Railigent® – the application suite that leverages IoT and AI for rail assets
Railigent makes intelligent use of rail asset data to create added value. It empowers rail operators, maintainers, and asset owners to understand their railway data, generate valuable information, and acquire deeper insights about the performance of their assets. The analysis of the rail asset data provided by these apps leads to improved operation, optimized maintenance, higher cost-efficiency, and ultimately 100% availability of rolling stock and wayside assets.
How Railigent works, step by step
1. Capturing rail asset data
The journey toward deeper insight starts with the ability to capture asset data from rolling stock and signaling systems. This can be done in two ways: First, by obtaining operational and diagnostic data from the various control units in a safe and secure manner without compromising the existing homologation, and second, by installing connectivity solutions like sensors and measuring solutions, also using cameras and scanners in innovative vehicle equipment measurement systems.
2. Transmission of rail asset data
The next step in the journey is to transmit this valuable data to the cloud. This step may sound straightforward in today’s connected world, but rail systems have traditionally been designed as closed systems. Modern cellular communication technology and state-of-the-art security technology now allows data to be transmitted from rail assets in a safe, secure, and efficient manner.
3. Cloud-based processing of rail asset data
Railigent is a cloud-based solution that stores and processes asset data much more efficiently than on the edge, and for much longer periods. A cloud-based infrastructure is also always up to date, so there’s no need to deal with cumbersome IT system upgrades. However, raw asset data can be both voluminous and also somewhat faulty and incomplete. So a key step here is to correctly ingest, clean, and store the raw data.
4. Insight generation on an industrial scale
Now the next step: to examine and evaluate the stored asset data in order to generate insights. This can be done in various ways, from using basic aggregation algorithms to applying advanced business intelligence reporting engines. What really differentiates Railigent from other solutions on the market are our advanced industrial AI capabilities called Algorive® for creating, testing, and rolling out AI/ML (artificial intelligence/machine learning) applications. These applications can detect anomalies, predict failures, and even model future asset performance, costs, and risk to find the most appropriate improvement measures.
5. Sharing results and recommendations for actions
Data evaluation and deeper insights only generate real value if they reach a real person responsible for operations, maintenance, and asset management who can use these insights to make faster and better decisions. Railigent applies modern UI/UX methods and technologies to deliver the right insights to the right person at the right time. Wherever possible and meaningful, this also includes a remedy proposal or action recommendation to generate even more value for the user.
Higher reliability and availability – lower lifecycle costs and operational risk
Railigent offers great benefits for your rail asset management. Rail transportation becomes more efficient, reliable, and comfortable thanks to condition-based monitoring, data analysis, and predictive maintenance concepts. Co-creation using Siemens’ domain knowledge and our clients’ expertise allows for comprehensive asset management and customer proximity.
The added value of digital services can consist in bringing the knowledge from the past to gain insights for the present and the future.Dr. Steffen Schranil | Director Fleet Management | SBB Cargo International AG
The app for 100% fleet availability!Fleet Monitoring 5 is the central app for maintainers who want to remotely monitor the condition of their rolling stock assets and efficiently take actions. By providing easy access to data and an efficient workflow support, Fleet Monitoring 5 helps to increase reliability and availability as well as reduce service delays and maintenance costs.
Enabling remote condition monitoring and incident management
Today rolling stock assets send between about 1 and 4 bn data points per year. But how can we turn this data into actions to improve performance and costs?
As part of Railigent, Fleet Monitoring 5 provides tailored access to data and supports users to address their daily challenges. Helping to detect faults early, with Fleet Monitoring 5 a potentially required corrective measure can be turned from an unplanned event to a planned one. This reduces the impact on operations as well as the associated service delay. The reliability of the trains gets increased. By analyzing the fault remotely and while the train is still in operation, depot times can be shortened and the availability of the asset for operations increased. Requesting the work order via the integrated interface and by automating repetitive tasks, the efficiency of workflows gets improved, the overall maintenance costs reduced.
Partner ecosystem for the Railigent Application SuiteThis open partner ecosystem covers the entire digital services portfolio spectrum for the Railigent Application Suite. Our goal for Railigent and its partner ecosystem is tangible customer value. The integration of third-party applications from leading specialists in digital rail services and their combination with in-house applications results in even more comprehensive asset management. The flexibility to address basically any customer need is one of the biggest benefits – and opportunities – of the partner ecosystem. Railigent and its partner ecosystem is a core element of the Alliance for Availability.
The open partner ecosystem for best-in-class rail applications
Data analysis supplied by these apps enables optimized maintenance of fleets and infrastructures, more cost-efficient operations, and 100% system availability.
Railigent currently comprises 23 members: Argus Cyber Security, RazorSecure Ltd., BOOM Software, Dellner, DMA, Frauscher Sensonic, Ginkgo Management Consulting, HACON, igus, Knorr-Bremse, Menlo79, MPEC Technology, OXplus, Perpetuum, SKF, Sopra Steria Consulting, Strukton, Televic Rail, Uptime Engineering, voestalpine Signaling, Quest, Voith, and Wi-Tronix.