Rockwell Automation Technologies Incorporated

Rockwell Automation, Inc.

Douglas B Weber

Jessica Lin Korpela

John Strohmenger

Jan Pingel

Matthew W Fordenwalt

Stephen L Hickox

Lixiang Wei

Haihui Lu

Yuan Xiao

Scott N Sandler

Clifford J Whitehead, Jr

Timothy S Biernat

Gregory S Wilcox

Vijayant Kaura

William J Gibson

Jonathan D Walter

Nancy Lynn Burnham

David J Wickman, Jr

Lisa D Hughes

A cloud-based modeler component that generates interactive models of an industrial automation system(s) (IAS(s)) is presented. An interactive model facilitates remote viewing of, interaction with, troubleshooting of problems with, or optimization of industrial assets of an IAS. The modeler component polls industrial assets via cloud gateways to obtain information relating to the industrial assets to identify industrial assets of the IAS and relationships with other industrial assets or can receive information from a communication device that obtains information relating to legacy industrial assets to identify those legacy assets and their relationships. The modeler component generates an interactive model of the industrial assets of the IAS based on the information. The modeler component also can discover new industrial assets added to the IAS, can receive a pre-deployed model of an industrial asset from the industrial asset or another source, and can incorporate the pre-deployed model in the interactive model.

Modeling of an industrial automation environment in the cloud

A cloud-based analytics engine that analyzes data relating to an industrial automation system(s) to facilitate enhancing operation of the industrial automation system(s) is presented. The analytics engine can interface with the industrial automation system(s) via a cloud gateway(s) and can analyze industrial-related data obtained from the industrial automation system(s). The analytics engine can determine correlations between respective portions or aspects of the system(s), between a portion(s) or aspect(s) of the system(s) and extrinsic events or conditions, or between an employee(s) and the system(s). The analytics engine can determine and provide recommendations or instructions in connection with the industrial automation system(s) to enhance system performance based on the determined correlations. The analytics engine also can determine when there is a deviation or potential of deviation from desired system performance by an industrial asset or employee, and provide a notification, a recommendation, or an instruction to rectify or avoid the deviation.

Cloud-based analytics for industrial automation

An industrial analytic system includes a device interface component. The device interface component is configured to collect data from a plurality of analytic appliances and transfer the data to an analytic component. Each of the plurality of analytic appliances is configured to collect data from a respective set of devices of a plurality of sets of devices. The plurality of sets of devices perform a plurality of operations in one or more industrial systems.

Scalable analytics system

A cloud-based industrial controller that controls devices, processes, and other assets of an industrial automation system via control algorithms that execute on a cloud platform is presented. A cloud-based collection component collects information from the industrial automation system via cloud gateways associated with the industrial automation system or extrinsic data sources. The cloud-based industrial controller can monitor and analyze the information, generate control instructions based on the analysis results, and communicate the control instructions to the devices, processes, and/or other assets of the industrial automation system to control operation of the industrial automation system. The cloud-based industrial controller also can interface with a industrial plant-based industrial controller, wherein the cloud-based industrial controller can determine supplemental control instructions to the industrial plant-based industrial controller, based on the information, including extrinsic information, to assist in controlling the industrial automation system and control decision-making.

Cloud-based industrial controller

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

Cloud-based backup provides a back up of an industrial plant comprising an industrial automation system(s) (IAS(s)). A cloud-based backup component comprising a modeler component can generate a model of industrial assets of the IAS(s) and relationships between industrial assets based on information obtained from the industrial assets via cloud gateways, a communication device associated with the IAS(s), or another source. The cloud-based backup component can store the model in a data store to be employed as a backup of the IAS(s) or to be used to configure a new IAS that is the same as or similar to the IAS(s). The model can be stored in the data store in a standardized or an agnostic format, wherein the backup component can translate the model to a format suitable to an IAS for which it is to be implemented based on characteristics associated with the IAS.

Backup of an industrial automation plant in the cloud

Multilevel inverters, power cells and bypass methods are presented in which a power cell switching circuit is selectively disconnected from the power cell output, and a bypass which is closed to connect first and second cell output terminals to selectively bypass a power stage of a multilevel inverter, with an optional AC input switch to selectively disconnect the AC input from the power cell switching circuit during bypass.

Power cell bypass method and apparatus for multilevel inverter

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Glendale, WI, United States of America

Douglas B Weber