Automatic comparative analysis method for vehicle model data

Abstract

The invention belongs to the technical field of automobile product design, and relates to an automatic comparative analysis method for vehicle model data, which comprises the following steps of: storing multiple data by a computer, and performing data matching according to a data processing instruction and a rule issued by a program; performing data comparison and analysis according to the requirements of the six modules; and finally, outputting a data comparison analysis result, quantitatively expressing and directly reading the data. According to the automatic comparative analysis method for the vehicle type data, manual input comparative analysis and arrangement of comparative difference results are converted into full-automatic comparative analysis; a change list including change points and change quantities can be automatically output, specifically changed workpieces can be directly clicked to be checked, and the change values of all positions of the workpieces are directly displayed, so that the working efficiency is effectively improved, and 24 people days are saved for each vehicle type; the accuracy of data comparison is improved and reaches 100%, and designers can make process layout and adjustment according to data changes conveniently.

Description

Technical Field

[0001] The invention belongs to the technical field of automobile product design, and in particular relates to an automatic comparison and analysis method for vehicle model data. Background Art

[0002] During the production process of new vehicle models, the vehicle model product data needs to be reviewed by multiple departments for function and formability, and optimization suggestions are put forward. The product data is constantly changed to improve maturity. In particular, the vehicle data is issued in full version, with about 300-500 stamping parts. It is necessary to check the data changes and changes one by one with the product BOM and the previous version of the data, including the increase and decrease of parts, changes in materials, changes in material thickness, changes in weight, changes in profiles and contours, etc., re-evaluate the changes, and put forward optimization suggestions. In the past, manual import and comparison were all done, which consumed a lot of man-hours and was not very accurate, especially when adding or reducing parts, which was prone to errors. Summary of the invention

[0003] The purpose of the present invention is to provide a method for fully automatically comparing vehicle model data and directly outputting the comparison results, so as to solve the problem of simultaneous comparison of different versions or multiple versions of single data, assembly data, and whole vehicle data.

[0004] The objective of the present invention is achieved through the following technical solutions:

[0005] A method for automatic comparison and analysis of vehicle model data is to store multiple versions of data by a computer, firstly match the data according to the data processing instructions and rules issued by the program; then compare and analyze the data according to the requirements of six modules; finally, output the data comparison and analysis results, express them quantitatively and read the data directly.

[0006] The automatic comparison and analysis method of vehicle model data of the present invention specifically comprises the following steps:

[0007] A. Data input: Receive two different versions of data in batches, select data based on the data type, such as data format, data name, fields contained in the name, etc., and store the data separately;

[0008] B. Data matching: automatically obtain two versions of data and match data according to the data processing instructions and rules issued by the program;

[0009] C. Data comparison: match data according to set rules and automatically detect connected surfaces until data boundaries are detected and defined as complete data. Then, perform data comparison and analysis according to the requirements of the six modules, analyze and calculate the characteristics, size, and quantity of different versions of data, distinguish change points by color or highlight, and the value reflects the change amount. The comparison accuracy can be set during the process, and the change amount is displayed outside the comparison accuracy.

[0010] D. Result output: output data for comparative analysis, quantitative expression and direct reading of data.

[0011] Furthermore, the data storage may contain multiple units, such as single data, assembly data or whole vehicle data, and may contain multiple versions, and the versions may be automatically defined.

[0012] Furthermore, step B specifically includes: automatically acquiring a data set 1 of an old version data storage unit and a data set 2 of a new version data storage unit, and automatically matching them according to the data format type and the data name.

[0013] Furthermore, step C specifically includes the following steps:

[0014] C1. Perform data pairing and matching first. If the matching fails, compare the data quantity. Based on data set 1, determine whether to add or cancel the data, and output the feedback result.

[0015] C2. If the data is matched successfully, perform data reference point fitting, data structure feature comparison, data attribute comparison, data size comparison and data quantity comparison respectively.

[0016] Furthermore, step C2, comparing data structure features means: comparing data features including changes in profile, contour, hole position, hole diameter, and hole number according to the rules of module 3.

[0017] Furthermore, step C2, comparing data attributes means: comparing data sizes according to the rules of module 4, including comparison of length, width and height.

[0018] Furthermore, step C2, performing data size comparison means: performing data attribute comparison according to the rules of module 5, including material, material thickness, and weight comparison; performing data quantity comparison according to the rules of module 6, including adding and canceling.

[0019] Furthermore, step D: the output result is an output change list, including: adding parts; reducing parts or canceling parts; weight changes; material changes; material thickness changes; size changes; contour changes; surface changes; hole position changes; hole diameter changes and hole number changes, and includes screenshots of part size changes and links to change data, which can be clicked to enter the program and open the data for viewing.

[0020] Furthermore, in step D, the output result is the assembly data, and the change data of the color mark can be identified in the assembly data.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] The automatic comparison and analysis method for vehicle model data of the present invention realizes the transformation from manual input comparison and analysis and sorting comparison difference results to fully automatic comparison and analysis; it can automatically output a list of changes, including change points and change amounts, and can directly click to view the specific changed parts. The parts directly display the change values ​​at various locations, effectively reducing and improving work efficiency, saving 24 man-days / model hours for each vehicle model; improving the accuracy of data comparison to 100%, making it convenient for designers to make process layout and adjustments based on data changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 The schematic diagram of the automatic comparison and analysis method of vehicle model data;

[0025] Figure 2 A flowchart of the steps of the automatic comparison and analysis method of vehicle model data;

[0026] Figure 3a-3e The figure is a flowchart of each step of the automatic comparison and analysis method of vehicle model data. DETAILED DESCRIPTION

[0027] The present invention will be further described below in conjunction with embodiments:

[0028] like Figure 1 As shown, the automatic comparison and analysis method of vehicle model data of the present invention is to store data by a computer, and match data according to the data processing instructions and rules issued by the program; then, perform data comparison and analysis according to the requirements of the six modules; finally, output the data comparison and analysis results, express them quantitatively, and can directly read the data.

[0029] like Figure 2 As shown, after receiving the data sent by the upstream product design department in batches, the data that needs to be compared, single or assembly or vehicle data, are stored in two different versions as data set 1 and data set 2 respectively.

[0030] Start the program, and it will automatically obtain all the data in Dataset 1 and its subfolders, i.e. Dataset 1, of the old version of the data storage unit. At the same time, it will automatically obtain all the data in Dataset 2 and its subfolders, i.e. Dataset 2, of the new version of the data storage unit, and automatically match them according to the different data formats and names.

[0031] If the match is unsuccessful, the data quantity comparison is performed, and the data set 1 is used as the benchmark to determine whether the data is added or cancelled, and the feedback result is output. If the data match is successful, it will be compared according to the rules of module 2, fitted according to the data reference point, and compared according to the rules of module 3 for data features including changes in profile, contour, hole position, hole diameter, and number of holes. According to the rules of module 4, the data size comparison is performed, including length, width, and height; according to the rules of module 5, the comparison is performed, including material, thickness, and weight. Finally, the quantitative comparison results are output, and you can link to the specific data to view the details.

[0032] like Figure 3a-3e As shown, in the present invention, data storage may contain multiple units, such as single data, assembly data or whole vehicle data, and may contain multiple versions, and the versions may be automatically defined.

[0033] Make a selection based on the data type, such as the format of the data, the data name, the fields contained in the name, and other definitions.

[0034] According to the set rules, the data is matched and the connected surfaces are automatically detected until the data boundary is detected and defined as complete data, and then the calculation and analysis are performed. Comparative analysis is performed on the contents of the six modules, and the characteristics, size, and quantity of different versions of data are analyzed and calculated. The change points can be distinguished by color or highlight, and the value reflects the change amount. The comparison accuracy can be set during the process, and the change amount is displayed outside the comparison accuracy.

[0035] After the comparative analysis is completed, the results are output and the output format can be selected. For example, if the form is selected, the form contains information such as incremental changes, property changes, and part size changes, and contains screenshots of part size changes and links to change data. Click to enter the program and open the data for viewing. If you choose to open the assembly data, you can identify the color-marked change data in the assembly data.

[0036] Example 1

[0037] A method for automatic comparison and analysis of vehicle model data uses computer storage functions to store multiple versions of data, processes the stored data, matches the data according to program settings, and then compares the data according to specification requirements, and finally outputs the comparison results. It includes the following steps:

[0038] 1. Data input and data storage: receive the old version data and the new version data in batches and store them in data set 1 and data set 2 respectively.

[0039] 2. Collect the data rules of Dataset 1 and Dataset 2, and match the data according to the data type and data name. Automatically obtain all the data in Dataset 1 of the old version of the data storage unit. At the same time, automatically obtain all the data in Dataset 2 of the new version of the data storage unit, determine the data format and data name according to the rules of Module 1, and automatically match the data.

[0040] 3. Data comparison.

[0041] 31. Perform data matching first. If the match fails, perform data processing.

[0042] 32. Carry out data benchmark point fitting, data structure feature comparison, data attribute comparison, data size comparison and data quantity comparison respectively. Specifically:

[0043] Taking dataset 1 as the benchmark, comparisons are performed according to the rules of module 2, module 3, module 4, module 5 and module 6 respectively.

[0044] 321. The rule of module 2 is to fit the data according to the reference points.

[0045] 322. The rules of module 3 are data feature comparison, including comparison of profile, contour, hole position, hole diameter, and number of holes.

[0046] 323. The rule of module 4 is data size comparison, including length, width and height comparison.

[0047] 324. Module 5 rules are for data attribute comparison, including material, thickness and weight comparison.

[0048] 325. Module 6 rules are for data quantity comparison, including addition and cancellation. 4. Result output, output change list, including: addition of parts; reduction of parts or cancellation of parts; weight change; material change; material thickness change; size change; contour change; profile change; hole position change; hole diameter change and hole number change.

[0049] The automatic comparison and analysis method of vehicle model data of the present invention includes automatic comparison of differences and changes in different versions of three-dimensional data, and can solve the problem of simultaneous comparison of different versions or multiple versions of single data, assembly data, and whole vehicle data. After storing data through a data storage unit, the present invention matches the data, and the matching rules are data format, data name, or fields contained in the name. In the present invention, data can be fitted through reference points. After different versions of data are successfully matched, they are fitted together through reference points, and the connecting surfaces are automatically detected. After the data boundary is detected and defined as complete data, calculation and analysis are performed.

[0050] The functions of this method include automatically defining basic data, and automatically adding or canceling the number of parts in the new and old versions of vehicle data or assembly data; comparing data product features, including changes in data profiles, contours, hole positions, hole diameters, and increases and decreases in the number of holes of vehicle data, assembly data, or individual data; comparing data attributes, including comparisons of attributes of vehicle data, assembly data, or individual data, including material, thickness, and weight; comparing data dimensions, including comparisons of changes in data dimensions of vehicle data, assembly data, or individual data, including length, width, and height of the workpiece. The dimension change comparison setting can define the accuracy.

[0051] The present invention can output data change results after completing data comparison and analysis, and the output includes increase or decrease in data quantity, change in data profile, change in contour, change in hole position, change in hole diameter, increase or decrease in number of holes, change in weight, change in material, change in material thickness, and change in size.

[0052] The data output result form of the present invention can be linked to view the specific changed data, and the changed data can be identified by color and brightness.

[0053] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for automatic comparison and analysis of vehicle model data, characterized in that: It uses computers to store multiple versions of data. First, data matching is performed according to the data processing instructions and rules issued by the program; then data comparison and analysis are performed according to the requirements of the six modules; finally, the data comparison and analysis results are output, quantitatively expressed, and the data can be directly read.

2. The method for automatic comparison and analysis of vehicle model data according to claim 1, characterized in that: The specific steps include: A. Data input: Receive two different versions of data in batches, select data based on the data type, such as data format, data name, fields contained in the name, etc., and store the data separately; B. Data matching: automatically obtain two versions of data and match data according to the data processing instructions and rules issued by the program; C. Data comparison: match data according to set rules and automatically detect connected surfaces until data boundaries are detected and defined as complete data. Then, perform data comparison and analysis according to the requirements of the six modules, analyze and calculate the characteristics, size, and quantity of different versions of data, distinguish change points by color or highlight, and the value reflects the change amount. The comparison accuracy can be set during the process, and the change amount is displayed outside the comparison accuracy. D. Result output: output data for comparative analysis, quantitative expression and direct reading of data.

3. The method for automatic comparison and analysis of vehicle model data according to claim 1, characterized in that: Data storage can contain multiple units, such as single data, assembly data or vehicle data, and can contain multiple versions, which can be automatically defined.

4. The method for automatic comparison and analysis of vehicle model data according to claim 3, characterized in that: Step B specifically includes: automatically acquiring a data set 1 of an old version data storage unit and a data set 2 of a new version data storage unit, and automatically matching them according to the data format type and the data name.

5. The method for automatic comparison and analysis of vehicle model data according to claim 1, characterized in that: Step C specifically comprises the following steps: C1. Perform data pairing and matching first. If the matching fails, compare the data quantity. Based on data set 1, determine whether to add or cancel the data, and output the feedback result. C2. If the data is matched successfully, perform data reference point fitting, data structure feature comparison, data attribute comparison, data size comparison and data quantity comparison respectively.

6. The method for automatic comparison and analysis of vehicle model data according to claim 1, characterized in that: Step C2, comparing data structure features means comparing data features including changes in profile, contour, hole position, hole diameter, and hole number according to the rules of module 3.

7. The method for automatic comparison and analysis of vehicle model data according to claim 1, characterized in that: Step C2, comparing data attributes means: comparing data sizes according to the rules of module 4, including comparison of length, width and height.

8. The method for automatic comparison and analysis of vehicle model data according to claim 1, characterized in that: Step C2, data size comparison means: data attribute comparison according to the rules of module 5, including material, thickness, and weight comparison; data quantity comparison according to the rules of module 6, including addition and cancellation.

9. The method for automatic comparison and analysis of vehicle model data according to claim 1, characterized in that: Step D: The output result is a list of output changes, including: adding parts; reducing parts or canceling parts; weight changes; material changes; material thickness changes; size changes; contour changes; surface changes; hole position changes; hole diameter changes and hole number changes, and includes screenshots of part size changes and links to change data, which can be clicked to enter the program and open the data for viewing.

10. The method for automatic comparison and analysis of vehicle model data according to claim 1, characterized in that: Step D, the output result is the assembly data, and the change data of the color mark can be identified in the assembly data.

Images