• 제목/요약/키워드: Plant Engineering Program

검색결과 453건 처리시간 0.021초

분산 제어 시스템용 기능 블록 작성기 구현 (Implementation of the Function Block Builder for the Distributed Control System)

  • 권만준
    • 한국정보통신학회논문지
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    • 제6권6호
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    • pp.974-979
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    • 2002
  • 다양한 공정 분야-발전 플랜트, 수처리 플랜트, 소각로 플랜트, 화학 플랜트, 시멘트 플랜트-에서 적용되는 제어 프로그램은 많은 종류가 있다. 이러한 제어 프로그램을 작성하기 위해서는 기존의 텍스트 기반의 제어 언어로는 현장의 엔지니어가 프로그램을 작성, 수정, 테스트 및 디버깅하는데 있어 어려움이 많다. 따라서 본 연구에서는 이러한 텍스트 기반의 단점을 해결하고, 다양한 플랜트에 적용이 가능하며 제어에 대한 일반적인 지식이 있는 엔지니어라면 누구나 쉽게 사용할 수 있는 제어 프로그램의 블록화 도형으로 표현할 수 있는 도구를 구현하였다. 구현된 기능 블록 작성기를 이용하면 제어의 흐름에 대한 시각적 표현과 제어의 중간 출력값 등을 볼 수 있어 보다 정밀한 공정 제어를 효율적으로 수행할 수 있다.

배관 해석 프로그램을 통한 해수담수화 플랜트 수압 시스템 분석 (Analysis of hydraulic system for seawater desalination plant through piping analysis program)

  • 최지혁;최용준;양흥식;이상호;최준석
    • 상하수도학회지
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    • 제34권3호
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    • pp.221-230
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    • 2020
  • In actual seawater desalination plant, the pressure loss due to frictional force of pipe is about 3~5 bar. Also, the pressure loss at pipe connection about 1~3 bar. Therefore, the total pressure loss in the pipe is expected to be about 4~8 bar, which translates into 0.111 to 0.222 kWh/㎥ of energy when converted into the Specific Energy Consumption(SEC). Reducing energy consumption is the most important factor in ensuring the economics of seawater desalination processes, but pressure loss in piping is often not considered in plant design. It is difficult to prevent pressure loss due to friction inside the pipe, but pressure loss at the pipe connection can be reduced by proper pipe design. In this study, seawater desalination plant piping analysis was performed using a commercial network program. The pressure loss and SEC for each case were calculated and compared by seawater desalination plant size.

릴레이 궤환을 이용한 자동동조 PID 제어기의 GUI-Program 개발과 수위온도제어 플랜트에의 실시간 적용 (Development of GUI-program for Auto-tuning PID controller using relay feedback and Application of level-temperature plant)

  • 유병철;한진욱;이창구
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 B
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    • pp.609-611
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    • 1999
  • The purpose of this research is on figuring out the optimal PID parameter using critical gain and critical frequency that are obtained by relay feedback. The operating has been done under the condition that the least information about the object plant is given and also the operating is processed within the limit which dose not give rise to bad influence on the object plant. For simulation auto-tuning PID controller using relay feedback which also works on on-line at the same time is developed by the upper procedure. This algorithm is tried to apply to level-temperature control plant on a real time with PC Interface Card.

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Logical 모델을 활용한 자동차 차체 조립 라인의 시뮬레이션 적용을 위한 방안 연구 및 적용 (A Study and Application of Methodology for Applying Simulation to Car Body Assembly Line using Logical Model)

  • 구락조;박상철;왕지남
    • 한국CDE학회논문집
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    • 제14권4호
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    • pp.225-233
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    • 2009
  • The objective of this paper is to examine a construction method and verify PLC logic using the logical modeling and simulation of a virtual plant has complex manufacturing system and the domain of application is car body assembly line of automotive industrial operated by PLC Program. The proposed virtual plant model for the analysis of the construction method consists of three types of components which are virtual device, intermediary transfer and controller is modeled by logical model but it the case of the verification of PLC program, HMI and PLC logic in the field substitute for the controller. The implementation of the proposed virtual plant model is conducted PLC Studio which is an object-oriented modeling language based on logical model. As a result, proposed methods enable 3D graphics is designed in the analysis step to use for verification of PLC program without special efforts.

국내 플랜트 엔지니어링 산업의 건축공학 분야 기술인력 수급을 위한 대학교육 개선에 관한 연구 (Improvement of University Education for Supplying Technical Manpower for Plant Engineering Industry in the Architectural Engineering Field)

  • 심현선;김영일;정광섭
    • 설비공학논문집
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    • 제26권1호
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    • pp.15-20
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    • 2014
  • In this study, improvement of university education is suggested so that university graduates in Architectural Engineering can work in the plant engineering industry without major retraining, which is generally required by plant engineering companies. Before the disposition of manpower to a plant engineering site, new recruits are retrained for about 2~3 years, since university education is neither sufficient, nor appropriate to handle plant engineering tasks. It is necessary to implement practical plant engineering into university education, so that graduates can work effectively in plant engineering fields, without major retraining. For a case study of an S2 University located in Seoul, it is enough to supplement the interdisciplinary program with plant engineering subjects, if proper texts are developed. To replace the plant engineering education offered by the company with university education, the following measures should be taken. First, basic plant engineering should be taught for 15 hours. Second, education on design and drawings should be reinforced.

하수관거 평가 및 정비 우선순위 의사결정도구 개발 (Development of sewer condition assessment and rehabilitation decision-making program(SCARD))

  • 한상종;황환국
    • 상하수도학회지
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    • 제29권1호
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    • pp.123-131
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    • 2015
  • A CCTV inspection method has been widely used to assess sewer condition and performance, but Korea lacks a proper decision support system for prioritizing sewer repair and rehabilitation (R&R). The objective of this paper is to introduce the results that we have developed in the Sewer Condition Assessment and Rehabilitation Decision-making (SCARD) Program using MS-EXCEL. The SCARD-Program is based on a standardized defect score for sewer structural and hydraulic assessment. Priorities are ranked based on risk scores, which are calculated by multiplying the sewer severity scores by the environmental impacts. This program is composed of three parts, which are decision-making for sewer condition and performance assessment, decision-making for sewer R&R priority assessment, and decision-making for optimal budget allocation. The SCARD-Program is useful for decision-makers, as it enables them to assess the sewer condition and to prioritize sewer R&R within the limited annual budget. In the future, this program logic will applied to the GIS-based sewer asset management system in local governments.

상추의 자엽 및 제 1엽 절편체들로부터 효율적인 식물체 재분화 (Efficient plant regeneration from cotyledon and primary leaf explants of lettuce (Lactuca sativa L.))

  • 손보화;박철규;안남영;전주미;김차영;오세찬;이영훈;갈상완;이성호
    • 생명과학회지
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    • 제17권6호통권86호
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    • pp.822-824
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    • 2007
  • KN배지에서 상추 자엽과 제1엽 절편체로부터 식물체 재분화율을 품종별 비교 했을 때, 자엽에서 정통포기 품종이 91.3%로 가장 높게 나타났고, 고향뚝적축면 품종이 52.3%, 청치마 품종이 35.4%로 가장 낮게 나타났다. 제1엽에서도 정통포기 품종이 85.9%로 가장 높게 나타났고, 고향뚝적축면품종이 50.8%, 청치마 품종에서 30.3% 효운을 나타내었다. 재분화 효율이 가장 낮은 청치마 품종의 재분화 효율을 높이기 위해 다양한 재분화 배지를 사용하여 청치마 품종의 자엽과 제1엽의 식물체 재분화 효율을 비교했다. 자엽에서 재분화 효율은 Kl 배지와 SH 배지, NB 배지에서 거의 평균 77.2%의 높은 재분화 효율을 나타내었고, MSD3 배지에서는 그 보다 낮은 61.1%의 효율을 나타내어 모든 배지에서 KN배지 보다 높게 나타났다. 제1엽에서도 SH 배지에서 85.0%로 가장 높게 나타났고, Kl 배지에서 80.7%, NB 배지에서 67.4%, MSD$_3$배지에서 61.0%의 효율을 나타내어 KN배지보다 모두 높게 나타났다. 따라서 본 실험의 결과 상추의 자엽과 제 1엽 절편체들로부터 효율적인 재분화는 정통포기 품종의 자엽을 K띠 배지에 배양했을 때 가장 효율적으로 나타났으며, 청치마 품종에서는 제 1엽을 SH 배지와 Kl 배지에 배양했을 때 재분화가 효율적인 것으로 나타났다.

Artificial neural network for predicting nuclear power plant dynamic behaviors

  • El-Sefy, M.;Yosri, A.;El-Dakhakhni, W.;Nagasaki, S.;Wiebe, L.
    • Nuclear Engineering and Technology
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    • 제53권10호
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    • pp.3275-3285
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    • 2021
  • A Nuclear Power Plant (NPP) is a complex dynamic system-of-systems with highly nonlinear behaviors. In order to control the plant operation under both normal and abnormal conditions, the different systems in NPPs (e.g., the reactor core components, primary and secondary coolant systems) are usually monitored continuously, resulting in very large amounts of data. This situation makes it possible to integrate relevant qualitative and quantitative knowledge with artificial intelligence techniques to provide faster and more accurate behavior predictions, leading to more rapid decisions, based on actual NPP operation data. Data-driven models (DDM) rely on artificial intelligence to learn autonomously based on patterns in data, and they represent alternatives to physics-based models that typically require significant computational resources and might not fully represent the actual operation conditions of an NPP. In this study, a feed-forward backpropagation artificial neural network (ANN) model was trained to simulate the interaction between the reactor core and the primary and secondary coolant systems in a pressurized water reactor. The transients used for model training included perturbations in reactivity, steam valve coefficient, reactor core inlet temperature, and steam generator inlet temperature. Uncertainties of the plant physical parameters and operating conditions were also incorporated in these transients. Eight training functions were adopted during the training stage to develop the most efficient network. The developed ANN model predictions were subsequently tested successfully considering different new transients. Overall, through prompt prediction of NPP behavior under different transients, the study aims at demonstrating the potential of artificial intelligence to empower rapid emergency response planning and risk mitigation strategies.

국내 플랜트 엔지니어링 산업의 기계공학 분야 기술인력 수급을 위한 대학교육 개선에 관한 연구 (Improvement of University Education to Supply Technical Manpower for Plant Engineering Industry in Mechanical Engineering Field)

  • 심현선;김영일;정광섭
    • 설비공학논문집
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    • 제23권11호
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    • pp.741-746
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    • 2011
  • In this study, improvements of university education are suggested so that university graduates can work in plant engineering industry without major retraining which is required in plant engineering companies. Before disposition of manpower to the plant engineering site, new recruits are retrained by the company for about 2~3 years, since university education is not sufficient and appropriate to handle plant engineering tasks. It is urgent to integrate into university education practical plant engineering that can be used effectively after graduation. In case of S2 University located in Seoul, it is enough to supplement interdisciplinary program to plant engineering subjects if proper texts are developed. To replace plant engineering education offered by the company with the university education, following measures should be taken. First, basic plant engineering should be taught for 15 hours. Second, education on design and drawings should be reinforced.

Expression of Dengue virus EIII domain-coding gene in maize as an edible vaccine candidate

  • Kim, Hyun A;Kwon, Suk Yoon;Yang, Moon Sik;Choi, Pil Son
    • Journal of Plant Biotechnology
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    • 제41권1호
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    • pp.50-55
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    • 2014
  • Plant-based vaccines possess some advantages over other types of vaccine biotechnology such as safety, low cost of mass vaccination programs, and wider use of vaccines for medicine. This study was undertaken to develop the transgenic maize as edible vaccine candidates for humans. The immature embryos of HiII genotype were inoculated with A. tumefaciens strain C58C1 containing the binary vectors (V662 or V663). The vectors carrying nptII gene as selection marker and scEDIII (V662) or wCTB-scEDIII (V663) target gene, which code EIII proteins inhibite viral adsorption by cells. In total, 721 maize immature embryos were transformed and twenty-two putative transgenic plants were regenerated after 12 weeks selection regime. Of them, two- and six-plants were proved to be integrated with scEDIII and wCTB-scEDIII genes, respectively, by Southern blot analysis. However, only one plant (V662-29-3864) can express the gene of interest confirmed by Northern blot analysis. These results demonstrated that this plant could be used as a candidated source of the vaccine production.