Methods Of Pipeline Monitoring Signal Processing Based On Distributed Optical Fiber Vibration Sensor

Resources which related to the development of economy is important,especially Oil and gas resources,and pipeline is the important method of oil or gas transportation because the pipeline can survive in a number of complex areas and terrain.But the fact that the event of theft phenomenon can produce economic losses and other accidents should not be ignored.Therefore,how to effectively solve the oil pipeline theft and excavation phenomenon is great important.Distributed optical fiber acoustic sensing system with a variety of outstanding advantages can effectively monitor and locate oil pipelines,but the environment is very complex,which has many types of interference events,it is prone to false positives or omission,which seriously restricts the application of the system.This paper is mainly based on distributed fiber optic sonic sensing of oil pipeline signal processing research,that is,the oil pipeline signal identification and signal identification of multiple events.And fallowing work is carried out:(1)The thesis first analyses the development of safety monitoring of oil and gas pipelines,the principle of distributed fiber acoustic wave sensing system.And then the methods of sensing signal acquisition,the research progress of fiber optic sensing signal are summarized respectively.(2)The research focus on the methods of extracting distinctive features of pipeline safety signals.Try to combine the short-time signal and long-term signal based on the correlation between the time and spatial domain,and then try to use statistics knowledge to extract short-term and long-term features based on the time domain and the transform domain.(3)Study the algorithm of classification and recognition of pipeline safety signals based on the extracted multiple resolution features which reduces the low false alarm rate.(4)Finally,this thesis analyzes the application requirements of petroleum pipeline in the field,and applies distributed optical fiber acoustic sensor to the monitoring of oil pipeline in a Sinopec company in Hebei.The reliability of the algorithm is verified in the field,which shows that the proposed algorithm can effectively locate and identify the event.in safety monitoring of long distance oil pipeline.