Aiming at the shortcomings of step control and fuzzy control used in tunnel ventilation,a fuzzy PID intelligent algorithm based on LSTM traffic flow prediction is proposed.The LSTM algorithm is used to predict the future pollutant trend,and the fan is turned on in advance according to the calculated air demand to improve the lag of the system,and the fuzzy PID algorithm is used to accurately control the fan.The control system of"Internet+Tunnel Ventilation"is constructed by introducing the Internet of Things technology,and the collected data is uploaded to the cloud platform by using PLC gateway,so that operators can check the data of each node of the tunnel anytime and anywhere and remotely control the equipment.The simulation data show that the overshoot of the algorithm is 4%,the adjustment time is 68.60%shorter than that of fuzzy control,and it has strong robustness.
关键词
LSTM交通流预测/模糊PID/物联网/PLC网关/云平台
Key words
LSTM traffic flow prediction/Fuzzy PID/Internet of things/PLC gateway/Cloud platform
维普
万方数据