针对隧道通风系统存在的控制策略单一、智能化程度较低的问题,将模糊控制应用在隧道通风控制中。考虑与通风系统运行相关的各种影响因素,选取实时检测的CO浓度和能见度值与设定值的差作为模糊控制器的输入,对隧道通风模糊控制算法进行设计和Matlab仿真。通过与传统隧道通风的分档控制方法进行试验比较,发现模糊控制算法可以利用灵活的控制策略,动态调整风机数量,改善隧道空气环境,降低风机的启停频率,并降低设备损耗。 In view of the single control strategy and low intelligence level of the tunnel ventilation system, the fuzzy control is applied to tunnel ventilation control. Considering various influencing factors related to the operation of ventilation system, the difference between CO concentration, visibility and set value of real-time detection is selected as the input of fuzzy controller. The tunnel ventilation fuzzy control algorithm is designed and simulated by Matlab. By comparing with the traditional tunnel ventilation control method, the fuzzy control algorithm can find out that the fuzzy control algorithm can utilize flexible control strategy to dynamically adjust the number of fans, improve the tunnel air environment, reduce the fan start-stop frequency and reduce equipment losses.