Wind and rain disturbing signal real-time judgment method

Abstract

The invention provides a wind and rain disturbing signal real-time judgment method. The method includes the steps that data are acquired in real time and stored in an internal data cache region; data are processed, a mean value of the cache region is calculated, and the data and the mean value of the internal data cache region are stored in a user cache region; mean value calculation is conducted, and a global mean value is acquired through calculation; the global mean value is compared with a global threshold value, if the global mean value is larger than the global threshold value, it is judged that signals are caused by wind and rain, and if the global mean value is smaller than or equal to the global threshold value, it is judged that signals are not caused by wind and rain. According to the method, the wind and rain signals are recognized through a method of comparing the mean value of data in a long cache pool and a set threshold value; in the process of calculating the mean value of the data in the long cache pool, a piecewise calculation and recording method is adopted, repetitive operation is avoided, and operand is reduced; the piecewise mean value calculation process is fused into the acquisition card acquisition process, operation time is not prolonged while acquisition is not affected, and signal processing time is shortened.

Description

technical field [0001] The invention belongs to the technical field of optical fiber sensing, and in particular relates to a real-time determination method for wind and rain disturbance signals of an MZ optical fiber perimeter intrusion monitoring instrument. 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. However, wind and rain disturbances in the natural environment have seriously affected the accuracy of monitoring instruments. [0003] MZ optical fiber is the key technology of the perimeter security system, and intelligent pattern recognition technology is one of the main research directions for future intelligent environment percep...

AI Technical Summary

Problems solved by technology

The current wind and rain signal identification method mainly adopts the judgment method in the transform domain (frequency domain, wavelet domain, etc.), that is, the signal in the time domain is transformed into the transform domain, and then the judgment is made according to the characteristics of the wind and rain signal in the transform domain, but this This method has complex algorithms, large amount of computation, and poor real-time performance, which cannot meet the needs of real-time monitoring of fiber optic fence perimeter intrusions.

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