DEVELOPMENT AND IMPROVEMENT OF AN INTELLIGENT IOT SENSOR AND ARTIFICIAL INTELLIGENCE-BASED SYSTEM FOR MONITORING AND FORECASTING DUST AND GAS CONDITIONS IN LARGE DEEP OPEN-PIT MINES
- Authors
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Mukhiddinov Khusniddin Oybek ogli
Master’s Degree Student, Department of Mining Engineering, Tashkent State Technical University (TSTU)
Author
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Khalmatov Ulugmurod Kahramon ogli
Master’s Degree Student, Department of Mining Engineering, Tashkent State Technical University (TSTU)
Author
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- Keywords:
- Open-pit mine, quarry, dust monitoring, gas monitoring, IoT sensors, artificial intelligence, environmental safety, forecasting, intelligent system, Smart Mining.
- Abstract
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This article investigates modern methods for monitoring and forecasting the dispersion of dust and gases in large open-pit mines. The impact of dust and harmful gases generated during mining operations on atmospheric air quality is analyzed from the perspectives of environmental safety and occupational health protection. The study examines the possibilities of real-time data collection, transmission, and processing using an Internet of Things (IoT) sensor network. In addition, a method for predicting dust and gas dispersion zones and identifying hazardous areas through the application of artificial intelligence algorithms is proposed. The proposed intelligent monitoring system enables environmental condition assessment based on the integrated analysis of meteorological parameters, dust concentration, and gas composition data. The research findings contribute to improving environmental safety in large open-pit mines, protecting workers' health, and optimizing dust suppression measures.
- References
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- Published
- 2026-06-09
- Issue
- Vol. 2 No. 6 (2026)
- Section
- Articles
- License
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This work is licensed under a Creative Commons Attribution 4.0 International License.
