Rockwell Automation Technologies Incorporated

Rockwell Software Inc.

Sujeet Chand

Kenwood H Hall

Michael D Kalan

Stephen C Briant

David W Farchmin

Gavan W Hood

John Joseph Baier

Richard Alan Morse

Douglas J Reichard

Rainer Hessmer

Joseph A Harkulich

Douglas C Lawson

Paul R D'Mura

Michael John Pantaleano

Arthur Paul Pietrzyk

Kenneth Andrew Tinnell

Joseph P Owen, Jr

Andreas Somogyi

David Alan Vasko

Taryl Jon Jasper

David Dale Brandt

Kenneth Scott Plache

Randall A Marquardt

Juergen K Weinhofer

Clifton Harold Bromley

Subbian Govindaraj

Bijan Sayyarrodsari

Edward Alan Hill

Joachim Thomsen

Daniel Baliey Seger

Kyle A Crum

Scott A Miller

Alex Laurence Nicoll

John Strohmenger

Vivek R Bapat

Salvatore T Conti

Brian J McMullen

Andrew J Ellis

Noel Henderson

Manuel Sukerman

David A Snyder

John B Dart

Ka H Lin

Timothy Patrick Boppre

Bruce E Hammon

Paul G Kucharski

Kevin E Colloton

Ka-Hing Lin

Danny L Carnahan

Timothy F Roback

Stephen C Braint

Juan L Asenjo

Arthur P Pietrzyk

Kenneth A Tinnel

Kenneth A Tinnell

Joseph P Owen

Jürgen K Weinhofer

Andrew James Ellis

Joseph Alan Kann

Jürgen Weinhofer

Daniel B Seger

Paul R D´Mura

Timothy P Boppre

Clifford J Whitehead

A cloud-based industrial data services (IDS) architecture leverage smart tags, asset models, and data service applications to facilitate secure transaction and exchange of contextualized factory data between different parties as part of a combined technology and commerce platform, or to perform provide asset owners with insights into operation of their industrial assets. The IDS platform supports a set of services that connect providers of smart industrial devices to plant floor and systems owned by the end users of these devices. The cloud-based platform allows asset providers to publish data service applications for purchase and use by end users of their assets, and allows equipment owners to control remote access to selected sets of their industrial data via the cloud platform.

Industrial data services platform

An industrial data broker system receives contextualized industrial data from one or more industrial devices that support data modeling at the device level. The received industrial data is augmented with contextualization metadata that defines correlations between the data relevant to an analytical objective, and labels specifying analytic topics to which each data item is relevant. The broker system allows external systems, such as analytic systems, to subscribe to topics of interest, and streams a subset of contextualized device data relevant to the topic of interest to the external system for analysis.

Artificial intelligence channel for industrial automation

A smart gateway platform leverages pre-defined industrial expertise to identify limited subsets of available industrial data deemed relevant to a desired business objective, and to collect and model this relevant data to apply useful constraints on subsequent artificial intelligence or machine learning analytics applied to the data. This approach can reduce the data space to which AI analytics are applied, and assist data analytic systems to more quickly derive valuable insights and business outcomes. In some embodiments, the smart gateway platform can operate within the context of a multi-level industrial analytic system, feeding pre-modeled data to one or more AI or machine learning systems executing on one or more different levels of an industrial enterprise.

Smart gateway platform for industrial internet of things

An industrial control programming development platform simplifies generation of an industrial control program and associated tag definitions by generating at least a portion of the control program and tag definitions based on analysis of digital engineering drawings of an automation system to be monitored and controlled. This drawing-based program generation includes creation and configuration of smart data tags that model and contextualize controller data at the device level for processing by higher level analytic systems. This device-level contextualization can be based in part on inferences drawn from the digital engineering drawings.

Industrial automation control program generation from computer-aided design

An industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be provided to higher level systems together with their corresponding data tag values to high level analytic systems, which discovers insights into an industrial process or machine based on analysis of the data and its modeling data.

Contextualization of industrial data at the device level

A cloud gateway for coupling an industrial system to a cloud platform is provided. The cloud gateway collects data from one or more industrial controllers, meters, sensors, or other devices comprising an industrial automation system. The cloud gateway optionally performs additional transformations on the data to add context, summarize, filter, reformat, and/or encrypt the data. The cloud gateway then sends data to a cloud platform for use by one or more cloud-based applications or services. The cloud gateway can facilitate cloud-based data collection from both fixed-location and mobile industrial systems. The cloud gateway can also support store-and-forward logic, allowing industrial data to be temporarily stored in local storage in the event that communication between the cloud gateway and the cloud platform is disrupted.

Cloud gateway for industrial automation information and control systems

A cloud-based operator interface system is provided that runs as a cloud service on a cloud platform. The cloud-based operator interface system collects industrial data from one or more industrial systems via respective cloud gateway devices. A set of predefined operator interface screens are stored on cloud storage associated with the operator interface system, and delivered to authorized Internet-capable client devices upon request. The industrial data received from the cloud gateways can be delivered to the client devices from the cloud platform via the operator interface screens. Additional cloud-side services can correlate and analyzes the industrial data on the cloud platform to facilitate additional reporting, alarming, and notification features.

Cloud-based operator interface for industrial automation

A cloud-aware smart device that facilitates automated configuration and integration of the device within an automation system is provided. Upon installation within the automation system, the smart device determines its geographical location, identifies other devices on the system, and determines its role within the system. The smart device then establishes communication with a cloud platform running one or more cloud-based applications or services and sends a device profile containing the gathered information to the cloud platform. The device profile can be used to automatically configure the device for operation within the system or to add the smart device to an existing cloud-based application.

Smart device for industrial automation

An industrial control system hardened against malicious activity monitors highly dynamic control data to develop a dynamic thumbprint that can be evaluated to detect deviations from normal behavior of a type that suggest tampering or other attacks. Evaluation of the dynamic thumbprint may employ a set of ranges defining normal operation and reflecting known patterns of interrelationship between dynamic variables.

Security system for industrial control infrastructure using dynamic signatures

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Brookfield, WI, United States of America

Sujeet Chand