Super-sensing technology: industrial applications and future challenges of electrical tomography

Electrical tomography is a relatively new imaging technique that can image the distribution of the passive electrical properties of an object. Since electrical tomography technology was proposed in the 1980s, the technique has evolved rapidly because of its low cost, easy scale-up and non-invasive features. The technique itself can be sensitive to all passive electrical properties, such as conductivity, permittivity and permeability. Hence, it has a huge potential to be applied in many applications. Owing to its ill-posed nature and low image resolution, electrical tomography attracts more attention in industrial fields than biomedical fields. In the past decades, there have been many research developments and industrial implementations of electrical tomography; nevertheless, the awareness of this technology in industrial sectors is still one of the biggest limitations for technology implementation. In this paper, the authors have summarized several representative applications that use electrical tomography. Some of the current tomography research activities will also be discussed. This article is part of the themed issue ‘Supersensing through industrial process tomography’.

[1]  John R. Grace,et al.  Characterisation of gas mixing in water and pulp-suspension flow based on electrical resistance tomography , 2013 .

[2]  N. J. Avis,et al.  A real-time volumetric visualization system for electrical impedance tomography. , 2000, Physiological measurement.

[3]  Philippe A. Tanguy,et al.  Characterization of slurry flow regime transitions by ERT , 2008 .

[4]  H. Laborit,et al.  [Experimental study]. , 1958, Bulletin mensuel - Societe de medecine militaire francaise.

[5]  N Terzija,et al.  Use of electromagnetic induction tomography for monitoring liquid metal/gas flow regimes on a model of an industrial steel caster , 2010 .

[6]  G. C. Mckinnon,et al.  A Limitation on Systems for Imaging Electrical Conductivity Distributions , 1980, IEEE Transactions on Biomedical Engineering.

[7]  Lu Ma,et al.  Electromagnetic imaging for internal and external inspection of metallic pipes , 2012 .

[8]  Maurice Beck,et al.  Design of sensor electronics for electrical capacitance tomography , 1992 .

[9]  Adam J. Kowalski,et al.  An electrical resistance tomography method for determining mixing in batch addition with a level change , 2010 .

[10]  M. Soleimani,et al.  FOUR DIMENSIONAL RECONSTRUCTION USING MA- GNETIC INDUCTION TOMOGRAPHY: EXPERIMEN- TAL STUDY , 2012 .

[11]  E. Woo Impedance Spectroscopy and Multi-Frequency Electrical Impedance Tomography , 2007 .

[12]  M. Nahvi,et al.  Electrical Impedance Spectroscopy Sensing for Industrial Processes , 2009, IEEE Sensors Journal.

[13]  Robert Banasiak,et al.  Four-dimensional electrical capacitance tomography imaging using experimental data , 2009 .

[14]  Brent R. Young,et al.  Electrical Resistance Tomography (ERT) applications to Chemical Engineering , 2013 .

[15]  Manuchehr Soleimani,et al.  Volumetric magnetic induction tomography , 2012 .

[16]  Nick J. Miles,et al.  Examination of swirling flow using electrical resistance tomography , 2006 .

[17]  Yang Xiaoguang Research on the total variation regularization algorithm for electrical capacitance tomography , 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).

[18]  P.A. Karjalainen,et al.  A Kalman filter approach to track fast impedance changes in electrical impedance tomography , 1998, IEEE Transactions on Biomedical Engineering.

[19]  Manuchehr Soleimani,et al.  Evaluation of planar 3D electrical capacitance tomography: From single-plane to dual-plane configuration , 2015 .

[20]  William R B Lionheart EIT reconstruction algorithms: pitfalls, challenges and recent developments. , 2004, Physiological measurement.

[21]  N. H. Saunders,et al.  A feasibility study of in vivo electromagnetic imaging. , 1993, Physics in medicine and biology.

[22]  Trevor York,et al.  Tomographic imaging during semi-batch reactive precipitation of barium sulphate in a stirred vessel , 2009 .

[23]  Murray Rudman,et al.  High concentration suspension pumping , 2006 .

[24]  Eric T. Chung,et al.  Electrical impedance tomography using level set representation and total variational regularization , 2005 .

[25]  Mi Wang,et al.  Development of an electrical tomographic system for operation in a remote, acidic and radioactive environment , 2007 .

[26]  Philip K. Chan,et al.  Using electrical resistance tomography and computational fluid dynamics modeling to study the formation of cavern in the mixing of pseudoplastic fluids possessing yield stress , 2008 .

[27]  A. K. Khambampati,et al.  Mathematical concepts for image reconstruction in tomography , 2015 .

[28]  Manuchehr Soleimani,et al.  Planar magnetic induction tomography for 3D near subsurface imaging , 2013 .

[29]  Xiandong Ma,et al.  Hardware and software design for an electromagnetic induction tomography (EMT) system for high contrast metal process applications , 2005 .

[30]  Michael Vogt,et al.  Fast Electrical Impedance Tomography Based on Code-Division-Multiplexing Using Orthogonal Codes , 2015, IEEE Transactions on Instrumentation and Measurement.

[31]  R. Mann,et al.  Interactions of precipitation and fluid mixing with model validation by electrical tomography , 2005 .

[32]  Z. Cao,et al.  Direct methods for image reconstruction in electrical capacitance tomography , 2015 .

[33]  Mark J.H. Simmons,et al.  Techniques for Visualization of Cavern Boundaries in Opaque Industrial Mixing Systems , 2009 .

[34]  Xiandong Ma,et al.  Development of multiple frequency electromagnetic induction systems for steel flow visualization , 2008 .

[35]  S. J. Stanley,et al.  Tomographic imaging during reactive precipitation in a stirred vessel: Mixing with chemical reaction , 2006 .

[36]  J. Grace,et al.  In-line jet mixing of liquid–pulp–fibre suspensions: Effect of concentration and velocities , 2012 .

[37]  Xiandong Ma,et al.  Electromagnetic techniques for imaging the cross-section distribution of molten steel flow in the continuous casting nozzle , 2005, IEEE Sensors Journal.

[38]  Manuchehr Soleimani,et al.  THREE-DIMENSIONAL NONLINEAR INVERSION OF ELECTRICAL CAPACITANCE TOMOGRAPHY DATA USING A COMPLETE SENSOR MODEL , 2010 .

[39]  Liang-Shih Fan,et al.  Electrical Capacitance Volume Tomography , 2007, IEEE Sensors Journal.

[40]  Lihui Peng,et al.  Image reconstruction algorithms for electrical capacitance tomography , 2003 .

[41]  D. C. Barber,et al.  Three-dimensional electrical impedance tomography , 1996, Nature.

[42]  Frank Stefani,et al.  Contactless inductive flow tomography for a model of continuous steel casting , 2010 .

[43]  Trevor York,et al.  Design and application of a multi-modal process tomography system , 2001 .

[44]  Paul J. Kreitzer,et al.  Horizontal Two Phase Flow Regime Identification: Comparison of Pressure Signature, Electrical Capacitance Tomography (ECT) and High Speed Visualization , 2012 .

[45]  D. Djajaputra Electrical Impedance Tomography: Methods, History and Applications , 2005 .

[46]  Shi Liu,et al.  Mass flow measurement of pneumatically conveyed solids using electrical capacitance tomography , 2008 .

[47]  Clemens Brechtelsbauer,et al.  MONITORING OF MULTIPHASE PHARMACEUTICAL PROCESSES USING ELECTRICAL RESISTANCE TOMOGRAPHY , 2005 .

[48]  J. Nagaraju,et al.  A multifrequency Electrical Impedance Tomography (EIT) system for biomedical imaging , 2012, 2012 International Conference on Signal Processing and Communications (SPCOM).

[49]  R. J. Lytle,et al.  Impedance camera: A system for determining the spatial variation of electrical conductivity , 1978 .

[50]  Manoochehr Nahvi,et al.  Data fusion for electrical spectro-tomography , 2009, 2009 IEEE International Workshop on Imaging Systems and Techniques.

[51]  F. Garcia-Nocetti,et al.  Visualisation of gas–oil two-phase flows in pressurised pipes using electrical capacitance tomography , 2005 .

[52]  Manuchehr Soleimani,et al.  ITS Reconstruction Tool-Suite: An inverse algorithm package for industrial process tomography , 2014 .

[53]  A. Adler,et al.  Temporal image reconstruction in electrical impedance tomography , 2007, Physiological measurement.

[54]  B. S. Hoyle,et al.  Engineering and application of a dual-modality process tomography system , 2007 .

[55]  T. F. Jones,et al.  Visualization of Asymmetric Solids Distribution in Horizontal Swirling Flows Using Electrical Resistance Tomography , 2003 .

[56]  Wuqiang Yang,et al.  A Miniature Two-Plate Electrical Capacitance Tomography Sensor , 2015, IEEE Sensors Journal.

[57]  John G. Webster,et al.  An Impedance Camera for Spatially Specific Measurements of the Thorax , 1978, IEEE Transactions on Biomedical Engineering.

[58]  Tomasz Dyakowski,et al.  Application of electrical capacitance tomography for measurement of gas-solids flow characteristics in a pneumatic conveying system , 2001 .

[59]  Manuchehr Soleimani,et al.  Pipeline inspection using magnetic induction tomographybased on a narrowband pass filtering method , 2012 .

[60]  M. S. Beck,et al.  Capacitance-based tomographic flow imaging system , 1988 .

[61]  Wuliang Yin,et al.  A planar EMT system for the detection of faults on thin metallic plates , 2006 .

[62]  M. Soleimani,et al.  Improving the Temporal Resolution of Magnetic Induction Tomography for Molten Metal Flow Visualization , 2010, IEEE Transactions on Instrumentation and Measurement.