Vehicle attitude automatic contrastive analysis method, device and equipment and storage medium

Abstract

The invention discloses a vehicle attitude automatic contrastive analysis method, device and equipment and a storage medium, and relates to the technical field of vehicle production and manufacturing, and the method comprises the steps: carrying out the point cloud scanning or three-coordinate measurement of a real vehicle when the real vehicle test stage judges that there is a deviation between the vehicle attitude and a target requirement; the result is input into the constructed attitude automatic comparison and analysis system; comparing and analyzing the point cloud scanning or three-coordinate measurement result with the 3D data of the whole vehicle so as to judge and obtain a defective part, marking the defective part and generating a self-inspection report at the same time; wherein the self-inspection report comprises the defective part and the deviation value of the defective part. According to the method, posture inspection and notification can be automatically achieved, defective parts and deviation values can be found, analysis and improvement by designers are facilitated, and the working efficiency is effectively improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle production and manufacturing technology, and specifically to a method, device, equipment and storage medium for automatic comparison and analysis of vehicle postures. Background Art

[0002] Designing and ensuring vehicle posture is a crucial step in vehicle development and testing. During development, discrepancies often exist between the theoretical posture initially designed and the actual posture of the vehicle. When these deviations occur, designers must verify each component's position against component inspection reports, locating the deviations one by one. This is time-consuming and error-prone.

[0003] Therefore, how to efficiently realize vehicle posture comparative analysis to improve work efficiency has become a problem that needs to be solved urgently. Summary of the Invention

[0004] The present application provides a method, device, equipment and storage medium for automatic comparison and analysis of vehicle posture, which can automatically realize posture inspection and notification, discover problem parts and deviation values, so that designers can analyze and improve them, and effectively improve work efficiency.

[0005] In a first aspect, an embodiment of the present application provides a method for automatic comparison and analysis of vehicle postures, the method comprising:

[0006] During the actual vehicle testing phase, if a deviation is detected between the vehicle posture and the target requirement, point cloud scanning or three-dimensional coordinate measurement is performed on the actual vehicle, and the results are input into the constructed automatic posture comparison and analysis system;

[0007] Compare and analyze the point cloud scanning or three-dimensional coordinate measurement results with the 3D data of the entire vehicle to identify and mark the problematic parts and generate a self-inspection report;

[0008] The self-inspection report includes problem components and deviation values ​​of the problem components.

[0009] In conjunction with the first aspect, in one embodiment, when it is determined during the actual vehicle testing phase that there is a deviation between the vehicle posture and the target requirement, point cloud scanning or three-dimensional coordinate measurement is performed on the actual vehicle, and the results are input into the constructed automatic posture comparison and analysis system, specifically including:

[0010] During the vehicle model development process, if the vehicle posture is judged not to meet the target requirements during the actual vehicle testing phase, the vehicle posture is considered abnormal;

[0011] Perform point cloud scanning or three-coordinate measurement on the actual vehicle to obtain point cloud data or three-coordinate data, and input the obtained point cloud data or three-coordinate data into a pre-built automatic posture comparison and analysis system.

[0012] In conjunction with the first aspect, in one embodiment, comparing and analyzing the point cloud scanning or three-dimensional coordinate measurement results with the 3D data of the entire vehicle to determine problematic parts, marking the problematic parts, and generating a self-inspection report specifically includes:

[0013] The automatic posture comparison and analysis system compares and analyzes point cloud data or three-coordinate data with the 3D data of the entire vehicle, determines deviations, and identifies problematic parts.

[0014] Mark the problem parts and their connected parts, and generate a self-inspection report.

[0015] In conjunction with the first aspect, in one embodiment,

[0016] The vehicle posture automatic comparison and analysis method further includes calibrating the posture automatic comparison and analysis system;

[0017] The verification of the automatic posture comparison and analysis system specifically includes:

[0018] Import the component inspection dimension data into the posture automatic comparison and analysis system, which will then calculate the position coordinates and dimension parameters of each component after assembly.

[0019] The calculation results are compared and analyzed with the 3D data of the entire vehicle to obtain the problem parts and their deviation values, which are then compared with the posture deviation values ​​of the actual vehicle test to realize the calibration of the automatic posture comparison and analysis system.

[0020] In conjunction with the first aspect, in one embodiment, the vehicle posture automatic comparison and analysis method further includes:

[0021] Actively input the measured dimensional values ​​of parts into the automatic posture comparison and analysis system;

[0022] The automatic posture comparison and analysis system automatically measures and cumulatively calculates the dimensions of each key control point of the vehicle based on the assembly relationship of the vehicle's 3D data and compares it with the vehicle's 3D data to obtain the deviation value of the key control point;

[0023] The obtained critical control point deviation value is compared with the critical control point design tolerance to obtain the problem parts, mark the problem parts and the connected parts of the problem parts, and generate a self-inspection report at the same time.

[0024] In conjunction with the first aspect, in one embodiment, the vehicle posture automatic comparison and analysis method further includes:

[0025] Import the tolerance values ​​of each component into the automatic posture comparison and analysis system;

[0026] The automatic posture comparison and analysis system performs cumulative calculations to obtain the dimensions and tolerances of each key control point of the vehicle based on the tolerances of each component.

[0027] The dimensions and tolerance values ​​of each key control point of the vehicle are compared with the design tolerances of the key control points to obtain problematic parts, mark the problematic parts and the connected parts of the problematic parts, and generate a self-inspection report.

[0028] In conjunction with the first aspect, in one embodiment, after generating the self-test report, the method further includes:

[0029] Based on the self-inspection report, the problem component and its connected components are disassembled and detailed measurements are performed to obtain accurate deviation values.

[0030] In a second aspect, an embodiment of the present application provides a vehicle posture automatic comparison and analysis device, the vehicle posture automatic comparison and analysis device comprising:

[0031] The input module is used to perform point cloud scanning or three-dimensional coordinate measurement on the actual vehicle when it is determined that there is a deviation between the vehicle posture and the target requirement during the actual vehicle testing phase, and input the results into the constructed automatic posture comparison and analysis system;

[0032] The execution module is used to compare and analyze the point cloud scanning or three-dimensional coordinate measurement results with the 3D data of the entire vehicle to identify and mark the problematic parts and generate a self-inspection report;

[0033] The self-inspection report includes problem components and deviation values ​​of the problem components.

[0034] In a third aspect, an embodiment of the present application provides a vehicle posture automatic comparison and analysis device, which includes a processor, a memory, and a vehicle posture automatic comparison and analysis program stored in the memory and executable by the processor, wherein when the vehicle posture automatic comparison and analysis program is executed by the processor, the steps of the above-mentioned vehicle posture automatic comparison and analysis method are implemented.

[0035] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a vehicle posture automatic comparison and analysis program is stored. When the vehicle posture automatic comparison and analysis program is executed by a processor, the steps of the above-mentioned vehicle posture automatic comparison and analysis method are implemented.

[0036] The beneficial effects of the technical solutions provided in the embodiments of the present application include:

[0037] When it is determined during the actual vehicle testing phase that there is a deviation between the vehicle posture and the target requirements, point cloud scanning or three-coordinate measurement is performed on the actual vehicle, and the results are input into the constructed automatic posture comparison and analysis system. The point cloud scanning or three-coordinate measurement results are then compared and analyzed with the 3D data of the entire vehicle to determine the problem parts, mark the problem parts, and generate a self-inspection report. The posture inspection and notification are automatically carried out, and the problem parts and deviation values ​​are discovered so that designers can analyze and improve them, effectively improving work efficiency. It can also verify the rationality of the component tolerance definition and improve design quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a flow chart of the automatic comparative analysis method for vehicle postures of this application;

[0039] Figure 2 This is a schematic diagram of the functional modules of the vehicle posture automatic comparison and analysis device of this application;

[0040] Figure 3 This is a schematic diagram of the hardware structure of the vehicle posture automatic comparison and analysis device of this application. DETAILED DESCRIPTION

[0041] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0042] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0043] On the first aspect, the embodiments of the present application provide a method for automatic comparison and analysis of vehicle posture, which automatically implements posture inspection and notification, discovers problematic components and deviation values, so that designers can analyze and improve them, and effectively improve work efficiency.

[0044] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the automatic comparative analysis method for vehicle postures in this application. Figure 1 As shown, the vehicle posture automatic comparison and analysis method includes:

[0045] S1: During the actual vehicle testing phase, if a deviation is detected between the vehicle posture and the target requirement, point cloud scanning or three-dimensional coordinate measurement is performed on the actual vehicle, and the results are input into the constructed automatic posture comparison and analysis system;

[0046] S2: Compare and analyze the point cloud scanning or three-dimensional coordinate measurement results with the 3D data of the entire vehicle to determine the problem parts, mark the problem parts and generate a self-inspection report; wherein, the self-inspection report includes the problem parts and the deviation values ​​of the problem parts.

[0047] It should be noted that the posture automatic comparison and analysis system of the present application is developed based on the secondary development or plug-in of CAD software. The posture automatic comparison and analysis system is based on the 3D data of the whole vehicle to realize the automatic judgment of the vehicle posture, thereby determining the problem parts and the deviation values ​​of the problem parts.

[0048] Furthermore, in one embodiment, when it is determined during the actual vehicle testing phase that there is a deviation between the vehicle posture and the target requirement, point cloud scanning or three-dimensional coordinate measurement is performed on the actual vehicle, and the results are input into the constructed automatic posture comparison and analysis system, specifically including:

[0049] S101: During the vehicle model development process, if the vehicle posture is determined not to meet the target requirements during the actual vehicle testing phase, the vehicle posture is determined to be abnormal;

[0050] S102: Performing point cloud scanning or three-coordinate measurement on the actual vehicle to obtain point cloud data or three-coordinate data, and inputting the obtained point cloud data or three-coordinate data into a pre-built automatic posture comparison and analysis system.

[0051] Specifically, during the vehicle model development process, when actual vehicle testing finds that the vehicle posture does not meet the requirements, point cloud scanning or three-coordinate measurement is performed on the actual vehicle to obtain point cloud data or three-coordinate data, and the obtained point cloud data or three-coordinate data is imported into a pre-built posture automatic comparison and analysis system.

[0052] Furthermore, in one embodiment, the point cloud scanning or three-dimensional coordinate measurement results are compared and analyzed with the 3D data of the entire vehicle to identify problematic parts, mark the problematic parts, and generate a self-inspection report, specifically including:

[0053] S201: The automatic posture comparison and analysis system compares and analyzes the point cloud data or three-coordinate data with the 3D data of the entire vehicle, determines deviations, and obtains problematic parts;

[0054] S202: Mark the problem component and its connected components, and generate a self-inspection report.

[0055] Specifically, the automatic posture comparison and analysis system automatically compares and analyzes the point cloud data or three-coordinate data with the 3D data of the entire vehicle, discovers deviations or risk items, renders the color of the problem parts and the connected parts of the problem parts in red, and generates a self-inspection report. The self-inspection report will clearly point out the potential problem parts and their deviation values.

[0056] Furthermore, after generating a self-test report, the process also involves disassembling the problematic component and its connected components based on the report, and performing detailed measurements to obtain accurate deviation values. This means that after receiving the self-test report, designers can directly identify the problem point and potential problematic component, disassemble the component and its connected components for detailed measurements, identify deviations, and then improve the problem.

[0057] Furthermore, in one embodiment, the vehicle posture automatic comparison and analysis method of the present application further includes calibrating the posture automatic comparison and analysis system;

[0058] Verify the automatic posture comparison and analysis system, including:

[0059] a1: Import the component inspection dimension data into the posture automatic comparison and analysis system, which will calculate the position coordinates and dimension parameters of each component after assembly.

[0060] a2: Compare and analyze the calculation results with the 3D data of the entire vehicle to obtain the problem parts and their deviation values, and compare them with the actual vehicle test posture deviation values ​​to realize the verification of the automatic posture comparison and analysis system.

[0061] Specifically, for the automatic posture comparison and analysis system of this application, users can import the posture deviation value of the actual vehicle test and the component detection dimension data at the same time. The automatic posture comparison and analysis system will automatically accumulate and calculate the position coordinates and dimension parameters of each component after assembly, compare and analyze the calculation results with the 3D data of the entire vehicle, obtain the problem component and the deviation value of the problem component, and compare it with the posture deviation value of the actual vehicle test, so as to verify the accuracy of the deviation value analyzed by the automatic posture comparison and analysis system. In actual application, if the deviation value of the problem component and the problem component is compared with the posture deviation value of the actual vehicle test, and the difference exceeds 3mm, the user will be reminded that the test data is incorrect and the user is asked to verify the detection data.

[0062] Furthermore, in one embodiment, the vehicle posture automatic comparison and analysis method of the present application further includes:

[0063] b1: Actively input the measured dimensional values ​​of parts into the automatic posture comparison and analysis system;

[0064] b2: The posture automatic comparison and analysis system automatically measures and cumulatively calculates the dimensions of each key control point of the vehicle based on the assembly relationship of the vehicle's 3D data and compares it with the vehicle's 3D data to obtain the deviation value of the key control point;

[0065] b3: Compare the obtained critical control point deviation value with the critical control point design tolerance to obtain the problem parts, mark the problem parts and the connected parts of the problem parts, and generate a self-inspection report at the same time.

[0066] Specifically, when the user does not obtain data through point cloud scanning or three-dimensional measurement of the actual vehicle, he can manually input the measured dimension values ​​of the parts into the automatic posture comparison and analysis system. The automatic posture comparison and analysis system will automatically measure and cumulatively calculate the dimensions of each key control point of the vehicle based on the assembly relationship of the whole vehicle 3D data and compare it with the whole vehicle 3D data to obtain the deviation value of the key control point. The obtained key control point deviation value is then compared with the key control point design tolerance to find deviations or risks, obtain problem parts, render the problem parts and the connected parts of the problem parts in red, and then generate a self-inspection report. The self-inspection report will clearly point out the potential problem parts and their deviation values.

[0067] Furthermore, in one embodiment, the vehicle posture automatic comparison and analysis method of the present application further includes:

[0068] c1: Import the tolerance values ​​of each component into the automatic posture comparison and analysis system;

[0069] c2: The posture automatic comparison and analysis system performs cumulative calculations to obtain the dimensions and tolerances of each key control point of the vehicle based on the tolerances of each component.

[0070] c3: Compare the dimensions and tolerance values ​​of each key control point of the vehicle with the design tolerance of the key control points to identify problematic parts, mark the problematic parts and their connecting parts, and generate a self-inspection report.

[0071] Specifically, the posture automatic comparison and analysis system of the present application can also be used to verify the rationality of the tolerance definition of parts. The design tolerances of the key control points of the entire vehicle are derived from the decomposition of the posture control requirements of the actual vehicle, and are temporarily identified as the benchmark. At this time, the tolerance values ​​of each component are imported into the posture automatic comparison and analysis system. The posture automatic comparison and analysis system cumulatively calculates the dimensions and tolerance values ​​of each key control point based on the component tolerance values, and compares and analyzes them with the design tolerances of the key control points of the entire vehicle. Deviations or risks are found, and problem parts are obtained. The colors of the problem parts and the connecting parts of the problem parts are rendered red, and then a self-inspection report is generated. The self-inspection report will clearly point out the potential problem parts and their deviation values. However, it should be noted that the posture automatic comparison and analysis system cannot specifically determine whether the design tolerances of the key control points of the entire vehicle are wrong or the tolerance definitions of each component are unreasonable. At this time, designers need to further analyze and confirm.

[0072] The vehicle posture automatic comparison and analysis method of the embodiment of the present application performs point cloud scanning or three-coordinate measurement on the actual vehicle when it is determined that there is a deviation between the vehicle posture and the target requirement during the actual vehicle testing phase, and inputs the results into the constructed posture automatic comparison and analysis system. The point cloud scanning or three-coordinate measurement results are then compared and analyzed with the 3D data of the entire vehicle to determine the problem parts, mark the problem parts, and generate a self-inspection report at the same time. The posture inspection and notification are automatically performed, and the problem parts and deviation values ​​are discovered so that designers can analyze and improve them, effectively improving work efficiency, and verifying the rationality of the component tolerance definition to improve design quality.

[0073] In a second aspect, an embodiment of the present application also provides a device for automatic comparison and analysis of vehicle postures.

[0074] In one embodiment, referring to Figure 2 , Figure 2 This is a functional module diagram of the vehicle posture automatic comparison and analysis device of this application. Figure 2 As shown, the vehicle posture automatic comparison and analysis device includes: an input module and an execution module.

[0075] The input module is used to perform point cloud scanning or three-coordinate measurement on the actual vehicle when it is determined that there is a deviation between the vehicle posture and the target requirement during the actual vehicle testing phase, and input the results into the constructed posture automatic comparison and analysis system; the execution module is used to compare and analyze the point cloud scanning or three-coordinate measurement results with the 3D data of the entire vehicle to determine the problem parts, mark the problem parts and generate a self-inspection report at the same time; wherein, the self-inspection report includes the problem parts and the deviation values ​​of the problem parts.

[0076] In a third aspect, an embodiment of the present application provides a vehicle posture automatic comparison and analysis device, which can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0077] Reference Figure 3 , Figure 3 FIG1 is a schematic diagram of the hardware structure of the vehicle posture automatic comparison and analysis device involved in the embodiment of the present application. In the embodiment of the present application, the vehicle posture automatic comparison and analysis device may include a processor, a memory, a communication interface, and a communication bus.

[0078] The communication bus may be of any type and is used to interconnect the processor, memory, and communication interface.

[0079] Communication interfaces include input / output (I / O) interfaces, physical interfaces, and logical interfaces, which are used to interconnect components within the vehicle posture automatic comparison and analysis device, as well as interfaces used to interconnect the vehicle posture automatic comparison and analysis device with other devices (such as other computing devices or user devices). Physical interfaces can be Ethernet, fiber optic, or ATM interfaces; user devices can be displays, keyboards, and other devices.

[0080] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0081] The processor may be a general-purpose processor, which may call a vehicle posture automatic comparison and analysis program stored in a memory and execute the vehicle posture automatic comparison and analysis method provided in an embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the vehicle posture automatic comparison and analysis program is called may refer to the various embodiments of the vehicle posture automatic comparison and analysis method of the present application, and will not be repeated here.

[0082] Those skilled in the art will understand that Figure 3 The hardware structure shown in the figure does not constitute a limitation to the present application and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0083] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0084] The computer-readable storage medium of the present application stores a vehicle posture automatic comparison and analysis program, wherein when the vehicle posture automatic comparison and analysis program is executed by a processor, the steps of the vehicle posture automatic comparison and analysis method as described above are implemented.

[0085] Among them, the method implemented when the vehicle posture automatic comparison and analysis program is executed can refer to the various embodiments of the vehicle posture automatic comparison and analysis method of the present application, and will not be repeated here.

[0086] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0087] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0088] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0089] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0090] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of the present application.

[0091] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for automatic comparison and analysis of vehicle posture, characterized in that: The vehicle posture automatic comparison and analysis method comprises: During the actual vehicle testing phase, if a deviation is detected between the vehicle posture and the target requirement, point cloud scanning or three-dimensional coordinate measurement is performed on the actual vehicle, and the results are input into the constructed automatic posture comparison and analysis system; Compare and analyze the point cloud scanning or three-dimensional coordinate measurement results with the 3D data of the entire vehicle to identify and mark the problematic parts and generate a self-inspection report; The self-inspection report includes problem components and deviation values ​​of the problem components.

2. The method for automatic comparison and analysis of vehicle posture according to claim 1, characterized in that: When it is determined during the actual vehicle testing phase that there is a deviation between the vehicle posture and the target requirement, point cloud scanning or three-dimensional coordinate measurement is performed on the actual vehicle, and the results are input into the constructed posture automatic comparison and analysis system, specifically including: During the vehicle model development process, if the vehicle posture is judged not to meet the target requirements during the actual vehicle testing phase, the vehicle posture is considered abnormal; Perform point cloud scanning or three-coordinate measurement on the actual vehicle to obtain point cloud data or three-coordinate data, and input the obtained point cloud data or three-coordinate data into a pre-built automatic posture comparison and analysis system.

3. The method for automatic comparison and analysis of vehicle posture according to claim 2, characterized in that: The point cloud scanning or three-dimensional coordinate measurement results are compared and analyzed with the 3D data of the entire vehicle to determine the problem parts, mark the problem parts and generate a self-inspection report, which specifically includes: The automatic posture comparison and analysis system compares and analyzes point cloud data or three-coordinate data with the 3D data of the entire vehicle, determines deviations, and identifies problematic parts. Mark the problem parts and their connected parts, and generate a self-inspection report.

4. The method for automatic comparison and analysis of vehicle postures according to claim 1, wherein: The vehicle posture automatic comparison and analysis method further includes calibrating the posture automatic comparison and analysis system; The verification of the automatic posture comparison and analysis system specifically includes: Import the component inspection dimension data into the posture automatic comparison and analysis system, which will then calculate the position coordinates and dimension parameters of each component after assembly. The calculation results are compared and analyzed with the 3D data of the entire vehicle to obtain the problem parts and their deviation values, which are then compared with the posture deviation values ​​of the actual vehicle test to realize the calibration of the automatic posture comparison and analysis system.

5. The method for automatic comparison and analysis of vehicle posture according to claim 1, characterized in that: The vehicle posture automatic comparison and analysis method further includes: Actively input the measured dimensional values ​​of parts into the automatic posture comparison and analysis system; The automatic posture comparison and analysis system automatically measures and cumulatively calculates the dimensions of each key control point of the vehicle based on the assembly relationship of the vehicle's 3D data and compares it with the vehicle's 3D data to obtain the deviation value of the key control point; The obtained critical control point deviation value is compared with the critical control point design tolerance to obtain the problem parts, mark the problem parts and the connected parts of the problem parts, and generate a self-inspection report at the same time.

6. The method for automatic comparison and analysis of vehicle posture according to claim 1, characterized in that: The vehicle posture automatic comparison and analysis method further includes: Import the tolerance values ​​of each component into the automatic posture comparison and analysis system; The automatic posture comparison and analysis system performs cumulative calculations to obtain the dimensions and tolerances of each key control point of the vehicle based on the tolerances of each component. The dimensions and tolerance values ​​of each key control point of the vehicle are compared with the design tolerances of the key control points to obtain problematic parts, mark the problematic parts and the connected parts of the problematic parts, and generate a self-inspection report.

7. The method for automatic comparison and analysis of vehicle postures according to claim 1, characterized in that: After generating the self-test report, it also includes: Based on the self-inspection report, the problem component and its connected components are disassembled and detailed measurements are performed to obtain accurate deviation values.

8. A vehicle posture automatic comparison and analysis device, characterized in that: The vehicle posture automatic comparison and analysis device comprises: The input module is used to perform point cloud scanning or three-dimensional coordinate measurement on the actual vehicle when it is determined that there is a deviation between the vehicle posture and the target requirement during the actual vehicle testing phase, and input the results into the constructed automatic posture comparison and analysis system; The execution module is used to compare and analyze the point cloud scanning or three-dimensional coordinate measurement results with the 3D data of the entire vehicle to identify and mark the problematic parts and generate a self-inspection report; The self-inspection report includes problem components and deviation values ​​of the problem components.

9. A vehicle posture automatic comparison and analysis device, characterized in that: The vehicle posture automatic comparison and analysis device includes a processor, a memory, and a vehicle posture automatic comparison and analysis program stored in the memory and executable by the processor, wherein when the vehicle posture automatic comparison and analysis program is executed by the processor, the steps of the vehicle posture automatic comparison and analysis method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a vehicle posture automatic comparison and analysis program, wherein when the vehicle posture automatic comparison and analysis program is executed by the processor, the steps of the vehicle posture automatic comparison and analysis method according to any one of claims 1 to 7 are implemented.

Images