Pipe gallery concrete lining vibration quality monitoring method and system

Abstract

The invention discloses a pipe gallery concrete lining vibration quality monitoring method and system, and relates to the technical field of pipe gallery concrete lining construction monitoring, and the method comprises the steps: arranging a three-way vibration sensor network at a lining reinforcing mesh key node according to a pipe gallery structure cross-section diagram; acquiring original data of the three-way vibration sensor in real time, and preprocessing the original data to generate standardized vibration characteristic data; based on power spectrum density analysis, establishing a correlation model of the vibration characteristic data and vibration energy so as to calculate the vibration energy value of each area in the vibration process; according to a concrete mix proportion and a vibrator frequency parameter, establishing an association relationship among vibration energy, compactness and a bubble rate so as to calculate the compactness and the bubble rate; and comparing the calculated values of the compactness and the bubble rate with respective set reference values, triggering a dynamic regulation and control mechanism according to a comparison result, and generating a vibration quality report. And the efficiency and reliability of pipe gallery concrete construction are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of construction monitoring of pipe gallery concrete lining, and particularly to a method and system for monitoring the vibration quality of pipe gallery concrete lining. Background Art

[0002] The construction quality of pipe gallery concrete lining is directly related to the bearing capacity, durability and long-term stability of the pipe gallery structure. To ensure the quality of pipe gallery concrete lining, not only the formwork and reinforcement measures need to have sufficient bearing capacity, but also certain requirements are put forward for the concrete vibration effect.

[0003] At present, external vibrators are generally used for vibration operations at the construction site, and corresponding monitoring systems have been developed for the concrete vibration situation. However, there are still obvious deficiencies in the monitoring of vibration quality in the prior art: 1. Relying on manual experience and lacking quantitative indicators: The existing vibration quality evaluation mainly relies on the empirical judgment of construction personnel and lacks scientific and objective quantitative indicators, resulting in strong subjectivity and insufficient consistency of evaluation results, which are difficult to meet the requirements of high-standard construction.

[0004] 2. Ignoring the local vibration quality: The existing monitoring technologies mostly focus on macroscopic indicators such as the overall density and air bubble rate of concrete, and fail to conduct refined monitoring on the vibration effect of local areas. For example, key parts such as the nodes of the steel bar mesh and the joints of layered pouring are prone to quality defects due to insufficient vibration, and the existing systems cannot effectively identify such local problems.

[0005] 3. Lack of real-time and positioning functions: The traditional monitoring systems do not have the functions of real-time feedback and defect positioning, and it is difficult to dynamically evaluate the uniformity and density distribution of vibration. If there are phenomena of insufficient vibration or over-vibration during the construction process, it is impossible to give early warnings in time and accurately locate the problem areas, resulting in lagging subsequent remedial measures and affecting the overall construction efficiency and quality.

[0006] It can be seen that there is an urgent need for a construction monitoring system that can quantitatively evaluate in real time and accurately locate vibration defects to overcome the defects of the prior art. Summary of the Invention

[0007] In the first aspect of the present invention, in order to solve the above technical problems, a method for monitoring the vibration quality of pipe gallery concrete lining is provided, and the method includes: According to the sectional view of the pipe gallery structure, a three-dimensional vibration sensor network is arranged at the key nodes of the lining steel bar mesh; The original data of the three-dimensional vibration sensors are collected in real time and preprocessed to generate standardized vibration characteristic data; Based on power spectrum density analysis, a correlation model between the vibration characteristic data and vibration energy is established to calculate the vibration energy value of each area during the vibration process; based on the concrete mix ratio and vibrator frequency parameters, a correlation relationship between vibration energy and density and air bubble ratio is established to calculate the density and air bubble ratio; The calculated values of the density and the bubble rate are compared with the respective set benchmark values, and a dynamic control mechanism is triggered according to the comparison results, and a vibration quality report is generated.

[0008] Furthermore, the dynamic control mechanism includes: If the density and the bubble rate do not reach their respective benchmark values, it is marked as a defective area, a red alarm is triggered, and the defective area is re-vibrated; If the density and the air bubble rate both meet their respective benchmark values, the area is marked as qualified, a green prompt is displayed, and the vibration is terminated; If only the density meets the benchmark value but the bubble rate does not reach the benchmark value, it is marked as basically qualified, a yellow warning is displayed, and vibration is performed again, not more than 3 times.

[0009] Furthermore, the calculation formula of the density is:

[0010] Where, is the initial density; is the density gain coefficient in the concrete mix ratio; It is vibration energy; is the energy absorption efficiency coefficient.

[0011] Furthermore, the calculation formula of the bubble rate is:

[0012] Where, is the initial bubble rate; is the vibration frequency correction factor; is the bubble discharge efficiency coefficient; It is vibration energy.

[0013] Furthermore, the three-way vibration sensors are staggered in two layers to form a grid covering the entire area of the pipeline corridor lining.

[0014] Furthermore, the preprocessing of the raw data of the three-axis vibration sensor includes the following steps: The raw data is received through a wireless transmission module, and instantaneous outliers are eliminated using a sliding window method; The acceleration data in the original data is extracted, and Fourier transform is performed on the acceleration data to filter out high-frequency noise components and retain a frequency spectrum interval that matches the operating frequency of the vibrator.

[0015] A second aspect of the present invention provides a pipe gallery concrete lining vibration quality monitoring system, comprising: The sensor network module arranges a three-dimensional vibration sensor network on the lining surface according to the cross-section of the tunnel structure; Data acquisition and processing module, used to collect sensor data in real time and perform denoising and feature extraction; Energy calculation module, which analyzes vibration energy value based on power spectrum density; A quality assessment module converts the vibration energy value into density and bubble rate parameters using a preset formula; a dynamic control module for comparing the density and bubble rate with their respective baseline values and triggering a graded alarm; and The report generation module outputs a vibration quality report including defect locations and quality ratings.

[0016] Furthermore, each sensor of the sensor network module is connected to the data acquisition and processing module through a wireless transmission unit, and each sensor has a built-in position encoder for real-time feedback of its own installation coordinates.

[0017] Furthermore, the quality assessment module has a built-in machine learning model that optimizes the calculation formula parameters of density and bubble rate through historical vibration data.

[0018] Furthermore, the dynamic control module includes an audible and visual alarm and a visual interface, wherein the visual interface uses color to mark the quality status of the pipeline corridor lining area and supports clicking to view detailed parameter analysis.

[0019] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: The present invention realizes comprehensive monitoring, quantitative evaluation and real-time intervention of vibration quality through a closed-loop design of three-way vibration sensor network layout, data modeling and dynamic regulation. It can accurately locate defective locations such as insufficient density or bubble accumulation, effectively improving the efficiency and reliability of pipeline corridor concrete construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0021] Figure 1 This is the overall process block diagram disclosed in the embodiments of the present invention. Specific embodiments

[0022] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with 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 belong to the scope of protection of the present invention.

[0023] Aiming at the problems of relying on manual experience, ignoring the quality of local vibration and the lack of real-time and positioning functions in the current monitoring process of the concrete lining construction of the utility tunnel, the present invention proposes a method and system for monitoring the vibration quality of the concrete lining of the utility tunnel.

[0024] First, the method for monitoring the vibration quality of the concrete lining of the utility tunnel disclosed in the embodiments of the present invention will be described.

[0025] Please refer to Figure 1 , which mainly includes the following steps: Step 1: According to the sectional view of the utility tunnel structure, arrange a three-axis vibration sensor network at the key nodes of the lining steel bar mesh.

[0026] In this embodiment, according to the sectional design drawing of the utility tunnel, identify the key nodes of the lining steel bar mesh and the height of concrete layered pouring. Based on the height of layered pouring, form a grid along the longitudinal and circumferential directions of the utility tunnel, with a grid spacing of 1m×1m (applicable to small-section utility tunnels) or 1.5m×1.5m (applicable to large-section utility tunnels). The positions of the three-axis vibration sensors in the upper and lower layers are staggered to avoid signal overlap, and a grid is formed to cover the entire area of the utility tunnel lining.

[0027] In a further solution of this embodiment, in order to facilitate later data positioning, each sensor is built with a position encoder for real-time feedback of its own installation coordinates.

[0028] In addition, in order to avoid electromagnetic interference, the sensor wiring needs to meet the following requirements: on the one hand, the distance between sensors is more than 0.5m from other high-voltage electrical equipment in the utility tunnel; on the other hand, shielded twisted pair wires are used to connect the sensors and the wireless transmission module to reduce signal crosstalk.

[0029] Step 2: Real-time collect the original data of the three-axis vibration sensors and perform preprocessing to generate standardized vibration characteristic data.

[0030] In this embodiment, the preprocessing of the original data of the three-axis vibration sensors includes the following steps: Step 2.1: Receive the original data through the wireless transmission module, and use the sliding window method to eliminate instantaneous outliers.

[0031] Step 2.2: Extract the acceleration data from the original data, and perform Fourier transform on the acceleration data to filter out high-frequency noise components and retain the frequency spectrum range matching the operating frequency of the vibrator.

[0032] Among them, extract the acceleration peak value and effective value from the three-axis vibration sensor data. Based on the FFT spectrum analysis and the denoised data of the three-axis vibration sensor, obtain the characteristic data of the three-axis vibration sensor. Combine the on-site environmental parameters and the interference degree of each parameter, output the loss function, substitute the characteristic data of the three-axis vibration sensor into the calculation, and finally obtain the basic data of the three-axis vibration sensor.

[0033] Step 3: Based on the power spectral density analysis, establish a correlation model between the vibration characteristic data and the vibration energy to calculate the vibration energy values of each region during the vibration process; according to the concrete mix ratio and the vibrator frequency parameters, establish the correlation relationship between the vibration energy and the compactness and air void ratio to calculate the compactness and air void ratio.

[0034] Step 3.1: Based on the power spectral density formula and the basic data of the three-axis vibration sensor, establish a correlation model between the vibration characteristic data and the vibration energy to calculate the vibration energy value E of each region during the vibration process:

[0035] In the formula, 、 are the start time and stop time of the vibrator operation respectively; 、 、 are the acceleration time histories of the X-axis, Y-axis, and Z-axis respectively.

[0036] Through laboratory calibration tests (such as the impact hammer method), convert the integral result of the vibration energy value E into joules.

[0037] In this embodiment, in order to improve the model accuracy, use a machine learning algorithm (such as random forest) to train the historical data and optimize the frequency band weights in the vibration energy calculation. The input features include the acceleration peak value, main frequency amplitude, and environmental temperature, and the output is the vibration energy correction value, and the model error can be controlled within ±5%.

[0038] Step 3.2: According to the actual concrete mix ratio, set the compactness gain coefficient ; establish the correlation formula between the vibration energy and the concrete compactness, and calculate the compactness D of the culvert concrete lining vibration:

[0039] In the formula, is the initial density; is the density gain coefficient in the concrete mix; is the vibration energy; is the energy absorption efficiency coefficient.

[0040] Step 3.3: Determine the frequency correction coefficient C according to the frequency model of the surface vibrator, establish the correlation formula between the vibration energy and the concrete air void ratio, and calculate the air void ratio B of the culvert concrete lining vibration:

[0041] In the formula, is the initial air void ratio; is the vibrator frequency correction coefficient; is the air void discharge efficiency coefficient; is the vibration energy.

[0042] Step 4: Compare the calculated values of the density and the air void ratio with their respective set reference values, trigger the dynamic regulation mechanism according to the comparison results, and generate a vibration quality report.

[0043] Step 4.1: Obtain the reference values of the culvert concrete lining vibration quality parameters through preset standard test blocks; install a simple audible and visual warning device on the three-axis vibration sensor, and pay attention to the functional status and position information of all devices in real time on the computer side.

[0044] Among them, the computer side is configured with a dynamic regulation mechanism, specifically including: If both the density and the air void ratio do not reach their respective reference values, mark it as a defective area, and the vibration is insufficient, trigger a red alarm, and re-vibrate the defective area.

[0045] If both the density and the air void ratio meet their respective reference values, mark it as a qualified area, display a green prompt, and end the vibration.

[0046] If only the density meets its reference value while the air void ratio does not reach its reference value, mark it as basically qualified, display a yellow warning, and vibrate again no more than 3 times.

[0047] Step 4.2: Record the device position information exceeding the reference value according to the computer side prompt, generate a culvert concrete lining vibration quality report for key attention during subsequent maintenance.

[0048] The present invention also provides a culvert concrete lining vibration quality monitoring system adopting the above method, including a sensor network module, a data acquisition and processing module, an energy calculation module, a quality evaluation module, a dynamic regulation module, and a report generation module, wherein: The sensor network module arranges a three-axis vibration sensor network on the lining surface according to the culvert structure section drawing.

[0049] The data acquisition and processing module is used to collect sensor data in real time and perform denoising and feature extraction.

[0050] The energy calculation module is configured to analyze the vibration energy value based on the power spectral density.

[0051] The quality assessment module converts the vibration energy value into parameters of density and bubble rate through a preset formula.

[0052] The dynamic regulation module is used to compare the density and bubble rate with their respective reference values and trigger hierarchical alarms.

[0053] The report generation module can output a vibration quality report containing the defect location and quality rating.

[0054] In a further aspect of this embodiment, each sensor of the sensor network module is communicatively connected to the data acquisition and processing module through a wireless transmission unit, such as using the LoRaWAN protocol; and the sensor is built-in with a position encoder for real-time feedback of their respective installation coordinates.

[0055] The quality assessment module is built-in with a machine learning model to optimize the calculation formula parameters of density and bubble rate through historical vibration data.

[0056] The dynamic regulation module includes an audible and visual alarm and a visualization interface. Among them, the visualization interface marks the quality status of the pipe gallery lining area with colors and supports clicking to view detailed parameter analysis and historical data curves.

[0057] In this embodiment, in addition to being attached with a sensor layout diagram and a raw data sampling record, the vibration quality report also includes the following content: Project overview: pipe gallery length, cross-sectional dimensions, concrete strength grade.

[0058] Monitoring data summary: density, bubble rate and vibration energy distribution diagrams of each area; Defect location table: listing the coordinates of unqualified areas (such as "5m longitudinally, 120° circumferentially"), defect types and recommended measures.

[0059] Through the closed-loop design of the sensor network, data modeling and dynamic regulation, the present invention realizes the comprehensive monitoring, quantitative evaluation and real-time intervention of vibration quality, effectively improving the efficiency and reliability of pipe gallery concrete construction.

[0060] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for monitoring the vibration compaction quality of the concrete lining in a pipe gallery, characterized in that, The method comprises: According to the cross-section of the tunnel structure, a three-way vibration sensor network is arranged at the key nodes of the lining steel mesh; Collecting the raw data of the three-axis vibration sensor in real time and preprocessing it to generate standardized vibration characteristic data; Based on power spectrum density analysis, a correlation model between the vibration characteristic data and vibration energy is established to calculate the vibration energy value of each area during the vibration process; based on the concrete mix ratio and vibrator frequency parameters, a correlation relationship between vibration energy and density and air bubble ratio is established to calculate the density and air bubble ratio; The calculated values of the density and the bubble rate are compared with the respective set benchmark values, and a dynamic control mechanism is triggered according to the comparison results, and a vibration quality report is generated.

2. The method for monitoring the vibration quality of the concrete lining of the utility tunnel according to claim 1, characterized in that The dynamic control mechanism includes: If the density and the bubble rate do not reach their respective benchmark values, it is marked as a defective area, a red alarm is triggered, and the defective area is re-vibrated; If the density and the air bubble rate both meet their respective benchmark values, the area is marked as qualified, a green prompt is displayed, and the vibration is terminated; If only the density meets the benchmark value but the bubble rate does not reach the benchmark value, it is marked as basically qualified, a yellow warning is displayed, and vibration is performed again, not more than 3 times.

3. The method for monitoring the vibration quality of the concrete lining in the pipe gallery according to claim 1, characterized in that, The calculation formula of the density is: In the formula, is the initial density; is the density gain coefficient in the concrete mix; is the vibration energy; is the energy absorption efficiency coefficient.

4. The method for monitoring the vibration quality of the concrete lining of the pipe gallery according to claim 1 or 3, characterized in that, The calculation formula of the bubble rate is: In the formula, is the initial bubble rate; is the vibrator frequency correction coefficient; is the bubble discharge efficiency coefficient; is the vibration energy.

5. The method for monitoring the vibration quality of the concrete lining in the pipe gallery according to claim 1, characterized in that, The three-way vibration sensors are arranged in two layers in an alternating manner to form a grid covering the entire area of the pipeline corridor lining.

6. The method for monitoring the vibration quality of the concrete lining in the pipe gallery according to claim 1, characterized in that, The preprocessing of the raw data of the three-axis vibration sensor comprises the following steps: The raw data is received through a wireless transmission module, and instantaneous outliers are eliminated using a sliding window method; The acceleration data in the original data is extracted, and the acceleration data is subjected to Fourier transformation to filter out high-frequency noise components and retain a frequency spectrum interval that matches the operating frequency of the vibrator.

7. A quality monitoring system for the vibration of the concrete lining of a pipe gallery, characterized in that, include: The sensor network module arranges a three-way vibration sensor network on the lining surface according to the cross-section of the tunnel structure; Data acquisition and processing module, used to collect sensor data in real time and perform denoising and feature extraction; Energy calculation module, which analyzes vibration energy value based on power spectrum density; A quality assessment module converts the vibration energy value into density and bubble rate parameters using a preset formula; a dynamic control module for comparing the density and bubble rate with their respective baseline values and triggering a graded alarm; and The report generation module outputs a vibration quality report including defect locations and quality ratings.

8. The quality monitoring system for the vibration of the concrete lining of the utility tunnel according to claim 7, characterized in that, Each sensor in the sensor network module is connected to the data acquisition and processing module through a wireless transmission unit, and each sensor has a built-in position encoder for real-time feedback of its own installation coordinates.

9. The quality monitoring system for the vibration of the concrete lining of the pipe gallery according to claim 7, characterized in that, The quality assessment module has a built-in machine learning model that optimizes the calculation formula parameters of density and bubble rate through historical vibration data.

10. The mass vibration monitoring system for the concrete lining of the utility tunnel according to claim 7, wherein, The dynamic control module includes an audible and visual alarm and a visual interface, wherein the visual interface uses color to mark the quality status of the pipeline corridor lining area and supports clicking to view detailed parameter analysis.

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