SANOAT ZONALARIDA SUV IFLOSLANISHINING OLDINI OLISH VA IFLOSLANGAN SUVNI TOZALASHDA IOT TEXNOLOGIYALARIDAN FOYDALANISH
Keywords:
Sanoat oqava suvlari, IoT, real vaqt monitoringi, ifloslanishni oldini olish, aqlli sensorlar, avtomatlashtirilgan tozalash, barqaror suv boshqaruviAbstract
Sanoat zonalari ekologik suv ifloslanishining asosiy manbalaridan biri hisoblanadi. An’anaviy nazorat va tozalash tizimlari real vaqt rejimida ishlamaydi, bu esa ifloslanishning o‘z vaqtida aniqlanmasligiga olib keladi. Ushbu maqolada Internet of Things (IoT) texnologiyasi yordamida sanoat hududlarida suv ifloslanishini qanday oldini olish mumkinligi hamda tozalash jarayonini qanday optimallashtirish mumkinligi ko‘rib chiqiladi. Aqlli sensorlar, avtomatik ma’lumot yig‘ish, bulutli tahlil va prognozlash asosida ifloslanishning oldini olish imkoniyati yaratiladi. Ushbu yondashuv ekologik barqarorlik va sanoatning ekologik me’yorlarga mos faoliyat yuritishini ta’minlaydi
References
1. Gupta, R., & Kumar, M. (2020). IoT-Based Wastewater Monitoring System. Environmental Technology & Innovation, 18, 100720.
2. Singh, A., & Sharma, S. (2018). Industrial Wastewater Treatment Using Smart Sensors. International Journal of Environmental Sciences, 13(2), 45–50.
3. Zhou, X., et al. (2021). Intelligent Water Quality Monitoring and Predictive Maintenance via IoT. Journal of Cleaner Production, 281, 124570.
4. UNESCO (2024). World Water Development Report: Water for a Sustainable World. Paris: UNESCO Publishing.
5. Chen, Y., Liu, Q., & Zhang, L. (2019). Smart Environmental Monitoring System Based on IoT. Sensors and Actuators B: Chemical, 296, 126630.
6. Ahmad, S., & Malik, M. (2021). Review on Emerging IoT Applications for Water Quality Monitoring. International Journal of Advanced Computer Science and Applications, 12(5), 205–212.
7. Khatri, R. K., & Vyas, D. (2020). Role of IoT in Water Pollution Monitoring and Management. Journal of Environmental Management and Technologies, 8(3), 125–131.
8. Yang, T., & Wang, H. (2022). Cloud-Based Real-Time Water Quality Management for Industrial Areas. Environmental Engineering and Management Journal, 21(1), 57–65.
9. Xasanovich, S. E. (2023). Neural Network Model of Energy Saving of Combined Drum Dryer. Texas Journal of Engineering and Technology, 20, 45-50. URL: https://zienjournals.com/index.php/tjet/article/view/4060
10. Xasanovich, S. E. (2023). Neural Network Model of Sunflower Seed Drying Process in Combined Drum Dryer. Eurasian Journal of Engineering and Technology, 18, 45-49. URL:https://www.geniusjournals.org/index.php/ejet/article/view/4211





