The cloud-based, open Industrial IoT platform
MindSphere is the leading IoT-as-a-Service solution that uses advanced analytics and AI to implement IoT solutions from edge to cloud.
The conversion of industrial IoT data into meaningful information for companies is in reality not an invariably standardized process.
With open standards and robust APIs, MindSphere enables its developers to create applications that meet a wide range of business requirements. This means that data can be linked and exchanged with little effort and with numerous products.
"Industrial IoT-as-a-Service"
MindSphere, the industrial IoT-as-a-Service solution from Siemens, enables industries worldwide to connect their machines and physical infrastructure to the digital world easily, quickly and cost-effectively. Leveraging data from virtually any number of networked intelligent devices, enterprise systems, and federated sources enables real-time analysis of operational data. This analysis then leads to optimized processes, resource and productivity gains, the development of new business models and the reduction of operating and maintenance costs. Companies that use MindSphere increase performance, strengthen their competitive advantage and achieve more profitability.
MindConnect at IIoT
With the MindConnect IIoT extension, practically any IIoT-capable asset from any manufacturer can be connected to MindSphere. Numerous field protocols are supported by default, along with a wide range of hardware connectivity agents to fill the gap for other protocols. In addition, the MindConnect API enables the programming of customer- or application-specific connectivity agents by interacting with the standardized APIs of MindSphere. The API for connectivity facilitates the secure and efficient transfer of data from assets to MindSphere.
MindConnect according to ERP and MES
In addition to asset connectivity, the MindConnect integration option offers the ability to connect multiple data systems to MindSphere, including Enterprise Resource Planning (ERP), Manufacturing Execution System (MES), and Supervisory Control and Data Acquisition (SCADA) systems. With browser-based tools for the graphical configuration of the data value assignment, users can set up flexible integration in order to bring company systems both in the cloud and on site into a context with MindSphere.
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Photo By: John DoeButton
Numerous services round off the MindSphere portfolio:
- Solution Services
- Gateway Services
- IIoT Services
- Analytic Services:
KPI Calculations
Detection of Anomalies
Event Analysis
Signal calculations
Signal validations
Trend-Forecasts - MindConnect Edge Services
- Developer und Partner Services
How to Achieve Continuous Improvement in Manufacturing with Asset Performance Management [EN]
Asset performance management is the set of tools and processes used by manufacturers to drive continuous machine performance improvements.
MindSphere - Das cloudbasierte, offene IoT-Betriebssystem [DE]
Every machine and every system in your company supplies an abundance of data whose information content and benefits have not yet been fully exploited. MindSphere is an IoT operating system that provides a secure and scalable end-to-end industrial solution for the connectivity of products, plants and machines, unlocking your company’s data potential in the Internet of Things.
MindSphere - The industrial IoT as a service solution [EN]
Every machine and every system in your company supplies an abundance of data whose information content and benefits have not yet been fully exploited. MindSphere is an IoT operating system that provides a secure and scalable end-to-end industrial solution for the connectivity of products, plants and machines, unlocking your company’s data potential in the Internet of Things.
MindSphere - Enabling the world’s industries to drive their digital transformations [EN]
Becoming a digital enterprise in the manufacturing industry means taking advantage of the industrial Internet of Things (IIoT) to centrally collect, analyze and visualize all data across products, plants, systems and machines. . IIoT leads to transparent and optimized operations, gains in productivity, reduced risk and the development of new business models with the implementation of condition monitoring, predictive/prescriptive maintenance, asset performance management, inventory management and complete digital twins – precise digital models of products and production operation.
