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An Approach for Understanding and Promoting Coal Mine Safety by Exploring Coal Mine Risk Network

机译：探索煤矿风险网络的认识和促进煤矿安全的途径

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Capturing the interrelations among risks is essential to thoroughly understand and promote coal mining safety. From this standpoint, 105 risks and 135 interrelations among risks had been identified from 126 typical accidents, which were also the foundation of constructing coal mine risk network (CMRN). Based on the complex network theory and Pajek, six parameters (i.e., network diameter, network density, average path length, degree, betweenness, and clustering coefficient) were employed to reveal the topological properties of CMRN. As indicated by the results, CMRN possesses scale-free network property because its cumulative degree distribution obeys power-law distribution. This means that CMRN is robust to random hazard and vulnerable to deliberate attack. CMRN is also a small-world network due to its relatively small average path length as well as high clustering coefficient, implying that accident propagation in CMRN is faster than regular network. Furthermore, the effect of risk control is explored. According to the result, it shows that roof collapse, fire, and gas concentration exceeding limit refer to three most valuable targets for risk control among all the risks. This study will help offer recommendations and proposals for making beforehand strategies that can restrain original risks and reduce accidents.
机译：把握风险之间的相互关系对于彻底理解和促进煤矿安全至关重要。从这个角度出发，从126起典型事故中识别出105个风险和135个风险之间的相互关系，这也是构建煤矿风险网络的基础。基于复杂网络理论和Pajek，采用六个参数（即网络直径，网络密度，平均路径长度，程度，中间性和聚类系数）来揭示CMRN的拓扑特性。结果表明，CMRN具有无标度网络特性，因为它的累积度分布服从幂律分布。这意味着CMRN对随机危险性很强，并且容易受到故意攻击。由于CMRN的平均路径长度相对较小，并且聚类系数较高，因此它也是一个小世界网络，这意味着CMRN中的事故传播比常规网络要快。此外，探索了风险控制的效果。从结果可以看出，在所有风险中，屋顶塌陷，火灾和瓦斯浓度超标是控制风险的三个最有价值的目标。这项研究将有助于提供建议和建议，以制定可以抑制原始风险并减少事故的事前策略。

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