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AUTOMATION
ArticleName Software service for quality control of assembly works
DOI 10.17580/tsm.2025.09.07
ArticleAuthor Koteleva N. I., Valnev V. V., Markov V. V.
ArticleAuthorData

Empress Catherine II Saint Petersburg Mining University, St. Petersburg, Russia

N. I. Koteleva, Associate Professor, Chair for Automation of Technological Processes and Production, Candidate of Engineering Sciences, e-mail: Koteleva_NI@pers.spmi.ru
V. V. Valnev, Postgraduate Student, Chair for Automation of Technological Processes and Production

 

Hakel, St. Petersburg, Russia

V. V. Markov, Deputy General Director

Abstract

Manual assembly of various components is currently widespread. A software service is presented that allows for real-time monitoring of electrical components assembly operations, identifying product defects, and automatically counting assembled parts. The software service allows for increasing the efficiency of assembly processes by reducing defects, reducing errors in process planning, and reducing the influence of the human factor on assembly processes. The stages of software service development and testing of its performance at the enterprise for manufacturing electrical products, JSC Hakel, are shown. The software service operation and calculation of its performance efficiency are shown using the example of four process operations for assembling surge protection devices. The versatility of the developed software service and its applicability for any process operation performed manually at non-ferrous metallurgy enterprises are shown. An assessment is made of the possibility of using the presented research results during installation of equipment and various automation systems, which is relevant for work on the implementation of JSC SoyuzTsMA developments during installation of valves, samplers, and installation of valve control units. The feasibility of implementing the software service during installation of vibration sensors and a microphone device of the VAZM-1M vibroacoustic mill loading analyzer is noted, since this ensures repeatability of the installation of sensors and a microphone after mill repairs and reduces the time for recalibration of the analyzer.

keywords Manual assembly, software service, automation of assembly work, technical vision, machine learning, object module, processing module, reduction of defects
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