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    矿井“人-机-环”集成可视化智能监控平台研究与应用

    Research and applications of “man-machine-environment” integrated visualintelligent monitoring platform in coal mine

    • 摘要: 随着煤矿智能化建设的发展,监控系统已成为智能矿山建设的重要内容,然而现有监控系统存在数据相互独立、共享性差、数据计算延迟等问题,已严重影响煤矿的安全生产。通过整合矿山人员、设备和环境三大要素,分析其建设需求与问题,从数据采集、传输、处理、存储和应用的全生命周期展开设计,提出了一种矿井“人-机-环”集成可视化智能监控平台。介绍了该平台实现的功能、架构设计以及关键技术。通过在山西天地王坡煤矿实际应用表明,该平台应用多线程、大数据、5G、工业以太网及多协议驱动加载等技术,实现了数据的融合集成与多元共享;通过云边协同处理技术在边缘端对数据进行处理和存储,不仅提高了数据处理的实时性和可靠性,而且提升了矿山的安全管理能力。

       

      Abstract: With the development of smart mine construction, the monitoring system has become a critical component. However, the existing monitoring system suffer from issues such as data isolation, poor sharing, and data calculation delay, which seriously affected the safe production of mines. In view of the above problems, this study integrates three core elements: mine personnel, equipment and environment, analyzes their construction needs and problems, designs from the whole life cycle of data acquisition, transmission, processing and application, and proposes a “man-machine-environment” integrated visual intelligent monitoring platform. The platform’s functions, architectural design, and key technologies are elaborated. Practical implementation at Shanxi Tiandiwangpo Coal Mine demonstrates that the platform realizes data fusion and multi-dimensional sharing by applying multi-threading technology, big data, 5G, industrial Ethernet and multi-protocol driven loading technology. Through the cloud edge collaborative processing technology, data is processed and stored at the edge end, enhancing the real-time and reliability of data processing, thereby improves the safety management ability of the mine.

       

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