Concrete Vibration Process Inspection System

Abstract

The present invention discloses a concrete vibration process inspection system, which relates to the technical field of concrete vibration. It solves the problem that no specific analysis and processing method is adopted to limit and adjust the oscillation frequencies of vibrators in different regions. By monitoring the sound waves during the concrete vibration process, and based on the monitored sound wave data, a surface model corresponding to the concrete is generated. Then, through the depression analysis of the surface model, the solidification states of different regions of the corresponding concrete are identified and confirmed. Based on the specific depth and specific diffusion situation of the corresponding depression areas, the correlation states of different regions in the concrete are comprehensively evaluated. The evaluation method is more accurate, and the generated evaluation effect is better, achieving a more accurate evaluation and recognition effect. By changing the vibration speeds of different regions, the entire concrete can achieve a better vibration treatment effect during vibration, and the overall uniform effect during the concrete vibration process is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of concrete vibration, and particularly to a concrete vibration process inspection system. Background Art

[0002] Concrete vibration is a key link in the concrete construction process. Its purpose is to make the concrete dense, remove the air and excess moisture in it, and ensure the quality and performance of the concrete. During the concrete pouring process, there will be many voids. Through vibration, the concrete particles can be made to approach each other and fill these voids; this can improve the strength and durability of the concrete.

[0003] The application with the publication number CN114837421A discloses an intelligent control system for concrete vibration, which relates to the technical field of concrete vibration control systems. It includes a rotary vane level switch, a programmable logic controller, a limit switch, a contactor, a vibrating rod, a hydraulic station, a winch, an operation panel and a camera. The rotary vane level switch is fixedly installed on the vibrating device, and the rotary vane level switch is connected to the programmable logic controller through a communication cable. In the present invention, the programmable logic controller controls the contactor to control the operation of the vibrating rod to vibrate the concrete densely. The programmable logic controller controls the contactor to control the operation of the hydraulic station to lift the feed hopper. The programmable logic controller controls the contactor to control the operation of the winch to lift the vibrating device. The camera is fixed on the vibrating platform and is connected to the operation panel through a communication line to display the actual situation of concrete pouring in real time, bringing a better application prospect.

[0004] During the vibration of the concrete, generally corresponding inspection instruments are required to conduct relevant inspections on the overall quality after vibration. However, in the actual vibration process, no associated inspection treatment is carried out. For large-volume concrete, a vibration method with a specific frequency is used for vibration treatment, which will cause some areas to become too loose and some solidified areas to become relatively loose, resulting in inconsistent strengths at different points inside the entire concrete. For such situations, no specific analysis and treatment method is adopted to limit and adjust the oscillation frequencies of the vibrators in different areas to ensure the uniform effect during the entire concrete vibration process. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides a concrete vibration process inspection system, which solves the problem of not adopting a specific analysis and treatment method to limit and adjust the oscillation frequencies of the vibrators in different areas.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A concrete vibration process inspection system, including:

[0007] The acoustic wave data processing terminal receives the acoustic wave data generated by the acoustic wave detection device, and based on the received acoustic wave data, generates a corresponding relevant model surface of the concrete surface by itself;

[0008] The sunken area analysis terminal, based on the generated relevant model surface of the concrete surface, conducts a correlation analysis on the sunken area existing in this relevant model surface, first determines the depth of the corresponding sunken area, then locks the correlation eigenvalue of the corresponding relevant model surface based on the inner circle change trend of the sunken area, and confirms each of the several correlation eigenvalues associated with a circular cycle of the vibrating rod one by one and generates a correlation eigenvalue sequence. The specific method is as follows:

[0009] Based on the confirmed relevant model surface, a group of horizontal base surfaces are generated above the relevant model surface. The horizontal base surface is a flat surface and is parallel to the horizontal plane. The vertical distance L between the internal points in the relevant model surface and the horizontal base surface is identified in sequence i , where i represents different internal points, and L i The internal point associated with max is marked as the sunken point, and the vertical distance L i max associated with the sunken point is recorded;

[0010] Based on the determined sunken point, a perpendicular line perpendicular to the horizontal base surface and passing through this sunken point is constructed, and the associated points are confirmed upward from the sunken point. The associated points are located on the perpendicular line, and the distance between adjacent associated points is L1, where L1 is a preset value, and the sunken point is the first group of associated points;

[0011] Based on the determined several associated points, an associated base surface parallel to the horizontal base surface and including the corresponding associated points is constructed, and the intersection segment between the associated base surface and the relevant model surface is marked as the characteristic circle segment, and the total line segment length C of the characteristic circle segment is determined k , where k represents different characteristic circle segments;

[0012] Starting from the position of the sunken point, the associated points are confirmed upward in sequence, and the C k of the characteristic circle segment confirmed by the associated points is k sorted to confirm the C

[0013] sequence; m Suppose k = 1, 2,..., m, and use: Bz = (C2 - C1) + (C3 - C2) +... + (C m-1 - C i ) to determine the sum Bz of the differences in the line segment lengths of adjacent characteristic circle segments;

[0014] Use Tz = Bz ÷ L

[0015] max to determine the correlation eigenvalue Tz of this relevant model surface;The time period for the vibrating rod to complete a circular movement is calibrated as the circular ring period. All the several related model surfaces generated within this circular ring period are processed, and the associated eigenvalue Tz related to the corresponding related model surface is confirmed in sequence. Moreover, the horizontal base surface positions corresponding to each related model surface are the same. According to the chronological relationship of the generation times of the associated eigenvalue Tz, several Tz are sorted to confirm the associated eigenvalue sequence, and different associated eigenvalues within the associated eigenvalue sequence correspond to different data acquisition points;

[0016] The inspection center conducts inspection and analysis on the confirmed associated eigenvalue sequence to confirm whether the concrete solidification states in each different area are consistent. Based on the confirmation result, it is determined whether it is necessary to adjust the vibrating speed of different areas. The specific method is as follows:

[0017] Based on the confirmed associated eigenvalue sequence, variance processing is performed on several groups of associated eigenvalues determined within this sequence to determine the corresponding variance value F;

[0018] The determined variance value F is compared with the preset value Y1: If F > Y1, speed adjustment processing is required, and the eigenvalue processing end is executed, where Y1 is the preset value. If F ≤ Y1, it means that the concrete solidification states in each different area are relatively consistent, and no speed adjustment processing is required;

[0019] The eigenvalue processing end locks the associated mean value from the confirmed associated eigenvalue sequence, and then based on the confirmed associated mean value and the working vibrating speed of this vibrating rod, the vibrating speed of the characteristic areas associated with different associated eigenvalues within the associated eigenvalue sequence is confirmed. The specific method is as follows:

[0020] Mean value processing is performed on several groups of associated eigenvalues included in the associated eigenvalue sequence to confirm the associated mean value JJ, and the working vibrating speed of the vibrating rod corresponding to the circular ring period is calibrated as ZZ, where ZZ is the corresponding vibrating speed set when the vibrating rod is working;

[0021] The different associated eigenvalues within the associated eigenvalue sequence are calibrated as Tz q , where q represents different data acquisition points, and the formula is: (JJ - TZ q ) × C1 + ZZ = DZ q Determine the vibrating speed DZ to be adjusted associated with the corresponding data acquisition point q , where C1 is a preset fixed coefficient factor;

[0022] The associated speed regulation end, based on the different vibrating speeds DZ to be adjusted corresponding to different associated eigenvalues q , during the subsequent vibrating process, when the vibrating rod reaches the specified data acquisition point, directly based on the determined DZ q Adjust the vibrating speed of the vibrating rod.

[0023] Preferably, the acoustic wave detection device is arranged above the concrete. When its vibrating rod moves in a circular motion, corresponding data acquisition points are preset in advance. When the vibrating rod moves to the data acquisition point, the acoustic wave detection device acquires the data on the concrete surface and confirms the corresponding acoustic wave data.

[0024] The present invention provides a concrete vibration process inspection system. Compared with the prior art, it has the following beneficial effects:

[0025] The present invention monitors the acoustic waves during the vibration process of the concrete, generates a surface model corresponding to the concrete based on the monitored acoustic wave data, and then analyzes the depressions of the surface model to identify and confirm the solidification states of different regions of the corresponding concrete. Based on the specific depth and specific diffusion of the corresponding depression areas, the correlation states of different regions inside the concrete are comprehensively evaluated. The evaluation method is more accurate, the evaluation effect is better, and a more accurate evaluation and identification effect can be achieved;

[0026] Then, a comprehensive inspection is carried out to evaluate the comprehensive dispersion of the characteristic values associated with different regions, identify the comprehensive state inside the concrete, and based on the evaluation results, change the vibration speeds of different regions, so that the entire concrete can achieve a better vibration treatment effect during vibration, and ensure the overall evenness effect during the vibration process of the concrete. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the principle framework of the present invention;

[0028] Figure 2 It is a schematic diagram of the treatment of the concave region of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0030] The First Embodiment

[0031] Please refer to Figure 1, this application provides a concrete vibration process inspection system, including an acoustic wave data processing end, a sunken area analysis end, an inspection center, an eigenvalue processing end, and an associated rate regulation end. Among them, the output node of the acoustic wave data processing end is electrically connected to the input node of the sunken area analysis end, and the sunken area analysis end is electrically connected to the input node of the inspection center or the eigenvalue processing end respectively, and the inspection center is electrically connected to the input node of the eigenvalue processing end, and the eigenvalue processing end is electrically connected to the input node of the associated rate regulation end;

[0032] Its acoustic wave data processing end receives the acoustic wave data generated by the acoustic wave detection device, and based on the received acoustic wave data, generates a relevant model surface corresponding to the concrete surface by itself. The acoustic wave detection device is arranged above the concrete. When the vibrating rod makes a circular movement, corresponding data acquisition points are preset in advance. When the vibrating rod moves to the data acquisition point, the acoustic wave detection device acquires the data on the concrete surface and confirms the corresponding acoustic wave data. During the vibration process, the vibrating rod makes a circular movement in the corresponding concrete storage bucket and rotates synchronously while moving. In order to identify the mixing effect of the concrete, comprehensive inspection is carried out based on the acoustic wave data during the acoustic wave detection process. The specific method for generating the relevant model surface of the concrete surface is as follows:

[0033] According to the propagation characteristics of acoustic waves, the received acoustic wave data (such as time, frequency, amplitude, etc.) is converted into spatial coordinate information; assuming that the position of the acoustic wave detection device is fixed and known, using the propagation speed of acoustic waves (the acoustic wave speed in concrete is generally constant, such as the longitudinal wave speed is about 3000 - 4000 m / s) and the propagation time, the distance from the acoustic wave reflection point (i.e., the concrete surface point) to the detection device can be calculated. Through the detection data in multiple different directions, a series of three-dimensional spatial coordinates of the concrete surface points can be obtained;

[0034] Using the obtained three-dimensional spatial coordinate points, a suitable surface fitting algorithm is used to generate the model surface of the concrete surface; for example, the least squares method can be used for surface fitting. If the spatial coordinate points are represented as (X i , Y i , Z i ), i = 1, 2,..., n, a suitable function Z = f(X, Y) is found through the least squares method, so that the sum of the squares of the distances from all points (X i , Y i , Z i ) to the surface is minimized.

[0035] Based on the generated relevant model surface of the concrete surface, Gaussian filtering is used to perform noise smoothing processing on it, improving the surface accuracy of the relevant model surface. According to the actual engineering requirements, the details of the model surface are supplemented. For example, if it is known that there may be some regular textures or tiny concave-convex structures on the concrete surface, according to the empirical data and additional constraint conditions, corresponding details are added to the model surface to make the generated model surface more in line with the actual concrete surface situation;

[0036] Since the method of generating the corresponding model surface of the concrete surface based on acoustic wave data is relatively common in the prior art, it will not be elaborated here;

[0037] At its depression area analysis end, based on the generated relevant model surface of the concrete surface, the depression area existing in this relevant model surface is analyzed (the depression area is caused by the oscillation process of the corresponding vibrating rod and belongs to a vortex state). First, the depth of the corresponding depression area is determined, and then based on the inner circle change trend of the depression area, the associated eigenvalue of the corresponding relevant model surface is locked. And for the several associated eigenvalues associated with a circular cycle completed by the vibrating rod, they are confirmed one by one and an associated eigenvalue sequence is generated. The specific method for analyzing the depression area is as follows:

[0038] Based on the confirmed relevant model surface, a group of horizontal base surfaces are generated above the relevant model surface. The horizontal base surface is a flat surface and parallel to the horizontal plane. The vertical distance L between the internal points in the relevant model surface and the horizontal base surface is identified in sequence i , where i represents different internal points, and L i The internal point associated with max is marked as the depression point, and the vertical distance L i max associated with the depression point is recorded;

[0039] Based on the determined depression point, a perpendicular line perpendicular to the horizontal base surface and passing through this depression point is constructed. Starting from the depression point, the associated points are confirmed upward. The associated points are located on the perpendicular line, and the distance between adjacent associated points is L1, where L1 is a preset value determined by the operator according to experience. The depression point is the first group of associated points;

[0040] Based on the determined several associated points, an associated base surface parallel to the horizontal base surface and including the corresponding associated points is constructed (that is, the associated base surface is parallel to the horizontal base surface, and at the same time, for each different associated point, a group of associated base surfaces will be confirmed, and the associated points are located within the corresponding associated base surface). The intersection segment between the associated base surface and the relevant model surface is marked as the characteristic circle segment, and the total line segment length C of the characteristic circle segment is determined k , where k represents different characteristic circle segments;

[0041] Starting from the location of the depression point, sequentially confirm the associated points upward, and for the C of the characteristic circle segments confirmed by the associated points k perform sorting to confirm C k sequence;

[0042] Propose k = 1, 2,..., m, and use: Bz = (C2 - C1) + (C3 - C2) +... + (C m - C m-1 ) to determine the sum Bz of the length differences of adjacent characteristic circle segment lines. As Figure 2 shown, based on the determined concave point, due to the influence of the corresponding vibrating rod entity, the depression points generated are generally located at a certain point around the vibrating rod. After the depression points are specifically confirmed, based on this concave point, the perpendicular line is specifically confirmed. Subsequently, other associated points related to this depression point are all confirmed on the perpendicular line. Thus, the corresponding associated points can be sequentially selected upward from below, and the associated points can be used to construct relevant parallel planes, thereby determining the associated base planes belonging to the associated points. The associated base planes are parallel to the corresponding horizontal base planes. When the associated base planes of each associated point are confirmed, since the associated base planes intersect with the relevant model surfaces, based on the specific positions of the determined associated base planes, the intersection segments between the associated base planes and the relevant model surfaces can be locked. It can also be understood that starting from the depression point, the built-in circles in this concave region are sequentially confirmed upward, and the corresponding characteristic circle segments can be confirmed. If the characteristic circle segments spread relatively wide from bottom to top, then the generated line segment differences will be relatively large, and the concrete associated with such regions is in a relatively loose state. When the characteristic circle segments generated by the concrete do not spread widely and are in a relatively concentrated state, it means it is too dense;

[0043] Use Tz = Bz ÷ L i max to determine the associated characteristic value Tz for this relevant model surface;

[0044] Calibrate the time period for the vibrating rod to complete one circular movement as the circular period (that is, move back to the corresponding coincidence position). Process several relevant model surfaces generated within this circular period, sequentially confirm the associated characteristic values Tz related to the corresponding relevant model surfaces, and the positions of the horizontal base planes corresponding to each relevant model surface are the same. According to the front-back relationship of the generation times of the associated characteristic values Tz, sort several Tz to confirm the associated characteristic value sequence, and different associated characteristic values within the associated characteristic value sequence correspond to different data acquisition points.

[0045] Second Embodiment

[0046] Among them, the inspection center conducts inspection and analysis on the confirmed associated eigenvalue sequence to confirm whether the concrete solidification states in each different area are consistent. Based on the confirmation results, it determines whether it is necessary to adjust the vibration speed in different areas. The specific method for confirmation is as follows:

[0047] Based on the confirmed associated eigenvalue sequence, perform variance processing on several groups of associated eigenvalues determined within this sequence to determine the corresponding variance value F. Assume the associated eigenvalue sequence is {Tz1, Tz2, ……, Tzn}. First, determine the mean value Jz of this sequence, and then use to confirm its variance value F;

[0048] Compare the determined variance value F with the preset value Y1: If F ≤ Y1, it means that the concrete solidification states in each different area are relatively consistent and no speed adjustment is required. If F > Y1, where Y1 is the preset value and its specific value is determined by the operator according to experience, then speed adjustment is required and the eigenvalue processing end is executed.

[0049] Among them, the eigenvalue processing end locks the associated mean value from the confirmed associated eigenvalue sequence, and then based on the confirmed associated mean value and the working vibration speed of this vibrator, confirms the vibration speed of the characteristic areas associated with different associated eigenvalues within the associated eigenvalue sequence, and transmits the confirmed vibration speed to the associated speed regulation end. Among them, the specific method for changing the vibration speed is as follows:

[0050] Perform mean value processing on several groups of associated eigenvalues included in the associated eigenvalue sequence to confirm the associated mean value JJ, and calibrate the working vibration speed of the corresponding circular ring period vibrator as ZZ, where ZZ is the corresponding vibration speed set when the vibrator is working;

[0051] Calibrate the different associated eigenvalues within the associated eigenvalue sequence as Tz q , where q represents different data acquisition points, and use: (JJ - TZ q ) × C1 + ZZ = DZ q to determine the vibration speed DZ to be adjusted associated with the corresponding data acquisition point q , where C1 is a preset fixed coefficient factor and its specific value is determined by the operator according to experience. Here, if TZ q is smaller than JJ, it means that the concrete in this area is relatively solidified, so the associated vibration speed DZ needs to be larger than ZZ to achieve the equalization effect. Similarly, if TZ q is larger than JJ, it means that the concrete in this area is relatively loose, so the associated vibration speed DZ needs to be smaller than ZZ to achieve the equalization effect. During the subsequent vibration process, based on the corresponding inspection results, change the vibration speed to ensure the overall equalization effect of the corresponding concrete during the vibration process;

[0052] Its associated speed regulation end, based on different vibration speeds to be adjusted DZ corresponding to different associated eigenvalue q , during the subsequent vibration process, when the vibrating rod reaches the specified data acquisition point, directly based on the determined DZ q Adjust the vibration speed of the vibrating rod to change the vibration speed of the vibrating rod, so that the vibration process of the entire concrete is better and a better vibration treatment effect can be achieved.

[0053] The third embodiment

[0054] In the specific implementation process of this embodiment, it includes all the implementation processes of the above two groups of embodiments.

[0055] Some of the data in the above formula are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0056] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. Concrete vibration process inspection system, characterized in that, Including: An acoustic wave detection device for acquiring data on the concrete surface; An acoustic wave data processing terminal for receiving the acoustic wave data generated by the acoustic wave detection device, converting the received acoustic wave data into spatial coordinate information, and using the obtained three-dimensional spatial coordinates to automatically generate a relevant model surface corresponding to the concrete surface; A sunken area analysis terminal for performing correlation analysis on the sunken areas existing on the relevant model surface of the concrete surface based on the generated relevant model surface of the concrete surface, preferentially determining the depth of the corresponding sunken area, then locking the correlation eigenvalue of the corresponding relevant model surface based on the inner circle change trend of the sunken area, and confirming each of the several correlation eigenvalues associated with a circular ring period completed by the vibrating rod one by one to generate a correlation eigenvalue sequence. The specific method is as follows: Based on the identified relevant model surfaces, generate a set of horizontal base surfaces above the relevant model surfaces. The horizontal base surfaces are flat surfaces and parallel to the horizontal plane, and sequentially identify the vertical distance L between the internal points within the relevant model surfaces and the horizontal base surfaces i , where i represents different internal points, and for L i max, the associated internal points are calibrated as concave points, and record the vertical distance L i max associated with the concave points; Based on the determined sunken point, construct a perpendicular line perpendicular to the horizontal base plane and passing through this sunken point, and start from the sunken point to confirm the associated points upward. The associated points are located on the perpendicular line, and the distance between adjacent associated points is L1, where L1 is a preset value, and the sunken point is the first group of associated points; Based on a number of determined associated points, construct an associated base plane parallel to the horizontal base plane and including the corresponding associated points, label the intersection segment between the associated base plane and the relevant model plane as a characteristic circle segment, and determine the total line segment length C of the characteristic circle segment k , where k represents different characteristic circle segments; Starting from the location of the depression point, sequentially confirm the associated points upward, and for the C of the characteristic circle segments confirmed by the associated points k perform sorting and confirm C k sequence; Assume k = 1, 2, ……, m, and adopt: Bz = (C2 - C1) + (C3 - C2) + …… + (C m - C m-1 ) to determine the sum Bz of the length differences of adjacent characteristic circular segment line segments; Adopt Tz = Bz ÷ L i max determines the associated eigenvalue Tz for the relevant model surface An inspection center for performing inspection analysis on the confirmed correlation eigenvalue sequence, confirming whether the concrete solidification states in each different area are consistent, and based on the confirmation result, determining whether it is necessary to adjust the vibrating speed of different areas; An eigenvalue processing terminal for locking the correlation mean value from the confirmed correlation eigenvalue sequence, and then based on the confirmed correlation mean value and the working vibrating speed of this vibrating rod, confirming the vibrating speed of the characteristic areas associated with different correlation eigenvalues in the correlation eigenvalue sequence.

2. The concrete vibration process inspection system according to claim 1, characterized in that The acoustic wave detection device is arranged above the concrete. When its vibrating rod moves in a circular motion, corresponding data acquisition points are preset in advance. When the oscillating rod moves to the data acquisition point, its acoustic wave detection device acquires data on the concrete surface and confirms the corresponding acoustic wave data.

3. The concrete vibration process inspection system according to claim 2, characterized in that, The specific method for the sunken area analysis terminal to confirm the correlation eigenvalue sequence is as follows: Calibrate the time period for the vibrating rod to complete a circular movement as the circular ring period, process the several relevant model surfaces generated within this circular ring period in sequence, and sequentially confirm the correlation eigenvalue Tz associated with the corresponding relevant model surface. Moreover, the horizontal base plane positions corresponding to each relevant model surface are the same. According to the front-back relationship of the generation time of the correlation eigenvalue Tz, sort the several Tz to confirm the correlation eigenvalue sequence, and different correlation eigenvalues within the correlation eigenvalue sequence correspond to different data acquisition points.

4. The concrete vibration process inspection system according to claim 2, characterized in that, The specific method for the inspection center to confirm whether the concrete solidification states in each different area are consistent is as follows: Based on the confirmed correlation eigenvalue sequence, perform variance processing on the several groups of correlation eigenvalues determined within this sequence to determine the corresponding variance value F; Compare the determined variance value F with the preset value Y1: If F > Y1, speed adjustment processing is required, and the eigenvalue processing terminal is executed, where Y1 is a preset value.

5. The concrete vibration process inspection system according to claim 4, wherein, If F ≤ Y1, it means that the concrete solidification states in each different area are relatively consistent, and no speed adjustment processing is required.

6. The concrete vibration process inspection system according to claim 4, characterized in that The specific method for the eigenvalue processing terminal to perform vibrating speed confirmation is as follows: Perform mean processing on several groups of associated eigenvalue sequences included in the associated eigenvalue sequence, confirm the associated mean value JJ, and calibrate the working vibration speed of the corresponding circular ring period vibrating rod as ZZ, where ZZ is the corresponding vibration speed set for the vibrating rod during operation; Calibrate different associated eigenvalue in the associated eigenvalue sequence as Tz q , where q represents different data acquisition points, and use: (JJ - TZ q ) × C1 + ZZ = DZ q Determine the to-be-adjusted vibration velocity DZ associated with the corresponding data acquisition point q , where C1 is a preset fixed coefficient factor.

7. The concrete vibration process inspection system according to claim 6, wherein It further includes an associated speed regulation terminal, and based on different to-be-adjusted vibration speeds DZ corresponding to different associated characteristic values q , during the subsequent vibrating process, when the vibrating rod reaches the specified data acquisition point, directly adjust the vibration speed of the vibrating rod based on the determined DZ q to adjust the vibration speed of the vibrating rod.

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