• Journal of Bio-Environment Control
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• v.28 no.4
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• pp.335-341
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• 2019

In order to provide basic data for uniformization of temperature distribution in heating greenhouses, heating experiments were performed in two greenhouses with a hot water heating system. By analyzing heat transfer characteristics and improving pipes layout, measures to reduce the variation of pipe surface temperature and to improve the uniformity were derived. As a result of analyzing the temperature distributions of two different greenhouses and examining the maximum deviation and uniformity, it was found that the temperature deviation of greenhouses with a large amount of hot water flow and a short heating pipe was small and the uniformity was high. And it was confirmed that the temperature deviation was reduced and the uniformity was improved when the circulating fan was operated. The correlation between the surface temperature of the heating pipe and the indoor air temperature was a positive correlation and statistically significant(p<0.01) in both greenhouses. It was confirmed that the indoor temperature distribution in a hot water heating greenhouse was influenced by the surface temperature distribution of heating pipe, and the uniformity of indoor temperature distribution could be improved by arranging the heating pipe to minimize the temperature deviation. Analysis of the heat transfer characteristics of heating pipe showed that the temperature deviation increased as the pipe length became longer and the temperature deviation became smaller as the flow rate in pipe increased. Therefore, it was considered that the temperature distribution and the uniformity of environment in a greenhouse could be improved by arranging the heating pipe to shorten the length and controlling the flow velocity in pipe. In order to control the temperature deviation of one branch pipe within $3^{\circ}C$ in the tube rail type hot water heating system most used in domestic greenhouses, when the flow velocity in the pipe is 0.2, 0.4, 0.6, 0.8, $1.0m{\cdot}s^{-1}$, the length of a heating pipe should be limited to 40, 80, 120, 160, 200m, respectively.

• Journal of Environmental Impact Assessment
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• v.28 no.6
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• pp.592-603
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• 2019

This study is about the implementation of low energy sewage management technology through effective control of blower which consumes the most energy in sewage treatment. In calculating the amount of oxygen required for microorganisms, unlike the existing method using the operating index in the bioreactor or TMS data in the discharge port, the CODcr and NH₄⁺-N concentration changes in sewage flowing into the sewage treatment plant were detected in advance before entering the bioreactor and the amount of air was controlled based on this. The pre-sensing was found to have a high correlation compared with conventional products. As a result of blower control, it was possible to save about 9.9% energy more than the manual control. Consequently, this study suggested the possibility of blower's real-time control combined with pre-sensing technology. Also, it is expected that the low energy sewage treatment can be applied to sewage treatment facilities dependent on operation by manpower, and it will contribute to the reduction of greenhouse gas emissions.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2002.11a
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• pp.39-44
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• 2002

배기가스의 규제가 전 세계적으로 강화되고 있는 가운데, 경유사용 디젤기관은 가솔린기관 보다 열효율이 높고 온실가스인 $CO_2$ 배출량이 적은 장점이 있으나, PM(입자상 물질)과 NO$_{x}$가 다량 배출되는 단점이 있다. 이들의 저감책으로서, 엔진개량, 연료분사장치의 고압화와 전자제어화, 배기 후처리기술의 적용 등 디젤기관의 고효율성을 손상시키지 않으면서, 배기공해를 대폭 저감하려는 연구가 활발히 추진되고 있으며, 한편으로는 디젤기관의 대체연료에 대한 연구가 활발히 추진되고 있다.(중략)

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2001.10a
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• pp.286-290
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• 2001

This study was carried out to develope dehumidifier using underground water for controling moisture in greenhouse. The dehumidifier was designed as horizontal shell type condenser, and experiment was carried out with evaporative cooling system. In shading condition, evaporative cooling with the dehumidifier makes decrease of relative humidity and temperature in the down place of greenhouse than without dehumidifier, so it is expect that the dehumidifier is useful for effective evaporative cooling.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1999.11a
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• pp.63-66
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• 1999

최근 식물체내의 수분상태나 흡수되는 물의 량을 측정 또는 제어하기 위하여 레이저 경류계측센서나 열수지경류센서 등이 이용되고 있으며, 특히 열수지경류센서는 줄기 속을 흐르는 물의 량을 직접 측정하므로 생육단계에 따른 수분흡수량은 물론 하루중의 시간대별로 수분소비량을 측정하는 것이 가능하다. 이러한 식물의 생체정보를 센싱하는 것은 식물체에 적합한 환경을 조성하기 위하여 매우 중요한 것이다. (중략)

• Information and Communications Magazine
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• v.34 no.1
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• pp.51-57
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• 2016

우리나라 농업은 농가 경영 여건이 열악하고, 농산물 수입 확대 등 불확실성 확대로 어려움에 처해 있다. 생산성 향상 등 경쟁력 강화가 강력히 요구된다. 정부와 민간 모두 농업 경쟁력 강화를 위해 스마트팜 보급에 나서고 있다. 본고에서 제시한 클라우드 기반 스마트팜 서비스는 스마트팜 운영에 필요한 각종 기기를 클라우드 상에서 운영하는 방식이다. Stand-Alone방식 스마트팜에서는 온실별로 설치하는 센서, 제어기, 운영PC 등 각종 장치들을 가상화하여 서비스의 형태로 제공하는 기술이다. 클라우드 기반 스마트팜 서비스는 사용자 관점에서 필요한 기능만을 서비스의 형태로 적용하기 때문에 도입비를 획기적으로 낮출 수 있고, 설치 및 관리가 용이하다.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.3
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• pp.125-132
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• 2023

In this study, we compared the performance of machine learning models for predicting Vapor Pressure Deficits (VPD) in greenhouses that affect pore function and photosynthesis as well as plant growth due to nutrient absorption of plants. For VPD prediction, the correlation between the environmental elements in and outside the greenhouse and the temporal elements of the time series data was confirmed, and how the highly correlated elements affect VPD was confirmed. Before analyzing the performance of the prediction model, the amount and interval of analysis time series data (1 day, 3 days, 7 days) and interval (20 minutes, 1 hour) were checked to adjust the amount and interval of data. Finally, four machine learning prediction models (XGB Regressor, LGBM Regressor, Random Forest Regressor, etc.) were applied to compare the prediction performance by model. As a result of the prediction of the model, when data of 1 day at 20 minute intervals were used, the highest prediction performance was 0.008 for MAE and 0.011 for RMSE in LGBM. In addition, it was confirmed that the factor that most influences VPD prediction after 20 minutes was VPD (VPD_y__71) from the past 20 minutes rather than environmental factors. Using the results of this study, it is possible to increase crop productivity through VPD prediction, condensation of greenhouses, and prevention of disease occurrence. In the future, it can be used not only in predicting environmental data of greenhouses, but also in various fields such as production prediction and smart farm control models.

• Plant Journal
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• v.9 no.2
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• pp.42-45
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• 2013

The worldwide issue of greenhouse gas reduction has recently drawn great attention to carbon capture and storage(CCS). In this study, we developed a 10,000 ton/year pilot injection plant for geological storage of carbon dioxide. Major components of the pilot plant include a pressure pump, a booster pump, and an inline heater to bring liquid carbon dioxide into its supercritical state. The test results show that the pilot plant readily achieves the injection pressure and temperature, showing satisfactory control performance. The overall power consumption is 2,000 ~ 2,500 W, more than 75% of which consumed by the pressure pump. This study will facilitate varied research on greenhouse gas reduction as the only domestically developed system for geological injection.

• Journal of Bio-Environment Control
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• v.15 no.1
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• pp.1-7
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• 2006

This study was conducted to develop a system and an control algorithm for control the environment of a plant factory. The greenhouse control system for environmental control was largely composed of a computer and a PLC. The screen of control program was composed of a greenhouse figure which was included machinery and equipments for greenhouse, the graph of environmental factors of inside greenhouse and the image of greenhouse. In order to reduce temperature change, the operation time of ventilation window was changed by 3 stage according to difference between a target and present temperature. When is heating, a temperature variation was shown to be $16.7{\pm}0.8^{\circ}C$. When is cooling, a temperature variation was shown to be $23.1{\pm}0.6^{\circ}C$. When is humidifing, a humidity variation was shown to be $39.3{\pm}1.6^{\circ}C$ %RH. An environmental control system and a control algorithm were proved that it was shown a good performance in a control accuracy. So a computer control system should be adapted to a control system of a greenhouse and a plant factory.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.11 no.2
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• pp.39-45
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• 2012

In recent years the USN(Ubiquitous Sensor Networks) technology has been applied in the greenhouse in order to control temperature and humidity automatically. In this paper, we proposed a control algorithm using feedback linearization techniques based on a mathematical model for temperature and humidity environment. Especially, Control algorithm is presented to the operation of the ventilator affecting on the temperature and humidity system at the same time. The System has been designed taking into account the disturbance(External temperature, soil temperature, external humidity, solar radiation and wind). In conclusion, I will present a way to control multiple actuator through simulations. The proposed control algorithm is validated using the Matlab/Simulink tools.