Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
cетевое издание
issn 2310-6018

Automated process control system for obtaining elemental sulfur based on risk assessment

Pechenkin D.V.   Dmitrievsky B.S.   Shcherbatov I.A.  

UDC 658.5.012.011.56
DOI: 10.26102/2310-6018/2020.30.3.008

  • Abstract
  • List of references
  • About authors

We consider this type of management objects, the functioning of which occurs under various types of uncertainty and requires the development of a specific approach to management, analysis and evaluation of a variety of factors that affect the work and are not amenable to quantitative and qualitative description. In this paper, the task of controlling the technological process of obtaining sulfur is formulated. The analysis of the technological installation for obtaining elemental sulfur by the Claus method as a control object is carried out. Risk factors for the process under consideration are highlighted. A model for identifying the current state of the control object is proposed. The algorithm of management intellectualization, which acts as a base for the developed expert subsystem, is synthesized. The structure and order of functional interaction of the expert subsystem of the automated process control system with the decision-maker is given. The author developed an algorithmic support for the expert subsystem of the automated control system for the technological process of sulfur production, designed for integration into the operating environment of the operator's automated workplace. The efficiency of the synthesized expert subsystem is evaluated by using a training simulator that simulates the operation of the control panel of the process unit for obtaining elemental sulfur using the Claus method. Based on the results of modeling 35 emergencies, 100% were identified by the expert subsystem, of which 28% were prevented at an early stage by implementing the generated recommendations.

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Pechenkin Denis Vladimirovich

Email: pechenkin1@gmail.com

Astrakhan State Technical University

Astrakhan, Russian Federation

Dmitrievsky Boris Sergeevich
Professor
Email: dmiboris@yandex.ru

Tambov State Technical University

Tambov, Russian Federation

Shcherbatov Ivan Anatolevich
Candidate of Technical Sciences Associate Professor
Email: ShcherbatovIA@mpei.ru

National Research University "MPEI"

Moscow, Russian Federation

Keywords: automation, sulfur production, claus method, technological process, emergency, fuzzy logic, mamdani

For citation: Pechenkin D.V. Dmitrievsky B.S. Shcherbatov I.A. Automated process control system for obtaining elemental sulfur based on risk assessment. Modeling, Optimization and Information Technology. 2020;8(3). Available from: https://moit.vivt.ru/wp-content/uploads/2020/08/PechenkinSoavtors_3_20_1.pdf DOI: 10.26102/2310-6018/2020.30.3.008 (In Russ).

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