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。
Aimed at the problem of single strategy of tunnel ventilation system control and low intelligence, fuzzy control was applied to tunnel ventilation control. Considering various factors associated with the ventilation system which affecting the operation, the difference between real-time detected value and set value of CO concentration and that of visibility were selected as the input of fuzzy controller, the fuzzy control algorithm of the tunnel ventilation was designed and the related simulation was performed with Matlab. Experimental comparison with traditional stepped control method shows that the fuzzy control algorithm can take advantage of flexible control strategy to dynamically adjust the number of fans, improve the tunnel air environment, decrease the start/stop frequency of fans, and reduce equipment loss.