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.
Supported by Science Foundation for Goldlamp Co., Ltd (2017-228195).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, Y. et al. (2019). Research on Illumination Estimation Based on Data Fitting. In: Jin, J., Li, P., Fan, L. (eds) Green Energy and Networking. GreeNets 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-030-21730-3_8
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DOI: https://doi.org/10.1007/978-3-030-21730-3_8
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