Method and system for optimizing assembly deviation of electric vehicle door

Abstract

The invention provides an electric vehicle door assembly deviation optimization method and system, and the method comprises the steps: carrying out the three-dimensional scanning of a target vehicle door and a target vehicle body, and collecting a corresponding first three-dimensional size and a corresponding second three-dimensional size; generating a corresponding target vehicle door model in real time according to the first three-dimensional size in a preset three-dimensional space through a preset three-dimensional program, and generating a corresponding target vehicle body model in real time according to the second three-dimensional size; the target vehicle door model is assembled on the target vehicle body model in a simulated mode through a preset three-dimensional program, so that the simulated assembly deviation between the target vehicle door model and the target vehicle body model is detected in real time, and whether the simulated assembly deviation is larger than a preset deviation threshold value or not is judged in real time; and if yes, optimizing the simulated assembly deviation immediately to generate a corresponding optimized assembly deviation in real time, and completing assembly between the target vehicle door and the target vehicle body according to the optimized assembly deviation. The assembly deviation can be adjusted in real time, and the assembly efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicles, and in particular to a method and system for optimizing assembly deviations of electric vehicle doors. Background Art

[0002] With the advancement of science and technology and the rapid development of productivity, people's production technology for new energy electric vehicles has become increasingly mature, and new energy electric vehicles have become popular in people's daily lives, which has made people's lives more convenient.

[0003] Among them, the car door is one of the important parts of the car, which is used to ensure the safety of the people in the car. Specifically, during the installation process of the existing car door, it is necessary to ensure that the installation accuracy of the car door is within a reasonable range to eliminate the safety hazards of the car door.

[0004] Furthermore, most of the existing technologies collect the installation parameters of the vehicle door, and use the existing data fusion algorithm to analyze the corresponding installation deviations in real time based on the installation parameters, and then make corresponding adjustments. However, since the existing data fusion algorithm may have a certain response delay and cannot immediately adjust the generated deviations, problems such as inaccurate assembly precision and high maintenance costs are likely to occur, which correspondingly reduces the installation efficiency of the vehicle door. Summary of the Invention

[0005] Based on this, the purpose of the present invention is to provide an electric door assembly deviation optimization method and system to solve the problem that the existing technology cannot immediately adjust the generated deviation, resulting in inaccurate assembly precision.

[0006] The first aspect of the embodiment of the present invention proposes: A method for optimizing assembly deviation of an electric door, wherein the method comprises: When the target door and the target body are detected in real time to be located in the detection area, the target door and the target body are respectively three-dimensionally scanned to collect corresponding first three-dimensional dimensions and second three-dimensional dimensions; Generate a corresponding target door model in real time according to the first three-dimensional size and a corresponding target vehicle body model in real time according to the second three-dimensional size in a preset three-dimensional space through a preset three-dimensional program; The target door model is simulated and assembled onto the target vehicle body model using the preset three-dimensional program to detect a simulated assembly deviation between the target door model and the target vehicle body model in real time, and to determine in real time whether the simulated assembly deviation is greater than a preset deviation threshold; If it is determined in real time that the simulated assembly deviation is greater than the preset deviation threshold, the simulated assembly deviation is immediately optimized to generate a corresponding optimized assembly deviation in real time, and the assembly between the target door and the target body is completed according to the optimized assembly deviation.

[0007] The beneficial effects of the present invention are as follows: By performing three-dimensional scanning on the target door and the target body in real time, an equal-proportion target door model and a target body model can be created in real time. Based on this, the current target door model can be simulated and assembled onto the current target body model through existing three-dimensional programs, so that the simulated assembly deviation between the two can be detected in real time. Based on this, real-time judgment can be made, and when it is determined that the simulated assembly deviation is greater than the preset deviation threshold, corresponding optimization processing can be immediately performed, so that an optimized assembly deviation that meets the actual assembly requirements can be finally generated, and the real-time assembly between the target door and the target body can be finally completed according to the optimized assembly deviation, so that the adjustment of the assembly deviation can be immediately completed, improving the efficiency.

[0008] Further, the step of simulating and assembling the target door model onto the target body model through the preset three-dimensional program to detect the simulated assembly deviation between the target door model and the target body model in real time includes: When the target body model is obtained in real time, a target installation area adapted to the target door model is detected in real time on the target body model; The first edge contour corresponding to the target installation area and the first center point corresponding to the first edge contour are detected in real time, and the second edge contour corresponding to the target door model and the second center point corresponding to the second edge contour are detected in real time; The target door model and the target body model are assembled according to the first edge contour and the second edge contour to detect the simulated assembly deviation in real time.

[0009] Further, the step of assembling the target door model and the target body model according to the first edge contour and the second edge contour to detect the simulated assembly deviation in real time includes: When the first center point and the second center point are respectively obtained, a mapping relationship between the first center point and the second center point is constructed in real time; The first edge contour and the second edge contour are aligned according to the mapping relationship, and an assembly trajectory between the target door model and the target body model is generated in real time; The target door model is correspondingly assembled onto the target body model according to the assembly trajectory, and the simulated assembly deviation is detected in real time.

[0010] Further, the step of detecting the simulated assembly deviation in real time includes: When it is detected in real time that the target door model is correspondingly assembled onto the target body model, the target door model and the target body model are scanned for coincidence to detect in real time the contact area generated corresponding to each other between the target door model and the target body model; The coincidence edges generated corresponding to each other between the target door model and the target body model are scanned comprehensively to detect in real time the assembly gap generated corresponding to each other between the target door model and the target body model; The simulated assembly deviation is calculated in real time according to the contact area and the assembly gap.

[0011] Further, the expression of the preset algorithm for calculating the simulated assembly deviation in real time according to the contact area and the assembly gap is:

[0012] where G represents the assembly gap, A represents the contact area, R represents the cumulative number of assembly times, T represents the temperature coefficient, α , β , γ , δ respectively represent different weights, G0 represents the standard assembly gap, and A0 represents the standard contact area.

[0013] Further, the step of immediately optimizing the simulated assembly deviation to generate the corresponding optimized assembly deviation in real time includes: When it is judged in real time that the simulated assembly deviation is greater than the preset deviation threshold, the assembly relationship between the target door model and the target body model is optimized in real time through the preset 3D program to increase in real time the contact area between the target door model and the target body model; The assembly gap between the target door model and the target body model is reduced in real time through the preset 3D program to generate the optimized assembly deviation in real time according to the increased contact area and the reduced assembly gap.

[0014] Further, the step of generating the optimized assembly deviation in real time according to the increased contact area and the reduced assembly gap includes: The increased contact area and the reduced assembly gap are correspondingly input into the preset algorithm; Output the optimized assembly deviation in real time through the preset algorithm.

[0015] The second aspect of the embodiments of the present invention proposes: An electric vehicle door assembly deviation optimization system, wherein the system includes: An acquisition module, configured to perform three-dimensional scanning on the target door and the target body respectively when it is detected in real time that the target door and the target body are in the detection area, so as to respectively acquire corresponding first three-dimensional dimensions and second three-dimensional dimensions; A processing module, configured to generate a corresponding target door model in real time according to the first three-dimensional dimension and a corresponding target body model in real time according to the second three-dimensional dimension in a preset three-dimensional space through a preset three-dimensional program; A judgment module, configured to simulate and assemble the target door model onto the target body model through the preset three-dimensional program to detect the simulated assembly deviation between the target door model and the target body model in real time, and judge in real time whether the simulated assembly deviation is greater than a preset deviation threshold; An optimization module, configured to, if it is judged in real time that the simulated assembly deviation is greater than the preset deviation threshold, immediately perform optimization processing on the simulated assembly deviation to generate a corresponding optimized assembly deviation in real time, and complete the assembly between the target door and the target body according to the optimized assembly deviation.

[0016] Further, the judgment module is specifically configured to: When the target body model is acquired in real time, a target installation area adapted to the target door model is detected in real time on the target body model; The first edge contour corresponding to the target installation area and the first center point corresponding to the first edge contour are detected in real time, and the second edge contour corresponding to the target door model and the second center point corresponding to the second edge contour are detected in real time; The target door model and the target body model are assembled according to the first edge contour and the second edge contour to detect the simulated assembly deviation in real time.

[0017] Further, the judgment module is specifically configured to: When the first center point and the second center point are respectively acquired, a mapping relationship between the first center point and the second center point is constructed in real time; The first edge contour and the second edge contour are aligned according to the mapping relationship, and an assembly trajectory between the target door model and the target body model is generated in real time; Assemble the target door model onto the target body model according to the assembly trajectory, and detect the simulated assembly deviation in real time.

[0018] Further, the judgment module is specifically configured to: When it is detected in real time that the target door model is assembled onto the target body model, perform a coincidence scan on the target door model and the target body model to detect in real time the contact area generated between the target door model and the target body model; Perform a full scan on the coincidence edges generated between the target door model and the target body model to detect in real time the assembly gap generated between the target door model and the target body model; Calculate the simulated assembly deviation in real time according to the contact area and the assembly gap.

[0019] Further, the expression of the preset algorithm for calculating the simulated assembly deviation in real time according to the contact area and the assembly gap is:

[0020] Wherein, G represents the assembly gap, A represents the contact area, R represents the cumulative number of assembly times, T represents the temperature coefficient, α , β , γ , δ respectively represent different weights, G0 represents the standard assembly gap, and A0 represents the standard contact area.

[0021] Further, the optimization module is specifically configured to: When it is judged in real time that the simulated assembly deviation is greater than the preset deviation threshold, optimize the assembly relationship between the target door model and the target body model in real time through the preset 3D program to increase the contact area between the target door model and the target body model in real time; Reduce the assembly gap between the target door model and the target body model in real time through the preset 3D program, and generate the optimized assembly deviation in real time according to the increased contact area and the reduced assembly gap.

[0022] Further, the optimization module is specifically configured to: Input the increased contact area and the reduced assembly gap into the preset algorithm correspondingly; Output the optimized assembly deviation in real time through the preset algorithm.

[0023] The third aspect of the embodiments of the present invention proposes: A computer includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method for optimizing the assembly deviation of an electric vehicle door as described above is implemented.

[0024] In the fourth aspect of the embodiments of the present invention, it is proposed that: A readable storage medium stores a computer program thereon. When the program is executed by a processor, the method for optimizing the assembly deviation of an electric vehicle door as described above is implemented.

[0025] The additional aspects and advantages of the present invention will be partly given in the following description, partly will become obvious from the following description, or will be understood through the practice of the present invention. Description of the Drawings

[0026] Figure 1 It is a flowchart of the method for optimizing the assembly deviation of an electric vehicle door provided by the first embodiment of the present invention; Figure 2 It is a structural block diagram of the system for optimizing the assembly deviation of an electric vehicle door provided by the third embodiment of the present invention.

[0027] The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings. Specific Embodiments

[0028] To facilitate the understanding of the present invention, the present invention will be described more comprehensively below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided to make the disclosure of the present invention more thorough and comprehensive.

[0029] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or there may also be a middle element. When an element is considered to be "connected" to another element, it can be directly connected to the other element or there may be a middle element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are only for the purpose of illustration.

[0030] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs. The terms used in the description of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0031] Please refer to Figure 1, shown is the electric vehicle door assembly deviation optimization method provided by the first embodiment of the present invention. The electric vehicle door assembly deviation optimization method provided by this embodiment can adjust the assembly deviation between the door and the vehicle body in real time, correspondingly improving the assembly efficiency.

[0032] Specifically, this embodiment provides: An electric vehicle door assembly deviation optimization method, specifically including the following steps: Step S10, when it is detected in real time that the target door and the target vehicle body are in the detection area, perform three-dimensional scanning on the target door and the target vehicle body respectively to collect the corresponding first three-dimensional size and the second three-dimensional size; Among them, it should be noted that existing new energy electric vehicles are composed of many components, so precise assembly of each component is required. Among them, the assembly of the door and the vehicle body is one of the important assembly links, and the size of its assembly accuracy can directly affect the safety of the vehicle occupants. Based on this, in order to accurately complete the assembly between the vehicle body and the door, the present invention will pre-set a detection area in the production line and complete the assembly of the door and the vehicle body in this detection area. Specifically, when the target door and the target vehicle body are detected in real time in this detection area, at this time, the current target door and the target vehicle body will be immediately subjected to three-dimensional scanning through a pre-set camera array, and the first three-dimensional size corresponding to the current target door and the second three-dimensional size corresponding to the current target vehicle body can be respectively collected for subsequent processing.

[0033] Step S20, generate a corresponding target door model in a preset three-dimensional space according to the first three-dimensional size and a corresponding target vehicle body model according to the second three-dimensional size through a preset three-dimensional program; Among them, it should be noted that after obtaining the required first three-dimensional size and the second three-dimensional size through the above steps, at this time, a corresponding target door model can be created in real time according to the current first three-dimensional size through existing three-dimensional programs such as ug or solidworks. Similarly, a corresponding target vehicle body model can be created in real time according to the current second three-dimensional size for subsequent processing.

[0034] Step S30, simulate the assembly of the target door model onto the target vehicle body model through the preset three-dimensional program to detect the simulated assembly deviation between the target door model and the target vehicle body model in real time, and determine in real time whether the simulated assembly deviation is greater than a preset deviation threshold; Among them, it should be noted that existing 3D programs are all equipped with corresponding simulation functions. Based on this, in order to truly simulate the actual assembly situation, the present invention will immediately simulate and assemble the current target door model onto the current target body model through the existing 3D program. During this process, the simulation assembly deviation generated between the current target door model and the current target body model can be detected in real time. Among them, it should be pointed out that the magnitude of this simulation assembly deviation can directly reflect the magnitude of the deviation generated during the actual assembly of the above-mentioned target door and the above-mentioned target body. Based on this, the present invention needs to judge in real time whether this simulation assembly deviation meets the requirements. Specifically, it is to judge in real time whether the current simulation assembly deviation is greater than a preset deviation threshold set in advance, and perform subsequent operations in real time according to the judgment result for subsequent processing.

[0035] Step S40, if it is judged in real time that the simulation assembly deviation is greater than the preset deviation threshold, immediately optimize the simulation assembly deviation to generate a corresponding optimized assembly deviation in real time, and complete the assembly between the target door and the target body according to the optimized assembly deviation.

[0036] Among them, it should be noted that if it is judged in real time that the current simulation assembly deviation is greater than the deviation threshold set in advance, it can directly indicate that the error of the current simulation assembly deviation is large, that is, the assembly error between the above-mentioned target door and the target body is large. Based on this, the present invention can immediately optimize the current simulation assembly deviation and generate a corresponding optimized assembly deviation in real time. Based on this, finally, the assembly between the current target door and the target body is completed in real time according to this optimized assembly deviation. Correspondingly, if it is judged in real time that the current simulation assembly deviation is less than the deviation threshold set in advance, it can directly indicate that the error of the current simulation assembly deviation is small and can be directly assembled for subsequent processing.

[0037] Second Embodiment Furthermore, the step of simulating and assembling the target door model onto the target body model through the preset 3D program to detect the simulation assembly deviation between the target door model and the target body model in real time includes: When the target body model is obtained in real time, a target installation area adapted to the target door model is detected in real time on the target body model; The first edge contour corresponding to the target installation area and the first center point corresponding to the first edge contour are detected in real time, and the second edge contour corresponding to the target door model and the second center point corresponding to the second edge contour are detected in real time; Complete the assembly of the target door model and the target body model according to the first edge profile and the second edge profile, so as to detect the simulated assembly deviation in real time.

[0038] It should be noted that, in order to objectively and accurately simulate the simulated assembly deviation between the current target door model and the current target body model, specifically, the present invention needs to first detect in real time the target installation area on the current target body model that fits the current target door model. Based on this, in order to facilitate subsequent installation, it is necessary to clarify the corresponding assembly reference at this time. Among them, the present invention will detect in real time the first edge profile corresponding to the current target installation area. Similarly, the second edge profile corresponding to the current target door model will be detected in real time. At the same time, in order to facilitate subsequent precise installation, the first center point corresponding to the current first edge profile will also be determined at this time. Similarly, the second center point corresponding to the current second edge profile will be determined in real time. Based on this, complete the subsequent assembly according to the current first edge profile and the second edge profile in real time, so as to facilitate subsequent processing.

[0039] Further, the step of completing the assembly of the target door model and the target body model according to the first edge profile and the second edge profile to detect the simulated assembly deviation in real time includes: When the first center point and the second center point are respectively obtained, construct a mapping relationship between the first center point and the second center point in real time; Align the first edge profile and the second edge profile according to the mapping relationship, and generate an assembly trajectory between the target door model and the target body model in real time; Assemble the target door model to the target body model according to the assembly trajectory, and detect the simulated assembly deviation in real time.

[0040] It should be noted that, after obtaining the required first center point and second center point respectively through the above steps, the corresponding relationship between the current first edge profile and the current second edge profile can be directly determined according to the current first center point and second center point at this time, that is, the installation positions of the current two can be corresponding. Based on this, after completing the alignment process of the current first edge profile and the second edge profile, an assembly trajectory between the current target door model and the target body model can be generated in real time through an existing three-dimensional program at this time, that is, the specific assembly route. According to this assembly route, the target door model can be objectively and accurately assembled to the current target body model to facilitate subsequent processing.

[0041] Further, the step of detecting the simulated assembly deviation in real time includes: When it is detected in real time that the target door model is assembled to the target body model, perform a coincidence scan on the target door model and the target body model to detect in real time the contact area generated between the target door model and the target body model; Perform a full scan on the coincidence edges generated between the target door model and the target body model to detect in real time the assembly gap generated between the target door model and the target body model; Calculate the simulated assembly deviation in real time according to the contact area and the assembly gap.

[0042] It should be noted that when it is detected in real time that the target door model is assembled to the target body model in real time, corresponding real-time detection is required at this time. Specifically, the existing scanning program can be used to immediately perform a coincidence scan on the current target door model and the target body model. During the scanning process, the contact area generated between the current target door model and the current target body model, that is, the overlapping area of the two, can be detected in real time. Correspondingly, for the convenience of subsequent comprehensive analysis, it is also necessary to detect in real time the coincidence edges generated between the current target door model and the current target body model at this time, and perform corresponding full scans, so that the assembly gap generated between the current target door model and the current target body model can be detected in real time. Based on this, the present invention will immediately input the current contact area and the current assembly gap into the pre-set algorithm in real time, and can finally output the simulated assembly deviation through this algorithm for subsequent processing.

[0043] Further, the expression of the preset algorithm for calculating the simulated assembly deviation in real time according to the contact area and the assembly gap is:

[0044] Wherein, G represents the assembly gap, A represents the contact area, R represents the cumulative number of assembly times, T represents the temperature coefficient, α , β , γ , δ respectively represent different weights, G0 represents the standard assembly gap, and A0 represents the standard contact area.

[0045] Further, the steps of immediately optimizing the simulated assembly deviation to generate a corresponding optimized assembly deviation in real time include: When it is determined in real time that the simulated assembly deviation is greater than the preset deviation threshold, the assembly relationship between the target door model and the target body model is optimized in real time through the preset 3D program to increase the contact area between the target door model and the target body model in real time; The assembly gap between the target door model and the target body model is reduced in real time through the preset 3D program, and the optimized assembly deviation is generated in real time according to the increased contact area and the reduced assembly gap.

[0046] It should be noted that if it is determined in real time through the above steps that the simulated assembly deviation is greater than the preset deviation threshold, it is necessary to optimize the current simulated assembly deviation at this time. Specifically, it is necessary to reduce the simulated assembly deviation in real time. Specifically, the present invention will increase the contact area between the current target door model and the target body model again on the basis of the above contact area in real time through the existing 3D program. Similarly, the present invention will also reduce the assembly gap between the current target door model and the current target body model in real time through the existing 3D program. It should be pointed out that in the existing vehicle assembly technology field, the larger the contact area between the door and the body, the higher the assembly accuracy of the two. On the contrary, the smaller the contact area, the lower the assembly accuracy of the two. Correspondingly, the larger the assembly gap between the door and the body, the lower the assembly accuracy of the two. On the contrary, the smaller the assembly gap between the door and the body, the higher the assembly accuracy of the two. Based on this, the present invention will generate the above optimized assembly deviation in real time according to the increased contact area and the reduced assembly gap for subsequent processing.

[0047] Further, the step of generating the optimized assembly deviation in real time according to the increased contact area and the reduced assembly gap includes: Input the increased contact area and the reduced assembly gap into the preset algorithm correspondingly; Output the optimized assembly deviation in real time through the preset algorithm.

[0048] It should be noted that after finally obtaining the required increased contact area and reduced assembly gap through the above steps, similarly, they can be input into the above preset algorithm again, and a changed assembly deviation can be output correspondingly, and this assembly deviation is the required optimized assembly deviation. Finally, the final assembly of the above target door and the above target body is completed according to the optimized assembly deviation, so that the assembly deviation can be adjusted in real time, and the assembly efficiency is correspondingly improved.

[0049] Please refer to Figure 2 , the third embodiment of the present invention provides: An electric vehicle door assembly deviation optimization system, wherein the system includes: A collection module, configured to perform three-dimensional scanning on the target door and the target vehicle body respectively when it is detected in real time that the target door and the target vehicle body are in the detection area, so as to respectively collect corresponding first three-dimensional dimensions and second three-dimensional dimensions; A processing module, configured to generate a corresponding target door model in real time according to the first three-dimensional dimension and a corresponding target vehicle body model in real time according to the second three-dimensional dimension in a preset three-dimensional space through a preset three-dimensional program; A judgment module, configured to simulate and assemble the target door model onto the target vehicle body model through the preset three-dimensional program to detect in real time the simulated assembly deviation between the target door model and the target vehicle body model, and to judge in real time whether the simulated assembly deviation is greater than a preset deviation threshold; An optimization module, configured to, if it is judged in real time that the simulated assembly deviation is greater than the preset deviation threshold, immediately perform optimization processing on the simulated assembly deviation to generate a corresponding optimized assembly deviation in real time, and complete the assembly between the target door and the target vehicle body according to the optimized assembly deviation.

[0050] Further, the judgment module is specifically configured to: When the target vehicle body model is obtained in real time, a target installation area adapted to the target door model is detected in real time on the target vehicle body model; The first edge contour corresponding to the target installation area and the first center point corresponding to the first edge contour are detected in real time, and the second edge contour corresponding to the target door model and the second center point corresponding to the second edge contour are detected in real time; The target door model and the target vehicle body model are assembled according to the first edge contour and the second edge contour to detect the simulated assembly deviation in real time.

[0051] Further, the judgment module is specifically configured to: When the first center point and the second center point are respectively obtained, a mapping relationship between the first center point and the second center point is constructed in real time; The first edge contour and the second edge contour are aligned according to the mapping relationship, and an assembly trajectory between the target door model and the target vehicle body model is generated in real time; The target door model is assembled onto the target vehicle body model according to the assembly trajectory, and the simulated assembly deviation is detected in real time.

[0052] Further, the judgment module is specifically configured to: When it is detected in real time that the target door model is assembled to the target body model, perform coincidence scanning on the target door model and the target body model to detect in real time the contact area generated between the target door model and the target body model; Perform a full scan on the coincidence edges generated between the target door model and the target body model to detect in real time the assembly gap generated between the target door model and the target body model; Calculate the simulated assembly deviation in real time according to the contact area and the assembly gap.

[0053] Further, the expression of the preset algorithm for calculating the simulated assembly deviation in real time according to the contact area and the assembly gap is:

[0054] where G represents the assembly gap, A represents the contact area, R represents the cumulative number of assembly times, T represents the temperature coefficient, α , β , γ , δ respectively represent different weights, G0 represents the standard assembly gap, and A0 represents the standard contact area.

[0055] Further, the optimization module is specifically used for: When it is judged in real time that the simulated assembly deviation is greater than the preset deviation threshold, optimize the assembly relationship between the target door model and the target body model in real time through the preset 3D program to increase the contact area between the target door model and the target body model in real time; Reduce the assembly gap between the target door model and the target body model in real time through the preset 3D program to generate the optimized assembly deviation in real time according to the increased contact area and the reduced assembly gap.

[0056] Further, the optimization module is specifically used for: Input the increased contact area and the reduced assembly gap into the preset algorithm correspondingly; Output the optimized assembly deviation in real time through the preset algorithm.

[0057] The fourth embodiment of the present invention provides a computer, including a memory, a processor, and a computer program stored on the memory and executable on the processor. Wherein, when the processor executes the computer program, the electric vehicle door assembly deviation optimization method described above is implemented.

[0058] The fifth embodiment of the present invention provides a readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the electric vehicle door assembly deviation optimization method as described above.

[0059] In summary, the electric vehicle door assembly deviation optimization method and system provided by the above embodiments of the present invention can adjust the assembly deviation between the vehicle door and the vehicle body in real time, and correspondingly improve the assembly efficiency.

[0060] It should be noted that the above-mentioned various modules can be functional modules or program modules, and can be implemented either by software or by hardware. For the modules implemented by hardware, the above-mentioned various modules can be located in the same processor; or the above-mentioned various modules can also be located in different processors in any combined form.

[0061] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

[0062] More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion (electronic device) having one or more wirings, a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0063] It should be understood that each part of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0064] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0065] The above-described embodiments merely represent several implementation manners of the present invention, and the description thereof is relatively specific and detailed, but should not be construed as a limitation on the scope of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the appended claims.

Claims

1. An optimization method for the assembly deviation of an electric vehicle door, characterized in that, The method includes: When it is detected in real time that the target vehicle door and the target vehicle body are in the detection area, three-dimensional scanning is respectively performed on the target vehicle door and the target vehicle body to respectively collect corresponding first three-dimensional dimensions and second three-dimensional dimensions; According to the first three-dimensional dimension, a corresponding target vehicle door model is generated in real time in a preset three-dimensional space through a preset three-dimensional program, and according to the second three-dimensional dimension, a corresponding target vehicle body model is generated in real time; The target vehicle door model is simulated and assembled onto the target vehicle body model through the preset three-dimensional program to detect in real time the simulated assembly deviation between the target vehicle door model and the target vehicle body model, and to judge in real time whether the simulated assembly deviation is greater than a preset deviation threshold; If it is judged in real time that the simulated assembly deviation is greater than the preset deviation threshold, the simulated assembly deviation is immediately optimized to generate a corresponding optimized assembly deviation in real time, and the assembly between the target vehicle door and the target vehicle body is completed according to the optimized assembly deviation.

2. The method for optimizing the assembly deviation of an electric vehicle door according to claim 1, characterized in that: The step of simulating and assembling the target vehicle door model onto the target vehicle body model through the preset three-dimensional program to detect in real time the simulated assembly deviation between the target vehicle door model and the target vehicle body model includes: When the target vehicle body model is obtained in real time, a target installation area adapted to the target vehicle door model is detected in real time on the target vehicle body model; The first edge contour corresponding to the target installation area and the first center point corresponding to the first edge contour are detected in real time, and the second edge contour corresponding to the target vehicle door model and the second center point corresponding to the second edge contour are detected in real time; The target vehicle door model and the target vehicle body model are assembled according to the first edge contour and the second edge contour to detect the simulated assembly deviation in real time.

3. The optimized method for the assembly deviation of an electric vehicle door according to claim 2, characterized in that: The step of assembling the target vehicle door model and the target vehicle body model according to the first edge contour and the second edge contour to detect the simulated assembly deviation in real time includes: When the first center point and the second center point are respectively obtained, a mapping relationship between the first center point and the second center point is constructed in real time; The first edge contour and the second edge contour are aligned according to the mapping relationship, and an assembly trajectory between the target vehicle door model and the target vehicle body model is generated in real time; The target vehicle door model is assembled onto the target vehicle body model according to the assembly trajectory, and the simulated assembly deviation is detected in real time.

4. The method for optimizing the assembly deviation of an electric vehicle door according to claim 3, characterized in that: The step of detecting the simulated assembly deviation in real time includes: When it is detected in real time that the target vehicle door model is assembled onto the target vehicle body model, the target vehicle door model and the target vehicle body model are scanned for coincidence to detect in real time the contact area generated between the target vehicle door model and the target vehicle body model. Perform a full scan on the overlapping edges generated between the target door model and the target body model to detect in real time the assembly gap generated between the target door model and the target body model. Calculate the simulated assembly deviation in real time based on the contact area and the assembly gap.

5. The optimized method for the assembly deviation of an electric vehicle door according to claim 4, wherein: The expression of the preset algorithm for calculating the simulated assembly deviation in real time based on the contact area and the assembly gap is: Among them, G represents the assembly gap, A represents the contact area, R represents the cumulative number of assembly times, T represents the temperature coefficient, α , β , γ , δ respectively represent different weights, G0 represents the standard assembly gap, and A0 represents the standard contact area.

6. The method for optimizing the assembly deviation of an electric vehicle door according to claim 5, wherein: The steps of immediately optimizing the simulated assembly deviation to generate the corresponding optimized assembly deviation in real time include: When it is determined in real time that the simulated assembly deviation is greater than the preset deviation threshold, optimize the assembly relationship between the target door model and the target body model in real time through the preset 3D program to increase the contact area between the target door model and the target body model in real time; Reduce the assembly gap between the target door model and the target body model in real time through the preset 3D program to generate the optimized assembly deviation in real time according to the increased contact area and the reduced assembly gap.

7. The method for optimizing the assembly deviation of an electric vehicle door according to claim 6, characterized in that: The steps of generating the optimized assembly deviation in real time according to the increased contact area and the reduced assembly gap include: Input the increased contact area and the reduced assembly gap into the preset algorithm correspondingly; Output the optimized assembly deviation in real time through the preset algorithm.

8. An electric vehicle door assembly deviation optimization system, characterized in that, The system includes: An acquisition module, configured to perform 3D scans on the target door and the target body respectively when it is detected in real time that the target door and the target body are in the detection area, so as to acquire the corresponding first 3D dimension and second 3D dimension respectively; A processing module, configured to generate a corresponding target door model in real time according to the first 3D dimension and generate a corresponding target body model in real time according to the second 3D dimension in a preset 3D space through a preset 3D program; A judgment module, configured to simulate the assembly of the target door model onto the target body model through the preset 3D program to detect the simulated assembly deviation between the target door model and the target body model in real time, and judge in real time whether the simulated assembly deviation is greater than the preset deviation threshold; An optimization module, configured to, if it is determined in real time that the simulated assembly deviation is greater than the preset deviation threshold, immediately optimize the simulated assembly deviation to generate the corresponding optimized assembly deviation in real time, and complete the assembly between the target door and the target body according to the optimized assembly deviation.

9. A computer, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the electric vehicle door assembly deviation optimization method according to any one of claims 1 to 7.

10. A readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the electric vehicle door assembly deviation optimization method according to any one of claims 1 to 7.

Images