• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.117-118
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• 2006

최근 사전 예고 없는 잇따른 대형 정전 사고가 예기치 않게 발생하고 있으며, 심지어는 그 사고 원인을 정확하게 파악하지 못해 신속한 복구가 이루어지지 않아 막대한 피해가 발생되고 있는 실정이다. 따라서 이러한 사고를 사전에 예방하고 또한 상시 전력계통의 원활한 운전에 기여할 수 있는 모니터링 기법이 절실히 요구되고 있다. 전력선이나 전력 장비에는 다양한 요인에 의해 연화점이 생성될 수 있으며 이는 바로 절연파괴, 화재, 기기 손상 및 제어기기의 오동작을 유발할 수 있게 된다. 무엇보다 전력선이나 전력장비 전 구간에 대한 분포 개념의 온도 및 변형률을 모니터링 할 수 있다면 이러한 문제는 크게 해소될 수 있을 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.49-51
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• 2013

본 논문에서는 효율적인 전력사용을 위해 가정에서 사용하는 대기전력을 모니터링 할 수 있는 시스템을 구현하였다. 무선 근거리 통신을 지원하는 RF통신을 이용한 콘센트를 이용하여 가전기기의 현 상태에 따라 평균 전력량을 대입, 예상 전력량을 계산하여 임베디드 보드 및 스마트폰에서 전력량을 실시간으로 모니터링 할 수 있도록 시스템을 구현 하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.283-285
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• 2006

본 논문에서는 전력 누수를 줄이기 위하여 가정용 정보 가전 기기를 자동으로 제어 할 수 있는 시스템과 외부에서도 외부인의 출입과 화재 등을 확인할 수 있는 모니터링 시스템을 구현하였다. 무선 근거리 통신을 지원하는 zigbee를 이용하여 조도를 체크함으로써 알맞은 밝기를 유지할 수 있도록 전등을 자동으로 제어하고 인터넷을 이용하여 현재의 집안 곳곳을 볼 수 있도록 하여 언제든지 모니터링 할 수 있다.

• Proceedings of the KIPE Conference
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• 2015.07a
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• pp.129-130
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• 2015

본 논문에서는 기존의 에너지 세이빙 (Energy-Saving)을 위한 파워 모니터링 (Power Monitering) 기능을 에너지 모니터링 뿐 아니라 최신트렌드에 맞춘 생산효율 증대의 관점에서 확대 적용 가능성을 제안한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.469-478
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• 2022

This paper contains the results of developing smart devices and applications to monitor the load power of the industrial manufacturing machine and evaluate its performance. The smart devices in this paper are divided into two functionalities, which are collecting load power along with operating environment data of industrial manufacturing machines and transmitting the data to servers. Load power data collected from the smart devices are uploaded to MariaDB inside the Amazon Web Service (AWS) server. Using the RESTFul API, the uploaded power data can be retrieved and shown on the web and mobile application in the form of a graph to provide monitoring capability. To evaluate the performance of the developed system, the response time from MariaDB to web and mobile applications was measured. The results is ranging from 0.0256 to 0.0545 seconds in a 4G (LTE) network environment and from 0.6126 to 1.2978 seconds in a 3G network environment, which is considered a satisfactory result.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.10
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• pp.1949-1954
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• 2016

Smart grid technology can be called grid techniques to improve the efficiency of the electric power by exchanging bidirectional information of electric power with real-time between electric power suppliers and consumers. Recently, the solar power generation system is being applied actively. However the solar power system has several problems leading to reduce overall electricity generation, because the difficult of the diagnosis and the solar power system failure such as PV(PhotoVoltaics) and inverter. In order to build an efficient smart grid, a stable electric power energy requirements capture and management and early fault detection is essentially required in solar power generation system. In this paper, it is designed to monitor the operating status of the solar power monitoring system from a remote location through a RS-485 or TCP/IP communication module to monitoring the output of solar power energy and abnormal phenomenon, to developing the measurement module and to transfer measured data.

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.39-44
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• 2018

In this paper, we propose a monitoring method of smartphone to integrate IoT technology to monitor the state of the vehicle for fault diagnosis of E-Mobility power converter. In China, EV regulations are being implemented to promote technological development and market changes in electric vehicles. To meet this trend, E-Mobility should study suitable monitoring technology. The OBD-II method used in existing automobiles is a wired / wireless communication method. In order to apply it to E-Mobility, additional interface and communication link are required. In this paper, we propose a technology to monitor the status information of power converter for E-Mobility by combining existing technology with IoT. This technology simplifies the existing network protocol and hardware interface, and confirms that the E-Mobility power converter and smartphone can be interworked for easy user monitoring. And we have done research to make high value product design from the aspect of function.

• Journal of Advanced Marine Engineering and Technology
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• v.35 no.2
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• pp.288-294
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• 2011

In this paper, the FPGA-based SoC board (Xilinx Virtex-4 ML401 EVM) is adopted to control electrical power inverter system. For marine application, its performance is shown on PC-based system for monitoring electrical characteristics of a power inverter using by the NMEA 2000 protocol. This power inverter system is achieved in Real-Time monitoring and control by dual micro-processor operation on embedded FPGA-based SoC board. One micro processor is for control (Control processor) electrical power inverter using by PWM signal. And the other microprocessor (Communication processor) is for communication with PC-based monitoring system. The two-processor is communicating each other using by dual-port ram (DPRAM). PC-based system user can control and monitor information of the electrical power inverter via NMEA 2000 based communication processor. Control and monitoring information includes the inverter status and configuration. SoC board converts this information to Parameter Group Numbers (PGNs) in the NMEA 2000 protocol. This system can be applied to marine power electronics for distributed power generation, transmission or regulation systems on the ship.

• Journal of Bio-Environment Control
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• v.31 no.4
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• pp.366-375
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• 2022

The monitoring of electricity consumption using Internet of Things (IoT) technology is attracting attention as a technology to reduce operation costs of smart farms. In this study, we propose a method to apply a real-time electrical consumption monitoring system (the e-Gauge system) and utilization of the collected data real-time while a melon-producing smart farm is in operation. For this purpose, the electrical consumption data for the individual smart-farm facilities such as boilers, nutrient distribution systems, automatic controllers, circulation fans, boiler controllers, and other IoT-related utilities were collected during three months of melon cultivation period. By using the monitoring results, the electrical energy consumption pattern was analyzed as an example, and necessary considerations needed to optimally utilize the measurement data were suggested. This paper will be useful in lowering the technological implementation barriers for new researchers to build a electrical consumption monitoring system and reducing trial and errors in the usage of the generated data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.601-604
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• 2012

Recently, there have been many attempts to monitor the equipment's condition or the input devices in sensors remotely by using cable and wireless communications. Also, the research and development on this matter has been actively carried on. In this paper, we developed the monitoring system which will eliminate the errors of manual reading by humans and therefore will secure reliability between tenants and the building management office. Through the system, the private telecommunication network can be connected between the building management office and the households. This enables the control office to remotely read the electric meter and exact energy consumption of each household even when the tenants are absent.