Research Of The Road Tunnel Ventilation Energy-saving Based On Fuzzy Control Model

With the development of highway construction in our country,The proportion ofhighway tunnel in the highway construction is also growing. The highway tunnel is arelatively closed special sections, Produced Vehicle in the process of moving all types ofexhaust and dust rolled up will affect the normal passage of vehicles in the tunnel, At thesame time types of exhaust gas in the tunnel driver will health hazard. Therefore, In order toensure that the vehicles in the tunnel normal driving and good driving environment. Needthrough the jet blower operation was carried out on the tunnel ventilation.However, due to the high road tunnel ventilation system operating expenses, At the sametime under the background of energy shortage in our country, How to reduce the operatingcosts of the tunnel ventilation system has become one of the key issues that need to beresolved in road tunnel construction and management. This article for highway tunnelventilation energy-saving system put forward new ideas for energy saving control based onneural network tunnel ventilation.Firstly, This article to the development of domestic and international road tunnelventilation system are described. This paper introduces the tunnel ventilation control method.Followed by a detailed description of three mathematical models (Aerodynamic models,pollutant models and traffic flow model) of the required air volume dilute the concentration ofvarious pollutants (Smoke concentration, CO concentration and the concentration of the odorin the air) in the tunnel and the tunnel ventilation system.In the traffic flow prediction model, BP neural network and RBF neural network trafficflow forecasting model simulation testing and comparative analysis, Choose a more suitableprediction model. In the Fuzzy control module, to TIELUGOU tunnel of HANNINGExpressway as the object of study, a detailed design of fuzzy controller by MATLABsimulation.Fuzzy control system for tunnel ventilation, to develop a set of fuzzy control rules, Onthis basis, the adjustment and optimization of control rules, and ultimately the optimum rulebase. Fuzzy controller based on the CO concentration values and traffic flow values,through fuzzy reasoning,tunnel need to start the fan stations is obtainedFinally, a comprehensive analysis of the energy consumption of the traditional controland intelligent control technology in the process of highway tunnel ventilation control,Concluded that save a lot of energy consumption compared with the traditional control, sothat the highway tunnel ventilation control system to theoretically optimized control costs andcontrol efficiency conclusions.