基于RSSI技术的矿山物联网检测技术研究

Jian Ming, Aibing Jin, Jinhai Sun, D. Hu, Yan Xia
{"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}
引用次数: 0

摘要

矿山物联网(感知矿山)是基于物联网(IOT)和数字矿山的理论和技术,对人员、设备和矿山环境进行检测和控制,提高对矿山生产中人员和设备运行状态的感知能力和风险控制能力。结合井下作业环境特点和工程布置,进行了RSSI测距的现场试验。根据现场试验结果,建立了rssi -距离关系模型。采用三边定位模型和BP神经网络定位模型对节点定位数据进行处理和分析。介绍了一种基于RSSI距离测量的矿山塌方监测方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信