The invention discloses an automobile driving safety state real-time monitoring and early warning method based on machine vision and big data analysis, and the method comprises the steps: carrying out the statistical marking of tires on an automobile, and carrying out the damage detection, wear detection, deformation monitoring and tire pressure detection of each tire; counting the damage danger coefficient, the wear danger coefficient, the deformation danger coefficient and the tire burst danger coefficient corresponding to each tire on the automobile according to the detection result, and further calculating the driving state comprehensive danger coefficient corresponding to each tire on the automobile comprehensively, so the safety monitoring of the automobile tires is realized, the monitoring index range is perfected, the defect of single monitoring index of the current automobile tire safety monitoring mode is overcome, the reliability of the monitoring result is improved, the monitoring level of the automobile driving safety is improved, the occurrence of automobile traffic accidents caused by potential safety hazards existing in the driving process of the automobile tire is greatly reduced, and the automobile driving safety is further guaranteed.
本发明公开基于机器视觉和大数据分析的汽车行驶安全状态实时监测预警方法,通过对汽车上存在的轮胎进行统计标记,并对各轮胎进行损伤检测、磨损检测、变形监测和胎压检测,由此根据检测结果统计出汽车上各轮胎对应的损伤危险系数、磨损危险系数、变形危险系数和爆胎危险系数,进而综合以上计算汽车上各轮胎对应的行驶状态综合危险系数,实现了对汽车轮胎的安全监测,完善了监测指标范围,弥补了目前汽车轮胎安全监测方式存在的监测指标单一的不足,提高了监测结果的可靠度,提升了汽车行驶安全的监测水平,大大减少了因汽车轮胎在行驶过程中存在安全隐患导致汽车交通事故的发生,进而保障了汽车的行驶安全。
Vehicle driving safety state real-time monitoring and early warning method based on machine vision and big data analysis
基于机器视觉和大数据分析的汽车行驶安全状态实时监测预警方法
18.06.2021
Patent
Elektronische Ressource
Chinesisch
IPC: | B60C VEHICLE TYRES , Fahrzeugreifen |
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