一种基于无人机的人防应急指挥调度方法及系统
By generating a three-dimensional disaster entropy map, dynamically partitioning and planning routes, adaptively switching communication links, and optimizing scheduling instructions, the problems of data lag and insufficient coverage in traditional disaster assessment and rescue have been solved, achieving efficient and safe emergency rescue.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SICHUAN ZHONGCHEN AVIATION TECHNOLOGY CO LTD
- Filing Date
- 2025-07-02
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional disaster assessment relies on manual reconnaissance, which suffers from data lag, limited coverage, and large subjective errors. Single drones lack the ability to integrate multi-source data and autonomous collaboration mechanisms. Command systems cannot dynamically adapt to sudden changes at the disaster site, communication links are easily interfered with, leading to command interruptions, and the efficiency of rescue force dispatch and route planning is low.
By fusing satellite, UAV, and ground data to generate a three-dimensional disaster entropy map, and dynamically partitioning based on entropy values and UAV capabilities, millimeter-wave radar and binocular vision navigation maps are constructed to achieve adaptive task area allocation and route planning, dynamically switch communication links, and optimize scheduling instructions using the GRU model and sparrow algorithm, forming a closed-loop system of perception-decision-execution.
It improved the accuracy of disaster quantification, the timeliness and safety of rescue, optimized the efficiency of resource allocation, improved navigation safety and rescue efficiency in complex environments, and reduced response time and resource consumption.
Smart Images
Figure CN120806481B_ABST