Automobile risk pre-control method and system

Abstract

The embodiment of the invention provides an automobile risk pre-control method and system. The method comprises the steps: collecting vehicle driving data and vehicle part monitoring data; processingand analyzing the vehicle driving data to obtain a current dangerous driving behavior type; processing and analyzing the vehicle part monitoring data to obtain a current vehicle abnormality type; andsending alarm information and / or intervening the vehicle according to the dangerous driving behavior type and / or the vehicle abnormal type. Early warning and active intervention of automobile drivingrisks are achieved, real-time detection of abrasion of easily-damaged parts of the automobile and whether automobile parts can be normally used or not is achieved, a driver can be reminded in time tocheck and replace the automobile parts, and potential traffic accidents are effectively reduced.

Description

technical field [0001] The invention relates to the technical field of driving safety, in particular to an automobile risk pre-control method and system. Background technique [0002] As the utilization rate of automobiles is getting higher and higher, the occurrence of traffic accidents is also increasing. A large part of traffic accidents is caused by the driver's bad driving behavior, and some of them are caused by the wear and tear of the parts of the vehicle itself. Being able to identify in advance whether the driver's driving behavior is in compliance with the regulations, monitor the wear and tear of the vehicle's vulnerable parts, and issue an alarm to the driver or actively intervene according to the actual situation can reduce the occurrence of traffic accidents. [0003] However, the driving safety assistance system used in the prior art usually collects vehicle driving data, analyzes the driver's driving behavior to estimate the risk and reminds the driver, lack...

AI Technical Summary

Problems solved by technology

[0003] However, the driving safety assistance system used in the prior art usually collects vehicle driving data, analyzes the driver’s driving behavior to estimate the risk and reminds the driver, lacks the active intervention function, and the effect is not direct enough

However, the wearing condition of the wearing parts of the vehicle can only be discovered by the driver’s regular inspection at the maintenance station. The lack of an early warning function cannot prevent traffic accidents due to damage to the wearing parts of the vehicle during driving.

Images