Identification and statistical analysis of impulse-like patterns of carbon monoxide variation in deep underground mine

Abstract

The quality of air in deep mines is a very important aspect because of the health of the miners working there. Poor quality of the air might also affect the efficiency of their work. There are many possible sources of air pollution in a deep mine. One of the most critical issues is related to the usage of explosive materials for rocks fragmentation. Results of such explosions are carbon monoxide, extremely dangerous an odourless and colourless gas. In our research, we have received long term data from the online monitoring system installed in some part of the mine. The research task is to describe the behaviour of the concentration of CO gas in the air in the language of mathematics. So, finally, the analysis of carbon monoxide concentration variation associated with the blasting events has been proposed. It consists of the separation of the sub-process of the CO concentration related to the blasting procedure (process P) from the remaining part of the gas concentration and its modelling using the deterministic function.