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IoT를 활용한 수직형 스마트 팜의 지점별 실내 공기 온도 분석
김한돈(Kim, Han-Don),정민철(Jung, Min-Cheol),최세은(Choi, Se-Eun),조현상(Cho, Hyun-Sang),오동근(Oh, Dong-Geun),장현승(Jang, Hyuon-Seung),김지민(Kim, Ji-Min) 대한건축학회 2021 대한건축학회 학술발표대회 논문집 Vol.41 No.2
Vertical smart farms that actively utilize the Internet of Things (IoT) can easily create an appropriate growing environment and grow crops with higher marketability than general farms. The purpose of this study is to construct a monitoring device using IoT, demonstrate the imbalance in the indoor air environment due to the air conditioning system’s operation, and analyze the cause. To analyze the indoor air environment, an experiment to measure the horizontal temperature distribution and an experiment to measure the vertical temperature distribution with several DHT22 sensors was conducted. As a result, the maximum horizontal temperature difference was 1.9 ℃, and the vertical temperature difference was 5.8 ℃ maximum. This study demonstrated that an imbalance in the indoor air environment occurs while the air conditioning system is in operation.
김송이(Song yi Kim),김한돈(Han Don Kim),최세은(Se Eun Choi),조소운(So un Jo),김서현(Seo Hyun Kim),김지민(Ji Min Kim) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.6
In a vertical smart farm, the amount of light is controlled by multiple artificial light, so the amount of heat generated by artificial light has a great influence on the indoor temperature. This study aims at Energy Analysis of Vertical Smart Farms based on the Insulation of the Envelope. The Cases were divided into four according to the type of wall, roof, and floor insulation of the building, and each case was divided into four temperatures. By simulating this with TRNSYS, the cooling load was calculated. In each case, the thickness increased as the insulation level decreased based on the Building energy efficiency rating(에너지절약설계기준). But regardless, as the insulation level decreased, the cooling load increased. There was a clear difference according to the insulation grade in summer than in winter. The lower the insulation grade, the greater the difference in cooling load in summer and winter. Based on this study, we propose appropriate insulation performance for smart farms with high internal heat generation.
수직형 스마트팜 환경 모니터링을 위한 공간보간 기반의 3D 시각화
조현상(Hyun Sang Cho),김한돈(Han Don Kim),최세은(Se Eun Choi),장현승(Hyoun seung Jang),김지민(Ji Min Kim) 대한설비공학회 2021 대한설비공학회 학술발표대회논문집 Vol.2021 No.6
수직형 스마트팜에서 균일한 품질의 작물 수확을 위해 환경 모니터링을 해야한다. 지금까지는 물리적 한계와 비용을 고려하여 일정 구역별로 부착된 센서를 통해 모니터링이 이루어지고 있다. 미관측지점에 대한 정보의 부재로 인해 작물 생장에 중요한 공기 분포를 모니터링 하는데 한계가 있다. 이에 본 연구에서는 최소한의 센서 만으로도 보다 정확한 모니터링을 위해, 공간보간법을 통해 공간에서 환경 변수의 연속적인 데이터를 추정하였다. 공간보간에 많이 사용하는 역거리가중법을 적용하여 추정했고, Python을 통해 구현하였다. 최종적으로 공간보간된 공간 전체의 공기분포는 3D 시각화를 통해 모니터링 관리자가 직관적으로 분석할 수 있는 방안을 제안하였다.
CFD 해석을 이용한 대형 수직형 스마트팜의 최적 공기 거동 분석
최세은(Se Eun Choi),김한돈(Han Don Kim),조현상(Hyun Sang Cho),장현승(Hyoun seung Jang),김지민(Ji Min Kim) 대한설비공학회 2021 대한설비공학회 학술발표대회논문집 Vol.2021 No.6
Due to global warming, crop supply methods and limited agricultural space are problematic. Vertical smart farms can be an alternative. However, it is difficult to secure air homogeneity such as air velocity, temperature, CO₂ despite paying close attention to maintaining and managing the growing environment of crops. Therefore, this study analyzes the optimal conditions and presents a formal framework so that workers can secure a homogeneous environment of crops at any location depending on the size of the module. Based on this study, crops can be produced efficiently by creating an customized growing environment for vertical smart farms.
수직형 스마트 팜 환경 모니터링을 위한 RBF 보간 기반 3D 시각화
조현상(Cho, Hyun-Sang),김한돈(Kim, Han-Don),정민철(Jung, Min-Cheol),최세은(Choi, Se-Eun),오동근(Oh, Dong-Geun),장현승(Jang, Hyuon-Seung),김지민(Kim, Ji-Min) 대한건축학회 2021 대한건축학회 학술발표대회 논문집 Vol.41 No.2
This study aimed to propose a method for sophisticated environmental monitoring for yield increase and uniform quality production in vertical smart farms. Environmental monitoring is generally performed by mearsuring sensors, but information cannot be obtained at all points due to cost and space limitations. As a solution to this, the factor of the growth environment at the unobserved points were estimated through RBF interpolation with sensors. Seven functions were applied, and the smallest RMSE value was derived from RBF interpolation of the Linear function. 3D Visualization of the RBF interpolation result was proposed so that the manager could intuitively analyze the air distribution throughout the space.