Gap detection method and device, electronic equipment and storage medium

Abstract

The invention relates to the field of automobiles, and discloses a gap detection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the electronic sample vehicle data of a to-be-detected vehicle and a preset gap detection rule, and the gap detection rule comprises a gap threshold value corresponding to a part combination pair; according to the electronic sample car data and the gap detection rule, gap detection is carried out on the component combination pair in the electronic sample car, a gap detection result is obtained, the gap detection result comprises gap detection information of a target component combination pair, and the target component combination pair is the component combination pair to be subjected to gap optimization. The gap detection efficiency and accuracy are improved, and the gap detection cost is reduced.

Description

Technical Field

[0001] The present application relates to the automotive field, and in particular to a gap detection method, device, electronic equipment and storage medium. Background Art

[0002] At present, digital transformation is being carried out in the automotive field, and the problem inspection in the early design stage is particularly important. For example, many vehicle abnormal noise problems are caused by insufficient clearance or interference. In traditional abnormal noise development, the control and improvement of such clearances are often carried out after the test prototype is produced and abnormal noise occurs during operation. The control of abnormal noise clearance based on virtual electronic prototypes in the early stage is weak, and the clearance inspection at the electronic prototype stage relies on manual work, which is costly, inefficient, and the clearance detection is not accurate enough.

[0003] Therefore, how to improve the efficiency of gap detection, improve accuracy and reduce detection costs has become an urgent problem to be solved. Summary of the invention

[0004] Based on this, it is necessary to provide a gap detection method, device, electronic device and storage medium to address the above technical problems, so as to improve the efficiency of gap detection, improve accuracy and reduce detection costs.

[0005] A gap detection method, comprising:

[0006] Acquire electronic sample vehicle data of a vehicle to be inspected and preset gap detection rules, wherein the gap detection rules include gap thresholds corresponding to component combinations;

[0007] According to the electronic prototype data and the gap detection rules, the component combination pairs in the electronic prototype are gap detected to obtain the gap detection results, which include the gap detection information of the target component combination pairs, and the target component combination pairs are the component combination pairs to be gap optimized.

[0008] A gap detection device, comprising:

[0009] An acquisition module is used to acquire electronic sample vehicle data of a vehicle to be detected and preset gap detection rules, wherein the gap detection rules include gap thresholds corresponding to component combinations;

[0010] The gap detection module is used to perform gap detection on the component combination pairs in the electronic sample vehicle according to the electronic sample vehicle data and the gap detection rules to obtain the gap detection results. The gap detection results include the gap detection information of the target component combination pairs. The target component combination pairs are the component combination pairs to be gap optimized.

[0011] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned gap detection method are implemented.

[0012] A computer-readable storage medium stores a computer program, which implements the steps of the above-mentioned gap detection method when executed by a processor.

[0013] In summary, the present application proposes a gap detection method, device, electronic device and storage medium, which automatically detects the gaps of various component combinations on the electronic sample vehicle to be detected based on the preset gap detection rules, and obtains the corresponding gap detection results, so as to determine the component combination pairs to be optimized based on the gap detection results. The gap detection efficiency and accuracy are improved, and the gap detection cost is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0015] Figure 1 is a flow chart of a gap detection method according to an exemplary embodiment of the present application;

[0016] Figure 2 is a flow chart of a gap detection method according to another exemplary embodiment of the present application;

[0017] Figure 3 is an exemplary cross-sectional schematic diagram;

[0018] Figure 4 is an exemplary line-shaped cross-sectional view;

[0019] Figure 5 is a block diagram of a gap detection device according to an exemplary embodiment of the present application;

[0020] Figure 6 It is a schematic diagram of the structure of an electronic device according to an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. The embodiments described by reference to the drawings are exemplary and are intended to be used to explain the present application, and cannot be understood as limiting the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0022] Figure 1 is a flow chart of a gap detection method according to an exemplary embodiment of the present application. Figure 1 As shown, the gap detection method includes the following steps:

[0023] S101, obtaining electronic sample vehicle data of a vehicle to be detected and a preset gap detection rule, wherein the gap detection rule includes a gap threshold corresponding to a component combination pair.

[0024] Obtain the electronic prototype data of the vehicle to be tested. The electronic prototype can be understood as a virtual electronic prototype built in the vehicle development process. The electronic prototype includes the digital and analog structure of all the components. The electronic prototype data includes the data of each assembly of the prototype, which can include geometric data and functional data. The vehicle assembly is the component system and mechanism of the vehicle. It can be understood as a general term for a component system that is composed of a series of products and can realize specific functions, such as the engine assembly, steering assembly, frame, chassis, etc. The assembly data includes the data of each component that constitutes the assembly.

[0025] In practice, it is necessary to ensure that the gaps between the various components in the vehicle meet the corresponding requirements to ensure that there is no collision or interference between the components and to ensure the realization of functions. In addition, gaps are set between some components to provide heat dissipation space for the components. When the gaps between components do not meet the requirements, abnormal noises will be generated during actual operation and even affect the realization of functions. Therefore, it is necessary to avoid the above problems through gap detection at the electronic prototype stage before the vehicle is put into production.

[0026] In the embodiment of the present application, a gap detection rule is pre-set, and the gap detection rule may include gap thresholds corresponding to different component combinations. The component combination pair includes different components with gap requirements, and there is a matching relationship between these components or they are adjacent components to each other. For example, the component combination pair may be an air duct and a CCB, an air duct and a decorative panel, a decorative panel and a decorative panel, a foot and a surrounding component, etc.

[0027] In practice, corresponding gap detection rules can be set based on specific application scenarios. For example, in the scenario of abnormal noise gap detection, the gap threshold is set according to the minimum gap requirement when no abnormal noise occurs between components, and the corresponding gap detection rule is generated; in the scenario of interference gap detection, the gap threshold is set according to the minimum gap requirement when no interference occurs between components, and the corresponding gap detection rule is generated. As a feasible implementation method, the gap detection rule can be used to determine whether there is a risk of abnormal noise in a combination of components, and the gap threshold can be determined based on the minimum gap value corresponding to the absence of abnormal noise risk in the combination of components. Table 1 is a preset gap detection rule for abnormal noise detection on an electronic prototype vehicle.

[0028] Rule number Component combination pair Gap Detection Rules 1 Duct and CCB ≥5mm 2 Ducts and trims ≥5mm 3 Trim and Panel ≥3mm 4 Card feet and surrounding parts ≥3mm …… …… ……

[0029] Table 1

[0030] Therefore, by using preset gap detection rules for gap detection, it is possible to automatically detect whether there is abnormal noise between various components of the vehicle, which can reduce the ability requirements for abnormal noise detection personnel, reduce the cost of abnormal noise detection, and improve the efficiency of abnormal noise detection.

[0031] As a feasible implementation method, the gap requirements of each component are determined according to vehicle information such as vehicle model, characteristics and types of components, and gap detection rules are set based on this. Furthermore, the engineering experience of gap detection in practice can be integrated into the gap detection rules, making the gap detection more comprehensive and more in line with the requirements in actual applications, thereby enhancing the accuracy of gap detection.

[0032] S102, performing gap detection on component combination pairs in the electronic prototype vehicle according to the electronic prototype vehicle data and gap detection rules to obtain gap detection results, wherein the gap detection results include gap detection information of a target component combination pair, and the target component combination pair is a component combination pair to be gap optimized.

[0033] The electronic prototype vehicle data corresponds to a three-dimensional electronic prototype vehicle model, and the gap detection of each component in the electronic prototype vehicle model can be performed based on the preset gap detection rules.

[0034] Optionally, the component combination pairs recorded in the gap detection rules are used to detect whether the component combination pairs on each assembly in the electronic prototype vehicle model meet the gap requirements. In one gap detection task, only one vehicle assembly can be detected to avoid affecting the detection efficiency after loading multiple assemblies at the same time.

[0035] After detection, the component combination pair with gap abnormality is determined as the component combination pair to be gap optimized, that is, the target component combination pair. The gap detection information of the target component combination pair is added to the final gap detection result, and the gap detection result is stored for user reference.

[0036] The embodiment of the present application automatically detects whether the gaps between various vehicle components meet the gap requirements through preset gap detection rules, thereby realizing automated detection of gaps, reducing requirements for users, reducing gap detection costs, and improving gap detection efficiency and accuracy.

[0037] On the basis of the above embodiments, in order to further improve the accuracy of gap detection, the present application pre-processes the electronic sample vehicle data before gap detection. As a feasible implementation method, the electronic sample vehicle data can be pre-processed in the following manner:

[0038] Eliminate the first type of interference data in the electronic sample vehicle data; and / or

[0039] Marking the second type of interference data in the electronic sample vehicle data; and / or

[0040] Encode each component corresponding to the electronic sample vehicle data to determine the coding identification corresponding to each component;

[0041] The first type of interference data is the data corresponding to components without gap requirements, for example, data of small and soft covering components such as wiring harnesses, screws, foam and sound-absorbing cotton. The second type of interference data is the data corresponding to structures on components without gap requirements, such as the fitting surfaces on parts. By marking these fitting surfaces in advance, it is possible to avoid marking such fitting surfaces as abnormal gap risk points during the automatic gap detection based on gap detection rules, thereby avoiding affecting the accuracy of gap detection and increasing the workload of gap detection.

[0042] In addition, each component can be coded in advance according to the same rule, such as the air duct code is 1000, the CCB code is 1001, etc., so as to facilitate the subsequent statistics and recording of the gap detection results.

[0043] Based on the above embodiments, Figure 2 As shown, in the embodiment of the present application, the above step S102, "performing gap detection on the component combination pairs in the electronic sample vehicle according to the electronic sample vehicle data and the gap prediction rule to obtain the gap detection result" includes the following steps:

[0044] S201, determining a cross section of a three-dimensional model corresponding to the electronic prototype vehicle data.

[0045] The three-dimensional model corresponding to the electronic sample vehicle data is cut to obtain the cut section. As a feasible implementation method, when performing gap detection on the individual assemblies of the vehicle in sequence, the three-dimensional model corresponding to the vehicle assembly to be detected is cut to obtain the corresponding section. This avoids affecting the gap detection efficiency after loading each assembly at the same time.

[0046] The above sections include cross sections of different parts. Figure 3 An exemplary cross-sectional schematic diagram is shown.

[0047] S202, performing gap detection on the component combination pair according to the profile and gap detection rules to obtain a gap detection result.

[0048] In the embodiment of the present application, the relative positions of the components are determined based on the cross sections of the components in the section, thereby determining the gaps between the components, and completing the gap detection of the component combination pair.

[0049] For example, it is determined whether the gap between the component combination pairs meets the corresponding gap threshold requirement. If not, the component combination pair is determined as a target component combination pair, and the gap detection information of the component combination pair is added to the gap detection result.

[0050] The gap detection information of the target component combination pair may include but is not limited to the identification information, position information and component gap information of the target component combination pair. The identification information may be the name or coding identification of each component in the component combination pair, etc., which is not limited in this application. The position information may be the geometric position of the component combination pair in the vehicle assembly or the position in the section or the position of the section where the component is located, etc., which is not limited in this application. The component gap information may include but is not limited to the actual gap value of the component combination pair and the corresponding gap threshold, etc.

[0051] Based on the above embodiment, the above step S201, "determining the cross section of the three-dimensional model corresponding to the electronic prototype vehicle data" can be implemented in the following manner: adding multiple cross sections in terms of the depth and / or angle of the three-dimensional model;

[0052] Correspondingly, step S202 "perform gap detection on the component combination pairs according to the profile and gap detection rules to obtain gap detection results" further includes: according to the gap detection rules, perform gap detection on the component combination pairs in each profile respectively to obtain gap detection results for each profile.

[0053] Optionally, adding multiple sections in terms of depth and / or angle of sectioning the 3D model can be achieved by:

[0054] As a feasible implementation, when obtaining the cross-section, the cross-sections in the three directions of X, Y, and Z can be obtained to obtain the cross-section views in the three directions of X, Y, and Z. As another feasible implementation, multiple directions can be selected as needed to obtain the cross-sections in these directions respectively, such as Figure 4 As shown, it is an exemplary line-type cross-sectional view, in which A, B, C, and D represent different parts, and sections AA, BB, CC, and DD are sections at different positions in two directions).

[0055] The present application adds sections in the three directions of XYZ to perform gap detection on each section, realize multi-angle detection, and enhance the accuracy of gap detection.

[0056] As another feasible implementation, the interval distance for each sectioning operation is preset, that is, the section interval parameter is preset, and the three-dimensional model is sectioned according to the preset section interval parameter to obtain multiple sections with the preset interval distance.

[0057] This application uses preset section interval parameters to section the three-dimensional models corresponding to each assembly and each component in the sample vehicle at different depths, and performs gap detection on each section cut out, which can more accurately determine whether the gap between the component combination pairs composed of each component meets the threshold standard set in the gap detection rule. The accuracy of gap detection is increased from the depth of detection.

[0058] As another feasible implementation, the three-dimensional model may be sectioned in the X, Y and Z directions according to preset section interval parameters to obtain multiple sections with preset interval distances in the X, Y and Z directions.

[0059] In the embodiment of the present application, the preset section interval parameter can be used to determine the intervals for performing multiple sectioning operations on a 3D model (such as a prototype 3D model, an assembly 3D model, or a component 3D model) in the same direction. For example, a section is added at intervals of 5 mm or 10 mm, and sections are added in the X, Y, and Z directions.

[0060] For multiple sections cut out, the sections can be numbered in sequence, such as X0, X1..., Y0, Y1... and Z0, Z1..., so as to more conveniently count and express the sections.

[0061] This application increases the depth and angle of gap detection by adding multiple sections in the X, Y and Z directions, detects the gaps between components at different levels, and enhances the precision and accuracy of gap detection and gap assessment. Adding multiple sections can avoid missing risk points of gap abnormality due to insufficient detection sections.

[0062] On the basis of the above embodiment, when performing gap detection on component combination pairs according to the gap detection rule, the gaps between the components in each section may be detected respectively to determine the target component combination pairs and obtain the gap detection result of each section.

[0063] On the basis of the above-mentioned embodiments, the gap detection method proposed in the present application also includes the step of "outputting the gap detection result based on the preset file type".

[0064] In some embodiments, the preset file types may include, but are not limited to, images and tables.

[0065] When the preset file type is image, the gap detection result of each section can be displayed in the image corresponding to the section (such as Figure 3 and Figure 4 ), for example by means of a color or a specific gap value.

[0066] For example, the cross section of the target component combination pair can be highlighted in the image corresponding to each section, and the target component combination pair can be identified by highlighting, and the position of the target component combination pair in the section can be identified. In addition, a numerical value can be added to display the gap detection information of the target component combination pair.

[0067] When the preset file type is a table, the gap detection results corresponding to the section can be organized in a table. For example, the position of the section (such as the section coordinates) can be added to the table, and the gap detection information of the target component combination pair detected from the section can be recorded correspondingly under the section coordinates, so as to check the existing gap risk points according to the section coordinates; for another example, the detection threshold in the gap detection rule can be used as a benchmark to count the target component combination pairs that do not meet the threshold requirements on each section, and the gap detection information of each target component combination pair can be recorded accordingly, so that by selecting different gap detection rules, the position that does not meet the requirements can be output.

[0068] For example, the gap detection results are output in the form of a table. As shown in Table 2, the gap detection rule "the gap between the component combination pairs is greater than or equal to 1 mm" is selected to filter out the gap detection results corresponding to the target component combination pairs with "the gap is less than 1 mm". The name or coding identifier of the target component combination pair is displayed in the table, and the coordinates of the target component combination pair in the corresponding section are used as its position information. Table 2 is an example of a gap detection result.

[0069]

[0070] Table 2

[0071] Where X a Y b Z c and X d Y e Z f Indicates the coordinates of the corresponding section of the target component combination.

[0072] In some embodiments, the gap detection results of each section can be output, displayed and stored in sections. This is convenient for users to consult. The final gap detection result can also be determined based on the gap detection result of each section. For example, the target component combination pair determined based on each section is compared, which may include identification information comparison and gap detection information comparison. The component combination pair to be optimized for gap is finally determined through information comparison. The gap information and position information related to the component combination pair determined from each section are summarized, and the identification information is added after the summary, and finally used as the gap detection result of the target component combination pair.

[0073] In some embodiments, the training samples may be updated based on the gap detection results to train the detection model used in the gap detection process.

[0074] In summary, the gap detection method of the present application constructs preset gap detection rules based on the gap requirements of each component in different vehicle models. During gap detection, the three-dimensional model of each assembly in the electronic prototype vehicle is subjected to additional sections in depth and angle based on preset section spacing parameters, such as multiple sectioning in the XYZ direction to obtain multiple sections in the XYZ direction, and gap detection is performed on the components in each section according to the gap detection rules to obtain the gap detection results of each section to determine the gap detection results of the electronic prototype vehicle. In this way, the accuracy of gap detection is increased. Automatic detection of gaps based on preset gap detection rules can reduce the experience requirements for gap detection personnel, reduce the labor cost of gap detection, and improve the efficiency of gap detection.

[0075] Figure 5 is a block diagram of a gap detection device according to an exemplary embodiment of the present application. Figure 5 As shown, the device 500 includes: an acquisition module 501 and a gap detection module 502.

[0076] The acquisition module 501 is used to acquire the electronic sample vehicle data of the vehicle to be detected and the preset gap detection rules, wherein the gap detection rules include the gap thresholds corresponding to the component combination pairs.

[0077] The gap detection module 502 is used to perform gap detection on the component combination pairs in the electronic sample vehicle according to the electronic sample vehicle data and the gap detection rules to obtain the gap detection results. The gap detection results include the gap detection information of the target component combination pairs. The target component combination pairs are the component combination pairs to be gap optimized.

[0078] In the embodiment of the present application, the gap detection information of the target component combination pair includes identification information, position information and component gap information of the target component combination pair.

[0079] In the embodiment of the present application, the gap detection rule is used to determine whether there is a risk of abnormal noise in the component combination pair, and the gap threshold is determined according to the minimum gap value corresponding to the absence of abnormal noise risk in the component combination pair.

[0080] In an embodiment of the present application, the gap detection device also includes a preprocessing module for eliminating the first type of interference data in the electronic sample vehicle data; and / or, marking the second type of interference data in the electronic sample vehicle data; and / or, encoding each component corresponding to the electronic sample vehicle data to determine the coding identifier corresponding to each component; the first type of interference data is the data corresponding to the component with no gap requirements; the second type of interference data is the data corresponding to the structure with no gap requirements on the component.

[0081] In an embodiment of the present application, the gap detection module is further used to: determine the cross-section of the three-dimensional model corresponding to the electronic sample vehicle data; perform gap detection on the component combination according to the cross-section and gap detection rules to obtain a gap detection result.

[0082] In an embodiment of the present application, the gap detection module is further used to: slice the three-dimensional model according to a preset section spacing parameter to obtain a plurality of sections with a preset spacing distance.

[0083] In the embodiment of the present application, the gap detection module is further used to: section the three-dimensional model from three directions, namely, X, Y and Z, to obtain sections in the three directions.

[0084] In an embodiment of the present application, the gap detection module is further used to: section the three-dimensional model in the X, Y and Z directions according to preset section interval parameters, and obtain multiple sections with preset interval distances in the X, Y and Z directions.

[0085] In the embodiment of the present application, the gap detection module is further used to: perform gap detection on the component combination pairs in each section according to the gap detection rule, and obtain the gap detection result of each section.

[0086] In an embodiment of the present application, the gap detection device also includes an output module for outputting the gap detection results based on a preset file type, wherein the preset file type includes images and tables; wherein outputting the gap detection results based on the preset file type includes: when the preset file type is an image, highlighting the gap detection results corresponding to the section in the image corresponding to the section to obtain the highlighted image, and outputting the highlighted image to output the gap detection results corresponding to the section; when the preset file type is a table, organizing the gap detection results corresponding to the section in a table, and outputting the gap detection results by outputting a table recording the gap detection results.

[0087] It should be noted that the above explanation of the embodiment of the gap detection method is also applicable to the gap detection device of the embodiment of the present application, and the specific process will not be repeated here.

[0088] Each module in the above-mentioned gap detection device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module above.

[0089] In summary, the present application proposes a gap detection device, which constructs preset gap detection rules based on the gap requirements of various components in different vehicle models, and adds sections to the three-dimensional models of each assembly in the electronic prototype vehicle in terms of depth and angle during gap detection. For example, in the XYZ direction, the sections are cut based on preset section spacing parameters to obtain multiple sections in the XYZ direction respectively, and the parts in each section are gap-detected according to the gap detection rules to obtain the gap detection results of each section to determine the gap detection results of the electronic prototype vehicle. In this way, the accuracy of gap detection is increased, and the automatic detection of gaps based on preset gap detection rules can reduce the experience requirements for gap detection personnel, reduce the labor cost of gap detection, and improve the efficiency of gap detection.

[0090] In order to implement the above embodiment, the present application embodiment further proposes an electronic device 600, such as Figure 6 As shown, the electronic device 600 may specifically include: a memory 601, a processor 602, and a computer program stored in the memory 601 and executable on the processor 602. When the processor 602 executes the program, the steps of the gap detection method shown in the above embodiment are implemented.

[0091] In summary, the present application proposes an electronic device, which constructs preset gap detection rules based on the gap requirements of various components in different vehicle models, and adds sections to the three-dimensional models of each assembly in the electronic prototype vehicle in depth and angle during gap detection, such as cutting in the XYZ direction based on preset section spacing parameters to obtain multiple sections in the XYZ direction, and performs gap detection on the components in each section according to the gap detection rules to obtain the gap detection results of each section to determine the gap detection results of the electronic prototype vehicle. In this way, the accuracy of gap detection is increased, and the automatic detection of gaps based on preset gap detection rules can reduce the experience requirements for gap detection personnel, reduce the labor cost of gap detection, and improve the efficiency of gap detection.

[0092] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0093] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0094] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A gap detection method, characterized in that: include: Acquire electronic sample vehicle data of a vehicle to be detected and preset gap detection rules, wherein the gap detection rules include gap thresholds corresponding to component combinations; According to the electronic prototype vehicle data and the gap detection rules, gap detection is performed on the component combination pairs in the electronic prototype vehicle to obtain gap detection results, wherein the gap detection results include gap detection information of a target component combination pair, and the target component combination pair is the component combination pair for which gap optimization is to be performed.

2. The method according to claim 1, characterized in that The gap detection information of the target component combination pair includes identification information, position information and component gap information of the target component combination pair.

3. The method according to claim 1, characterized in that The gap detection rule is used to determine whether the component combination pair has an abnormal sound risk, and the gap threshold is determined according to the lowest gap value corresponding to the component combination pair when there is no abnormal sound risk.

4. The method according to claim 1, characterized in that: The method of performing gap detection on the component combination pair in the electronic sample vehicle according to the electronic sample vehicle data and the gap detection rule and obtaining the gap detection result includes: Eliminate the first type of interference data in the electronic sample vehicle data; and / or, mark the second type of interference data in the electronic sample vehicle data; and / or, encode each component corresponding to the electronic sample vehicle data to determine the coding identifier corresponding to each component; The first type of interference data is data corresponding to a component with no gap requirement; the second type of interference data is data corresponding to a structure on a component with no gap requirement.

5. The method according to claim 1, characterized in that The step of performing gap detection on the component combination pairs in the electronic sample vehicle according to the electronic sample vehicle data and the gap prediction rule to obtain a gap detection result includes: Determining a cross section of a three-dimensional model corresponding to the electronic prototype vehicle data; According to the cross section and the gap detection rule, gap detection is performed on the component combination pair to obtain a gap detection result.

6. The method according to claim 5, characterized in that Determining the cross section of the three-dimensional model corresponding to the electronic prototype vehicle data includes: The three-dimensional model is sectioned according to a preset section interval parameter to obtain a plurality of sections with a preset interval distance.

7. The method according to claim 5, characterized in that Determining the cross section of the three-dimensional model corresponding to the electronic prototype vehicle data includes: The three-dimensional model is sectioned from the X, Y and Z directions respectively to obtain the sections in the X, Y and Z directions.

8. The method according to claim 7, characterized in that The three-dimensional model is sectioned from three directions, namely, X, Y and Z, to obtain the sections in the three directions, namely, X, Y and Z, including: According to the preset section interval parameters, the three-dimensional model is sectioned in the X, Y and Z directions respectively to obtain a plurality of sections with preset interval distances in the X, Y and Z directions respectively.

9. The method according to any one of claims 6 to 8, characterized in that: The step of performing gap detection on the component combination pair according to the cross section and the gap detection rule to obtain a gap detection result includes: According to the gap detection rule, gap detection is performed on each component combination pair in the cross section to obtain a gap detection result for each cross section.

10. The method according to claim 9, characterized in that Also includes: Outputting the gap detection result based on a preset file type, wherein the preset file type includes an image and a table; Wherein, outputting the gap detection result based on a preset file type includes: When the preset file type is an image, the gap detection result corresponding to the section is highlighted in the image corresponding to the section to obtain a highlighted image, and the gap detection result corresponding to the section is output by outputting the highlighted image; When the preset file type is a table, the gap detection results corresponding to the profile are sorted in a table, and the gap detection results are output by outputting the table recording the gap detection results.

11. A gap detection device, characterized in that: include: An acquisition module, used to acquire electronic sample vehicle data of a vehicle to be detected and a preset gap detection rule, wherein the gap detection rule includes a gap threshold value corresponding to a component combination pair; A gap detection module is used to perform gap detection on the component combination pairs in the electronic sample vehicle according to the electronic sample vehicle data and the gap detection rules to obtain gap detection results, wherein the gap detection results include gap detection information of the target component combination pairs, and the target component combination pairs are the component combination pairs to be gap optimized.

12. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the gap detection method according to any one of claims 1 to 10 are implemented.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the gap detection method as described in any one of claims 1 to 10 are implemented.

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