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선박엔진성능분석용 웹기반 장기모니터링시스템 구현

Long-term Monitoring System for Ship's Engine Performance Analysis Based on the Web

  • Kwon, Hyuk-Joo (Electrical and Electronics Engineering, Korea Maritime and Ocean University) ;
  • Yang, Hyun-Suk (Electrical and Electronics Engineering, Korea Maritime and Ocean University) ;
  • Kim, Min-Kwon (Electrical and Electronics Engineering, Korea Maritime and Ocean University) ;
  • Lee, Sung-Geun (Division of Electrical and Electronics Engineering, Korea Maritime and Ocean University)
  • 투고 : 2015.02.24
  • 심사 : 2015.03.25
  • 발행 : 2015.05.31

초록

본 논문에서는 엔진유지관리 개선을 위해 Web 기반 선박엔진성능분석용 장기모니터링시스템을 구현하고자 한다. 이 시스템은 시뮬레이터, 다채널 A/D 변환기가 내장된 감시모듈, 모니터링 컴퓨터, 네트워크저장기(NAS), RS485 및 무선인터넷 통신시스템으로 구성된다. 기존 제품은 각 엔진마다 압력센서를 설치하고 이를 감시모듈에서 실시간으로 계측한 후 통신에 의해 현장 제어실 PC나 Web 상에서 모니터링이 가능하지만 많은 샘플링 압력데이터 용량으로 인해 통신전송속도가 느려지고, 장기모니터링에 오류가 발생할 수 있다. 이와 같은 문제점을 개선하기 위하여 본 논문에서는 각 실린더별 압력센서에서 받은 원본 압력데이터는 NAS에 저장하고, 원본 압력데이터를 구간별 다운샘플링을 하여 제어실에서 장기모니터링하고, Web에서의 장기모니터링을 위하여 다운샘플 데이터를 무선전송 한다. 제안한 방식에서는 전송량을 1/10로 하였으므로 작은 용량을 가진 메모리를 사용할 수 있고, 빠른 통신속도를 유지할 수 있어 통신비용이 절감되며, 화면전체에 약 30일간의 장기모니터링이 가능하여 엔진의 유지관리에 큰 기여를 할 수 있을 것으로 사료된다.

This paper implements a long-term monitoring system (LMS) for ship's engine performance analysis (SEPA) based on the web, for the purpose of the communication speed and engine maintenance. This system is composed of a simulator, monitoring module with a multi channel A/D converter, monitoring computer, network attached storage (NAS), RS485 serial and wireless internet communication system. The existing products monitor the information transmitted from pressure sensors installed in the upper parts of each of engines in the local or web computer, but have a delay in the communication speed and errors in long-term monitoring due to the large volume of sampling pressure data. To improve these problems, the monitoring computer saves the sampling pressure data received from the pressure sensors in NAS, monitors the long-term sampling data generated by the sectional down sampling method on a local computer, and transmits them to the web for long-term monitoring. Because this method has one tenth of the original sampling data, it will use memory with small capacity, save communication cost, monitor the long-term sampling data for 30 days, and as a result, make a great contribution to engine maintenance.

키워드

참고문헌

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