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Zhang S, Fan X, Jiang S, Guan R, Shao X, Wang S, Yue Q. Fluorometric detection of trace moisture in methanol, ethanol and n-propanol using N, P-codoped carbon dots. J Mol Struct 2023. [DOI: 10.1016/j.molstruc.2022.134186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Hampel U, Babout L, Banasiak R, Schleicher E, Soleimani M, Wondrak T, Vauhkonen M, Lähivaara T, Tan C, Hoyle B, Penn A. A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control. SENSORS 2022; 22:s22062309. [PMID: 35336477 PMCID: PMC8948778 DOI: 10.3390/s22062309] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/27/2022] [Accepted: 03/07/2022] [Indexed: 02/04/2023]
Abstract
With the ongoing digitalization of industry, imaging sensors are becoming increasingly important for industrial process control. In addition to direct imaging techniques such as those provided by video or infrared cameras, tomographic sensors are of interest in the process industry where harsh process conditions and opaque fluids require non-intrusive and non-optical sensing techniques. Because most tomographic sensors rely on complex and often time-multiplexed excitation and measurement schemes and require computationally intensive image reconstruction, their application in the control of highly dynamic processes is often hindered. This article provides an overview of the current state of the art in fast process tomography and its potential for use in industry.
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Affiliation(s)
- Uwe Hampel
- Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328 Dresden, Germany; (E.S.); (T.W.)
- Institute of Power Engineering, Technische Universität Dresden, 01062 Dresden, Germany
- Correspondence:
| | - Laurent Babout
- Institute of Applied Computer Science, Lodz University of Technology, Stefanowski 18, 90-937 Lodz, Poland; (L.B.); (R.B.)
| | - Robert Banasiak
- Institute of Applied Computer Science, Lodz University of Technology, Stefanowski 18, 90-937 Lodz, Poland; (L.B.); (R.B.)
| | - Eckhard Schleicher
- Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328 Dresden, Germany; (E.S.); (T.W.)
| | - Manuchehr Soleimani
- Engineering Tomography Lab (ETL), Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK;
| | - Thomas Wondrak
- Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328 Dresden, Germany; (E.S.); (T.W.)
| | - Marko Vauhkonen
- Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland; (M.V.); (T.L.)
| | - Timo Lähivaara
- Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland; (M.V.); (T.L.)
| | - Chao Tan
- Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China;
| | - Brian Hoyle
- School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UK;
| | - Alexander Penn
- Institute of Process Imaging, Hamburg University of Technology, Denickestraße 17, 21073 Hamburg, Germany;
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