• Korean Journal of Computational Design and Engineering
• /
• v.19 no.2
• /
• pp.169-181
• /
• 2014

Recently ships and ocean platforms are becoming increasingly technological, unmanned, and huge. Maintenance and safety monitoring of these products is very important for safety reasons. Therefore, real-time monitoring of safety regions, such as the engine room, and hull structure, and environmental states, like fire and pressure of LNG tanks, is required for the sustainable ships. In this paper, a ZigBee-based wireless sensor network is suggested to monitor ships and ocean platforms effectively. However, this causes some telecommunication problems because these products are made of steel. To resolve this problem, we use the mesh networking of Zig-Bee that can monitor the regions and environmental states consistently. The telecommunication of such a monitoring system is tested on a real container ship and its performance is verified. The real-time monitoring results are displayed on the users' smart devices.

• Journal of Korea Ship Safrty Technology Authority
• /
• s.27
• /
• pp.53-62
• /
• 2009

오늘날의 선박은 디지털 선박(Digital-ship)으로 변화하고 있으며, 일부 유비쿼터스(Ubiquitos) 기술을 기반으로 e-Navigation 및 VTS(Vessel Traffic Service) 등 안전 항해 및 편의를 제공하고 있다. 하지만, 아직까지 선박에 대한 안전시스템이 미비하고, 선박의 주요 설비를 실시간으로 관리하기 위한 안전 관리 시스템의 개발이 매우 필요한 시기라 할 수 있다. 지금까지 선박 연구에 있어서 안전을 극대화시키기 위한 노력은 많았으나 선박의 재질(철판) 및 밀폐환경에 의해 무선 통신(Wireless Communication)을 이용한 시스템 개발은 많이 이루어지고 있지 않은 상태이다. 본 논문은 선박 내의 전파 특성을 분석하여 무선 통신을 하기 위한 최적의 조건을 찾고, 유비쿼터스 기술을 적용한 지그비 네트워크 구성으로 선박 내 엔진관리를 위한 무선 센서 네트워크(Wireless Sensor Network)의 적용 가능성을 검증하였다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.35 no.5B
• /
• pp.794-800
• /
• 2010

It is necessary to accurate and efficient management for measured digital data from various sensors in digital marine vessel. It is not efficient that sensor network process input stream data of mass storage stored in database the same time. In this paper, We propose to improve the processing performance of multidimensional stream data continuous incoming from multiple sensor. We propose that we arrange some sensors (temperature, humidity, lighting, voice) and process query based on sliding window for efficient input stream and found multiple query plan to Mjoin method and we reduce stored data using SVM algorithm. We automatically delete that it isn't necessary to the data from the database and we used to ship diagnosis system for available data. As a result, we obtained to efficient result about 18.3% reduction rate of database using 35,912 data sets.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.48 no.3
• /
• pp.112-118
• /
• 2011

Ship can be faced with more dangerous situations than ground vehicles due to the opened surroundings, sea. Therefore, it is very important to prevent the ship emergency by finding risk factor. In this paper, We propose context-aware monitoring system which that frequently check the condition of ship using the data that get through the installed sensor in the ship as gyro-sensor, strain-gage sensor. We analyzed sensor data through backpropagation algorithm and the Condition and Safety Information of sailing ship is transmitted to the crew's personal mobile device in the ship. Thus, moving crew can check the ship's condition in real time. As a result, we obtained about 95% accuracy for fire risk context and about 89% accuracy for body of Ship risk context in the simulated experiments.