智慧农业导刊2026，Vol.6Issue(15)：50-53,4.DOI:10.20028/j.zhnydk.2026.15.012
基于多源风险感知的稻虾共作区无人机巡检路径优化研究
范惊涛 1熊守丽 1朱锐1
作者信息
- 1. 长江大学文理学院 信息与机电工程学院,湖北 荆州 434020
- 折叠
摘要
Abstract
For the problem that risk distribution is spatially uneven in UAV inspection of rice-crayfish co-culture areas,and that standard coverage routes are difficult to bias observation resources toward high-risk locations near facilities,this paper proposes a multi-source risk modelling and adaptive revisit path planning method.The method uses the geometric locations of inlets/outlets,feeding points and aerators as facility priors to construct a distance-decay-based structural proximity risk layer,which is then fused with water-colour,vegetation,thermal anomaly and water-quality sensor anomaly layers to form a grid-level integrated risk map.On the basis of retaining the baseline coverage route,high-risk grids are converted into candidate revisit points and greedily inserted according to the benefit-cost ratio,so that limited additional flight distance is preferentially allocated to high-risk areas.Simulation results show that,with an increase of only about 0.51%in flight distance,the proposed method improves the high-risk grid coverage rate from 0.778 8 to 0.964 6 and the abnormality detection rate from 0.752 5 to 0.808 6,providing a reference for UAV inspection in rice-crayfish farms.关键词
无人机巡检/稻虾共作/多源风险建模/基础设施先验/自适应复飞/覆盖路径规划Key words
UAV inspection/rice-crayfish co-culture/multisource risk modelling/infrastructure prior/adaptive revisiting/coverage path planning分类
农业科技引用本文复制引用
范惊涛,熊守丽,朱锐..基于多源风险感知的稻虾共作区无人机巡检路径优化研究[J].智慧农业导刊,2026,6(15):50-53,4.
