信息通信技术与政策2026，Vol.52Issue(4)：53-63,11.DOI:10.12267/j.issn.2096-5931.2026.04.007
面向低空应急救援的多维态势感知与无人机集群智能协同管控技术研究
Research on multi-dimensional situational awareness and intelligent collaborative control technology for UAV swarms in low-altitude emergency rescue
张恩皖 1张其强 2戴明艳 1徐航 1何文豪1
作者信息
- 1. 中国移动通信集团安徽有限公司,合肥 230088
- 2. 中移(上海)信息通信科技有限公司,上海 200131
- 折叠
摘要
Abstract
Targeting the challenges of complex and volatile environments,difficulties in multi-Unmanned Aerial Vehicle(UAV)coordination,and insufficient dynamic risk avoidance in low-altitude emergency rescue,An intelligent collaborative control technology based on multi-dimensional situational awareness is proposed.By constructing a heterogeneous information fusion model based on dynamic bayesian networks,airborne sensor data and external spatio-temporal situational data are mapped into a 3D dynamic risk map.On this basis,a risk-coupled multi-agent reinforcement learning scheduling strategy and an adaptive path planning method are designed,to integrate real-time risk quantification into the decision-making and planning loop.Field experiments demonstrate that this method significantly improves the perception accuracy of hidden dynamic risks,increases mission success rate,shortens obstacle-avoidance response time and overall mission completion time,and reduces risk exposure duration in complex environments,thereby providing technical support for safe and efficient low-altitude emergency rescue systems.关键词
低空应急救援/多维态势感知/无人机集群/智能协同管控/动态贝叶斯网络Key words
low-altitude emergency rescue/multidimensional situational awareness/UAV swarm/intelligent collaborative control/dynamic bayesian network分类
信息技术与安全科学引用本文复制引用
张恩皖,张其强,戴明艳,徐航,何文豪..面向低空应急救援的多维态势感知与无人机集群智能协同管控技术研究[J].信息通信技术与政策,2026,52(4):53-63,11.
