Summary
A large solar PV farm wanted to reduce manual inspection effort and improve visibility into the condition of panels, structures and substations.
WiseVision delivered a solution that:
- Connected LoRaWAN sensors, inspection drones and ground robots via WiseOS
- Used MCP ROS2 to coordinate inspection missions and data collection
- Built a Digital Twin of the PV farm to test routes and procedures before live deployment
Stack Used
- WiseOS
- MCP ROS2
- Digital Twins (O3DE / Isaac Sim / Genesis)
- LoRaWAN
- ROS 2
Key Benefits
- Single telemetry and control fabric
- Repeatable inspection missions
- Historical logs in one place
- Safe experimentation using Digital Twin
Challenges
PV farm spread across a large area with limited connectivity in some zones
Manual inspections were time-consuming and difficult to standardize
Sensor data, drone imagery and robot telemetry were handled in separate systems
Changes to inspection routines were hard to test without disrupting operations
Solution
1. WiseOS – Operational Layer
WiseOS was deployed as the central operating layer:
- LoRaWAN sensors integrated via the WiseOS LoRaWAN↔ROS 2 bridge
- Drones and ground robots connected over ROS 2 with Zenoh-based transport
- Telemetry stored in the Data Black Box (InfluxDB)
2. MCP ROS2 – Mission Orchestration
MCP ROS2 provided tool-based access:
- List robots, sensors and available missions
- Pre-defined inspection workflows as MCP tools
- Launch drones, subscribe to feeds, log events
- Script missions without low-level glue code
3. Digital Twin – Validation
A Digital Twin using O3DE / Isaac Sim / Genesis:
- 3D layout of panel rows and substations
- Simulated robots and drones
- Integration with WiseOS and MCP ROS2
- End-to-end testing before live deployment
Architecture Overview
- LoRaWAN sensors → ChirpStack → WiseOS LoRaWAN bridge → ROS 2 topics
- Robots & drones → ROS 2 nodes → WiseOS (Zenoh transport, Data Black Box)
- MCP ROS2 server → exposes ROS 2 interfaces as MCP tools for operators/agents
- Digital Twin → subscribes to ROS 2 topics and interacts with MCP ROS2 for simulated missions
Outcomes
Illustrative outcomes for this type of deployment:
✅ Operational Efficiency
- More consistent inspection routines with repeatable missions
- Reduced time spent on manual walk-through inspections
✅ Better Traceability
- Historical telemetry and mission logs in one place
- Single unified stack for robotic inspections
✅ Risk Reduction
- Safer experimentation using the Digital Twin before live changes
- Test routes and procedures virtually first
✅ Scalability
- Reusable architecture across additional PV sites or wind farms
- Easy integration with third-party analytics
Next Steps
The same architecture can be extended to additional sites, wind farms, or integrated with advanced analytics and AI-based route planning