Infrared axle temperature detection system audio frequency channel frequency measuring method

Abstract

The invention discloses an infrared axle temperature detection system audio frequency channel frequency measuring method. Based on an infrared axle channel supervision diagnosis system, an analysis diagnosis device and a monitoring terminal are both provided with a frequency measuring module; the frequency measuring module comprises a shaping circuit, an FPGA measuring module and a calculation controlling module. The shaping circuit receives and shapes audio signals, and then outputs the signals to the FPGA measuring module; the FPGA measuring module employs the multi-period synchronous measurement technology to measure standard clock signals and input the number of signals to be measured, and sends data to the calculation controlling module; the calculation controlling module receives the standard clock signals and inputs the number of signals to be measured, and calculates and inputs the frequency of signals to be measured. The method employs an FPGA to measure signal frequency, reduces measuring errors, improves measuring precision, realizes real-time signal frequency monitoring, and provides a basis for fault determination.

Description

technical field [0001] The invention relates to the field of automatic detection of an infrared shaft temperature detection system, in particular to an audio channel frequency measurement method of an infrared shaft temperature detection system. Background technique [0002] Infrared axle temperature detection systems are widely used in railway systems to monitor vehicle axle temperatures in real time. The system is mainly composed of infrared host, audio channel and monitoring center, which effectively prevents the vehicle from cutting the axle, and has achieved good results and played an important role in ensuring driving safety. [0003] The communication protocol of the infrared shaft temperature detection system is often not public. Even if the audio signal decoding data is obtained, the meaning of the data cannot be known, and it is impossible to determine whether the system is faulty. By measuring the frequency of the audio signal, the status of the line can be obtai...

AI Technical Summary

Problems solved by technology

The time-domain frequency measurement method generally uses a microprocessor, such as a single-chip microcomputer, to detect the zero-crossing period. However, the operating frequency of the single-chip microcomputer is low, and the counting frequency is not high, resulting in poor measurement accuracy.

The frequency domain frequency measurement method uses spectrum analysis techniques, such as fast Fourier transform (FFT), but FFT requires full-cycle sampling, and audio signals are nonlinear modulations, so it is difficult to sample all components for a full cycle, which cannot meet the requirements

Images