易欣, 胡震, 王伟峰, 邓军. 煤自然发火智能监测与早期预警关键技术[J]. 煤矿安全, 2022, 53(9): 31-37.
    引用本文: 易欣, 胡震, 王伟峰, 邓军. 煤自然发火智能监测与早期预警关键技术[J]. 煤矿安全, 2022, 53(9): 31-37.
    YI Xin, HU Zhen, WANG Weifeng, DENG Jun. Key technologies for intelligent monitoring and early warning of coal spontaneous combustion[J]. Safety in Coal Mines, 2022, 53(9): 31-37.
    Citation: YI Xin, HU Zhen, WANG Weifeng, DENG Jun. Key technologies for intelligent monitoring and early warning of coal spontaneous combustion[J]. Safety in Coal Mines, 2022, 53(9): 31-37.

    煤自然发火智能监测与早期预警关键技术

    Key technologies for intelligent monitoring and early warning of coal spontaneous combustion

    • 摘要: 煤自燃灾害是煤炭开采过程中主要的灾害之一。对煤自燃多源立体参数的获取、数据的深度分析、数学模型的建立以及精准预测是煤矿企业生产的基本保障。从煤自燃多源立体参数的监测手段、数学分析和预测方法3个方面综述了煤自燃监测预警的研究和应用的基本现状,并进一步展望了煤自燃智能监测及精准预测未来发展方向。

       

      Abstract: Coal spontaneous combustion disaster is one of the main disasters in the process of coal mining. The acquisition of multi-source three-dimensional parameters of spontaneous coal combustion, the in-depth analysis of data, the establishment of mathematical models and accurate prediction are the basic guarantee for the production of coal mining enterprises. This paper summarizes the basic status of research and application of coal spontaneous combustion monitoring and early warning from three aspects: monitoring methods, mathematical analysis and prediction methods of coal spontaneous combustion multi-source three-dimensional parameters, and further prospects the future development direction of coal spontaneous combustion intelligent monitoring and accurate prediction.

       

    /

    返回文章
    返回