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.
本发明公开一种基于人工智能的无人驾驶汽车轮胎监测方法,A001:获得在初定时间周期内无人驾驶汽车轮胎对应的运行特性序列;A002:计算无人驾驶汽车轮胎对应的运行状态衡量标准;A003:计算无人驾驶汽车的任意两个轮胎之间的运行状态接近程度;A004:计算无人驾驶汽车轮胎在初定时间周期内各时间阶段内对应的正常工作参数;A005:对对象预估模型进行模拟,模拟好的对象预估模型用于对无人驾驶汽车轮胎未来时间阶段内的正常工作变量进行推测和对无人驾驶汽车轮胎工作状况进行预测。本技术方案实现对无人驾驶汽车轮胎的胎压、温度进行监测,避免温度过高、胎压所导致的轮胎内裂、爆胎,给行驶带来危险因素。
Unmanned automobile tire monitoring method based on artificial intelligence
一种基于人工智能的无人驾驶汽车轮胎监测方法
2022-05-31
Patent
Electronic Resource
Chinese
IPC: | B60C VEHICLE TYRES , Fahrzeugreifen |
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