基于相对熵的控氡通风网络可靠性分析

保障矿山通风网络可靠是实现矿山采场作业点需风量要求的首要策略之一。首先分析铀矿山通风网络在不同通风参数下巷道内氡浓度分布，估算通风巷道所需总通风量。然后利用路径熵理论，将风流传输路径、网络流量、氡浓度变化结合，推导出表征铀矿通风风力性能的风路熵定义。最后结合最大熵理论，提出考虑网络拓扑的介数中心性对风路熵进行加权的网络可靠性模型，并对模型进行求解分析。结果表明：距离入风口路径长度的增加，使各路径运移氡的概率不均，网络末端节点可靠性降低，增加入风口及回风的巷道有利于提高网络可靠性。

Reliability analysis of radon control ventilation network based on relative entropy

Ensuring a reliable mine ventilation network is one of the primary strategies to achieve the required air volume at the operating point of a mine quarry. Taking a uranium mine ventilation network as the research object, this paper firstly analyzes the radon concentration distribution in the tunnel under different ventilation parameters and estimates the total ventilation volume required for the ventilation tunnel. Then, using the path entropy theory, air flow transmission path, network flow rate, and radon concentration variation are combined to derive the definition of wind path entropy characterizing the wind performance of uranium mine ventilation. Finally, combined with the maximum entropy theory, a network reliability model that considers the mesoscopic centrality of the network topology to weigh the wind path entropy is proposed, and the model is worked out and analyzed. The experimental results show that the increase of the path length from the human wind entrance makes the probability of transporting radon in each path uneven, the reliability of the end nodes of the network decreases, and the increase of the inlet and return air paths is beneficial to improve the network reliability.