Hoyle, B.S. and Jia, X. (2004) Generic reality visualization modelling from process tomography sensor data in process design. Measurement Science and Technology, 15 (7). pp. 1355-1365. ISSN 1361-6501
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2004 IOP Publishing Ltd. This is an author produced version of a paper published in Measurement Science and Technology. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination. |
Keywords: | Tomographic sensing, process interpretation, reality visualisation modelling |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
Depositing User: | Repository Officer |
Date Deposited: | 29 Sep 2005 |
Last Modified: | 25 Oct 2016 22:09 |
Published Version: | http://stacks.iop.org/0957-0233/15/1355 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1088/0957-0233/15/7/019 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:686 |