Abstract: In response to the difficult problems of safety monitoring such as low monitoring accuracy,poor real-time performance,limited coverage area and others in Huafeng Coal Mine,a coal mine safety monitoring system based on Internet of Things is studied and constructed to improve safety management level.The system design integrates multi-sensor network,wireless communication technology,cloud computing,and big data analysis to achieve real-time collection and remote transmission of environmental parameters such as gas concentration,CO concentration,dust concentration and so on in the mine.In-depth data analysis is conducted through machine learning algorithms.The system can automatically issue early warnings,prompting mine management personnel to take emergency measures.The experiment shows that this monitoring system significantly improves data collection accuracy and response speed,reduces potential accident risks,and provides effective support for coal mine safety production.