• 한국컴퓨터정보학회논문지
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• 제24권12호
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• pp.135-141
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• 2019

이 연구는 식품원료로 등록되고 건강기능성 효능이 널리 알려지면서 생산과 수요가 점차 증가하고 있는 흰점박이꽃무지 유충의 사육환경 제어를 위한 식용곤충 스마트팜 공조시스템을 설계하여 제안하고자 수행하였다. 제안된 곤충 스마트팜 공조 시스템은 사육실과 공조실을 구분하여 사육에 최적화된 환경을 공조실에서 만들어 사육실로 보급하는 시스템으로 기존 곤충 사육농가에서 냉난방기, 가습기 등을 통한 환경 제어를 할 때 사육실 내 부분별로 온도 및 습도 등이 매우 상이하여 식용곤충을 판매할 때 균일한 크기 및 무게의 흰점박이꽃무지 유충을 생산하기 어렵다는 문제점의 해결책으로 제시될 수 있다. 곤충 스마트팜 공조 시스템을 사용함으로써 기존 곤충농가의 환경제어에 비해 온도의 차를 6℃, 습도의 차를 24.7%를 감소할 수 있으며 사육실 내 부분별로 온·습도가 다른 점을 개선하여 흰점박이꽃무지 유충의 사육 최적 환경을 계절에 상관없이 상시 제공함으로써 연중 생산을 통한 생산량 증대와 곤충 사육농가의 소득증대를 도모할 수 있다. 또한 제안된 곤충스마트팜 공조시스템은 설정된 최적 온도, 습도 및 CO₂를 효율적으로 제어함으로써 갈색거저리 등 기타 식용곤충의 사육 및 버섯류의 생육에 필요한 환경제어 시스템으로도 활용할 수 있을 것이다.

• 대한설비공학회지:설비저널
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• 제40권12호
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• pp.93-96
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• 2011

• 사물인터넷융복합논문지
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• 제7권4호
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• pp.1-7
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• 2021

현재 스마트 가전의 새로운 시장수요를 만족하기 위해 IoT 기술을 이용한 제품의 기술 차별화(센서, AI 등)가 많은 호응을 얻고 있다. 그러나 에어컨 제품은 융합기술의 초기 단계에 있다. 따라서 에어컨 제품은 IoT를 넘어 정보 생산, 수집, 처리, 저장 및 서비스 개발의 ICT 기술이 필요한 분야이다. 우리가 제안하는 기술은 IR-UWB를 이용한 비접촉방식의 생체신호를 수집 및 저장한다. 생체신호에 따라 에어컨의 방향을 제어하고 사용자의 수면을 모니터링하여 최적의 숙면 환경을 제공한다. 그리고 불쾌지수 환경에 따라 에어컨의 최적조건과 감성조명의 변화로 쾌적함과 안락함을 제공할 수 있는 서비스 알고리즘을 제안한다. 본 연구를 통하여 생체신호, 불쾌지수 및 감성조명의 ICT 기술을 에어컨 서비스를 사용자들이 이용할 수 있도록 알고리즘을 연구하였다.

• International journal of advanced smart convergence
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• 제4권1호
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• pp.45-53
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• 2015

This paper is proposed mathematical load modelling based on system identification approach of energy consumption of residential air conditioning. Due to air conditioning is one of the significant equipment which consumes high energy and cause the peak load of power system especially in the summer time. The demand response is one of the solutions to decrease the load consumption and cutting peak load to avoid the reservation of power supply from power plant. In order to operate this solution, mathematical modelling of air conditioning which explains the behaviour is essential tool. The four type of linear model is selected for explanation the behaviour of this system. In order to obtain model, the experimental setup are performed by collecting input and output data every minute of 9,385 BTU/h air-conditioning split type with $25^{\circ}C$ thermostat setting of one sample house. The input data are composed of solar radiation ($W/m^2$) and ambient temperature ($^{\circ}C$). The output data are power and energy consumption of air conditioning. Both data are divided into two groups follow as training data and validation data for getting the exact model. The model is also verified with the other similar type of air condition by feed solar radiation and ambient temperature input data and compare the output energy consumption data. The best model in term of accuracy and model order is output error model with 70.78% accuracy and $17^{th}$ order. The model order reduction technique is used to reduce order of model to seven order for less complexity, then Kalman filtering technique is applied for remove white Gaussian noise for improve accuracy of model to be 72.66%. The obtained model can be also used for electrical load forecasting and designs the optimal size of renewable energy such photovoltaic system for supply the air conditioning.

• 제어로봇시스템학회논문지
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• 제13권4호
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• pp.365-370
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• 2007

This paper studies an automation problem of a heating, a ventilating, and an air conditioning (HVAC) for the development of smart space. The HVAC system is described by the fuzzy system for the stability analysis and the controller design. The linear matrix inequalities (LMIs) conditions are derived for the stabilization problem of the closed-loop system under the analog control. Also, it is required to digitally redesign the pre-designed the analog HVAC control system in order to accomplish the remote control via web. It is shown the this digital redesign problem can be converted to the convex optimization problem with the LMI constraints. An example is provided to show the effectiveness of the proposed method.

• 한국생산제조학회지
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• 제24권1호
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• pp.103-109
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• 2015

This paper introduces a multi-purpose smart fusion sensor. Normally, this type of sensor can contribute to energy savings specifically related to lighting and heating/air conditioning systems by detecting individuals in an office building. If a fire occurs, the sensor can provide information regarding the presence and location of residents in the building to a management center. The system consists of four sensors: a thermopile sensor for detecting heat energy, an ultrasonic sensor for measuring the distance of objects from the sensor, a fire detection sensor, and a passive infrared sensor for detecting temperature change. The system has a wireless communication module to provide the management center with control information for lighting and heating/air conditioning systems. We have also demonstrated the usefulness of the proposed system by applying it to a real environment.

• 한국정밀공학회지
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• 제24권6호
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• pp.15-22
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• 2007

• 제어로봇시스템학회논문지
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• 제12궈1호
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• pp.54-59
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• 2006

The smart space is composed of the wire and/or wireless network, multi-sensor-based environment, and many various controllers. For the smart space, this paper presents a new design method of multirate digital decentralized controller using the intelligent digital redesign technique. In specific, the proposed method is based on the delta-operator and the multirate sampling and takes the form of the LMIs. To shows the feasibility of the suggested method, the computer simulations for Heating, ventilating, and ai. conditioning (HVAC) system are provided.

• 한국응용과학기술학회지
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• 제31권3호
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• pp.466-471
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• 2014

It is important to develop the smart ventilation system in order to minimize a building energy consumption using ventilation. In this study, We evaluated the efficiency of the smart ventilation system being developed at the nursery. To evaluate the energy savings and carbon dioxide removal efficiency, two kinds of experimental conditions were compared. First, air conditioner and Smart HVAC system were operated. Second, air conditioner was operating and external air was put into the inside by rate of air circulation. It was more effective when working with air conditioning and ventilation system at the same time. If the Smart HVAC system is applied in a multi-use facility, indoor air quality will be comfortable and the social cost will be reduced.

• 대한건축학회논문집:구조계
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• 제34권9호
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• pp.27-34
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• 2018

The purpose of this study is to demonstrate and analyze the function of a Smart Plug before and after it is applied on the electrical appliances by controlling standby power usage. The research measures and analyzes the amount of electrical energy used while activating the Smart Plug with two types of appliances in a university facilities. The smart plugs were applied into a Group 1 appliances (Multi-function device, computer, laptop, Air con) which completely hinder the standby power, and a Group 2 appliances (Refrigerator, cold and hot water dispenser) which does not completely hinder the standby powers due to the characteristics of the function. First, the total standby power saving of all electrical appliances (Group 1 and Group 2) using the Smart plug was measured as 4.59%. Second, the energy saving of the Group 1 products was analyzed as 26.43%. Third, the standby power saving of the air conditioners from mid October to early December was measured as 31.06%, during the seasons when air conditioning was not actively in use. The research indicates that all specified appliances did have better energy efficiency with the Smart plug regardless of the amount of energy usage.