Rockwell Automation Technologies Incorporated

Michael Ohlsen

Kenneth Scott Plache

Ashish Anand

Matthew Robert Ericsson

Kyle K Reissner

Kevin W Peters

Douglas J Reichard

Daniel S DeYoung

Anthony Carrara

Lorenzo P Majewski

Adam J Gregory

Omar A Bahader

Justin Wengatz

Rahul P Patel

Fabiano Fernandes

Milosz Scelina

Matthew T Masarik

Elie Nader

An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.

Generative artificial intelligence industrial design code conversion

An industrial integrated development environment (IDE) supports collaborative tools that allow multiple designers and programmers to remotely submit design input to the same automation system project in parallel while maintaining project consistency. The industrial IDE also permits localized development of system projects, and provides an infrastructure for intelligently brokering between conflicting edits submitted to common portions of the system project. To facilitate effective collaboration via efficient communication between developers, the IDE system can be configured to send push notifications to personal client devices in response to relevant events originating within the development environment relating to development of an automation system project.

Notifications from an industrial automation development environment

Techniques to facilitate identification of industrial equipment using micro-location services in an industrial automation environment are disclosed herein. In at least one implementation, an identification signal is detected transmitted from a wireless transceiver associated with an asset of the industrial automation environment. The identification signal is processed to determine an identity of the asset. A level of proximity of the portable computing system to the wireless transceiver is detected. Information associated with the asset is retrieved based on the identity of the asset. The information associated with the asset is displayed on a display system of a computing system based on the level of proximity.

Identification of industrial equipment using micro-location services

Systems, methods, and software are disclosed herein for generating one or more personalized alarm notifications in an industrial environment. In an implementation, including a storage device and a processing system coupled together, with a mobile application stored on the storage device and having program instructions that, when executed by the processing system, direct the processing system render a configuration module through which to receive user input specifying notification criteria related to alarms in an industrial process environment, upload the notification criteria to an alarm service that receives the alarms from the industrial process environment, receive a notification from the alarm service associated with one or more of the alarms that satisfy the notification criteria, display the notification in a notification module, and in response to a user selection of the notification, download the one or more alarms.

System and method for personalized alarm notifications in an industrial automation environment

Techniques to facilitate communication between users in an industrial application associated with an industrial automation environment are disclosed herein. In at least one implementation, a graphical user interface (GUI) associated with the industrial application is displayed on a display system of the computing system. The computing system engages in a peer-to-peer communication session with a remote computing system, wherein the peer-to-peer communication session is displayed within the GUI of the industrial application. Industrial data associated with the industrial application is displayed within the peer-to-peer communication session.

Device-to-device communication in an industrial automation environment

Techniques to facilitate modular deployment for an application associated with an industrial automation environment are disclosed herein. In at least one implementation, module availability information is received for the application transmitted from an application module registry server. The module availability information for the application is displayed, and a selection of module data to install into the application is received, which is selected from the module availability information for the application. Responsive to the selection of the module data, the module data is retrieved from the application module registry server, and the module data is installed into the application.

Application module deployment

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Chesterland, OH, United States of America

Michael Ohlsen