A vehicle loss-of-connection prediction method, device, computer equipment and storage medium

Abstract

The invention discloses a vehicle loss prediction method, device, computer equipment and storage medium, wherein the method includes: obtaining the position information of the vehicle to be predicted; obtaining the illumination intensity of the environment where the vehicle to be predicted is located; obtaining the driving characteristics and Basic features: input the location information, light intensity, driving characteristics and basic features into the pre-trained loss prediction model to obtain the loss probability of the vehicle to be predicted. The invention can determine the loss probability of the vehicle, so that it can be known in advance whether the vehicle is about to lose connection, so that the intervention action can be completed in the first time, and the precise maintenance of the vehicle can be realized by the operation and maintenance, timely maintenance, and the utilization rate of the vehicle can be improved. Loss of assets, reducing the difficulty and workload of operation and maintenance personnel to find vehicles.

Description

technical field [0001] The present invention relates to the technical field of machine learning, and in particular, to a vehicle disconnection prediction method, device, computer equipment and storage medium. Background technique [0002] With the continuous development of the shared transportation industry such as shared bicycles and mopeds, shared bicycles and mopeds are spread all over the country and used in major cities. The number of vehicles has reached millions or even tens of millions. Increase, due to the loss of vehicle signal loss caused by the loss of assets, more and more serious asset loss, but also increased the workload of vehicle operation and maintenance personnel. [0003] As a type of shared vehicle, a shared vehicle is usually provided with a positioning module and a communication module to communicate with the background and report the vehicle's own information to the background on a regular basis. When there is a problem with the power supply of the ...

AI Technical Summary

Problems solved by technology

When there is a problem with the power supply of the set module, for example, the power is exhausted and cannot be replenished in time, or the reason for the failure of the power module will cause the vehicle to lose contact with the background

[0004] However, for a vehicle that uses solar cells to power each module, when the vehicle is in an area with insufficient light for a long time, it will easily cause the vehicle to lose connection due to power failure. location, thus causing property damage to the operating company and increasing the workload of the operation and maintenance personnel

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