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Industrial process imaging

'Industrial Process Imaging, or Industrial Process Tomography are methods use to form an image of a cross section of vessel or pipe in a chemical engineering or mineral processing, or petroleum extraction or refining plant.[1] [2]Process imaging is used for the development of process equipment such as filters, separators and conveyor, as well as monitoring of production plant including flow rate measurement. As well as conventional tomographic methods widely used in medicine such as X-ray computed tomography, magnetic resonance imaging and gamma ray tomography, and ultra-sound tomography, less conventional methods such as electrical capacitance tomography and electrical resistivity tomography (similar to medical electrical impedance tomography) are also used.

Although such techniques are not in widespread deployment in industrial plant there is an active research community, including a Virtual Center for industrial Process Tomography [3], and a regular World Congress on Industrial Process Tomography.

A number of applications of tomography of process equipment were described in the 1970s, using Ionising Radiation from X-ray or isotope sources but routine use was limited by high cost involved and safety constraints. Radiation-based methods used long exposure times which meant that dynamic measurements of the real time behaviour of process systems were not feasible. The use of electrical methods to image industrial processes was pioneered by Maurice Beck at the University of Manchester Institute of Science and Technology in the mid 1980s[4]


  1. ^ McCann, H and Scott, D.M (eds) Process Imaging for Automatic Control, Taylor and Francis, 2005, ISBN 0824759206
  2. ^ MS Beck and R Williams, Process Tomography: Principles, Techniques and Applications, Butterworth-Heinemann (July 19, 1995),ISBN 0750607440
  3. ^ Virtual centre for Industrial Process Tomography,, Aceessed 06/10/2006
  4. ^ Roger Waterfall, Maurice Sidney Beck M Inst P (1929-1999), November 1999, [1].
This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Industrial_process_imaging". A list of authors is available in Wikipedia.
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