• Title/Summary/Keyword: 위험도기반 검사

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Development of a Risk Management Information System(RMIS) for the LPG refueling station by utilizing GIS (지리정보시스템(GIS)을 이용한 LPG 충전소 위험관리정보시스템 개발에 관한 연구)

  • Ham, Eun-Gu;Roh, Sam-Kew
    • 한국가스학회:학술대회논문집
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    • 2007.04a
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    • pp.195-200
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    • 2007
  • 본 연구는 도심지에 위치한 LPG 충전소를 연구범위로 하여 공간정보의 활용이 가장 많이 요구되는 안전관리 분야의 업무를 중심으로 공간정보를 효율적으로 구축 활용하기 위하여 데이터베이스를 중심으로 위험관리정보 시스템을 개발하였다. 이를 바탕으로 정량적 위험성 평가의 자동화를 통해 나타난 위험성을 실시간에 제어하기 위한 필요조건을 표준화하여 기초 정보자료로 구축, 이를 지리정보기능과 연동하여 LPG 충전소의 안전검사의 효율화, 사전 위험성 평가, 사고대응 판단의 효과적인 의사결정을 유도 할 수 있는 기반을 제공한다. 위험관리정보시스템(RMIS, Risk Management Information System) 개발절차는 다음과 같다 첫째, 도심지에 위치한 LPG 충전소 위험성 평가를 수행함에 있어서 기본적인 데이터인 부지내(On-site) 관련 자료와 부지 외(Off-site) 관련 자료를 관계형 데이터베이스(RDB, Relational Database)로 개발하였다. 둘째, Visual Basic을 이용하여 사용자가 효과적으로 위험을 관리 제어 할 수 있는 위험관리 통합 데이터베이스 시스템 개발하였다. 셋째, 위험관리 통합 데이터베이스 시스템과 지리정보시스템에 연동을 통한 의사결정 방안 제시하였다. 위험관리정보시스템(RMIS) 프로그램을 개발을 통하여 다음과 같은 결과를 도출하였다. 첫째, 위험관리 데이터 이용하여 사용자와 검사자가 효과적으로 위험을 사전관리 할 수 있는 공유정보를 구축하였다. 둘째, 위험 관리를 부지 내와 부지 외로 나누어 관리함으로서 시설 내부 뿐 만 아니라 시설외부에 미치는 영향을 모두 고려하여 구축하므로 서, 중대사고에 대응 할 수 있는 종합적인 안전관리 기반을 조성하였다. 셋째, 사용자 인터페이스를 바탕으로 비상사태 발생시에 신속하고 정확한 의사결정을 할 수 있는 기반을 조성하였다. 제공하여 응용GIS 구축의 생산성 및 품질 향상에 기여할 뿐만 아니라 우리의 최종목표인 GIS 소프트웨어 자동 생산에도 크게 기여할 것으로 사료된다. 등)을 교통망상에 표시할 수 있음으로서 의사결정에 보다 많은 도움을 줄 수 있을 것이다. 비트율의 증가와 화질 열화는 각각 최대 1.32%와 최대 0.11dB로 무시할 수 있을 정도로 작음을 확인 하였다.을 알 수 있었다. 현지관측에 비해 막대한 비용과 시간을 절약할 수 있는 위성영상해석방법을 이용한 방법은 해양수질파악이 가능할 것으로 판단되며, GIS를 이용하여 다양하고 복잡한 자료를 데이터베이스화함으로써 가시화하고, 이를 기초로 공간분석을 실시함으로써 환경요소별 공간분포에 대한 파악을 통해 수치모형실험을 이용한 각종 환경영향의 평가 및 예측을 위한 기초자료로 이용이 가능할 것으로 사료된다.염총량관리 기본계획 시 구축된 모형 매개변수를 바탕으로 분석을 수행하였다. 일차오차분석을 이용하여 수리매개변수와 수질매개변수의 수질항목별 상대적 기여도를 파악해 본 결과, 수리매개변수는 DO, BOD, 유기질소, 유기인 모든 항목에 일정 정도의 상대적 기여도를 가지고 있는 것을 알 수 있었다. 이로부터 수질 모형의 적용 시 수리 매개변수 또한 수질 매개변수의 추정 시와 같이 보다 세심한 주의를 기울여 추정할 필요가 있을 것으로 판단된다.변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이루어질 수 있을 것으로 기대된다.는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을 활용하는 경우 주식투자기간은 24개월이하의 중단기가 적합함을 발견하였다. 이상의 행태적 측면과 투자성과측면의 실증결과를 통하여 한국주식시장에 있어서 시장수익률을 평균적으로 초과할 수 있는 거래전략은 존재하므로 이러한 전략을 개발 및 활용할 수 있으며, 특히, 한국주

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Analysis of Likelihood of Failure for the Brittle Fracture through Quantitative Risk Based Inspection using API-581 (API-581에 의한 정량적 위험기반검사에서 취성파괴에 의한 사고발생 가능성 해석)

  • Kim Tae-Ok;Lee Hern-Chang;Jang Seo-Il
    • Journal of the Korean Institute of Gas
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    • v.10 no.1 s.30
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    • pp.1-6
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    • 2006
  • To use pressurized facilities safely and effectively, a likelihood of failure (LOF) for the brittle fracture was analyzed quantitatively through the risk based inspection using API-581 BRD. We found that for the case of the low temperature/low toughness and the temper embrittlement, the technical module subfactor (TMSF) showed high value for the A impact curve, low temperature, and the no post weld heat treatment. But the risk didn't significantly change at the $855^{\circ}F$ embrittlement, and the LOF far the sigma phase embrittlement showed high value at low temperature of the high sigma.

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Consequence Analysis for Accidental Releases of Toxic Gases through Risk Based Inspection using API-581 (API-581에 의한 위험기반검사에서 독성가스의 누출사고 결과분석)

  • Kim Tae-Ok;Lee Hern-Chang;Kim Hwan-Joo;Shin Dongil
    • Journal of the Korean Institute of Gas
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    • v.8 no.4 s.25
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    • pp.8-14
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    • 2004
  • Accidental releases of toxic gases heavily affect to the risk of process facilities. In this research, consequence analysis for accidental releases of ammonia and chlorine gases was studied using the risk based inspection, based on API-581 BRD. It was found out that consequence areas (toxic areas) decrease as temperature increases and as the pipe diameter and pressure decrease. For the same release condition, the toxic area by the release of chlorine gas was larger than that by the release of ammonia gas.

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A Quantitative Risk Analysis of Related to Tower Crane Using the FMEA (타워크레인의 정량적 위험성 평가가법에 관한 연구(FMEA 기법 위주))

  • Shim, Kyu-Hyung;Rie, Dong-Ho
    • Journal of the Korean Society of Safety
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    • v.25 no.6
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    • pp.34-39
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    • 2010
  • The purpose of this study is to suggest objective evaluation model as a plan to utilize as opportunity in establishing judgment standard of mutual inspection criteria and to upgrade inspection ability by reviewing and analyzing level of danger and importance in advance based on inspection results of inspection institutions regarding tower cranes used in construction fields. Tower crane is a mechanical device transporting construction supplies and heavy materials to places over 20~150M high from the ground for the period ranging from a short time of 2~3 months to two years after being installed in construction sites in vicinity of buildings or structures and is an important facility indispensable for construction sites. However, since use period after installation is short and professional technical ability of technicians working on-site about of tower crane is poor, systematic and quantitative safety management is not carried out As a part of researches on procedure of RBI(Risk Based Inspection) possible to apply to Knowledge Based System based on knowledge and experiences of experts as well as to tower cranes for solving these problems, quantitative RPN(Risk Priority Number) was applied to RPN utilizing technique of FMEA(Failure Mode and Effect Analyses). When general RBI 80/20 Rule was applied parts with high level of risks were found out as wire rope, hoist up/down safety device, reduction gear, and etc. However, since there are still many insufficient parts as risk analyses of tower crane were not established, it is necessary for experts with sufficient experiences and knowledge to supplement active RBI techniques and continuous researches on tower cranes by sharing and setting up data base of important information with this study as a starting point.

Risk Assessment Technique for Gas Fuel Supply System of Combined Cycle Power Plants (I) : Based on API RBI Procedures (복합화력발전의 가스연료 공급계통에 대한 위험도 평가 기법 연구 (I) : API RBI 절차에 기반한 위험도 평가)

  • Song, Jung Soo;Yu, Jong Min;Han, Seung Youn;Choi, Jeong Woo;Yoon, Kee Bong
    • Journal of Energy Engineering
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    • v.27 no.2
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    • pp.1-13
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    • 2018
  • The proportion of natural gas-fueled power generation is expanding due to the change of domestic energy policy pursuing reduction of dust and increasing clean energy consumption. Natural gas fuels used for the combined-cycle power plants and the district-heating power plants are operated at high temperature and high pressure in the fuel supply system. Accidents due to leakage of the gas such as fire and explosion should be prevented by applying risk management techniques. In this study, risk assessment was performed on the natural gas fuel supply system of a combined power plant based on the API RP 581 RBI code. For the application of the API RBI code, lines and segments of the evaluation target system were identified. Operational data and input information were analyzed for the calculations of probability of failure and consequence of failure. The results of the risk assessment were analyzed over time from the initial installation time. In the code-based evaluation, the gas fuel supply system was mainly affected by thinning, external damage, and mechanical fatigue damage mechanisms. As the operating time passes, the risk is expected to increase due to the external damage caused by the CUI(Corrosion Under Insulation).

Radiological Risk Assessment for the Public Under the Loss of Medium and Large Sources Using Bayesian Methodology (베이지안 기법에 의거한 중대형 방사선원의 분실 시 일반인에 대한 방사선 위험도의 평가)

  • Kim, Joo-Yeon;Jang, Han-Ki;Lee, Jai-Ki
    • Journal of Radiation Protection and Research
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    • v.30 no.2
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    • pp.91-97
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    • 2005
  • Bayesian methodology is appropriated for use in PRA because subjective knowledges as well as objective data are applied to assessment. In this study, radiological risk based on Bayesian methodology is assessed for the loss of source in field radiography. The exposure scenario for the lost source presented in U.S. NRC is reconstructed by considering the domestic situation and Bayes theorem is applied to updating of failure probabilities of safety functions. In case of updating of failure probabilities, it shows that 5 % Bayes credible intervals using Jeffreys prior distribution are lower than ones using vague prior distribution. It is noted that Jeffreys prior distribution is appropriated in risk assessment for systems having very low failure probabilities. And, it shows that the mean of the expected annual dose for the public based on Bayesian methodology is higher than the dose based on classical methodology because the means of the updated probabilities are higher than classical probabilities. The database for radiological risk assessment are sparse in domestic. It summarizes that Bayesian methodology can be applied as an useful alternative lot risk assessment and the study on risk assessment will be contributed to risk-informed regulation in the field of radiation safety.

Development of Stand-Alone Risk Assessment Software for Optimized Maintenance Planning of Power Plant Facilities (발전설비 최적 정비를 위한 독립형 위험도 평가 소프트웨어 개발)

  • Choi, Woo Sung;Song, Gee Wook;Kim, Bum Shin;Chang, Sung Ho;Lee, Sang Min
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.39 no.11
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    • pp.1169-1174
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    • 2015
  • Risk-Risk-based inspection (RBI) has been developed in order to identify risky equipments that can cause major accidents or damages in large-scale plants. This assessment evaluates the equipment's risk, categorizes their priorities based on risk level, and then determines the urgency of their maintenance or allocates maintenance resources. An earlier version of the risk-based assessment software is already installed within the equipment management system; however, the assessment is based on examination by an inspector, and the results can be influenced by his subjective judgment, rather than assessment being based on failure probability. Moreover, the system is housed within a server, which limits the inspector's work space and time, and such a system can be used only on site. In this paper, the development of independent risk-based assessment software is introduced; this software calculates the failure probability by an analytical method, and analyzes the field inspection results, as well as inspection effectiveness. It can also operate on site, since it can be installed on an independent platform, and has the ability to generate an I/O function for the field inspection results regarding the period for an optimum maintenance cycle. This program will provide useful information not only to the field users who are participating in maintenance, but also to the engineers who need to decide whether to extend the lifecycle of the power machinery or replace only specific components.

Analysis of the Relationship between Abdominal Ultrasound Based Kidney Stones, Obesity and Metabolic Syndrome (복부 초음파 검사 기반 신장결석과 비만 및 대사증후군 관련성 분석)

  • Kim, Ju Hee;Jang, Hyon Chol;Cho, Pyong Kon
    • Journal of the Korean Society of Radiology
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    • v.14 no.4
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    • pp.495-502
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    • 2020
  • Kidney stones are a common disease with an annual prevalence of about 30,000 people in Korea, and are deeply related to an increase in chronic kidney disease, high blood pressure, coronary artery disease, metabolic syndrome, type 2 diabetes, hyperlipidemia, and abdominal obesity. Therefore, in this study, 135 examinees who visited a general hospital in Dalseong-gun from May 2019 to June 2020 for a medical examination were examined. The relationship between kidney stones and factors related to obesity and metabolic syndrome were found in abdominal ultrasound. I tried to find out the relevance. As a result of the study, the risk of kidney stones in the abnormal group was increased by 4.255 times compared to the normal group in total cholesterol factor, and the risk of kidney stones in the abnormal group was increased by 2.072 times compared to the normal group in the low-density lipoprotein cholesterol factor. Total cholesterol factor and low-density lipoprotein cholesterol It was found that the factor affects the prevalence of kidney stones and metabolic syndrome. Since the risk of kidney stones is related to total cholesterol and low-density lipoprotein cholesterol factors, active attention should be paid to preventive purposes through health check-ups.

POC : Establishing Dataset for Artificial Intelligence-based Crack Detection (POC : 인공지능 기반 균열 탐지를 위한 데이터셋 구축)

  • Kim, Ji-Ho;Kim, Gyeong-Yeong;Kim, Dong-Ju
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.45-48
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    • 2022
  • 건축물 안전 점검은 대부분 전문가의 현장 방문을 통한 육안검사다. 그중 균열 검사는 건물 위험도를 나타내는 중요한 지표로써 발생 위치, 진행성, 크기를 조사하는데, 최근 균열 조사 방식에 대해 객관성과 체계성을 보완할 딥러닝 개발이 활발하다. 그러나 균열 이미지는 외부 현장에 모양, 규모도 많은 종류라 도메인이 다양해야 하는데 대부분 제한된 환경과 실제적인 균열 검사와는 무관한 데이터로 구성되어 실효적이지 않다. 본 연구에서는 균열 조사에 적합하고 Wild 환경에 적용 가능한 POC 데이터셋을 소개한다. 기존 균열 공인 데이터셋 4종의 특징과 한계점을 분석을 토대로 고해상도 이미지로써 균열의 세부 특징을 담았고 균열 유사 환경과 조건들을 추가 촬영해 균열 검출에 강인하게 학습되도록 지향하였다. 정제 및 라벨링 작업을 거친 POC 데이터 셋은 균열 검출모델인 YOLO-v5으로 성능을 실험하였고, mAP(mean Average Precision) 75.5%로 높은 검출률을 보였다. POC 데이터셋으로 더욱 도메인에 적응적(Domain-adapted)인 인공지능 모델을 개발하여 건물, 댐, 교량 등 각종 대형 건축물에 대한 안전하고 효과적인 안전 관리 도구로써 활용할 것을 기대한다.

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A Study on Similarity Comparison for File DNA-Based Metamorphic Malware Detection (파일 DNA 기반의 변종 악성코드 탐지를 위한 유사도 비교에 관한 연구)

  • Jang, Eun-Gyeom;Lee, Sang Jun;Lee, Joong In
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.1
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    • pp.85-94
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    • 2014
  • This paper studied the detection technique using file DNA-based behavior pattern analysis in order to minimize damage to user system by malicious programs before signature or security patch is released. The file DNA-based detection technique was applied to defend against zero day attack and to minimize false detection, by remedying weaknesses of the conventional network-based packet detection technique and process-based detection technique. For the file DNA-based detection technique, abnormal behaviors of malware were splitted into network-related behaviors and process-related behaviors. This technique was employed to check and block crucial behaviors of process and network behaviors operating in user system, according to the fixed conditions, to analyze the similarity of behavior patterns of malware, based on the file DNA which process behaviors and network behaviors are mixed, and to deal with it rapidly through hazard warning and cut-off.