A method and system for modular assembly task planning of an offshore vessel-bridge under dynamic sea conditions
By optimizing hierarchical task networks, four-dimensional spatiotemporal grids, and the NSGA-III algorithm, the environmental adaptability and multi-objective conflict problems of modular assembly of offshore pontoon bridges under dynamic sea conditions were solved, achieving safe and efficient task planning and execution.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI ZHONGCHUAN SDT-NERC CO LTD
- Filing Date
- 2026-06-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot effectively couple environmental data under dynamic sea conditions, resulting in a disconnect between the modular assembly scheme of offshore pontoon bridges and the actual operating environment. They are unable to cope with the dynamic uncertainties of time-varying sea conditions and it is difficult to balance assembly speed and safety, which can easily lead to accidents such as module collisions and connector damage.
A hierarchical task network (HTN) is used for task atomization decomposition. Combined with a four-dimensional spatiotemporal grid and a stability entropy evaluation function, the task sequence is optimized using the NSGA-III algorithm. The dynamic regret value is monitored in real time to trigger local replanning, thereby achieving dynamic adaptability and safety in task planning.
It enables safe and efficient assembly without module collisions or connector damage under dynamic sea conditions, shortens the overall project duration, improves operational robustness and time and space utilization, and is suitable for the automated assembly of large modular facilities.
Smart Images
Figure CN122414740A_ABST