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Research on the System of Pipeline Leak Location Based on BP Network

Author: GuanJian
Tutor: ChenGuangHua
School: Beijing Jiaotong University
Course: Detection Technology and Automation
Keywords: Pipeline transportation Leak Location Wavelet Packet BP neural network MATLAB
CLC: TP274
Type: Master's thesis
Year: 2009
Downloads: 199
Quote: 2
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Abstract


With the rapid development of the pipeline transportation industry , environmental pollution and economic losses caused by the pipeline leak worse. In recent years , a large number of pipeline aging , corrosion , as well as many of the Stolen events , leading to frequent spill . Due to poor positioning accuracy , low efficiency , the traditional means of leak location has been unable to meet the needs of industrial development , therefore the design of an efficient automated pipeline leak location system becomes imminent . Pipeline leak detection in many fields , interdisciplinary topics related to of pipeline sensing technology , signal detection , signal processing and other disciplines . In this paper, the neural network emerging technologies , exploratory research pipeline leak location . Water pipelines for the test object , the design of a pipeline leak BP neural network - based positioning system , the system can achieve real - time data acquisition pipeline pressure , work status monitoring and leak point positioning function . This paper summarizes the status of the domestic and international oil pipeline leak detection , a detailed exposition of the principles of a pipeline leak location , Difficulties and solutions; wavelet packet algorithm and neural network technology , pressure Signal Denoising by wavelet packet transform and feature Extraction as a neural network input ; application of BP neural network recognition pipeline work mode , locate the leak ; designed microcontroller as the core of the data acquisition card , write MATLAB data analysis procedures of the host computer , VB man-machine interface ; in experiments test room to build the test pipe to complete the analysis of experimental results . The results show that the pipeline leak location system based on BP neural network can accurately locate the leak .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system
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