Abstract: Most of the existing mine ventilation system health evaluation methods use constant weights. The evaluation results easily deviate from the actual situation and cannot reflect the real state of the system. At the same time, there are many indexes selected, and the weight of each index is low, which makes it difficult to detect the impact of some indexes abnormalities on the overall health of the system. Based on the actual operating conditions and health evaluation requirements of mine ventilation system, 21 influencing factors are selected as the health evaluation indexes to construct the health evaluation index system of mine ventilation system. Fuzzy comprehensive evaluation, analytic hierarchy process and variable weight theory are used comprehensively to carry out the health evaluation of mine ventilation system. The analytic hierarchy process is used to determine the weights of evaluation indexes, the Hardarmard product variable weight model based on membership degree is used to calculate the index weights. The maximum membership degree criterion of fuzzy comprehensive evaluation is used to determine the health degree of mine ventilation system. This method is used to evaluate the health of a coal mine ventilation system. The results show that the evaluation result of this method is consistent with the actual situation. Compared with the evaluation method based on constant weight, the weights of the evaluation index of this method can be adjusted according to the actual situation so as to make the evaluation result more objective. Moreover, this method amplifies the impact of unhealthy indexes and highlights the potential system safety hazards, which attracts the attention of relevant personnel.