• 제목/요약/키워드: On-line monitoring system

검색결과 762건 처리시간 0.026초

An Intelligent Human-Machine Interface for Next Generation Nuclear Power Plants

  • Park, Seong-Soo;Park, Jin-Kyun;Hong, Jin-Hyuk;Chang, Soon-Heung;Kim, Han-Gon
    • 한국원자력학회:학술대회논문집
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    • 한국원자력학회 1995년도 추계학술발표회논문집(1)
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    • pp.191-196
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    • 1995
  • The intelligent human-machine interface (HMI) has been developed to enhance the safety and availability of a nuclear power plant by improving operational reliability The key elements of the HMI are the large display panels which present synopsis of the plant status and the compact, digital work stations for the primary operator control and monitoring functions. The work station consists of four consoles such as a dynamic alarm console (DAC), a system information console (SIC), a computerized operating-procedure console (COC), and a safety related information console (SRIC). The DAC provides clean alarm pictures, in which information overlapping is excluded and alarm impacts are discriminated, for quick situation awareness. The SIC covers a normal operation by offering all necessary plant information and control functions. In addition, it is closely linked with the DAC and the COC to automatically display related system information under the request of these consoles. The COC aids the operator with proper emergency operation guidelines so as to shutdown the plant safely, and it also reduces his physical/mental burden by automating the operating procedures. The SRIC continuously displays safety related information to allow the operator to assess the plant status focusing on plant safety. The proposed HMI has been validated and demonstrated with on-line data obtained from the full-scope simulator for Yonggwang Units 1,2.

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A Toxicogenomic Study to Assess Methylmercury-induced Neurotoxicity

  • Kim, Youn-Jung;Yun, Hye-Jung;Ryu, Jae-Chun
    • 한국환경독성학회:학술대회논문집
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    • 한국환경독성학회 2003년도 추계국제학술대회
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    • pp.177-177
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    • 2003
  • Methylmercury (MeHg) is a well-known neurotoxicant that causes severe damage to the central nervous system in humans. Many reports have shown that MeHg is poisonous to human body through contaminated foods and has released into the environment. Despite many studies on the pathogenesis of MeHg-induced central neuropathy, no useful mechanism of toxicity has been established so far. In this study, suppressive subtractive hybridization (SSH) was performed to identify differentially expressed genes on human neuroblastoma cell line, SH-SY5Y treated with DMSO and MeHg (6.25 uM) for 6 hr. Differentially expressed cDNA clones were sequenced and were screened by dot blot to eliminate false positive clones. 13 of 35 screened genes were confirmed using real time RT-PCR. These genes include EB1,90-kDa heat-shock protein, chromosome condensation-related SMC-associated protein and brain peptide Al, etc. Analysis of these genes may provide an insight into the neurotoxic effects of MeHg in human neuronal cells and a possibility to develop more efficient and exact monitoring system of heavy metals as ubiquitous environmental pollutants.

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DGPS 기법을 이용한 자정식 현수교의 정동적 변위응답 측정 및 분석 (Application of Differential GPS for the Displacement Measurement of Self-anchored Suspension Bridge under the Static and Dynamic Loading Cases)

  • 김형태;서주원
    • 한국소음진동공학회논문집
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    • 제19권11호
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    • pp.1126-1132
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    • 2009
  • Bridge structures are designed to support ordinary loadings such as vehicles, wind, temperature and current as well as unexpected loadings like earthquakes and storm. Especially, the displacement of Flexible bridges like an suspension bridge under ordinary loading conditions is necessary to be monitored. In case of long span bridges, there are some difficulties in monitoring the displacement of center of the main span using traditional laser displacement sensors. In this study, the static and dynamic displacement responses due to vehicle loadings were measured by DGPS(differential global positioning system) technique. The displacement response data were compared with data obtained from traditional laser displacement sensors so that the static and dynamic behavior of the bridge under vehicle loadings was examined and the applicability of the displacement response measurement using DGPS technique was verified. The static and dynamic loading test for an self-anchored suspension bridge, So-rok Bridge, was performed using vehicles. The displacement response from DGPS technique and that from laser displacement sensors of the bridge monitoring system were compared. The amplitude of white noise from DGPS based measurement was about 7 mm and that of laser displacement sensor based measurement was about 3 mm. On the other hand, dynamic behavior of the center of main span from DGPS based measurement showed better agreement with influence line of the bridge than that from laser displacement sensors. In addition, there were some irregular and discontinuous variation of data due to the instability of GPS receivers or frequent appearance of GPS satellites. Post-processing via the reference station close to an observation post provided by NGII(National Geographic Information Institute) will be a counter-plan for these defects.

안정화된 광섬유 브래그 격자 센서 시스템을 이용한 실시간 충격위치검출에 관한 연구 (Real-time impact location monitoring using the stabilized Bragg grating sensor system)

  • 방형준;홍창선;김천곤
    • 한국항공우주학회지
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    • 제32권7호
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    • pp.37-42
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    • 2004
  • 본 논문에서는 실시간 충격위치 검출이 가능한 FBG 센서 시스템의 개발에 관하여 설명하였다. 충격위치 검출을 위해서는 동시 다정 신호취득이 가능한 초음파 센서 시스템이 요구된다. 본 연구에서는 23.80nm의 투과파장 간격을 갖는 가변 패브리-페로 복조화 장치를 사용하여 파장분할 다중화가 가능한 FBG 고주파 진동 센서시스템에 적용하였다. 또한 외부의 준정적 환경변화에 대해 FBG 센서의 민감도를 일정하게 유지시키기 위한 민감도 안정화 장치를 사용하였다. 저속충격 실험을 위한 알루미늄보 시편의 아랫면에는 두개의 FBG 센서를 부착하였으며 시편 표면의 세 지점에 대해 1 차원 충격위치 검출을 시도하였다. 실험결과 FBG 센서를 이용하여 저속충격 시점을 정확히 감지할 수 있었으며, 평균 오차 0.58mm 로 충격위치를 검출할 수 있음을 확인하였다.

Estimation of Water Quality of Fish Farms using Multivariate Statistical Analysis

  • Ceong, Hee-Taek;Kim, Hae-Ran
    • Journal of information and communication convergence engineering
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    • 제9권4호
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    • pp.475-482
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    • 2011
  • In this research, we have attempted to estimate the water quality of fish farms in terms of parameters such as water temperature, dissolved oxygen, pH, and salinity by employing observational data obtained from a coastal ocean observatory of a national institution located close to the fish farm. We requested and received marine data comprising nine factors including water temperature from Korea Hydrographic and Oceanographic Administration. For verifying our results, we also established an experimental fish farm in which we directly placed the sensor module of an optical mode, YSI-6920V2, used for self-cleaning inside fish tanks and used the data measured and recorded by a environment monitoring system that was communicating serially with the sensor module. We investigated the differences in water temperature and salinity among three areas - Goheung Balpo, Yeosu Odongdo, and the experimental fish farm, Keumho. Water temperature did not exhibit significant differences but there was a difference in salinity (significance <5%). Further, multiple regression analysis was performed to estimate the water quality of the fish farm at Keumho based on the data of Goheung Balpo. The water temperature and dissolved-oxygen estimations had multiple regression linear relationships with coefficients of determination of 98% and 89%, respectively. However, in the case of the pH and salinity estimated using the oceanic environment with nine factors, the adjusted coefficient of determination was very low at less than 10%, and it was therefore difficult to predict the values. We plotted the predicted and measured values by employing the estimated regression equation and found them to fit very well; the values were close to the regression line. We have demonstrated that if statistical model equations that fit well are used, the expense of fish-farm sensor and system installations, maintenances, and repairs, which is a major issue with existing environmental information monitoring systems of marine farming areas, can be reduced, thereby making it easier for fish farmers to monitor aquaculture and mariculture environments.

시뮬레이션 프로그램 기반 실시간 자동재난 및 안내방송시스템의 설계 (Design and Implementation of a Real-time Automatic Disaster and Information Broadcasting System)

  • 이병문;박정인;강운구
    • 디지털융복합연구
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    • 제10권7호
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    • pp.141-152
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    • 2012
  • 극장이나 대형 빌딩에서 현재 사용되고 있는 대표적인 화재감지기 기반의 피난 유도시스템은 대체적으로 아날로그 방식으로 운영되어 화재 발생 시 선로와 센서의 손실로 주 장치로 제대로 전달되지 않아서 정확한 발화위치 및 화재 진행위치를 알 수가 없다. 따라서 본 논문에서는 재난이 발생하였을 때 실시간으로 화재경보 사이렌과 상황에 맞는 최적의 피난유도 기능을 갖는 재난관리 안내방송 시스템을 제안하였다. 제안된 시스템의 유효성을 확인하기 위해 객체지향 기법으로 설계하여 재난안내시스템과 시뮬레이션프로그램을 구현하였다. 이 시스템은 실제 화재와 같은 비상상황이 발생할 경우 화재센서 네트워크를 통해서 건물 내의 LCD에 피난유도를 위한 정보(발생지점, 발생시간, 대피경로)를 출력하는 시뮬레이션프로그램과 연동하도록 구현하였다. 또한 이 시스템을 이용하여 화염연기 확산경로를 고려한 최적의 재난대피경로를 찾는 실험을 하였고 그 결과 제안한 시스템의 유효성을 확인할 수 있었다.

Multiple damage detection of maglev rail joints using time-frequency spectrogram and convolutional neural network

  • Wang, Su-Mei;Jiang, Gao-Feng;Ni, Yi-Qing;Lu, Yang;Lin, Guo-Bin;Pan, Hong-Liang;Xu, Jun-Qi;Hao, Shuo
    • Smart Structures and Systems
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    • 제29권4호
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    • pp.625-640
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    • 2022
  • Maglev rail joints are vital components serving as connections between the adjacent F-type rail sections in maglev guideway. Damage to maglev rail joints such as bolt looseness may result in rough suspension gap fluctuation, failure of suspension control, and even sudden clash between the electromagnets and F-type rail. The condition monitoring of maglev rail joints is therefore highly desirable to maintain safe operation of maglev. In this connection, an online damage detection approach based on three-dimensional (3D) convolutional neural network (CNN) and time-frequency characterization is developed for simultaneous detection of multiple damage of maglev rail joints in this paper. The training and testing data used for condition evaluation of maglev rail joints consist of two months of acceleration recordings, which were acquired in-situ from different rail joints by an integrated online monitoring system during a maglev train running on a test line. Short-time Fourier transform (STFT) method is applied to transform the raw monitoring data into time-frequency spectrograms (TFS). Three CNN architectures, i.e., small-sized CNN (S-CNN), middle-sized CNN (M-CNN), and large-sized CNN (L-CNN), are configured for trial calculation and the M-CNN model with excellent prediction accuracy and high computational efficiency is finally optioned for multiple damage detection of maglev rail joints. Results show that the rail joints in three different conditions (bolt-looseness-caused rail step, misalignment-caused lateral dislocation, and normal condition) are successfully identified by the proposed approach, even when using data collected from rail joints from which no data were used in the CNN training. The capability of the proposed method is further examined by using the data collected after the loosed bolts have been replaced. In addition, by comparison with the results of CNN using frequency spectrum and traditional neural network using TFS, the proposed TFS-CNN framework is proven more accurate and robust for multiple damage detection of maglev rail joints.

Systematic comparisons among OpenFAST, Charm3D-FAST simulations and DeepCWind model test for 5 MW OC4 semisubmersible offshore wind turbine

  • Jieyan Chen;Chungkuk Jin;Moo-Hyun Kim
    • Ocean Systems Engineering
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    • 제13권2호
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    • pp.173-193
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    • 2023
  • Reliable prediction of the motion of FOWT (floating offshore wind turbine) and associated mooring line tension is important in both design and operation/monitoring processes. In the present study, a 5MW OC4 semisubmersible wind turbine is numerically modeled, simulated, and analyzed by the open-source numerical tool, OpenFAST and in-house numerical tool, Charm3D-FAST. Another commercial-level program FASTv8-OrcaFlex is also introduced for comparison for selected cases. The three simulation programs solve the same turbine-floater-mooring coupled dynamics in time domain while there exist minor differences in the details of the program. Both the motions and mooring-line tensions are calculated and compared with the DeepCWind 1/50 scale model-testing results. The system identification between the numerical and physical models is checked through the static-offset test and free-decay test. Then the system motions and mooring tensions are systematically compared among the simulated results and measured values. Reasonably good agreements between the simulation and measurement are demonstrated for (i) white-noise random waves, (ii) typical random waves, and (iii) typical random waves with steady wind. Based on the comparison between numerical results and experimental data, the relative importance and role of the differences in the numerical methodologies of those three programs can be observed and interpreted. These comparative-study results may provide a certain confidence level and some insight of potential variability in motion and tension predictions for future FOWT designs and applications.

사이버가정학습 활성화 방안 -제주 e-study 2.0을 중심으로- (Revitalization for a Cyber Home Learning System -Focused on Jeju e-study 2.0-)

  • 김은길;강남철;김종훈
    • 한국콘텐츠학회논문지
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    • 제10권8호
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    • pp.451-460
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    • 2010
  • 본 논문은 웹 2.0의 등장에 발맞추어 사용자의 데이터 생산과 공유가 확대되면서 참여 중심의 인터넷 환경이 구축됨에 따라 새롭게 도입된 사이버가정학습 2.0의 효과적인 운영방안을 제시하는데 목적이 있다. 이를 위해 웹 2.0의 문헌연구, 사이버가정학습 운영 사례, 전문가 컨설팅 및 성능 테스트를 바탕으로 연구하였다. 연구 결과 오프라인의 학교 교육과 연계하여 화상 상담, 웹기반 토론 도구를 이용한 온라인 교육이 이루어질 때 교육적 효과가 증대되며, 시스템 구성 역시 이중화하여 분산 처리함으로써 원활한 서비스가 제공될 수 있었다. 또한 발전적인 서비스 제공을 위해서는 학생, 학부모, 교사 등으로 구성된 모니터링단 운영이 요구되었다.

숲길에서의 Barrier-Free 인증제도 개발에 관한 연구 (Development of Certification Program for Barrier-Free in Forest Trail)

  • 권형근;최윤호;김명준;염인환;이준우
    • 농업과학연구
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    • 제37권1호
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    • pp.37-43
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    • 2010
  • This study carried out to develop barrier-free certification program in forest trail. It is done to provide the certification system presented about certification organized, certification standard and indexes, evaluation method and operation plan. In order to develop certification program in forest trail, detailed measurement index must be developed earlier based on an accessbility, a stability, a preservation and a walking continuity. The suitable forest trail for weak pedestrian was investigated that running slope should be 1/20(5%) maximum, cross slope cannot exceed 1/50(2%) maximum and clear tread width should be above of minimum 90cm. In addition, the trail type is designed as a mixed trail system which is a combination of the loop and the line form and its distance should be 225~675m. Finally, forest trail should be manage sustainably by having regular monitoring and evaluation.