Second-hand car condition detecting and grade determining method

Abstract

The invention discloses a second-hand car condition detecting and grade determining method. The method comprises the following steps that S1) cars are classified into two detection item types, detection modules, detection points and detection items according to structures of the second-hand cars; S2) each detected car is detected by the detection points gradually, and the detection items with problems are recorded and marked; S3) a score of the detection module is calculated, and points are deducted from the detection module according to the detection items with the problems; S4) the total score is calculated, the scores of all the detection modules are added to obtain the total score of the car; and S5) the car grade is calculated according to the correspondence of the total score grades. According to the invention, present data can be corrected via historical data, the identification efficiency is high, transaction is convenient, a second-hand car seller can know the car conditions more accurately, use is convenient and the cost is low.

Description

technical field [0001] The invention relates to the technical field of automobile detection, in particular to a method for judging the vehicle condition detection level of a second-hand car. Background technique [0002] It is understood that the quantification of used car grades is a very complicated matter. The environment and method of use of each car are different, resulting in different conditions for each car; in the used car market, inspections are mostly based on According to experience, by listening to the sound of the engine, or looking at the appearance of the car body and the engine room to directly draw the conclusion of the vehicle condition, resulting in inaccurate assessment of the actual vehicle condition; It is very difficult in actual circulation, and the requirements for appraisal experience of practitioners are very high, which seriously restricts the development of second-hand car trading. [0003] Most of the existing used car condition detection grad...

AI Technical Summary

Problems solved by technology

[0002] It is understood that the quantification of used car grades is a very complicated matter. The environment and method of use of each car are different, resulting in different conditions for each car; in the used car market, inspections are mostly based on According to experience, by listening to the sound of the engine, or looking at the appearance of the car body and the engine room to directly draw the conclusion of the vehicle condition, resulting in inaccurate assessment of the actual vehicle condition; It is very difficult in actual circulation, and the requirements for appraisal experience of practitioners are very high, which seriously restricts the development of second-hand car trading

[0003] Most of the existing used car condition detection grade judgment methods are manually identified, which requires high experience for the appraiser, and the identification efficiency is low, and the transaction is inconvenient; the existing data cannot be corrected through historical data; used car dealers cannot accurately Understand the real car condition

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