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Integrated Action Algorithm for Saving Human Life in Extreme Mining Conditions

Nizamova Dilrabo OdilovnaAssociate Professor, Department of "Life Safety", Faculty of "Geology-Prospecting and Mining-Metallurgy", Tashkent State Technical UniversityMamasoliyeva Shoxista AbdugapparovnaHead Teacher, Department of "Public Health and Healthcare Management", Samarkand State Medical UniversityAsatova Nafisa BoxodirovnaAssociate Professor, Department of "Microbiology, Immunology with the Basics of Molecular Genetics", Center for the Development of Professional Qualification of Medical WorkersAkhmadalieva Nigora OdilovnaDSc, Associate Professor, Department of "Environmental Hygiene Department", Tashkent State Medical UniversityKomilova Nilufar KarshiboevnaDoctor of Geographical Sciences, Professor, Department of "Ecology", National University of Uzbekistan named after Mirzo UlugbekFakhriddinova Shakhnoza FakhriddinovnaAssistant, Department of "Epidemiology", Bukhara State Medical Institute named after Abu Ali ibn Sino, Bukhara, UzbekistanSafarova Sanobar OmontashevnaAssociate Professor, National Pedagogical University of Uzbekistan named after Nizami
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The work considers the issues of improving the system of providing quick and effective assistance to workers in extreme and crisis situations in coal mines. Hazardous situations such as fires, gas explosions, landslides and dust explosions pose a serious threat to human life and health. Traditional systems often depend on human factors, leading to delays and errors. The study proposes an integrated algorithm based on innovative approaches that monitors environmental hazards and the biometric status of the worker in real time. The algorithm includes the stages of emergency detection, assessment of the worker's condition, automatic signaling, remote indications, evacuation and medical monitoring. Through its implementation at the Angren coal mine, the assistance time was reduced from 15– 20 minutes to 3–5 minutes, which significantly increased the chances of saving lives.

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