Unmanned automobile tire monitoring method based on artificial intelligence

Abstract

The invention discloses a driverless car tire monitoring method based on artificial intelligence. The driverless car tire monitoring method comprises the steps that A001, an operation characteristic sequence corresponding to driverless car tires in an initial time period is obtained; a002, calculating a running state measurement standard corresponding to the driverless car tire; a003, the running state closeness degree between any two tires of the pilotless automobile is calculated; a004, calculating corresponding normal working parameters of the driverless car tire in each time stage in the initial time period; and A005, simulating the object pre-estimation model, wherein the simulated object pre-estimation model is used for speculating the normal working variables of the driverless car tire in the future time period and predicting the working condition of the driverless car tire. According to the technical scheme, the tire pressure and the temperature of the driverless car tire are monitored, and the situation that the tire is internally cracked and burst due to the too high temperature and the tire pressure, and dangerous factors are brought to driving is avoided.

Description

An artificial intelligence-based tire monitoring method for unmanned vehicles technical field The present invention relates to the unmanned driving technology field based on artificial intelligence, be specifically related to a kind of unmanned aerial vehicle based on artificial intelligence. Human-driven vehicle tire monitoring method. Background technique [0002] With the rapid development of artificial intelligence technology, the use of driverless cars is becoming more and more common. unmanned As a kind of intelligent car, the car mainly relies on the intelligent driving instrument mainly based on the computer system in the car to realize unmanned driving. In the actual driverless process, for example, when the tire components of driverless cars are driven at high speed for a long time, it will cause no The temperature of the tires of human-driven cars increases, the air pressure of the tires increases, the tires deform, and the elasticity of the carcass decreas...

AI Technical Summary

Problems solved by technology

In the actual unmanned driving process, for example, when the tire components of the unmanned vehicle are driven at high speed for a long time, the temperature of the tire of the unmanned vehicle will rise, the air pressure of the tire will increase, the tire will deform, and the elasticity of the carcass will decrease. The increased dynamic load on unmanned vehicles can easily lead to tire cracks or even blowouts

However, the existing unmanned vehicles cannot predict the normal operating conditions of the tires and give early warning prompts in time.

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