NON–INVASIVE METHODS OF INDUSTRIAL PROCESSES CONTROL

Grzegorz Rybak

grybak@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science (Poland)

Zbigniew Chaniecki


Lodz University of Technology, Institute of Applied Computer Science (Poland)

Krzysztof Grudzień


Lodz University of Technology, Institute of Applied Computer Science (Poland)

Andrzej Romanowski


Lodz University of Technology, Institute of Applied Computer Science (Poland)

Dominik Sankowski


Lodz University of Technology, Institute of Applied Computer Science (Poland)

Abstract

Monitoring and control systems constitute an important group of diagnostic tools used in the industry. When selected properly, they allow for the early detection of adverse conditions of the process, making it possible to prevent catastrophes. While these systems are becoming more precise and effective it is essential to exploring the state of knowledge about the nature of the processes that are the domains of their proper execution. Based on a process of gravitational flow of solids proposed measuring and control system is described, which includes tools such as strain gauges, accelerometers and capacitance tomography sensors. Preliminary results of conducted tests confirmed the efficiency of the proposed system for the monitoring of an installation for storage and unloading of bulk solids. The flow rig is located in the Tom Dyakowski Process Tomography Lab at the Institute of Applied Computer Science.


Keywords:

measurements, accelerometer, strain gauge, capacitance tomography, industry, control, conveying, solid materials

Buchczik D., Ilewicz W., Piotrowski J., Waluś S., Wyżgolik R., Żelezik J.: Pomiary. Czujniki i metody pomiarowe wybranych wielkości fizycznych i składu chemicznego, Wydawnictwo Naukowo-Techniczne, Warszawa, 2009.
  Google Scholar

Chaniecki Z.: Algorytmy przetwarzania i analizy danych pomiarowych elektrycznej tomografii pojemnościowej w diagnostyce wybranych procesów przemysłowych - rozprawa doktorska, Łódź, 2006.
  Google Scholar

Chaniecki Z., Sankowski D.: Monitorowanie i diagnozowanie stanów dynamicznych z użyciem tomografii procesowej. Korbicz J. (red.): Diagnostyka procesów i systemów. Warszawa 2007, s. 388-394.
  Google Scholar

Chaniecki Z., Grudzień K., Jaworski T., Rybak G., Romanowski A., Sankowski D.: Diagnostic system of gravitational solid flow based on weight and accelerometer signal analysis using wireless data transmission technology. Diagnostic of gravitational solid, vol. 17, no. 4, 2013, pp. 319-326.
  Google Scholar

Grudzień K., Chaniecki Z., Rybak G., Niedostatkiewicz M., Matusiak B., Romanowski A.: Multi-measurement system of gravitational flow process in slim large-scale silo, 7th World Congress on Industrial Process Tomography, WCIPT7, Kraków, 2013.
  Google Scholar

Grudzień K., Romanowski A., Chaniecki Z., Niedostatkiewicz M., Sankowski D.: Description of the silo flow and bulk solid pulsation detection using ECT. Flow Measurement and Instrumentation, 21, 2010, p. 198-206.
  Google Scholar

Jaworski A. J., Dyakowski T.: Tomographic measurements of solids mass flow in dense pneumatic conveying. What do we need to know about the flow physics?, Proceedings of 2nd World Congress on Industrial Process Tomography, Hannover, Germany, pp. 353-361.
  Google Scholar

Pląskowski A., Beck M. S., Thorn R., Dyakowski T.: Imaging Industrial flows, applications of electrical process tomography, Institute of Physics Publishing, Bristol, 1995.
  Google Scholar

Romanowski A., Grudzień K., Aykroyd R., Williams R.: Advanced Statistical Analysis as a Novel Tool to Pneumatic Conveying Monitoring and Control Strategy Development, Particle & Particle Systems Characterization. vol. 23, no. 3-4, 2006, p. 289-296.
  Google Scholar

Scott D. M., McCann H.: Process Imaging for Automatic Control, CRC, 2005.
  Google Scholar

Sikora J., Wójtowicz S.: Industrial and Biological Tomography. Electrical Capacitance Tomography. Theoretical Basis and Applications, Instytut Elektrotechniki, 2010.
  Google Scholar

Żółtowski B.: Podstawy diagnozowania maszyn. Wydawnictwo Uczelniane Uniwersytetu Techniczno-Przyrodniczego w Bydgoszczy, 2011.
  Google Scholar


Published
2014-09-26

Cited by

Rybak, G., Chaniecki, Z., Grudzień, K., Romanowski, A., & Sankowski, D. (2014). NON–INVASIVE METHODS OF INDUSTRIAL PROCESSES CONTROL . Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 4(3), 41–45. https://doi.org/10.5604/20830157.1121349

Authors

Grzegorz Rybak 
grybak@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Zbigniew Chaniecki 

Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Krzysztof Grudzień 

Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Andrzej Romanowski 

Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Dominik Sankowski 

Lodz University of Technology, Institute of Applied Computer Science Poland

Statistics

Abstract views: 332
PDF downloads: 152


Most read articles by the same author(s)

1 2 > >>