Functional structure of intelligent control over complex mining-and-metallurgical facilities: Analytical review

Authors: Trofimov V.B.

The article reviews the functional structures of intelligent control systems applicable in the mining and metallurgical industry. Their application expedience is governed by the complexity of processes in objects which function in difficult conditions, and by creation of rich real-time data bases. Complex processes feature high dimensionality, transiency, long-term dynamic memory, wide spreading of parameters, and harsh noise in measurement information. The process equipment, production lines and work shops in the mining and metallurgical industry represent mostly complex automation facilities. Efficient control of complex processes requires adequately complex intelligent systems. The article identifies the role of the intelligent data bases in the control systems and describes the variety of possible control actions depending on information awareness on a control subsystem. The use of different mechanisms of logical inference improves control optimization. Industrial intelligent control systems have a hierarchical arrangement which is structured using the systemic approach, advanced computer engineering and artificial intelligence. These systems perform various functions such as dynamic control, dispatching, trouble-shooting and production planning with regard to high intensity of process flows, as well as their scales, duration, discontinuity and flexibility.

Keywords: control, database, logical inference mechanism, artificial intelligence, hierarchical arrangement, model, prediction, production facility.
For citation:

Trofimov V. B. Functional structure of intelligent control over complex miningand-metallurgical facilities: Analytical review. MIAB. Mining Inf. Anal. Bull. 2022;(2):150-168. [In Russ]. DOI: 10.25018/0236_1493_2022_2_0_150.

Acknowledgements:
Issue number: 2
Year: 2022
Page number: 150-168
ISBN: 0236-1493
UDK: 004.896:622
DOI: 10.25018/0236_1493_2022_2_0_150
Article receipt date: 24.11.2021
Date of review receipt: 10.12.2021
Date of the editorial board′s decision on the article′s publishing: 10.01.2022
About authors:

V.B. Trofimov, Cand. Sci. (Eng.), Assistant Professor, National University of Science and Technology «MISiS», 119049, Moscow, Russia, e-mail: trofimov_vbt@mail.ru, ORCID ID: 0000-0001-9321-8081, https://elibrary.ru/author_profile.asp?id=180787, https://www.scopus.com/authid/detail.uri?authorId=22636050400.

 

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