• 제목/요약/키워드: Intelligent plants management system

검색결과 16건 처리시간 0.025초

클라우드 기반 태양광 발전단지 통합 관리 시스템 (Cloud-based Intelligent Management System for Photovoltaic Power Plants)

  • 박경욱;반경진;송승헌;김응곤
    • 한국전자통신학회논문지
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    • 제7권3호
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    • pp.591-596
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    • 2012
  • 최근 태양광 발전단지 구축이 증가하면서 발전단지를 효율적으로 관리하는 시스템이 요구되고 있다. 본 논문에서는 다수의 태양광 발전단지들을 통합 관리하는 클라우드 기반의 지능형 관리 시스템을 제안한다. 제안된 시스템은 태양광 발전단지들의 설비 계측 데이터를 컬럼 지향 데이터베이스인 하둡 HBase를 이용하여 저장하고 관리하며 맵리듀스 모델을 통한 병렬처리를 통해 시스템의 성능, 효율, 발전량 예측을 빠르게 수행한다. 그리고 웹 기반의 데이터 시각화 모듈을 통해 관리자에게 다양한 형태의 정보를 제공한다.

홈 네트워크 기반의 효율적인 화분관리시스템 설계 및 구현 (Design and Implementation of the Efficient Potted Plants Management System based on Home Network)

  • 권순량
    • 한국산학기술학회논문지
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    • 제12권4호
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    • pp.1904-1910
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    • 2011
  • 대부분의 가정이나 사무실에서 인테리어 또는 관상용으로 화분에 화초를 심어 기르고 있으나 바쁜 일상생활 및 전문지식 부족으로 인해 화분 관리에 어려움이 따르고 있다. 본 논문에서는 이러한 화분관리의 어려움을 해결하기 위해 자동제어, 수동제어, 그리고 이동단말기와 PC를 통한 원격제어 및 모니터링 기능을 통해 효율적으로 화분을 관리할 수 있는 홈 네트워크 기반의 화분관리시스템을 설계 및 구현하고자 한다. 이를 위해 화분관리시스템의 구조, 정보 흐름, 동작 제어 흐름을 설계하고 설계된 내용에 기초하여 시스템을 구현하였다. 그리고 10가지 항목에 대한 기능 시험을 통해 구현된 시스템을 검증하였다. 이를 통해 기존의 관상용 화초관리 시스템 및 가전기기중심의 홈 네트워크 시스템에 비해 효율적으로 화분을 관리할 수 있을 것으로 기대된다.

원자력발전소 PSI/ISI 데이더 관리를 위한 지능형 데이더베이스 프로그램 개발 (제 2보) (Development of Intelligent Database Program for PSI/ISI Data Management of Nuclear Power Plant (Part II))

  • 박은수;박익근;엄병국;이종포;한치현
    • 비파괴검사학회지
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    • 제20권3호
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    • pp.200-205
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    • 2000
  • 제 1보에서 Windows 환경 하에서 PSI/ISI 데이터의 효율적 관리 및 다원적평가와 분석이 가능한 고리 원전 PSI/ISI 데이터베이스 구축과 프로그램 개발(IDPIN)에 대해 소개하였다. 제 2보에서는 월성 원자력발전소 PSI/ISI 자료 관리를 위한 지능형 데이터베이스 프로그램(WS-IDPIN)을 개발하였다. 이 프로그램에는 월성 원전 PSI/ISI 관련 자료 분석 기능, PSI/ISI UT 검사 보고서 양식의 표준화와 전산 시스템화, PSI/ISI 비파괴검사 결과의 통계적 신뢰도 평가 프로그램(depth and length sizing performance 등) 등을 개발하여 원전 PSI/ISI 데이터 관리 전문가시스템(expert system)화에 한 단계 접근하였다.

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The Strategy for Intelligent Integrated Instrumentation and Control System Development

  • Kwon, Kee-Choon;Ham, Chang-Shik
    • 한국원자력학회:학술대회논문집
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    • 한국원자력학회 1995년도 추계학술발표회논문집(1)
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    • pp.153-158
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    • 1995
  • All of the nuclear power plants in Korea we operating with analog instrumentation and control (I&C) equipment which are increasingly faced with frequent troubles, obsolescence and high maintenance expenses. Electrical and computer technology has improved rapidly in recent years and has been applied to other industries. So it is strongly recommended we adopt modern digital and computer technology to improve plant safety and availability. The advanced I&C system, namely, Integrated Intelligent Instrumentation and Control System (I$^3$CS) will be developed for beyond the next generation nuclear power plant. I$^3$CS consists of three major parts, the advanced compact workstation, distributed digital control and protection system including Automatic Start-up/shutdown Intelligent Control System (ASICS) and the computer-based alarm processing and operator support system, namely, Diagnosis, Response, and operator Aid Management System (DREAMS).

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Web기반 발전설비 정비관리시스템 개발 (The development of web based power plant maintenance management system)

  • 김범신;김의현;장동식;조재민;채길석;정규철
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2004년도 춘계학술대회
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    • pp.2059-2063
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    • 2004
  • Most power plants have operated many independent computerize systems for maintenance. Independence of systems have caused complexity of business process and inconvenience of computer system management. Because the equipment and material master data is not standardize and structurize, it is difficult to manage equipment maintenance history and material delivery. Especially equipment classification criterion is important for standardization of every maintenance information. It is necessary to integrate function of independent systems for business process simplification and rapid work flow. this paper provides equipment classification criterion design and system integration method with the case of live system development.

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Development of Energy Management System for Micro-Grid with Photovoltaic and Battery system

  • Asghar, Furqan;Talha, Muhammad;Kim, Sung-Ho
    • 한국지능시스템학회논문지
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    • 제25권3호
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    • pp.299-305
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    • 2015
  • Global environmental concerns and the ever increasing need of energy, coupled with steady progress in renewable energy technologies, are opening up new opportunities for utilization of renewable energy resources. Distributed electricity generation is a suitable option for sustainable development thanks to the load management benefits and the opportunity to provide electricity to remote areas. Solar energy being easy to harness, non-polluting and never ending is one of the best renewable energy sources for electricity generation in present and future time. Due to the random and intermittent nature of solar source, PV plants require the adoption of an energy storage and management system to compensate fluctuations and to meet the energy demand during night hours. This paper presents an efficient, economic and technical model for the design of a MPPT based grid connected PV with battery storage and management system. This system satisfies the energy demand through the PV based battery energy storage system. The aim is to present PV-BES system design and management strategy to maximize the system performance and economic profitability. PV-BES (photovoltaic based battery energy storage) system is operated in different modes to verify the system feasibility. In case of excess energy (mode 1), Li-ion batteries are charged using CC-CV mechanism effectively controlled by fuzzy logic based PID control system whereas during the time of insufficient power from PV system (mode 2), batteries are used as backup to compensate the power shortage at load and likewise other modes for different scenarios. This operational mode change in PV-BES system is implemented by State flow chart technique based on SOC, DC bus voltages and solar Irradiance. Performance of the proposed PV-BES system is verified by some simulations study. Simulation results showed that proposed system can overcome the disturbance of external environmental changes, and controls the energy flow in efficient and economical way.

Intercropping in Rubber Plantation Ontology for a Decision Support System

  • Phoksawat, Kornkanok;Mahmuddin, Massudi;Ta'a, Azman
    • Journal of Information Science Theory and Practice
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    • 제7권4호
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    • pp.56-64
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    • 2019
  • Planting intercropping in rubber plantations is another alternative for generating more income for farmers. However, farmers still lack the knowledge of choosing plants. In addition, information for decision making comes from many sources and is knowledge accumulated by the expert. Therefore, this research aims to create a decision support system for growing rubber trees for individual farmers. It aims to get the highest income and the lowest cost by using semantic web technology so that farmers can access knowledge at all times and reduce the risk of growing crops, and also support the decision supporting system (DSS) to be more intelligent. The integrated intercropping ontology and rule are a part of the decision-making process for selecting plants that is suitable for individual rubber plots. A list of suitable plants is important for decision variables in the allocation of planting areas for each type of plant for multiple purposes. This article presents designing and developing the intercropping ontology for DSS which defines a class based on the principle of intercropping in rubber plantations. It is grouped according to the characteristics and condition of the area of the farmer as a concept of the rubber plantation. It consists of the age of rubber tree, spacing between rows of rubber trees, and water sources for use in agriculture and soil group, including slope, drainage, depth of soil, etc. The use of ontology for recommended plants suitable for individual farmers makes a contribution to the knowledge management field. Besides being useful in DSS by offering options with accuracy, it also reduces the complexity of the problem by reducing decision variables and condition variables in the multi-objective optimization model of DSS.

석탄발전산업을 위한 지능형 CCTV 기반 스마트안전관리시스템 개발 연구 (Development of a CCTV Based Smart Safety Management System in Thermal Power Plants)

  • 송호준;고건실;신완선
    • 산업경영시스템학회지
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    • 제44권3호
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    • pp.50-63
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    • 2021
  • There has been a steady rate of accident in Coal Thermal Power Plants which have relatively higher chance of mortality. However, neither the systematic view of safety management nor the methodology such as safety factors or system requirements are yet to be studied in detail. Therefore, this study aims to propose a methodology to preemptively deal with safety issues and to secure fact focused responsibility in safety. It consists of two main parts. First, the Safety Measurement Index(SMI) with total 50 factors is proposed by analyzing the key factors that contribute to safety accidents based on failure mode and effect analysis (FMEA) and quality function deployment (QFD). To analyze the safety requirements, index presented by major countries and organizations are discussed. Second, main features of intelligent CCTV are studied to determine their relative importance for the framework of Smart Safety Management System (SSMS). Main features are discussed with four technological steps. Also, QFD was held to analyze to analyze how key technologies deal with Quality Measurement Index(QMI). The research results of this study reveal that scientific approaches could be utilized in integrating CCTV technologies into a smart safety management system in the era of Industry 4.0. Moreover, this reasearch provides an specific approach or methodology for dealing with safety management in Coal Thermal Power Plant.

생체 환경 정보 센싱 모듈 및 농장 제어 게이트웨이를 이용한 스마트 낙농 관리 시스템 개발 (Smart Dairy Management System Development Using Biometric/Environmental Sensors and Farm Control Gateway)

  • 박용주;문준
    • 대한임베디드공학회논문지
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    • 제11권1호
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    • pp.15-20
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    • 2016
  • Recently, the u-IT applications for plants and livestock become larger and control of livestock farm environment has been used important in the field of industry. We implemented wireless sensor networks and farm environment automatic control system for applying to the breeding barn environment by calculating the THI index. First, we gathered environmental information like livestock object temperature, heart rate and momentum. And we also collected the farm environment data including temperature, humidity and illuminance for calculating the THI index. Then we provide accurate control action roof open and electric fan in of intelligent farm to keep the best state automatically by using collected data. We believed this technology can improve industrial competitiveness through the u-IT based smart integrated management system introduction for industry aversion and dairy industries labor shortages due to hard work and old ageing.

원전 증기 발생기 전열관 검사 자동화를 위한 지능형 통합 시스템 개발 (Development of an intelligent and integrated system for automatic inspection of steam-generator tubes in nuclear power plant)

  • 강순주;최유락;최성수;우희곤
    • 제어로봇시스템학회논문지
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    • 제2권3호
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    • pp.236-241
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    • 1996
  • This paper presents a new eddy current testing system for inspecting tubes of steam generator in nuclear power plant. The proposed system adopted embedded expert system concept to automate tasks of the inspection such as inspection planning and flaw signal interpretation, and integrated all the tasks into a client/server type computing architecture using database management system. Therefore, human factor errors occurred during inspection could be minimized and the inspection data could be transferred in real-time. As a result, we can increase the level of inspection confidence and the productivity of a personal inspector. A prototype of the proposed system has been developed for 5 years and the test operation has been performed in domestic nuclear power plants.

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