Research Article
Research on Illumination Estimation Based on Data Fitting
@INPROCEEDINGS{10.1007/978-3-030-21730-3_8, author={Yuanqi Li and Yingming Gao and Ling Yu and Bao Liu and Long Huang and Yingjie Zhang and Juqian Li and Xiaoyang He}, title={Research on Illumination Estimation Based on Data Fitting}, proceedings={Green Energy and Networking. 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings}, proceedings_a={GREENETS}, year={2019}, month={6}, keywords={Illumination estimation Data fitting Energy saving}, doi={10.1007/978-3-030-21730-3_8} }- Yuanqi Li
Yingming Gao
Ling Yu
Bao Liu
Long Huang
Yingjie Zhang
Juqian Li
Xiaoyang He
Year: 2019
Research on Illumination Estimation Based on Data Fitting
GREENETS
Springer
DOI: 10.1007/978-3-030-21730-3_8
Abstract
In order to solve the illuminance sensor placed on the work surface, it is easily shielded by office objects, human activities, cannot get an accurate work surface illumination an in the indoor lighting control system. In turn, will make dimming system inaccurate and the illumination of the work surface cannot meet the needs of the human eye. Based on the theory of radio energy transmission, Discussed the distribution of sunlight in indoor space, A prediction method for replacing the illuminance sensor of the work surface with an illuminance sensor provided on the wall and the ceiling is proposed. The influence of the orientation relationship between the daylight and the sensor on the illumination of the desk was investigated by simulation.
