Vertical tanks are commonly used for oil storage. The accuracy of measurement of the tank’s capacity depends directly on the method used for processing the experimental data. When the Monte Carlo method is applied for evaluating the capacity of a vertical tank, the measurement result is determined by the factors of sensor point distribution, sensor point density, and sample point density. Therefore, in this study, we investigate the impact of these factors and their influence on the evaluated capacity of a vertical tank based on the Monte Carlo method. The research results show that the absolute and relative errors of the orderly distribution are similar to those of the rotary distribution, their absolute errors do not exceed ± 0.1 m³, and the relative errors can be converged to within 0.1%. When the sensor points are randomly distributed, the stable value of the absolute error differs from 0, and the relative error cannot be converged to within 0.1%, thus, the random distribution is not acceptable for measuring the capacity of vertical tanks. When the sensor point density is higher than or equal to 1.44 /m², the absolute error of the measurement result does not exceed ± 0.1 m³, and the relative error can be converged to within 0.1%, which is acceptable for measuring the capacity of vertical tanks. The higher the sample point density, the smaller the absolute error range and the faster the relative error convergence speed. When the sample point density is higher than or equal to 1745.23 /m³, the relative error can be converged to within 0.1%.

立式储油罐通常用于储油。罐容量测量的准确性直接取决于处理实验数据的方法。采用蒙特卡罗方法评估立式罐的容量时，测量结果由传感器点分布、传感器点密度和采样点密度等因素决定。因此，在本研究中，我们研究了这些因素的影响以及它们对基于蒙特卡罗方法的立式储罐容量评估的影响。研究结果表明，有序分布的绝对误差和相对误差与旋转分布相似，绝对误差不超过±0.1 m ³，相对误差可以收敛到0.1%以内。当传感器点随机分布时，绝对误差的稳定值不为0，相对误差不能收敛到0.1%以内，因此，随机分布不能用于测量立式罐的容量。当传感器点密度大于等于1.44个/m ²时，测量结果的绝对误差不超过±0.1 m ³，相对误差可收敛到0.1%以内，可用于容量测量立式坦克。样本点密度越高，绝对误差范围越小，相对误差收敛速度越快。当采样点密度大于等于1745.23个/m ³，相对误差可以收敛到0.1%以内。