B S Hoyle and X Jia 2004 Meas. Sci. Technol. 15 1355 doi:10.1088/0957-0233/15/7/019
B S Hoyle1 and X Jia2
Show affiliationsThe 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.
07.07.Df Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing
47.80.-v Instrumentation and measurement methods in fluid dynamics
Issue 7 (July 2004)
Received 15 December 2003, in final form 15 April 2004
Published 16 June 2004
B S Hoyle and X Jia 2004 Meas. Sci. Technol. 15 1355
H L Callendar 1910 Proc. Phys. Soc. London 23 153
J A Stone et al 2009 Metrologia 46 11
Benjamin C. Allanach et al JHEP03(2003)016
G D Clifford and L Tarassenko 2004 Physiol. Meas. 25 N27
Oleksandr Kuzmych et al 2007 Nanotechnology 18 375502
N. M. R. Peres et al 2007 EPL 80 67007
Hanns Ruder et al 2008 New J. Phys. 10 125014
Will Serber et al. 2006 ApJ 643 68
Jérémie Fromageau et al 2008 Phys. Med. Biol. 53 6475