Multi-Sensor Process Tomography System Design: Part 2 - Data Processing and Systems Software Design

B S Hoyle1, X Jia3, H McCann2 , F J W Podd1, H I Schlaberg1, R M West3 and R A Williams3

1. Institute of Integrated Information Systems, School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK,

   email: b.s.hoyle@leeds.ac.uk, f.j.w.podd@leeds.ac.uk, h.i.schlaberg@leeds.ac.uk

2. Department of Electrical Engineering and Electronics, UMIST, Manchester, M60 1QD, UK, email: t.a.york@umist.ac.uk

3. Particle and Colloid Engineering Group, School of Process, Environmental and Materials Engineering, University of Leeds, Leeds, LS2 9JT, UK,

   email: x.jia@leeds.ac.uk, r.m.west@leeds.ac.uk, r.a.williams@leeds.ac.uk.

All authors are members of the Virtual Centre for Industrial Process Tomography

Abstract - This paper deals with the second part of the systems engineering of a multi-modal process tomography system, with a primary focus on the data processing needs and software solutions in this design. It deals in particular with the conceptual design of an integrated process tomography data acquisition system, which supports a multi-modal system offering a 'plug and play' capability. It deals with the design constraints of the software system: the need to support differing front-end sensors for each modality in a generic fashion; the need to communicate with front end data pre-processing and packing systems; the need to integrate the data to allow data fusion; and finally to enable successful interpretation.

Keywords: multi-modality tomography, data fusion