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YUAN Liang. Framework and key technologies of Internet of things for precision coal mining[J]. Journal of Mine Automation, 2017, 43(10): 1-6. DOI: 10.13272/j.issn.1671-251x.2017.10.001
Citation: YUAN Liang. Framework and key technologies of Internet of things for precision coal mining[J]. Journal of Mine Automation, 2017, 43(10): 1-6. DOI: 10.13272/j.issn.1671-251x.2017.10.001
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Framework and key technologies of Internet of things for precision coal mining

  • 1.

    Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources, China University of Mining and Technology (Beijing), Beijing 100083, China

  • 2.

    School of Resource and Safety Engineering,

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  • On the basis of analyzing existing problems of coal mine production logistics system, concept and connotation of Internet of things(IoT) for precision coal mining were proposed and five key technologies were condensed by summarizing scientific conception of precision coal mining and development of mine IoT, which were intelligent perception of multi-source information, multi-network fusion transmission, multi-parameter information analysis and processing, disaster monitoring and early warning based on cloud technology and mine disaster emergency rescue. It was pointed out that precision coal mining based on transparent earth and intelligent perception based on IoT were two major technical systems to realize future unmanned mining, precision coal mining was technology core, and IoT was technical guarantee. Taking IoT for dynamic disaster precision early warning of coal mine as an example, its system framework was expounded including perception layer, network layer, application layer and public technology, and its engineering application was introduced, which directed technology route for precision coal mining.
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    4. 石耀龙，黄家林，郭靖，苏斌，查国才. 屯宝煤矿综合智能化监控平台建设与数据处理应用分析. 煤矿机械. 2023(01): 194-198 .
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    8. 原长锁，王峰. 综采工作面透明化开采模式及关键技术. 工矿自动化. 2022(03): 11-15+31 . 本站查看
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