THE DIAGNOSTIC OF TWO-PHASE SEPARATION PROCESS USING DIGITAL IMAGE SEGMENTATION ALGORITHMS
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.plLodz University of Technology (Poland)
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 processesReferences
Kabziński J., Kacerka J., Krawiecki M. et al.: Zwięzły kurs analizy numerycznej. Wydawnictwo Politechiki Łódzkiej, Łódź 2018.
Google Scholar
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].
DOI: https://doi.org/10.5604/01.3001.0012.5281
Google Scholar
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].
DOI: https://doi.org/10.2478/v10248-012-0063-6
Google Scholar
Kouba G.E., Shoham O.: A review of gas-liquid cylindrical cyclone (glcc) technology. Production Separation Systems – International Conference. Aberdeen 1996, 1–25.
Google Scholar
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].
DOI: https://doi.org/10.5604/01.3001.0013.0881
Google Scholar
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].
DOI: https://doi.org/10.5604/01.3001.0012.5280
Google Scholar
Szeliski R.: Computer Vision: Algorithms and Applications. Springer, London 2011.
DOI: https://doi.org/10.1007/978-1-84882-935-0
Google Scholar
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].
DOI: https://doi.org/10.1080/23311916.2017.1373421
Google Scholar
Authors
Michał ŁukiańskiLodz University of Technology, Institute of Applied Computer Science, Łódź, Poland Poland
https://orcid.org/0000-0002-4927-5350
Statistics
Abstract views: 503PDF downloads: 9061
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Most read articles by the same author(s)
- Wiktor Kania, Radoslaw Wajman, CKRIPT: A NEW SCRIPTING LANGUAGE FOR WEB APPLICATIONS , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 12 No. 2 (2022)