Fluid flow reconstruction imaging system and method thereof

Abstract

The invention discloses a fluid flow reconstruction imaging system and a method thereof. The system comprises a sensor, a signal transmission device and a processing imaging system. A small number ofsensors are arranged in a flow field area needing to be detected. Measured process parameter signals are transmitted to a signal transmission device through a data line. An acquisition card and a signal conversion device acquire and convert sensor signals. Data is transmitted to a processing imaging system through a data line to be reconstructed and imaged, and then flow characteristics are reflected. The invention has the advantages that the size is small, the real-time performance is high, the number of sensors needed by detection can be greatly reduced, the arrangement positions of the sensors are flexible, the detection range is wide, the sensitivity is high, the reconstructed fluid distribution result is reliable, the requirement for process tomography in actual production is met, andthe invention is suitable for flow detection of different types of fluid.

Description

technical field [0001] The invention relates to the field of fluid detection, in particular to the continuous detection of fluid diffusion and flow by a dimensionality reduction imaging method of fusion sensors, computational fluid dynamics and matrix decomposition. Background technique [0002] The diffusion and flow of fluid contain complex physical mechanisms, and the description of fluid diffusion and flow is also relatively complicated. The detection of fluid and multiphase flow is currently a complex field. Related methods such as industrial process tomography, sensors surrounding the measured space to sense the distribution of the measured fluid cause the absorption / attenuation of the detection medium (such as X-ray , laser, sound wave absorption), changes in flight time, changes in electromagnetic fields, and energy radiation (such as infrared rays) from the substance itself. Very common industrial process tomography methods are electrical capacitance / electrical res...

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Problems solved by technology

[0003] However, the above methods have some inherent shortcomings, such as small detection range, large interference, high sensor layout conditions, and with the further development of computational fluid dynamics, the available tools are greatly expanded. It is hoped that combined with computational fluid dynamics, we can get A new method that can overcome the shortcomings of some original methods for detecting fluid distribution

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