{"title":"Emergency Command System for Urban Road Lighting Fault Diagnosis and Maintenance","authors":"Chen Liang, Lei Liu, Li Xie, Xulan Shen","doi":"10.1109/ICEIEC49280.2020.9152348","DOIUrl":null,"url":null,"abstract":"Emergency command for urban road lighting fault diagnosis and maintenance is an integral part of the field of smart city. The main contributions of this research are to design an emergency command system that can accurately detect the road lamp failure and plan the optimal path for the maintenance engineer to the fault road lamp node. Firstly, the fault diagnosis model is established for road lamp based on Rough Set theory. Then, the optimal path is planned from maintenance station to failure lamp location by the Dijkstra algorithm. Finally, the software of fault detection and emergency command system is developed for urban road lighting. The experimental results show the effectiveness and feasibility of the proposed system.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIEC49280.2020.9152348","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
Emergency command for urban road lighting fault diagnosis and maintenance is an integral part of the field of smart city. The main contributions of this research are to design an emergency command system that can accurately detect the road lamp failure and plan the optimal path for the maintenance engineer to the fault road lamp node. Firstly, the fault diagnosis model is established for road lamp based on Rough Set theory. Then, the optimal path is planned from maintenance station to failure lamp location by the Dijkstra algorithm. Finally, the software of fault detection and emergency command system is developed for urban road lighting. The experimental results show the effectiveness and feasibility of the proposed system.