We propose a real-time monitoring method for shield tunnel boring machine cutter wear based on chirped fiber Bragg grating (CFBG). We use the chirped fiber Bragg grating as the wear detection sensor. When the wear occurs at the end face of the wear detection sensor (the end face of chirped fiber Bragg grating), the grating area of the chirped fiber Bragg grating will shorten with the occurrence of wear, which causes the bandwidth of the grating reflection spectrum to be narrowed, and the correlation theory of the fiber Bragg grating is used to calculate the wear rate. Experimental data shows that the sensor can survive in the actual operating conditions of the shield tunnel boring machine. After calibration, measurement accuracy can less than 1mm, and it can be used for real time wear detection of large machinery, such as shield tunnel boring machine.
This paper analyses several wavelength demodulation methods based on optical fiber Fabry-Perot tunable filter. In view of the shortcomings of these methods, we proposed a real-time data acquisition method and a simple and effective demodulation algorithm based on optical fiber Fabry-Perot tunable filter and set up a temperature sensing system. The sensing system consists of an FBG sensor part, a data acquisition part, a data demodulation part and a data display part, we introduce the operation of the data acquisition part by explaining how the hardware and software work. Then we introduce the method of data demodulation we proposed, and demonstrated the steps of data demodulation in detail. We test the performance of this data acquisition part by carrying out a temperature sensor experiment, and prove the effectiveness of the demodulation algorithm at the same time. In addition, most programming languages can implement this simple and effective algorithm.
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