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Conference Paper
IoT & Python based Measurement and Analysis of Lighting Color temperature and Illuminance for Human-centric Lighting Control
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- Authors
- Youjin Kim, Hyunseok Kim, Jihun Jeon, Tae Gyu Kang
- Issue Date
- 2017-10
- Citation
- AIC Congress 2017, pp.1-4
- Language
- English
- Type
- Conference Paper
- Abstract
- For the near future, the color temperature and illuminance of the networkable and dimmable LED or OLED luminaire will be manually or autonomously controlled for the human-centric lighting. The decision of level for dimming and color temperature is essential required to human-centric lighting under the various environment. Before predicting and deciding the level, the color temperature and ambient light under the various office environment should be measured during specific periods to understand the lighting environment around human. This paper proposes the state of art measurement based on IoT (Internet of Things) including the cloud computing. The color temperature and ambient light or illuminance is sensed, transferred to the cloud server, gathered as big data, and analyzed in the cloud computing with Python. The result provides the correlation of color temperature and illuminance between the lighting of the office work place around human and the daylight around window with analyzing big data.
- KSP Keywords
- Ambient light, Big-data, Cloud Computing, Cloud server, Color temperature, Dimmable LED, Lighting color, Lighting control, Measurement and analysis, Office work, State-of-art