基于二维寻优的核电站松动件定位分析

Loose Parts Location Analysis Based on Two Dimensional Optimization

为快速、准确地估算出核电站一回路松脱零部件的碰撞位置,提出了一种基于二维寻优的松动件定位方法。根据各个传感器与松动件碰撞位置关系,建立松动件定位分析模型,将松动件定位问题转化为一个二维寻优问题;采用遗传算法进行寻优,实现松动件的位置估计。该方法避免了波速测量误差对定位精度的影响,提高了估算精度。分别用提出方法与三角形定位法和扫描定位法处理松动件碰撞模拟实验数据,对比分析定位误差和计算耗时表明,所提出的方法具有更高的定位精度和计算效率。

In the purpose of estimating the impact location of loose parts quickly and accurately in nuclear power plant prime circuit, a locating method based on two-dimensional optimization is proposed. Loose part location analysis model, which converts the locating problem into an optimization one, is established according to the position relationship between the sensors and the impact point. Then the location can be estimated by solving the optimization problem using Genetic Algorithm. The locating accuracy is improved as the error of wave velocity measurement is avoided in the proposed method. To verify the validity, the proposed method, the triangle method and the scanning method are used to process the simulation experiment data respectively. Comparison of locating error and time costing prove that the proposed method can achieve higher accuracy and efficiency.