Stay cable force calculation method and system, electronic equipment and storage medium

Abstract

The invention relates to the field of structure health monitoring, and provides a stay cable force calculation method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining a multi-source signal of a stay cable to be measured, the multi-source signal at least comprising an acceleration signal and an angular velocity signal; performing frequency domain analysis on the acceleration signal to determine an acceleration frequency spectrum, and performing frequency domain analysis on the angular velocity signal to determine an angular velocity frequency spectrum; weighting the acceleration frequency spectrum and the angular velocity frequency spectrum, and calculating a fusion spectrum; carrying out full-band peak detection on the fusion spectrum, determining a support degree score of a candidate fundamental frequency, and determining a fundamental frequency signal based on the support degree score; and calculating the cable force of the stay cable to be measured based on the fundamental frequency signal. The method and the device are used for solving the defect that main frequency identification and cable force inversion precision is insufficient when cable force monitoring is carried out on a stayed-cable bridge in the prior art, frequency domain analysis and full-band peak detection can be carried out on multi-source data of a stayed cable, and more accurate cable force calculation is carried out.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of structural health monitoring, and in particular to a cable force calculation method and system for a stay cable, an electronic device and a storage medium. BACKGROUND

[0002] A stay cable, also known as a cable-stayed bridge, is a bridge in which the main beam is directly pulled on the bridge tower by many cables, and is a structural system composed of a pressure-bearing tower, a tension cable and a bending beam body.

[0003] The safety and durability of a support structure such as a stay cable bridge are highly dependent on the long-term stability and real-time monitoring of the cable force. In engineering practice, the cable force measurement methods are mainly divided into: direct / quasi-direct method (pressure ring, mechanical force), vibration frequency method (based on the inversion of the natural frequency), and a small amount of non-contact measurement (optical / radar, etc.). Among them, the vibration frequency method is the most commonly used due to its simplicity and low cost, but in low signal-to-noise ratio, strong harmonic interference and complex boundary conditions, the main frequency identification and cable force inversion accuracy are still insufficient. SUMMARY

[0004] The present application provides a cable force calculation method and system for a stay cable, an electronic device and a storage medium to solve the defect of insufficient main frequency identification and cable force inversion accuracy in related technologies when monitoring the cable force of a stay cable bridge. In the present application, multi-source data of the stay cable can be analyzed in the frequency domain and full-band peak detection can be performed to perform more accurate cable force calculation.

[0005] The present application provides a cable force calculation method for a stay cable, comprising: obtaining multi-source signals of a stay cable to be measured, the multi-source signals comprising at least acceleration signals and angular velocity signals; performing frequency domain analysis on the acceleration signals to determine an acceleration frequency spectrum, and performing frequency domain analysis on the angular velocity signals to determine an angular velocity frequency spectrum; weighting the acceleration frequency spectrum and the angular velocity frequency spectrum to calculate a fusion spectrum; performing full-band peak detection on the fusion spectrum to determine a support score of a candidate fundamental frequency, and determining a fundamental frequency signal based on the support score; calculating the cable force of the stay cable to be measured based on the fundamental frequency signal.

[0006] According to the cable force calculation method for a stay cable provided by the present application, after obtaining the multi-source signals of the stay cable to be measured, the method further comprises: preprocessing the multi-source signals, the preprocessing comprising synchronous sampling and time sequence alignment processing.

[0007] According to the cable force calculation method for a stay cable provided by the present application, the multi-source signals further comprise current temperature data. The calculation of the cable force of the to-be-tested cable-stayed cable further comprises: The cable force of the to-be-tested cable-stayed cable is temperature-compensated through the following formula:

[0008] Wherein, is the compensated cable force value, is the uncompensated cable force value, is the difference between the measured temperature and the calibration temperature, is the temperature correction coefficient.

[0009] According to the cable force calculation method of the cable-stayed cable provided by the application, the acceleration frequency spectrum and the angular velocity frequency spectrum are weighted, and a fusion spectrum is calculated, comprising: The fusion spectrum is calculated by using an adaptive weight fusion method through the following formula:

[0010] Wherein, is the fusion spectrum, is the acceleration frequency spectrum, is the angular velocity frequency spectrum, and complies with the following formula:

[0011]

[0012] Wherein, is the signal-to-noise ratio of the acceleration signal, is the signal-to-noise ratio of the angular velocity signal.

[0013] According to the cable force calculation method of the cable-stayed cable provided by the application, the signal-to-noise ratio of the acceleration signal complies with the following formula:

[0014] The signal-to-noise ratio of the angular velocity signal complies with the following formula: .

[0015] According to the cable force calculation method of the cable-stayed cable provided by the application, the calculation of the cable force of the to-be-tested cable-stayed cable based on the fundamental frequency signal comprises: The cable force of the to-be-tested cable-stayed cable is calculated based on the fundamental frequency signal through the following formula:

[0016] Wherein, is the cable force, is the elastic modulus, is the cross-sectional moment of inertia, is a correction coefficient, L is a length of the cable to be measured, m is a mass of the cable per unit length, and n is a modal order, is the fundamental frequency signal.

[0017] According to the cable force calculation method provided by the application, the cable force of the cable to be measured is calculated based on the fundamental frequency signal, and then the method further comprises the following steps: If the cable force of the cable to be measured exceeds a set threshold range, an alarm is given.

[0018] The application further provides a cable force calculation system, comprising: A signal acquisition module is configured to acquire a multi-source signal of a cable to be measured, wherein the multi-source signal comprises at least an acceleration signal and an angular velocity signal. A frequency domain analysis module is configured to perform frequency domain analysis on the acceleration signal to determine an acceleration frequency spectrum, and perform frequency domain analysis on the angular velocity signal to determine an angular velocity frequency spectrum. A spectrum fusion module is configured to perform weighting on the acceleration frequency spectrum and the angular velocity frequency spectrum to calculate a fusion spectrum. A fundamental frequency detection module is configured to perform full-frequency peak value detection on the fusion spectrum to determine a support score of a candidate fundamental frequency, and determine a fundamental frequency signal based on the support score. A cable force calculation module is configured to calculate the cable force of the cable to be measured based on the fundamental frequency signal.

[0019] The application further provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the above cable force calculation methods when executing the program.

[0020] The application further provides a non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program is executable by a processor to implement any of the above cable force calculation methods.

[0021] The application further provides a computer program product comprising a computer program, wherein the computer program is executable by a processor to implement any of the above cable force calculation methods.

[0022] In the cable force calculation method provided by the application, the acceleration signal and the angular velocity signal of the cable to be measured can be fused, and the fusion spectrum can be calculated through a weighting scheme, which can significantly improve the accuracy and robustness of fundamental frequency identification in a low signal-to-noise ratio environment. In addition, the full-frequency peak value detection, frequency multiplication and harmonic elimination, and support score strategy are adopted to ensure that the selected fundamental frequency signal has the best interpretation ability and reduces the misjudgment caused by frequency multiplication interference to the greatest extent, thereby further improving the accuracy of cable force calculation. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0024] Figure 1 is a flowchart of the cable force calculation method of the cable-stayed cable provided by the embodiment of the present application; Figure 2 is a flowchart of the adaptive weighted fusion provided by the embodiment of the present application; Figure 3 is a flowchart of the determination of the fundamental frequency signal provided by the embodiment of the present application; Figure 4 is one of the structural schematic diagrams of the cable force calculation system provided by the embodiment of the present application; Figure 5 is the second structural schematic diagram of the cable force calculation system provided by the embodiment of the present application; Figure 6 is the physical structure schematic diagram of the electronic device provided by the embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solutions and advantages of the present application more clear, the technical solutions in the present application will be described clearly and completely below in combination with the drawings in the present application. Obviously, the described embodiments are some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor belong to the protection scope of the present application.

[0026] There are some methods for cable force calculation of cable-stayed cable in the related art, for example, the vibration method based on linear model calibration can establish a linear model through multi-stage tensioning and frequency calibration in the construction stage, which is used for operation period cable force inversion, but it depends on single-channel acceleration signal, does not integrate angular velocity information, lacks multi-source fusion and adaptive weight mechanism, is insufficient in identification and elimination of harmonic and frequency interference, temperature drift compensation mechanism is not perfect, influence of bending stiffness (EI) is not provided with a unified and operable correction method, needs to be calibrated in the construction stage, and cannot be directly applied to the in-service cable.

[0027] The mechanical force / steel rod principle measurement method and device realize cable force measurement through a mechanical system, have strong anti-interference ability, but belong to an invasive measurement method, need to install a clamping device, are not suitable for non-invasive monitoring scenes, do not involve fusion processing and spectral weighting of multi-source vibration signals, and lack systematic temperature compensation, harmonic elimination and cloud cooperation mechanism.

[0028] The frequency optimization and EI correction method optimizes frequency identification through time domain delay and energy extreme value, and introduces an EI correction term, but the frequency optimization does not combine multi-source fusion of acceleration and angular velocity, lacks SNR adaptive weight, does not establish a clear harmonic / frequency multiplication support score and elimination mechanism, and does not realize an edge-cloud collaborative low-power engineering solution.

[0029] The auxiliary cable clamp and two-stage frequency iterative solution method changes the boundary conditions by installing an auxiliary cable clamp, and solves the cable force and EI jointly, but it needs to attach a clamp and a cable, is invasive to the structure, still mainly uses single-channel acceleration to obtain frequency, does not introduce angular velocity information and SNR fusion, and lacks complete temperature compensation, harmonic screening and cloud cooperation link.

[0030] In summary, the related art has the following disadvantages: 1. Single-source signal dominance: mainly using single-channel acceleration, lacking angular velocity cooperation and adaptive weight fusion based on SNR, and not sensitive to low SNR and installation position differences.

[0031] 2. Harmonics and frequency multiplication: although there is frequency optimization such as filtering or delay superposition, there is no clear harmonic / frequency multiplication elimination and support score process, and the risk of base frequency misselection still exists.

[0032] 3. EI and boundary: either ignoring EI or changing the boundary through clamping / iteration, which has implementation complexity or invasiveness; and EI correction and multi-source fusion do not form an integrated pipeline.

[0033] 4. Lack of engineering: most solutions do not give an end-to-end implementation of temperature compensation, edge-cloud distributed processing, remote upgrade and low-power long-time online engineering elements.

[0034] To address the aforementioned pain points, without changing the existing boundary conditions, engineering practice urgently needs a non-invasive, low-power and real-time online monitoring solution for in-service cable-stayed cables, which at least solves the following problems: 1. Effective use of multi-source vibration information: how to use multi-source information such as acceleration and angular velocity to improve the observability and robustness of the main frequency under low signal-to-noise ratio and complex working conditions.

[0035] 2. Systematic suppression of harmonic / frequency multiplication interference: how to establish a reusable peak grouping and discrimination process to reduce the risk of base frequency misselection caused by frequency multiplication dominance.

[0036] 3. Unified correction of bending stiffness effects: How to incorporate EI effects into cable force inversion in a way that is operationally feasible in short cables and high modal cases.

[0037] 4. Environmental factors compensation: How to incorporate environmental variables such as temperature into pre-processing to suppress frequency drift and improve long-term consistency.

[0038] 5. Engineering and operational feasibility: How to construct a processing chain that splits the workload between edge and cloud to ensure real-time output on site, while meeting the needs of historical trend analysis, remote upgrades, and low-power long-term online requirements.

[0039] Based on this, the scheme of the present application provides a stay cable force calculation method and system, electronic equipment, and storage medium, as follows.

[0040] Figure 1 is a flowchart of the stay cable force calculation method provided by the embodiment of the present application.

[0041] As shown in Figure 1 , the present embodiment provides a stay cable force calculation method, which includes: Step 101, acquiring multi-source signals of the stay cable to be measured, the multi-source signals at least including acceleration signals and angular velocity signals; In actual application, signal acquisition modules can be arranged on the stay cable to be measured, the signal acquisition modules can include at least one group of inertial measurement units (IMUs) integrated with three-axis accelerometers and three-axis gyroscopes and temperature sensors, for synchronously acquiring acceleration data , , , angular velocity data , , , and environmental temperature data.

[0042] Step 102, performing frequency domain analysis on the acceleration signals to determine acceleration frequency spectrum, and performing frequency domain analysis on the angular velocity signals to determine angular velocity frequency spectrum; Step 103, weighting the acceleration frequency spectrum and the angular velocity frequency spectrum to calculate a fusion spectrum; Figure 2 is a flowchart of adaptive weighting fusion provided by the embodiment of the present application.

[0043] As shown in Figure 2 , in implementation, the fusion spectrum can be calculated by using the adaptive weight fusion method through the following formula:

[0044] wherein, is the fusion spectrum, is an acceleration frequency spectrum, is an angular velocity frequency spectrum, and The real-time signal-to-noise ratio can be calculated based on the following formula:

[0045]

[0046] wherein, , respectively, the ratio of the main peak power of the acceleration channel and the angular velocity channel in the narrow band of the fundamental frequency neighborhood to the noise power of the adjacent noise band, is the signal-to-noise ratio of the acceleration signal, is the signal-to-noise ratio of the angular velocity signal.

[0047] Specifically, the signal-to-noise ratio of the acceleration signal satisfies the following formula:

[0048] The signal-to-noise ratio of the angular velocity signal satisfies the following formula: .

[0049] In practical applications, the real-time signal-to-noise ratio (SNR) can be calculated in advance, that is, the ratio of the signal power and the noise power is dynamically estimated during data acquisition and processing, which is used to represent the reliability of the current measurement data, and is expressed in decibels (dB). The formula for calculating the SNR value is as follows:

[0050] wherein, is the signal power, is the noise power.

[0051] The higher the real-time SNR value, the clearer the source signal and the smaller the noise interference; otherwise, the signal is greatly affected by noise.

[0052] In this embodiment, the real-time SNR is used as the weight basis of the weighted fusion algorithm. When the real-time SNR of a certain data source is high, it is given a higher fusion weight; when the real-time SNR of a certain data source is low, its weight contribution is reduced. Through this adaptive adjustment mechanism, the fusion spectrum can be ensured to be closer to the real physical fundamental frequency, thereby improving the stability and accuracy of the fundamental frequency identification and cable force calculation.

[0053] Step 104, performing full-band peak value detection on the fusion spectrum to determine the support score of the candidate fundamental frequency, and determining the fundamental frequency signal based on the support score; Figure 3 is a flowchart for determining the fundamental frequency signal provided by the embodiment of the present application.

[0054] As shown in Figure 3 , in actual application, full-band peak detection and grouping can be performed on the fusion spectrum generated in step 103, and the candidate frequency multiplication / harmonic is removed if it meets ≈ (tolerance setting, is an integer); the support score of each candidate group is calculated, and the lowest frequency of the group with the highest support score is selected as the fundamental frequency .

[0055] Among them, the support score is composed of the number of peak groups and the energy comprehensive degree in the group, and the support score Support Score = peak group number x total energy.

[0056] Step 105, based on the fundamental frequency signal, calculating the cable force of the cable to be measured.

[0057] In actual application, the cable force of the cable to be measured can be calculated based on the fundamental frequency signal by the following formula:

[0058] Among them, is the cable force, is the elastic modulus, is the cross-sectional moment of inertia, is the correction coefficient, L is the length of the cable to be measured, m is the unit mass, n is the modal order, is the fundamental frequency signal.

[0059] The cable force calculation method provided by the embodiment can fuse the acceleration signal and the angular velocity signal of the cable to be measured, and calculate the fusion spectrum through a weighted scheme, which can significantly improve the accuracy and robustness of the fundamental frequency identification in a low signal-to-noise ratio environment. In addition, the full-band peak detection, frequency multiplication and harmonic elimination, and support score strategy are adopted to ensure that the selected fundamental frequency signal has the best interpretation ability, and the misjudgment caused by frequency multiplication interference is minimized, further improving the accuracy of the cable force calculation of the cable.

[0060] In the example embodiment, after obtaining the multi-source signal of the cable to be measured, and before performing frequency domain analysis on the acceleration and angular velocity signals, it further includes: Preprocessing the multi-source signal, the preprocessing including synchronous sampling and time sequence alignment processing.

[0061] Specifically, the collected multi-element signal can be subjected to time sequence alignment, filtering, gravity component removal and normalization processing.

[0062] After calculating the cable force of the cable to be measured, the cable force can also be temperature compensated.

[0063] When temperature compensation is performed, a temperature compensation model can be introduced to correct the cable force value, and the temperature compensation model satisfies the following formula:

[0064] wherein, is the compensated cable force value, is the uncompensated cable force value, is the difference between the measured temperature and the calibration temperature, is a temperature correction coefficient, which can be calibrated through experiments or obtained by fitting historical data.

[0065] In an exemplary embodiment, the cable force calculation method provided by the present application can be completed by the edge end and the cloud, specifically, the calculation process of steps 101 to 105 above can be completed by the edge end, and the calculation result can be uploaded to the cloud for further high-precision calculation, trend analysis and remote upgrading, and an alarm can be triggered when the cable force exceeds the limit. In implementation, when the communication is interrupted, the edge end can run independently and save data, and when the network communication is restored, the data is automatically uploaded to the cloud.

[0066] In summary, the cable force calculation method provided by the scheme of the present application has the following technical effects: 1. Improving the main frequency observability and identification accuracy under low signal-to-noise ratio and complex working conditions; 2. Reducing the system error caused by the bending stiffness neglect in the short cable and high-order modal working conditions; 3. Establishing a systematic elimination process for double frequency and harmonic interference to reduce the misselection of the fundamental frequency; 4. Introducing a temperature compensation mechanism to improve the consistency and stability of long-term online monitoring; 5. Building an edge-cloud collaborative processing architecture, taking into account on-site real-time output and cloud high-precision analysis, and still having the ability to run independently locally when communication is abnormal.

[0067] The cable force calculation system provided by the present application is described below, and the cable force calculation system described below can be correspondingly referred to the cable force calculation method described above.

[0068] Figure 4 is one of the structural diagrams of the cable force calculation system provided by the embodiment of the present application.

[0069] As Figure 4 shown, the cable force calculation system provided by the present embodiment comprises: A signal acquisition module 401 is configured to acquire multi-source signals of a cable to be measured, wherein the multi-source signals at least include acceleration signals and angular velocity signals. The frequency domain analysis module 402 is configured to perform frequency domain analysis on the acceleration signal to determine an acceleration frequency spectrum, and perform frequency domain analysis on the angular velocity signal to determine an angular velocity frequency spectrum; The spectrum fusion module 403 is configured to perform weighting on the acceleration frequency spectrum and the angular velocity frequency spectrum to calculate a fusion spectrum; The fundamental frequency detection module 404 is configured to perform full-band peak value detection on the fusion spectrum to determine a support score of a candidate fundamental frequency, and determine a fundamental frequency signal based on the support score. The cable force calculation module 405 is configured to calculate the cable force of the cable to be measured based on the fundamental frequency signal.

[0070] In actual application, the modules 401 to 405 can be all arranged at the edge end, and the calculation of the cable force of the cable to be measured is completed at the edge end through the modules, and then the calculation result can be uploaded to the cloud end for further high-precision calculation, trend analysis and remote upgrade, and an alarm can be triggered when the cable force exceeds the limit. In implementation, when the communication is interrupted, the edge end can independently run and save data, and when the network communication is restored, the data is automatically uploaded to the cloud end.

[0071] The specific implementation method of the cable force calculation system provided in the embodiment can be implemented with reference to the above-described embodiments, which will not be described here.

[0072] The cable force calculation method and system provided by the scheme of the present application will be described below with reference to a specific embodiment.

[0073] Figure 5 is a structural schematic diagram of a cable force calculation system provided in the embodiment of the present application.

[0074] As shown in Figure 5 , the cable force calculation system includes a field part, i.e., an edge part and a cloud part (a cloud computing platform), the edge part includes a multi-source sensor module, an environment monitoring module, an edge computing module, a communication module and a power supply module. The data flow is from the field sensor module to the edge computing, and then to the communication module and the cloud platform, to ensure real-time data transmission and processing.

[0075] The cable force real-time measurement method applied to the cable force calculation system includes the following steps: 1. Vibration signal acquisition A vibration signal acquisition module is arranged in the middle section and the anchoring end of the target cable (length , diameter , unit mass ). Each module includes: IMU inertial measurement unit: model ICM-42688P, integrating three-axis accelerometer and three-axis gyroscope, acceleration noise density ≤40 Gyroscope zero offset ≤ 0.01 ° / h ; Temperature sensor: PT1000, measurement range -40°C to +85°C, accuracy 0.1°C Acquisition unit: STM32L412 MCU, sampling frequency set to 200 Hz, supports synchronous triggering.

[0076] The module is connected to the edge computing node through a 4G / 5G communication module, ensuring that the data transmission delay is less than 100 ms.

[0077] 2. Data preprocessing and temperature compensation The raw data collected is first timestamped and synchronized in the MCU. Then the following steps are performed in sequence: Filtering: Third-order Butterworth low-pass filter with a cutoff frequency of 50 Hz Gravity component removal: Use low-frequency mean separation method to remove gravity component Normalization: Normalize by standard deviation of each channel to eliminate dimension influence Temperature compensation: Use temperature correction coefficient obtained by experimental calibration =−0.0025, according to the formula

[0078] The cable force value is corrected, where is the difference between the measured temperature and the 20°C calibration temperature.

[0079] 3. Adaptive weight fusion spectrum calculation The edge first performs Fast Fourier Transform (FFT) on the acceleration signal and the angular velocity signal to obtain the power spectral density: and

[0080] Select the energy of a narrow band integral near the fundamental frequency peak as the main peak power of the signal, and the mean square value of the energy of the remaining frequency band as the noise power, to calculate the signal-to-noise ratio: ,

[0081] , are the signal-to-noise ratios of the acceleration and angular velocity signals, respectively.

[0082] According to the real-time adaptive fusion weight is calculated: , =1–

[0083] The final fusion spectrum is:

[0084] This method can dynamically adjust the contribution ratio of acceleration and angular velocity according to real-time signal quality, avoiding the failure of fixed weight under low signal-to-noise ratio conditions.

[0085] 4. Fundamental frequency extraction and support score In the fusion spectrum, the peak value of the full frequency band is detected, and after the harmonic frequency is removed, the support score of each candidate fundamental frequency is calculated, and the lowest frequency of the group with the largest support score is selected as the fundamental frequency , specifically: Peak detection is performed on to find all candidate frequencies; Harmonic elimination: if the candidate frequencies satisfy ≈ ⋅ ( is an integer, and the error is ≤1%), then the harmonic is removed; Support score: Support Score = ×

[0086] Where, is the number of peak groups, is the total power spectrum integral value of the frequency group.

[0087] 5. Bending stiffness correction cable force calculation Known parameters: length =120m, unit mass =65 kg / m, modal order =1, elastic modulus =2.0×1011Pa, cross-sectional moment of inertia =3.2× , correction coefficient =0.95.

[0088] According to the formula:

[0089] For example, the detected fundamental frequency =1.85Hz, and the substitution gives ≈3625kN.

[0090] 6. Edge-cloud collaboration and real-time alarm Edge: complete the above calculation, and update the cable force value curve every second; Cloud: long-term trend analysis and predictive maintenance; Alarm strategy: when the cable force exceeds ±10% of the safety threshold, the edge immediately triggers the local buzzer and cloud alarm push.

[0091] In practical applications, to improve measurement stability, the IMU module is arranged at 1 / 2, 1 / 4, and the end of the cable, and amplitude normalization and phase alignment are performed on the results of each point before fusion spectrum. It is expected that multi-point fusion can reduce the measurement standard deviation by about 35% in a strong wind interference environment.

[0092] Tests were conducted in summer high temperature (maximum 48°C) and winter low temperature (minimum -12°C) conditions. The cable force value corrected by the temperature compensation formula has an average relative error of less than 1.8% compared to the laboratory standard tension machine results.

[0093] In practical applications, closed-loop verification can also be performed, for example, in bridge engineering field, a standard tension gauge or vibration measurement device that has been tested can be arranged in the same cable segment while installing the device. By synchronously collecting data and performing comparison analysis, it is verified whether the deviation between the cable force inversion result of the device and the measurement value of the standard instrument meets the design requirements.

[0094] In a laboratory environment, the device can be installed on a standardized vibration table or cable force simulation device. By using known vibration frequency and tension parameters as input conditions, and comparing them with the measurement values output by the device, the precision and stability of frequency identification and cable force inversion can be evaluated.

[0095] The above closed-loop verification can be performed during equipment factory inspection, initial installation and commissioning on site, and periodic calibration, which helps to improve the reliability and user trust of the device in long-term monitoring.

[0096] In summary, the cable force calculation method and system provided by the scheme have the following characteristics: 1. Multi-source data fusion and adaptive weight Fusion of acceleration and angular velocity signals, and dynamic calculation of fusion weight based on real-time signal-to-noise ratio (SNR) With , the accuracy and robustness of fundamental frequency identification can be significantly improved in low signal-to-noise ratio environments.

[0097] 2. Bending stiffness correction compensation Introduce EI (elastic modulus × cross-sectional moment of inertia) correction term in the cable force calculation formula, effectively compensate for inversion errors in short cable and high-order modal conditions, and improve calculation accuracy in various working conditions.

[0098] 3. Support score of combination of frequency multiplication and harmonic rejection The full-band peak detection, frequency multiplication and harmonic rejection, and support score strategy are adopted to ensure the optimal interpretation ability of the selected fundamental frequency and reduce misjudgment caused by frequency multiplication interference.

[0099] 4. Temperature compensation mechanism The temperature correction model is introduced in the data preprocessing stage to effectively suppress the frequency drift caused by environmental temperature changes and improve the stability and consistency of long-term measurement.

[0100] 5. Edge-cloud collaborative computing architecture The edge end realizes real-time cable force calculation and output, and the cloud end performs high-precision analysis and trend monitoring; in the event of network interruption, the edge end can operate independently, suitable for large-scale engineering deployment.

[0101] 6. Engineering adaptability and maintainability The sensor module structure is modularly designed and suitable for various materials such as steel cables and CFRP cables, facilitating on-site quick replacement, maintenance and expansion.

[0102] Figure 6 An example of an electronic device entity structure diagram is shown in Figure 6 As shown, the electronic device can include a processor 610, a communications interface 620, a memory 630, and a communications bus 640, wherein the processor 610, the communications interface 620, and the memory 630 communicate with each other through the communications bus 640. The processor 610 can invoke the logic instructions in the memory 630 to execute the cable force calculation method of the cable-stayed cable, which includes: Obtaining a plurality of source signals of a cable to be measured, the plurality of source signals at least including acceleration signals and angular velocity signals; Performing frequency domain analysis on the acceleration signals to determine an acceleration frequency spectrum, and performing frequency domain analysis on the angular velocity signals to determine an angular velocity frequency spectrum; Weighting the acceleration frequency spectrum and the angular velocity frequency spectrum to calculate a fusion spectrum; Performing full-band peak detection on the fusion spectrum to determine a support score of a candidate fundamental frequency, and determining a fundamental frequency signal based on the support score; Based on the fundamental frequency signal, calculating the cable force of the cable to be measured.

[0103] Moreover, the logic instructions in the memory 630 described above can be implemented in the form of software functional units and sold or used as independent products, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the parts that make contributions to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the method of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0104] In another aspect, the present application also provides a computer program product, which comprises a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and the computer program is executed by a processor, so that the computer can execute the cable force calculation method provided by the above-mentioned methods, and the method comprises: obtaining a multi-source signal of a cable to be measured, wherein the multi-source signal at least comprises an acceleration signal and an angular velocity signal; performing frequency domain analysis on the acceleration signal to determine an acceleration frequency spectrum, and performing frequency domain analysis on the angular velocity signal to determine an angular velocity frequency spectrum; weighting the acceleration frequency spectrum and the angular velocity frequency spectrum to calculate a fusion spectrum; performing full-band peak value detection on the fusion spectrum to determine a support score of a candidate fundamental frequency, and determining a fundamental frequency signal based on the support score; calculating the cable force of the cable to be measured based on the fundamental frequency signal.

[0105] In another aspect, the present application also provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the cable force calculation method provided by the above-mentioned methods, and the method comprises: obtaining a multi-source signal of a cable to be measured, wherein the multi-source signal at least comprises an acceleration signal and an angular velocity signal; performing frequency domain analysis on the acceleration signal to determine an acceleration frequency spectrum, and performing frequency domain analysis on the angular velocity signal to determine an angular velocity frequency spectrum; weighting the acceleration frequency spectrum and the angular velocity frequency spectrum to calculate a fusion spectrum; performing full-band peak value detection on the fusion spectrum to determine a support score of a candidate fundamental frequency, and determining a fundamental frequency signal based on the support score; Based on the fundamental frequency signal, the cable force of the cable to be measured is calculated.

[0106] The device embodiments described above are merely illustrative, wherein the units illustrated as separate components can or can not be physically separated, and the components illustrated as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0107] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and the necessary general hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods of the various embodiments or some parts of the embodiments.

[0108] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for calculating the cable force of a stay cable, characterized in that, include: Acquire multi-source signals from the cable under test, wherein the multi-source signals include at least acceleration signals and angular velocity signals; The acceleration signal is subjected to frequency domain analysis to determine the acceleration spectrum, and the angular velocity signal is subjected to frequency domain analysis to determine the angular velocity spectrum. The acceleration spectrum and the angular velocity spectrum are weighted to calculate the fused spectrum; Full-band peak detection is performed on the fused spectrum to determine the support score of the candidate fundamental frequency, and the fundamental frequency signal is determined based on the support score; The cable force of the cable to be tested is calculated based on the fundamental frequency signal.

2. The method for calculating the cable force of a stay cable according to claim 1, characterized in that, After acquiring the multi-source signals of the cable-stayed bridge to be tested, the method further includes: The multi-source signal is preprocessed, including synchronous sampling and timing alignment.

3. The method for calculating the cable force of a stay cable according to claim 1, characterized in that, The multi-source signal also includes current temperature data; The calculation of the cable force of the cable under test is followed by: Temperature compensation is performed on the cable force of the cable under test using the following formula: ； in, The compensated cable force value, For uncompensated cable tension, The difference between the measured temperature and the calibrated temperature. This is the temperature correction factor.

4. The method for calculating the cable force of a stay cable according to claim 1, characterized in that, The step of weighting the acceleration spectrum and the angular velocity spectrum to calculate the fused spectrum includes: The fusion spectrum is calculated using the adaptive weighted fusion method with the following formula: ； in, For fusion spectrum, For the acceleration spectrum, The angular velocity spectrum and It conforms to the following formula: ； ； in, The signal-to-noise ratio of the acceleration signal. denoted as the signal-to-noise ratio of the angular velocity signal.

5. The method for calculating the cable force of a stay cable according to claim 4, characterized in that, The signal-to-noise ratio of the acceleration signal conforms to the following formula: ； The signal-to-noise ratio of the angular velocity signal conforms to the following formula: 。 6. The method for calculating the cable force of a stay cable according to claim 1, characterized in that, The calculation of the cable force of the cable under test based on the fundamental frequency signal includes: The cable force of the cable under test is calculated based on the fundamental frequency signal using the following formula: ； in, For cable force, For elastic modulus, Let the moment of inertia of the cross section be... The correction factor is L, where L is the length of the cable under test, m is the mass per unit length of the cable, and n is the modal order. The fundamental frequency signal is referred to here.

7. The method for calculating the cable force of a stay cable according to any one of claims 1-6, characterized in that, The process of calculating the cable force of the cable under test based on the fundamental frequency signal further includes: An alarm will be triggered if the cable tension of the cable under test exceeds the set threshold range.

8. A cable-stayed bridge force calculation system, characterized in that, include: The signal acquisition module is used to acquire multi-source signals of the cable under test, wherein the multi-source signals include at least acceleration signals and angular velocity signals; The frequency domain analysis module is used to perform frequency domain analysis on the acceleration signal to determine the acceleration spectrum, and to perform frequency domain analysis on the angular velocity signal to determine the angular velocity spectrum. The spectrum fusion module is used to weight the acceleration spectrum and the angular velocity spectrum to calculate the fused spectrum; The fundamental frequency detection module is used to perform full-band peak detection on the fused spectrum, determine the support score of the candidate fundamental frequency, and determine the fundamental frequency signal based on the support score; The cable force calculation module is used to calculate the cable force of the cable under test based on the fundamental frequency signal.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the cable force calculation method for cable stays as described in any one of claims 1-7.

10. A non-transitory computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the cable force calculation method for cable stays as described in any one of claims 1-7.

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