Bridge deck elevation dynamic measurement system and method suitable for vehicle traffic conditions

Abstract

The present invention discloses a bridge deck elevation dynamic measurement system and method suitable for vehicle traffic conditions. The system comprises a high-precision dynamic level: arranged at key measuring points of the bridge, and used for real-time acquisition of bridge deck elevation data; a vibration sensor array: arranged at key measuring points of the bridge, and used for acquisition of bridge vibration signals caused by vehicle traffic, including acceleration, velocity and displacement information; a laser-assisted positioning module: used for positioning and correcting the spatial position of the observation point; a data acquisition and processing terminal: with a built-in dynamic error compensation module, an adaptive filtering module and a multi-source data fusion module, used for processing the acquired elevation data and vibration signals, and synchronously outputting high-precision bridge deck elevation measurement results.

Description

Technical Field

[0001] The present application relates to the technical field of bridge engineering detection, and in particular to a system and method for dynamically measuring bridge deck elevation under vehicle traffic conditions. Background Art

[0002] Bridge elevation measurement is an important part of bridge structure safety assessment, health monitoring and maintenance management, and is directly related to the assessment of the overall operation status of the bridge and the guarantee of its safety performance. Traditional elevation measurement is usually based on leveling and laser ranging technology, and needs to be carried out under static conditions to avoid dynamic interference caused by traffic flow. However, in actual engineering, bridges are usually in an open traffic state, and the vibration and load changes caused by vehicle traffic pose significant challenges to measurement accuracy and efficiency.

[0003] Traditional elevation measurement methods usually use second-class leveling observation or laser ranging technology. Although these methods have high accuracy, they are often required to be carried out under static conditions of the bridge, such as when the traffic is closed, to reduce the impact of dynamic interference on the measurement accuracy. However, in actual projects, many bridges are in high-traffic traffic environments. Closing traffic for elevation measurement not only affects the normal use of the bridge, but may also increase the economic cost and organizational difficulty of the project. In addition, under open traffic conditions, dynamic factors such as bridge vibration and load changes caused by vehicle traffic will significantly interfere with the stability of the measurement data, resulting in increased measurement errors. Existing methods are relatively insufficient in research and technical support for elevation measurement in dynamic environments, especially in vibration compensation, high-frequency data acquisition and real-time processing, where there are still technical gaps. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a dynamic measurement system and method for bridge deck elevation under vehicle traffic conditions, which solves the accuracy and efficiency problems of bridge deck elevation measurement under open traffic conditions through high-frequency dynamic acquisition, real-time compensation of vibration signals, laser-assisted positioning and multi-source data fusion technology, and provides reliable data support for bridge health monitoring.

[0005] In order to achieve the above-mentioned purpose, in a first aspect, the present invention provides a bridge deck elevation dynamic measurement system suitable for vehicle traffic conditions, comprising:

[0006] High-precision dynamic level: deployed at key measuring points on the bridge to collect bridge deck elevation data in real time;

[0007] Vibration sensor array: deployed at key measuring points on the bridge to collect bridge vibration signals caused by vehicle traffic, including acceleration, velocity and displacement information;

[0008] Laser-assisted positioning module: used to adjust the ruler position in real time based on the spatial position of the observation point;

[0009] Data acquisition and processing terminal: It has built-in dynamic error compensation module, adaptive filtering module and multi-source data fusion module, which are used to process the collected elevation data and vibration signals, and synchronously output high-precision bridge deck elevation measurement results.

[0010] Furthermore: The laser-assisted positioning module calculates the spatial position error through the three-point method , and according to the spatial position error Adjust the ruler position in real time to obtain position correction data;

[0011] Spatial position error The expression is:

[0012]

[0013] in, sqr (.) means taking the square root. is the theoretical position coordinate of the ruler, The actual measured position coordinates of the ruler.

[0014] Furthermore: the dynamic error compensation module performs correlation analysis based on the vibration signal collected by the vibration sensor array and the elevation data collected by the high-precision dynamic level, and dynamically compensates the bridge deck elevation. The expression is:

[0015]

[0016] in, is the bridge deck elevation after compensation. Elevation data collected by high-precision dynamic leveling instrument, is the elevation error calculated by the vibration sensor array based on the vibration signal, v ( t ) is the vibration speed, t Indicates the end time of collection. t 0 represents the start time of collection.

[0017] Furthermore: the adaptive filtering module removes the high-frequency vibration noise caused by vehicle traffic through frequency domain filtering, and its cutoff frequency The expression is:

[0018]

[0019] in, is the sampling frequency of the high-precision dynamic level, is the frequency range of vehicle vibration, and min(.) indicates the minimum value.

[0020] In a second aspect, the present invention provides a bridge deck elevation dynamic measurement method applicable to vehicle traffic conditions based on the first aspect, comprising:

[0021] S1. Deploy high-precision dynamic level and vibration sensor arrays at key measuring points on the bridge;

[0022] S2, collecting bridge deck elevation data and vibration signals respectively through a high-precision dynamic level and a vibration sensor array;

[0023] S3, spatially calibrate the key measuring points of the bridge through the laser-assisted positioning module to obtain position correction data;

[0024] S4, inputting the bridge deck elevation data and the vibration signal into the data acquisition and processing terminal, dynamically compensating the bridge deck elevation data, and eliminating vibration interference to obtain processed bridge deck elevation data;

[0025] S5. Perform multi-source data fusion on the processed bridge deck elevation data and the position correction data, and output the bridge deck elevation distribution result according to the bridge deck elevation data after the source data fusion.

[0026] Further: The method of multi-source data fusion is:

[0027]

[0028] in, It is the bridge deck elevation data after fusion of multi-source data. The bridge deck elevation data collected by the high-precision dynamic level. is the position correction data, α is the weight coefficient.

[0029] Further: Weight coefficient α The comprehensive calculation formula is:

[0030]

[0031] in, is the accuracy of the dynamic level, is the accuracy of the laser positioning module, >0 is the dynamic sensitivity adjustment coefficient, is the bridge vibration intensity, is the environmental weight adjustment factor, >0 is the signal interference sensitivity adjustment coefficient, It is the signal strength of the laser-assisted positioning module.

[0032] Further: The bridge deck elevation distribution results include:

[0033] Elevation change trend chart: used to show the elevation change of the bridge deck over time;

[0034] Anomaly elevation point marking: used to locate areas where potential safety hazards may exist.

[0035] The beneficial effects of the present invention are:

[0036] The present invention realizes dynamic and high-precision measurement of bridge deck elevation, effectively solves the problems of low efficiency and large error in traditional elevation measurement under vehicle traffic conditions, and provides strong technical support for bridge health monitoring and scientific maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a framework diagram of the bridge deck elevation dynamic measurement system suitable for vehicle traffic conditions.

[0038] Figure 2 The figure is a flow chart of the dynamic measurement method of bridge deck elevation suitable for vehicle traffic conditions. DETAILED DESCRIPTION

[0039] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0040] like Figure 1 As shown, in one embodiment of the present invention, a bridge deck elevation dynamic measurement system suitable for vehicle traffic conditions is provided, comprising:

[0041] High-precision dynamic level: deployed at key measuring points on the bridge to collect bridge deck elevation data in real time;

[0042] Vibration sensor array: deployed at key measuring points on the bridge to collect bridge vibration signals caused by vehicle traffic, including acceleration, velocity and displacement information;

[0043] Key measurement points of bridges include the mid-span, bearings, bridge deck, the connection between piers and main beams, and the bridgehead and bridge tail to ensure that the dynamic response data of the bridge under vehicle loads can be fully and accurately collected;

[0044] Laser-assisted positioning module: used to position and correct the spatial position of the observation point;

[0045] Data acquisition and processing terminal: It has built-in dynamic error compensation module, adaptive filtering module and multi-source data fusion module, which are used to process the collected elevation data and vibration signals, and synchronously output high-precision bridge deck elevation measurement results.

[0046] like Figure 2As shown, the present application also provides a bridge deck elevation dynamic measurement method based on the above system, including: S1, arranging a high-precision dynamic level and a vibration sensor array at key measuring points of the bridge;

[0047] S2, collecting bridge deck elevation data and vibration signals respectively through a high-precision dynamic level and a vibration sensor array;

[0048] S3, spatially calibrate the key measuring points of the bridge through the laser-assisted positioning module to obtain position correction data;

[0049] S4, inputting the bridge deck elevation data and the vibration signal into the data acquisition and processing terminal, dynamically compensating the bridge deck elevation data, and eliminating vibration interference to obtain processed bridge deck elevation data;

[0050] S5. Perform multi-source data fusion on the processed bridge deck elevation data and the position correction data, and output the bridge deck elevation distribution result according to the bridge deck elevation data after the source data fusion.

[0051] In this embodiment, according to the structural characteristics of the bridge, the middle of the bridge span, the support points and the abutments are selected as key measuring points to ensure that the measuring points are evenly distributed and cover the entire bridge area, and to ensure that the sampling frequency of the high-precision dynamic level is greater than or equal to 10 Hz.

[0052] Specifically, the laser-assisted positioning module calculates the spatial position error through the three-point method , and according to the spatial position error Adjust the ruler position in real time to obtain position correction data;

[0053] Spatial position error The expression is:

[0054]

[0055] in, sqr (.) means taking the square root. is the theoretical position coordinate of the ruler, The actual measured position coordinates of the ruler.

[0056] The dynamic error compensation module performs correlation analysis based on the vibration signal collected by the vibration sensor array and the elevation data collected by the high-precision dynamic level, and dynamically compensates the bridge deck elevation. The expression is:

[0057]

[0058] in, is the bridge deck elevation after compensation. Elevation data collected by high-precision dynamic leveling instrument, is the elevation error calculated by the vibration sensor array based on the vibration signal, v ( t ) is the vibration speed, t Indicates the end time of collection. t 0 represents the start time of collection.

[0059] The method of multi-source data fusion is:

[0060]

[0061] in, It is the bridge deck elevation data after fusion of multi-source data. The bridge deck elevation data collected by the high-precision dynamic level. is the position correction data, α is the weight coefficient, which is dynamically adjusted according to the measurement accuracy of the equipment and environmental conditions to ensure the final fusion of elevation data Accuracy and stability;

[0062] The purpose of multi-source data fusion is to merge elevation data from different sources (such as elevation data measured by a dynamic level and reference elevation data from a laser-assisted positioning module) into a unified and accurate elevation dataset.

[0063] α The specific value method of is considered:

[0064] The value based on the measurement accuracy of the equipment, that is, the weight coefficient preset when the system is deployed:

[0065]

[0066] in, is the accuracy of the dynamic level, is the accuracy of the laser positioning module;

[0067] Dynamic adjustment based on environmental conditions: Under different environmental conditions, the reliability of equipment measurement may be disturbed, and the weight coefficient needs to be dynamically adjusted according to environmental parameters α , which includes:

[0068] Adjustments affected by vibration intensity:

[0069]

[0070] in, >0 is the dynamic sensitivity adjustment coefficient, is the vibration intensity of the bridge, that is, the root mean square value of the acceleration in the vibration signal;

[0071] when When the level is higher than the normal range, the dynamic level data is greatly affected by vibration and needs to be reduced.α value;

[0072] when When the water level is lower than the normal range, the dynamic level data is more reliable and needs to be increased. α value;

[0073] Affected by signal interference:

[0074]

[0075] in, >0 is the signal interference sensitivity adjustment coefficient, The signal strength of the laser-assisted positioning module;

[0076] when When the signal is below the threshold, that is, when the signal interference is serious, increase α value;

[0077] when When the signal is above the threshold, that is, clear and stable, reduce α value;

[0078] In summary, the weight coefficient α The comprehensive calculation formula is:

[0079]

[0080] in, It is the environmental weight adjustment factor, which is affected by the vibration intensity and signal interference.

[0081] Specifically, the adaptive filtering module removes the high-frequency vibration noise caused by vehicle traffic through frequency domain filtering, and its cutoff frequency The expression is:

[0082]

[0083] in, is the sampling frequency of the high-precision dynamic level, is the frequency range of vehicle vibration, min(.) means taking the minimum value;

[0084] The frequency analysis method is to convert the time domain signal into the frequency domain signal through Fourier transform (FFT), so as to identify the intensity of different frequency components in the signal. In bridge vibration monitoring, the frequency range of vibration caused by the vehicle can be identified by analyzing the spectrum of the vibration signal. , and determine the appropriate filter cutoff frequency based on this range ,Through frequency analysis, high-frequency noise can be effectively removed and useful low-frequency vibration information can be retained, thus achieving accurate processing and compensation of vibration signals.

[0085] In particular, the bridge deck elevation distribution result map is drawn according to the compensated elevation, and the elevation distribution results and dynamic change trends are stored in the database to generate a bridge status assessment report to provide a basis for subsequent maintenance. The bridge deck elevation distribution results include:

[0086] Elevation change trend chart: used to show the elevation change of the bridge deck over time;

[0087] Anomaly elevation point marking: used to locate areas where potential safety hazards may exist.

[0088] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A dynamic bridge deck elevation measurement system suitable for vehicle traffic conditions, characterized in that: include: High-precision dynamic level: deployed at key measuring points on the bridge to collect bridge deck elevation data in real time; Vibration sensor array: deployed at key measuring points on the bridge to collect bridge vibration signals caused by vehicle traffic, including acceleration, velocity and displacement information; Laser-assisted positioning module: used to position and correct the spatial position of key measuring points of the bridge; Data acquisition and processing terminal: built-in dynamic error compensation module, adaptive filtering module and multi-source data fusion module, used to process the collected elevation data and vibration signals, and synchronously output high-precision bridge deck elevation measurement results; The dynamic error compensation module performs correlation analysis based on the vibration signal collected by the vibration sensor array and the elevation data collected by the high-precision dynamic level, and dynamically compensates the bridge deck elevation. The expression is: in, is the bridge deck elevation after compensation. Elevation data collected by high-precision dynamic leveling instrument, is the elevation error calculated by the vibration sensor array based on the vibration signal, v ( t ) is the vibration speed, t Indicates the end time of collection. t 0 represents the start time of collection; The fusion method of the multi-source data fusion module is: in, It is the bridge deck elevation data after fusion of multi-source data. is the processed bridge deck elevation data, is the position correction data, α is the weight coefficient; Weight coefficient α The comprehensive calculation formula is: in, is the accuracy of the dynamic level, is the accuracy of the laser positioning module, >0 is the dynamic sensitivity adjustment coefficient, is the bridge vibration intensity, is the environmental weight adjustment factor, >0 is the signal interference sensitivity adjustment coefficient, It is the signal strength of the laser-assisted positioning module.

2. The bridge deck elevation dynamic measurement system suitable for vehicle traffic conditions according to claim 1 is characterized in that: The laser-assisted positioning module calculates the spatial position error using the three-point method , and according to the spatial position error Adjust the ruler position in real time to obtain position correction data; Spatial position error The expression is: in, sqr (.) means taking the square root. is the theoretical position coordinate of the ruler, The actual measured position coordinates of the ruler.

3. The bridge deck elevation dynamic measurement system suitable for vehicle traffic conditions according to claim 1 is characterized in that: The adaptive filtering module removes the high-frequency vibration noise caused by vehicle traffic through frequency domain filtering. The expression is: in, is the sampling frequency of the high-precision dynamic level, is the frequency range of vehicle vibration, and min(.) indicates the minimum value.

4. A method for dynamically measuring bridge deck elevation under vehicle traffic conditions, implemented based on a system for dynamically measuring bridge deck elevation under vehicle traffic conditions as claimed in any one of claims 1 to 3, characterized in that: include: S1. Deploy high-precision dynamic level and vibration sensor arrays at key measuring points on the bridge; S2, collecting bridge deck elevation data and vibration signals respectively through a high-precision dynamic level and a vibration sensor array; S3, spatially calibrate the key measuring points of the bridge through the laser-assisted positioning module to obtain position correction data; S4, inputting the bridge deck elevation data and the vibration signal into the data acquisition and processing terminal, dynamically compensating the bridge deck elevation data, and eliminating vibration interference to obtain processed bridge deck elevation data; S5. Perform multi-source data fusion on the processed bridge deck elevation data and the position correction data, and output the bridge deck elevation distribution result according to the bridge deck elevation data after the source data fusion.

5. The method for dynamic measurement of bridge deck elevation under vehicle traffic conditions according to claim 4 is characterized in that: The method of multi-source data fusion is: in, It is the bridge deck elevation data after fusion of multi-source data. is the processed bridge deck elevation data, is the position correction data, α is the weight coefficient.

6. The method for dynamic measurement of bridge deck elevation under vehicle traffic conditions according to claim 4, characterized in that: The bridge deck elevation distribution results include: Elevation change trend chart: used to show the elevation change of the bridge deck over time; Anomaly elevation point marking: used to locate areas where potential safety hazards may exist.

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