Smart Ship Engine Performance Monitoring Using Marine Digital Twin Model

To develop a digital twin of a marine ship engine system that monitors fuel consumption, engine temperature, vibration levels, and performance metrics. The system aims to optimize fuel efficiency, predict engine faults, and improve maritime operational reliability through simulation-based analytics.

Study marine propulsion systems and ship engine components.

Identify critical engine performance parameters.

Design a virtual 3D model of ship engine systems.

Simulate fuel consumption and vibration datasets.

Implement predictive fault detection algorithms.

Develop fuel optimization models using machine learning.

Create a dashboard for real-time monitoring.

Simulate extreme sea condition effects.

Analyze maintenance scheduling improvements.

Compare optimized vs traditional fuel usage.

Evaluate cost savings and downtime reduction.

Document technical architecture and performance metrics.

Prepare project report and system demonstration.