A method, apparatus, equipment, and storage medium for constructing a profile of a vehicle repair shop.

Abstract

The application discloses a vehicle repair factory portrait construction method and device, equipment and a storage medium, and relates to the field of vehicle data processing. The method comprises the following steps: acquiring diagnosis information corresponding to a vehicle, vehicle basic information and repair factory basic information based on a vehicle diagnostic instrument, and triggering corresponding cloud database storage operation; processing the diagnosis information, the vehicle basic information and the repair factory basic information saved in the cloud database to obtain processed data; performing repair factory maintenance vehicle type analysis, regional ranking analysis and cumulative maintenance vehicle number analysis respectively by using the processed data to obtain analysis results corresponding to each repair factory; generating labels based on preset portrait construction rules and the analysis results corresponding to each repair factory, and performing portrait construction by using the obtained label information to determine the current repair factory portrait. The vehicle diagnostic instrument can be effectively used to accurately construct the vehicle repair factory portrait.

Description

Technical Field

[0001] This invention relates to the field of vehicle data processing, and in particular to a method, apparatus, equipment, and storage medium for constructing a profile of a vehicle repair shop. Background Technology

[0002] Currently, to create a profile of vehicle repair shops and intuitively showcase their technical capabilities and repair experience, existing implementation plans primarily rely on manual methods such as questionnaires and data entry to collect information. However, manual data collection makes it difficult to ensure that all relevant information is completely recorded. Therefore, some key information may be overlooked or omitted, resulting in incomplete and inaccurate data. This directly and negatively impacts the accuracy and reliability of subsequent analyses. Summary of the Invention

[0003] In view of this, the purpose of this invention is to provide a method, apparatus, equipment, and storage medium for constructing a vehicle repair shop profile, which can effectively utilize vehicle diagnostic tools to accurately construct a vehicle repair shop profile, thereby intuitively, accurately, and reliably showcasing the repair shop's technical capabilities and repair experience, providing strong support for the development of repair shops. The specific solution is as follows:

[0004] Firstly, this application provides a method for constructing a profile of a vehicle repair shop, including:

[0005] Based on the vehicle diagnostic tool, the diagnostic information, basic vehicle information and basic repair shop information corresponding to the vehicle are obtained, and the corresponding cloud database storage operation is triggered.

[0006] The diagnostic information, vehicle basic information, and repair shop basic information already stored in the cloud database are processed to obtain processed data;

[0007] The processed data is used to perform vehicle model repair analysis, regional ranking analysis, and cumulative number of repaired vehicles analysis for each repair shop, so as to obtain analysis results corresponding to each repair shop.

[0008] Based on the preset profile construction rules and the analysis results corresponding to each of the repair shops, tags are generated, and the obtained tag information is used to construct a profile to determine the current repair shop profile.

[0009] Optionally, the step of acquiring vehicle-specific diagnostic information, basic vehicle information, and basic repair shop information based on the vehicle diagnostic tool includes:

[0010] The vehicle diagnostic tool and the vehicle's onboard automatic diagnostic system interface are used to read basic vehicle information, including vehicle model and vehicle identification number (VIN).

[0011] The vehicle diagnostic tool's repair shop basic information input interface is used to obtain the vehicle's repair shop basic information; the repair shop basic information includes the repair shop name, repair shop contact information, and repair shop address.

[0012] Optionally, triggering the corresponding cloud database storage operation includes:

[0013] The diagnostic information corresponding to the vehicle, the basic information of the vehicle, and the basic information of the repair shop are uploaded and associated with the storage in a cloud database located on a cloud server.

[0014] Optionally, the processing of the diagnostic information, vehicle basic information, and repair shop basic information already stored in the cloud database includes:

[0015] The diagnostic information, vehicle basic information, and repair shop basic information already stored in the cloud database are processed to identify and delete duplicate and abnormal data in order to complete the corresponding data processing operations and obtain the processed data.

[0016] Optionally, the step of using the processed data to perform repair shop vehicle model analysis, regional ranking analysis, and cumulative repair vehicle count analysis includes:

[0017] By analyzing the processed data, the types of vehicles that each repair shop can repair and the number of vehicles corresponding to each type of vehicle are determined. Based on the number of vehicles corresponding to each type of vehicle, the repair shops are sorted to determine the target models that each repair shop is good at.

[0018] Based on the preset regional delineation information, the types of vehicle models that each repair shop repairs, and the number of vehicles corresponding to each type of vehicle repair, the repair shops are sorted by vehicle model and vehicle number as indicators to determine the regional ranking information of each repair shop.

[0019] The cumulative number of vehicles repaired by each repair shop is determined by analyzing the processed data.

[0020] Optionally, the step of generating tags based on preset profile construction rules and the analysis results corresponding to each of the repair shops, and using the obtained tag information to construct profiles, includes:

[0021] Tags are generated based on the analysis results corresponding to each of the aforementioned repair shops to obtain tag information for each repair shop; the tag information includes repair shop address tag, vehicle type specialty tag, cumulative number of vehicles repaired tag, and regional ranking tag;

[0022] A profile is constructed using a list format and the tag information of each repair shop to determine the current repair shop profile.

[0023] Optionally, the method further includes:

[0024] Based on the pre-configured update time information, the system jumps back to the step of obtaining the diagnostic information, basic vehicle information, and basic repair shop information corresponding to the vehicle based on the vehicle diagnostic tool, in order to complete the corresponding profile update operation and obtain the updated current repair shop profile.

[0025] Secondly, this application provides a vehicle repair shop profile construction device, comprising:

[0026] The information acquisition module is used to acquire diagnostic information, basic vehicle information, and basic repair shop information corresponding to the vehicle based on the vehicle diagnostic tool, and to trigger corresponding cloud database storage operations.

[0027] The data processing module is used to process the diagnostic information, vehicle basic information and repair shop basic information stored in the cloud database to obtain processed data.

[0028] The data analysis module is used to perform repair shop vehicle model analysis, regional ranking analysis, and cumulative repair vehicle count analysis using the processed data, so as to obtain analysis results corresponding to each repair shop.

[0029] The profile building module is used to generate tags based on preset profile building rules and the analysis results corresponding to each of the repair shops, and to build profiles using the obtained tag information to determine the current repair shop profile.

[0030] Thirdly, this application provides an electronic device, comprising:

[0031] Memory, used to store computer programs;

[0032] A processor is used to execute the computer program to implement the steps of the aforementioned vehicle repair shop profile construction method.

[0033] Fourthly, this application provides a computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the steps of the aforementioned vehicle repair shop profile construction method.

[0034] As can be seen, in this application, diagnostic information, basic vehicle information, and basic repair shop information corresponding to the vehicle are obtained based on a vehicle diagnostic tool, and corresponding cloud database storage operations are triggered. The diagnostic information, basic vehicle information, and basic repair shop information already stored in the cloud database are processed to obtain processed data. The processed data is used to perform repair shop vehicle model analysis, regional ranking analysis, and cumulative repair vehicle count analysis to obtain analysis results corresponding to each repair shop. Based on preset profile construction rules and the analysis results corresponding to each repair shop, tags are generated, and the obtained tag information is used to construct a profile to determine the current repair shop profile. That is, this application first uses a vehicle diagnostic tool to obtain vehicle diagnostic information, basic vehicle information, and basic repair shop information, then uses the above information to perform repair shop vehicle model analysis, regional ranking analysis, and cumulative repair vehicle count analysis, and uses the analysis results of each repair shop to generate tags to determine the current repair shop profile. In this way, the vehicle diagnostic tool can be effectively used to accurately construct a vehicle repair shop profile, thereby intuitively, accurately, and reliably demonstrating the repair shop's technical strength and repair experience, providing strong support for the development of repair shops. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0036] Figure 1 A flowchart of a method for constructing a profile of a vehicle repair shop is provided in this application;

[0037] Figure 2 A schematic diagram of a repair shop provided in this application;

[0038] Figure 3 A schematic diagram of a vehicle repair shop portrait construction device provided in this application;

[0039] Figure 4 This application provides a structural diagram of an electronic device. Detailed Implementation

[0040] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] Currently, existing solutions for constructing vehicle repair shop profiles to visually showcase their technical capabilities and repair experience primarily rely on manual methods such as questionnaires and data entry to collect information. However, manual data collection makes it difficult to ensure complete recording of all relevant information. Consequently, some crucial information may be overlooked or omitted, resulting in incomplete and inaccurate data that negatively impacts the accuracy and reliability of subsequent analyses. Therefore, this application provides a vehicle repair shop profile construction scheme that effectively utilizes vehicle diagnostic tools to accurately construct vehicle repair shop profiles. This allows for a visually, accurately, and reliably showcasing the repair shop's technical capabilities and repair experience, providing strong support for the development of repair shops.

[0042] See Figure 1 As shown in the figure, an embodiment of the present invention discloses a method for constructing a vehicle repair shop profile, including:

[0043] Step S11: Obtain the diagnostic information, basic vehicle information, and basic repair shop information corresponding to the vehicle based on the vehicle diagnostic tool, and trigger the corresponding cloud database storage operation.

[0044] Specifically, in this embodiment, the data to be processed is first acquired. That is, basic vehicle information is read using the vehicle diagnostic tool and the vehicle's on-board diagnostic system (OBD) interface; this basic information includes the vehicle model and VIN. The vehicle diagnostic tool's repair shop basic information input interface is then used to obtain the repair shop's basic information, including the repair shop name, contact information, and address. In other words, repair shop personnel can use the vehicle diagnostic tool to read basic vehicle information, including the vehicle model and VIN, through the vehicle's OBD interface. Simultaneously, the vehicle diagnostic tool also provides a repair shop basic information input module, including the repair shop name and contact information, and retrieves the repair shop's location.

[0045] Subsequently, the corresponding cloud database storage operation is triggered, which involves uploading and storing the vehicle-related diagnostic information, basic vehicle information, and basic repair shop information to the cloud database located on the cloud server. In other words, in this embodiment, diagnostic data and basic repair shop information are uploaded to the cloud server in real time, including vehicle information (model, VIN) and basic repair shop information, to the cloud platform. The diagnostic data and basic repair shop information are then stored together in the same cloud database.

[0046] Step S12: Process the diagnostic information, vehicle basic information, and repair shop basic information stored in the cloud database to obtain processed data.

[0047] In this embodiment, after acquiring the data, it needs to be processed to ensure the smooth operation of subsequent steps. Specifically, the diagnostic information, basic vehicle information, and basic repair shop information already stored in the cloud database are processed to identify and delete duplicate and abnormal data, thus completing the corresponding data processing operations and obtaining the processed data. In other words, this embodiment removes duplicate data records (VINs are unique; the same VIN record represents only one vehicle) and abnormal data (incorrect repair shop location information, incorrect repair shop information) from the cloud database.

[0048] Step S13: Using the processed data, perform repair shop vehicle model analysis, regional ranking analysis, and cumulative repair vehicle count analysis to obtain analysis results corresponding to each repair shop.

[0049] In this embodiment, after data processing, key indicator analysis will be performed. Specifically, the types of vehicle models each repair shop can repair, and the number of vehicles corresponding to each repair type, will be determined by analyzing the processed data. Based on the number of vehicles corresponding to each repair type, the repair shops will be ranked to determine their target vehicle models of expertise. Furthermore, based on preset regional delineation information, the types of vehicle models each repair shop can repair, and the number of vehicles corresponding to each repair type, the repair shops will be ranked by vehicle model and vehicle number respectively to determine their regional ranking. Finally, the cumulative number of vehicles repaired by each repair shop will be determined by analyzing the processed data. In other words, this embodiment analyzes the repair shops' areas of expertise in vehicle models, their regional ranking, and their cumulative number of vehicles repaired.

[0050] It's important to understand that regarding the analysis of preferred vehicle models, for each repair shop, information on all repairable vehicle models is obtained based on accumulated diagnostic data. The number of vehicles repaired for each model at each repair shop is then tallied, and the top five models in terms of repair volume are identified as the repair shop's preferred models. Furthermore, a real-time analysis module can be designed to dynamically update the ranking of preferred models based on new data.

[0051] Meanwhile, regarding regional ranking analysis, this involves comparing each repair shop in a specific area of ​​a city, statistically analyzing the vehicle models with diagnostic records and the corresponding number of vehicles repaired, sorting them by "vehicle model" and "corresponding number of vehicles repaired," and comparing each repair shop's performance in terms of repair volume for the same vehicle model. This generates a list of the top 10 vehicle repair shops in that city and area based on the number of vehicles repaired for each vehicle model over the past year.

[0052] In addition, regarding the analysis of the cumulative number of vehicles repaired, statistics were compiled on the cumulative number of vehicles repaired by each repair shop, as well as the number of vehicles of the model with the highest number of repairs.

[0053] Step S14: Generate tags based on preset profile construction rules and the analysis results corresponding to each of the repair shops, and use the obtained tag information to construct a profile to determine the current repair shop profile.

[0054] As is understandable, this embodiment, after completing the key indicator analysis, constructs a repair shop profile based on the obtained analysis results, displaying it in an intuitive and easy-to-understand list format, including address tags, specialized vehicle type tags, cumulative number of vehicles repaired tags, regional ranking tags, and tags for the most repaired vehicles. That is, tags are generated based on the analysis results corresponding to each repair shop to obtain the tag information for each repair shop; the tag information includes repair shop address tags, specialized vehicle type tags, cumulative number of vehicles repaired tags, and regional ranking tags; a profile is constructed using a list format and the tag information of each repair shop to determine the current repair shop profile. See details in [link to documentation]. Figure 2 The image shown is a schematic diagram of a repair shop.

[0055] It is also important to understand that this embodiment includes a timed profile update function, which automatically updates the profile content as diagnostic data and repair shop basic information are updated. That is, based on pre-configured update time information, the system redirects to the steps of obtaining vehicle-specific diagnostic information, vehicle basic information, and repair shop basic information from the vehicle diagnostic tool to complete the corresponding profile update operation and obtain the updated current repair shop profile.

[0056] In summary, this embodiment, based on big data and vehicle diagnostic technologies, deeply mines and analyzes the accumulated diagnostic data generated by vehicle diagnostic tools used by vehicle repair shops. It focuses on key indicators such as specialized vehicle models, regional ranking, cumulative number of vehicles repaired, and the number of vehicles with the highest repair volume, accurately constructing a profile of the vehicle repair shop. This visually showcases the repair shop's technical capabilities and repair experience, providing strong support for the shop's development and offering car owners a reference for choosing high-quality services.

[0057] Therefore, in this embodiment, the vehicle diagnostic tool acquires vehicle-specific diagnostic information, basic vehicle information, and repair shop information, triggering corresponding cloud database storage operations. The stored diagnostic information, vehicle information, and repair shop information in the cloud database are processed to obtain processed data. This processed data is then used to analyze the repair shop's vehicle model repair history, regional ranking, and cumulative number of repaired vehicles, yielding analysis results for each repair shop. Tags are generated based on preset profile construction rules and the analysis results for each repair shop, and the obtained tag information is used to construct a profile to determine the current repair shop profile. In other words, this application first uses a vehicle diagnostic tool to acquire vehicle diagnostic information, basic vehicle information, and repair shop information. Then, it uses this information to perform vehicle model repair history analysis, regional ranking analysis, and cumulative number of repaired vehicles analysis, and uses the analysis results for each repair shop to generate tags to determine the current repair shop profile. This effectively utilizes the vehicle diagnostic tool to accurately construct a vehicle repair shop profile, thereby providing a direct, accurate, and reliable demonstration of the repair shop's technical capabilities and repair experience, offering strong support for the repair shop's development.

[0058] See Figure 3 As shown in the figure, this application also discloses a vehicle repair shop profile construction device, including:

[0059] The information acquisition module 11 is used to acquire diagnostic information, basic vehicle information and basic repair shop information corresponding to the vehicle based on the vehicle diagnostic instrument, and trigger the corresponding cloud database storage operation.

[0060] Data processing module 12 is used to process the diagnostic information, vehicle basic information and repair shop basic information stored in the cloud database to obtain processed data;

[0061] Data analysis module 13 is used to perform repair shop vehicle model analysis, regional ranking analysis, and cumulative repair vehicle count analysis using the processed data, so as to obtain analysis results corresponding to each repair shop.

[0062] The profile building module 14 is used to generate tags based on preset profile building rules and the analysis results corresponding to each of the repair shops, and to build a profile using the obtained tag information to determine the current repair shop profile.

[0063] For more detailed information on the working process of each of the above modules, please refer to the relevant content disclosed in the foregoing embodiments, which will not be repeated here.

[0064] Therefore, this embodiment uses a vehicle diagnostic tool to obtain diagnostic information, basic vehicle information, and basic repair shop information corresponding to the vehicle, and triggers corresponding cloud database storage operations. The diagnostic information, basic vehicle information, and basic repair shop information already stored in the cloud database are processed to obtain processed data. The processed data is then used to perform repair shop vehicle model analysis, regional ranking analysis, and cumulative repair vehicle count analysis to obtain analysis results corresponding to each repair shop. Based on preset profile construction rules and the analysis results corresponding to each repair shop, tags are generated, and the obtained tag information is used to construct a profile to determine the current repair shop profile. In other words, this application first uses a vehicle diagnostic tool to obtain vehicle diagnostic information, basic vehicle information, and basic repair shop information. Then, it uses the above information to perform repair shop vehicle model analysis, regional ranking analysis, and cumulative repair vehicle count analysis, and uses the analysis results of each repair shop to generate tags to determine the current repair shop profile. This effectively utilizes a vehicle diagnostic tool to accurately construct a vehicle repair shop profile, thereby intuitively, accurately, and reliably showcasing the repair shop's technical capabilities and repair experience, providing strong support for the development of repair shops.

[0065] In some specific embodiments, the information acquisition module 11 can be used to read basic vehicle information based on the vehicle diagnostic tool and the vehicle's on-board automatic diagnostic system interface; the basic vehicle information includes vehicle model and chassis number; and to obtain the vehicle's basic repair shop information using the repair shop basic information input interface of the vehicle diagnostic tool; the basic repair shop information includes repair shop name, repair shop contact information and repair shop address.

[0066] In some specific embodiments, the information acquisition module 11 can be used to upload and associate the diagnostic information, the vehicle basic information, and the repair shop basic information corresponding to the vehicle to a cloud database located on a cloud server.

[0067] In some specific embodiments, the data processing module 12 can be used to process the diagnostic information, vehicle basic information and repair shop basic information already stored in the cloud database to identify and delete duplicate and abnormal data, so as to complete the corresponding data processing operations and obtain the processed data.

[0068] In some specific embodiments, the data analysis module 13 can be used to determine the types of vehicle models that each repair shop can repair and the number of vehicles corresponding to each type of vehicle by analyzing the processed data, and sort them based on the number of vehicles corresponding to each type of vehicle to determine the target vehicle models that each repair shop is good at; sort them based on preset area delineation information, the types of vehicle models that each repair shop can repair, and the number of vehicles corresponding to each type of vehicle by vehicle model and vehicle number respectively, to determine the regional ranking information of each repair shop; and determine the cumulative number of vehicles repaired by each repair shop by analyzing the processed data.

[0069] In some specific embodiments, the profile building module 14 can be used to generate tags based on the analysis results corresponding to each of the repair shops, so as to obtain the tag information of each repair shop; the tag information includes repair shop address tags, vehicle type tags, cumulative number of vehicles repaired tags, and regional ranking tags; a profile is built by using a list and the tag information of each repair shop to determine the current repair shop profile.

[0070] In some specific embodiments, the vehicle repair shop profile building device can also be used to jump back to the step of obtaining the diagnostic information, basic vehicle information and basic repair shop information corresponding to the vehicle based on the vehicle diagnostic instrument, based on the pre-configured update time information, so as to complete the corresponding profile update operation and obtain the updated current repair shop profile.

[0071] Furthermore, embodiments of this application also disclose an electronic device, Figure 4 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application.

[0072] Figure 4 This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of this application. Specifically, the electronic device 20 may include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the vehicle repair shop profile construction method disclosed in any of the foregoing embodiments. Alternatively, the electronic device 20 in this embodiment may specifically be a computer.

[0073] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0074] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon can include operating system 221, computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0075] The operating system 221 is used to manage and control the various hardware devices on the electronic device 20 and the computer program 222, which may be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of performing the vehicle repair shop profile construction method executed by the electronic device 20 as disclosed in any of the foregoing embodiments, the computer program 222 may further include computer programs capable of performing other specific tasks.

[0076] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned method for constructing a vehicle repair shop profile. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0077] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0078] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0079] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0080] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0081] The technical solutions provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A vehicle repair shop image construction method characterized by comprising: The method comprises the following steps: acquiring diagnosis information, vehicle basic information and repair factory basic information corresponding to a vehicle based on a vehicle diagnostic instrument, and triggering corresponding cloud database storage operations; processing the diagnosis information, vehicle basic information and repair factory basic information saved in the cloud database to obtain processed data; using the processed data to respectively perform repair factory vehicle type analysis, regional ranking analysis and cumulative repair vehicle number analysis to obtain analysis results corresponding to each repair factory; generating labels based on preset image construction rules and the analysis results corresponding to each repair factory, and constructing an image using the obtained label information to determine a current repair factory image.

2. The vehicle service facility image construction method according to claim 1, characterized by, The method comprises the following steps: reading vehicle basic information based on a vehicle diagnostic instrument and a vehicle on-board automatic diagnostic system interface; the vehicle basic information includes vehicle type and vehicle frame number; acquiring repair factory basic information of the vehicle using a repair factory basic information input interface of the vehicle diagnostic instrument; the repair factory basic information includes repair factory name, repair factory contact information and repair factory address.

3. The vehicle service facility image construction method according to claim 1, characterized by, The method comprises the following steps: uploading and associating the diagnosis information, vehicle basic information and repair factory basic information corresponding to the vehicle to the cloud database in the cloud server for storage.

4. The vehicle service facility image construction method according to Claim 1, characterized by, The method comprises the following steps: processing the diagnosis information, vehicle basic information and repair factory basic information saved in the cloud database to identify and delete repeated data and abnormal data, thereby completing corresponding data processing operations and obtaining processed data.

5. The vehicle service facility image construction method according to Claim 1, characterized by, The method comprises the following steps: determining the types of repair vehicles and the number of vehicles corresponding to each repair vehicle type for each repair factory by analyzing the processed data, and sorting the number of vehicles corresponding to each repair vehicle type to determine the target vehicle type that each repair factory is good at; sorting each repair factory based on preset regional division information, the types of repair vehicles and the number of vehicles corresponding to each repair vehicle type, taking vehicle type and vehicle number as indexes to determine regional ranking information of each repair factory; determining the cumulative number of repair vehicles for each repair factory by analyzing the processed data.

6. The vehicle service facility image construction method according to Claim 1, characterized by, The method comprises the following steps: generating labels based on the analysis results corresponding to each repair factory to obtain label information of each repair factory; the label information includes repair factory address label, vehicle type that the repair factory is good at label, cumulative repair vehicle number label and regional ranking label; The current repair shop image is determined by using a list form and generating images respectively based on the tag information of each repair shop.

7. The vehicle service facility image construction method according to any one of claims 1 to 6, characterized by, Also includes: Based on the pre-configured update time information, the step of jumping back to obtaining the diagnostic information corresponding to the vehicle, the basic information of the vehicle and the basic information of the repair shop based on the vehicle diagnostic instrument is performed to complete the corresponding image update operation and obtain the updated current repair shop image.

8. A vehicle repair shop image construction apparatus characterized by comprising: Includes: An information acquisition module is configured to obtain diagnostic information corresponding to a vehicle, basic information of the vehicle and basic information of a repair shop based on a vehicle diagnostic instrument, and trigger corresponding cloud database storage operations; A data processing module is configured to process the diagnostic information, the basic information of the vehicle and the basic information of the repair shop already saved in the cloud database to obtain processed data; A data analysis module is configured to use the processed data to respectively analyze the repair vehicle types, regional rankings and cumulative repair vehicle numbers of repair shops to obtain analysis results corresponding to each repair shop; An image construction module is configured to generate tags based on preset image construction rules and the analysis results corresponding to each repair shop, and use the obtained tag information to construct images to determine a current repair shop image.

9. An electronic device, comprising: Includes: A memory is configured to save a computer program; A processor is configured to execute the computer program to implement the vehicle repair shop image construction method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, A computer program is configured to be executed by a processor to implement the vehicle repair shop image construction method according to any one of claims 1 to 7.

Images