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MindSphere Basics

See how the basic concepts of MindSphere work together to help you reach your target.

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The data you bring into MindSphere comes from your site & things. These data points come from sensors on your local machines or field devices, which are connected to the Programmable Logic Controller (PLC) which collects your specific data points. The hardware or software-based gateway collects data from all connected PLCs and sends your predefined data to MindSphere.

Agent Asset, the digital representation of your gateway sends your data to your data model. In the data model you see your virtual assets which represent your local setup of your physical machines.

You can read and write your data to MindSphere APIs & Services, trough Out of the box Apps or Custom built Apps & Solutions from Siemens or 3rd parties; and System Tools. These applications perform analysis, create dashboards, and fulfill your important use cases.

Your solutions and apps can also use different ingestible data sources, such as enterprise systems, edge applications or data which is available on the cloud. These can be ingested in MindSphere via different possibilities directly into the Integrated Data Lake. Data Integration and Management allows the data to be managed and analyzed the same way as the data from your devices.

MindSphere offers customers a variety of hosting options:

  • MindSphere public cloud versions: Azure, Amazon Web Services (AWS), Alibaba.

  • MindSphere for Private Cloud (LPC): For customers who want to use their own data center. These customs have to install their own infrastructure services, such as RedHat, OpenShift or Rancher, which reside on top of MindSphere.

  • MindSphere Cloud Dedicated (VPC): Allows customers to install MindSphere on an already existing HyperScaler Account, such as AWS or Azure.

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Except where otherwise noted, content on this site is licensed under the MindSphere Development License Agreement.


Last update: October 6, 2022