First, we analyzed the client’s monitoring and process solutions, control systems, and devices, and then designed and developed an Azure IoT-based automated solution. We built a system architecture that met client requirements for security, compliance, performance, availability, and disaster recovery.

The solution also supported a range of new IoT devices, and included connectivity options, device provisioning, telemetry data transport and storage, access management, and communication from device-to-cloud and cloud-to-device.

We used Microsoft Azure Event Hubs for real-time telemetry data collection from stationary and remote devices. Azure Stream Analytics service processes data flows through the Azure IoT Hub, then takes real-time actions or moves them to an Azure Data Lake, which stores historical data in an optimized format for reporting, machine learning, and analytics.

Bing Maps lets users see asset locations in real time, share GPS coordinates, and generate routes to assets with multiple stops to make performing maintenance easier for technicians. Azure Active Directory keeps the app secure and adheres to FRC employee user authentication policies.