JP4974796B2 - Display device and display method - Google Patents

Description

  The present invention relates to a display device and a display method for displaying three-dimensional shape data, and more particularly to a display device and a display method for grouping and displaying analysis results of three-dimensional shape data.

  When designing a specific part using CAD (Computer Aided Design), analysis such as stress analysis, mechanism analysis, or thermal fluid analysis is performed in order to evaluate the performance or quality of the part. For example, when verifying the strength of a part, after executing a stress analysis, the color corresponding to the magnitude of the stress is colored on the three-dimensional model, and the user rotates the coordinate axes of the colored three-dimensional model on the screen. While searching, look for and evaluate unique parts such as parts with high stress.

  In the design of mold parts, in order to grasp in advance the various product shape problems caused by the molding process of injection molding such as sink, warp, or short shot, using a three-dimensional model of the product at the design stage, At the design stage, it is necessary to grasp an unintended thin portion or thick portion.

  A thickness measuring method as a first conventional technique includes a point at which a normal line from a measurement point set on each surface represented by three-dimensional shape data of an object to be measured intersects an opposing surface, and the measurement point. Is the measured thickness. Then, the measured thickness value is displayed by color or text to make it easier to find the thick part and the thin part (for example, see Patent Document 1).

  The design apparatus as the second conventional technique generates an offset solid having a shape corresponding to a predetermined thickness from each surface to the inside of the 3D model for each surface of the 3D model. Of the constituent parts of the offset solid, a part not including the 3D model is created as a differential solid for each surface of the 3D model. When a difference solid is created, the contact surface, which is the surface where the difference solid and the 3D model contact, is a surface that forms a thin-walled portion, and the contact surface is displayed together with the 3D model as a 3D image. A thin portion having a thickness less than or equal to a reference thickness included in the model is displayed (for example, see Patent Document 2).

  The analysis result display program, which is the third conventional technique, generates an analysis mesh on an object using the coordinates of a large number of data points set on the three-dimensional object and the result value of the analysis calculation, for example, the finite element method. In this program, the result value obtained by calculating the stress value for each node is input, and the result value is displayed on the screen as a three-dimensional model. When the result value is displayed on the screen as a three-dimensional model, the space including the three-dimensional object is divided into a plurality of groups, and the result value at a plurality of data points included in each group for each divided group. The maximum value of is extracted as the maximum value in the group. Then, compare all the extracted maximum values in the group, identify the group that has the maximum value in the group, and display the view so that the specified group is displayed on the near side as much as possible on the screen. Adjust and display. It is possible to easily identify a notable part of the displayed three-dimensional object (see, for example, Patent Document 3).

JP 2004-310668 A JP 2002-063219 A JP 2004-295433 A

  In the first conventional technique described above, when a thick part and a thin part are found by a three-dimensional model displayed by color or by character for each measurement point, the user needs to check all the measurement points. In particular, in a three-dimensional shape having a repeating structure of the same shape such as a heat radiating hole or a rib, a result corresponding to “the number of measurement points belonging to one repeated shape × the number of repetitions” is displayed. Therefore, there is a problem that all measurement points must be checked even if the thickness is the same as in a repeated structure, and the check takes a long time. Further, in the first conventional technique, when the surface of the three-dimensional model is colored according to the analysis result, in order to find a part having a desired analysis result, an operation of rotating the coordinate axis of the three-dimensional model is performed. Since it is necessary to search for a color portion corresponding to a desired analysis result, it takes time. Further, in a complicated shape, there is a risk of overlooking a part that cannot be seen from the outside.

  The second conventional technique evaluates each surface. However, if there is a repeating structure, there is a problem that the number of repetitions must be evaluated as in the first conventional technique. Takes time.

  In the third conventional technique, a space including a three-dimensional object is divided into a plurality of groups, and a group including the maximum value of the result of analysis calculation is displayed as close as possible on the screen. This is to improve the drawbacks. However, for a three-dimensional model having a repeating structure, there are as many groups as the number of repetitions including the maximum value, and it is difficult to display all of them on the front side as much as possible on the screen. It is necessary to check once.

  An object of the present invention is to provide a display device and a display method capable of reducing the number of analysis results to be checked by a user for analysis results of three-dimensional shape data having a repetitive structure.

According to the present invention, three-dimensional shape data representing a three-dimensional shape model and analysis analyzed by a predetermined analysis procedure for each of a plurality of evaluation points on a surface constituting the three-dimensional shape model indicated by the three-dimensional shape data A storage unit for storing analysis result data representing the value of the result;
An extraction unit that extracts an evaluation point that satisfies a predetermined extraction condition from a value of the analysis result indicated by the analysis result data stored in the storage unit from the plurality of evaluation points;
For the evaluation points extracted by the extraction unit, for each closed plane constituting the three-dimensional shape model indicated by the three-dimensional shape data stored in the storage unit, of the evaluation points included in each closed plane, A closed plane grouping unit that groups evaluation points having the same value as a closed plane group;
Of the closed plane groups grouped by the closed plane grouping unit, the number of evaluation points included in each closed plane group is the same, and the analysis result value of the evaluation points included in each closed plane group A similar grouping unit for grouping closed plane groups whose average value is within a predetermined average value shift allowable range indicating the allowable range of average value shift as a similar group;
And a display unit that displays the value of the analysis result for each similar group grouped by the similar grouping unit.

Further, the present invention provides a normal vector of any one of normal vectors at an evaluation point included in one closed plane group among the closed plane groups grouped by the closed plane grouping unit, and another A neighborhood distance grouping unit for grouping closed plane groups whose distance from any one of the normal vectors at the evaluation points included in the closed plane group is less than a predetermined reference length as a neighborhood distance group; In addition,
The similar grouping unit includes:
Of the neighborhood distance groups grouped by the neighborhood distance grouping unit, the number of evaluation points included in each neighborhood distance group is equal, and the neighborhood distance group of the analysis result values of the evaluation points included in each neighborhood distance group A group of neighboring distances whose average value is within a predetermined second average value shift tolerance range indicating a tolerance range of the average value as a similar group,
Among the closed plane groups grouped by the closed plane grouping unit, each of the closed plane groups among the remaining closed plane groups excluding the closed plane group grouped into the neighborhood distance group by the neighborhood distance grouping unit. The closed plane group in which the number of evaluation points included in each of the closed plane groups is equal and the average value of the analysis results of the evaluation points included in each closed plane group is within the predetermined average value shift allowable range, It is characterized by grouping as a similar group.

In the invention, it is preferable that the normal vector includes an outward normal vector in an outward direction of a three-dimensional shape model forming a surface including an evaluation point of the normal vector, When there is an opposing surface that opposes the surface that includes the evaluation point of the outward normal vector, the length of the outward normal vector intersects with the opposing surface. Is the distance to the point to be
The value of the analysis result is the length of the outward normal vector;
The predetermined extraction condition is a condition determined by a length of the outward normal vector.

In the invention, it is preferable that the normal vector includes an inward normal vector inward of a three-dimensional shape model that forms a surface including an evaluation point of the normal vector, The length is the distance between the evaluation point of the inward normal vector and the intersection on the surface where the inward normal vector first intersects;
The value of the analysis result is the length of the inward normal vector;
The predetermined extraction condition is a condition determined by a length of the inward normal vector.

According to the present invention, the predetermined extraction condition includes a first extraction condition that a length of the inward normal vector is equal to or longer than a predetermined first length, and the inward normal vector A plurality of evaluation point extraction conditions including at least a second extraction condition that the length is equal to or shorter than the first length and less than a predetermined second length;
The extraction unit extracts an evaluation point for each of the plurality of evaluation point extraction conditions,
The closed plane grouping unit, the neighborhood distance grouping unit, and the similar grouping unit are grouped for each of the plurality of evaluation point extraction conditions,
The display unit displays the value of the analysis result for each similar group grouped by the similar grouping unit for each similar group grouped under each evaluation point extraction condition.

Further, the present invention is a display method executed by a display device including a storage unit, an extraction unit, a closed plane grouping unit, a similar grouping unit, and a display unit,
Analysis analyzed by the storage unit according to a predetermined analysis procedure for three-dimensional shape data representing a three-dimensional shape model and a plurality of evaluation points on a surface constituting the three-dimensional shape model indicated by the three-dimensional shape data A storage step of storing analysis result data representing the value of the result;
An extraction step for extracting an evaluation point that satisfies a predetermined extraction condition by the value of the analysis result indicated by the analysis result data stored in the storage step from the plurality of evaluation points by the extraction unit ;
The closed plane grouping unit includes the evaluation points extracted in the extraction process as targets, and includes each closed plane that constitutes the 3D shape model indicated by the 3D shape data stored in the storage process. A closed plane grouping step for grouping evaluation points having the same analysis result value among the evaluation points as a closed plane group;
Of the closed plane groups grouped in the closed plane grouping process by the similar grouping unit, the number of evaluation points included in each closed plane group is the same, and the analysis result of the evaluation points included in each closed plane group A similar grouping step of grouping closed plane groups whose average value for each closed plane group of values is within a predetermined average value shift tolerance indicating the allowable range of transition of the average value as a similar group;
And a display step for displaying the value of the analysis result for each similar group grouped in the similar grouping step by the display unit .

  According to the present invention, the storage unit analyzes the three-dimensional shape data representing the three-dimensional shape model and the plurality of evaluation points on the surface constituting the three-dimensional shape model indicated by the three-dimensional shape data in advance. Analysis result data representing the value of the analysis result analyzed by the procedure is stored, and the extraction unit extracts a predetermined analysis result value indicated by the analysis result data stored in the storage unit from the plurality of evaluation points. Evaluation points that satisfy the conditions are extracted.

  Then, the closed plane grouping unit applies the evaluation points extracted by the extraction unit to each closed plane for each closed plane constituting the 3D shape model indicated by the 3D shape data stored in the storage unit. Among the evaluation points included, evaluation points with the same analysis result value are grouped as a closed plane group, and each closed plane is selected from the closed plane groups grouped by the closed plane grouping unit by the similar grouping unit. The number of evaluation points included in the group is the same, and the average value for each closed plane group of the analysis result values of the evaluation points included in each closed plane group is a predetermined average value shift indicating the allowable range of the average value shift. Closed plane groups that are within tolerance are grouped as similar groups.

  Further, the display unit displays the analysis result value for each similar group grouped by the similar grouping unit. Therefore, it is possible to reduce the number of analysis results to be checked by the user for the analysis result of the three-dimensional shape having a repetitive structure, and the analysis result can be confirmed in a short time and reliably.

Further, according to the present invention, when the display device including the storage unit, the extraction unit, the closed plane grouping unit, the similar grouping unit, and the display unit executes the display method , the storage unit performs the three-dimensional shape in the storage process. Three-dimensional shape data representing a model and analysis result data representing a value of an analysis result analyzed by a predetermined analysis procedure for each of a plurality of evaluation points on a surface constituting the three-dimensional shape model indicated by the three-dimensional shape data In the extraction step, the extraction unit extracts , from the plurality of evaluation points, evaluation points that satisfy the extraction condition defined by the analysis result value indicated by the analysis result data stored in the storage step.

Then, in the closed plane grouping step, the closed plane forming the three-dimensional shape model indicated by the three-dimensional shape data stored in the storage step for the evaluation points extracted in the extraction step by the closed plane grouping unit For each of the evaluation points included in each closed plane, the evaluation points having the same analysis result value are grouped as a closed plane group, and are grouped in the closed plane grouping process by the similar grouping unit in the similar grouping process. The number of evaluation points included in each closed plane group is the same among the generalized closed plane groups, and the average value of each analysis result of the evaluation points included in each closed plane group is the average value. Closed plane groups that fall within a predetermined average value shift allowable range indicating the allowable range of shift are grouped as similar groups.

Further, in the display process, the display unit displays the value of the analysis result for each similar group grouped in the similar grouping process. Therefore, if this method is used with a computer or the like, the number of analysis results that the user should check for the analysis result of the three-dimensional shape having a repetitive structure can be reduced, and the analysis result can be confirmed in a short time and reliably. It can be carried out.

  FIG. 1 is a block diagram showing a configuration of a display device 1 according to an embodiment of the present invention. The display method of the present invention is processed by the display device 1, and the display device 1 is constituted by a computer system, for example.

  The computer system constituting the display device 1 includes an input device such as a keyboard or a mouse for inputting information (hereinafter also referred to as “data”), and an output device such as a liquid crystal panel or CRT (Cathode Ray Tube) for outputting information. A storage device for storing programs and data, such as a semiconductor memory such as a ROM (Read Only Memory) and a RAM (Random Access Memory), or an HDD (Hard Disk Drive) for storing a large amount of information, and a storage device A CPU (Central Processing Unit) that realizes the functions of the display device 1 and an I / O (Input / Output) that transmits / receives information to / from other devices or other computer systems. Output) interface.

  The devices included in the display device 1 are not limited to these, and the display device 1 may be a detachable recording medium such as a CD-ROM (Compact Disk Read Only Memory), a flexible disk, if necessary. Or a recording device that reads and writes data stored in an external memory such as an IC (Integrated Circuit) card, or a communication device that transmits and receives information, such as a program or data, via a communication line such as a LAN (Local Area Network). Good. Further, the output device may include a printing device such as a printer. These devices included in the display device 1 are devices that are generally used and will not be described in detail.

  The display device 1 includes a model data storage unit 11, an analysis result storage unit 12, an abnormal value extraction unit 13, an evaluation score grouping unit 14, a group storage unit 15, and an analysis result display unit 16. The model data storage unit 11, the analysis result storage unit 12, the abnormal value extraction unit 13, the evaluation point grouping unit 14, the group storage unit 15, and the analysis result display unit 16 are stored in the display device 1 by the CPU of the display device 1. This is realized by executing a program stored in the apparatus.

  The model data storage unit 11 stores three-dimensional shape data representing a three-dimensional shape model to be confirmed. The analysis result storage unit 12 is an analysis result analyzed by a predetermined analysis procedure for each of a plurality of evaluation points on the surface constituting the three-dimensional shape model indicated by the three-dimensional shape data stored in the model data storage unit 11. Analysis result data representing the value of is stored. The predetermined analysis procedure is, for example, an analysis procedure such as stress analysis, mechanism analysis, or thermal fluid analysis, and the value of the analysis result is, for example, the length of the normal vector at the evaluation point. The analysis result data also includes data relating to evaluation points such as an ID (Identification) for identifying the evaluation points and the coordinates of the evaluation points. The model data storage unit 11 and the analysis result storage unit 12 store these data in the storage device of the display device 1.

  The abnormal value extraction unit 13 is stored in the analysis result storage unit 12 from a plurality of evaluation points on the surface constituting the three-dimensional shape model indicated by the three-dimensional shape data stored in the model data storage unit 11. Evaluation points satisfying the extraction condition defined by the value of the analysis result indicated by the analysis result data are extracted. When there are a plurality of confirmation items, a predetermined extraction condition is determined for each confirmation item, and the abnormal value extraction unit 13 extracts an evaluation score for each confirmation item.

  The confirmation item is, for example, a confirmation item for “thickness” that is a thickness of a portion sandwiched between two surfaces forming a three-dimensional shape model. It includes two confirmation items, a thin confirmation item that is thick. The wall thickness is expressed using a normal vector, and the normal vector is a vector in the normal direction at the evaluation point with respect to the surface including the evaluation point. The normal vector at the evaluation point for “thickness” is the normal vector inward of the three-dimensional shape model that forms the surface including the evaluation point, and the thickness, that is, the length of the normal vector, is This is the distance between the evaluation point of the normal vector and the intersection on the plane where the normal vector first intersects. The normal vector in the inward direction is the inward normal vector.

  The predetermined extraction condition is, for example, a condition set in advance by the user. For example, for a thick check item, the normal vector length is equal to or longer than a predetermined first length. For the check item for thin wall, the condition is that the length of the normal vector is equal to or shorter than the first length and less than the predetermined second length.

  The evaluation point grouping unit 14 includes a closed plane grouping unit 141, a neighborhood distance grouping unit 142, and a similar grouping unit 143, and groups the evaluation points extracted by the abnormal value extraction unit 13 for each confirmation item. .

  The closed plane grouping unit 141 calculates the value of the analysis result among the evaluation points included in each closed plane for each closed plane constituting the three-dimensional shape model indicated by the three-dimensional shape data stored in the model data storage unit 11. The evaluation points that match are grouped as a closed plane group. A closed plane is a plane formed by a closed periphery.

  The neighborhood distance grouping unit 142 includes any one of the normal vectors at the evaluation points included in one closed plane group among the closed plane groups grouped by the closed plane grouping unit 141. The closed plane groups whose distance from any one of the normal vectors at the evaluation points included in the other closed plane groups is less than a predetermined reference length are grouped as neighborhood distance groups. The distance between the two normal vectors is the shortest distance among the distances between any point on one normal vector and any point on the other normal vector. If the shortest distance among the points on two straight lines obtained by extending two normal vectors is used, the evaluation points of normal vectors that are not in the vicinity may be grouped.

  The grouping by the neighborhood distance grouping unit 142 does not need to be performed when there is no effect of the grouping, that is, when the number of analysis results to be checked by the user cannot be reduced by the grouping. For example, when displaying an analysis result such as “stress” that does not directly depend on the thickness, the effect of the grouping is small because the value of the analysis result is different even in the neighborhood distance such as the face-to-face relationship, and the grouping by the neighborhood distance grouping unit 142 is performed. Do not do. When displaying analysis results for thicknesses such as “thickness”, the length of the normal vector, that is, the value of the analysis result is always the same in parallel face-to-face relationships, so the effect of grouping is great, and the neighborhood distance group The grouping unit 142 performs grouping.

  The similar grouping unit 143 analyzes the evaluation points included in each of the neighborhood distance groups and the number of evaluation points included in each of the neighborhood distance groups among the neighborhood distance groups grouped by the neighborhood distance grouping unit 142. The neighborhood distance group in which the average value of each neighborhood distance group of the result values is within the neighborhood distance average value transition allowable range which is a predetermined second average value transition allowable range indicating the allowable range of the average value transition is determined as a similar group. Group as. The similar grouping unit 143 further removes the remaining closed groups except for the closed plane groups grouped into the neighborhood distance groups by the neighborhood distance grouping unit 142 among the closed plane groups grouped by the closed plane grouping unit 141. Among the plane groups, the number of evaluation points included in each closed plane group is the same, and the average value of the analysis results of the evaluation points included in each closed plane group is allowed to change in the average value. Closed plane groups within the closed plane average value change allowable range, which is a predetermined average value change allowable range indicating the range, are grouped as similar groups.

  The group storage unit 15 stores information on evaluation points grouped by the evaluation point grouping unit 14. The evaluation point information stored in the group storage unit 15 includes information such as an ID for identifying the evaluation point, the coordinates of the evaluation point, the measurement result, or the value of the analysis result. The group storage unit 15 stores evaluation point information in the storage device of the display device 1.

  The analysis result display unit 16 displays the value of the analysis result of each similar group grouped by the evaluation point grouping unit 14, for example, the average value of the analysis result of the evaluation points included in the similar group. Each group is displayed on a display screen 50 described later. The analysis result display unit 16 displays the display screen 50 on a device that displays information, such as a liquid crystal panel of the display device 1 or a CRT.

  The model data storage unit 11 and the analysis result storage unit 12 of the present embodiment are storage units, and the abnormal value extraction unit 13 is an extraction unit. The closed plane grouping unit 141 is a closed plane grouping unit, the neighborhood distance grouping unit 142 is a neighborhood distance grouping unit, and the similar grouping unit 143 is a similar grouping unit. The analysis result display unit 16 is a display unit.

  FIG. 2 is a diagram illustrating a part 2 of a cabinet that is a confirmation target on which the display device 1 displays an analysis result. A part 2 of the cabinet has nine base holes 22 formed with base holes 22 in which the heat release holes 21 are formed.

  FIG. 3 is a diagram illustrating an example of the closed plane group 41 with respect to the heat radiation holes 20 grouped by the closed plane grouping section 141. The closed planes 30 a and 30 b are two parallel closed planes that form the heat radiation hole 20. The closed plane 30a includes eight evaluation points extracted by the abnormal value extraction unit 13, that is, evaluation points 31a1 to 31a8. A normal vector in the inner direction is formed at each of the evaluation points 31a1 to 31a8. For example, a normal vector 32a1 is formed at the evaluation point 31a1. The length of the normal vector 32a1 is the distance between the evaluation point 31a1 and the point where the normal vector 32a1 intersects the closed plane 30b.

  The closed plane grouping unit 141 groups evaluation points having the same analysis result value, that is, the same normal vector length, among the evaluation points 31a1 to 31a8 of the closed plane 30a as a closed plane group. In the example shown in FIG. 3, since the normal vectors of the evaluation points 31a1 to 31a8 have the same length, the evaluation points 31a1 to 31a8 are grouped by the closed plane grouping unit 141 as the closed plane group 41a. .

  FIG. 4 is a diagram illustrating an example of the neighborhood distance group 42 for the heat radiation holes 20 grouped by the neighborhood distance grouping portion 142. The neighborhood distance grouping unit 142 includes any one of the normal vectors at the evaluation points included in one closed plane group and the normal vectors at the evaluation points included in the other closed plane groups. A closed plane group whose distance to any one of the normal vectors is less than a predetermined reference length is grouped as a neighborhood distance group. The predetermined reference length is a length set in advance by the user, for example.

  In the example shown in FIG. 4, two closed plane groups 41a and 41b are shown, and the neighborhood distance grouping unit 142 includes a normal vector 32a1 for the evaluation point 31a1 included in the closed plane group 41a, and a closed plane. Since the distance Lab1 between the evaluation point 31b1 included in the group 41b and the normal vector 32b1 is “0”, the evaluation point 31b1 is grouped as a neighborhood distance group. The example shown in FIG. 4 is an example of the neighborhood distance group 42 for the evaluation points on the faces having a parallel face-to-face relationship, and the distance L between two normal vectors whose normal vectors are on the same straight line is “ Therefore, the close plane group including the evaluation points of the two normal vectors is grouped by the neighborhood distance grouping unit 142.

  FIG. 5 is a diagram illustrating an example of the neighborhood distance group 42 when the object to be grouped by the neighborhood distance grouping unit 142 is the square pillar 3. The example shown in FIG. 5 is an example in which there are evaluation points on each side of the square pillar 3 and the two normal vectors are not parallel. Also in this case, if the distance L between the two normal vectors is in a neighbor relationship that is less than a predetermined reference length, the neighborhood distance grouping unit 142 groups them. For example, if the distance Lxy between the normal vector 32x1 of the evaluation point 31x1 on the side surface 30x and the normal vector 32y1 of the evaluation point 31y1 on the side surface 30y is less than a predetermined reference length, the neighborhood distance grouping unit 142 Grouped.

  FIG. 6 is a diagram illustrating an example of the similar group 43 for the heat radiating hole portions 20 grouped by the similar grouping portion 143. The similar grouping unit 143 has the same number of evaluation points included in each neighborhood distance group among the neighborhood distance groups 42 grouped by the neighborhood distance grouping unit 142 and the evaluation points included in each neighborhood distance group. The neighborhood distance groups in which the average value of the analysis result values for each neighborhood distance group is within a predetermined neighborhood distance average value transition allowable range are grouped as similar groups. The similar grouping unit 143 further removes the remaining closed groups except for the closed plane groups grouped into the neighborhood distance groups by the neighborhood distance grouping unit 142 among the closed plane groups grouped by the closed plane grouping unit 141. Among the plane groups, the number of evaluation points included in each closed plane group is equal, and the average value of the analysis results of the evaluation points included in each closed plane group is the predetermined closed plane average value. Closed plane groups that are within the transition tolerance are grouped as similar groups. The predetermined neighborhood distance average value change allowable range and the predetermined closed plane average value change allowable range are values set in advance by the user, for example.

  The example shown in FIG. 6 is a case where the neighborhood distance grouping unit 142 performs grouping, and two neighborhood distance groups 42 are shown. Each of the neighborhood distance groups 42 is a neighborhood distance group for the heat radiation hole 20 having the same shape, and the number of evaluation points included in each neighborhood distance group is equal to 16. Furthermore, the average value of the analysis result values of the evaluation points included in each neighborhood distance group is the average value of the lengths of the normal vectors of each evaluation point, and the lengths of all the normal vectors are the same. The difference between the average values of the analysis results is “0”. Therefore, since the number of evaluation points is equal and the difference between the average values of the analysis results of the evaluation points is less than the predetermined average value difference, the similar grouping unit 143 converts the two neighboring distance groups 42 into the similar group 43. Group as.

  FIG. 7 is a diagram showing a display screen 50 for a part 2 of the cabinet displayed by the analysis result display unit 16. The display screen 50 includes a list display window 51 and a model display window 52.

  The list display window 51 is a window that displays a list of analysis result values of each similar group grouped by the similar grouping unit 143 for each similar group of each confirmation item. The value of the analysis result of each similar group is displayed with a number. The list display window 51 shown in FIG. 7 shows an example of wall thickness measurement. The number for identifying a similar group, the average wall thickness value of the similar group, and the type of confirmation item, for example, thin wall And the type of thick wall is shown. FIG. 7 shows three similar groups. The similar group having the number “1” is a similar group having an average thickness value of 0.5 mm for the thin check item, and the similar group having the number “2”. Is a similar group with an average thickness value of 0.7 mm for thin check items, and a similar group with number “3” is a similar group with an average thickness value of 1.5 mm for thick check items. The list display window 51 shown in FIG. 7 shows analysis result values of three similar groups. If there are analysis result values of four or more similar groups, they are also displayed.

  The model display window 52 emphasizes the closed plane to which the evaluation point included in the similar group selected from the similar group selected in the list display window 51 is emphasized for the three-dimensional shape model to be confirmed. And display in a different color. The selection of the similar group in the list display window 51 is performed by, for example, moving the pointer displayed on the screen with a mouse or the like, positioning the target similar group number, and clicking. In the example of part 2 of the cabinet shown in FIG. 7, the closed plane of the heat radiating hole portion 20 including the evaluation point of the analysis result value of the similar group of the number “1” in the list display window 51 is highlighted.

  The example of the part 2 of the cabinet shown in FIG. 7 includes nine heat radiating hole portions 20, and one heat radiating hole portion 20 has 16 evaluation points. Therefore, the total number of evaluation points is 144. become. That is, each heat radiating hole portion 20 has two closed planes including eight evaluation points, and the number of the heat radiating hole portions 20 is nine. Therefore, the number of evaluation points is the number of evaluation points “8”. The number of closed planes “2” is multiplied by the number of radiation holes 20 “9” to be 144. In the present embodiment, as described above, the closed plane group is grouped into similar groups, so that the number of user confirmations can be reduced from 144 to 1, and the evaluation points of abnormal values can be confirmed in a short time. can do.

  As described above, the model data storage unit 11 and the analysis result storage unit 12 are used to represent a plurality of three-dimensional shape data representing a three-dimensional shape model and a plurality of surfaces on the surface constituting the three-dimensional shape model indicated by the three-dimensional shape data. Analysis result data representing the value of the analysis result analyzed by a predetermined analysis procedure for each evaluation point is stored, and is stored in the analysis result storage unit 12 from among a plurality of evaluation points by the abnormal value extraction unit 13. Evaluation points satisfying an extraction condition determined in advance by the value of the analysis result indicated by the analysis result data are extracted.

  Then, the closed plane grouping unit 141 forms the three-dimensional shape model indicated by the three-dimensional shape data stored in the model data storage unit 11 for the evaluation points extracted by the abnormal value extraction unit 13. For each of the evaluation points included in each closed plane, the evaluation points having the same analysis result value are grouped as a closed plane group, and are grouped by the closed plane grouping unit 141 by the similar grouping unit 143. Among the closed plane groups, the number of evaluation points included in each closed plane group is equal, and the average value of the analysis results of the evaluation points included in each closed plane group is a predetermined closed plane average value for each closed plane group. Closed plane groups that are within the transition tolerance are grouped as similar groups.

  Further, the analysis result display unit 16 displays the value of the analysis result for each similar group grouped by the similar grouping unit 143. Therefore, it is possible to reduce the number of analysis results to be checked by the user for the analysis result of the three-dimensional shape having a repetitive structure, and the analysis result can be confirmed in a short time and reliably.

  Further, any one of the normal vectors at the evaluation points included in one closed plane group among the closed plane groups grouped by the closed plane grouping unit 141 by the neighborhood distance grouping unit 142. Closed plane groups whose distance between the vector and any one of the normal vectors at the evaluation points included in other closed plane groups is less than a predetermined reference length are grouped as neighborhood distance groups. .

  Then, among the neighborhood distance groups grouped by the neighborhood distance grouping unit 142 by the similar grouping unit 143, the number of evaluation points included in each neighborhood distance group is equal, and the evaluation points included in each neighborhood distance group The neighborhood distance groups in which the average value of the analysis result values for each neighborhood distance group is within a predetermined neighborhood distance average value transition allowable range are grouped as similar groups.

  Among the closed plane groups grouped by the closed plane grouping unit 141, each of the closed plane groups among the remaining closed plane groups excluding the closed plane group grouped by the neighborhood distance grouping unit 142 into the neighborhood distance group. There are closed plane groups in which the number of evaluation points included in each of the closed plane groups is equal and the average value of the analysis results of the evaluation points included in each closed plane group is within a predetermined closed plane average value shift allowable range. , Grouped as similar groups.

  Therefore, by further grouping the closed plane group into neighborhood distance groups, the number of analysis results to be checked by the user can be further reduced, and the analysis results can be confirmed in a shorter time.

  Furthermore, the normal vector includes an inward normal vector inward of a three-dimensional shape model that forms a surface including an evaluation point of the normal vector, and the length of the inward normal vector is: The distance between the evaluation point of the inward normal vector and the intersection on the surface where the inward normal vector first intersects. The value of the analysis result is the length of the inward normal vector, and the predetermined extraction condition is a condition determined by the length of the inward normal vector. Therefore, the evaluation point can be extracted based on the condition determined by the length of the inward normal vector, for example, the thickness, and the thickness of the same repetitive structure can be confirmed in a short time.

  Further, the predetermined extraction condition includes a first extraction condition that a length of the inward normal vector is equal to or longer than a predetermined first length, and a length of the inward normal vector is a first length. A plurality of evaluation point extraction conditions including at least a second extraction condition that is not more than one length and less than a predetermined second length. Then, the abnormal value extraction unit 13 extracts evaluation points for each of a plurality of evaluation point extraction conditions, and the closed plane grouping unit 141, the neighborhood distance grouping unit 142, and the similar grouping unit 143 extract a plurality of evaluation points. The analysis result display unit 16 displays the value of the analysis result for each similar group grouped by the condition, and displays for each similar group grouped by each evaluation point extraction condition. The Therefore, a plurality of items such as a thick evaluation point or a thin evaluation point can be displayed, and a plurality of confirmation items can be confirmed in a short time.

  In the above-described embodiment, the thickness has been described as an example of the confirmation item. However, the clearance, which is the distance of a gap such as a three-dimensional concave portion, can also be used as the confirmation item. The clearance is also expressed by using a normal vector as in the case of the wall thickness. The normal vector at the evaluation point for the clearance is a normal vector in the outward direction of the three-dimensional shape, and the length of the normal vector in the outward direction as the clearance is calculated from the evaluation point of the normal vector. This is the distance to the intersection on the opposite surface where the line vector first intersects. If there is no facing surface within a predetermined distance from the evaluation point, for example, the length of the longest side of the three-dimensional model, there is no clearance. The normal vector in the outward direction is the outward normal vector.

  In this way, the normal vector includes an outward normal vector in the outward direction of the three-dimensional shape model that forms the surface including the evaluation point of the normal vector, and the length of the outward normal vector is When there is an opposing surface opposite to the surface including the evaluation point of the outward normal vector, the evaluation point of the outward normal vector and the point where the outward normal vector intersects the opposing surface And the distance. The value of the analysis result is the length of the outward normal vector, and the predetermined extraction condition is a condition determined by the length of the outward normal vector. Therefore, an evaluation point can be extracted based on a condition determined by the length of the outward normal vector, for example, clearance, and the clearance of the same repetitive structure can be confirmed in a short time.

  FIG. 8 is a flowchart showing a processing procedure of analysis result display processing executed by the display device 1. In the analysis result display process, the evaluation points on the surface forming the three-dimensional shape model are grouped after being extracted under a predetermined extraction condition, and the analysis results of the grouped similar groups are displayed for each similar group of each confirmation item. To display. For example, when the start of the analysis result display process is selected from a menu screen displayed on a device that displays information such as a liquid crystal panel or CRT of the display device 1, the process proceeds to step A1.

  As a pre-processing step of the analysis result display process, the model data storage unit 11 stores 3D shape data representing a 3D shape model in the storage device of the display device 1 in advance, and the analysis result storage unit 12 stores the 3D shape data. Analysis result data representing the value of the analysis result analyzed by a predetermined analysis procedure is stored in advance in the storage device of the display device 1 for each of a plurality of evaluation points on the surface constituting the three-dimensional shape model indicated by the three-dimensional shape data. Remember.

  In step A1, the abnormal value extraction unit 13 reads the three-dimensional shape data stored in the model data storage unit 11. In step A2, the abnormal value extraction unit 13 reads analysis result data stored in the analysis result storage unit 12. In step A3, the abnormal value extraction unit 13 extracts an evaluation score whose analysis result value is an abnormal value. Specifically, the abnormal value extraction unit 13 satisfies a predetermined extraction condition for one confirmation item among a plurality of confirmation items based on the evaluation point indicated by the data regarding the evaluation point included in the read analysis result data. Extract evaluation points. For example, when there are a thick check item and a thin check item, first, for the thick check item, a predetermined extraction condition, for example, an evaluation point whose analysis result value is equal to or greater than a predetermined first length is extracted.

  In step A4, the closed plane grouping unit 141 performs a closed plane grouping process. Specifically, the closed plane grouping unit 141 calculates the evaluation points included in each closed plane for each closed plane constituting the three-dimensional shape model indicated by the three-dimensional shape data stored in the model data storage unit 11. Among them, evaluation points having the same analysis result value are grouped as a closed plane group.

  In step A5, the neighborhood distance grouping unit 142 performs neighborhood distance grouping processing. Specifically, the neighborhood distance grouping unit 142 selects any one of the normal vectors at the evaluation points included in one closed plane group for the closed plane groups grouped by the closed plane grouping unit 141. Closed plane groups whose distance between the normal vector and any one of the normal vectors at the evaluation points included in other closed plane groups is less than a predetermined reference length are grouped as neighborhood distance groups. .

  In step A6, the similar grouping unit 143 performs a similar grouping process. Specifically, the similar grouping unit 143 has the same number of evaluation points included in each neighborhood distance group among the neighborhood distance groups grouped by the neighborhood distance grouping unit 142 and is included in each neighborhood distance group. The neighborhood distance groups in which the average value for each neighborhood distance group of the analysis result values of the evaluation points within the neighborhood distance average value transition allowable range is grouped as similar groups, and further, the closed plane grouping unit 141 performs grouping. The number of evaluation points included in each closed plane group among the remaining closed plane groups excluding the closed plane groups grouped in the neighborhood distance group by the neighborhood distance grouping unit 142 among the grouped closed plane groups. The average value for each closed plane group is the same as the analysis result value of the evaluation points included in each closed plane group. The 閉平 surface groups in Mel 閉平 surface average displacement within the allowable range, grouped into similar groups.

  In step A <b> 7, the evaluation point grouping unit 14 determines whether or not extraction of abnormal values has been completed for all confirmation items of the plurality of confirmation items. When extraction of abnormal values is completed for all confirmation items, the process proceeds to step A8. When extraction of abnormal values is not completed for all confirmation items, the process returns to step A3. For example, when there are a thick check item and a thin check item, an abnormal value is extracted for the thick check item, but if an abnormal value is not yet extracted for the thin check item, the process returns to step A3. . When abnormal values are extracted for the thick check item and the thin check item, the process proceeds to step A8. In step A8, the analysis result display unit 16 displays the analysis result of each similar group for each similar group of each confirmation item, and ends the analysis result display process.

  In the flowchart of the analysis result display process shown in FIG. 8, the storage process is a pre-process of the analysis result display process, the extraction process is step A3, the closed plane grouping process is step A4, and the neighborhood The distance grouping process is step A5, the similar grouping process is step A6, and the display process is step A8.

  As described above, in the flowchart of the analysis result display process shown in FIG. 8, the three-dimensional shape data representing the three-dimensional shape model and the three-dimensional shape model indicated by the three-dimensional shape data are configured in the preprocessing step. Analysis result data representing the value of the analysis result analyzed by a predetermined analysis procedure for each of a plurality of evaluation points on the surface is stored, and the analysis stored in the preprocessing step from the plurality of evaluation points in step A3 An evaluation point that satisfies the extraction condition defined by the value of the analysis result indicated by the result data is extracted.

  Then, in step A4, each closed plane constituting the three-dimensional shape model indicated by the three-dimensional shape data stored in the preprocessing step is included in each closed plane with the evaluation point extracted in step A3 as a target. Of the evaluation points, evaluation points having the same analysis result value are grouped as a closed plane group, and the number of evaluation points included in each closed plane group among the closed plane groups grouped in step A4 in step A6. Closed plane groups that are equal and whose average value of the analysis results of evaluation points included in each closed plane group is within the predetermined closed plane average value allowable range are grouped as similar groups. .

  In step A8, the value of the analysis result is displayed for each similar group grouped in step A6. Therefore, if this method is used with a computer or the like, the number of analysis results that the user should check for the analysis result of the three-dimensional shape having a repetitive structure can be reduced, and the analysis result can be confirmed in a short time and reliably. It can be carried out.

It is a block diagram which shows the structure of the display apparatus 1 which is one Embodiment of this invention. It is a figure which shows the part 2 of the cabinet which is the confirmation object which the display apparatus 1 displays an analysis result. It is a figure which shows the example of the closed plane group 41 about the thermal radiation hole part 20 grouped by the closed plane grouping part 141. FIG. It is a figure which shows the example of the near distance group 42 about the thermal radiation hole part 20 grouped by the near distance grouping part 142. FIG. It is a figure which shows the example of the neighborhood distance group 42 in case the object grouped by the neighborhood distance grouping part 142 is the square pillar 3. FIG. It is a figure which shows the example of the similar group 43 about the thermal radiation hole part 20 grouped by the similar grouping part 143. FIG. It is a figure which shows the display screen 50 about the part 2 of the cabinet displayed by the analysis result display part 16. FIG. It is a flowchart which shows the treatment procedure of the analysis result display process which the display apparatus 1 performs.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Display apparatus 2 Part of cabinet 3 Square pillar 11 Model data storage part 12 Analysis result storage part 13 Abnormal value extraction part 14 Evaluation point grouping part 15 Group storage part 16 Analysis result display part 20 Heat radiation hole part 21 Heat radiation hole 22 group Material 30, 30a, 30b, 30x, 30y Closed plane 31, 31a1-31a8, 31b1, 31x1, 31y1 Evaluation point 32, 32a1, 32b1, 32x1, 32y1 Normal vector 41, 41a, 41b Closed plane group 42 Neighborhood distance group 43 Similar group 50 display screen 51 list display window 51
52 Model display window 52
141 Closed plane grouping unit 142 Neighborhood distance grouping unit 143 Similar grouping unit

Claims (6)

The three-dimensional shape data representing the three-dimensional shape model, and the value of the analysis result analyzed by a predetermined analysis procedure for each of a plurality of evaluation points on the surface constituting the three-dimensional shape model indicated by the three-dimensional shape data A storage unit for storing analysis result data to be represented;
An extraction unit that extracts an evaluation point that satisfies a predetermined extraction condition from a value of the analysis result indicated by the analysis result data stored in the storage unit from the plurality of evaluation points;
For the evaluation points extracted by the extraction unit, for each closed plane constituting the three-dimensional shape model indicated by the three-dimensional shape data stored in the storage unit, of the evaluation points included in each closed plane, A closed plane grouping unit that groups evaluation points having the same value as a closed plane group;
Of the closed plane groups grouped by the closed plane grouping unit, the number of evaluation points included in each closed plane group is the same, and the analysis result value of the evaluation points included in each closed plane group A similar grouping unit for grouping closed plane groups whose average value is within a predetermined average value shift allowable range indicating the allowable range of average value shift as a similar group;
And a display unit that displays the value of the analysis result for each similar group grouped by the similar grouping unit. Among the closed plane groups grouped by the closed plane grouping unit, one of the normal vectors at the evaluation point included in one closed plane group and included in another closed plane group A proximity distance grouping unit that groups closed plane groups whose distance from a normal vector of any one of the normal vectors at the evaluation point is less than a predetermined reference length as a neighborhood distance group;
The similar grouping unit includes:
Of the neighborhood distance groups grouped by the neighborhood distance grouping unit, the number of evaluation points included in each neighborhood distance group is equal, and the neighborhood distance group of the analysis result values of the evaluation points included in each neighborhood distance group A group of neighboring distances whose average value is within a predetermined second average value shift tolerance range indicating a tolerance range of the average value as a similar group,
Among the closed plane groups grouped by the closed plane grouping unit, each of the closed plane groups among the remaining closed plane groups excluding the closed plane group grouped into the neighborhood distance group by the neighborhood distance grouping unit. The closed plane group in which the number of evaluation points included in each of the closed plane groups is equal and the average value of the analysis results of the evaluation points included in each closed plane group is within the predetermined average value shift allowable range, The display device according to claim 1, wherein the display devices are grouped as similar groups. The normal vector includes an outward normal vector in an outward direction of a three-dimensional shape model that forms a surface including an evaluation point of the normal vector, and the length of the outward normal vector is When there is an opposing surface opposite to the surface including the evaluation point of the outward normal vector, the distance between the evaluation point of the outward normal vector and the point where the outward normal vector intersects the opposing surface And
The value of the analysis result is the length of the outward normal vector;
The display device according to claim 2, wherein the predetermined extraction condition is a condition determined by a length of the outward normal vector. The normal vector includes an inward normal vector inward of a three-dimensional shape model that forms a surface including an evaluation point of the normal vector, and the length of the inward normal vector is The distance between the inward normal vector evaluation point and the intersection on the surface where the inward normal vector first intersects;
The value of the analysis result is the length of the inward normal vector;
The display device according to claim 2, wherein the predetermined extraction condition is a condition determined by a length of the inward normal vector. The predetermined extraction condition includes a first extraction condition that a length of the inward normal vector is equal to or longer than a predetermined first length, and a length of the inward normal vector is the first length. A plurality of evaluation point extraction conditions including at least a second extraction condition that is less than or equal to a length of 1 and less than a predetermined second length;
The extraction unit extracts an evaluation point for each of the plurality of evaluation point extraction conditions,
The closed plane grouping unit, the neighborhood distance grouping unit, and the similar grouping unit are grouped for each of the plurality of evaluation point extraction conditions,
The display unit displays a value of an analysis result for each similar group grouped by the similar grouping unit for each similar group grouped under each evaluation point extraction condition. The display device described. A display method executed by a display device including a storage unit, an extraction unit, a closed plane grouping unit, a similar grouping unit, and a display unit,
Analysis analyzed by the storage unit according to a predetermined analysis procedure for three-dimensional shape data representing a three-dimensional shape model and a plurality of evaluation points on a surface constituting the three-dimensional shape model indicated by the three-dimensional shape data A storage step of storing analysis result data representing the value of the result;
An extraction step for extracting an evaluation point that satisfies a predetermined extraction condition by the value of the analysis result indicated by the analysis result data stored in the storage step from the plurality of evaluation points by the extraction unit ;
The closed plane grouping unit includes the evaluation points extracted in the extraction process as targets, and includes each closed plane that constitutes the 3D shape model indicated by the 3D shape data stored in the storage process. A closed plane grouping step for grouping evaluation points having the same analysis result value among the evaluation points as a closed plane group;
Of the closed plane groups grouped in the closed plane grouping process by the similar grouping unit, the number of evaluation points included in each closed plane group is the same, and the analysis result of the evaluation points included in each closed plane group A similar grouping step of grouping closed plane groups whose average value for each closed plane group of values is within a predetermined average value shift tolerance indicating the allowable range of transition of the average value as a similar group;
And a display step of displaying the value of the analysis result for each similar group grouped in the similar grouping step by the display unit .

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