WO2022075220A1

WO2022075220A1 - Design assistance system and design assistance method

Info

Publication number: WO2022075220A1
Application number: PCT/JP2021/036450
Authority: WO
Inventors: 絵里香片山; 誠小野寺; 勇気板林
Original assignee: 株式会社日立製作所
Priority date: 2020-10-06
Filing date: 2021-10-01
Publication date: 2022-04-14
Also published as: JP2022061245A; JP7454480B2

Abstract

Provided is a product design assistance system for causing a computer to check the conformity of a CAD model of a product to guidelines on the basis of a determination rule. The computer includes a controller and a memory. The controller, through execution of a program stored in the memory, forms: a geometry recognition function defining unit that sets a function for recognizing the form of the CAD model and generates the determination rule; a parameter adjustment unit that adjusts a parameter on the basis of the check result for the CAD model and sets the adjusted parameter in the function; a rule checking unit that checks the CAD model on the basis of the function in which the adjusted parameter is set, to identify a design violation; and an output unit that outputs the check result to a notification device.

Description

Design support system and its method

The present invention relates to a design support system and its method.

In recent years, product design using CAD (Computer-Aided Design) has been widely used. The guidelines for CAD design include, for example, rules from the viewpoint of ease of processing such as drilling and bending, ease of assembly such as welding and screw fastening, and ease of inspection and access to jigs. It contains many compliance items such as rules from the viewpoint of product maintenance such as ease of use.

Therefore, it has been proposed that a computer equipped with CAD checks some or all of these rules and automatically determines whether or not a design error exists in the CAD model in light of the guidelines. For example, Patent Document 1 discloses a system that executes a program including a combination of a plurality of functions according to a rule and notifies the designer when the CAD model does not satisfy the threshold value.

Japanese Unexamined Patent Publication No. 2008-234011

However, in order for the computer to be able to check the CAD model based on the rules, it is necessary to appropriately set parameters and threshold values in the function, but the system according to Patent Document 1 also discloses this. I haven't suggested it either. Therefore, an object of the present invention is to provide a product design support system and a method thereof that can correctly check whether the CAD model is configured in conformity with the guideline.

One of the representative design support systems of the present invention is a product design support system that causes a computer to check that the CAD model of the product conforms to the guideline based on a judgment rule. The computer is a controller. And a memory, the controller sets a function for recognizing the form of the CAD model by executing the program stored in the memory, and a geometric recognition function definition unit that generates a judgment rule, and CAD. A parameter adjustment unit that adjusts parameters based on the model check results and sets them in the function, and a rule check that checks the CAD model based on the function and identifies design violations with the adjusted parameters set. A unit and an output unit for outputting the check result to the notification device are formed.

According to the present invention, a design support system that streamlines checks is provided by constructing and evolving new judgment rules that can be applied to various forms of CAD models that are different from the conventional ones, such as including newly adopted parts. Can be provided.

It is a functional block diagram for demonstrating the check function of the design support system which concerns on Example 1 of this invention. It is a flowchart which shows the procedure of the check operation in the design support system of FIG. It is a functional block diagram which shows the relationship between the check function in the design support system of FIG. 1 and the hardware which realizes them. It is a figure which visualizes and exemplifies the CAD model to be checked in the design support system of FIG. It is a flowchart which shows the operation procedure of the parameter adjustment part and the rule check part in the design support system of FIG. This is an example of evaluation data stored in the parameter evaluation DB referred to during the check operation in the design support system of FIG. 1. It is a figure which visualizes and exemplifies the CAD model to be checked in the design support system which concerns on Example 2 of this invention. It is a functional block diagram for demonstrating the check function of the design support system which concerns on Example 2 of this invention. It is a flowchart which shows the operation procedure of the parameter adjustment part and the rule check part in the design support system of FIG. It is a figure which visualizes and exemplifies the correct answer data of the check result with respect to the CAD model of FIG. 7 in the design support system of FIG.

Hereinafter, the design support system according to the embodiment of the present invention will be described with reference to the drawings. In the first embodiment, the case where the determination rule is quantified will be described with reference to FIGS. 1 to 7. In the second embodiment, the case where the unquantified determination rule is quantified will be described with reference to FIGS. 8 to 10.

In the first embodiment, a method of estimating the input parameters in each function for the quantified judgment rule will be described. FIG. 1 is a functional block diagram for explaining a check function of the design support system according to the first embodiment of the present invention. The judgment rule is a rule that can be checked on a computer, and is a rule that can detect a design error from a CAD model being processed by a three-dimensional CAD system.

As shown in FIG. 1, the design support system 10 has a design guideline 1, a judgment rule definition unit 2, a CAD model (CAD data) 3, and a geometry recognition function database (hereinafter, "geometry recognition function DB") as its check functions. 4. Geometric recognition function module definition unit (hereinafter referred to as "geometric recognition function definition unit") 5, parameter evaluation DB 6, parameter adjustment unit 7, rule check unit 8, check result display unit 9, and shape feature quantity extraction unit. It is configured with 16.

These functions are a function formed by the computer constituting the design support system 10 executing a program, and a DB formed in a storage unit (memory) included in the computer. The basic drawing function in the design support system 10 is not shown in FIG. 1, and the description thereof will be omitted.

Design guideline 1 includes design rules such as specifications of manufacturing equipment and tools, ease of assembly, processing limits, laws and regulations, and standards such as JIS. For example, in addition to defining the positions of the ends of mechanical parts and bending to holes, the design guideline 1 includes accessibility of manufacturing tools and the like.

The judgment rule definition unit 2 is provided with an interface for defining a judgment rule to be verified on the CAD model 3. In this interface, the user refers to or incorporates the rules in the design guideline 1, and determines from the user interface for defining the design elements and the rules in the design guideline 1 based on the user input accumulated in the past. Contains an interface for defining rules. The CAD model 3 is checked by the design support system 10 by applying a determination rule.

In the geometric recognition function DB4, a group of procedural functions (hereinafter referred to as "common functions") for recognizing the geometric shape included in the CAD model 3 is collected, and a group of newly generated functions is also recorded. There is. Common functions can be called individually on a computer and are basic elements for recognizing geometric shapes, including the function of measuring distance. A specific example of the common function will be described later. Further, the hardware of the computer constituting the design support system 10 will be described later with reference to FIG.

Design guideline 1 has a large number of rules to check. This design guideline 1 is defined in the determination rule definition unit 2. Further, by extracting and combining the common function of the geometric recognition function DB4 with respect to the design guideline 1 to be checked defined in the judgment rule definition section 2, the geometric recognition function module definition section (hereinafter, "geometric recognition function definition section"). A judgment rule that can be checked in 5 is generated. The geometric recognition function definition unit 5 is a function of setting a function for recognizing the form of a CAD model by executing a program by a computer constituting the design support system 10 and constructing a judgment rule for automatic check. ..

The parameter evaluation DB 6 stores information indicating the correlation between the common function input to the geometric recognition function definition unit 5 and the parameters suitable for the common function, and the evaluation result obtained by the check. Here, the parameter to be set is, for example, a quantitative value represented by a search range and a reference dimension, but is not limited to this.

Further, the evaluation result of the check includes, for example, the set value of the parameter for determining the geometric shape specified in the above-mentioned common function, the check time T described later using FIG. 6, and the accuracy of specifying the violation site. be. Further, information showing the correlation between the check evaluation result represented by the large amount of noise N, the check time T, and the set value of the parameter is stored in the parameter evaluation DB 6.

The rule check unit 8 inputs a common function and suitable parameters thereof, and checks the CAD model 3 to be checked. The common function used here is a component of the geometric recognition function defined in the geometric recognition function definition unit 5. As the parameters suitable for the common function, the optimum parameters acquired by the parameter adjustment unit 7 by searching the parameter evaluation DB 6 are used so as to enhance the evaluation of the check result. Further, from the check result of the rule check unit 8, evaluation results represented by the correct answer rate R and the check time T can be obtained.

The check result display unit 9 highlights the identified violation location and informs the designer. Further, the check result display unit 9 feeds back the obtained evaluation result to the next check by updating the information with respect to the geometric recognition function DB4 and the parameter evaluation DB6. That is, the design support system 10 continues to evolve appropriately so that the determination rule is updated based on the evaluation of the check result and the scope of application can be expanded.

When the input shape feature amount represented by the dimension or shape of the CAD model 3 has a strong correlation with the parameter set value, the feature amount is extracted from the CAD model 3 by the shape feature amount extraction unit 16 and the parameter adjustment unit 7 is used. It can also be an input. The shape feature amount referred to here includes, for example, the minimum (maximum) plate thickness included in the CAD model 3, the distribution of the dimensions of parts, and feature information, but is not limited thereto.

FIG. 2 is a flowchart showing the procedure of the check operation in the design support system 10 of FIG. Steps S1 to S8 shown in FIG. 2 are examples of design support methods, and are designed by a computer equipped with a controller 22 (FIG. 3) and a memory (storage unit) by applying determination rules to

CAD models

3 and 30. It is an operation procedure to extract the above violation part. These steps S1 to S8 are procedures for a check operation mainly executed by the controller 22 of the computer constituting the design support system 10. Hereinafter, the main body of operation without a subject is the controller 22 of the computer, and more specifically, each functional unit formed therein.

With the start of the check, in the CAD model (data) reading step S1, the controller 22 reads the CAD model 3 to be checked into the storage unit. In the judgment rule definition step S2, the judgment rule to be checked is defined based on the design guideline 1. That is, it is defined as a judgment rule whether or not it is a violation for each design element. In the common function storage step S3, the controller 22 stores the common function used for verification for each defined design element in the geometric recognition function DB (storage unit) 4.

In the function definition step S4, the judgment rule definition unit 2 of the controller 22 queries the geometric recognition function DB4, and is optimal for identifying the violation part of the CAD model 3 from the judgment rules defined in the judgment rule definition step S2. Search and define common functions. As described above, in step S4, the optimum common function defined in step S2 and stored in step S3 is searched from the geometric recognition function DB4, and the acquired optimum common function is combined, based on the determination rule. Build a geometric recognition function for automatic checking.

Here, as specific examples of the common function, a geometric feature search function such as searching for a hole or an end, a shape feature amount calculation function such as measuring the distance between faces, and a shape generation function such as face creation or point creation are performed. , It is equipped with a numerical calculation function that calculates four arithmetic operations and maximum and minimum values, but it is not limited to this.

In the evaluation result correlation storage step S5, the controller 22 stores the correlation between the parameter input to the common function and the evaluation result of evaluating the check result including at least the correct answer rate R or the calculation time T in the parameter evaluation DB 6. .. In step S5, the parameter evaluation DB 6 stores, for example, the correlation between the numerical value of the parameter corresponding to the input of the common function defined by the function and the evaluation result such as the correct answer rate R and the check time T of the check result. There is.

In the parameter adjustment step S6, the parameter adjustment unit 7 inquires about the parameter evaluation DB 6 stored in the parameter evaluation DB 6, and inputs and adjusts the common function searched based on the evaluation result and suitable parameters thereof. That is, in step S6, the parameter adjusting unit 7 adjusts the parameters input to the common function to appropriate values. The parameter processed in step S6 may be of one type, but usually there are a plurality of types.

In the check result evaluation step S7, the determination rule generated by inputting the parameters adjusted by the parameter adjustment unit 7 in step S6 into the common function defined by the geometric function definition unit 5 in step S4 is applied to the

CAD models

3 and 30. , Evaluate the check result. In this step S7, the CAD is based on the determination rule constructed by inputting the function stored in the geometric recognition function DB4 in step S3 and the parameter value stored in the parameter evaluation DB 6 in step S5 into the parameter adjustment unit 7. Check model 3. In step S7, the result of the check is evaluated. As the evaluation index of the check evaluation, the above-mentioned correct answer rate R and the calculation time T can be mentioned, but the present invention is not limited to these.

If the evaluation result in step S7 does not satisfy the desired correct answer rate R or calculation time T (No), the parameter values are adjusted again in step S6. When the evaluation of the check result satisfies the correct answer rate R and the calculation time T (Yes), the process proceeds to the check result display step S8, the check result is displayed, and the check ends. Through the above flow, a check method is established in which leakage F and noise N are reduced from the check result and the calculation time T is also shortened.

FIG. 3 is a functional block diagram showing the relationship between the check functions in the design support system 10 of FIG. 1 and the hardware that realizes them. In FIG. 3, the design support system 10 is composed of a controller 22 which is a computer including an input unit 20 and a display unit 21. The input unit 20 and the display unit 21 provide the user with an operation environment using a GUI (graphical user interface).

A control unit 23, an input interface (hereinafter, input I / F) 24, a display control unit 25, a main storage device 26, and an auxiliary storage device 27 are connected to the controller 22 via a data bus 28. The control unit 23 is the center of the controller 22 in the design support system 10, and controls all of the drawing function (not shown) and the check function. In particular, the control unit 23 as a check function operates as if the geometric recognition function definition unit 5 causes the parameter adjustment unit 7 to generate a checkable rule, and the rule check unit 8 automatically checks the rule. However, the division of functions between the control unit 23 and the geometric recognition function definition unit 5 is for convenience of explanation, and is not limited thereto. The input I / F 24 takes in the CAD model and the determination rule input from the input unit 20. The display control unit 25 controls the display unit 21.

The main storage device 26 stores a CAD model 3, a design guideline 1, a determination rule definition unit 2, a parameter adjustment unit 7, a rule check unit 8, and information and programs for functioning these. The auxiliary storage device 27 stores information and programs of the geometric recognition function DB4 and the parameter evaluation DB6.

Note that a part or all of the hardware of the controller 22 as a computer may be replaced with a DSP (Digital Signal Processor), FPGA (Field-Programmable Gate Array), GPU (Graphics Processing Unit), or the like. Further, a part or all of the hardware may be centrally or distributed in the cloud on the servers on the network, and may be shared by a plurality of users via the network.

FIG. 4 is a diagram that visualizes and exemplifies the CAD model 3 to be checked in the design support system 10 of FIG. The CAD model 3 shown in FIG. 4 is obtained by extracting a part of a product fixed to another part by a bolt 33 via a fixing jig 32 for fixing the pipe 31. The design support system 10 automatically checks whether the bolt insertion holes have appropriate dimensions for the bolts 33.

FIG. 5 is a flowchart showing the operation procedure of the parameter adjusting unit 7 and the rule checking unit 8 in the design support system 10 of FIG. More specifically, FIG. 5 shows an operation procedure in which the design support system 10 automatically checks the bolt holes in the CAD model 3 shown in FIG. In the present embodiment, the geometric recognition function definition unit 5 is uniquely determined, and the operation flow of the parameter adjustment unit 7 and the rule check unit 8 is shown together. However, the modules constituting the geometric recognition function definition unit 5 can be changed as appropriate. However, it is not limited to this.

First, when the check is started, the initial values of the parameters are set in step S11. Then, in step S12, the bolt is recognized on the CAD model 3. As the bolt recognition method in step S12, the bolt may be specified from the shape, but it is preferable that the shape feature amount extraction unit 16 recognizes the bolt by utilizing the part name and the attribute information.

That is, since it is possible to automatically extract how many bolts of which size are included in the CAD model 3, it is desirable to utilize such information. In step S13, the central axis of the bolt is generated. In step S14, the hole included in the CAD model 3 is searched, and in step S15, the hole in the vicinity of the bolt is specified.

In step S16, the hole diameter of the hole obtained in step S15 is measured, and the hole diameter is determined in step S17. Here, if there is no violation (No), the check ends. If there is a violation (Yes), it is evaluated whether or not the result detected as a violation in step S18 is a correct answer, and the process proceeds to the correct answer rate evaluation step S19. In step S19, when the evaluation result represented by the correct answer rate R or the check time T of the detection result satisfies the predetermined performance (Yes), the check ends.

On the other hand, if the evaluation result in step S19 does not satisfy the predetermined performance (No), the process returns to the parameter setting step S11. In step S11, the parameter evaluation DB 6 (FIGS. 1 and 3) is queried and the parameters are reset. This is repeated, and when the correct answer rate R and the check time T satisfy the target performance for the check (Yes), the check is completed and the violation portion is highlighted (not shown).

FIG. 6 is an example of evaluation data stored in the parameter evaluation DB 6 referred to during the check operation in the design support system 10 of FIG. FIG. 6 is a graph showing the evaluation results obtained by executing the hole search function, that is, the hole recognition step S14 of FIG. 5 for the CAD model 3 of FIG. Further, FIG. 6 also shows the hole detection result 43. The horizontal axis of FIG. 6 indicates the ratio of the hole search reference hole diameter / maximum bolt diameter from 0 to 10. The left vertical axis of FIG. 6 is the bolt hole correct answer rate R (%), and indicates how much the correct answer rate R (%) was detected for the bolt insertion hole from the check result. The right vertical axis of FIG. 6 is the dimensionless calculation time T, which indicates the time required for the check. The characteristic 41 in FIG. 6 represents the relationship between the reference hole diameter and the bolt hole accuracy rate R in the hole search function. The characteristic 42 of FIG. 6 represents the relationship between the reference hole diameter and the bolt hole correct answer rate R time T in the hole search function.

FIG. 6 will be described in more detail. The ratio shown on the horizontal axis of FIG. 6 is the ratio of the hole search reference hole diameter and the maximum bolt diameter, which are input parameters set in the hole recognition step S14, and if the ratio is double the maximum bolt diameter M10, the hole search is performed. The reference hole is 20 mm, and if the ratio is 10 times, the hole search reference hole is 100 mm. The technical significance of the "hole search reference hole diameter / maximum bolt diameter" shown on the horizontal axis of FIG. 6 is that the "hole through which the bolt penetrates is in the range of 〇 mm to Δ mm larger than the bolt diameter" described later in the [Supplement] column. Based on design guidelines such as ". As a judgment rule based on the design guideline to be checked, whether or not it is a violation is defined for each design element. One of the parameters to be input to the common function constituting this determination rule is shown on the horizontal axis of FIG.

FIG. 6 shows that the evaluation of the check result by the judgment rule generated by the common function changes depending on the parameter input to the common function. That is, FIG. 6 shows the correlation between the arbitrarily input parameters and the evaluation of the check results. The correlation of the evaluation results is stored in the parameter evaluation DB 6 as a parameter evaluation and is used as a reference from the parameter adjustment unit 7. The parameter adjustment unit 7 adjusts the parameters so that a high evaluation can be obtained based on the evaluation of the referenced check result. In FIG. 6, the higher the bolt hole accuracy rate R, the smaller the dimensionless calculation time T, the check omission F, and the noise N, the higher the evaluation.

The bolt hole correct answer rate R shown on the left vertical axis of FIG. 6 means that there is a lot of noise N when the number of detected holes is larger than the number of correct answers, and the value obtained by dividing the number of correct answers by the number of detected holes (matching). Rate) is the correct answer rate R. On the other hand, when the number of detected holes is less than the number of correct answers, it means that leakage F has occurred, and the value (reproducibility) obtained by dividing the number of detected holes by the number of correct answers is the correct answer rate R. Here, evaluation indexes such as a recall rate representing leakage F and a matching rate representing a large amount of noise N may be applied separately, and the evaluation index of the check result is not limited to this.

In the hole search function shown in the hole recognition step S14 and the bolt neighborhood hole search step S15, if the reference hole diameter is increased, the range of holes to be acquired also increases and the calculation time T becomes longer. In addition, pipes with a large hole diameter and the like are also acquired, and noise N, which is not a bolt hole, increases. On the other hand, if the reference hole diameter is reduced, the calculation time T is shortened, but a leakage F of the bolt hole occurs, which causes a check omission F.

In the above-mentioned hole search function (S14, S15), it can be seen that about twice the maximum bolt diameter Dmax included in the CAD model 3 to be checked is the optimum value this time. In the example of FIG. 6, the method of searching for the optimum value for one parameter is shown, but the parameter may be a plurality of types or an input parameter commonly input to a plurality of common functions.

In the second embodiment, with respect to the design rule for which the judgment rule is not quantified, a method of determining the input parameter and the threshold value of the common function and constructing the judgment rule will be described using the data whose violation points are known from the past design data. do.

FIG. 7 is a diagram illustrating and exemplifying the CAD model (CAD data) 30 to be checked in the design support system 20 according to the second embodiment of the present invention. That is, FIG. 7 shows a part of the CAD model 30 targeted in Example 2. Here, the bolt 33 penetrates the bolt-penetrating part 14 having a bend, and there is a design guideline 1 that "checks whether or not a space for inserting a tool for fastening the bolt is secured".

When constructing a judgment rule that can be checked on the CAD model 30 from this design guideline 1, it is difficult for a computer to automatically and accurately reproduce and evaluate the shape and operating range of the tool. Therefore, in the design support system 20, a method is adopted in which a shape simulating the insertion space of the fastening tool is created on the upper part of the hexagonal portion of the bolt 33, and if other parts do not interfere with this space, it is evaluated as acceptable. As a result, the shape is simulated with a cylinder.

Here, if the size of the evaluation cylinder is set large, a large number of interference parts will be detected with respect to the evaluation cylinder, and the noise N will increase. On the other hand, if the size of the evaluation cylinder is set small, interference with other parts with respect to the evaluation cylinder cannot be specified, and a check omission F occurs. Therefore, in the design support system 20, correct answer data is created based on the positions where the bolts could be fastened and the positions where the bolts could not be fastened in the past manufacturing data, and the check result is collated with the correct answer data, and the fastening tool is used. Adjust the dimensions of the insertion space, ie the evaluation cylinder.

FIG. 8 is a functional block diagram for explaining the check function of the design support system 20 according to the second embodiment of the present invention. As shown in FIG. 8, among the check functions of the design support system 20, the design guideline 1, the judgment rule definition unit 2, the geometric recognition function DB 4, the geometric recognition function definition unit 5, the parameter evaluation DB 6, the parameter adjustment unit 7, and the rule check. The unit 8 and the check result display unit 9 are common to the design support system 10 according to the first embodiment shown in FIG.

Here, the CAD model (CAD data) 30 to be checked is the one described above using FIG. 7. In the design support system 20, the correct answer data for the presence or absence of violation created from the CAD model 30 based on the past manufacturing data described above, that is, the correct answer data 17 to be checked is input to the parameter adjustment unit 7. Here, the parameter adjustment unit 7 adjusts the parameters quickly and accurately using the correct answer data 17 to be checked.

FIG. 9 is a flowchart showing the operation procedure of the parameter adjusting unit 7 and the rule checking unit 8 in the design support system 20 of FIG. FIG. 9 shows an operation procedure for checking for harmful interference with the bolt fastening tool insertion space. That is, the parameter setting in step S11 and the bolt recognition in step S12 in the second embodiment shown in FIG. 9 are the same as those in the first embodiment shown in FIG. Next, in step S21 of FIG. 9, a cylinder for evaluation is created above the hexagonal head with a bolt. Here, the shape of the tool is simulated by a cylinder, but the shape is not limited to this shape, and a rectangular parallelepiped, a cone, or a semicircle may be used.

Next, in step S22, a part near the bolt is searched. Next, in step S23, it is checked whether or not there is interference between the parts near the bolt and the evaluation cylindrical surface. Next, if it is determined in step S24 that there is interference (Yes), the process proceeds to step S25, and if it is determined that there is no interference (No), the check ends. In step S25, whether the check result is correct as a violation point or not is evaluated by collating the correct answer data.

Next, in step S26, if there is a discrepancy between the check result and the correct answer data (No), the process proceeds to step S27. In step S27, the parameter adjusting unit 7 inquires about the parameter evaluation DB 6 and adjusts the parameters, and then returns to step S11 to reset the parameters. When this series of flow is repeated and the discrepancy between the check result and the correct answer data becomes the minimum, it is regarded as OK in step S26 (Yes), and the value of the parameter is determined. As a result, the value of the determined parameter is input to the common function, the determination rule composed of the common function is applied, and the check for the CAD model 30 is completed.

FIG. 10 is a diagram illustrating and exemplifying the correct answer data of the check result for the CAD model 30 of FIG. 7 in the design support system 20 of FIG. FIG. 10 shows a constraint condition (bad sample) 12 in which a tool cannot be inserted, and an evaluation cylinder 13 displaying a condition for obtaining a good judgment (good sample). Here, the design state related to the bolt to which the bolt tool has not been inserted is set as the constraint condition 12 in the check target correct answer data 17 (FIG. 8).

The dimensions of the evaluation cylinder surface 11 can be determined by the parameter adjustment unit 7 so that the constraint condition 12 and the evaluation cylinder 13 that cannot be inserted by the tool can be detected. Here, the larger the number of correct answer data, the higher the accuracy of parameter estimation, and usually several hundreds are required, but the present invention is not limited to this. From the above, the design support system 20 can automatically check the rules of the unquantified design guideline 1 in the parameter adjustment unit 7 by utilizing the past actual data.

[supplement]
In CAD design, it is desirable to comply with the design guidelines. For example, as design guidelines related to ease of assembly, there are ease of processing such as drilling and bending, and ease of assembly such as welding and screw fastening, which are problems in product manufacturing. In addition to the ease of inspection, which is a problem during product maintenance, design guidelines that specify the ease of procurement of jigs used for them and the ease of compatibility with jigs are also exemplified.

For example, in relation to the "hole search reference hole diameter / maximum bolt diameter ratio" shown on the horizontal axis of FIG. 6, "the hole through which the bolt penetrates shall be in the range of 〇 mm to Δ mm larger than the bolt diameter". There are design guidelines. Here, if the design guideline such as "the hole through which the bolt is penetrated should be in the range of 〇 mm to △ mm larger than the bolt diameter" is applied, functions such as bolt and hole search and hole diameter measurement can be combined. By constructing a rule, automatic check becomes possible.

However, even with the same guideline, the size and structure differ depending on the product type, so it is necessary to change the search range and shape dimensions according to the product type. For example, in the case of the function of searching for a hole, if the dimension of the reference hole diameter is set, a hole smaller than the reference hole diameter is searched. Here, if the reference hole diameter is set smaller than the bolt diameter included in the CAD model, the bolt insertion hole leaks from the check target and does not play a role of finding a design error from the CAD model.

On the other hand, if the reference value of the hole diameter to be searched around the bolt is set large, the calculation time required for the search will increase, and a large hole other than the bolt insertion hole will be detected and noise will be generated. Noise is an output that does not meet the desired answer. In this way, in each function for creating judgment rules, it takes time to set frequent trial and error until input parameter values (also simply referred to as "parameters") represented by ranges and dimensions are set. Was required.

On the other hand, there are some unquantified rules in the design guidelines, such as "securing a space for the tool to fasten the bolts". In that case, it is necessary to estimate not only the input parameters in each function of the check process but also the threshold value used for the determination.

The design support systems (this system) 10 and 20 according to the embodiment of the present invention can be summarized as follows.
[1] In the

systems

10 and 20, the computer equipped with the controller 22 and the menu executes the program stored in the memory (storage unit), so that the

CAD models

3 and 30 of the product conform to the guideline. It is a product design support system that lets a computer check based on the judgment rule. The controller 22 forms a geometric recognition function definition unit 5, a parameter adjustment unit 7, a rule check unit 8, and an output unit.

The geometric recognition function definition unit 5 sets a function for recognizing the form of the CAD model and generates a judgment rule. The parameter adjustment unit 7 adjusts the parameters based on the check result of the CAD model and sets them in the function. That is, the parameter adjustment unit 7 is generated by inputting an arbitrary parameter into the common function so that a new design violation part can be extracted by a CAD model having various forms different from the conventional one, including newly adopted parts. The determination rule is applied to the

CAD models

3 and 30, and adjustments are made so as to improve the accuracy of the check result based on the evaluation of the check result of the rule check.

Check the CAD model based on the function with the adjusted parameters set to identify the design violation. That is, the rule check unit 8 inputs the parameters adjusted by the parameter adjustment unit 7 into the common function so as to correspond to various forms of CAD models different from the conventional ones including newly adopted parts, and the determination rule is determined. Check the rules. The output unit causes the check result display unit 9 to display the check result checked by the rule check unit 8. The

systems

10 and 20 configured in this way can be evolved by constructing new judgment rules that can be applied to various forms of CAD models different from the conventional ones, such as including newly adopted parts.

[2] In the

systems

10 and 20, it is preferable that the controller 22 further includes a determination rule definition unit 2, a geometric recognition function DB 4, and a parameter evaluation DB 6. The determination rule definition unit 2 defines as a determination rule whether or not it is a violation for each design element based on the design guideline 1 to be checked. The geometric recognition function DB4 stores a common function that constitutes a determination rule for each design element based on the design guideline 1.

Further, the geometric recognition function definition unit 5 can identify the violation points of the

CAD models

3 and 30 by the combination of the common functions obtained by querying the geometric recognition function DB 4 for the determination rule. Define a common function that composes the judgment rule in.

Further, the parameter evaluation DB 6 stores the correlation of the parameters with respect to the evaluation of the check result by the judgment rule generated by the common function in which an arbitrary parameter is input. That is, the parameter evaluation DB 6 stores the correlation of the parameters with respect to the check result by the judgment rule generated by inputting arbitrary parameters into the common function in the CAD model of various forms different from the conventional ones including newly adopted parts. do. That is, the parameter evaluation DB 6 stores the correlation between the parameter input to the common function and the evaluation result of evaluating the check result including at least the correct answer rate R or the calculation time T according to the parameter.

The

systems

10 and 20 solve the following first and second problems by newly constructing and evolving judgment rules.
1) As the first problem, it is desirable to shorten the time required for trial and error in determining the parameters constituting the judgment rule.
2) As the second problem, in order to construct and evolve the judgment rule for automatic check, it is necessary to estimate the parameter and the threshold value for quantifying the judgment rule and adjust them with higher accuracy.

In order to solve the first and second problems, the

systems

10 and 20 include a determination rule definition unit 2, a geometric recognition function DB 4, a geometric recognition function definition unit 5, a parameter evaluation DB 6, and a parameter adjustment unit 7. , A rule check unit 8 and a check result display unit 9 are further provided.

The judgment rule definition unit 2 defines as a judgment rule whether or not it is a violation for each design element. The geometric recognition function DB4 stores common functions constituting the determination rule. The geometric recognition function definition unit 5 defines the geometric recognition function DB 4 so that the violation portion of the CAD model 3 can be identified by the combination of the common functions obtained by inquiring the determination rule. The parameter evaluation DB 6 stores the correlation between the parameter input to the common function and the evaluation result of evaluating the check result including at least the correct answer rate R or the calculation time T according to the parameter.

The parameter adjustment unit 7 inquires of the parameter evaluation DB unit (storage unit) 6 and inputs and adjusts the common function searched based on the evaluation result and the parameters suitable for the common function. As a result, the

systems

10 and 20 can solve the first problem that it takes time for trial and error to determine the parameters constituting the determination rule. Further, in order to construct and evolve the judgment rule for automatic check in the

systems

10 and 20, it is necessary to estimate the parameter and the threshold value for quantifying the judgment rule and adjust them with higher accuracy. Can also solve the problem of.

The rule check unit 8 performs a rule check according to the determination rule generated by inputting the parameters adjusted by the parameter adjustment unit 7 into the function defined by the geometric recognition function definition unit 5. The check result display unit 9 causes the display unit 21 to display the check result checked by the rule check unit 8.

According to the

systems

10 and 20, the parameter that is the input of the geometric recognition function can be optimized in the parameter adjusting unit 7 for the dimensions and the threshold values that are different for each product. As a result, the

systems

10 and 20 have the effect of reducing noise N and check omission F from the check results for different dimensions and thresholds for each product, and shortening the calculation time T.

[3] The system 10 may further include a shape feature amount extraction unit 16. The shape feature amount extraction unit 16 can input the shape feature amount included in the CAD model 3 into the parameter adjustment unit 7 to further optimize the parameters. As a result, the system 10 can further enhance the effect of the above [2].

[4] In the present system 10 of the above [3], the shape feature amount extraction unit 16 extracts the dimensional information and the information representing the distribution of the parts included in the CAD model 3 as the shape feature amount, and the extracted shape feature amount. Is preferably input to the parameter adjustment unit 7. As a result, the present system 10 can be optimized for parameters according to various forms of CAD models different from the conventional ones, such as including newly adopted parts. As a result, the present system 10 can further enhance the effect of the above [3].

[5] In the present system 10 of the above [3], it is preferable to extract and clearly indicate the feature information included in the CAD model 3 as the shape feature amount. As a result, according to the present system 10, the parameters can be more precisely optimized by using the feature information extracted from the CAD model 3, so that the effect of the above [3] can be further enhanced.

[6] In the present system 10 of the above [3], it is preferable that the attribute information of the part is also specified in the shape feature amount. As a result, the present system 10 can more quickly optimize the parameters by using the attribute information extracted from the CAD model 3, so that the effect of the above [3] can be further enhanced.

[7] In the

systems

10 and 20 according to the second embodiment shown in FIG. 8, the parameter evaluation DB 6 has a correct answer rate R which is a ratio of noise N or check omission F included in the check result as shown in FIG. , Information showing the correlation with the parameter value is stored.

The parameter adjustment unit 7 can search the parameter evaluation DB 6 and search for and acquire the optimum parameter with a high evaluation shown in FIG. As a result, the

systems

10 and 20 can further enhance the effect of the above [2].

[8] In the

systems

10 and 20 of the above [2], the parameter evaluation DB 6 includes the evaluation result of the check time T required for the rule check and the parameter value as shown in FIG. Information indicating the correlation between and is stored. That is, according to an empirical rule or the like, the parameter values that can shorten the calculation time T and be advantageous are stored in advance in the parameter evaluation DB 6. According to the

systems

10 and 20 as described above, the parameter adjusting unit 7 reads out the optimum value of the parameter from the parameter evaluation DB 6 and applies it, so that among the effects of the above [2], the check time T, that is, the calculation time T. Can be further shortened and the determination of the parameters constituting the judgment rule can be expedited.

1 ... Design guideline, 2 ... Judgment rule definition unit, 3, 30 ... CAD model (CAD data), 4 ... Geometric recognition function DB, 5 ... Geometric recognition function definition unit, 6 ... Parameter evaluation DB, 7 ...

Parameter adjustment unit

7 , 8 ... Rule check unit, 9 ... Check result display unit, 10, 20 ... Design support system, 11 ... Bolt fastening tool insertion space evaluation cylinder, 12 ... Example of bolt position where correct answer data is violated, 13 ... Correct answer Example of bolt position that does not violate the data, 14 ... Parts through which the bolt penetrates, 16 ... Shape feature amount extraction unit, 17 ... Correct answer data (of the violation part) to be checked, 20 ... Input unit, 21 ... Display Unit, 22 ... controller, 23 ... control unit, 24 ... input interface, 25 ... display control unit, 26 ... main storage device, 27 ... auxiliary storage device, 28 ... data bus, 31 ... piping, 32 ... fixing jig, 33 ... Bolt, 41 ... Characteristics showing the relationship between the reference hole diameter and the bolt hole correct answer rate R in the hole search function, 42 ... Characteristics showing the relationship between the reference hole diameter and the bolt hole correct answer rate R time T in the hole search function, 43 ... Hole search result in the CAD model to be checked, Dmax ... maximum bolt diameter, R ... bolt hole correct answer rate, T ... check time (non-dimensional calculation time)

Claims

It is a design support system for the product that causes a computer to check that the CAD model of the product conforms to the guidelines based on the judgment rule.
The computer comprises a controller, a memory, and the like.
The controller executes a program stored in the memory.
A geometric recognition function definition unit that sets a function for recognizing the form of the CAD model and generates the judgment rule, and
A parameter adjustment unit that adjusts parameters based on the check results of the CAD model and sets them in the function.
A rule check unit that checks the CAD model based on the function in which the adjusted parameters are set and identifies a design violation point, and a rule check unit.
An output unit that outputs the check result to the notification device,
Form,
Design support system.
The controller
A judgment rule definition unit that defines whether or not it is a violation for each design element as the judgment rule,
A geometric recognition function DB in which common functions constituting the judgment rule are stored for each design element based on the design guideline to be checked, and
A parameter evaluation DB that stores the correlation of the parameters with respect to the evaluation of the check result by the determination rule generated by the common function in which an arbitrary parameter is input, and
Further prepare
The geometric recognition function definition unit configures the determination rule so that the violation point of the CAD model can be identified by the combination of the common functions obtained by inquiring the determination rule to the geometry recognition function. Define the function, define,
The parameter evaluation DB stores the correlation between the parameter input to the common function and the evaluation result of evaluating the check result including at least the correct answer rate or the calculation time according to the parameter.
The parameter adjusting unit searches for the parameter evaluation DB in order to identify the violation portion, and the correlation is improved so as to improve the accuracy of the check result based on the evaluation of the check result by the common function and the parameter. Adjust based on gender,
The design support system according to claim 1.
A shape feature amount extraction unit for inputting the shape feature amount included in the CAD model to the parameter adjustment unit to optimize the parameter is further provided.
The design support system according to claim 2.
The shape feature amount is information representing dimensional information and distribution of parts included in the CAD model.
The design support system according to claim 3.
The feature information included in the CAD model is also specified as the shape feature amount.
The design support system according to claim 3.
As for the shape feature amount, the attribute information of the part is also specified.
The design support system according to claim 3.
The parameter evaluation DB stores information indicating the correlation between the correct answer rate, which is the ratio of noise or check omission included in the check result, and the value of the parameter.
The design support system according to claim 2.
The parameter evaluation DB stores information indicating the correlation between the evaluation result of the check time required for the check and the value of the parameter.
The design support system according to claim 2.
It is a design support method in which a computer equipped with a controller and memory applies judgment rules to a CAD model to extract design violations.
By executing the program stored in the memory by the computer.
The controller
Define the common functions that make up the judgment rule,
The judgment rule generated by inputting an arbitrary parameter to the common function is applied to the CAD model, and the parameter is adjusted based on the evaluation of the check result of the rule check.
The check result according to the determination rule confirmed by inputting the adjusted parameter into the common function is displayed.
Design support method.
The controller
The CAD model reading step for reading the CAD model and
A judgment rule definition step that defines as the judgment rule whether or not it is a violation for each design element based on the design guideline to be checked, and
A common function storage step for storing the common function used for verification for each of the defined design elements in the memory, and a common function storage step.
A function definition step that queries the memory and searches for and defines the optimum common function for identifying the violation point of the CAD model from the judgment rules defined in the judgment rule definition step.
An evaluation result correlation storage step that stores the correlation between the parameters input to the common function and the evaluation result that evaluates the check result including at least the correct answer rate or the calculation time.
A parameter adjustment step that searches the memory to identify the violation location and adjusts based on the correlation so as to improve the accuracy of the check result by the extracted common function and the parameter.
Check result evaluation for evaluating the check result by applying the determination rule generated by inputting the parameter adjusted in the parameter adjustment step into the common function defined in the function definition step to the CAD model. Steps and
A check result display step for displaying the check result evaluated in the check result evaluation step, and a check result display step.
Have,
The design support method according to claim 9.
In the parameter adjustment step, the shape feature amount is extracted from the CAD model and used.
The design support method according to claim 10.
The shape feature amount is information representing dimensional information and distribution of CAD models having various forms different from the conventional ones, such as including newly adopted parts.
The design support method according to claim 11.
The shape feature amount is feature information or component attribute information.
The design support method according to claim 11.
In the parameter adjustment step, the optimum information among the information showing the correlation between the correct answer rate, which is the ratio of noise or check omission included in the check result, and the parameter input to the common function is read from the memory. To use
The design support method according to claim 10.
In the parameter adjustment step, among the information indicating the correlation between the evaluation result of the check time and the parameter input to the common function, the information having the optimum evaluation result is read from the memory and used.
The design support method according to claim 10.