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Classifier-based road underground cavity identification method, device and system

A technology of underground cavity and identification method, which is applied to measurement devices, character and pattern recognition, radio wave measurement systems, etc. Effect

Inactive Publication Date: 2020-04-10
北京中科蓝图科技有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to provide a method, device and system for identifying road underground cavities based on a classifier, so as to improve the problem of low accuracy and low reliability of manual interpretation of radar road detection data in the prior art

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  • Classifier-based road underground cavity identification method, device and system
  • Classifier-based road underground cavity identification method, device and system
  • Classifier-based road underground cavity identification method, device and system

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Embodiment Construction

[0030] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.

[0031] The research of the present invention finds that the physical properties of the cavity and the surrounding medium at the interface of the underground cavity are g...

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Abstract

The invention provides a road underground cavity recognition method, device and system based on a classifier. The method comprises the steps: acquiring sensing data of ground penetrating radars of allareas on a road; according to the sensing data, calculating an energy value of a reflected wave, an amplitude value of the reflected wave, a reflection coefficient of the reflected wave, a Fourier spectrum amplitude of the reflected wave and a cavity response value of the reflected wave in each region; inputting the energy value, the amplitude value, the reflection coefficient, the Fourier spectrum amplitude and the cavity response value of the reflected wave in each region into a pre-trained classifier as input data for classification to obtain an identification result of whether the corresponding region is an underground cavity or not, wherein a pre-trained classifier is an evidence theory K-nearest neighbor classifier, parameters in the evidence theory K-nearest neighbor classifier aredetermined by a genetic algorithm, and a fitness function of the genetic algorithm is determined according to the classification precision of the KNN classifier. According to the invention, the accuracy and reliability of road underground cavity detection can be improved.

Description

technical field [0001] The invention relates to the field of road detection, in particular to a method, device and system for identifying road underground cavities based on a classifier. Background technique [0002] Due to vehicle vibration, road surface water seepage and underground pipeline leakage, urban roads frequently suffer from cracking, deformation, subsidence and collapse. Through geophysical prospecting methods, regular urban road inspections can give early warning of hidden dangers of road subsidence. The ground penetrating radar method is a geophysical method for road detection that can satisfy fast, nondestructive and high resolution at the same time. [0003] At present, radar road detection data is interpreted manually. Faced with the massive data generated by rapid road detection, the manual method is inefficient and unable to submit the interpretation results in time, and there are large differences in interpretation accuracy among different personnel, an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/12G01S13/88
CPCG06N3/126G01S13/885G06F18/24147
Inventor 王继伟王子墨
Owner 北京中科蓝图科技有限公司
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