Distributed, contextual, reliable, and secure data availability is the foundation of any digital transformation project in manufacturing.
The challenges of transforming to an Industry 4.0 enterprise data architecture can be:
- Integrating IIoT or Machine Learning solutions with legacy edge devices and OT systems such as PLCs, SCADA, asset condition monitoring systems, industrial data historians, and ERPs
- Developing and maintaining meta data ontologies across these data systems can be time consuming and a laborious task
- The lack of knowledge and resources required to scale to an enterprise level
illuminator™ ingests data streams from multiple edge and OT sources with the capability to support modern and legacy protocols. This low-latency, high availability data pipeline provides EcoStruxure users access to real-time contextualized data to build AI applications and serve as an OT data Lake.
Advanced users and data scientists can use illuminator™ for the contextual abstract data needed for machine learning tools and libraries of their choice.
Data Context Creation
Simple architecture combinations are possible, depending on
a) The level/layer of data sources
b) Cloud and/or on-premise deployments
c) Level of security isolation required for ISA99/IEC62344.