A method, device, equipment and medium for integrated management of vehicle files

Abstract

The present application provides a method, apparatus, device and medium for integrated management of vehicle files, relating to the technical field of data processing. The method includes: obtaining the property right certificate file of the target vehicle; identifying the property right certificate file to obtain multiple vehicle information; obtaining the target classification dimension, where the target classification dimension is any one of multiple classification dimensions, and the classification dimension is used to classify the vehicle information in the vehicle property right certificate; querying the target vehicle information corresponding to the target classification dimension among the multiple vehicle information; determining the target group of the target vehicle information according to the classification standard corresponding to the target classification dimension; classifying the target vehicle information into the target group, and archiving the property right certificate file according to the target group. The present application can improve the efficiency of managing the file information of vehicles.

Description

Technical Field

[0001] The present application relates to the technical field of data processing, and particularly relates to a method, device, equipment and medium for integrated management of vehicle files. Background Art

[0002] A vehicle ownership certificate (abbreviated as ownership certificate) is an official document used to prove the ownership of a specific vehicle by an individual or entity. This certificate is usually issued by the government traffic management department or other authorized agencies, and contains key information of the vehicle, such as the vehicle identification number (VIN), vehicle model, manufacturer, specific specifications and color of the vehicle, etc. In addition, the ownership certificate will also show the registration date of the vehicle and the name and address information of the vehicle owner. In cases such as vehicle buying and selling, transfer or mortgage loan, the vehicle ownership certificate is an important document that must be presented, and it is a legal certificate of the legal ownership of the vehicle. The management and update of this certificate are crucial for ensuring the legality of vehicle transactions and the correct recording of vehicle ownership.

[0003] When a customer applies to a bank for a vehicle loan, once the bank approves the loan, the customer and the bank will sign a loan agreement, which includes the terms of mortgaging the vehicle ownership certificate. After the loan is issued, the vehicle ownership certificate is transferred to the bank as collateral, and the bank will keep this certificate until the loan is fully repaid. During this period, the bank will file the content of the vehicle ownership certificate and establish a file related to the vehicle in the bank's record system, including vehicle type, vehicle identification number, vehicle owner information, loan amount, repayment plan, etc.

[0004] In the conventional vehicle file management method, all information of a vehicle is grouped into one file, which is convenient for quickly querying all information related to the vehicle. However, there is a drawback in this management scheme, that is, in the case of a large amount of data, namely, the file information of a large number of vehicle ownership certificates. The large amount of data makes it complicated and time-consuming to perform specific data analysis. For example, when analyzing the data of vehicles with outstanding loans in the bank, it is necessary to query the information related to the loan repayment situation in each vehicle file one by one from a pile of chaotic data, and finally perform integrated analysis, so the efficiency of vehicle file information management is relatively low. Summary of the Invention

[0005] The present application provides a method, device, equipment and medium for integrated management of vehicle files, which can improve the efficiency of vehicle file information management.

[0006] In an aspect of the object of the present application, a method for integrated management of vehicle files is provided, and the method includes:

[0007] Obtain the ownership certificate file of the target vehicle;

[0008] Identify the ownership certificate file to obtain multiple vehicle information;

[0009] Obtain a target classification dimension, where the target classification dimension is any one of multiple classification dimensions, and the classification dimension is used to classify vehicle information in a vehicle property certificate;

[0010] Query the target vehicle information corresponding to the target classification dimension among multiple pieces of the vehicle information;

[0011] Determine the target group of the target vehicle information according to the classification standard corresponding to the target classification dimension;

[0012] Classify the target vehicle information into the target group, and file the property certificate file according to the target group.

[0013] By adopting the above technical solution, the automated and intelligent management method solves the problem of low efficiency of traditional management methods in processing a large amount of data. First, through the automatic recognition of property certificate files, various key information of vehicles, such as vehicle type, vehicle identification number, owner information, etc., is quickly extracted. Then, according to a predetermined target classification dimension (such as vehicle type, etc.), these information is automatically classified and sorted. This means that when specific data analysis is required, such as analyzing multiple vehicles with the vehicle type of mini cars, the vehicle information that has been classified and filed according to the vehicle type can be directly queried, without having to check the individual files of each vehicle one by one. This greatly reduces the time and effort required for retrieval and analysis, and improves the efficiency of data management. In addition, through automatic filing processing, the accessibility and organization of data are ensured, making the management of a large number of vehicle files more efficient and accurate.

[0014] Optionally, the querying of the target vehicle information corresponding to the target classification dimension among multiple pieces of the vehicle information specifically includes:

[0015] According to a preset first correspondence relationship, obtain multiple target classification information corresponding to the target classification dimension among multiple pre-stored classification standard information in a preset database, where the preset first correspondence relationship is the correspondence relationship between the classification dimension and the pre-stored classification standard information;

[0016] Determine the vehicle information that is the same as any one of the target classification information among multiple pieces of the vehicle information;

[0017] Set the vehicle information that is the same as any one of the target classification information among multiple pieces of the vehicle information as the target vehicle information.

[0018] By adopting the above technical solution, through establishing a preset corresponding relationship and utilizing the pre-stored classification standard information, the efficient and accurate classification of vehicle information is achieved, thereby greatly improving the efficiency of vehicle file management and the accuracy of data analysis. Specifically, first, the corresponding relationships between various classification dimensions (such as vehicle type, usage status, etc.) and the corresponding classification criteria are defined in a preset database. When querying vehicle information of a specific category, all classification standard information related to the target classification dimension can be quickly retrieved according to these preset corresponding relationships. Then, these standard information are used to screen the entire vehicle information database to identify the specific vehicle information that matches the target classification criteria. This means that whether it is necessary to find all vehicles of a specific type, vehicles in a specific state, or vehicles that meet other specific conditions, it can be completed quickly and accurately.

[0019] Optionally, determining the target group of the target vehicle information according to the classification criteria corresponding to the target classification dimension specifically includes:

[0020] According to a preset second corresponding relationship, determine the target group information corresponding to the target group among multiple pre-stored group information, where the preset second corresponding relationship is the corresponding relationship between the pre-stored group information and the classification group, and the target group is any one of the multiple classification groups;

[0021] If it is determined that the target vehicle information is the same as the target group information, then classify the target vehicle information into the target group corresponding to the target group information.

[0022] By adopting the above technical solution, establishing and applying the preset second corresponding relationship effectively classifies the target vehicle information into the corresponding target group, improving the organization and retrievability of vehicle file information management. Specifically, first, the corresponding relationship between the pre-stored group information and the classification group is defined. These group information can be based on different characteristics and attributes of the vehicle, such as vehicle type, usage status, ownership status, etc. When identifying specific vehicle information, it will judge which target group this information should belong to according to these preset corresponding relationships. If it is determined that a certain vehicle information meets the specific target group information, then this information will be automatically classified into that target group.

[0023] Optionally, the identifying the property certificate file to obtain multiple vehicle information specifically includes:

[0024] Perform character recognition on the property certificate file to obtain the text content;

[0025] Identify multiple type character groups and multiple content character groups included in the text content, where the type character groups are used to describe the types of the content character groups;

[0026] Delete the multiple types of character groups in the text content, and delete the code-type character groups among the multiple content-type character groups to obtain the vehicle information. The code-type character group is a character combination containing numbers or letters.

[0027] By adopting the above technical solution, through character recognition of the property ownership certificate file and processing of specific types of character groups, the process of extracting vehicle information is realized. Then, identify and distinguish the type character groups (used to describe information types) and content-type character groups (actual information content) in the text content. On this basis, the solution specifically points out deleting the type character groups and the code-type character groups in the text (such as character combinations containing numbers or letters). This step removes potentially unnecessary technical or identification information, making the remaining vehicle information more directly relevant to subsequent processing steps and improving the efficiency of data processing.

[0028] Optionally, before querying the target vehicle information corresponding to the target classification dimension among the multiple vehicle information, the method includes:

[0029] According to the target type character group, establish the corresponding relationship between the target code-type character group and the target type label to obtain the preset third corresponding relationship. Among them, the target type character group is the type character group corresponding to the target code-type character group among the multiple type character groups, and the target code-type character group is any one of the multiple code-type character groups;

[0030] If it is determined that the target classification dimension corresponds to the target type character group, then according to the third corresponding relationship, establish the corresponding relationship between the target classification dimension and the target type label to obtain the preset fourth corresponding relationship.

[0031] By adopting the above technical solution, optimize the classification and retrieval process of vehicle information by establishing refined corresponding relationships, thereby improving the accuracy and efficiency of data processing. Specifically, the solution first establishes the corresponding relationship between the target type character group (such as vehicle type label, vehicle identification number label, etc.) and the target code-type character group (such as the actual vehicle type code, vehicle identification number, etc.), which is called the preset third corresponding relationship. Subsequently, when it is determined that the target classification dimension (such as vehicle type) corresponds to a specific target type character group, the preset fourth corresponding relationship between the target classification dimension and the target type label (specific classification identifier) will be established according to this third corresponding relationship.

[0032] Optionally, determining the target group of the target vehicle information according to the classification standard corresponding to the target classification dimension specifically further includes:

[0033] Determine the target category label corresponding to the target classification dimension according to the preset fourth corresponding relationship;

[0034] Determine the target code-type character group corresponding to the target category label according to the preset third corresponding relationship;

[0035] Obtain the target screening information included in the target group, where the target screening information is information on the screening criteria for the code-type character group;

[0036] According to the target screening information, if it is determined that the target code-type character group meets the screening criteria of the target screening information, then classify the vehicle information of this target code-type character group into the target group.

[0037] By adopting the above technical solution, through a series of precise corresponding relationships and screening criteria, the detailed classification and accurate division of vehicle information are effectively realized, thus significantly improving the efficiency and accuracy of vehicle file management. In this solution, first, the preset fourth corresponding relationship is used to determine the target category label (specific classification identifier) corresponding to the target classification dimension (such as vehicle type). Subsequently, the target code-type character group (specific vehicle information) corresponding to these target category labels is determined through the third corresponding relationship. The key to this step is to obtain the target screening information included in the target group, that is, the specific screening criteria for the code-type character group. Applying these screening criteria can determine whether a certain code-type character group meets specific screening conditions. If it meets, the corresponding vehicle information will be classified into the corresponding target group.

[0038] Optionally, the step of classifying the target vehicle information into the target group and archiving the property right certificate file according to the target group specifically includes:

[0039] Obtain the file storage location corresponding to the target group;

[0040] Store the property right certificate file to the file storage location and perform a marking process on the target vehicle information.

[0041] By adopting the above technical solution, the target vehicle information is classified into specific target groups, and the property right certificate files are archived in an orderly manner according to these groups, significantly improving the organization and retrieval efficiency of vehicle file management. In this process, first, the corresponding file storage location is found according to the determined target group, then the relevant property right certificate files are stored in this location, and a marking process is performed on the target vehicle information. Such operations make the file storage orderly and standardized, so that when retrieving or referencing vehicle information of a specific group, the relevant files can be quickly and accurately located.

[0042] In a second aspect of the present application, a vehicle file integrated management device is provided, including an acquisition module, an identification module, a query module, a classification module, and a management module, where:

[0043] The acquisition module is used to acquire the property right certificate file of the target vehicle;

[0044] The identification module is used to identify the property right certificate file to obtain multiple vehicle information;

[0045] The acquisition module is used to acquire a target classification dimension, where the target classification dimension is any one of multiple classification dimensions, and the classification dimension is used to classify the vehicle information in the vehicle property right certificate;

[0046] The query module is used to query the target vehicle information corresponding to the target classification dimension among the multiple vehicle information;

[0047] The classification module is used to determine the target group of the target vehicle information according to the classification standard corresponding to the target classification dimension;

[0048] The management module is used to classify the target vehicle information into the target group and file the property right certificate file according to the target group.

[0049] Optionally, the acquisition module is used to acquire, according to a preset first correspondence, multiple target classification information corresponding to the target classification dimension from multiple pre-stored classification standard information in a preset database, where the preset first correspondence is the correspondence between the classification dimension and the pre-stored classification standard information;

[0050] The query module is used to determine the vehicle information identical to any one of the target classification information among the multiple vehicle information;

[0051] The management module is used to set the vehicle information identical to any one of the target classification information among the multiple vehicle information as the target vehicle information.

[0052] Optionally, the query module is used to determine, according to a preset second correspondence, the target group information corresponding to the target group among multiple pre-stored group information, where the preset second correspondence is the correspondence between the pre-stored group information and the classification group, and the target group is any one of multiple classification groups;

[0053] The classification module is used to divide the target vehicle information into the target group corresponding to the target group information if it is determined that the target vehicle information is the same as the target group information.

[0054] Optionally, the recognition module is configured to perform character recognition on the property right certificate file to obtain text content;

[0055] The recognition module is configured to recognize multiple types of character groups and multiple content-based character groups included in the text content, where the type-based character groups are used to describe the types of the content-based character groups;

[0056] The management module is configured to delete the multiple type-based character groups in the text content and delete the code-based character groups among the multiple content-based character groups to obtain the vehicle information, where the code-based character groups are character combinations including numbers or letters.

[0057] Optionally, the classification module is configured to establish a correspondence between a target code-based character group and a target type label according to a target type-based character group to obtain a preset third correspondence, where the target type-based character group is the type-based character group corresponding to the target code-based character group among the multiple type-based character groups, and the target code-based character group is any one of the multiple code-based character groups;

[0058] The management module is configured to, if it is determined that the target classification dimension corresponds to the target type-based character group, establish a correspondence between the target classification dimension and the target type label according to the third correspondence to obtain a preset fourth correspondence.

[0059] Optionally, the query module is configured to determine the target type label corresponding to the target classification dimension according to the preset fourth correspondence;

[0060] The query module is configured to determine the target code-based character group corresponding to the target type label according to the preset third correspondence;

[0061] The acquisition module is configured to acquire target screening information included in the target group, where the target screening information is information on the screening criteria for the code-based character group;

[0062] The management module is configured to, according to the target screening information, if it is determined that the target code-based character group meets the screening criteria of the target screening information, divide the vehicle information of the target code-based character group into the target group.

[0063] Optionally, the acquisition module is configured to acquire the file storage location corresponding to the target group;

[0064] The management module is configured to store the property right certificate file to the file storage location and perform marking processing on the target vehicle information.

[0065] In a third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, and both the user interface and the network interface are used to communicate with other devices. The processor is used to execute the instructions stored in the memory, so that the electronic device executes the method described in any one of the above.

[0066] In a fourth aspect of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores instructions, and when the instructions are executed, the method described in any one of the above is executed.

[0067] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0068] The automated and intelligent management method solves the problem of low efficiency of traditional management methods in processing a large amount of data. First, through the automatic recognition of the property right certificate files, various key information of the vehicle, such as vehicle type, vehicle identification number, owner information, etc., are quickly extracted. Then, these information are automatically classified and sorted according to the predetermined target classification dimensions (such as vehicle type, etc.). This means that when specific data analysis is required, for example, analyzing multiple vehicles with the vehicle type of mini cars, the vehicle information that has been classified and archived according to the vehicle type can be directly queried, without having to check the individual files of each vehicle one by one. This greatly reduces the time and effort required for retrieval and analysis, and improves the efficiency of data management. In addition, through the automatic archiving process, the accessibility and organization of the data are ensured, making the management of a large number of vehicle files more efficient and accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 is a schematic flowchart of a vehicle file integrated management method disclosed in an embodiment of the present application;

[0070] Figure 2 is a schematic diagram of a vehicle property right certificate disclosed in an embodiment of the present application;

[0071] Figure 3 is a schematic diagram of a type of character group disclosed in an embodiment of the present application;

[0072] Figure 4 is a schematic diagram of a content-based character group disclosed in an embodiment of the present application;

[0073] Figure 5 is a schematic diagram of a text-based character group disclosed in an embodiment of the present application;

[0074] Figure 6 is a schematic diagram of a code-based character group disclosed in an embodiment of the present application;

[0075] Figure 7 It is a schematic diagram of a type of character group corresponding to the code type character group disclosed in the embodiments of the present application;

[0076] Figure 8 It is a module schematic diagram of a vehicle file integrated management device disclosed in the embodiments of the present application;

[0077] Figure 9 It is a schematic diagram of the structure of an electronic device disclosed in the embodiments of the present application.

[0078] Explanation of reference numerals: 801, acquisition module; 802, recognition module; 803, query module; 804, classification module; 805, management module; 901, processor; 902, communication bus; 903, user interface; 904, network interface; 905, memory. Detailed implementation manners

[0079] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments.

[0080] In the description of the embodiments of the present application, words such as "for example" or "for illustration" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "for example" or "for illustration" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly, using words such as "for example" or "for illustration" is intended to present relevant concepts in a specific manner.

[0081] In the description of the embodiments of the present application, the meaning of the term "a plurality" refers to two or more. For example, a plurality of systems refers to two or more systems, and a plurality of screen terminals refers to two or more screen terminals. In addition, the terms "target", "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the technical features indicated. Thus, the features defined with "target", "second" may explicitly or implicitly include one or more of such features. The terms "include", "comprise", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0082] A vehicle ownership certificate (hereinafter referred to as the ownership certificate) is an official document used to prove the ownership of a specific vehicle by an individual or entity. This certificate is usually issued by the government transportation management department or other authorized agencies and contains key information about the vehicle, such as the vehicle identification number (VIN), vehicle model, manufacturer, specific specifications and color of the vehicle, etc. In addition, the ownership certificate will also show the registration date of the vehicle and the name and address information of the vehicle owner. In cases such as vehicle buying and selling, transfer, or mortgage loans, the vehicle ownership certificate is an important document that must be presented. It is a legal certificate of the legal ownership of the vehicle. The management and update of this certificate are crucial for ensuring the legality of vehicle transactions and the correct recording of vehicle ownership.

[0083] When a customer applies for a vehicle loan from a bank, once the bank approves the loan, the customer and the bank will sign a loan agreement, which includes the terms of mortgaging the vehicle ownership certificate. After the loan is issued, the vehicle ownership certificate is transferred to the bank as collateral, and the bank will keep this certificate until the loan is fully repaid. During this period, the bank will file the content of the vehicle ownership certificate and establish a file related to the vehicle in the bank's record system, including vehicle type, vehicle identification number, vehicle owner information, loan amount, repayment plan, etc.

[0084] In the conventional vehicle file management method, all information of a vehicle is grouped into one file, which is convenient for quickly querying all information related to the vehicle. However, there is a drawback in this management scheme, that is, in the case of a large amount of data, namely, the file information of a large number of vehicle ownership certificates. A large amount of data makes it complex and time-consuming to perform specific data analysis. For example, when analyzing the data of vehicles with outstanding loans in the bank, it is necessary to query the information related to the loan repayment situation in each vehicle file one by one from a pile of messy data, and finally perform integrated analysis, so the efficiency of vehicle file information management is relatively low.

[0085] This embodiment discloses a method for integrated management of vehicle files, referring to Figure 1 , including the following steps S110 - S160:

[0086] S110, obtain the ownership certificate file of the target vehicle.

[0087] The method for integrated management of vehicle files disclosed in the embodiment of this application is applied to a server. The server includes but is not limited to electronic devices such as mobile phones, tablets, wearable devices, PCs (Personal Computers), etc., and can also be a background server running a method for integrated management of vehicle files. The server can be implemented by an independent server or a server cluster composed of multiple servers.

[0088] When a user applies for a vehicle loan from a bank, the physical vehicle ownership certificate document, also known as the vehicle registration certificate, is usually mortgaged to the bank. However, physical document management is inconvenient, especially when querying information. Therefore, it is usually necessary to obtain the electronic version of the ownership certificate document of the target vehicle first. Generally, only the physical vehicle ownership certificate needs to be converted into a digital format through a scanner, usually an uneditable scanned file such as PDF or an image, to obtain the ownership certificate document of the target vehicle.

[0089] S120, identify the ownership certificate document to obtain multiple vehicle information.

[0090] Use OCR software or service to perform character recognition on the scanned ownership certificate document. Commonly used OCR tools include Tesseract, ABBYY FineReader, etc. The OCR software will convert the text in the image into a machine-readable text format. Usually, manual post-processing of the OCR conversion results is also required. This may include correcting typos, deleting irrelevant characters, formatting the text, etc., to ensure that the text content after conversion maintains the structure and content of the original document.

[0091] Refer to Figure 2 , Figure 2 As a part of the vehicle ownership certificate document, it can be seen that the vehicle ownership certificate document usually includes two parts, the type character group and the content character group. Among them, the type character group is a character combination used to describe the type of information, that is, a character combination that describes the type of the content character group. For example, "vehicle type", "engine number", etc. Refer to Figure 3 , Figure 3 The content shown in Figure 2 are all the type character groups included in the text content of the vehicle ownership certificate of Figure 4 , Figure 4 The content shown in Figure 2 are all the content character groups included in the text content of the vehicle ownership certificate of

[0092] Based on the above content, it can be understood that the type character group is mainly used to help users determine the type of content expressed by the corresponding content character group. For example, it helps users understand that the string of characters "WXXXJ8AXXXXX8" represents the vehicle identification number / frame number of the vehicle, rather than the engine number.

[0093] In a possible implementation, this type of character group has little significance for subsequent data processing because when the content-based character group is a text-based character group, the computer can understand its meaning through natural language processing technology. A text-based character group means that the content of the character group is a combination of Chinese characters or other language texts, and the basic units that make up the text-based character group are Chinese characters or words, etc. For example, "miniature car", "gasoline", and "customs import", etc., are all text-based character groups in the content-based character groups.

[0094] Opposite to the text-based character group is the code-based character group, that is, the content of the character group is a combination of letters and numbers of characters, or the content contains a combination of letters and numbers. For example, "WXXXJ8AXXXXX8", "1X5 / XXRXX 74T", "front 1XXX rear 1XX2 mm", etc. The characteristic of the code-based character group compared to the text-based character group is that if the corresponding type of character group is lacking, neither a person nor a computer can determine the meaning represented by this character group. For example, for the code-based character group "1X5 / XXRXX74T", if there is no corresponding type of character group "tire specification", it is usually difficult to accurately determine the meaning represented by this string of characters.

[0095] Based on the above description, for the text-based character groups included in multiple content-based character groups, the server can determine their expressed meanings without the type of character group. Therefore, after identifying multiple type of character groups and multiple content-based character groups included in the text content, all type of character groups in the text content can be directly deleted, and the code-based character groups in the content-based character groups can be deleted, while retaining the text-based character groups, and finally the vehicle information is obtained. For example, for Figure 2 the text content in, after processing according to the above method, the text-based character groups as shown in Figure 5 will be obtained. The finally retained text-based character groups are also the text descriptions of the vehicle information in the vehicle ownership certificate.

[0096] S130, obtain the target classification dimension.

[0097] According to the actual file classification requirements of the bank, determine multiple classification dimensions. The classification dimensions are used to classify the vehicle information in the vehicle ownership certificate to achieve dividing the vehicle ownership certificate into corresponding groups. For example, the classification dimension can be the vehicle type, then the vehicle ownership certificate can be divided into sedans, SUVs, trucks, commercial vehicles, etc. according to the vehicle type. The classification dimension can also be the owner type, then the vehicle ownership certificate can be divided into individual ownership and enterprise ownership according to the owner type. The classification dimension can also be the issue date, then the vehicle ownership certificate can be divided into multiple categories according to the issue date, for example, one category for the same month.

[0098] For the sake of convenience of description, hereinafter, any one of the multiple classification dimensions, the target classification dimension, will be taken as an example for illustration, and the processing process of the target classification dimension will be used to represent the processing processes of other classification dimensions, that is, the process of classifying vehicle information according to any one of the classification dimensions is the same as the processing process of the target classification dimension.

[0099] S140. Query the target vehicle information corresponding to the target classification dimension among multiple vehicle information.

[0100] In a possible implementation manner, querying the target vehicle information corresponding to the target classification dimension among multiple vehicle information specifically includes: obtaining, according to a preset first correspondence, multiple target classification information corresponding to the target classification dimension among multiple pre-stored classification standard information in a preset database, where the preset first correspondence is the correspondence between the classification dimension and the pre-stored classification standard information; determining the vehicle information among the multiple vehicle information that is the same as any one of the target classification information; and setting the vehicle information among the multiple vehicle information that is the same as any one of the target classification information as the target vehicle information.

[0101] First, it is necessary to query, according to the preset first correspondence, multiple target classification information corresponding to the target classification dimension among multiple pre-stored classification standard information in the database. The preset first correspondence is the correspondence between the classification dimension and the pre-stored classification standard information. The classification dimension has been explained in detail in the above step S130. However, in this embodiment, the target classification dimension is preferably a classification dimension for text character groups, that is, the vehicle information targeted by the target classification dimension is a text character group. For example, the classification dimension can be vehicle type, because the classified information is sedan, truck, commercial vehicle, etc., rather than the issue date or engine number, and the classified information is a code character group.

[0102] The pre-stored classification standard information is the descriptive information of the preset database for the classification dimension, that is, the information about several categories that vehicle information can be divided into according to the classification dimension. For example, when the target classification dimension is vehicle type, the pre-stored classification standard information may be sedan, SUV, MPV, truck, pickup, sports car, etc. Therefore, before this, it is necessary to establish the correspondence between the classification dimension and the pre-stored classification standard information, which can be achieved by training relevant models. Since establishing the correspondence between the classification dimension and the pre-stored classification standard information is only a conventional technical means in the relevant technical field, it will not be further elaborated here.

[0103] After the server queries all the target classification information related to the target classification dimension in the preset database, it is equivalent to obtaining all the categories into which vehicle information can be divided according to the target classification dimension. Then, it only needs to retrieve the vehicle information among the multiple vehicle information obtained in step S120 that is the same as any one of the target classification information. Refer to Figure 5, even if the vehicle information in the vehicle ownership certificate is screened, there are still multiple vehicle information, and the target classification dimension only divides one of the vehicle information. After querying all the target classification information related to the target classification dimension in the preset database, retrieving the vehicle information that is the same as any one of the target classification information can find the information related to the target classification dimension in the vehicle ownership certificate. For example, when the target classification dimension is vehicle type, the pre-stored classification information may include subcompact cars, SUVs, MPVs, trucks, pickups, sports cars, etc. Figure 5 The multiple vehicle information included in Figure 5 includes subcompact cars, gasoline, black / white, customs import, steering wheel, rear axle sheet, Public Security Bureau Traffic Police Detachment (seal), purchase, non-operating. Through retrieval, the vehicle information of "subcompact car" in the multiple vehicle information is the same as the pre-stored classification information of "subcompact car" in the multiple pre-stored classification information. Finally, the server sets the vehicle information that is the same as any one of the target classification information as the target vehicle information for subsequent classification processing.

[0104] S150. According to the classification standard corresponding to the target classification dimension, determine the target group of the target vehicle information.

[0105] After determining the target vehicle information related to the target classification dimension in the multiple vehicle information, further divide the specific group according to the target vehicle information.

[0106] In a possible implementation manner, according to the classification standard corresponding to the target classification dimension, determining the target group of the target vehicle information specifically includes: according to the preset second correspondence, determine the target group information corresponding to the target group in the multiple pre-stored group information, the preset second correspondence is the correspondence between the pre-stored group information and the classification group, and the target group is any one of the multiple classification groups; if it is determined that the target vehicle information is the same as the target group information, then divide the target vehicle information into the target group corresponding to the target group information.

[0107] Among them, the pre-stored second correspondence is the correspondence between the classification group and the pre-stored group information. As mentioned in step S140, the target classification dimension may correspond to multiple target classification information. When the target classification dimension is vehicle type, the pre-stored classification information may include subcompact cars, SUVs, MPVs, trucks, pickups, sports cars, etc. However, the actual classification requirement may only be to divide all vehicle ownership certificates into subcompact car groups, SUV groups, and truck groups. Therefore, the number of multiple classification groups corresponding to the classification dimension may be different from the number of multiple pre-stored classification information corresponding to the classification dimension.

[0108] After the user determines multiple classification groups according to the classification requirements, the server searches for the pre-stored group information corresponding to each classification group according to the preset second correspondence. The pre-stored group information is the description information for the classification group pre-stored in the preset database. For example, if the multiple classification groups include: the subcompact car group, the SUV group, and the pickup truck group, then the pre-stored group information corresponding to the subcompact car group is "subcompact car", and the pre-stored group information corresponding to the SUV group is "SUV". Finally, only according to the target vehicle information, retrieve the group information that is the same as it among the multiple group information. If the target group information is the same as the target vehicle information, then the target vehicle information meets the classification criteria corresponding to the target classification dimension, and directly divide the target vehicle information into the target group corresponding to the target group information, where the target group is any one of the multiple classification groups, and the target group information is the group information corresponding to the target group among the multiple group information.

[0109] Since the vehicle information in the vehicle ownership certificate includes not only the character-type character group but also the code-type character group, the relevant content is described in detail in step S120. For the vehicle information of the code-type character group, it is not suitable to classify it through content matching. For example, for the engine number, since the engine number is the unique identifier of each engine and is used to distinguish different engines, each engine number is unique, so it is difficult to classify it according to the meaning of the engine number, and another method is needed for classification.

[0110] In a possible implementation manner, according to the target type character group, establish the correspondence between the target code-type character group and the target type label to obtain the preset third correspondence, where the target type character group is the type character group corresponding to the target code-type character group among the multiple type character groups, and the target code-type character group is any one of the multiple code-type character groups; if it is determined that the target classification dimension corresponds to the target type character group, then establish the correspondence between the target classification dimension and the target type label to obtain the preset fourth correspondence.

[0111] For facilitating computer query of the type character group corresponding to the code type character group, that is, determining the meaning represented by codes such as "WXXXJ8AXXXXX8", an embodiment of the present application discloses a type label. The type label is randomly composed of a preset number of digits and letters, stored in a preset database, and there are no two identical type labels in the preset database. The forms of the type label are, for example: A265d, 89po1, d6z3, etc., all of which are random combinations of letters and digits. It only needs to be determined that there are no two identical type labels, that is, the letter and digit contents of the two type labels are different, and the character arrangement orders of the two type labels are also different. For example, A63p56 and a63p56 are the same type label, A63p56 and A63a56 are different type numbers, and A63p56 and A63p65 are different type numbers.

[0112] One type character group corresponds to one type label. And in the present application, among the type character groups with corresponding type labels, preferably, the type character group corresponding to the code type character group is the type character group. Refer to Figure 6 , Figure 6 All are code type character groups in Figure 7 , Figure 7 The type character groups shown in

[0113] The following takes the target type character group as the type character group corresponding to the target code type character group among multiple type character groups as an example for illustration. Among them, the target code type character group is any one of multiple code type character groups, indicating that the processing methods for all type character groups corresponding to the target code type character group are the same.

[0114] Among the multiple type labels generated in the preset database, select the target type label corresponding to a target type character group, and delete it from the database after selection. Then, according to the target code type character group corresponding to the target type character group, establish the corresponding relationship between the target type label and the target code type character group to obtain the preset third corresponding relationship. For example, for the target type character group being "wheelbase", the selected target type label is "Z695J", and the code type character group corresponding to "engine number" is "1XX7 mm", then establish the preset third corresponding relationship between "Z695J" and "1XX7 mm". Through the third corresponding relationship, when the server obtains the target classification dimension as the wheelbase, it can directly find the vehicle information "1XX7 mm" through the target type label "Z695J". The specific implementation process is as follows:

[0115] For different classification dimensions, there is a corresponding relationship with different types of character groups. For example, when the classification dimension is "automobile wheelbase", the corresponding different type of character is "wheelbase". According to this corresponding relationship and combined with the third corresponding relationship, the corresponding relationship between each classification dimension and the target category label can be established to obtain the preset fourth corresponding relationship. In the above example, when the target classification dimension is "automobile wheelbase", the corresponding target different type of character is "wheelbase", and there is a preset third corresponding relationship between the target different type of character "wheelbase" and the target category label "Z695J", then the preset fourth corresponding relationship between the target classification dimension "automobile wheelbase" and the target category label "Z695J" is established.

[0116] In a possible implementation manner, according to the classification standard corresponding to the target classification dimension, the target group of the target vehicle information is determined. Specifically, it further includes: after the server obtains the classification requirement of the target classification dimension input by the user, first, according to the preset fourth corresponding relationship, it queries the target category label corresponding to the target classification dimension. Then, according to the preset third corresponding relationship, it queries the target code character group corresponding to the target category label. For example, when the target classification dimension is "automobile wheelbase", according to the preset fourth corresponding relationship, the target category label "Z695J" will be queried, and then according to the preset third corresponding relationship, the target code type character group "1XX7 mm" will be queried.

[0117] For code type character groups (vehicle information) such as "1XX7 mm", its classification standard is preferably classified according to the screening standard, that is, a code screening standard is set, and those that meet the standard are divided into one group, and those that do not meet the standard are divided into another group. For example, when the code type character group is 1XX7 mm (wheelbase), the screening standard can be that those with a wheelbase longer than the preset wheelbase are divided into one group, and those with a wheelbase equal to or shorter than the preset wheelbase are divided into another group. When the code type character group is 3XXXXXXX8 (engine number), the screening standard can be that those with the first character of the code being 3 are divided into one group.

[0118] Finally, according to the actual grouping requirements of the user, multiple classification groups required by the user are obtained. For example, the vehicle wheelbase needs to be divided into a short wheelbase group (wheelbase less than 2500 mm), a medium wheelbase group (wheelbase greater than or equal to 2500 mm and less than 2700 mm), and a long wheelbase group (wheelbase greater than 2700 mm). Then the server obtains the target screening information included in the target group, which is the information on the screening criteria for the code-type character group. For example, "wheelbase less than 2500 mm". Finally, according to the target screening information, it is determined whether the target code character group meets the screening criteria of the target screening information, so as to determine whether the vehicle information meets the classification criteria corresponding to the target classification dimension. If it is determined that the target code-type character group meets the screening criteria of the target screening information, for example, the wheelbase of the target code-type character group "2450mm" meets the screening criteria of "wheelbase less than 2500 mm", then the vehicle information of the target code-type character group is classified into the target group, and the target code-type character group is classified into the short wheelbase group.

[0119] S160, classify the target vehicle information into the target group, and file the property right certificate files according to the target group.

[0120] To facilitate the management of property right certificate files of the same category, a specific file storage location can be specified for each classification group. In a computer system, the storage location can be represented by a path or a database table name. These locations can be physical (such as a folder, a cabinet) or digital (such as a folder on a server, a database). Similarly, for the property right certificate files classified into the target group according to the target vehicle information, the property right certificate files are stored at this location according to the file storage location corresponding to the target group. At the same time, the target vehicle information in the property right certificate files is marked. The marking process can be to color the information with a special color or other types of markings. Because the target vehicle information is the basis for storing the property right certificate files at the file storage location corresponding to the target group, by marking the target vehicle information, it is convenient for users to quickly find this information later.

[0121] Classifying the target vehicle information into specific target groups and filing the property right certificate files in an orderly manner according to these groups significantly improves the organization and retrieval efficiency of vehicle file management. In this process, first find the corresponding file storage location according to the determined target group, then store the relevant property right certificate files at this location, and perform a marking process on the target vehicle information. Such an operation makes the file storage orderly and standardized, so that when it is necessary to retrieve or reference the vehicle information of a specific group, the relevant files can be quickly and accurately located.

[0122] By adopting the above technical solutions, the automated and intelligent management method solves the problem of low efficiency of traditional management methods when dealing with a large amount of data. First, through the automatic recognition of the property certificate documents, various key information of the vehicle, such as vehicle type, vehicle identification number, owner information, etc., is quickly extracted. Then, according to the predetermined target classification dimension (such as vehicle type, etc.), these information are automatically classified and sorted. This means that when specific data analysis is required, such as analyzing multiple vehicles with the vehicle type of mini cars, the vehicle information that has been classified and filed according to the vehicle type can be directly queried, instead of checking the individual files of each vehicle one by one. This greatly reduces the time and effort required for retrieval and analysis, and improves the efficiency of data management. In addition, through automatic archiving processing, the accessibility and organization of data are ensured, making the management of a large number of vehicle files more efficient and accurate.

[0123] This embodiment also discloses a vehicle file integrated management device. Referring to Figure 8 , it includes an acquisition module 801, an identification module 802, a query module 803, a classification module 804, and a management module 805, where:

[0124] The acquisition module 801 is used to acquire the property certificate document of the target vehicle.

[0125] The identification module 802 is used to identify the property certificate document to obtain multiple vehicle information.

[0126] The acquisition module 801 is used to acquire the target classification dimension, and the target classification dimension is any one of multiple classification dimensions, and the classification dimension is used to classify the vehicle information in the vehicle property certificate.

[0127] The query module 803 is used to query the target vehicle information corresponding to the target classification dimension among the multiple vehicle information.

[0128] The classification module 804 is used to determine the target group of the target vehicle information according to the classification standard corresponding to the target classification dimension.

[0129] The management module 805 is used to assign the target vehicle information to the target group and archive the property certificate document according to the target group.

[0130] In a possible implementation manner, the acquisition module 801 is used to acquire, according to a preset first correspondence, multiple target classification information corresponding to the target classification dimension among multiple pre-stored classification standard information in a preset database, and the preset first correspondence is the correspondence between the classification dimension and the pre-stored classification standard information.

[0131] The query module 803 is used to determine the vehicle information that is the same as any one of the target classification information among the multiple vehicle information.

[0132] The management module 805 is used to set the vehicle information that is the same as any target classification information among multiple vehicle information as the target vehicle information.

[0133] In a possible implementation manner, the query module 803 is used to determine the target group information corresponding to the target group among multiple pre-stored group information according to a preset second correspondence relationship. The preset second correspondence relationship is the correspondence relationship between the pre-stored group information and the classification group, and the target group is any classification group among multiple classification groups.

[0134] The classification module 804 is used to divide the target vehicle information into the target group corresponding to the target group information if it is determined that the target vehicle information is the same as the target group information.

[0135] In a possible implementation manner, the recognition module 802 is used to perform character recognition on the property certificate file to obtain the text content.

[0136] The recognition module 802 is used to recognize multiple type character groups and multiple content character groups included in the text content. The type character groups are used to describe the types of the content character groups.

[0137] The management module 805 is used to delete multiple type character groups in the text content and delete the code type character groups in multiple content character groups to obtain vehicle information. The code type character groups are character combinations including numbers or letters.

[0138] In a possible implementation manner, the classification module 804 is used to establish a correspondence relationship between the target code type character group and the target type label according to the target type character group to obtain a preset third correspondence relationship. Among them, the target type character group is the type character group corresponding to the target code type character group among multiple type character groups, and the target code type character group is any code type character group among multiple code type character groups.

[0139] The management module 805 is used to establish a correspondence relationship between the target classification dimension and the target type label according to the third correspondence relationship if it is determined that the target classification dimension corresponds to the target type character group to obtain a preset fourth correspondence relationship.

[0140] In a possible implementation manner, the query module 803 is used to determine the target type label corresponding to the target classification dimension according to the preset fourth correspondence relationship.

[0141] The query module 803 is used to determine the target code type character group corresponding to the target type label according to the preset third correspondence relationship.

[0142] An acquisition module 801, configured to acquire target screening information included in a target group, where the target screening information is information about a screening criterion for a code character group.

[0143] A management module 805, configured to, according to the target screening information, if it is determined that a target code character group meets the screening criterion of the target screening information, classify the vehicle information of the target code character group into the target group.

[0144] In a possible implementation manner, the acquisition module 801 is configured to acquire a file storage location corresponding to the target group.

[0145] The management module 805 is configured to store the property right certificate file to the file storage location and perform a marking process on the target vehicle information.

[0146] It should be noted that: when the device provided in the above embodiment realizes its functions, only the above division of each functional module is used for illustration. In actual application, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process can be seen in the method embodiment, which will not be elaborated here.

[0147] This embodiment also discloses an electronic device. Referring to Figure 9 , the electronic device may include: at least one processor 901, at least one communication bus 902, a user interface 903, a network interface 904, and at least one memory 905.

[0148] Among them, the communication bus 902 is used to implement connection communication between these components.

[0149] Among them, the user interface 903 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 903 may further include a standard wired interface and a wireless interface.

[0150] Among them, the network interface 904 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0151] Among them, the processor 901 may include one or more processing cores. The processor 901 connects various parts within the entire server through various interfaces and lines, and executes various functions of the server and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 905, and by calling the data stored in the memory 905. Optionally, the processor 901 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 901 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), a modem, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communication. It can be understood that the above-mentioned modem may not be integrated into the processor 901 and may be implemented separately by a single chip.

[0152] Among them, the memory 905 may include a random access memory (RAM), or may also include a read-only memory (ROM). Optionally, the memory 905 includes a non-transitory computer-readable storage medium. The memory 905 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 905 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store the data involved in the above-mentioned various method embodiments. Optionally, the memory 905 may also be at least one storage device located far from the aforementioned processor 901. As shown in the figure, the memory 905, as a computer storage medium, may include an operating system, a network communication module, a user interface 903 module, and an application program for a vehicle file integration management method.

[0153] In Figure 9In the electronic device shown, the user interface 903 is mainly used to provide an interface for the user to input data and obtain the data input by the user; while the processor 901 can be used to call the application program for a vehicle file integrated management method stored in the memory 905. When executed by one or more processors 901, the electronic device is caused to execute the method as described in one or more of the above embodiments.

[0154] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0155] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0156] In the several embodiments provided by this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some service interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical or other form.

[0157] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0158] In addition, in each embodiment of this application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0159] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory 905. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory 905 and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. And the aforementioned memory 905 includes: various media such as USB flash drives, mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0160] The foregoing are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, all equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. Those skilled in the art will readily think of other embodiments of the present disclosure after considering the specification and the disclosure of the practical truth. The present application aims to cover any variations, uses, or adaptive changes of the present disclosure, and these variations, uses, or adaptive changes follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for integrated management of vehicle files, characterized in that The method includes: Obtain the vehicle ownership certificate file of the target vehicle; Identify the vehicle ownership certificate file to obtain multiple vehicle information; Obtain a target classification dimension, where the target classification dimension is any one of multiple classification dimensions, and the classification dimension is used to classify the vehicle information in the vehicle ownership certificate; Query the target vehicle information corresponding to the target classification dimension among the multiple vehicle information; Determine the target group of the target vehicle information according to the classification standard corresponding to the target classification dimension; Classify the target vehicle information into the target group and file the vehicle ownership certificate file according to the target group; Before querying the target vehicle information corresponding to the target classification dimension among the multiple vehicle information, the method includes: Establish a correspondence between the target code type character group and the target type label according to the target type character group to obtain a preset third correspondence, where the target type character group is the type character group corresponding to the target code type character group among the multiple type character groups, and the target code type character group is any one of the multiple code type character groups; If it is determined that the target classification dimension corresponds to the target type character group, then establish a correspondence between the target classification dimension and the target type label according to the third correspondence to obtain a preset fourth correspondence.

2. The vehicle file integrated management method according to claim 1, wherein The querying of the target vehicle information corresponding to the target classification dimension among the multiple vehicle information specifically includes: According to the preset first correspondence, obtain multiple target classification information corresponding to the target classification dimension in the multiple pre-stored classification standard information in the preset database, where the preset first correspondence is the correspondence between the classification dimension and the pre-stored classification standard information; Determine the vehicle information that is the same as any one of the target classification information among the multiple vehicle information; Set the vehicle information that is the same as any one of the target classification information among the multiple vehicle information as the target vehicle information.

3. The vehicle file integrated management method according to claim 2, wherein The determining of the target group of the target vehicle information according to the classification standard corresponding to the target classification dimension specifically includes: According to the preset second correspondence, determine the target group information corresponding to the target group among the multiple pre-stored group information, where the preset second correspondence is the correspondence between the pre-stored group information and the classification group, and the target group is any one of the multiple classification groups; If it is determined that the target vehicle information is the same as the target group information, then classify the target vehicle information into the target group corresponding to the target group information.

4. A vehicle file integrated management method according to claim 1, characterized in that, The identifying of the vehicle ownership certificate file to obtain multiple vehicle information specifically includes: Perform character recognition on the vehicle ownership certificate file to obtain text content; Identify multiple type character groups and multiple content type character groups included in the text content, where the type character groups are used to describe the types of the content type character groups; Delete the multiple types of character groups in the text content, and delete the code-type character groups in the multiple content-type character groups to obtain the vehicle information. The code-type character group is a character combination containing numbers or letters.

5. A vehicle file integrated management method according to claim 1, characterized in that, Determining the target group of the target vehicle information according to the classification criteria corresponding to the target classification dimension specifically further includes: Determining the target type label corresponding to the target classification dimension according to the preset fourth correspondence; Determining the target code-type character group corresponding to the target type label according to the preset third correspondence; Obtaining the target screening information included in the target group. The target screening information is information on the screening criteria for the code-type character group; According to the target screening information, if it is determined that the target code-type character group meets the screening criteria of the target screening information, then classify the vehicle information of this target code-type character group into the target group.

6. The vehicle file integrated management method according to claim 1, characterized in that Classifying the target vehicle information into the target group and archiving the property certificate file according to the target group specifically includes: Obtaining the file storage location corresponding to the target group; Storing the property certificate file at the file storage location and performing a marking process on the target vehicle information.

7. A vehicle file integrated management device, characterized in that, Including an acquisition module (801), an identification module (802), a query module (803), a classification module (804), and a management module (805), where: The acquisition module (801) is used to acquire the property certificate file of the target vehicle; The identification module (802) is used to identify the property certificate file to obtain multiple vehicle information; The acquisition module (801) is used to acquire a target classification dimension. The target classification dimension is any one of multiple classification dimensions, and the classification dimension is used to classify the vehicle information in the vehicle property certificate; The query module (803) is used to query the target vehicle information corresponding to the target classification dimension among the multiple vehicle information; The classification module (804) is used to determine the target group of the target vehicle information according to the classification criteria corresponding to the target classification dimension; The management module (805) is used to classify the target vehicle information into the target group and archive the property certificate file according to the target group; The classification module (804) is used to establish a correspondence between the target code-type character group and the target type label according to the target type of character group to obtain a preset third correspondence. Among them, the target type of character group is the type of character group corresponding to the target code-type character group among the multiple types of character groups, and the target code-type character group is any one of the multiple code-type character groups; The management module (805) is used to, if it is determined that the target classification dimension corresponds to the target type of character group, then establish a correspondence between the target classification dimension and the target type label according to the third correspondence to obtain a preset fourth correspondence.

8. An electronic device, characterized in that, It includes a processor (901), a memory (905), a user interface (903) and a network interface (904). The memory (905) is used to store instructions. Both the user interface (903) and the network interface (904) are used to communicate with other devices. The processor (901) is used to execute the instructions stored in the memory (905) so that the electronic device executes the method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions which, when executed, execute the method according to any one of claims 1-6.

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