RESEARCH ON THE EFFECTIVENESS OF A DRONE FOR MONITORING WORKING CONDITIONS AND TECHNOLOGICAL SAFETY AT MINING AND METALLURGICAL COMPLEX ENTERPRISES
DOI:
https://doi.org/10.32782/3041-2080/2026-7-23Keywords:
unmanned aerial vehicles, working conditions monitoring, technogenic safety, mining and metallurgical complex, sensor systems, efficiency, cyber-physical systems, industrial risks, occupational safetyAbstract
The article investigates the effectiveness of using unmanned aerial vehicles (UAVs) for monitoring working conditions and technogenic safety parameters at mining and metallurgical enterprises. The relevance of transitioning from traditional discrete control methods to continuous cyber-physical monitoring of the industrial environment is substantiated. A conceptual and analytical model of the monitoring system is proposed, in which the UAV is considered a mobile sensing agent capable of ensuring spatio-temporal continuity of data collection. A multi-criteria performance evaluation system is developed, including indicators of accuracy, responsiveness, spatial coverage, reliability, energy efficiency, and adaptability. It has been established that operational factors, including temperature, dust concentration, vibrations, and electromagnetic interference, have a nonlinear impact on the metrological characteristics of sensor systems, leading to increased measurement errors. It is demonstrated that the use of UAVs reduces data acquisition time by 1.5–2 times, provides a spatial coverage coefficient of up to 0.8–0.9, and increases the reliability of hazardous factor detection. At the same time, a trade-off between platform speed and measurement accuracy is identified, which requires optimization of flight modes and the use of adaptive control algorithms. The economic efficiency of implementing UAV technologies is assessed, showing that it is formed both through the reduction of labor costs and measurement time, and through the decrease in industrial risks. The payback period of the system is estimated at 1.5–3 years. Recommendations for integrating UAVs into occupational safety management systems are developed based on the principles of multi-level integration, adaptive monitoring, and data-driven risk management
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