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Abstract
This article examines the development of an energy-independent intelligent system for the continuous monitoring of environmental parameters. The system is capable of measuring and analyzing temperature, relative air humidity, atmospheric pressure, harmful gas concentrations, aerosols, PM2.5 and PM10 particles, and soil moisture in real time. The device is based on IoT technologies, microprocessor control, web technologies, and artificial intelligence algorithms. The power supply is organized using solar panels, ensuring the system operates independently of the external power grid. The analytical module based on artificial intelligence allows for the processing, storage, and visualization of data obtained from sensors, as well as the assessment of the environmental situation.
References
1. O'zbekiston Respublikasi Prezidentining 2020-yil 5-oktabrdagi PF–6079-son Farmoni "Raqamli O'zbekiston – 2030" strategiyasini tasdiqlash va uni samarali amalga oshirish chora-tadbirlari to'g'risida". – Toshkent, 2020.
2. Mirziyoyev Sh. M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
3. World Health Organization. WHO Global Air Quality Guidelines: Particulate Matter (PM2.5 and PM10), Ozone, Nitrogen Dioxide, Sulfur Dioxide and Carbon Monoxide. – Geneva: World Health Organization, 2021. – 273 p.
4. World Meteorological Organization. State of the Global Climate 2024. – Geneva: WMO, 2025. – 56 p.
5. International Energy Agency. Renewables 2024: Analysis and Forecast to 2030. – Paris: IEA, 2024. – 238 p.
6. United States Environmental Protection Agency. Air Sensor Guidebook. 2nd ed. – Washington, DC: U.S. EPA, 2022. – 96 p.
7. Al-Fuqaha A., Guizani M., Mohammadi M., Aledhari M., Ayyash M. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications // IEEE Communications Surveys & Tutorials. – 2015. – Vol. 17, No. 4. – P. 2347–2376.
8. Gubbi J., Buyya R., Marusic S., Palaniswami M. Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions // Future Generation Computer Systems. – 2013. – Vol. 29, No. 7. – P. 1645–1660.
9. Li S., Xu L. D., Zhao S. The Internet of Things: A Survey // Information Systems Frontiers. – 2015. – Vol. 17, No. 2. – P. 243–259.
10. Ray P. P. A Survey on Internet of Things Architectures // Journal of King Saud University – Computer and Information Sciences. – 2018. – Vol. 30, No. 3. – P. 291–319.
11. Russell S., Norvig P. Artificial Intelligence: A Modern Approach. 4th ed. – Hoboken: Pearson, 2021. – 1136 p.
12. Варламова Л.П., Рахимова М.М.Интеграция IoT-технологий в системе управления микроклиматом на основе математического моделирования // Образование и наука в XXI веке. — 2025. — Вып. 66-1, т. 1. — ст. 368–377.
13. Bishop C. M. Pattern Recognition and Machine Learning. – New York: Springer, 2006. – 738 p.
14. Bosch Sensortec GmbH. BME280 Combined Humidity and Pressure Sensor. Datasheet. – Bosch Sensortec, 2022. – 55 p.
15. Espressif Systems. ESP32 Series Datasheet. Version 5.0. – Shanghai: Espressif Systems, 2023. – 76 p.
16. Plantower Co., Ltd. PMS5003 Series Data Manual. – Beijing: Plantower, 2023. – 10 p.
17. Zhengzhou Winsen Electronics Technology Co., Ltd. MQ-135 Gas Sensor Manual. – Zhengzhou: Winsen Electronics, 2021. – 6 p.
18. Copernicus Atmosphere Monitoring Service. European Air Quality Forecasts and Atmospheric Monitoring Reports. – Reading: European Centre for Medium-Range Weather Forecasts (ECMWF), 2024.
19. ISO 37120:2018. Sustainable Cities and Communities — Indicators for City Services and Quality of Life. – Geneva: International Organization for Standardization, 2018.