An Intelligent IoT-enabled Lighting System for Energy-efficient Crop Production
In this paper, an intelligent lighting instrumentation and automation system is presented with the objective of achieving high energy-efficiency in greenhouse supplemental lighting based on the Internet of Things (IoT) technology. The system runs on a Raspbian operating system which interacts with w...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SolarLits
2021-02-01
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| Series: | Journal of Daylighting |
| Subjects: | |
| Online Access: | https://solarlits.com/jd/8-86 |
| _version_ | 1818650846288674816 |
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| author | Jun Jiang Mehrdad Moallem Youbin Zhengi |
| author_facet | Jun Jiang Mehrdad Moallem Youbin Zhengi |
| author_sort | Jun Jiang |
| collection | DOAJ |
| description | In this paper, an intelligent lighting instrumentation and automation system is presented with the objective of achieving high energy-efficiency in greenhouse supplemental lighting based on the Internet of Things (IoT) technology. The system runs on a Raspbian operating system which interacts with wireless-enabled light emitting diode (LED) fixtures for plant growth, an online data server, and different light sensors including RGB and quantum sensors. The communication is achieved through RestFul API, UART, and I2C. The system is utilized to implement a feedback controller that automatically adjusts the light dimming levels and, in particular, the ratio of red and blue light intensities based on the plants’ needs. A series of experiments involving plant growth were conducted which indicate that the proposed system can achieve energy-savings up to 34%, when compared to a conventional time scheduling scheme. Additionally, the experiments demonstrate that the system can achieve a highly uniform light distribution under unpredictable natural lighting conditions while saving energy due to supplemental lighting. |
| first_indexed | 2024-12-17T01:56:42Z |
| format | Article |
| id | doaj.art-703ee61685ae43b1ae4f066383f5f929 |
| institution | Directory Open Access Journal |
| issn | 2383-8701 |
| language | English |
| last_indexed | 2024-12-17T01:56:42Z |
| publishDate | 2021-02-01 |
| publisher | SolarLits |
| record_format | Article |
| series | Journal of Daylighting |
| spelling | doaj.art-703ee61685ae43b1ae4f066383f5f9292022-12-21T22:07:56ZengSolarLitsJournal of Daylighting2383-87012021-02-0181869910.15627/jd.2021.6An Intelligent IoT-enabled Lighting System for Energy-efficient Crop ProductionJun Jiang0Mehrdad Moallem1Youbin Zhengi2School of Mechatronic Systems Engineering, Simon Fraser University, BC, CanadaSchool of Mechatronic Systems Engineering, Simon Fraser University, BC, CanadaSchool of Environmental Sciences, University of Guelph, ON, CanadaIn this paper, an intelligent lighting instrumentation and automation system is presented with the objective of achieving high energy-efficiency in greenhouse supplemental lighting based on the Internet of Things (IoT) technology. The system runs on a Raspbian operating system which interacts with wireless-enabled light emitting diode (LED) fixtures for plant growth, an online data server, and different light sensors including RGB and quantum sensors. The communication is achieved through RestFul API, UART, and I2C. The system is utilized to implement a feedback controller that automatically adjusts the light dimming levels and, in particular, the ratio of red and blue light intensities based on the plants’ needs. A series of experiments involving plant growth were conducted which indicate that the proposed system can achieve energy-savings up to 34%, when compared to a conventional time scheduling scheme. Additionally, the experiments demonstrate that the system can achieve a highly uniform light distribution under unpredictable natural lighting conditions while saving energy due to supplemental lighting.https://solarlits.com/jd/8-86lighting system instrumentationdaylight harvestingphotosynthetic photon flux densitygreenhouse automation |
| spellingShingle | Jun Jiang Mehrdad Moallem Youbin Zhengi An Intelligent IoT-enabled Lighting System for Energy-efficient Crop Production Journal of Daylighting lighting system instrumentation daylight harvesting photosynthetic photon flux density greenhouse automation |
| title | An Intelligent IoT-enabled Lighting System for Energy-efficient Crop Production |
| title_full | An Intelligent IoT-enabled Lighting System for Energy-efficient Crop Production |
| title_fullStr | An Intelligent IoT-enabled Lighting System for Energy-efficient Crop Production |
| title_full_unstemmed | An Intelligent IoT-enabled Lighting System for Energy-efficient Crop Production |
| title_short | An Intelligent IoT-enabled Lighting System for Energy-efficient Crop Production |
| title_sort | intelligent iot enabled lighting system for energy efficient crop production |
| topic | lighting system instrumentation daylight harvesting photosynthetic photon flux density greenhouse automation |
| url | https://solarlits.com/jd/8-86 |
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