摘要
为从根本上提升城市轨道交通建设质量,保障大众出行安全,降低存在于城市轨道安全门控制系统中夹人或挤人问题发生的概率,需要对当前城市轨道安全门智能门机控制系统进行优化。通过使用智能控制系统中的图像特征提取与匹配功能,控制图像目标识别运算时间,更为精准地判断车门及站台安全门之间是否存在异物,从根本上提高安全门智能的安全性、可靠性。本文以城市轨道安全门智能门控制系统现状为切入点,提出安全门智能门机控制系统结构与控制算法,明确安全门智能门机控制系统图像匹配要点及控制指令结构,分析智能门机控制系统在运行期间所需使用的关键技术,以期为相关工作人员提供理论性帮助。
In order to fundamentally improve the quality of urban rail transit construction,ensure the safety of public travel,and reduce the probability of people clamping or crowding problems existing in the urban rail safety door control system,it is necessary to optimize the current urban rail safety door intelligent door engine control system.By using the image feature extraction and matching function in the intelligent control system,control the image target recognition operation time,more accurately determine whether there is foreign matter between the train door and the platform safety door,and fundamentally improve the safety and reliability of the safety door intelligence.Based on the current situation of the intelligent door control system of the urban rail safety door,this paper proposes the structure and control algorithm of the intelligent door operator control system of the safety door,clarifies the key points of the image matching and the control command structure of the intelligent door operator control system of the safety door,and analyzes the key technologies that the intelligent door operator control system needs to use during operation,in order to provide theoretical help for the relevant staff.
作者
苏悦
SU Yue(Shenyang Huayitong Control System Co.,Ltd.,Shenyang,Liaoning Province,110000 China)
出处
《科技创新导报》
2022年第27期135-138,共4页
Science and Technology Innovation Herald
关键词
城市轨道
安全门
智能门
控制系统
设计
Urban rail
Emergency door
Intelligent Door
Control system
Design
