Optical Fiber Perimeter Intrusion Monitoring Method Based on Image Recognition

Abstract

The invention relates to an optical fiber perimeter intrusion monitoring method based on image recognition. The monitoring method is completed by an optical fiber vibration sensing system. The system includes a detection optical cable connected together, a monitoring host and a host computer; the monitoring method includes: external The vibration caused by the intrusion is detected by the detection optical cable and transmits the optical signal to the monitoring host; the monitoring host converts the received optical signal into an electrical signal, and then samples the electrical signal and converts it to analog-to-digital to obtain a discrete digital signal. The digital signal transmits To the upper computer; the upper computer processes the collected digital signals, and obtains the characteristic quantities of the processed signals to form one or more waterfall diagrams. According to the shape of the waterfall diagrams, the pattern recognition of the image is performed. Trigger an intrusion alarm. The optical fiber perimeter intrusion monitoring method of the present invention can identify intrusion behaviors in real time without additional equipment or a weather database, and has the characteristics of high intrusion recognition rate and low false alarm rate.

Description

technical field [0001] The invention relates to intelligent monitoring, in particular to an optical fiber perimeter intrusion monitoring method based on image recognition technology. Background technique [0002] With the construction of smart cities, the current perimeter security is becoming more and more important. The perimeter security monitoring system based on distributed optical fiber sensing is showing superior performance over traditional perimeter security. The distributed fiber optic perimeter security system will also be disturbed by wind and rain, heavy trucks, trains, etc., resulting in certain false alarms. In order to better improve the performance, it should not only be based on the existing signal demodulation technology, but also make full use of the growing pattern recognition technology. [0003] In the actual station environment, wind, rain, hail, tree branch touch, animal touch, bird start and stop, non-alarm signals, and vibrations caused by passin...

AI Technical Summary

Problems solved by technology

[0003] In the actual station environment, wind, rain, hail, tree branch touch, animal touch, bird start and stop, non-alarm signals, and vibrations caused by passing vehicles will generate disturbance signals similar to the intrusion intensity level, resulting in false alarms. report, but the shape of these disturbances in the waterfall chart will be different, such as figure 1 As shown, A in the figure is the wind blowing behavior, B is the 3 times knocking behavior

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