基于机器视觉技术的电梯超载自动化检测研究  

Research on Automatic Detection of Elevator Overload Based on Machine Vision Technology

作　　者：严波 YAN Bo(Guangxi Institute of Special Equipment Supervision and Inspection,Nanning 530200,China)

机构地区：[1]广西壮族自治区特种设备检验研究院,广西南宁530200

出　　处：《机械制造与自动化》2023年第2期205-208,共4页Machine Building & Automation

基　　金：国家质量监督检验检疫总局科技项目(2014QK175);广西科学研究与技术开发计划项目(14122006-11);广西科学研究与技术开发计划项目(AB16380347)。

摘　　要：为精准计算目标人员物体在电梯轿厢内的空间占有率,避免超载现象发生,保障电梯安全性,提出了基于机器视觉技术的电梯超载自动化检测方法。采集电梯轿厢图像,并对图像实施去噪处理,获取图像局部方差图,检测电梯轿厢图像目标边缘;提取电梯轿厢图像前景区域目标,计算前景面积占整体图像面积比值获取空间占有率,判断电梯人员及物体总质量是否超载;并进行仿真实验。结果表明:该方法能精准计算目标在电梯轿厢内的空间占有率,自动化检测电梯超载情况,保障电梯安全运行。To accurately calculate the space occupancy rate of the object in the elevator car,avoid the overload phenomenon and ensure the safety of the elevator,an automatic detection method of elevator overload based on machine vision technology is proposed.The elevator car image is collected and denoised to obtain its local variance diagram and to detect its target edge.The foreground area target of the elevator car image is extracted,the ratio of the foreground area to the whole image area is calculated to obtain the space occupancy rate,and whether the total weight of elevator personnel and objects is overloaded is judged.The simulation experiment results show that proposed method can accurately calculate the space occupancy rate of the target in the elevator car,automatically detect the elevator overload,and ensure the safe operation of the elevator.

关 键 词：机器视觉技术 电梯 超载自动化检测 双三帧差分 小波阈值 空间占有率 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]