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

By B.S. Hoyle and X. Jia

Abstract

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 is available, a suite of enabling tools: reality visualisation 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

Year: 2004
OAI identifier: oai:eprints.whiterose.ac.uk:686

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