Abstract: The data middle platform is the data base of intelligent coal mine construction and the foundation of coal mine big data application. This paper proposes the idea of intelligent coal mine data middle platform construction, including data aggregation, data development, data storage, data asset management and data service. This study designs the intelligent coal mine data middle platform architecture, analyzes the data standard specification, big data basic support, data aggregation, data development, data resource pool, data asset management, data service, operation and maintenance guarantee and other function modules of the data middle platform. This paper discusses the solutions of key technologies such as large concurrency and low latency data processing, data classification and storage, data governance, and the construction of big data-based coal mine disaster-risk model in the process of building an intelligent coal mine data middle platform. The application shows that the intelligent coal mine data middle platform realizes data aggregation, data development, as well as the data classification and storage of various perception data, basic data and management data, data asset management, data modeling, model training and data services, etc. The platform makes the multi-source heterogeneous data of coal mines change from data resources to data assets, provides applications such as scheduling decision, disaster risk analysis, equipment health diagnosis and preventive maintenance based on big data, and solves the problems of serious information silos, difficult data integration and low level of intelligent analysis in coal mines.