The maritime sector is undergoing a digital transformation, driven by IMO 2020 regulations, increasing automation, and the imperative for supply chain resilience. As global trade expands, vessels are becoming larger and faster, intensifying the need for advanced safety protocols and predictive analytics. This technology aligns with the industry's shift towards data-driven decision-making, offering a critical tool to mitigate risks, optimize operational efficiency, and meet stringent environmental and safety standards in an increasingly volatile climate.
Estimates hull motion with high precision by integrating vessel, weather, anchor, and seabed data, dramatically reducing anchor dragging risk in rough weather.
Ensures safe operations in rough weather by accurately predicting anchor dragging risk under severe conditions, enhancing operational safety and continuity.
Provides data-driven objective assessment, eliminating reliance on skilled crew experience and enabling consistent, high-level safety management.
This patent protects a program and system for high-precision anchor dragging risk assessment and avoidance, specifically covering the integration of diverse data (vessel, weather, anchor, seabed) and the application of equations of motion to estimate hull movement and anchor chain tension. Its 17 claims broadly and clearly define the technical scope, demonstrating robust protection against prior art.
This patent primarily focuses on anchor dragging risk assessment. White space exists in developing real-time autonomous dynamic positioning systems that do not rely on anchoring, or in integrating predictive maintenance for mooring equipment itself.
Assuming a potential annual damage of ~$1.5M (AI est.) from anchor dragging incidents for large cargo vessels, this technology could reduce anchor dragging risk by 60% (company estimate), leading to an estimated annual cost reduction of ~$800K (AI est.). This includes avoiding repair costs, operational downtime losses, optimizing insurance premiums, and mitigating environmental liability risks. High-precision prediction also enables reductions in unnecessary waiting times and fuel consumption, improving operational efficiency.
X: Anchor Dragging Risk Reduction
Y: Operational Planning Optimization