港口航道与近海工程2024，Vol.61Issue(1)：93-98,6.DOI:10.16403/j.cnki.ggjs20240118
内河船舶尾气监测的多无人机路径规划研究
Research and Planning on Multiple UAV Paths for Monitoring Exhaust Emissions of Inland Waterway Vessels
摘要
Abstract
Due to big difference in price between high and low sulfur fuel,the use of high sulfur fuel for inland waterway vessels still got out of line,which brought great challenges to the supervision and prevention by relevant departments.In order to reduce the effect of exhaust emissions generated by inland waterway vessels on air quality,it was necessary to apply non-contact sampling in fuel quality detection.Thus a multiple UAV path planning(MUPP)model was built for monitoring the exhaust emissions of inland waterway vessels,and a two-phase algorithm(TPA)based on K-means++ plus SAGA was proposed for solution.The results show that TPA method supports reasonable and even allocation of monitoring assignments under different conditions,which lays theoretical basis for the establishment of UAV monitoring system.关键词
无人机路径规划/内河船舶尾气排放监测/移动目标旅行商/K-means++Key words
UAV path planning/monitoring of exhaust emissions of inland waterway vessels/Moving Target Traveling Salesman/K-means++分类
交通工程引用本文复制引用
王广生,孙祎峥,孙海军,鱼童,张铖,周云鹏..内河船舶尾气监测的多无人机路径规划研究[J].港口航道与近海工程,2024,61(1):93-98,6.基金项目
国家重点研发计划(2021YFB2600203) （2021YFB2600203）
