矿井传感器风量最小平衡修正量研究  

Research on the minimum airflow balance correction for mine sensor

作　　者：曹鹏[1,2] 刘剑[1,2] CAO Peng;LIU Jian(College of Safety Science&Engineering,Liaoning Technical University,Huludao 125105,Liaoning,China;Key Laboratory of Mine Thermo-motive Disaster&Prevention,Ministry of Education,Huludao 125105,Liaoning,China)

机构地区：[1]辽宁工程技术大学安全科学与工程学院,辽宁葫芦岛125105 [2]矿山热动力灾害与防治教育部重点实验室,辽宁葫芦岛125105

出　　处：《安全与环境学报》2024年第7期2658-2671,共14页Journal of Safety and Environment

基　　金：国家自然科学基金项目(51574142,51774169)。

摘　　要：在智能化开采时代,高性能的实时通风网络解算对于矿山通风系统的安全管理至关重要,而初始迭代风量对解算性能具有显著影响。由于传感器难以避免地存在测量误差且布置稀疏,利用传感器监测数据难以分配全风网初始风量。首先,将矿井通风网络视为网络流模型,并对传统的有上下界网络流模型进行改进,以使之能够基于存在测量误差的传感器风量进行全风网风量分配。其次,用风量平差模型对传感器误差导致的节点风量不平衡进行最小平衡量修正。试验模拟和现场试验均表明了研究方法的可行性和有效性。在现场试验中,传感器分支的风量平均修正率为0.66%,平均风量修正值为0.09 m^(3)/s。该方法能够对任意位置布置且存在测量误差的传感器的风量进行全风网的风量初始化分配。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 adjustme

关 键 词：安全工程 通风网络解算 迭代法 有上下界网络流 测量平差 

分 类 号：X936[环境科学与工程—安全科学]