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Research On The Control Strategy Of Office Intelligent Lighting Combining Dimming And Daylighting

Posted on:2019-06-10Degree:MasterType:Thesis
Country:ChinaCandidate:S Y YangFull Text:PDF
GTID:2382330593451817Subject:Architecture
Abstract/Summary:PDF Full Text Request
Building intelligent lighting control system is an important part of the building system.Efficient intelligent lighting adjustment method can not only improve the quality of indoor lighting,but also be more environmentally friendly and energy-saving.It is of great significance to the visual comfort of dwellers and the energy management control of intelligent buildings.Taking office building as the research object,this paper puts forward a control strategy of intelligent lighting combining dimming and daylighting.First of all,this paper analyzes the office's demand for lighting,pointing out that daylighting is beneficial both in meeting the visual or psychological comfort and in energy saving.We need to make full and reasonable use of the daylight in the office without damaging the indoor light environment.Combining with China's lighting standards of office building and CIE standards we put forward the standard values of horizontal illuminance of office work in this paper.Secondly,this paper studies the calculation method of the average illumination of the working face for the lighting and daylighting of the office.The illuminance calculation method proposed in this paper has been studied and verified by using the optical design and calculation software DIALux.Finally,based on the illumination model of the office,an intelligent lighting control strategy combined with daylighting and dimming is proposed.The control strategy includes intelligent control model of office curtains,and a model of dimming lamp,based on particle swarm optimization algorithm.Among them,the former can prevent uncomfortable phenomenon(e.g.glare)caused by daylight,the latter adjust the luminous flux output according to the daylighting situation and the distribution of office staff,which achieved the maximum energy saving base on the requirements of the illumination.The results of this paper can serve as reference for intelligent and energy-saving lighting control in places where lighting is required during the day.
Keywords/Search Tags:Intelligent lighting control system, Particle swarm optimization, natural illumination, lamp dimming
PDF Full Text Request
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