Dynamic evaluation of mine ventilation quality based on FCE-AHP

The existing evaluation method of mine ventilation system is to evaluate it as a whole from the overall perspective of mine ventilation system. The evaluation conclusions are static and comprehensive, which cannot precisely locate the ventilation situation in the wind range of the mine and discover its problems, and can not reflect the current state of ventilation quality in real time. In order to solve the above problems, a dynamic evaluation model of mine ventilation quality based on fuzzy comprehensive evaluation method-analytic hierarchy process(FCE-AHP) is established to evaluate the ventilation quality of coal mines in real time. Firstly, according to the requirements and functions of mine ventilation, the ventilation area is divided into five areas, namely, air inlet section, air return section, coal working face, heading face and chamber. And the corresponding evaluation index system is determined according to each type of ventilation area. Secondly, according to the evaluation index system, the data monitored in real time by the sensors of corresponding wind measuring points are obtained, the evaluation index weights of each area are determined by AHP. And the membership degree of the evaluation level belonging to the real-time monitoring data is calculated by the Cauchy distribution membership function. Finally, the rating weights are calculated by applying FCE, and the regional ventilation quality level is determined by the confidence recognition principle so as to complete the dynamic evaluation of the ventilation quality of each region. Taking the south wing of return airway of Dongtan Coal Mine as an example, the FCE-AHP model is used to evaluate the ventilation quality of Dongtan Coal Mine in real time. The evaluation results show that the ventilation quality is good and is consistent with the actual situation, which proves the reliability of the model. The FCE-AHP model can evaluate the ventilation quality of different ventilation areas of coal mines in real time based on the data monitored in real time, determine the safety level of coal mine ventilation quality, then achieve a comprehensive evaluation of mine ventilation quality, and provide a basis for improving the quality of coal mine ventilation systems.