基于多目机器视觉的城市轨道交通自动化监控系统设计

Design of Automatic Monitoring System for Urban Rail Transit Based on Multi Camera Machine Vision

该文设计了基于多目机器视觉的城市轨道交通自动化监控系统。用户通过交互层发送城市轨道交通多目机器视觉图像采集指令;图像采集层接收指令后,控制多目视觉图像采集模块采集图像并存储到数据库,并发送至逻辑运算层;逻辑运算层连接城市轨道交通第三方子系统,获取运行数据和图像,并使用联动执行服务和实时数据管理进行自动化监控;同时,使用图像预处理和异物侵限检测模块对轨道交通安全进行监控。监控结果传输至交互层,呈现给用户。实验表明,该系统可有效实现城市轨道交通自动化监控,监控及时性较好,应用效果良好。

Design an automated monitoring system for urban rail transit based on multi camera machine vision.Users send multi camera machine vision image acquisition commands for urban rail transit through the interaction layer.After receiving instructions,the image acquisition layer controls the multi vision image acquisition module to collect images and store them in the database,and send them to the logical operation layer.The logical operation layer connects with third-party subsystems of urban rail transit,obtains operational data and images,and uses linkage execution services and real-time data management for automated monitoring.At the same time,image preprocessing and foreign object intrusion detection modules are used to monitor the safety of rail transit.The monitoring results are transmitted to the interaction layer and presented to the user.The experiment shows that the system can effectively achieve automated monitoring of urban rail transit,with good monitoring timeliness and application effectiveness.