计算机与数字工程2025，Vol.53Issue(10)：2977-2985,9.DOI:10.3969/j.issn.1672-9722.2025.10.052
无人机机载船舶燃油硫含量监测方法研究
Research on UAV-based Monitoring Method of Sulfur Content of Ship Fuel Oil
CHEN Zhiguo 1QI Liang 1TANG Runkang 1LIU Hao 1SHI Jiayu 1YE Shuxia1
作者信息
- 1. School of Automation,Jiangsu University of Science and Technology,Zhenjiang 212100
- 折叠
摘要
Abstract
In order to effectively monitor the sulfur content of ship fuel in real time,a UAV-based marine fuel sulfur content monitoring system is designed.In this paper,an optimized sniffing method based on SMA-BP neural network is proposed.The STM32 single-chip microcomputer is used as monitoring module,combined with the flight control module of PX4 and ROS,to pre-pare the hardware environment for the fuel sulfur content monitoring experiment of UAV airborne ships.The experimental results show that the measured sulfur content value and the true standard deviation of SMA-BP optimization compensation are 0.06%,which has better accuracy than the traditional sniffing method and the traditional BP neural network optimized sniffing method.This monitoring system is a good testament to the reliability of this monitoring system.关键词
无人机/STM32单片机/嗅探法/SMA-BP神经网络Key words
UAV/STM32 MCU/sniffing method/SMA-BP neural networks分类
信息技术与安全科学引用本文复制引用
CHEN Zhiguo,QI Liang,TANG Runkang,LIU Hao,SHI Jiayu,YE Shuxia..无人机机载船舶燃油硫含量监测方法研究[J].计算机与数字工程,2025,53(10):2977-2985,9.
