Method, device, server, system and storage medium for evaluating purchase of used car

Abstract

The application discloses a used car purchase evaluation method and device, a server, a system and a storage medium, and specifically comprises the following steps: receiving a vehicle evaluation request sent by a user terminal, wherein the vehicle evaluation request comprises attribute information of a target vehicle; determining fault rate data of each accessory of the target vehicle in a future target time interval based on a pre-established vehicle fault rate information database and according to the attribute information of the target vehicle; generating a maintenance data report of the target vehicle in the future target time interval according to the fault rate data; generating a value evaluation result of the target vehicle according to the maintenance data report, and feeding back the maintenance data report and the value evaluation result to the user terminal. The method accurately evaluates the price of the vehicle by using the fault rate information, and provides accurate used car purchase information for the user.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of second-hand car information processing, and particularly relates to a second-hand car purchase evaluation method, device, server, system and storage medium. BACKGROUND

[0002] Since the early 1990s, the second-hand car market has had a history of nearly 30 years. With the development of social life and the improvement of economic level, the second-hand car circulation industry has developed rapidly. Whether in terms of transaction quantity or transaction amount, it is rapidly growing at a rate of two digits. Driven by favorable policies, consumption upgrading and market demand, the Chinese second-hand car industry is developing rapidly.

[0003] For second-hand car buyers, the choice of second-hand cars is often based on the economic and practical characteristics of second-hand cars compared with new cars. Therefore, how to choose a second-hand car with high cost performance becomes the most concerned problem of buyers. However, the function of the second-hand car market in China is still relatively single, and the targeted information that can be provided to buyers is very limited. The regular second-hand car market price is determined according to market conditions, and the price is different in different situations. The fuzzy price reference value is not high. Therefore, in order to help users comprehensively and targetedly understand the information and reasonable price of different models of vehicles, and to promote the healthy development of the second-hand car industry, it is necessary to put forward a technical scheme that can provide accurate second-hand car purchase information for users. SUMMARY

[0004] In view of the deficiencies of the prior art described above, the purpose of the present application is to provide a second-hand car purchase evaluation method, device, server, system and storage medium, which accurately evaluates the vehicle price by fitting the failure rate information of different vehicle models in advance, and provides accurate second-hand car purchase information for users.

[0005] To achieve the above-mentioned purpose of the application, the following technical solutions are provided.

[0006] A second-hand car purchase evaluation method comprises the following steps:

[0007] Receiving a vehicle evaluation request sent by a user terminal, wherein the vehicle evaluation request comprises attribute information of a target vehicle;

[0008] Based on a pre-established vehicle failure rate information database, determining the failure rate data of each accessory of the target vehicle in a future target time interval according to the attribute information of the target vehicle;

[0009] Generating a maintenance data report of the target vehicle in the future target time interval according to the failure rate data;

[0010] According to the maintenance data report generation target vehicle value assessment results, and the maintenance data report and value assessment results feedback to the user terminal.

[0011] According to a specific embodiment, the above-mentioned second-hand car purchase evaluation method, the vehicle failure rate information database is established by the following steps, including:

[0012] Obtain data information of a plurality of vehicles from a vehicle maintenance information platform, a vehicle enterprise and an automobile specialized store, wherein the data information includes vehicle model, time information, mileage information and each accessory failure information;

[0013] For each type of vehicle, generate a failure rate curve of each accessory of the vehicle according to the time information, mileage information and each accessory failure information of the vehicle;

[0014] Based on the model of the vehicle, index is established, and the failure rate curve of each accessory of each type of vehicle is imported into the corresponding index to establish the vehicle failure rate information database.

[0015] According to a specific embodiment, the above-mentioned second-hand car purchase evaluation method, the vehicle failure rate information database is established by the following steps, including:

[0016] The historical damage characteristics of each accessory of the vehicle are analyzed, and the vehicle accessories are divided into mileage sensitive accessories and time sensitive accessories according to the analysis results;

[0017] For the mileage sensitive accessory, the failure rate mileage distribution curve corresponding to the accessory is fitted by combining the vehicle mileage information and the accessory failure information;

[0018] For the time sensitive accessory, the failure rate time distribution curve corresponding to the accessory is fitted by combining the vehicle time information and the accessory failure information.

[0019] According to a specific embodiment, the above-mentioned second-hand car purchase evaluation method, the attribute information includes the vehicle model and the production year of the target vehicle; and the failure rate data of each accessory of the target vehicle in the future target time interval is determined according to the attribute information of the target vehicle, including:

[0020] According to the model of the target vehicle, the failure rate curve of each accessory of the vehicle is obtained in the pre-established vehicle failure rate information library;

[0021] According to the failure rate curve of each accessory, for each accessory, according to the production year of the vehicle, the failure rate data in the future target time interval is found.

[0022] According to a specific embodiment, in the second-hand vehicle purchase evaluation method, the maintenance data report of the target vehicle in the future target time interval is generated by:

[0023] For each accessory of the target vehicle, the maintenance cost of the accessory in the future target time interval is calculated according to the maintenance fee rule and the failure rate data of the accessory;

[0024] Based on the maintenance cost of each accessory of the target vehicle in the future target time interval, the maintenance data report is generated.

[0025] According to a specific embodiment, in the second-hand vehicle purchase evaluation method, the value evaluation result of the target vehicle is generated according to the maintenance data report, which includes:

[0026] The average discount rate of the target vehicle corresponding to the vehicle series is counted,

[0027] The evaluation price of the vehicle to be evaluated is generated according to the maintenance data report and the average discount rate.

[0028] In another aspect of the present application, a second-hand vehicle purchase evaluation device is also provided, which includes:

[0029] The receiving module is used for receiving the vehicle evaluation request sent by the user terminal, and the vehicle evaluation request includes the attribute information of the target vehicle; the storage module is used for storing the pre-established vehicle failure rate information database;

[0030] The prediction analysis module is used for determining the failure rate data of each accessory of the target vehicle in the future target time interval based on the pre-established vehicle failure rate information database and the attribute information of the target vehicle;

[0031] The calculation module is used for calculating the maintenance data report of the target vehicle in the future target time interval according to the failure rate data determined by the prediction analysis module, and generating the value evaluation result of the target vehicle according to the maintenance data report;

[0032] The feedback module is used for feeding back the maintenance data report and the value evaluation result to the user terminal.

[0033] In another aspect of the present application, a server is also provided, which includes a processor, a network interface and a memory, the processor, the network interface and the memory are connected with each other, wherein the memory is used for storing a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the above-mentioned second-hand vehicle purchase evaluation method is executed.

[0034] Another aspect of the present application also provides a system, comprising: a user terminal, and a server, the server being configured to generate maintenance data report and value evaluation result of a target vehicle by using the above-mentioned second-hand vehicle purchase evaluation method when a vehicle evaluation request is sent by the user terminal, and feed back the maintenance data report and value evaluation result to the user terminal.

[0035] The user terminal is configured to display the value evaluation result.

[0036] In another aspect of the present application, a computer storage medium is also provided, the computer storage medium storing program instructions, the program instructions being executed by at least one processor to implement the above-mentioned second-hand vehicle purchase evaluation method.

[0037] Compared with the prior art, the present application has the following advantages:

[0038] The method provided by the present application can automatically match the failure rate data of each accessory of the target vehicle in the future target time interval from the pre-established vehicle failure rate information database when receiving a vehicle evaluation request sent by the user terminal, generate a maintenance data report of the target vehicle in the target time interval according to the failure rate data of each accessory, and finally generate a value evaluation result of the target vehicle according to the maintenance data report, and present the maintenance data report and value evaluation result of the target vehicle to the user, thereby providing accurate second-hand vehicle purchase information for the user. The method uses failure rate information to accurately evaluate the vehicle, so that the user can comprehensively understand the failure information and estimated value data of the target vehicle. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 The figure is a system architecture schematic diagram of an embodiment of the present application;

[0040] Figure 2 The figure is a second-hand vehicle purchase evaluation method schematic diagram of an embodiment of the present application.

[0041] Figure 3 The figure is a second-hand vehicle purchase evaluation device architecture schematic diagram of an embodiment of the present application;

[0042] Figure 4 The figure is a server architecture schematic diagram of an embodiment of the present application. DETAILED DESCRIPTION

[0043] Following, specific, concrete examples will be used to illustrate the embodiments of the application, and those skilled in the art can easily understand other advantages and effects of the application from the disclosure of the specification. The application can also be implemented or applied by other different specific embodiments, and various modifications or changes can be made to the details in the specification based on different views and applications without departing from the spirit of the application.

[0044] Embodiment 1

[0045] Please refer to Figure 1 , Figure 1 is a structural schematic diagram of a used car purchase evaluation system provided by an embodiment of the application, comprising a user terminal and a server, wherein the server can simultaneously perform data interaction with multiple user terminals.

[0046] The user terminal can comprise a mobile phone, a tablet computer, a personal digital assistant (PDA), a mobile internet device (MID), a smart wearable device (such as a smart watch or a smart bracelet), and various terminal devices, which are not limited by the embodiments of the application.

[0047] In the embodiment, when a user wants to obtain effective information of a vehicle, the user can send a vehicle evaluation request to the server through the terminal. When the server receives the vehicle evaluation request sent by the user terminal, the server can automatically match the fault rate data of each accessory of the target vehicle in a future target time interval from the pre-established vehicle fault rate information database according to the attribute information of the target vehicle, generate a maintenance data report of the target vehicle in the target time interval according to the fault rate data of each accessory, finally generate a value evaluation result of the target vehicle according to the maintenance data report, and present the maintenance data report and the value evaluation result of the target vehicle to the user, so as to provide the user with accurate used car purchase information. The system accurately evaluates the vehicle by using the fault rate information, so that the user can comprehensively understand the fault information and the estimated value data of the target vehicle.

[0048] Embodiment 2

[0049] Please refer to Figure 2 , Figure 2 is a used car purchase evaluation method provided by an embodiment of the application, applied to a server as shown in Figure 3 , and comprising the following steps:

[0050] S201: receiving a vehicle evaluation request sent by a user terminal, wherein the vehicle evaluation request comprises attribute information of a target vehicle;

[0051] In a possible implementation, a user can enter a second-hand vehicle purchase information evaluation system (which can be understood as a related application, an application client or a webpage on the terminal) through a terminal by logging in an account to input and submit a vehicle evaluation request. A server can receive vehicle use requirements of different users, wherein the vehicle evaluation request includes attribute information of a target vehicle. Specifically, the attribute information of the target vehicle includes model information of the target vehicle and time information of the vehicle.

[0052] S202: Based on a pre-established vehicle failure rate information database, failure rate data of each accessory of the target vehicle in a future target time interval is determined according to the attribute information of the target vehicle.

[0053] In a possible implementation, the vehicle failure rate information database is pre-established by the following method: data information of a plurality of vehicles is obtained from a vehicle maintenance information platform, a vehicle enterprise and an automobile specialized shop, wherein the data information includes a vehicle model, time information, mileage information and accessory failure information; for each type of vehicle, a failure rate curve of each accessory of the vehicle is generated according to the time information, the mileage information and the accessory failure information of the vehicle; based on the vehicle model, an index is established, each accessory failure rate curve of each type of vehicle is imported into the corresponding index, and the vehicle failure rate information database is established.

[0054] In this embodiment, the data information of each type of vehicle is comprehensively collected, and then the failure rate curve of each accessory of the vehicle is accurately calculated according to the collected data information, to form an informationized vehicle failure rate information database.

[0055] Optionally, technician-generated vehicle accessory diagnosis report information and accessory repair information are obtained from the vehicle maintenance information platform, and basic data information such as a vehicle brand, a model, a displacement, an emission standard, a transmission type, a vehicle type, a seat number, import and export information and a vehicle color is obtained from the vehicle enterprise; the automobile specialized shop obtains vehicle accessory repair record information; and GPS latitude and longitude data and mileage data of the vehicle are obtained from a vehicle networking platform. After obtaining the above data information of a plurality of vehicles, the vehicles are divided into a plurality of sets according to the model (for example, Audi A6L 2018 sports model), and for a plurality of vehicles in each set, a failure rate curve of each accessory of the vehicle is calculated according to the time information, the mileage information and the accessory failure information of the vehicle. Further, based on the vehicle model, an index is established, each accessory failure rate curve of each type of vehicle is imported into the corresponding index, and the vehicle failure rate information database is established.

[0056] It can be understood that the corresponding vehicle data information will generate a large amount of new data information over time, and therefore the server in the present application will periodically obtain new data information of a plurality of vehicles from the vehicle maintenance information platform, the vehicle enterprise and the automobile specialized store according to a predetermined frequency (preferably 1 year), so as to periodically update the vehicle failure rate information database.

[0057] In a possible implementation, since various functional accessories exist in the automobile, part of the functional accessories is affected by the wear caused by time more than the wear caused by use, for example, part of the electrical elements and sensor elements, and part of the functional accessories is affected by the wear caused by use more than the wear caused by time, for example, bearing accessories under the vehicle use state are subjected to more force. Accordingly, the historical damage characteristics of each accessory of each vehicle model are analyzed in the present application, the vehicle components are divided into mileage-sensitive components and time-sensitive components according to the analysis results, for the mileage-sensitive components, the failure rate mileage distribution curve corresponding to the component is fitted by combining the vehicle mileage information and the component failure information; for the time-sensitive components, the failure rate time distribution curve corresponding to the component is fitted by combining the vehicle time information and the component failure information. Thus, the failure rate distribution curve of each component of each vehicle model is obtained accurately.

[0058] In the embodiments of the present application, the historical damage characteristics of each accessory of each vehicle model are analyzed, the vehicle components are divided into mileage-sensitive components and time-sensitive components according to the analysis results, for the mileage-sensitive components, the failure rate mileage distribution curve corresponding to the component is fitted by combining the vehicle mileage information and the component failure information; for the time-sensitive components, the failure rate time distribution curve corresponding to the component is fitted by combining the vehicle time information and the component failure information; thus, the failure rate distribution curve of each component of each vehicle model is obtained accurately by combining the damage characteristics of each accessory.

[0059] In a possible implementation, the attribute information includes the vehicle model and the production year of the target vehicle; and S202 specifically includes: obtaining the failure rate curve of each accessory of the vehicle of the model according to the model of the target vehicle in the pre-established vehicle failure rate information library; and finding, for each accessory, the failure rate data in a future target time interval according to the production year of the vehicle according to the failure rate curve of each accessory. The future target time interval can be set according to the maximum vehicle age of a certain vehicle model. For example, the target time interval is set to 1 year for a 2010 vehicle, and the target time interval is set to 3 years for a 2018 vehicle.

[0060] The embodiment of the application quickly matches the model of the target vehicle in the pre-established vehicle failure rate information library to obtain the failure rate curve of each accessory of the vehicle of the model; according to the failure rate curve of each accessory, for each accessory, the failure rate data in the future target time interval is quickly obtained according to the production year of the vehicle; the method can quickly respond to the vehicle evaluation request of the user and accurately predict the failure information of the target vehicle in the future target time interval.

[0061] Specifically, taking the vehicle attribute information sent by the user terminal and received by the server as an example: "Audi A6L 2018 sports car, production year 2018, corresponding future target time interval 3 years", first, according to the model-Audi A6L 2018 sports car in the pre-established vehicle failure rate information library of each accessory failure rate curve of the vehicle of the model, including: A accessory of the binomial distribution of the failure rate mileage distribution curve and B accessory of the Poisson distribution of the failure rate time distribution curve; according to the production year 2018 of the vehicle, the future three years of B accessory failure rate data are matched according to the time parameter from the curve of B accessory, for A accessory, the time parameter corresponding to B accessory is converted into mileage parameter, and the future three years of A accessory failure rate data are matched according to the mileage parameter, and the predicted failure rate data of each accessory is summarized as the failure rate data of the target vehicle in the future target time interval.

[0062] S203: generating maintenance data report of the target vehicle in the future target time interval according to the failure rate data;

[0063] In a possible implementation, for each accessory of the target vehicle, the maintenance cost of the accessory in the future target time interval is calculated according to the maintenance fee rule and the failure rate data of the accessory; and the maintenance data report is generated based on the maintenance cost of each accessory of the target vehicle in the future target time interval. Optionally, since the price of some accessories of the vehicle fluctuates greatly, the server will regularly (usually one month) obtain the maintenance fee rules of a plurality of vehicles from the automobile specialized shop.

[0064] The embodiment of the application obtains the maintenance fee rules of each accessory of the vehicle, calculates the maintenance cost of each accessory, and finally presents the failure rate and maintenance cost information of each accessory of the vehicle to the user in the form of a data report, and the corresponding report presents the maintenance information of each accessory of the vehicle to the user intuitively and clearly, improving the experience of the user.

[0065] S204: generating the value evaluation result of the target vehicle according to the maintenance data report, and feeding back the maintenance data report and the value evaluation result to the user terminal.

[0066] According to a possible implementation, an average discount rate of a vehicle series corresponding to the target vehicle is calculated, and an evaluation price of the target vehicle is generated according to the maintenance data report and the average discount rate. For example, a historical discount rate of an Audi A6 vehicle series is calculated, a first price evaluation price is generated according to the historical discount rate and a new vehicle sales price, and a value evaluation result of the target vehicle is generated by combining the maintenance data report of an Audi A6 2018 sports version vehicle in the target time interval, and the value evaluation result is fed back to the user terminal.

[0067] The vehicle evaluation method provided in the embodiments of the present application can provide accurate price guidance for users by comprehensively calculating the evaluation price of the vehicle according to the calculated vehicle maintenance data information and the average discount rate of the vehicle series corresponding to the target vehicle.

[0068] Figure 3 An architecture diagram of a used car purchase evaluation device provided by the embodiments of the present application is shown, the used car purchase evaluation device is applied to a server, and the evaluation device includes: a receiving module configured to receive a vehicle evaluation request sent by a user terminal, the vehicle evaluation request including attribute information of a target vehicle; a storage module configured to store a pre-established vehicle failure rate information database; a prediction analysis module configured to determine failure rate data of each accessory of the target vehicle in a future target time interval based on the pre-established vehicle failure rate information database and according to the attribute information of the target vehicle; a calculation module configured to generate a maintenance data report of the target vehicle in the future target time interval according to the failure rate data determined by the prediction analysis module, and generate a value evaluation result of the target vehicle according to the maintenance data report; and a feedback module configured to feed back the maintenance data report and the value evaluation result to the user terminal.

[0069] The used car purchase evaluation device provided by the embodiments of the present application can automatically match, from the pre-established vehicle failure rate information database, the failure rate data of each accessory of the target vehicle in the future target time interval according to the attribute information of the target vehicle when receiving the vehicle evaluation request sent by the user terminal, generate a maintenance data report of the target vehicle in the target time interval according to the failure rate data of each accessory, finally generate a value evaluation result of the target vehicle according to the maintenance data report, present the maintenance data report and the value evaluation result of the target vehicle to the user, and provide accurate used car purchase information for the user.

[0070] In a possible implementation, the used car purchase evaluation device further comprises an information collection module and a database establishment module, wherein the information collection module is configured to obtain data information of a plurality of vehicles from a vehicle maintenance information platform, a vehicle enterprise, and an automobile specialized store, wherein the data information comprises a vehicle model, time information, mileage information, and each accessory fault information; and send the data information to the database establishment module. The database establishment module is configured to receive the data information, and for each vehicle model, generate a fault rate curve of each accessory of the vehicle model according to the time information, the mileage information, and the fault information of each accessory of the vehicle model; establish an index based on the vehicle model, import the fault rate curve of each accessory of each vehicle model to the corresponding index, establish the vehicle fault rate information database, and store the vehicle fault rate information database in the storage module.

[0071] It can be understood that corresponding vehicle data information will generate a large amount of new data information over time, and therefore the information collection module in the present application will periodically obtain new data information of a plurality of vehicles from a vehicle maintenance information platform, a vehicle enterprise, and an automobile specialized store according to a predetermined frequency (preferably 1 year), so as to trigger the database establishment module to periodically update the established vehicle fault rate information database.

[0072] In a possible implementation, the database establishment module is further configured to divide vehicle accessories into mileage-sensitive accessories and time-sensitive accessories according to historical damage characteristics of each accessory of the vehicle; for the mileage-sensitive accessories, combine the vehicle mileage information and the accessory fault information to fit a fault rate mileage distribution curve corresponding to the accessories; and for the time-sensitive accessories, combine the vehicle time information and the accessory fault information to fit a fault rate time distribution curve corresponding to the accessories.

[0073] In a possible implementation, the attribute information comprises a vehicle model and a production year of the target vehicle; and the prediction analysis module is configured to: according to the model of the target vehicle, obtain a fault rate curve of each accessory of the vehicle model in the pre-established vehicle fault rate information database; and according to the fault rate curve of each accessory, for each accessory, find fault rate data corresponding to a future target time interval according to the production year of the vehicle. The future target time interval can be set according to the maximum age of a vehicle of a certain model. For example, the target time interval is set to 1 year for a 2010 model vehicle, and the target time interval is set to 3 years for a 2018 model vehicle.

[0074] In one possible implementation, the information collection module is further configured to periodically acquire the maintenance billing rules for vehicle parts from car dealerships. Accordingly, the calculation module can calculate the maintenance cost of each part of the target vehicle within a future target time period, based on the part's maintenance billing rules and failure rate data; and generate the maintenance data report based on the maintenance costs of each part of the target vehicle within the future target time period.

[0075] According to one possible implementation, the information collection module is further configured to: periodically acquire market price feedback for each target vehicle series; based on this, the calculation module can calculate the average depreciation rate of the corresponding vehicle series for the target vehicle based on the market price feedback, and generate an appraised price for the target vehicle based on the maintenance data report and the average depreciation rate. For example, the historical depreciation rate of the Audi A6 series is calculated, using the new car sales price, a first price appraisal price is generated based on the historical depreciation rate, and then combined with the calculated maintenance data report of the 2018 Audi A6 Sport model within the target time period, a comprehensive value appraisal result for the target vehicle is generated, and the value appraisal result is fed back to the user terminal.

[0076] In another aspect of the invention, a server is also provided, such as Figure 4 As shown, the server includes a processor, a network interface, and a memory, which are interconnected. The memory stores a computer program, which includes program instructions. The processor is configured to call the program instructions to execute the aforementioned used car purchase evaluation method.

[0077] In embodiments of the present invention, the processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0078] The disclosed methods, steps, and logic block diagrams in the embodiments of the present application can be implemented or executed by using a general-purpose processor, a special-purpose processor, or any other processor. The steps of the methods disclosed in the embodiments of the present application can be directly embodied as a hardware code executed by a processor, or a combination of hardware and software modules in the processor. The software modules can be located in a storage medium such as a random access memory (RAM), a flash memory, a read-only memory (ROM), a programmable read-only memory (PROM), an electrically programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a register, or any other storage medium in the art. The processor reads information in the storage medium and combines the information with hardware to implement the steps of the above methods.

[0079] In another aspect of the present application, a computer storage medium is provided, which stores program instructions. When executed by at least one processor, the program instructions implement the above method for evaluating a used car purchase.

[0080] In one possible implementation, the storage medium can be a memory, such as a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0081] The non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically EPROM (EEPROM), or a flash memory.

[0082] The volatile memory can be a random access memory (RAM) used as an external cache. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM). The RAM can have a memory controller that provides an external cache to speed up the use of information in the RAM. Typically, the more extensive the cache, the faster the overall system since the cache can provide a lower latency time, meaning that the processor does not have to wait as long to get data from the memory.

[0083] The storage medium described in the embodiments of the present application is intended to include, but not limited to, these and any other suitable types of memories.

[0084] It should be understood that the system disclosed by the present application can be implemented in other ways. For example, the division of the modules is only a logical function division, and actual implementation can have another division manner, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the communication connection between the modules can be indirect coupling or communication connection through some interfaces, servers or units, which can be electrical or other forms.

[0085] In addition, each functional module in each embodiment of the present application can be integrated in one processing unit, or each module can be physically present alone, or two or more modules can be integrated in one processing unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0086] When the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the present application that essentially contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

Claims

1. A method for evaluating the purchase of used cars, characterized in that, Includes the following steps: The system receives a vehicle evaluation request from a user terminal. The vehicle evaluation request includes: attribute information of the target vehicle, including the model information and time information of the target vehicle. Based on a pre-established vehicle failure rate information database, and according to the attribute information of the target vehicle, the failure rate data of each component of the target vehicle in the future target time interval are determined. Based on the failure rate data, generate a maintenance data report for the target vehicle within the future target time interval; The value assessment result of the target vehicle is generated based on the maintenance data report, and the maintenance data report and the value assessment result are fed back to the user terminal; The vehicle failure rate information database is pre-established through the following steps: The system obtains diagnostic reports and repair information for various vehicle parts generated by technicians from the vehicle maintenance information platform; it also obtains basic data information such as vehicle brand, model, engine displacement, emission standard, transmission type, vehicle type, number of seats, import / export information, and vehicle color from car manufacturers; it obtains repair records for various vehicle parts from car dealerships; and it obtains GPS latitude and longitude data and mileage data for the vehicle from the vehicle networking platform. For each vehicle model, a failure rate curve for each component is generated based on the vehicle's time information, mileage information, and component failure information. An index is created based on the vehicle model, and the failure rate curves of each component for each vehicle model are imported into the corresponding index to establish the vehicle failure rate information database. The process of generating failure rate curves for each component of the vehicle model based on time information, mileage information, and failure information of each component includes: The historical damage characteristics of various vehicle parts are analyzed. Based on the analysis results, the vehicle parts are divided into mileage-sensitive parts and time-sensitive parts. Parts whose wear caused by use is greater than that caused by time are mileage-sensitive parts, and parts whose wear caused by time is greater than that caused by use are time-sensitive parts. For the mileage-sensitive component, the failure rate mileage distribution curve corresponding to the component is obtained by fitting the vehicle mileage information and the component failure information. For the time-sensitive component, the failure rate time distribution curve corresponding to the component is obtained by fitting the vehicle time information and the component failure information. The attribute information includes the vehicle model and production year of the target vehicle; determining the failure rate data of each component of the target vehicle within a future target time interval based on the attribute information of the target vehicle includes: Based on the model of the target vehicle, obtain the failure rate curves of each component of that model vehicle from the pre-established vehicle failure rate information database; Based on the failure rate curves of each component, for each component, the failure rate data within the corresponding future target time interval is found according to the vehicle's production year; wherein, the future target time interval is set according to the maximum age of a certain model of vehicle, the larger the maximum age, the shorter the future target time interval.

2. The used car purchase evaluation method as described in claim 1, characterized in that, The generation of maintenance data reports for the target vehicle within the target future time interval includes: For each component of the target vehicle, calculate the maintenance cost of that component within the target time period based on the component's maintenance billing rules and failure rate data; The maintenance data report is generated based on the maintenance costs of each component of the target vehicle within a future target time period.

3. The used car purchase evaluation method as described in claim 1, characterized in that, The value assessment results of the target vehicle are generated based on the maintenance data report, including: The average discount rate for the target vehicle's corresponding model series is calculated. The appraised price of the vehicle to be appraised is generated based on the maintenance data report and the average depreciation rate.

4. A used car purchase evaluation device, characterized in that, The device includes: The receiving module is used to receive a vehicle evaluation request sent by a user terminal. The vehicle evaluation request includes: attribute information of the target vehicle, including the model information of the target vehicle and the time information of the vehicle. The storage module is used to store a pre-established database of vehicle failure rate information; The predictive analysis module is used to determine the failure rate data of each component of the target vehicle in a future target time interval based on the pre-established vehicle failure rate information database and the attribute information of the target vehicle. The calculation module is used to calculate and generate a maintenance data report of the target vehicle within the future target time interval based on the failure rate data determined by the predictive analysis module, and to generate a value assessment result of the target vehicle based on the maintenance data report. The feedback module is used to feed back the maintenance data report and value assessment results to the user terminal; The information collection module is used to obtain diagnostic reports and repair information of various vehicle parts generated by technicians from the vehicle maintenance information platform, obtain basic data information of vehicle brand, model, displacement, emission standard, transmission type, vehicle type, number of seats, import and export information and vehicle color from car manufacturers, obtain repair record information of various vehicle parts from car dealerships, and obtain GPS latitude and longitude data and mileage data of the vehicle from the vehicle networking platform. The database creation module is used to generate a failure rate curve for each part of a vehicle model based on the vehicle's time information, mileage information, and failure information of each part; and to create an index based on the vehicle model, importing the failure rate curves of each part of each vehicle model into the corresponding index to create the vehicle failure rate information database. The process of generating failure rate curves for each component of a vehicle model based on its time information, mileage information, and component failure information includes: analyzing the historical damage characteristics of each component; classifying vehicle components into mileage-sensitive and time-sensitive components based on the analysis results; wherein components whose wear due to use is greater than that due to time are mileage-sensitive components, and components whose wear due to time is greater than that due to use are time-sensitive components; for mileage-sensitive components, fitting the vehicle mileage information and component failure information to obtain a failure rate mileage distribution curve; and for time-sensitive components, fitting the vehicle time information and component failure information to obtain a failure rate time distribution curve. The attribute information includes the vehicle model and production year of the target vehicle; determining the failure rate data of each component of the target vehicle within a future target time interval based on the attribute information of the target vehicle includes: obtaining the failure rate curve of each component of the target vehicle model from a pre-established vehicle failure rate information database; and finding the corresponding failure rate data within a future target time interval for each component based on the failure rate curve of each component and the production year of the vehicle; wherein, the future target time interval is set based on the maximum age of a certain vehicle model, and the larger the maximum age, the shorter the future target time interval.

5. A server, characterized in that, The device includes a processor, a network interface, and a memory, which are interconnected. The memory stores a computer program, which includes program instructions. The processor is configured to invoke the program instructions to execute the used car purchase evaluation method as described in any one of claims 1-3.

6. A system, characterized in that, include: The user terminal and the server are configured to generate a maintenance data report and a value assessment result of the target vehicle using the used car purchase assessment method as described in any one of claims 1-3 when the user terminal sends a vehicle assessment request, and to feed back the maintenance data report and the value assessment result to the user terminal. The user terminal is used to display maintenance data reports and value assessment results fed back by the server.

7. A computer storage medium, characterized in that, The computer storage medium stores program instructions, which, when executed by at least one processor, are used to implement the used car purchase evaluation method as described in any one of claims 1-3.

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