The Application of Image Processing Technology to Flow Discrimination from Float Flowmeters

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Abstract:

A new method to get flow rate from a float flow meter automatically by image processing technique is put forward. Images of float flowmeters which are captured by a camera link are cropped, strengthened, filtered and binaried by certain pre-processings. Firstly, one-dimensional array is generated by the binary-picture. An accumulation by its columns and averaged the peak formed by the accumulation is made. Finally, the accurate position of the float can be recognized. Some simulation experiments show that the resolution of measurement by the image technique can be 1/10 of the minimum scale of glass float flowmeters. Some errors which include the angle of elevation and depression caused by cameras are discussed.

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130-133

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September 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] ALEGRIA F C, SERRA A C. Automatic calibration of analog and difital measuring instruments using computer vision. IEEE Trans on Instrumentation and Measurement, 2000, 49 (1): 94-99.

DOI: 10.1109/19.836317

Google Scholar

[2] HouPeiShan, WangZicheng, GaoWensheng, Chen Chuansheng, Yang Xiaomin. Patent of Transmission uesed on Glass Float flowmeter [P]. Chian. CN88216823. 1. CN2047009.

Google Scholar

[3] Yoichi Takagi, Akio Tsujikawa, Masao Takato et al. Development of a noncontact liquid level measuring system using image processing. Water Science and Technology, 1998, 37(12): 381-387.

DOI: 10.2166/wst.1998.0564

Google Scholar

[4] SunZhaolin. MATLAB 6. X Image Processing(Version 2002)[M]. Beking:Tsing Hua University Press,(2002).

Google Scholar

[5] Xiao-xuan Cao, Yu-ming Shen, Recognition of flow readings for float flowmeters based on digital image technique, 15th Flow Measurement Conference (FLOMEKO) October 13-15, 2010 Taipei, Taiwan.

Google Scholar