Second-hand automobile value analysis method based on automobile data model

Abstract

The invention discloses a second-hand automobile value analysis method based on an automobile data model, relates to the field of second-hand automobiles, and solves the problem that misleading and deviation are easily caused when the price of a second-hand automobile is quoted when being recycled by a second-hand automobile dealer. The method specifically comprises the following steps: constructing an automobile data model of the second-hand automobile based on second-hand automobile data; the user uploads the vehicle certification data of the second-hand automobile, and the second-hand automobile merchant obtains the vehicle detection data of the corresponding second-hand automobile and uploads the vehicle detection data; obtaining a vehicle sales coefficient of the second-hand automobile according to the automobile model; in combination with the vehicle certification data and the vehicle detection data, analyzing the vehicle value of the second-hand vehicle based on the vehicle data model, and analyzing to obtain an estimated vehicle price of the second-hand vehicle; the user compares the pre-estimated vehicle price with the second-hand transaction price of the second-hand vehicle of the same type, a selling agreement signal or a selling refusal signal is generated through comparison, and accurate analysis of the second-hand vehicle price is achieved in combination with the vehicle data model.

Description

Technical Field

[0001] The invention belongs to the technical field of vehicle value analysis, and in particular is a second-hand car value analysis method based on a car data model. Background Art

[0002] A used car is a motor vehicle that has been in service for a long time after registration but before reaching the scrap standard or within the economic and practical lifespan and can still be used. The cheap price is the biggest selling point of used cars. With the same money as buying a new car, you can buy a used car of a higher grade. Therefore, from the perspective of reducing the cost of buying a car, it is a wiser choice for the general public to buy a used car.

[0003] In the current used car trading market, the price of a used car is usually quoted by the used car dealer when the used car is recycled. This quotation method is highly misleading and biased, making it impossible for the seller of the used car to obtain a satisfactory selling price. Therefore, the present invention proposes a used car value analysis method based on a car data model. Summary of the invention

[0004] The purpose of the present invention is to propose a second-hand car value analysis method based on a car data model to solve the problem that the price of second-hand cars proposed in the above background technology is usually quoted by second-hand car dealers when they are recycled, and this quotation method is highly misleading and biased.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A second-hand car value analysis method based on a car data model, the second-hand car value analysis method is as follows:

[0007] Step S101, acquiring second-hand car data of different models, and building a second-hand car data model based on the second-hand car data;

[0008] Step S102, the user uploads the vehicle certification data of the used car, and the used car dealer obtains the vehicle inspection data of the corresponding used car and uploads the vehicle inspection data;

[0009] Step S103, obtaining the vehicle sales coefficient of the second-hand car according to the vehicle model;

[0010] Step S104, combining the vehicle certification data and the vehicle inspection data and analyzing the vehicle value of the second-hand car based on the car data model to obtain an estimated vehicle price of the second-hand car;

[0011] In step S105 , the user compares the estimated vehicle price with the second-hand transaction price of a second-hand vehicle of the same model, and generates a signal of approval to sell or a signal of rejection to sell.

[0012] Furthermore, the used car data is the selling price of used cars of different models at different usage times and in different vehicle conditions, and the vehicle condition refers to the number of repairs and mileage of the used cars.

[0013] Furthermore, the construction process of the automobile data model in step S101 is specifically as follows:

[0014] Step S1011, preliminarily classifying the used cars according to their models to obtain a plurality of model sets;

[0015] Step S1012, dividing the vehicle model set by the usage duration, and dividing the vehicle model set into a first duration set, a second duration set, and a third duration set;

[0016] Step S1013, obtaining the number of repairs of the used cars in the first time-length set, and dividing the first time-length set into a first preliminary repair set, a first intermediate repair set, and a first deep repair set according to the number of repairs;

[0017] Similarly, the second duration set is divided into a second preliminary maintenance set, a second intermediate maintenance set, and a second deep maintenance set, and the third duration set is divided into a third preliminary maintenance set, a third intermediate maintenance set, and a third deep maintenance set;

[0018] Step S1014, obtaining the mileage of the used cars in the first preliminary maintenance set, and dividing the first preliminary maintenance set into a first preliminary maintenance short mileage set, a first preliminary maintenance medium mileage set, and a first preliminary maintenance long mileage set according to the mileage;

[0019] Similarly, the second preliminary maintenance set is divided into a second preliminary maintenance short mileage set, a second preliminary maintenance medium mileage set, and a second preliminary maintenance long mileage set, and the third preliminary maintenance set is divided into a third preliminary maintenance short mileage set, a third preliminary maintenance medium mileage set, and a third preliminary maintenance long mileage set;

[0020] Step S1015, obtaining the selling prices of the used cars in the first preliminary maintenance short mileage set, obtaining the highest selling price and the lowest selling price of the used cars in the first preliminary maintenance short mileage set after traversal and comparison, and constructing the selling price range corresponding to the used cars in the first preliminary maintenance short mileage set with the lowest selling price as the left endpoint and the highest selling price as the right endpoint;

[0021] Similarly, the selling price ranges corresponding to the second-hand cars in the first preliminary maintenance medium mileage set, the first preliminary maintenance long mileage set, the second preliminary maintenance short mileage set, the second preliminary maintenance medium mileage set, the second preliminary maintenance long mileage set, the third preliminary maintenance short mileage set, the third preliminary maintenance medium mileage set and the third preliminary maintenance long mileage set are obtained in sequence;

[0022] Step S1016, summarizes the selling price ranges corresponding to the used cars in the first preliminary maintenance short mileage set, the first preliminary maintenance medium mileage set, the first preliminary maintenance long mileage set, the second preliminary maintenance short mileage set, the second preliminary maintenance medium mileage set, the second preliminary maintenance long mileage set, the third preliminary maintenance short mileage set, the third preliminary maintenance medium mileage set and the third preliminary maintenance long mileage set into the same data packet, which is the car data model of the used cars.

[0023] Furthermore, the process of obtaining the vehicle sales coefficient in step S103 is specifically as follows:

[0024] Step S1031, obtaining the total sales volume of new cars in the previous month, and obtaining the monthly sales volume of used cars corresponding to new cars according to the car model;

[0025] Step S1032, comparing the monthly sales volume with the total new car sales volume to obtain the sales proportion of the new car corresponding to the model in the previous month;

[0026] Step S1033, obtaining the vehicle sales coefficient of the second-hand car corresponding to the model according to the sales proportion.

[0027] Furthermore, the corresponding relationship between the sales proportion and the vehicle best-selling coefficient is as follows:

[0028] If [X1, X2), then the vehicle sales coefficient corresponding to the second-hand car is α1;

[0029] If [X2, X3), then the vehicle sales coefficient corresponding to the second-hand car is α2;

[0030] If [X3, X4), then the vehicle sales coefficient of the corresponding second-hand car is α3; among them, X1<X2<X3<X4, α1<α2<α3.

[0031] Furthermore, the vehicle certification data includes the model and registration time of the used car, and the vehicle inspection data includes the mileage and maintenance times of the used car.

[0032] Furthermore, the analysis process of the vehicle value in step S104 is specifically as follows:

[0033] Step S1041, obtaining the model and registration time of the second-hand car, and subtracting the registration time from the current time to obtain the usage time of the second-hand car;

[0034] Step S1042, obtaining the mileage and maintenance times of the used car;

[0035] Step S1043, substituting the vehicle model, usage time, mileage and number of repairs into the vehicle data model to obtain the corresponding selling price range of the second-hand vehicle;

[0036] Step S1044, obtaining a vehicle sales coefficient corresponding to a used car according to the car model;

[0037] Step S1045, multiplying the vehicle sales coefficient by the left end point and the right end point of the selling price range respectively to obtain the estimated selling price range of the used car;

[0038] Step S1046, taking the left endpoint of the estimated selling price range as the estimated vehicle price corresponding to the used car.

[0039] Furthermore, the comparison process of step S105 is specifically as follows:

[0040] Step S1051, obtaining the vehicle transaction price of the corresponding second-hand car of the same model and condition in the previous month;

[0041] Step S1052, adding and averaging the vehicle transaction prices of multiple second-hand cars to obtain the second-hand transaction price of the corresponding second-hand car of the same model and condition;

[0042] Step S1053, comparing the estimated vehicle price with the second-hand transaction price;

[0043] Step S1054: if the estimated vehicle price is greater than or equal to the second-hand transaction price, a signal for agreeing to sell is generated; if the estimated vehicle price is less than the second-hand transaction price, a signal for rejecting the sale is generated.

[0044] In a second aspect, a computer device is provided, the computer device comprising:

[0045] A memory storing a computer program;

[0046] A processor is communicatively connected to the memory, and when the computer program is executed by the processor, a method for analyzing the value of a used car is implemented.

[0047] In a third aspect, a computer-readable storage medium stores a computer program, which implements a used car value analysis method when executed by a processor.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] The present invention first constructs a car data model for used cars, and obtains the vehicle sales coefficient of used cars according to the car model. Then, the vehicle value of the used cars is analyzed through the car data model in combination with the vehicle certification data and the vehicle detection data. The estimated vehicle price of the used cars is obtained through the analysis. The user compares the estimated vehicle price with the second-hand transaction price of the same model of used cars, and the comparison generates a signal of agreeing to sell or a signal of rejecting the sale. The present invention realizes accurate analysis of the price of used cars based on the car data model. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0051] Figure 1 is a flow chart of the method of the present invention;

[0052] Figure 2 It is a connection schematic diagram of the present invention;

[0053] Figure 3 It is a schematic diagram of the structure of the computer device in the present invention. DETAILED DESCRIPTION

[0054] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] Embodiment 1:

[0056] See also Figure 1-Figure 2 As shown, the technical solution provided by the present invention is: a second-hand car value analysis method based on a car data model, which is used to solve the problem that there is an error in the price of a second-hand car when it is sold, resulting in the seller being unable to obtain a satisfactory selling price;

[0057] In an embodiment, the second-hand car value analysis method is specifically as follows:

[0058] Step S101, acquiring second-hand car data of different models, and building a second-hand car data model based on the second-hand car data;

[0059] It should be specifically explained that, in practice, second-hand car data can be obtained through a database. The second-hand car data refers to the selling prices of second-hand cars of different models at different usage times and in different vehicle conditions. The vehicle condition refers to the number of repairs and mileage of the second-hand car. In this embodiment, only the above example parameters appear for reference.

[0060] In this embodiment, the construction process of the automobile data model in step S101 is specifically as follows:

[0061] Step S1011, preliminarily classifying the used cars according to their models to obtain a plurality of model sets;

[0062] Step S1012, dividing the vehicle model set by the usage duration, and dividing the vehicle model set into a first duration set, a second duration set, and a third duration set; wherein the first duration is zero days to one year, the second duration is one year to five years, and the third duration is five years or more;

[0063] Step S1013, obtaining the number of repairs of the used cars in the first time-length set, and dividing the first time-length set into a first preliminary repair set, a first medium repair set, and a first deep repair set according to the number of repairs; wherein 0-2 repairs are divided into one set, 3-5 repairs are divided into one set, and more than 5 repairs are divided into one set;

[0064] Similarly, the second duration set is divided into a second preliminary maintenance set, a second intermediate maintenance set, and a second deep maintenance set, and the third duration set is divided into a third preliminary maintenance set, a third intermediate maintenance set, and a third deep maintenance set;

[0065] Step S1014, obtaining the mileage of the used cars in the first preliminary maintenance set, and dividing the first preliminary maintenance set into a first preliminary maintenance short mileage set, a first preliminary maintenance medium mileage set, and a first preliminary maintenance long mileage set according to the mileage; wherein, the mileage below 5000 km is short mileage, the mileage between 5000 km and 80000 km is medium mileage, and the mileage above 80000 km is long mileage;

[0066] Similarly, the second preliminary maintenance set is divided into a second preliminary maintenance short mileage set, a second preliminary maintenance medium mileage set, and a second preliminary maintenance long mileage set, and the third preliminary maintenance set is divided into a third preliminary maintenance short mileage set, a third preliminary maintenance medium mileage set, and a third preliminary maintenance long mileage set;

[0067] Step S1015, obtaining the selling prices of the used cars in the first preliminary maintenance short mileage set, obtaining the highest selling price and the lowest selling price of the used cars in the first preliminary maintenance short mileage set after traversal and comparison, and constructing the selling price range corresponding to the used cars in the first preliminary maintenance short mileage set with the lowest selling price as the left endpoint and the highest selling price as the right endpoint;

[0068] Similarly, the selling price ranges corresponding to the second-hand cars in the first preliminary maintenance medium mileage set, the first preliminary maintenance long mileage set, the second preliminary maintenance short mileage set, the second preliminary maintenance medium mileage set, the second preliminary maintenance long mileage set, the third preliminary maintenance short mileage set, the third preliminary maintenance medium mileage set and the third preliminary maintenance long mileage set are obtained in sequence;

[0069] Step S1016, summarizes the selling price ranges corresponding to the used cars in the first preliminary maintenance short mileage set, the first preliminary maintenance medium mileage set, the first preliminary maintenance long mileage set, the second preliminary maintenance short mileage set, the second preliminary maintenance medium mileage set, the second preliminary maintenance long mileage set, the third preliminary maintenance short mileage set, the third preliminary maintenance medium mileage set and the third preliminary maintenance long mileage set into the same data packet, which is the car data model of the used cars.

[0070] Step S102, the user uploads the vehicle certification data of the used car, and the used car dealer obtains the vehicle inspection data of the corresponding used car and uploads the vehicle inspection data;

[0071] It should be noted that the actual data can be uploaded through user terminals held by users and second-hand car dealers. The vehicle certification data includes the model of the second-hand car and the registration time of the car. The vehicle inspection data includes the mileage of the second-hand car, the number of parts replaced, the number of repairs and the maintenance time of each repair, etc. The maintenance time can be obtained through the maintenance record of the second-hand car.

[0072] Step S103, obtaining the vehicle sales coefficient of the second-hand car according to the vehicle model;

[0073] In this embodiment, the process of obtaining the vehicle sales coefficient in step S103 is as follows:

[0074] Step S1031, obtaining the total sales volume of new cars in the previous month, and obtaining the monthly sales volume of used cars corresponding to new cars according to the car model;

[0075] Step S1032, comparing the monthly sales volume with the total new car sales volume to obtain the sales proportion of the new car corresponding to the model in the previous month;

[0076] Step S1033, obtaining the vehicle best-selling coefficient of the second-hand car corresponding to the model according to the sales proportion, and the corresponding relationship between the sales proportion and the vehicle best-selling coefficient is as follows:

[0077] If [X1, X2), then the vehicle sales coefficient corresponding to the second-hand car is α1;

[0078] If [X2, X3), then the vehicle sales coefficient corresponding to the second-hand car is α2;

[0079] If [X3, X4), then the vehicle sales coefficient of the corresponding second-hand car is α3; where X1<X2<X3<X4, α1<α2<α3;

[0080] Practically, the value of X1 can be 1%, the value of X2 can be 2%, the value of X3 can be 3%, the value of X4 can be 4%, the value of α1 can be 90%, the value of α2 can be 93%, and the value of α3 can be 96%. The above specific values ​​of X1, X2, X3 and X4 are for example purposes to facilitate understanding.

[0081] Step S104, combining the vehicle certification data and the vehicle inspection data and analyzing the vehicle value of the second-hand car based on the car data model to obtain an estimated vehicle price of the second-hand car;

[0082] In this embodiment, the actual, estimated vehicle price of a used car can be analyzed by the server;

[0083] Specifically, the analysis process of the vehicle value in step S104 is as follows:

[0084] Step S1041, obtaining the model and registration time of the second-hand car, and subtracting the registration time from the current time to obtain the usage time of the second-hand car;

[0085] Step S1042, obtaining the mileage and maintenance times of the used car;

[0086] Step S1043, substituting the vehicle model, usage time, mileage and number of repairs into the vehicle data model to obtain the corresponding selling price range of the second-hand vehicle;

[0087] Step S1044, obtaining a vehicle sales coefficient corresponding to a used car according to the car model;

[0088] Step S1045, multiplying the vehicle sales coefficient by the left end point and the right end point of the selling price range respectively to obtain the estimated selling price range of the used car;

[0089] Step S1046, taking the left endpoint of the estimated selling price range as the estimated vehicle price corresponding to the used car.

[0090] Step S105, the user compares the estimated vehicle price with the second-hand transaction price of the same model of second-hand car, and generates a signal of approval or rejection of sale;

[0091] In this embodiment, the comparison process of step S105 is specifically as follows:

[0092] Step S1051, obtaining the vehicle transaction price of the corresponding second-hand car of the same model and condition in the previous month;

[0093] Step S1052, adding and averaging the vehicle transaction prices of multiple second-hand cars to obtain the second-hand transaction price of the corresponding second-hand car of the same model and condition;

[0094] Step S1053, comparing the estimated vehicle price with the second-hand transaction price;

[0095] Step S1054: if the estimated vehicle price is greater than or equal to the second-hand transaction price, a signal for agreeing to sell is generated; if the estimated vehicle price is less than the second-hand transaction price, a signal for rejecting the sale is generated.

[0096] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0097] Embodiment 2:

[0098] Figure 3 The structural diagram of a computer device is illustrated, and the computer device may include: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus. The processor may call the logic instructions in the memory to execute a second-hand car value analysis method based on a car data model, and the method includes: obtaining second-hand car data of different models, and constructing a second-hand car data model based on the second-hand car data; the user uploads the vehicle certification data of the second-hand car, and the second-hand car dealer obtains the vehicle inspection data of the corresponding second-hand car and uploads the vehicle inspection data; the vehicle sales coefficient of the second-hand car is obtained according to the model; the vehicle certification data and the vehicle inspection data are combined, and the vehicle value of the second-hand car is analyzed based on the car data model to obtain the estimated vehicle price of the second-hand car; the user compares the estimated vehicle price with the second-hand transaction price of the second-hand car of the same model, and the comparison generates a signal of consent to sell or a signal of refusal to sell.

[0099] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0100] Embodiment 3: The present application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a second-hand car value analysis method based on a car data model provided by the above methods, the method including: obtaining second-hand car data of different models, and constructing a second-hand car data model based on the second-hand car data; the user uploads the vehicle certification data of the second-hand car, the second-hand car dealer obtains the vehicle inspection data of the corresponding second-hand car, and uploads the vehicle inspection data; the vehicle sales coefficient of the second-hand car is obtained according to the model; the vehicle certification data and the vehicle inspection data are combined, and the vehicle value of the second-hand car is analyzed based on the car data model to obtain an estimated vehicle price of the second-hand car; the user compares the estimated vehicle price with the second-hand transaction price of the second-hand car of the same model, and the comparison generates a signal of consent to sell or a signal of refusal to sell.

[0101] Embodiment 4: The present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute a second-hand car value analysis method based on a car data model provided above, the method comprising: obtaining second-hand car data of different models, and constructing a second-hand car data model based on the second-hand car data; a user uploads vehicle certification data of a second-hand car, and a second-hand car dealer obtains vehicle inspection data of the corresponding second-hand car and uploads the vehicle inspection data; a vehicle sales coefficient of the second-hand car is obtained based on the model; the vehicle certification data and the vehicle inspection data are combined, and the vehicle value of the second-hand car is analyzed based on the car data model to obtain an estimated vehicle price of the second-hand car; the user compares the estimated vehicle price with the second-hand transaction price of a second-hand car of the same model, and the comparison generates a signal of consent to sell or a signal of refusal to sell.

[0102] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0103] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A second-hand car value analysis method based on a car data model, characterized in that: The specific method of second-hand car value analysis is as follows: Step S101, acquiring second-hand car data of different models, and building a second-hand car data model based on the second-hand car data; Step S102, the user uploads the vehicle certification data of the used car, and the used car dealer obtains the vehicle inspection data of the corresponding used car and uploads the vehicle inspection data; Step S103, obtaining the vehicle sales coefficient of the second-hand car according to the vehicle model; Step S104, combining the vehicle certification data and the vehicle inspection data and analyzing the vehicle value of the second-hand car based on the car data model to obtain an estimated vehicle price of the second-hand car; In step S105 , the user compares the estimated vehicle price with the second-hand transaction price of a second-hand vehicle of the same model, and generates a signal of approval to sell or a signal of rejection to sell.

2. A second-hand car value analysis method based on a car data model according to claim 1, characterized in that: The used car data refers to the selling prices of used cars of different models at different usage times and in different vehicle conditions. The vehicle condition refers to the number of repairs and mileage of the used cars.

3. The method for analyzing the value of a used car based on a car data model according to claim 2, characterized in that: The construction process of the automobile data model in step S101 is specifically as follows: Step S1011, preliminarily classifying the used cars according to their models to obtain a plurality of model sets; Step S1012, dividing the vehicle model set by the usage duration, and dividing the vehicle model set into a first duration set, a second duration set, and a third duration set; Step S1013, obtaining the number of repairs of the used cars in the first time-length set, and dividing the first time-length set into a first preliminary repair set, a first intermediate repair set, and a first deep repair set according to the number of repairs; Similarly, the second duration set is divided into a second preliminary maintenance set, a second intermediate maintenance set, and a second deep maintenance set, and the third duration set is divided into a third preliminary maintenance set, a third intermediate maintenance set, and a third deep maintenance set; Step S1014, obtaining the mileage of the used cars in the first preliminary maintenance set, and dividing the first preliminary maintenance set into a first preliminary maintenance short mileage set, a first preliminary maintenance medium mileage set, and a first preliminary maintenance long mileage set according to the mileage; Similarly, the second preliminary maintenance set is divided into a second preliminary maintenance short mileage set, a second preliminary maintenance medium mileage set, and a second preliminary maintenance long mileage set, and the third preliminary maintenance set is divided into a third preliminary maintenance short mileage set, a third preliminary maintenance medium mileage set, and a third preliminary maintenance long mileage set; Step S1015, obtaining the selling prices of the used cars in the first preliminary maintenance short mileage set, obtaining the highest selling price and the lowest selling price of the used cars in the first preliminary maintenance short mileage set after traversal and comparison, and constructing the selling price range corresponding to the used cars in the first preliminary maintenance short mileage set with the lowest selling price as the left endpoint and the highest selling price as the right endpoint; Similarly, the selling price ranges corresponding to the second-hand cars in the first preliminary maintenance medium mileage set, the first preliminary maintenance long mileage set, the second preliminary maintenance short mileage set, the second preliminary maintenance medium mileage set, the second preliminary maintenance long mileage set, the third preliminary maintenance short mileage set, the third preliminary maintenance medium mileage set and the third preliminary maintenance long mileage set are obtained in sequence; Step S1016, summarizes the selling price ranges corresponding to the used cars in the first preliminary maintenance short mileage set, the first preliminary maintenance medium mileage set, the first preliminary maintenance long mileage set, the second preliminary maintenance short mileage set, the second preliminary maintenance medium mileage set, the second preliminary maintenance long mileage set, the third preliminary maintenance short mileage set, the third preliminary maintenance medium mileage set and the third preliminary maintenance long mileage set into the same data packet, which is the car data model of the used cars.

4. The method for analyzing the value of a used car based on a car data model according to claim 1, characterized in that: The process of obtaining the vehicle sales coefficient in step S103 is specifically as follows: Step S1031, obtaining the total sales volume of new cars in the previous month, and obtaining the monthly sales volume of used cars corresponding to new cars according to the car model; Step S1032, comparing the monthly sales volume with the total new car sales volume to obtain the sales proportion of the new car corresponding to the model in the previous month; Step S1033, obtaining the vehicle sales coefficient of the second-hand car corresponding to the model according to the sales proportion.

5. The method for analyzing the value of a used car based on a car data model according to claim 4, characterized in that: The corresponding relationship between the sales proportion and the vehicle best-selling coefficient is as follows: If [X1, X2), then the vehicle sales coefficient corresponding to the second-hand car is α1; If [X2, X3), then the vehicle sales coefficient corresponding to the second-hand car is α2; If [X3, X4], then the corresponding vehicle sales coefficient of used cars is α3; among them, X1<X2<X3<X4, α1<α2<α3.

6. A second-hand car value analysis method based on a car data model according to claim 4, characterized in that: The vehicle certification data include the model and registration time of the used car, and the vehicle inspection data include the mileage and number of repairs of the used car.

7. A second-hand car value analysis method based on a car data model according to claim 6, characterized in that: The analysis process of the vehicle value in step S104 is specifically as follows: Step S1041, obtaining the model and registration time of the second-hand car, and subtracting the registration time from the current time to obtain the usage time of the second-hand car; Step S1042, obtaining the mileage and maintenance times of the used car; Step S1043, substituting the vehicle model, usage time, mileage and number of repairs into the vehicle data model to obtain the corresponding selling price range of the second-hand vehicle; Step S1044, obtaining a vehicle sales coefficient corresponding to a used car according to the car model; Step S1045, multiplying the vehicle sales coefficient by the left end point and the right end point of the selling price range respectively to obtain the estimated selling price range of the used car; Step S1046, taking the left endpoint of the estimated selling price range as the estimated vehicle price corresponding to the used car.

8. A second-hand car value analysis method based on a car data model according to claim 7, characterized in that: The comparison process of step S105 is specifically as follows: Step S1051, obtaining the vehicle transaction price of the corresponding second-hand car of the same model and condition in the previous month; Step S1052, adding and averaging the vehicle transaction prices of multiple second-hand cars to obtain the second-hand transaction price of the corresponding second-hand car of the same model and condition; Step S1053, comparing the estimated vehicle price with the second-hand transaction price; Step S1054: if the estimated vehicle price is greater than or equal to the second-hand transaction price, a signal for agreeing to sell is generated; if the estimated vehicle price is less than the second-hand transaction price, a signal for rejecting the sale is generated.

9. A computer device, characterized in that: The computer device comprises: A memory storing a computer program; A processor is communicatively connected to the memory, and when the computer program is executed by the processor, the second-hand car value analysis method described in any one of claims 1-8 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the used car value analysis method described in any one of claims 1 to 8 is implemented.

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