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作 者:周瑞鸿 黄凯峰 李彦 窦礼同 Zhou Ruihong;Huang Kaifeng;Li Yan;Dou Litong(School of Mechanical and Electrical Engineering,Huainan Normal University,Huainan,Anhui 232038,China;National Coal Mining Engineering Technology Research Institute,Huainan,Anhui 232001,China)
机构地区:[1]淮南师范学院机械与电气工程学院,安徽淮南232038 [2]深部煤矿采动响应与灾害防控国家重点实验室,安徽淮南232001
出 处:《黑龙江工业学院学报(综合版)》2022年第4期83-90,共8页Journal of Heilongjiang University of Technology(Comprehensive Edition)
基 金:安徽省教育厅自然科学基金项目(项目编号:KJ2019A0692);淮南师范学院自然科学基金项目(项目编号:2018xj17zd);国家自然科学基金项目(项目编号:61702008)。
摘 要:铁路提速和行车密度增大造成设备维修作业量不断增加、天窗点时间难以满足铁路维修需求。若存在超时或错点作业时,则会影响维修人员的安全及铁路运营。针对目前铁路现场作业防护中人工瞭望方法效率低、雷达预警误警率高和GPS预警受限于环境条件等问题,提出一种基于差分与光流结合的列车接近预警方法,利用差分法简单快捷和光流准确度高的优势进行列车检测。该方法对现场环境条件要求低,能够准确检测到驶入防护区段的列车并报警。The increase in railway speed and traffic density has resulted in the continuous increase of equipment maintenance operations,the set time is difficult to meet the needs of railway maintenance.If there is an overtime or wrong operation,it will affect the safety of maintenance personnel and railway operations.Aiming at the problems of low efficiency of artificial lookout method,high false alarm rate of radar warning and limited environmental condition of GPS warning in current railway site operation protection,a train approach warning method based on the combination of differential and optical flow is proposed,which uses the advantages of simple and fast differential method and high accuracy of optical flow to detect trains.The method has low requirements on the on-site environment,and can accurately detect the train entering the protected section and alarm.
分 类 号:TP39[自动化与计算机技术—计算机应用技术] TU478[自动化与计算机技术—计算机科学与技术]
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