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A method for intelligent detection of foundation pile quality

A technology of intelligent detection and foundation pile, which is applied in the direction of measuring devices, utilization of re-radiation, re-radiation of sound waves, etc., can solve the problems of non-uniqueness of wavelet function, influence of wavelet denoising, inappropriateness, etc., and avoid the influence of human factors , improve the detection accuracy, and realize the effect of real-time automatic evaluation

Inactive Publication Date: 2011-12-07
YANGTZE UNIVERSITY
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Problems solved by technology

However, due to the non-uniqueness of the wavelet function, using different wavelet bases to analyze the same problem will produce different results
In addition, even for the same wavelet basis function, different decomposition layers and the selection of useful signal frequency bands will directly affect the effect of wavelet denoising
Therefore, it is inappropriate to simply select a certain wavelet denoising model to process the reflected wave signal of the foundation pile.

Method used

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  • A method for intelligent detection of foundation pile quality
  • A method for intelligent detection of foundation pile quality
  • A method for intelligent detection of foundation pile quality

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Embodiment Construction

[0021] The present invention will be further described below in conjunction with the accompanying drawings and examples, but the examples should not be construed as limiting the present invention.

[0022] refer to figure 1 , the pile quality intelligent detection model first learns through standard samples to determine the signal processing model suitable for the measurement environment and measuring instruments, and then uses this model to extract and automatically identify the arrival time of the defect reflection wave and bottom reflection wave of the foundation pile, and then determine Pile defect location and length.

[0023] The intelligent measurement module is a hybrid model composed of Fourier transform FFT, wavelet denoising Wavelet-De-Noising, and Hilbert transform Hilbert. Its processing flow is as follows figure 2 As shown: firstly, FFT transform is used to determine the main frequency of the acoustic stress wave signal; then the wavelet transform is used to de...

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Abstract

The invention discloses a method for intelligently detecting the quality of foundation piles. The steps are as follows: 1) select a number of standard foundation pile samples, and vertically excite sound waves on the top of the sample foundation piles; 2) Multiple excitation-reception is performed on the same foundation pile, and the signals received multiple times are superimposed to improve the signal-to-noise ratio; 3) According to the (defect position w, length l ) parameters and recorded signal waveforms, train the foundation pile intelligent detection model, and determine the signal processing model parameters suitable for the measurement environment and measuring instruments; The method is used to obtain signal wave trains for processing, extract and automatically identify the arrival time of the defect reflection wave and the bottom reflection wave of the foundation pile, and then determine the defect position w and length l of the foundation pile.

Description

technical field [0001] The invention relates to a foundation pile detection method, in particular to a method for intelligent detection of foundation pile quality. Background technique [0002] At present, when the acoustic frequency stress wave reflection method is used to test and evaluate engineering piles, due to the influence of various environmental noises, the emission information in the test curve is seriously distorted, or even submerged, resulting in defects in the traditional method of relying on the experience of interpreters. The discriminative method is no longer effective. In response to this problem, some foreign scholars proposed to use the pile dynamic model containing complex parameters to generate a neural network-based training data set, and then use this set to make a diagnosis on the real measurement data. However, due to the complexity of the algorithm, the amount of calculation is very large, and the requirements for the processing platform are high...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S15/06G01S15/08
Inventor 罗明璋王军民卢光跃王坤胡煜斌王宏丽余厚全陈永军吴凌云翁惠辉谢凯徐振平徐菲张辉杨居朋杨旭辉雷鸣魏勇张明云赵江涵张正松李国成
Owner YANGTZE UNIVERSITY
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