基于无人机的船舶尾气智能检测系统设计  

Design of ship exhaust intelligent detection system based on UAV

作　　者：卓宏明 苗炳迪 徐鹏[1] Zhuo Hongming;Miao Bingdi;Xu Peng(Ship Engineering School,Zhejiang International Maritime College,Zhoushan 316021,China;Zhoushan shanneng UAV Application Technology Co.,Ltd.,Zhoushan 316021,China)

机构地区：[1]浙江国际海运职业技术学院,浙江舟山316021 [2]舟山山能无人机应用科技有限公司,浙江舟山316000

出　　处：《无线互联科技》2021年第6期53-55,共3页Wireless Internet Technology

基　　金：浙江省高等学校国内访问工程师校企合作项目;项目编号:FG2020310;舟山市科技局公益类科技项目;项目编号:2019C31063。

摘　　要：针对目前船舶尾气检测周期长、时效性差且效率低的问题,文章设计了一种采用船舶尾气遥感检测技术,利用无人机挂载气体检测设备,进行船舶尾气快速智能检测的系统。通过尾气中硫化物的含量,采用神经网络修正的反演算法间接检测出燃料油中的硫含量范围,从而提高了海事监管部门在船舶排放控制区监管的针对性和有效性,具有很好的应用价值。Aiming at the problems of long detection period,poor timeliness and low efficiency of ship exhaust gas,a fast and intelligent detection system of ship exhaust gas is designed by using remote sensing detection technology and UAV mounted gas detection equipment.Through the content of sulfide in the exhaust gas,the range of sulfur content in the fuel oil is indirectly detected by using the neural network modified inversion algorithm,so as to improve the pertinence and effectiveness of the maritime supervision department in the ship emission control area supervision,which has a good application value.

关 键 词：无人机 船舶尾气 检测系统 神经网络 物联网 

分 类 号：X84[环境科学与工程—环境工程]