Research On Characteristics Of Bionic Skin Fiber Sensor Based On FBG

In order to explore the sensing performance of bare fiber gratings encapsulated with silicone,a fiber grating bionic skin sensor was fabricated and temperature,static pressure,and high-frequency impact sensing experiments were performed.Firstly,the preparation of bionic skin sensor was carried out,and a three-dimensional model was built using finite element to simulate the stress and perform the strain analysis.Secondly,the water bath method was used to perform the temperature rise and fall experiment.The sensitivity of temperature measurement was close to the sensitivity of bare fiber grating;Static pressure sensing experiments were performed on bionic skin sensors and bare fiber grating sensors.It was concluded that the sensitivity of bionic skin sensors is three times that of bare fiber grating sensors,and the linearity of bionic skin sensors is good.The linear correlation coefficient is as high as 99.66.Finally,on the basis of good static pressure sensing,the ability of the repeated ability of the bionic skin sensor and the ability to detect signals were further explored.The bionic skin sensor was subjected to the passing load and high-frequency impact test,and the bionic skin sensor was well reused.High sensitivity conclusions.The design of FBG bionic skin sensor has certain significance for the study of medical bionic body force and temperature.In addition,this paper designs a demodulation system application based on Bayspec FBGA demodulation module.First,the problem of peak wavelength acquisition and sampling frequency setting was studied and analyzed,and the peak wavelength detection function was realized.Second,the real-time online dynamic display interface was designed using the TeeChart control.Then,by turning on Task multi-threading,the data is saved to the background and the peak detection speed is improved.At last,the performance test of the demodulation system based on FBGA is carried out by building an experimental platform for vehicle detection on the model bridge.The results show that the system can detect the traffic condition of the vehicle.