These support all tasks from the acquisition of plant data, storage, visualization, processing and analysis, to the implementation of actions based on the knowledge gained. The respective platform providers provide software components which can be supplemented by individual applications.
The development of our own systems, which would have to map the complete process flow from data acquisition by sensors, data storage, visualization, data evaluation, data security to the programming of intelligent systems and machine controls, is opposed to this. The heterogeneous nature of the tasks alone makes the implementation of all functions extremely complex and time-consuming.
For this very reason, the potential of industrial platforms is very high and companies can particularly benefit from two points:. Since many customers already use Siemens products in their manufacturing environments, we would like to take a closer look at the MindSphere - IoT platform from Siemens, present a concrete case study and demonstrate the extensive application possibilities.
MindSphere is provided as a "Platform as a Service" environment and can be adapted to the multitude of application cases and required functional scopes through appropriate extensions and individual developments.
The system enables any machine data to be recorded, stored and made available and processed in self-developed applications. Different frameworks e. Java, Python can be used. In MindSphere, the connection of networked systems is located in the so-called southbound. Through the North - the Northbound, on the other hand, it is also possible to integrate applications tailored to the specific application, in addition to Siemens' own apps.
