Prediction method and prediction system for vehicle maintenance scheme

Abstract

The embodiment of the invention provides a prediction method and prediction system for a vehicle maintenance scheme. The prediction method for the vehicle maintenance scheme comprises the steps of collecting vehicle owner data, vehicle data and vehicle type maintenance indexes; according to the vehicle owner data, the vehicle data and the vehicle type maintenance index, performing preliminary maintenance prediction in combination with a maintenance period; and performing accurate maintenance prediction according to the consumption weight value and the preliminary maintenance prediction resultto obtain a maintenance scheme. The accurate vehicle maintenance scheme predicted by the method is more suitable for the consumption demand of the user, and the user can autonomously participate in the making of the maintenance plan, so that the value chain accuracy and the customer satisfaction can be improved. Vehicle data submitted by the vehicle-mounted sensor and the user are collected to form a data collection closed loop, and a vehicle maintenance scheme is generated, so that the range of users capable of performing vehicle maintenance can be expanded, and the customer experience and company profits are improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a prediction method and a prediction system of a vehicle maintenance plan. Background technique [0002] The intelligent car networking system represented by OnStar provides online services to car owners through wireless technology and global positioning system satellites. On the one hand, it assists car owners to solve problems through the voice assistance of the customer service center, and on the other hand, monitors the vehicle index in real time. Vehicle maintenance instructions. Among them, customer service voice coordination includes: automatic collision assistance, emergency rescue assistance, full voice control hands-free phone, full voice control navigation service; network and vehicle sensor data guidance includes: vehicle condition detection report, stolen vehicle location, remote door emergency opening, remote Looking for a car. [0003] The Internet of Vehicles ...

AI Technical Summary

Problems solved by technology

However, the disadvantages of this type of technology are: the preset is based on the data returned by the sensor, and only vehicles with higher configurations have this part of the function. There is a model threshold for enjoying the service; relevant data reports are only open to 4S stores, and car owners cannot participate in maintenance decisions and maintenance plans. It is impossible to choose other maintenance stores for maintenance selection, and lose decision-making autonomy; and the maintenance suggestions cannot be combined with maintenance categories, and car owners cannot choose and judge in advance the maintenance materials such as engine oil and filter used

[0004] Therefore, the inventor believes that the prediction and recommendation method of the above-mentioned maintenance plan has great limitations, only a small number of car owners can implement several established maintenance plans, and there is a problem that it is difficult to meet the needs of users and the application range is small

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