An Efficient Method for Optimizing Sensors’ Layout for Accurate Measurement of Underground Ventilation Networks

Due to the complex spatial hierarchy and large network scale of mine ventilation system, it is difficult obtain information all branches in real-time, accurately, comprehensively by arranging sensors. To overcome this difficulty, paper proposes an optimal layout method sensors based on DETMAX algorithm Tabu search algorithm. Given a known number sensors, proposed can efficiently select set arrange these according calculated airflow each branch while considering both air resistance error sensor error. This optimized minimize undetected entire system accurately with limited The has significant economic benefits provide technical support for developing intelligent systems. Finally, performance efficiency are verified comparing Monte Carlo Ant Colony data from Wangjialing coal China.