My Rol: In collaboration with a tuna fishing industry expert, I designed, developed, and deployed this solution, incorporating a regression model for predictions and trend analysis. A programmer assisted with extracting the necessary data from the Escort TD-500 sensors
🎯 Overview
This project provides a 24/7 real-time monitoring solution for fuel loading and consumption on open-sea fishing vessels, accessible both on-board and remotely from shore. This system enhances operational efficiency, reduces fuel costs, and improves reporting accuracy for fishing fleets.
✨ Key Features
⛽ Real-Time Fuel Level Monitoring
- Machine learning integration
- Continuously monitors fuel levels in multiple tanks on each vessel
- Remote accessibility from shore-based locations
- Multi-tank monitoring capabilities
- Real-time data visualization
📊 Data Logging and Analysis
- Historical fuel data storage
- Trend analysis capabilities
- Consumption pattern identification
- Comprehensive reporting tools
🚨 Smart Alert System
- Low fuel level alerts
- Unusual consumption pattern detection
- Sensor malfunction warnings
- Secure data transmission protocols
🎮 Fleet Management
- Scalable architecture for multiple vessels
- Centralized monitoring dashboard
- Real-time fleet overview
- Remote management capabilities
🔧 Technical Architecture
On-Vessel Hardware
- Fuel level sensor Escort TD-500
- Industrial PC Terminal
Technologies Stack
- Backend: Python
- IoT Protocol: MQTT
- Cloud Platform: AWS Services
- Database: TimescaleDB & PostgreSQL
- Frontend: ODOO
📷 System Implementation
🚀 Future Enhancements
These client-requested enhancements will be integrated later this year:
🤖 Predictive Maintenance
- Equipment failure prediction
- Preventive maintenance scheduling
🗺️ Navigation Integration
- Offshore positioning integration (using StarLink service)
- Route optimization
📈 Advanced Analytics
- Custom reporting tools
- Cost analysis automation
📬 Contact Information
