• Title/Summary/Keyword: 선내 모니터링

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Configuration of clustering and routing algorithms for energy efficiency by wireless sensor network in ship (선박 내 무선 센서 네트워크에서 에너지 효율을 위한 클러스터링 및 라우팅 알고리즘의 구성)

  • Kim, Mi-jin;Yu, Yun-Sik;Jang, Jong-wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.435-438
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    • 2012
  • Today, In all fields, As combination of ubiquitous computing-based technologies between electronic space and physical space, has been active trend research about wireless integration sensor network between sensors and wireless technology. Also, but in ship is underway research about Ship Area Network(SAN) of intelligent ship to integrate wireless technology, ship is required SAN-bridge technology of a variety of wired, wireless network integration and heterogeneous sensor and interoperability of the controller and SAN configuration management technology of remote control. Ship keep safe of all the surrounding environment including crew besides structural safety and freight management monitoring. In this paper, for monitoring design such as on climate change detection and temperature, pressure about various structures, there identify technology trends for routing and data aggregation to use energy efficiency in wireless sensor network. And to analyze self-organizing clustering method, study For wireless sensor network configuration in ship.

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Site Monitoring of Crews and Passengers on Board by the BLE and PLM Combination (BLE와 PLM 조합의 승선자 위치 모니터링)

  • Kwon, Hyuk-Joo;Yang, Hyun-Suk;Lee, Sung-Geun
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.4
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    • pp.463-467
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    • 2015
  • When unforeseen accidents occur in a ship, it is important to save passengers safely and remove them from the accident area quickly. To solve such a situation, site information of passengers on board always must be identified. This paper implemented a site monitoring of crews and passengers based on the BLE and PLM combination, to prepare for unexpected accidents of the ships. This system was composed of BLE tag for crews, passengers and each room, PLM networks, data server, and monitoring PC. In this system, site information derived from the tag attached to the bodies and cabins of crews and passengers are transmitted through a power line network, and monitored on the screen of a monitoring PC. The proposed system guides them into the only authorized area considering the ship security and passengers' safety, and even has a special alarm call to warn them after entering an unauthorized area. This system enables the BLE-embedded tag battery to use for a long time because the BLE consumes low electric power, and can gain an economic advantage.

Status and prospect of e-navigation Service (e-navigation 정책을 활용한 서비스 현황과 전망)

  • Kim, Jae-Myoung;Oh, Moon-Kyun
    • 한국IT서비스학회:학술대회논문집
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    • 2009.11a
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    • pp.413-416
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    • 2009
  • e-navigation 전략은 선박의 출발항부터 도착항의 부두 접안에 이르는 전 과정의 안전과 보안을 위한 관련 서비스 및 해양환경 보호 증진을 위해 선박과 육상 관련 정보를 융합하여 통합된 수집, 교환, 표현 및 분석을 수행하는 체계를 말한다. 이는 기존의 선상 시스템과 육상 시스템에서의 유용한 정보들을 융합하여 통합시킴으로서 선박의 안전을 제공하고 나아 가서는 해상의 환경을 보호하기 위한 방법을 제공하기 위한 것이다. 이러한 e-navigation 전략의 기반 하에 기존 제공되는 선상에서의 IBS, 육상의 VTS 등 서비스 뿐 아니라, 원격 유지보수 서비스, 선내 통합 모니터링 서비스, 지능형 선박충돌방지 서비스, 지능형 연근해상 선박교통관제 서비스 등 다양한 통합화된 서비스 제공이 가능하다.

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인공지능 기반 화물관리 시스템 개발

  • 차지혜;윤인근;임범현;박종진;이인;정두훈;김민정
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.245-247
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    • 2022
  • 컨테이너선에서 스위치보드와 리퍼컨테이너의화재 발생 전과 후를 CCTV 및 열화상카메라, 추가센서류로 상시 모니터링하여, 화재 전 이상감지와 화재 후 불꽃, 연기 등의 화재 종류를 선내 알림하여 즉시 조치할 수 있도록 효율적인 화물관리시스템을 설계하고, 정확도 높은 화재 감지를 목적으로 데이터 학습을 위한 영상 및 전류 데이터 수집과 실제 컨테이너 스위치보드 및 리퍼컨테이너 레이아웃을 모사한 Testbed를 구축하였습니다.

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Analysis of the Communication Middleware for Service Integration of Korean e-Navigation Operation Center (한국형 e-Navigation 운영센터의 서비스 통합을 위한 DDS 미들웨어 분석)

  • Jang, Wonseok;Kim, Beomjun;Kang, Moonseog
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.274-276
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    • 2017
  • Korean e-Navigation is a system that introduced to reduce maritime accidents. In order to reduce marine accidents, Korean e-Navigation provides the following services-"Vulnerable Vessel Monitoring", "Vulnerable Vessel support & monitoring", "Optimal safety route", "ENC Streaming for Small Vessel", "Tug & Barge Support", "Maritime Safety Information Providing". Each Service is a system separated into finctional units and integrated into Korean e-Navigation. Korean e-Navigation is introducing data middleware to integrate each service and the DDS(Data Distribution Service) is judged to be effective. Thus, this paper analyzed the characteristics of DDS middleware types suitable for each service of e-Navigation.

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Shipboard Fire Evacuation Route Prediction Algorithm Development (선박 화재시 승선자 피난동선예측을 위한 알고리즘 개발 기초연구)

  • Hwang, Kwang-Il;Cho, So-Hyung;Ko, Hoo-Sang;Cho, Ik-Soon;Yun, Gwi-Ho;Kim, Byeol
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.5
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    • pp.519-526
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    • 2018
  • In this study, an algorithm to predict evacuation routes in support of shipboard lifesaving activities is presented. As the first step of algorithm development, the feasibility and necessity of an evacuation route prediction algorithm are shown numerically. The proposed algorithm can be explained in brief as follows. This system continuously obtains and analyzes passenger movement data from the ship's monitoring system during non-disaster conditions. In case of a disaster, evacuation route prediction information is derived using the previously acquired data and a prediction tool, with the results provided to rescuers to minimize casualties. In this study, evacuation-related data obtained through fire evacuation trials was filtered and analyzed using a statistical method. In a simulation using the conventional evacuation prediction tool, it was found that reliable prediction results were obtained only in the SN1 trial because of the conceptual and structural nature of the tool itself. In order to verify the validity of the algorithm proposed in this study, an industrial engineering tool was adapted for evacuation characteristics prediction. When the proposed algorithm was implemented, the predicted values for average evacuation time and route were very similar to the measured values with error ranges of 0.6-6.9 % and 0.6-3.6 %, respectively. In the future, development of a high-performance evacuation route prediction algorithm is planned based on shipboard data monitoring and analysis.

Research on the Rescue Maneuvering of POB to Implement Cognitive Simulation (인지 시뮬레이션 구축을 위한 익수자 구조 선박조종법 검토)

  • Yoon, Cheong-Guem;Kim, Deok-Bong;Jeong, Cho-Young
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2015.07a
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    • pp.259-261
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    • 2015
  • The model for ship maneuvering simulation is to enhance the competence of officer's ship maneuvering skills such as navigation equipment operation, collision avoidances, countermeasure an emergency situation so on. Despite using such ship maneuvering model, critical maritime accidents are occurred periodically in the world. To find adequate simulation model to evaluate competence abilities of deck officer who have maneuvering skills with some competence levels, we search the standard ship maneuvering method representing on the part 3 Person Overboard(POB) to onboard emergences of IAMSAR manual. Moreover we monitor the officer's human factors appearing during education and training and consider the use of human factors as fundamental data.

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Implementation of pressure monitoring system(PMS) for ship's engine performance analysis(SEPA) based on the web (웹기반 선박엔진 성능분석용 압력모니터링 시스템 구현)

  • Yang, Hyun-Suk;Kwon, Hyuk-Joo;Lee, Sung-Geun
    • Journal of Advanced Marine Engineering and Technology
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    • v.38 no.7
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    • pp.929-935
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    • 2014
  • This paper is study on the pressure monitoring system(PMS) for ship's engine performance analysis( SEPA) based on web, with high speed and accuracy. This system is composed of pressure sensor, monitoring module with multi channel A/D converter, TCP/IP and satellite internet communication system. Existing domestic products measure cylinder pressure when piston of first explosive cylinder reached TDC(the top dead center) point and then measure next cylinder pressure manually each angle divided by a constant rotating interval. But presented system monitors in the local and web computer, using pressure information transmitted from pressure sensor installed on each engine. In this system, it is possible to increase the accuracy of the engine performance analysis because not only each TDC points but cylinder pressures synchronized with the TDC points could be measured in real time, accurately. And therefore, it may be used in a various diagnosis of main engines, such as deviations of each cylinder maximum pressures(Pmax) and the TDC firing positions and combustion conditions.

A Study of Demonstration Procedure for Onboard Ship Equipment (선내 장비 실선시험을 위한 절차연구)

  • Hyoseung Kim;Geonhong Kim;Seojeong Lee
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.218-219
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    • 2022
  • The Korea Institute for Advancement of Technology and the Ulsan ICT Promotion Agency are building an electric smart ship using a full range of ICT with advanced technology, and are expected to demonstrate it in 2022. For the demonstration of onboard ship equipment, it needs to develop a demonstration procedure. There are 4 types of onboard equipment preferentially selected for the development of the demonstration test procedure which are an electronic chart display and information system, a ship RADAR system, a voyage data recorder, and a ship energy efficiency monitoring system. This paper describes the demonstration procedure based on the equipment standard for the electronic chart display and information system among 4 selected types of demonstration equipment, and also the verification test checklist and template is introduced.

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Prediction of Ship Roll Motion using Machine Learning-based Surrogate Model (기계학습기반의 근사모델을 이용한 선박 횡동요 운동 예측)

  • Kim, Young-Rong;Park, Jun-Bum;Moon, Serng-Bae
    • Journal of Navigation and Port Research
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    • v.42 no.6
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    • pp.395-405
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    • 2018
  • Seakeeping safety module in Korean e-Navigation system is one of the ship remote monitoring services that is employed to ensure the safety of ships by monitoring the ship's real time performance and providing a warning in advance when the abnormal conditions are encountered in seakeeping performance. In general, seakeeping performance has been evaluated by simulating ship motion analysis under specific conditions for its design. However, due to restriction of computation time, it is not realistic to perform simulations to evaluate seakeeping performance under real-time operation conditions. This study aims to introduce a reasonable and faster method to predict a ship's roll motion which is one of the factors used to evaluate a ship's seakeeping performance by using a machine learning-based surrogate model. Through the application of various learning techniques and sampling conditions on training data, it was observed that the difference of roll motion between a given surrogate model and motion analysis was within 1%. Therefore, it can be concluded that this method can be useful to evaluate the seakeeping performance of a ship in real-time operation.