Intelligent detection method for damage of photovoltaic micro pile foundation concrete

Abstract

The invention relates to a photovoltaic micro pile foundation concrete damage intelligent detection method which comprises the following steps: transmitting ultrasonic waves to concrete through an ultrasonic transmitter, and collecting ultrasonic signals reflected by the concrete through an ultrasonic receiver; analyzing the ultrasonic signal to obtain the amplitude of the ultrasonic signal; analyzing the distortion degree of the ultrasonic signal; analyzing the multipath effect possibility of the ultrasonic signal in combination with the distortion degree of the ultrasonic signal; performing enhancement processing on the amplitude of the ultrasonic signal based on the multipath effect possibility to obtain an enhanced amplification; and analyzing whether the concrete is damaged or not according to the enhanced amplitude. According to the photovoltaic micro pile foundation concrete damage intelligent detection method, by combining the distortion degree of the ultrasonic signals and the presented multipath effect possibility, enhancement adjustment of the ultrasonic signals is achieved, the difference between the ultrasonic signals with concrete damage and the ultrasonic signals with normal concrete is more obvious, and the detection accuracy is improved. And the detection accuracy of the concrete damage is improved.

Description

Technical Field

[0001] The invention relates to the field of ultrasonic data processing, and in particular to an intelligent detection method for concrete damage of a photovoltaic micropile foundation. Background Art

[0002] Photovoltaic micro pile foundation is a form of foundation used in the construction of photovoltaic power stations. It has the characteristics of strong adaptability, convenient construction and relatively low cost. This foundation usually adopts the method of steel pipe drilling and piling. The top of the pile is fixed on the photovoltaic base frame, and the bottom is fixed by pouring concrete to ensure the stability and durability of the structure. Micro pile foundations are suitable for various soil environments, especially in complex terrain conditions such as mountainous areas. They can provide good stability and bearing capacity. Concrete is an important bearing material for photovoltaic brackets, and its quality directly affects the safety and stability of the entire photovoltaic power generation system. In the process of use, due to the influence of factors such as bearing capacity and durability, concrete may be damaged to a certain extent, such as defects such as voids and cracks. Therefore, it is crucial to intelligently detect and evaluate the damage condition of the concrete of photovoltaic micro pile foundation.

[0003] Ultrasonic testing will not cause damage to concrete structures, and can safely assess their internal conditions. The strength of the ultrasonic signal received in the concrete reflects internal defect information, such as cracks, voids, and unevenness. However, when it comes to testing photovoltaic micropile foundation concrete, the following problems exist: the traditional ultrasonic testing of concrete is based on the energy loss during ultrasonic transmission to determine the internal structure, and the diameter of photovoltaic micropile foundation concrete is usually less than 400mm. Due to the small diameter of the micropile foundation, the ultrasonic propagation path in the pile is short, which leads to unclear signal attenuation and inability to effectively identify defects, and inaccurate detection of concrete damage. Summary of the invention

[0004] In order to solve the technical problem of inaccurate detection of concrete damage of photovoltaic micropile foundation, the present invention provides an intelligent detection method for concrete damage of photovoltaic micropile foundation, and the technical solution adopted is as follows:

[0005] A method for intelligently detecting damage to concrete of a photovoltaic micropile foundation, the method comprising:

[0006] The ultrasonic transmitter transmits ultrasonic waves to the concrete, and the ultrasonic receiver collects the ultrasonic signals reflected by the concrete;

[0007] Analyzing the ultrasonic signal to obtain the amplitude of the ultrasonic signal;

[0008] Analyzing the degree of distortion of the ultrasonic signal;

[0009] Analyzing the possibility of multipath effect of the ultrasonic signal in combination with the degree of distortion of the ultrasonic signal;

[0010] Based on the possibility of the multipath effect, the amplitude of the ultrasonic signal is enhanced to obtain an enhanced amplitude;

[0011] Whether the concrete is damaged is analyzed according to the enhanced amplitude.

[0012] The step of analyzing the distortion degree of the ultrasonic signal specifically includes:

[0013] Acquiring a signal period of the ultrasonic signal;

[0014] The ultrasonic signal in each signal period is analyzed respectively to obtain the distortion degree of the ultrasonic signal in different signal periods.

[0015] The step of analyzing the ultrasonic signal in each signal period to obtain the degree of distortion of the ultrasonic signal in different signal periods specifically includes:

[0016] Calculating the half-cycle signal symmetry of the ultrasonic signal within a signal cycle;

[0017] Calculating the range of the amplitude fluctuation of the ultrasonic signal within the signal period;

[0018] The degree of distortion of the ultrasonic signal within the signal period is calculated according to the symmetry of the half-period signal and the extreme difference of the amplitude fluctuation, so as to obtain the degree of distortion of the ultrasonic signal within all signal periods.

[0019] Wherein, the ultrasonic signal within one signal cycle includes a plurality of data points;

[0020] The calculating of the half-cycle signal symmetry of the ultrasonic signal within a signal cycle specifically includes:

[0021] Obtaining the amplitude of all data points within the signal period;

[0022] The half-period signal symmetry is calculated based on the amplitudes of all the data points.

[0023] Wherein, one data point includes multiple sub-signals;

[0024] Analyzing the possibility of multipath effect of the ultrasonic signal in combination with the distortion degree of the ultrasonic signal specifically includes:

[0025] Acquire the amplitude and frequency of ultrasound emitted by the ultrasonic transmitter;

[0026] For a data point, the total number of sub-signals corresponding to the data point is obtained respectively;

[0027] Acquire a direct wave signal from the sub-signals, wherein the direct wave signal is a signal with the shortest propagation time from among the sub-signals;

[0028] Analyze the initial multipath effect possibility of the ultrasonic signal of the data point according to the amplitude and frequency of the ultrasonic transmitter transmitting the ultrasound, the total number of the sub-signals, and the direct wave signal;

[0029] Combining the initial multipath effect possibility and the distortion degree of the ultrasonic signal to obtain the multipath effect possibility of the ultrasonic signal of the data point;

[0030] Wherein, before the amplitude is enhanced based on the possibility of the multipath effect to obtain the enhanced gain, the method further includes:

[0031] The multipath effect possibility is corrected to obtain a corrected multipath effect possibility.

[0032] The step of correcting the multipath effect possibility to obtain a corrected multipath effect possibility specifically includes:

[0033] Obtaining, from a data point, other sub-signals that belong to the same transmission signal as the i-th sub-signal of the data point, where i=1, 2, ..., n, and n is the total number of sub-signals contained in a data point;

[0034] Acquire the propagation time of the other sub-signals, where there are multiple other sub-signals and the propagation time is multiple;

[0035] calculating a variance of the propagation time;

[0036] Calculating an adjustment coefficient for the possibility of the multipath effect according to the variance of the propagation time;

[0037] The multipath effect possibility is corrected according to the adjustment coefficient to obtain a corrected multipath effect possibility.

[0038] The step of enhancing the amplitude based on the possibility of the multipath effect to obtain an enhanced amplitude specifically includes:

[0039] The amplitude is enhanced based on the corrected multipath effect possibility to obtain an enhanced gain.

[0040] The step of enhancing the amplitude based on the possibility of the multipath effect to obtain an enhanced amplitude specifically includes:

[0041] Normalize the corrected multipath signal likelihood for all data points;

[0042] The amplitude of the ultrasonic signal is enhanced by utilizing the normalized multipath signal probability to obtain an enhanced amplitude.

[0043] Before analyzing the ultrasonic signal to obtain the amplitude of the ultrasonic signal, the method further includes:

[0044] The ultrasound signal is filtered.

[0045] The present invention has the following beneficial effects: an intelligent detection method for concrete damage of a photovoltaic micropile foundation of the present invention realizes enhanced adjustment of the ultrasonic signal by combining the degree of distortion of the ultrasonic signal and the possibility of multipath effect exhibited, so that the difference between the ultrasonic signals of concrete damage and normal concrete is more obvious, thereby making the detection of concrete damage of the photovoltaic micropile foundation more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are 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.

[0047] Figure 1 A schematic diagram of a first process flow of a method for intelligently detecting damage to concrete of a photovoltaic micropile foundation provided by an embodiment of the present invention;

[0048] Figure 2 A schematic diagram of a first sub-process of a method for intelligently detecting damage to concrete of a photovoltaic micropile foundation provided by an embodiment of the present invention;

[0049] Figure 3 A schematic diagram of a second sub-process of a method for intelligently detecting damage to concrete of a photovoltaic micropile foundation provided by an embodiment of the present invention;

[0050] Figure 4 A schematic diagram of a third sub-process of a method for intelligently detecting damage to concrete of a photovoltaic micropile foundation provided by an embodiment of the present invention;

[0051] Figure 5 A second flow chart of a method for intelligently detecting damage to concrete of a photovoltaic micropile foundation provided by an embodiment of the present invention;

[0052] Figure 6 A schematic diagram of a fourth sub-process of an intelligent detection method for concrete damage of a photovoltaic micropile foundation provided by an embodiment of the present invention;

[0053] Figure 7 A schematic diagram of the fifth sub-process of a method for intelligently detecting concrete damage in a photovoltaic micropile foundation provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation method, structure, characteristics and effects of the intelligent detection method for concrete damage of photovoltaic micropile foundation proposed by the present invention are described in detail as follows 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.

[0055] 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.

[0056] The specific scheme of the intelligent detection method for concrete damage of photovoltaic micropile foundation provided by the present invention is described in detail below with reference to the accompanying drawings.

[0057] See also Figure 1 , which shows a method flow chart of an intelligent detection method for concrete damage of photovoltaic micropile foundation provided by an embodiment of the present invention, and the method for detecting the connection line of the indoor unit of the fixed-frequency air conditioner includes steps S101-S106:

[0058] S101, transmitting ultrasound to concrete through an ultrasonic transmitter, and collecting ultrasonic signals reflected by the concrete through an ultrasonic receiver.

[0059] Ultrasonic waves are generated by an ultrasonic transmitter on the ultrasonic sensor, and the ultrasonic transmission frequency is 200 Hz; the ultrasonic signal reflected by the concrete is acquired by an ultrasonic receiver, and the reflected ultrasonic waves and ultrasonic data of each sub-signal synthesized from the ultrasonic signal are recorded.

[0060] The ultrasonic signal is filtered to remove noise.

[0061] S102: Analyze the ultrasonic signal to obtain the amplitude of the ultrasonic signal.

[0062] The received ultrasonic signal corresponds to ultrasonic data of multiple sub-signals. By performing feature analysis on the ultrasonic data obtained by the ultrasonic receiver, information such as the amplitude, frequency, and propagation time of the ultrasonic signal can be obtained.

[0063] S103: Analyze the distortion degree of the ultrasonic signal.

[0064] Since ultrasonic signals will be reflected in concrete, the amplitude of the received ultrasonic signal can determine the damage to the concrete. Normal concrete has a tight internal structure and receives few reflected signals. The reflected signals are mainly direct waves with low energy loss, so there is a significant amplitude. On the contrary, if there are defects in concrete, such as cavities and cracks, the internal structure is empty, and the emitted ultrasound will be reflected and scattered in this empty structure, resulting in a significant attenuation of the sound wave energy, and thus a significant reduction in the amplitude. And since ultrasound is emitted at a fixed frequency, in the absence of damage, the signals received at different times will show a periodicity corresponding to the emission frequency, so that the ultrasonic signal shows a strong periodic change feature and the signal is stable. However, if there is concrete damage, ultrasound propagates along different paths, resulting in changes in the waveform, the periodicity of the signal is destroyed, and the signal is distorted. The more serious the concrete damage, the more serious the distortion.

[0065] In one embodiment, if Figure 2 As shown, step S103 specifically includes steps S1031-S1032:

[0066] S1031. Acquire the signal period of the ultrasonic signal.

[0067] S1032: Analyze the ultrasonic signal in each signal period respectively to obtain the distortion degree of the ultrasonic signal in different signal periods.

[0068] By analyzing the amplitude change and periodic change of the ultrasonic signal in different signal periods, the distortion degree of the ultrasonic signal in each signal period can be obtained.

[0069] Further, in one embodiment, if Figure 3 As shown, step S1032 specifically includes steps S3201-S3203:

[0070] S3201. Calculate the half-cycle signal symmetry of an ultrasonic signal within a signal cycle.

[0071] The weaker the symmetry of the ultrasonic signal between half signal cycles, the more obvious the distortion of the waveform of the ultrasonic signal. The greater the distortion, the worse the stability of the ultrasonic signal in adjacent signal cycles, and the greater the distortion.

[0072] The ultrasonic signal within one signal cycle includes multiple data points, and one data point corresponds to signal data collected by the ultrasonic receiver at a receiving time point.

[0073] In one embodiment, step S3201 specifically includes the following: acquiring the amplitudes of all data points within the signal period; and calculating the symmetry of the half-period signal according to the amplitudes of all data points.

[0074] The signal period of the ultrasonic signal is determined by the transmitted ultrasonic frequency, and the periodic segmentation of the collected ultrasonic signal is completed by the signal period.

[0075] Randomly select an ultrasonic signal with a signal period for analysis, and construct the formula as follows:

[0076]

[0077] Among them, x i represents the amplitude of the ith data point in the signal cycle, n represents the total number of data points in the signal cycle, and x n―i It represents the amplitude of the i-th data point from the end. S reflects the half-cycle signal symmetry of the ultrasonic signal within the signal period, and reflects the degree of distortion of the ultrasonic signal in the signal period. The worse the symmetry, the larger the value, and the more obvious the distortion of the ultrasonic signal.

[0078] S3202. Calculate the range of the amplitude fluctuation of the ultrasonic signal within the signal period.

[0079] S3203. Calculate the degree of distortion of the ultrasonic signal within the signal period according to the symmetry of the half-period signal and the range of the amplitude fluctuation to obtain the degree of distortion of the ultrasonic signal within all signal periods.

[0080] In a signal cycle, the smaller the amplitude of the ultrasonic signal, the greater the possibility of concrete damage and the greater the degree of signal distortion. The formula for constructing the degree of distortion of the ultrasonic signal is as follows:

[0081]

[0082] Among them, S reflects the half-cycle signal symmetry of the ultrasonic signal within the signal period, A represents the range of the amplitude fluctuation of the ultrasonic signal within the signal period, which is obtained by subtracting the minimum value of the ultrasonic signal amplitude within the signal period. The smaller the range, the smaller the fluctuation of the ultrasonic signal amplitude, the weaker the ultrasonic signal intensity, and the greater the distortion of the ultrasonic signal. var(A) represents the variance of the amplitude fluctuation range of the ultrasonic signal within the three adjacent periods of the signal period. The larger the variance, the greater the distortion of the ultrasonic signal. a represents the distortion degree of the ultrasonic signal within the signal period.

[0083] The distortion degree of the ultrasonic signal of each periodic signal is determined by calculation using the above formula.

[0084] S104: Analyze the possibility of multipath effect of the ultrasonic signal in combination with the distortion degree of the ultrasonic signal.

[0085] Since the presence of voids, cracks and other damages in concrete will lead to vacancies in the internal structure, the ultrasonic signal will show obvious reflection and scattering, resulting in the weakening of the received ultrasonic signal energy. However, due to the small diameter of the micropile foundation concrete, the signal attenuation is not obvious, resulting in a small degree of signal distortion showing concrete damage, which cannot be effectively distinguished from normal concrete signals. Defective concrete will cause a signal to be decomposed into multiple signals during the reflection and scattering process, resulting in a multipath effect. Although the ultrasonic signals of defective concrete and normal concrete obtained by the ultrasonic receiver are similar, the various sub-signals that make up the ultrasonic signal have different performances on the multipath effect, thereby achieving signal differentiation.

[0086] When concrete is damaged, the ultrasonic signal will have multipath effect, while when it is intact, the ultrasonic signal received is mainly direct wave, and the multipath effect is not obvious. Therefore, by using the performance of each sub-signal of the ultrasonic signal received at a certain moment (corresponding to a data point, a data point contains multiple sub-signals) on the multipath effect, the performance of the synthetic ultrasonic signal on the multipath effect can be determined.

[0087] In one embodiment, if Figure 4 As shown, step S104 specifically includes steps S1041-S1045:

[0088] S1041. Obtain the amplitude and frequency of ultrasound emitted by the ultrasound transmitter.

[0089] S1042. For a data point, obtain the total number of sub-signals corresponding to the data point.

[0090] S1043. Obtain a direct wave signal from the component signals, where the direct wave signal is a signal with the shortest propagation time from among the component signals.

[0091] S1044, analyzing the possibility of initial multipath effect of the ultrasonic signal of the data point according to the amplitude and frequency of the ultrasonic transmitter transmitting the ultrasound, the total number of sub-signals, and the direct wave signal.

[0092] A data point, that is, an ultrasonic signal received at a certain moment, has more sub-signals, which means that the ultrasonic signal at this moment is obtained through a large number of multiple propagation paths, and the possibility of multipath effect is greater; however, normal concrete will also have a certain degree of multipath effect, and the multipath effect has a certain delay, resulting in the ultrasonic signal of normal concrete may also have more sub-signals, but these sub-signals are not obtained by reflection from normal concrete, which leads to certain misjudgment; the multipath effect of normal concrete ultrasonic signal is weaker, the signal is mainly direct wave, the shortest signal in the sub-signals received at this moment is consistent with the frequency of the transmitted ultrasonic signal, and the amplitude is similar; even if multiple reflections occur, there will be no attenuation, so the amplitude of the sub-signal is also similar to the amplitude of the direct wave, thereby determining the initial multipath effect possibility of the ultrasonic signal at this data point.

[0093] The ultrasonic signal received by the ultrasonic receiver at a certain moment (i.e., a data point) is selected for analysis, and the formula is constructed as follows:

[0094]

[0095] Among them, f 0 Indicates the frequency of the ultrasonic wave emitted by the transmitter, A 0 represents the amplitude of ultrasound from the ultrasonic transmitter; f z It indicates the signal with the shortest propagation time among multiple sub-signals of the ultrasonic receiver at this moment, indicating the direct wave signal through direct reflection, z indicates that the zth signal in this data point is the direct wave signal, A z represents the amplitude of the transmitted direct wave signal, f i It represents the i-th signal (excluding the direct wave signal) among the multiple sub-signals received at this moment, n represents the total number of sub-signals received at this moment; β represents the initial multipath effect possibility exhibited by the received signal at this moment.

[0096] S1045: Obtain the multipath effect possibility of the ultrasonic signal of the data point by combining the initial multipath effect possibility and the distortion degree of the ultrasonic signal.

[0097] The formula for calculating the multipath effect possibility of the ultrasonic signal at a data point by combining the initial multipath effect possibility and the distortion degree of the ultrasonic signal is as follows:

[0098] c=α×β

[0099] Among them, α represents the degree of distortion of the signal period of the ultrasonic signal, β represents the possibility of the initial multipath effect of the received signal at that moment, and c represents the possibility of the multipath effect of the ultrasonic signal determined in combination with the degree of distortion of the ultrasonic signal, which reflects the damage of the concrete.

[0100] Further, in one embodiment, if Figure 5 As shown, after analyzing the multipath effect possibility of the ultrasonic signal in combination with the distortion degree of the ultrasonic signal, it also includes step S104a: correcting the multipath effect possibility to obtain a corrected multipath effect possibility.

[0101] The multiple sub-signals received may come from different transmitted signals. The multiple sub-signals received at the same time may belong to the multipath effect of ultrasonic signals transmitted at different times, which may lead to misjudgment of the possibility of multipath effect of the ultrasonic signal of the data point. Therefore, the possibility needs to be corrected.

[0102] In one embodiment, if Figure 6 As shown, step S104a specifically includes steps S201-S205:

[0103] S201. Obtain, from a data point, other sub-signals that belong to the same transmission signal as the i-th sub-signal of the data point, wherein i=1, 2, ..., n, and n is the total number of sub-signals included in a data point.

[0104] S202: Acquire the propagation time of the other sub-signals, where there are multiple other sub-signals and the propagation time is multiple.

[0105] S203: Calculate the variance of the propagation time.

[0106] S204: Calculate an adjustment coefficient of the multipath effect possibility according to the variance of the propagation time.

[0107] S205: Correct the multipath effect possibility according to the adjustment coefficient to obtain a corrected multipath effect possibility.

[0108] By utilizing the temporal concentration of the signal source of the received ultrasonic signal and the multiple sub-signals generated by it, the stronger the temporal concentration of the signal, the greater the possibility that it is a normal concrete signal; and if there is a large span in the propagation time between the sub-signals, it means that the signal shows a strong delay, which means that the signal has undergone multiple reflections in the concrete, etc., thus showing a strong multipath effect.

[0109] Select the ultrasonic data of a certain data point, determine the transmission signal corresponding to each sub-signal of the data point, and obtain the receiving time of each sub-signal belonging to the same transmission signal. The construction formula is as follows:

[0110] γ i =var(t i )

[0111] w=c×E(γi )

[0112] Among them, t i It represents the propagation time of other sub-signals that belong to the same transmission signal as the i-th sub-signal in the data point. There are multiple other sub-signals that belong to the same transmission signal as the i-th sub-signal, so t i There are multiple; γ i =var(t i ) represents the variance of the propagation time of these sub-signals, reflecting the temporal concentration of the ith sub-signal. The larger the value, the worse the concentration and the more obvious the multipath effect. If each sub-signal of the data point shows a strong multipath effect, the ultrasonic signal corresponding to the data point has an obvious multipath effect, and the possibility of the multipath effect should be magnified, E(γ i ) represents the expected value of the variance of all signal propagation times, that is, the average value, which is the average effect of the variance. i ) is used as the adjustment coefficient for the multipath effect to correct the initial multipath effect possibility; c represents the multipath effect possibility before correction; and w represents the multipath effect possibility after correction.

[0113] At this point, the possibility of multipath effect of the ultrasonic signal received at each moment being corrected has been completed.

[0114] S105. Enhance the amplitude of the ultrasonic signal based on the possibility of the multipath effect to obtain an enhanced amplitude.

[0115] In one embodiment, if the multipath effect possibility is not corrected, the amplitude of the ultrasonic signal is enhanced based on the multipath effect possibility before correction to obtain an enhanced gain.

[0116] In another embodiment, if the multipath effect possibility is corrected, the amplitude of the ultrasonic signal is enhanced based on the corrected multipath effect possibility to obtain an enhanced amplitude, such as Figure 5 As shown, the detection accuracy of concrete damage is further improved.

[0117] like Figure 7 The step S105 specifically includes steps S1051-S1052:

[0118] S1051. Normalize the corrected multipath signal probabilities of all data points.

[0119] S1052: Enhance the amplitude of the ultrasonic signal using the normalized multipath signal probability to obtain an enhanced amplitude.

[0120] In order to make the difference between the signal with concrete damage and the normal signal obvious, the possibility of multipath effect needs to be used as the weight of the ultrasonic amplitude in the WMA filtering algorithm to enhance the ultrasonic signal of concrete detection. The more obvious the multipath effect is, the greater the possibility of concrete damage is, the smaller the corresponding amplitude should be, and the smaller its weight value should be.

[0121] The construction formula is as follows:

[0122]

[0123] A represents the amplitude of the received ultrasonic signal, w represents the corrected multipath effect possibility of the ultrasonic signal, norm represents normalization of the corrected multipath effect possibility, and NA represents the amplitude data after signal enhancement, that is, enhanced amplitude.

[0124] S106: Analyze whether the concrete is damaged according to the enhanced amplitude.

[0125] The obtained NA represents the enhanced amplitude after filtering. Combined with multiple measurements and measurements at different angles, the damage location and degree of concrete can be obtained, thereby accurately determining the damage of concrete.

[0126] The present invention relates to an intelligent detection method for concrete damage of a photovoltaic micropile foundation. The method determines the distortion of an ultrasonic signal within a signal period; determines the performance of concrete damage in combination with the multipath effect of the ultrasonic signal, thereby determining the adjustment weight of each signal, and enhancing the ultrasonic signal based on the weight, so that the signal difference between damaged concrete and normal concrete is more obvious, thereby distinguishing the ultrasonic signal of normal concrete from the ultrasonic signal of damaged concrete, and accurately completing the detection of concrete damage.

[0127] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0128] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. An intelligent detection method for concrete damage of photovoltaic micropile foundation, characterized in that: The method comprises: The ultrasonic transmitter transmits ultrasonic waves to the concrete, and the ultrasonic receiver collects the ultrasonic signals reflected by the concrete; Analyzing the ultrasonic signal to obtain the amplitude of the ultrasonic signal; Analyzing the degree of distortion of the ultrasonic signal; Analyzing the possibility of multipath effect of the ultrasonic signal in combination with the degree of distortion of the ultrasonic signal; Based on the possibility of the multipath effect, the amplitude of the ultrasonic signal is enhanced to obtain an enhanced amplitude; Whether the concrete is damaged is analyzed according to the enhanced amplitude.

2. The intelligent detection method for concrete damage of photovoltaic micropile foundation according to claim 1 is characterized in that: The analyzing the distortion degree of the ultrasonic signal specifically includes: Acquiring a signal period of the ultrasonic signal; The ultrasonic signal in each signal period is analyzed respectively to obtain the distortion degree of the ultrasonic signal in different signal periods.

3. The intelligent detection method for concrete damage of photovoltaic micropile foundation according to claim 2 is characterized in that: The ultrasonic signal in each signal period is analyzed respectively to obtain the degree of distortion of the ultrasonic signal in different signal periods, specifically including: Calculating the half-cycle signal symmetry of the ultrasonic signal within a signal cycle; Calculating the range of the amplitude fluctuation of the ultrasonic signal within the signal period; The degree of distortion of the ultrasonic signal within the signal period is calculated according to the symmetry of the half-period signal and the extreme difference of the amplitude fluctuation, so as to obtain the degree of distortion of the ultrasonic signal within all signal periods.

4. The intelligent detection method for concrete damage of photovoltaic micropile foundation according to claim 3 is characterized in that: An ultrasonic signal within one signal cycle includes multiple data points; The calculating of the half-cycle signal symmetry of the ultrasonic signal within a signal cycle specifically includes: Obtaining the amplitude of all data points within the signal period; The half-period signal symmetry is calculated based on the amplitudes of all the data points.

5. The intelligent detection method for concrete damage of photovoltaic micropile foundation according to claim 4 is characterized in that: One data point includes multiple sub-signals; Analyzing the possibility of multipath effect of the ultrasonic signal in combination with the distortion degree of the ultrasonic signal specifically includes: Acquire the amplitude and frequency of ultrasound emitted by the ultrasonic transmitter; For a data point, the total number of sub-signals corresponding to the data point is obtained respectively; Acquire a direct wave signal from the sub-signals, wherein the direct wave signal is a signal with the shortest propagation time from among the sub-signals; Analyze the initial multipath effect possibility of the ultrasonic signal of the data point according to the amplitude and frequency of the ultrasonic transmitter transmitting the ultrasound, the total number of the sub-signals, and the direct wave signal; The multipath effect possibility of the ultrasonic signal of the data point is obtained by combining the initial multipath effect possibility and the distortion degree of the ultrasonic signal.

6. The intelligent detection method for concrete damage of photovoltaic micropile foundation according to claim 5 is characterized in that: After analyzing the possibility of multipath effect of the ultrasonic signal in combination with the degree of distortion of the ultrasonic signal, and before enhancing the amplitude based on the possibility of multipath effect to obtain the enhanced gain, the method further includes: The multipath effect possibility is corrected to obtain a corrected multipath effect possibility.

7. The intelligent detection method for concrete damage of photovoltaic micropile foundation according to claim 6 is characterized in that: The correcting the multipath effect possibility to obtain the corrected multipath effect possibility specifically includes: Obtaining, from a data point, other sub-signals that belong to the same transmission signal as the i-th sub-signal of the data point, where i=1, 2, ..., n, and n is the total number of sub-signals contained in a data point; Acquire the propagation time of the other sub-signals, where there are multiple other sub-signals and the propagation time is multiple; calculating a variance of the propagation time; Calculating an adjustment coefficient for the possibility of the multipath effect according to the variance of the propagation time; The multipath effect possibility is corrected according to the adjustment coefficient to obtain a corrected multipath effect possibility.

8. The intelligent detection method for concrete damage of photovoltaic micropile foundation according to claim 6 or 7, characterized in that: The enhancing process of the amplitude based on the possibility of the multipath effect to obtain the enhanced gain specifically includes: The amplitude is enhanced based on the corrected multipath effect possibility to obtain an enhanced gain.

9. The intelligent detection method for concrete damage of photovoltaic micropile foundation according to claim 8, characterized in that: The enhancing process of the amplitude based on the possibility of the multipath effect to obtain the enhanced gain specifically includes: Normalize the corrected multipath signal likelihood for all data points; The amplitude of the ultrasonic signal is enhanced by utilizing the normalized multipath signal probability to obtain an enhanced amplitude.

10. The intelligent detection method for concrete damage of photovoltaic micropile foundation according to claim 1, characterized in that: Before analyzing the ultrasonic signal to obtain the amplitude of the ultrasonic signal, the method further includes: The ultrasound signal is filtered.

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