Pipeline Monitoring And Evaluation Based On Distributed Fiber Optic Sensing Technology

Distributed optical fiber sensing technology is a research hotspot in recent years.Compared with traditional point sensors,optical fiber has many advantages such as distributed measurement,anti-electromagnetic interference,and good signal effectiveness.This paper applies distributed optical fiber sensing technology in the pipeline monitoring,the researches on pipeline subsidence and third-party intrusion damage identification are mainly carried out as follows:In the area of pipeline subsidence monitoring: Firstly,the related principles of Brillouin optical time-domain analysis technology and Brillouin optical time-domain fiber demodulator were studied;secondly,the fiber "strain-pipe subsidence displacement" algorithm was studied.A new method for indirect monitoring of pipeline subsidence using distributed optical fiber is proposed.At the same time,the fiber implantation method in pipeline settlement research was researched,and the "geotextile + fiber" implantation method was determined.Subsequently,the "strainpipe settlement displacement" algorithm was programmed and verified by the complex settlement curve of the structure Algorithm;Finally,by designing a simulation experiment of pipeline settlement,conducting experiments,analyzing and processing the collected data,the new indirect method for measuring pipeline settlement proposed in this paper is verified.In the research of pipeline third-party intrusion and damage identification: Firstly,we studied the principle of ?-OTDR phase-sensitive fiber-related sensing and ?-OTDR fiber demodulator;secondly,we built a ?-OTDR vibration test system in the laboratory,As an intrusive device,the excitation type shaker is used to study the relationship between external vibration and Rayleigh scattered light intensity and the characteristics of the instrument parameters of the ?-OTDR fiber demodulator.Then,the sensor fiber is embedded outdoors to simulate the common Third-party invasion and destruction,study the characteristics of vibration signals generated by third-party invasion and destruction;Finally,analyze and process the collected data,extract the characteristics of the vibration signals through a variety of signal processing methods,and then use SVM support vector machines for pipeline intrusion and destruction Research on Pattern Recognition.