摘要
智能牵引供电系统具有信息化、自动化和智能化的特点,接触网作为牵引供电系统的重要组成部分,承担着电力输送的艰巨任务。为防止由于热胀冷缩使补偿装置移动范围过大导致发生接触网断线等重大事故,基于深度学习理论和图像处理算法对补偿装置进行实时监控,设计了接触网断线智能监测系统,实现了对智能化牵引供电系统进行更加全面的数据实时监测,为不断调整和优化智能牵引供电系统提供技术支持。
The intelligent traction power supply system has the characteristics of informatization,automation and intelligence.As an important part of the traction power supply system,the OCS undertakes the arduous task of power transmission.In order to prevent major accidents such as contact wire breakage caused by excessive range of movement of compensator due to heat-expansion and cold-contraction,an intelligent monitoring system for breakage of OCS wires is designed on the basis of deep learning theory and image processing algorithms.The system realizes more comprehensive real-time data monitoring of the intelligent traction power supply system,providing technical support for continuously modification and optimization of the intelligent traction power supply system.
出处
《电气化铁道》
2024年第1期13-16,共4页
Electric Railway
关键词
温湿度传感器
线阵相机
补偿装置
接触网断线智能监测系统
temperature and humidity sensor
line scan camera
tensioning device
intelligent monitoring system for breakage of OCS wires
