Offshore wind energy is rapidly developing to accelerate the green transition. Each wind turbine is a massive autonomous structure containing high-tech and mission-critical systems that need real-time monitoring. One of the central challenges in this context is the efficient collection, real-time visualisation, and analysis of sensor data from these turbines.

This project involved the efficient real-time handling of sensor and weather data enabling continuous integrity monitoring of offshore wind turbines. We utilised Kafka, an event-driven, distributed, asynchronous messaging service, for streaming and real-time data processing.

The project is structured using containerised microservices, packaging Zookeeper, Kafka brokers, Kafka producers, and a Kafka consumer using Docker. Additionally, weather and wave data is retrieved from external REST APIs. The acquired data is stored in a cloud-based SQL database and visualised using Grafana.

More to come