STATISTICAL ANALYSIS AND QUANTIFICATION OF RISK DANGERS OF INJURIES
Uakhitova B.T. Zhokanov R.A. Sarkulova Z.S. Taizhigitova M.M. Kurbangaliyеva N.B.
2023National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2023#5Issue 461230 - 241 pp.
The article discusses the issues of injury analysis, an assessment of the risk of danger at the Aktobe ferroalloy plant of the Republic of Kazakhstan. The study took into account statistical materials on injuries for the period from 2012 to 2020. From the statistical analysis of accidents, it was revealed that the most traumatic experience is from 1 to 2 years, when a specialist is becoming a specialist and adapting to working conditions. The most traumatic profession is committed to workers of dangerous professions, such as ferroalloy smelters (26.5 %), repairmen (20.5 %), ferroalloy breakers (12 %), gas-electric welders (12 %). The study was conducted using the Kinney hazard risk quantification method, where the threshold indicator is a number of 70 points. Therefore, this method was used for research to determine the risk of danger at the Aktobe ferroalloy Plant. A quantitative assessment of the risk of danger identifies the causes, sources of risk and the magnitude of the likely consequences. It is established that the main danger for the manifestation of injuries at the Aktobe ferroalloy plant is the event number 23 (other). This accounts for 11 cases or almost 32.4 % of the total number of accidents during the study period, i.e. from 2012 to 2020. The same series includes event number 06 (exposure to extreme temperatures) – 17.6 %, 15 (falling (uneven and slippery surfaces)) – 11.8 % and number 04 (impact of moving, rotating, flying objects) – 11.8 %. Based on this, a quantitative assessment of the risk of injury hazard was carried out for hazardous event 23 (others, etc.). It was found that the risk of accidents and accidents at this hazardous production facility by factor 23 (others) is acceptable.
accident , dangerous professions , injury , Kinney method , occupational safety , production , risk , statistical method
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Zhubanov Aktobe Regional University, Aktobe, Kazakhstan
Zhubanov Aktobe Regional University
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