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

YI Xin; HU Zhen; WANG Weifeng; DENG Jun

Safety in Coal Mines > 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.

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.

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

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Published Date: September 19, 2022

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Abstract

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.
- coal mine intelligence,
- coal spontaneous combustion,
- intelligent monitoring,
- accurate early warning,
- machine learning

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

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