Electrical capacitance tomography (ECT) is a visualization measurement method for two-phase flow. Imaging permittivity distributions using electrical capacitance tomography has always been one of the most significant issues studied by scholars, and the algorithm will have a great impact on the accuracy of image reconstruction result. This paper applies simulated annealing (SA) algorithm to image reconstruction in ECT. However, some parameters of SA algorithm need to be optimized in order to obtain better reconstructed images in ECT. The influence of different parameter values in SA algorithm for image reconstruction in ECT is studied, and a set of optimal parameters of the SA algorithm is obtained based on the orthogonal experimental design method in this paper. At the same time, simulation and static experiments are conducted. Reconstructed images by SA algorithm with optimized parameter are compared with the linear back projection (LBP) and Landweber iterative algorithms. The results show that better images can be obtained for typical oil-gas two-phase flow using SA algorithm. The quality and shape fidelity of reconstructed image for the central object are obviously improved.

电容断层扫描 (ECT) 是一种用于两相流的可视化测量方法。电容层析成像的介电常数分布一直是学者们研究的最重要的问题之一，该算法将对图像重建结果的准确性产生很大影响。本文将模拟退火（SA）算法应用于ECT中的图像重建。然而，为了在 ECT 中获得更好的重建图像，需要优化 SA 算法的一些参数。研究了SA算法中不同参数值对ECT图像重建的影响，并基于正交实验设计方法得到了SA算法的一组最优参数。同时进行了仿真和静态实验。将优化参数的SA算法重建的图像与线性反投影(LBP)和Landweber迭代算法进行比较。结果表明，使用SA算法可以获得较好的典型油气两相流图像。中心物体重建图像的质量和形状保真度明显提高。