为加强矿井火灾智能监测预警系统建设，提出了矿井火灾智能监测预警技术研究思路，从矿井火灾智能感知技术及装备、预测技术及模型、智能预警系统及平台3方面综述了矿井火灾智能监测预警技术研究进展。首先，总结了内外因火灾信息监测技术及装备，归纳了基于图像视频识别的识别流程，阐述了多源信息融合在火灾监测过程中的应用情况。其次，介绍了矿井火灾的预测技术及模型，包括支持向量机、人工神经网络、随机森林算法等机器学习算法。然后，阐述了矿井火灾预警系统及平台：在总结矿井煤自燃和外因火灾分级预警技术的基础上，介绍了矿井火灾预警系统平台的感知层、网络层、服务融合层以及应用层方面的进展内容；归纳了预警系统各层的内涵及应用框架；搭建了矿井火灾智能监测预警系统。最后，展望了我国矿井火灾智能监测预警技术的未来发展趋势，具体包括：在矿井火灾信息智能感知技术方面，提出加强传感技术及装备研发；在矿井火灾智能预测技术方面，提出加强隐蔽火源的位置探寻方法研究，构建火灾灾害透明化模型；在矿井火灾智能预警系统建设方面，提出将大数据融入智能判识，查明矿井火灾风险源及隐蔽火源位置的预报，实现特殊条件下煤自燃的预警。在矿井火灾智能判识与防控技术联动方面，提出利用大型语言模型在智能判识的基础上实现对矿井火灾的自适应防控。

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.