Methane
Description
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.