Rockwell Automation Technologies Incorporated

Rockwell Automation, Inc.

Timothy Siorek

Robert J Kretschmann

Kenwood H Hall

Charles Martin Rischar

Kendal R Harris

Jonathan D Bradford

Martin George Gach

Mark Joseph Balewski

Joseph G Vazach

Daniel J Galdun

Yas Harasawa

Stephen Laitinen

Systems and methods that correlate among disparate pieces of synchronized data, collected from an 'internal' data stream (e.g., history data collected from an industrial unit) and an 'external' data stream (e.g., traffic data on network services). A process trend component that determines/predicts an outcome of an industrial process and facilitates diagnostics/prognostics of an industrial system. Accordingly, relations among various parameters can be discovered (e.g., dynamically) and proper corrective adjustments supplied to the industrial process. Such enables a tight control and short reaction time to process parameters, and for a modification thereof.

Correlation of non-times series events in industrial systems

The present invention provides a system and method for interfacing to a network. The system includes a network interface comprising an embedded network traffic analyzer (NTA) capable of network traffic analyzer filter and capture capabilities. The NTA also includes an artificial intelligence component that facilitates diagnosing and/or prognosing state and/or health of the network (and/or components thereof).

Embedded network traffic analyzer

Systems and methods that vary multiple data sampling rates, to collect sets of data with different levels of granularity for an industrial system. The data for such industrial system includes sets of data from the 'internal' data stream(s) (e.g., history data collected from an industrial unit) and sets of data from an 'external' (e.g., traffic data on network services) data stream(s), based in part on the criticality/importance criteria assigned to each collection stage. Each set of data can be assigned its own unique data collection rate. For example, a higher sample rate can be employed when collecting data from the network during an operation stage that is deemed more critical (e.g., dynamic attribution of predetermined importance factors) than the rest of the operation.

Adjustment of data collection rate based on anomaly detection

Methods and apparatus for redundancy in machine or process control systems provide redundant communication adapters located with the groups of I/O modules, so that if the first communication adapter faults or becomes unavailable, a second communication adapter will perform all of the necessary functions of the first adapter. The adapters are connected to a multiplexing module for communicating input data from the I/O modules to the communication adapters, for exchanging initialization data with the first communication adapter and the second communication adapter to initialize the redundant mode of operation and for monitoring communication of the first communication adapter and the second communication adapter on the network to start up the second adapter as the primary adapter for communicating both input data and output data with the I/O modules.

Method and apparatus for providing redundant I/O adapters in machine and process controllers

A method and system for processing timers are presented in which a plurality of unordered timer lists may be kept according to timer duration. At least one timer list is processed selectively according to a counter associated with the timer list. The method and system reduce the processing overhead associated with timers via the selective processing of the list, and further result in little or no overhead increase as the number of active timers increases. A system is also provided for processing timers, which may include multiple timer lists.

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Newbury, OH, United States of America

Timothy Siorek