{"title":"基于RSSI技术的矿山物联网检测技术研究","authors":"Jian Ming, Aibing Jin, Jinhai Sun, D. Hu, Yan Xia","doi":"10.1109/WOCC.2019.8770663","DOIUrl":null,"url":null,"abstract":"Based on the theory and technology of Internet of Things(IOT) and digital mine, the Mine Internet of Things (perception Mine) is used to detect and control of the personnel, equipment and mine environment, which can improve the ability of perceiving the operation status of the personnel and the equipment and controlling risks in mining production. Field experiments of RSSI distance measurement were conducted on account of characteristics of the operational environment and engineering arrangements of the underground mine. In view of field experiments results, the RSSI-distance relation model was established. The trilateration positioning model and BP neural network positioning model were used to process and analyze the node positioning data. The mine cave-back monitoring method based on RSSI distance measurement is introduced.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on the Detecting Technology of Mine Internet of Things Based on RSSI Technology\",\"authors\":\"Jian Ming, Aibing Jin, Jinhai Sun, D. Hu, Yan Xia\",\"doi\":\"10.1109/WOCC.2019.8770663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the theory and technology of Internet of Things(IOT) and digital mine, the Mine Internet of Things (perception Mine) is used to detect and control of the personnel, equipment and mine environment, which can improve the ability of perceiving the operation status of the personnel and the equipment and controlling risks in mining production. Field experiments of RSSI distance measurement were conducted on account of characteristics of the operational environment and engineering arrangements of the underground mine. In view of field experiments results, the RSSI-distance relation model was established. The trilateration positioning model and BP neural network positioning model were used to process and analyze the node positioning data. The mine cave-back monitoring method based on RSSI distance measurement is introduced.\",\"PeriodicalId\":285172,\"journal\":{\"name\":\"2019 28th Wireless and Optical Communications Conference (WOCC)\",\"volume\":\"238 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 28th Wireless and Optical Communications Conference (WOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOCC.2019.8770663\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 28th Wireless and Optical Communications Conference (WOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCC.2019.8770663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on the Detecting Technology of Mine Internet of Things Based on RSSI Technology
Based on the theory and technology of Internet of Things(IOT) and digital mine, the Mine Internet of Things (perception Mine) is used to detect and control of the personnel, equipment and mine environment, which can improve the ability of perceiving the operation status of the personnel and the equipment and controlling risks in mining production. Field experiments of RSSI distance measurement were conducted on account of characteristics of the operational environment and engineering arrangements of the underground mine. In view of field experiments results, the RSSI-distance relation model was established. The trilateration positioning model and BP neural network positioning model were used to process and analyze the node positioning data. The mine cave-back monitoring method based on RSSI distance measurement is introduced.