A Comprehensive Evaluation of Intelligent Coal Mine Ventilation Systems in the Internet of Things

The intelligent coal mine ventilation system requires the application of Internet of Things technologies to ensure coal mine safety. It is a complex, random and dynamic system with many influencing factors. A scientific and reasonable evaluation of such a system could result in a reduction of wind-induced accidents including gas, fire, and suffocation. In view of this, this paper attempts to analyze the internal and external working principles of the coal mine ventilation system, and then to establish a ventilation quality evaluation index for the intelligent coal mine ventilation system from four aspects, namely, the environment, facilities, equipment, and ventilation quality of the intelligent ventilation system. Finally, this study involves the construction of different membership functions for different elements, and proposes a comprehensive method of evaluating the intelligent coal mine ventilation system based on probabilistic neural networks. An example is given to verify the effectiveness of the proposed method of evaluation, the results of which show that it can be used to evaluate the intelligent ventilation systems of coal mines effectively, showing an excellent evaluation value of 0.912.