Mathematical evaluation of the efficiency of ozonator control via sensor network in the process of underground water purification in mines

Abstract The peculiarities of the formation of the mineral composition of mine waters are considered. The main processes for cleaning mine water and the factors that influence the choice of cleaning methods and schemes are listed. This article provides a mathematical evaluation of the efficiency of ozonator control via a sensor network during the process of underground water purification in mines over a 10-minute period. The aim of the study is to monitor the ozone concentration precisely, enhance water purification efficiency, and conserve energy. The ozone concentration decreased from 1 to 0.2 within the first 5 minutes, while the purification quality reached 0.8 during this time. Energy efficiency increased to 0.35 within the first 2 minutes, but gradually decreased, reaching approximately 0.2 by the 10th minute. Throughout the study, real-time monitoring of the ozone levels via the sensor network allowed for process optimization. The results demonstrated the effectiveness of sensor-based control in preventing excessive ozone consumption and improving water quality. In conclusion, ozonator control through a sensor network was proven to be an environmentally friendly and energy-efficient method.