Research On Optical Fiber Source Detection And Separation Method Based On Random Distribution Control Theor

The safe transportation of oil and gas pipelines is of great significance for the stability of society and the development of the economy.Oil and gas pipelines are usually buried in the same trench as fiber optics,and the operation of the pipelines can be indirectly judged by detecting the operation of the fiber optics.Currently,there exist some traditional algorithms to detect and isolate fiber optic faults,but these algorithms also bring high false alarm rates,as well as difficulties in the threshold selection.To this purpose,this paper uses Matlab,SQL Server and Unity 3D to build an optical fiber vibration source detection and early warning platform to verify the fault detection algorithm designed in this paper.This paper focuses on studying the methods of fault detection and isolation for fiber optic vibration source systems with multiple faults.The considered faults include additive faults,time-varying and timedelayed faults,and multiplicative faults.The specific work of this paper can be described as follows:1、 A simulation platform is built by using Matlab,SQL Server,and Unity 3D,which are connected via ODBC.Matlab is used to process the raw fiber optic data,while Unity 3D is used to render the fiber optic output.The processed fiber optic data and detection thresholds were stored in SQL Server.The optical fiber vibration source detection platform is established through data interation between softwares.When the optical fiber data is greater than the detection threshold,the alert text will be displayed on the Unity interface,and the alert location will flash.2、 An optical fiber vibration source system with additive faults is considered.Firstly,the square root B-spline expansion method is used to approximate the output PDFs.Secondly,a nonlinear weighted dynamic model is established through neural networks.Thirdly,both the nonlinear filter and residual generator are constructed to estimate the weights and to analyze the residual,so as to detect,diagnose and isolate the faults.Finally,using LMIs,and according to the Lyapunov theorem,the stability of the estimation error system is proved,and the fault detection can be performed through the threshold.3、 An optical fiber vibration source system with time-delay time-varying faults is considered.Firstly,the square root B-spline expansion method is used to approximate the output PDFs,and the outputs of the optical fiber vibration source system is statically modeled.Secondly,the second step of the two-step neural network method is used to build the weight dynamic model for the optical fiber vibration source system.Finally,the fault detection filter and fault diagnosis filter are constructed,and the fault detection and fault diagnosis filter are designed.The estimation error system is also analyzed,and the stability of the error system is proved through Lyapunov theorem.4、 An optical fiber vibration source system with multiplicative faults is considered.Firstly,the square root B-spline expansion method is used to model the output of the optical fiber vibration source.Secondly,a nonlinear weighted dynamic model is established through neural networks.Finally,the multiplicative fault detection filter and fault diagnosis filter are designed,and the stability of the error system is proved according to the Lyapunov theorem.