ePAR Sensor Testing for Industrial Greenhouse Lighting Control System Application
2022 IEEE 63rd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2022): Conference Proceedings 2022
Andrejs Potapovs, Ansis Avotiņš

Industrial greenhouses have automated control systems for climate, lighting, irrigation, ventilation and heating regulation using feedback sensors. Nowadays it is a trend to increase the measurement data amount as various additional IoT sensors are installed, thus the regulation becomes more precise, and due to available data, enables also new analytical features to create new control rules or strategies. This article focuses on PAR sensor development for such IoT sensor system, that will be used as main feedback signal to create lighting control strategy, same time increasing energy efficiency and reducing also costs. As artificial lighting energy consumption costs create 20-40% of total greenhouse costs, it is worth to have a more precise lighting control system, monitoring the energy crop obtains during the day from the sun, and then the missing amount (also period) of light energy then is provided by artificial lighting. First tests are performed in laboratory and industrial greenhouse of SIA “Latgales darzenu logistika” focusing on IoT based Photosynthetically Active Radiation measurements.


Keywords
ePAR, microcontroller, IoT systems, industrial greenhouse, control system
DOI
10.1109/RTUCON56726.2022.9978897
Hyperlink
https://ieeexplore.ieee.org/abstract/document/9978897

Potapovs, A., Avotiņš, A. ePAR Sensor Testing for Industrial Greenhouse Lighting Control System Application. In: 2022 IEEE 63rd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2022): Conference Proceedings, Latvia, Riga, 10-12 October, 2022. Piscataway: IEEE, 2022, pp.251-256. ISBN 978-1-6654-6559-5. e-ISBN 978-1-6654-6558-8. Available from: doi:10.1109/RTUCON56726.2022.9978897

Publication language
English (en)
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