Ship Fuel Usage Monitoring System Based on Big Data Technoloy

Yi ran Shi; Liang xiong Dong

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Paper

Ship Fuel Usage Monitoring System Based on Big Data Technoloy

In Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials ICIMM - Volume 1, 246-250, 2018 , Guangzhou, China

Authors: Yi ran Shi and Liang xiong Dong

Affiliation: ZheJiang Ocean University, China

Keyword(s): Big data; Ship fuel consumption; Self-network.

Abstract: In order to meet the compulsory requirements of IMO on fuel consumption data recorded by ships, the monitoring parameter set based on ship oil-engine-environment system was analyzed in this paper and a fuel consumption monitoring system based on big data technology was established. In this paper, the factors affecting the fuel consumption of marine power plant and navigation environment are discussed, it presents the monitoring modes of instantaneous fuel consumption, displacement fuel consumption and average fuel consumption of ships, then uses zigbee technology to build a monitoring network with adaptive function and designs a method of network formation and transformation and an algorithm of network time synchronization.

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Paper citation in several formats:

Shi, Y. and Dong, L. (2019). Ship Fuel Usage Monitoring System Based on Big Data Technoloy. In Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - ICIMM; ISBN 978-989-758-345-2, SciTePress, pages 246-250. DOI: 10.5220/0007529902460250

@conference{icimm19,
author={Yi ran Shi. and Liang xiong Dong.},
title={Ship Fuel Usage Monitoring System Based on Big Data Technoloy},
booktitle={Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - ICIMM},
year={2019},
pages={246-250},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007529902460250},
isbn={978-989-758-345-2},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - ICIMM
TI - Ship Fuel Usage Monitoring System Based on Big Data Technoloy
SN - 978-989-758-345-2
AU - Shi, Y.
AU - Dong, L.
PY - 2019
SP - 246
EP - 250
DO - 10.5220/0007529902460250
PB - SciTePress