illuminator for EcoStruxure™

Distributed, contextual, and secure data pipeline
Published by Quartic.ai
Starts at $2600

Features

  • Qnnect: Data Integration Architecture
  • OT Data Lake and Data Pipe
  • AssetHarbor: Data Abstraction and Context

Qnnect: Data Integration Architecture

  • 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.
  • Qlite™ can be deployed on Edge appliances from Advantech, Dell, HPE and stratus.
  • QPro™ can be deployed on appliances from Dell, HPE, Stratus or your Virtual Machines. Complete pre-configured appliances are also available from Quartic.ai
Qnnect: Data Integration Architecture

OT Data Lake and Data Pipe

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.

OT Data Lake and Data Pipe

AssetHarbor: 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 MetaTrainer™, 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.
  • AssetHarbor: Data Abstraction and Context
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