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OA

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.