Digital image processing for assessing the liner armor condition of cone crushers

In the process chain of mineral processing, the crushing process is one of the most energy-intensive. At the present stage of development of ore processing technology, cone crushers of fine and medium crushing are widely used. The efficiency of operation of cone crushers is determined not only by the degree of crushing and granulometric composition of crushed ore, but also by the condition of the lining armor. The wear process of lining armor is one of the determining factors in changing the qualitative and quantitative characteristics of the fine crushing process. Therefore, the control of the current state of the lining should be considered as an important scientific and practical task. One of the ways to solve this problem is to obtain a digital image of the current state of the lining surface layer using endoscopic examination, followed by digital image processing. The use of digital image processing is now expanding significantly, supplanting analog image signal processing methods. They solve the problems of process control, automation of detection and tracking of objects, image recognition, visualization, biometric identification, implementing an approach to monitoring the condition of lining armor and predicting diagnostic wear parameters, which improves the efficiency of cone crushers. In this case, an integrated approach is applied, which includes: scientific analysis and generalization of previously published studies. The methodological basis of the research is the methods of system analysis, identification and planning of the experiment, the use of information technology, experimental data were analyzed using the theory of digital signal processing to assess the condition and wear of lining armor. The article defines an approach to control the wear of the lining armor of cone crushers for fine crushing, implemented as part of the maintenance and repair activities.

Velikanov V. S., Bochkov V. S., Dyorina N. V., Bochkova K. V. Digital image processing for assessing the liner armor condition of cone crushers. MIAB. Mining Inf. Anal. Bull. 2022;(11-2):159-168. [In Russ]. DOI: 10.25018/0236_1493_2022_112_0_159.

V.S. Velikanov¹, Dr. Sci. (Eng.), Assistant Professor, Professor, e-mail: rizhik_00@mail.ru, ORCID ID: 0000-0001-5581-2733,
V.S. Bochkov¹, Cand. Sci. (Eng.), Assistant Professor, Head of Chair, e-mail: bochkov.v@m.ursmu.ru, ORCID ID: 0000-0001-6202-4903,
N.V. Dyorina, Cand. Sci. (Philol.), Assistant Professor, e-mail: nataljapidckaluck@yandex.ru, G.I. Nosov Magnitogorsk State Technical University, 455000, Magnitogorsk, Russia, ORCID ID: 0000-0002-0613-0864,
K.V. Bochkova¹, Graduate Student, e-mail: bochkov.v@m.ursmu.ru, ORCID ID: 0000-0002-7058-2363,
¹ Ural State Mining University, 620144, Ekaterinburg, Russia.

V.S. Bochkov, e-mail: bochkov.v@m.ursmu.ru.

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