Case Study: Siemens optimizes train maintenance and capacity planning with Grafana

How Siemens Uses IoT Sensor Data and Grafana to Optimize Train Maintenance, Capacity, and More

Siemens Mobility needed a better way to turn massive volumes of IoT train sensor data into actionable insight for maintenance, HVAC monitoring, and passenger capacity planning. Working with Grafana Labs, the team used Grafana to bring together data scientists, domain experts, and engineers in an observability-driven environment.

Grafana helped Siemens visualize live train data quickly, set up intuitive alerts, and rapidly prototype, calibrate, test, and release new features for capacity planning and operations. The result was faster maintenance sequencing, improved collaboration across teams, and a more passenger-centric operation across a fleet of 500 trains generating millions of data points every day.

Siemens

Martin Klimmek

Head of Digital Development and Operations