Decision on Leakage of Heat-supply Pipe Network Based on Multi-sensor Information
Merge
Abstract:
The complicated structure of heat-supply pipe network leads to the issue that the leakage position is difficult to locate by a single sensor. We propose to exploit the merge information by multi-sensor to determine the leakage pipeline section. The mathematical model is first established according to the topology of the pipe network. Furthermore, We present the concept of leakage time difference vector group and assign the elementary probability according to the cosine of the intersection angle between the given time difference vector group and the real measured time difference vector group. Experimental results show that the proposed scheme realizes the diagnosis of the leakage pipeline section in the complicated heat-supply pipe network.
How to cite this article
Pan-pan Zhao, Xiu-fang Wang, Hong-bo Bi and Qi Yang, 2013. Decision on Leakage of Heat-supply Pipe Network Based on Multi-sensor Information
Merge. Information Technology Journal, 12: 5472-5476.
REFERENCES
Abhulimen, K.E. and A.A. Susu, 2004. Liquid pipeline leak detection system: Model development and numerical simulation. Chem. Eng. J., 97: 47-67.
CrossRef Direct Link
Bimpas, M., A. Amditis and N. Uzunoglu, 2010. Detection of water leaks in supply pipes using continuous wave sensor operating at 2.45 GHz. J. Applied Geophys., 70: 226-236.
CrossRef
Iyeswariya, A.R., R.M. Shamila, M. JayaLakshmi, K. Maharajan and V. Sivakumar, 2012. A study on water leakage detection in buried plastic pipes using wireless sensor networks. Int. J. Scientific Eng. Res., 3: 1-5.
Direct Link
Lei, C.H. and P.H. Zou, 2010. Application of neural network in heating network leakage fault diagnosis. J. Southeast Univ., 26: 173-176.
Direct Link
Liu, Z.G., Y.M. Cheng, Q. Pan and Z. Miao, 2009. Combination of weighted belief functions based on evidence distance and conflicting belief. Control Theory Appl., 12: 1439-1442.
Paksoy, A. and M. Gokturk, 2011. Information fusion with dempster-shafer evidence theory for software defect prediction. Procedia Comput. Sci., 3: 600-605.
CrossRef Direct Link
Wei, R.W., X.F. Wu and Q.Y. Du, 2006. Consistency checking of pipeline network based on graph model and topological constraint. J. Geospatial Inform., 4: 52-54.
Yang, L.J., L. Zhang and S.W. Gao, 2011. Acoustic signal characteristic for water supply pipeline leakage. J. Shenyang Univ. Technol., 33: 183-187.
Zheng, D.Z., L. He, X. Zhou and Q.W. Zhang, 2003. The research of the heating gridiron fault diagnosis system based on the fuzzy theory. J. Chinese J. Sens. Actuat., 3: 367-373.
© Science Alert. All Rights Reserved