Concrete quality detection method for building construction

Abstract

The invention relates to the technical field of ultrasonic detection, in particular to a concrete quality detection method for building construction, which comprises the following steps: acquiring a transmitting wave and a detection receiving wave, and reconstructing the detection receiving wave divided by using signal intensity to obtain a defect signal segment and an initial reconstruction signal thereof; obtaining a reconstruction reserved weight based on the peak steep characteristic presented in the defect signal segment; adjusting each wave crest in the initial reconstruction signal to obtain a fused reconstruction signal; dividing all fusion reconstruction signals based on signal intensity similar characteristics of the homologous signals to obtain first reflection signals and attenuation reflection signals thereof; and performing attenuation processing on the attenuation reflection signal of the first reflection signal to obtain a concrete quality detection wave. The invention aims to solve the interference caused by multiple reflections of ultrasonic waves in the concrete detection process and achieve the purposes of eliminating the interference and improving the concrete quality detection accuracy.

Description

Technical Field

[0001] The invention relates to the technical field of ultrasonic detection, and in particular to a concrete quality detection method used in building construction. Background Art

[0002] Concrete is the main building material in the construction industry, and the quality of concrete is directly related to the safety and durability of the entire building structure. The existing concrete quality detection technology uses ultrasonic pulse wave detection method for detection. Compared with the existing sampling and test block detection method, ultrasound can evaluate the strength and uniformity without destroying the concrete structure. When the ultrasonic pulse wave detection method is used to detect the quality of concrete, the defects inside the concrete will reflect and refract the ultrasonic pulse to form a reflected wave. The equipment detects the defect wave in the reflected wave of the ultrasonic echo to achieve the quality detection of the concrete.

[0003] Since the ultrasonic pulse detection method requires the probe to be attached to the concrete surface coated with a coupling agent, and the defect wave needs to pass through the concrete and the coupling agent when it is transmitted to the probe, there is a crossing of material types. Therefore, the interface will reflect the defect wave when crossing the material, and there will be other reflections inside the concrete, which will cause the defect wave collected by the probe to have not only the first reflection, but also pseudo-defect waves after multiple attenuations. The pseudo-defect waves interfere with the quality judgment of the concrete. Summary of the invention

[0004] The invention provides a concrete quality detection method for building construction to solve the existing problems.

[0005] A concrete quality detection method for building construction of the present invention adopts the following technical scheme: An embodiment of the present invention provides a method for detecting the quality of concrete used in building construction, the method comprising the following steps: Acquire a transmitting wave and detect a receiving wave, wherein the detecting receiving wave comprises a plurality of ultrasonic signals, and the attributes of the ultrasonic signals are time and signal amplitude; Using the signal amplitude of the transmitted wave as the standard signal strength, the detection receiving wave divided by the signal strength is reconstructed to obtain the defect signal segment and its initial reconstructed signal; Based on the peak steepness characteristics of the key information of quality inspection in the defect signal segment, the reconstruction retention weight of each peak in the defect signal segment is analyzed and obtained; the peaks in the initial reconstructed signal are adjusted using the reconstruction retention weight to obtain the fused reconstructed signal; all fused reconstructed signals are divided based on the similar signal intensity characteristics of the homologous signals to obtain the first reflection signal and its attenuated reflection signal; The attenuated reflected signal of the first reflected signal is attenuated to obtain the concrete quality detection wave.

[0006] Preferably, the specific steps of using the signal amplitude of the transmitted wave as the standard signal strength, reconstructing the detection receiving wave divided by the signal strength, and obtaining the defect signal segment and its initial reconstructed signal include: The ratio of all extreme value points in the defect signal segment to the standard signal strength is recorded as the initialization signal amplitude of each extreme value point in the initial reconstructed signal of the defect signal segment; Construct a reconstruction space, map the initial signal amplitude and time of all extreme points in the initial reconstructed signal of the defect signal segment to the reconstruction space, connect them in chronological order, obtain the initial reconstruction curve of the defect signal segment, and record the sequence composed of the signal amplitude corresponding to each time of the initial reconstruction curve as the initial reconstructed signal.

[0007] Preferably, the specific steps of obtaining the defect signal segment include: The signal amplitude of the detection receiving wave is detected using the 3 Sigma principle algorithm to obtain all the information ultrasonic signals; Merging all the information ultrasonic signals adjacent in time to obtain a number of ultrasonic signal segments; The information content of all ultrasonic signal segments is obtained, and the normalized information content of each ultrasonic signal segment is obtained after normalization. An information content threshold is preset, and the ultrasonic signal segment whose normalized information content is greater than the information content threshold is recorded as a defective signal segment.

[0008] Preferably, the specific steps of analyzing and obtaining the reconstruction retention weights of each peak in the defect signal segment based on the peak steepness characteristics of the key information of the quality detection in the defect signal segment include: For For each defect signal segment, according to the minimum point The defect signal segment is divided into the first defect signal segment, and the defect signal segment between every two adjacent minimum points is recorded as The ultrasonic signal interval of a peak of a defect signal segment; The first The sequence of ultrasonic signals between the start time and the previous signal of the maximum value of each peak in the defect signal segment is recorded as A first reflection intensity signal sequence of the ultrasonic signal interval of each peak in a defect signal segment; The first The sequence of ultrasonic signals from the maximum value to the end time of each peak of the ultrasonic signal interval in the defect signal segment is recorded as a second reflection intensity signal sequence of the ultrasonic signal interval of each peak in a defect signal segment; The first The first reflection intensity signal sequence of the ultrasonic signal interval of each peak in the defect signal segment is The mean of the residual values ​​of the ultrasonic signal sequence in the corresponding time interval on the initial reconstruction interval of the defect signal segment is recorded as The first information richness of the ultrasonic signal interval of each peak in the defect signal segment; The second reflection intensity signal sequence of the ultrasonic signal interval of each peak in the defect signal segment is The mean of the residual values ​​of the ultrasonic signal sequence in the corresponding time interval on the initial reconstruction interval of the defect signal segment is recorded as a second information richness of the ultrasonic signal interval of each peak in the defect signal segment; The first reflection intensity signal sequence and the second reflection intensity signal sequence, as well as the first information richness and the second information richness of the ultrasonic signal interval of the peak are analyzed to obtain the reconstruction retention weight of each peak in the defect signal segment.

[0009] Preferably, the specific steps of obtaining the reconstruction retention weight include: The first The first defect signal segment The first information richness of the ultrasonic signal interval with peaks is recorded as ; The first The first defect signal segment The second information richness of the ultrasonic signal interval with peaks is recorded as ; No. The first defect signal segment The key information content of the ultrasonic signal interval with peaks The calculation method is: in, For the The first defect signal segment The sequence length of the first reflection intensity signal sequence of the ultrasonic signal interval with peaks, For the The first defect signal segment The sequence length of the second reflection intensity signal sequence in the ultrasonic signal interval of the peaks; For the The first defect signal segment The sequence area of ​​the first reflection intensity signal sequence of the ultrasonic signal interval with a peak, For the The first defect signal segment A sequence area of ​​a second reflection intensity signal sequence in an ultrasonic signal interval having a peak; For the The first defect signal segment The first information richness of the ultrasonic signal interval with a peak, For the The first defect signal segment A second information richness of an ultrasonic signal interval having a peak; is the first preset hyperparameter; The key information content of the ultrasonic signal interval of each peak in each defect signal segment is obtained, and the normalized result of the key information content of the ultrasonic signal interval of each peak in each defect signal segment is recorded as the reconstruction retention weight of each peak in the defect signal segment.

[0010] Preferably, the specific steps of adjusting the peaks in the initial reconstructed signal by using the reconstruction retention weight to obtain the fused reconstructed signal include: The product of the reconstruction retention weight of each peak in the defect signal segment and the signal amplitude of the corresponding peak in the initial reconstructed signal of the defect signal segment is recorded as the adjusted amplitude of each peak in the initial reconstructed signal of the defect signal segment; The adjusted amplitudes of all peaks in the initial reconstructed signal of the defect signal segment are mapped to the reconstruction space, and the initialization signal amplitude of the corresponding peak is replaced. The signal amplitude of the minimum point in the reconstruction space after replacement and the adjusted amplitude of the peak are connected to obtain a fused reconstruction curve. The sequence composed of the signal amplitude corresponding to each time of the fused reconstruction curve is recorded as a fused reconstruction signal.

[0011] Preferably, the specific steps of dividing all fused reconstructed signals based on similar signal strength characteristics of homologous signals to obtain the first reflection signal and its attenuated reflection signal include: Obtaining the signal strength similarity probability of every two fused reconstructed signals, and constructing a homology analysis topological space based on the signal strength similarity probability of every two fused reconstructed signals; performing community division on the homology analysis topological space to obtain a number of homology communities; According to the time sequence of the detection receiving wave, all the fused reconstruction signals in each homologous community are arranged to obtain the fused reconstruction signal time series of each homologous community, and the first fused reconstruction signal in the fused reconstruction signal time series is recorded as a first reflection signal, and all other fused reconstruction signals in the fused reconstruction signal time series except the first fused reconstruction signal are recorded as ultrasonic signals in the corresponding time interval in the detection receiving wave as attenuated reflection signals of the first reflection signal.

[0012] Preferably, the specific steps of obtaining the signal strength similarity probability include: For The fused reconstructed signal and For the fused reconstructed signal, The fused reconstructed signal and The fusion reconstructed signal takes the largest sequence number of the two as the first The fused reconstructed signal and The number of standard serial numbers of the fused reconstructed signals is interpolated to obtain the The aligned sequences of the fused reconstructed signals and the The aligned sequences of the fused reconstructed signals; No. The fused reconstructed signal and The probability of similarity of the signal strength of the fused reconstructed signals The calculation method is: in, For the The fused reconstructed signal and The number of standard serial numbers of the fused reconstructed signals, For the The first The signal amplitude, For the The first A signal amplitude; Preset hyperparameters for the second one.

[0013] Preferably, the specific steps of obtaining the concrete quality detection wave include: Obtain all corrected reflection signals of all first reflection signals; The attenuation amplitudes at all times in all corrected reflection signals are used to replace the signal amplitudes at corresponding times in the detection receiving waves, and the replaced detection receiving waves are recorded as concrete quality detection waves.

[0014] Preferably, the specific steps of obtaining the corrected reflection signal include: The probability of signal strength similarity between the first reflection signal and the fused reconstructed signal corresponding to each of its attenuated reflection signals is used as the attenuation weight of each attenuated reflection signal of the first reflection signal; The product of the signal amplitude at each moment of each attenuated reflection signal of the first reflection signal and the reciprocal of the attenuation weight of each attenuated reflection signal of the first reflection signal is taken as the attenuation amplitude at each moment of each attenuated reflection signal of the first reflection signal; An ultrasonic signal composed of the attenuation amplitudes at all moments in each attenuated reflection signal of the first reflection signal is recorded as each corrected reflection signal of the first reflection signal.

[0015] The beneficial effects of the technical solution of the present invention are: obtaining a transmitting wave and detecting a receiving wave; using the signal amplitude of the transmitting wave as the standard signal strength, reconstructing the detecting receiving wave divided by the signal strength, obtaining a defect signal segment and its initial reconstructed signal; making the divided defect signal segment represent the ultrasonic reflection caused by the defect obstacle in the concrete; based on the steep peak characteristics of the key information of quality detection in the defect signal segment, analyzing and obtaining the reconstruction retention weight of each peak in the defect signal segment, using the important ultrasonic reflection steeper and signal strength greater characteristics, quantifying the reconstruction retention weight of each peak; using the reconstruction retention weight to adjust each peak in the initial reconstructed signal to obtain a fused reconstructed signal, so that the fused reconstructed signal only contains key information, avoiding interference from non-key information during homologous analysis; dividing all fused reconstructed signals based on the signal strength similarity characteristics of the homologous signals, obtaining the first reflection signal and its attenuated reflection signal; attenuating the attenuated reflection signal of the first reflection signal to obtain a concrete quality detection wave. The present application analyzes the signal after multiple reflections of the first reflection signal in the detection receiving wave, and attenuates the multiple reflected signals, thereby eliminating the problem of interference of multiple reflected waves and improving the accuracy of concrete quality detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flowchart of the steps of a concrete quality detection method for building construction according to the present invention; Figure 2 It is a schematic diagram of an initial reconstructed signal in one embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the concrete quality detection method for building construction proposed by the present invention, its specific implementation method, structure, characteristics and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0019] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0020] The following is a detailed description of a concrete quality detection method for building construction provided by the present invention in conjunction with the accompanying drawings.

[0021] See also Figure 1 , which shows a flow chart structure diagram of a method for detecting concrete quality for building construction provided by an embodiment of the present invention, the method comprising the following steps: Step S001, acquiring the transmitted wave and detecting the received wave.

[0022] In the current construction industry, concrete is the main high-strength building material, and its construction quality directly affects the safety and durability of the entire building construction structure. Therefore, it is necessary to detect the quality of concrete through ultrasound. The purpose of this embodiment is to solve the problem that multiple reflections of ultrasound in concrete cause pseudo-defect waves to exist in the detection results, resulting in reduced detection accuracy. Therefore, it is first necessary to collect the transmission wave and detection receiving wave during the detection process.

[0023] Preferably, the specific steps of acquiring the transmitted wave and detecting the received wave are: It should be noted that this embodiment uses an ultrasonic pulse device with an ultrasonic probe to collect data, wherein the transmission wave is a sound wave of a fixed frequency, and the ultrasonic probe of this embodiment generates a 0.8 MHz transmission wave for detection; Coupling agent is applied to the ultrasonic probe, and the ultrasonic probe is attached to the concrete surface to be detected to emit a transmitting wave, and the ultrasonic wave received by the ultrasonic probe is recorded as a detection receiving wave. The detection receiving wave is a timing signal amplitude signal, wherein the horizontal axis is the time when each receiving wave appears, and the vertical axis is the signal amplitude of the receiving wave at each time.

[0024] It should be noted that, in order to make the sampling frequencies of the transmission wave and the detection reception wave correspond, the inverse of the frequency of the transmission wave emitted by the ultrasonic probe is used as the sampling frequency of the ultrasonic probe.

[0025] Step S002: Using the signal amplitude of the transmitted wave as the standard signal strength, reconstruct the detection receiving wave divided by the signal strength to obtain the defect signal segment and its initial reconstructed signal.

[0026] It should be noted that ultrasonic testing of concrete quality uses the principle that ultrasonic waves will be reflected when they encounter defects. By monitoring the time when the reflected wave appears and combining it with the transmission speed of the ultrasonic wave, the location of the defect can be obtained. When the ultrasonic wave does not encounter a defect in the concrete, the signal amplitude of the detection receiving wave approaches 0. When the ultrasonic wave encounters a defect, the signal amplitude of the detection receiving wave is larger. The larger the signal amplitude, the stronger the characteristics of the defect encountered by the ultrasonic wave, such as sharp crack edges and larger hollow volumes.

[0027] It should be further explained that, due to the large volume of defects in concrete such as cracks and voids, the defects appear as ultrasonic data segments for a period of time in the collected detection receiving waves, and except for the ultrasonic waves reflected by the defects, the other sampling times are all information-free ultrasonic data. Therefore, this embodiment divides the detection receiving waves according to the signal strength of the detection receiving waves based on the small proportion of ultrasonic waves with defect information in all ultrasonic waves and the continuous characteristics, and obtains several ultrasonic signal segments; then, the ultrasonic signal segments are screened according to the information content to obtain several defect signal segments.

[0028] Preferably, the specific steps of dividing the detection reception wave by using the signal strength of the detection reception wave to obtain a plurality of ultrasonic signal segments are: The signal amplitude of the detection receiving wave is detected using the 3 Sigma principle algorithm to obtain all the information ultrasonic signals; All the information ultrasonic signals adjacent to each other in time are combined to obtain several ultrasonic signal segments.

[0029] It should be noted that since the ultrasonic signal with information has a stronger signal amplitude and a smaller proportion than the ultrasonic signal without reflection, the ultrasonic signal with information can be detected by the 3 Sigma principle algorithm, and since the defect obstacles are regionally distributed, the ultrasonic signal will be reflected for a period of time; the 3 Sigma principle algorithm is an existing well-known technology and will not be repeated in this embodiment.

[0030] Preferably, the specific steps of screening the ultrasonic signal segments according to the information content to obtain a plurality of defect signal segments are: No. The information content of ultrasound signal segments The calculation method is: in, For the The maximum value of the signal amplitude of the ultrasonic signal segment, For the The mean amplitude of the ultrasonic signal segment, For the The variance of the signal amplitude of each ultrasonic signal segment.

[0031] It should be noted that the larger the signal amplitude of the acoustic wave signal in the detection receiving wave, the greater the difference between the defect obstacle encountered and the properties of normal concrete. Therefore, the difference between the maximum value and the mean value of the signal amplitude is used. Indicates signal strength and is expressed as the fluctuation of ultrasonic signal It represents the complexity of the defect signal and indicates the value of the information content.

[0032] Furthermore, the information content of all ultrasonic signal segments is obtained, and the information content is normalized using a maximum-minimum normalization algorithm to obtain the normalized information content of each ultrasonic signal segment. An information content threshold is preset. The information content threshold of this embodiment takes 0.3 as an example, and the ultrasonic signal segment whose normalized information content is greater than the information content threshold is recorded as a defective signal segment.

[0033] It should be noted that the ultrasonic signal will be reflected multiple times in the concrete, resulting in that after the first reflection signal of the defect obstacle is collected by the ultrasonic probe, the homologous ultrasonic signal after the first reflection signal is also collected, and the homologous ultrasonic signal will also be reflected multiple times, that is, the first reflection signal is the transmission wave of the homologous ultrasonic signal that is reflected multiple times. When there are multiple defect obstacles in the concrete, the first reflection signals of different defect obstacles and their homologous ultrasonic signals overlap with each other, which interferes with the concrete quality detection; therefore, this embodiment uses the transmission wave as the standard signal strength to reconstruct the defect signal segment to obtain the initial reconstructed signal of the defect signal segment, so that the initial reconstructed signal is used as the carrier basis of the key information obtained by the quality detection, and eliminates non-key information; this embodiment represents the key information with a signal with a large signal strength.

[0034] Preferably, the specific operation steps of reconstructing the defect signal segment by using the transmitted wave as the standard signal strength to obtain the initial reconstructed signal of the defect signal segment are: According to the extreme point detection algorithm, the The signal amplitudes of all extreme points in a defect signal segment and the time of the extreme points; The first The ratio of all extreme points in the defect signal segment to the signal amplitude of the transmitted wave is recorded as The initialization signal amplitude of each extreme point in the initial reconstructed signal of the defect signal segment; Construct a reconstruction space, where the horizontal axis is time and the vertical axis is the initialization signal amplitude. The initialization signal amplitude and time of all extreme points in the initial reconstruction signal of the defect signal segment are mapped to the reconstruction space and connected in time order to obtain the first The initial reconstruction curve of the defect signal segment is obtained, and the sequence of signal amplitudes corresponding to each time of the initial reconstruction curve is recorded as the initial reconstruction signal.

[0035] The initial reconstruction signal is Figure 2 As shown, each inflection point of the curve is an extreme point, where the maximum point represents an ultrasonic signal with a strong signal strength, and the minimum point represents an ultrasonic signal with a weak signal strength. By constructing the initial reconstructed signal, the non-critical information between the extreme points is eliminated, and only the extreme points as critical information are retained, thereby reducing the impact of non-critical information on the matching of homologous ultrasonic signals.

[0036] Step S003, based on the steep peak characteristics presented in the defect signal segment of the key information of quality detection, analyze and obtain the reconstruction retention weight of each peak in the defect signal segment; use the reconstruction retention weight to adjust each peak in the initial reconstructed signal to obtain a fused reconstructed signal; divide all fused reconstructed signals based on the similar signal intensity characteristics of the homologous signals to obtain the first reflection signal and its attenuated reflection signal.

[0037] It should be noted that ultrasonic detection of defect barriers is based on the principle that the propagation speed of ultrasound in concrete is related to density and elastic modulus. When ultrasound propagates from one medium to another medium with different density, reflection and refraction will occur at the interface. The intensity of the reflected wave depends on the difference in acoustic impedance between the two media and the elastic modulus of the medium. The greater the difference in acoustic impedance and elastic modulus, the higher the reflectivity.

[0038] It should be further explained that sound reflection is related to the shape of the object. The reflection of ultrasound on a non-smooth medium will cause diffuse reflection and scattering due to the rough surface, resulting in the absorption of the ultrasound and only a part of it being reflected back. Therefore, the larger the signal amplitude of the ultrasonic signal, the greater the difference in density and acoustic impedance of the medium generating the reflection, and the more critical the information it represents. The steeper the amplitude of the ultrasonic signal, the more sudden the transition of the reflecting surface, the longer the duration and range of the peak, and the more the signal can reflect the characteristics of the defect. Therefore, this embodiment analyzes and obtains the reconstruction retention weight of each peak in the defect signal segment based on the steep peak characteristics of the key information of quality detection in the defect signal segment.

[0039] Preferably, based on the peak steepness feature of the key information of quality detection in the defect signal segment, the specific operation steps of analyzing and obtaining the reconstruction retention weight of each peak in the defect signal segment are: For For each defect signal segment, according to the minimum point The defect signal segment is divided into the first defect signal segment, and the defect signal segment between every two adjacent minimum points is recorded as The ultrasonic signal interval of a peak of each defect signal segment is obtained to obtain the ultrasonic signal intervals of all peaks of each defect signal segment; It should be noted that the start time of the defect signal segment and the first minimum value constitute the ultrasonic signal interval of the first peak, and the last minimum value and the signal at the end time constitute the ultrasonic signal interval of the last peak.

[0040] The first The sequence of ultrasonic signals between the start time and the previous signal of the maximum value of each peak in the defect signal segment is recorded as The first reflection intensity signal sequence of the ultrasonic signal interval of each peak in the defect signal segment; The sequence of ultrasonic signals from the maximum value to the end time of each peak of the ultrasonic signal interval in the defect signal segment is recorded as a second reflection intensity signal sequence of the ultrasonic signal interval of each peak in a defect signal segment; The first The first reflection intensity signal sequence of the ultrasonic signal interval of each peak in the defect signal segment is The mean of the residual values ​​of the ultrasonic signal sequence in the corresponding time interval on the initial reconstruction interval of the defect signal segment is recorded as The first information richness of the ultrasonic signal interval of each peak in the defect signal segment; The second reflection intensity signal sequence of the ultrasonic signal interval of each peak in the defect signal segment is The mean of the residual values ​​of the ultrasonic signal sequence in the corresponding time interval on the initial reconstruction interval of the defect signal segment is recorded as The second information richness of the ultrasonic signal interval of each peak in the defect signal segment.

[0041] It should be noted that, since the defect signal segment corresponds to the extreme point of the initial reconstruction signal, the ultrasonic signal interval of the peak corresponds to the time of the initial reconstruction interval, that is, the reflection intensity signal sequence corresponds to the signal in the initial reconstruction interval.

[0042] Furthermore, the peak steepness characteristics presented by the first reflection intensity signal sequence and the second reflection intensity signal sequence in the ultrasonic signal interval of the peak are analyzed to reflect the key information of quality detection. The specific steps for obtaining the reconstruction retention weight of each peak in the defect signal segment are as follows: The first The first defect signal segment The first information richness of the ultrasonic signal interval with peaks is recorded as ; The first The first defect signal segment The second information richness of the ultrasonic signal interval with peaks is recorded as ; No. The first defect signal segment The key information content of the ultrasonic signal interval with peaks The calculation method is: in, For the The first defect signal segment The sequence length of the first reflection intensity signal sequence of the ultrasonic signal interval with peaks, For the The first defect signal segment The sequence length of the second reflection intensity signal sequence in the ultrasonic signal interval of the peaks; For the The first defect signal segment The sequence area of ​​the first reflection intensity signal sequence of the ultrasonic signal interval with a peak, For the The first defect signal segment A sequence area of ​​a second reflection intensity signal sequence in an ultrasonic signal interval having a peak; For the The first defect signal segment The first information richness of the ultrasonic signal interval with a peak, For the The first defect signal segment A second information richness of an ultrasonic signal interval having a peak; is the first preset hyperparameter, which is used to avoid the denominator being 0. Give a narrative.

[0043] The sequence area is obtained by integrating the signal amplitude of each ultrasonic signal in the reflection intensity signal sequence at a minimum value over time, and recording it as the sequence area of ​​the reflection intensity signal sequence.

[0044] It should be noted that the sequence length It reflects the steepness of the reflection intensity signal sequence. When the extreme values ​​are the same, the shorter the sequence length, the greater the steepness, which means that the reflection intensity signal sequence can better reflect that the ultrasonic wave is reflected after passing through the defect obstacle area inside the concrete, and the reflected signal intensity is large. Therefore, the greater the key information content of the peak, the greater the value of its key information content. is the integral of the information richness of the reflection intensity signal sequence and the sequence area. The larger the value, the richer the information of the peak and the higher the peak, that is, the larger the signal amplitude of the ultrasonic signal, the stronger the reflection; then That means The information content of a peak per unit time. The larger the value, the more the peak needs to be retained during reconstruction, that is, the larger the reconstruction retention weight should be.

[0045] Furthermore, the key information content of the ultrasonic signal interval of each peak in each defect signal segment is obtained, and the key information content is normalized using the softmax function. The normalized result of the key information content of the ultrasonic signal interval of each peak in each defect signal segment is recorded as the reconstruction retention weight of each peak in the defect signal segment; wherein the softmax function is an existing well-known technology and will not be repeated in this embodiment.

[0046] It should be noted that the value of the reconstruction retention weight indicates the information content in the corresponding peak value, and the purpose of reconstructing the defect signal wave is to eliminate the waveform that does not contain important information, and only perform homology analysis on the signal containing key information generated by the defect obstacle reflection, thereby improving the accuracy of homology analysis. Therefore, this embodiment uses the reconstruction retention weight to adjust each peak in the initial reconstructed signal to obtain a fused reconstructed signal.

[0047] Preferably, according to the reconstruction retention weight of each peak in the defect signal segment, the peak in the initial reconstructed signal corresponding to each peak in the defect signal segment is adjusted to obtain the fused reconstructed signal of the defect signal segment in the specific steps of: The product of the reconstruction retention weight of each peak in the defect signal segment and the signal amplitude of the corresponding peak in the initial reconstructed signal of the defect signal segment is recorded as the adjusted amplitude of each peak in the initial reconstructed signal of the defect signal segment; The adjusted amplitudes of all peaks in the initial reconstructed signal of the defect signal segment are mapped to the reconstruction space, and the initialization signal amplitude of the corresponding peak is replaced. The signal amplitude of the minimum point in the reconstruction space after replacement and the adjusted amplitude of the peak are connected to obtain a fused reconstruction curve. The sequence composed of the signal amplitude corresponding to each time of the fused reconstruction curve is recorded as a fused reconstruction signal. Similarly, all fused reconstruction signals are obtained.

[0048] Furthermore, all fused reconstructed signals are divided based on the similarity of signal strengths of homologous signals, and the specific steps of obtaining the first reflection signal and its attenuated reflection signal are as follows: For The fused reconstructed signal and For the fused reconstructed signal, The fused reconstructed signal and The fusion reconstructed signal takes the largest sequence number of the two as the first The fused reconstructed signal and The number of standard serial numbers of the fused reconstructed signals is linearly interpolated to obtain the The aligned sequences of the fused reconstructed signals and the The aligned sequences of the fused reconstructed signals are made The fused reconstructed signal and The sequence lengths of the fused reconstructed signals are the same, and the comparison sequence contains signal amplitudes of the number of standard sequence numbers; No. The fused reconstructed signal and The probability of similarity of the signal strength of the fused reconstructed signals The calculation method is: in, For the The fused reconstructed signal and The number of standard serial numbers of the fused reconstructed signals, For the The first The signal amplitude, For the The first A signal amplitude; is the second preset hyperparameter, which is used to avoid the denominator being 0. Give a narrative.

[0049] in, For the The first The signal amplitude and The first The Euclidean norm of the signal amplitude is used to represent the difference in signal amplitude at the same sequence position. The smaller the difference, the greater the probability of similar signal strength.

[0050] Further, the signal strength similarity probability of each two fused reconstructed signals is obtained, and a homology analysis topological space is constructed based on the signal strength similarity probability of each two fused reconstructed signals, wherein the homology analysis topological space is a topological structure, each node in the homology analysis topological space is a fused reconstructed signal, and the degree between the nodes is the signal strength similarity probability of the two fused reconstructed signals; Further, the Louvain algorithm is used to divide the homology analysis topological space into communities to obtain a number of homology communities, wherein the homology communities contain a number of fusion reconstruction signals; The Louvain algorithm is a well-known technique used to divide the topological space into communities based on the similarity between nodes so that the correlation within each community is maximized.

[0051] According to the time sequence of the detection receiving wave, all the fused reconstruction signals in each homologous community are arranged to obtain the fused reconstruction signal time sequence of each homologous community, the first fused reconstruction signal in the fused reconstruction signal time sequence is recorded as a first reflection signal, and all other fused reconstruction signals in the fused reconstruction signal time sequence except the first fused reconstruction signal are recorded as ultrasonic signals in the corresponding time interval in the detection receiving wave as attenuated reflection signals of the first reflection signal; It should be noted that the probability of signal intensity similarity reflects the difference in signal amplitudes of two fused reconstructed signals at the same sequence position. If the two fused reconstructed signals are homologous, combined with the fixed propagation speed of ultrasound in the material, reflection can only affect the signal amplitude but not the signal length. When the difference in signal amplitudes of the two fused reconstructed signals is the smallest, it means that the two fused reconstructed signals are homologous.

[0052] It should be further explained that since the reflected signal after the first reflected signal will be reflected multiple times, the subsequently reflected signals are all after the first reflected signal attenuates. Therefore, the waveforms of the subsequently reflected signals are highly similar to those of the first reflected signal. The Louvain algorithm can divide the target according to the similarity so that there is no connection between different communities. Therefore, after the division, each community contains only one reflected signal. Then the subsequently collected signals are all interference from the earliest signal after reflection.

[0053] Step S004: performing attenuation processing on the attenuated reflection signal of the first reflection signal to obtain a concrete quality detection wave.

[0054] It should be noted that after obtaining all the first reflection signals and their attenuated reflection signals, since the attenuated reflection signals are interferences generated by the first reflection signals after reflection, the attenuated reflection signals need to be smoothed so that the collected detection receiving waves only contain the waveform of the first reflection of the defect obstacle.

[0055] The probability of signal strength similarity between the first reflection signal and the fused reconstructed signal corresponding to each of its attenuated reflection signals is used as the attenuation weight of each attenuated reflection signal of the first reflection signal; The product of the signal amplitude at each moment of each attenuated reflection signal of the first reflection signal and the reciprocal of the attenuation weight of each attenuated reflection signal of the first reflection signal is taken as the attenuation amplitude at each moment of each attenuated reflection signal of the first reflection signal; An ultrasonic signal composed of the attenuation amplitudes at all moments of each attenuated reflection signal of the first reflection signal is recorded as each corrected reflection signal of the first reflection signal; Based on the above method, all corrected reflection signals of all first reflection signals are obtained; The attenuation amplitudes at all times in all corrected reflection signals are used to replace the signal amplitudes at corresponding times in the detection receiving waves, and the replaced detection receiving waves are recorded as concrete quality detection waves.

[0056] Furthermore, the time and signal amplitude of each first reflection signal in the concrete quality detection wave are obtained, and the concrete quality detection is performed according to the time and signal amplitude combined with the propagation speed of the ultrasonic signal in the concrete.

[0057] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting the quality of concrete used in building construction, characterized in that: The method comprises the following steps: Acquire a transmitting wave and detect a receiving wave, wherein the detecting receiving wave comprises a plurality of ultrasonic signals, and the attributes of the ultrasonic signals are time and signal amplitude; Using the signal amplitude of the transmitted wave as the standard signal strength, the detection receiving wave divided by the signal strength is reconstructed to obtain the defect signal segment and its initial reconstructed signal; Based on the peak steepness characteristics of the key information of quality inspection in the defect signal segment, the reconstruction retention weight of each peak in the defect signal segment is analyzed and obtained; the peaks in the initial reconstructed signal are adjusted using the reconstruction retention weight to obtain the fused reconstructed signal; all fused reconstructed signals are divided based on the similar signal intensity characteristics of the homologous signals to obtain the first reflection signal and its attenuated reflection signal; The attenuated reflected signal of the first reflected signal is attenuated to obtain the concrete quality detection wave.

2. A concrete quality detection method for building construction according to claim 1, characterized in that: The specific steps of using the signal amplitude of the transmitted wave as the standard signal strength, reconstructing the detection receiving wave divided by the signal strength, and obtaining the defect signal segment and its initial reconstructed signal include: The ratio of all extreme value points in the defect signal segment to the standard signal strength is recorded as the initialization signal amplitude of each extreme value point in the initial reconstructed signal of the defect signal segment; Construct a reconstruction space, map the initial signal amplitude and time of all extreme points in the initial reconstructed signal of the defect signal segment to the reconstruction space, connect them in chronological order, obtain the initial reconstruction curve of the defect signal segment, and record the sequence composed of the signal amplitude corresponding to each time of the initial reconstruction curve as the initial reconstructed signal.

3. A concrete quality detection method for building construction according to claim 2, characterized in that: The specific steps of obtaining the defect signal segment include: The signal amplitude of the detection receiving wave is detected using the 3 Sigma principle algorithm to obtain all the information ultrasonic signals; Merging all the information ultrasonic signals adjacent in time to obtain a number of ultrasonic signal segments; The information content of all ultrasonic signal segments is obtained, and the normalized information content of each ultrasonic signal segment is obtained after normalization. An information content threshold is preset, and the ultrasonic signal segment whose normalized information content is greater than the information content threshold is recorded as a defective signal segment.

4. A concrete quality detection method for building construction according to claim 1, characterized in that: The specific steps of analyzing and obtaining the reconstruction retention weights of each peak in the defect signal segment based on the peak steepness characteristics of the key information of the quality detection in the defect signal segment include: For For each defect signal segment, according to the minimum point The defect signal segment is divided into the first defect signal segment, and the defect signal segment between every two adjacent minimum points is recorded as The ultrasonic signal interval of a peak of a defect signal segment; The first The sequence of ultrasonic signals between the start time and the previous signal of the maximum value of each peak in the defect signal segment is recorded as A first reflection intensity signal sequence of the ultrasonic signal interval of each peak in a defect signal segment; The first The sequence of ultrasonic signals from the maximum value to the end time of each peak of the ultrasonic signal interval in the defect signal segment is recorded as a second reflection intensity signal sequence of the ultrasonic signal interval of each peak in a defect signal segment; The first The first reflection intensity signal sequence of the ultrasonic signal interval of each peak in the defect signal segment is The mean of the residual values ​​of the ultrasonic signal sequence in the corresponding time interval on the initial reconstruction interval of the defect signal segment is recorded as The first information richness of the ultrasonic signal interval of each peak in the defect signal segment; The second reflection intensity signal sequence of the ultrasonic signal interval of each peak in the defect signal segment is The mean of the residual values ​​of the ultrasonic signal sequence in the corresponding time interval on the initial reconstruction interval of the defect signal segment is recorded as a second information richness of the ultrasonic signal interval of each peak in the defect signal segment; The first reflection intensity signal sequence and the second reflection intensity signal sequence, as well as the first information richness and the second information richness of the ultrasonic signal interval of the peak are analyzed to obtain the reconstruction retention weight of each peak in the defect signal segment.

5. A concrete quality detection method for building construction according to claim 4, characterized in that: The specific steps of obtaining the reconstruction retention weight include: The first The first defect signal segment The first information richness of the ultrasonic signal interval with peaks is recorded as ; The first The first defect signal segment The second information richness of the ultrasonic signal interval with peaks is recorded as ; No. The first defect signal segment The key information content of the ultrasonic signal interval with peaks The calculation method is: in, For the The first defect signal segment The sequence length of the first reflection intensity signal sequence of the ultrasonic signal interval with peaks, For the The first defect signal segment The sequence length of the second reflection intensity signal sequence in the ultrasonic signal interval of the peaks; For the The first defect signal segment The sequence area of ​​the first reflection intensity signal sequence of the ultrasonic signal interval with a peak, For the The first defect signal segment A sequence area of ​​a second reflection intensity signal sequence in an ultrasonic signal interval having a peak; is the first preset hyperparameter; The key information content of the ultrasonic signal interval of each peak in each defect signal segment is obtained, and the normalized result of the key information content of the ultrasonic signal interval of each peak in each defect signal segment is recorded as the reconstruction retention weight of each peak in the defect signal segment.

6. A concrete quality detection method for building construction according to claim 1, characterized in that: The specific steps of adjusting the peaks in the initial reconstructed signal by using the reconstruction retention weight to obtain the fused reconstructed signal include: The product of the reconstruction retention weight of each peak in the defect signal segment and the signal amplitude of the corresponding peak in the initial reconstructed signal of the defect signal segment is recorded as the adjusted amplitude of each peak in the initial reconstructed signal of the defect signal segment; The adjusted amplitudes of all peaks in the initial reconstructed signal of the defect signal segment are mapped to the reconstruction space, and the initialization signal amplitude of the corresponding peak is replaced. The signal amplitude of the minimum point in the reconstruction space after replacement and the adjusted amplitude of the peak are connected to obtain a fused reconstruction curve. The sequence composed of the signal amplitude corresponding to each time of the fused reconstruction curve is recorded as a fused reconstruction signal.

7. A concrete quality detection method for building construction according to claim 1, characterized in that: The specific steps of dividing all fused reconstructed signals based on the similarity of signal strengths of homologous signals to obtain the first reflection signal and its attenuated reflection signal include: Obtaining the signal strength similarity probability of every two fused reconstructed signals, and constructing a homology analysis topological space based on the signal strength similarity probability of every two fused reconstructed signals; performing community division on the homology analysis topological space to obtain a number of homology communities; According to the time sequence of the detection receiving wave, all the fused reconstruction signals in each homologous community are arranged to obtain the fused reconstruction signal time series of each homologous community, and the first fused reconstruction signal in the fused reconstruction signal time series is recorded as a first reflection signal, and all other fused reconstruction signals in the fused reconstruction signal time series except the first fused reconstruction signal are recorded as ultrasonic signals in the corresponding time interval in the detection receiving wave as attenuated reflection signals of the first reflection signal.

8. A method for detecting concrete quality for construction according to claim 7, characterized in that: The specific steps of obtaining the signal strength similarity probability include: For The fused reconstructed signal and For the fused reconstructed signal, The fused reconstructed signal and The fusion reconstructed signal takes the largest sequence number of the two as the first The fused reconstructed signal and The number of standard serial numbers of the fused reconstructed signals is interpolated to obtain the The aligned sequences of the fused reconstructed signals and the The aligned sequences of the fused reconstructed signals; No. The fused reconstructed signal and The probability of similarity of the signal strength of the fused reconstructed signals The calculation method is: in, For the The fused reconstructed signal and The number of standard serial numbers of the fused reconstructed signals, For the The first The signal amplitude, For the The first A signal amplitude; Preset hyperparameters for the second one.

9. A concrete quality detection method for building construction according to claim 1, characterized in that: The specific steps of obtaining the concrete quality detection wave include: Obtain all corrected reflection signals of all first reflection signals; The attenuation amplitudes at all times in all corrected reflection signals are used to replace the signal amplitudes at corresponding times in the detection receiving waves, and the replaced detection receiving waves are recorded as concrete quality detection waves.

10. A method for detecting concrete quality for construction according to claim 9, characterized in that: The specific steps of obtaining the corrected reflection signal include: The probability of signal strength similarity between the first reflection signal and the fused reconstructed signal corresponding to each of its attenuated reflection signals is used as the attenuation weight of each attenuated reflection signal of the first reflection signal; The product of the signal amplitude at each moment of each attenuated reflection signal of the first reflection signal and the reciprocal of the attenuation weight of each attenuated reflection signal of the first reflection signal is taken as the attenuation amplitude at each moment of each attenuated reflection signal of the first reflection signal; An ultrasonic signal composed of the attenuation amplitudes at all moments in each attenuated reflection signal of the first reflection signal is recorded as each corrected reflection signal of the first reflection signal.

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