列车运行及货车装载状态智能化检测技术优化  

Optimization of Intelligent Detection Technology for Train Operation and Freight Train Loading States

作　　者：顾闻 Gu Wen(Wuhan Branch,China Railway Major Bridge Reconnaissance&Design Institute Co.,Ltd.,Wuhan 430074,China)

机构地区：[1]中铁大桥勘测设计院集团有限公司武汉分公司,武汉430074

出　　处：《铁路通信信号工程技术》2023年第5期48-52,56,共6页Railway Signalling & Communication Engineering

摘　　要：该技术优化用于解决目前车站接/发列车作业和货检作业依靠人工全程盯控和主观判定的传统作业方式,存在的“拿不准”“强度高”“效率低”等问题。通过有效整合检测点采集数据,综合运用图像智能识别、语音识别、热成像、机器学习算法及系统集成等技术,同时对列车运行状态及货车装载状态进行多方位、多角度、多类型的智能检测,实现对列车各项异常状态的自动识别、标注及语音报警。对全面提升接/发列车作业和货检作业的质量和效率,以及保障铁路安全运输具有极其重要的意义。The proposed technical optimization is used to solve such problems as"uncertainty","high intensity"and"low effi ciency"in the traditional operation mode of the current station train receiving and departure operations and railway cargo inspection operations relying on manual whole-process monitoring and subjective judgment.The various collected data at the detection points are eff ectively integrated,such technologies as intelligent image recognition,speech recognition,thermal imaging,machine learning algorithm and system integration are comprehensively utilized,and the train operation and freight train loading states are intelligently detected in the multiple-direction,multipleangle and multiple-type manner,to achieve the automatic recognition and labeling of and voice alarming for various abnormal train states.This study has great signifi cance for the comprehensive improvement of the quality and efficiency of train receiving and departure operations and freight inspection operation,and also the guarantee of the safety of railway transportation.

关 键 词：智能化检测 图像处理智能算法 语音识别 异常状态自动标注 语音报警 

分 类 号：U294.2[交通运输工程—交通运输规划与管理]