A Feature Extraction and Classification Recognition Algorithm of Intrusion Vibration Signals in Mausoleum Area

A vibration signal and feature extraction technology, which is applied in character and pattern recognition, calculation, computer parts and other directions, can solve the problems that the recognition effect cannot meet the requirements and cannot be recognized, and achieve denoising and fine processing, and solve the modal The effect of aliasing problems

Active Publication Date: 2019-03-26
YANGTZE UNIVERSITY
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Problems solved by technology

For the above two methods, the recognition effect of the existing technology cannot meet the requirements, and even cannot recognize

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  • A Feature Extraction and Classification Recognition Algorithm of Intrusion Vibration Signals in Mausoleum Area
  • A Feature Extraction and Classification Recognition Algorithm of Intrusion Vibration Signals in Mausoleum Area
  • A Feature Extraction and Classification Recognition Algorithm of Intrusion Vibration Signals in Mausoleum Area

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form.

[0028] Due to the variability of mechanical properties and topography, the blasting vibration wave has random and non-repeatable characteristics that change complexly with time; through the on-site blasting waveform and related frequency spectrum measured in different environments, it is reflected that: under different conditions, the vibration waveform generated by blasting There are obvious differences: not only the vibration amplitude changes complicatedly, but also the frequency and duration of the wave show obvious differences with the characteristics of the explosion source, the center distance of the explosion, the scale of the explosion and the medium; it is a typical non-stationary signal The...

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Abstract

The invention discloses a feature extraction and classification recognition algorithm for intrusion vibration signals in mausoleum areas, which is suitable for a multi-grating sensor detection system, collects vibration signals through a multi-grating sensor network, uses EEMD algorithm to decompose to obtain IMF components, and calculates EEMD energy entropy. Eliminate the interference of non-human signals and perform feature extraction. Finally, the support vector machine optimized by the particle swarm algorithm is used to classify and identify intrusion signals and give early warnings to improve the accuracy of alarms and reduce false positives. It has practical value.

Description

technical field [0001] The invention relates to the fields of signal processing and pattern recognition, in particular to a feature extraction and classification recognition algorithm for mausoleum intrusion vibration signals suitable for a multi-grating sensor detection system. Background technique [0002] In recent years, driven by commercial interests, tomb robbers have committed many crimes in the ancient tomb area, resulting in the destruction of a large number of underground precious cultural relics. Tomb robbers’ equipment and methods are becoming more and more advanced. After ancient tombs are excavated, precious cultural relics will not only be lost to other places, but also the cultural and scientific value of ancient tombs will be destroyed. The losses are immeasurable. The security methods commonly used at home and abroad include infrared rays, cameras, ultrasonic waves, microwaves, etc. These methods have their inherent scope of use and thus have certain limita...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06F2218/08G06F2218/12
Inventor 张健
Owner YANGTZE UNIVERSITY
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