Electrical capacitance tomography technique reconstructs dielectric constant distribution in anobject by measuring the capacitances between the eletrode pairs which are mounted around this object. Because of the limitation of measurement condition, the measured data are imcomplet. This paper describes amultiresolution reconstructive algorithm which is based on network theory for electrical capacitance tomography technique. The dielectric constant distribution of flow of two components in a pipeline is reconstructed.The algorithm is as rollows: Firstly, construct a rough, first level system model, and assume the dielectricconstant distdbution of the region to be reconstructed. After iteration, the dielectic constant of each unit canbe reconstructed. Secondly, construct a finer, second level the system model and determine the initial dielectric constant of each unit in the region to be reconstructed according to related information between two levels. After iteration, the image of the pipeline’s cross section can be reconstructed.The results of simulated experiments about different kinds or medium distributions show that this algorithm is effective and can converge.
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