基于AIS和GIS数据融合的港口水域船舶航行风险分布计算及可视化方法及装置
By integrating AIS and GIS data, and combining dynamic feature extraction and adaptive risk diffusion mechanisms, we have achieved accurate assessment and visualization of navigation risks in port waters. This solves the problem of inaccurate risk assessment caused by the failure to consider the characteristics and uncertainties of restricted waters in existing technologies, and improves the scientificity and efficiency of port safety management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGDONG OCEAN UNIVERSITY
- Filing Date
- 2025-10-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies fail to effectively consider the characteristics of restricted waterways and the uncertainties caused by environmental and human factors during actual ship navigation risk assessment in port waters, resulting in inaccurate risk assessments.
By employing a method based on the fusion of AIS and GIS data, the method acquires ship AIS data for preprocessing, grid construction, risk assessment, and visualization. Combined with dynamic feature extraction, trajectory anomaly removal, and adaptive risk diffusion mechanisms, it achieves multi-dimensional modeling and dynamic fusion analysis of ship behavior and the aquatic environment.
It improves the accuracy and interpretability of vessel navigation risk assessment in port waters, supports risk-based risk management and intelligent scheduling, and provides efficient and scientific decision support for port safety management.
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Figure CN121390870B_ABST
Abstract
Citation Information
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