Siemens is combining all of its remote analytics and maintenance services on a single technological base. Customers will benefit from heightened performance and greater availability of their facilities, as well as from lower energy consumption, reduced costs, less risk, and improved safety and security.
From trains to turbines, a vast range of machines generate and transmit data every second. With a view to providing benefits for its customers, Siemens wants to extract even more valuable information from this data.
That’s why the company is consolidating these activities under the name Siemens Digital Services and has created an associated technology base called Sinalytics. It brings together all of the technological components needed for data integration and analysis, connectivity, and cyber security.
Sinalytics can securely connect to installed Siemens systems worldwide so that they can be remotely monitored and serviced. Cutting-edge analytical methods help Siemens experts predict and prevent faults, recognize opportunities for improving performance, and save energy and costs.
Finally, the analysis of huge and complex amounts of data enables the company to increase the availability and performance of its customers’ facilities and optimize maintenance intervals.
Sinalytics represents a big step on Siemens’ path to becoming a digital company. This combined with Siemens’ understanding of its customers’ needs and processes, enables even greater opportunities to optimize benefits for customers. In fiscal 2015, Siemens earned around €16 billion from its service business, with digital services accounting for €600 million of this amount.
How Predictive Maintenance Keeps Trains on Track
For the past decade, Siemens has been a pioneer in remote maintenance – with altogether more than 300,000 connected devices in almost all business areas, from traffic light controls to locomotives, CT scanners and gas and wind turbines. The major example is the Siemens’ Common Remote Service Platform (CRSP), which has now been integrated into the Sinalytics platform. One CRSP-example is is the remote maintenance of gas turbines.
This service tracks a turbine’s performance so precisely that it enables repairs to be initiated before a fault actually arises. Another service is Tubeguard, which was introduced in 2008. Tubeguard can reliably predict the end of an X-ray tube’s service life so that breakdowns can be prevented, thus making computer tomographs more economical.
Today, Sinalytics processes 17 terabytes of data per month. By way of comparison, in 2012 the platform processed three terabytes of data from 120,000 devices. Given this huge increase in data – and thus in actionable knowledge – with the new Sinalytics platform, predictive maintenanceis becoming even more important. Sinalytics’ refined analysis tools help customers reduce unscheduled downtimes and increase operating efficiency.
One of these customers is the Spanish railway company Renfe, which operates 26 Siemens Velaro E high-speed trains between Madrid and Barcelona as well as between Madrid and Malaga. Some 160 service employees work around the clock to maximize the availability of Renfe’s trains, a task for which they also use data analyses. As result of predictive maintenance, the punctuality rate of the Siemens trains has risen to as high as 99.9 percent. This high rate of availability enables Renfe to offer its customers a unique “money-back guarantee” that reimburses passengers for the entire ticket price if a train is late by 15 or more minutes.
Customers in Control
But digital services aren’t everything. Without the kind of deep understanding of products and processes that characterizes Siemens’ approach, a purely IT-based focus on service would not be able to generate the added value provided by Sinalytics. Whereas competitors focus on collecting as much information as possible at a central location, Siemens lets its customers decide where and how they want their data to be utilized.
Distributed analytics, which involves the pre-processing and analysis of data directly in local devices, will grow in importance. In the future, devices will make decisions on their own. “Customers want this, because their data often contains trade secrets,” says Matthias Goldstein, head of Siemens Corporate Technology’s Digitization Office.
Distributed analytics is also interesting for developments such as “Industrie 4.0”, where cyber physical systems produce individualized goods and independently reorganize themselves if a machine breaks down. Here, Sinalytics is closely networked with the Web of Systems, which is Siemens’ concept for the Internet of Things.
A few years from now, billions of devices will be connected to the Internet. Through the Web of Systems, Siemens is creating the basis for ensuring data security and making all of these devices reliable, secure, and durable.
A System that Spurs Innovation
One of Sinalytics’ key achievements is that it sets the stage for technological innovation. For example, instead of ordering a spare part from a warehouse, Sinalytics could, if a fault were imminent, send an order to a 3D printer located in the vicinity of a service technician or even directly to a customer location. But in order to open the door to this kind of flexibility, Siemens will have to be infused with digital expertise. Only then will it be able to exploit such potential in cooperation with its customers and extract maximum value added. “Sinalytics will help us overcome the challenges of the digital transformation for the benefit of our customers and ourselves,” concludes Goldstein.
Dr. Norbert Aschenbrenner
Dr. Johannes von Karczewski
Kontakt für Journalisten
Tel.: +49 (89) 636-33446
Bernd Müller | Siemens Pictures of the Future
Cutting edge research for the industries of tomorrow – DFKI and NICT expand cooperation
21.03.2017 | Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, DFKI
Molecular motor-powered biocomputers
20.03.2017 | Technische Universität Dresden
Astronomers from Bonn and Tautenburg in Thuringia (Germany) used the 100-m radio telescope at Effelsberg to observe several galaxy clusters. At the edges of these large accumulations of dark matter, stellar systems (galaxies), hot gas, and charged particles, they found magnetic fields that are exceptionally ordered over distances of many million light years. This makes them the most extended magnetic fields in the universe known so far.
The results will be published on March 22 in the journal „Astronomy & Astrophysics“.
Galaxy clusters are the largest gravitationally bound structures in the universe. With a typical extent of about 10 million light years, i.e. 100 times the...
Researchers at the Goethe University Frankfurt, together with partners from the University of Tübingen in Germany and Queen Mary University as well as Francis Crick Institute from London (UK) have developed a novel technology to decipher the secret ubiquitin code.
Ubiquitin is a small protein that can be linked to other cellular proteins, thereby controlling and modulating their functions. The attachment occurs in many...
In the eternal search for next generation high-efficiency solar cells and LEDs, scientists at Los Alamos National Laboratory and their partners are creating...
Silicon nanosheets are thin, two-dimensional layers with exceptional optoelectronic properties very similar to those of graphene. Albeit, the nanosheets are less stable. Now researchers at the Technical University of Munich (TUM) have, for the first time ever, produced a composite material combining silicon nanosheets and a polymer that is both UV-resistant and easy to process. This brings the scientists a significant step closer to industrial applications like flexible displays and photosensors.
Silicon nanosheets are thin, two-dimensional layers with exceptional optoelectronic properties very similar to those of graphene. Albeit, the nanosheets are...
Enzymes behave differently in a test tube compared with the molecular scrum of a living cell. Chemists from the University of Basel have now been able to simulate these confined natural conditions in artificial vesicles for the first time. As reported in the academic journal Small, the results are offering better insight into the development of nanoreactors and artificial organelles.
Enzymes behave differently in a test tube compared with the molecular scrum of a living cell. Chemists from the University of Basel have now been able to...
20.03.2017 | Event News
14.03.2017 | Event News
07.03.2017 | Event News
24.03.2017 | Materials Sciences
24.03.2017 | Physics and Astronomy
24.03.2017 | Physics and Astronomy