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http://dx.doi.org/10.6106/KJCEM.2022.23.1.098

Indoor Temperature Analysis by Point According to Facility Operation of IoT-based Vertical Smart Farm  

Kim, Handon (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology)
Jung, Mincheol (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology)
Oh, Donggeun (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology)
Cho, Hyunsang (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology)
Choi, Seun (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology)
Jang, Hyounseung (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology)
Kim, Jimin (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology)
Publication Information
Korean Journal of Construction Engineering and Management / v.23, no.1, 2022 , pp. 98-105 More about this Journal
Abstract
It is essential for vertical smart farms that artificially grow crops in an enclosed space to properly utilize air environment facilities to create an appropriate growth environment. However, domestic vertical smart farm companies are creating a growing environment by relying on empirical data rather than systematic methods. Using IoT to create a growing environment based on systematic and precise monitoring can increase crop production yield and maximize profitability. This study aims to construct a monitoring system using IoT and to analyze the cause by demonstrating the imbalance of temperature environment, which is a significant factor in crop cultivation. 1) The horizontal temperature distribution of the multi-layer shelf was measured with different operating methods of LED and air conditioner. As a result, there was a temperature difference of "up to 1.7℃" between the sensors. 2) As a result of measuring the vertical temperature distribution, the temperature difference was "up to 6.3℃". In order to reduce this temperature gap, a strategy for proper arrangement and operation of air conditioning equipment is required.
Keywords
Vertical Smart Farm; IoT; Air Uniformity; Indoor Air Temperature; Sensor Monitoring;
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Times Cited By KSCI : 1  (Citation Analysis)
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