Selective online and offline access to searchable industrial automation data

US10545492B2 · kind B2 · utility

Assignee

• Rockwell Automation Technologies, Inc. · US

Inventors

• Sharon M. Billi-Duran · Euclid, US
• Christopher W. Como · Chagrin Falls, US
• Edward A. Gray · North Olmsted, US
• Kyle K. Reissner · Hudson, US
• Jonathan D. Walter · Broadview Heights, US
• Mohit Singhai · Lyndhurst, US
• Douglas J. Reichard · Fairview Park, US
• Scott N. Sandler · Chagrin Falls, US
• Ronald E. Bliss · Twinsburg, US
• Michael John Pantaleano · Willoughby, US
• Ryan Cahalane · Chagrin Falls, US
• Jessica L. Korpela · Milwaukee, US
• Bruce T. McCleave, Jr. · Mission Viejo, US

Key dates

• Filing date: Dec 27, 2016
• Grant date: Jan 28, 2020
• Expiry date: Jun 27, 2037

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02P90/80
• WIPO field: Control
• WIPO sector: Instruments

Abstract

An industrial data indexing system facilitates discovery and indexing of plant-wide data residing on multiple different data platforms. The indexing system automatically inventories industrial devices and other data sources located throughout a plant, and identifies available data items on each data source. The indexing system indexes the discovered data items in a federated data model that can subsequently be searched to locate data items or tags of interest. The federated data model records references to data items found on different types of data sources, including but not limited to industrial controller programs, human-machine interface applications, data historians, device documentation stores, inventory tracking systems, and other such data sources. The search system also caches selected portions of the data model to a user's personal device to allow these portion of the model to be accessed locally on the user's device without being online with the higher level indexing system.