一种多尺度的自主船舶适航风险传播路径辨识与控制方法
By establishing an ontology model of autonomous vessel seaworthiness risk and converting it into a Bayesian network, the propagation path of seaworthiness risk of autonomous vessels is dynamically evaluated, which solves the problem of seaworthiness decline of autonomous vessels under dynamic control conditions and realizes efficient and safe operation and continuous seaworthiness assessment of autonomous vessels.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DALIAN MARITIME UNIVERSITY
- Filing Date
- 2026-04-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are insufficient to effectively identify and control the propagation path and amplification effect of seaworthiness risks during the operation of autonomous vessels, leading to a decline in their seaworthiness under dynamic and distributed control conditions and failing to ensure the efficient and safe operation of autonomous vessels under different operating modes.
A multi-scale method for identifying and controlling the propagation path of seaworthiness risks for autonomous ships is adopted. An ontology model of seaworthiness risks for autonomous ships is established through ontology theory, a structural equation model is constructed and converted into a Bayesian network, and the propagation path and key nodes of seaworthiness risks are dynamically evaluated to generate a hierarchical control strategy.
It enables the structured expression and dynamic assessment of seaworthiness risks of autonomous vessels, identifies key risk propagation paths and nodes, provides technical support for the design optimization, operational decision-making and supervision of autonomous vessels, and improves the continuous seaworthiness and safety of autonomous vessels.
Smart Images
Figure CN122132759B_ABST