• Journal of Korea Society of Industrial Information Systems
• /
• v.18 no.3
• /
• pp.9-15
• /
• 2013

This paper was development of remote controller of pumping system by using ubiquitous for underground water contamination prevention in the area of glasshouse facility. This paper automatically controls from to temperature and humidity for pumping sprinkler at water hanging cultivation. This prevents indiscreetive development of underground water, and prevents damage of environmental pollution without complementary measures in case of water lacked humble-void. The result of this research, confirms decrease of electrical fee, prevention of indiscreet underground water usage and its drying up thought optimum farm products management and pumping control system.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.10a
• /
• pp.249-252
• /
• 2019

본 논문은 파충류 시장의 활성화와 파충류 사육 부담감을 해소하고자 사육자들에게 편리하고 접근성이 높은 서비스를 제공하는 파충류 사육을 위한 스마트 환경제어시스템을 제공한다. 본 논문이 제시하는 주요한 기능은 다음과 같다. 첫째, 사육장 내 습도를 미스팅 시스템과 팬을 통해 제어를 한다. 둘째, 사육장 내 온도를 조광기를 활용한 스팟 램프의 밝기 조절을 통해 제어한다. 셋째, 파충류 먹이 공급 및 물 공급을 자동화하여 체계적인 식단을 관리한다. 넷째, 적외선 감지 센서를 통한 데이터를 활용해 파충류의 활동량과 탈피 및 질병의 가능성을 예상한다. 제안된 시스템은 IoT 기술을 접목함으로써 현대 사회에서 추구하는 편리함과 기존 파충류 사육의 번거로움을 해소하는 것을 목표로 한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.128-129
• /
• 2023

해당 논문은 라즈베리파이를 이용한 온실의 온습도 자동제어 시스템에 관한 연구를 다룬다. 이 시스템은 특정 작물에 대한 최적의 생육환경 제공을 위해 자동으로 온도 및 습도를 측정하고 조절한다. 관리자는 수동으로도 각 기능을 제어할 수 있다. 온습도를 제어하기 위한 방법으로 자연환기, 인공환기, 온실내부 물분사, 열선작동의 방법을 사용한다. 자동화된 온습도 제어 시스템으로 농산물의 생산량 및 품질을 늘림과 동시에 온실 관리에 투자되는 자원을 줄일 수 있어 농업인들의 농업경쟁력을 향상시킬 수 있다.

• Journal of Bio-Environment Control
• /
• v.20 no.3
• /
• pp.169-175
• /
• 2011

The adaptive neuro-fuzzy inference system (ANFIS) based automatic control system framework was proposed for integrated environment management of ubiquitous plant factory which can collect information of crop cultivation environment and monitor it in real-time by using various environment sensors. Installed wireless sensor nodes, based on the sensor network, collect the growing condition's information such as temperature, humidity, $CO_2$, and the control system is to monitor the control devices by using ANFIS. The proposed automatic control system provides that users can control all equipments installed on the plant factory directly or remotely and the equipments can be controlled automatically when the measured values such as temperature, humidity, $CO_2$, and illuminance deviated from the decent criteria. In addition, the better quality of the agricultural products can be gained through the proposed automatic control system for plant factory.

• Journal of IKEEE
• /
• v.19 no.4
• /
• pp.603-609
• /
• 2015

Thermal comfort is one of the fundamental aspects of indoor environmental quality and it is strongly related to occupant satisfaction and energy used in building. In this paper, we proposes smart comfort algorithm that save energy and provide a pleasant and comfortable environment for workers by the indoor comfort conditions(Predictive Mean Vote) detection and controlling the temperature and humidity, air flow. Simulation results, heating and cooling control of the thermal comfort control can be compared with the existing general air conditioners reduces the power of 0.5kW and indoor comfort can be maintained. Also, It showed a 49.2% improvement in the light by lighting control algorithm.

• Journal of agriculture & life science
• /
• v.45 no.6
• /
• pp.265-278
• /
• 2011

Effects of the open level of the side window were studied to control the temperature and relative humidity in the fog cooling greenhouse. The greenhouse was cooled by air atomizing spray nozzles of the air and water two-fluid process. The control process includes the measuring of environmental variables, setting and coding of the water balance equations and heat balance in greenhouse, calculating of the roof window open and spray water, and operating of the motor and pump. The target temperature and relative humidity were set at $28^{\circ}C$, 75%, respectively. The three modes of the side window open level were 0%, 50% and 100%. The average dry bulb temperatures of the inside air were 28.2, 27.2 and $26.3^{\circ}C$, respectively and their standard deviation was ranged from $0.4^{\circ}C$to $0.8^{\circ}C$. Also the relative humidity of the 0% mode was the best controlled one with the average of 76.3% and the standard deviation of 2.1%.

• Journal of Conservation Science
• /
• v.28 no.4
• /
• pp.377-385
• /
• 2012

Anoxic treatments using argon and nitrogen gas in controlled atmospheres have been used as a alternative to methyl bromide for insect disinfection in museums. Anoxic chamber system was manufactured and installed at The National Folk Museum of Korea for the first time in Korea. The internal capacity of anoxic chamber is 0.5m3 in which is able to use argon, nitrogen and carbon dioxide gas. This system is equipped with oxygen concentration, temperature and ralative humidity control devices and automatically controlled oxygen concentration from 0.01 to 20%, temperature from 10 to $50^{\circ}C$ and relative humidity 30 to 80%. To control the oxygen concentration, anoxic chamber system is adopted semi-dynamic method which supplies mixture of humidified gas and dry gas whenever oxygen concentration in chamber becomes higher than setting value. It has kept regularly oxygen concentration, temperature and relative humidity for 20 days using argon gas. To evaluate the disinfection of cigarette beetle larvae and adults and varied carpet beetle larvae, the anoxic chamber system maintained 0.01% of oxygen concentration, $25^{\circ}C$ in temperature and 50% in relative humidity for 30 days. Cigarette beetle larvae were killed in 7 days and adults in 3~5 days. And varied carpet beetle larvae were killed in 3 days. It reaches the conclusion form the evaluation this anoxic chamber system can be used to develop anoxic treatment as an alternative of methyl bromide for insect disinfection of infested cultural properties in museums.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2016.07a
• /
• pp.13-15
• /
• 2016

에너지 소비가 큰 건물은 내부 온/습도, 이산화탄소 농도, 미세먼지 농도 등의 일정 공기 질을 유지하면서 에너지 비용을 최소화할 수 있는 제어계획을 수립하는 것이 필요하다. 기존 건물에서 실내 환경의 운영은 설정된 실내 환경 값을 기준을 벗어나면 설비 기기를 제어하는 방식으로 이루어진다. 이는 단 시간에 고에너지를 투입하여 장비를 가동시키므로 에너지 소모가 크며 peak 전력이 높아 에너지 비용이 크다는 문제가 있다. 따라서 온도를 포함한 환경이 변해가는 상황을 예측하고 사전에 에너지 사용 계획을 수립하여 관리 제어를 수행함으로써 예열부하 등의 불필요한 에너지 손실을 절감하려 한다. 이를 위해 실내 환경이 변화하는 것을 예측하고 후보 제어계획으로 제어를 수행할 때 소요되는 에너지가 어느 정도인지 시뮬레이션하여 제어계획의 적합도를 평가한다. 기존 EnergyPlus와 같은 시뮬레이션 도구는 모델이 복잡하여 시뮬레이션에 많은 시간이 필요하기 때문에 환경 변화를 반영하기 위해 주기적으로 재수립되는 수많은 제어계획 데이터를 단시간에 시뮬레이션하기에 부적합하다. 본 논문에서는 빠른 시뮬레이션을 위해 실제 운영 데이터와 에뮬레이션을 통해 획득한 운영 데이터를 기반으로 학습 알고리즘을 이용하여 제어계획 적용 시의 미래 상황을 예측한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.10a
• /
• pp.1027-1029
• /
• 2015

Heat exchange ventilation facility is using for heating the inflow outside-air with warm outflow inside-air. Energy cost is saved and respiratory disease caused by temperature difference of air is prevented. In this paper, system for remote control and monitoring of heat exchange ventilation facility is developed. This system is applied in chicken breeding farm, and verification test of performance such as temperature and humidity control and monitoring is conducted. From verification test, temperature control error is measured as under 2degrees around the chicken breeding farm.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.5
• /
• pp.1029-1036
• /
• 2018

This paper is a study on the development of optimal control system for lighting and air conditioning equipment to save the energy in campus environment. In the case of controling system developed through this research, lighting and air conditioner are controlled by both information on the number of people entering and leaving the room through the motion sensor and image processing, and the information on temperature and humidity. In addition, energy saving is enabled by the results that are controlled through data integration monitoring and command execution functions according to the control signals.