kaz29Вестник Казахстанско-Британского технического университетаHerald of the Kazakh-British Technical University1998-66882959-8109Казахстанско-Британский Технический Университет10.55452/1998-6688-2025-22-1-114-135kaz29-1737Research ArticleКОМПЬЮТЕРНЫЕ НАУКИCOMPUTER SCIENCEРАЗРАБОТКА АВТОМАТИЗИРОВАННОЙ ИНТЕЛЛЕКТУАЛЬНОЙ СИСТЕМЫ ОЧИСТКИ ВОЗДУХА В ГОРОДСКОЙ СРЕДЕDEVELOPMENT OF AN AUTOMATED SMART SYSTEM FOR AIR PURIFICATION IN AN URBAN ENVIRONMENThttps://orcid.org/0000-0002-5862-6415СамигулинаЗ. И.SamigulinaZ. I.

 PhD (доцент), профессор 

 г. Алматы 

 PhD, professor 

 Almaty 

z.samigulina@kbtu.kzhttps://orcid.org/0009-0005-2645-2309ЕвлоевА. А.EvloevA. A.

 магистр 

 г. Алматы 

 Master’s student 

 Almaty 

abdulvogopovich@mail.ruhttps://orcid.org/0009-0001-8223-3507Закирд Н.ZakirD. N.

 магистр 

 г. Алматы 

 Master’s student 

 Almaty 

dia_zakir@kbtu.kzhttps://orcid.org/0009-0006-7732-3387СардарбековаД. А.SardarbekovaD A.

 магистр 

 г. Алматы 

 Master’s student 

 Almaty 

d_sardarbekova@kbtu.kzhttps://orcid.org/0009-0001-9478-8884НуркеевД. О.NurkeevD. O.

 магистр 

 г. Алматы 

 Bachelor’s student 

 Almaty 

daniyar.nurkeev@axellect.comКазахстанско-Британский технический университетКазахстанKazakh-British Technical UniversityKazakhstan202524032025221114135Copyright © Самигулина З.И., Евлоев А.А., Закир д.Н., Сардарбекова Д.А., Нуркеев Д.О., 20252025Самигулина З.И., Евлоев А.А., Закир д.Н., Сардарбекова Д.А., Нуркеев Д.О.Samigulina Z.I., Evloev A.A., Zakir D.N., Sardarbekova D.A., Nurkeev D.O.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.kbtu.edu.kz/jour/article/view/1737

Статья посвящена разработке автоматизированной системы управления процессом аминовой очистки загазованных смесей, применяемой в промышленности для удаления сероводорода и других кислых газов из газовых потоков. Исследование проводилось на основе базы данных об уровне загрязнения воздуха в городе Алматы. Осуществлено исследование математической модели, полученной методом Симоя, на устойчивость. Синтезирован регулятор. Проведен сравнительный анализ эффективности ПИ и ПИД регулятора для данной модели. Программная реализация осуществлялась на основе оборудования от компании Schneider Electric в лаборатории «Industrial Automation Lab» АО «КБТУ». Система автоматизации построена на базе контроллера Modicon M340 фирмы Schneider Electric и панели управления Harmony 6400 с помощью программных продуктов EcoStruxure Control Expert, EcoSructure Operator Terminal Expert. Анализ концентрации вредных веществ в воздухе осуществлялся на основе метода искусственного интеллекта ARIMA (Autoregressive Integrated Moving Average).

This article presents the development of an automated control system for the process of amine purification of polluted mixtures, a critical industrial process for removing hydrogen sulfide and other acid gases from gas streams. To emphasize the relevance and significance of this study, a preliminary analysis was conducted utilizing databases on pollution levels in the city of Almaty. The analysis provided valuable insights into the current environmental conditions and underscored the necessity of implementing effective purification technologies. The mathematical modeling of the amine purification process was carried out using the Simou method, resulting in an accurate transition function for the system. The parameters of the mathematical model were determined, and an in-depth analysis was performed to evaluate the stability, controllability, and observability of the system. These analytical procedures were executed using MATLAB software. To enhance system performance, PI and PID regulators were synthesized and evaluated. The simulation results guided the practical implementation of the automation system, utilizing the Modicon M340 programmable logic controller from Schneider Electric and the Harmony 6400 control panel. A visualization system for the amine purification process was developed using a mnemonic circuit that includes a control panel, an indicator panel, and graphical representations of key process parameters. The EcoStruxure Control Expert and EcoStruxure Terminal Expert software were employed to design and optimize this visualization system, ensuring user-friendly and efficient monitoring and control. In addition to addressing industrial process needs, a Smart City concept was developed as part of the research. This concept leverages the ARIMA (Autoregressive Integrated Moving Average) artificial intelligence method to analyze the concentration of harmful substances in the air. By integrating this analysis, the study aims to contribute to broader urban environmental management efforts. The outcomes of this work highlight significant advancements in industrial gas purification technology and its applications in environmental management, contributing to the development of sustainable and efficient solutions for modern industry.

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