| With the continuous increase of private car ownership,the urban traffic pressure continues to increase,and the problem of "difficulty in driving" promotes the development of urban transportation industry in China to gradually shift from the ground to the underground.The number of urban tunnels increases year by year,and the power consumption increases rapidly.Therefore,how to save energy and reduce consumption under the premise of meeting the national safety standards is one of the main research directions in the field of urban tunnel lighting.However,there are relatively few studies on urban tunnel lighting,and some studies copy the relevant standards and experiences of highway tunnel lighting.Therefore,there is still room for improvement in energy saving of urban tunnel lighting in intelligent control mode and intelligent control strategy.In view of the above problems,taking urban tunnel lighting as the research object,combined with the optimization of lighting layout scheme,the following contents are studied on the energy-saving control of urban tunnel lighting:(1)The theory involved in the energy-saving control of urban tunnel lighting is deeply studied,and the evaluation index and energy-saving method of tunnel lighting are emphatically analyzed,and the research direction of combining intelligent control with optimized lighting arrangement scheme is determined in this paper.Completed the design including the length,brightness and control system structure of each lighting section,which laid a solid theoretical foundation for the following research on intelligent control methods and strategies.(2)Based on the characteristics of urban tunnel lighting,the design of fuzzy controller for urban tunnel lighting is completed,including the selection of membership function,the establishment of fuzzy rules and the selection of deblurring methods.The simulation results of MATLAB verify the rationality of fuzzy control rules.Compared with the traditional tunnel lighting control mode,the energy saving of fuzzy control rules is verified.Through comparative calculation,the fuzzy control dimming strategy can save 32.1% of electricity compared with the time control mode.(3)In order to solve the problem that the service life of LED lamps is reduced due to frequent dimming,a control strategy of subdividing brightness ladder is proposed based on fuzzy control rules.BP neural network is selected to complete the design of brightness ladder classification prediction model,and the weights and thresholds of BP neural network are optimized by genetic algorithm and particle swarm optimization,which improves the prediction accuracy,and the prediction accuracy of the improved particle swarm optimization model can reach 96%.Compared with the time control mode,the control strategy of subdividing brightness step can save 31.1% power.(4)In order to verify the safety of subdivision brightness step dimming strategy,the urban tunnel lighting model is built based on DIALux evo software,and different lighting arrangement schemes are simulated and analyzed.It is concluded that the lighting at the entrance section should be arranged symmetrically on both sides,and the energy saving is the best when the deflection angle is 20 ～ 30;The lamps in the middle section should be arranged in a staggered way on both sides,and the energy saving is the best when the deflection angle is 20 ～ 30.The optimized model is used to verify the safety of dimming strategy,and the overall scheme of urban tunnel lighting energy saving is analyzed in combination with the optimization results of lighting layout scheme.It is concluded that the entrance section can save 35.8% electric energy,and the middle section can save 14.3% electric energy. |
