DEVELOPMENT OF AN AUTOMATED SMART SYSTEM FOR AIR PURIFICATION IN AN URBAN ENVIRONMENT

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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Publication Details

Journal
Herald of Kazakh-British technical university
Published
2025-03-24
DOI
https://doi.org/10.55452/1998-6688-2025-22-1-114-135
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

DEVELOPMENT OF AN AUTOMATED SMART SYSTEM FOR AIR PURIFICATION IN AN URBAN ENVIRONMENT

Зарина Самигулина, A. A. Evloev, Diana Zakir, D A. Sardarbekova et al.
Herald of Kazakh-British technical university
Air Quality Monitoring and Forecasting
article

DEVELOPMENT OF AN AUTOMATED SMART SYSTEM FOR AIR PURIFICATION IN AN URBAN ENVIRONMENT

Зарина Самигулина, A. A. Evloev, Diana Zakir, D A. Sardarbekova, D. O. Nurkeev
article en

Abstract

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.

Herald of Kazakh-British technical universityVol. 22(1)
Kazakh-British Technical University (KZ)
Openalex Percentile: Top 94%
Air Quality Monitoring and Forecasting
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