Study On The Neural Netwoks On-Line Control Method Of Highway Tunnel Longitudinal Ventilation By The Blowing And Exhausting Shaft

Being energy saving, shaft blowing and exhausting longitudinal ventilation is widely used in long and large road tunnel ventilation. Because road tunnel ventilation system has strong non-linear characteristic and it is difficult to gain the precise mathematical model by using the traditional linear control theory, the modem control methods become the trend for the road tunnel ventilation control, such as the fuzzy control, neural networks control and FNNC. However, there are some difficulties with the establishment of the fuzzy membership functions and the rule base. This paper involves the research of the application of shaft blowing and exhausting longitudinal ventilation on-line control method.To get the same ventilation effect, various combinations of ventilation equipments are put into operation, but their energy consumption are different. This paper adopts the method of non-linear programming to seek the best combination of ventilation equipments under different traffic and tunnel contamination conditions and at different periods of time. Through the numerical simulation, the conclusion is drawn that it is feasible to solve the problem of combination of ventilation equipments with the method of non-linear programming.This paper also studies the general steps to establish neural networks on-line controller and establishes the neural networks on-line controller of shaft blowing and exhausting longitudinal ventilation. Through the combination of non-linear programming and numerical simulation, the sample data is obtained to initialize neural networks on-line controller. Then establish the computer simulation program of tunnel blowing and exhausting longitudinal ventilation and simulate tunnel ventilations under various traffic flows to evaluate the control effect with MATLAB. Finally, this paper discusses the adaptability of neural networks on-line control system.The simulation of pollutants distribution and the operations of ventilation equipments under various traffic conditions shows that long and large road tunnels can be effectively controlled with the method of shaft blowing and exhausting longitudinal ventilation. It can solve the problem of the inadaptability to the circumstances of the present tunnel ventilation intelligent control method. Neural network on-line control method is very practical in long and large road tunnel shaft blowing and exhausting longitudinal ventilation. This paper provides important reference for the road tunnel ventilation control and design.