Vehicle loss prediction method and device, computer equipment and storage medium

Abstract

The invention discloses a vehicle loss prediction method and device, computer equipment and a storage medium. The method comprises the steps: obtaining the position information of a to-be-predicted vehicle; obtaining the illumination intensity of the environment where the to-be-predicted vehicle is located; acquiring driving characteristics and basic characteristics of a to-be-predicted vehicle; and inputting the position information, the illumination intensity, the driving characteristics and the basic characteristics into a pre-trained misconnection prediction model to obtain the misconnection probability of the to-be-predicted vehicle. According to the invention, the loss probability of the vehicle can be determined, so whether the vehicle is about to be lost can be known in advance, the intervention action can be completed at the first time, the accurate maintenance and timely maintenance of the vehicle by operation and maintenance can be realized, the vehicle utilization rate is improved, the asset loss is reduced, the difficulty of searching the vehicle by operation and maintenance personnel is reduced, and the workload of the operation and maintenance personnel is reduced.

Description

technical field [0001] The present invention relates to the technical field of machine learning, and in particular to a vehicle loss-of-connection prediction method, device, computer equipment and storage medium. Background technique [0002] With the continuous development of shared transportation tools such as shared bicycles and mopeds, shared bicycles and mopeds are distributed all over the country and used in major cities, and the number of vehicles reaches millions or even tens of millions. Due to the disconnection problem caused by the loss of vehicle signal, the loss of assets is becoming more and more serious, and it also increases the workload of vehicle operation and maintenance personnel. [0003] As a type of shared transportation, shared vehicles are usually equipped 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 ...

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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