Rockwell Automation Technologies Incorporated

Paul David Schmirler

Thong T Nguyen

Alex Laurence Nicoll

Timothy T Duffy

David Alan Vasko

Kristopher J Holley

Susan J Lovas

Jingbo Liu

Calvin C Steinweg

Darrell Steven Filtz

Kevin E Colloton

Alvaro Sanchez

John M Van Hecke

Mark Bjerke

Steven James Litzau

Hannah M Schermerhorn

Timothy S Biernat

Robert H Schmidt

Kyle A Crum

Natalie A Tremblay

Louisa A Wood

A tangible, non-transitory, computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive user input indicative of a selection of a user experience of a plurality of user experiences. The plurality of user experiences include a first user experience associated with a first event that occurred in an industrial automation system at a first time prior to receiving the user input and a second user experience associated with a second event expected to occur in the industrial automation system at a second time after receiving the user input. When executed, the instructions also cause the processing circuitry to determine, based on the user input, output representative data associated with the industrial automation system and instruct an extended reality device to present the output representative data.

Systems and methods for providing time-based user experiences for an industrial automation system

A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive, from first sensors, first sensory datasets associated with an industrial automation system, receive, from second sensors, second sensory datasets associated with a machine configured to perform mechanical operations, determine a position of the machine relative to the industrial automation system based on the first sensory datasets and the second sensory datasets, determine output representative data associated with the industrial automation system based on the first sensory datasets and the second sensory datasets and in accordance with the position of the machine relative to the industrial automation system, instruct an extended reality device to present the output representative data, determine movement of components of the machine, and instruct the extended reality device to present feedback based on the movement of the components.

Systems and methods for providing context-based data to control a machine for an industrial automation system

A method may include receiving, via a processor, image data associated with a user's surrounding and generating, via the processor, a visualization that may include a virtual industrial automation device. The virtual industrial automation device may depict a virtual object within image data, and the virtual object may correspond to a physical industrial automation device. The method may include displaying, via the processor, the visualization via an electronic display and detecting, via the processor, a gesture in image data that may include the user's surrounding and the visualization. The gesture may be indicative of a request to move the virtual industrial automation device. The method may include tracking, via the processor, a user's movement, generating, via the processor, a visualization that may include an animation of the virtual industrial automation device moving based on the user's movement, and displaying, via the processor, the visualization via the electronic display.

Augmented reality interaction techniques

Various embodiments of the present technology relate to digital twins of devices and assemblies. More specifically, some embodiments relate to the orchestration of digital twin models for representing industrial systems based on characteristics of digital twins. In an embodiment, a method of operating an orchestration engine in an industrial automation environment comprises identifying a targeted outcome for modeling the industrial automation environment, configuring a digital twin environment corresponding to the industrial automation environment based at least on the targeted outcome, and executing a process associated with the industrial automation environment using the digital twin environment.

Digital twin outcome-driven orchestration

A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive sensory datasets associated with an industrial automation system from sensors, receive positioning data via an extended reality device associated with a user, determine a first virtual positioning of the user in a virtual coordinate system based on the positioning data, determine a second virtual positioning of an industrial automation system in the virtual coordinate system based on the sensory datasets, determine output representative data to be presented by the extended reality device based on the plurality of sensory datasets and in accordance to the first virtual positioning relative to the second virtual positioning, and instruct the extended reality device to present the output representative data.

Systems and methods for providing context-based data for an industrial automation system based on a virtual coordinate system

A tangible, non-transitory, computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive sensory datasets associated with an industrial automation system, determine context information based on a sensory dataset and representative of an environmental condition, predict an intent of a user to complete a task associated with the industrial automation system based on the sensory datasets and the context information, present first output representative data via an extended reality device based on the intent and a setting, the setting including a data presentation format for presenting the sensory datasets, receive inputs indicative of changes to the data presentation format, present second output representative data via the extended reality device in response to receiving the inputs, and update the setting based on the inputs and historical data indicative of users changing the data presentation format of the first output representative data.

Systems and methods for modifying context-based data provided for an industrial automation system

Techniques for employing augmented reality or virtual reality information are presented. An information management component (IMC) of an augmented reality device (ARD) can monitor and detect user activities and conditions in area in proximity to ARD. Based on user activities and conditions, IMC can determine augmented reality information that can enhance user experience, performance of user activities, or security and safety of user. IMC can present, via an interface component of ARD, the augmented reality information to the user. The augmented reality information can relate to user location; navigation by the user; tasks to be performed by the user; product assembly; maintenance work; system or product design or configuration; remote control of assembly, maintenance, design, or configuration; environmental and/or hazardous conditions; security, identification, and authentication of users; or training the user to perform tasks. IMC can translate information from a language to a different language of the user.

Methods, systems, apparatuses, and techniques for employing augmented reality and virtual reality

A tangible, non-transitory, computer-readable medium includes instructions. The instructions, when executed by processing circuitry, are configured to cause the processing circuitry to receive a plurality of sensory datasets associated with an industrial automation system from a plurality of sensors, categorize each sensory dataset of the plurality of sensory datasets into one or more sensory dataset categories of a plurality of sensory dataset categories, determine context information associated with the plurality of sensory datasets, the context information being representative of an environmental condition associated with an extended reality device, the industrial automation system, or both, determine a priority of each sensor dataset category of the plurality of sensory dataset categories based on the context information, determine output representative data to be presented by the extended reality device based on the plurality of sensory datasets and the priority, and instruct the extended reality device to present the output representative data.

Systems and methods for providing context-based data for an industrial automation system

A system includes a computing system configured to communicatively couple to a database configured to store a virtual coordinate system and a plurality of features associated with a representative environment associated with the virtual coordinate system. The computing system is configured to receive a first input indicative of a physical positioning of a user in a physical environment, determine a virtual positioning of the user in the virtual coordinate system based on the first input, receive a second input indicative of an updated physical positioning of the user in the physical environment, determine an updated virtual positioning of the user in the virtual coordinate system based on the second input, and output a first signal to a computing device in response to determining the updated virtual positioning of the user in the virtual coordinate system.

System and method to determine positioning in a virtual coordinate system

A non-transitory computer-readable medium includes computer-executable instructions that, when executed by at least one processor, are configured to cause the at least one processor to receive an inquiry from a training system, in which the inquiry includes a request for assistance to perform a first operation, retrieve a training profile for the first operation from a database based on the inquiry, and transmit the training profile to the training system, in which the training system is configured to present image data, audio data, or both regarding the first operation based on the training profile. The computer-executable instructions are also configured to cause the at least one processor to receive variant feedback from the training system, generate an updated training profile based on the variant feedback, store the updated training profile in the database.

System and method to generate training content based on audio and image feedback data

A system includes a training system configured to display first image data and a remote expert system configured to display second image data that corresponds to the first image data, receive feedback data associated with the second image data, and transmit a command to the training system based on the feedback data. The command is configured to modify the first image data presented via the training system.

System and method to modify training content presented by a training system based on feedback data

A system may include audio devices that output sound waves. The system also includes a control system having a processor. The control system may receive a first plurality of operation parameters associated with a plurality of components in an industrial automation system from one or more sensors. The control system may also determine a plurality of audio tones based on the plurality of operation parameters. Further still, the control system may send one or more control signals to one or more audio devices in response to detecting the plurality of operation parameters, wherein the one or more audio devices are configured to produce the plurality of audio tones in response to receiving of the one or more control signals.

Audio-based industrial automation control

A non-transitory computer-readable medium includes computer-executable instructions that, when executed by at least one processor, may cause the at least one processor to retrieve a first training profile of a plurality of training profiles from a database, identify a plurality of index keywords in a respective training content of the first training profile, in which the respective training content includes audio data, video data, or both, and divide the first training profile into a plurality of sections based on the plurality of index keywords. Each of the plurality of sections is selectable for playback.

System and method to index training content of a training system

A computer system for controlling an industrial automation environment comprising a plurality of industrial components is provided. The computer system includes a machine interface, a user interface, a hardware memory, and a processor. The processor is configured to select an industrial component for configuration based on a user input. The processor is also configured to determine a context of the selected industrial component and display a plurality of interface modules to the user for the selected industrial component based on the context of the selected industrial component. The processor is further configured to receive a selection of an interface module by the user through the user interface, and add the selected interface module to a human-machine interface.

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Glendale, WI, United States of America

Paul David Schmirler