• 제목/요약/키워드: Safety evaluation Platform

검색결과 86건 처리시간 0.03초

해양플랜트지원선의 저항성능과 운동응답특성에 관한 연구 (The Evaluation of Hydrodynamic Resistance and Motion Response Characteristics of Platform Supply Vessel)

  • 서광철;김옥석;류연철;;이경우
    • 해양환경안전학회지
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    • 제19권4호
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    • pp.397-402
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    • 2013
  • 본 연구에서는 전장이 26.75 m인 해양플랜트지원선의 선형개발을 위한 수치해석을 수행하였고 수치해석 검증을 위한 1/10의 모형선 시험을 예인수조에서 수행하였다. 또한 운항해역의 해상조건으로 뷰포트 스케일 2, 3 및 4에서 향파, 선수사파 및 횡파에서 선속별 상하동요 및 종동요에 대해서 운동응답특성을 수치 해석하였다. 모형시험과 수치해석의 저항 예측 결과는 상호 일치하였다. 운동응답특성은 선수파에서 상하동요는 조우주파수 1.8~2.0 영역에서 크게 나타났으며, 종동요는 거친 해상에서 선미사파 및 고속영역에서 높은 운동특성을 보였다.

조건수를 이용한 6자유도 F/T센서의 최적구조에 관한 연구 (A Study on the optimal structure of 6 D.O.F F/T Sensor using the condition number)

  • 장완식;김재명
    • 한국안전학회지
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    • 제11권4호
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    • pp.16-23
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    • 1996
  • In controlling manipulators interacting with the external environment, an important role is played by the Force/Torque(F/T) sensors. Recently, a number of structures for F/T sensors have been proposed, and some criteria for their evaluation have been introduced. This paper presents a systematic analysis of F/T sensor at the design stage. A model of the F/T sensors, based on Stewart Platform structure, is developed on the basis of static and kinematic equation. The condition number defined by the kinematic velocity and force analysis of F/T sensor is used as a performance Index. Thus, 4 optimal structure factors of 6 D.O. F. F/T sensor are determined by using the condition number.

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Dynamic quantitative risk assessment of accidents induced by leakage on offshore platforms using DEMATEL-BN

  • Meng, Xiangkun;Chen, Guoming;Zhu, Gaogeng;Zhu, Yuan
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제11권1호
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    • pp.22-32
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    • 2019
  • On offshore platforms, oil and gas leaks are apt to be the initial events of major accidents that may result in significant loss of life and property damage. To prevent accidents induced by leakage, it is vital to perform a case-specific and accurate risk assessment. This paper presents an integrated method of Ddynamic Qquantitative Rrisk Aassessment (DQRA)-using the Decision Making Trial and Evaluation Laboratory (DEMATEL)-Bayesian Network (BN)-for evaluation of the system vulnerabilities and prediction of the occurrence probabilities of accidents induced by leakage. In the method, three-level indicators are established to identify factors, events, and subsystems that may lead to leakage, fire, and explosion. The critical indicators that directly influence the evolution of risk are identified using DEMATEL. Then, a sequential model is developed to describe the escalation of initial events using an Event Tree (ET), which is converted into a BN to calculate the posterior probabilities of indicators. Using the newly introduced accident precursor data, the failure probabilities of safety barriers and basic factors, and the occurrence probabilities of different consequences can be updated using the BN. The proposed method overcomes the limitations of traditional methods that cannot effectively utilize the operational data of platforms. This work shows trends of accident risks over time and provides useful information for risk control of floating marine platforms.

Direct strength evaluation of the structural strength of a 500 cbm LNG bunkering ship

  • Muttaqie, Teguh;Jung, DongHo;Cho, Sang-Rai;Sohn, Jung Min
    • Structural Engineering and Mechanics
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    • 제81권6호
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    • pp.781-790
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    • 2022
  • The present paper describes a general procedure of the structural safety assessment for the independent type C tank of LNG bunkering ship. This strength assessment procedure consists of two main scheme, global Finite Element Analysis (FEA) model primarily for hull structure assessment and detailed LNG Tank structures FEA model including the cylindrical tank itself and saddle-support structures. Two kinds of mechanism are used, fixed and slides constraints in fore and rear of the saddle-support structures that result in a variation of the reaction forces. Finite Element (FE) analyses have been performed and verified by the strength acceptance criteria to evaluate the safety adequacy of yielding and buckling of the hull and supporting structures. The detail of FE model for an LNG type C tank and its saddle supports was made, which includes the structural members such as cylindrical tank shell, ring stiffeners, swash bulkhead, and saddle supports. Subsequently, the FE buckling analysis of the Type C tank has been performed under external pressure following International Gas Containment (IGC) code requirements. Meanwhile, the assessment is also performed for yielding and buckling strength evaluation of the cylindrical LNG tank according to the PD 5500 unfired fusion welded pressure vessels code. Finally, a complete procedure for assessing the structural strength of 500 CBM LNG cargo tank, saddle support and hull structures have been provided.

해사영어학습 및 평가 플랫폼을 활용한 교육 효과에 대한 연구 (A Study on the Educational Efficacy of a Maritime English Learning and Testing Platform)

  • 설진기;박영수
    • 해양환경안전학회지
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    • 제26권4호
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    • pp.374-381
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    • 2020
  • 상선에 당직사관으로 승선하기 위한 해기사는 승선 전 해기사로서 갖추어야 할 적절한 자격요건을 국제규정에 맞게 충족시켜야 한다. 해사영어 활용 능력은 이와 관련한 중요한 요소 중 하나이다. 해기 교육 과정에 입교한 학생들은 교내 수업을 통해 선박과 관련된 영문 서류, 검사 문서 그리고 사고 보고서에 이르기까지 다양한 상황에 대한 해사영어활용능력을 습득하게 되며 이를 통해 일반 영어뿐만이 아닌 실무에서 사용되는 해사분야 전문 용어 및 특수 문장까지 학습하게 된다. 하지만 선박 및 해운산업의 특수성으로 인해 해사영어를 포함한 해기 지식이 전달되고 또 평가되는 데에는 많은 제약이 존재한다. 해당 연구는 항시 접속 가능한 해사영어 학습 및 시험 플랫폼의 활용을 기반으로 학생들의 학습 결과를 측정하고 이를 통한 교육 효과를 조사하였다. 실험은 승선실습 과정에 참여한 실습항해사를 두 집단으로 나누어 진행되었다. 한 집단은 해사영어 학습 및 평가 플랫폼을 활용하였고 다른 한 집단은 해사영어 학습 및 평가 플랫폼을 활용하지 않았다. 6주의 실험을 통한 최종 시험 결과 두 집단 간 해사영어 시험성적에 유의한 차이가 발생하였으며 이를 통해 해사영어 학습 및 평가 플랫폼의 활용이 해사영어 시험 점수에 유의미한 점수 차이를 가져오는 것을 확인하였다. 또한 학생들의 개인 학습시간을 조사하여 그 교육 효과를 정량화하였으며 나아가 추후 연구에 대한 개선방향을 제시하고자 하였다. 해당 연구는 해사 교육 분야에 다양하게 적용하여 활용할 수 있는 학습 플랫폼 활용 효능을 조사하였으며 향후 해사영어 교육 외에 그 범위를 넓혀 활용될 수 있을 것으로 사료된다.

Evaluation of the Effect of Riser Support System on Global Spar Motion by Time-domain Nonlinear Hull/Mooring/Riser Coupled Analysis

  • KOO BON-JUN;KIM MOO-HYUN
    • 한국해양공학회지
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    • 제19권5호
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    • pp.16-25
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    • 2005
  • The effect of vertical riser support system on the dynamic behaviour of a classical spar platform is investigated. Spar platform generally uses buoyancy-can riser support system, but as water depth gets deeper the alternative riser support system is required due to safety and cost issues. The alternative riser support system is to hang risers off the spar platform using pneumatic cylinders rather than the buoyancy-can. The existing numerical model for hull/mooring/riser coupled dynamics analysis treats riser as an elastic rod truncated at the keel (truncated riser model), thus, in this model, the effect of riser support system can not be modeled correctly. Due to this reason, the truncated riser model tends to overestimate the spar pitch and heave motion. To evaluate more realistic global spar motion, mechanical coupling among risers, guide frames and support cylinders inside of spar moon-pool should be modeled. In the newly developed model, the risers are extended through the moon-pool by using nonlinear finite element methods with realistic boundary condition at multiple guide frames. In the simulation, the vertical tension from pneumatic cylinders is modeled by using ideal-gas equation and the vertical tension from buoyancy-cans is modeled as constant top tension. The different dynamic characteristics between buoyancy-can riser support system and pneumatic riser support system are extensively studied. The alternative riser support system tends to increase spar heave motion and needs damper system to reduce the spar heave motion.

Safety Evaluation of Bifidobacterium breve IDCC4401 Isolated from Infant Feces for Use as a Commercial Probiotic

  • Choi, In Young;Kim, Jinhee;Kim, Su-Hyeon;Ban, O-Hyun;Yang, Jungwoo;Park, Mi-Kyung
    • Journal of Microbiology and Biotechnology
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    • 제31권7호
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    • pp.949-955
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    • 2021
  • Previously, our research group isolated Bifidobacterium breve IDCC4401 from infant feces as a potential probiotic. For this study, we evaluated the safety of B. breve IDCC4401 using genomic and phenotypic analyses. Whole genome sequencing was performed to identify genomic characteristics and investigate the potential presence of genes encoding virulence, antibiotic resistance, and mobile genetic elements. Phenotypic analyses including antibiotic susceptibility, enzyme activity, production of biogenic amines (BAs), and proportion of D-/L-lactate were evaluated using E-test, API ZYM test, high-performance liquid chromatography (HPLC), and D-/L-lactic acid assay respectively. The genome of B. breve IDCC4401 consists of 2,426,499 bp with a GC content of 58.70% and 2,016 coding regions. Confirmation of the genome as B. breve was provided by its 98.93% similarity with B. breve DSM20213. Furthermore, B. breve IDCC4401 genes encoding virulence and antibiotic resistance were not identified. Although B. breve IDCC4401 showed antibiotic resistance against vancomycin, we confirmed that this was an intrinsic feature since the antibiotic resistance gene was not present. B. breve IDCC4401 showed leucine arylamidase, cystine arylamidase, α-galactosidase, β-galactosidase, and α-glucosidase activities, whereas it did not show production of harmful enzymes such as β-glucosidase and β-glucuronidase. In addition, B. breve IDCC4401 did not produce any tyramine, histamine, putrescine, cadaverine, or 2-phenethylamine, which are frequently detected BAs during fermentation. B. breve IDCC4401 produced 95.08% of L-lactate and 4.92% of D-lactate. Therefore, our findings demonstrate the safety of B. breve IDCC 4401 as a potential probiotic for use in the food industry.

물류 서비스 운영 효율과 개인정보 보안 향상을 위한 블록체인 기반 스마트 전자 운송장 플랫폼 시스템 분석 및 평가지표 도출에 관한 연구 (On derivation the System Analysis and Evaluation Indicators of Blockchain-based Smart Electronic Transport Waybill Platform for Improvement of Logistics Service Operation Efficiency and Personal Information Security)

  • 박재민;원종운;성기덕;김영민
    • 대한안전경영과학회지
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    • 제22권4호
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    • pp.75-86
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    • 2020
  • With the advent of the 4.0 era of logistics due to the Fourth Industrial Revolution, infrastructures have been built to receive the same services online and offline. Logistics services affected by logistics 4.0 and IT technology are rapidly changing. Logistics services are developing using technologies such as big data, artificial intelligence, blockchain, Internet of things, and augmented reality. The convergence of logistics services and various IT new technologies is accelerating, and the development of data management solution technology has led to the emergence of electronic cargo waybill to replace paper cargo waybill. The electronic waybill was developed to supplement paper waybill that lack economical and safety. However, the electronic waybill that appeared to complement the paper waybill are also in need of complementation in terms of efficiency and reliability. New research is needed to ensure that electronic cargo waybill gain the trust of users and are actively utilized. To solve this problem, electronic cargo waybill that combine blockchain technology are being developed. This study aims to improve the reliability, operational efficiency and safety of blockchain electronic cargo waybill. The purpose of this study is to analyze the blockchain-based electronic cargo waybill system and to derive evaluation indicators for system supplementation.

병렬구조형 차량운전 모사장치의 성능평가 및 분석 (Analysis and performance evaluation of the parallel typed for a vehicle driving simulator)

  • 박일경;박경균;김정하;이운성
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.1481-1484
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    • 1997
  • The vehicle driving simulator expects vehicle motion with real-time simulation arise from driver's steering, accelerating, stopping and simulates motion of vehicl with visula, audio and washout algorithm. And it gives a vivid feeling to driver in reality. Vehicle driving simulator with vehicle integration control system is used for analysis of analysis of vehicle controllaility, steering capacity and safety in various pseudo environment alike. basides, it analyzeds vehicle safety factor dirver's reaction and promotes traffic safety without driver's own risks. The main proceduress of development of the vehicle driving simulator are classified by 3 parts. first the motion base system which can be generated by the motion queues, should be developed. Secondly, real-time vehicle software which can afford the vehicle dynamics, might be constructed. The third procedure is the integration of vehicle driing simulator which can be interconnected between visual systems with motion base. In this study, we are to study of the motion base for a vehicle driving simulator design and that of its real time control and using an extra gyro sensor and accelerometers to find a position and an orientatiion of the moving platform except for calculating forward kinematics. To drive the motion base, we use National Instruments corp's Labview software. Furthemore, we use analysis module for the vehicle motionand the washout algorithm module to consummate driving simulator, which can be driven by human in reality, so we are doing experimentally process about various vehicle motion conditon.

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Multi-Scale Dilation Convolution Feature Fusion (MsDC-FF) Technique for CNN-Based Black Ice Detection

  • Sun-Kyoung KANG
    • 한국인공지능학회지
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    • 제11권3호
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    • pp.17-22
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    • 2023
  • In this paper, we propose a black ice detection system using Convolutional Neural Networks (CNNs). Black ice poses a serious threat to road safety, particularly during winter conditions. To overcome this problem, we introduce a CNN-based architecture for real-time black ice detection with an encoder-decoder network, specifically designed for real-time black ice detection using thermal images. To train the network, we establish a specialized experimental platform to capture thermal images of various black ice formations on diverse road surfaces, including cement and asphalt. This enables us to curate a comprehensive dataset of thermal road black ice images for a training and evaluation purpose. Additionally, in order to enhance the accuracy of black ice detection, we propose a multi-scale dilation convolution feature fusion (MsDC-FF) technique. This proposed technique dynamically adjusts the dilation ratios based on the input image's resolution, improving the network's ability to capture fine-grained details. Experimental results demonstrate the superior performance of our proposed network model compared to conventional image segmentation models. Our model achieved an mIoU of 95.93%, while LinkNet achieved an mIoU of 95.39%. Therefore, it is concluded that the proposed model in this paper could offer a promising solution for real-time black ice detection, thereby enhancing road safety during winter conditions.