Siemens Introduces Expanded Digital Enterprise Portfolio for Next Stage of Digital Transformation | impeller.net
With its digital enterprise, Siemens is taking a new step in the digital transformation – on the way to highly flexible modular production.
The integration of cutting-edge technologies into the Digital Enterprise portfolio enables flexible and intelligent production. (Image source: Siemens Aktiengesellschaft)
Siemens presents many innovations for the discrete and process industries as well as for energy and building infrastructure. The integration of advanced technologies such as edge computing and cloud computing, artificial intelligence or additive manufacturing into the portfolio offers users new opportunities to achieve more flexible and intelligent production. Communication networking via industrial 5G plays a key role.
This year’s product innovations include the Sitrans MS Multisensor, which is primarily used for condition monitoring of mechanical plant components such as pumps, compressors, gears and valves. Through AI-based analysis of sensor data such as vibration and temperature, important information can be generated for predictive maintenance. User can access machine KPIs and status messages through mobile devices or cloud applications. Siemens is also presenting four applications for the closed-loop digital twin. They can be used to exchange data back and forth between Teamcenter, Tecnomatix Plant Simulation, Amesim and MindSphere for continuous improvement of the quality of physical models and simulations. Another new product presented by Siemens is an innovative IoT gateway between cloud, internal IT and production: Simatic IOT2050 will offer edge functionality in the future, which means that it can be easily integrated into Siemens Industrial solutions. Edge.
In the area of ââdrive technology, a solution demonstrates how high-frequency data can be processed near the machine in the future. Connecting Sinamics frequency converters to an Edge device allows machine and application users to perform complex analysis of the data already collected in the drive. Machine learning algorithms identify patterns and detect anomalies and their causes, providing early indications of required maintenance, which minimizes downtime. In the area of ââAI-based services, Siemens also introduces âpredictive services for the foundryâ, which allow users to increase the overall efficiency of factories in the automotive sector.
In order to increase the efficiency of industrial energy supply and energy consumption, a connected ecosystem of power grids, buildings and industries is needed. At the Hanover Fair, Siemens presents solutions for the interaction between smart grids and consumers, as well as IoT-based systems and services for energy and building infrastructure in the digital factory.