Methane

Coal mining requires working in hazardous conditions. Miners in an underground coal mine can face several threats, such as, e.g. methane explosions or rock-burst. To provide protection for people working underground, systems for active monitoring of a production processes are typically used. One of their fundamental applications is screening dangerous gas concentrations (methane in particular) in order to prevent spontaneous explosions. Therefore, for that purpose the ability to predict dangerous concentrations of gases in the nearest future can be even more important than monitoring the current sensor readings. The data set contains raw data collected at an underground coal mine. It consists of a time stamp and measurements collected each second. The considered task related to this data set is to construct a model capable of predicting dangerous concentrations of methane at longwalls of a coal mine in a chosen time horizon. Therefore, in case of classification task the model has to predict weather the methane concentration for three methane meters: MM263, MM264 and MM256 exceeds the chosen threshold (e.g. 1.0) within the chosen period of time (e.g. three to six minutes). In case of regression task it is required to predict the value of methane concentration for the selected methane meters.

煤炭开采作业需在高危环境中进行，井下矿工常面临多重安全威胁，例如瓦斯（methane）爆炸与冲击地压（rock-burst）。为保障井下作业人员安全，行业通常部署生产过程主动监测系统，该类系统的核心功能之一便是筛查有害气体浓度（尤以瓦斯为重），以此防范自发爆炸事故。因此，若要实现该防控目标，在近期内预测有害气体危险浓度的能力，往往比实时监测当前传感器读数更为关键。
本数据集收录自某井下煤矿的原始监测数据，包含时间戳与每秒采集的监测值。本数据集对应的核心研究任务为构建预测模型，以在指定时间范围内，预测煤矿长壁工作面的瓦斯危险浓度。若开展分类任务，则模型需预测：在指定时长（如3至6分钟）内，三台瓦斯监测仪（MM263、MM264与MM256）的瓦斯浓度是否超出设定阈值（例如1.0）；若开展回归任务，则需预测指定瓦斯监测仪的瓦斯浓度数值。

搜集汇总

背景与挑战

背景概述

该数据集是一个来自地下煤矿的甲烷浓度时间序列数据，发布于2021年，包含每秒采集的原始测量值，旨在支持预测模型开发，以预防煤矿爆炸。数据集可用于分类任务（预测甲烷浓度是否超过安全阈值）和回归任务（预测具体浓度值），文件总大小约56.3 MB，遵循CC BY 4.0许可协议。