BR24993051 — Development of an intelligent city system based on IoT and data analysis

Goal of the work: Development of an intelligent urban system using IoT technologies, data analysis to improve the quality of life of citizens, optimize urban infrastructure management, and promote the sustainable development of the city.

Relevance of the work: In modern society, citizens expect more comfortable, safe and environmentally friendly living conditions. IoT systems in smart cities can significantly improve urban resource management, reduce pollution, optimize traffic flows and improve safety, as well as provide faster and better access to important services, improving the daily lives of citizens. Businesses and government agencies are interested in optimizing costs and improving operational efficiency. IoT systems allow you to collect and analyze data in real time, which helps to improve management decisions and reduce operating costs. This makes business processes more efficient and economical, which is especially important in conditions of limited resources.

Scientific supervisor: Ph.D., Associate Professor, Kalpeeva Zhyldyz Beishenalieva

Results obtained:  During the reporting period, a comprehensive set of research activities was carried out aimed at the digital transformation of urban environment, healthcare, and infrastructure. IoT-based air quality monitoring systems were developed and deployed, along with machine learning algorithms for analyzing and forecasting environmental indicators based on sensor data. Digital solutions for cleanroom microclimate control were created, including databases, hardware-software modules, and climate system optimization algorithms. Mathematical models and digital services were implemented to optimize medical processes and day-care (hospital-substituting) services, improving resource utilization efficiency. A digital platform for citizen participation in urban governance was developed, together with Smart People–oriented recommendations to enhance urban livability. In addition, research and pilot implementations of telecommunications solutions (DAS, 5G) were conducted, demonstrating the effectiveness and applicability of the proposed approaches in dense urban environments.

List of publications with links to them

1. Boltaboyeva A., Baigarayeva Zh., Zhussupbekov S., Kalpeeva Zh., Uskenbaeva R. Maintaining cognitive integrity: An analysis of thermal stress in high-stakes clean room environments // International Journal of Innovative Research and Scientific Studies. – 2025. – Vol. 8, No. 5. – Pp. 2237–2250. DOI: 10.53894/ijirss.v8i5.9444. URL: https://www.ijirss.com/index.php/ijirss/article/view/9444/2119
2. Иманбек Б.Т., Байғараева Ж.Е., Қурманова Н.Н., Болтабоева А.К., Кальпеева Ж.Б. Инновационные подходы к мониторингу и управлению стерильными условиями в медицине с использованием ИИ и SCADA // ШҚТУ Хабаршысы. – 2025. – № 1. – С. 163–177. URL: https://storage.ektu.kz/nextcloud/index.php/s/ZF7RMnBMQ6C4Nx9
3. Kengesbayeva S., Razaque A., Smailov N., Uskenbaeva U.K., Kalpeyeva Z. Optimizing Resource Allocation for 5G Internet-of-Things Networks Using Machine Learning Techniques // IEEE SATC 2025 Proceedings. – Dayton, USA, 2025. – Pp. 1–5. DOI: 10.1109/SATC65530.2025.11137046. URL: https://ieeexplore.ieee.org/document/11137046
4. Базарбай Л., Алтайұлы А.Е., Өжікенов Қ.Ә., Тұрдалыұлы М., Мамырбаев О.Ж. Судың сапа көрсеткіштеріне температураның әсерін бағалау моделін әзірлеу // Вестник КазАТК. – 2025. – № 1 (136). – С. 336–345. DOI: 10.52167/1609-1817-2025-136-1-336-345. URL: https://vestnik.alt.edu.kz/index.php/journal/article/view/2180
5. Өскенбаева Р.Қ., Ізбағамбетов Н.А., Қалпеева Ж.Б., Болатбекова Р.О., Пазылов Ш.Т. Анализ оказания стационар-замещающей помощи в системном лечении онкологических пациентов в Алматинском онкологическом центре // Онкология и радиология Казахстана. – 2025. – № 2 (76). – С. 4–8. DOI: https://doi.org/10.52532/2521-6414-2025-2-76-516. URL: https://ojs.oncojournal.kz/index.php/oncol-and-radiol-of-kazakhstan/article/view/516/370
6. Иманбек Б.Т., Байғараева Ж.Е., Болтабоева А.К., Кальпеева Ж.Б., Копенов А.Б. Интеллектуальная система управления мониторинга и управления климатом в чистых помещениях на основе IoT и SCADA // Вестник Университета Шакарима. Серия технические науки. – 2024. – Т. 1, № 4(16). – С. 127–135. DOI: 10.53360/2788-7995-2024-4(16)-17. URL: https://tech.vestnik.shakarim.kz/jour/article/view/1557
7. Bazarbay L., Altay Y.A., Dosbayev Z.M. IoT Antenna Based Measuring System for Analytical Control // ADMInC 2024 Proceedings. – Saint Petersburg, 2024. – Pp. 72–75. DOI: 10.1109/ADMInC63617.2024.10775635. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10775635
8. Taissariyeva K., Tashtay E., Bekenov Y., Zhunis A., Zhengis B. Development and Detailed Modeling of Intelligent Telecommunication Networks Architecture // Труды университета. – 2025. – № 2 (99). – С. 441–448. URL: https://tu.kstu.kz/archive/issue/106?page=6
9. Досбаев Ж.М., Алтай Е.А., Ускенбаева Р.К., Кальпеева Ж.Б. Машиналық оқыту әдістері негізінде судың сапасын болжау: деректерді өңдеу және машиналық оқыту модельдерін салыстырмалы бағалау // Вестник Алматинского университета энергетики и связи. – 2025. – № 3 (70). URL: https://vestnik.aues.kz/index.php/none/article/view/1328/365
10. Кальпеева Ж., Саркамбаева Ш., Разак А., Элле В., Галымжанова А. Реализация концепции «Умного города» в Алматы: измерения, текущее состояние и восприятие жителей // Государственное управление и государственная служба. – 2025. – № 3 (94). – С. 121–132. DOI: 10.52123/1994-2370-2025-1533. URL: https://journal.apa.kz/index.php/path/article/view/1533
11. Yeldos A., Bazarbay L., Ozhikenov K., Dosbayev Z., Nakan U., Kalpeyeva Z. Correlation and regression analysis in assessing the relationship between water indicators // Technology Audit and Production Reserves. – 2025. – Vol. 1, No. 2(81). – Pp. 49–53. DOI: 10.15587/2706-5448.2025.323730. URL: https://journals.uran.ua/tarp/article/view/323730
12. Тайсариева К.Н., Таштай Е., Бекенов Е., Джахметов А. 5G желілерінде IoT трафигінің өткізу қабілетін болжау үшін LSTM алгоритмін қолдануды зерттеу // Торайғыров университетінің хабаршысы. – 2025. – № 3. DOI: 10.48081/YKOW1325. URL: https://vestnik-energy.tou.edu.kz/storage/journals/181.pdf
13. Таштай Е., Тайсариева К.Н., Дурмагамбетов Е.Д., Бекенов Е.Е., Мубарак Б.Е. Моделирование и влияние фазового шума в системе 5G OFDM // Научные труды ВИИРЭиС. – 2025. – № 3 (61). – С. 154–162.
14. Патент на полезную модель № 10971 от 08.08.2025. Система управления и мониторинга качеством воздуха / Иманбек Б.Т. и др. URL: https://gosreestr.kazpatent.kz/Utilitymodel/Details?docNumber=424833
15. Авторское свидетельство № 61150 от 01.08.2025. Интегрированная система экологического мониторинга и управления данными об источниках загрязнения на основе интернета вещей / Мауленбеков М.А. и др. URL: https://copyright.kazpatent.kz/?!.iD=wQEy
16. Авторское свидетельство № 58213 от 19.05.2025. Чистая_Комната / Қурманова Н.Н., Молдагулова А.Н., Иманбек Б.Т. URL: https://copyright.kazpatent.kz/?!.iD=wQEy