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Grating array fiber perimeter intrusion identification method and device based on wavelet neural network

A wavelet neural network and grating array technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of single intrusion identification method, lack of intrusion factors, and false positives.

Pending Publication Date: 2020-10-20
武汉烽理光电技术有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above defects or improvement needs of the prior art, the present invention proposes a method and device for identifying fiber perimeter intrusion based on a wavelet neural network grating array, thereby solving the problem that the traditional optical fiber perimeter intrusion identification method is relatively simple and lacks intrusion factors. However, there are serious false positives, and it is impossible to evaluate the technical problems of intrusion effectiveness and intrusion manifestations

Method used

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  • Grating array fiber perimeter intrusion identification method and device based on wavelet neural network
  • Grating array fiber perimeter intrusion identification method and device based on wavelet neural network
  • Grating array fiber perimeter intrusion identification method and device based on wavelet neural network

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Embodiment 1

[0037] Such as figure 1Shown is a schematic diagram of the physical structure of an arrayed grating perimeter system provided by an embodiment of the present invention. The arrayed grating perimeter system in the embodiment of the present invention includes: a grating array fiber, a laser, an optical circulator, an interferometer, and a photodetector , acquisition card, upper computer and drive circuit;

[0038] Among them, the laser provides stable optical pulses, the acquisition card is a key device that can adjust the pulse width and intensity to provide signal data synchronization, and the grating array fiber has dual functions of sensing and transmission. The grating array perimeter system provides the basic process of original signal generation, modulation and demodulation, and provides the data basis of the embodiment of the present invention.

[0039] Such as figure 2 Shown is a schematic flow chart of a method provided by the embodiment of the present invention, fr...

Embodiment 2

[0083] Such as Figure 6 Shown is a schematic structural diagram of a device provided by an embodiment of the present invention, including:

[0084] A data collection module 601, configured to collect array signals in grating array optical fibers in different scenarios;

[0085] The data processing module 602 is used to digitally process the array signal in the grating array fiber in each scene according to the number of gratings in the grating array fiber and the sampling period to obtain a plurality of data frames to form a data set, wherein, Each scene corresponds to a data set, and each data frame in the data set corresponds to a raster signal;

[0086] A training module 603, configured to construct a wavelet neural network, and to learn and train the wavelet neural network based on the data set;

[0087] The identification module 604 is configured to normalize the output of the trained wavelet neural network, where the normalized values ​​correspond to different applica...

Embodiment 3

[0094] The present application also provides a computer-readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Programmable Read-Only Memory (PROM), Magnetic Storage, Magnetic Disk, Optical Disk, Server, App Store, etc., on which computer programs, program When executed by the processor, the wavelet neural network-based grating array fiber perimeter intrusion identification method in the method embodiment is realized.

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Abstract

The invention discloses a grating array fiber perimeter intrusion identification method and device based on a wavelet neural network, and belongs to the field of fiber sensing and intelligent identification, and the method comprises the steps: collecting a signal of each grating in a grating array fiber in different scenes; according to the number of gratings in the grating array optical fiber anda sampling period, digitally processing signals of the gratings to obtain a plurality of data frames to form a data set, wherein each scene corresponds to one data set, and each data frame in the data set corresponds to m grating signals in different sampling time periods; constructing a wavelet neural network, and learning and training the wavelet neural network based on the data set; normalizing the output of the trained wavelet neural network, wherein the normalized numerical values correspond to different application scenes. The perimeter intrusion identification method of the grating array optical fiber based on the wavelet neural network is realized by combining the technical attributes of the grating array optical fiber.

Description

technical field [0001] The invention belongs to the field of optical fiber sensing and intelligent identification, and more specifically relates to a method and device for intrusion identification of optical fiber perimeter based on wavelet neural network grating array. Background technique [0002] The grating array optical fiber uses the grating array written in the optical fiber as the sensing unit, and at the same time uses the optical fiber itself as the carrier of information transmission, which has dual functions of sensing and transmission. The perimeter system with grating array fiber as the core has the advantages of long detection distance, high sensitivity, high environmental adaptability, and strong anti-interference ability, and has a wide range of applications in security. The method of grating array fiber perimeter intrusion identification: when the perimeter has intrusion behavior, such as digging, climbing, knocking, etc., the grating in the pre-laid gratin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F2218/02G06F2218/12
Inventor 胡文宇徐一旻王月明宋珂唐婉
Owner 武汉烽理光电技术有限公司
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