Abstract: In order to solve the difficulties in monitoring and testing the operation mode of fully mechanized mining equipment in coal mines, and to improve the intelligent level of fully mechanized mining working faces in coal mines, key technologies for virtual production of fully mechanized mining equipment based on digital twins and virtual reality were studied, and a virtual production system for fully mechanized mining equipment driven by digital twins was constructed. Based on digital Li Sheng modeling technology, a theoretical method for three-dimensional virtual reconstruction of mines is proposed by analyzing geometric and kinematic relationships; Based on the dynamic simulation technology of fully mechanized mining equipment and the virtual on-site technology of fully mechanized mining equipment, an offline simulation system for virtual fully mechanized mining working face has been constructed; Based on data-driven virtual real bidirectional interaction mapping technology and virtual monitoring technology, a virtual real interaction channel was established to achieve twin data transmission and iterative optimization, and a semi physical simulation system for fully mechanized mining face was constructed; The offline simulation system of the above virtual fully mechanized mining face and the semi physical simulation system of the fully mechanized mining face were integrated into a digital twin driven virtual production system of fully mechanized mining equipment and tested. The results showed that the constructed virtual working face offline simulation system can achieve accurate and reliable twin simulation of the physical working face, and the semi physical simulation system of the fully mechanized mining face can enable the virtual hydraulic support to accurately execute the actions issued. The application of key technologies and systems for virtual production of fully mechanized mining equipment is expected to provide new ideas for the intelligent monitoring and operation of fully mechanized mining equipment in coal mines, and bring positive impacts on improving production efficiency, reducing production costs, and reducing accident risks in coal mines.