{"title":"基于云平台的井下微功率微震监测物联网系统","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":"{\"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}","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}
A Cloud Platform-based Micro-Power Microseismic Monitoring IoT System for Underground Mine
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.