Cause analysis of coal mine accidents in China based on principal component analysis
DOI:
https://doi.org/10.62051/ajmse.v1n1.01Keywords:
Coal mine accident, SPSS, Emergency management, Monitoring and early warningAbstract
In order to explore the correlation between various types of coal mine accidents in China, and based on the accident data of Henan Province from 2009 to 2023 from the National Coal Mine Safety Administration and the Coal mine Safety Network, the principal component analysis method in SPSS26.0 statistical software was used to carry out a statistical analysis of the main types of coal mine death accidents in the past 15 years. The two main components of coal mine accidents are calculated, and then the main roof and gas accidents are analyzed and identified, and the correlation between the types of accidents is determined, which provides guidance for the development of corresponding coal mine accident prevention measures in the future.
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