Data Management System: a cross-sectorial IIoT solution for digitally enhanced quality
Article
Stefano Borgia, 02/04/2024
Seamless Integration
The integration of 4.0 tools and methods for ZDM into existing production environments faces big challenges in terms of data understanding, data reliability and data preparation for machinery and legacy systems. In this context, adequate support means that the data analyst does not need to have a technical background about the data sources in terms of data formats and structures. It should be possible to allow data analyses without knowing the details of the specific data sources.
The aim at achieving a seamless integration of data as valuable information for diagnostics and prognostics functional to ZDM and quality 4.0 has been addressed by DAT4.ZERO project with Data Management System (DMS) software solution developed by Holonix Srl.
Validation and demonstrations in various industrial sectors
DMS consists of an IIoT data-sharing infrastructure enabling automatic data collection, data integration for 4.0 frameworks (such as AI, analytics, digital twin) using interoperability methods, and communication among more software & hardware modules. Laying its foundations on a microservices-based architecture, it performs big-data management by providing capabilities for edge-based processing, long term time-based data storage and data streaming to support reactive data processing and application integration, ensuring the proper level of security.
End users of the project – i.e., the first adopters – have fully validated and demonstrated the proposed solution by deploying and adopting it in relation to data management needs in their own industrial sectors (automotive, machinery, manufacturing of customized microtubes and dental technology).
For further info about Data Management System, please write to stefano.borgia@holonix.it (Stefano Borgia, Holonix Srl).