Capacitance data mining process is: first of all data acquisition and storage, through the simulation software to get the capacitance value of the filter into a data set when the micro element at high dielectric constant and then the data set for processing and analysis, such as the use of linear and non-linear statistical analysis of data and according to certain rules of the data set classification, and analyzing the relationships between data and data categories then the classification of data after data mining, explore and find internal connection between data finally, the results will be imaging, and easy to analyze and use. The regular representation indicates that the rules are expressed as much as possible in a user-understandable manner (such as visualization). The regular search is to find out the rules contained in the data set in some way. Data preparation is to select the required data from the relevant data source and integrate it into a data set for data mining. Data mining is a technique that looks for regularities and rules from a large number of data by analyzing each data, there are three main steps―data preparation, regular search and regular representation. In the era of big data, big data can be summarized as four characteristics, data volume, velocity, variety, veracity. Because ECT can change the position and number of sensor, produce different imaging results, and it does not affect the motion of the fluid, fast, cheap, so it is considered to be the future development prospects of imaging technology. It uses differential medium has different dielectric constant, and by measuring the capacitance values between the electrodes placed on the surface of the tube and the spatial distribution of the dielectric constant in the tube is calculated, combined with the sensitive field, the distribution of the working medium in the pipeline is further deduced. So electrical capacitance tomography (ECT) developed gradually since the 1980s.ĮCT is an imaging technique, which can measure dielectric constant changes and material distribution in pipes or tubes. And according to flow pattern change criterion or flow chart to determine the flow mode with the flow parameters is also difficult. In these systems, due to the complex flow mechanism of two-phase flow, randomly large, the use of traditional detection technology is difficult to be used for observation or measurement methods. At present, there are a large number of two-phase flow systems in many fields, such as electricity, petroleum, chemical industry, metallurgy and other national economic production.
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