Siemens links data from the entire lifecycle of products and production, of information technology (IT) with its data analysis capabilities and operational technology (OT), and of the manufacturing level with the office level. This creates a continuous cycle for optimization. In this industrial Internet of Things, the industrial processes are modular and flexible, thus always enabling optimal adaptation of all lifecycle parameters. This also includes the factory buildings and the workflows of suppliers and logistics partners.
To ensure that data is transmitted quickly and reliably to the right place via high-performance communication networks and that all production areas can thus react immediately to changes, Siemens is continuing to drive forward cutting-edge technologies such as Industrial 5G. The ability to operate such private 5G networks enables companies to tailor them specifically to their performance, reliability, and security requirements. In Germany, companies also benefit from being able to use private 5G frequencies exclusively at their sites. As one of the key Hannover Messe exhibitors, Siemens will set up a prototype industrial 5G campus network in one of the exhibition halls. In the future, the network can be used by exhibitors during ongoing trade fairs and will be available to companies outside of trade fair times for tests and field trials.
With Industrial Edge, Siemens offers a concept in which customers can flexibly use the advantages of data processing by using edge or cloud computing, depending on the application. Siemens is also expanding its portfolio in edge computing for real-time analysis of data on-site in production and its intelligent use. In addition to the connection of Simatic and Sinumerik controllers to the Siemens Industrial Edge, the offering for the connection of drive technology is also being expanded. Drive technology is considered an important indicator of machine availability. In addition to impacting variables such as speed and torque, it also provides information for the use of edge computing as to whether the machine is running fault-free and at an optimum level within its parameters, for example in terms of energy consumption. Intelligent analysis technology can thus inform operators at an early stage when, for example, maintenance is due, or energy can be saved.