Distributed big data in a process control system

作者: Paul Richard Muston , Terrence L. Blevins , Mark J. Nixon , Wilhelm K. Wojsznis

DOI:

关键词:

摘要: A distributed big data device in a process plant includes an embedded appliance configured to locally stream and store, as data, that is generated, received, or observed by the device, perform one more learning analyses on at least portion of stored data. The generates creates learned knowledge based result analysis, which may use modify its operation control real-time plant, and/or transmit other devices plant. be field controller, input/output utilize created when performing analysis.

参考文章(548)
Scott Deaton, James Frost, Systems and methods for monitoring and reporting ,(2005)
Tomas P. Lennvall, Eric D. Rotvold, Robin S. Pramanik, Wallace A. Pratt, Mark J. Nixon, Efficient addressing in wireless hart protocol ,(2008)
Kambiz Shoarinejad, Maryam Soltan, Mehran Moshfeghi, RFID location systems and methods ,(2006)
Neil J Peterson, Trevor Duncan Schleiss, Location dependent control access in a process control system ,(2008)
Robert B. Havekost, Mike Lucas, Dennis Stevenson, Michael G. Ott, Mark Nixon, Larry O. Jundt, Arthur Webb, Process control system using standard protocol control-of standard devices and non-standard devices ,(1996)
Thomas Kessler, Joerg Goeppert, Integrating information for maintenance ,(2006)
Jeffrey N. Denenberg, Thomas B. Slack, Probabilistic learning element ,(1985)