Effective vibration waveform intercepting method based on three-level threshold judgment

Abstract

The invention discloses an effective vibration waveform intercepting method based on three-level threshold judgment, and the method comprises the steps: vibration data is acquired, an amplitude average of the vibration data is calculated, and if a signal is caused by large-scale environmental disturbance is judged through comparing the amplitude average of the vibration data and a global threshold; if the signal is a vibration signal is judged through comparing an amplitude of the vibration data and an amplitude threshold T1 of invaded data, and waveform data in certain length before and after the vibration data of the vibration signal is intercepted; fragment division is performed on the intercepted waveform data, vibration energy in each fragment is calculated and smoothed, and if the vibration waveform is effective is judged through comparing the number and threshold of fragment of which vibration energy serially exceeds a fragment vibration energy threshold. According to the invention, a three-level threshold is adopted to judge, misinformation caused by environment is prevented, calculation data volume is reduced, processing time is effectively shortened, and positioning precision of an optical fiber perimeter intrusion monitoring instrument.

Description

technical field [0001] The invention relates to the technical field of optical fiber sensing, in particular to an effective vibration waveform interception method based on three-stage threshold value judgment. Background technique [0002] Based on the Mach-Zehnder interference principle, the MZ optical fiber perimeter intrusion monitoring instrument uses optical fiber cables to detect external vibrations and identify illegal intrusions. It has strong anti-electromagnetic interference and can realize long-distance real-time monitoring and positioning of vibrations caused by perimeter intrusions. As the key technology of the perimeter security system, the real-time precise positioning of intrusion is one of the main research directions of the perimeter detection and early warning system. In practical applications, the monitoring environment is harsh, and there are large-scale and high-intensity noise effects. At the same time, the signal is collected and entered into the MZ f...

AI Technical Summary

Problems solved by technology

In practical applications, the monitoring environment is harsh, and there are large-scale and high-intensity noise effects. At the same time, the signal is collected and entered into the MZ fiber optic perimeter intrusion monitoring instrument. If a series of calculations are performed on all input signals, the MZ fiber optic perimeter intrusion monitoring The instrument will inevitably fail to meet the real-time requirements, and the tiny delay will continue to accumulate, which will eventually lead to the failure of the MZ fiber optic perimeter intrusion monitoring instrument; at the same time, the noise signal entering the positioning operation will also lead to low positioning accuracy of the MZ fiber optic perimeter intrusion monitoring instrument shortcoming

At present, the intrusion signal processing method of the MZ fiber optic perimeter intrusion monitoring instrument is relatively single, and it is mostly processed for a single situation, with poor adaptability, poor real-time performance, and low positioning accuracy, which cannot meet the needs of real-time and accurate monitoring of fiber optic fence perimeter intrusion.

Images