一种基于合成孔径声呐的无人船与有缆水下机器人协同海底目标搜寻路径规划方法及系统
By constructing a hierarchical digital twin platform and adaptive path planning, the problems of dynamic management and communication instability of the USV-ROV collaborative system in complex marine environments were solved, and efficient and safe seabed target search was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI MYBRO TECH CO LTD
- Filing Date
- 2026-03-24
- Publication Date
- 2026-07-17
AI Technical Summary
Existing USV-ROV collaborative systems suffer from problems such as poor dynamic management of umbilical cables, unstable communication, rigid path planning, and weak response to sudden failures in complex marine environments. These issues result in high operating costs, significant personnel risks, inefficient cable management, rigid path planning, and low exploration efficiency.
A hierarchical digital twin platform is constructed, including an L1 prior information layer, an L2 dynamic environment layer, and an L3 real-time detection and collaboration layer. An adaptive path planning strategy and cable-tube collaborative control are adopted, combined with synthetic aperture sonar for real-time imaging and target recognition, to achieve seamless switching and multi-source data fusion.
It significantly improves the efficiency, accuracy, and environmental adaptability of seabed target search operations, reduces the risk of cable stress, and ensures operational continuity and system intelligence.
Smart Images
Figure CN121900487B_ABST