2 years ago

Having systems in place that can handle data from multiple sources and provide users with the tools they need to get work done is central to industrial IoT (IIoT) use cases. The following case study reveals the challenges the company faced and the solutions they iterated to create a stable, reliable IIoT platform and ecosystem.

Accessing real-time data is critical for TBM operators, but the Herrenknecht team also wanted their platform to handle historical data collected from TBMs over the past four decades.

For this, the Herrenknecht team used Microsoft Azure Cloud for storage and ran one InfluxDB container per TBM inside Kubernetes.

All the data processing and cleaning takes place at the edge, so only clean data is sent to the cloud.