Digital Management System and Method for Motor Vehicle Dismantling and Assembly Integration Based on Big Data

Abstract

The present invention discloses a digital management system and method for vehicle disassembly and assembly integration based on big data, which relates to the technical field of vehicle reuse parts management, and includes: a data acquisition camera for collecting video data during the disassembly process of vehicle reuse parts; a reuse part positioning unit for positioning the position of the reuse parts in the video data collected by the data acquisition camera; an occlusion analysis unit for analyzing whether the reuse parts are occluded by disassembly workers during the disassembly process; a lens switching unit for switching the video data collected by other data acquisition cameras to the display screen for display. By judging whether the reuse parts are occluded during the disassembly process, the switching of the data acquisition camera can be realized, which can ensure the visualization and traceability of the reuse parts disassembly process to the greatest extent, ensure the source safety of the reuse parts, and avoid disrupting the market environment such as passing off fake parts as genuine ones and passing off inferior parts as good ones.

Description

Technical Field

[0001] The present invention relates to the technical field of motor vehicle reuse part management, and specifically to a digital management system and method for motor vehicle disassembly and assembly integration based on big data. Background Art

[0002] The recycling and disassembling of end-of-life motor vehicles and the reuse of end-of-life motor vehicle reuse parts play an increasingly important economic role in the resource recycling economy industry of the automotive industry. However, neither the recycling and disassembling of end-of-life motor vehicles nor the reuse of end-of-life motor vehicle reuse parts is mature in current research and practice;

[0003] As an ecological resource for carbon emission reduction and carbon neutrality in the production of the automotive industry, reuse parts have attributes such as resource reuse, energy conservation and environmental protection, easy identification, convenient assembly, and price advantages, and are widely used in the automotive aftermarket such as insurance claims, vehicle maintenance, and auto parts;

[0004] However, at present, reuse parts and after-sales services, as an extension and supplement of the automotive aftermarket, due to non-visual disassembly, the quality of reuse parts is uncontrollable, and the use of reuse parts to pass off fakes as genuine and inferior products as good ones disrupts the market environment; due to the inability to trace the origin of reuse parts, there is a lack of integrity, which often brings social environmental protection risks and integrity risks;

[0005] Therefore, there is an urgent need for a digital management system and method for motor vehicle disassembly and assembly integration based on big data to solve the above technical problems. Summary of the Invention

[0006] The purpose of the present invention is to provide a digital management system and method for motor vehicle disassembly and assembly integration based on big data to solve the problems raised in the prior art.

[0007] To achieve the above purpose, the present invention provides the following technical solution: A digital management system for motor vehicle disassembly and assembly integration based on big data, the digital management system includes:

[0008] At least two data collection cameras for collecting video data during the disassembly process of motor vehicle reuse parts; enabling the switching of video data during the disassembly process of reuse parts;

[0009] A reuse part positioning unit for positioning the position of the reuse part in the video data collected by the data collection camera; avoiding the occlusion of the reuse part by the disassembling worker during the disassembly process from affecting the data collection of the data collection camera;

[0010] An occlusion analysis unit for analyzing whether the reuse part is occluded by the disassembling worker during the disassembly process;

[0011] A lens switching unit for switching the video data collected by other data acquisition cameras to a display screen for display when the reusable parts in at least one data acquisition camera are blocked;

[0012] Realize the visual disassembly of reusable parts of scrapped motor vehicles, avoid the uncontrollable quality of reusable parts, and prevent the disruption of the market environment caused by using fake or inferior reusable parts to replace genuine ones, ensuring the reliable quality of reusable parts;

[0013] The output ends of the data acquisition cameras and the reusable part positioning unit are connected to the input end of the occlusion analysis unit, and the output end of the occlusion analysis unit is connected to the input end of the lens switching unit.

[0014] According to the above technical solution, use a quality detection unit to detect the quality of the reusable parts after visual disassembly under a data acquisition camera to ensure the openness and transparency of the detection process. After the reusable parts are disassembled and the quality detection is error-free, use a traceability identification unit to print a traceability identification to generate a quality detection report, paste the traceability identification on the reusable parts, and use a warehouse storage unit to scan the traceability identification to store the reusable parts in the warehouse.

[0015] According to the above technical solution, use an information uploading unit to upload the traceability information of the reusable parts stored in the warehouse to a cloud platform; users use a reusable part search unit to input keywords on the cloud platform to search for expected reusable parts; use an information matching unit to match the keywords and find the traceability information of reusable parts similar to the expected reusable parts on the cloud platform.

[0016] According to the above technical solution, use a reusable part logistics unit to supervise the logistics receipt and dispatch of reusable parts. When the user signs for the reusable parts, use a traceability management unit to query and manage the traceability information of the reusable parts. Ensure that the reusable parts can be traced and prevent the use of fake or inferior parts to replace genuine ones.

[0017] A digital management method for motor vehicle disassembly and assembly integration based on big data. This digital management method includes the following steps:

[0018] S1. Use a data acquisition camera to collect video data during the disassembly process of reusable parts; realize the visual disassembly of reusable parts;

[0019] S2. Analyze whether the disassembling worker blocks the reusable parts during the process of collecting video data by the data acquisition camera;

[0020] S3. According to the analysis result of S2, judge whether it is necessary to switch the data acquisition camera to collect video data of the disassembly process of the reusable parts.

[0021] According to the above technical solution, in S1, the video data collected by the data acquisition camera is displayed through a display screen and stored at the same time. The number of the data acquisition cameras is at least two.

[0022] According to the above technical solution, in S2, an image data is intercepted from the collected video data every time interval t. The analysis of whether the disassembling worker blocks the reusable parts includes the following steps:

[0023] S201. Extract the contour of the image data to obtain a contour map;

[0024] S202. Establish a plane rectangular coordinate system on the contour map to facilitate the digital analysis of whether the disassembly process of the reusable parts is blocked and ensure the accuracy of the analysis results;

[0025] S203. Add the true contour line of the reusable part to the obtained contour map;

[0026] S204. Analyze whether the reusable part is blocked.

[0027] According to the above technical solution, in S202, a plane rectangular coordinate system is established with the center point of the contour map as the origin. There are a total of m contour lines on the contour map, forming a set of contour lines P = {P1, P2, P3,..., P m}, where P1, P2, P3,..., P m respectively represent the m contour lines on the contour map. Coordinate values are assigned to the contour points on each contour line to obtain where, respectively represent the coordinate values of n contour points on the kth contour line on the contour map;

[0028] The contour points on each contour line on the contour map are fitted to obtain the fitting function f(x k ) of each contour line, where k represents the kth contour line on the contour map;

[0029] In S203, the true contour line of the reusable part is processed according to S202 to obtain the fitting function g(x j ) of the true contour line of the reusable part in the plane rectangular coordinate system, where j represents the jth contour line on the true contour line of the reusable part;

[0030] In S204, calculate whether there is an intersection between the fitting function f(x k ) and the fitting function g(x j ). If f(x k ) and g(x j)When there is at least one intersection point, it is determined that the reusable part is blocked during the disassembly process, and the data acquisition camera is switched to collect video data of the disassembly process of the reusable part. On the contrary, if it is not blocked, there is no need to switch the data acquisition camera to collect video data of the disassembly process of the reusable part.

[0031] The contour map of the image data and the real contour line are set on different layers, but analyzed in the same rectangular coordinate system. By calculating the form of the intersection points of the fitting function, it is judged whether there is occlusion during the disassembly process of the reusable part, making the result more accurate. The digital processing method also makes the efficiency higher.

[0032] According to the above technical solution, the digital management method further includes the following steps:

[0033] S4. After the reusable part is disassembled and the quality inspection is correct, print the traceability label to generate a quality inspection report, store it in the warehouse, and upload the traceability information of the reusable part to the cloud platform to form a digital representation;

[0034] S5. The user enters a keyword on the cloud platform to search for the expected reusable part, and matches the keyword with the traceability information of the reusable part on the cloud platform;

[0035] S6. According to the matching result of S5, conduct logistics supervision and traceability information query of the reusable part.

[0036] According to the above technical solution, in S4, a multi-dimensional space coordinate system is established based on the traceability information of the reusable part, and each piece of information in the traceability information is added to the multi-dimensional space coordinate system. The traceability information of each reusable part is converted into digital representation coordinate values (A, B, C,...), where A, B, C,... respectively represent the values of each piece of information in the traceability information on the corresponding coordinate axes in the multi-dimensional space coordinate system. Taking the origin of the multi-dimensional space coordinate system as the starting point and the coordinate values (A, B, C,...) as the ending point, a vector representation of the traceability information is obtained

[0037] Converting the traceability information into a vector representation enables digital matching regardless of the content of the information included in the traceability information, improving the matching efficiency and success rate;

[0038] In S5, the keyword input by the user is located in the multi-dimensional space coordinate system, and a vector representation of the keyword input by the user is obtained according to the processing method of S4 Then calculate the vector similarity.

[0039] Using the similarity calculation method enables digital matching of reusable parts, making the matching result more accurate, the matching efficiency higher, and ensuring the security of the matching without leakage of the user's search keywords.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0041] 1. The present invention realizes the switching of the data acquisition camera by judging whether the reuse parts are blocked during the disassembly process, which can ensure the visualization and traceability of the disassembly process of the reuse parts to the greatest extent, guarantee the source safety of the reuse parts, and avoid disturbing the market environment such as passing off fake parts as genuine ones and passing off inferior parts as good ones.

[0042] 2. The present invention prints and pastes the traceability label under the condition of visual disassembly of the reuse parts, and updates each processing step in the traceability label during the whole processing process of the reuse parts, so as to realize the supervision of the whole life cycle of the reuse parts, including the video data during the disassembly process of the reuse parts, ensure that users can buy reassuring products, and stabilize the market order.

[0043] 3. The scientific management and orderly benign development of the recycling and reuse of reuse parts resources cultivate a standardized and benign ecological development in the automotive aftermarket, promote the maturity of the industry, expand the service for the automotive parts demand market, and realize the environmental protection benefits of energy conservation and emission reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic flow chart of the steps of the digital management method for motor vehicle disassembly and assembly integration based on big data according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0046] Embodiment: As Figure 1 shown, the present invention provides the following technical solutions, a digital management system for motor vehicle disassembly and assembly integration based on big data, and the digital management system includes:

[0047] At least two data acquisition cameras for collecting video data during the disassembly process of motor vehicle reuse parts; enabling the switching of video data during the disassembly process of the reuse parts;

[0048] A reuse part positioning unit for positioning the position of the reuse part in the video data collected by the data acquisition camera; avoiding the influence of the blockage of the reuse part by the disassembly worker during the disassembly process on the data acquisition of the data acquisition camera;

[0049] An occlusion analysis unit for analyzing whether the reusable parts are occluded by the disassembling workers during the disassembly process;

[0050] A lens switching unit for switching the video data collected by other data acquisition cameras to the display screen for display when the reusable parts in at least one data acquisition camera are occluded;

[0051] Realize the visual disassembly of reusable parts from scrapped motor vehicles, avoid the uncontrollable quality of reusable parts, and prevent the disruption of the market environment caused by the use of fake or substandard reusable parts to ensure the reliable quality of reusable parts;

[0052] The output ends of the data acquisition cameras and the reusable part positioning unit are connected to the input end of the occlusion analysis unit, and the output end of the occlusion analysis unit is connected to the input end of the lens switching unit.

[0053] Use the quality detection unit to detect the quality of the reusable parts after visual disassembly under the data acquisition cameras to ensure the openness and transparency of the detection process. When the reusable parts are disassembled and the quality detection is correct, use the traceability identification unit to print the traceability identification to generate a quality detection report, paste the traceability identification on the reusable parts, and use the warehouse storage unit to scan the traceability identification to store the reusable parts in the warehouse.

[0054] Use the information uploading unit to upload the traceability information of the reusable parts stored in the warehouse to the cloud platform. The traceability information includes but is not limited to the basic information of the reusable parts, disassembly video information, and sales price information; users use the reusable part search unit to input keywords on the cloud platform to search for the expected reusable parts; use the information matching unit to match the keywords and find the traceability information of the reusable parts similar to the expected reusable parts on the cloud platform.

[0055] Use the reusable part logistics unit to supervise the logistics receipt and dispatch of the reusable parts. When the user signs for the reusable parts, use the traceability management unit to query and manage the traceability information of the reusable parts. Ensure that the reusable parts can be traced and avoid using fakes or substandard products.

[0056] A digital management method for motor vehicle disassembly and assembly integration based on big data. This digital management method includes the following steps:

[0057] S1. Use the data acquisition cameras to collect the video data during the disassembly process of the reusable parts; realize the visual disassembly of the reusable parts;

[0058] The video data collected by the data acquisition cameras is displayed through the display screen and stored at the same time. The number of the data acquisition cameras is at least two. Specifically, at least two data acquisition cameras collect the video data of the disassembly process of the reusable parts from different angles.

[0059] S2. When analyzing the process of video data collection by the data acquisition camera, check whether the disassembling worker blocks the reusable parts;

[0060] Intercept a piece of image data from the collected video data at every time interval t. For example, perform image data collection every 10 s. Intercepting image data from the video data is for the convenience of later image data analysis. The analysis of whether the disassembling worker blocks the reusable parts includes the following steps:

[0061] S201. Extract the contours of the image data. Specifically, to extract the contours of the image data, first perform grayscale processing, and then use the image gradient algorithm to extract the border to obtain a contour map;

[0062] S202. Establish a plane rectangular coordinate system on the contour map to facilitate the digital analysis of whether the disassembly process of the reusable parts is blocked and ensure the accuracy of the analysis results;

[0063] Establish a plane rectangular coordinate system with the center point of the contour map as the origin. There are m contour lines on the contour map, forming a set of contour lines P = {P1, P2, P3,..., P m}, where P1, P2, P3,..., P m respectively represent the m contour lines on the contour map. Assign coordinate values to the contour points on each contour line to obtain where, respectively represent the coordinate values of n contour points on the kth contour line on the contour map;

[0064] Fit the contour points on each contour line on the contour map to obtain the fitting function f(x k ) of each contour line, where k represents the kth contour line on the contour map;

[0065] For example: After fitting, a contour line on the contour map obtains

[0066] S203. Add the true contour line of the reusable part to the obtained contour map. Adding the true contour line of the reusable part means that regardless of whether the contour line of the reusable part is blocked in the obtained contour map, the contour line of the reusable part when it is not blocked is added to the contour map;

[0067] Process the true contour line of the reusable part according to S202 to obtain the fitting function g(x j ) of the true contour line of the reusable part in the plane rectangular coordinate system, where j represents the jth contour line on the true contour line of the reusable part;

[0068] For example: After fitting, the true contour line of the reusable part obtains

[0069] After calculation, there is at least one intersection between f(x 10 ) and g(x5);

[0070] The obtained contour map and the true contour of the added reused part are located on different layers of the same picture;

[0071] S204. Analyze whether the reused part is blocked;

[0072] Calculate whether there is an intersection between the fitting function f(x k ) and the fitting function g(x j ). If there is at least one intersection between f(x k ) and g(x j ), it is determined that the reused part is blocked during the disassembly process, and the data acquisition camera is switched to collect video data of the disassembly process of the reused part. Otherwise, if it is not blocked, there is no need to switch the data acquisition camera to collect video data of the disassembly process of the reused part.

[0073] The contour map of the image data and the true contour line are set on different layers, but analyzed in the same rectangular coordinate system. By calculating the intersection points of the fitting functions to determine whether there is occlusion during the disassembly process of the reused part, the result is more accurate. The digital processing method also makes the efficiency higher.

[0074] S3. According to the analysis result of S2, determine whether it is necessary to switch the data acquisition camera to collect video data of the disassembly process of the reused part.

[0075] This digital management method further includes the following steps:

[0076] S4. After the reused part is disassembled and the quality inspection is correct, print the traceability label to generate a quality inspection report, store it in the warehouse, and upload the traceability information of the reused part to the cloud platform to form a digital representation; specifically, convert the traceability information of the reused part into a vector representation for convenient later matching;

[0077] Establish a multi-dimensional space coordinate system according to the traceability information of the reused part, add each piece of information of the traceability information to the multi-dimensional space coordinate system, and convert the traceability information of each reused part into digital representation coordinate values (A, B, C,...), where A, B, C,... respectively represent the numerical values of each piece of information of the traceability information on the corresponding coordinate axes in the multi-dimensional space coordinate system. Taking the origin of the multi-dimensional space coordinate system as the starting point and the coordinate values (A, B, C,...) as the ending point, the vector representation of the traceability information is obtained For example: If the traceability information includes three items: the production year of the reused part, the used duration of the reused part, and the name of the reused part, then according to the definition, these three pieces of information are respectively marked on each coordinate axis in the three-dimensional space coordinate system, and the coordinate values of the traceability information can be obtained. After vector transformation, a vector representation can be obtained;

[0078] Converting the traceability information into a vector representation enables digital matching regardless of the information content included in the traceability information, improving the efficiency and success rate of matching;

[0079] S5. The user enters keywords on the cloud platform to search for the expected reused part, and matches the keywords with the traceability information of the reused parts on the cloud platform;

[0080] Locate the keywords entered by the user in the multi-dimensional space coordinate system, and obtain the vector representation of the keywords entered by the user according to the processing method of S4 Match the keywords with the traceability information according to the following formula:

[0081]

[0082] S6. According to the matching result of S5, conduct logistics supervision of the reused part and query the traceability information.

[0083] When cosθ≥a, it indicates a successful match. Take out the matched reused part from the warehouse, supervise the logistics receipt and dispatch of the reused part. When the user signs for the reused part, the user queries and manages the traceability information of the reused part by scanning the traceability label on the reused part, where a represents the set similarity threshold;

[0084] When cosθ<a, it indicates that the expected reused part of the user is not matched in the cloud platform, and the matching ends.

[0085] Using the method of similarity calculation enables digital matching of reused parts, making the matching result more accurate and the matching efficiency higher.

[0086] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be encompassed within the present invention. Any reference signs in the claims should not be regarded as limiting the claims involved.

Claims

1. A digital management system for the integration of motor vehicle disassembly and assembly based on big data, characterized in that, The digital management system includes: At least two data acquisition cameras for collecting video data during the disassembly process of motor vehicle recycled parts; A recycled part positioning unit for positioning the position of the recycled part in the video data collected by the data acquisition camera; An occlusion analysis unit for analyzing whether the recycled part is occluded by the disassembly worker during the disassembly process; Establish a plane rectangular coordinate system with the center point of the contour map as the origin. There are a total of m contour lines on the contour map, forming a set of contour lines P = {P1, P2, P3,..., P m}, where P1, P2, P3,..., P m respectively represent the m contour lines on the contour map. Coordinate values are assigned to the contour points on each contour line to obtain Among them, respectively represent the coordinate values of n contour points on the k-th contour line of the contour map; Fit the contour points on each contour line in the contour map to obtain the fitting function f(x k ), where k represents the k-th contour line on the contour map; Process the true contour line of the reused part to obtain the fitting function g(x j ) of the true contour line of the reused part in the plane rectangular coordinate system, where j represents the j-th contour line on the true contour line of the reused part; Calculate the fitting function f(x k ) and the fitting function g(x j ) to check if there is an intersection. If there is at least one intersection between f(x k ) and g(x j ), it is determined that the reusable part is blocked during the disassembly process, and the data acquisition camera is switched to collect video data of the disassembly process of the reusable part. Otherwise, if it is not blocked, there is no need to switch the data acquisition camera to collect video data of the disassembly process of the reusable part; A lens switching unit for switching the video data collected by other data acquisition cameras to the display screen for display when the recycled part in at least one data acquisition camera is occluded; The output ends of the data acquisition camera and the recycled part positioning unit are connected to the input end of the occlusion analysis unit, and the output end of the occlusion analysis unit is connected to the input end of the lens switching unit; Use the quality detection unit to perform quality detection on the recycled parts after visual disassembly under the data acquisition camera. When the recycled parts are disassembled and the quality detection is correct, use the traceability identification unit to print the traceability identification to generate a quality detection report, paste the traceability identification on the recycled parts, and use the warehouse storage unit to scan the traceability identification to store the recycled parts into the warehouse; Establish a multi-dimensional space coordinate system based on the traceability information of recycled parts, add each piece of information in the traceability information to the multi-dimensional space coordinate system, and convert the traceability information of each recycled part into coordinate values (A, B, C,...) represented digitally. Among them, A, B, C,... respectively represent the numerical values of each piece of information in the traceability information on the corresponding coordinate axes in the multi-dimensional space coordinate system. Taking the origin of the multi-dimensional space coordinate system as the starting point and the coordinate values (A, B, C,...) as the ending point, a vector representation of the traceability information is obtained Locate the keywords input by the user in the multi-dimensional space coordinate system, and obtain the vector representation of the keywords input by the user according to the processing method of S4 Match the keywords with the traceability information according to the following formula: When cosθ≥a, it indicates a successful match. Take out the matched recycled parts from the warehouse and supervise the logistics receipt and dispatch of the recycled parts. When the user signs for the recycled parts, the user queries and manages the traceability information of the recycled parts by scanning the traceability label on the recycled parts. Here, a represents the set similarity threshold; When cosθ<a, it indicates that the expected recycled parts of the user are not matched in the cloud platform, and the matching ends.

2. The digital management system for vehicle disassembly and assembly integration based on big data according to claim 1, characterized in that: Use the information upload unit to upload the traceability information of the recycled parts stored in the warehouse to the cloud platform; the user uses the recycled part search unit to input keywords on the cloud platform to search for the expected recycled parts; use the information matching unit to perform keyword matching and find the traceability information of the recycled parts similar to the expected recycled parts from the cloud platform.

3. The digital management system for vehicle disassembly and assembly integration based on big data according to claim 2, characterized in that: Use the recycled part logistics unit to supervise the logistics receipt and dispatch of the recycled parts. When the user signs for the recycled parts, use the traceability management unit to query and manage the traceability information of the recycled parts.

4. A digital management method for the integration of motor vehicle disassembly and assembly based on big data, characterized in that, The digital management method includes the following steps: S1. Use the data acquisition camera to collect video data during the disassembly process of the recycled parts; S2. Analyze whether the disassembly worker occludes the recycled part during the process of the data acquisition camera collecting video data; Intercept a piece of image data from the collected video data every time interval t. The analysis of whether the disassembly worker occludes the recycled part includes the following steps: S201. Extract the contour of the image data to obtain a contour map; S202. Establish a plane rectangular coordinate system on the contour map; Establish a plane rectangular coordinate system with the center point of the contour map as the origin. There are a total of m contour lines on the contour map, forming a set of contour lines P = {P1, P2, P3,..., P m}, where P1, P2, P3,..., P m respectively represent the m contour lines on the contour map. Coordinate values are assigned to the contour points on each contour line to obtain where respectively represent the coordinate values of the n contour points on the k-th contour line of the contour map; Fit the contour points on each contour line in the contour map to obtain the fitting function f(x k ), where k represents the k-th contour line on the contour map; S203. Add the true contour line of the recycled part to the obtained contour map; Process the true contour line of the reused part according to S202 to obtain the fitting function g(x j ) of the true contour line of the reused part in the plane rectangular coordinate system, where j represents the j-th contour line on the true contour line of the reused part; S204. Analyze whether the recycled part is occluded; Calculate the fitting function f(x k ) and the fitting function g(x j ) to check if there is an intersection. If there is at least one intersection between f(x k ) and g(x j ), it is determined that the reusable part is blocked during the disassembly process, and the data acquisition camera is switched to collect video data of the disassembly process of the reusable part. Otherwise, if it is not blocked, there is no need to switch the data acquisition camera to collect video data of the disassembly process of the reusable part; S3. According to the analysis result of S2, judge whether it is necessary to switch the data acquisition camera to collect video data of the disassembly process of the recycled part; After the recycled parts are disassembled and the quality detection is correct, print the traceability identification to generate a quality detection report, store it in the warehouse, and upload the traceability information of the recycled parts to the cloud platform to form a digital representation; Establish a multi-dimensional space coordinate system based on the traceability information of recycled parts, add each piece of information in the traceability information to the multi-dimensional space coordinate system, and convert the traceability information of each recycled part into coordinate values (A, B, C,...) represented digitally. Among them, A, B, C,... respectively represent the numerical values of each piece of information in the traceability information on the corresponding coordinate axes in the multi-dimensional space coordinate system. Take the origin of the multi-dimensional space coordinate system as the starting point and the coordinate values (A, B, C,...) as the ending point to obtain the vector representation of the traceability information S5. The user inputs keywords on the cloud platform to search for expected reusable parts, and matches the keywords with the traceability information of the reusable parts on the cloud platform; Locate the keywords input by the user in a multi-dimensional space coordinate system, and obtain the vector representation of the keywords input by the user according to the processing method of S4 Match the keywords with the traceability information according to the following formula: When cosθ≥a, it indicates a successful match. The matched reusable parts are taken out of the warehouse, and the logistics receipt and dispatch of the reusable parts are supervised. When the user signs for the reusable parts, the user queries and manages the traceability information of the reusable parts by scanning the traceability label on the reusable parts, where a represents the set similarity threshold; When cosθ<a, it indicates that the user's expected reusable parts are not matched in the cloud platform, and the matching ends; S6. According to the matching result of S5, the logistics supervision of the reusable parts and the query of the traceability information are carried out.

5. The digital management method for vehicle disassembly and assembly integration based on big data according to claim 4, characterized in that: In S1, the video data collected by the data acquisition camera is displayed through the display screen and stored at the same time. The number of the data acquisition cameras is at least two.

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