Data on methane concentration collected by underground coal mine sensors

Abstract

Coal mining requires working in hazardous conditions. Miners in an underground coal mine can face several threats, such as, e.g. methane explosions. To provide protection for people working underground, systems for active monitoring of production processes are typically used. One of their fundamental applications is screening dangerous gas concentrations (methane in particular) to prevent spontaneous explosions. Such a system is the source of the data set containing raw data collected at an underground coal mine. The data is collected from 28 different sensors placed at various locations around the coal mine. All the attributes except one are numeric, and the examples collected form a time series. This data set can be used in a variety of analytical tasks, including classification, regression, time series and stream data analysis.

Research on coal mine longwall face gas state analysis and safety warning strategy based on multi-sensor forecasting models

“…The experimental data for this study comprises two main sources: a publicly available dataset from coal mine in Poland 26 , 34 and the data we collected from a coal mine in China;the dataset from the coal mine in Poland was obtained from the Upper Silesian Coal Basin, consisting of time-sensitive readings from March 2, 2014, to June 16, 2014, with a total of 9,199,930 data instances, each detailed with timestamps and measurements. Meanwhile, the dataset from the coal mine in China was acquired using gas sensors in the W3211 working face at Qianyingzi Mine, Suzhou City, Anhui Province, during the period from May 1, 2021, to July 20, 2021, accumulating a total of 3,407,328 data points.…”

“…A coal mine longwall face presents a semi-enclosed environment 24 , characterised by high temperatures and pressures, exhaust gases, humidity and darkness, among other complexities. High-precision sensors, such as methane and carbon monoxide, operating in this environment are extremely prone to malfunction, damages by flying stones, as well as malicious manmade masking—resulting in nulls, abnormal values 25 , 26 . This raises the challenge of how to handle and recognise these anomalies, which is important for the creation and evaluation of the overall safety warning strategy.…”

Recent Advancements in IoT Implementation for Environmental, Safety, and Production Monitoring in Underground Mines

“…There are only a few open-access datasets relevant to underground MIoT systems. Kozielski et al [122] presented a dataset obtained by 28 sensors installed in different locations in an underground coal mine in Poland. This dataset contained environmental data of the mine and status data of an operating longwall shear.…”

Improvement of a mine’s ventilation test bench, using industrial communication and open-source microcontrollers.

“…In underground coal mining, workers are exposed to various risks due to explosive and toxic atmospheres; therefore, to protect miners, active monitoring systems are often used in production processes [6]. As technology for monitoring the mining atmosphere advances, the location of miners and tracing other parameters is vital for worker safety; a software-based security system would be more efficient since the response time in an emergency is optimized [7].…”