Abstract: A set of coal mine networking monitoring big data analysis architecture is proposed based on the content of coal mine safety monitoring and personnel positioning networking data. The architecture includes five data analysis models, including gas micro fluctuation analysis, gas deviation mean value analysis, gas rising trend analysis, fatigue operation analysis, and trajectory similarity analysis. It uses big data analysis technology to conduct data mining and analysis from massive coal mine network monitoring data to find high-value data, and on this basis, design a set of coal mine big data analysis system for remote coal mine supervisors. The system includes multiple functional modules such as comprehensive data board, gas special analysis and personnel special analysis, and uses multiple visualization methods such as scatter charts, area charts, and Nightingale rose charts to display the results of data mining analysis.