Advanced geospatial analytics platform for ROV missions, transforming raw telemetry into actionable subsea engineering intelligence.
👉 https://rov-geospatial-intelligence-platform.streamlit.app/
👉 https://github.com/igorkiadev-cpu/rov-geospatial-intelligence-platform
The Geospatial Intelligence Platform (GIP) processes and visualizes telemetry data from Remotely Operated Vehicles (ROVs), enabling engineers to extract operational insights from complex subsea environments.
The platform goes beyond visualization by integrating anomaly detection, trajectory analysis, and spatial intelligence to support offshore decision-making.
- 🗺️ 2D geospatial mapping of ROV missions
- 🌐 3D subsea trajectory visualization
- 🧭 Route tracking and spatial analysis
- 🧠 Real-time anomaly detection
- 🔥 Intensity-based anomaly classification
- 📍 Critical subsea zone identification
- 🌡️ Heatmap of operational risk
- 📊 Mission KPIs (distance, depth, anomalies)
- Upload ROV mission CSV data
- Data is cleaned and standardized
- Depth patterns and anomalies are detected
- Spatial analysis identifies critical subsea zones
- Results are visualized through interactive dashboards
latitude,longitude,depth,timestamp
-22.4000,-40.0000,120,2024-01-01 10:00:00
- Python
- Pandas
- NumPy
- Plotly
- Streamlit
- Subsea pipeline inspection
- Offshore engineering analysis
- ROV mission performance optimization
- Risk detection in subsea operations
- Environmental and geospatial data exploration
- Automated mission report generation (PDF)
- Multi-mission comparison
- Real-time data ingestion
- Machine learning-based anomaly prediction
Igor Carvalho
Geospatial Data | Subsea Analytics | Offshore Intelligence
MIT License