Research On Indoor Lighting Dimming Strategy Based On Occupancy And Illumination Information

Commercial and office lighting are paying more and more attention to the quality of lighting.Relevant standards have been unveiled at home and abroad.In the European Union EN 12464-1-2012 standard,qualitative and quantitative requirements for visual comfort and lighting environment parameters of indoor lighting have been made for the first time.Through the research,the key factors affecting the quality of lighting were illumination uniformity and the glare index.On account of energy-saving and high efficiency,the indoor LED lighting system has been widely applied.It is a new type of lighting technology,However,there is a lack of multi-objective optimization methods for uniformity of illumination and unified glare rating,Therefore,the optimization of illumination uniformity and uniform glare value has certain practical application value.According to above mentioned problems,this paper takes office lighting as the research object,the indoor lighting dimming strategy based on occupancy and illumination information is put forward.The main research work is as follows:First,an occupancy sensor and an illumination sensor based on energy harvesting technology are designed.In the indoor LED lighting system,the occupancy sensor and the illuminance sensor respectively provide occupancy information and illuminance distribution of the indoor lighting working surface.Second,three aims for optimizing the quality of indoor lighting are proposed.The three aims are the minimizing of dimming level,minimizing the coefficient of variation of root mean square error of illuminance,and standardization of unified glare rating.Based on the multi-objective optimization theory,the target is established into a mathematical model which related to the dimming level of the luminaire.The multi-objective genetic algorithm is used to calculate the optimal dimming level of each luminaire to optimize the indoor lighting quality.Finally,the non-dominated sorting genetic algorithm II was employed to optimize the dimming of indoor lighting.The illuminance and the unified glare rating were tested which in the global occupied and partially occupied lighting environments.In order to balance the energy saving and illuminance uniformity of indoor lighting,optimization of dimming level and illumination uniformity based on the same weight were realized.Only considering the maximization of illuminance uniformity,The optimization was carried out based on minimizing the coefficient of variation of root mean square error of illuminance.In order to standardize the unified glare rating of the indoor visual environment,the corresponding dimming optimization was carried out and the brightness distribution of the visual field environment which was analyzed and statistically analyzed.After the actual running test,the results show that the illumination system based on occupancy and illumination information has significantly improved the indoor illumination uniformity.The glare index of the visual workplace has reached the standard requirements,which improves the indoor lighting quality.Especially,the light environment of the local illumination area has been optimized and the visual working conditions have been improved.In addition,the optimization model can be well adapted to the configuration of the luminaire and the geometry of the room.Integrating this optimization model in the light simulation software in the future will improve the lighting designer's ability to optimize the interior lighting design.