DocumentCode :
550139
Title :
Intelligent ERT system based on PXI modular instruments
Author :
Cao Yang ; Dong Feng ; Zhang Fusheng
Author_Institution :
Tianjin Key Lab. of Process Meas. & Control, Tianjin Univ., Tianjin, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
4448
Lastpage :
4452
Abstract :
Multi-phase flows are commonly encountered in the industry processes. It is very significant to monitor and test multi-phase flow. Electrical Resistance Tomography (ERT) technique has great prospective in industrial measurement and monitoring with merits of non-intrusive, non-radiant, visualization and etc. However, the application of this technique is restricted by its real-time performance. In this paper, the scheme of the intelligent ERT system based on PXI modular instruments has been proposed. The system can realize the image construction and flow information extracted with the method of multi-working mode. The result shows that, when the intelligent ERT system is working in dual-plane, the speed of each plane is 625 frames/s with 16 electrodes working mode, 1562 frames/s with 8 electrodes working mode, and 3125 frames/s with 4 electrodes working mode. The real-time performance of the system satisfies the test requirements. Through the test of multi-flow dynamic simulated experiment, the characteristic value which is extracted from the measured data of each cross section can acquire the flow features distinctly of different flow patterns.
Keywords :
mechanical engineering computing; multiphase flow; tomography; virtual instrumentation; LabVIEW; PXI modular instruments; electrical resistance tomography technique; electrodes working mode; image construction; industrial measurement; intelligent ERT system; multiphase flow; Artificial intelligence; Electrical resistance measurement; Electrodes; Field programmable gate arrays; Instruments; Resistance; Tomography; Characteristic Value; Electrical Resistance Tomography; Multi-phase Flow; Multi-working Mode; Real-time Parameter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6000476
Link To Document :
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