• 제목/요약/키워드: Real-time control and monitoring

검색결과 961건 처리시간 0.031초

초고속 통신망을 이용한 CSCW 기반 CALS 시스템 개발

  • 배재호;왕지남
    • 정보처리학회지
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    • 제5권1호
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    • pp.62-74
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    • 1998
  • This paper deals with developing a remote & real-time Computer-Aided Logistics Support (CALS) Systems through Information Super-Highway. A prototype of CALS is designed and implemented considering the environment of Information Super Highway. The concept of CSCW based virtual enterprise is discussed in con-nection with the four different activities. development of remote & virtual equipment controller remote-monitoring & inspection real time tracking of logistics information and web-based bidding and delivery system. A real implemented system is demonstrated under the Infor-mation Super-Highway with the corresponding software and hardware configuration.

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디지탈 신호처리에 의한 실시간 태아 심전도 감시 시스템에 관한 연구 I (Real Time FECG Monitoring System Using Digital Signal Process)

  • 김남현;유선국;이건기;윤대희;김원기;박상희
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국내학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
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    • pp.722-724
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    • 1988
  • In this study, 8 ch. FECG signal storage system with general cassette recorder and amplifier is developed, and simulated LMS algorithm. In future we construct real time FECG monitor system that is used digital signal processor.

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발사관제시스템 프로토타입 성능 분석 (LCS(Launch Control System) Prototype Performance Analysis)

  • 홍일희;김양모
    • 시스템엔지니어링학술지
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    • 제2권1호
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    • pp.54-60
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    • 2006
  • LCC(Launch Control Center) in NARO space center performs a data monitoring and control through the interface to the external system of launch vehicle. Launch control function needs high reliability and processing speed. Hence, LCS(Launch Control System) is made up a real time system. An important role of the LCS Prototype is discovering a risk element and minimizing it through developing a launch control system. This paper deals with a real time data processing among the simulator, gateway, data distribution server, command and control server which is involving LCS Prototype.

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철도 안전관제 통합콘솔에서의 실시간 감시 및 통제를 위한 DDS 적용방안 연구 (A Study on DDS (Data Distribution Service) Application for Real-time Monitoring and Control in Operation Console of the Railway Safety Control Platform)

  • 소재걸;신광호;안진
    • 한국도시철도학회논문집
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    • 제6권4호
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    • pp.279-286
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    • 2018
  • 최근 열차운행의 안전을 실시간으로 감시하고 통제를 통해 사고 및 위험을 예방하는 안전관제 플랫폼의 연구가 진행 중에 있다. 초기 설계에서 기존 분산된 안전 데이터의 통합에 따른 대용량 데이터의 실시간 처리를 위하여 분산 네트워크를 지원하는 DDS통신 방식을 채택하였으나, 안전관제 플랫폼 내부의 서버와 콘솔 간 통신은 기존의 TCP소켓통신을 그대로 적용하였다. TCP소켓통신의 경우 1대1 통신으로 안전관제 테스트베드의 소규모 시스템을 위한 데이터 처리는 가능하지만, 추후 전국으로 확대되면 방대한 데이터로 인해 통신 트래픽이 발생하는 경우 대처가 어렵게 된다. 본 논문에서는 안전관제 플랫폼의 서버와 콘솔 간 인터페이스 방식을 분산네트워크를 지원하는 DDS통신으로 제안하였으며, TCP소켓방식과 DDS방식의 데모를 구현하고 처리량 및 속도 비교 분석을 수행하였다. 그 결과, DDS통신을 적용하는 경우 향후 변경될 수 있는 시스템에 대비하여 확장성과 유연성이 개선된다는 사실을 도출하였다.

Serially Correlated Process Monitoring Using Forward and Backward Prediction Errors from Linear Prediction Lattice Filter

  • Choi, Sungwoon;Lee, Sanghoon
    • 품질경영학회지
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    • 제26권4호
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    • pp.143-150
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    • 1998
  • We propose an adaptive monitoring a, pp.oach for serially correlated data. This algorithm uses the adaptive linear prediction lattice filter (ALPLF) which makes it compute process parameters in real time and recursively update their estimates. It involves computation of the forward and backward prediction errors. CUSUM control charts are a, pp.ied to prediction errors simulaneously in both directions as an omnibus method for detecting changes in process parameters. Results of computer simulations demonstrate that the proposed adaptive monitoring a, pp.oach has great potentials for real-time industrial a, pp.ications, which vary frequently in their control environment.

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CCD 카메라와 수위계를 조합한 철도교량 실시간 홍수위 감시시스템 개발 (Development of Realtime Flood Monitoring System composed of CCD Camera and Water Level Gauge)

  • 박영곤;윤희택;김선종;신민호;정승용
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2004년도 춘계학술대회 논문집
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    • pp.224-228
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    • 2004
  • In these days, as it frequently happens that water level in the river exceeds the design floods due to irregular heavy rainfall, so it is required, first of an, to manage with railroad bridge safely. Because train control criterion under heavy rainfall is still not prepared and automatic flood monitoring system for railroad bridges is not used, worry over invisible economic loss due to train passage delay is in existence. Therefore, it is important to secure the safety and detect the risk like turnover or failure of railroad bridges through systematic disaster prevention system. And the transition from conventional monitoring method to real time monitoring method supported by sensors and communication system with high technology is rapidly needed. This research is on developing the real time flood monitoring system which prevents railroad disasters in advance by detecting continuously the water level of railroad bridge through CCD camera and water level gauge.

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실시간 공정 모니터링을 통한 제품 품질 예측 모델 개발 (A Product Quality Prediction Model Using Real-Time Process Monitoring in Manufacturing Supply Chain)

  • 오영광;박해승;유아름;김남훈;김영학;김동철;최진욱;윤성호;양희종
    • 대한산업공학회지
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    • 제39권4호
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    • pp.271-277
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    • 2013
  • In spite of the emphasis on quality control in auto-industry, most of subcontract enterprises still lack a systematic in-process quality monitoring system for predicting the product/part quality for their customers. While their manufacturing processes have been getting automated and computer-controlled ever, there still exist many uncertain parameters and the process controls still rely on empirical works by a few skilled operators and quality experts. In this paper, a real-time product quality monitoring system for auto-manufacturing industry is presented to provide the systematic method of predicting product qualities from real-time production data. The proposed framework consists of a product quality ontology model for complex manufacturing supply chain environments, and a real-time quality prediction tool using support vector machine algorithm that enables the quality monitoring system to classify the product quality patterns from the in-process production data. A door trim production example is illustrated to verify the proposed quality prediction model.

고속 주축의 상태모니터링 및 제어 알고리즘 설계 (Design of High Speed Spindles Active Monitoring and Control Algorithm)

  • 최현진;박철우;배정섭;안정훈;최성대
    • 한국기계가공학회지
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    • 제10권5호
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    • pp.13-19
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    • 2011
  • In this paper, the active monitoring and control system is developed. This system can monitor the status of high the speed spindle in real time during its processing, and can analyze its influence of dimensional accuracy and processing if any, and can control the machining condition to realize the machining system equipped with active monitoring and self-diagnostic features. Machining experiment was performed on 3 materials Al, Brass and S45C in order to derive the relation between active monitoring and control algorithm by the machining load. In addition, we measured surface roughness of processing specimen along with the data change of spindle rotating speed and conveying speed according to variation of machining load. Based on these experiments, we derived relations for each material that can be applied to the control algorithm to allow self control of the rotating speed and conveying speed according to the machining load.

브레이크 챔버의 실시간 모니터링 시스템에 적용되는 센서 컨트롤 박스의 진동 해석에 관한 연구 (Vibration Analysis of the Sensor Control Box Applied to a Commercial Brake Chamber Real-time Monitoring System)

  • 황택주;점경민;명순식;박현범
    • 항공우주시스템공학회지
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    • 제18권3호
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    • pp.65-69
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    • 2024
  • 본 연구에서는 대형상용차 및 트레일러에 적용되는 브레이크 챔버의 압력을 실시간으로 모니터링하는 핵심부품인 센서 컨트롤 박스에 대하여 전산해석 프로그램인 ANSYS Workbench R2021 [7]을 활용하여 진동시험 규격인 KS R1034의 시험 조건을 기초로 고유진동수 및 진동에 의한 구조적 안전성을 분석하였다. 모달 해석을 통해 5Hz ~ 100Hz 주파수 영역에서 공진점을 검출하였고, 조화해석을 통해 33Hz ~ 67 Hz의 결과값을 비교하였다.

배치 공정의 온라인 모니터링을 위한 다변량 관리도 (Multivariate SPC Charts for On-line Monitoring the Batch Processes)

  • 이배진;강창욱
    • 한국산업경영시스템학회:학술대회논문집
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    • 한국산업경영시스템학회 2002년도 춘계학술대회
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    • pp.387-396
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    • 2002
  • Batch processes are a significant class of processes in the process industry and play an important role in the production of high quality speciality materials. Examples include the production of semiconductors, chemicals, pharmaceuticals, and biochemicals. With on-line sensors connected to most batch processes, massive amounts of data are being collected routinely during the batch on easily measured process variables such as temperatures, pressures, and flowrates. In this paper, multivariate SPC charts for on-line monitoring of the progress of new batches are developed which utilize the information in the on-line measurements in real-time. We propose the formation of statistical model which describes the normal operation of a batch at each time interval during the batch operation. An on-line monitoring scheme based on the proposed method can handle both cross-correlation among process variables at any one time and auto-correlation over time. And the control limits for the monitoring charts are established from sound statistical framework unlike previous researches which use the external reference distribution. The proposed charts perform real-time, on-line monitoring to ensure that the batch is progressing in a manner that will lead to a high-quality product or to detect and indicate faults that can be corrected prior to completion of the batch. This approach is capable of tracking the progress of new batch runs, identifying the time periods in which the fault occurred and detecting underlying cause.

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