Study on spatial and temporal distribution of coal mine accident hazards based on enterprise characteristic information

Based on the big data of hidden dangers of coal mine accidents, revealing the temporal and spatial distribution characteristics of hidden dangers of coal mine accidents can not only provide important and comprehensive information for the investigation, treatment and management decisions of hidden dangers of coal mine accidents, but also improve the understanding and cognition level of coal mine safety management personnel on hidden dangers of coal mine accidents. Combined with the characteristic information of coal mining enterprises, this study analyzes the historical data of coal mine accident hazards from 2017 to 2022 by using visualization methods and statistical analysis methods such as box chart, Sankey chart and area chart, and excavates the spatial and temporal distribution law of coal mine accident hazards. The results show that: based on the characteristic information of coal mine enterprises, the standardized value of unit coal mine accident hidden danger has different change trend and difference in different years and different regions, which can provide guidance for formulating targeted and effective coal mine accident hidden danger investigation program and policy.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.13347/j.cnki.mkaq.20240721
Primary Topic
Safety and Risk Management
Type
article
Field-Weighted Citation Impact
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article

Study on spatial and temporal distribution of coal mine accident hazards based on enterprise characteristic information

SHILAP Revista de lepidopterología
Safety and Risk Management
article

Study on spatial and temporal distribution of coal mine accident hazards based on enterprise characteristic information

article en

Abstract

Based on the big data of hidden dangers of coal mine accidents, revealing the temporal and spatial distribution characteristics of hidden dangers of coal mine accidents can not only provide important and comprehensive information for the investigation, treatment and management decisions of hidden dangers of coal mine accidents, but also improve the understanding and cognition level of coal mine safety management personnel on hidden dangers of coal mine accidents. Combined with the characteristic information of coal mining enterprises, this study analyzes the historical data of coal mine accident hazards from 2017 to 2022 by using visualization methods and statistical analysis methods such as box chart, Sankey chart and area chart, and excavates the spatial and temporal distribution law of coal mine accident hazards. The results show that: based on the characteristic information of coal mine enterprises, the standardized value of unit coal mine accident hidden danger has different change trend and difference in different years and different regions, which can provide guidance for formulating targeted and effective coal mine accident hidden danger investigation program and policy.

SHILAP Revista de lepidopterología
China University of Mining and Technology (CN), Huaneng Clean Energy Research Institute (CN), Shaanxi Coal Chemical Industry Technology Research Institute (CN), Huainan Mining Industry Group (China) (CN)
Openalex Percentile: Top 49%
Safety and Risk Management
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