Research and Design of Tunnel Ventilation Control System Based on Internet of Things
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.
LSTM traffic flow predictionFuzzy PIDInternet of thingsPLC gatewayCloud platform
万方数据
维普
