Vibration measurement method and device for existing bridge widening construction wet joint
By determining the filter threshold in bridge widening construction and using Kalman filtering technology to process bridge vibration data, the cost and time-consuming problems in traditional methods are solved, efficient and convenient bridge vibration monitoring is achieved, and data accuracy and working efficiency are significantly improved.
Patent Information
- Application Number
- CN202411665238.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-20
- Publication Date
- 2025-03-28
AI Technical Summary
In the construction of existing bridge widening, traditional fixed sensors are costly and time-consuming when measuring vibration information at wet joints of new and old bridges, making it difficult to quickly and conveniently obtain accurate data.
By determining the filter threshold corresponding to the vibration at the wet joint of the bridge widening construction, the bridge deck vibration data is collected and the first noise filtering process is performed, and the data is then subjected to the second noise filtering process based on Kalman filtering to obtain high-precision bridge vibration data and display it in real time.
It improves the accuracy of bridge measurement data, reduces vibration monitoring costs, is low in monitoring costs and high working efficiency, and significantly improves measurement efficiency and data accuracy compared with traditional methods.
Smart Images
Figure CN119714499A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of bridge monitoring, and in particular to a vibration measurement method and device for wet joints in widening construction of an existing bridge. Background Art
[0002] With urbanization and economic development, the number of cars and traffic volume in cities has increased year by year, and the traffic capacity of urban viaducts has become increasingly saturated. Improving the traffic capacity of existing bridges has become an urgent problem that society needs to solve. Bridge widening is an effective solution to increase the traffic capacity of existing bridges. In the current bridge widening construction, the construction method of interrupting traffic is generally adopted to ensure construction safety and construction quality. However, this method is bound to cause large-scale traffic congestion and cause adverse social impacts. Therefore, the semi-closed traffic bridge widening construction method is becoming more and more important.
[0003] At the connection between the new and old bridges, especially at the wet joints, it is crucial to arrange the measuring points reasonably. These measuring points need to be able to accurately reflect the vibration state of the joints. The collected data needs to be analyzed in detail to evaluate the impact of vibration on the safety of the structure. The analysis results can help engineers understand the dynamic response of the structure and provide guidance for subsequent construction to ensure the quality of the connection between the new and old concrete. At present, the traditional vibration measurement method at the wet joints of bridge widening construction uses fixed sensors to measure vibration information, which makes bridge vibration monitoring costly and time-consuming.
[0004] Therefore, how to quickly and conveniently measure the vibration information at the wet joints between new and old bridges is a technical problem that needs to be solved urgently. Summary of the invention
[0005] In view of this, it is necessary to provide a vibration measurement method and device for wet joints in existing bridge widening construction, so as to quickly and conveniently measure the vibration information at the wet joints of new and old bridges.
[0006] In a first aspect, the present invention provides a vibration measurement method for wet joints in an existing bridge widening construction, comprising: Determine the filtering threshold corresponding to vibration at wet joints during widening construction of existing bridges; Collecting bridge deck vibration data, and performing a first noise filtering process on the bridge deck vibration data based on the filtering threshold to obtain first bridge noise filtering data; The first bridge noise-filtered data is subjected to a second noise-filtering process based on Kalman filtering to obtain second bridge noise-filtered data.
[0007] In a possible implementation, the filtering threshold includes a first filtering threshold and a second filtering threshold; Determining the filtering threshold corresponding to the vibration at the wet joint of the existing bridge widening construction includes: Acquiring bridge parameters, performing numerical simulation on the bridge parameters, and obtaining the first filtering threshold; Based on a preset anti-disturbance experiment, the second filtering threshold is obtained.
[0008] In a possible implementation, the bridge parameters include bridge length and cross-sectional dimensions, and the numerical simulation of the bridge parameters includes: If the difference between the bridge length and the cross-sectional size is not within a first preset range, numerically simulating the bridge parameters according to the Euler-Bernoulli beam theory; If the difference between the bridge length and the cross-sectional size is within a first preset range, numerical simulation is performed on the bridge parameters according to Timoshenko beam theory.
[0009] In a possible implementation, the bridge deck vibration data is time domain data, and filtering the bridge deck vibration data based on the filtering threshold to obtain first bridge noise-filtered data includes: Performing data conversion processing on the bridge deck vibration data by using continuous Fourier transform to obtain first bridge frequency domain data; The first bridge frequency domain data is filtered based on the filtering threshold to obtain first bridge noise-filtered data.
[0010] In a possible implementation, filtering the first bridge frequency domain data based on the filtering threshold to obtain first bridge noise-filtered data includes: The first filtering threshold is used as the upper limit of the filtering threshold, and the second filtering threshold is used as the lower limit of the filtering threshold, and the first bridge frequency domain data is filtered to obtain the first bridge noise-filtered data.
[0011] In a possible implementation, the first bridge noise-filtered data is frequency domain data, and the performing second noise-filtering processing on the first bridge noise-filtered data based on Kalman filtering to obtain second bridge noise-filtered data includes: Performing data inverse conversion processing on the noise-filtered data of the first bridge by using continuous inverse Fourier transform to obtain time domain data of the first bridge; A second noise filtering process is performed on the first bridge time domain data based on Kalman filtering to obtain second bridge noise filtered data.
[0012] In a possible implementation, the method further includes: Using continuous Fourier transform to perform data conversion processing on the noise-filtered data of the second bridge to obtain bridge frequency domain data; The bridge frequency domain data is displayed in real time in the form of a chart.
[0013] In a second aspect, the present invention further provides a vibration measurement device for wet joints in widening construction of an existing bridge, comprising: A filter threshold determination module, for determining a filter threshold corresponding to vibration at a wet joint in an existing bridge widening construction; A first data processing module is used to collect bridge deck vibration data, and perform a first noise filtering process on the bridge deck vibration data based on the filtering threshold to obtain first bridge noise filtering data; The second data processing module is used to perform a second noise filtering process on the first bridge noise filtered data based on Kalman filtering to obtain second bridge noise filtered data.
[0014] In a possible implementation, the data processing module specifically includes a three-axis acceleration sensor and a digital-to-analog converter; The three-axis acceleration sensor is specifically used to collect the corresponding analog voltage signal using the capacitor inside the three-axis acceleration sensor when the vibration of the bridge changes; The digital-to-analog converter is used to convert the analog voltage signal into a digital signal, and determine the digital signal as the bridge deck vibration data.
[0015] The present invention determines a filtering threshold corresponding to the vibration at the wet joint of the existing bridge widening construction; collects bridge deck vibration data, performs a first noise filtering process on the bridge deck vibration data based on the filtering threshold, and obtains first bridge noise filtering data; performs a second noise filtering process on the first bridge noise filtering data based on Kalman filtering, and obtains second bridge noise filtering data. Finally, the second bridge noise filtering data is displayed in real time, which improves the accuracy of bridge measurement data, and greatly reduces the vibration monitoring cost compared to traditional fixed sensors monitoring bridge vibration, with low monitoring cost and high work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] 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 those skilled in the art, other drawings can be obtained based on these drawings without creative work.
[0017] Figure 1 A method flow chart of an embodiment of a vibration measurement method for wet joints in an existing bridge widening construction provided by the present invention; Figure 2 A structural schematic diagram of an embodiment of a vibration measurement device for wet joints in widening construction of an existing bridge provided by the present invention; Figure 3 A schematic diagram of the structure of a three-axis accelerometer built into a smart phone provided by one embodiment of the present invention. DETAILED DESCRIPTION
[0018] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.
[0019] The descriptions of "first", "second", etc. involved in the embodiments of the present invention are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the technical features defined as "first" and "second" may explicitly or implicitly include at least one of the features.
[0020] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0021] For a specific embodiment of the present invention, please refer to Figure 1 , Figure 1 A method flow chart of an embodiment of a vibration measurement method for wet joints in an existing bridge widening construction provided by the present invention discloses a vibration measurement method for wet joints in an existing bridge widening construction: Step 101: determining a filtering threshold corresponding to vibration at a wet joint during widening construction of an existing bridge; Step 102: collecting bridge deck vibration data, and performing a first noise filtering process on the bridge deck vibration data based on a filtering threshold to obtain first bridge noise filtering data; Step 103: Perform a second noise filtering process on the first bridge noise filtered data based on Kalman filtering to obtain second bridge noise filtered data.
[0022] The present invention determines a filtering threshold corresponding to the vibration at the wet joint of the existing bridge widening construction; collects bridge deck vibration data, performs a first noise filtering process on the bridge deck vibration data based on the filtering threshold, and obtains first bridge noise filtering data; performs a second noise filtering process on the first bridge noise filtering data based on Kalman filtering, and obtains second bridge noise filtering data. Finally, the second bridge noise filtering data is displayed in real time, which improves the accuracy of bridge measurement data, and greatly reduces the vibration monitoring cost compared to traditional fixed sensors monitoring bridge vibration, with low monitoring cost and high work efficiency.
[0023] In one embodiment of the present invention, the filtering threshold includes a first filtering threshold and a second filtering threshold; determining the filtering threshold corresponding to the vibration at the wet joint of the existing bridge widening construction includes: Acquire bridge parameters, perform numerical simulation on the bridge parameters, and obtain a first filtering threshold; Based on a preset anti-disturbance experiment, a second filtering threshold is obtained.
[0024] The bridge parameters include the bridge length and cross-sectional dimensions. The numerical simulation of the bridge parameters includes: If the difference between the bridge length and the cross-sectional dimensions is not within the first preset range, numerical simulation of the bridge parameters is performed according to the Euler-Bernoulli beam theory; If the difference between the bridge length and the cross-sectional dimensions is within a first preset range, the bridge parameters are numerically simulated according to the Timoshenko beam theory.
[0025] It can be understood that the bridge parameters include bridge length data and cross-sectional size data. If the bridge length is much larger than the cross-sectional size, that is, a slender beam, the numerical simulation software calculates the numerical simulation results of the bridge vibration information at the wet joint of the new and old bridges according to the Euler-Bernoulli beam theory; if the bridge length is similar to the cross-sectional size, that is, a beam with a small span and a large beam height, the numerical simulation software calculates the numerical simulation results of the bridge vibration information at the wet joint of the new and old bridges according to the Timoshenko beam theory, and uses it as the upper threshold of the noise filtering in the subsequent noise filtering step. That is, the first filtering threshold.
[0026] The numerical simulation software was used to analyze the bridge parameters and calculate the numerical simulation results of the bridge vibration information at the wet joints of the new and old bridges, i.e. the first filtering threshold, which was used as the upper threshold of the noise filtering in the subsequent filtering process. According to the literature survey of existing anti-disturbance concrete, when the vibration frequency is lower than a certain frequency, the impact of the disturbance on the performance of ordinary concrete can be ignored. Therefore, this frequency and amplitude are used as the lower threshold of the noise filtering in the subsequent filtering process.
[0027] First of all, it should be noted that when collecting bridge deck vibration data, a clamp-type fixing device is used to fix the measuring device, wherein the measuring device can be a smart phone. By fixing the smart phone horizontally on the bridge surface, more accurate bridge vibration data can be obtained, and mobile collection is more flexible and convenient. The filtering of bridge deck vibration data includes filtering the noise of bridge deck vibration data and filtering abnormal data in bridge deck acceleration. The abnormal data filtering uses the simulation results obtained by numerical simulation software as the control threshold.
[0028] In one embodiment of the present invention, the bridge deck vibration data is time domain data, and the bridge deck vibration data is filtered based on a filtering threshold to obtain first bridge noise-filtered data, including: Continuous Fourier transform is used to perform data conversion processing on the bridge deck vibration data to obtain the first bridge frequency domain data; The frequency domain data of the first bridge is filtered based on the filtering threshold to obtain the noise-filtered data of the first bridge.
[0029] It can be understood that the bridge deck vibration data is a time domain signal, and the filtering threshold is data available in the frequency domain, including frequency and amplitude. Therefore, it is necessary to first perform Fourier transform processing on the bridge deck vibration data to obtain the first bridge frequency domain data. Specifically, the first filtering threshold is used as the upper limit of the filtering threshold, and the second filtering threshold is used as the lower limit of the filtering threshold. The data of the part that does not need to be studied is removed, and the data between the upper and lower thresholds is retained as the first bridge noise-filtered data.
[0030] Among them, the transformation expression of the continuous Fourier transform algorithm is as follows:
[0031] Represents the output function of the continuous Fourier transform represents a digital signal that varies with time, Represents the complex exponential function in Euler's formula, which is used to convert the signal in the time domain into the signal in the frequency domain. Represents the process of integrating the time domain function by a small time interval in the integral expression. It means that the digital signal after filtering high-frequency noise is converted from time domain data to frequency domain data using continuous Fourier transform. The signal frequency calculation expression is: , The output function representing the frequency of the digital signal, Represents a frequency variable.
[0032] In one embodiment of the present invention, the first bridge noise-filtered data is frequency domain data, and the first bridge noise-filtered data is subjected to second noise-filtering processing based on Kalman filtering to obtain second bridge noise-filtered data, including: The noise-filtered data of the first bridge are processed by continuous inverse Fourier transform to obtain the time domain data of the first bridge; A second noise filtering process is performed on the first bridge time domain data based on Kalman filtering to obtain second bridge noise filtered data.
[0033] It is understandable that the purpose of using Kalman filtering to continue to filter out the noise in this part of the data is to filter out the noise in this part, but Kalman filtering is processed in the time domain, so the above frequency domain data needs to be converted into time domain data using inverse Fourier transform, and then the Kalman filtering step is performed.
[0034] Among them, the inverse expression of the continuous inverse Fourier transform algorithm is as follows:
[0035] represents the output function of the continuous inverse Fourier transform, represents the output function of the continuous Fourier transform, Represents the complex exponential function in Euler's formula, which is used to convert the signal in the time domain into the signal in the frequency domain. Represents frequency variable An infinitesimal increment of Represents the inverse process of the continuous Fourier transform, which is used to convert the frequency domain function back to the time domain function.
[0036] The processing flow of using Kalman filtering to perform the second noise filtering on the time domain data of the first bridge is as follows: according to Moment prediction Status at the moment: ,in, express The posterior state estimate at time , express The prior state estimate at time , represents the fixed constant in the moment prediction calculation formula; then calculate the Kalman gain: ,in, represents the Kalman gain, represents the covariance matrix of the system state estimation error, represents the measurement matrix, represents the measurement noise covariance; finally, correction is performed based on the Kalman gain calculation result to obtain the optimal estimate and iterative parameters. The noise filtering process is completed, providing guarantee for the widening construction of existing bridges.
[0037] In one embodiment of the present invention, the method further comprises: Continuous Fourier transform is used to perform data conversion processing on the noise-filtered data of the second bridge to obtain the bridge frequency domain data; The bridge frequency domain data is displayed in real time in the form of charts.
[0038] It can be understood that the data after Kalman filtering is time domain data, and then this time domain data is converted into frequency domain data through Fourier transformation again, and then the bridge frequency domain data is displayed in real time in the form of a chart to facilitate construction personnel to view.
[0039] The present invention provides guarantee for the widening construction of existing bridges by filtering and converting the collected data. It adopts continuous Fourier transform algorithm, continuous inverse Fourier transform algorithm and Kalman filter to filter noise and process the digital signal generated by bridge deck vibration, and displays the converted spectrum data in the form of charts on the display. It monitors and outputs the measurement data in real time and synchronously. Compared with traditional fixed sensors for monitoring bridge vibration, it greatly reduces the cost of vibration monitoring, and has low monitoring cost and high work efficiency.
[0040] In order to better implement the vibration measurement method for wet joints in the widening construction of an existing bridge in the embodiment of the present invention, based on the vibration measurement method for wet joints in the widening construction of an existing bridge, correspondingly, Figure 2 As shown, the embodiment of the present invention also provides a vibration measurement device 200 for wet joints in the widening construction of an existing bridge, comprising: A filter threshold determination module 201 is used to determine a filter threshold corresponding to vibration at a wet joint during widening construction of an existing bridge; The first data processing module 202 is used to collect bridge deck vibration data, and perform a first noise filtering process on the bridge deck vibration data based on the filtering threshold to obtain first bridge noise filtering data; The second data processing module 203 is used to perform a second noise filtering process on the first bridge noise filtered data based on Kalman filtering to obtain second bridge noise filtered data.
[0041] The vibration measurement device 200 for wet joints in the widening construction of an existing bridge provided in the above embodiment can implement the technical solution described in the above embodiment of the vibration measurement method for wet joints in the widening construction of an existing bridge. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above embodiment of the vibration measurement method for wet joints in the widening construction of an existing bridge, which will not be repeated here.
[0042] In one embodiment of the present invention, the data processing module specifically includes a three-axis acceleration sensor and a digital-to-analog converter; The three-axis acceleration sensor is specifically used to collect the corresponding analog voltage signal using the capacitor inside the three-axis acceleration sensor when the vibration of the bridge changes; The digital-to-analog converter is used to convert the analog voltage signal into a digital signal, and the digital signal is determined as bridge deck vibration data.
[0043] It is understandable that the measuring device, such as a smartphone, is equipped with a triaxial accelerometer. The internal capacitance of the triaxial accelerometer changes with the vibration of the bridge, sensing the magnitude and direction of the bridge vibration acceleration. The capacitance change is amplified by the circuit and converted into an analog voltage signal. For example, when measuring the vibration of the wet joint of the new and old bridges under different traffic restrictions, it is only necessary to place the measuring device at the edge of the wet joint. Figure 3As shown, Figure 3 A schematic diagram of a built-in three-axis accelerometer structure of a smart phone provided by an embodiment of the present invention. When the bridge vibrates, the built-in three-axis acceleration sensor senses the magnitude of the acceleration in the three directions of x, y, and z, and the gyroscope records the deflection angle of the mobile phone in this state to obtain an analog voltage signal, and the analog voltage signal is proportional to the acceleration of the bridge vibration; then the analog voltage signal is amplified, filtered and converted through an analog circuit to a digital signal, that is, an analog-to-digital converter is set inside the three-axis acceleration sensor, and the analog voltage signal is synchronously converted into a digital signal, and the bridge vibration data collection is completed.
[0044] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.
[0045] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.
Claims
1. A vibration measurement method for wet joints in widening construction of existing bridges, characterized in that: include: Determine the filtering threshold corresponding to vibration at wet joints during widening construction of existing bridges; Collecting bridge deck vibration data, and performing a first noise filtering process on the bridge deck vibration data based on the filtering threshold to obtain first bridge noise filtering data; The first bridge noise-filtered data is subjected to a second noise-filtering process based on Kalman filtering to obtain second bridge noise-filtered data.
2. The vibration measurement method for wet joints in widening construction of existing bridges according to claim 1 is characterized in that: The filtering threshold includes a first filtering threshold and a second filtering threshold; the determining of the filtering threshold corresponding to the vibration at the wet joint of the existing bridge widening construction includes: Acquire bridge parameters, perform numerical simulation on the bridge parameters, and obtain the first filtering threshold; Based on a preset anti-disturbance experiment, the second filtering threshold is obtained.
3. The vibration measurement method for wet joints in widening construction of existing bridges according to claim 2 is characterized in that: The bridge parameters include bridge length and cross-sectional dimensions, and the numerical simulation of the bridge parameters includes: If the difference between the bridge length and the cross-sectional size is not within a first preset range, numerically simulating the bridge parameters according to the Euler-Bernoulli beam theory; If the difference between the bridge length and the cross-sectional size is within a first preset range, numerical simulation of the bridge parameters is performed according to Timoshenko beam theory.
4. The vibration measurement method for wet joints in widening construction of existing bridges according to claim 3 is characterized in that: The bridge deck vibration data is time domain data, and filtering the bridge deck vibration data based on the filtering threshold to obtain first bridge noise-filtered data includes: Performing data conversion processing on the bridge deck vibration data by using continuous Fourier transform to obtain first bridge frequency domain data; The first bridge frequency domain data is filtered based on the filtering threshold to obtain first bridge noise-filtered data.
5. The vibration measurement method for wet joints in widening construction of existing bridges according to claim 4 is characterized in that: The filtering process of the first bridge frequency domain data based on the filtering threshold to obtain the first bridge noise-filtered data includes: The first filtering threshold is used as the upper limit of the filtering threshold, and the second filtering threshold is used as the lower limit of the filtering threshold, and the first bridge frequency domain data is filtered to obtain the first bridge noise-filtered data.
6. The vibration measurement method for wet joints in widening construction of existing bridges according to claim 5 is characterized in that: The first bridge noise-filtered data is frequency domain data, and the second noise-filtering processing based on Kalman filtering is performed on the first bridge noise-filtered data to obtain the second bridge noise-filtered data, including: Performing data inverse conversion processing on the noise-filtered data of the first bridge by using continuous inverse Fourier transform to obtain time domain data of the first bridge; A second noise filtering process is performed on the first bridge time domain data based on Kalman filtering to obtain second bridge noise filtered data.
7. The vibration measurement method for wet joints in widening construction of existing bridges according to claim 1 is characterized in that: The method further comprises: Using continuous Fourier transform to perform data conversion processing on the noise-filtered data of the second bridge to obtain bridge frequency domain data; The bridge frequency domain data is displayed in real time in the form of a chart.
8. A vibration measurement device for wet joints in widening construction of existing bridges, characterized in that: include: A filter threshold determination module, for determining a filter threshold corresponding to vibration at a wet joint in an existing bridge widening construction; A first data processing module is used to collect bridge deck vibration data, and perform a first noise filtering process on the bridge deck vibration data based on the filtering threshold to obtain first bridge noise filtering data; The second data processing module is used to perform a second noise filtering process on the first bridge noise filtered data based on Kalman filtering to obtain second bridge noise filtered data.
9. The vibration measuring device for wet joints in widening construction of existing bridges according to claim 8, characterized in that: The data processing module specifically includes a three-axis acceleration sensor and a digital-to-analog converter; The three-axis acceleration sensor is specifically used to collect the corresponding analog voltage signal using the capacitor inside the three-axis acceleration sensor when the vibration of the bridge changes; The digital-to-analog converter is used to convert the analog voltage signal into a digital signal, and determine the digital signal as the bridge deck vibration data.