Articles:2016,Vol:21,Issue(1):35-52
Citation:
XU Tao-tao. Design and Implementation of Intelligent Water Meter Reading System[J]. International Journal of Plant Engineering and Management, 2016, 21(1): 35-52

Design and Implementation of Intelligent Water Meter Reading System
XU Tao-tao1,2
1 68206 Forces, Linxia Gansu, 731100, P. R. China;
2 School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, P. R. China
Abstract:
With the rise of intelligent residential housing project and the implement of intelligent meter reading system, the four become the typical representative at the same time, they also become the short board of the old residential intelligent direction and constraints. As one of the four meter is an important measurement tool to save water resources. In the process of the development of society and technology, different types of meter reading methods have been derived, but there are still many problems, such as difficulty, time consuming, error copy, misreading. With the current mature image processing technology, the Internet technology and the rapid development of handheld intelligent terminal, the paper develop a meter reading system base on the Android system. The system can reduce the work intensity and the cost of meter reading, and it can make up the blank which old district and the mechanical meter reading can not be intelligent.
Key words:    image processing    character segmentation    android    character recognition   
Received: 2016-03-05     Revised:
DOI: 10.13434/j.cnki.1007-4546.2016.0104
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References:
[1] Yu M G. Discussion on type and selection of automatic meter reading system of water meter[J]. Smart City, 2014,12:30-32 (in Chinese)
[2] Shi Y F, Cai H G, Yin J H. Development and trend analysis of meter reading system[J]. Technical Wind, 2009,16:204 (in Chinese)
[3] Zhang Q Y. Research on character recognition algorithm of water meter based on ANDROID platform[D]. Hangzhou: Hangzhou Dianzi University, 2014 (in Chinese)
[4] Zhang Z, Wang Y P, Xue G X. Digital image processing and machine vision[M]. Beijing: People's Posts and Telecommunications Publishing House, 2010,4 (in Chinese)
[5] Rafael C. Gonzalez, Richard E. Woods. Digital. Digital Image Processing Second Edition[M]. Ruan Qiuqi, Ruan Yuzhi, 2 edition. Beijing: Electronic Industry Publishing House, 2003
[6] Otsu N. Athreshold selection method from gray-level histogram[J]. IEEE Transactionson System Manand Cybemetic, 1979,9(1):62-66
[7] Feng H Y, Pavlidis T. Decomposition of polygons into simpler components: feature extraction for syntactic pattern recognition[J]. IEEE Transaction on Computers,1975,24:636-650
[8] Wu Y F, Su Y G. Android application case development[M]. Beijing: People's Posts and Telecommunications Press, 2011 (in Chinese)