Pile sinking vibration intelligent monitoring method and device

Abstract

The invention provides a pile sinking vibration intelligent monitoring method and device. The method comprises the steps that S1, acceleration signals in the pile sinking process are synchronously collected through a plurality of three-axis inertial sensors deployed in a to-be-monitored area; s2, the data processing terminal converts the acceleration signal into a speed time domain signal and performs interference filtering to obtain effective PGV data; s3, performing real-time curve fitting on the effective PGV data of different monitoring points through a nonlinear least square method, dynamically correcting a vibration attenuation coefficient, and automatically calculating a dynamic safety distance according to a preset safety threshold value; s4, a composite vibration isolation barrier is constructed between the construction area and the protected building according to the dynamic safety distance and the real-time vibration monitoring result; and S5, monitoring the vibration reduction rate after the construction of the composite vibration isolation barrier in real time, and dynamically adjusting the layout parameters of the stress release holes according to the deviation between the vibration reduction rate and the target limit value to realize accurate vibration over-filtering.

Description

Technical Field

[0001] This invention relates to a method and device for intelligent monitoring of pile driving vibration. Background Technology

[0002] With the rapid development of urban construction, pile driving, as an important component of foundation engineering, has increasingly drawn attention to the impact of its vibrations on surrounding buildings. The development of pile driving vibration monitoring technology has evolved from simple manual observation to automated monitoring, and it has now become a crucial technical means to ensure construction safety and protect existing buildings.

[0003] In the field of pile driving construction monitoring, CN119824959A proposes a method for recording the number of hammer blows during the pile driving process. The method involves measuring the vibration wave velocity and acceleration values ​​around the pile driving point, drawing a time history diagram, and counting the peak and peak points of the waves to record the number of hammer blows.

[0004] However, the existing technology still has the following technical problems: existing vibration monitoring systems mostly rely on manual data collection or simple threshold alarms, and lack an effective mechanism for identifying and eliminating accidental disturbance signals such as human activities and mechanical operations at the construction site. This results in a large number of isolated peak interferences in the monitoring data, which cannot accurately reflect the true attenuation law of pile driving vibration. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide an intelligent monitoring method and device for pile driving vibration, solving the technical problem that existing pile driving vibration monitoring systems lack an effective interference identification mechanism, and achieving accurate vibration filtering. This objective is achieved as follows:

[0006] This invention proposes an intelligent monitoring method for pile driving vibration, comprising: S1: synchronously acquiring acceleration signals during the pile driving process through multiple triaxial inertial sensors deployed in the area to be monitored, and transmitting the acceleration signals to a data processing terminal;

[0007] S2: The data processing terminal converts the acceleration signal into a velocity time-domain signal through an integral algorithm, and performs interference filtering on the velocity time-domain signal through an isolated peak discrimination algorithm to identify and eliminate accidental disturbance data and obtain valid PGV data.

[0008] S3: Real-time curve fitting of effective PGV data at different monitoring points is performed using the nonlinear least squares method to dynamically correct the vibration attenuation coefficient and automatically calculate the dynamic safety distance based on the preset safety threshold.

[0009] S4: Based on the dynamic safety distance and real-time vibration monitoring results, a composite vibration isolation barrier is constructed between the construction area and the protected building. The composite vibration isolation barrier includes an anti-squeezing trench and at least two rows of stress relief holes arranged on the side of the anti-squeezing trench. The stress relief holes are filled with yellow sand.

[0010] S5: Monitor the vibration reduction rate after the composite vibration isolation barrier is constructed in real time, and dynamically adjust the layout parameters of the stress relief holes according to the deviation between the vibration reduction rate and the target limit.

[0011] Furthermore, in S2, the isolated peak discrimination algorithm makes a judgment by comparing the waveform correlation of adjacent monitoring points within the same time window: if a certain monitoring point has a sudden peak change and the adjacent monitoring points do not have a corresponding magnitude of fluctuation, and the peak is an isolated pulse in the time domain, then the peak is determined to be an accidental disturbance signal and is eliminated.

[0012] Furthermore, in S4, the stress relief holes are arranged in a staggered, quincunx pattern, the depth of the anti-squeezing groove is not less than 1.5m, and the depth of the stress relief holes is not less than 20m.

[0013] Furthermore, in S5, the layout parameters include the number of rows of stress relief holes, the hole depth, and the hole spacing.

[0014] Furthermore, S5 also includes dynamically adjusting the pile driving sequence according to the vibration reduction rate, prioritizing the construction of pile foundations far from the protected building to form a pile barrier.

[0015] Furthermore, the aforementioned intelligent monitoring method for pile driving vibration utilizes an intelligent monitoring device for pile driving vibration, which includes:

[0016] The data acquisition module is used to synchronously acquire acceleration signals during the pile driving process using multiple triaxial inertial sensors deployed in the area to be monitored;

[0017] The interference filtering module is used to convert the acceleration signal into a velocity time-domain signal and remove accidental disturbance data through an isolated peak discrimination algorithm to obtain effective PGV data.

[0018] The dynamic evaluation module is used to perform real-time curve fitting on effective PGV data, dynamically correct the vibration attenuation coefficient, and calculate the dynamic safety distance.

[0019] The collaborative control module is used to output the construction parameters and construction adjustment scheme of the composite vibration isolation barrier based on the dynamic safety distance and real-time vibration monitoring results.

[0020] Compared with the prior art, the beneficial effects of the present invention are: by combining a triaxial inertial sensor with an isolated peak discrimination algorithm, the problem of false alarms caused by human disturbance at the construction site is effectively solved, and the accuracy and reliability of vibration monitoring are significantly improved; by dynamically correcting the attenuation coefficient through real-time curve fitting, the scientific assessment of the safety distance is realized, which changes the limitations of the traditional reliance on empirical formulas and makes the construction organization more in line with the complex geological reality. Detailed Implementation

[0021] To enhance understanding of the present invention, the present invention will be further described in detail below with reference to embodiments. These embodiments are only used to explain the present invention and do not constitute a limitation on the scope of protection of the present invention.

[0022] Example 1

[0023] This embodiment provides an intelligent monitoring method for pile driving vibration, mainly applied to pile driving construction scenarios adjacent to existing industrial plants or sensitive buildings. This method combines a hardware monitoring system with software processing logic to achieve intelligent identification of vibration interference and dynamic optimization of vibration isolation measures. The specific details of the intelligent monitoring method for pile driving vibration are as follows:

[0024] S1: Multiple monitoring points are deployed on the soil surface between the pile driving construction area and the protected building. Each monitoring point is equipped with a triaxial inertial sensor to synchronously collect horizontal radial, horizontal axial and vertical acceleration signals. During installation, the triaxial inertial sensor is buried about 30cm below the soil surface and backfilled and compacted to ensure that the sensor is in close contact with the soil. The sensor is connected to the data acquisition cabinet on site through a signal line. The data acquisition cabinet transmits the raw acceleration data to the data processing terminal in the background in real time through the communication network.

[0025] S2: After receiving the acceleration signal, the data processing terminal first converts the acceleration signal into a velocity time-domain signal through an integration algorithm. Due to the complex environment of the construction site, there are occasional disturbances caused by human movement, vehicle passage, or non-piling machinery operation. The data processing terminal establishes an isolated peak discrimination model based on a time window. The system compares the waveform correlation of adjacent monitoring points on the same time axis. If a monitoring point has a peak velocity exceeding a preset threshold, but its adjacent monitoring points do not detect fluctuations with the same attenuation characteristics, and the peak value is an isolated pulse signal in the time domain, the system determines that the signal is environmental noise or human disturbance and automatically removes it from the PGV statistical sequence. Through this algorithm, the system can extract the effective PGV data generated by hammer-driven pile driving. The isolated peak discrimination algorithm makes a judgment by comparing the waveform correlation of adjacent monitoring points in the same time window. If a monitoring point has a peak abrupt change and adjacent monitoring points do not have fluctuations of the corresponding magnitude, and the peak value is an isolated pulse in the time domain, the peak value is determined to be an occasional disturbance signal and removed. Here, PGV is an abbreviation for peak velocity.

[0026] As an example, after receiving the raw acceleration signal, the data processing terminal first performs data preprocessing, converting it into a velocity time-domain signal using an integration algorithm. Since peak velocity is a more direct indicator for assessing the impact of vibration on a building, to distinguish real pile driving vibration from environmental noise or accidental disturbances, an isolated peak discrimination model based on a time window is used. This model leverages the continuity and attenuation characteristics of pile driving vibration propagation in space, as well as the spatial locality and temporal instantaneity of accidental disturbances. A short time window is selected, and within this window, the waveform correlation of adjacent monitoring points on the same time axis is compared. If the velocity signal at a certain monitoring point shows a peak value exceeding a preset threshold, [further action is taken]. However, if adjacent monitoring points do not detect fluctuations with similar attenuation characteristics within the same time window, meaning that the vibration energy does not propagate continuously in space, and the peak value appears as an isolated, short-lived pulse signal in the time domain, the system will intelligently determine that the signal is an accidental disturbance not caused by pile driving, such as personnel walking, vehicles passing by, or small machinery vibration, and automatically remove it from the PGV statistical sequence. Through this multi-point collaborative and spatiotemporally correlated discrimination mechanism, the present invention can effectively filter out complex noise at the construction site, ensuring that the PGV data used in subsequent analysis is effective data that truly reflects the pile driving vibration effect, and significantly improving the accuracy and reliability of monitoring.

[0027] S3: The data processing terminal uses the nonlinear least squares method to substitute the extracted effective PGV data into the vibration attenuation formula for real-time curve fitting. Based on the measured data, it dynamically corrects the attenuation coefficient and attenuation index to generate a vibration attenuation model that conforms to the current geological conditions. Based on this model, it automatically calculates the dynamic safety distance that meets the safety threshold. When the pile driving position enters the range of this safety distance, the system issues an early warning to the construction management terminal, prompting that vibration isolation measures must be started or strengthened.

[0028] S4: Based on the dynamic safety distance and real-time vibration monitoring results, a composite vibration isolation barrier is constructed between the construction area and the protected building. This barrier consists of anti-squeeze trenches and multiple rows of stress relief holes. In specific implementation, an anti-squeeze trench with a width and depth of 1.5m is first excavated along the red line to cut off surface waves. The depth of the anti-squeeze trench is not less than 1.5m, which can effectively block the propagation of shallow vibration waves. On the construction side of the anti-squeeze trench, at least two rows of stress relief holes are drilled using a drilling rig. The depth of the stress relief holes is not less than 20m, the diameter is 300mm, and the row spacing is 1m. The stress relief holes are arranged in a staggered quincunx pattern. This arrangement can maximize the coverage of the vibration propagation path and form an effective vibration attenuation area. In order to prevent the hole wall from collapsing and enhance the absorption effect of body waves, loose yellow sand is filled into the stress relief holes. The wave impedance difference formed between the yellow sand filling layer and the soil can effectively scatter and attenuate the vibration energy propagating deep.

[0029] S5: During construction, the data processing terminal continuously monitors the vibration reduction rate after the composite vibration isolation barrier is constructed. If the measured vibration value at the foundation of the protected building is still close to or exceeds the target limit, the system will dynamically adjust the layout parameters of the stress relief holes according to the deviation between the vibration reduction rate and the target limit. The layout parameters include the number of rows of stress relief holes, the hole depth, and the hole spacing. Specific adjustment measures include: increasing the number of rows of stress relief holes from two rows to three rows; reducing the spacing of stress relief holes from 1m to 0.8m; and increasing the depth of stress relief holes from 20m to 25m. In addition, the system will also dynamically adjust the pile driving construction sequence according to the vibration reduction rate, prioritizing the construction of pile foundations far away from the protected building to form a pile barrier, and using the completed pile foundation group to form an additional barrier effect.

[0030] This intelligent monitoring method for pile driving vibration is implemented using an intelligent monitoring device for pile driving vibration. The device includes a data acquisition module, an interference filtering module, a dynamic evaluation module, and a collaborative control module. The data acquisition module synchronously acquires acceleration signals during the pile driving process through multiple triaxial inertial sensors deployed in the area to be monitored. The interference filtering module converts the acceleration signals into velocity time-domain signals and removes accidental disturbance data through an isolated peak discrimination algorithm to obtain effective PGV data. The dynamic evaluation module performs real-time curve fitting on the effective PGV data, dynamically corrects the vibration attenuation coefficient, and calculates the dynamic safety distance. The collaborative control module outputs the construction parameters and construction adjustment plan for the composite vibration isolation barrier based on the dynamic safety distance and real-time vibration monitoring results.

[0031] Through the aforementioned hardware and software collaborative control, this method successfully reduced the vibration value of pile driving in the expansion project from the original 8 mm / s to 3.89 mm / s, a reduction of over 50%, ensuring zero damage to surrounding operating buildings. By combining a triaxial inertial sensor with an isolated peak discrimination algorithm, this method effectively solved the problem of false data reporting caused by human disturbance at the construction site, significantly improving the accuracy and reliability of vibration monitoring. By dynamically correcting the attenuation coefficient through real-time curve fitting, it achieved a scientific assessment of the safety distance, overcoming the limitations of traditional empirical formulas. By adopting a composite vibration isolation structure of anti-squeezing trenches and multi-row sand pile stress relief holes, and combining monitoring feedback for dynamic parameter adjustment, the vibration value can be stably controlled within an extremely low range that is stricter than the national standard, effectively protecting the safety of nearby sensitive buildings.

[0032] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for intelligent monitoring of pile driving vibration, characterized in that, include: S1: Acceleration signals during the pile driving process are synchronously collected by multiple triaxial inertial sensors deployed in the area to be monitored, and the acceleration signals are transmitted to the data processing terminal. S2: The data processing terminal converts the acceleration signal into a velocity time-domain signal through an integral algorithm, and performs interference filtering on the velocity time-domain signal through an isolated peak discrimination algorithm to identify and eliminate accidental disturbance data and obtain valid PGV data. S3: Real-time curve fitting of effective PGV data at different monitoring points is performed using the nonlinear least squares method to dynamically correct the vibration attenuation coefficient and automatically calculate the dynamic safety distance based on the preset safety threshold. S4: Based on the dynamic safety distance and real-time vibration monitoring results, a composite vibration isolation barrier is constructed between the construction area and the protected building. The composite vibration isolation barrier includes an anti-squeezing trench and at least two rows of stress relief holes arranged on the side of the anti-squeezing trench. The stress relief holes are filled with yellow sand. S5: Monitor the vibration reduction rate after the composite vibration isolation barrier is constructed in real time, and dynamically adjust the layout parameters of the stress relief holes according to the deviation between the vibration reduction rate and the target limit.

2. The intelligent monitoring method for pile driving vibration according to claim 1, characterized in that, In S2, the isolated peak discrimination algorithm makes a judgment by comparing the waveform correlation of adjacent monitoring points within the same time window: if a peak change occurs at a certain monitoring point and no corresponding fluctuation occurs at adjacent monitoring points, and the peak is an isolated pulse in the time domain, then the peak is determined to be an accidental disturbance signal and is eliminated.

3. The intelligent monitoring method for pile driving vibration according to claim 2, characterized in that, In step S4, the stress relief holes are arranged in a staggered, quincunx pattern, the depth of the anti-squeezing groove is not less than 1.5m, and the depth of the stress relief holes is not less than 20m.

4. The intelligent monitoring method for pile driving vibration according to claim 3, characterized in that, In step S5, the layout parameters include the number of rows of stress relief holes, the hole depth, and the hole spacing.

5. The intelligent monitoring method for pile driving vibration according to claim 4, characterized in that, S5 also includes dynamically adjusting the pile driving sequence according to the vibration reduction rate, prioritizing the construction of pile foundations far from the protected building to form a pile barrier.

6. The intelligent monitoring method for pile driving vibration according to claim 5, characterized in that, The aforementioned intelligent monitoring method for pile driving vibration uses an intelligent monitoring device for pile driving vibration, the intelligent monitoring device for pile driving vibration comprising: The data acquisition module is used to synchronously acquire acceleration signals during the pile driving process using multiple triaxial inertial sensors deployed in the area to be monitored; The interference filtering module is used to convert the acceleration signal into a velocity time-domain signal and remove accidental disturbance data through an isolated peak discrimination algorithm to obtain effective PGV data. The dynamic evaluation module is used to perform real-time curve fitting on effective PGV data, dynamically correct the vibration attenuation coefficient, and calculate the dynamic safety distance. The collaborative control module is used to output the construction parameters and construction adjustment scheme of the composite vibration isolation barrier based on the dynamic safety distance and real-time vibration monitoring results.