The Research on the Control Strategy of Intelligent Lighting Based on Improved Particle Swarm Algorithm
[1]FENC Dong-qing,PAN Lei.The Research on the Control Strategy of Intelligent Lighting Based on Improved Particle Swarm Algorithm[J].Journal of Zhengzhou University (Engineering Science),2013,34(03):14-17.[doi:10.3969/j.issn.1671-6833.2013.03.004]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
34卷
Number of periods:
2013 03
Page number:
14-17
Column:
Public date:
2013-05-31
- Title:
- The Research on the Control Strategy of Intelligent Lighting Based on Improved Particle Swarm Algorithm
- Keywords:
- intelligent lighting; the solar altitude angle; comfort; improved particle swarm optimization
- CLC:
- TP273
- DOI:
- 10.3969/j.issn.1671-6833.2013.03.004
- Abstract:
- In order to enhance performances of energy saving and comfort of a lighting system , some intelligentcontrol strategies are discussed to get the best combination of natural light and lighting fixtures as to indoorlighting. Based on the solar altitude angle and the window azimuth，the solar altitude angle of the position ofthe human eye can be calculated ， and the eurtain adjustment model is built here , thus the requirements of eyescomfort will be met by adjusting the position of the electric curtain. When the natural light is insufficient，it isneeded to open the lamp to fill light. The best combination of lighting fixtures luminance is solved out by useof the improved particle swarm optimization，hence realizing the comprehensive optimum of comfort and ener-gy-saving. Finally，the effectiveness of strategies of control is verified by the simulation of actual offices mod-el.
- References:
- [1 ]PAN Meng-shiuan,YEH Lun-wu , CHEN Yen-ann , etal. A WSN-based intelligent light control system con-sidering user activities and profiles[J]. Sensor Jou -rnal , 2008,8 ( 10):1710 - 1721.
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Last Update:
1900-01-01