多因素影响下的船舶燃油含硫量移动检测技术  

Mobile Detection Technology of Sulfur Content in Marine Fuel under Influence of Multiple Factors

作　　者：杨源远 高泽宇 姜兴家[1] 张跃文[1] 孙培廷[1] YANG Yuanyuan;GAO Zeyu;JIANG Xingjia;ZHANG Yuewen;SUN Peiting(Marine Engineering College,Dalian Maritime University,Dalian 116026,Liaoning,China)

机构地区：[1]大连海事大学轮机工程学院,辽宁大连116026

出　　处：《船舶工程》2022年第10期80-85,共6页Ship Engineering

基　　金：高技术船舶科研资助项目(MC-201712-C07)。

摘　　要：针对船舶燃油含硫量无人机移动检测技术在实船应用时未考虑环境因素的影响而导致检测误差较大的问题,文章提出了基于硫嗅探模型的无人机检测技术,并在实验室环境研究了实船缩尺模型下海上环境风速、无人机采样点位置和燃油含硫量3个因素对检测精度的影响。结果表明:在保证采集数据信噪比良好时,船舶燃油含硫量的高低对检测精度几乎没有影响。同时得出了在3级~4级风和4 m~10 m采样点范围内可获得较准确的检测结果,误差能够控制在10%以内,对移动检测技术在实船上的应用具有一定的指导意义。To solve the problems that the mobile detection technology of unmanned aerial vehicle(UAV)for sulfur content of fuel oil does not consider the influence of environmental factors, which can cause poor detection accuracy, a UAV detection technology based on sulfur sniffing model is proposed, and the influence of wind speed in marine environment, sampling point position of UAV and sulfur content in fuel oil on the detection accuracy under laboratory environment is studied. The results show that the sulfur content of ship fuel has little influence on the detection accuracy when the signal-to-noise ratio of the collected data is good. Meanwhile, it is concluded that the more accurate detection results could be obtained in the range of 3 to 4 wind and 4 m to 10 m sampling point, and the error could be controlled within 10%, which can guide the application of mobile detection technology in real ships.

关 键 词：船舶燃油含硫量 无人机检测 硫嗅探技术 绿色船舶 

分 类 号：X84[环境科学与工程—环境工程] U677[交通运输工程—船舶及航道工程]