Design and Application of Immersive Virtual Simulation System in Electric Power Training
Power training is an important guarantee to improve the operation ability of grid employees, reduce the misoperation rate and power safety accidents. However, traditional written training does not have a good effect on the operation of complex skills. This paper develops a set of immersive simulation training system based on virtual reality technology, which provides a brand new training experience. The immersive operation experience enables users to have a more profound memory of each operation process and improves the training effect. In the system design, Extensible Markup Language (XML) and the interpreter pattern meet the personalized needs of power training and restore each process of training in a concrete way. 3D Studio Max and Unity engine are used to construct the virtual scene. Level of Detail technology (LOD) is applied to optimize the rendering resource allocation, improve the simulation system’s fidelity and response speed. In addition, this paper innovatively adopts the feature vector pattern recognition algorithm and deep learning strategy to solve the problem that the HTC Vive tracker cannot recognize user gestures. The actual application results show that the simulation system provides users with a more real sense of immersion, and the feature vector pattern recognition algorithm can effectively recognize users’ specific gestures. After 1200 tests on different users, the recognition rate of some gestures exceeds 97%, which provides a feasible idea for more complex human-computer interaction. Recently, the system has been successfully applied to Hainan Electric Power Training Center to improve the training effort of electric power employees.