Vehicle maintenance service method and device, computer equipment and readable storage medium
By obtaining vehicle operating status and service station resource information, using the service strategy evaluation model to generate maintenance strategies, push maintenance prompts and make appointments for services, it solves the problem that users find it difficult for them to actively obtain timely and standardized maintenance services, and achieves efficient and standardized maintenance services.
Patent Information
- Application Number
- CN202411800542.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-03-14
AI Technical Summary
In the prior art, it is difficult for users to actively obtain timely and standardized vehicle maintenance services, especially due to users' lack of professional knowledge on vehicles, which often leads to untimely or irregular maintenance services.
By obtaining the operating status information of the target vehicle and the resource service information of the candidate service station, using the pre-constructed service strategy evaluation model, the target maintenance strategy, including information such as fault level, maintenance project and pre-selected service station, and push maintenance prompt information to vehicle users, actively generate maintenance service appointments.
It has achieved active provision of maintenance services to users, improved the timeliness and standardization of maintenance services, improved the user experience, and effectively reduced the risk of failure during vehicle transportation.
Smart Images

Figure CN119624432A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of vehicle technology, and in particular to a vehicle maintenance service method, device, computer equipment and readable storage medium. Background Art
[0002] Vehicle maintenance means vehicle care and servicing. Vehicle maintenance and servicing is a general term for vehicle maintenance and repair. It means using technical means to troubleshoot faulty vehicles, find out the causes of the faults, and take certain measures to eliminate the faults and restore them, so as to achieve certain performance and safety standards.
[0003] In the related art, generally when a vehicle has an accident and needs to be repaired or reaches a preset maintenance mileage, the user actively moves the vehicle to a corresponding repair shop for repair or maintenance. This method mainly relies on the user to judge when to maintain the vehicle and the maintenance items. Due to the user's lack of professional knowledge related to the vehicle, it is often difficult for the user to enjoy timely and standardized maintenance services through this method. There is currently a lack of a method that can actively provide maintenance services to users. Summary of the invention
[0004] Based on this, it is necessary to provide a vehicle maintenance service method, device, computer equipment and readable storage medium that can actively provide maintenance services to users in response to the above technical problems.
[0005] In a first aspect, the present application provides a vehicle maintenance service method, the method comprising:
[0006] Acquire the running status information of the target vehicle and the resource service information of at least one candidate service station, wherein the candidate service station is a service station on the driving route of the target vehicle;
[0007] Acquire a target maintenance strategy for the target vehicle according to the operating status information, the resource service information and a pre-built service strategy evaluation model;
[0008] Determine whether the target maintenance strategy meets the preset conditions and obtain the determination result;
[0009] When the judgment result is that the target maintenance strategy satisfies the preset conditions, maintenance reminder information is pushed to the target vehicle according to the target maintenance strategy, and when a maintenance instruction is received from the target vehicle, a maintenance service is reserved for the target service station among at least one candidate service station according to the target maintenance strategy.
[0010] In one embodiment, the service strategy evaluation model includes a rule model, a collaborative filtering model and a weighted hybrid model; the target maintenance strategy of the target vehicle is obtained according to the operating status information, the resource service information and the pre-built service strategy evaluation model, including:
[0011] Acquire a first maintenance strategy for the target vehicle according to the operating status information, the resource service information and the rule model;
[0012] Acquire a second maintenance strategy for the target vehicle according to the operating status information, a pre-stored reference vehicle information library and the collaborative filtering model;
[0013] A target maintenance strategy for the target vehicle is acquired according to the first maintenance strategy, the maintenance strategy and the weighted hybrid model.
[0014] In one embodiment, acquiring the second maintenance strategy of the target vehicle according to the operating status information, a pre-stored reference vehicle information library and the collaborative filtering model includes:
[0015] According to the running status information of the target vehicle, the reference vehicle information library and the collaborative filtering model, a preset number of target reference vehicles are screened out from the reference vehicle information library; wherein the reference vehicle information library includes the historical running status information of each of the reference vehicles, and the similarity between the historical running status information of the target reference vehicle and the running status information of the target vehicle is higher than the similarity between the historical running status information of other reference vehicles in the reference vehicle information library and the running status information of the target vehicle;
[0016] Obtaining the historical maintenance strategy of each of the target reference vehicles;
[0017] The historical maintenance strategy of each of the target reference vehicles is used as the second maintenance strategy.
[0018] In one embodiment, the target maintenance strategy includes a fault level of the target vehicle, and the fault level includes a primary fault and a secondary fault; and judging whether the target maintenance strategy satisfies a preset condition includes:
[0019] When the fault level is a level one fault, determining that the target maintenance strategy meets a preset condition;
[0020] When the fault level is a level 2 fault, it is determined that the target maintenance strategy does not satisfy a preset condition.
[0021] In one embodiment, the method further comprises:
[0022] When the fault level is a level 2 fault, target maintenance guidance information is pushed to the target vehicle according to the target maintenance strategy.
[0023] In one embodiment, the pushing target maintenance guidance information to the target vehicle according to the target maintenance strategy includes:
[0024] Searching for target maintenance guidance information in a preset maintenance guidance information database according to the target maintenance strategy;
[0025] Pushing the target maintenance guidance information to the target vehicle.
[0026] In one embodiment, the method further comprises:
[0027] After the target service station completes the maintenance service for the target vehicle, receiving service evaluation information fed back by the target vehicle;
[0028] The service strategy evaluation model is iteratively trained according to the service evaluation information.
[0029] In a second aspect, the present application provides a vehicle maintenance service device, the device comprising:
[0030] A first acquisition module is used to acquire the running status information of the target vehicle and the resource service information of at least one candidate service station, wherein the candidate service station is a service station on the driving route of the target vehicle;
[0031] A second acquisition module is used to acquire a target maintenance strategy for the target vehicle according to the operating status information, the resource service information and a pre-built service strategy evaluation model;
[0032] The third acquisition module is used to determine whether the target maintenance strategy meets the preset conditions and obtain the determination result;
[0033] The first execution module is used to push maintenance reminder information to the target vehicle according to the target maintenance strategy when the judgment result is that the target maintenance strategy meets the preset conditions, and to make an appointment for maintenance service with the target service station among at least one candidate service station according to the target maintenance strategy when a maintenance instruction fed back by the target vehicle is received.
[0034] In a third aspect, the present application provides a computer device including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the vehicle maintenance service method in any one of the above-mentioned embodiments when executing the computer program.
[0035] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the vehicle maintenance service method in any one of the above-mentioned embodiments are implemented.
[0036] The above-mentioned vehicle maintenance service method, device, computer equipment and readable storage medium obtain the target maintenance strategy of the target vehicle by obtaining the operating status information of the target vehicle and the resource service information of at least one candidate service station, and according to the operating status information of the target vehicle, the resource service information of each candidate service station on the driving route of the target vehicle and the pre-constructed service strategy evaluation model. The target maintenance strategy can indicate what fault has occurred in the target vehicle, whether it needs to be maintained at a service station, and when and at which service station on the driving route to perform maintenance, etc., and then, when the target maintenance strategy meets the preset conditions, maintenance reminder information is pushed to the target vehicle according to the target maintenance strategy to prompt the user of the target vehicle to maintain the vehicle according to the target maintenance strategy. When the maintenance instruction fed back by the target vehicle is received, the maintenance service is reserved with the target service station among the candidate service stations according to the target maintenance strategy. The vehicle maintenance service method of the present application can push maintenance reminder information to the user according to the vehicle status and the resource service information of each service station on the driving route, and actively complete the reservation for the user, thereby realizing the active provision of maintenance services to the user and improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0038] Figure 1 A schematic diagram of a process flow of a vehicle maintenance service method in one embodiment;
[0039] Figure 2 is a flow chart of step S102 in one embodiment;
[0040] Figure 3 is a flow chart of step S202 in one embodiment;
[0041] Figure 4 is a flow chart of step S103 in one embodiment;
[0042] Figure 5 A schematic diagram of a process flow of a vehicle maintenance service method in another embodiment;
[0043] Figure 6A schematic diagram of a process flow of a vehicle maintenance service method in yet another embodiment;
[0044] Figure 7 is a structural block diagram of a vehicle maintenance service device in one embodiment;
[0045] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION
[0046] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0047] In an exemplary embodiment, see Figure 1 The present application provides a vehicle maintenance service method, which includes steps S101 to S104.
[0048] S101: Acquire the running status information of the target vehicle and the resource service information of at least one candidate service station, wherein the candidate service station is a service station on the driving route of the target vehicle.
[0049] In this embodiment, a TBOX (telematics box) controller is installed on the target vehicle, and the remote control terminal is integrated into the TBOX controller through the SDK (software development kit), connected to the vehicle controller through the communication CAN and the diagnostic CAN, and reads the running status information of the target vehicle. At the same time, the remote control terminal can also communicate with the big data platform to obtain the resource service information of each candidate service station on the driving route of the target vehicle. In one example, the SDK requires available memory ≥ 13MB, the maximum delay of CAN communication sending and receiving ≤ 10ms, the delay of sending and receiving multi-frame interval ≤ 1ms, and the Wifi transmission speed ≥ 500KB / s.
[0050] S102: Obtain a target maintenance strategy for the target vehicle according to the operation status information, resource service information and a pre-built service strategy evaluation model.
[0051] Afterwards, the remote control terminal can input the operating status information of the target vehicle, the resource service information of each candidate service station on the target vehicle's driving route, and the information of reference vehicles with high similarity to the target vehicle in the big data platform into the pre-built service strategy evaluation model, and the service strategy evaluation model will output the target maintenance strategy for the target vehicle.
[0052] S103: Determine whether the target maintenance strategy meets the preset conditions and obtain the determination result.
[0053] In this embodiment, the target maintenance strategy may include information such as what kind of fault the target vehicle has, when maintenance is required, what items need to be maintained, and at which service station the maintenance is performed. The remote control terminal may determine whether to actively recommend maintenance services to the user of the target vehicle based on information such as what kind of fault the target vehicle has in the target maintenance strategy.
[0054] S104: When it is determined that the target maintenance strategy satisfies the preset conditions, maintenance reminder information is pushed to the target vehicle according to the target maintenance strategy, and when a maintenance instruction is received from the target vehicle, a maintenance service is scheduled with the target service station among at least one candidate service station according to the target maintenance strategy.
[0055] In the application, when the judgment result is that the target maintenance strategy meets the preset conditions, that is, it is necessary to actively recommend maintenance services to the user of the target vehicle, the remote control terminal pushes maintenance reminder information to the target vehicle according to the target maintenance strategy. In one example, the remote control terminal can communicate with the mobile phone of the user of the target vehicle to push maintenance reminder information to the user of the target vehicle. The maintenance reminder information may include the fault information, maintenance time, maintenance location (target service station), maintenance items and other information of the target vehicle. After receiving the maintenance reminder information, the user can choose whether to perform maintenance on the target vehicle according to the maintenance reminder information. In the case where the user chooses to perform maintenance on the target vehicle according to the maintenance reminder information, the remote control terminal will receive the maintenance instructions fed back by the target vehicle and make an appointment for maintenance service with the target service station according to the target maintenance strategy, so that when the target vehicle arrives at the target service station, it can immediately receive the maintenance service without waiting.
[0056] The above-mentioned vehicle maintenance service method obtains the target maintenance strategy of the target vehicle by obtaining the operating status information of the target vehicle and the resource service information of at least one candidate service station, and according to the operating status information of the target vehicle, the resource service information of each candidate service station on the driving route of the target vehicle and the pre-constructed service strategy evaluation model. The target maintenance strategy can indicate what kind of fault has occurred in the target vehicle, whether it needs to be maintained at a service station, and when and at which service station on the driving route it needs to be maintained. Then, when the target maintenance strategy meets the preset conditions, maintenance reminder information is pushed to the target vehicle according to the target maintenance strategy to prompt the user of the target vehicle to maintain the vehicle according to the target maintenance strategy. When the maintenance instruction fed back by the target vehicle is received, an appointment for maintenance service is made with the target service station among the candidate service stations according to the target maintenance strategy. The vehicle maintenance service method of the present application can push maintenance reminder information to the user according to the vehicle status and the resource service information of each service station on the driving route, and actively complete the appointment for the user, thereby realizing the active provision of maintenance services to the user and improving the user experience.
[0057] In an exemplary embodiment, the service strategy evaluation model includes a rule model, a collaborative filtering model, and a weighted hybrid model. Figure 2 , step S102, obtaining a target maintenance strategy for the target vehicle according to the operating status information, resource service information and a pre-built service strategy evaluation model, including steps S201 to S203.
[0058] S201: Obtain a first maintenance strategy for a target vehicle according to the operation status information, resource service information and rule model.
[0059] In one example, the operating status information may include information such as the fault status, operating status, maintenance status, and cargo status of the target vehicle. The resource service information may include information such as the number of historical service personnel of the service station, the station service score, the station service type, the service reference price, and the inventory of parts required for maintenance. By inputting this information into the pre-built rule model, the first maintenance strategy of the target vehicle can be obtained. The first maintenance strategy includes information such as at least one first pre-selected maintenance time, at least one first pre-selected maintenance item, and at least one first pre-selected service station.
[0060] S202: Acquire a second maintenance strategy for the target vehicle according to the operating status information, a pre-stored reference vehicle information library, and a collaborative filtering model.
[0061] In the present application, the target vehicle's operating status information can be used to find several target reference vehicles with the highest similarity to the target vehicle's operating status using the reference vehicle information library in the big data platform, and the historical maintenance strategies of these target reference vehicles can be extracted as the second maintenance strategy of the target vehicle. The second maintenance strategy includes at least one second pre-selected maintenance time, at least one second pre-selected maintenance item, at least one second pre-selected service station, and other information.
[0062] S203: Obtaining a target maintenance strategy for the target vehicle according to the first maintenance strategy, the second maintenance strategy, and the weighted hybrid model.
[0063] Finally, the first maintenance strategy and the second maintenance strategy are input into the weighted hybrid model. The weighted hybrid model can derive an optimal maintenance strategy, namely the target maintenance strategy, by configuring the parameter weights of the first maintenance strategy and the second maintenance strategy.
[0064] In an exemplary embodiment, see Figure 3 , step S202, obtaining a second maintenance strategy for the target vehicle according to the operating status information, the pre-stored reference vehicle information library and the collaborative filtering model, including steps S301 to S303.
[0065] S301: Filtering a preset number of target reference vehicles from the reference vehicle information library according to the operating status information of the target vehicle, the reference vehicle information library and the collaborative filtering model.
[0066] Among them, the operating status information of the target vehicle can also include the target vehicle's driving route, vehicle type, vehicle configuration, driving behavior, driver condition, vehicle age and other information. The reference vehicle information database includes historical operating status information of each reference vehicle, such as the reference vehicle's historical driving route, vehicle type, vehicle configuration, driving behavior, driver condition, vehicle age, historical maintenance strategy and other information. By inputting these operating parameter information of the target vehicle and the reference vehicle information database into a pre-built collaborative filtering model, a preset number of reference vehicles with the highest similarity to the target vehicle's operating status information can be screened out as target reference vehicles. The similarity between the historical operating status information of the target reference vehicle and the operating status information of the target vehicle is higher than the similarity between the historical operating status information of other reference vehicles in the reference vehicle information database and the operating status information of the target vehicle.
[0067] S302: Obtain the historical maintenance strategy of each target reference vehicle.
[0068] Since the reference vehicle information database includes the historical maintenance strategies of the target reference vehicles, the historical maintenance strategies of each target reference vehicle can be directly obtained through the collaborative filtering model.
[0069] S303: Using the historical maintenance strategy of each target reference vehicle as the second maintenance strategy.
[0070] Afterwards, the historical maintenance strategy of each target reference vehicle can be directly used as the second maintenance strategy.
[0071] In an exemplary embodiment, see Figure 4 , step S103, judging whether the target maintenance strategy meets the preset conditions, including step S401 and step S402.
[0072] S401: When the fault level is a level 1 fault, determine whether the target maintenance strategy meets a preset condition.
[0073] In the application, the target maintenance strategy may include the fault level of the target vehicle, and the fault level includes level one fault and level two fault. Among them, level one fault refers to a fault that the user of the target vehicle can handle by himself, and level two fault refers to a fault that the user of the target vehicle cannot handle by himself and needs to be handled by professional maintenance personnel at the service station. In one example, the fault level of the target vehicle can be obtained directly from the target maintenance strategy. In another example, the target maintenance strategy may include the fault type of the target vehicle. After obtaining the target maintenance strategy of the target vehicle, the remote control terminal may first push the target maintenance strategy to the review end. After that, the experts and / or operation team at the review end may review the target maintenance strategy, determine whether the target maintenance strategy needs to be adjusted according to the fault type of the target vehicle, and give the fault level of the target vehicle.
[0074] S402: When the fault level is a level 2 fault, it is determined that the target maintenance strategy does not meet a preset condition.
[0075] If the fault level of the target vehicle is a level 2 fault, it means that the user can handle it by himself and does not need to go to the service station for maintenance. At this time, the remote control terminal pushes target maintenance guidance information to the target vehicle according to the target maintenance strategy. The target maintenance guidance information may include a maintenance instruction manual and / or video. After receiving the target maintenance guidance information, the user of the target vehicle can directly maintain the target vehicle according to the maintenance instruction manual and / or video.
[0076] In an exemplary embodiment, see Figure 5 , pushing target maintenance guidance information to the target vehicle according to the target maintenance strategy, including step S501 and step S502.
[0077] S501: Searching for target maintenance guidance information in a preset maintenance guidance information database according to a target maintenance strategy.
[0078] Specifically, the maintenance guidance information database can store maintenance instruction manuals and / or videos corresponding to various types of secondary faults. When the fault level of the target vehicle is a secondary fault, the remote control terminal can search the maintenance guidance information database according to the fault type of the target vehicle in the target maintenance strategy, determine the maintenance instruction manual and / or video corresponding to the fault type of the target vehicle, and generate target maintenance guidance information.
[0079] S502: Push target maintenance guidance information to the target vehicle.
[0080] Afterwards, the remote control terminal pushes the target maintenance guidance information to the mobile phone of the user of the target vehicle through the APP, and the user of the target vehicle can maintain the target vehicle in time according to the target maintenance guidance information.
[0081] In an exemplary embodiment, see Figure 6 The vehicle maintenance service method of the present application also includes step S601 and step S602.
[0082] S601: After the target service station completes the maintenance service for the target vehicle, receiving service evaluation information fed back by the target vehicle.
[0083] It can be understood that after the remote control terminal receives the maintenance instruction fed back by the target vehicle, it can make an appointment for maintenance service with the target service station, generate a vehicle diagnosis and repair report according to the target maintenance strategy, and send it to the target service station, so that the target service station can know the vehicle status and vehicle failure in advance, prepare the maintenance station, parts and other resources required for maintenance in advance. After the target vehicle arrives at the target service station, it can immediately receive maintenance service, and after completing the maintenance service, feedback service evaluation information to the remote control terminal through the APP.
[0084] S602: Iteratively train the service strategy evaluation model according to the service evaluation information.
[0085] After receiving the service evaluation information, the remote control terminal records the service evaluation information and target service strategy of this maintenance service, and uses it as training data for iterative operation of the weighted hybrid model, and iteratively trains the weighted hybrid model according to the service evaluation information and target service strategy.
[0086] In a detailed embodiment, the remote control terminal obtains the operating status information of the target vehicle in real time through the on-board TBOX controller, such as fault status, operating status, maintenance status, cargo status, driving route, vehicle type, vehicle configuration, driving behavior, driver condition, vehicle age and other information. At the same time, the resource service information of each candidate service station on the driving route of the target vehicle is obtained through the big data platform, such as the number of historical service personnel, station service score, station service type, service reference price, inventory of parts required for maintenance and other information, as well as the historical operating status information of each reference vehicle, such as the historical driving route, vehicle type, vehicle configuration, driving behavior, driver condition, vehicle age, historical maintenance strategy and other information of the reference vehicle.
[0087] Secondly, the target vehicle's fault status, operating status, maintenance status, cargo status and other information, as well as the historical service number of each candidate service station, site service score, site service type, service reference price, inventory of parts required for maintenance and other information, are input into the pre-built rule model to obtain the first maintenance strategy of the target vehicle. The first maintenance strategy includes at least one first pre-selected maintenance time, at least one first pre-selected maintenance item, at least one first pre-selected service station and other information. At the same time, the target vehicle's driving route, vehicle type, vehicle configuration, driving behavior, driver's condition, vehicle age and other information, as well as the historical driving route, vehicle type, vehicle configuration, driving behavior, driver's condition, vehicle age, historical maintenance strategy and other information of each reference vehicle are input into the collaborative filtering model to screen out several target reference vehicles with the highest similarity to the operating status of the target vehicle, and extract the historical maintenance strategies of these target reference vehicles as the second maintenance strategy of the target vehicle. The second maintenance strategy includes at least one second pre-selected maintenance time, at least one second pre-selected maintenance item, at least one second pre-selected service station and other information. Afterwards, the first maintenance strategy and the second maintenance strategy are input into the weighted hybrid model to obtain an optimal maintenance strategy, namely the target maintenance strategy.
[0088] After obtaining the target maintenance strategy, the target maintenance strategy can be pushed to the audit end first. The experts and / or operation team at the audit end can review the target maintenance strategy, determine whether the target maintenance strategy needs to be adjusted according to the fault type of the target vehicle, and give the fault level of the target vehicle. If the audit end determines that the fault level of the target vehicle is a level 2 fault, the remote control terminal can search the maintenance guidance information library according to the fault type of the target vehicle, determine the repair guidance manual and / or video corresponding to the fault type of the target vehicle, generate the target maintenance guidance information, and push the target maintenance guidance information to the mobile phone of the user of the target vehicle through the APP. The user of the target vehicle can maintain the target vehicle in time according to the target maintenance guidance information. If the audit end determines that the fault level of the target vehicle is a level 1 fault, the remote control terminal can push maintenance reminder information to the user of the target vehicle through the APP pre-installed on the mobile phone of the user of the target vehicle. After receiving the maintenance reminder information, the user can choose whether to maintain the target vehicle according to the maintenance reminder information. When the user chooses to perform maintenance on the target vehicle according to the maintenance prompt information, the remote control terminal will receive the maintenance instructions fed back by the target vehicle. After receiving the maintenance instructions fed back by the target vehicle, the remote control terminal can make an appointment for maintenance service with the target service station, generate a vehicle diagnosis and repair report according to the target maintenance strategy, and send it to the target service station, so that the target service station can understand the vehicle status and vehicle failure in advance, and prepare maintenance stations, parts and other resources required for maintenance in advance. After the target vehicle arrives at the target service station, it can immediately receive maintenance services, and after completing the maintenance services, it will feedback service evaluation information to the remote control terminal through the APP. After receiving the service evaluation information, the remote control terminal can iteratively train the weighted hybrid model according to the service evaluation information and the target service strategy to optimize the weighted hybrid model.
[0089] In summary, through the vehicle maintenance service method of this application, by installing the SDK in the TBOX controller of the target vehicle, the vehicle status data is collected and uploaded in real time, and at the same time, combined with the vehicle's driving route, vehicle configuration, driving behavior and other key vehicle operation information, data analysis and judgment are integrated, and combined with service station data and information, a target maintenance strategy is generated to provide users with proactive services, intervene in advance to solve vehicle problems, effectively reduce the risk of vehicle failure during transportation, and ensure healthy and safe driving of vehicles. At the same time, a fast and convenient proactive service system is established to improve vehicle maintenance efficiency and save time and costs wasted on unplanned vehicle stops.
[0090] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.
[0091] Based on the same inventive concept, the embodiment of the present application also provides a vehicle maintenance service device for implementing the vehicle maintenance service method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more vehicle maintenance service device embodiments provided below can refer to the limitations on the vehicle maintenance service method above, and will not be repeated here.
[0092] In an exemplary embodiment, Figure 7 As shown, a vehicle maintenance service device is provided, including: a first acquisition module 701, a second acquisition module 702, a third acquisition module 703 and a first execution module 704, wherein:
[0093] The first acquisition module 701 is used to acquire the operating status information of the target vehicle and the resource service information of at least one candidate service station, wherein the candidate service station is a service station on the driving route of the target vehicle.
[0094] The second acquisition module 702 is used to acquire the target maintenance strategy of the target vehicle according to the operation status information, resource service information and a pre-built service strategy evaluation model.
[0095] The third acquisition module 703 is used to determine whether the target maintenance strategy meets the preset conditions and obtain the determination result.
[0096] The first execution module 704 is used to push maintenance reminder information to the target vehicle according to the target maintenance strategy when the judgment result is that the target maintenance strategy meets the preset conditions, and to make an appointment for maintenance service with the target service station among at least one candidate service station according to the target maintenance strategy when a maintenance instruction is fed back by the target vehicle.
[0097] In an exemplary embodiment, the service strategy evaluation model includes a rule model, a collaborative filtering model and a weighted hybrid model; the second acquisition module includes: a first acquisition submodule, a second acquisition submodule and a third acquisition submodule.
[0098] The first acquisition submodule is used to acquire a first maintenance strategy for the target vehicle according to the operation status information, resource service information and the rule model.
[0099] The second acquisition submodule is used to acquire a second maintenance strategy for the target vehicle according to the operating status information, a pre-stored reference vehicle information library and a collaborative filtering model.
[0100] The third acquisition submodule is used to acquire a target maintenance strategy for the target vehicle according to the first maintenance strategy, the second maintenance strategy and the weighted hybrid model.
[0101] In an exemplary embodiment, the second acquisition submodule includes: a first screening unit, a first acquisition unit and a first execution unit.
[0102] The first screening unit is used to screen out a preset number of target reference vehicles from the reference vehicle information library according to the operating status information of the target vehicle, the reference vehicle information library and the collaborative filtering model; wherein the reference vehicle information library includes historical operating status information of each reference vehicle, and the similarity between the historical operating status information of the target reference vehicle and the operating status information of the target vehicle is higher than the similarity between the historical operating status information of other reference vehicles in the reference vehicle information library and the operating status information of the target vehicle.
[0103] The first acquisition unit is used to acquire the historical maintenance strategy of each target reference vehicle.
[0104] The first execution unit is used to use the historical maintenance strategy of each target reference vehicle as the second maintenance strategy.
[0105] In an exemplary embodiment, the target maintenance strategy includes a fault level of the target vehicle, and the fault level includes a primary fault and a secondary fault; the third acquisition module includes a first judgment submodule and a second judgment submodule.
[0106] The first judgment submodule is used to judge that the target maintenance strategy meets the preset conditions when the fault level is a level one fault.
[0107] The second judgment submodule is used to judge that the target maintenance strategy does not meet the preset conditions when the fault level is a level 2 fault.
[0108] In an exemplary embodiment, the vehicle maintenance service device further includes: a second execution module, the second execution module being configured to push target maintenance guidance information to the target vehicle according to a target maintenance strategy when the fault level is a level 2 fault.
[0109] In an exemplary embodiment, the first execution module includes: a first search submodule and a first push submodule.
[0110] The first search submodule is used to search for target maintenance guidance information in a preset maintenance guidance information library according to the target maintenance strategy.
[0111] The first push submodule is used to push target maintenance guidance information to the target vehicle.
[0112] In an exemplary embodiment, the vehicle maintenance service device further includes: a third execution module and a first training module.
[0113] The third execution module is used to receive service evaluation information fed back by the target vehicle after the target service station completes the maintenance service for the target vehicle.
[0114] The first training module is used to iteratively train the service strategy evaluation model according to the service evaluation information.
[0115] Each module in the above vehicle maintenance service device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.
[0116] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the vehicle maintenance service method in any of the above embodiments when executing the computer program.
[0117] The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 8As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a vehicle maintenance service method is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.
[0118] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0119] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the vehicle maintenance service method in any of the above embodiments are implemented.
[0120] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the steps of the vehicle maintenance service method in any of the above embodiments.
[0121] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0122] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.
[0123] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.
[0124] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.
Claims
1. A vehicle maintenance service method, characterized in that: The method comprises: Acquire the running status information of the target vehicle and the resource service information of at least one candidate service station, wherein the candidate service station is a service station on the driving route of the target vehicle; Acquire a target maintenance strategy for the target vehicle according to the operating status information, the resource service information and a pre-built service strategy evaluation model; Determine whether the target maintenance strategy meets the preset conditions and obtain the determination result; When the judgment result is that the target maintenance strategy meets the preset conditions, maintenance reminder information is pushed to the target vehicle according to the target maintenance strategy, and when a maintenance instruction is received from the target vehicle, a maintenance service is reserved for the target service station among at least one candidate service station according to the target maintenance strategy.
2. The method according to claim 1, characterized in that The service strategy evaluation model includes a rule model, a collaborative filtering model and a weighted hybrid model; the target maintenance strategy of the target vehicle is obtained according to the operation status information, the resource service information and the pre-built service strategy evaluation model, including: Acquire a first maintenance strategy for the target vehicle according to the operating status information, the resource service information and the rule model; Acquire a second maintenance strategy for the target vehicle according to the operating status information, a pre-stored reference vehicle information library and the collaborative filtering model; A target maintenance strategy for the target vehicle is acquired according to the first maintenance strategy, the second maintenance strategy and the weighted hybrid model.
3. The method according to claim 2, characterized in that The acquiring the second maintenance strategy of the target vehicle according to the operating status information, the pre-stored reference vehicle information library and the collaborative filtering model includes: According to the running status information of the target vehicle, the reference vehicle information library and the collaborative filtering model, a preset number of target reference vehicles are screened out from the reference vehicle information library; wherein the reference vehicle information library includes the historical running status information of each of the reference vehicles, and the similarity between the historical running status information of the target reference vehicle and the running status information of the target vehicle is higher than the similarity between the historical running status information of other reference vehicles in the reference vehicle information library and the running status information of the target vehicle; Obtaining a historical maintenance strategy for each of the target reference vehicles; The historical maintenance strategy of each of the target reference vehicles is used as the second maintenance strategy.
4. The method according to claim 1, characterized in that: The target maintenance strategy includes a fault level of the target vehicle, and the fault level includes a primary fault and a secondary fault; and judging whether the target maintenance strategy meets a preset condition includes: When the fault level is a level one fault, determining that the target maintenance strategy meets a preset condition; When the fault level is a level 2 fault, it is determined that the target maintenance strategy does not satisfy a preset condition.
5. The method according to claim 4, characterized in that The method further comprises: When the fault level is a level 2 fault, target maintenance guidance information is pushed to the target vehicle according to the target maintenance strategy.
6. The method according to claim 5, characterized in that The pushing target maintenance guidance information to the target vehicle according to the target maintenance strategy includes: Searching for target maintenance guidance information in a preset maintenance guidance information database according to the target maintenance strategy; Pushing the target maintenance guidance information to the target vehicle.
7. The method according to claim 1, characterized in that The method further comprises: After the target service station completes the maintenance service for the target vehicle, receiving service evaluation information fed back by the target vehicle; The service strategy evaluation model is iteratively trained according to the service evaluation information.
8. A vehicle maintenance service device, characterized in that: The device comprises: A first acquisition module is used to acquire the running status information of the target vehicle and the resource service information of at least one candidate service station, wherein the candidate service station is a service station on the driving route of the target vehicle; A second acquisition module is used to acquire a target maintenance strategy for the target vehicle according to the operating status information, the resource service information and a pre-built service strategy evaluation model; The third acquisition module is used to determine whether the target maintenance strategy meets the preset conditions and obtain the determination result; The first execution module is used to push maintenance reminder information to the target vehicle according to the target maintenance strategy when the judgment result is that the target maintenance strategy meets the preset conditions, and to make an appointment for maintenance service with the target service station among at least one candidate service station according to the target maintenance strategy when a maintenance instruction fed back by the target vehicle is received.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.
Citation Information
Cited By
Fault maintenance guidance method and device, equipment and storage medium
CN119882693A
A fault repair guidance method, apparatus, equipment and storage medium
CN119882693B
Automobile maintenance price comparison and intelligent matching system based on AI technology
CN120725723A
An automobile maintenance and repair price comparison and intelligent matching system based on AI technology
CN120725723B