• Title/Summary/Keyword: Data leak

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Knowledge Modeling of Reliability Analysis and Safety Design for Offshore Safety Instrument System with MBSE (Model-Based Systems Engineering) (모델기반 시스템엔지니어링을 활용한 해양플랜트 안전시스템(SIS, Safety Instrumented System)의 신뢰도 분석 및 안전설계 지식 모델링)

  • Bae, Jeong-hoon;Jung, Min-jae;Shin, Sung-chul
    • Journal of the Society of Naval Architects of Korea
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    • v.55 no.3
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    • pp.222-235
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    • 2018
  • The hydrocarbon gas leak in the offshore plant can cause large accidents and lead to significant damages to human, property and environment. For prevention of fire or explosion accidents from gas leak, a SIS(Safety Instrumented System) should be installed. In the early stage of the offshore design, required SIL(Safety Integrated Level) is determined and reliability analysis is performed to verify the design in reliability aspects. This study collected data, information related to reliability analysis and created knowledge model of safety design for the offshore system with MBSE(Model-Based Systems Engineering) concept. Knowledge model could support safety engineer's design tasks as the guidance of reliability analysis procedure of safety design and make good conversation with other engineers in yard, class, company, etc.

Development of Risk Assessment Techniques for City Gas Pipeline II - Corrosion Analysis (도시가스배관 위험평가기술 개발 II - 부식 평가)

  • Park Kyo-Shik;Lee Jin-Han;Jo Young-Do;Park Jin-Hee
    • Journal of the Korean Institute of Gas
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    • v.7 no.2 s.19
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    • pp.1-6
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    • 2003
  • In this work, procedure evaluating failure modes such as pipe rupture, large scale leak, and small scale leak was suggested using equations to assess remaining strength by corrosion failure. Additionally, the method to predict probability of failure was suggested according to the aforementioned failure modes, and by combining data on corrosion rate, probability of long-term failure can be induced. This work will be very useful in predicting lifetime or exchanging period of pipeline.

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Signal processing method of bubble detection in sodium flow based on inverse Fourier transform to calculate energy ratio

  • Xu, Wei;Xu, Ke-Jun;Yu, Xin-Long;Huang, Ya;Wu, Wen-Kai
    • Nuclear Engineering and Technology
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    • v.53 no.9
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    • pp.3122-3125
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    • 2021
  • Electromagnetic vortex flowmeter is a new type of instrument for detecting leakage of steam generator, and the signal processing method based on the envelope to calculate energy ratio can effectively detect bubbles in sodium flow. The signal processing method is not affected by changes in the amplitude of the sensor output signal, which is caused by changes in magnetic field strength and other factors. However, the detection sensitivity of the electromagnetic vortex flowmeter is reduced. To this end, a signal processing method based on inverse Fourier transform to calculate energy ratio is proposed. According to the difference between the frequency band of the bubble noise signal and the flow signal, only the amplitude in the frequency band of the flow signal is retained in the frequency domain, and then the flow signal is obtained by the inverse Fourier transform method, thereby calculating the energy ratio. Using this method to process the experimental data, the results show that it can detect 0.1 g/s leak rate of water in the steam generator, and its performance is significantly better than that of the signal processing method based on the envelope to calculate energy ratio.

A Study on Object Detection using Restructured RetinaNet (재구조화된 RetinaNet을 활용한 객체 탐지에 관한 연구)

  • Kim, Jun Yeong;Jung, Se Hoon;Sim, Chun Bo
    • Journal of Korea Multimedia Society
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    • v.23 no.12
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    • pp.1531-1539
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    • 2020
  • Searching for portable baggage through the system before boarding an airplane at an airport is important because it prevents many risks. In addition to these dangerous items, personal and confidential information leaks are occurring at airports through data storage devices. In the airport search system, there is a need for a system that searches not only dangerous items but also devices that can leak data. In this paper, we proposed a model that searches for a data storage device by improving the existing model. A comparative evaluation was conducted using existing algorithms. As a result, it was confirmed that the performance of the proposed model is 74 in the training data and 46.73 in the test data, which is superior to the existing model.

LPG Cylinder Leak Experiment from Multiple Leak Scenarios (누출종류에 따른 LP가스용기 누출량 실증 실험)

  • Lee, Minkyung;Lee, Kang-Ok;Kim, Young Gyu
    • Journal of the Korean Institute of Gas
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    • v.23 no.6
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    • pp.61-66
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    • 2019
  • Unlike NG supplied through pipes, LPG is mainly used for independent storage of cylinders or small storage tanks. As LPG is widely used in islands and underdeveloped areas, accidents due to neglect of safety management are high. Houses and businesses that have LPG accidents are likely to be damaged due to relatively high population density. Therefore, the necessity of strengthening the safety management of LPG is constantly raised. Accordingly, in 1996, Korea Gas Safety Corporation conducted an LPG leak test. In this study, based on the 96-year experiment, the gas leakage measurement of LPG vessels was conducted by adding several conditions such as outside temperature and pipe condition. Through this, the trend of leakage for various scenarios of LPG leakage was examined. In the case of a gas leak, when the article which may affect the pressure such as a regulator is not connected, the leakage amount is greatly changed by the outside air temperature, and when the regulator is fastened, the influence of the outlet pressure is large. It is expected that the experiment can be used as basic data for determining gas accidents and leakages that may occur later.

Assessment of the Internal Pressure Fragility of the PWR Containment Building Using a Nonlinear Finite Element Analysis (비선형 유한요소 해석을 이용한 PWR 격납건물의 내압 취약도 평가)

  • Hahm, Daegi;Park, Hyung-Kui;Choi, In-Kil
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.27 no.2
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    • pp.103-111
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    • 2014
  • In this study, the probabilistic internal pressure fragility analysis was performed by using the non-linear finite element analysis method. The target structure is one of the containment buildings of typical domestic pressurized water reactors(PWRs). The 3-dimensional finite element model of the containment building was developed with considering the large equipment hatches. To consider uncertainties in the material properties and structural capacities, we performed the sensitivity analysis of the ultimate pressure capacity with respect to the variation of four important uncertain parameters. The results of the sensitivity analysis were used to the selection of the probabilistic variables and the determination of their probabilistic parameters. To reflect the present condition of the tendon pre-stressing force, the data of the pre-stressing force acquired from the in-service inspections of tendon forces were used for the determination of the median value. Two failure modes(leak, rupture) were considered and their limit states were defined to assess the internal pressure fragility of target containment building. The internal pressure fragilities for each failure mode were evaluated in terms of median internal pressure capacity, high confidence low probability of failure(HCLPF) capacity, and fragility curves with respect to the confidence levels. The HCLPF capacity was 115.9 psig for leak failure mode, and 125.0 psig for rupture failure mode.

Development of a Remote Central Monitoring System of Street Lights (가로등 원격감시 중앙관제시스템 개발)

  • Ha, Kwan-Yong;Kim, Hie-Sik
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.43-45
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    • 2004
  • A remote monitoring system was developed to improve inconveniences of manual work such as monitoring street lights by using current sensors, microprocessor and RF communication system. In order to control the street lights on the roads effectively and monitor them in real time, we can attach current sensor to the street lights which monitors Lamp, the broken part and state of the Balast, and the amount of an electric leak precisely we developed a system which makes it possible to transmit the data on monitoring results in breakdown of street lights and Balasts to the central monitoring computer without setting up extra data transmission line. The system we devised can transmit data through Power Line Modem and RF communication using relay method to the central controlling computer without any loss of data.

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Study on the Consequence Effect Analysis & Process Hazard Review at Gas Release from Hydrogen Fluoride Storage Tank (최근 불산 저장탱크에서의 가스 누출시 공정위험 및 결과영향 분석)

  • Ko, JaeSun
    • Journal of the Society of Disaster Information
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    • v.9 no.4
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    • pp.449-461
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    • 2013
  • As the hydrofluoric acid leak in Gumi-si, Gyeongsangbuk-do or hydrochloric acid leak in Ulsan, Gyeongsangnam-do demonstrated, chemical related accidents are mostly caused by large amounts of volatile toxic substances leaking due to the damages of storage tank or pipe lines of transporter. Safety assessment is the most important concern because such toxic material accidents cause human and material damages to the environment and atmosphere of the surrounding area. Therefore, in this study, a hydrofluoric acid leaked from a storage tank was selected as the study example to simulate the leaked substance diffusing into the atmosphere and result analysis was performed through the numerical Analysis and diffusion simulation of ALOHA(Areal Location of Hazardous Atmospheres). the results of a qualitative evaluation of HAZOP (Hazard Operability)was looked at to find that the flange leak, operation delay due to leakage of the valve and the hose, and toxic gas leak were danger factors. Possibility of fire from temperature, pressure and corrosion, nitrogen supply overpressure and toxic leak from internal corrosion of tank or pipe joints were also found to be high. ALOHA resulting effects were a little different depending on the input data of Dense Gas Model, however, the wind direction and speed, rather than atmospheric stability, played bigger role. Higher wind speed affected the diffusion of contaminant. In term of the diffusion concentration, both liquid and gas leaks resulted in almost the same $LC_{50}$ and ALOHA AEGL-3(Acute Exposure Guidline Level) values. Each scenarios showed almost identical results in ALOHA model. Therefore, a buffer distance of toxic gas can be determined by comparing the numerical analysis and the diffusion concentration to the IDLH(Immediately Dangerous to Life and Health). Such study will help perform the risk assessment of toxic leak more efficiently and be utilized in establishing community emergency response system properly.

A Study for Comparison of Consequence Analysis for Buried Pipeline Considering the Depth Factor (깊이 인자를 고려한 매설배관의 사고피해영향 비교 분석에 관한 연구)

  • Han, Seung-Hoon;Seol, Ji-Woo;Yoo, Byong-Tae;Tae, Chan-Ho;Ko, Jae Wook
    • Journal of the Korean Institute of Gas
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    • v.20 no.5
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    • pp.9-16
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    • 2016
  • Buried pipe system is subject to leak or rupture due to internal and external defects with age. Especially, if the pipeline is designed for pressurized gas, the leak can wreak a devastating on its surrounding area. The current method of setting up underground gas pipeline is based on OGP criteria of applying one tenth of the inner pipe pressure. The criteria is applied irrespective of their burial depth or pipe's properties. At times, even the whole safety measures are totally ignored. Considering the magnitude of possible damage from a gas leakage, a precise analytical tool for the risk assessment is urgently needed. The study was conducted to assess possible scenarios of gas accidents and to develop a computer model to minimize the damage. The data from ETA was analyzed intensively, and the model was developed. The model is capable of predicting jet fire influence area with comprehensive input parameters, such as burial depth. The model was calibrated and verified by the historic accident data from Edison Township, New Jersey, the United States. The statistical model was also developed to compare the results of the model in this study and the existing OGP model. They were in good agreement with respect to damage predictions, such as radiation heat coming from 10 meters away from the heat source of gas flame.

Machine Learning Based Automated Source, Sink Categorization for Hybrid Approach of Privacy Leak Detection (머신러닝 기반의 자동화된 소스 싱크 분류 및 하이브리드 분석을 통한 개인정보 유출 탐지 방법)

  • Shim, Hyunseok;Jung, Souhwan
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.4
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    • pp.657-667
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    • 2020
  • The Android framework allows apps to take full advantage of personal information through granting single permission, and does not determine whether the data being leaked is actual personal information. To solve these problems, we propose a tool with static/dynamic analysis. The tool analyzes the Source and Sink used by the target app, to provide users with information on what personal information it used. To achieve this, we extracted the Source and Sink through Control Flow Graph and make sure that it leaks the user's privacy when there is a Source-to-Sink flow. We also used the sensitive permission information provided by Google to obtain information from the sensitive API corresponding to Source and Sink. Finally, our dynamic analysis tool runs the app and hooks information from each sensitive API. In the hooked data, we got information about whether user's personal information is leaked through this app, and delivered to user. In this process, an automated Source/Sink classification model was applied to collect latest Source/Sink information, and the we categorized latest release version of Android(9.0) with 88.5% accuracy. We evaluated our tool on 2,802 APKs, and found 850 APKs that leak personal information.