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本文探究了由于地基变形等原因,储油罐罐体的纵向倾斜和横向偏转对罐容的标定产生的影响。通过分析两头扁平的椭圆柱体与两头为球冠的圆柱体这两种常见油罐形状,利用微元法建立积分模型,利用分部积分得到了标定体积与偏转的关系式,并通过具体实例对模型可行性进行验证。对于储油罐的变位识别,利用差异性检验来检测,提出基于遗传算法的反演规划模型,利用最小二乘原理,反演求解出油罐的横向与纵向偏转角度,从而对罐容表进行重新标定。最后考虑到实际中油罐并不是规则的几何体和汽油在油罐中的储存情况对标定造成的影响,利用BP神经网络算法对罐容表进行了修正。
This paper explores the impact of tank tilt due to the deformation of the foundation and other factors. By analyzing the shapes of two common oil tanks with two flat oval cylinders and two cylinders with spherical cap, the integral model is established by using the method of differential equations. The relation between the calibration volume and the deflection is obtained by using the integral of partial points. Verify the feasibility of the model. For the displacement identification of oil storage tanks, differential inspection is used to detect and propose an inversion programming model based on genetic algorithm. By using the least square principle, the horizontal and vertical deflection angles of oil tanks are solved by inversion, Recalibrate. Finally, taking into account the fact that the actual tank is not a regular geometry and gasoline storage in the tank on the calibration of the impact, the BP neural network algorithm was used to correct the tank capacity table.