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通过监测气固两相流的流速和流量值,明晰输送流体的流动特性,确保气力输送过程顺利进行。电容层析成像技术作为气固多相流的检测技术之一,关键是图像重建环节。通过选取恰当的图像重建算法,反演被输送流体的截面分布特性。为了改善ECT系统的重建图像质量,提高检测技术的精确性,提出一种集合被测流体的空间约束、时间约束和流体的流动反演信息的广义动态图像重建算法。将数值试验与常规的图像重建算法分析比较发现,该算法的重建图像结构最清晰。实验呈现用该算法反演的气力输送粉煤灰过程。两者明显体现了该动态重建算法的优势。
By monitoring the flow rate and flow rate of gas-solid two-phase flow, the flow characteristics of the conveying fluid are clarified to ensure the smooth progress of the pneumatic conveying process. Capacitance tomography as a gas-solid multiphase flow detection technology, the key is the image reconstruction. By selecting the appropriate image reconstruction algorithm, the cross-section distribution of the transported fluid is inverted. In order to improve the reconstructed image quality of ECT system and improve the accuracy of the detection technique, a generalized dynamic image reconstruction algorithm is proposed, which integrates the space constraints of the measured fluid, the time constraints and the fluid inversion information. Comparing the numerical experiment with the conventional image reconstruction algorithm, it is found that the reconstructed image has the clearest structure. The experiment presents the pneumatically conveyed fly ash process inverted by this algorithm. Both clearly demonstrate the advantages of this dynamic reconstruction algorithm.