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MITIGATION OF INDUSTRIAL RISKS BASED ON AUTOMATED MONITORING AND INTELLIGENT ANALYSIS

Sunnatilla GaibnazarovTashkent state technical university, dean of the faculty «Geology-exploration and mining-metallurgy», doctor of technical sciences
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Abstract

The article examines modern approaches to ensuring labor safety within the context of industrial digitalization. Special emphasis is placed on intelligent management systems and automated control methods, as well as their contribution to improving industrial safety. The study assesses the effectiveness of applying artificial intelligence, sensor technologies, and real-time monitoring systems for observing working conditions and predicting risks. Mathematical models for evaluating hazard levels are proposed, and traditional and digital approaches are compared. The results indicate that implementing intelligent management and automated control systems helps reduce risks, decrease the number of accidents, and minimize errors associated with the human factor.

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