Maritime Digital Twin

Dynamic ship/port twin enabling scenario testing, ESG reporting, and predictive maintenance.

Overview

Maritime Digital Twin builds a real-time virtual representation of vessels and ports using sensor data, operational logs, and satellite inputs. It enables predictive maintenance, scenario simulation, and compliance tracking, advancing operational efficiency and environmental responsibility.

Overview

Objectives

Focused goals of the research

Predictive Maintenance

Forecasts equipment failures using sensor data and alerts for proactive servicing.

ESG Reporting

Tracks emissions, energy use, and sustainability metrics across the fleet.

Scenario Testing

Simulates 'what-if' port and voyage scenarios to assess performance and risks.

Methodology

Step-by-step approach driving our exploration

1

Sensor fusion from AIS, LIDAR, and onboard IoT

2

Digital twin modeling using graph-based entity mapping

3

Predictive modeling with LSTM and XGBoost

4

ESG data tagging via machine learning pipelines

5

Simulation of operational scenarios and failure states

Applications

Where our research is making an impact

Ship Lifecycle Management

Digital twin tracks wear, maintenance history, and next service due across vessel subsystems.

Port Optimization

Simulates traffic flow, berth allocation, and crane timing to reduce idle time and congestion.

Compliance Monitoring

Continuously evaluates operational data for regulatory deviations and auto-generates ESG reports.

Collaborators & Partners

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Findings & Insights

Predictive maintenance models reduced unplanned downtime by 40%.

Emission tracking modules aligned with EU MRV and IMO DCS standards.

Virtual testing of port layouts led to a 15% reduction in turnaround time.

Digital twins enabled dry-dock planning 3 months in advance based on risk signals.

Scenario testing improved preparedness for oil spill and cyberattack simulations.

Publications & Citations

Graph-Driven Maritime Digital Twins – IEEE OCEANS 2025

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Predictive Maintenance via LSTM Twins – ACM eEnergy 2024

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ESG-Aware Twin Modeling – Transport Research Arena 2023

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Hybrid Twins for Port Optimization – Smart Maritime Tech 2022

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