Abstract: In view of the shortcomings of equipment operation data monitoring and video monitoring of the intelligent working face, combined with the requirements of real-time monitoring of the state of the complete set of equipment of the intelligent working face, a multi-information-driven intelligent working face 3D visualization monitoring method based on digital twin technology was proposed.The existing problems of equipment monitoring, video monitoring and three-dimensional visualization of coal mining face were analyzed, and the feasibility, design ideas, technical routes and key technologies of applying digital twin technology to intelligent production process monitoring were systematically explained. The equipment sensor supporting of coal mining machine, digital twin three-dimensional monitoring system architecture, precise equipment modeling, digital twin construction of working face, model data-driven algorithm, real-time data collection, operation data management analysis, human-computer interaction interface design, etc. were carried out as well. Based on the large mining height intelligent working face of a mine in China Coal Ordos Energy Chemical Co., Ltd., a set of digital twin 3D monitoring system for the working face has been developed, which is embedded with 3D display, data monitoring and mining process simulation function modules, and integrates equipment sensor data and production operation control data, historical data, personnel positioning data and related derived data, etc., in order to realize real-time three-dimensional dynamic monitoring of complete sets of equipment on the working face, three-dimensional fusion display of data and models, diagnosis and early warning of equipment abnormal conditions, analysis and management of working conditions and production data, and automated mining process virtual simulation, etc. Practical applications have proved that the system can intuitively reproduce and accurately describe the equipment status, provide systematic management of the operating data and production data of the working face equipment, and improve the monitoring effect.