Reinforcing steel bar effective prestress and grouting acoustic detection method, device, system and equipment and storage medium

Abstract

The invention discloses a reinforcing steel bar effective prestress and grouting acoustic detection method, device, system and equipment, and a storage medium, and the method comprises the following steps: obtaining a reference audio signal generated by excitation of a reinforcing steel bar in different tensioning and grouting states, carrying out the fragment segmentation and Fourier transform of the reference audio signal, and calculating the vibration frequency characteristics; obtaining reference vibration frequency characteristics of the reinforcing steel bars in different tensioning and grouting states; acquiring a detection audio signal generated by exciting the to-be-detected reinforcing steel bar, and sequentially performing fragment segmentation, Fourier transform and vibration frequency characteristic calculation on the detection audio signal to obtain to-be-detected vibration frequency characteristics of the to-be-detected reinforcing steel bar; and comparing the to-be-detected vibration frequency characteristics with the reference vibration frequency characteristics, and judging the tensioning and grouting states of the to-be-detected reinforcing steel bar. The tensioning and grouting states of the vertical prestressed reinforcement can be qualitatively judged on site, and the judgment result is not influenced by the external environment.

Description

Technical Field

[0001] The present invention belongs to the field of bridge engineering and relates to a method, device, system, equipment and storage medium for acoustic detection of effective prestress and grouting of steel bars. Background Art

[0002] The continuous rigid frame bridge is a common bridge type. Since the span of the bridge is usually large, the tensioning and grouting of vertical, horizontal and longitudinal prestresses are involved. Among them, the vertical prestress is the key to the bridge's resistance to shear force. If the vertical prestress is insufficiently tensioned, diagonal cracks may occur in the web of the rigid frame bridge under the action of load. Since a large number of vertical prestressing tendons need to be tensioned in the rigid frame bridge, and in order to prevent excessive prestress loss after one-time tensioning, two-time tensioning is often required. In the actual investigation of some bridges, there are often situations where the permanent prestress of the vertical prestressing tendons is not in place, and even after the construction is completed, there is no prestress in some prestressing tendons.

[0003] The existing prestress detection methods mainly include the ultrasonic method and the vibration method.

[0004] The Chinese patent application with the authorization announcement number "CN102636307A" discloses a device and method for testing the effective stress level of vertical prestressing steel bars 6. It uses the ultrasonic method, which is based on the principle that the physical properties of the steel bars change after tensioning and the transmission speed of ultrasonic waves in the steel bars changes. The prestress is inferred by measuring the transmission speed of ultrasonic waves in the steel bars. This method mainly uses an ultrasonic wave generating device to establish a relationship curve between the ultrasonic wave speed and the steel bar stress. The equipment operation is relatively complex, and at the same time, the transmission speed of ultrasonic waves is greatly affected by the external temperature and the steel bar temperature, so the detection accuracy is low.

[0005] The Chinese patent application with the authorization announcement number "CN101419104A" discloses a detection system for the tension of vertical prestressing tendons in the web of a concrete box girder bridge. It uses the vibration method, which is based on the principle that the vibration mode and frequency of the steel bars change after tensioning. A certain excitation is applied to the steel bars, a motion sensor is installed on the steel bars to receive the vibration response of the steel bars, and a relationship between the frequency and the force is established to infer the force on the steel bars. This method mainly uses a motion sensor to collect the vibration of the structure. Sensors need to be installed, which is not suitable for a large number of detections and has the disadvantages of low efficiency and complex operation. Summary of the Invention

[0006] The object of the present invention is to overcome the above-mentioned disadvantages of the prior art, and to provide a method, device, system, equipment and storage medium for acoustic detection of the effective prestress and grouting of steel bars. Without installing sensors and using ultrasonic transmitters, it is possible to qualitatively judge the tensioning and grouting states of the vertical prestressed steel bars 6 on site, and the judgment results are not affected by the external environment, reducing the detection threshold and facilitating technicians to quickly master the on-site construction quality of vertical prestress.

[0007] To achieve the above object, the present invention adopts the following technical solutions: An acoustic detection method for the effective prestress and grouting of steel bars, comprising the following processes: Obtain the reference audio signals generated when the steel bars are excited under different tensioning and grouting states, and successively perform segment division, Fourier transform and calculation of vibration frequency characteristics on the reference audio signals to obtain the reference vibration frequency characteristics of the steel bars under different tensioning and grouting states; Obtain the detection audio signals generated when the steel bars to be detected are excited, and successively perform segment division, Fourier transform and calculation of vibration frequency characteristics on the detection audio signals to obtain the vibration frequency characteristics to be detected of the steel bars to be detected; Compare the vibration frequency characteristics to be detected with the reference vibration frequency characteristics to judge the tensioning and grouting states of the steel bars to be detected.

[0008] Preferably, the segment division processes of the reference audio signals and the detection audio signals are both: calculate the root mean square value of each frame of the audio signal respectively, obtain the time interval where the root mean square value is less than the set threshold, use the end point of this time interval as the segmentation node, and segment the audio signal.

[0009] Preferably, the Fourier transform processes of the reference audio signals and the detection audio signals are both: use the discrete Fourier transform to convert the segmented audio signal segments from the time domain to the frequency domain.

[0010] Preferably, the vibration frequency characteristic calculation processes of the reference audio signals and the detection audio signals are both: take the absolute value of the frequency of the audio signal, convert the frequency from the complex domain to the real domain; take half of the length of the frequency, and extract all the peaks and the corresponding index positions in the half-length frequency; take the index position of the maximum value among the peaks, calculate the main frequency of the audio signal, and calculate the standard deviation according to the main frequencies of all the sound segments to obtain the vibration frequency characteristics corresponding to the tensioning and grouting states respectively.

[0011] Preferably, the process of comparing the vibration frequency characteristics to be detected with the reference vibration frequency characteristics to judge the tensioning and grouting states of the steel bars to be detected is: calculate the statistical characteristics of the vibration frequency characteristics to be detected, and compare its statistical characteristics with the reference vibration frequency characteristics to judge the tensioning and grouting states of the steel bars to be detected.

[0012] Further, the process of calculating the statistical features of the vibration frequency characteristics to be detected and comparing the statistical features with the reference vibration frequency characteristics to determine the tensioning and grouting states of the steel bars to be detected is as follows: Determine the reference vibration frequency characteristic closest to the vibration frequency characteristic to be detected, and calculate the differences in the tensioning and grouting vibration frequency characteristics of both respectively; Determine whether the tensioning difference is positive or negative. If it is positive, it means that the tensile force is greater than the tensile force of the reference vibration frequency characteristic closest to it. If it is negative, it means that the tensile force is less than the tensile force of the reference vibration frequency characteristic closest to it, and output the tensile force result; Determine the grouting difference. If the grouting difference is less than the first set threshold, the steel bar pipe section to be detected is not grouted. If the grouting difference is greater than the second set threshold, the steel bar pipe section to be detected is grouted.

[0013] An acoustic detection device for the effective prestress and grouting of steel bars, comprising an excitation device and an acoustic wave analyzer; The excitation device includes a sound insulation rack. The bottom of the sound insulation rack is hollow. An acoustic wave collector is arranged on the inner side surface. An excitation hammer is rotatably connected to the inner top. A USB interface is arranged on the outer side surface. One end of the USB interface is connected to the output end of the acoustic wave collector; The acoustic wave analyzer is connected to the other end of the USB interface by a signal transmission line. A single-chip microcomputer is arranged inside the acoustic wave analyzer, and the single-chip microcomputer is used to implement the acoustic detection method for the effective prestress and grouting of the steel bars.

[0014] An acoustic detection system for the effective prestress and grouting of steel bars, comprising: A reference vibration frequency characteristic calculation module, configured to obtain reference audio signals generated by exciting the steel bars in different tensioning and grouting states, and successively perform segment division, Fourier transform, and calculation of vibration frequency characteristics on the reference audio signals to obtain the reference vibration frequency characteristics of the steel bars in different tensioning and grouting states; A vibration frequency characteristic calculation module to be detected, configured to obtain a detection audio signal generated by exciting the steel bars to be detected, and successively perform segment division, Fourier transform, and calculation of vibration frequency characteristics on the detection audio signal to obtain the vibration frequency characteristics to be detected of the steel bars to be detected; A judgment module, configured to compare the vibration frequency characteristics to be detected with the reference vibration frequency characteristics to judge the tensioning and grouting states of the steel bars to be detected.

[0015] A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the acoustic detection method for the effective prestress and grouting of the steel bars are implemented.

[0016] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the acoustic detection method for the effective prestress and grouting of the steel bars are implemented.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The present invention directly receives the steel bar sound signal and immediately gives the tensioning and grouting states of the steel bar. It can directly judge the state of the prestressed tendon by applying excitation without damaging the concrete and without installing sensors, effectively avoiding problems such as "missing tensioning", "insufficient tensioning force", "missing grouting", and "insufficient grouting volume" of the vertical prestressed tendon, and providing an objective basis for the acceptance and quality determination of the vertical prestressed process in construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flowchart of the acoustic detection method for the effective prestress and grouting of the steel bar of the present invention; Figure 2 is a schematic structural diagram of the excitation device of the present invention; Figure 3 is a schematic structural diagram of the acoustic wave analyzer of the present invention; Figure 4 is a main program flowchart of the single-chip microcomputer built in the acoustic wave analyzer of the present invention.

[0019] Wherein: 1 - excitation hammer; 2 - rotating shaft; 3 - acoustic wave collector; 4 - sound insulation rack; 5 - USB interface; 6 - reference vertical prestressed steel bar; 7 - vertical prestressed steel bar to be detected; 8 - signal transmission line; 9 - acoustic wave analyzer; 10 - function key; 11 - display screen; 12 - switch key. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The following describes in detail the embodiments of the present invention. Examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions from beginning to end. The embodiments described below by referring to the drawings are exemplary and are only used to explain the present invention and should not be construed as a limitation of the present invention.

[0021] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of the said features. In the description of the present invention, "a plurality of" means two or more unless otherwise specifically defined.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs. The terms "mounted", "connected" and "coupled" should be construed broadly. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection, an electrical connection or a connection capable of mutual communication; it may be directly connected, or indirectly connected through an intermediate medium, and it may be the internal communication of two elements or the interaction relationship between two elements. The term "and / or" used herein includes any and all combinations of one or more of the related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The terms used in the description of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0023] In the present invention, unless otherwise clearly specified and defined, the first feature being "above" or "below" the second feature may include direct contact between the first and second features, or may include contact between the first and second features through additional features therebetween rather than direct contact. Moreover, the first feature being "above", "over" and "on" the second feature includes the first feature being directly above and obliquely above the second feature, or merely indicating that the first feature has a higher horizontal height than the second feature. The first feature being "under", "beneath" and "underneath" the second feature includes the first feature being directly below and obliquely below the second feature, or merely indicating that the first feature has a lower horizontal height than the second feature.

[0024] The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, the components and settings of specific examples are described below. Of course, they are only examples and are not intended to limit the present invention. In addition, the present invention may repeat reference numerals and / or reference letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed. In addition, the present invention provides examples of various specific processes and materials, but those of ordinary skill in the art can be aware of the application of other processes and / or the use of other materials.

[0025] Embodiment 1: As Figure 1 shown, this embodiment provides a method for acoustic detection of the effective prestress and grouting of steel bars, including the following processes: Step 1: During the construction of the vertical high-strength deformed steel bars of the rigid-frame bridge, there are mainly four benchmark states, namely, not tensioned and not grouted, tensioned 50% and not grouted, tensioned 100% and not grouted, and tensioned and grouted completed. Each state corresponds to a benchmark vibration frequency range. It is necessary to prepare the benchmark vertical prestressed steel bars 6 with the above four states under the witness of the inspectors.

[0026] Use an excitation device to strike the steel bars prepared for each steel bar benchmark state to make them vibrate freely, thereby generating sound waves. The generated sound waves are received by a sound wave collector. Analyze the steel bar benchmark state through the calibration mode of the sound wave analyzer 9 to obtain and store the benchmark sound wave frequency characteristics. The calibration mode of the sound wave analyzer 9 refers to first segmenting the incoming audio signal, performing Fourier transform, and calculating the vibration frequency characteristics in sequence to obtain multiple benchmark vibration frequency characteristics, associating and storing the benchmark vibration frequency characteristics with the steel bar benchmark state, and finally displaying the stored results on the display screen 11.

[0027] Step 2: Collect the audio signals of the vertical prestressed steel bars 7 to be detected in the same manner as in Step 1. The sound wave analyzer 9 sequentially segments, performs Fourier transform, and calculates the vibration frequency characteristics on the incoming audio signal to obtain the vibration frequency characteristics to be detected of the vertical prestressed steel bars 7 to be detected.

[0028] Step 3: Calculate the statistical characteristics of the vibration frequency to be detected, compare its statistical characteristics with the benchmark vibration frequency characteristics in the calibration mode, infer the state of the vertical prestressed steel bars 7 to be detected, and finally display the frequency statistical characteristics and the inferred state of the vertical prestressed steel bars 7 to be detected on the display screen 11.

[0029] In Step 2 and Step 3, the audio signals are sequentially segmented, Fourier-transformed, and the vibration frequency characteristics are calculated. The processing processes of the audio signals in the two steps are the same, specifically: Segmentation: (1) Calculate the root mean square (RMS) value of each frame of the audio signal. The RMS value can reflect the sound intensity of the audio signal. When processing the sound signal of continuous knocking on the steel bar x the number of frames with lower sound intensity can be used as the node for segmenting the sound generated by each knock.

[0030]

[0031] Among them, L is the number of samples of each frame of the audio signal, which can be taken as 1024; The n th sample value in the i th frame; (2) Obtain the time interval when the RMS is less than 0.04. When the RMS value is too small, background noise will cause the interval position of each knock on the steel bar to be unrecognizable. When the RMS value is too large, the interval position value will be inaccurate.

[0032]

[0033] (3) Take the end point of the time interval when the RMS is less than 0.04 as the segmentation node, and segment the audio signal to obtain the audio segments of each knock on the same steel bar, a total of M pieces, which is convenient for subsequent analysis of the sound frequency generated by the self-vibration of the steel bar.

[0034] Fourier transform: Using the discrete Fourier transform (DFT) can transform the m th segment of the audio signal from the time domain to the frequency domain for easy analysis of its frequency.

[0035]

[0036] Among them, N is the number of samples of the sound signal; i is the i th sample of the time domain signal; j is the imaginary number; k is is the index of the frequency sampling point; m is the segment number of the sound signal generated by each knock.

[0037] Calculate the vibration frequency characteristics: (1) Take the absolute value of the frequency of the m th audio signal X m to convert the frequency from the complex domain to the real domain; (2) Considering the symmetry of the frequency distribution, half of the length was taken for subsequent analysis; (3) Extract all peaks in the frequency P and the corresponding index position k . ; (4) Take the index position of the maximum value among the peaks , calculate the m The main frequency of the audio signal F m .

[0038]

[0039] in, is the index corresponding to the main frequency; sampleRate is the sampling rate of the sample; N m is the number of samples in the audio clip.

[0040] (5) Calculate the main frequency of the audio signals of all segments separately F m . According to the main frequency of all audio signals F m Calculate the mean and standard deviation.

[0041]

[0042] in, is the vibration frequency characteristic of the tension state (the average value of the main frequency of all segments continuously tapped can reduce the random error and reflect the main frequency of the steel bar), It is the vibration frequency characteristic of the grouting state (after grouting, the vibration of the steel bars is hindered by the cement slurry, resulting in the discreteness of the vibration frequency, which manifests as the divergence of sound).

[0043] The specific process of step 3 is: (1) The above-mentioned audio signal of the reference vertical prestressed steel bar 6 is collected and analyzed to obtain The first state, that is, no tensioning and no grouting:

[0044] The second state, that is, 50% tension and no grouting:

[0045] The third state, that is, 100% tensioning and no grouting:

[0046] The fourth state, that is, 100% tension, grouting:

[0047] (2) The above-mentioned sound signal collection and analysis is performed on the vertical prestressed steel bar 7 to be detected, and the following is obtained:

[0048] (3) Calculate the difference between the audio signals of the four types of reference steel bars and the The minimum value is taken as the reference state. Since the tension state of the steel bar is more closely related to its main sound frequency, if The value is small, If the value is larger, is the main distinguishing condition.

[0049]

[0050] (4) Output the judgment result of the vertical prestressed steel bar 7 to be tested according to the reference state.

[0051] judge The value of is positive or negative. If it is a positive value, it means that it is greater than the tension force closest to the reference state. If it is a negative value, it means that it is less than the tension force closest to the reference state. The tension force result is output.

[0052] When the steel bar to be tested is close to any of the first three reference states, the theoretical Close to 0. If it is too large, it means the main frequency of the sound is relatively discrete. (The upper limit here can be obtained by (1) the frequencies of the steel bars in the first three reference states. , , The additional output is “vertical prestressed pipe is partially blocked (grouted)”.

[0053] For example: The difference is the smallest, that is , it can be judged that the state of the steel bar to be tested is close to the second state "50% tensioning, no grouting".

[0054] Further judgment, when If it is a positive value, the output tension is greater than 50% and no grouting is performed; If it is a negative value, the output tension is less than 50% and no grouting is done.

[0055] In the first three steel bar reference states, the vertical prestressed pipe sections were not grouted, and theoretically the frequencies of the knocking sounds should not vary much. is close to 0, so when When , the program additionally outputs "Partial blockage of vertical prestressed pipe".

[0056] Embodiment 2: This embodiment provides a device for acoustically detecting effective prestressing and grouting of steel bars, including an excitation device and an acoustic wave analyzer 9 .

[0057] like Figure 2As shown, the excitation device includes an excitation hammer 1, a rotating shaft 2, a sound wave collector 3, a sound insulation frame 4, and a USB interface 5.

[0058] The bottom of the sound insulation frame 4 is hollow, which is used for the vertical prestressed steel bars to extend into the interior of the sound insulation frame 4. The excitation hammer 1 is a shock-proof hammer with a small self-vibration. When the hammer is struck on the vertical prestressed tendons, the vertical prestressed tendons are stimulated to produce a sound that meets the minimum sound pressure requirement of the test. Among them, the rotating shaft 2 is firmly connected to the hammer handle of the excitation hammer 1, the rotating shaft 2 is located at the top of the inner side of the sound insulation frame 4, and the two ends of the rotating shaft 2 are rotatably connected to the two inner walls of the sound insulation frame 4. The hammer head can move in a circle around the rotating shaft 2 and collide with the steel bar at the lowest point.

[0059] Among them, the sound wave collector is located on the inner wall of the sound insulation frame 4, and adopts a dual-channel microphone with a sampling frequency of 48khz to receive the sound signals generated by the vertical prestressed steel bars.

[0060] Among them, the USB interface 5 is located on the outer wall of the sound insulation frame 4, and is used to transmit the audio signal collected by the sound wave collector. One end of the USB interface 5 is connected to the output end of the sound wave collector 3.

[0061] like Figure 3 As shown, the sound wave analyzer 9 includes a switch button 12, a display screen 11, a function button 10, a signal transmission line 8 and a single chip microcomputer.

[0062] The sound wave analyzer 9 is connected to the other end of the USB interface 5 using a signal transmission line 8. The function button 10 is located on the sound wave analyzer 9, through which its function mode can be selected to adopt a calibration mode or a comparison mode, and the start recording time and the end recording time of the sound wave collector can be determined.

[0063] The single chip microcomputer is arranged inside the sound wave analyzer 9, and includes a sound wave analysis program. One port of the single chip microcomputer is connected to the signal transmission line 8 for recording the audio signal, and one port of the single chip microcomputer is connected to the display screen 11 for outputting the detection result.

[0064] like Figure 4 As shown, the single chip microcomputer is used to process audio signals and data comparison according to the acoustic detection method of effective prestressing and grouting of steel bars in Implementation 1.

[0065] Embodiment 3: This embodiment introduces the acoustic detection process of effective prestressing and grouting of steel bars in combination with the method of embodiment 1 and the device of embodiment 2.

[0066] Step 1: Sound correction of the reference vertical prestressed steel bar 6; s1: Preparation of reference vertical prestressed steel bar 6 At the rigid frame bridge site, prepare in advance four types of Φ35 steel bars in basic conditions: unstressed and ungrouted, 50% tensioned and ungrouted, 100% tensioned and ungrouted, and 100% tensioned and 100% grouted, one bar in each condition, and mark them.

[0067] s2: Frequency collection and analysis of reference vertical prestressed steel bars 6 like Figure 2 As shown, an excitation device is used to apply a point pulse load to each type of reference state steel bar, and a point pulse load is applied to the reference vertical prestressed steel bar 6 at a time interval of 1 second, and the reference vertical prestressed steel bar 6 is continuously struck 10 times to make the reference vertical prestressed steel bar 6 produce a free vibration sound. During the striking process, interference from external human voices and machine sounds should be avoided.

[0068] like Figure 3 As shown, the function button 10 is used to adjust the acoustic detection device for effective prestressing and grouting of vertical fine-rolled threaded steel bars of rigid frame bridges to the calibration mode, and the sound wave collector 3 is used to collect and record the audio signal of the free vibration of the reference vertical prestressed steel bar 6, and the function button 10 is used to determine the start and end recording time. After recording, the sound wave analyzer 9 automatically reads the audio signal of the reference vertical prestressed steel bar 6, analyzes and stores its frequency characteristics.

[0069] Step 2: Determine the tensioning and grouting status of the vertical prestressed steel bar 7 to be tested; s3: Sound collection of vertical prestressed steel bar 7 to be tested like Figure 2 As shown, an excitation hammer 1 is used to apply a point pulse load to the first vertical prestressed steel bar 7 to be tested. A point pulse load is applied to the vertical prestressed steel bar 7 to be tested at a time interval of 1 second, and the hammer is continuously struck 10 times, so that the vertical prestressed steel bar 7 to be tested produces a free vibration sound. During the striking process, interference from external human voices and machine sounds should be avoided. Use function button 10 to adjust the acoustic detection device for effective prestress and grouting of vertical fine-rolled threaded steel bars of rigid frame bridges to the comparison mode, use the sound wave collector 2 to collect and record the audio signal of the free vibration of the steel bar, and use function button 10 to determine the start and end recording times.

[0070] s4: Status analysis of vertical prestressed steel bar 7 to be tested like Figure 4 As shown, after recording, the sound wave analyzer automatically reads the audio signal of the vertical prestressed steel bar 7 to be detected, analyzes and stores its frequency characteristics, further compares the audio frequency characteristics of the vertical prestressed steel bar 7 to be detected with the frequency characteristics of the reference vertical prestressed steel bar 6, determines the construction status of the vertical prestressed steel bar 7 to be detected, and outputs the result on the display screen 11. For subsequent vertical prestressed steel bars 7 to be detected, the process of s3-s4 is repeated.

[0071] Embodiment 4: In the present embodiment, a steel bar effective prestressing and grouting acoustic detection system is provided, and the steel bar effective prestressing and grouting acoustic detection system can be used to implement the above-mentioned steel bar effective prestressing and grouting acoustic detection method. Specifically, the steel bar effective prestressing and grouting acoustic detection system includes a reference vibration frequency characteristic calculation module, a vibration frequency characteristic calculation module to be detected, and a judgment module.

[0072] Among them, the reference vibration frequency characteristic calculation module is used to obtain the reference audio signal generated by the steel bars being excited under different tensioning and grouting states. The reference audio signal is segmented, Fourier transformed and the vibration frequency characteristics are calculated in sequence to obtain the reference vibration frequency characteristics of the steel bars under different tensioning and grouting states.

[0073] The detection frequency characteristic calculation module is used to obtain the detection audio signal generated by the excitation of the steel bar to be detected, and the detection audio signal is successively subjected to segmentation, Fourier transformation and vibration frequency characteristic calculation to obtain the vibration frequency characteristic of the steel bar to be detected.

[0074] The judgment module is used to compare the vibration frequency characteristics to be detected with the reference vibration frequency characteristics to judge the tensioning and grouting status of the steel bar to be detected.

[0075] Embodiment 5: In this embodiment, a terminal device is provided, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGAs), or other processors. GateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, which are suitable for implementing one or more instructions, and are specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding functions; the processor described in the embodiment of the present invention can be used for the operation of the acoustic detection method for effective prestressing and grouting of steel bars, including: obtaining a reference audio signal generated by the steel bar being excited under different tensioning and grouting states, and subjecting the reference audio signal to segmentation, Fourier transformation and calculation of vibration frequency characteristics in turn to obtain the reference vibration frequency characteristics of the steel bar under different tensioning and grouting states; obtaining a detection audio signal generated by the steel bar to be detected being excited, and subjecting the detection audio signal to segmentation, Fourier transformation and calculation of vibration frequency characteristics in turn to obtain the vibration frequency characteristics of the steel bar to be detected; comparing the vibration frequency characteristics to be detected with the reference vibration frequency characteristics to determine the tensioning and grouting state of the steel bar to be detected.

[0076] Embodiment 6: In this embodiment, a computer-readable storage medium (Memory) is provided, and the computer-readable storage medium is a memory device in a terminal device for storing programs and data. It is understandable that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM, Read-Only Memory).

[0077] One or more instructions stored in a computer-readable storage medium can be loaded and executed by a processor to implement the corresponding steps of the acoustic detection method for effective prestressing and grouting of steel bars in the above-mentioned embodiment; one or more instructions in the computer-readable storage medium are loaded by the processor and the following steps are executed: obtaining a reference audio signal generated by the steel bars being excited under different tensioning and grouting states, subjecting the reference audio signal to segmentation, Fourier transformation and calculation of vibration frequency characteristics in turn, to obtain the reference vibration frequency characteristics of the steel bars under different tensioning and grouting states; obtaining a detection audio signal generated by the steel bars to be detected being excited, subjecting the detection audio signal to segmentation, Fourier transformation and calculation of vibration frequency characteristics in turn, to obtain the vibration frequency characteristics of the steel bars to be detected; comparing the vibration frequency characteristics to be detected with the reference vibration frequency characteristics to determine the tensioning and grouting states of the steel bars to be detected.

[0078] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, optical storage, etc.) containing computer-usable program codes.

[0079] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0080] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0081] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0082] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0083] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0084] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0085] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0086] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

[0087] It should be understood that the above description is for illustration and not for limitation. Many embodiments and many applications beyond the examples provided will be apparent to those skilled in the art upon reading the above description. Therefore, the scope of this patent should not be determined with reference to the above description, but rather with reference to the preceding claims and the full scope of equivalents to which such claims are entitled. For the purpose of comprehensiveness, all articles and references, including disclosures of patent applications and publications, are incorporated herein by reference. The omission of any aspect of the subject matter disclosed herein in the preceding claims is not intended to be a waiver of such subject matter, nor should it be considered that the applicant has not considered such subject matter to be part of the disclosed inventive subject matter.

Claims

1. A method for acoustic detection of effective prestressing and grouting of steel bars, characterized in that: The process includes: Obtain the reference audio signal generated by the steel bar being excited under different tensioning and grouting states, and sequentially perform segmentation, Fourier transformation, and calculation of vibration frequency characteristics on the reference audio signal to obtain the reference vibration frequency characteristics of the steel bar under different tensioning and grouting states; Acquire a detection audio signal generated by the excitation of the steel bar to be detected, and sequentially perform segmentation, Fourier transformation, and calculation of vibration frequency characteristics on the detection audio signal to obtain the vibration frequency characteristics of the steel bar to be detected; The vibration frequency characteristics to be tested are compared with the reference vibration frequency characteristics to determine the tensioning and grouting status of the steel bar to be tested.

2. The method for acoustic detection of effective prestressing and grouting of steel bars according to claim 1 is characterized in that: The segmentation process of the reference audio signal and the detection audio signal is: respectively calculating the root mean square value of each frame of the audio signal, obtaining the time interval in which the root mean square value is less than the set threshold, and using the end point of the time interval as the segmentation node to segment the audio signal.

3. The method for acoustic detection of effective prestressing and grouting of steel bars according to claim 1 is characterized in that: The Fourier transform process of the reference audio signal and the detection audio signal is: using discrete Fourier transform to convert the segmented audio signal segments from the time domain to the frequency domain.

4. The method for acoustic detection of effective prestressing and grouting of steel bars according to claim 1, characterized in that: The calculation process of the vibration frequency characteristics of the reference audio signal and the detection audio signal is: take the absolute value of the frequency of the audio signal and convert the frequency from the complex domain to the real domain; take half the length of the frequency and extract all the peaks and corresponding index positions in the frequency of half the length; take the index position of the maximum value in the peak value, calculate the main frequency of the audio signal, calculate the standard deviation based on the main frequency of all sound clips, and obtain the vibration frequency characteristics corresponding to the tensioning and grouting states respectively.

5. The method for acoustic detection of effective prestressing and grouting of steel bars according to claim 1, characterized in that: The process of comparing the vibration frequency characteristics to be detected with the reference vibration frequency characteristics to determine the tensioning and grouting status of the steel bars to be detected is as follows: calculating the statistical characteristics of the vibration frequency characteristics to be detected, and comparing the statistical characteristics with the reference vibration frequency characteristics to determine the tensioning and grouting status of the steel bars to be detected.

6. The method for acoustic detection of effective prestressing and grouting of steel bars according to claim 5, characterized in that: The statistical characteristics of the vibration frequency characteristics to be detected are calculated, and the statistical characteristics are compared with the reference vibration frequency characteristics to determine the tensioning and grouting status of the steel bar to be detected. The process is as follows: determine the reference vibration frequency characteristics that are closest to the vibration frequency characteristics to be detected, and calculate the difference between the tensioning and grouting vibration frequency characteristics of the two respectively; determine whether the tensioning difference is positive or negative. If it is a positive value, it represents a tensioning force greater than the closest reference vibration frequency characteristic. If it is a negative value, it represents a tensioning force less than the closest reference vibration frequency characteristic, and output the tensioning force result; determine the grouting difference. If the grouting difference is less than the first set threshold, the steel bar pipe section to be detected is not grouted. If the grouting difference is greater than the second set threshold, the steel bar pipe section to be detected is grouted.

7. A steel bar effective prestressing and grouting acoustic detection device, characterized in that: comprising an excitation device and an acoustic wave analyzer (9); The excitation device comprises a soundproof frame (4), the bottom of the soundproof frame (4) is hollow, a sound wave collector (3) is arranged on the inner side, an excitation hammer (1) is rotatably connected to the inner top, and a USB interface (5) is arranged on the outer side, and one end of the USB interface (5) is connected to the output end of the sound wave collector (3); The acoustic wave analyzer (9) is connected to the other end of the USB interface (5) via a signal transmission line (8), and a single-chip microcomputer is arranged inside the acoustic wave analyzer (9), and the single-chip microcomputer is used to implement the acoustic detection method for effective prestressing and grouting of steel bars as described in any one of claims 1 to 6.

8. A steel bar effective prestressing and grouting acoustic detection system, characterized in that: include: A reference vibration frequency characteristic calculation module is used to obtain reference audio signals generated by the steel bars being excited under different tensioning and grouting conditions, and to obtain reference vibration frequency characteristics of the steel bars under different tensioning and grouting conditions by segmenting, Fourier transforming and calculating vibration frequency characteristics of the reference audio signals in sequence; The vibration frequency characteristic calculation module to be detected is used to obtain the detection audio signal generated by the excitation of the steel bar to be detected, and sequentially perform segmentation, Fourier transformation and vibration frequency characteristic calculation on the detection audio signal to obtain the vibration frequency characteristic to be detected of the steel bar to be detected; The judgment module is used to compare the vibration frequency characteristics to be detected with the reference vibration frequency characteristics to judge the tensioning and grouting status of the steel bar to be detected.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for acoustically detecting effective prestressing and grouting of steel bars as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for acoustically detecting effective prestressing and grouting of steel bars as described in any one of claims 1 to 7 are implemented.

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