Research progress and prospect of mine fire intelligent monitoring and early warning technology in recent 20 years

• Published in: Meitan kexue jishu
• Main Authors: Jun DENG, Xin LI, Kai WANG, Weifeng WANG, Jun YAN, Zongqing TANG, Furu KANG, Shuaijing REN
• Format: Article
• Language: Chinese
• Published: Editorial Department of Coal Science and Technology 2024-01-01
• Subjects: spontaneous coal combustion; monitoring techniques; exogenous fires; fire source identification; early warning systems; mine fire; fire monitoring
• Online Access: http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2023-2016

In order to strengthen the construction of mine fire intelligent monitoring and early warning system, the research idea of mine fire intelligent monitoring and early warning technology, and summarizes the research progress of mine fire intelligent monitoring and early warning technology is put forward. The research progress from three aspects of mine fire intelligent perception technology and equipment, prediction technology and modeling, and intelligent early warning system and platform is summarized. First, the internal and external cause fire information monitoring technology and equipment are summarized, the recognition process based on image-video recognition is summarized, and the content of multi-source information fusion and its application in the fire monitoring process are described. Secondly, the prediction techniques and models for mine fires are introduced, including machine learning algorithms such as support vector machine, artificial neural network, and random forest algorithms. Then, the mine fire early warning system and platform are elaborated. On the basis of summarizing the graded early warning technology for spontaneous coal combustion and exogenous fires in mines, the progress of the mine fire early warning system platform in terms of perception layer, network layer, service fusion layer and application layer is introduced. The connotation of each layer of the early warning system and the application framework are summarized, and the intelligent monitoring and early warning system for fires in mines is constructed. Finally, the future development trend of mine fire intelligent monitoring and early warning technology in China is outlooked including following aspects. In terms of intelligent perception technology of mine fire information, it is proposed to strengthen the research and development of sensing technology and equipment. In terms of intelligent prediction technology for mine fires, it is proposed to strengthen the research on the location exploration method of hidden fire sources and construct a transparent model of fire disasters. In terms of the construction of an intelligent early warning system for mine fires, it is proposed to integrate big data into intelligent judgment, identify the risk sources of mine fire and forecast the sources’ location of hidden fire, and realize the early warning of spontaneous coal combustion under special conditions. In terms of the linkage between the intelligent judgment and prevention and control technology for mine fires, it is proposed to utilize large-scale linguistic models to realize the self-adaptive prevention and control of mine fires on the basis of intelligent judgment.