Special Issue "Tomographic Sensors for Industrial Process Control"
Deadline for manuscript submissions: 30 April 2022.
Technische Universitaet Dresden, Chair of Imaging Techniques in Energy and Process Engineering, 01062 Dresden, Germany
Interests: thermal fluid dynamics; multiphase flow measurement; process tomography
Control systems in the process industry have the task of ensuring a stable processing of material streams within a well-defined sequence of operations. Such operations are, for instance, reaction, separation, crystallization, solidification, mixing, and drying. For that purpose, the contemporary process industry typically employs control systems with local sensors for, e.g., temperature, pressure, flow, and filling level. With the ongoing progress in sensor development, there is now a growing interest in using sensors with higher complexity in industrial control systems. One such category is process tomography sensors.
Process tomography is an established class of imaging techniques, used to obtain 2D or 3D information of the distribution and flow of materials in pipes and vessels. Compared to its counterparts in medical diagnostics and non-destructive testing, process tomography typically targets high scanning speed rather than high spatial resolution. In recent years, a number of different process tomography modalities have evolved. These are, for example, electrical tomography, magnetic tomography, ultrasound tomography, microwave tomography, and optical tomography. However, some of the classical tomography modalities, such as X-ray tomography, emission tomography, and magnetic resonance imaging, have also been made fast enough to study industrial processes.
With respect to industrial process control, tomographic imaging had so far been of lesser consideration as real time reconstruction and feature extraction was difficult to achieve. However, recent developments in powerful and smart massive parallel computing architectures have changed the game. Process tomography can now be turned into a powerful sensor element for tomography-based process control.
The Special Issue invites researchers from different fields to publish their latest scientific and technical achievements in the field of process control using process tomography techniques. The focus of this Special Issue is on a holistic demonstration of this technology for typical industrial processes, preferably in the fields of chemical, environmental, and energy engineering. Demonstration may be in real industrial systems or in a laboratory environment. Presented technical solutions should include tomography sensors, data processing, and control strategies with at least a proof of principle. Contributions may furthermore deal with new concepts for hardware and software, e.g., real-time tomographic sensing and data processing as well as novel theoretical control concepts for the use of tomography sensors in control loops.
Prof. Dr. Uwe Hampel
Manuscript Submission Information
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- process tomography sensors
- industrial process control
- control systems in process engineering
- real-time image and data processing
- feature extraction
- parallel computing