Unified Modeling Language for Geospatial & PNT Data 

At the Geo-Intel Lab, we apply Unified Modeling Language (UML) to conceptualize, design, and optimize geospatial workflows and PNT (Positioning, Navigation, and Timing) systems. UML helps us bridge the gap between spatial datasets, technical systems, and end-user applications—ensuring that every project is designed with clarity, consistency, and interoperability.

Why UML for Geospatial & PNT?

• Data Standardization: Clearly models complex spatial and PNT relationships (e.g., coordinates, sensor input, tracking paths).

• System Design: Defines architecture for apps like indoor navigation, digital twins, and real-time dashboards.

• Workflow Integration: Aligns sensor data, GNSS modules, GIS layers, and user interfaces in a seamless flow.

• Interoperability: Supports development of OGC-compliant systems through modular component design.

Where We Use UML:

• Digital Twin Architectures (e.g., campus infrastructure, tourism circuits)

• Indoor Positioning Systems (IPS)

• Geospatial Dashboards (Air quality, traffic, water resources)

• Tourism Mapping Applications

• NaVIC-based Tracking Systems

• Underground Utility Detection Tools (GPR + GPS)

UML Diagram Examples in Our Projects:

• Use Case Diagrams: For tourism apps, visualizing how tourists, admins, and guides interact with the map and data.

• Class Diagrams: To model data classes like LocationPoint, SensorData, RoutePath, POI, etc.

• Activity Diagrams: To define workflows, e.g., data collection → preprocessing → analytics → visualization.

• Sequence Diagrams: To describe interactions between GNSS receivers, correction servers, and UI modules.

Standards and Integration

We align our UML modeling with:

• OGC standards for GIS data interoperability

• ISO 19100 series for geospatial metadata and services

• PNT metadata standards from ISRO and international PNT consortia

Collaborate With Us

We welcome collaboration with governments, startups, academic institutions, and private organizations to build region-specific applications using our core framework. The platform is flexible, field-tested, and ready for scale.