• Title/Summary/Keyword: 고장 복구

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Techniques for Searching Isolated Pipe Sections in Water Pipe Networks (상수도 관망의 고립구역 탐색 기법)

  • Park, Su wan;Kim, Ki Min
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.131-131
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    • 2017
  • 상수관의 노후화로 인해 상수관망의 안정성 확보와 지속적인 용수공급에 대한 신뢰성을 증대시키는 것이 중요해지고 있다. 용수공급시스템을 구성하는 상수관의 파괴가 빈번하게 발생하며, 관 파괴 시에 수리, 교체를 위해서 관망의 일부분은 차폐가 되어 해당 지역의 용수 수요자는 수리, 교체작업이 끝날 때까지 단수가 불가피하다. 이런 불편함과 손실을 최소화하기 위한 방법을 찾는 것은 상수관망의 유지관리에서 중요한 문제이다. 상수관망의 부분적 격리는 오염물에 의한 상수관망의 오염, 테러로 인한 독극물의 유입 시 물질의 확산 방지, 상수관망을 이루는 각종 구조물의 고장수리 및 유지 보수 작업 등의 상황을 위해 필수적이다. 상수관망의 부분적 격리를 분석하기 위해서는 '고립구역'이라는 개념이 필요하다. 관 파괴시 밸브가 닫히면서 해당 관과 연결된 관들 또한 함께 격리되는 부분을 '고립구역'으로 정의한다. 관이 두 개의 밸브를 양 끝에 가지고 있는 경우와 독립적인 절점 또한 하나의 '고립구역'으로 정의할 수 있다. 본 연구에서는 이러한 '고립구역'을 실제 상수관망에서 탐색해서 정의할 수 있는 알고리즘을 제시하였다. 뿐만아니라 상수관 파괴 시 복구를 위해 파괴된 관을 포함한 고립구역이 차폐될 경우, 세그먼트내의 관들은 수원지로부터의 물공급에 차질이 생길 수 있다. 특정 관들의 고립구역이 수원지로부터 유일한 용수공급경로일 경우 고립구역의 차폐로 인해 해당 관들의 용수공급도 끊어지게 되는데 이러한 영역을 '비의도적 고립구간'이라 한다. 본 연구에서는 이러한 '비의도적 고립구간'을 실제 상수관망에서 탐색하여 정의할 수 있는 알고리즘을 제시하였다.

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Data Acquisition System Applying TMO for GIS Preventive Diagnostic System (GIS 예방진단시스템을 위한 TMO 응용 데이터 수집 시스템)

  • Kim, Tae-Wan;Kim, Yun-Gwan;Jang, Cheon-Hyeon
    • The KIPS Transactions:PartA
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    • v.16A no.6
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    • pp.481-488
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    • 2009
  • GIS is used to isolate large power electrical equipment using SF6 gas. While GIS has simple structure, it has few break down, relatively high reliability. But it is hard to check up faults for reason of pressure. Faults of GIS should have a ripple effect on community and be hard to recovery. Consequently, GIS imports a preventive diagnostic system to find internal faults in advance. It is most important that reliability on the GIS preventive diagnostic system, because it estimates abnormality of system by analysis result of collected data. But, exist system which used central data management is low efficiency, and hard to guarantee timeliness and accuracy of data. To guarantee timeliness and accuracy, the GIS preventive diagnostic system needs accordingly to use a real-time middleware. So, in this paper, to improve reliability of the GIS preventive diagnostic system, we use a middleware based on TMO for guaranteeing timeliness of real-time distributed computing. And we propose an improved GIS preventive diagnostic system applying data acquisition, monitoring and control methods based on the TMO model. The presented system uses the Communication Control Unit(CCU) for distributed data handling which is supported by TMO. CCU can improve performance of the GIS preventive diagnostic system by guaranteeing timeliness of data handling process and increasing reliability of data through the TMO middleware. And, it has designed to take full charge of overload on a data acquisition task had been processed in an exist server. So, it could reduce overload of the server and apply distribution environment from now. Therefore, the proposed system can improve performance and reliability of the GIS preventive diagnostic system and contribute to stable operation of GIS.

Study on Development of HDD Integrity Verification System using FirmOS (FirmOS를 이용한 HDD 무결성 검사 시스템 개발에 관한 연구)

  • Yeom, Jae-Hwan;Oh, Se-Jin;Roh, Duk-Gyoo;Jung, Dong-Kyu;Hwang, Ju-Yeon;Oh, Chungsik;Kim, Hyo-Ryoung;Shin, Jae-Sik
    • Journal of the Institute of Convergence Signal Processing
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    • v.18 no.2
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    • pp.55-61
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    • 2017
  • In radio astronomy, high-capacity HDDs are being used to save huge amounts of HDDs in order to record the observational data. For VLBI observations, observational speeds increase and huge amounts of observational data must be stored as they expand to broadband. As the HDD is frequently used, the number of failures occurred, and then it takes a lot of time to recover it. In addition, if a failed HDD is continuously used, observational data loss occurs. And it costs a lot of money to buy a new HDD. In this study, we developed the integrity verification system of the Serial ATA HDD using FirmOS. The FirmOS is an OS that has been developed to function exclusively for specific purposes on a system having a general server board and CPU. The developed system performs the process of writing and reading specific patterns of data in a physical area of the SATA HDD based on a FirmOS. In addition, we introduced a method to investigate the integrity of HDD integrity by comparing it with the stored pattern data from the HDD controller. Using the developed system, it was easy to determine whether the disk pack used in VLBI observations has error or not, and it is very useful to improve the observation efficiency. This paper introduces the detail for the design, configuration, testing, etc. of the SATA HDD integrity verification system developed.

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A Study on the Design of Supervised and Unsupervised Learning Models for Fault and Anomaly Detection in Manufacturing Facilities (제조 설비 이상탐지를 위한 지도학습 및 비지도학습 모델 설계에 관한 연구)

  • Oh, Min-Ji;Choi, Eun-Seon;Roh, Kyung-Woo;Kim, Jae-Sung;Cho, Wan-Sup
    • The Journal of Bigdata
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    • v.6 no.1
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    • pp.23-35
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    • 2021
  • In the era of the 4th industrial revolution, smart factories have received great attention, where production and manufacturing technology and ICT converge. With the development of IoT technology and big data, automation of production systems has become possible. In the advanced manufacturing industry, production systems are subject to unscheduled performance degradation and downtime, and there is a demand to reduce safety risks by detecting and reparing potential errors as soon as possible. This study designs a model based on supervised and unsupervised learning for detecting anomalies. The accuracy of XGBoost, LightGBM, and CNN models was compared as a supervised learning analysis method. Through the evaluation index based on the confusion matrix, it was confirmed that LightGBM is most predictive (97%). In addition, as an unsupervised learning analysis method, MD, AE, and LSTM-AE models were constructed. Comparing three unsupervised learning analysis methods, the LSTM-AE model detected 75% of anomalies and showed the best performance. This study aims to contribute to the advancement of the smart factory by combining supervised and unsupervised learning techniques to accurately diagnose equipment failures and predict when abnormal situations occur, thereby laying the foundation for preemptive responses to abnormal situations. do.

A Study on the Improvement of Operation Performance of Wet Bell Diving System in the Salvage Ship (고장 사례 분석을 통한 수중함용 디젤엔진 건전성에 관한 연구)

  • Choi, Woo-Suk;Min, Tae-Kyu;Kim, Byeong-Ho;Chang, Ho-Seong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.98-106
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    • 2020
  • This study examined the integrity of diesel engines for underwater vessels through failure analysis, analyzed the causes of abnormal diesel engine stoppage during building and examined the integrity of secondary damages. The diesel engine stoppage was analyzed by checking the temperature change of the piston before and after the abnormality and checking the damage. In addition, in order to analyze the secondary damage caused by the explosion, the tensile and compressive stresses transmitted to the crankshaft, the core part of the diesel engine, were calculated, and the stress distribution was examined through finite element analysis, but the crankshaft was designed by safety. It was confirmed that there was no damage to the crankcase even when the diesel engine was taken out of the ship and closely inspected. The integrity of the crank shaft was verified in advance for the occurrence of diesel engine emergency shutdown accidents through this research result. Therefore, the inspection and restoration were carried out to the minimum extent, and the quality of diesel engines was secured. This study is expected to be used as a reference for ensuring soundness in any future review of diesel engine quality problems.

Analysis of GEO Satellite Sun Sensor Models and Sun Sensor SW Resource Processing Technology (정지궤도위성 자세제어계 태양센서 운용기술 동향)

  • Park, Keun-Joo;Park, Young-Woong;Yang, Koon-Ho
    • Current Industrial and Technological Trends in Aerospace
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    • v.7 no.2
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    • pp.121-130
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    • 2009
  • In this paper, the attitude and orbit control subsystem technology of new GEO communication and observation satellite using Sun sensors are introduced and analyzed. COMS is new GEO communication and Earth observation satellite based on EUROSTAR 3000 space bus technology. The attitude and orbit control subsystem of COMS adopts a configuration using three BASS and three LIASS Sun sensors to acquire the attitude error information in the specific reference frames. These Sun sensors are used to acquire Sun direction and to control the spacecraft to keep the relative attitude with respect to a reference Sun direction in both transfer and operational orbits. In this paper, the mathematical models of BASS and LIASS are described as well as their operational implementation in the flight software.

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PC Cluster Based Parallel Genetic Algorithm-Tabu Search for Service Restoration of Distribution Systems (PC 클러스터 기반 병렬 유전 알고리즘-타부 탐색을 이용한 배전계통 고장 복구)

  • Mun Kyeong-Jun;Lee Hwa-Seok;Park June Ho
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.8
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    • pp.375-387
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    • 2005
  • This paper presents an application of parallel Genetic Algorithm-Tabu Search (GA-TS) algorithm to search an optimal solution of a service restoration in distribution systems. The main objective of service restoration of distribution systems is, when a fault or overload occurs, to restore as much load as possible by transferring the do-energized load in the out of service area via network reconfiguration to the appropriate adjacent feeders at minimum operational cost without violating operating constraints, which is a combinatorial optimization problem. This problem has many constraints with many local minima to solve the optimal switch position. This paper develops parallel GA-TS algorithm for service restoration of distribution systems. In parallel GA-TS, GA operators are executed for each processor. To prevent solutions of low fitness from appearing in the next generation, strings below the average fitness are saved in the tabu list. If best fitness of the GA is not changed for several generations, TS operators are executed for the upper $10\%$ of the population to enhance the local searching capabilities. With migration operation, best string of each node is transferred to the neighboring node after predetermined iterations are executed. For parallel computing, we developed a PC cluster system consists of 8 PCs. Each PC employs the 2 GHz Pentium IV CPU and is connected with others through ethernet switch based fast ethernet. To show the validity of the proposed method, proposed algorithm has been tested with a practical distribution system in Korea. From the simulation results, we can find that the proposed algorithm is efficient for the distribution system service restoration in terms of the solution quality, speedup, efficiency and computation time.

Monitoring system for grain sorting using embedded Linux-based servers and Web applications (임베디드 리눅스 기반의 서버와 웹 어플리케이션을 이용한 곡물 선별 모니터링 시스템)

  • Park, Se-hyun;Geum, Young-wook;Kim, Hyun-jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.12
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    • pp.2341-2347
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    • 2016
  • In this paper, we implement monitoring system for grain sorting using a high-speed FPGA and embedded LINUX. The proposed system is designed by base on web server and web-based applications while existing system was designed by base on stand-alone mode.The interface the Web server with high speed hardware of FPGA is designed on the implemented monitoring system. The proposed system has the advantages of multi-tasking on Linux web server and real-time high speed on FPGA also. The control logic of a high speed rate line-scan CCD camera, the method of center of gravity, HSL decoding and the interface on the Web server are implemented in FPGA. The implemented monitoring system has the advantage of being able to control the grain monitoring, system failure and recovery remotely by web application. As a result, we can upgrade the performance of sorting quality compared by existing system.

Adaptive Upstream Backup Scheme based on Throughput Rate in Distributed Spatial Data Stream System (분산 공간 데이터 스트림 시스템에서 연산 처리율 기반의 적응적 업스트림 백업 기법)

  • Jeong, Weonil
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.10
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    • pp.5156-5161
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    • 2013
  • In distributed spatial data stream processing, processed tuples of downstream nodes are replicated to the upstream node in order to increase the utilization of distributed nodes and to recover the whole system for the case of system failure. However, while the data input rate increases and multiple downstream nodes share the operation result of the upstream node, the data which stores to output queues as a backup can be lost since the deletion operation delay may be occurred by the delay of the tuple processing of upstream node. In this paper, the adaptive upstream backup scheme based on operation throughput in distributed spatial data stream system is proposed. This method can cut down the average load rate of nodes by efficient spatial operation migration as it processes spatial temporal data stream, and it can minimize the data loss by fluid change of backup mode. The experiments show the proposed approach can prevent data loss and can decrease, on average, 20% of CPU utilization by node monitoring.

A Congestion release Advertisement Method to Improve the IEEE 802.17 Resilient Packet Ring (체증해제 통보에 방식에 의한 IEEE 802.17 레질런트 패킷 링의 성능개선 연구)

  • Kim Tae-joon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.9B
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    • pp.581-590
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    • 2005
  • The IEEE 802.17 Resilient Packet Ring Working Group develops standards to support the development and deployment of Resilient Packet Ring networks in Local, Metropolitan, and Wide Area Networks for resilient and efficient transfer of data Packets at rates scalable to many gigabits Per second. It was known that the fairness algorithm of the IEEE 802.17 Resilient Packet Ring suffers from throughput degradation under an unbalanced overload. This Paper proposes a congestion release advertisement method to improve this throughput degradation and discusses its performance. Under the proposed method, a congested node decides whether its congestion is released or not. If released, it advertises the congestion release to upstream nodes, and then upstream nodes transmit their traffic without uy regulation. The proposed method is compatible with the legacy fairness algorithm.