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Data on methane concentration collected by underground coal mine sensors
Michał Kozielski1, Marek Sikora1, Łukasz Wróbel1
1Department of Computer Networks and Systems, Silesian University of Technology, Akademicka 16, Gliwice 44-100, Poland.
Data in Brief
|October 27, 2021
Summary
This study introduces a dataset from an underground coal mine, crucial for monitoring hazardous gas concentrations like methane. This data aids in preventing explosions and supports various analytical tasks for enhanced mine safety.
Area of Science:
- Mining Engineering
- Environmental Monitoring
- Data Science
Background:
- Coal mining presents inherent hazards, including dangerous gas concentrations such as methane.
- Active monitoring systems are essential for underground mine safety, primarily for detecting gases to prevent explosions.
- A dataset was collected from 28 sensors in an underground coal mine to analyze these conditions.
Purpose of the Study:
- To provide a raw data set from an underground coal mine environment.
- To enable analytical tasks for improving safety through gas concentration monitoring.
- To support research in time series and stream data analysis for hazardous environments.
Main Methods:
- Data collection from 28 distinct sensors in an underground coal mine.
- Utilizing time series data comprising primarily numeric attributes.
- Preparing the dataset for various analytical applications.
Main Results:
- A comprehensive dataset capturing real-time conditions from multiple sensor locations.
- The data includes time-series information on gas concentrations and other environmental factors.
- The dataset is suitable for classification, regression, and time-series analysis.
Conclusions:
- The collected dataset is a valuable resource for developing and testing safety monitoring systems in coal mines.
- Analysis of this data can lead to improved predictive models for hazardous gas events.
- This data supports advancements in real-time analytics for underground mining safety.
