Fuzzy comprehensive evaluation of virtual reality mine safety training system

Effective safety training is an indispensable means to ensure mine safety. Virtual Reality (VR) technology is a promising method to improve training efficiency. At present, research on VR mine safety training is limited; it focuses mainly on the implementation of a VR training system rather than the evaluation of the techniques and methods employed, which is far more important. The evaluation of a VR safety training system mainly includes the selection of indicators, calculation of weights, and a comprehensive evaluation of the system components. This paper presents a comprehensive evaluation of the VR mine safety training system with the analytic hierarchy process and the fuzzy logic technology. Firstly, by analyzing the components of the VR system, the weights of the system components and the main elements of each part are determined; the most important part is the software, which has a weight of 49.62%. Secondly, the fuzzy logic of each element will give a comprehensive evaluation result of the system. An existing VR training system is evaluated, and the result appears to be moderate. The main disadvantage of the system is the lack of realism, the absence of user data record, and the limited degree of freedom of the VR scene. Through this method, the VR training system can be scientifically and efficiently evaluated, and the system shortcomings can be derived from the evaluation results, so that the system can be improved in future, thereby ensuring the effectiveness of the system itself, and laying a solid foundation for safety training.