State monitoring method for bridge structure

Abstract

The invention discloses a state monitoring method for a bridge structure, and belongs to the technical field of bridge measurement and monitoring, and the method comprises the steps: obtaining an original data set of the inclination angle of a bridge main tower and the tension of an inhaul cable, analyzing a signal time feature representation factor, and carrying out the linear interpolation adjustment information judgment; and based on the original data set, analyzing an inhaul cable tension update value, then analyzing an inhaul cable tension residual error and an interpolation adjustment effect label, and carrying out signal reconstruction effect judgment. According to the method, the bridge structure can be continuously monitored, linear interpolation adjustment information is carried out by analyzing signal time characteristic characterization factors, whether adjustment is carried out or not is judged, calculation power waste is avoided, and the inhaul cable tension is aligned with a main tower inclination timestamp by analyzing inhaul cable tension update values through linear interpolation adjustment. A stay cable tension update value is analyzed to eliminate a cross-sensor clock asynchronous error, signals are classified by analyzing a frequency coherence factor, mutual interference of different frequency components in broadband signals is avoided through classification processing, and the structural health monitoring precision is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of measurement and monitoring technology, and in particular to a condition monitoring method for a bridge structure. Background Art

[0002] Throughout their service life, bridges are subject to the adverse effects of the environment, traffic, and other factors. After long-term operation, their materials inevitably degrade, leading to varying degrees of damage and degradation in various structural components. In recent years, bridge structural condition monitoring methods based on sensor technology, signal processing, and intelligent algorithms have rapidly developed. Sensors such as fiber optic sensors, strain gauges, and accelerometers enable real-time acquisition of structural responses; techniques such as vibration analysis and modal identification assess structural dynamic characteristics; and machine learning and deep learning algorithms can mine data features to predict structural damage trends.

[0003] For example, the invention patent announcement with announcement number: CN118758377B discloses a bridge structure health monitoring and early warning system, which includes: by deploying a variety of high-precision sensors and advanced monitoring equipment, it can fully cover all key structures of the bridge, thereby ensuring real-time, accurate and comprehensive grasp of the health status of the bridge, which not only improves the accuracy and reliability of the data, but also lays a solid foundation for subsequent early warning and maintenance work. It fully considers the uniqueness and differences of each bridge, and sets personalized safety thresholds and early warning levels based on the actual situation and historical data of the bridge, which can more accurately reflect the unique health status of each bridge in the city, thereby improving the pertinence and effectiveness of the early warning.

[0004] For example, the invention patent with announcement number CN107687872B discloses a bridge structure health status monitoring method and system based on dynamic model updating, which includes: obtaining sensor data of the main part of the bridge structure based on a distributed computing method; performing modal identification based on the acquired sensor data to obtain corresponding modal parameters; the modal parameters include eigenfrequency and vibration mode of the corresponding order; updating the benchmark model equation of the bridge structure constructed based on the Bayesian principle according to the obtained modal parameters to obtain the error value of the updated model equation; analyzing and judging the error value to obtain the health monitoring status of the bridge structure.

[0005] However, in the process of implementing the technical solutions of the embodiments of the present application, the present application discovered that the above technology has at least the following technical problems: Due to hardware clock differences or data transmission delays, various sensors may experience asynchrony in the timestamps of collected data. This problem will invalidate the time alignment of cross-sensor data, leading to errors in timing correlation analysis under critical working conditions. In severe cases, it may mask subtle damage signals in the early stages of the structure. At the same time, in traditional signal processing processes, due to the lack of a targeted retention mechanism for high-frequency signal frequency band energy, when filtering, interpolation and other processing are performed, it is very easy to cause the loss of high-frequency effective information containing structural dynamic characteristics. This loss of information will lead to a decrease in the monitoring system's ability to identify early faults such as abnormal structural vibration and local fatigue damage. Summary of the Invention

[0006] The present invention provides a condition monitoring method for a bridge structure, comprising the following steps: continuously monitoring the bridge structure, obtaining original data sets of the inclination angle of the bridge main tower and the tension of the bridge cables, analyzing the signal time characteristic characterization factor, and performing linear interpolation adjustment information judgment.

[0007] When the linear interpolation adjustment information determines that linear interpolation adjustment is required, the cable tension update value is analyzed based on the original data set of the bridge main tower inclination angle and the bridge cable tension.

[0008] Analyze the cable tension residual and the interpolation adjustment effect label to determine the need for quadratic linear interpolation adjustment execution.

[0009] Receive the linear interpolation adjustment completion signal, analyze the frequency band energy fidelity, and make a valid judgment on the high-frequency signal data. Analyze the signal reconstruction requirement information and make a judgment on the signal reconstruction effect after receiving the signal reconstruction completion information.

[0010] Furthermore, the signal time characteristic characterization factors are analyzed. The specific analysis method is as follows: The timestamp column of the bridge main tower inclination angle and the timestamp column of the bridge cable tension are obtained from the original data sets of the bridge main tower inclination angle and the bridge cable tension, and the data signal time representation parameters are obtained by analysis.

[0011] The time characterization parameters of the data signal include sampling rate difference, signal cross-correlation coefficient and signal amplitude change rate difference.

[0012] The time characteristic characterization factor is analyzed according to the time characterization parameters of the data signal.

[0013] The signal time characteristic characterization factor is a quantitative indicator of the signal time characteristic difference, which is a combination of the signal cross-correlation coefficient, the signal amplitude change rate difference, and the sampling rate difference. The specific analysis process is as follows: the collected signal cross-correlation coefficient, the signal amplitude change rate difference, and the sampling rate difference are compared with the corresponding reference values ​​respectively, and the comparison results are coupled with the corresponding measurement factors to obtain the signal time characteristic characterization factor.

[0014] Furthermore, the linear interpolation adjustment information is determined, and the specific analysis process is as follows: Extract the signal time feature characterization factor threshold preset in the database.

[0015] If the signal time characteristic characterization factor is less than the signal time characteristic characterization factor threshold, the linear interpolation adjustment information determination result is recorded as the required linear interpolation adjustment.

[0016] If the signal time characteristic characterization factor is greater than or equal to the signal time characteristic characterization factor threshold, the linear interpolation adjustment information determination result is recorded as no linear interpolation adjustment is required.

[0017] Furthermore, the updated value of the cable tension is analyzed. The specific analysis process is as follows: The timestamp column of the bridge main tower tilt angle is clustered according to the preset cluster in the database, and the time cluster corresponding to the maximum tilt angle is obtained and recorded as the target time cluster.

[0018] Within the target time cluster, the peak of the target time cluster is recorded as the main tower tilt angle timestamp reference point.

[0019] In the timestamp sequence of bridge cable tension, two tension data timestamps adjacent to the main tower inclination angle timestamp reference point are extracted and recorded as the preceding point and the succeeding point respectively, thereby obtaining the time interval length radius.

[0020] Gets the time interval length based on the time interval length radius.

[0021] Extract the cable tension values ​​corresponding to the preceding and succeeding points.

[0022] The timestamp deviation factor is obtained by subtracting the timestamp reference point of the main tower tilt angle from the subsequent point.

[0023] The time scale coefficient is obtained based on the timestamp deviation factor and the time interval length analysis.

[0024] The total value of the cable tension data is obtained by analyzing the preceding point value and the following point value of the cable tension data.

[0025] The total value of the cable tension data is combined with the time scale coefficient to obtain the updated value of the cable tension.

[0026] Furthermore, the interpolation adjustment effect label is analyzed to determine the execution requirements of the quadratic linear interpolation adjustment. The specific analysis process is as follows: Two adjacent timestamp values ​​of the cable tension update value are extracted from the original data set, and then the corresponding timestamps are extracted within the time interval length, which are recorded as the first preceding point and the first succeeding point respectively.

[0027] The cable tension update value is subtracted from the first preceding point value and the first succeeding point value, respectively, to obtain the first preceding point value cable tension update difference and the first succeeding point value, respectively.

[0028] If the absolute value of the cable tension update difference of the first preceding point value is less than or equal to the first succeeding point value, the absolute value of the cable tension update difference of the first preceding point value is recorded as the timestamp point corresponding to the cable tension update value.

[0029] If the absolute value of the cable tension update difference of the first preceding point value is greater than the first succeeding point value, the cable tension update difference of the first succeeding point value is recorded as the timestamp point corresponding to the cable tension update value.

[0030] The cable tension timestamp residual is obtained by subtracting the timestamp reference point of the main tower inclination angle from the timestamp point corresponding to the cable tension update value.

[0031] Extract the cable tension timestamp residual intervals stored in the database.

[0032] If the cable tension timestamp residual is less than the lower limit of the cable tension timestamp residual interval, the interpolation adjustment effect is recorded as a successful adjustment, and the quadratic linear interpolation adjustment execution requirement is recorded as no quadratic linear interpolation adjustment is required, and a linear interpolation adjustment completion signal is generated synchronously.

[0033] If the cable tension timestamp residual is within the cable tension timestamp residual interval, the interpolation adjustment effect is recorded as effective adjustment, and the quadratic linear interpolation adjustment execution requirement is recorded as required quadratic linear interpolation adjustment.

[0034] If the cable tension timestamp residual is greater than the upper limit of the cable tension timestamp residual interval, the interpolation adjustment effect is recorded as an adjustment abnormality, and the quadratic linear interpolation adjustment execution requirement is recorded as no quadratic linear interpolation adjustment is required, and an early warning message is generated simultaneously.

[0035] Further, the quadratic linear interpolation adjustment, the specific analysis process is as follows: The difference between the timestamp point corresponding to the updated cable tension value and the timestamp reference point of the main tower inclination angle is processed and recorded as the time proportion correction deviation coefficient.

[0036] The quadratic linear interpolation adjustment direction is analyzed based on the time proportion correction deviation coefficient.

[0037] If the adjustment direction is forward, the timestamp point corresponding to the cable tension update value is subtracted from the cable tension timestamp residual and linear interpolation adjustment is performed again.

[0038] If the adjustment direction is backward, the timestamp point corresponding to the cable tension update value is added to the cable tension timestamp residual and linear interpolation adjustment is performed again.

[0039] After the adjustment, the cable tension timestamp residual is re-obtained. If the re-obtained cable tension timestamp residual is greater than or equal to the lower limit of the cable tension timestamp residual interval, an early warning message is generated.

[0040] If the reacquired cable tension timestamp residual is less than the cable tension timestamp residual lower limit, a linear interpolation adjustment completion signal is generated.

[0041] Furthermore, the frequency band energy fidelity is analyzed. The specific analysis process is as follows: After receiving the linear interpolation adjustment completion signal, key frequency band signal quality data is collected, including frequency band energy concentration, signal-to-noise ratio, and bandwidth ratio.

[0042] Analyze frequency band energy fidelity based on key frequency band signal quality data.

[0043] Frequency band energy fidelity is a quantitative indicator of the proportion of key frequency band energy in the signal, which is jointly calculated by frequency band energy concentration, signal-to-noise ratio, and bandwidth ratio. The specific analysis process is as follows: the collected frequency band energy concentration, signal-to-noise ratio, and bandwidth ratio are compared with the corresponding reference values, and the comparison results are coupled with the corresponding measurement factors to obtain the frequency band energy fidelity.

[0044] Furthermore, the high-frequency signal data is effectively judged, and the signal reconstruction requirement information is analyzed. The specific analysis process is as follows: Extract the frequency band energy fidelity threshold stored in the database.

[0045] If the frequency band energy fidelity is greater than or equal to the frequency band energy fidelity threshold, the high-frequency signal data is effectively determined to be recorded as valid data, and the signal reconstruction requirement information is recorded as no signal reconstruction adjustment is required.

[0046] If the frequency band energy fidelity is less than the frequency band energy fidelity threshold, the high-frequency signal data validity determination is recorded as invalid data, and the signal reconstruction requirement information is recorded as the required signal reconstruction adjustment.

[0047] Furthermore, the signal reconstruction and adjustment are required. The specific adjustment process is as follows: After completing the linear interpolation adjustment, the bridge main tower inclination angle and bridge cable tension signals are continuously collected within the preset time window, and the average frequency coherence factor is analyzed.

[0048] The frequency coherence factor threshold stored in the database is extracted.

[0049] If the frequency coherence factor is greater than or equal to the frequency coherence factor threshold, the spectrum is divided into a plurality of sub-bands to generate a composite signal containing all key frequency bands.

[0050] If the frequency coherence factor is less than the frequency coherence factor threshold, the frequency coherence factor is subtracted from the frequency coherence factor threshold to obtain a frequency coherence deviation score.

[0051] The frequency coherence first adjustment value corresponding to each frequency coherence deviation score interval stored in the database is extracted, and the frequency coherence first adjustment value corresponding to the interval in which the frequency coherence deviation score is located is mapped and recorded as the frequency coherence first adjustment value of the bridge structure.

[0052] The frequency-coherent first adjustment value of the bridge structure is a bandwidth adjustment value.

[0053] Extract the current frequency-coherent first adjustment value.

[0054] The demand signal is reconstructed and adjusted according to the current frequency-coherent first adjustment value and the frequency-coherent first adjustment value of the bridge structure.

[0055] Furthermore, the signal reconstruction effect is determined. The specific analysis steps are as follows: The energy fidelity of the analyzed frequency band after reconstruction is recorded as the first frequency band energy fidelity.

[0056] A frequency band energy fidelity correction factor is extracted based on the first frequency band energy fidelity.

[0057] A first frequency band energy fidelity correction index is obtained based on the first frequency band energy fidelity and the frequency band energy fidelity correction factor.

[0058] If the first frequency band energy fidelity correction index is greater than or equal to the frequency band energy fidelity threshold, the signal reconstruction effect is recorded as a valid reconstruction.

[0059] If the first frequency band energy fidelity correction index is less than the frequency band energy fidelity threshold, the signal reconstruction effect is recorded as invalid reconstruction and a warning message is generated.

[0060] One or more technical solutions provided in the present invention have at least the following technical effects or advantages: 1. The present invention provides a condition monitoring method for bridge structures, which can continuously monitor bridge structures, perform linear interpolation adjustment information by analyzing signal time characteristic characterization factors to determine whether to make adjustments, thereby avoiding waste of computing power, align the cable tension with the main tower tilt timestamp through linear interpolation adjustment, analyze the cable tension update value to eliminate cross-sensor clock asynchronous errors, verify the linear interpolation adjustment effect by analyzing the cable tension residual and perform secondary adjustment, dynamically correct errors, and improve data accuracy, perform signal reconstruction requirement information by analyzing frequency band energy fidelity to determine whether the signal is valid data, thereby avoiding waste of resources, and classify and process the signal by analyzing the frequency coherence factor. The classification processing avoids mutual interference of different frequency components in the wide-band signal, thereby significantly improving the accuracy of structural health monitoring.

[0061] 2. This invention verifies the effectiveness of linear interpolation adjustments by analyzing cable tension residuals and performing secondary adjustments. This dynamically quantifies the accuracy deviation of interpolation adjustments, thereby improving the time synchronization accuracy of cross-sensor data. Specifically, a residual interval determination mechanism accurately identifies the adjustment status: when the residual is less than a threshold, the adjustment is confirmed to be successful and a completion signal is generated; when the residual is within the interval, a secondary correction is initiated to further reduce timestamp deviation; and when the residual exceeds the limit, an immediate abnormality warning is issued. This preserves the temporal characteristics of abnormal structural vibration, avoids distortion of early damage signals caused by clock asynchrony, and provides more reliable and accurate temporal correlation data for bridge condition monitoring.

[0062] 3. The present invention uses frequency band energy fidelity to screen frequency bands with sufficient energy in key frequency bands in signal reconstruction, ensuring that what is identified is the true dynamic response of the structure rather than noise or interference, ensuring data validity from the source, and dividing the input and output signals into two categories for targeted processing through frequency coherence factors to improve signal validity and accuracy, ensuring that the key frequency band energy retention of high-correlation frequency bands is maximized, and optimizing low-coherence frequency bands to avoid noise accumulation interference. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 A flow chart of a condition monitoring method for a bridge structure provided in an embodiment of the present application.

[0064] Figure 2 This is a diagram of the arrangement of measuring points for the main beam inclination angle of a condition monitoring method for a bridge structure provided in an embodiment of the present application.

[0065] Figure 3 A software system display interface for a bridge structure condition monitoring method provided in an embodiment of the present application.

[0066] Figure 4 A flow chart of a condition monitoring method for a bridge structure provided in an embodiment of the present application.

[0067] Figure 5 A flow chart of the quadratic linear regulation provided in an embodiment of the present application. DETAILED DESCRIPTION

[0068] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0069] like Figure 4 As shown, an embodiment of the present application provides a flowchart of a condition monitoring method for a bridge structure, which includes first performing a linear interpolation adjustment information judgment, analyzing the cable tension update value if linear interpolation adjustment is required, then analyzing the cable tension residual, analyzing the interpolation adjustment effect label, thereby judging the execution requirement of the quadratic linear interpolation adjustment, and then performing a valid judgment of the high-frequency signal data, analyzing the signal reconstruction requirement information to judge the signal reconstruction effect.

[0070] Reference Figure 1 As shown, the present invention provides a condition monitoring method for a bridge structure, comprising the following steps: continuously monitoring the bridge structure, obtaining original data sets of the inclination angle of the bridge main tower and the tension of the bridge cable, analyzing the signal time characteristic characterization factor, and thereby performing linear interpolation adjustment information judgment.

[0071] Furthermore, the signal time characteristic characterization factors are analyzed. The specific analysis method is as follows: The timestamp column of the bridge main tower inclination angle and the timestamp column of the bridge cable tension are obtained from the original data sets of the bridge main tower inclination angle and the bridge cable tension, and the data signal time representation parameters are obtained by analysis.

[0072] The time characterization parameters of the data signal include sampling rate difference, signal cross-correlation coefficient and signal amplitude change rate difference.

[0073] It should be noted that the sampling rate difference is the difference in the time axis resolution of the tilt angle and the cable tension. The sampling rate difference is obtained by collecting the frequency parameters of the tilt angle and the cable tension and performing difference processing. The signal amplitude change rate difference quantifies the difference in the dynamic response speed of the two signals, and the signal correlation coefficient quantifies the time correlation between the two signals.

[0074] It should be noted that the sampling rate difference is obtained by performing a reciprocal operation on the time interval between the two signal timestamps and then performing the subtraction. The signal correlation coefficient evaluates the linkage between the two signals (inclination angle and cable tension) through the Pearson coefficient. The specific process is: first read the timestamp, the main tower inclination angle and the main beam cable tension, then calculate the time interval and sampling rate, and finally calculate the Pearson correlation coefficient. In a specific embodiment, the calculation formula can be: , where P represents the signal correlation coefficient, n represents the number of signals, and i represents the signal number, i=1,2,3,...,n,x i represents the inclination angle of the i-th main tower, a represents the mean inclination angle of the main tower, y i represents the i-th cable tension, and b represents the mean cable tension.

[0075] The difference in the signal amplitude change rate can be obtained by calculating the amplitude difference between adjacent sampling points of the signal. It should be noted that when the sampling rate difference is large, the sampling point positions of the two signals in the time domain are quite different, which will cause the cross-correlation coefficient of the two signals to decrease. The large sampling rate difference will also make it impossible to accurately capture the rapid changes in amplitude, so that when calculating the difference in amplitude change rate, the difference between the two will increase.

[0076] The time characteristic characterization factor is analyzed according to the time characterization parameters of the data signal.

[0077] Extract the sampling rate difference measurement factor, signal cross-correlation coefficient measurement factor and signal amplitude change rate difference measurement factor preset in the database.

[0078] Extract the sampling rate difference reference value, signal cross-correlation coefficient reference value and signal amplitude change rate difference reference value preset in the database.

[0079] It should be added that the value ranges of the sampling rate difference measurement factor, the signal cross-correlation coefficient measurement factor and the signal amplitude change rate difference measurement factor are all from 0 to 1, and the sum of the sampling rate difference measurement factor, the signal cross-correlation coefficient measurement factor and the signal amplitude change rate difference measurement factor is 1. When used, the pre-set value can be directly extracted from the database. The specific extraction method is, for example: the sampling rate difference, the signal cross-correlation coefficient and the signal amplitude change rate difference are respectively mapped to the corresponding sampling rate difference measurement factor, the signal cross-correlation coefficient measurement factor and the signal amplitude change rate difference measurement factor to construct a one-to-one mapping set. When used, the real-time sampling rate difference, signal cross-correlation coefficient and signal amplitude change rate difference are respectively input into the corresponding mapping set, thereby extracting the sampling rate difference measurement factor, the signal cross-correlation coefficient measurement factor and the signal amplitude change rate difference measurement factor.

[0080] Extract the sampling rate difference reference value, signal cross-correlation coefficient reference value and signal amplitude change rate difference reference value preset in the database.

[0081] The signal time feature characterization factor is a quantitative indicator of the signal time feature difference, which is a combination of the signal cross-correlation coefficient, the signal amplitude change rate difference, and the sampling rate difference. The specific analysis process is as follows: the collected signal cross-correlation coefficient is ratioed with the corresponding reference value, and the reference values ​​corresponding to the signal amplitude change rate difference and the sampling rate difference are ratioed with the signal amplitude change rate difference and the sampling rate difference, respectively. The results of each ratio processing are coupled with the corresponding measurement factor to obtain the signal time feature characterization factor.

[0082] In a specific embodiment, the current signal time characteristic factor is specifically expressed as: , Among them, F x represents the time characteristic characterization factor of the current signal, I represents the sampling rate difference, I0 represents the sampling rate difference reference value, c represents the sampling rate difference measurement factor, Q represents the signal amplitude change rate difference, Q0 represents the signal amplitude change rate difference reference value, d represents the signal amplitude change rate difference measurement factor, P represents the signal cross-correlation coefficient, P0 represents the signal cross-correlation coefficient reference value, and s represents the signal cross-correlation coefficient measurement factor.

[0083] Furthermore, the linear interpolation adjustment information is determined, and the specific analysis process is as follows: Extract the signal time feature characterization factor threshold preset in the database.

[0084] If the signal time characteristic characterization factor is less than the signal time characteristic characterization factor threshold, the linear interpolation adjustment information determination result is recorded as the required linear interpolation adjustment.

[0085] If the signal time characteristic characterization factor is greater than or equal to the signal time characteristic characterization factor threshold, the linear interpolation adjustment information determination result is recorded as no linear interpolation adjustment is required.

[0086] It needs to be explained that if the signal time characteristic characterization factor is less than the signal time characteristic characterization factor threshold, it means that the signal time alignment state is poor and the time interval is uneven, which will lead to the inability to timely warn of abnormal conditions. At this time, linear interpolation adjustment is required to improve the signal time alignment accuracy and ensure the accuracy of signal processing and analysis.

[0087] If the signal time feature characterization factor is greater than or equal to the signal time feature characterization factor threshold, it indicates that the current signal time alignment state is good and the time intervals between the signal sampling points are uniform and stable. Then, the operation continues with the current data without the need for linear interpolation adjustment.

[0088] When the linear interpolation adjustment information determines that linear interpolation adjustment is required, the cable tension update value is analyzed based on the original data set of the bridge main tower inclination angle and the bridge cable tension.

[0089] Furthermore, the updated value of the cable tension is analyzed. The specific analysis process is as follows: Cluster the timestamp column of the bridge main tower tilt angle by hour, obtain the time cluster corresponding to the maximum tilt angle, and record it as the target time cluster.

[0090] Within the target time cluster, the peak of the target time cluster is recorded as the main tower tilt angle timestamp reference point.

[0091] In the timestamp sequence of bridge cable tension, two tension data timestamps adjacent to the main tower inclination angle timestamp reference point are extracted and recorded as the preceding point and the succeeding point respectively, thereby obtaining the time interval length.

[0092] It should be noted that the length of the time interval is specifically: the radius of the time interval length is obtained by subtracting the preceding point of the cable tension from the succeeding point of the cable tension.

[0093] Gets the time interval length based on the time interval length radius.

[0094] It should be noted that based on the radius of the time interval length, a circle is drawn with the preceding and succeeding points, and after intersecting with the timestamp sequence of the bridge cable tension, two tension data timestamps other than the preceding and succeeding points are obtained. The difference between the two timestamps is used to obtain the time interval length.

[0095] Extract the cable tension values ​​corresponding to the preceding and succeeding points.

[0096] The timestamp deviation factor is obtained by subtracting the timestamp reference point of the main tower tilt angle from the subsequent point.

[0097] The time scale coefficient is obtained based on the timestamp deviation factor and the time interval length analysis.

[0098] It should be noted that the time scale coefficient is obtained by ratioing the timestamp deviation factor to the time interval length.

[0099] The total value of the cable tension data is obtained by analyzing the preceding point value and the following point value of the cable tension data.

[0100] It should be noted that the total value of the cable tension data is obtained by subtracting the value of the preceding point of the cable tension data from the value of the succeeding point of the cable tension data.

[0101] The total value of the cable tension data is combined with the time scale coefficient to obtain the updated value of the cable tension.

[0102] It should be noted that the updated cable tension value is obtained by multiplying the total value of the cable tension data by the time proportional coefficient.

[0103] Analyze the cable tension residual and the interpolation adjustment effect label to determine the need for quadratic linear interpolation adjustment execution.

[0104] Furthermore, the specific analysis process is as follows: Two adjacent timestamp values ​​of the cable tension update value are extracted from the original data set, and then the corresponding timestamps are extracted within the time interval length, which are recorded as the first preceding point and the first succeeding point respectively.

[0105] The cable tension update value is subtracted from the first preceding point value and the first succeeding point value, respectively, to obtain the first preceding point value cable tension update difference and the first succeeding point value, respectively.

[0106] If the absolute value of the cable tension update difference of the first preceding point value is less than or equal to the first succeeding point value, the absolute value of the cable tension update difference of the first preceding point value is recorded as the timestamp point corresponding to the cable tension update value.

[0107] It should be noted that if the absolute value of the cable tension update difference of the first preceding point value is less than or equal to the first succeeding point value, it means that the cable tension update value is closer to the first preceding point value, which means that its cable tension timestamp is closer to the first preceding point, which can more accurately reflect the time-varying characteristics of the current tension. In this case, the first preceding point is preferentially selected as the timestamp point corresponding to the cable tension update value.

[0108] If the absolute value of the cable tension update difference of the first preceding point value is greater than the first succeeding point value, the cable tension update difference of the first succeeding point value is recorded as the timestamp point corresponding to the cable tension update value.

[0109] It should be noted that if the absolute value of the cable tension update difference of the first preceding point value is greater than the first succeeding point value, it means that the cable tension update value is closer to the first succeeding point value, which means that its cable tension timestamp is closer to the first succeeding point, which can more accurately reflect the time-varying characteristics of the current tension. In this case, the first succeeding point is preferentially selected as the timestamp point corresponding to the cable tension update value.

[0110] The cable tension timestamp residual is obtained by subtracting the timestamp reference point of the main tower inclination angle from the timestamp point corresponding to the cable tension update value.

[0111] Extract the cable tension timestamp residual intervals stored in the database.

[0112] If the cable tension timestamp residual is less than the lower limit of the cable tension timestamp residual interval, the interpolation adjustment effect is recorded as a successful adjustment, and the quadratic linear interpolation adjustment execution requirement is recorded as no quadratic linear interpolation adjustment is required, and a linear interpolation adjustment completion signal is generated synchronously.

[0113] It should be noted that if the cable tension timestamp residual is less than the lower limit of the cable tension timestamp residual interval, it means that the difference between the cable tension update value and the subsequent point value of the cable tension data obtained by linear interpolation is very small. The cable tension data has achieved good alignment and matching on the time axis, and can accurately reflect the actual tension changes of the cable, reaching a relatively ideal level. There is no need for quadratic linear interpolation adjustment, so the interpolation adjustment effect is recorded as a successful adjustment, and the quadratic linear interpolation adjustment execution requirement is recorded as no need for quadratic linear interpolation adjustment, and a linear interpolation adjustment completion signal is generated synchronously.

[0114] If the cable tension timestamp residual is within the cable tension timestamp residual interval, the interpolation adjustment effect is recorded as effective adjustment, and the quadratic linear interpolation adjustment execution requirement is recorded as required quadratic linear interpolation adjustment.

[0115] It should be noted that if the cable tension residual is within the cable tension residual interval, it means that the difference between the cable tension update value and the value of the subsequent point of the cable tension data obtained by linear interpolation is relatively large, indicating that the adjustment measures have produced a certain effect, which has reduced the cable tension residual, but has not yet reached the ideal state. At this time, quadratic linear interpolation adjustment is required to adjust the data more finely and further reduce the cable tension residual, thereby improving the accuracy and reliability of the cable tension data. Therefore, the interpolation adjustment effect is recorded as effective adjustment, and the quadratic linear interpolation adjustment execution requirement is recorded as required quadratic linear interpolation adjustment.

[0116] If the cable tension timestamp residual is greater than the upper limit of the cable tension timestamp residual interval, the interpolation adjustment effect is recorded as an adjustment abnormality, and the quadratic linear interpolation adjustment execution requirement is recorded as no quadratic linear interpolation adjustment is required, and an early warning message is generated simultaneously.

[0117] It should be noted that if the cable tension residual is greater than the upper limit of the cable tension residual interval, it means that the difference between the cable tension update value and the subsequent point value of the cable tension data obtained by linear interpolation is very large, indicating that the adjustment effect is not ideal and the data deviates from expectations. The abnormal data phenomenon may be caused by various factors, such as sensor failure, external interference, etc. Continuing to perform quadratic linear interpolation adjustment may not solve the problem. Therefore, the interpolation adjustment effect is recorded as an adjustment abnormality, and the quadratic linear interpolation adjustment execution requirement is recorded as no need for quadratic linear interpolation adjustment, and a warning information is generated simultaneously.

[0118] It should be added that, in this embodiment, the warning message may be: "Warning! An abnormality has occurred in the linear interpolation adjustment."

[0119] like Figure 5 As shown, the present application provides a flowchart of a quadratic linear adjustment according to an embodiment of the present application, which includes first performing difference processing on the timestamp point corresponding to the cable tension update value and the timestamp reference point of the main tower inclination angle, which is recorded as the time proportion correction deviation coefficient. The direction of the quadratic linear interpolation adjustment is analyzed according to the time proportion correction deviation coefficient. If the adjustment direction is forward, the timestamp point corresponding to the cable tension update value is subtracted from the cable tension timestamp residual and the linear interpolation adjustment is performed again. If the adjustment direction is backward, the timestamp point corresponding to the cable tension update value is added with the cable tension timestamp residual and the linear interpolation adjustment is performed again. After adjustment, the cable tension timestamp residual is re-obtained. If the re-obtained cable tension timestamp residual is greater than or equal to the lower limit of the cable tension timestamp residual interval, a warning message is generated. If the re-obtained cable tension timestamp residual is less than the lower limit of the cable tension timestamp residual, a linear interpolation adjustment completion signal is generated.

[0120] Further, the quadratic linear interpolation adjustment, the specific analysis process is as follows: The difference between the timestamp point corresponding to the updated cable tension value and the timestamp reference point of the main tower inclination angle is processed and recorded as the time proportion correction deviation coefficient.

[0121] The quadratic linear interpolation adjustment direction is analyzed based on the time proportion correction deviation coefficient.

[0122] It should be noted that if the time scale correction deviation coefficient is greater than zero, it means that the timestamp point corresponding to the cable tension update value is greater than the main tower tilt angle timestamp reference point. In this case, the timestamp point corresponding to the cable tension update value needs to be adjusted forward to bring it closer to the main tower tilt angle timestamp reference point. If the time scale correction deviation coefficient is less than zero, it means that the timestamp point corresponding to the cable tension update value is less than the main tower tilt angle timestamp reference point. In this case, the timestamp point corresponding to the cable tension update value needs to be adjusted backward to bring it closer to the main tower tilt angle timestamp reference point. If the time scale correction deviation coefficient is equal to zero, it means that the timestamp point corresponding to the cable tension update value is equal to the main tower tilt angle timestamp reference point. In this case, the timestamp point corresponding to the cable tension update value does not need to be adjusted.

[0123] If the adjustment direction is forward, the time scale correction deviation coefficient is subtracted from the timestamp point corresponding to the cable tension update value to obtain the cable tension correction residual value, and linear interpolation adjustment is performed again.

[0124] If the adjustment direction is backward, the time scale correction deviation coefficient is added to the timestamp point corresponding to the cable tension update value to obtain the cable tension correction residual value, and linear interpolation adjustment is performed again.

[0125] It should be noted that the re-linear interpolation adjustment is to process the difference between the values ​​of the subsequent point and the preceding point and the ratio of the difference between the subsequent point and the preceding point as the linear ratio of the cable tension.

[0126] The cable tension correction value is obtained by multiplying the cable tension correction residual value by the cable tension linear scale.

[0127] After the adjustment, the cable tension timestamp residual is re-obtained. If the re-obtained cable tension timestamp residual is greater than or equal to the lower limit of the cable tension timestamp residual interval, an early warning message is generated.

[0128] If the reacquired cable tension timestamp residual is less than the cable tension timestamp residual lower limit, a linear interpolation adjustment completion signal is generated.

[0129] If the re-acquired cable tension timestamp residual is greater than or equal to the lower limit of the cable tension timestamp residual interval, a warning message is generated.

[0130] It should be noted that if the re-acquired cable tension timestamp residual is greater than or equal to the lower limit of the cable tension timestamp residual interval, it means that the deviation between the timestamp corresponding to the cable tension correction value and the theoretical value or target value is still large, indicating that the quadratic linear interpolation adjustment has failed to effectively reduce the residual value to within the ideal range, the adjustment effect is poor, and the accuracy and reliability of the cable tension data still have problems, then a warning message is generated.

[0131] In this embodiment, the warning message may be: "Warning! Error in quadratic linear interpolation adjustment."

[0132] If the re-acquired cable tension timestamp residual is less than the cable tension residual lower limit, a linear interpolation adjustment completion signal is generated.

[0133] It should be noted that if the re-acquired cable tension timestamp residual is less than the lower limit of the cable tension timestamp residual, it means that the difference between the timestamp corresponding to the cable tension correction value and the main tower inclination angle timestamp reference point is small, indicating that the quadratic linear interpolation adjustment effect is good and the timestamp corresponding to the cable tension correction value has been adjusted to the ideal state. To ensure the reliability of subsequent data analysis and structural assessment, a linear interpolation adjustment completion signal should be generated at this time.

[0134] Receive the linear interpolation adjustment completion signal, analyze the frequency band energy fidelity, and make a valid judgment on the high-frequency signal data. Analyze the signal reconstruction requirement information and make a judgment on the signal reconstruction effect after receiving the signal reconstruction completion information.

[0135] This method verifies the effectiveness of linear interpolation adjustments by analyzing cable tension residuals and performing secondary adjustments. This method dynamically quantifies the accuracy deviation of interpolation adjustments, improving the time synchronization accuracy of cross-sensor data. Specifically, a residual interval determination mechanism accurately identifies the adjustment status: when the residual is less than a threshold, the adjustment is confirmed successful and a completion signal is generated; when the residual is within the interval, a secondary correction is initiated to further reduce timestamp deviation; and when the residual exceeds the limit, an immediate anomaly warning is issued. This method preserves the temporal characteristics of abnormal structural vibration, avoids distortion of early damage signals caused by clock asynchrony, and provides more reliable and accurate temporal correlation data for bridge condition monitoring.

[0136] Furthermore, the frequency band energy fidelity is analyzed. The specific analysis process is as follows: After receiving the linear interpolation adjustment completion signal, key frequency band signal quality data is collected, including frequency band energy concentration, signal-to-noise ratio, and bandwidth ratio.

[0137] It should be noted that the frequency band energy concentration can be obtained by using the Fourier transform time-frequency analysis method to map the signal to the time-frequency domain and calculate the energy proportion of each frequency component.

[0138] The signal-to-noise ratio is obtained by converting the signal into the frequency domain through Fourier transform, calculating the power spectral density of the signal and the power spectral density of the noise, and then finding their ratio, which is the signal-to-noise ratio.

[0139] The bandwidth ratio is obtained by Fourier transforming the signal spectrum, determining the main energy distribution range of the signal, that is, the bandwidth, and then comparing it with the width of the entire spectrum or a reference bandwidth to obtain the bandwidth ratio.

[0140] It should be noted that the higher the frequency band energy concentration, the more concentrated the signal energy is within a specific frequency band, the less interference there will be from noise, and the signal-to-noise ratio will usually increase accordingly. A narrower frequency bandwidth means that the signal energy is more concentrated, and the impact of noise is relatively small, thereby improving the signal-to-noise ratio. When the signal energy is concentrated within a smaller frequency band, its frequency bandwidth is naturally relatively narrow.

[0141] Analyze frequency band energy fidelity based on key frequency band signal quality data.

[0142] Extract the frequency band energy concentration measurement factor, signal-to-noise ratio measurement factor and bandwidth ratio measurement factor preset in the database.

[0143] The reference values ​​corresponding to the frequency band energy concentration, the reference values ​​corresponding to the signal-to-noise ratio, and the reference values ​​corresponding to the bandwidth ratio preset in the database are extracted.

[0144] It should be added that the value range of the frequency band energy concentration measurement factor, the signal-to-noise ratio measurement factor and the frequency bandwidth ratio measurement factor are all from 0 to 1, and the sum of the frequency band energy concentration measurement factor, the signal-to-noise ratio measurement factor and the frequency bandwidth ratio measurement factor is 1. When used, the pre-set value can be directly extracted from the database. The specific extraction method is, for example: constructing a one-to-one mapping set of the frequency band energy concentration, the signal-to-noise ratio and the frequency bandwidth ratio with the corresponding frequency band energy concentration measurement factor, the signal-to-noise ratio measurement factor and the frequency bandwidth ratio measurement factor respectively. When used, the frequency band energy concentration, signal-to-noise ratio and frequency bandwidth ratio obtained in real time are respectively input into the corresponding mapping set, thereby extracting the frequency band energy concentration measurement factor, the signal-to-noise ratio measurement factor and the frequency bandwidth ratio measurement factor.

[0145] Frequency band energy fidelity is a quantitative indicator of the proportion of key frequency band energy in the signal, which is jointly calculated by frequency band energy concentration, signal-to-noise ratio, and bandwidth ratio. The specific analysis process is as follows: the collected frequency band energy concentration, signal-to-noise ratio, and bandwidth ratio are compared with the corresponding reference values, and the comparison results are coupled with the corresponding measurement factors to obtain the frequency band energy fidelity.

[0146] In a specific embodiment, the frequency band energy fidelity is specifically analyzed as follows: , Among them, F u represents the frequency band energy fidelity, D represents the frequency band energy concentration, D0 represents the frequency band energy concentration reference value, m represents the frequency band energy concentration measurement factor, G represents the signal-to-noise ratio, G0 represents the signal-to-noise ratio reference value, r represents the signal-to-noise ratio measurement factor, H represents the bandwidth ratio, H0 represents the bandwidth ratio reference value, and w represents the bandwidth ratio measurement factor.

[0147] Furthermore, the high-frequency signal data is effectively judged, and the signal reconstruction requirement information is analyzed. The specific analysis process is as follows: Extract the frequency band energy fidelity threshold stored in the database.

[0148] If the frequency band energy fidelity is greater than or equal to the frequency band energy fidelity threshold, the high-frequency signal data is effectively determined to be recorded as valid data, and the signal reconstruction requirement information is recorded as no signal reconstruction adjustment is required.

[0149] It should be noted that if the frequency band energy fidelity is greater than or equal to the frequency band energy fidelity threshold, it means that the main energy of the signal is concentrated in the key frequency band, and the characteristics and information of the signal are fully retained within the frequency band. Therefore, the high-frequency signal data is effectively judged as valid data, and the signal reconstruction requirement information is recorded as no signal reconstruction adjustment is required.

[0150] If the frequency band energy fidelity is less than the frequency band energy fidelity threshold, the high-frequency signal data validity determination is recorded as invalid data, and the signal reconstruction requirement information is recorded as the required signal reconstruction adjustment.

[0151] It should be noted that if the frequency band energy fidelity is less than the frequency band energy fidelity threshold, it means that the signal energy accounts for a small proportion in the critical frequency band, and a large amount of energy is dispersed in the non-critical frequency band. This may cause more noise interference in the signal, causing signal distortion and affecting the quality and availability of the signal. Therefore, the effective judgment of the high-frequency signal data is recorded as invalid data, and the signal reconstruction requirement information is recorded as the required signal reconstruction adjustment.

[0152] Furthermore, the signal reconstruction and adjustment are required. The specific adjustment process is as follows: After completing the linear interpolation adjustment, the bridge main tower inclination angle and bridge cable tension signals are continuously collected within the preset time window, and the average frequency coherence factor is analyzed.

[0153] It should be noted that within one cycle, the bridge main tower inclination angle and bridge cable tension signals are continuously collected, and time-frequency analysis is performed on each signal to calculate the frequency coherence factor at each frequency point, and then the frequencies are averaged to obtain the average frequency coherence factor.

[0154] Extract the standard value of the frequency coherence factor stored in the database.

[0155] It should be noted that the standard value of the frequency coherence factor is 1.

[0156] The frequency coherence factor deviation value is obtained by subtracting the frequency coherence factor from the standard value of the frequency coherence factor.

[0157] The frequency coherence factor deviation value threshold stored in the database is extracted.

[0158] If the frequency coherence factor deviation value is less than the frequency coherence factor threshold, the spectrum is divided into a plurality of sub-bands to generate a composite signal containing all key frequency bands.

[0159] It should be noted that if the frequency coherence factor is greater than or equal to the frequency coherence factor threshold, it means that the coherence between the two is high. Then, the Fourier transform is used to convert the signal from the time domain to the frequency domain to obtain the spectrum of the signal. The spectrum is divided into several sub-bands according to the frequency coherence factor for amplification processing. The processed sub-band signals are directly added in the time domain to form a composite signal.

[0160] It should be explained that by frequency domain decomposition, the signal is divided into multiple sub-bands according to coherence, and then each sub-band is amplified independently, which can enhance the frequency components with higher coherence in the signal and finally synthesize an enhanced time domain signal.

[0161] If the frequency coherence factor deviation value is greater than or equal to the frequency coherence factor threshold, the frequency coherence factor is subtracted from the frequency coherence factor threshold to obtain a frequency coherence deviation score.

[0162] The frequency coherence first adjustment value corresponding to each frequency coherence deviation score interval stored in the database is extracted, and the frequency coherence first adjustment value corresponding to the interval in which the frequency coherence deviation score is located is mapped and recorded as the frequency coherence first adjustment value of the bridge structure.

[0163] The first frequency coherent adjustment value of the bridge structure is a dispersion adjustment value.

[0164] It should be noted that the frequency coherence factor being less than the frequency coherence factor threshold may be due to the destruction of dispersion. After passing through the dispersive medium, different frequency components propagate at different speeds, resulting in different arrival times at the same location, which leads to a decrease in frequency coherence. Dispersion compensation is performed to realign the phases of different frequencies and restore frequency coherence.

[0165] Extract the current frequency-coherent first adjustment value.

[0166] The demand signal is reconstructed and adjusted according to the current frequency-coherent first adjustment value and the frequency-coherent first adjustment value of the bridge structure.

[0167] It should be noted that the current frequency-coherent first adjustment value represents the dispersion value of the current frequency of the signal, and the frequency-coherent first adjustment value of the bridge structure represents the degree of dispersion adjustment when performing signal reconstruction adjustment. The current frequency-coherent first adjustment value and the frequency-coherent first adjustment value of the bridge structure are added to complete the signal reconstruction adjustment.

[0168] Furthermore, the signal reconstruction effect is determined. The specific analysis steps are as follows: The energy fidelity of the analyzed frequency band after reconstruction is recorded as the first frequency band energy fidelity.

[0169] A frequency band energy fidelity threshold correction factor is extracted based on the first frequency band energy fidelity.

[0170] A first frequency band energy fidelity correction value is obtained based on the first frequency band energy fidelity and a frequency band energy fidelity threshold correction factor.

[0171] It should be noted that the first frequency band energy fidelity threshold and the frequency band energy fidelity threshold correction factor are added to obtain the first frequency band energy fidelity threshold correction value.

[0172] If the frequency band energy fidelity is greater than or equal to the frequency band energy fidelity threshold correction value, the signal reconstruction effect is recorded as a valid reconstruction.

[0173] It should be noted that if the frequency band energy fidelity is greater than or equal to the frequency band energy fidelity threshold correction value, it means that the frequency band energy fidelity of the adjusted signal is higher and the adjusted signal is more complete, indicating that the adjustment effect is better, so the signal reconstruction effect is recorded as effective reconstruction.

[0174] If the frequency band energy fidelity is less than the frequency band energy fidelity threshold correction value, the signal reconstruction effect is recorded as invalid reconstruction and a warning message is generated.

[0175] It should be noted that if the frequency band energy fidelity is less than the frequency band energy fidelity threshold correction value, it means that the frequency band energy fidelity of the adjusted signal is low and the adjusted signal is more dispersed, indicating that the adjustment effect is poor, so the signal reconstruction effect is recorded as invalid reconstruction and a warning information is generated.

[0176] It should be added that, in this embodiment, the warning message may be: "Warning! Error in signal reconstruction adjustment."

[0177] The present invention uses frequency band energy fidelity to screen frequency bands with sufficient energy in key frequency bands in signal reconstruction, ensuring that what is identified is the true dynamic response of the structure rather than noise or interference, ensuring data validity from the source, and dividing the input and output signals into two categories for targeted processing through frequency coherence factors to improve signal validity and accuracy, ensuring that the energy retention of key frequency bands in high-correlation frequency bands is maximized, and optimizing low-coherence frequency bands to avoid noise accumulation interference.

[0178] The present invention also includes a sensor module, a data analysis system and a software display system. The above description belongs to the data analysis system, which processes the signals from the sensor system. In addition, the main tower tilt angle monitoring indicators and the arrangement of the measuring points are as follows: Figure 2 As shown; the warning information issued above is uploaded to the cloud through the sensor. If the cloud detects zero warning information, the software system will display the level 1 bridge health. If the cloud detects one warning information, the software system will display the level 3 alarm. If the cloud detects two warning information, the software system will display the level 2 alarm. If the cloud detects multiple warning information, the software system will display the level 1 alarm. The software display system interface is as follows Figure 3 .

[0179] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0180] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0181] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0182] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0183] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0184] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A condition monitoring method for a bridge structure, characterized in that: The following steps are involved: S1: Continuously monitor the bridge structure, obtain the original data set of the bridge main tower inclination angle and bridge cable tension, analyze the signal time characteristic characterization factor, and perform linear interpolation adjustment information judgment; S2, when the linear interpolation adjustment information determines that linear interpolation adjustment is required, analyzing the updated value of the cable tension based on the original data set of the bridge main tower inclination angle and the bridge cable tension; S3, analyzing the cable tension residual and the interpolation adjustment effect label, thereby determining the need for executing the quadratic linear interpolation adjustment; S4, receiving the linear interpolation adjustment completion signal, analyzing the frequency band energy fidelity, thereby making a valid judgment on the high-frequency signal data, thereby analyzing the signal reconstruction requirement information, and making a signal reconstruction effect judgment after receiving the signal reconstruction completion information.

2. A bridge structure condition monitoring method according to claim 1, characterized in that: The analysis signal time characteristic characterization factor, the specific analysis method is as follows: Obtaining the timestamp column of the bridge main tower inclination angle and the timestamp column of the bridge cable tension from the original data set of the bridge main tower inclination angle and the bridge cable tension, and analyzing and obtaining the data signal time representation parameters; The data signal time characterization parameters include sampling rate difference, signal cross-correlation coefficient and signal amplitude change rate difference; Analyze the signal time characteristic characterization factor according to the data signal time characterization parameter; The signal time characteristic characterization factor is a quantitative indicator of the signal time characteristic difference, which is a combination of the signal cross-correlation coefficient, the signal amplitude change rate difference and the sampling rate difference. The specific analysis process is as follows: the collected signal cross-correlation coefficient, the signal amplitude change rate difference and the sampling rate difference are compared with the corresponding reference values ​​respectively, and the comparison results are coupled with the corresponding measurement factors to obtain the signal time characteristic characterization factor.

3. A bridge structure condition monitoring method according to claim 1, characterized in that: The specific analysis process of determining the linear interpolation adjustment information is as follows: Extracting the signal time feature characterization factor threshold preset in the database; If the signal time characteristic characterization factor is less than the signal time characteristic characterization factor threshold, the linear interpolation adjustment information determination result is recorded as the required linear interpolation adjustment; If the signal time characteristic characterization factor is greater than or equal to the signal time characteristic characterization factor threshold, the linear interpolation adjustment information determination result is recorded as no linear interpolation adjustment is required.

4. A bridge structure condition monitoring method according to claim 1, characterized in that: The specific analysis process of analyzing the updated cable tension value is as follows: Cluster the timestamp column of the bridge main tower tilt angle according to the clustering rules preset in the database, and obtain the time cluster corresponding to the maximum tilt angle, which is recorded as the target time cluster; Within the target time cluster, the peak of the target time cluster is recorded as the main tower tilt angle timestamp reference point; Extract the two tension data timestamps adjacent to the main tower tilt angle timestamp reference point from the timestamp sequence of the bridge cable tension, record them as the preceding point and the succeeding point respectively, and thus obtain the length radius of the time interval; Get the time interval length based on the time interval length radius; Extract the cable tension values ​​corresponding to the preceding and succeeding points; The timestamp deviation factor is obtained by subtracting the timestamp reference point of the main tower tilt angle from the subsequent point; The time scale coefficient is obtained based on the timestamp deviation factor and the time interval length analysis; The total value of the cable tension data is obtained by analyzing the preceding and following point values ​​of the cable tension data; The total value of the cable tension data is combined with the time scale coefficient to obtain the updated value of the cable tension.

5. The bridge structure condition monitoring method according to claim 1, characterized in that: The interpolation adjustment effect label is analyzed to determine the execution requirements of the quadratic linear interpolation adjustment. The specific analysis process is as follows: Extract two adjacent timestamp values ​​of the cable tension update value from the original data set, and then extract the corresponding timestamps within the time interval length, and record them as the first preceding point and the first succeeding point respectively; Subtract the cable tension update value from the first preceding point value and the first succeeding point value, respectively, to obtain the first preceding point value cable tension update difference and the first succeeding point value; If the absolute value of the cable tension update difference of the first preceding point value is less than or equal to the first succeeding point value, the absolute value of the cable tension update difference of the first preceding point value is recorded as the timestamp point corresponding to the cable tension update value; If the absolute value of the cable tension update difference of the first preceding point value is greater than the first succeeding point value, the cable tension update difference of the first succeeding point value is recorded as the timestamp point corresponding to the cable tension update value; The cable tension timestamp residual is obtained by subtracting the main tower inclination angle timestamp reference point from the timestamp point corresponding to the cable tension update value; Extract the cable tension time stamp residual interval stored in the database; If the cable tension timestamp residual is less than the lower limit of the cable tension timestamp residual interval, the interpolation adjustment effect is recorded as a successful adjustment, and the quadratic linear interpolation adjustment execution requirement is recorded as no quadratic linear interpolation adjustment is required, and a linear interpolation adjustment completion signal is generated synchronously; If the cable tension timestamp residual is within the cable tension timestamp residual interval, the interpolation adjustment effect is recorded as effective adjustment, and the quadratic linear interpolation adjustment execution requirement is recorded as required quadratic linear interpolation adjustment; If the cable tension timestamp residual is greater than the upper limit of the cable tension timestamp residual interval, the interpolation adjustment effect is recorded as an adjustment abnormality, and the quadratic linear interpolation adjustment execution requirement is recorded as no quadratic linear interpolation adjustment is required, and an early warning message is generated simultaneously.

6. A bridge structure condition monitoring method according to claim 5, characterized in that: The specific analysis process of the quadratic linear interpolation adjustment is as follows: The difference between the timestamp point corresponding to the cable tension update value and the timestamp reference point of the main tower inclination angle is processed and recorded as the time proportion correction deviation coefficient; Analyze the adjustment direction of quadratic linear interpolation based on the time proportion correction deviation coefficient; If the adjustment direction is forward, the timestamp point corresponding to the cable tension update value minus the cable tension timestamp residual is subtracted and linear interpolation adjustment is performed again; If the adjustment direction is backward, the timestamp point corresponding to the cable tension update value is added to the cable tension timestamp residual and linear interpolation adjustment is performed again; After the adjustment, the cable tension timestamp residual is re-obtained. If the re-obtained cable tension timestamp residual is greater than or equal to the lower limit of the cable tension timestamp residual interval, a warning message is generated; If the reacquired cable tension timestamp residual is less than the cable tension timestamp residual lower limit, a linear interpolation adjustment completion signal is generated.

7. A bridge structure condition monitoring method according to claim 1, characterized in that: The specific analysis process of the analysis frequency band energy fidelity is as follows: After receiving the linear interpolation adjustment completion signal, collect key frequency band signal quality data, including frequency band energy concentration, signal-to-noise ratio and bandwidth ratio; Analyze frequency band energy fidelity based on key frequency band signal quality data; The frequency band energy fidelity is a quantitative indicator of the proportion of key frequency band energy in the signal, which is jointly calculated by the frequency band energy concentration, signal-to-noise ratio and bandwidth ratio. The specific analysis process is as follows: the collected frequency band energy concentration, signal-to-noise ratio and bandwidth ratio are compared with the corresponding reference values ​​respectively, and the comparison results are coupled with the corresponding measurement factors to obtain the frequency band energy fidelity.

8. The bridge structure condition monitoring method according to claim 1, characterized in that: The high-frequency signal data is effectively judged, and the signal reconstruction requirement information is analyzed. The specific analysis process is as follows: Extracting the frequency band energy fidelity threshold stored in the database; If the frequency band energy fidelity is greater than or equal to the frequency band energy fidelity threshold, the high-frequency signal data is recorded as valid data, and the signal reconstruction requirement information is recorded as no signal reconstruction adjustment is required; If the frequency band energy fidelity is less than the frequency band energy fidelity threshold, the high-frequency signal data validity determination is recorded as invalid data, and the signal reconstruction requirement information is recorded as the required signal reconstruction adjustment.

9. A bridge structure condition monitoring method according to claim 8, characterized in that: The demand signal reconstruction adjustment, the specific adjustment process is as follows: After completing the linear interpolation adjustment, the bridge tower tilt angle and bridge cable tension signals are continuously collected within the preset time window, and the average frequency coherence factor is analyzed; extracting a frequency coherence factor threshold stored in a database; If the frequency coherence factor is greater than or equal to the frequency coherence factor threshold, dividing the spectrum into a plurality of sub-bands to generate a composite signal containing all critical frequency bands; If the frequency coherence factor is less than the frequency coherence factor threshold, the frequency coherence factor is subtracted from the frequency coherence factor threshold to obtain the frequency coherence deviation score; Extracting the frequency coherence first adjustment value corresponding to each frequency coherence deviation score interval stored in the database, and mapping the extracted frequency coherence first adjustment value corresponding to the interval in which the frequency coherence deviation score is located, and recording it as the frequency coherence first adjustment value of the bridge structure; The frequency-coherent first adjustment value of the bridge structure is a bandwidth adjustment value; Extracting a current frequency-coherent first adjustment value; The demand signal is reconstructed and adjusted according to the current frequency-coherent first adjustment value and the frequency-coherent first adjustment value of the bridge structure.

10. The bridge structure condition monitoring method according to claim 1, characterized in that: The signal reconstruction effect determination is performed, and the specific analysis steps are as follows: The energy fidelity of the analyzed frequency band after reconstruction is recorded as the energy fidelity of the first frequency band; Extracting a frequency band energy fidelity correction factor based on the first frequency band energy fidelity; Obtaining a first frequency band energy fidelity correction index based on the first frequency band energy fidelity and the frequency band energy fidelity correction factor; If the first frequency band energy fidelity correction index is greater than or equal to the frequency band energy fidelity threshold, the signal reconstruction effect is recorded as a valid reconstruction; If the first frequency band energy fidelity correction index is less than the frequency band energy fidelity threshold, the signal reconstruction effect is recorded as invalid reconstruction and a warning message is generated.

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