CN117686598A - Anchor rod detection ultrasonic array echo signal processing method based on wavelet decomposition - Google Patents
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Abstract
The invention relates to the technical field of anchor rod detection, in particular to an ultrasonic array echo signal processing method and device for anchor rod detection based on wavelet decomposition, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring an ultrasonic echo signal; carrying out noise reduction treatment on the ultrasonic echo signals by using a noise reduction algorithm to obtain noise reduction echo signals; comparing the noise reduction echo signals with multiple characteristic parameters to obtain defective echo signals; and carrying out wavelet decomposition and filtering treatment on the defective echo signals to obtain defect positions. The ultrasonic probe of the ultrasonic array is excited by the emitted pulse voltage to emit ultrasonic transverse waves and propagate in the anchor rod, ultrasonic echo signals are obtained, noise reduction processing is carried out on the ultrasonic echo signals, defective echo signals are obtained through signal comparison, defect positioning is carried out on the basis of the defective echo signals, and signal processing efficiency is improved while detection accuracy is guaranteed.
Description
Technical Field
The application relates to the technical field of anchor rod detection, in particular to an anchor rod detection ultrasonic array echo signal processing method and device based on wavelet decomposition, electronic equipment and a storage medium.
Background
In the existing anchor rod nondestructive testing technology, algorithms including Fourier transform, wavelet decomposition, empirical mode decomposition, variation mode decomposition and the like are adopted in the ultrasonic echo signal processing process, but the existing main problems are that only a single anchor rod can be processed for transmitting and receiving signals once, and a plurality of anchor rods can not be processed for simultaneously detecting a plurality of signals in the existing automatic anchor rod construction and detection process. In the prior art, if the ultrasonic transverse wave array signal is to be processed, the probe in the probe array can not transmit and receive ultrasonic echo signals when transmitting and receiving the ultrasonic transverse wave signal each time, so that mutual interference between signals is avoided, and meanwhile, the echo signals of each time can be independently analyzed and processed only when the ultrasonic echo signals are processed, so that the detection efficiency of the internal defects of the anchor rod is greatly reduced, and meanwhile, the echo signal data set acquired by the array is not fully utilized, and the single signal processing speed is reduced.
It can be seen from the above that how to design an efficient and accurate anchor rod detection method is a problem to be solved.
Disclosure of Invention
The present application aims to solve, at least to some extent, one of the technical problems in the related art.
Therefore, a first object of the present application is to provide a method for processing echo signals of an ultrasonic array for detecting anchors based on wavelet decomposition, so as to solve the problems that the prior art means cannot process the existing automatic anchor construction detection process, multiple anchors detect multiple signals simultaneously, mutual interference between signals, and detection efficiency is low.
A second object of the present application is to propose a device.
A third object of the present application is to propose an electronic device.
A fourth object of the present application is to propose a computer readable storage medium.
To achieve the above objective, an embodiment of a first aspect of the present application provides a method for processing echo signals of an ultrasonic array for detecting an anchor rod based on wavelet decomposition, including:
acquiring an ultrasonic echo signal;
carrying out noise reduction treatment on the ultrasonic echo signals by using a noise reduction algorithm to obtain noise reduction echo signals;
comparing the noise reduction echo signals with multiple characteristic parameters to obtain defective echo signals;
and carrying out wavelet decomposition and filtering treatment on the defective echo signals to obtain defect positions.
Preferably, the acquiring the ultrasonic echo signal includes: the transmitting pulse voltage excites all ultrasonic probes of the ultrasonic array to transmit ultrasonic transverse waves and propagate in the anchor rod, and echoes are collected to obtain ultrasonic echo signals.
Preferably, the noise reduction processing is performed on the ultrasonic echo signal by using a noise reduction algorithm, and obtaining a noise reduction echo signal includes:
and removing high-frequency clutter signals in the ultrasonic transverse wave echo signals by adopting a moving window least square polynomial smoothing method to obtain noise reduction echo signals.
Preferably, the least squares polynomial smoothing method fits a polynomial as follows:
the window width adopted by the noise reduction algorithm is 2w+1, and the residual error after fitting is:
wherein h (x) is a polynomial fitting voltage echo signal, n is the order of a fitting polynomial, E is a residual error after fitting, a k Coefficients are determined for the fitting polynomial.
Preferably, the comparing the noise reduction echo signal with the multiple characteristic parameters, and obtaining the defective echo signal includes:
and cutting off the noise reduction echo signals, cutting off emission signals in the signals and echo signals at the bottom of the anchor rod, and comparing the uncut signals with non-defective echo signals to obtain defective echo signals.
Preferably, the performing wavelet decomposition and filtering processing on the defective echo signal to obtain a defect position includes:
presetting a wavelet scale, carrying out noise reduction and feature extraction processing on the defective echo signals by utilizing wavelet transformation, carrying out wavelet inverse transformation on the processed decomposition signals to reconstruct signals, determining the positions of the defective echoes in the reconstructed signals, and reversely pushing the positions of the defects.
Preferably, the wavelet transform thresholding parameter expression is:
where λ is a threshold value set by wavelet decomposition, and f (x) is an actual signal obtained by sampling.
To achieve the above object, an embodiment of a second aspect of the present application provides an echo signal processing device of an anchor rod detection ultrasonic array based on wavelet decomposition, including:
the signal acquisition module acquires an ultrasonic echo signal;
the noise reduction module is used for carrying out noise reduction processing on the ultrasonic echo signals by using a noise reduction algorithm to obtain noise reduction echo signals;
the comparison module is used for comparing the multiple characteristic parameters of the noise reduction echo signals to obtain defective echo signals;
and the defect back-pushing module is used for carrying out wavelet decomposition and filtering treatment on the defective echo signals to obtain defect positions.
To achieve the above object, an embodiment of a third aspect of the present application provides an electronic device, including: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to implement the method of any one of the above.
To achieve the above object, an embodiment of a fourth aspect of the present application proposes a computer-readable storage medium, including computer-executable instructions stored in the computer-readable storage medium, the computer-executable instructions being for implementing the method according to any one of the above.
According to the anchor rod detection ultrasonic array echo signal processing method based on wavelet decomposition, the ultrasonic probes of the ultrasonic array are excited by the emission pulse voltage to emit ultrasonic transverse waves and propagate in the anchor rod, the ultrasonic echo signals are acquired, noise reduction processing is carried out on the ultrasonic echo signals, defective echo signals are acquired through signal comparison, defect positioning is carried out based on the defective echo signals, and signal processing efficiency is improved while detection accuracy is guaranteed.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flowchart of a first embodiment of a method for processing echo signals of an ultrasonic array for detecting anchors based on wavelet decomposition according to the present invention;
FIG. 2 is a flow chart of a method for processing echo signals of an ultrasonic array for anchor rod detection;
FIG. 3 is a graph of a detection of noisy echo signals from a bolt using a 20KHz ultrasonic probe;
FIG. 4 is a graph of echo signals before and after preprocessing by the SG algorithm;
FIG. 5 is a schematic diagram of a transverse wave ultrasonic inspection probe;
fig. 6 is a block diagram of a device for processing echo signals of an anchor rod detection ultrasonic array based on wavelet decomposition according to an embodiment of the present invention.
Detailed Description
The invention provides a processing method, a device, electronic equipment and a storage medium for echo signals of an anchor rod detection ultrasonic array based on wavelet decomposition.
In order to better understand the aspects of the present invention, the present invention will be described in further detail with reference to the accompanying drawings and detailed description. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart of a first specific embodiment of a method for processing echo signals of an ultrasonic array for detecting an anchor rod based on wavelet decomposition according to the present invention; the specific operation steps are as follows:
step S101: acquiring an ultrasonic echo signal;
the transmitting pulse voltage excites all ultrasonic probes of the ultrasonic array to transmit ultrasonic transverse waves and propagate in the anchor rod, and echoes are collected to obtain ultrasonic echo signals.
Step S102: carrying out noise reduction treatment on the ultrasonic echo signals by using a noise reduction algorithm to obtain noise reduction echo signals;
removing high-frequency clutter signals in the ultrasonic transverse wave echo signals by adopting a moving window least square polynomial smoothing method to obtain noise reduction echo signals;
the least square polynomial smoothing method fits a polynomial as follows:
the window width adopted by the noise reduction algorithm is 2w+1, and the residual error after fitting is:
wherein h (x) is a voltage echo signal fitted by a polynomial, n is the order of the fitted polynomial, E is the residual error after fitting, a k Fitting polynomial undetermined coefficients;
pair a k The partial derivatives are respectively calculated according to the following calculation formulas:
where r is an integer from 0 to n, given w, n may be a fitting polynomial and calculating the center point results may result in a noise reduction.
Step S103: comparing the noise reduction echo signals with multiple characteristic parameters to obtain defective echo signals;
and cutting off the noise reduction echo signals, cutting off emission signals in the signals and echo signals at the bottom of the anchor rod, and comparing the uncut signals with non-defective echo signals to obtain defective echo signals.
Step S104: and carrying out wavelet decomposition and filtering treatment on the defective echo signals to obtain defect positions.
Presetting a wavelet scale, carrying out noise reduction and feature extraction processing on the defective echo signals by utilizing wavelet transformation, carrying out wavelet inverse transformation on the processed decomposition signals to reconstruct signals, determining the positions of the defective echoes in the reconstructed signals, and reversely pushing the positions of the defects.
The wavelet transformation thresholding parameter expression is:
where λ is a threshold value set by wavelet decomposition, and f (x) is an actual signal obtained by sampling.
The embodiment provides an anchor rod detection ultrasonic array echo signal processing method based on wavelet decomposition, which comprises the steps of transmitting pulse voltage to excite all ultrasonic probes of an ultrasonic array to transmit ultrasonic transverse waves and propagate in an anchor rod to obtain ultrasonic echo signals, carrying out noise reduction processing on the ultrasonic echo signals, obtaining defective echo signals through signal comparison, carrying out defect positioning based on the defective echo signals, and improving signal processing efficiency while ensuring detection accuracy.
Based on the above embodiments, this embodiment describes the method for processing echo signals of an anchor rod detection ultrasonic array based on wavelet decomposition, as shown in fig. 2, specifically as follows:
when an anchor rod is detected by using a 20KHz ultrasonic array, gaussian noise is added into an anchor rod ultrasonic echo signal collected in a coal mine maintenance stage in order to simulate vibration noise caused by a underground complex environment in the coal mine production stage, such as large equipment such as a scraper of a coal mining machine, noise caused by pneumatic machinery, ventilation equipment and the like, as shown in fig. 3, the result of adding artificially added Gaussian noise into an anchor rod ultrasonic echo signal is shown in fig. 4, the result of preprocessing the anchor rod ultrasonic echo signal by an SG algorithm is shown in fig. 4, a final echo signal diagram is finally obtained after wavelet noise reduction, and as can be seen from the diagram, the defect echo position is 1.4ms, and the position corresponding to the anchor rod is about 2.1 m.
1. Determining ultrasonic transverse wave working parameters including center frequency, pulse time and pulse width according to actual detection anchor rod conditions;
according to the mechanical structure characteristics of the materials of the actual anchor rod, the working frequency of the ultrasonic transverse wave of 20KHz is adopted in the embodiment, and according to different material properties, the working frequency is finely adjusted according to the penetrating capacity of the ultrasonic transverse wave. The invention adopts 1ms pulse time to detect, and has short pulse time, low echo signal capability of ultrasonic transverse wave, inconvenient detection, low echo signal resolution capability when long, large detection blind area and inconvenient defect detection and positioning.
2. Transmitting pulse voltage to excite all ultrasonic probes of the ultrasonic array to transmit ultrasonic transverse waves and propagate in the anchor rod, and collecting echo signals;
as shown in FIG. 5, the adopted ultrasonic array is composed of 32 transverse wave ultrasonic detection probes, and the collected echo signals are 32, so that in order to ensure that the signals are mutually independent and do not interfere with each other, one probe is excited to emit ultrasonic transverse waves and receive the ultrasonic transverse waves every 10 ms.
3. Performing preliminary noise reduction treatment on the ultrasonic echo signals by adopting a noise reduction algorithm;
and (3) denoising by adopting a moving window least square polynomial smoothing method (hereinafter referred to as SG algorithm) to remove high-frequency clutter signals possibly existing in the ultrasonic transverse wave echo signals. Let the ultrasonic echo signal be f (x), the window width adopted by the noise reduction algorithm be 2w+1, and the fitting polynomial be:
wherein h (x) is a fitted ultrasonic echo signal, n is the order of a fitting polynomial, which is less than or equal to 2w+1, a 1 a 2 …a k …a n For fitting the polynomial coefficient, the residual error E after fitting is:
pair a k The bias derivatives are respectively calculated as follows:
wherein r is an integer from 0 to n, given w, n can be given to obtain a fitting polynomial according to the above formula, and the result of calculating the center point can be obtained to obtain a noise reduction result. In the actual anchor rod detection process, in order to ensure accuracy and save calculation time, the GS smooth noise reduction parameters with w=10 and n=5 are adopted.
4. Comparing all collected echo signals of the ultrasonic array with multiple characteristic parameters to distinguish defective anchor rod echo signals from non-defective anchor rod echo signals
Firstly, cutting off the ultrasonic echo signals after noise reduction, cutting off the emission signals and echo signals at the bottom of the anchor rod in the signals, wherein the signals can influence the judgment of internal defects, then comparing the rest parts with specific non-defect echo signals, and mainly selecting the possible characteristic parameters such as the amplitude, the width, the frequency and the like of the reflection peak of the echo signals. And finally determining the echo signals of the defective anchor rods and the echo signals of the anchor rods without defects.
5. Selecting a proper wavelet scale, further performing wavelet decomposition on the echo signal of the defective anchor rod, further filtering, obtaining information of different scales, determining the position of the defect echo, and reversely pushing the position of the defect;
the method utilizes wavelet transformation to perform noise reduction and feature extraction processing on signals, and the main part comprises the following four steps, namely, the selection of wavelet bases, and the decomposition results are different when the wavelet bases are different. Considering that too long a support length produces a boundary problem that is too short to be beneficial to energy concentration, the db3 wavelet with the support length positioned at 5 has a vanishing moment of 3, and has good regularity so that the signal reconstruction is smoother. Secondly, the number of decomposition layers is generally selected to be 4 or 5 after considering the actual condition of the anchor rod and the influence of noise reduction of the previous SG algorithm on the ultrasonic transverse wave echo, so that on one hand, the accuracy of frequency decomposition and extraction can be ensured, and on the other hand, the calculation consumption can be reduced. Thirdly, selecting a threshold value, considering that cracks and pores in an anchor rod are smaller, and the defect echo energy in an ultrasonic signal is lower, the embodiment adopts a 10% emission peak value as the threshold value, and fourthly, in order to ensure the condition that the ultrasonic echo signal is discontinuous after thresholding, an improved thresholding parameter is adopted, wherein the specific formula is as follows:
lambda is a threshold set by wavelet decomposition.
And finally, carrying out wavelet inverse transformation on the processed decomposition signal to reconstruct the signal, determining the position of the defect echo in the reconstructed signal, and reversely pushing the position of the defect.
According to the anchor rod detection ultrasonic array echo signal processing method based on wavelet decomposition, the wavelet transformation is utilized to conduct noise reduction and feature extraction processing on signals, the number of decomposition layers is preset after the influence of actual anchor rod conditions and noise reduction of a previous SG algorithm on ultrasonic transverse wave echo is considered, on one hand, the accuracy of frequency decomposition and extraction can be guaranteed, on the other hand, the calculation consumption can be reduced, 10% emission wave peak value is adopted as a threshold value, the condition that ultrasonic echo signals are discontinuous after threshold value processing is guaranteed, and the signal processing efficiency is improved while the detection accuracy is guaranteed.
Referring to fig. 6, fig. 6 is a block diagram of a device for processing echo signals of an ultrasonic array for detecting an anchor rod based on wavelet decomposition according to an embodiment of the present invention; the specific apparatus may include:
the signal acquisition module 100 acquires an ultrasonic echo signal;
the noise reduction module 200 performs noise reduction processing on the ultrasonic echo signals by using a noise reduction algorithm to obtain noise reduction echo signals;
the comparison module 300 is used for comparing the multiple characteristic parameters of the noise reduction echo signals to obtain defective echo signals;
and the defect back-pushing module 400 performs wavelet decomposition and filtering processing on the defective echo signals to obtain defect positions.
The apparatus for processing echo signals of an anchor rod detection ultrasonic array based on wavelet decomposition is used to implement the foregoing method for processing echo signals of an anchor rod detection ultrasonic array based on wavelet decomposition, so that the detailed description of the embodiment of the apparatus for processing echo signals of an anchor rod detection ultrasonic array based on wavelet decomposition in the foregoing may be seen, for example, the signal acquisition module 100, the noise reduction module 200, the comparison module 300, and the defect inverse module 400 are respectively used to implement steps S101, S102, S103, and S104 in the foregoing method for processing echo signals of an anchor rod detection ultrasonic array based on wavelet decomposition, so that the detailed description of the embodiment of the invention may be referred to herein.
In order to achieve the above embodiments, the present application further proposes an electronic device including: a processor, and a memory communicatively coupled to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the methods provided by the previous embodiments.
In order to implement the above-mentioned embodiments, the present application also proposes a computer-readable storage medium in which computer-executable instructions are stored, which when executed by a processor are adapted to implement the methods provided by the foregoing embodiments.
In order to implement the above embodiments, the present application also proposes a computer program product comprising a computer program which, when executed by a processor, implements the method provided by the above embodiments.
The processes of collecting, storing, using, processing, transmitting, providing, disclosing and the like of the personal information of the user related in the application all accord with the regulations of related laws and regulations, and do not violate the popular public order.
It should be noted that personal information from users should be collected for legitimate and reasonable uses and not shared or sold outside of these legitimate uses. In addition, such collection/sharing should be performed after receiving user informed consent, including but not limited to informing the user to read user agreements/user notifications and signing agreements/authorizations including authorization-related user information before the user uses the functionality. In addition, any necessary steps are taken to safeguard and ensure access to such personal information data and to ensure that other persons having access to the personal information data adhere to their privacy policies and procedures.
The present application contemplates embodiments that may provide a user with selective prevention of use or access to personal information data. That is, the present disclosure contemplates that hardware and/or software may be provided to prevent or block access to such personal information data. Once personal information data is no longer needed, risk can be minimized by limiting data collection and deleting data. In addition, personal identification is removed from such personal information, as applicable, to protect the privacy of the user.
In the foregoing descriptions of embodiments, descriptions of the terms "one embodiment," "some embodiments," "example," "particular example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" is at least two, such as two, three, etc., unless explicitly defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (10)
1. The processing method of the echo signal of the anchor rod detection ultrasonic array based on wavelet decomposition is characterized by comprising the following steps:
acquiring an ultrasonic echo signal;
carrying out noise reduction treatment on the ultrasonic echo signals by using a noise reduction algorithm to obtain noise reduction echo signals;
comparing the noise reduction echo signals with multiple characteristic parameters to obtain defective echo signals;
and carrying out wavelet decomposition and filtering treatment on the defective echo signals to obtain defect positions.
2. The method for processing the echo signals of the ultrasonic array for detecting the anchor rod based on the wavelet decomposition according to claim 1, wherein the step of obtaining the ultrasonic echo signals comprises the steps of: the transmitting pulse voltage excites all ultrasonic probes of the ultrasonic array to transmit ultrasonic transverse waves and propagate in the anchor rod, and echoes are collected to obtain ultrasonic echo signals.
3. The method for processing the echo signals of the ultrasonic array based on the anchor rod detection based on the wavelet decomposition according to claim 1, wherein the step of performing noise reduction processing on the ultrasonic echo signals by using a noise reduction algorithm to obtain noise reduction echo signals comprises the following steps:
and removing high-frequency clutter signals in the ultrasonic transverse wave echo signals by adopting a moving window least square polynomial smoothing method to obtain noise reduction echo signals.
4. A method for processing echo signals of an ultrasonic array for detecting anchors based on wavelet decomposition according to claim 3, wherein the least squares polynomial smoothing method fits a polynomial as follows:
the window width adopted by the noise reduction algorithm is 2w+1, and the residual error after fitting is:
wherein h (x) is the voltage of polynomial fittingEcho signal, n is the order of the fitting polynomial, e is the residual after fitting, a k Coefficients are determined for the fitting polynomial.
5. The method for processing the echo signals of the ultrasonic array for detecting the anchor rod based on wavelet decomposition according to claim 1, wherein the step of comparing the noise reduction echo signals with a plurality of characteristic parameters to obtain defective echo signals comprises the steps of:
and cutting off the noise reduction echo signals, cutting off emission signals in the signals and echo signals at the bottom of the anchor rod, and comparing the uncut signals with non-defective echo signals to obtain defective echo signals.
6. The method for processing the echo signals of the ultrasonic array for detecting the anchor rod based on the wavelet decomposition according to claim 1, wherein the step of performing wavelet decomposition and filtering processing on the defective echo signals to obtain defect positions comprises the following steps:
presetting a wavelet scale, carrying out noise reduction and feature extraction processing on the defective echo signals by utilizing wavelet transformation, carrying out wavelet inverse transformation on the processed decomposition signals to reconstruct signals, determining the positions of the defective echoes in the reconstructed signals, and reversely pushing the positions of the defects.
7. The method for processing the echo signals of the ultrasonic array for detecting the anchor rod based on wavelet decomposition according to claim 6, wherein the wavelet transformation threshold processing parameter expression is:
where λ is a threshold value set by wavelet decomposition, and f (x) is an actual signal obtained by sampling.
8. An anchor rod detection ultrasonic array echo signal processing device based on wavelet decomposition, which is characterized by comprising:
the signal acquisition module acquires an ultrasonic echo signal;
the noise reduction module is used for carrying out noise reduction processing on the ultrasonic echo signals by using a noise reduction algorithm to obtain noise reduction echo signals;
the comparison module is used for comparing the multiple characteristic parameters of the noise reduction echo signals to obtain defective echo signals;
and the defect back-pushing module is used for carrying out wavelet decomposition and filtering treatment on the defective echo signals to obtain defect positions.
9. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1-7.
10. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-7.
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