内河船舶能效在线监测系统的混合压缩策略设计  

Design of Inland Ship Energy Efficiency Online Monitoring System Based on Hybrid Compression Strategy

作　　者：李杰[1] 张华玉 金华标[1] 莫司丞 LI Jie;ZHANG Hua-yu;JIN Hua-biao;MO Si-cheng(School of Naval Architecture,Ocean and Energy Power Engineering,Wuhan University of Technology,Wuhan 430063,China;Wuhan Branch of China Classification Society,Wuhan 430022,China;Ferry Management Department of Hainan Railway Co Ltd,Haikou 570106,China)

机构地区：[1]武汉理工大学船海与能源动力工程学院,武汉430063 [2]中国船级社武汉分社,武汉430022 [3]海南铁路有限公司轮渡管理部,海口570106

出　　处：《武汉理工大学学报》2022年第4期30-35,共6页Journal of Wuhan University of Technology

基　　金：绿色智能内河船舶创新专项(工信部装函[2019]358号).

摘　　要：为了实现对内河船舶能效的实时监测,运用船舶RT-EEOI指数计算船舶实时能效,结合嵌入式开发与4G通信技术,设计了船舶能效远程在线监测系统;并针对系统中船岸通信成本高、传输数据量大的问题,设计出数据混合压缩的方法,通过对传输数据重要性等级的分类,运用LZW无损压缩算法处理重要性等级高的数据,运用有损压缩算法处理重要性等级较低的数据,实现对无线传输数据的轻量化处理。结果表明,文中提出的压缩策略减少了系统80%的数据传输量。In order to realize the real-time monitoring of the energy efficiency of inland ships,the real-time energy efficiency of ships is calculated by using the RT-EEOI index of ships,and the remote online monitoring system of ship energy efficiency is designed by combining embedded development and 4G communication technology.Aiming at the problem of high cost of ship-shore communication and large amount of data transmission in the system,a method of data hybrid compression is designed.Through the classification of the importance level of the transmitted data,the LZW lossless compression algorithm is used to process the data with high importance level,and the lossy compression algorithm is used to process the data with low importance level,so as to realize the lightweight processing of wireless transmission data.Experimental results show that the proposed compression strategy reduces 80% of the data transmission.

关 键 词：船舶能效 监测系统 有损压缩 LZW无损压缩 

分 类 号：U665.26[交通运输工程—船舶及航道工程]