基于云平台的井下微功率微震监测物联网系统

Da Zhang, Hu Ji, Hao Ji, Qi Lou
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引用次数: 0

摘要

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。
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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.
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