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Research On Leak Detection And Analysis Method Of Iron Concentrate Slurry Conveying Pipeline

Posted on:2018-03-06Degree:MasterType:Thesis
Country:ChinaCandidate:M MaoFull Text:PDF
GTID:2351330518961966Subject:Instrumentation engineering
Abstract/Summary:PDF Full Text Request
With the development of China's pipeline transportation technology which is more perfect and mature,the number of various pipelines and the service life increases year by year.The leakage detection of pipeline,especially the medium pipeline iron concentrate slurry transportation pipeline,will become the focus of current research.However,nowadays,at home and abroad,there is not mature enough research on this detection of pipeline.Meanwhile,the commonly used methods are very difficult to be applied in this field.The following are the reasons,the medium parameter is changeable,and it is difficult to exclude the interference signal of leakage,which causes high false alarm rate.Therefore,how to remove various or false interference signals such as normal working conditions of regulating valve,pump and blockage,so as to obtain accurate leakage information,is an important research topic in transportation technology of iron concentrate slurry pipeline.The main research work and achievements of this paper are as follows:(1)According to the complex characteristics of iron concentrate slurry,design the process of its transportation,determine and select its characteristics and the pipeline conveying parameters,so as to determine the reasonable transportation plan.Design and build the iron concentrate slurry transportation pipeline engineering test.Focus on the elaboration of the main function,the equipment signal collecting and receiving system,the test method of this platform.Design the an iron concentrate slurry transportation pipeline leak test system,so as to provide the data source for the subsequent leak pressure as well as flow signal analysis and processing.(2)Analyze the common methods of pipeline leak detection and analysis,and then propose the suitable methods after above comparative analysis.In view of its operation in a relatively harsh industrial environment,the theoretical analysis of the pressure and flow signal changes under various operating conditions,blockage and leakage.The test results show that when the leakage occurs,the change of the signal will be affected by other operating conditions.Therefore,through the analysis of the interference signal,when the leak occurs,the pressure signal decreased compared to the normal operating condition adjustment;upstream flow increased,while the normal operating condition decreased,which can further improve the accuracy of detection.(3)Propose a leak detection and analysis method of iron concentrate slurry pipeline based on EMD and VPMCD.Firstly,the pressure signal is decomposed into several intrinsic mode functions(IMF).Then change the IMF through Hilbert-Huang transform to obtain local Hilbert energy spectrum.According to the energy distribution of the standard deviation,choose the local energy spectrum that can accurately reflect the pipeline operation condition as the feature vector.Finally,establish leakage recognition model through the VPMCD classifier.The experimental results show that the method has good classification effect on the leakage characteristics of the iron concentrate slurry pipeline.Meanwhile,combined with the comprehensive analysis of traffic signals,the accuracy is further improved.The paper tests and selects the characteristics of iron concentrate slurry and its'transport parameters to determine the reasonable design and construction scheme of transportation.The paper designs iron concentrate slurry transportation pipeline engineering test system,makes the leakage experiment,analyzes the pipeline pressure and flow changes under different working conditions,so as to improve the recognition rate of leakage,which has a high theoretical significance and use value.
Keywords/Search Tags:iron concentrate slurry transportation pipeline, leakage, test system, condition adjustment, EMD, VPMCD
PDF Full Text Request
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