• Journal of the Institute of Electronics Engineers of Korea SC
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• v.39 no.1
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• pp.1-6
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• 2002

In this paper, we propose temperature inference system for indoor and outdoor temperature of the Air-Conditioner with limited sensors. The proposed system based on the network theory of biological immune system consists of indoor and outdoor temperature inference process. It is designed that on-line temperature inference is possible. This system is admirable for unlearned data as well as given input data by making efficient use of previous information.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2536-2543
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• 2013

In this paper, we proposed the modeling in one zone buildings and the energy efficient temperature control algorithm using particle swarm optimization (PSO). A control horizon switching method with PSO is used for optimal control, and the TOU tariff is included to calculate the energy costs. Simulation results show that the reductions of energy cost and peak power can be obtained using proposed algorithms.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1781-1782
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• 2007

건축물의 냉방 난방 제어를 위해서 열쾌적성과 에너지 절감에 기술이 집중되어서 발생하는 실내공기 오염에 대해서 실내 냉방 난방 부하와 $CO_2$ 농도에 따라서 환기량을 조절하는 "온도 습도 $CO_2$ 검출 및 제어용 멀티캐스트 컨트롤러"(이하 "컨트롤러")를 개발하였다. 컨트롤러의 어플리케이션은 뉴런C로 프로그램 하였으며 자동제어 네트워크의 환경에 따라서 전용선, 전력선 및 무선 통신 방식을 적용할 수 있도록 모듈형태로 제작하여서 현장 적용성을 높였다. 연구 결과 온도, 습도 및 $CO_2$를 분석하여 환기량을 조절하여 낭비 에너지를 줄였고 실내 공기의 오염을 예방하게 되었고 멀티캐스트 방식으로 자동제어 네트워크의 통신트래픽이 감소되고 효율성을 높였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.273-275
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• 2009

In recent years, many home machines have been developed in order to design and control comfortable interior inside houses. For such task, important factors are temperature, natural and interior lights, and space and control of relative factors each other. This paper presents novel sensor module inside houses, which is designed based on these factors through the PMV (Predicted Mean Vote) standard using information about home state. Moreover, LonWorks based power line communication technique is utilized for control interior lights and air-conditioners by means of wireless remote controllers. This mechanism is systemically operated via intelligent control framework.

• Proceedings of the SAREK Conference
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• 2005.11a
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• pp.480-485
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• 2005

In the respect of the environmental protection viewpoint, the $CO_2$ may be regarded as one of the most attractive alternative refrigerants for an automotive air-conditioning system. Control methods for a $CO_2$ system should be newly developed, because properties of $CO_2$ are different compared with those of classical refrigerants. Especially, high-side pressure of a $CO_2$ system should be controlled for the effective operation of the system. In this study, intelligent control algorithms for a $CO_2$ system were developed ‘ These are a high-side pressure control algorithm and an indoor air temperature control algorithm. These algorithms were analysised by using dynamic models of a $CO_2$ system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.389-392
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• 2018

In this paper, we try to make a pleasant environment by adjusting the fan moving by temperature and humidity in hot and humid room. To do this, we propose a fuzzy-based fan control using room temperature and humidity, collect environment data such as indoor temperature and humidity using Arduino, transmit it to Bluetooth communication, and adjust the operation time of fan according to fuzzy logic. To do this, connect a temperature and humidity sensor to the Arduino hardware, write the source code using the Arduino program on your computer, and code it in Arduino. Then, the environmental data obtained after collecting environmental data such as humidity from Arduino is transferred to the Arduino Control Module through Bluetooth communication. We use the fuzzy logic to control the time of fan operation according to environmental data such as temperature and humidity. At the end of this process, the fan will operate according to temperature and humidity to create a pleasant environment. Through this study, Arduino was simpler and easier to use than I thought, and I think it's easy to use and can be used in real life by using Arduino hardware, data acquisition, fuzzy logic, and control.

• Journal of Bio-Environment Control
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• v.8 no.3
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• pp.152-163
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• 1999

It is required to analyze the controlled response of air temperature in greenhouse according to control techniques for precise control. In this study, a mathematical model was established for air heating of greenhouse with hot-water heating system The parameters of the model were decided by regression analysis using reference data measured at the greenhouse being heated In the simulation for the digital control of air temperature in the greenhouse, the mathematical model to evaluate the control performances was used. Tested control methods were ON-OFF contpol, p control, rl control and PID control. The mathematical model represented by inside air temperature ( T$_{i}$), hot-water temperature (T$_{w}$) in heating pipe and outside air temperature (T$_{o}$) was expressed as a following discrete time equation ; T$_{i}$($textsc{k}$＋1)＝ 0.851.T$_{i}$($textsc{k}$)＋0.055.T$_{w}$($textsc{k}$)＋0.094.T$_{o}$($textsc{k}$) Control simulations for various control methods showed the settling time, the overshoot and the steady state nor as follows; infinite time, 3.5$0^{\circ}C$, 3.5$0^{\circ}C$ for ON-OFF control : 30min 2.37$^{\circ}C$, 0.51$^{\circ}C$ for P control; 21min, 0.0$0^{\circ}C$, 0.23$^{\circ}C$ for PI control; 18min 0.0$0^{\circ}C$, 0.23$^{\circ}C$ for PID control, respectively. PI and PID controls appeared to be optimal control methods. There was no effect of differential gain on the heating process but much effect of integral gain on it.on it.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1992.06a
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• pp.517-520
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• 1992

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.4
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• pp.645-650
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• 2017

It is a system that controls temperature, humidity and fine-dust to make interior environment more comfortable for modern people who spend 90% of the time in indoor. In an experiment of finding which one of temperature and humidity influence more to discomfort index, for a fixed temperature of 21, discomfort index increased by 0.1 with a 1 change of humidity, and for a fixed humidity of 40, discomfort index increased by 1.2 with a 1 change of temperature. As a result, it was found that the temperature is more influential than the humidity to discomfort index. In an experiment of measuring communicational limitation of Bluetooth, the communication was possible for at most 30 meters without obstacles. With high obstacles like walls or steel bars, it was able to penetrate at most 2 obstacles and maximum distance which it can communicate was 10 meters for just one high molecule obstacle.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.3
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• pp.205-211
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• 2013

Recently, the needs of system performances such as working speed and processing accuracy in machine tools have been increased. Especially, the working speed increment generates harmful heat at both moving part of the machine tools and handicrafts. The heat is a main drawback to progress accuracy of the processing. Hence, a oil cooler to control temperature is inevitable for the machine tools. In general, two representative control schemes, hot-gas bypass and variable speed control of a compressor, have been adopted in the oil cooler system. This paper deals with design and implementation method of fuzzy controller for obtaining precise temperature characteristic of HB oil cooler system in machine tools. The opening angle of an electronic expansion valve are controlled to keep reference value and room temperature of temperature at oil outlet. Especially, the fuzzy controller is added to suppress temperature fluctuation under abrupt disturbances. Through some experiments, the suggested method can control the target temperature within steady state error of ${\pm}0.22^{\circ}C$.