THE DIAGNOSTIC OF TWO-PHASE SEPARATION PROCESS USING DIGITAL IMAGE SEGMENTATION ALGORITHMS


Abstract

The project aimed to develop and implement algorithms to diagnose the phase separation process based on digital images. The image processing techniques and various numerical methods for interpolation and integration were used to identify the process state. The swirl’s volume and diameters at its three different levels can be determined on-line. A consistent diagnostic signal is produced and can be used by the control unit. The program was written in Python using the OpenCV library that allows the analysis of digital images. The article presents the developed procedure that provides reliable results despite the poor quality of the input source video stream. The complete procedure was described with the results’ presentation and discussion at each step.


Keywords

image analysis; image segmentation; computerized monitoring; separation processes

Kabziński J., Kacerka J., Krawiecki M. et al.: Zwięzły kurs analizy numerycznej. Wydawnictwo Politechiki Łódzkiej, Łódź 2018.

Kania K., Rymarczyk T.: Methods for detection analysis in quality control system. Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska 8/2018, 35–38, [https://doi.org/10.5604/01.3001.0012.5281].

Kapusta P., Majchrowicz M., Sankowski D., Banasiak R.: Application of GPU Parallel Computing for Acceleration of Finite Element Method Based 3D Reconstruction Algorithms in Electrical Capacitance Tomography. Image Process Commun 17/2012, 339–346, [https://doi.org/10.2478/v10248-012-0063-6].

Kouba G.E., Shoham O.: A review of gas-liquid cylindrical cyclone (glcc) technology. Production Separation Systems – International Conference. Aberdeen 1996, 1–25.

Miłak M., Leszczyńska A., Grudzień K., et al.: Slug flow velocity estimation during pneumatic conveying of bulk solid materials based on image processing techniques. Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska 9/2019, 11–14, [https://doi.org/10.5604/01.3001.0013.0881].

Niderla J., Rymarczyk T., Sikora J.: Manufacturing planning and control system using tomographic sensors. Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska 8/2018, 29–34, [https://doi.org/10.5604/01.3001.0012.5280].

Szeliski R.: Computer Vision: Algorithms and Applications. Springer, London 2011.

Yang Y., Wang S., Wen C.: Gas-liquid two-phase flows in double inlet cyclones for natural gas separation. Cogent Eng 4/2017, [https://doi.org/10.1080/23311916.2017.1373421].

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Published : 2020-09-30


Łukiański, M., & Wajman, R. (2020). THE DIAGNOSTIC OF TWO-PHASE SEPARATION PROCESS USING DIGITAL IMAGE SEGMENTATION ALGORITHMS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 10(3), 5-8. https://doi.org/10.35784/iapgos.1544

Michał Łukiański 
Lodz University of Technology, Institute of Applied Computer Science, Łódź, Poland  Poland
https://orcid.org/0000-0002-4927-5350
Radoslaw Wajman  radoslaw.wajman@p.lodz.pl
  Poland