Vehicle evaluation management method and system for vehicle condition loss assessment

Abstract

The invention provides a vehicle evaluation management method and system for vehicle condition loss assessment, and the method comprises the steps: obtaining the vehicle basic information and vehicle damage information of a target vehicle, constructing a plurality of vehicle loss assessment dimensions of the target vehicle, and generating a part composition structure of the target vehicle, inputting the vehicle basic information and the vehicle damage information into the part composition structure for function test to obtain part performance characteristics corresponding to each vehicle part in the target vehicle, constructing actual vehicle condition information of the target vehicle based on the part performance characteristics, deducing a plurality of vehicle performance characteristics of the target vehicle by using the actual vehicle condition information, and determining the vehicle damage information of the target vehicle according to the vehicle performance characteristics. The target vehicle is evaluated step by step based on the vehicle performance characteristics, the market balance selling price range of the target vehicle is determined and displayed, the second-hand vehicle can be priced according to the vehicle condition and the market floating price of the vehicle, the stability of the market can be maintained, and consumers can buy the second-hand vehicle at ease.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle transactions, and particularly to a vehicle valuation management method and system for vehicle condition damage assessment. Background Art

[0002] As a non-standard product, in the entire industrial chain of used cars, whether it is offline purchase and sales business or online e-commerce business, the most crucial thing is the vehicle condition determination. Only with the premise of vehicle condition determination can it be upgraded, expanded, and industrially integrated through the Internet form, exerting a better Internet effect, and being more conducive to relevant industrial chain enterprises to manage vehicle condition risks and price risks. Currently, the used car market is still a market with information asymmetry. Consumers are difficult to obtain used car transaction information. As a result, the used car market is difficult to gain the trust of consumers, and many potential used car demands are difficult to be transformed into real market demands. In actual used car transactions, ordinary car consumers do not have professional automotive knowledge, and the vehicle price is generally evaluated by used car operating companies. The evaluation income is not decoupled from the evaluation price, making it difficult to ensure the fairness of the evaluation. Moreover, there are more than 100,000 types of domestic commercial vehicles and passenger vehicles. Even professional personnel are difficult to master the technical conditions of all vehicle types. Therefore, in actual work, the evaluation is relatively arbitrary, and it is difficult to ensure the accuracy of automotive transaction information collection. In addition, the transaction prices in the new car and used car markets are updated very quickly. It is difficult to collect complete, timely, and accurate market information only relying on the limited energy of individual evaluators.

[0003] Moreover, traditional used car pricing is generally based on vehicle factors for pricing. Vehicle factors include static information such as brand, vehicle series, vehicle age, model year, price, etc. Obviously, the pricing factors for used car pricing are single, and it is impossible to accurately and reasonably price vehicle insurance and used cars, which cannot meet the current social needs.

[0004] Therefore, the present invention provides a vehicle valuation management method and system for vehicle condition damage assessment. Summary of the Invention

[0005] A vehicle valuation management method and system for vehicle condition damage assessment according to the present invention can price used cars based on the vehicle condition and market floating price, which can not only maintain the stability of the market but also enable consumers to purchase used cars with confidence.

[0006] The present invention provides a vehicle valuation management method for vehicle condition damage assessment, including:

[0007] Step 1: Obtain the basic vehicle information and vehicle damage information of the target vehicle, construct several vehicle damage assessment dimensions of the target vehicle, and generate the part composition structure of the target vehicle;

[0008] Step 2: Input the vehicle basic information and the vehicle damage information into the component structure for functional testing to obtain the part performance characteristics corresponding to each vehicle part in the target vehicle;

[0009] Step 3: Construct the actual vehicle condition information of the target vehicle based on the part performance characteristics, and deduce several vehicle performance characteristics of the target vehicle by using the actual vehicle condition information;

[0010] Step 4: Conduct step-by-step valuation of the target vehicle based on the vehicle performance characteristics, determine the market equilibrium selling price range of the target vehicle and display it.

[0011] In an implementable manner,

[0012] The process of obtaining the vehicle basic information and the vehicle damage information of the target vehicle includes:

[0013] Step A: Perform laser scanning and ultrasonic scanning on the target vehicle, synchronously project the obtained ultrasonic scanning image and the obtained laser scanning image to obtain a three-dimensional structure image of the target vehicle, and search for the non-destructive structure image of the vehicle according to the vehicle model of the target vehicle;

[0014] Step B: Semantically reorganize the known vehicle information uploaded by the owner of the target vehicle to obtain several vehicle sub-information of the target vehicle, and perform performance inference on the non-destructive structure image based on the vehicle sub-information to obtain several natural damage sub-information of the target vehicle;

[0015] Step C: Collect the structural differences between the three-dimensional structure image and the non-destructive structure image, determine several structural damage sub-information of the target vehicle, and use the natural damage sub-information to enhance the structural damage sub-information to obtain the vehicle damage information of the target vehicle;

[0016] Step D: Use the natural damage sub-information to enhance the vehicle sub-information to obtain several enhanced vehicle sub-information of the target vehicle, screen several target enhanced sub-information different from the vehicle damage information to obtain the vehicle basic information of the target vehicle.

[0017] In an implementable manner,

[0018] The said Step 1 includes:

[0019] Step 11: Conduct a preliminary evaluation of the target vehicle according to the vehicle basic information and the vehicle damage information to obtain several non-destructive dimensions of the target vehicle, determine several vehicle damage assessment dimensions of the target vehicle, and construct corresponding damage assessment conditions by using the dimension level standard corresponding to each vehicle damage assessment dimension;

[0020] Step 12: Adjust the network parameters of the preset recurrent neural network using the loss assessment conditions, and input the vehicle damage information into the adjusted preset recurrent neural network for training to obtain the damaged time series information corresponding to the target vehicle in each vehicle damage assessment dimension;

[0021] Step 13: Find several parts to be damaged in each vehicle damage assessment dimension, preliminarily assess the parts to be damaged based on the vehicle damage information, construct the damaged correlation features between different parts to be damaged using the time series damaged information, and perform auxiliary damage assessment on the parts to be damaged based on the damaged correlation features;

[0022] Step 14: Obtain several damage assessment features corresponding to each part to be damaged, construct the part posture and part performance corresponding to each part to be damaged, arrange the part postures in space based on the part function corresponding to each part to be damaged, and mark the corresponding part performance at the corresponding spatial positions to generate and display the part composition structure of the target vehicle.

[0023] In an implementable manner,

[0024] The said Step 2 includes:

[0025] Step 21: Perform detailed rendering on the part composition structure using the basic vehicle information to obtain the effective part composition structure of the target vehicle, and convert the vehicle damage information into several damage features based on the vehicle damage assessment dimension;

[0026] Step 22: Input each vehicle damage feature into the effective part composition structure for functional tests respectively to obtain the damaged parts affected by each vehicle damage feature and the influence thresholds corresponding to each damaged part affected;

[0027] Step 23: Deduce the executable functions of the damaged parts affected corresponding in the effective part composition structure based on the influence thresholds, and deduce the synchronous execution functions between different damaged parts affected;

[0028] Step 24: Construct the part performance features of each vehicle part in the target vehicle according to the executable functions and synchronous execution functions corresponding to each damaged part affected.

[0029] In an implementable manner,

[0030] The said Step 3 includes:

[0031] Step 31: Construct a vehicle performance model of the target vehicle based on the part performance characteristics corresponding to each vehicle part, and use the vehicle performance model to simulate the driving controllable information corresponding to the target vehicle when driving in each preset driving environment;

[0032] Step 32: Based on the driving controllable information, restore the part functions corresponding to each vehicle part respectively to obtain the actual part functions corresponding to each vehicle part, and construct the actual vehicle condition information of the target vehicle according to the actual part functions;

[0033] Step 33: Perform loss assessment stratification on the actual vehicle condition information based on the vehicle loss assessment dimension to obtain the vehicle performance characteristics corresponding to the target vehicle under each vehicle loss assessment dimension.

[0034] In an implementable manner,

[0035] The said step 4 includes:

[0036] Step 41: Obtain the natural damage sub - information of the target vehicle, determine the highest valuation threshold of the target vehicle, identify the performance vehicle parts corresponding to each vehicle performance characteristic, and value each performance vehicle part respectively according to the performance characteristic values corresponding to the vehicle performance characteristics to obtain the part prices corresponding to each vehicle part in the target vehicle;

[0037] Step 42: Based on the highest valuation threshold, adjust the price of each part respectively to obtain several effective prices corresponding to each vehicle part, and combine the effective prices corresponding to different vehicle parts to obtain several vehicle prices;

[0038] Step 43: Mark each vehicle price on a preset number axis respectively, identify the numerical convergence interval of the vehicle prices on the preset number axis, and search the trading sales volume corresponding to each target vehicle price of the target vehicle within the numerical convergence interval in big data respectively;

[0039] Step 44: Construct a price weight corresponding to the target vehicle price based on the trading sales volume, and use the price weight to adjust the interval range of the data convergence interval to obtain the market - balanced selling price range of the target vehicle and display it.

[0040] In an implementable manner,

[0041] It further includes:

[0042] When the intended transaction price of the target vehicle is outside the market - balanced selling price range, restrict this transaction.

[0043] In an implementable manner,

[0044] further comprising

[0045] After the target vehicle completes a transaction, obtain the final transaction price of the target vehicle;

[0046] Based on the final transaction price corresponding to each transaction, train the market equilibrium selling price range to obtain the new equilibrium selling price range of the target vehicle, and use the new equilibrium selling price range to replace the market equilibrium selling price range.

[0047] The present invention provides a vehicle valuation management system for vehicle condition damage assessment, including:

[0048] A preliminary processing module for obtaining the basic vehicle information and vehicle damage information of the target vehicle, constructing several vehicle damage assessment dimensions of the target vehicle, and generating the part composition structure of the target vehicle;

[0049] A performance determination module for inputting the basic vehicle information and the vehicle damage information into the part composition structure for functional testing to obtain the part performance characteristics corresponding to each vehicle part in the target vehicle;

[0050] A depth analysis module for constructing the actual vehicle condition information of the target vehicle based on the part performance characteristics, and using the actual vehicle condition information to deduce several vehicle performance characteristics of the target vehicle;

[0051] A valuation execution module for performing step-by-step valuation on the target vehicle based on the vehicle performance characteristics, determining the market equilibrium selling price range of the target vehicle and displaying it.

[0052] In an implementable manner,

[0053] The preliminary processing module includes:

[0054] A preliminary evaluation unit for performing a preliminary evaluation on the target vehicle according to the basic vehicle information and the vehicle damage information to obtain several non-damaged dimensions of the target vehicle, determining several vehicle damage assessment dimensions of the target vehicle, and constructing corresponding damage assessment conditions using the dimension level standard corresponding to each vehicle damage assessment dimension;

[0055] A network training unit for adjusting the network parameters of a preset recurrent neural network using the damage assessment conditions, and inputting the vehicle damage information into the adjusted preset recurrent neural network for training to obtain the damaged time series information corresponding to the target vehicle under each vehicle damage assessment dimension;

[0056] A damage assessment execution unit, configured to find a plurality of parts to be damaged corresponding to each vehicle damage assessment dimension, preliminarily damage the parts to be damaged based on the vehicle damage information, construct damage association features between different parts to be damaged by using the sequential damage information, and perform auxiliary damage assessment on the parts to be damaged based on the damage association features;

[0057] A part analysis unit, configured to obtain a plurality of damage assessment features corresponding to each part to be damaged, construct the part attitude and part performance corresponding to each part to be damaged, spatially arrange the part attitudes based on the part functions corresponding to each part to be damaged, and mark the corresponding part performances at the corresponding spatial positions, generate the part composition structure of the target vehicle and display it.

[0058] The achievable beneficial effects of the above technical solution are as follows: Out of the attitude of being responsible to both the buyer and the seller, multiple factors need to be considered during the valuation. First, several dimensions for which the vehicle needs to be damaged are determined according to the basic vehicle information and vehicle damage information of the vehicle. At the same time, the part composition structure of the vehicle is constructed. Then, the basic vehicle information and vehicle damage information are input into the part composition structure for functional tests to determine the part performance characteristics presented by each vehicle part in the vehicle, thereby constructing the actual vehicle condition information, determining all functions that the vehicle can perform, obtaining the corresponding vehicle performance characteristics, and finally performing step-by-step valuation on the target vehicle to determine the market equilibrium selling price range of the vehicle. In this way, the vehicle condition can be analyzed in depth, the defects in the vehicle can be understood, the phenomenon of vague valuation can be avoided, and the priced range conforms to the market conditions, will not disrupt the market order, and maintains the stability of the market.

[0059] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the written specification and the drawings.

[0060] The technical solution of the present invention will be further described in detail below with reference to the drawings and embodiments. Description of the Drawings

[0061] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification, and are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the drawings:

[0062] Figure 1 It is a schematic diagram of the working process of a vehicle valuation management method for vehicle condition damage assessment in an embodiment of the present invention;

[0063] Figure 2This is a schematic diagram of the composition of a vehicle valuation management system for vehicle condition damage assessment in an embodiment of the present invention. Detailed implementation manners

[0064] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0065] Embodiment 1

[0066] This embodiment provides a vehicle valuation management method for vehicle condition damage assessment. As Figure 1 shown, it includes:

[0067] Step 1: Obtain the basic vehicle information and vehicle damage information of the target vehicle, construct several vehicle damage assessment dimensions of the target vehicle, and generate the part composition structure of the target vehicle;

[0068] Step 2: Input the basic vehicle information and the vehicle damage information into the part composition structure for functional tests to obtain the part performance characteristics corresponding to each vehicle part in the target vehicle;

[0069] Step 3: Construct the actual vehicle condition information of the target vehicle based on the part performance characteristics, and deduce several vehicle performance characteristics of the target vehicle by using the actual vehicle condition information;

[0070] Step 4: Conduct step-by-step valuation on the target vehicle based on the vehicle performance characteristics, determine the market equilibrium selling price range of the target vehicle and display it.

[0071] In this example, the target vehicle refers to a used vehicle to be damaged assessed and valued;

[0072] In this example, the vehicle damage assessment dimension refers to conducting damage assessment and analysis on the vehicle from a specific angle, including: appearance, function of each part, mileage, and historical repairs;

[0073] In this example, the part composition structure refers to the structure presented by various parts in the vehicle;

[0074] In this example, the functional test refers to the process used to verify the functional integrity of each vehicle part in the target vehicle;

[0075] In this example, the part performance characteristics refer to the characteristics presented by the functions that a vehicle part can perform;

[0076] In this example, the actual vehicle condition information refers to the vehicle condition presented by the target vehicle;

[0077] In this example, the market equilibrium selling price range refers to the selling price range that meets the market conditions and conforms to the vehicle price assessment rules.

[0078] Working principle and beneficial effects of the above technical solution: With an attitude of being responsible to both buyers and sellers, multiple factors need to be considered during valuation. First, several dimensions for damage assessment of the vehicle are determined based on the vehicle's basic information and damage information. Meanwhile, the component structure of the vehicle is constructed. Then, the vehicle's basic information and damage information are input into the component structure for functional tests to determine the performance characteristics of each vehicle part in the vehicle, thereby constructing the actual vehicle condition information, determining all functions that the vehicle can perform, obtaining the corresponding vehicle performance characteristics. Finally, the target vehicle is valued step by step to determine the market equilibrium selling price range of the vehicle. In this way, the vehicle condition can be analyzed in depth, defects in the vehicle can be understood, the phenomenon of vague valuation can be avoided, and the priced range conforms to the market conditions, without disturbing the market order and maintaining the stability of the market.

[0079] Example 2

[0080] Based on Example 1, in the vehicle valuation management method for vehicle damage assessment, the process of obtaining the vehicle's basic information and damage information of the target vehicle includes:

[0081] Step A: Laser scan and ultrasonic scan the target vehicle, synchronously project the obtained ultrasonic scan image and the obtained laser scan image to obtain a three-dimensional structure image of the target vehicle, and search for the non-destructive structure image of the vehicle according to the vehicle model of the target vehicle;

[0082] Step B: Semantically reorganize the known vehicle information uploaded by the owner of the target vehicle to obtain several vehicle sub-information of the target vehicle, and perform performance inference on the non-destructive structure image based on the vehicle sub-information to obtain several natural damage sub-information of the target vehicle;

[0083] Step C: Collect the structural differences between the three-dimensional structure image and the non-destructive structure image, determine several structural damage sub-information of the target vehicle, and use the natural damage sub-information to enhance the structural damage sub-information to obtain the vehicle damage information of the target vehicle;

[0084] Step D: Use the natural damage sub-information to enhance the vehicle sub-information to obtain several enhanced vehicle sub-information of the target vehicle, screen several target enhanced sub-information different from the vehicle damage information to obtain the vehicle's basic information of the target vehicle.

[0085] In this example, laser scan represents the process of scanning the surface of the target vehicle, and ultrasonic scan represents the process of scanning the internal structure of the target vehicle;

[0086] In this example, the three-dimensional structure image represents an image expressing the three-dimensional structure of the target vehicle in three-dimensional space;

[0087] In this example, the non-destructive structure image represents the structure of the target vehicle when it first comes out of the factory;

[0088] In this example, the vehicle sub-information represents the information used to describe the target vehicle;

[0089] In this example, the natural damage sub-information represents the information generated when the target vehicle is naturally damaged during its historical usage duration;

[0090] In this example, the structural difference points represent the differences between the three-dimensional structure image and the non-destructive structure image;

[0091] In this example, the enhanced vehicle sub-information represents the result of fusing the natural damage sub-information and the vehicle information of the target vehicle.

[0092] The working principle and beneficial effects of the above technical solution: By scanning the target vehicle to construct its three-dimensional structure image, and then combining the vehicle information uploaded by the vehicle owner to infer the performance of the non-destructive structure image of the vehicle, several pieces of natural damage sub-information are obtained. Further, based on the structural difference points between the three-dimensional structure image and the non-destructive structure image, the structural damage sub-information of the target vehicle is determined. Then, the natural damage sub-information is used to enhance the structural damage sub-information to determine the vehicle damage information of the target vehicle. At the same time, the natural damage sub-options are used to enhance the vehicle sub-options, and the sub-information different from the vehicle damage information is screened to construct the vehicle basic information of the target vehicle. In this way, various aspects of the vehicle can be analyzed to obtain the effective information of the target vehicle, improving the accuracy of subsequent vehicle valuation.

[0093] Embodiment 3

[0094] Based on Embodiment 1, for the vehicle valuation management method for vehicle condition damage assessment, step 1 includes:

[0095] Step 11: Conduct a preliminary evaluation of the target vehicle according to the vehicle basic information and the vehicle damage information to obtain several non-destructive dimensions of the target vehicle, determine several vehicle damage assessment dimensions of the target vehicle, and construct corresponding damage assessment conditions using the dimension level standard corresponding to each vehicle damage assessment dimension;

[0096] Step 12: Adjust the network parameters of the preset recurrent neural network using the damage assessment conditions, and input the vehicle damage information into the adjusted preset recurrent neural network for training to obtain the damaged time series information corresponding to the target vehicle under each vehicle damage assessment dimension;

[0097] Step 13: Search for several parts to be appraised corresponding to each vehicle damage appraisal dimension, conduct a preliminary damage appraisal on the parts to be appraised based on the vehicle damage information, construct damage correlation features between different parts to be appraised by using the time-series damage information, and conduct an auxiliary damage appraisal on the parts to be appraised based on the damage correlation features;

[0098] Step 14: Obtain several damage appraisal features corresponding to each part to be appraised, construct the part posture and part performance corresponding to each part to be appraised, arrange the part postures spatially based on the part functions corresponding to each part to be appraised, and mark the corresponding part performances at the corresponding spatial positions to generate and display the part composition structure of the target vehicle.

[0099] In this example, the non-damage dimension represents the dimension without damage;

[0100] In this example, the dimension level standard represents the damage appraisal classification level situation corresponding to a vehicle damage appraisal dimension;

[0101] In this example, the preset recurrent neural network represents a network used to capture the time-series relationship between different vehicle damage information;

[0102] In this example, the damage time-series information represents the time-series characteristics presented when the target vehicle is damaged;

[0103] In this example, the preliminary damage appraisal represents the process of appraising vehicle parts based on the damage time-series information, and the auxiliary damage appraisal represents the process of nearly perfecting the damage of vehicle parts by using the damage correlation features;

[0104] In this example, the spatial arrangement represents the result of sorting vehicle parts according to the spatial arrangement presented in the three-dimensional structure image.

[0105] The working principle and beneficial effects of the above technical solution: By using the vehicle basic information and vehicle damage information to conduct a preliminary evaluation of the target vehicle, several vehicle damage appraisal dimensions of the vehicle are determined, and then the corresponding damage appraisal conditions are constructed according to the dimension level standard of each vehicle damage appraisal dimension. Furthermore, the network parameters of the preset recurrent neural network are optimized by using this condition, and the vehicle damage information is trained by using the optimized neural network to determine the damage time-series information under the vehicle damage appraisal dimension. Then, the vehicle parts are preliminarily appraised and assisted in appraising, and the part postures and part performances of each vehicle part are determined. Finally, the part composition structure of the target vehicle is constructed by means of spatial sorting. In this way, the vehicle parts can be appraised comprehensively, ensuring the authenticity of the subsequent valuation and providing an effective reference for the valuation work.

[0106] Example 4

[0107] Based on Embodiment 1, in the vehicle valuation management method for vehicle condition damage assessment, Step 2 includes:

[0108] Step 21: Use the basic vehicle information to perform detailed rendering on the component structure to obtain the effective component structure of the target vehicle, and convert the vehicle damage information into a number of damage features based on the vehicle damage assessment dimension;

[0109] Step 22: Input each vehicle damage feature into the effective component structure for functional testing respectively to obtain the damaged impact components corresponding to each vehicle damage feature, and the impact thresholds corresponding to each damaged impact component;

[0110] Step 23: Based on the impact thresholds, deduce the executable functions of the components corresponding to the damaged impact components in the effective component structure, and deduce the synchronous execution functions between different damaged impact components;

[0111] Step 24: Construct the component performance characteristics of each vehicle component in the target vehicle according to the executable functions and synchronous execution functions corresponding to each damaged impact component.

[0112] In this example, the damaged impact component refers to the vehicle component corresponding to a vehicle damage feature;

[0113] In this example, the impact threshold represents the maximum value by which the damaged impact component is interfered;

[0114] In this example, the executable function of the component represents the function that a damaged impact component can currently execute.

[0115] The working principle and beneficial effects of the above technical solution: By using the basic vehicle information to perform detailed rendering on the component structure, a number of vehicle damage features are obtained in the resulting effective component structure, and then functional testing is performed on the vehicle damage features to determine the damaged impact components of the target vehicle and the impact thresholds corresponding to each damaged impact component, thereby determining the executable function of each component. Finally, the executable functions and synchronous execution functions are processed to obtain the component performance characteristics of each vehicle component. In this way, the functions of multiple vehicle components in the target vehicle can be analyzed simultaneously, effectively reducing the valuation error.

[0116] Embodiment 5

[0117] Based on Embodiment 1, in the vehicle valuation management method for vehicle condition damage assessment, Step 3 includes:

[0118] Step 31: Construct a vehicle performance model based on the part performance characteristics corresponding to each vehicle part, and use the vehicle performance model to simulate the driving controllable information corresponding to the target vehicle when driving in each preset driving environment;

[0119] Step 32: Based on the driving controllable information, restore the part functions corresponding to each vehicle part respectively to obtain the actual part functions corresponding to each vehicle part, and construct the actual vehicle condition information of the target vehicle according to the actual part functions;

[0120] Step 33: Perform loss assessment stratification on the actual vehicle condition information based on the vehicle loss assessment dimension to obtain the vehicle performance characteristics corresponding to the target vehicle under each vehicle loss assessment dimension.

[0121] In this example, the preset driving environment refers to the driving environment set by the user.

[0122] The working principle and beneficial effects of the above technical solution: By constructing a vehicle performance model to simulate the driving characteristics of the target vehicle in different driving environments, the driving controllable information in different driving environments is obtained. Further, the part functions of each vehicle part are restored to determine the actual vehicle condition information of the target vehicle. Further, the vehicle condition information is stratified for loss assessment to determine the vehicle performance characteristics corresponding to it under different dimensions. In this way, the functions of vehicle parts can be comprehensively analyzed, and the performance characteristics of the vehicle in different environments and different dimensions can be determined, covering the breadth of vehicle loss assessment in traditional technologies and improving the effectiveness of vehicle performance characteristics.

[0123] Embodiment 6

[0124] Based on Embodiment 1, for the vehicle valuation management method for vehicle condition loss assessment, Step 4 includes:

[0125] Step 41: Obtain the natural damage sub-information of the target vehicle, determine the highest valuation threshold of the target vehicle, identify the performance vehicle parts corresponding to each vehicle performance characteristic, and value each performance vehicle part according to the performance characteristic values corresponding to the vehicle performance characteristics to obtain the part prices corresponding to each vehicle part in the target vehicle;

[0126] Step 42: Based on the highest valuation threshold, perform price adjustment on each part price respectively to obtain several effective prices corresponding to each vehicle part, and combine the effective prices corresponding to different vehicle parts to obtain several vehicle prices;

[0127] Step 43: Mark each of the vehicle prices on a preset number axis, identify the numerical convergence interval of the vehicle prices on the preset number axis, and search in the big data for the corresponding transaction volumes of each target vehicle price within the numerical convergence interval for the target vehicle.

[0128] Step 44: Construct a price weight for the corresponding target vehicle price based on the transaction volume, and use the price weight to adjust the interval range of the data convergence interval to obtain the market equilibrium selling price range of the target vehicle and display it.

[0129] In this example, the highest valuation threshold represents the price corresponding to the target vehicle when it is only damaged naturally.

[0130] The working principle and beneficial effects of the above technical solution: Before valuing the vehicle parts, the highest valuation threshold of the target vehicle is first determined, and then the prices of the parts are adjusted using the highest valuation threshold. The different effective prices of the parts are combined to obtain several vehicle prices. Further, the convergence interval of the vehicle prices is optimized to obtain the market equilibrium selling price range of the target vehicle. In this way, a price that conforms to the market conditions and safeguards the interests of both buyers and sellers can be obtained, maintaining the stability of the market and increasing the acceptance degree of customers for used cars.

[0131] Embodiment 7

[0132] Based on Embodiment 1, the vehicle valuation management method for vehicle condition damage assessment further includes:

[0133] When the intended transaction price of the target vehicle is outside the market equilibrium selling price range, restrict this transaction.

[0134] The working principle and beneficial effects of the above technical solution: To maintain the stability of the market, when the intended transaction price at the time of selling the target vehicle is outside the market equilibrium selling price range, restrict the buyer and seller from trading at this price.

[0135] Embodiment 8

[0136] Based on Embodiment 1, the vehicle valuation management method for vehicle condition damage assessment further includes

[0137] When the target vehicle completes the transaction, obtain the final transaction price of the target vehicle;

[0138] Train the market equilibrium selling price range based on the final transaction price corresponding to each transaction to obtain the new equilibrium selling price range of the target vehicle, and use the new equilibrium selling price range to replace the market equilibrium selling price range.

[0139] The working principle and beneficial effects of the above technical solution: By continuously updating the market equilibrium selling price, the stability of the market is guaranteed, making the used car transaction keep pace with the times.

[0140] In this example, the target vehicle refers to the used car to be appraised for damage assessment and valuation.

[0141] In this example, the vehicle damage assessment dimension refers to the damage assessment and analysis of the vehicle from a specific angle, including: appearance, function of each part, mileage, and historical repairs.

[0142] In this example, the part composition structure refers to the structure presented by various parts in the vehicle.

[0143] In this example, the function test refers to the process of verifying the functional integrity of each vehicle part in the target vehicle.

[0144] In this example, the part performance characteristics refer to the characteristics presented by the functions that a vehicle part can perform.

[0145] In this example, the actual vehicle condition information refers to the vehicle condition presented by the target vehicle.

[0146] In this example, the market equilibrium selling price range refers to the selling price range that meets the market conditions and conforms to the vehicle price evaluation rules.

[0147] The working principle and beneficial effects of the above technical solution: In the attitude of being responsible to both buyers and sellers, multiple factors need to be considered during valuation. First, several dimensions for damage assessment of the vehicle are determined based on the vehicle's basic information and damage information, and the part composition structure of the vehicle is constructed. Then, the vehicle's basic information and damage information are input into the part composition structure for function tests to determine the part performance characteristics presented by each vehicle part in the vehicle, and then the actual vehicle condition information is constructed, determining all the functions that the vehicle can perform, obtaining the corresponding vehicle performance characteristics. Finally, the target vehicle is appraised step by step to determine the market equilibrium selling price range of the vehicle. In this way, the vehicle condition can be analyzed in depth, the defects in the vehicle can be understood, the phenomenon of fuzzy valuation can be avoided, and the priced range conforms to the market conditions, does not disrupt the market order, and maintains the stability of the market.

[0148] Embodiment 9

[0149] This embodiment provides a vehicle valuation management system for vehicle damage assessment, as Figure 2 shown, including:

[0150] A preliminary processing module, configured to obtain the vehicle's basic information and damage information of the target vehicle, construct several vehicle damage assessment dimensions of the target vehicle, and generate the part composition structure of the target vehicle.

[0151] A performance determination module, configured to input the vehicle basic information and the vehicle damage information into the component structure for a function test, so as to obtain the part performance characteristics corresponding to each vehicle part in the target vehicle;

[0152] A depth analysis module, configured to construct the actual vehicle condition information of the target vehicle based on the part performance characteristics, and deduce several vehicle performance characteristics of the target vehicle by using the actual vehicle condition information;

[0153] An evaluation execution module, configured to perform step-by-step evaluation on the target vehicle based on the vehicle performance characteristics, determine the market equilibrium selling price range of the target vehicle and display it.

[0154] Embodiment 10

[0155] Based on Embodiment 9, for the vehicle valuation management system for vehicle damage assessment, the preliminary processing module includes:

[0156] A preliminary evaluation unit, configured to perform a preliminary evaluation on the target vehicle according to the vehicle basic information and the vehicle damage information, obtain several non-damaged dimensions of the target vehicle, determine several vehicle damage assessment dimensions of the target vehicle, and construct corresponding damage assessment conditions by using the dimension level standard corresponding to each vehicle damage assessment dimension;

[0157] A network training unit, configured to adjust the network parameters of a preset recurrent neural network by using the damage assessment conditions, and input the vehicle damage information into the adjusted preset recurrent neural network for training, so as to obtain the damaged time series information corresponding to the target vehicle under each vehicle damage assessment dimension;

[0158] A damage assessment execution unit, configured to find several parts to be damaged corresponding to each vehicle damage assessment dimension, perform a preliminary damage assessment on the parts to be damaged based on the vehicle damage information, construct a damaged association feature between different parts to be damaged by using the time series damaged information, and perform an auxiliary damage assessment on the parts to be damaged based on the damaged association feature;

[0159] A part analysis unit, configured to obtain several damage assessment features corresponding to each part to be damaged, construct the part attitude and part performance corresponding to each part to be damaged, arrange the part attitudes in space based on the part function corresponding to each part to be damaged, and mark the corresponding part performance at the corresponding spatial positions, so as to generate the component structure of the target vehicle and display it.

[0160] In this example, the non-damaged dimension means the dimension where no damage has occurred;

[0161] In this example, the dimension level standard represents the loss assessment classification level corresponding to a vehicle loss assessment dimension;

[0162] In this example, the preset recurrent neural network represents a network used to capture the temporal relationship between different vehicle damage information;

[0163] In this example, the damaged temporal information represents the temporal characteristics presented when the target vehicle is damaged;

[0164] In this example, the preliminary loss assessment represents the process of assessing the loss of vehicle parts based on the damaged temporal information, and the auxiliary loss assessment represents the process of nearly perfecting the damage of vehicle parts using the damaged correlation features;

[0165] In this example, the spatial arrangement represents the result of sorting vehicle parts according to the spatial arrangement presented in the three-dimensional structure image.

[0166] The working principle and beneficial effects of the above technical solution: By using the basic vehicle information and the vehicle damage information to conduct a preliminary evaluation of the target vehicle, several vehicle loss assessment dimensions of the vehicle are determined. Then, for the dimension level standard of each vehicle loss assessment dimension, the corresponding loss assessment conditions are constructed. Furthermore, the network parameters of the preset recurrent neural network are optimized using these conditions, and the optimized neural network is used to train the vehicle damage information to determine the damaged temporal information under the vehicle loss assessment dimension. Then, the preliminary loss assessment and auxiliary loss assessment of vehicle parts are carried out to determine the part attitude and part performance of each vehicle part. Finally, the part composition structure of the target vehicle is constructed through spatial sorting. In this way, a comprehensive loss assessment of vehicle parts can be carried out, ensuring the authenticity of subsequent valuation and providing an effective reference for the valuation work.

[0167] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. A vehicle valuation management method for vehicle condition damage assessment, characterized in that Including: Step 1: Obtain the vehicle basic information and vehicle damage information of the target vehicle, construct several vehicle loss assessment dimensions of the target vehicle, and generate the part composition structure of the target vehicle; Step 2: Input the vehicle basic information and the vehicle damage information into the part composition structure for functional tests to obtain the part performance characteristics corresponding to each vehicle part in the target vehicle; Step 3: Construct the actual vehicle condition information of the target vehicle based on the part performance characteristics, and deduce several vehicle performance characteristics of the target vehicle by using the actual vehicle condition information; Step 4: Conduct step-by-step valuation of the target vehicle based on the vehicle performance characteristics, determine the market equilibrium selling price range of the target vehicle and display it.

2. The vehicle valuation management method for vehicle condition damage assessment according to claim 1, wherein The process of obtaining the vehicle basic information and vehicle damage information of the target vehicle includes: Step A: Conduct laser scanning and ultrasonic scanning on the target vehicle, synchronously project the obtained ultrasonic scanning image and the obtained laser scanning image to obtain the three-dimensional structure image of the target vehicle, and search for the non-destructive structure image of the vehicle according to the vehicle model of the target vehicle; Step B: Semantically reorganize the known vehicle information uploaded by the owner of the target vehicle to obtain several vehicle sub-information of the target vehicle, and perform performance inference on the non-destructive structure image based on the vehicle sub-information to obtain several natural damage sub-information of the target vehicle; Step C: Collect the structural differences between the three-dimensional structure image and the non-destructive structure image, determine several structural damage sub-information of the target vehicle, and use the natural damage sub-information to enhance the structural damage sub-information to obtain the vehicle damage information of the target vehicle; Step D: Use the natural damage sub-information to enhance the vehicle sub-information to obtain several enhanced vehicle sub-information of the target vehicle, screen several target enhanced sub-information different from the vehicle damage information to obtain the vehicle basic information of the target vehicle.

3. A vehicle valuation management method for vehicle condition damage assessment according to claim 1, characterized in that, The said Step 1 includes: Step 11: Conduct a preliminary evaluation of the target vehicle according to the vehicle basic information and the vehicle damage information to obtain several non-destructive dimensions of the target vehicle, determine several vehicle loss assessment dimensions of the target vehicle, and construct corresponding loss assessment conditions by using the dimension level standard corresponding to each vehicle loss assessment dimension; Step 12: Use the loss assessment conditions to adjust the network parameters of the preset recurrent neural network, and input the vehicle damage information into the adjusted preset recurrent neural network for training to obtain the damaged time series information corresponding to each vehicle loss assessment dimension of the target vehicle; Step 13: Search for several parts to be loss-assessed corresponding to each vehicle loss assessment dimension, conduct a preliminary loss assessment on the parts to be loss-assessed based on the vehicle damage information, construct the damaged association characteristics between different parts to be loss-assessed by using the time series damaged information, and conduct an auxiliary loss assessment on the parts to be loss-assessed based on the damaged association characteristics; Step 14: Obtain a number of loss assessment features corresponding to each of the parts to be loss-assessed, construct the part attitude and part performance corresponding to each of the parts to be loss-assessed, arrange the part attitudes in space based on the part functions corresponding to each of the parts to be loss-assessed, and mark the corresponding part performances at the corresponding spatial positions, generate the part composition structure of the target vehicle and display it.

4. The vehicle valuation management method for vehicle condition damage assessment according to claim 1, characterized in that, The said Step 2 includes: Step 21: Use the basic vehicle information to perform detailed rendering on the part composition structure to obtain the effective part composition structure of the target vehicle, and convert the vehicle damage information into a number of damage features based on the vehicle loss assessment dimension; Step 22: Input each of the vehicle damage features into the effective part composition structure for function tests respectively, to obtain the damaged impact parts corresponding to each of the vehicle damage features, and the impact thresholds corresponding to each of the damaged impact parts; Step 23: Deduce the executable functions of the parts corresponding to the damaged impact parts in the effective part composition structure based on the impact thresholds, and deduce the synchronous execution functions between different damaged impact parts; Step 24: Construct the part performance characteristics of each vehicle part in the target vehicle according to the executable functions and synchronous execution functions corresponding to each damaged impact part.

5. A vehicle valuation management method for vehicle condition damage assessment according to claim 1, characterized in that, The said Step 3 includes: Step 31: Construct the vehicle performance model of the target vehicle based on the part performance characteristics corresponding to each vehicle part, and use the vehicle performance model to simulate the corresponding driving controllable information when the target vehicle is driving in each preset driving environment; Step 32: Restore the part functions corresponding to each vehicle part respectively based on the driving controllable information to obtain the actual part functions corresponding to each vehicle part, and construct the actual vehicle condition information of the target vehicle according to the actual part functions; Step 33: Perform loss assessment stratification on the actual vehicle condition information based on the vehicle loss assessment dimension to obtain the vehicle performance characteristics corresponding to the target vehicle under each vehicle loss assessment dimension.

6. The vehicle valuation management method for vehicle condition damage assessment according to claim 1, characterized in that, The said Step 4 includes: Step 41: Obtain the natural damage sub-information of the target vehicle, determine the highest valuation threshold of the target vehicle, identify the performance vehicle parts corresponding to each vehicle performance characteristic, and value each performance vehicle part according to the performance characteristic values corresponding to the vehicle performance characteristics to obtain the part prices corresponding to each vehicle part in the target vehicle; Step 42: Adjust the price of each part based on the highest valuation threshold respectively to obtain a number of effective prices corresponding to each vehicle part, and combine the effective prices corresponding to different vehicle parts to obtain a number of vehicle prices; Step 43: Mark each of the vehicle prices on a preset number axis respectively, identify the numerical convergence interval of the vehicle prices in the preset number axis, and search the trading sales volume corresponding to each target vehicle price of the target vehicle within the numerical convergence interval in the big data respectively. Step 44: Construct a price weight for the corresponding target vehicle price based on the transaction sales volume, and use the price weight to adjust the range of the data convergence interval to obtain the market equilibrium selling price range of the target vehicle and display it.

7. The vehicle valuation management method for vehicle condition damage assessment according to claim 1, characterized in that Further included: When the intended transaction price of the target vehicle is outside the market equilibrium sales price range, restrict this transaction.

8. A vehicle valuation management method for vehicle condition damage assessment according to claim 1, characterized in that, Further included After the target vehicle completes the transaction, obtain the final transaction price of the target vehicle; Train the market equilibrium selling price range based on the final transaction price corresponding to each transaction to obtain the new equilibrium selling price range of the target vehicle, and use the new equilibrium selling price range to replace the market equilibrium selling price range.

9. A vehicle valuation management system for vehicle condition damage assessment, characterized in that, Including: A preliminary processing module for obtaining the basic vehicle information and vehicle damage information of the target vehicle, constructing several vehicle damage assessment dimensions of the target vehicle, and generating the part composition structure of the target vehicle; A performance determination module for inputting the basic vehicle information and the vehicle damage information into the part composition structure for a function test to obtain the part performance characteristics corresponding to each vehicle part in the target vehicle; A depth analysis module for constructing the actual vehicle condition information of the target vehicle based on the part performance characteristics, and using the actual vehicle condition information to deduce several vehicle performance characteristics of the target vehicle; An appraisal execution module for step-by-step appraising the target vehicle based on the vehicle performance characteristics, determining the market equilibrium selling price range of the target vehicle and displaying it.

10. A vehicle valuation management system for vehicle condition damage assessment as described in claim 9, characterized in that, The preliminary processing module includes: A preliminary evaluation unit for preliminarily evaluating the target vehicle according to the basic vehicle information and the vehicle damage information to obtain several non-damage dimensions of the target vehicle, determining several vehicle damage assessment dimensions of the target vehicle, and constructing corresponding damage assessment conditions using the dimension level standard corresponding to each vehicle damage assessment dimension; A network training unit for adjusting the network parameters of a preset recurrent neural network using the damage assessment conditions, and inputting the vehicle damage information into the adjusted preset recurrent neural network for training to obtain the damaged time series information corresponding to each vehicle damage assessment dimension of the target vehicle; A damage assessment execution unit for finding several parts to be damaged corresponding to each vehicle damage assessment dimension, preliminarily assessing the parts to be damaged based on the vehicle damage information, constructing the damaged correlation characteristics between different parts to be damaged using the time series damaged information, and assisting in the damage assessment of the parts to be damaged based on the damaged correlation characteristics; A part analysis unit for obtaining several damage assessment characteristics corresponding to each part to be damaged, constructing the part attitude and part performance corresponding to each part to be damaged, arranging the part attitudes in space based on the part function corresponding to each part to be damaged, and marking the corresponding part performance at the corresponding spatial positions to generate and display the part composition structure of the target vehicle.

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