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US Patent 11886155 Distributed industrial performance monitoring and analytics

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118861550
Patent Inventor Names
Joshua Brian Kidd0
Alper Turhan Enver0
Paul R. Muston0
Mark John Nixon0
Noel Howard Bell0
Date of Patent
January 30, 2024
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Patent Application Number
168719880
Date Filed
May 11, 2020
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Patent Citations
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US Patent 8688780 Peer-to-peer exchange of data resources in a control system
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US Patent 9532232 Detection and location of wireless field devices
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US Patent 9541905 Context sensitive mobile control in a process plant
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US Patent 9558220 Big data in process control systems
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US Patent 9652213 Global optimization and verification of cyber-physical systems using floating point math functionality on a system with heterogeneous hardware components
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US Patent 9678484 Method and apparatus for seamless state transfer between user interface devices in a mobile control room
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US Patent 9697170 Collecting and delivering data to a big data machine in a process control system
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US Patent 9804588 Determining associations and alignments of process elements and measurements in a process
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Patent Primary Examiner
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Mohammad Ali
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CPC Code
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G05B 19/4185
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G05B 17/02
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Patent abstract

Distributed industrial process monitoring and analytics systems and methods are provided for operation within a process plant. A plurality of distributed data engines (DDEs) may be embedded within the process plant to collect and store data generated by data sources, such as process controllers. Thus, the data may be stored in a distributed manner in the DDEs embedded throughout the process plant. The DDEs may be connected by a data analytics network to facilitate data transmission by subscription or query. The DDEs may be configured as a plurality of clusters, which may further include local and centralized clusters. The local clusters may obtain streaming data from data sources and stream selected data to a data consumer. The centralized cluster may register the local clusters, receive data therefrom, and perform data analytic functions on the received data. The analyzed data may be further sent to a data consumer.

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