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Case Studies

Real-world scenarios where WiseOS, AI Agents and Digital Twins replace ad-hoc integrations with a reusable, production-ready stack.

How it works: From first sensor to fleet deployment - one platform to connect, simulate and control. Connect with WiseOS, control via MCP ROS2, validate in Digital Twins.

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Success Stories

⚡ Autonomous PV Farm Inspection

Challenge: Manual inspection of large-scale solar installations was time-consuming and missed early signs of panel degradation.

Solution: Unified LoRaWAN sensors, inspection drones, and ground robots under WiseOS with Digital Twin validation.

Technologies Used:
  • WiseOS orchestration platform
  • MCP ROS2 for robot coordination
  • Digital Twin for route validation
  • Zenoh for low-latency transport

Key Outcomes

✓
Faster inspection cycles
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Reduced operational costs
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Better area coverage
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Earlier fault detection
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🏭 Multi-Vendor AMR Fleet Unification

Challenge: Different AMR vendors required separate tools, making fleet-wide optimization and policy testing difficult.

Solution: Deployed MCP ROS2 as a vendor-neutral interface with a warehouse Digital Twin for safe route validation.

Technologies Used:
  • WiseOS platform with MCP ROS2
  • Vendor-neutral robot control
  • Warehouse Digital Twin
  • Real-time fleet coordination

Key Outcomes

✓
Improved efficiency
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Lower integration costs
✓
Enhanced safety
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Simpler tool management
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🏙️ Smart City Infrastructure Monitoring

Challenge: City-wide sensor networks detected infrastructure issues, but coordinating inspection assets was manual and slow.

Solution: Integrated LoRaWAN sensors with event-driven drone inspections via MCP ROS2 and Digital Twin incident replay.

Technologies Used:
  • MCP ROS2 communication
  • Event-driven drone dispatch
  • Digital Twin simulation
  • LoRaWAN sensor integration

Key Outcomes

✓
Faster response times
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Expanded coverage
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Better cost efficiency
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Improved prevention
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🌾 Field Monitoring with Sensors & Drones

Challenge: Large agricultural areas needed cost-effective monitoring, with targeted inspections only where sensor data indicated issues.

Solution: Combined LoRaWAN soil/weather sensors with drone verification flights coordinated through MCP ROS2 and field zone Digital Twin.

Technologies Used:
  • MCP ROS2 communication
  • Autonomous drone coordination
  • LoRaWAN sensor networks
  • Digital Twin field modeling

Key Outcomes

✓
Better resource use
✓
Improved coverage
✓
Lower costs
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Earlier issue detection
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Implementation Methodology

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Discovery & Assessment

Comprehensive analysis of current operations, challenges, and robotics opportunities.

  • Process audit and analysis
  • ROI potential assessment
  • Technical requirements review
  • Custom solution design
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Implementation & Integration

Seamless deployment with minimal disruption to existing operations.

  • Phased implementation approach
  • System integration and testing
  • Staff training and onboarding
  • Performance optimization
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Optimization & Support

Continuous monitoring, optimization, and support to maximize ROI.

  • Performance monitoring
  • Continuous optimization
  • 24/7 technical support
  • Regular system updates

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