Research On The Temperature Resolution And Stability Of Distributed Optical Fiber Sensing System

Half of the20th century, the rapid development of optical fiber sensing technology bymeans of fiber-optic communication technology applications spread rapidly detect light wavesto carry data to take advantage of the characteristics of energy as a carrier of information, theoptical fiber as a transmission channel so that data can be effectively transferred the detectingdevice for detecting the temperature of the analysis processing and the advanced technologyof the corresponding results. Have to bring the temperature of the light energy information isdetected temperature information carrier, and fiber optic light transmission media, on theirown, there are many special features, and can be superior to many carriers and the placewhere the media. Distributed fiber optic temperature measurement system to detect the degreeof accuracy and completion time is largely affects the spatial resolution capabilities of thesystem, as well as the completion time information collection request from the client until theentire time to get a response. So to improve the processing speed of the various parts of thesystem, and coordinate the work of various data transfer between devices is the mostimportant research direction of distributed optical fiber temperature measurement system.The principle of distributed optical fiber temperature measurement system for in-depthanalysis, improved response time and accuracy of distributed optical fiber temperaturemeasurement system and other performance indicators. In the optical system design part,given by the corresponding analysis and calculation of the optimal fiber coupler splitting ratio,thereby improving the signal to noise ratio of the optical path portion of the system. In thehigh-speed acquisition circuit, we design an effective caching mechanism can be output to thedata collected in data processing. In software design, distributed optical fiber temperaturemeasurement system for the problem of long measurement period, we use adaptivethresholding wavelet filtering algorithm effectively replace the traditional filtering methods.Adaptive thresholding wavelet filtering algorithm can be subjected to the rules of data signalsin some exercises to mimic calculated at each spatial coordinates nonlinear threshold functionparameters, then the corresponding temperature data filtering work. The final comparison ofthe experimental results shows that this algorithm can improve the accuracy of detection ofthe temperature of the system to some extent, but also greatly shorten the detection period.