Optimal Control Of Tunnel Ventilation And Energy Saving Based On Fuzzy Control

Under the background of the rapid rise of China's economy and culture,the highway construction has entered an unprecedented stage of rapid growth.Highway tunnel,as a special section of highway construction and operation,has become a very important subject under the form of advocating the establishment of traffic information,intelligence and economy,and reducing the daily consumption of electric energy in the tunnel operation to the maximum extent.The existence of all kinds of exhaust gases in the tunnel will cause serious damage to the driver's health.Therefore,in order to make the vehicles in the tunnel have a good traffic environment,the energy consumption can be reduced as much as possible.For the immediate existence ofThe problem of energy shortage is of great significance for intelligent ventilation control of highway tunnels.(1)The development process of tunnel ventilation mode and control method is described.On the basis of this,this paper discusses the development and application of both at home and abroad.Combined with the standard of design code and the characteristic of tunnel itself,the design value of pollutant is given.The gas turbulence diffusion model is introduced in the process of calculating vehicle pollutant emission in tunnel,and the calculation model of tunnel air demand is established more accurately.(2)A grey forecasting model for short-term traffic volume is established.In order to overcome the lack of predictive ability of traditional control and the lag of the system,grey theory is used to build grey forecasting model to forecast traffic volume.The results show that the precision of the grey forecasting model can reach 98% under three different trends of traffic flow environment,and it can predict the change trend of traffic volume well.(3)The optimization of input parameters of fuzzy controller is studied.Aiming at the stability of the control rules of the traditional fuzzy controller,particle swarm optimization algorithm is introduced to optimize the input parameters of the controller,and the utilization ratio of the input quantity universe is improved by the domain transformation.On this basis,an independent CO/VI fuzzy controller is established.(4)The Simulink simulation model based on tunnel ventilation control is established.In Matlab,each module of tunnel ventilation is programmed with S function.The PSO optimization algorithm is used to simulate and analyze tunnel ventilation,and the optimized fuzzy controlmethod and direct classification method are compared with each other.The comparison of energy consumption between the two methods is analyzed and the feasibility of this study is proved.