kaz44Вестник Университета Шакарима. Серия технические наукиBulletin of Shakarim University. Technical Sciences2788-79953006-0524«Шәкәрім университеті» КеАҚ10.53360/2788-7995-2025-3(19)-18kaz44-2072Research ArticleАВТОМАТИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ (ОРИГИНАЛЬНАЯ СТАТЬЯ)AUTOMATION AND INFORMATION TECHNOLOGY (ORIGINAL ARTICLE)СИСТЕМА ПОДДЕРЖКИ ПРИНЯТИЯ РЕШЕНИЙ С ЭЛЕМЕНТАМИ ИНТЕЛЛЕКТУАЛИЗАЦИИ ДЛЯ УПРАВЛЕНИЯ ПРОЦЕССОМ ПРОИЗВОДСТВА НЕФТЯНОГО КОКСАDECISION SUPPORT SYSTEM WITH INTELLECTUALIZATION ELEMENTS FOR MANAGING THE PETROLEUM COKE PRODUCTION PROCEShttps://orcid.org/0000-0003-1029-6266АсановаБ. У.AssanovaB.

Бактыгул Асанова – ассоцированный профессор, PhD, декан факультета физики, математики и информационных технологий

E01Y6P0, Республика Казахстан, г. Атырау, пр. Студенческий, 212 

Baktygyl Assanova – PhD, assoc.professor, dean of the Faculty of Physics, Mathematics and Information Technology

E01Y6P0, Republic of Kazakhstan, Atyrau, Student Ave., 212

baha1981_13@mail.ruhttps://orcid.org/0000-0003-2109-6999ОразбаевБ.OrazbayevB.

Батыр Оразбаев – доктор техническитх наук, профессор, профессор кафедры «Системный анализ и управление» 

Z01A3D7, Республика Казахстан, г. Астана, ул. К. Сатпаева, 2

Batyr Orazbayev – Doctor of Science, Professor

Z01A3D7, Republic of Kazakhstan, Astana, st. K. Satpayev, 2

batyr_o@mail.ruhttps://orcid.org/0000-0002-0559-3410МолдашеваЖ.MoldashevaZh.

Жадра Молдашева – PhD, ассоцированный профессор кафедры «Программная инженерия»

E01Y6P0, Республика Казахстан, г. Атырау, пр. Студенческий, 212 

Zhadra Moldasheva – PhD, assoc. prof. 

E01Y6P0, Republic of Kazakhstan, Atyrau, Student Ave., 212

zhadira1985@mail.ruhttps://orcid.org/0000-0001-7494-5208ШангитоваЖ.ShangitovaZh.

 Жанна Шангитова – PhD, ассоцированный профессор кафедры «Программная инженерия» 

E01Y6P0, Республика Казахстан, г. Атырау, пр. Студенческий, 212 

Zhanna Shangitova – PhD, assoc. prof.

E01Y6P0, Republic of Kazakhstan, Atyrau, Student Ave., 212

zhanna.shangitova@mail.ruhttps://orcid.org/0009-0004-1125-8696КушубаеваА.KishubayevaA.

Алтынай Кишубаева - докторант 

S14P3K7, Республика Казахстан, г. Павлодар, улица Ломова, 64

Altynay Kishubayeva - doctoral student 

S14P3K7, Republic of Kazakhstan, Pavlodar, st. Lomov, 64 

Altynai_999@mail.ruАтырауский университет имени Х. ДосмухамедоваКазахстанKh. Dosmukhamedov Atyrau UniversityKazakhstanЕвразийский национальный университет имени Л.Н. ГумилеваКазахстанL.N. Gumilyov Eurasian National UniversityKazakhstanТорайгыров УниверситетКазахстанToraighyrov UniversityKazakhstan20250311202503(19)162173Copyright © Асанова Б.У., Оразбаев Б., Молдашева Ж., Шангитова Ж., Кушубаева А., 20252025Асанова Б.У., Оразбаев Б., Молдашева Ж., Шангитова Ж., Кушубаева А.Assanova B., Orazbayev B., Moldasheva Z., Shangitova Z., Kishubayeva A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://tech.vestnik.shakarim.kz/jour/article/view/2072

В данном исследовании создана система поддержки принятия решений с элементами интеллектуализации для управления процессом производства нефтяного кокса основанная на разработанные модели основных агрегатов установки замедленного коксования (УЗК) с учетой нечеткой информации от экспертов. Дано описание основных интерфейсов созданной интеллектуализированной системы поддержки принятия решений (ИСППР) c помощью которых пользователь системы моделирует различные режимы работы основных агрегатов УЗК, оптимизирует их параметров и эффективно управляет процессом производства кокса. Пользователь с помощью созданной ИСППР по разным критериям может управлять процессом производства кокса в зависимости от спроса на объем и требований к качеству кокса. Используя ИСППР пользователь системы может максимизировать объемы производимого кокса с требуемыми качественными показателями или обеспечить требуемый объем кокса с наилучшими качественными поазателями. В отличие от других систем, основанные на известные детерминированные модели УЗК, созданная ИСППР позволяет более адекватно моделировать, эффективно оптимизировать и управлять режимами работы УЗК. На основе сравнеие результатов моделирования для оптимизации режимов работы УЗК с использованием созданной ИСППР, известных систем детеминированного моделирования и оптимизации установлены преимущества созданной системы по сравнению известными аналогмичными системами.

In this study, a decision support system with intellectualization elements was created to control the petroleum coke production process based on the developed models of the main units of the delayed coking unit (УЗК) taking into account fuzzy information from experts. A description of the main interfaces of the created intelligent decision support system (IDSS) is given, with the help of which the user of the system models various operating modes of the main УЗК units, optimizes their parameters and effectively controls the coke production process. Using the created IDSS, the user can control the coke production process according to various criteria depending on the demand for volume and requirements for coke quality. Using the IDSS, the user of the system can maximize the volumes of coke produced with the required quality indicators or provide the required volume of coke with the best quality indicators. Unlike other systems based on known deterministic УЗК models, the created IDSS allows more adequate modeling, effective optimization and control of УЗК operating modes. Based on the comparison of the simulation results for optimizing the УЗК operating modes using the created ISPR, known systems of deterministic simulation and optimization, the advantages of the created system in comparison with known similar systems were established.

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The authors declare that there are no conflicts of interest present.