Initiative from Simus Systems
Data management for digital twins as a service
Simus Systems is launching the "Interoperable data for the digital twin" initiative for companies that want to make their data fit for the digital twin. The service includes a data check in a pilot phase, individual optimization workshops and quality assurance. The Simus Classmate software suite provides the tools for this.
The visions of Industry 4.0 focus on the "digital twin", the digital image of a physical object. Digital twins consist of complex data, the quality of which is crucial to their usefulness. They represent components, assemblies, systems or even complete products such as machine tools, automobiles or production plants and develop their benefits through data exchange with real or digital counterparts. For this interaction to succeed, interoperable data must be created in accordance with applicable standards.
Digital data standards
Such a standard has been established with the Asset Administration Shell since 2023: This enables companies to create practice-ready administration shells for digital twins. An administration shell provides a consistently standardized structuring of model components and interfaces. This enables cross-manufacturer data exchange. The Manufacturing-X initiative, which is funded by the German Federal Ministry for Economic Affairs and Energy, aims to use its standard to enable the Industry 4.0 data space and the transformation to a digitally networked industry across the board, so that companies can even use data across the entire production and supply chain.
Prepare data based on rules
Companies that want to benefit from these data exchange standards must comprehensively prepare their databases. This is where the Simus Systems initiative comes in: In a pilot project, relevant sample data from the customer is analysed and common goals for cleansing, standardization and structuring are developed. These are then refined and implemented in subsequent workshops with the responsible functional areas. Simus Systems uses tools from the Simus Classmate software suite to efficiently process large volumes of data according to customizable rules.
The relevant data from the affected systems is thus processed, sorted and enriched. The resulting interoperable data complies with the new standards and spurs the creation, exchange and analysis of digital twins.
Data governance ensures interoperability
Finally, rules for company-wide data governance are defined. The company receives methods and tools to ensure the data quality achieved in the long term. From the technical search engine for the entire company to a binding material master system process, everything has been thought of to ensure that digital twins develop the greatest benefit in data exchange.
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