A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control.

Area of Science:

• * Industrial Process Control
• * Sensor Technology
• * Imaging Systems

Background:

• * Digitalization increases demand for advanced industrial imaging sensors.
• * Tomographic sensors are crucial for non-intrusive sensing in harsh industrial environments with opaque fluids.
• * Current limitations in fast process tomography hinder its application in highly dynamic processes due to complex schemes and intensive computation.

Purpose of the Study:

• * To provide an overview of the current state of the art in fast process tomography.
• * To explore the potential applications of fast process tomography in industrial settings.

Main Methods:

• * Review of existing tomographic sensing techniques.
• * Analysis of excitation and measurement schemes in process tomography.
• * Evaluation of image reconstruction computational demands.

Main Results:

• * Identification of key challenges in current fast process tomography implementations.
• * Assessment of technological advancements enabling faster image acquisition and reconstruction.
• * Discussion of sensor types suitable for industrial process monitoring.

Conclusions:

• * Fast process tomography presents a promising solution for non-optical, non-intrusive sensing in challenging industrial environments.
• * Further development is needed to overcome computational and complexity hurdles for widespread adoption in dynamic process control.