• Title, Summary, Keyword: 분산형 조기경보

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Earthquake Monitoring : Future Strategy (지진관측 : 미래 발전 전략)

  • Chi, Heon-Cheol;Park, Jung-Ho;Kim, Geun-Young;Shin, Jin-Soo;Shin, In-Cheul;Lim, In-Seub;Jeong, Byung-Sun;Sheen, Dong-Hoon
    • Geophysics and Geophysical Exploration
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    • v.13 no.3
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    • pp.268-276
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    • 2010
  • Earthquake Hazard Mitigation Law was activated into force on March 2009. By the law, the obligation to monitor the effect of earthquake on the facilities was extended to many organizations such as gas company and local governments. Based on the estimation of National Emergency Management Agency (NEMA), the number of free-surface acceleration stations would be expanded to more than 400. The advent of internet protocol and the more simplified operation have allowed the quick and easy installation of seismic stations. In addition, the dynamic range of seismic instruments has been continuously improved enough to evaluate damage intensity and to alert alarm directly for earthquake hazard mitigation. For direct visualization of damage intensity and area, Real Time Intensity COlor Mapping (RTICOM) is explained in detail. RTICOM would be used to retrieve the essential information for damage evaluation, Peak Ground Acceleration (PGA). Destructive earthquake damage is usually due to surface waves which just follow S wave. The peak amplitude of surface wave would be pre-estimated from the amplitude and frequency content of first arrival P wave. Earthquake Early Warning (EEW) system is conventionally defined to estimate local magnitude from P wave. The status of EEW is reviewed and the application of EEW to Odesan earthquake is exampled with ShakeMap in order to make clear its appearance. In the sense of rapidity, the earthquake announcement of Korea Meteorological Agency (KMA) might be dramatically improved by the adaption of EEW. In order to realize hazard mitigation, EEW should be applied to the local crucial facilities such as nuclear power plants and fragile semi-conduct plant. The distributed EEW is introduced with the application example of Uljin earthquake. Not only Nation-wide but also locally distributed EEW applications, all relevant information is needed to be shared in real time. The plan of extension of Korea Integrated Seismic System (KISS) is briefly explained in order to future cooperation of data sharing and utilization.

A novel technology of Establishing Intelligent Power Information System based on Multi-Agent (멀티에이전트 기반의 지능형 전력 정보시스템 구축 기술)

  • Kim, Ji-Young;Kim, Sang-Tae;Yu, Nam-Cheol;Lee, Dong-Cheol
    • Proceedings of the Korean Information Science Society Conference
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    • pp.307-312
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    • 2008
  • 최근 전기 전력 도메인의 IT화 (전력 IT) 가 본격적으로 진행되면서 전기 데이터를 취득하기 위한 기기들 뿐만 아니라 전력 운영 환경이 변화를 도모하고 있다 본 논문에서는 이런 전력 IT 의 일환으로 개발된 지능형 전력 정보 모니터링 시스템 (K-WAMS)을 소개하고자 한다. 이 시스템은 이기종 분산 환경에서 전력 정보를 실시간으로 전송 받아 현재 전력계통의 상황을 직관적으로 판단할 수 있는 정보를 제공하여 광역 정전을 예방하고자 하는 조기경보시스템 (Early Warning System) 이다. 또한, 전력계통의 안정성 여부를 판단하는 지능형 에이전트의 구현을 통해 광역 정전을 예견하는 지수를 제공하고, 실시간 데이터 처리 및 이력 데이터 저장 에이전트들을 통해 현재 취득되고 있는 현장 데이터 모니터링 기능을 제공한다. K-WAMS 는 실시간으로 전송 처리되는 고속 대용량 데이터들의 처리 지연, 동적 환경으로 인한 네트워크의 부하문제를 해결하기 위해서 IPC Shared Memory 기법을 이용하였고, 동적 프로세스들의 작업 스케줄링을 관리하기 위한 IPC Message Queue 기법을 이용하였다. 또한 논리적 기능 기반으로 설계된 현재 중앙 급전소(GCC) 단위의 설계 모델은 향후 지역 급전소(RCC) 단위로 설치 될 경우 재사용 되어 개발 생산성을 향상시킬 것으로 예상된다.

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Speed-up Techniques for High-Resolution Grid Data Processing in the Early Warning System for Agrometeorological Disaster (농업기상재해 조기경보시스템에서의 고해상도 격자형 자료의 처리 속도 향상 기법)

  • Park, J.H.;Shin, Y.S.;Kim, S.K.;Kang, W.S.;Han, Y.K.;Kim, J.H.;Kim, D.J.;Kim, S.O.;Shim, K.M.;Park, E.W.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.19 no.3
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    • pp.153-163
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    • 2017
  • The objective of this study is to enhance the model's speed of estimating weather variables (e.g., minimum/maximum temperature, sunshine hour, PRISM (Parameter-elevation Regression on Independent Slopes Model) based precipitation), which are applied to the Agrometeorological Early Warning System (http://www.agmet.kr). The current process of weather estimation is operated on high-performance multi-core CPUs that have 8 physical cores and 16 logical threads. Nonetheless, the server is not even dedicated to the handling of a single county, indicating that very high overhead is involved in calculating the 10 counties of the Seomjin River Basin. In order to reduce such overhead, several cache and parallelization techniques were used to measure the performance and to check the applicability. Results are as follows: (1) for simple calculations such as Growing Degree Days accumulation, the time required for Input and Output (I/O) is significantly greater than that for calculation, suggesting the need of a technique which reduces disk I/O bottlenecks; (2) when there are many I/O, it is advantageous to distribute them on several servers. However, each server must have a cache for input data so that it does not compete for the same resource; and (3) GPU-based parallel processing method is most suitable for models such as PRISM with large computation loads.