An operational technology data lake that provides IIoT, OT, MES and ERP data in dynamic context to applications in Quartic Intelligence Engine.
Democratize your data
illuminator helps you build and manage an OT data lake that provides IIoT, OT, MES, and ERP data in dynamic context to applications in Quartic Intelligence Engine.
For advanced users, it also provides a fully integrated contextual data pipe to build AI applications with tools and libraries of their choice.
Data Integration Architecture
Qnnect™ is a complete, distributed edge and fog, hardware agnostic, software system for IIoT.
Edge Gateways (Qlite™) connect to sensor networks, PLC’s, and other edge devices using legacy and modern protocols. Fog nodes (QPro™) connect to multiple QLites to create a scalable, layered architecture aligned at each ISA95 level. QRelays™ may be used between levels to comply with ISA99/IEC62443 zones. Endpoint security and data encryption provide an additional layer of security. Distributed storage and compute allow execution of machine learning on Fog and Edge nodes.
Edge Gateways can be deployed on edge appliances from Advantech, Dell, HPE and stratus. Fog Nodes can be deployed on appliances from Dell, HPE, Stratus or your Virtual Machines. Complete pre-configured appliances are also available from Quartic.ai
OT Data Lake and Data Pipe
illuminator™ ingests data streams from multiple sources and protocols for a common reference.
This low-latency, high availability publish-subscribe data pipe provides access to real-time abstracted to build AI applications with eXponence™ and serves as an OT data lake.
Advanced users and data scientists can connect with illuminator, for contextual abstract data types to use machine learning tools and libraries of their choice and eliminate data integration needs to speed up deployment. Connectivity with illuminator is possible using Kafka Pub-Sub, illuminator API, or SDK.
Data Abstraction and Context
For a single process unit, site or the enterprise, AssetHarbor™ provides continuous extraction of context from multiple data streams.
Process operation, both batch and continuous are abstracted in the context of an asset. The illuminator data pipe then allows publish-subscribe access to the attributes of asset objects for building smart applications. Intelligence and insights created using Project Builder, Reckon™ or external applications is added to the asset objects using extensible attributes. The reference data models can be custom, asset-oriented standards such as ISO14224 or manufacturing oriented such as ISA95.