Deep learning based distributed optical fiber vibration sensing type intelligent safety monitoring method

Abstract

A deep learning based distributed optical fiber vibration sensing type intelligent safety monitoring method includes: signal demodulation and disturbance positioning of a distributed optical fiber vibration sensing technique; demodulation pattern acquisition; sample library construction and network training for network model generation; online real-time disturbance type recognition with a networkmodel; network model online training optimization and the like. Safety monitoring is realized by adoption of detection lines or zone boundary communication cables, and the method has advantages of high extensibility, convenience in networking, low cost, lightning interference prevention and the like. In addition, the method takes full distributed advantages of distributed optical fiber vibration sensing to realize classification and recognition of disturbance information by the aid of a deep learning network, high intelligent recognition accuracy and online optimization performances are achieved, long-distance and large-range circuit safety alarm information management cost and onsite confirmation cost can be reduced, and engineering application process and development of the field of distributed optical fiber safety monitoring systems are greatly promoted.

Description

technical field [0001] The invention relates to perimeter safety monitoring, in particular to a deep learning-based distributed optical fiber vibration sensing intelligent safety monitoring method. Background technique [0002] Distributed optical fiber vibration sensing safety monitoring technology is the focus of research in the field of perimeter safety monitoring in recent years. Thanks to the advantages of anti-electromagnetic interference, convenient installation, large sensing range, high positioning accuracy, and strong detection capabilities, distributed optical fiber vibration sensing technology has been widely used in safety monitoring and intrusion detection in many fields, such as: railway Illegal construction monitoring along the line, personnel intrusion monitoring, perimeter security monitoring of major national facilities and projects, perimeter security monitoring of important places and regions, security monitoring of long-distance oil and gas pipelines, e...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the shortcomings of the above-mentioned prior art, the purpose of the present invention is to propose a distributed optical fiber vibration sensing intelligent safety monitoring method based on deep learning, in order to break through the low recognition rate and classification problems faced by the development of the current distributed optical fiber safety monitoring field. Key issues such as limited quantity and inability to optimize online

Images