Reliability evaluation and redundancy design optimization of coal mine ventilation system
煤矿通风系统可靠性评估与冗余设计优化方法

摘要

煤矿通风系统的可靠性直接关系到矿井安全生产与作业效率。针对现有通风系统在高负荷运行中存在的设备故障率高、冗余设计不足等问题，提出了一种基于可靠性评估与冗余设计优化的综合方法。首先，利用故障树分析与马尔科夫模型对通风系统的关键部件进行可靠性建模，量化系统在不同工况下的失效概率；其次，通过多目标优化方法对风机、风道及控制系统的冗余配置进行调整，在降低故障风险的同时平衡投资成本；最后，通过仿真验证优化方案的有效性，结果表明该方法能显著提升系统稳定性与安全性。

Abstract

The reliability of coal mine ventilation systems directly impacts production safety and operational efficiency. To address issues such as high equipment failure rates and insufficient redundancy design in existing systems during high-load operations, this study proposes an integrated approach combining reliability assessment with redundancy design optimization. First, reliability modeling is conducted for key components using fault tree analysis (FTA) and Markov models to quantify failure probabilities under various operating conditions. Second, multi-objective optimization methods are employed to adjust redundancy configurations for fans, air ducts, and control systems, balancing investment costs while reducing failure risks. Finally, simulation results validate the effectiveness of the optimized solution, demonstrating significant improvements in system stability and safety.