Research on the minimum airflow balance correction for mine sensor
In the era of intelligent mining,the ability to perform high-performance,real-time computation of ventilation networks is crucial for the effective safety management of mining ventilation systems.A key factor influencing the performance of the computation is the initial iteration of airflow values.However,the accurate allocation of the initial airflow values across the entire ventilation network is discouraged by measurement errors in sensors and their sparse deployment.To address these issues,this paper proposes an approach.It starts with transforming the mine ventilation network into a passive sink network flow model to improve the traditional network flow allocation model with upper and lower bounds.The enhanced model eliminates the need to determine whether the airflow in each branch has reached saturation during the feasible airflow allocation process.Instead,it directly outputs the airflow for each branch using the maximum flow algorithm after augmentation.Specifically,the airflow bounds for branches with deployed sensors are set to the monitored airflow values,while branches without sensors do not have airflow limits.To deal with imbalances in airflow allocation,virtual nodes,and branches are introduced,and the maximum flow algorithm is employed to augment the airflow across the network.Despite the improvements,the improved airflow allocation model faces the issue of rectifying node airflow imbalance resulting from sensor monitoring errors.To solve the problem,the airflow adjustment model is developed based on a conditional adjustment model.This model establishes independent adjustment equations,which enables minimal balancing of node airflow and effectively eliminates measurement errors.In experimental simulations and field tests,the improved upper and lower bounds network flow model and airflow adjustment model effectively eliminate monitoring errors.The adjusted airflow aligns with the balance requirements for node airflow.Notably,in field tests involving all sensor branches,the average airflow adjustment rate is 0.66％,with an average airflow adjustment of 0.09 m3/s.The correction rate for monitored airflow satisfies the engineering requirement of 5％.
safety engineering,ventilation network calculationiterative methodnetwork flow with upper and lower boundsmeasurement adjustment
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