• Title/Summary/Keyword: smart power outlet

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Implementation of the automatic standby power blocking socket outlet having a blocking power threshold per electronic device by the smart machine (스마트 기기에 의해 전자기기별 차단전력문턱치 설정기능이 장착된 자동대기전력 차단콘센트 구현)

  • Oh, Chang-Sun;Park, Chan-Young;Kim, Dong-Hoi;Kim, Gi-Taek
    • Journal of Digital Contents Society
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    • v.15 no.4
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    • pp.481-489
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    • 2014
  • In this paper, the automatic standby power blocking socket outlet to reduce standby power by blocking power threshold is implemented. Where, the standby power means a flowing power when a disused power electronic is plugged into the socket outlet. The proposed socket outlet can cut off the standby power by establishing a proper block power threshold electronic device according to each electronic device because it can monitor the amount of power through the smart machines such as the real-time PC or mobile phone and directly control the blocking power threshold. The software is implemented by using Visual Studio software, code vision and SN8 C studio, and the hardware is embodied in ATmega128, SN8F27E93S, USB to UART, and relay etc. Through the simulation, we find that the standby power of the proposed method is similar to that of the conventional method in case of the cellular phone but the standby power of the proposed method is much less than that of the conventional method in case of the computer, air conditioning, and set-top box. Therefore, it is proved that the proposed socket outlet has a superior performance in terms of the standby power.

Development of Intelligent Outlets for Real-Time Small Power Monitoring and Remote Control (실시간 소전력 감시 및 원격제어용 지능형 콘센트 개발)

  • Kyung-Jin Hong
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.2
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    • pp.169-174
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    • 2023
  • Currently, overall power usage is also increasing as power demand such as homes, offices, and factories increases. The increase in power use also raised interest in standby power as a change in awareness of energy saving appeared. Home and office devices are consuming power even in standby conditions. Accordingly, there is a growing need to reduce standby power, and it aims to have standby power of 1W or less. An intelligent outlet uses a near-field wireless network to connect to a home network and cut or reduce standby power of a lamp or appliance connected to an outlet. This research aims to develop a monitoring system and an intelligent outlet that can remotely monitor the amount of electricity used in a lighting lamp or a home appliance connected to an outlet using a short-range wireless network (Zigbee). Also, The intelligent outlet and monitoring system developed makes it possible for a user to easily cut off standby power by using a portable device. Intelligent outlets will not only reduce standby power but also be applicable to fire prevention systems. Devices that cut off standby power include intelligent outlets and standby power cutoff switches, so they will prevent short circuits and fires.

Design of New Smart Switch with Remote Power Control and Standby Power Management Function (원격 전력제어 및 대기전력 관리 기능을 갖는 새로운 스마트 스위치 설계)

  • Lee, Yong-An;Kim, Kang-Chul;Han, Seok-Bung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.10
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    • pp.2343-2350
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    • 2010
  • In this paper, new smart switch that can monitor and control the power consumption and standby power in real-time by implementing an embedded web-server is proposed. The proposed switch can perform the following functions: measuring the electric power like commercial smart meter product, monitoring the power consumption in real-time in distant places through wire and wireless devices, and finally controlling ON/OFF of each switch. In addition, it also contains auto power-shutoff functions for standy power, overvoltage and overcurrent just like existing power-saving outlet and mulitap. Finally, the proposed smart switch has lower hardware and power consumption than the existing products and can be commercialized as a small-sized product by using exclusive embedded web-server of its own, rather than using PC for monitoring and remote control.

The research of Automatic Classification of Products Using Smart Plug by Artificial Intelligence Technique (인공지능 기법으로 스마트 플러그를 이용한 제품 자동분류에 관한 연구)

  • Son, Chang-Woo;Lee, Sang-Bae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.6
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    • pp.842-848
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    • 2018
  • The Smart plug is a device that connects between the outlet and the product at home, and it is an IoT type device that can drive energy saving and transmit information to the outside by power on / off control function and power measurement function. In this case, a smart plug that incorporates deep learning of intelligence technology that allows people to learn how to think about a computer, automatically classifies a product as it operates, and automatically tests the operating status of the washing machine by using input AC current pattern. Through this study, even if the product does not function as IoT, it can classify product type and operation state by smart plug connection alone, so we can draw a new paradigm of life pattern and energy saving in one family.

Design and Implementation of Zigbee-CoAP-based Standby Power Saving System (Zigbee-CoAP 기반 대기전력 절감 시스템 설계 및 구현)

  • Jang, Young-Hwan;Lee, Sang-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.5
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    • pp.616-622
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    • 2020
  • Recently, as the interest in power saving increases with the development of IoT technology, research on power saving of smart devices, which are being miniaturized, is being actively conducted. In particular, due to the diversification of IoT-based smart devices and the increase in personal penetration rate, the issue of standby power even when not in use is increasing. However, there is a drawback of physically unplugging the outlet or turning off the power in order to substantially reduce standby power. Since Zigbee is used instead of the existing IP, it is necessary to change to the IoT standard protocol based on the Internet network. Therefore, this paper designed and implemented the standby power saving system applying CoAP, the IoT standard protocol, to the existing Zigbee technology. Existing systems and evaluations confirmed that the average standby power of about 8.4Wh was reduced.

Development of smart power terminal system for home use with power line communication (전력선통신을 이용한 가정용 지능화 부하 단말 시스템의 개발)

  • Park, Chan-Won;Chun, Jin-Wook;Chun, Sam-Suk
    • Proceedings of the KIEE Conference
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    • 2006.07d
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    • pp.2015-2016
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    • 2006
  • 본 논문은 전원출력단(outlet)에 연결된 이산적인 사무용 및 가전기기들의 전력사용을 실시간으로 감시 센싱하고 이들 간의 데이터 전송 및 사용상태를 파악하여 최적의 전력 사용 환경을 유지 할 수 있도록 제어해 주는 설비장치와 전력선통신의 신호전달을 원활히 하기위한 전력선 통신 리피터의 개발에 관한 것이다.

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Development of a Peristaltic Micropump with Lightweight Piezo-Composite Actuator Membrane Valves

  • Pham, My;Goo, Nam-Seo
    • International Journal of Aeronautical and Space Sciences
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    • v.12 no.1
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    • pp.69-77
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    • 2011
  • A peristaltic micropump with lightweight piezo-composite actuator (LIPCA) membrane valves is presented. The micropump contained three cylinder chambers that were connected by microchannels and two active membrane valves. A circular miniature LIPCA was developed and manufactured to be used as actuating diaphragms. The LIPCA diaphragm acted as an active membrane valve that alternate between open and closed positions at the inlet and outlet in order to produce high pumping pressure. In this LIPCA, a lead zirconium titanate ceramic with a thickness of 0.1 mm was used as an active layer. The results confirmed that the actuator produced a large out-of-plane deflection. During the design process, a coupled field analysis was conducted in order to predict the actuating behavior of the LIPCA diaphragm; the behavior of the actuator was investigated from both a theoretical and experimental perspective. The active membrane valve concept was introduced as a means for increasing pumping pressure, and microelectromechanical system techniques were used to fabricate the peristaltic micropump. The pumping performance was analyzed experimentally in terms of the flow rate, pumping pressure and power consumption.

Monitoring and Prediction of Appliances Electricity Usage Using Neural Network (신경회로망을 이용한 가전기기 전기 사용량 모니터링 및 예측)

  • Jung, Kyung-Kwon;Choi, Woo-Seung
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.8
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    • pp.137-146
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    • 2011
  • In order to support increased consumer awareness regarding energy consumption, we present new ways of monitoring and predicting with energy in electric appliances. The proposed system is a design of a common electrical power outlet called smart plug that measures the amount of current passing through current sensor at 0.5 second. To acquire data for training and testing the proposed neural network, weather parameters used include average temperature of day, min and max temperature, humidity, and sunshine hour as input data, and power consumption as target data from smart plug. Using the experimental data for training, the neural network model based on Back-Propagation algorithm was developed. Multi layer perception network was used for nonlinear mapping between the input and the output data. It was observed that the proposed neural network model can predict the power consumption quite well with correlation coefficient was 0.9965, and prediction mean square error was 0.02033.

Design of Air-Lifted Seawater Propulsion System (ALSP) for Ecoships' Auxiliary Propulsion 1

  • Lee, Jae-hyuk
    • International journal of advanced smart convergence
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    • v.10 no.2
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    • pp.15-20
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    • 2021
  • We constructed an air-lifted seawater propulsion system for decreasing fuel consumption of the ships. The system has a form of pipes which can be easily installed on the sides of the ship. Seawater mixed with air, will rise along within the pipe, and will be discharged downward. If the directions of inlet / outlet of the pipe are designed properly, a propulsive energy can be obtained. We tested the system with a model ship in Jangsa port at Sokcho-city with a water depth of 2.5 meters. The system was supplied regulated air at 6 bars during the 3 tests. The model ship was moving forward at a rate of 0.18 meters per second. In case of large ships equipped zfrom clean energy.

Realization of home appliance classification system using deep learning (딥러닝을 이용한 가전제품 분류 시스템 구현)

  • Son, Chang-Woo;Lee, Sang-Bae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.9
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    • pp.1718-1724
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    • 2017
  • Recently, Smart plugs for real time monitoring of household appliances based on IoT(Internet of Things) have been activated. Through this, consumers are able to save energy by monitoring real-time energy consumption at all times, and reduce power consumption through alarm function based on consumer setting. In this paper, we measure the alternating current from a wall power outlet for real-time monitoring. At this time, the current pattern for each household appliance was classified and it was experimented with deep learning to determine which product works. As a result, we used a cross validation method and a bootstrap verification method in order to the classification performance according to the type of appliances. Also, it is confirmed that the cost function and the learning success rate are the same as the train data and test data.