A Cloud Platform-based Micro-Power Microseismic Monitoring IoT System for Underground Mine

Da Zhang, Hu Ji, Hao Ji, Qi Lou
{"title":"A Cloud Platform-based Micro-Power Microseismic Monitoring IoT System for Underground Mine","authors":"Da Zhang, Hu Ji, Hao Ji, Qi Lou","doi":"10.1109/IAI50351.2020.9262191","DOIUrl":null,"url":null,"abstract":"In view of the challenging problems of low reliability, small coverage, high cost, poor maintenance and inadequate early warning, which have been the bottleneck in microseismic monitoring of underground mines, a new cloud platform-based micro-power microseismic monitoring IoT system is proposed, which can be used as an effective technical feedback for real-time mining operation optimization. The proposed system has broken through key technologies such as smart sensing, micro-power acquisition, fault diagnosis and online intelligent analysis, has been successfully applied in mining enterprises. Site test shows that the proposed system is more reliable in harsh mining conditions than traditional systems. The microseismic sensor's SNR is increased by 1.4 times, the comprehensive energy consumption is reduced obviously and the online analysis and warning services can be achieved via safety monitoring and analysis cloud platform.","PeriodicalId":137183,"journal":{"name":"2020 2nd International Conference on Industrial Artificial Intelligence (IAI)","volume":"1519 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Industrial Artificial Intelligence (IAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI50351.2020.9262191","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

In view of the challenging problems of low reliability, small coverage, high cost, poor maintenance and inadequate early warning, which have been the bottleneck in microseismic monitoring of underground mines, a new cloud platform-based micro-power microseismic monitoring IoT system is proposed, which can be used as an effective technical feedback for real-time mining operation optimization. The proposed system has broken through key technologies such as smart sensing, micro-power acquisition, fault diagnosis and online intelligent analysis, has been successfully applied in mining enterprises. Site test shows that the proposed system is more reliable in harsh mining conditions than traditional systems. The microseismic sensor's SNR is increased by 1.4 times, the comprehensive energy consumption is reduced obviously and the online analysis and warning services can be achieved via safety monitoring and analysis cloud platform.
基于云平台的井下微功率微震监测物联网系统
针对目前地下矿山微震监测存在的可靠性低、覆盖范围小、成本高、维护差、预警不足等瓶颈问题,提出了一种基于云平台的新型微功率微震监测物联网系统,该系统可作为实时优化采矿作业的有效技术反馈。该系统突破了智能传感、微功率采集、故障诊断和在线智能分析等关键技术,已成功应用于矿山企业。现场试验表明,该系统在恶劣采矿条件下比传统系统更可靠。微震传感器信噪比提高1.4倍,综合能耗明显降低,并可通过安全监测分析云平台实现在线分析预警服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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