The real-time monitoring technology of air quantity based on the optimization of air velocity sensors location in mine ventilation network

As the monitoring data of air velocity sensor is inaccurate in the mine underground roadway, the index system and the mathematic model of optimal air velocity sensor location is established based on the variable fuzzy theory. The objective functions are the minimum amount of air velocity sensor locations, which can obtain air quantity of each roadway. And the constraints obey the air quantity balance equation of each circuit and node. In order to improving the accuracy of the monitoring data and reduce the disturbance to the measurement and calculating results, the adjustment analysis of redundant air velocity sensor measurement and the standard deviation filter method are put forward. Then, the real-time monitoring technology of mine roadway in mine ventilation network is formed and the air quantity automatic monitoring system of mine ventilation network is established. The application shows that, this technology can achieve the real-time monitoring in the underground roadway. In addition, it effectively improves the air quantity accuracy of monitoring data and provides an important basis data for management decisions of mine ventilation system.

Air quantity, air velocity sensor, monitoring, ventilation network

Junhong Si, Shao He, Genyin Cheng, Tingxiang Chu, The real-time monitoring technology of air quantity based on the optimization of air velocity sensors location in mine ventilation network. 2019 Scientific Conference on Network, Power Systems and Computing (NPSC 2019), 2019: 164-169. DOI: https://doi.org/10.33969/EECS.V3.038.