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Generic reality visualization modelling from process tomography sensor data in process design

B S Hoyle1 and X Jia2

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The paper introduces a novel enabling step toward the widespread exploitation of the multi-dimensional process sensing offered by process tomography (PT) technology that has demonstrated a unique insight into many processes. Most current applications are laboratory or pilot-plant based. Generic system integration tools are proposed that deal systematically with PT data to accelerate the assessment and application of PT sensing, and hence deliver the large benefits expected to arise from large-scale exploitation of multi-dimensional sensing. Where multi-dimensional PT sensor data are available, a suite of enabling tools, reality visualization modelling (RVM), are proposed as the complementary generic set of processing methods needed to take internal process state data and yield directly usable process information, either for design model confirmation or for effective plant control, or monitoring. A further step: generic-RVM (GRVM) extends this concept through a generically defined process topology, complete with method and model set, to expedite mass-market application. The paper offers a practical illustration through a small pilot trial.


PACS

07.07.Df Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing

47.80.-v Instrumentation and measurement methods in fluid dynamics

Subjects

Fluid dynamics

Instrumentation and measurement

Dates

Issue 7 (July 2004)

Received 15 December 2003, in final form 15 April 2004

Published 16 June 2004



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