一种火车站旅客禁入区域警戒线监测系统的设计  

The Design of A Kind of Railway Station Passenger No-entry Alerting Line Monitoring System

作　　者：卞金鹏 周勇 王小英[1] BIAN Jinpeng;ZHOU Yong;WANG Xiaoying(School of Electrical and Automation Engineering,Changshu Institute of Technology,Changshu 215500,China)

机构地区：[1]常熟理工学院电气与自动化工程学院,江苏常熟215500

出　　处：《常熟理工学院学报》2025年第2期71-74,共4页Journal of Changshu Institute of Technology

摘　　要：火车站站台因人员密集且流动性大,存在较为突出的安全隐患,传统的安全员巡视机制逐渐难以应对.本文采用OpenMV机器视觉技术,结合阈值分割及色块寻找等方法,自动识别人或物是否越过警戒区域,如有则自动报警并进行语音提示,直到检测到警戒线以外无人或物.实验结果表明,本系统对于人员越线的识别率达到90%以上,能够显著保障旅客和站台安全,并节省运营成本,具有较好的应用前景.Since railway station platforms are increasingly characterized by high-density and high-mobility populations,revealing significant potential safety risks,the traditional security patrol mechanism has become increasingly inadequate.This study utilizes OpenMV machine vision technology,coupled with threshold segmentation and color block detection methods,to automatically identify whether any individual or object is crossing the designated alert areas.If a breach is detected,an alarm is automatically triggered along with an auditory warning,which persists until no individuals or objects are detected beyond the alert line.Experimental results show that the recognition rate reported in monitoring individuals crossing the alert line can achieve over 90%,which can not only ensure the safety of passengers and platforms but also reduce operational costs such as labor with promising application prospects.

关 键 词：火车站 警戒线 OpenMV 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]