Constant Illumination Control Strategy Research Combined Natural Lighting With Intelligent Lighting

Lighting energy consumption accounts for a large proportion of building electricity consumption,and dimming control of lamps is an effective measure to save energy.The existing intelligent lighting control strategies are mostly controlled in combined with personnel activities,distance from windows,different scenarios,etc.,which ignores the physiological effects on the human body and the importance of saving energy,as well as the phenomenon of uneven and inconstant illuminance by the cause of the position of window and wall on the working surface close to the window.This topic combines natural lighting with intelligent lighting control,and proposes a control strategy to maintain constant illumination of the working surface.The contents are as follows:(1)Taking the Zhengzhou area as an example,analyzing the climatic factors and the factors of the building itself affecting building lighting,so that the building to maintain a balance with the building’s energy consumption in a maximum natural lighting environment,reduce the opening of artificial lighting sources to achieve energy saving.(2)Calculate the illuminance of the indoor working surface of different sky models and different times,analyze the illuminance law in the depth direction of the room and the parallel direction of the side windows.A constant illumination control strategy combining improved natural lighting and intelligent lighting with partition control or zone control combined with point control for lamps in different work area areas.(3)In this paper,the illuminance sensor is placed on the roof and the wall.Based on the theory of optical transmission,the illuminance change ratio between the roof/wall and the working surface is established,and the optimal position of the illuminance sensor in different regions is analyzed.(4)A BP neural network model based on the constant illumination control strategy combining natural lighting and intelligent lighting is constructed to achieve constant illumination of the indoor working surface.The feasibility of this algorithm is proved by the simulation of DIALux evo software.The lighting energy consumption when the building relies entirely on artificial lighting and the improved control strategy of the subject is calculated separately,and the energy-saving effect of the improved control strategy of the subject in the architectural lighting system is obtained.This paper analyzes the natural lighting characteristics of office rooms under different lighting factors,analyzes the illuminance characteristics of indoor working surfaces under different sky models and at different times,and discusses the position of illuminance sensors when collecting illuminance data.In the aspect of passive energy saving and active dimming control,the control strategy combining natural lighting and intelligent lighting control is given,and it is realized by BP neural network algorithm.Through the intelligent adjustment of artificial light source and curtain,the working surface is evenly distributed constant illumination.The energy-saving effect of the improved control strategy of the overall application of the building was evaluated,which proved that the consumption of electric energy was reduced during the indoor constant illumination adjustment process combined with natural lighting.