Photoelectric Vibration Monitoring System Using Optical Fiber Sensing/Mathematical Modeling

Abstract

The optical fiber vibration monitoring system is designed, and the optical fiber with strong anti-interference performance, high stability and corrosion resistance is used as the sensor. Mach-Zehnder with high sensitivity is used for interference counting, and embedded technology is introduced. The extracted spectral characteristics of optical fiber signals are used for pattern recognition through a mathematical modeling method. In the hardware design, embedded technology is introduced. Multi-channel AD collects data, and the processed optical fiber data are communicated with the master computer through the high-speed network port to realize the data transmission without breakpoints, and then reduce the development cost. Fast Fourier transform (FFT) is used as the research method of mathematical modeling in optical fiber signal processing and is improved. The new algorithm can analyze the vibration signal from the frequency domain. In the test, one group of intrusion vibration signals and one group of ordinary vibration signals are taken as the test objects. The results show that the improved mathematical modeling method will not have the situation of false intrusion alarm, nor will it have the situation of common false alarm. Using this algorithm in the vibration monitoring system of optical fiber sensors can accurately identify intrusion signals to distinguish the intrusion vibration situation from the ordinary vibration situation.