Rockwell Automation Technologies Incorporated

Katherine Sokolnicki

David Alan Vasko

Bijan Sayyarrodsari

Steven T Haensgen

Yongyao Cai

Kyle A Crum

Chirag L Malkan

David Dale Brandt

Yutao Wang

Dayin Xu

Todd A Wiese

Michael J Anthony

Rebecca R Jaeger

Jon P Vanderpas

Karol Szczupakowski

Systems and methods described herein may relate to a system including a plurality of industrial devices that each perform one or more operations within an industrial automation system having a plurality of hierarchical levels. Each of the plurality industrial devices may include a compute surface able to perform software tasks. The system may include a system of processors that receives trigger event data from a device corresponding to a first hierarchical level of the plurality of hierarchical levels. In addition, the system of processors is configured to identify a target device associated with additional data associated with the trigger event data, deploy a container to the target device, generate a data pattern based on the trigger event data and the acquired additional data, determine a remedial action associated with the trigger event data based on the data pattern, and instruct a device to implement the remedial action.

Deploying containers to adjust industrial device operations based on event data contextualized with respect to hierarchical datasets of an industrial automation system

An industrial Single Pair Ethernet (SPE) system and method for connecting devices within an industrial automation system is provided. The industrial SPE system comprises a trunkline formed by a series of trunk cables, where each trunk cable includes a power pair and an SPE pair, and one or more taps connected between the trunk cables of the trunkline. The industrial SPE system further comprises a drop line connected to each of the one or more taps, and a device connected to each of one or more taps via the drop lines. The device is an actuator or a sensor, and at least one of the device and the one or more taps includes a dual-port SPE switch.

On-machine industrial SPE network system and method

A method for correlating data from different sensors for product lifecycle management includes receiving sensor information from an additional sensor of a plurality of sensors of an industrial operation. The additional sensor is different from component sensors used for functionality of a component of the industrial operation. Sensor information from the additional sensor monitors conditions of a portion of the industrial operation different from sensor information of the component sensors used for the functionality of the component. The method includes deriving, using the sensor information, a correlation between an operational parameter of the component and sensor information of the additional sensor. The operational parameter is related to a predicted operational lifetime of the component. The method includes identifying an abnormal operating condition of the component based on a comparison between additional sensor information from the additional sensor and the operational parameter, and sending an alert with the abnormal operating condition.

Product lifecycle management

A method for correlating data from sensors includes receiving sensor information from a plurality of sensors of an industrial operation. Sensor information from component sensors is used for functionality of a component of the industrial operation and sensor information from additional sensors monitor conditions of a portion of the industrial operation different from the component. The method includes deriving, using the sensor information, correlations between component sensors and additional sensors and deriving a baseline signature from the sensor information and the correlations. The baseline signature encompasses a range of normal operating conditions. The method includes identifying an abnormal operating condition based on a comparison between additional sensor information and the baseline signature. The sensor information is used differently for functionality of the component than for deriving the correlations and baseline signature and identifying the abnormal operating condition. The method includes sending an alert with the abnormal operating condition.

Aggregate and correlate data from different types of sensors

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Chelmsford, MA, United States of America

Katherine Sokolnicki