Ship risk early warning method and device, electronic equipment, medium and chip
By integrating multi-source data and mining related network risks, the problem of insufficient depth in ship compliance risk assessment in existing technologies has been solved, enabling comprehensive and intelligent risk early warning for ships, accurately identifying indirect risks, and improving the level of intelligence in shipping safety supervision.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- YIHAILAN (BEIJING) DATA TECH CO LTD
- Filing Date
- 2026-02-02
- Publication Date
- 2026-06-12
AI Technical Summary
Existing technologies are insufficient for identifying indirect risks arising from the ship's underlying equity structure, management relationships, and other hidden connections in ship trade compliance and risk assessment. This results in inadequate risk assessment depth and creates blind spots in risk control.
By integrating multi-source data such as static and dynamic data of ships, external lists, and geographic information, the standardized risk characteristics of the target ship are extracted, and its relationship network with external entities is explored. The risk value of the related entities is calculated, the risk contribution from the related entities to the target ship is quantified, and the relationship transmission risk characteristics are formed. Finally, the risk characteristics of the target ship are integrated with its own network risk characteristics to generate a comprehensive relationship risk characteristic.
It achieves proactive and intelligent risk warnings that go beyond the level of individual ship behavior, accurately identifies potential indirect risks, and improves the analytical depth of ship compliance risk identification and the level of intelligence in shipping safety supervision.
Smart Images

Figure CN122198607A_ABST