自动扶梯梯级间隙风险分析与主动预防技术研究

Risk Analysis of Escalator Step Clearance and Active Prevention Technology

分析了自动扶梯梯级间的间隙风险以及因自动扶梯梯级之间间隙卷入的伤人事故发生的主要原因,提出了基于图像识别的自动扶梯乘梯行为主动监测预防策略,结合机器视觉技术,采用基于几何形状特征的异常识别算法,实现对脚踩黄色警戒线行为的自动图像识别,并利用Simulink可视化仿真工具箱初步进行了验证,为降低和遏制此类事故提供新的技术思路。

The risk of gap between escalator steps and the main cause of injury accidents caused by the gap between escalator steps are analyzed in this paper.An active monitoring and prevention strategy for escalator passenger riding behavior based on image recognition has been proposed.Combined with machine vision technology,the abnormal recognition algorithm based on geometric features is adopted to realize the mapping of foot stepping on the yellow warning line image recognition,which it verified with Simulink visual simulation box,and to reduce such accidents of escalators.