中国矿山工程

This study aims to analyze the requirements, system architecture, and implementation methods of existing big data integrated analysis and prediction warning platforms, and to design and construct a coal mine safety assessment system based on comprehensive risk information management using the Python programming language. The system integrates data from various aspects such as the environment, equipment, and personnel, utilizing machine learning models for dynamic early warning and comprehensive assessment of coal mine safety risks. The operational results of the system indicate that it is feasible and practical, providing significant support for holistic management of coal mine safety, helping to improve safety management levels and reduce the occurrence of accidents.