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IoT-Driven Predictive Maintenance: Siemens' Real-Time Data Solution
Technology Category
- Infrastructure as a Service (IaaS) - Hybrid Cloud
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Railway & Metro
- Transportation
Applicable Functions
- Logistics & Transportation
- Maintenance
Use Cases
- Predictive Maintenance
- Vehicle-to-Infrastructure
Services
- Cloud Planning, Design & Implementation Services
- Training
The Challenge
Across Europe, billions of Euros are being invested in upgrading rail infrastructure with the aim of carrying more passengers, on more trains, more regularly, with on-time arrival, at a lower cost. Siemens, a leader in engineering solutions for the rail industry, is at the forefront of this transformation. The company uses data collected from over 300 sensors on each train, combined with historical data, to predict when components might fail. This IoT-driven approach, dubbed the 'Internet of Trains', ensures greater uptime for train operators, fewer delays for passengers, and more cost-effective maintenance. However, the challenge for Siemens lies not in the collection, but in the storage, management, and analytics of this vast variety of data. Furthermore, as an international company, Siemens must ensure that the data is stored according to local laws in the most cost-effective way possible.
The Customer
Siemens AG
About The Customer
Siemens AG, based in Berlin and Munich, is a technology company focused on industry, infrastructure, transport, and healthcare. The company is committed to creating more resource-efficient factories, resilient supply chains, smarter buildings and grids, cleaner and more comfortable transportation, and advanced healthcare. Siemens is a leader in engineering solutions for the rail industry, offering a wide range of systems and services for signaling, control, and communication for main line, metro, and light rail. The company is the first to provide digitalization in rail transport and to operate a special data analytics center, led by Siemens Mobility Data Services.
The Solution
To address these challenges, Siemens partnered with Teradata and Equinix. Teradata, a provider of business analytics solutions, data and analytics solutions, and hybrid cloud products and services, helped Siemens unite varied and multiple silos of data and extract valuable insights. Equinix, on the other hand, enabled Teradata to directly and securely interconnect to leading network and cloud providers for greater performance at a lower cost. By deploying on Platform Equinix®, Siemens re-architected its IT service management infrastructure for a digital edge by integrating digital and cloud technologies, while optimizing automation, improving reliability, and boosting performance. The Teradata Analytics Platform provides an exceptional range of analytic tools and capabilities to evaluate the combined IoT data from different perspectives in near real time. It can predict engine problems and identify failed elements that triggered the malfunction of other components as much as three days in advance of the problem.
Operational Impact
Quantitative Benefit
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