Vehicle maintenance strategy generation method and device, storage medium and program product

Abstract

The invention relates to a vehicle maintenance strategy generation method and device, a storage medium and a program product. The method comprises the following steps: acquiring current driving data and historical driving data of a target vehicle; determining driving behavior characteristics of a driver corresponding to the target vehicle according to the current driving data and the historical driving data; and determining a current vehicle maintenance strategy of the target vehicle according to the driving behavior characteristics and the current vehicle condition data of the target vehicle. By adopting the method, a personalized vehicle maintenance strategy can be provided.

Description

Technical Field

[0001] The present application relates to the field of vehicle service technology, and in particular to a method, device, storage medium and program product for generating a vehicle maintenance strategy. Background Art

[0002] Currently, the vehicle maintenance plan in the industry mainly makes vehicle maintenance recommendations based on fixed indicators such as total vehicle mileage and usage time.

[0003] However, due to differences in personal driving habits and driving environments, existing vehicle maintenance recommendations cannot provide users with targeted repair and maintenance plans, and cannot meet the growing customization needs of all users. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, storage medium and program product for generating a vehicle maintenance strategy in order to solve the above technical problems, so as to provide a personalized vehicle maintenance strategy.

[0005] In a first aspect, the present application provides a method for generating a vehicle maintenance strategy, the method comprising:

[0006] Obtain the current driving data and historical driving data of the target vehicle;

[0007] Determine the driving behavior characteristics of the driver corresponding to the target vehicle based on the current driving data and historical driving data;

[0008] A current vehicle maintenance strategy for the target vehicle is determined based on the driving behavior characteristics and the current vehicle condition data of the target vehicle.

[0009] In one embodiment, determining the driving behavior characteristics of the driver corresponding to the target vehicle based on the current driving data and the historical driving data includes:

[0010] The driver's driving behavior list is updated according to the current driving data and the historical driving data; wherein the driving behavior list includes driving operation preferences and driving environment; and the driving behavior characteristics of the driver corresponding to the target vehicle are determined according to the driving behavior list.

[0011] In one embodiment, determining a current vehicle maintenance strategy of a target vehicle based on the driving behavior characteristics and the current vehicle condition data of the target vehicle includes:

[0012] An initial vehicle maintenance strategy for the target vehicle is determined based on driving behavior characteristics and current vehicle condition data of the target vehicle; the initial vehicle maintenance strategy is adjusted based on the historical vehicle maintenance strategy of the reference vehicle to obtain the current vehicle maintenance strategy for the target vehicle; wherein the basic vehicle information of the reference vehicle is the same as the basic vehicle information of the target vehicle; wherein the basic vehicle information includes the vehicle model and the vehicle manufacturer.

[0013] In one embodiment, determining an initial vehicle maintenance strategy for a target vehicle based on driving behavior characteristics and current vehicle condition data of the target vehicle includes:

[0014] A first group of maintenance items is determined based on driving behavior characteristics; a second group of maintenance items is determined based on current vehicle condition data of the target vehicle; and an initial vehicle maintenance strategy for the target vehicle is determined based on the first group of maintenance items and the second group of maintenance items.

[0015] In one embodiment, it includes:

[0016] Obtain the most recent historical push time of the historical vehicle maintenance strategy pushed to the target vehicle; determine the time interval between the current time and the historical push time; and push the current vehicle maintenance strategy to the driver based on the relationship between the time interval and a preset interval threshold.

[0017] In one embodiment, according to the size relationship between the time interval and the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver, including:

[0018] When the time interval is greater than the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver, and prompt information for the current vehicle maintenance strategy is output; when the time interval is less than or equal to the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver.

[0019] In a second aspect, the present application also provides a device for generating a vehicle maintenance strategy, the device comprising:

[0020] An acquisition module is used to acquire the current driving data and historical driving data of the target vehicle;

[0021] A feature determination module, used to determine the driving behavior features of the driver corresponding to the target vehicle based on the current driving data and the historical driving data;

[0022] The strategy determination module is used to determine the current vehicle maintenance strategy of the target vehicle based on the driving behavior characteristics and the current vehicle condition data of the target vehicle.

[0023] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0024] Obtain the current driving data and historical driving data of the target vehicle;

[0025] Determine the driving behavior characteristics of the driver corresponding to the target vehicle based on the current driving data and historical driving data;

[0026] A current vehicle maintenance strategy for the target vehicle is determined based on the driving behavior characteristics and the current vehicle condition data of the target vehicle.

[0027] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0028] Obtain the current driving data and historical driving data of the target vehicle;

[0029] Determine the driving behavior characteristics of the driver corresponding to the target vehicle based on the current driving data and historical driving data;

[0030] A current vehicle maintenance strategy for the target vehicle is determined based on the driving behavior characteristics and the current vehicle condition data of the target vehicle.

[0031] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0032] Obtain the current driving data and historical driving data of the target vehicle;

[0033] Determine the driving behavior characteristics of the driver corresponding to the target vehicle based on the current driving data and historical driving data;

[0034] A current vehicle maintenance strategy for the target vehicle is determined based on the driving behavior characteristics and the current vehicle condition data of the target vehicle.

[0035] The above-mentioned vehicle maintenance strategy generation method, device, storage medium and program product determine the driving behavior characteristics of the driver corresponding to the target vehicle based on the current driving data and historical driving data, that is, taking the driver's personal driving habits into consideration; then, according to the driving behavior characteristics and the current vehicle condition data of the target vehicle, determine the current vehicle maintenance strategy of the target vehicle, that is, combine the driver's personal driving habits with the condition of the target vehicle. This solution adds the driver's personal driving habits as a consideration dimension by introducing driving behavior characteristics; furthermore, by combining driving behavior characteristics with current vehicle condition data, all-round and personalized consideration of the target vehicle is achieved, and ultimately personalized formulation of the current vehicle maintenance strategy is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 An application environment diagram of a method for generating a vehicle maintenance strategy provided in an embodiment of the present application;

[0038] Figure 2 A schematic diagram of a process for generating a vehicle maintenance strategy provided in an embodiment of the present application;

[0039] Figure 3 A schematic diagram of a process for determining driving behavior characteristics provided in an embodiment of the present application;

[0040] Figure 4 A schematic diagram of a process for determining a current vehicle maintenance strategy provided in an embodiment of the present application;

[0041] Figure 5 A schematic flow chart of another method for generating a vehicle maintenance strategy provided in an embodiment of the present application;

[0042] Figure 6 A structural block diagram of a vehicle maintenance strategy generation device provided in an embodiment of the present application;

[0043] Figure 7 This is a diagram of the internal structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] 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.

[0045] The vehicle maintenance strategy generation method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The terminal 102 records the current driving data of the target vehicle in real time, and sends the recorded current driving data to the server 104 for storage; then, the server 104 can directly obtain the current driving data and historical driving data of the target vehicle, and analyze the current driving data and historical driving data to determine the driving behavior characteristics of the driver corresponding to the target vehicle; further, the current vehicle condition data of the target vehicle can be obtained, and the current vehicle condition data and driving behavior characteristics are combined to comprehensively determine the current vehicle maintenance strategy of the target vehicle. Among them, the terminal 102 can be, but is not limited to, various sensors and monitoring equipment, etc., and can be equipment installed on the target vehicle and / or various road test equipment. The server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0046] In an exemplary embodiment, Figure 2 As shown, a method for generating a vehicle maintenance strategy is provided, and the method is applied to Figure 1 Taking the server 104 in the example as an example, the following steps may be included:

[0047] S201, obtaining current driving data and historical driving data of a target vehicle.

[0048] Among them, the current driving data can represent the operation data of the driver driving the target vehicle within the preset period, such as mileage, vehicle speed, acceleration, deceleration, lane departure, braking pressure, braking frequency, and long-term high-speed driving; the historical driving data can represent the operation data of the driver driving the target vehicle within the historical period, such as mileage, number of sudden accelerations, number of sudden decelerations, braking frequency, and long-term high-speed driving. Optionally, the preset period and the historical period can be pre-set, such as the preset period can be set to the period between the start time and the current time, wherein the start time and the current time can be separated by 30 days; the historical period can be set to the period between the historical start time and the historical end time, wherein the historical start time and the historical end time can be separated by one year, and the historical end time can be set to the start time in the preset period.

[0049] Exemplarily, the terminal 102 monitors the driving data of the target vehicle in real time, and sends the monitored data to the server 104 through a communication module (such as Telematics BOX, TBOX, remote communication terminal); then, the server 104 performs data cleaning on the received monitoring data, such as removing noise data, abnormal values ​​and duplicate data, so as to obtain the current driving data and historical driving data of the target vehicle.

[0050] S202: Determine the driving behavior characteristics of the driver corresponding to the target vehicle according to the current driving data and the historical driving data.

[0051] Among them, the driving behavior characteristics are data that can represent the driver's driving habits or driving preferences.

[0052] For example, the current driving data and the historical driving data can be input into the feature analysis model, and the feature analysis model analyzes the current driving data and the historical driving data, and obtains the driving behavior characteristics of the driver corresponding to the target vehicle, such as the number of sudden accelerations, the number of sudden decelerations, the speeding time, and the number of long-term high-speed driving, etc. Optionally, the feature analysis model can be constructed by big data and artificial intelligence technology.

[0053] S203, determining a current vehicle maintenance strategy of the target vehicle according to the driving behavior characteristics and the current vehicle condition data of the target vehicle.

[0054] Among them, the current vehicle condition data can represent the current vehicle condition data of the target vehicle, such as mileage, driving time, battery attenuation, sensor data, water temperature, speed, air flow and other data; optionally, the vehicle condition data can be obtained through the on-board unit, and the on-board unit can include but is not limited to ECU (Electronic Control Unit), vehicle computer and OBD (On-Board Diagnostic) diagnostic equipment, etc.; the current vehicle maintenance strategy can represent the maintenance items suitable for the current target vehicle after combining the driver's driving habits.

[0055] Exemplarily, the driving behavior characteristics and the current vehicle condition data of the target vehicle may be fused and processed, taking into account the driver's driving habits and the current condition of the target vehicle. For example, the driving behavior characteristics and the current vehicle condition data of the target vehicle may be fused and / or processed, or the driving behavior characteristics and the current vehicle condition data of the target vehicle may be weightedly fused and processed, and ultimately a current vehicle maintenance strategy suitable for the current condition of the target vehicle may be determined.

[0056] The above-mentioned method for generating vehicle maintenance strategies determines the driving behavior characteristics of the driver corresponding to the target vehicle based on the current driving data and historical driving data, that is, taking the driver's personal driving habits into consideration; then, according to the driving behavior characteristics and the current vehicle condition data of the target vehicle, the current vehicle maintenance strategy of the target vehicle is determined, that is, combining the driver's personal driving habits with the condition of the target vehicle. This solution adds the dimension of the driver's personal driving habits by introducing driving behavior characteristics; furthermore, by combining the driving behavior characteristics with the current vehicle condition data, a comprehensive and personalized consideration of the target vehicle is achieved, and finally the personalized formulation of the current vehicle maintenance strategy is achieved.

[0057] Based on the above embodiment, the present embodiment of the application explains the above embodiment S202 in detail. Specifically, the present embodiment of the application involves the process of determining the driving behavior characteristics, such as Figure 3 As shown, the specific steps include:

[0058] S301, updating the driver's driving behavior list according to current driving data and historical driving data.

[0059] The driving behavior list may include but is not limited to driving operation preferences and driving environment.

[0060] For example, the driver's latest driving operation preference and driving environment can be determined based on current driving data and historical driving data; further, the driver's driving behavior list is updated based on the driver's latest driving operation preference and driving environment to achieve timely acquisition of the driver's unique needs.

[0061] S302: Determine the driving behavior characteristics of the driver corresponding to the target vehicle according to the driving behavior list.

[0062] Exemplarily, the driving behaviors of the drivers may be sorted from high to low in frequency according to the driving behavior list, and the top 20% of the driving behaviors may be determined as the driving behavior characteristics of the driver corresponding to the target vehicle.

[0063] In the embodiment of the present application, by updating the driver's driving behavior list, the driver's driving behavior characteristics are updated in real time, thereby laying the foundation for providing a more suitable maintenance strategy for the target vehicle.

[0064] Based on the above embodiment, the present embodiment of the present application explains the above embodiment S203 in detail. Specifically, the present embodiment of the present application involves a process of determining the current vehicle maintenance strategy, such as Figure 4 As shown, the specific steps include:

[0065] S401, determining an initial vehicle maintenance strategy for the target vehicle according to the driving behavior characteristics and the current vehicle condition data of the target vehicle.

[0066] The initial vehicle maintenance strategy may represent an initial vehicle maintenance plan for the target vehicle.

[0067] An implementable method is to determine a first group of maintenance items based on driving behavior characteristics; determine a second group of maintenance items based on current vehicle condition data of the target vehicle; and determine an initial vehicle maintenance strategy for the target vehicle based on the first group of maintenance items and the second group of maintenance items.

[0068] The first group of maintenance items may represent a group of items suitable for maintenance of the target vehicle; the second group of maintenance items may represent another group of items suitable for maintenance of the target vehicle.

[0069] Exemplarily, the first group of maintenance items can be determined based on the driver's driving behavior characteristics, that is, from the dimension of driving habits; and the second group of maintenance items can be determined based on the current vehicle condition data of the target vehicle, that is, from the dimension of vehicle condition; further, the first group of maintenance items and the second group of maintenance items can be fused, such as the first group of maintenance items and the second group of maintenance items can be processed and / or processed, or the first group of maintenance items and the second group of maintenance items can be weightedly fused, and the initial vehicle maintenance strategy of the target vehicle can be determined.

[0070] Another possible implementation method is to directly input the driving behavior characteristics and the current vehicle condition data of the target vehicle into the maintenance strategy generation model, and the maintenance strategy generation model analyzes the driving behavior characteristics and the current vehicle condition data and determines the initial vehicle maintenance strategy for the target vehicle.

[0071] S402, adjusting the initial vehicle maintenance strategy according to the historical vehicle maintenance strategy of the reference vehicle to obtain the current vehicle maintenance strategy of the target vehicle.

[0072] Among them, the basic vehicle information of the control vehicle is the same as the basic vehicle information of the target vehicle; the basic vehicle information includes the vehicle model and vehicle manufacturer.

[0073] Exemplarily, high-frequency maintenance items can be determined from the historical vehicle maintenance strategy of the control vehicle; then, the high-frequency maintenance items can be added to the initial vehicle maintenance strategy, and the order of the maintenance items in the initial vehicle maintenance strategy can be adjusted, such as arranging the high-frequency maintenance items to the front of the maintenance items, etc., to complete the adjustment of the initial vehicle maintenance strategy and obtain the current vehicle maintenance strategy of the final target vehicle.

[0074] In the embodiment of the present application, by introducing the historical vehicle maintenance strategy of the reference vehicle, the current vehicle maintenance strategy of the target vehicle is made more comprehensive and more accurate.

[0075] Based on the above-mentioned embodiments, the embodiments of the present application provide a detailed explanation of the situation after determining the current vehicle maintenance strategy of the target vehicle. Optionally, the historical push time of the most recent push of the historical vehicle maintenance strategy to the target vehicle can be obtained; the time interval between the current time and the historical push time can be determined; and the current vehicle maintenance strategy can be pushed to the driver according to the size relationship between the time interval and the preset interval threshold.

[0076] The historical push time may represent the historical time of pushing the historical vehicle maintenance strategy to the target vehicle; and the preset interval threshold may represent the threshold of a preset time interval.

[0077] One possible implementation method is to push the current vehicle maintenance strategy to the driver and output prompt information for the current vehicle maintenance strategy when the time interval is greater than a preset interval threshold; and to push the current vehicle maintenance strategy to the driver when the time interval is less than or equal to the preset interval threshold.

[0078] Exemplarily, the push time of the historical vehicle maintenance strategy to the target vehicle is obtained, and the most recent historical push time is determined; further, the time interval ΔT between the current time and the historical push time is calculated, and the time interval ΔT is compared with the preset interval threshold T. If ΔT>T, the current vehicle maintenance strategy is pushed to the driver, and prompt information for the current vehicle maintenance strategy is output, wherein the prompt information may include but is not limited to SMS reminders, phone reminders, and pop-up reminders, etc.; if ΔT<=T, only the current vehicle maintenance strategy is pushed to the driver, and no message reminder is output.

[0079] Another possible implementation method is to push the current vehicle maintenance strategy to the driver and output prompt information for the current vehicle maintenance strategy only when the time interval is greater than or equal to a preset interval threshold. The embodiment of the present application does not specifically limit the method of pushing the current vehicle maintenance strategy to the driver.

[0080] In the embodiment of the present application, by introducing a preset interval threshold, an opportunity is provided for pushing the current vehicle maintenance strategy to the driver, thereby achieving the goal of pushing the current vehicle maintenance strategy to the driver while minimizing the disturbance to the driver.

[0081] Based on the above embodiment, this embodiment provides an optional example of a method for generating a vehicle maintenance strategy. Figure 5 As shown, the specific implementation process is as follows:

[0082] S501, obtaining current driving data and historical driving data of the target vehicle.

[0083] S502: Update the driver's driving behavior list according to the current driving data and the historical driving data.

[0084] The driving behavior list includes driving operation preferences and driving environment.

[0085] S503: Determine the driving behavior characteristics of the driver corresponding to the target vehicle according to the driving behavior list.

[0086] S504: Determine a first group of maintenance items according to the driving behavior characteristics.

[0087] S505: Determine a second group of maintenance items according to the current vehicle condition data of the target vehicle.

[0088] S506: Determine an initial vehicle maintenance strategy for the target vehicle according to the first group of maintenance items and the second group of maintenance items.

[0089] S507, adjusting the initial vehicle maintenance strategy according to the historical vehicle maintenance strategy of the reference vehicle to obtain the current vehicle maintenance strategy of the target vehicle.

[0090] Among them, the basic vehicle information of the control vehicle is the same as the basic vehicle information of the target vehicle; the basic vehicle information includes the vehicle model and vehicle manufacturer.

[0091] S508: Obtain the most recent historical push time of pushing the historical vehicle maintenance strategy to the target vehicle.

[0092] S509: Determine the time interval between the current time and the historical push time.

[0093] S510, judging the time interval. If the time interval is greater than the preset interval threshold, executing S511; if the time interval is less than or equal to the preset interval threshold, executing S512.

[0094] S511, pushing the current vehicle maintenance strategy to the driver, and outputting prompt information for the current vehicle maintenance strategy.

[0095] S512: Push the current vehicle maintenance strategy to the driver.

[0096] The above-mentioned S501-S512 process can refer to the description of the above-mentioned method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0097] 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.

[0098] Based on the same inventive concept, the embodiment of the present application also provides a vehicle maintenance strategy generation device for implementing the vehicle maintenance strategy generation 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 the embodiments of one or more vehicle maintenance strategy generation devices provided below can refer to the limitations of the vehicle maintenance strategy generation method above, and will not be repeated here.

[0099] In an exemplary embodiment, Figure 6 As shown, a vehicle maintenance strategy generation device 1 is provided, comprising: an acquisition module 10, a feature determination module 20 and a strategy determination module 30, wherein:

[0100] An acquisition module 10 is used to acquire current driving data and historical driving data of a target vehicle;

[0101] The feature determination module 20 is used to determine the driving behavior features of the driver corresponding to the target vehicle based on the current driving data and the historical driving data;

[0102] The strategy determination module 30 is used to determine the current vehicle maintenance strategy of the target vehicle according to the driving behavior characteristics and the current vehicle condition data of the target vehicle.

[0103] In one embodiment, the feature determination module 20 is specifically used to:

[0104] The driver's driving behavior list is updated according to the current driving data and the historical driving data; wherein the driving behavior list includes driving operation preferences and driving environment; and the driving behavior characteristics of the driver corresponding to the target vehicle are determined according to the driving behavior list.

[0105] In one embodiment, the policy determination module 30 is specifically configured to:

[0106] An initial vehicle maintenance strategy for the target vehicle is determined based on driving behavior characteristics and current vehicle condition data of the target vehicle; the initial vehicle maintenance strategy is adjusted based on the historical vehicle maintenance strategy of the reference vehicle to obtain the current vehicle maintenance strategy for the target vehicle; wherein the basic vehicle information of the reference vehicle is the same as the basic vehicle information of the target vehicle; wherein the basic vehicle information includes the vehicle model and the vehicle manufacturer.

[0107] In one embodiment, the policy determination module 30 is further configured to:

[0108] A first group of maintenance items is determined based on driving behavior characteristics; a second group of maintenance items is determined based on current vehicle condition data of the target vehicle; and an initial vehicle maintenance strategy for the target vehicle is determined based on the first group of maintenance items and the second group of maintenance items.

[0109] In one embodiment, the vehicle maintenance strategy generation device 1 further includes:

[0110] The push module is used to obtain the historical push time of the most recent historical vehicle maintenance strategy pushed to the target vehicle; determine the time interval between the current time and the historical push time; and push the current vehicle maintenance strategy to the driver based on the size relationship between the time interval and the preset interval threshold.

[0111] In one embodiment, the push module is further used to:

[0112] When the time interval is greater than the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver, and prompt information for the current vehicle maintenance strategy is output; when the time interval is less than or equal to the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver.

[0113] Each module in the above-mentioned vehicle maintenance strategy generation device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules 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 of the above modules.

[0114] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store target vehicle data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for generating a vehicle maintenance strategy is implemented.

[0115] Those skilled in the art will understand that Figure 7 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.

[0116] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0117] Obtain the current driving data and historical driving data of the target vehicle;

[0118] Determine the driving behavior characteristics of the driver corresponding to the target vehicle based on the current driving data and historical driving data;

[0119] A current vehicle maintenance strategy for the target vehicle is determined based on the driving behavior characteristics and the current vehicle condition data of the target vehicle.

[0120] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0121] The driver's driving behavior list is updated according to the current driving data and the historical driving data; wherein the driving behavior list includes driving operation preferences and driving environment; and the driving behavior characteristics of the driver corresponding to the target vehicle are determined according to the driving behavior list.

[0122] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0123] An initial vehicle maintenance strategy for the target vehicle is determined based on driving behavior characteristics and current vehicle condition data of the target vehicle; the initial vehicle maintenance strategy is adjusted based on the historical vehicle maintenance strategy of the reference vehicle to obtain the current vehicle maintenance strategy for the target vehicle; wherein the basic vehicle information of the reference vehicle is the same as the basic vehicle information of the target vehicle; wherein the basic vehicle information includes the vehicle model and the vehicle manufacturer.

[0124] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0125] A first group of maintenance items is determined based on driving behavior characteristics; a second group of maintenance items is determined based on current vehicle condition data of the target vehicle; and an initial vehicle maintenance strategy for the target vehicle is determined based on the first group of maintenance items and the second group of maintenance items.

[0126] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0127] Obtain the most recent historical push time of the historical vehicle maintenance strategy pushed to the target vehicle; determine the time interval between the current time and the historical push time; and push the current vehicle maintenance strategy to the driver based on the relationship between the time interval and a preset interval threshold.

[0128] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0129] When the time interval is greater than the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver, and prompt information for the current vehicle maintenance strategy is output; when the time interval is less than or equal to the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver.

[0130] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0131] Obtain the current driving data and historical driving data of the target vehicle;

[0132] Determine the driving behavior characteristics of the driver corresponding to the target vehicle based on the current driving data and historical driving data;

[0133] A current vehicle maintenance strategy for the target vehicle is determined based on the driving behavior characteristics and the current vehicle condition data of the target vehicle.

[0134] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0135] The driver's driving behavior list is updated according to the current driving data and the historical driving data; wherein the driving behavior list includes driving operation preferences and driving environment; and the driving behavior characteristics of the driver corresponding to the target vehicle are determined according to the driving behavior list.

[0136] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0137] An initial vehicle maintenance strategy for the target vehicle is determined based on driving behavior characteristics and current vehicle condition data of the target vehicle; the initial vehicle maintenance strategy is adjusted based on the historical vehicle maintenance strategy of the reference vehicle to obtain the current vehicle maintenance strategy for the target vehicle; wherein the basic vehicle information of the reference vehicle is the same as the basic vehicle information of the target vehicle; wherein the basic vehicle information includes the vehicle model and the vehicle manufacturer.

[0138] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0139] A first group of maintenance items is determined based on driving behavior characteristics; a second group of maintenance items is determined based on current vehicle condition data of the target vehicle; and an initial vehicle maintenance strategy for the target vehicle is determined based on the first group of maintenance items and the second group of maintenance items.

[0140] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0141] Obtain the most recent historical push time of the historical vehicle maintenance strategy pushed to the target vehicle; determine the time interval between the current time and the historical push time; and push the current vehicle maintenance strategy to the driver based on the relationship between the time interval and a preset interval threshold.

[0142] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0143] When the time interval is greater than the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver, and prompt information for the current vehicle maintenance strategy is output; when the time interval is less than or equal to the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver.

[0144] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0145] Obtain the current driving data and historical driving data of the target vehicle;

[0146] Determine the driving behavior characteristics of the driver corresponding to the target vehicle based on the current driving data and historical driving data;

[0147] A current vehicle maintenance strategy for the target vehicle is determined based on the driving behavior characteristics and the current vehicle condition data of the target vehicle.

[0148] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0149] The driver's driving behavior list is updated according to the current driving data and the historical driving data; wherein the driving behavior list includes driving operation preferences and driving environment; and the driving behavior characteristics of the driver corresponding to the target vehicle are determined according to the driving behavior list.

[0150] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0151] An initial vehicle maintenance strategy for the target vehicle is determined based on driving behavior characteristics and current vehicle condition data of the target vehicle; the initial vehicle maintenance strategy is adjusted based on the historical vehicle maintenance strategy of the reference vehicle to obtain the current vehicle maintenance strategy for the target vehicle; wherein the basic vehicle information of the reference vehicle is the same as the basic vehicle information of the target vehicle; wherein the basic vehicle information includes the vehicle model and the vehicle manufacturer.

[0152] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0153] A first group of maintenance items is determined based on driving behavior characteristics; a second group of maintenance items is determined based on current vehicle condition data of the target vehicle; and an initial vehicle maintenance strategy for the target vehicle is determined based on the first group of maintenance items and the second group of maintenance items.

[0154] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0155] Obtain the most recent historical push time of the historical vehicle maintenance strategy pushed to the target vehicle; determine the time interval between the current time and the historical push time; and push the current vehicle maintenance strategy to the driver based on the relationship between the time interval and a preset interval threshold.

[0156] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0157] When the time interval is greater than the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver, and prompt information for the current vehicle maintenance strategy is output; when the time interval is less than or equal to the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver.

[0158] It should be noted that the information (including but not limited to vehicle 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 fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0159] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods 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 this application can include at least one of non-volatile 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), magnetoresistive 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, etc., but are not limited to this.

[0160] 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 specification.

[0161] 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 method for generating a vehicle maintenance strategy, characterized in that: The method comprises: Obtain the current driving data and historical driving data of the target vehicle; Determining a driving behavior characteristic of a driver corresponding to the target vehicle according to the current driving data and the historical driving data; A current vehicle maintenance strategy for the target vehicle is determined based on the driving behavior characteristics and the current vehicle condition data of the target vehicle.

2. The method according to claim 1, characterized in that The determining, based on the current driving data and the historical driving data, the driving behavior characteristics of the driver corresponding to the target vehicle includes: updating the driver's driving behavior list according to the current driving data and the historical driving data; wherein the driving behavior list includes driving operation preferences and driving environment; According to the driving behavior list, the driving behavior characteristics of the driver corresponding to the target vehicle are determined.

3. The method according to claim 1, characterized in that The determining of the current vehicle maintenance strategy of the target vehicle according to the driving behavior characteristics and the current vehicle condition data of the target vehicle comprises: Determining an initial vehicle maintenance strategy for the target vehicle based on the driving behavior characteristics and the current vehicle condition data of the target vehicle; The initial vehicle maintenance strategy is adjusted according to the historical vehicle maintenance strategy of the reference vehicle to obtain the current vehicle maintenance strategy of the target vehicle; wherein the basic vehicle information of the reference vehicle is the same as the basic vehicle information of the target vehicle; wherein the basic vehicle information includes the vehicle model and the vehicle manufacturer.

4. The method according to claim 3, characterized in that The step of determining an initial vehicle maintenance strategy for the target vehicle based on the driving behavior characteristics and the current vehicle condition data of the target vehicle comprises: determining a first group of maintenance items according to the driving behavior characteristics; determining a second set of maintenance items based on the current vehicle condition data of the target vehicle; An initial vehicle maintenance strategy for the target vehicle is determined based on the first group of maintenance items and the second group of maintenance items.

5. The method according to claim 1, characterized in that The method further comprises: Obtain the most recent historical push time of pushing the historical vehicle maintenance strategy to the target vehicle; Determine the time interval between the current time and the historical push time; The current vehicle maintenance strategy is pushed to the driver according to the size relationship between the time interval and a preset interval threshold.

6. The method according to claim 5, characterized in that The pushing the current vehicle maintenance strategy to the driver according to the size relationship between the time interval and the preset interval threshold includes: When the time interval is greater than the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver, and prompt information for the current vehicle maintenance strategy is output; When the time interval is less than or equal to the preset interval threshold, the current vehicle maintenance strategy is pushed to the driver.

7. A vehicle maintenance strategy generation device, characterized in that: The device comprises: An acquisition module is used to acquire the current driving data and historical driving data of the target vehicle; A feature determination module, used to determine the driving behavior features of the driver corresponding to the target vehicle according to the current driving data and the historical driving data; A strategy determination module is used to determine a current vehicle maintenance strategy of the target vehicle based on the driving behavior characteristics and the current vehicle condition data of the target vehicle.

8. 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 6 are implemented.

9. 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 6 are implemented.

10. A computer program product, comprising a computer program, 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 6 are implemented.

Images