a model measurement apparatus.   The measurement operation feature information includes a first verification condition applied to the measurement target amount of the first shape, and the measurement unit is applied to the measurement target amount of the second shape. The model measurement apparatus according to claim 1, wherein the second shape is extracted when a second verification condition corresponds to the first verification condition. A model measurement method executed by a computer,
With reference to a storage unit that stores measurement operation feature information indicating characteristics of the measurement operation for measuring the first shape included in the first three-dimensional model, and shape data of the second three-dimensional model,
Using the shape data of the second three-dimensional model, extracting a second shape similar to the first shape from the second three-dimensional model;
Measure the second shape based on the measurement operation feature information,
Outputting the measurement result of the second shape;
A model measurement method characterized by this. With reference to a storage unit that stores measurement operation feature information indicating characteristics of the measurement operation for measuring the first shape included in the first three-dimensional model, and shape data of the second three-dimensional model,
Using the shape data of the second three-dimensional model, extracting a second shape similar to the first shape from the second three-dimensional model;
Measure the second shape based on the measurement operation feature information,
Outputting the measurement result of the second shape;
A program that causes a computer to execute processing.

Images