Honeywell International Inc.

Rahul Chandra Nath

Graeme Laycock

David Ross Nixon

Alicia C Kempf

Mark Bertinetti

An industrial automation system that allows for communication between an operator and a processing unit, which includes contextual information, such as data, and retrieval of historical messages, for a processing unit when abnormal operational conditions are encountered, resulting in faster responses and more complete information to address the abnormal condition.

System for operator messages with contextual data and navigation

Methods and systems for the delivery of interactive messaging and instructions through an augmented reality device in a batch production or a sequential operation, can involve displaying a menu through a user interface associated with an augmented reality device configured with a scope of responsibility awareness that allows the augmented reality device to display a visualization of batch production data associated with a batch production or sequential operation data associated with a sequential operation that is within an assigned scope of responsibility of a user, and graphically expanding the menu in response to an input by the user. The expanded menu can include graphically displayed buttons that allow the user to select and view the batch production data or the sequential operation data. The visualization of the batch production data or the sequential operation data can be displayed without the need for an operator station.

Augmented reality interactive messages and instructions for batch manufacturing and procedural operations

A system and method are provided for recording and then displaying comments containing recommended actions to take in response to abnormal conditions arising during process operations. The comments can be ranked by an operator based on their success in remedying abnormal conditions with the highest ranked actions displayed first.

Predictive troubleshooting for abnormal plant operations

A computing system for receiving operational data including process parameters generated by sensors in a plant. An analysis engine uses the operational data to automatically provide a first listing of worst performing process parameters, that when a selected poor performing process parameter is chosen generates a ranked filtered view of equipment parameters for associated processing equipment that may be affected by the selected poor performing parameter and a filtered view of recommendations for recognizing action(s) to fix the associated processing equipment and/or the selected poor performing process parameter, and/or a second listing of worst performing processing equipment that when a selected poor performing processing equipment is chosen generates a ranked filtered view of suspected process parameters that may be affected by the selected poor performing processing equipment along with a filtered view of recommendations for recognizing action(s) to fix the selected poor performing processing equipment and the suspected process parameters.

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Redfern, Australia

Rahul Chandra Nath