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Abstract

The aim of the study is to scientifically substantiate the need to use the axiomatic approach when choosing and studying the processes of centralized dispatching control of technological parameters for a complex of flotation machines. The digitalization trends of enterprises imply the transition to intelligent production technologies, the creation of systems for processing large amounts of data, machine learning and artificial intelligence, which, accordingly, requires the selection of criteria and key indicators for the formation of control actions. During the research, the authors carried out a comparison of the real object and its properties with the classical axioms of system analysis control and substantiated the use of a hierarchical structure of interrelated technological parameters and their application for situational management. Methods of classical control axioms of system analysis were used for the research. The authors of the study adhere to the concept of transition from a traditional control room focused on the tasks of episodic distribution of material or energy flows to powerful analytical centers for operational management of all production activities of an enterprise. The authors formulated the criteria for situational management, the concept of visualization in the dispatching system, which is based on the joint participation of people and technical means in the process. At the same time, the implementation of formalized operations is entrusted to computer technology and the decision-making based on informal methods to technicians and managers. The availability of modern methods and techniques for collecting and structuring information flows that characterize production processes and sub-processes allows us to comply with the basic axioms of system analysis. The construction of a dispatching process in production management systems (MES), in which the multistage technology and interdependent factors are presented, requires approaches that are different from approaches to process control. The results obtained allow us to assert that the implementation of the Ross-Ashby principle significantly increases the controllability of technological processes with a large number of units and measured parameters.

Keywords

Control axioms, supervisory control, flotation machine, hierarchy of control parameters, situational control.

Anatoly V. Lednov

Ph.D. (Engineering), Associate Professor, Department of Informatics and Computer Engineering, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID: https://orcid.org/0000-0001-7614-0534.

Marat B. Muslimov

Chief metrologist, Automation and metrology department, JSC "Uchalinsky Gok", Uchaly, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

Oksana S. Logunova

D. Sc. (Engineering), Professor, Head of Department, Department of Informatics and Computer Engineering, Nosov Magnitogorsk State Technical University, Magnitogorsk. Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID: https://orcid.org/0000-0002-7006-8639.

Pavel Yu. Khudyakov

Ph.D. (Physics and Mathematics), Head of Department, Department of Mechanics and Automation of Technological Processes and Production, UMMC Technical University, Verkhnyaya Pyshma, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID: https://orcid.org/0000-0002-9609-7665.

Yuliya B. Kukhta

Ph.D. (Engineering), Associate Professor, Department of Informatics and Computer Engineering, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. E-mail:This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID: https://orcid.org/0000-0001-9128-3891.

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