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The Study Of Ultra-high Water Pipelines Filling Fuzzy Expert Fault Diagnosis

Posted on:2017-05-04Degree:MasterType:Thesis
Country:ChinaCandidate:F YangFull Text:PDF
GTID:2271330485490011Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
In China, the coal is mainly derived from “three under and one below” mining.With the sustainable development of economy, coal resources is mined constantly, the proportion of “three under” coal accounts in total coal resources is getting bigger.Ultra-high water goaf filling technology can effectively solve the pressure coal phenomenon of “three under”, thereby improving the coal mining rate, and guaranteeing the complete mining area ecological environment. Due to some factors, such as the long transferring pipeline line of the ultra-high water filling system, the specificity of fluid filling material, fluid sediment deposition, corrosive from the environment components and halfway pipe cleaning, that could cause pipe blockage, condensation, leaks, even seriously affect the safe operation of a delivery line. At present, aiming at this kind of pipeline failure problem, most of the coal enterprises in our country still adopt the method of artificial along the pipeline patrol, leading to time-consuming, laborious,inaccurate positioning. When encountering the pipeline failure, we can only perform emergency treatment, which wastes a lot of man power and resources and go against the“energy saving and consumption reducing” principle. Therefore, the study of filling ultra-high water fault diagnosis methods has great important significance.This paper analyzes the research status of pipeline monitoring and ultra-high water filling pipeline monitoring study, and the combination a fuzzy set theory with expert system is proposed, the pressure of the pipeline and the ultra-high water flow at the same time is monitored, and further the algorithm for diagnosing whether the pipeline occurs the faults studied. Firstly, according to the specific situations of the blank area of the underground coal mine, the layout of the goaf ultra-high water filled pipes is completed, and the topology layout of pressure sensors and flow sensors in the pipeline is built, while the transfer pipeline, pressure sensors and flow sensor selection are completed. Secondly, the key technology of Ultra-high water pipelines filling fault diagnosis fuzzy expert system is studied, including fuzzy input process data, the establishment of the knowledge base, knowledge representation and reasoning mechanisms. Finally, the simulation experiment of the fuzzy expert troubleshooting of ultra-high water filled pipes is completed by MATLAB.The experiment shows that the fuzzy expert fault diagnosis system can more accurately diagnose the failure of ultra-high water filling pipe, improving the working efficiency and reducing the cost of the raw material, and realizing the automation of the mine monitoring system.
Keywords/Search Tags:the ultra-high water backfilling, fuzzy reasoning algorithm, expert system, fault diagnosis
PDF Full Text Request
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