Challenges
- Traditional data warehousing solution is unable to analyze historical data and present the real-time insights
- The client wanted a secure and independent data acquisition architecture that can collect, store, and process large amounts of data coming from any kind of device in the power plants
Solutions
- Created energy monitoring and operations optimization platform for the client’s 6000+ renewable power plant locations, integrated to 5m+ devices and streaming
- Developed Lambda architecture to support historical data store and Real-time data acquisition
- Moved from data acquisition and wind generators to data push by wind generators model
Tools & Technologies
Microsoft Azure IoT Hub, Azure Service Fabric, SQL, Azure Stream Analytics, Azure Service Bus
Key benefits
- Enabled client to visualize real-time monitoring without accessing the database
- Replaced expensive servers with IoT hardware
- Reduced network operation costs for handling VPN connections and No complex setup for data acquisition via VPN
- Workload for read/write operations was reduced by establishing queues
- Asynchronous model allows for temporary storage of the data without putting more pressure on the already busy databases
