Disassembling part management method and system based on multi-dimensional classification system and digital identification

Abstract

The invention relates to the technical field of vehicle recycling and reusing, and provides a vehicle disassembling part management method and system based on a multi-dimensional classification system and digital identification. According to the method, a complete digital management process is constructed by creating a multi-dimensional classification coding system in which function positions and commercial attributes are combined. The method comprises the following steps: firstly, establishing function position classification covering eight core categories and business attribute classification including dimensions such as color grade and damage code; part information traceability is realized through VIN code binding, and a unique digital identity is generated for each part by using an intelligent identification technology; and realizing digitized warehousing partition management based on a classification system. And finally, accurate supply and demand docking is realized by means of an intelligent matching algorithm. According to the method, a classification system, digital identification and intelligent matching are deeply fused, a standardized, visual and intelligent management closed loop is formed, the part management efficiency and the information transparency are effectively improved, and a feasible digital transformation path is provided for the automobile remanufacturing industry.

Description

Technical Field

[0001] This invention relates to the field of vehicle recycling and reuse technology, and more particularly to the field of classification, storage, management and trading of dismantled vehicle parts. More specifically, it relates to a method and system for managing dismantled vehicle parts based on a multi-dimensional classification system and digital identification. Background Technology

[0002] With the continuous growth of car ownership, the number of scrapped vehicles is increasing year by year, creating a huge market potential for dismantled car parts (remanufactured / used parts). However, traditional car dismantling yard management relies heavily on manual operations, resulting in core problems such as extensive management, information gaps, low efficiency, and matching difficulties. Specifically, parts classification lacks unified standards, relying heavily on manual experience, leading to chaotic naming and unclear inventory structures; parts information (such as origin vehicle model, damage condition, and quality grade) is incomplete or inaccurately recorded, making it difficult for consumers to trace the source and resulting in low trust; parts are piled up haphazardly in warehouses, making it time-consuming and labor-intensive to find specific parts, and reducing picking and shipping efficiency; at the same time, due to insufficient information standardization, online platforms struggle to accurately match dismantled car parts with customer vehicle models, resulting in low transaction success rates. These problems severely restrict the standardization and development of the scrapped car recycling industry, urgently requiring innovative technological solutions.

[0003] In existing technologies, some solutions achieve parts traceability through image acquisition, material composition analysis, and feature extraction (such as shape, size, and material characteristics). Their multi-feature fusion technology improves traceability accuracy and reduces manual intervention. However, these solutions focus on technical traceability, lacking integration of multi-dimensional features such as functional location and commercial attributes. Furthermore, their process coverage is limited to the traceability stage and cannot adapt to all scenarios, including warehousing and transactions. Other solutions standardize the recycling process through information entry modules, QR code generation, and a comprehensive control center, using QR codes to bind parts information and simplify sorting operations. However, their simple classification system and limited functional coverage fail to meet the market demands for refined management of modern dismantled auto parts. Existing technologies have failed to address key issues such as classification granularity, end-to-end integration, and business intelligence matching.

[0004] Therefore, it is necessary to provide a systematic solution to achieve the digitization of information on salvaged vehicle parts, the refinement of management, and the intelligentization of transactions. Summary of the Invention

[0005] This invention addresses the technical problems existing in the prior art by providing a management method for dismantled car parts based on a multi-dimensional classification system and digital identification. It solves the problems of extensive inventory management, difficulty in traceability, and low efficiency in supply and demand matching caused by the lack of unified classification standards and incomplete information records in traditional dismantled car parts. By constructing a multi-dimensional classification system and digital identification system that integrates functional and commercial attributes, it achieves refined and intelligent management of the entire process of dismantled parts from traceability, warehousing to transaction.

[0006] According to a first aspect of the present invention, a method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification is provided, comprising: S1. Based on the functional location classification and commercial attribute classification of salvaged vehicle parts, create multidimensional classification coding rules; S2. Collect images, dimensions, and functional status information of the dismantled parts, and strongly associate the part information with the vehicle identification number (VIN) of the source vehicle; S3. Based on the multidimensional classification coding rules and the collected part information, generate a unique identification code and a smart identifier that can be physically attached to the part for each part. The smart identifier is associated with the full life cycle information of the corresponding part in the database. S4. Based on functional location classification, assign parts with intelligent tags to the corresponding physical partitions in the physical warehouse and synchronize them with the database; S5. In response to a query request, retrieve the database based on part information, vehicle identification number (VIN) and / or classification coding rules, and achieve accurate part matching based on commercial attribute classification.

[0007] Based on the above technical solution, the present invention can also be improved as follows.

[0008] Optionally, the functional location classification includes several of the following core categories: BD (Body Structure Components), DC (Opening and Closing Components and Accessories), EX (Exterior Components), IN (Interior Components), PT (Powertrain Components), CH (Chassis Components), TH (Thermal Management Components), EE (Electrical and Electronic Components).

[0009] Optionally, the business attribute classification includes: A grade indicating the condition of parts, indicating whether they are new or used; Damage codes that indicate the type of damage; A turnover rate indicator representing the speed of sales circulation; and, This indicates a list of compatible car models for which the device can be installed.

[0010] Optionally, the smart identifier is a QR code and / or an RFID tag, and the entire lifecycle information of the part can be obtained by scanning the smart identifier.

[0011] Optionally, the physical partitions of the physical warehouse are synchronized in real time with the logical storage locations of the warehouse management system (WMS), and the logical partitions of the warehouse management system (WMS) are mapped to the functional location categories.

[0012] Optional, also includes: During the retrieval and matching process, the key information of the obtained parts will be generated into an immutable certificate.

[0013] According to a second aspect of the present invention, a vehicle parts management system based on a multi-dimensional classification system and digital identification is provided, comprising: A multidimensional classification coding module is used to establish and execute classification coding rules for dismantled vehicle parts. The rules include a two-dimensional system of functional location classification and commercial attribute classification. The information acquisition and binding module is used to acquire images, dimensional data and functional status information of parts at the disassembly end and strongly associate them with the vehicle identification number (VIN) of the source vehicle. The intelligent identification generation module is used to generate a unique identification code and an intelligent identification that can be physically attached to each part based on the output of the multidimensional classification coding module and the part information collected. The digital warehouse management module is used to allocate parts with smart tags to the corresponding physical partitions of the physical warehouse according to their functional location, and to realize the real-time synchronization of logical storage locations and classification information. The intelligent query and matching module receives query requests through the online platform interface, supports retrieval based on part information, vehicle identification number (VIN) and / or classification coding rules, and achieves accurate matching based on commercial attribute classification. The central database stores the identification codes, classification information, storage locations, and full lifecycle data of all parts, and interacts with various modules.

[0014] Optionally, the digital warehouse management module integrates a warehouse management system (WMS), and the logical partitions of the warehouse management system (WMS) are mapped to the functional location categories to guide the physical storage and picking of parts.

[0015] Optionally, the intelligent query and matching module has a built-in recommendation algorithm engine, which is used to optimize the matching priority based on historical transaction data, a list of compatible vehicle models, and condition levels.

[0016] Optionally, the intelligent query and matching module integrates a blockchain traceability unit, which is used to generate tamper-proof evidence of the key information of the parts.

[0017] According to a third aspect of the present invention, an electronic device is provided, including a memory and a processor, wherein the processor is configured to implement the steps of the above-described method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification when executing a computer management program stored in the memory.

[0018] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, on which a computer management program is stored, wherein when executed by a processor, the computer management program implements the steps of the above-described method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification.

[0019] This invention provides a method, system, electronic device, and storage medium for managing dismantled vehicle parts based on a multidimensional classification system and digital identification. By deeply integrating a multidimensional classification system that combines functional location and commercial attributes with intelligent digital identification (QR code / RFID), non-standardized dismantled vehicle parts are transformed into traceable and matchable standardized data objects. At the methodological level, a closed-loop process is defined, encompassing parts information collection, multidimensional classification coding, identification generation, warehousing and allocation, and intelligent matching. At the system level, the methodological process is materialized through modular design, ensuring seamless data flow driven by a central database.

[0020] This invention offers multiple technical advantages: First, it refines management by using a multi-dimensional classification system (such as body structural parts BD and condition grade) to solve the problem of chaotic traditional classification and improve inventory transparency. Second, it optimizes efficiency by leveraging real-time synchronization between intelligent identification and a warehouse management system (WMS) to achieve rapid parts location and precise matching. Third, it ensures transaction trustworthiness by using a blockchain-based notarization mechanism to guarantee the immutability of parts traceability information and promote standardization in the remanufacturing industry. Ultimately, this invention upgrades the management of dismantled vehicle parts from a crude, experience-based model to a data-driven model, significantly improving turnover rate and reducing operating costs, providing a feasible digital transformation path for the end-of-life vehicle recycling industry. Attached Figure Description

[0021] Figure 1 A flowchart of a method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification provided by this invention; Figure 2 A schematic diagram of a multidimensional classification system provided for one embodiment; Figure 3 A schematic diagram of disassembled vehicle parts and smart identification provided for one embodiment; Figure 4 A block diagram of a vehicle parts management system based on a multidimensional classification system and digital identification provided by the present invention; Figure 5 An architecture diagram of a vehicle parts management system based on a multidimensional classification system and digital identification, provided for one embodiment; Figure 6 A schematic diagram of the hardware structure of a possible electronic device provided by the present invention; Figure 7 This is a schematic diagram of the hardware structure of a possible computer-readable storage medium provided by the present invention. Detailed Implementation

[0022] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0023] Figure 1A flowchart of a method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification, as provided by this invention, is shown below. Figure 1 As shown, the method includes steps S1 to S5: S1. Based on the functional location classification and commercial attribute classification of salvaged vehicle parts, create multidimensional classification coding rules; S2. Collect images, dimensions, and functional status information of the dismantled parts, and strongly associate the part information with the vehicle identification number (VIN) of the source vehicle; S3. Based on the multidimensional classification coding rules and the collected part information, generate a unique identification code and a smart identifier that can be physically attached to the part for each part. The smart identifier is associated with the full life cycle information of the corresponding part in the database. S4. Based on functional location classification, assign parts with intelligent tags to the corresponding physical partitions in the physical warehouse and synchronize them with the database; S5. In response to a query request, retrieve the database based on part information, vehicle identification number (VIN) and / or classification coding rules, and achieve accurate part matching based on commercial attribute classification.

[0024] Understandably, given the deficiencies in the background technology, this invention proposes a method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification. This method manages dismantled vehicle parts by establishing a multidimensional classification system and combining it with digital identification, thus achieving a paradigm shift in dismantled vehicle parts management from experience-based to data-driven approaches.

[0025] Specifically, the process begins by constructing a two-dimensional classification coding rule based on functional location and commercial attributes, transforming non-standard parts into structured data objects to form a data framework for management. Next, it completes the mapping between physical parts and the digital world, namely, collecting part information and strongly associating it with VIN codes, generating intelligent identifiers that carry data throughout the entire lifecycle, and implementing digital warehousing zoning based on classification rules. This establishes a digital mainline that runs through the entire process of parts dismantling, evaluation, warehousing, and trading. Finally, through an intelligent retrieval and matching mechanism, it achieves precise supply and demand matching based on commercial attribute data.

[0026] In terms of refined management, this embodiment solves the pain points of traditional chaotic classification and opaque information, making inventory clear and controllable; in terms of operational efficiency, it greatly improves the speed of parts location, inventory counting and outbound through identification guidance and data synchronization; in terms of commercial value, it accelerates the circulation of high-value parts through precise matching, improves the overall reuse efficiency and market transparency of salvaged parts, and promotes the standardization and sustainable development of the remanufacturing industry.

[0027] like Figure 2A schematic diagram of a multidimensional classification system architecture is shown. In one possible embodiment, the multidimensional classification system based on multidimensional classification coding rules includes functional location classification and business attribute classification dimensions.

[0028] Among them, such as Figure 2 As shown, the functional location classification includes several items from the following core categories: BD (Body Structure Components), DC (Opening and Closing Components and Accessories), EX (Exterior Components), IN (Interior Components), PT (Powertrain Components), CH (Chassis Components), TH (Thermal Management Components), EE (Electrical and Electronic Components).

[0029] It is understandable that by clearly defining eight core categories based on functional location, a standardized classification system based on vehicle system architecture is constructed. The refined classification principle of this embodiment directly addresses the core problem of "lack of unified standards for parts classification and chaotic naming" pointed out in the background technology. Specifically, at the data standardization level, the clear definition of the eight categories ensures consistency and operability in parts information entry, storage, and retrieval, providing a structured foundation for the construction of a central database. At the warehouse management level, the classification logic based on functional location forms a direct mapping relationship with the physical partitioning of the physical warehouse, enabling the Warehouse Management System (WMS) to achieve systematic partitioned management by functional area, significantly improving parts location and inbound / outbound efficiency. Furthermore, the functional location-based classification system fully considers the technical architecture characteristics of modern automobiles, especially by treating electronic and electrical components (EE) and thermal management components (TH) as independent categories, adapting to the special needs of new energy vehicle parts management, and enhancing the adaptability and scalability of the entire system in the process of automotive technology evolution.

[0030] like Figure 2 As shown, the business attribute classification includes: A grade indicating the condition of parts, indicating whether they are new or used; Damage codes that indicate the type of damage; A turnover rate indicator representing the speed of sales circulation; and, This indicates a list of compatible car models for which the device can be installed.

[0031] Understandably, this embodiment constructs a quantitative management system oriented towards market transactions and value assessment. For example, it transforms the traditionally subjective judgment of part conditions (such as age and damage) into standardized data indicators that can be collected and analyzed: the condition grade establishes an objective scale for part quality assessment, the damage code realizes a standardized description of defect types, the turnover rate indicator reflects market demand characteristics, and the compatible vehicle list solves the matching problem between parts and vehicle models through data association technology. These commercial attributes and functional location classifications complement each other, together forming a complete digital profile of the parts.

[0032] Furthermore, the correlation between the compatible vehicle list and VIN code in the commercial attributes enhances traceability capabilities, damage codes can be combined with image information collection to support automated quality inspection, and color grades can be integrated with parts traceability systems to further enhance transaction transparency. The systematic integration of commercial attributes with multi-dimensional attributes of functional location significantly improves the practical value of this invention in commercial applications.

[0033] For example Figure 3 The diagram shows a smart tag attached to a salvaged vehicle part. In one possible embodiment, the smart tag is a QR code and / or an RFID tag, and the entire lifecycle information of the part is obtained by scanning the smart tag.

[0034] Understandably, QR codes or RFID tags, as physical carriers, and defined by their ability to acquire full lifecycle information through scanning, construct a data channel connecting physical parts with a digital management system. QR codes achieve low-cost and easily deployed information association through image recognition technology, while RFID supports contactless batch reading through radio frequency technology. Both identification methods establish a real-time data link with a central database through the unique identification code of the part, ensuring that the full lifecycle information of each part (such as the source vehicle VIN code, disassembly time, inspection report, maintenance record, etc.) can be quickly obtained through mobile terminals or dedicated equipment.

[0035] This embodiment significantly lowers the barrier to information access, allowing on-site personnel to query part information without professional training, thus improving operational convenience. The linkage between intelligent identification and the central database ensures dynamic information updates, avoiding the information lag issues of traditional paper labels. The dual-technology approach of QR code / RFID enhances the applicability of this invention; for example, QR codes are suitable for cost-sensitive scenarios, while RFID is suitable for efficient batch management, enhancing the overall system's application flexibility.

[0036] In one possible embodiment, the physical partitions of the physical warehouse are synchronized in real time with the logical storage locations of the warehouse management system (WMS), and the logical partitions of the warehouse management system (WMS) are mapped to the functional locations.

[0037] Understandably, by establishing a real-time synchronization mechanism between the physical warehouse's zoning and the Warehouse Management System (WMS)'s logical storage locations, and by accurately mapping the WMS's logical zoning to the functional location classification system, a digital warehouse management model combining virtual and physical elements is constructed. This embodiment ensures, through real-time synchronization settings, that any changes in the location of parts in the physical warehouse are immediately reflected in the database, while system commands accurately guide physical operations.

[0038] In one possible embodiment, step S5 further includes: During the retrieval and matching process, the key information of the obtained parts will be generated into an immutable certificate.

[0039] Understandably, based on the intelligent query and matching process, a blockchain traceability and evidence storage mechanism is introduced. This mechanism uses distributed ledger and encryption technology to generate immutable digital evidence of key information about parts. For example, during the parts matching process, key data (such as VIN code binding relationships, quality inspection results, transaction records, etc.) is automatically captured, converted into timestamped hash values, and distributed and stored on multiple nodes, thereby establishing a trustworthy data traceability chain.

[0040] This embodiment effectively addresses the information credibility crisis in the used parts transaction. By using blockchain evidence storage, it ensures that the parts' origin information, quality grade, and circulation history cannot be tampered with, greatly enhancing consumer trust. The blockchain evidence storage, combined with commercial attribute classification (such as condition grade and damage code), forms a data verification closed loop, making the parts quality assessment results auditable and providing a data foundation for derivative applications such as insurance claims and value assessment.

[0041] Figure 4 This is a structural diagram of a vehicle parts management system based on a multidimensional classification system and digital identification, provided by an embodiment of the present invention. Figure 5 This is a system architecture diagram for a specific implementation scenario. Combined with... Figure 4 and Figure 5 As shown, a vehicle parts management system based on a multi-dimensional classification system and digital identification includes a multi-dimensional classification coding module, an information collection and binding module, an intelligent identification generation module, a digital warehouse management module, an intelligent query and matching module, and a central database, wherein: A multidimensional classification coding module is used to establish and execute classification coding rules for dismantled vehicle parts. The rules include a two-dimensional system of functional location classification and commercial attribute classification. The information acquisition and binding module is used to acquire images, dimensional data and functional status information of parts at the disassembly end and strongly associate them with the vehicle identification number (VIN) of the source vehicle. The intelligent identification generation module is used to generate a unique identification code and an intelligent identification that can be physically attached to each part based on the output of the multidimensional classification coding module and the part information collected. The digital warehouse management module is used to allocate parts with smart tags to the corresponding physical partitions of the physical warehouse according to their functional location, and to realize the real-time synchronization of logical storage locations and classification information. The intelligent query and matching module receives query requests through the online platform interface, supports retrieval based on part information, vehicle identification number (VIN) and / or classification coding rules, and achieves accurate matching based on commercial attribute classification. The central database stores the identification codes, classification information, storage locations, and full lifecycle data of all parts, and interacts with various modules.

[0042] It is understood that the vehicle parts management system based on multidimensional classification system and digital identification provided by the present invention corresponds to the vehicle parts management method based on multidimensional classification system and digital identification provided in the foregoing embodiments. The relevant technical features of the vehicle parts management system based on multidimensional classification system and digital identification can be referred to the relevant technical features of the vehicle parts management method based on multidimensional classification system and digital identification.

[0043] In this embodiment, the management process at the methodological level is transformed into a physical technical architecture through the coordinated operation of six functional modules. The system uses a central database as its nerve center, achieving end-to-end data flow from collection to application: the multi-dimensional classification and coding module establishes two-dimensional classification rules based on functional location and commercial attributes, providing standardized "digital ID cards" for parts; the information collection and binding module ensures accurate mapping between physical parts and digital information through a strong association between image acquisition equipment and VIN codes; the intelligent identification generation module converts classification information into physically attachable QR codes / RFID tags, building a bridge between the virtual and physical worlds; the digital warehouse management module achieves dynamic synchronization between logical partitions and physical storage locations through the WMS system, solving the problem of chaotic traditional warehousing; and the intelligent query and matching module intelligently matches multi-dimensional attributes based on an algorithm engine, completing the final transformation from data to decision-making.

[0044] The system provided in this embodiment solves the industry pain points of chaotic part naming and lack of information transparency through standardized classification, enabling refined management of dismantled vehicle parts; it significantly shortens the part location time and improves operational efficiency through identification guidance and intelligent retrieval; and it greatly improves the circulation efficiency of high-value parts by accurately matching recycled parts, thereby enhancing the commercial value of dismantled vehicle used parts.

[0045] In one possible embodiment, the digital warehouse management module integrates a warehouse management system (WMS), the logical partitions of which are mapped to the functional location categories to guide the physical storage and picking of parts.

[0046] Understandably, the precise mapping between logical partitions and functional location categories in a Warehouse Management System (WMS) constructs the "nerve center" system of digital warehousing. First, the WMS system establishes a standardized expression of classification standards in digital space by transforming abstract functional location categories (such as eight categories including BD body structural components and PT powertrain components) into a concrete logical partition architecture. Second, by utilizing the dynamic association between logical partitions and physical warehouse partitions, it achieves seamless integration of "digital instructions - physical operations." Finally, through a real-time data synchronization mechanism, it ensures consistency between the logical and physical layers for any warehousing operation.

[0047] This embodiment effectively improves warehouse space utilization and shortens part positioning time through systematic zoning guidance; the mapping mechanism provides reliable logistics support for the entire management system, effectively improving picking accuracy.

[0048] In one possible embodiment, the intelligent query and matching module has a built-in recommendation algorithm engine for optimizing matching priority based on historical transaction data, a list of compatible vehicle models, and condition grades.

[0049] Understandably, this embodiment transforms multi-dimensional data into optimal matching strategies through the intelligent decision-making mechanism of the recommendation algorithm engine. For example: First, the algorithm engine uses machine learning models to deeply mine historical transaction data and establish correlation rules between part attributes and transaction success rates; second, it constructs a vehicle-part matching matrix based on a list of compatible car models, overcoming the limitations of relying on human experience in traditional matching; finally, through quantitative evaluation of condition grades, it achieves precise matching between part quality and user needs.

[0050] The system in this embodiment can dynamically adjust matching priorities based on real-time market data, upgrading the traditional keyword search mode to an intelligent recommendation mode, which significantly improves the matching efficiency of high-value parts. When a user queries parts for a specific car model, the system not only displays basic compatibility results but also comprehensively considers the condition grade of the parts (such as new, good, usable) and turnover rate data, prioritizing the recommendation of the option with the best cost performance. This intelligent decision-making mechanism effectively solves the problem of "low efficiency in supply and demand matching" mentioned in the background technology, and maximizes inventory turnover rate through a data-driven matching strategy, creating significant commercial value for the used car parts trading platform.

[0051] In one possible embodiment, the intelligent query and matching module integrates a blockchain traceability unit to generate tamper-proof evidence of key information of the parts.

[0052] It is understandable that this embodiment, through the integrated application of blockchain traceability units, constructs an immutable data storage mechanism within the intelligent query and matching module. Combined with... Figure 5 As shown in the system architecture diagram, firstly, using blockchain's distributed ledger technology, key information about parts (such as VIN code binding relationships, quality inspection data, transaction records, etc.) is generated into unique digital fingerprints through a hash algorithm and packaged into blocks in chronological order. Secondly, a consensus mechanism is used to distribute the block information across multiple nodes, ensuring the decentralized and tamper-proof nature of the data. Finally, smart contract technology is used to automate the verification and traceability of the stored data. When a user queries for parts, the system can provide trusted data verified by the blockchain. This embodiment effectively solves the information asymmetry problem in second-hand parts transactions, ensuring the authenticity and reliability of parts traceability information (such as accident history, replacement records, etc.) through the immutability of blockchain, thereby enhancing transaction trust.

[0053] It is worth noting that the blockchain traceability unit also forms a deep collaboration with other modules in the system: after the information collection and binding module completes the collection of part information, the key data will be synchronized to the blockchain for evidence storage; when the intelligent query and matching module provides matching results, it can simultaneously display traceability information verified by the blockchain. This integration not only enhances the reliability of the system, but also provides a reliable data foundation for derivative application scenarios such as part quality certification, value assessment, and insurance loss assessment.

[0054] The present invention will now be illustrated with an example in a specific implementation scenario.

[0055] In this implementation scenario, the information collection terminal for gathering part information can be an industrial PAD in conjunction with an image acquisition device. The central database can utilize cloud database services (such as MySQL or SQL Server). Anti-fouling QR code labels are preferred for smart labeling. The physical warehouse is physically partitioned according to the eight categories mentioned in the previous embodiments: BD, DC, EX, IN, PT, CH, TH, and EE, with each shelf equipped with a prominent category label. The online platform needs to develop an intelligent compatibility query plugin and interact with the central database via an API interface.

[0056] First, after completing the vehicle disassembly, the operator uses an information collection terminal to take multi-angle photos of the parts to be put into storage, measure key dimensions, and assess their functional status.

[0057] Subsequently, select the category of the part on the terminal program (for example, "left front headlight" belongs to "EX exterior parts"). The system will automatically generate a unique identification code according to preset rules (for example, "EX-BMW-3Series-G20-2020-001") and strongly associate the code with the VIN code of the source vehicle.

[0058] Next, the intelligent label generator will immediately print a QR code label containing the unique identification code information. The operator will then firmly affix the QR code label to the corresponding part. (See the attached image for an example.) Figure 3 As shown.

[0059] Warehouse managers scan the QR code label on the part with a handheld terminal, and the WMS system will automatically instruct it to be stored in the designated location in the "Exterior Area - BMW Dedicated Shelf" according to its "EX" classification.

[0060] When an end customer searches for parts on the online platform, they can enter their vehicle's VIN code or detailed model number. The platform's search engine can then automatically match and retrieve a list of all compatible parts from the central database (for example, all parts belonging to the "EX" category that are compatible with "BMW G20 3 Series"). The system will clearly display detailed images, condition, price, and inventory location of each part, thereby completing an efficient and accurate transaction matching process.

[0061] Please see Figure 6 , Figure 6 A schematic diagram illustrating an embodiment of the electronic device provided in this invention. For example... Figure 6 As shown, this embodiment of the invention provides an electronic device 600, including a memory 610, a processor 620, and a computer program 611 stored in the memory 610 and executable on the processor 620. When the processor 620 executes the computer program 611, it performs the following steps: S1. Based on the functional location classification and commercial attribute classification of salvaged vehicle parts, create multidimensional classification coding rules; S2. Collect images, dimensions, and functional status information of the dismantled parts, and strongly associate the part information with the vehicle identification number (VIN) of the source vehicle; S3. Based on the multidimensional classification coding rules and the collected part information, generate a unique identification code and a smart identifier that can be physically attached to the part for each part. The smart identifier is associated with the full life cycle information of the corresponding part in the database. S4. Based on functional location classification, assign parts with intelligent tags to the corresponding physical partitions in the physical warehouse and synchronize them with the database; S5. In response to a query request, retrieve the database based on part information, vehicle identification number (VIN) and / or classification coding rules, and achieve accurate part matching based on commercial attribute classification.

[0062] Please see Figure 7 , Figure 7 This is a schematic diagram illustrating an embodiment of a computer-readable storage medium provided by the present invention. (See diagram below.) Figure 7As shown, this embodiment provides a computer-readable storage medium 700, on which a computer program 711 is stored. When the computer program 711 is executed by a processor, it performs the following steps: S1. Based on the functional location classification and commercial attribute classification of salvaged vehicle parts, create multidimensional classification coding rules; S2. Collect images, dimensions, and functional status information of the dismantled parts, and strongly associate the part information with the vehicle identification number (VIN) of the source vehicle; S3. Based on the multidimensional classification coding rules and the collected part information, generate a unique identification code and a smart identifier that can be physically attached to the part for each part. The smart identifier is associated with the full life cycle information of the corresponding part in the database. S4. Based on functional location classification, assign parts with intelligent tags to the corresponding physical partitions in the physical warehouse and synchronize them with the database; S5. In response to a query request, retrieve the database based on part information, vehicle identification number (VIN) and / or classification coding rules, and achieve accurate part matching based on commercial attribute classification.

[0063] This invention provides a method, system, and storage medium for managing dismantled auto parts based on a multi-dimensional classification system and digital identification. Based on the collaborative principle of "multi-dimensional classification system + digital identification + intelligent matching," it transforms non-standard dismantled auto parts into structured data objects by constructing a two-dimensional coding rule that includes functional location classification (e.g., eight categories such as BD, PT, etc.) and commercial attribute classification (condition grade, damage code, etc.). It utilizes VIN code binding and intelligent identification (QR code / RFID) to achieve a virtual-physical mapping between physical parts and their entire lifecycle information. A WMS system enables real-time synchronization of warehouse zoning and classification logic. Finally, with the help of an intelligent algorithm engine and a blockchain traceability unit, it completes closed-loop management from data collection to precise matching. At the management level, this invention solves the pain points of chaotic classification and lack of transparency in traditional car parts, achieving inventory visualization and reliable traceability. At the efficiency level, it significantly improves the efficiency of parts location through identification guidance and intelligent retrieval, reducing labor costs. At the business level, it accelerates the circulation of high-value parts by relying on attribute-driven matching mechanisms, effectively improving the turnover rate of used parts. At the same time, the blockchain evidence storage mechanism enhances market credibility, providing a complete solution for the digital transformation of the automotive remanufacturing industry.

[0064] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0065] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0066] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0069] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0070] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification, characterized in that, include: Based on the functional location classification and commercial attribute classification of salvaged vehicle parts, create multidimensional classification coding rules; Collect images, dimensions, and functional status information of dismantled vehicle parts, and strongly associate the part information with the vehicle identification number (VIN) of the source vehicle; Based on the multidimensional classification coding rules and the collected part information, a unique identification code and a smart tag that can be physically attached to the part are generated for each part. The smart tag is associated with the full life cycle information of the corresponding part in the database. Based on functional location classification, parts with intelligent tags are assigned to the corresponding physical partitions in the physical warehouse and synchronized with the database; In response to a query request, the database is searched based on part information, vehicle identification number (VIN) and / or classification coding rules, and accurate matching of parts is achieved based on commercial attribute classification.

2. The method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification as described in claim 1, characterized in that, The functional location classification includes several items from the following core categories: BD (Body Structure Components), DC (Opening and Closing Components and Accessories), EX (Exterior Components), IN (Interior Components), PT (Powertrain Components), CH (Chassis Components), TH (Thermal Management Components), EE (Electrical and Electronic Components).

3. A method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification, as described in claim 1 or 2, characterized in that... The business attribute classification includes: A grade indicating the condition of parts, indicating whether they are new or used; Damage codes that indicate the type of damage; A turnover rate indicator representing the speed of sales circulation; and, This indicates a list of compatible car models for which the device can be installed.

4. The method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification as described in claim 1, characterized in that, The smart identifier is a QR code and / or an RFID tag. Scanning the smart identifier will provide information about the entire lifecycle of the part.

5. The method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification as described in claim 1, characterized in that, The physical partitions of the physical warehouse are synchronized in real time with the logical storage locations of the warehouse management system (WMS), and the logical partitions of the warehouse management system (WMS) are mapped to the functional locations.

6. The method for managing dismantled vehicle parts based on a multidimensional classification system and digital identification as described in claim 1, characterized in that, Also includes: During the retrieval and matching process, the key information of the obtained parts will be generated into an immutable certificate.

7. A vehicle parts management system based on a multi-dimensional classification system and digital identification, characterized in that, include: A multidimensional classification coding module is used to establish and execute classification coding rules for dismantled vehicle parts. The rules include a two-dimensional system of functional location classification and commercial attribute classification. The information acquisition and binding module is used to acquire images, dimensional data and functional status information of parts at the disassembly end and strongly associate them with the vehicle identification number (VIN) of the source vehicle. The intelligent identification generation module is used to generate a unique identification code and an intelligent identification that can be physically attached to each part based on the output of the multidimensional classification coding module and the part information collected. The digital warehouse management module is used to allocate parts with smart tags to the corresponding physical partitions of the physical warehouse according to their functional location, and to realize the real-time synchronization of logical storage locations and classification information. The intelligent query and matching module receives query requests through the online platform interface, supports retrieval based on part information, vehicle identification number (VIN) and / or classification coding rules, and achieves accurate matching based on commercial attribute classification. The central database stores the identification codes, classification information, storage locations, and full lifecycle data of all parts, and interacts with various modules.

8. A vehicle parts management system based on a multi-dimensional classification system and digital identification as described in claim 7, characterized in that, The digital warehouse management module integrates a warehouse management system (WMS), and the logical partitions of the warehouse management system (WMS) are mapped to the functional location categories to guide the physical storage and picking of parts.

9. A vehicle parts management system based on a multi-dimensional classification system and digital identification as described in claim 7, characterized in that, The intelligent query and matching module has a built-in recommendation algorithm engine, which optimizes the matching priority based on historical transaction data, a list of compatible car models, and condition levels.

10. A vehicle parts management system based on a multi-dimensional classification system and digital identification as described in claim 7, characterized in that, The intelligent query and matching module integrates a blockchain traceability unit, which is used to generate tamper-proof evidence of key information of parts.

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