• Title/Summary/Keyword: plant management system

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Gas Turbine Data Acquisition and Monitoring System for Combined Cycle Power Plant

  • Kang, Feel-Soon
    • Journal of information and communication convergence engineering
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    • v.6 no.4
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    • pp.405-410
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    • 2008
  • This paper presents a data acquisition and monitoring system for a gas turbine. The proposed system entitled C-Tune DAS plays an important role to make an analysis of the real-time operation of the gas turbine under maintenance. The designed LabVIEW based software is divided into three parts according to their original functions, i.e., data acquisition, data analysis with display, and data storage. The data acquisition part receives data from a PMS (Plant Management System) server and two cFPs (Compact-Field Point). To verify the validity of the developed system, it is applied to gas turbines in the combined cycle power plant in Korea.

A Study on Severe Accident Management Scheme using LOCA Sequence Database System (원자력발전소의 냉각재상실사고 특성DB를 활용한 중대사고 관리체계연구)

  • Choi, Young;Park, Jong-Ho
    • Journal of the Korean Society of Safety
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    • v.29 no.6
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    • pp.172-178
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    • 2014
  • In terms of an accident management, the cases causing severe core damage need to be analyzed and arranged systematically for an easy access to the results since the Three Mile Island (TMI) accident. The objectives of this paper are to explain how to identify the plant response and cope with its vulnerabilities using the probabilistic safety assessment (PSA) quantified results and severe accident database SARDB(Severe Accident Risk Data Bank) based on sequences analysis results. Although PSA has been performed for the Korean Standard Power Plants (KSNPs), and that it considered the necessary sequences for an assessment of the containment integrity. The developed Database (DB) system includes a graphical display for a plant and equipment status, previous research results by a knowledge-based technique, and the expected plant behaviour. The plant model used in this paper is oriented to the cases of loss of coolant accident (LOCA) is be used as a training simulator for a severe accident management.

Assessment and Management of Rice, Taro and Tropical Fruit Trees in Contrasting Agro-ecosystems in Vietnam

  • Hue, Nguyen Thi Ngoc;Jarvis, Devra;Sthapit, Bhuwon
    • The Korean Journal of Ecology
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    • v.27 no.1
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    • pp.21-26
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    • 2004
  • Understanding farmer household and community management of crop diversity is necessary in order to effectively strengthen the local plant genetic resources management system in Vietnam, Assessment and management for distribution of farmer's cultivars of rice, taro and tropical tree species were conducted in four different agro-ecological zones in Vietnam using participatory approaches, focus surveys, diversity fairs, agro-morphological field trials, isozyme analysis to understand why Vietnamese farmers grow diverse types of these crop cultivars, when and where these crops cultivars are grown and how farmers maintain and use them. Results showed significant differences in the extent, distribution and use pattern crop cultivars diversity in contrasting environments and between community farmer households. Seed system is an important role in the access and use of diversity in eco-geographical regions.

Development of Remote Control System for Power Plant (전력설비의 원격관리 시스템의 개발)

  • Kwak, Dong-Hyun;Oh, Jung-Eon;Yoon, Jae-Shik;Kim, Beung-Jin;Jeon, Hee-Jong
    • Proceedings of the KIEE Conference
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    • 2000.07b
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    • pp.1315-1317
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    • 2000
  • In this paper, a solution of remote manager system for power plant was introduced. In conventional remote control system computer or adapter are need to communicate with manager computer. As the number of managed power installations increases, the remote management system is going to be complicated and expensive. To solve the problem, a Multi-functional Board for power plant is developed. The Multi-functional Board has a both function of remote management and communication in LAN. This system will be hope to decrease the cost of remote management.

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Performance Evaluation of Registration and Sales of Veterinary Medical Devices in Korea (국내 동물용 의료기기 등록 및 판매 실태 조사)

  • An, Hyo-Jin;Kim, Chung-Hyun;Yoon, Hyang-Jin;Wee, Sung-Hwan;Moon, Jin-San
    • Journal of Veterinary Clinics
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    • v.32 no.1
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    • pp.85-90
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    • 2015
  • In this study, we investigated the number of categories of veterinary medical devices registered by Animal and Plant Quarantine Agency (QIA) by 2013. We also analyzed the sales of the veterinary medical devices reported from Korea Animal Health Product Association (KAHPA) from 2011 to 2013. The registration rate of veterinary medical devices has sharply increased since 2008, and a total of 495 categories from 141 companies were registered by the end of 2013. The multi-frequency products registered for companion animals were ultrasound imaging system, x-ray system, microchip & reader, telemetry system transmitter, and hematology analyzer. The veterinary medical devices for farm animals include marker, artificial insemination catheter, injector, and ultrasound imaging system. Of these products, the multi-frequency products dominated on the veterinary medical devices market. The market size of 223 (45.0%) veterinary medical devices was estimated to be approximately 20.6 billion Won in 2013; the proportion of domestic products and imports was 56% to 44%; the proportion of domestic demand and export was 82% to 18%, respectively. This study suggested that the registration and sales of the veterinary medical devices have gradually increased as the demand of health care services got bigger in Korea.

Improved Scheme to Manage Engineering Man-hour in a Plant Project (플랜트 프로젝트에서의 설계시간 관리 기법 개선 방안에 관한 연구)

  • Shin, Ji-Roh;Moon, Seung-Jae;Lee, Jae-Heon
    • Plant Journal
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    • v.5 no.1
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    • pp.51-59
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    • 2009
  • The global plant construction market has grown dramatically since 2000. As the market grows, domestic EPC contractors are expanding to meet its needs and have made great strides in terms of economic indicators from a decade ago. Larger projects involve a number of risk factors, such as volatile oil prices, however, and thus require quantitative and elaborate project management techniques for the ultimate success of a project's profitability. In addition, many Korean companies face difficulties in predicting potential risks and problems due to a lack of experience in dealing with the global market trend toward projects based on the Cost-re(Cost Reimbursable) contract as opposed to those based on the LSTK(Lumpsum Turnkey) contract. This study will examine methods and types of man-hour management according to plant project contract types. Further, it will explore the man-hour management system for successful completion of projects by satisfying the client's needs and enhancing the convenience in engineers' using the system. Additionally, this study will analyze the current system and identify its problems to address potential problems.

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Research on the Methode of Construction Information Management Considering the Nuclear Power Plant Life Cycle (원자력발전소 생애주기를 고려한 시공정보 관리방안 연구)

  • Byon, Su-jin;Lee, Sang-Hyun
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2016.05a
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    • pp.229-230
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    • 2016
  • The Nuclear Power Plant construction industry has the related to Information-integration field. In this study, the end user developed an Information Management System early in the project, and developed a management structure that systematically integrates and interfaces with information in each life-cycle phase. Particularly this paper related to the construction information of component.

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A Study on the Satisfaction of Working Uniform on Nuclear Power Plant (원자력 발전소 작업복의 착용만족도에 관한 연구)

  • Kim, Younghee;Cho, Kyungsook
    • Fashion & Textile Research Journal
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    • v.18 no.5
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    • pp.668-676
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    • 2016
  • The purposes of this study were to investigate the satisfaction of working uniform in Nuclear Power Plant and to suggest the improvement of dissatisfaction. 150 workers in control area of Nuclear Power Plant were participated in survey and 30 questionnaires were asked and subjective description was allowed. 65%/35% Poly/Rayon coverall type working uniform was investigated for this survey which had been wearing usually and basically in control area in Nuclear Power Plant. According to the results, respondents were most highly dissatisfied with the wearing convenience aspect of current coverall among any other aspects, like textile and management. In wearing convenience aspects, wrist and ankle opening band system, the design, number and placement of pocket, waist belt design, the width of sleeve and pants, and ADR opening system were dissatisfied and requested for improvement. In textiles aspects, weight, protection from radiation materials, prevention from static electricity, moisture absorption, ventilation and flexibility/elasticity were dissatisfied and requested for improvement. In management aspect, washing uniform and size variation were dissatisfied and requested for improvement. Therefore, for more comfortable human interfaced working uniform, wearing convenience system as well as textile and management system must be compensated and should be newly developed for improving worker comfort, mobility, and productivity.

The application of machine learning for the prognostics and health management of control element drive system

  • Oluwasegun, Adebena;Jung, Jae-Cheon
    • Nuclear Engineering and Technology
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    • v.52 no.10
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    • pp.2262-2273
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    • 2020
  • Digital twin technology can provide significant value for the prognostics and health management (PHM) of critical plant components by improving insight into system design and operating conditions. Digital twinning of systems can be utilized for anomaly detection, diagnosis and the estimation of the system's remaining useful life in order to optimize operations and maintenance processes in a nuclear plant. In this regard, a conceptual framework for the application of digital twin technology for the prognosis of Control Element Drive Mechanism (CEDM), and a data-driven approach to anomaly detection using coil current profile are presented in this study. Health management of plant components can capitalize on the data and signals that are already recorded as part of the monitored parameters of the plant's instrumentation and control systems. This work is focused on the development of machine learning algorithm and workflow for the analysis of the CEDM using the recorded coil current data. The workflow involves features extraction from the coil-current profile and consequently performing both clustering and classification algorithms. This approach provides an opportunity for health monitoring in support of condition-based predictive maintenance optimization and in the development of the CEDM digital twin model for improved plant safety and availability.