Lu Yulong, Shen Haiyan, Xie Yalong, Yang Xinglei, Yang Lingling
{"title":"Research on the Optimization Strategy, Model and Method of Station Deployment for Accurate Positioning in Communication Blind Zone","authors":"Lu Yulong, Shen Haiyan, Xie Yalong, Yang Xinglei, Yang Lingling","doi":"10.1109/IMCEC51613.2021.9482358","DOIUrl":null,"url":null,"abstract":"According to the characteristics of communication blind area along the railway line and the surroundings, based on the requirements for real-time and rapid safety management and emergency rescue of trains and front-line building, construction, joint-testing and operation personnel in case of high-risk operation and far transmission, a UWB(ultra-wide band) wireless sensor network positioning technology is proposed to meet the needs of people and vehicle positioning by comparing and analyzing several positioning technologies suitable for the closed area in tunnels (indoor) in this paper. In addition, the grid-based station deployment strategy and the optimized deployment model based on grid points are studied, and the genetic algorithm is applied to station deployment optimization. The simulation and experiment results show that this strategy has the advantages of wide coverage, high coverage rate, high positioning accuracy, high reliability and so on, and has been applied effectively in the optimization of personnel positioning station deployment in a tunnel of Jinan-Laiwu high Speed Railway.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"405 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCEC51613.2021.9482358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
According to the characteristics of communication blind area along the railway line and the surroundings, based on the requirements for real-time and rapid safety management and emergency rescue of trains and front-line building, construction, joint-testing and operation personnel in case of high-risk operation and far transmission, a UWB(ultra-wide band) wireless sensor network positioning technology is proposed to meet the needs of people and vehicle positioning by comparing and analyzing several positioning technologies suitable for the closed area in tunnels (indoor) in this paper. In addition, the grid-based station deployment strategy and the optimized deployment model based on grid points are studied, and the genetic algorithm is applied to station deployment optimization. The simulation and experiment results show that this strategy has the advantages of wide coverage, high coverage rate, high positioning accuracy, high reliability and so on, and has been applied effectively in the optimization of personnel positioning station deployment in a tunnel of Jinan-Laiwu high Speed Railway.