Abstract Gas leakage from buried gas pipelines in urban areas can lead to accidents involving fire and explosion when the gas gets concentrated into the adjacent underground spaces. Determining monitoring points for the gas leakage in the underground spaces can prevent the initiation of fire and explosion. In this regard, this study proposes an optimized distribution model which relies on risk prediction. It maps the fire and explosion risk in the underground spaces to the discrete target pipeline based on the effect predicted by the monitoring sensors. Moreover, the total risk in this system is calculated through the micro-element method to design an effective distribution optimization strategy. A case study is conducted to illustrate the effectiveness of the new approach and compare it with the risk-based distribution method and effective monitoring length method. The results show that determining the optimized distribution plan is difficult using the risk-based distribution method and effective monitoring length method because these methods may determine a large number of monitoring points or cannot determine the specific location of the monitoring point. The proposed optimization model enables to derive the relationship between the number of distribution points and the risk in the system. For the same number of monitoring points, the rate of risk control in the system of the proposed model is twice that of the conventional model. As the number of monitoring points decreases, the monitoring cost for the prevention of fire and explosion would be largely reduced.

中文翻译：

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地下空间燃气管道泄漏检测优化监测分布方法

摘要 城市地区埋地燃气管道的燃气泄漏，当燃气集中到邻近的地下空间时，会导致火灾和爆炸事故。确定地下空间气体泄漏监测点，可以防止火灾和爆炸的发生。在这方面，本研究提出了一种依赖于风险预测的优化分布模型。它根据监测传感器预测的效果将地下空间的火灾和爆炸风险映射到离散的目标管道。此外，该系统中的总风险通过微元方法计算，以设计有效的分布优化策略。进行了一个案例研究来说明新方法的有效性，并将其与基于风险的分布方法和有效监控长度方法进行比较。结果表明，基于风险的分布方法和有效监测长度法难以确定优化的分布方案，因为这些方法可能确定大量的监测点或无法确定监测点的具体位置。所提出的优化模型能够推导出分布点的数量与系统中的风险之间的关系。对于相同数量的监控点，所提模型系统的风险控制率是常规模型的两倍。随着监测点的减少，