Adaptive Extended Kalman Filter In The Long-distance Pipeline Leak Point Positioning Applications | Posted on:2006-09-17 | Degree:Master | Type:Thesis | Country:China | Candidate:Y Kang | Full Text:PDF | GTID:2208360155458408 | Subject:Signal and Information Processing | Abstract/Summary: | PDF Full Text Request | Recently the transportation pipeline of Gas&Oil is growing in the world because of more advantaged than other transportation means in high safety, high efficiency, low cost and low wastage. The leakage accidents in pipelines by rust or man-made breakage not only cause great loss of material, but also pollute the environment; what' s more, it may lead to serious casualty. So it is very important how us to locate the leakage position and estimate the leakage flow accurately and quickly.In the article we use the transient model method to real-time supervise the pipeline leakage. The main objective of the transient model method is to get the running parameter of the pipeline through estimating the subsection point running status. In this way we use the eigen-line method to translate the differential equations of the unstable ' liquid of the unitary un-compressed liquid into the difference equations and estimate the subsection point running status through using the extended Kalman filer as the boundary condition of the initial point running parameter of the pipeline. When the boundary condition changes it would causes the estimated value of the subsection point to change. According to these changes and some diagnosing methods we can judge if there is a leakage in the pipeline and calculate the leakage position and leakage flow.In the article we expound the method which detect the leakage position and estimate the leakage flow in theory and succeed in detecting the leakage position and estimating the leakage flow by using the method actually. | Keywords/Search Tags: | Transportation Pipeline, Leakage Detection, Position Calculation, Kalman Filter, Parameter Estimation, Transient Model | PDF Full Text Request | Related items |
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