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Studying On Data Processing And Fusion Method Of Pipeline Surveying And Mapping

Posted on:2018-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:J Y YuFull Text:PDF
GTID:2321330536487782Subject:Traffic Information Engineering & Control
Abstract/Summary:PDF Full Text Request
Oil pipelines are the most important means of transporting oil.However,there will be deformation,damage corrosion and other issues,in the use of pipeline for a long time,which leads to leakage.So repairing the defect becomes the core of pipeline maintenance.Timely and fast repair can not only avoid the huge waste of valuable oil resources,but also every one of the pipeline maintenance personnel pursuit,so oil pipeline defect positioning technology came into being.It is very difficult to locate the defects of oil pipeline,because Pipeline laying of the original data is missing and Electromagnetic shielding’s effect in the pipeline lead to hardly receive GPS and geomagnetic signal.Although a few countries,such as the United States and Canada,can provide this service,they are expensive.At the same time because of the oil pipeline belonging to national important strategic resource attributes,it’s not convenient to entrusted foreign companies to carry out this work.In this respect,domestic scientific research workers carried out a lot of exploration and research,and achieved certain results,but still can not meet the practical application requirements.Commissioned by the China Petroleum Pipeline Bureau,the paper was carried out based on multi-information source of the oil pipeline defect location technology research.The outline of this paper was organized as follows:1.Combined with the analysis method of oil pipeline engineering in time and frequency domain,the data analysis system is constructed and the sensor data is preprocessed,the data before and after treatment are compared by static simulation experiment at the same time.2.Based on the deep research in the basic theory of strapdown inertial navigation system and integrated navigation,the accelerometer,gyroscope,milestone wheel and mark point are used as the information source,and the data fusion algorithm is implemented by standard Kalman data fusion technology.3.Considering the large deviation of the measured value and the no reference in the course of the actual fusion,a corresponding compensation scheme is proposed and applied to the iterative algorithm,which greatly improves the positioning accuracy of the marker.Finally,this paper extracts the actual operation data of several sections to carry on the test experiment,the experiment result achieves the anticipated request.
Keywords/Search Tags:PIG, Strapdown Inertial Navigation, Integrated Navigation, Data Fusion, Kalman Filter
PDF Full Text Request
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