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Related Experiment Video

Updated: Aug 19, 2025

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

Published on: June 12, 2019

Connotation, characteristics and framework of coal mine safety big data.

Wanguan Qiao¹, Xue Chen²

¹School of Economics and Management, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, 221116, China.

|December 2, 2022

Summary

This study explores coal mine safety big data (CMSBD), redefining its meaning and framework. It highlights CMSBD

Keywords:

CMSBD Data-driven Management connotation Research paradigm Safety features

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Area of Science:

Mining Engineering
Data Science
Safety Management

Background:

Automation and information technology generate vast safety data in coal production.
Current practices often lack systematic big data analysis, focusing on basic statistics.
A need exists to systematically study coal mine safety using big data approaches.

Purpose of the Study:

To redefine the connotation of coal mine safety big data (CMSBD).
To analyze the characteristics and compare the advantages/disadvantages of big data models in safety.
To design a research paradigm and technical framework for CMSBD.

Main Methods:

Redefinition of safety entities and methods for CMSBD.
Comparative analysis of big data models based on feature analysis.
Design of a research paradigm and technical framework for CMSBD.

Main Results:

The management connotation of CMSBD emphasizes its role in enhancing coal mine safety.
CMSBD presents both advantages and disadvantages when compared to coal mine safety small data (CMSSD).
A combined approach using both big data and small data methods is necessary for CMSBD.

Conclusions:

CMSBD requires a fusion of big data analytics with traditional small data models.
The research paradigm emphasizes interdisciplinary research, safety thinking, and data analysis.
Effective utilization of CMSBD necessitates integrating its unique characteristics with established methodologies.