Streaming data for analytics in process control systems

Techniques for streaming big data in a process plant are disclosed. Generally, these techniques facilitate storage or communication of process control data, including alarms, parameters, events, and the like, in near real-time. Receivers of big data, such as big data historians or devices requesting...

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Hauptverfasser: Paul R Muston, Mark John Nixon, Daniel Dean Christensen, John Michael Lucas, Ken Beoughter, Terrence L Blevins
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creator Paul R Muston
Mark John Nixon
Daniel Dean Christensen
John Michael Lucas
Ken Beoughter
Terrence L Blevins
description Techniques for streaming big data in a process plant are disclosed. Generally, these techniques facilitate storage or communication of process control data, including alarms, parameters, events, and the like, in near real-time. Receivers of big data, such as big data historians or devices requesting specific data, are configured via an initial set of metadata, and thereafter receive updated metadata upon requesting it from the transmitting device, such as when the receiving device encounters an identifier in the data, which identifier was not defined in the metadata previously received.
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subjects CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
PHYSICS
REGULATING
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
title Streaming data for analytics in process control systems
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