Vehicle disassembly data processing scoring system

Abstract

The invention discloses a vehicle disassembly data processing and scoring system, which belongs to the technical field of vehicle disassembly and comprises a vehicle information module, a vehicle information base, a demand analysis module and a disassembly scoring module. The vehicle information module is used for generating a part disassembling scheme of the corresponding vehicle and sending the part disassembling scheme to the vehicle information base; the demand analysis module is used for carrying out demand analysis, acquiring disassembly demands of a user on various vehicles in real time, and matching a part disassembly scheme of the vehicle from a vehicle information base; the part disassembling scheme is adjusted according to the disassembling requirement, and a disassembling application scheme of the vehicle is obtained; sending the disassembly application scheme to a vehicle information base; the vehicle information base is used for storing a part disassembling scheme and a disassembling application scheme of the corresponding vehicle; and the disassembly scoring module is used for scoring the disassembly data of the vehicle by the worker to obtain corresponding disassembly scoring data.

Description

Technical Field

[0001] The invention belongs to the technical field of vehicle disassembly, and in particular relates to a vehicle disassembly data processing and scoring system. Background Art

[0002] At present, the vehicle dismantling industry generally adopts the traditional manual dismantling mode, relying on experience judgment and paper records, resulting in a lack of standardization and traceability in the dismantling process. The core problems are reflected in three aspects: first, the dismantling efficiency is low, and manual operation cannot ensure the accurate execution of the dismantling steps, which is prone to component damage or resource waste; second, data management is decentralized, and key data such as component status, material type, and environmental protection indicators generated during the dismantling process cannot be effectively integrated, forming an "information island" that restricts the efficiency of corporate decision-making; third, the environmental compliance risk is high, and the treatment process of hazardous substances (such as batteries and waste oil) lacks digital monitoring, making it difficult to meet increasingly stringent regulatory requirements. These problems have jointly led to unstable dismantling quality and high operating costs, becoming a bottleneck restricting the development of the industry.

[0003] Based on this, the present invention provides a vehicle disassembly data processing and scoring system. Summary of the invention

[0004] In order to solve the problems existing in the above solutions, the present invention provides a vehicle dismantling data processing and scoring system to solve the problems of existing vehicle dismantling.

[0005] The purpose of the present invention can be achieved through the following technical solutions: Vehicle disassembly data processing and scoring system, including vehicle information module, vehicle information database, demand analysis module, disassembly guidance module and disassembly scoring module; The vehicle information module is used to generate a component disassembly plan for the corresponding vehicle and send the component disassembly plan to the vehicle information database.

[0006] Furthermore, the generation of the component disassembly plan includes: Collecting disassembly data of various vehicles in real time, and generating an initial disassembly plan of the vehicle according to the disassembly data; Conducting a feasibility assessment on the initial disassembly plan to obtain a feasibility assessment result, wherein the feasibility assessment result includes whether the feasibility requirements are met or not met; The initial disassembly plan whose feasibility assessment result is that it meets the feasibility requirement is marked as a component disassembly plan.

[0007] Furthermore, the feasibility of the initial dismantling plan is evaluated, including: Obtaining the feasibility requirements of the user for the corresponding vehicle, and extracting features from the disassembly data of the initial disassembly plan according to the feasibility requirements to obtain feasibility disassembly features; A feasibility evaluation model is established. The expression of the feasibility evaluation model is: ; Where: (s, d) is the input data, s is the feasibility disassembly feature, d is the feasibility requirement; s→d means that the feasibility disassembly feature meets the feasibility requirement; the output data is the feasibility evaluation value KP (s, d), and the feasibility evaluation value is 1 or 0; Analyzing the feasibility disassembly characteristics and feasibility requirements of the initial disassembly plan through a feasibility assessment model to obtain a feasibility assessment value of the initial disassembly plan; When the feasibility assessment value is 1, the feasibility assessment result satisfies the feasibility requirements; When the feasibility assessment value is 0, the feasibility assessment result is that the feasibility requirements are not met.

[0008] The demand analysis module is used to perform demand analysis, obtain users' disassembly needs for various vehicles in real time, match the component disassembly plan of the vehicle from the vehicle information library; adjust the component disassembly plan according to the disassembly needs to obtain the disassembly application plan of the vehicle; and send the disassembly application plan to the vehicle information library.

[0009] Furthermore, the component disassembly plan is adjusted according to the disassembly requirements, including: Identify the disassembly order and method of each component in the component disassembly plan; determine whether each disassembly method meets the disassembly requirements; Eliminate component disassembly plans that have disassembly methods that do not meet disassembly requirements; According to the disassembly requirements, the disassembly order in the disassembly solutions of the remaining components is combined and adjusted to obtain several candidate disassembly solutions that meet the disassembly requirements; The disassembly solutions to be selected are screened to obtain a disassembly application solution for the vehicle.

[0010] Furthermore, the disassembly order of the remaining components in the disassembly plan is combined and adjusted according to the disassembly requirements, including: Step SA1: identifying corresponding merged components in the component disassembly scheme according to the disassembly requirements; Step SA2: judging whether corresponding merged components meet the merge requirements according to the component disassembly plan and the disassembly requirements; Merge two merge components that meet the merge requirements to form a new merge component; Step SA3: loop step SA2 until all the merged components do not meet the merge requirements, adjust the component disassembly plan according to the remaining merged components, and obtain a candidate disassembly plan.

[0011] Furthermore, corresponding merged components are identified in the component disassembly scheme according to the disassembly requirements, including: A component discrimination model is established, and the expression of the component discrimination model is: ; Where: (qi, d) is the input data, qi represents the corresponding component in the component disassembly plan, i=1, 2, ..., n, n is the number of corresponding components in the component disassembly plan; p is the disassembly requirement; the output data is the component discrimination value PL(qi, d), and the component discrimination value is 1 or 0; Identify each component corresponding to the component disassembly plan, analyze it through the component discrimination model, and obtain the component discrimination value of the corresponding component; Components with a component discrimination value of 1 are marked as merged components.

[0012] Further, the disassembly application plan of the corresponding vehicle is adjusted according to the personal needs of the staff to obtain a personal disassembly plan, and whether the personal disassembly plan meets the personal disassembly adjustment requirements is determined according to the disassembly application plan to obtain a personal adjustment evaluation result, which includes a qualified adjustment and an unqualified adjustment; When the personal adjustment assessment result is that the adjustment is qualified, the personal disassembly plan is marked as a disassembly application plan, and the information tag of the corresponding staff member is marked, and the disassembly application plan is stored in the vehicle information database; When the result of the individual adjustment assessment is that the adjustment is unsatisfactory, it will be presented to the staff.

[0013] The vehicle information database is used to store component disassembly solutions and disassembly application solutions of corresponding vehicles.

[0014] Furthermore, the component disassembly solutions stored in the vehicle information database are dynamically screened according to the feasibility evaluation model.

[0015] The disassembly guidance module is used to provide disassembly guidance when the staff disassembles the target vehicle, match the corresponding disassembly application plan from the vehicle information database according to the target vehicle, generate a corresponding disassembly guidance video according to the disassembly application plan; identify the disassembled parts of the staff in real time, form a guidance application video according to the disassembled parts and the disassembly guidance video, and show the guidance application video to the staff.

[0016] The disassembly scoring module is used to score the disassembly data of the vehicle by the staff to obtain corresponding disassembly scoring data.

[0017] Compared with the prior art, the present invention has the following beneficial effects: By introducing intelligent disassembly systems and automated control technology to replace the traditional manual disassembly mode that relies on experience, the disassembly process can be standardized and precise. By dynamically adjusting the disassembly application plan based on the user's disassembly needs, the disassembly application plan can be quickly adjusted according to the user's business needs and changes in disassembly regulations, thereby improving disassembly efficiency and quality. At the same time, the disassembly habits of the staff are taken into account, allowing the staff to make adaptive adjustments to achieve personalized disassembly. By conducting a feasibility assessment, it is convenient to dynamically screen and update the component disassembly plans stored in the vehicle information database based on the user's new feasibility requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0020] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] like Figure 1 As shown, the vehicle disassembly data processing and scoring system includes a vehicle information module, a vehicle information database, a demand analysis module, a disassembly guidance module and a disassembly scoring module; The vehicle information module is used to collect disassembly data of various vehicles in real time, and form a component disassembly plan of the corresponding vehicle according to the disassembly data. One vehicle can correspond to multiple feasible component disassembly plans, and the component disassembly plans are sent to the vehicle information database.

[0022] In one embodiment, the disassembly data of vehicles may be collected by connecting to multiple information channels to obtain the disassembly data of various vehicles.

[0023] In one embodiment, a component disassembly plan is formed based on the disassembly data. The disassembly data can be identified and screened in an existing manner to determine various feasible component disassembly plans for the vehicle. If the component disassembly plan of the corresponding vehicle can be directly obtained, it can be directly collected.

[0024] In one embodiment, forming a component disassembly plan according to the disassembly data includes: Identify the corresponding disassembly components in the disassembly data, and form a disassembly plan corresponding to the disassembly data according to the disassembly sequence and disassembly method of each disassembly component, and mark it as an initial disassembly plan; Conduct a feasibility assessment on the initial dismantling plan and obtain a feasibility assessment result, which includes whether the feasibility requirements are met or not; The initial disassembly plan whose feasibility assessment result is that it meets the feasibility requirements is marked as a component disassembly plan.

[0025] By conducting a feasibility assessment, it is convenient to dynamically screen and update the component disassembly plans stored in the vehicle information database according to the user's new feasibility requirements.

[0026] In one embodiment, a feasibility assessment is performed on the initial disassembly plan, which is mainly set according to the feasibility requirements of the user. For example, the feasibility requirements are formed according to the user's requirements for disassembly cost, disassembly efficiency, etc. The user sets the feasibility requirements of the corresponding vehicle according to the actual business needs, that is, the user can set different feasibility requirements for different vehicles; subsequently, the corresponding disassembly data is feature extracted according to the feasibility requirements to form the feasibility disassembly features of the initial disassembly plan, that is, the features are collected according to the data corresponding to the feasibility requirements; then, the feasibility collection features are evaluated according to the feasibility requirements to determine whether the feasibility requirements are met; the evaluation and judgment can be performed in combination with the existing feasibility evaluation methods.

[0027] In one embodiment, a feasibility assessment is performed on the initial disassembly plan, including: Obtain the user's feasibility requirements for the corresponding vehicle, extract features from the disassembly data corresponding to the corresponding initial disassembly plan according to the feasibility requirements, and obtain corresponding feasibility disassembly features; A feasibility evaluation model is established. The expression of the feasibility evaluation model is: ; Where: (s, d) is the input data, s is the feasibility disassembly feature, and d is the feasibility requirement; s→d means that the feasibility disassembly feature meets the feasibility requirement; the corresponding training set is set by the corresponding historical data for training, and the training set includes input data and output data; the output data is the feasibility evaluation value KP (s, d), and the feasibility evaluation value is 1 or 0; Analyze the feasibility disassembly characteristics and feasibility requirements of the corresponding initial disassembly plan through the feasibility evaluation model to obtain the feasibility evaluation value of the corresponding initial disassembly plan; When the feasibility assessment value is 1, the feasibility assessment result satisfies the feasibility requirements; When the feasibility assessment value is 0, the feasibility assessment result is that the feasibility requirements are not met.

[0028] In one embodiment, the component disassembly plans are classified and stored in a vehicle information database according to the corresponding vehicles.

[0029] The demand analysis module is used to perform demand analysis, obtain the user's disassembly requirements for the corresponding vehicle in real time, match the component disassembly plan of the corresponding vehicle from the vehicle information library; and adjust the component disassembly plan according to the disassembly requirements to obtain the disassembly application plan of the corresponding vehicle; and send the disassembly application plan to the vehicle information library.

[0030] Disassembly demand refers to the disassembly demand set by users for the corresponding vehicles from the perspective of operation and sales, such as a certain part needs to be disassembled; a certain part can be kept intact and sold as a whole later; a certain part needs to be disassembled according to a specified disassembly method, etc. The disassembly demand is set in combination with economic and environmental protection requirements.

[0031] In one embodiment, the component disassembly plan is adjusted according to the disassembly requirements, including: Identify the disassembly order and method of each component in the component disassembly plan; determine whether each disassembly method meets the disassembly requirements; Eliminate component disassembly plans that have disassembly methods that do not meet disassembly requirements; According to the disassembly requirements, the disassembly order in the remaining component disassembly solutions is combined and adjusted to obtain a number of candidate disassembly solutions for the vehicle that meet the disassembly requirements; The disassembly solutions to be selected are screened to obtain a disassembly application solution for the vehicle.

[0032] In one embodiment, the component disassembly plan is adjusted according to the disassembly requirements. The component disassembly plan can be adjusted based on the existing method, with the goal of improving the disassembly quality and disassembly efficiency, and optimizing the steps that are not necessary in the disassembly requirements; such as using a deep learning algorithm to establish a corresponding intelligent adjustment model, and manually establishing a corresponding training set for training, the training set includes input data and output data, the input data is the disassembly requirements and the component disassembly plan, and the output data is the candidate disassembly plan that meets the disassembly requirements; analysis is performed through the intelligent adjustment model after successful training.

[0033] In one embodiment, the disassembly order of the remaining components in the disassembly scheme is combined and adjusted according to the disassembly requirements, including: Step SA1: Identify corresponding merged components in the component disassembly plan according to the disassembly requirements. Merged components refer to components that have no disassembly requirements for a single component. For example, if there is a demand for selling automobile tires, they are not merged components. If there is no demand for doors and windows, they are considered merged components and can be disassembled as a whole without the need for separate disassembly of doors and windows. Step SA2: Determine whether the corresponding merged components meet the merge requirements based on the component disassembly plan and the disassembly requirements, that is, first determine whether there are merge conditions between the two merged components based on the component disassembly plan, that is, whether they can be disassembled as a whole, such as there is no merge condition between the windows of the left door and the right door, and there is a merge condition between the windows of the left door and the left door; for those without merge conditions, it is directly determined that the merge requirements are not met. For those with merge conditions, it is checked according to the disassembly requirements to determine whether the overall disassembly of the two merged components meets the disassembly requirements. If the disassembly requirements are met, it is deemed that the merge requirements are met, otherwise, the merge requirements are not met; based on the above judgment principle, intelligent judgment can be made based on various existing technologies, such as establishing an intelligent model for analysis in combination with deep learning algorithms, machine learning, etc.

[0034] Merge two merged parts that meet the merge requirements to form a new merged part, that is, regard the whole of the two merged parts as a new merged part, such as the whole corresponding to the left window and the left door; Step SA3: loop step SA2 until all the merged parts do not meet the merge requirements, stop the loop, adjust the corresponding parts disassembly plan according to the remaining merged parts, and obtain the disassembly plan to be selected, that is, the merged parts do not require re-disassembly, and adjust the parts disassembly plan while meeting the disassembly requirements of the vehicle to form the disassembly plan to be selected.

[0035] In one embodiment, identifying corresponding merged components in a component disassembly solution according to disassembly requirements includes: A component discrimination model is established, and the expression of the component discrimination model is: ; Where: (qi, d) is the input data, qi represents the corresponding component in the component disassembly scheme, i=1, 2, ..., n, n is the number of corresponding components in the component disassembly scheme; p is the disassembly demand; the corresponding training set is set according to the historical vehicle disassembly data for training, and the component disassembly scheme is combined for judgment, because the same component may have multiple in the vehicle, and their functions may also be different; the output data is the component discrimination value PL(qi, d), and the component discrimination value is 1 or 0; Identify each component corresponding to the component disassembly plan, analyze it through the component discrimination model, and obtain the component discrimination value of the corresponding component; Components with a component discrimination value of 1 are marked as merged components.

[0036] In one embodiment, the disassembly solutions to be selected can be screened and evaluated from the perspective of the disassembly quality and efficiency of the components to determine the disassembly solution with the highest priority and mark it as the disassembly application solution; the scores in the subsequent application process can also be used to make replacements and adjustments to determine the disassembly solution with the highest score. Specifically, the existing screening algorithm and priority algorithm are used for screening.

[0037] Exemplarily, a weight coefficient of each component is preset, and the disassembly quality score and overall disassembly time of each component are estimated; and the priority is calculated by combining the proportional coefficient of quality and efficiency.

[0038] In one embodiment, since some staff members may have their own opinions and methods on vehicle disassembly, in order to realize personalized disassembly of each staff member, the staff member may adjust the disassembly application scheme of the corresponding vehicle to obtain the disassembly application scheme applied by the staff member; in order to distinguish, the disassembly application scheme originally stored in the vehicle information database is marked as a benchmark disassembly scheme; the staff member adjusts the benchmark disassembly scheme according to personal needs to obtain a personal disassembly scheme, evaluates the personal disassembly scheme according to the benchmark disassembly scheme, determines whether the personal disassembly scheme meets the personal disassembly adjustment requirements, and obtains a personal adjustment evaluation result, and the personal adjustment evaluation result includes qualified adjustment and unqualified adjustment; the personal disassembly adjustment requirements are the allowable deviation requirements for disassembly quality and disassembly efficiency and the requirements for disassembly needs, that is, firstly, the requirements for disassembly needs need to be met, and secondly, the reduction in disassembly quality and disassembly efficiency needs to be within the allowable range, which is specifically set according to the user's requirements for the staff member; for example, the quality is allowed to be reduced by 3% and the efficiency is allowed to be reduced by 5%, forming a personal disassembly adjustment requirement; the estimated quality reduction degree and efficiency reduction degree of the personal disassembly scheme are determined according to the benchmark disassembly scheme, and the personal adjustment evaluation result is determined in combination with the personal disassembly adjustment requirements.

[0039] When the personal adjustment assessment result is qualified, the personal disassembly plan will be marked as a disassembly application plan, and the information tag of the corresponding staff member will be marked, and the disassembly application plan will be matched first in the future.

[0040] When the result of individual adjustment assessment is unsatisfactory, it will be shown to the staff, who will decide whether to make another adjustment.

[0041] The vehicle information database is used to store component disassembly solutions and disassembly application solutions of corresponding vehicles.

[0042] The disassembly guidance module is used to provide disassembly guidance when the staff disassembles the target vehicle, where the target vehicle refers to the vehicle that the staff needs to disassemble; matching the corresponding disassembly application plan from the vehicle information database according to the target vehicle, and generating a corresponding disassembly guidance video according to the disassembly application plan; identifying the disassembled parts of the staff in real time, and forming a corresponding guidance application video for the staff according to the disassembled parts and the disassembly guidance video, that is, positioning the disassembled parts in the disassembly guidance video to form a guidance application video with a guidance effect on the staff's current and subsequent disassembly; and displaying the guidance application video to the staff.

[0043] In one embodiment, a corresponding disassembly guidance video is generated according to the disassembly application solution, and can be generated in an existing manner, such as using video generation technology, AI technology, deep learning algorithm, etc.

[0044] In one embodiment, a corresponding disassembly instruction video is generated according to a disassembly application solution. Various disassembly application solutions can be identified according to a vehicle information database, and corresponding disassembly instruction videos can be set in advance according to the disassembly application solutions. Subsequently, the corresponding disassembly instruction video is matched according to the disassembly application solution. The disassembly instruction video is initially generated when the disassembly application solution is formed, and is used for training and guiding various staff members so that they can disassemble according to the disassembly instruction video.

[0045] The disassembly scoring module is used to score the disassembly data of the vehicle by the staff to obtain corresponding disassembly scoring data.

[0046] The disassembly data can be collected based on existing collection methods, such as video monitoring, subsequent testing, etc. to obtain the corresponding disassembly data.

[0047] The disassembly scoring data can include a single score for each component, an overall disassembly score, or a score for each disassembly item; the scoring is performed based on specific scoring requirements.

[0048] In one embodiment, scoring is performed based on the disassembly data, and scoring can be performed according to existing scoring rules and scoring methods; that is, the evaluation can be performed using multiple existing evaluation methods.

[0049] In one embodiment, the disassembly data is scored, the disassembly data can be compared with the disassembly application solution, and a comprehensive score is given according to the actual disassembly deviation of the staff.

[0050] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0051] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. Vehicle disassembly data processing and scoring system, characterized by: It includes vehicle information module, vehicle information database, demand analysis module and disassembly and scoring module; The vehicle information module is used to generate a component disassembly plan for the corresponding vehicle and send the component disassembly plan to the vehicle information database; The demand analysis module is used to perform demand analysis, obtain users' disassembly requirements for various vehicles in real time, match the component disassembly solutions of the vehicles from the vehicle information database; adjust the component disassembly solutions according to the disassembly requirements to obtain the disassembly application solutions of the vehicles; and send the disassembly application solutions to the vehicle information database; The vehicle information database is used to store component disassembly solutions and disassembly application solutions of the corresponding vehicle; The disassembly scoring module is used to score the disassembly data of the vehicle by the staff to obtain corresponding disassembly scoring data.

2. The vehicle disassembly data processing and scoring system according to claim 1, characterized in that: Generation of component disassembly plans, including: Collecting disassembly data of various vehicles in real time, and generating an initial disassembly plan of the vehicle according to the disassembly data; Conducting a feasibility assessment on the initial disassembly plan to obtain a feasibility assessment result, wherein the feasibility assessment result includes whether the feasibility requirements are met or not met; The initial disassembly plan whose feasibility assessment result is that it meets the feasibility requirement is marked as a component disassembly plan.

3. The vehicle disassembly data processing and scoring system according to claim 2, characterized in that: Conduct feasibility assessment of initial dismantling plans, including: Obtaining the feasibility requirements of the user for the corresponding vehicle, and extracting features from the disassembly data of the initial disassembly plan according to the feasibility requirements to obtain feasibility disassembly features; A feasibility evaluation model is established. The expression of the feasibility evaluation model is: ; Where: (s, d) is the input data, s is the feasibility disassembly feature, d is the feasibility requirement; s→d means that the feasibility disassembly feature meets the feasibility requirement; the output data is the feasibility evaluation value KP (s, d), and the feasibility evaluation value is 1 or 0; Analyzing the feasibility disassembly characteristics and feasibility requirements of the initial disassembly plan through a feasibility assessment model to obtain a feasibility assessment value of the initial disassembly plan; When the feasibility assessment value is 1, the feasibility assessment result satisfies the feasibility requirements; When the feasibility assessment value is 0, the feasibility assessment result is that the feasibility requirements are not met.

4. The vehicle disassembly data processing and scoring system according to claim 1, characterized in that: Adjust the component disassembly plan according to the disassembly requirements, including: Identify the disassembly order and method of each component in the component disassembly plan; determine whether each disassembly method meets the disassembly requirements; Eliminate component disassembly plans that have disassembly methods that do not meet disassembly requirements; According to the disassembly requirements, the disassembly order in the disassembly solutions of the remaining components is combined and adjusted to obtain several candidate disassembly solutions that meet the disassembly requirements; The disassembly solutions to be selected are screened to obtain a disassembly application solution for the vehicle.

5. The vehicle dismantling data processing and scoring system according to claim 4, characterized in that: According to the disassembly requirements, the disassembly order of the remaining components in the disassembly plan is combined and adjusted, including: Step SA1: identifying corresponding merged components in the component disassembly scheme according to the disassembly requirements; Step SA2: judging whether corresponding merged components meet the merge requirements according to the component disassembly plan and the disassembly requirements; Merge two merge components that meet the merge requirements to form a new merge component; Step SA3: loop step SA2 until all the merged components do not meet the merge requirements, adjust the component disassembly plan according to the remaining merged components, and obtain a candidate disassembly plan.

6. The vehicle dismantling data processing and scoring system according to claim 5, characterized in that: Identify the corresponding merged parts in the component disassembly plan according to the disassembly requirements, including: A component discrimination model is established, and the expression of the component discrimination model is: ; Where: (qi, d) is the input data, qi represents the corresponding component in the component disassembly plan, i=1, 2, ..., n, n is the number of corresponding components in the component disassembly plan; p is the disassembly requirement; the output data is the component discrimination value PL(qi, d), and the component discrimination value is 1 or 0; Identify each component corresponding to the component disassembly plan, analyze it through the component discrimination model, and obtain the component discrimination value of the corresponding component; Components with a component discrimination value of 1 are marked as merged components.

7. The vehicle disassembly data processing and scoring system according to claim 1, characterized in that: Adjust the disassembly application plan of the corresponding vehicle according to the personal needs of the staff, obtain a personal disassembly plan, judge whether the personal disassembly plan meets the personal disassembly adjustment requirements according to the disassembly application plan, and obtain a personal adjustment evaluation result, wherein the personal adjustment evaluation result includes qualified adjustment and unqualified adjustment; When the personal adjustment assessment result is that the adjustment is qualified, the personal disassembly plan is marked as a disassembly application plan, and the information tag of the corresponding staff member is marked, and the disassembly application plan is stored in the vehicle information database; When the result of the individual adjustment assessment is that the adjustment is unsatisfactory, it will be presented to the staff.

8. The vehicle disassembly data processing and scoring system according to claim 3, characterized in that: The component disassembly plans stored in the vehicle information database are dynamically screened according to the feasibility evaluation model.

9. The vehicle disassembly data processing and scoring system according to claim 1, characterized in that: It also includes a disassembly guidance module, which is used to provide disassembly guidance when the staff disassembles the target vehicle, match the corresponding disassembly application plan from the vehicle information library according to the target vehicle, generate a corresponding disassembly guidance video according to the disassembly application plan; identify the disassembled parts of the staff in real time, form a guidance application video according to the disassembled parts and the disassembly guidance video, and show the guidance application video to the staff.

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