Research On Energy-saving Control Algorithm Of Tunnel Lighting Based On Direct Solar Lighting

With the acceleration of China's infrastructure construction,the number of road tunnels has increased year by year,along with the increase in tunnel lighting energy consumption.Under the premise of the exhaustion of traditional energy sources,reducing the energy consumption of tunnel lighting has become the focus of the highway transportation industry.At present,China's tunnel lighting energy-saving technology mainly uses energy-saving lamps and energy-saving control technology.Especially in recent years,the improvement of light efficiency of LED lamps and the maturity of control technology have played an active role in promoting road tunnel lighting energy conservation,but with electro-optic lighting.The main tunnel lighting method still consumes a lot of energy.This paper combines a new type of direct sunlight illumination technology—sunlight fiber optic illumination technology,and proposes a research on tunnel lighting energy-saving control algorithm based on direct sunlight illumination.Efficient control algorithm is the premise of precise control of tunnel energy-saving control.At present,tunnel lighting dimming control algorithms are mainly based on tunnel hole brightness control,traffic volume and out-of-hole brightness control,and real-time traffic volume-based dimming control.The direct sunlight illumination system can only illuminate when the sun shines on the surface,and the direct sunlight illumination system loses its illumination function on a cloudy day.Especially when the sun is cloudy in the cloudy day,the direct illumination of the sun is unstable,and the electro-optic illumination in the tunnel needs to work quickly to automatically adjust the power compensation in the tunnel.The combination of solar lighting and electro-optic lighting to achieve the maximum use of solar lighting under the premise of intelligent control technology is a gap at home and abroad.According to the "Design Rules for Highway Tunnel Lighting",the brightness control model based on the illumination segments of the sunlight illumination tunnel is proposed.A mathematical relationship is established between fiber optic illumination,traffic information,and the external environment of the tunnel and the brightness of the tunnel illumination.The sub-loop brightness requirement is calculated using the fine-molecular loop principle,and the control output is realized by the neural network algorithm.According to the theory proposed in this paper,the Longquansi tunnel is calculated according to the stepless dimming control algorithm of the fine molecular loop to calculate the required brightness of each illumination segment.The expected power of the luminaire is calculated using the relationship between the power of the tunnel required brightness and the illumination of the luminaire.The direct sunlight power,the brightness outside the hole,the traffic volume and the vehicle speed are taken as the input samples of the neural network.The expected power adjusted by the electro-optic lighting is used as the target output sample of the neural network,so that the environment outside the tunnel and the driving environment of the tunnel and the power of the electro-optic lighting build connection.Through the MATLAB neural network toolbox,the calculation results are trained and simulated.According to the fitting experiment results,the BP neural network fitting degree reaches 0.9933,the generalization ability reaches 0.9833,the tunnel energy saving reaches 34%,and the solar energy illumination inlet section energy saving reaches 42.6%.