【摘要】 以独立封闭式车库为模型，针对目前实际场景中大流量泄漏工况下泄漏点定位方法空缺的问题，提出了一种基于CFD的改良加权质心算法。该算法在WSN领域中加权质心算法的基础上，使用CFD仿真得到的结果，拟合出氢气在空气中的体积分数与监测点到泄漏点距离的函数关系式，并利用此函数进行泄漏点的质量流量估计以及较为准确的定位。Fluent仿真结果表明，质量流量估计的平均误差为19.0%，泄漏点定位的平均相对误差为9.8%。该方法可为氢气泄漏爆炸事故的预防、事故发生后的分析提供一定帮助。更多还原

【Abstract】 A CFD based improved weighted centroid algorithm is proposed to address the problem of the lack of leakage point localization methods in current practical scenarios under high flow leakage conditions, using an independent enclosed garage as a model. Based on the weighted centroid algorithm in the WSN field, this algorithm uses CFD simulation results to fit the functional relationship between the volume fraction of hydrogen in air and the distance from the monitoring point to the leakage point. This function is then used to estimate the mass flow rate of the leakage point and achieve more accurate localization. The Fluent simulation results show that the average error of mass flow estimation is 19.0%, and the average relative error of leak point localization is 9.8%. This method can provide certain assistance for the prevention of hydrogen leakage explosion accidents and the analysis after accidents occur.更多还原