Research Topic 1: Visual Measurement Technology and Intelligent System

Visualized measurement technology and Intelligent System are aimed to solve the information acquisition problem of medium distribution inside of the testing domain. On the basis of theoretical physical sensitivity principle of electricity, magnetism, acoustics and optics, obtain the boundary measurement data non-intrusively and non-invasively, and utilize the mathematical model and reconstruction technique, to generate 2D and 3D images of inner medium distribution of the testing domain, to further characterize the whole sensing area.

The physical basis of this research topic is: multi-phase medium has different physical (electrical, acoustic, mechanical) characteristics in the testing domain. Through the injection of different type of energy, the testing sensitivity field is built. With different inner distribution, the boundary measurement signal varies according to the physical modulation principle between inclusion and sensitivity field. The inner distribution image and related characteristic parameters can be reconstructed and extracted through the acquisition of boundary measurement signal and the mathematical signal processing model.

The research topic aims at the industrial multi-phase medium and the biological tissue distribution, to conduct the sensing principle of different physical modalities inside the testing domain, develop related measurement technique, design the online measurement system/reconstruction algorithms, propose the feature information extraction method, and finally apply related technique on industrial multiphase medium and biological tissue measurement.

Research Topic 2: Complex Process Measuring, Modeling and Analyzing

The research topic on Complex Process Measuring, Modeling and Analyzing aims at the information acquisition of the process object which is formed by multi-phase medium, and state diagnosis problem of the process which change over time. On the basis of electricity, magnetism, acoustic and optics sensing principle, the related mathematical state observing model is built with the help of mathematical modeling method and information processing technique, to characterize and predict the process formation, development and evolution.

The research topic focus on the widely existed multiphase flow in energy, petroleum, chemistry, medicine, environment and aerospace industry. To ensure high efficiency and safety of the production process, the state acquisition of multiphase-flow and the critical parameter extraction method are in great need, only through which the accurate observation and prediction model can be established, and the production process can then be effectively monitored.

In conclusion, the measuring, modeling and analyzing of complex process represented by industrial multiphase flow is of vital significance in the scientific research and industrial production.