Scalable analytics architecture for automation control systems

US10509396B2 · kind B2 · utility

Assignee

• Rockwell Automation Technologies, Inc. · US

Inventors

• Scott N. Sandler · Chagrin Falls, US
• John Dyck · Lethbridge, CA
• Michael John Pantaleano · Willoughby, US
• Edward Alan Hill · Chagrin Falls, US
• Ryan Cahalane · Chagrin Falls, US
• Nancy L. Burnham · Chagrin Falls, US
• Petr Ptacek · Bainbridge, US
• Eugene Liberman · Rocky River, US
• David W. Comeau · Chagrin Falls, US
• Jonathan Wise · Chardon, US
• Michael Keller · Haifa, IL

Key dates

• Filing date: May 31, 2017
• Grant date: Dec 17, 2019
• Expiry date: Aug 31, 2037

Classification

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

Abstract

A layered industrial analytics architecture enables the flow of information from intelligent assets into tools and engines that perform analytics and enable decision-making in substantially real-time. The analytics architecture comprises analytic nodes that are distributed across multiple layers of an industrial enterprise, and includes system features that optimize movement of data across this layered architecture. Each analytic node includes base architectural constructs that host various analytic, data acquisition, and storage elements. These base constructs can operate autonomously, or in conjunction with other instances of base constructs or other elements of the control system. The system design uses a multi-platform compatible implementation that allows the base elements to be deployed on various different computing platforms.