Rockwell Automation Technologies Incorporated

Rockwell Automation, Inc.

Scott N Sandler

Michael John Pantaleano

Ryan Cahalane

Douglas J Reichard

Jessica Lin Korpela

Ronald Eric Bliss

Jonathan D Walter

Christopher Wayne Como

Kyle K Reissner

Bruce T McCleave, Jr

Edward Anthony Gray

Mohit Singhai

Sharon M Billi-Duran

Sharon M Billi

Stephen C Briant

Edward Alan Hill

Joachim Thomsen

John Dyck

Ashish Anand

Daniel Baliey Seger

Eugene Liberman

Douglas B Weber

Michael Robert Keller

David Wayne Comeau

Jonathan M Wise

Noel Henderson

Petr Ptacek

Manuel Sukerman

Clifford J Whitehead, Jr

Timothy S Biernat

Nancy Lynn Burnham

Zdenek Kodejs

Damon R Purvis

Vojtech Sipek

William J Gibson

Gregory S Wilcox

Vijayant Kaura

Mohit Shinghai

Techniques to facilitate communication between remote industrial assets are disclosed herein. In at least one implementation, a computing system provides a virtual private network (VPN) service for an industrial automation network of an industrial automation enterprise. The computing system communicates with a first gateway system to establish a first connection between a first industrial asset and the VPN service for the industrial automation network. The computing system also communicates with a second gateway system to establish a second connection between a second industrial asset and the VPN service for the industrial automation network, wherein the second industrial asset is located at a disparate location than the first industrial asset. Bi-directional communications are routed between the first industrial asset and the second industrial asset to enable interactions between the first industrial asset and the second industrial asset as if they were directly connected over a same local communication network.

Remote line integration

An industrial data presentation system leverages structured data types defined on industrial devices to generate and deliver meaningful presentations of industrial data. Industrial devices are configured to support structured data types referred to as basic information data types (BIDTs) comprising a finite set of structured information data types, including a rate data type, a state data type, an odometer data type, and an event data type. The BIDTs are discoverable by a gateway device on which models of industrial assets can be defined, where the models reference the BIDTs defined on the industrial devices. The gateway device can retrieve industrial data from the data tags, formatted in accordance with the data types and associated user-defined metadata specific to the respective data types. The gateway device or a separate application server system can then generate graphical presentations of the industrial data in accordance with the model and the metadata.

Industrial automation information contextualization method and system

Techniques to facilitate visualization of an application associated with an industrial automation environment are disclosed. In at least one implementation, a display composer interface is presented that enables a user to design a customized display layout for the application associated with the industrial automation environment. Data display instructions are received comprising a user selection of at least one data item associated with an operation of a machine in the industrial automation environment. Position information that identifies where to display the at least one data item is also received. The data display instructions and the position information are processed to generate the customized display layout for the application. Based on the customized display layout, a graphical user interface is rendered to the application having the at least one data item positioned according to the position information.

User interface widget modeling and placement

The subject matter disclosed herein relates generally to industrial automation systems, and, more particularly, to collecting video streams from a variety of video devices in an industrial environment, identifying and analyzing potential problems in the industrial environment using the video streams, and presenting the video streams and data associated with the potential problem to appropriate recipients.

Analyzing video streams in an industrial environment to identify potential problems and select recipients for a display of video streams related to the potential problems

A multi-platform industrial search system facilitates indexing and searching of plant-wide data residing on multiple different data platforms. The industrial search system automatically inventories industrial devices and other data sources located throughout a plant, and identifies available data items on each data source. The search 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 can also initiate automated searches of the federated data model in response to detected performance issues and deliver notifications and contextual information to plant personnel.

Dynamic search engine for an industrial environment

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.

Scalable analytics architecture for automation control systems

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.

Selective online and offline access to searchable industrial automation data

A multi-platform industrial search and notification system performs automated and manually initiate information searches across multiple disparate industrial data platforms. The search system is built on a search platform that unifies plant-wide control system information from multiple diverse sources under a common namespace, or federated data model. The system can monitor this federated data model for conditions that may warrant attention by plant personnel, and deliver proactive notifications and operational data to selected users via their personal devices. The system can customize presentation of this data based on the user's role, location, and/or other contextual information. To this end, the system can automatically generate user-specific and context-specific dashboards, widgets, or other visualizations, and render these custom visualizations to the user at appropriate times.

Automated creation of industrial dashboards and widgets

An industrial workflow tracking and identification system captures optimal employee workflows for addressing maintenance issues or operating industrial systems, and renders these workflows at appropriate times in order to guide operators and maintenance personnel through optimal sequences for carrying out operations or addressing maintenance issues. The system monitors and indexes both plant-wide system data as well as employee behaviors, and identifies correlations between operational outcomes and user workflows. In this way, the system tracks and captures optimal employee workflows for addressing particular maintenance issues, performing certain procedures, or achieving preferred production outcomes. By identifying and recording correlations between observed employee behaviors and production outcomes, the system creates a library of best practices that can be used as a training tool, as well as to provide substantially real-time guidance to maintenance staff and operators in connection with solving a problem or performing a task.

Workflow tracking and identification using an industrial monitoring system

A industrial visualization system generates augmented reality presentations for rendering on a user's wearable computer as the user traverses an industrial facility. The system can leverage data indexed in a federated data model that unifies plant-wide data from multiple diverse sources under a common namespace. By leveraging the unified plant data and interacting with a wearable computer worn by a user, the augmented reality presentation system provides automation system data, notifications, and proactive guidance to a user via modification of the user's view of his or her immediate surroundings. Such modifications can include superimposing data values or indicators on the user's view of a machine or automation system through the user's wearable computer. The system can customize presentation of this information based on the user's role, location, line of sight, type of wearable device, and/or other contextual information.

Augmented reality presentation of an industrial environment

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Chagrin Falls, OH, United States of America

Scott N Sandler