Online commodity price evaluation cloud computing platform based on big data

Abstract

The invention provides an online commodity price evaluation cloud computing platform based on big data. The platform comprises a user login module, a vehicle technical parameter detection module, an image acquisition module, a feature extraction module, a database, a data preprocessing module, a management server, an analysis server and a display terminal. Technical parameters of a second-hand vehicle are collected through the vehicle technical parameter detection module, technical parameters influencing vehicle values are analyzed in combination with second-hand vehicle big data stored in a database, and vehicle conditions of the second-hand vehicle are collected through the image acquisition module. The defect that only the basic information is considered and the actual vehicle conditionis not considered in traditional vehicle value evaluation is overcome, so that the evaluated vehicle value is closer to the actual use value of the second-hand vehicle, the vehicle value is more objective and fair, and the satisfaction degree of customers is greatly improved.

Description

technical field [0001] The invention belongs to the field of online commodity price evaluation, and relates to a cloud computing platform for online commodity price evaluation based on big data. Background technique [0002] At present, with the continuous development of the economy and the continuous improvement of people's lives; the speed of car replacement is accelerating, which makes the transaction of second-hand cars more and more popular, which brings prosperity to the second-hand car market, and the annual transaction volume of second-hand cars reaches tens of millions; This brings about an increasing demand for second-hand testing and evaluation. Second-hand car evaluation refers to the evaluation of second-hand cars by personnel engaged in technical condition appraisal and value evaluation of second-hand cars to judge the price of reselling the car. [0003] At present, the inspection and evaluation of used cars in the market is based on the experience of the app...

AI Technical Summary

Problems solved by technology

[0003] At present, the inspection and evaluation of used cars in the market is based on the experience of the appraiser, who inspects each part of the actual vehicle one by one, and evaluates the car based on the detected vehicle condition results and market conditions. It also takes a long time. At the same time, the appraiser also needs to evaluate the inspection vehicle. The experience and skills of the appraisers are uneven, and they cannot accurately estimate all types of vehicles macroscopically. Therefore, the vehicle valuation given by the appraiser occupies a large part. subjective factors, and cannot objectively and accurately reflect the true value of the vehicle itself

[0004] The existing rapid valuation technology for used cars is also a rough valuation based entirely on big data, without considering the real condition of the vehicle. In actual vehicle transactions, the real condition of the vehicle determines the real price of the vehicle

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