Simulation of Intelligent Energy Saving Control Method of Urban Landscape Lighting Based on FNN
In order to reduce the power consumption of landscape lighting and improve the energy-saving effect,an intelligent energy-saving control method of urban landscape lighting based on FNN was proposed.Firstly,we ana-lyzed the demand for urban landscape lighting.On this basis,we built a model for dividing landscape lighting areas.Then,we used this model to divide the landscape lighting area into an open area and a closed area,and constructed a buffer area between the two areas,thus avoiding the delay error during the lighting control.Moreover,we collected the operation data of landscape lighting devices.After that,we trained and learned them through a FNN network,thus ob-taining a complete set of status data.Based on the data set,an energy-saving controller was designed by the fuzzy neural network.Meanwhile,we used the energy-saving controller to complete the intelligent energy-saving control for urban landscape lighting.Experimental results show that this method can control the dimming time,lighting time and power consumption very well,and satisfies the the lighting energy-saving demands.
Fuzzy neural networkUrban landscapeIntelligent energy-saving controlEnergy-saving controllerDivision model of illuminated area
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