Advances In Cyber-Physical Systems

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End date: 2019Subject: search.filters.subject.Industry 4.0

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    Methodology for the construction of predictive analysis systems as exemplified by the mining equipment in the big data environment using smart agents and cybernetic systems
    (Lviv Politechnic Publishing House, 2018-02-01) Kupin, Andrey; Ivchenko, Rodion; Kryvyi Rih National University
    It is necessary to determine the optimal methodology for the system of predictive analysis of equipment to prevent emergency situations. The system may include, in particular: data input/reading from sensors, processing/storage of information in a database using algorithms for processing Big Data and decision trees [1]. Identifying possible types of problems and making decisions on how to respond to them; training the system for more accurate response and decision-making.
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    Multiagent control and predictive diagnostics of distributed iron ore enrichment system based on CPS
    (Publishing House of Lviv Polytechnic National University, 2016) Morkun, Volodymyr; Savytskyi, Oleksandr; Tymoshenko, Maxym; SIHE “Kryvyi Rih National University”
    The paper presents a description of a distributed control system of processing complex, consisting of three stages with a predictive diagnosis of sensors and actuators. Innovative methods of multi-agent control re focused on as one of the CPS concepts to improve the relation between different stages of enrichment equipment and their coordination.
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    Intelligent control of repair process of industrial facilities with distributed infrastructure on the basis of CPS
    (Publishing House of Lviv Polytechnic National University, 2016) Kupin, Andriy; Muzyka, Ivan; Romanov, Maksim; Ruban, Sergii; Savitskyi, Oleksandr; Kharlamenko, Vadym; SIHE “Kryvyi Rih National University”; PJSC “ArcelorMittal Kryvyi Rih”
    The paper presents a brief description of engineering and scientific problems which arise at the steel plant PJSC “ArcelorMittal Kryvyi Rih” when organizing a repair workshop to fix industrial equipment. The attention is paid to innovative methods of repair process based on intelligent agents and Industry 4.0 principles.