Support frame monitoring system based on vibration analysis

Abstract

The invention discloses a support frame monitoring system based on vibration analysis, and relates to the technical field of structural health monitoring. Synchronously acquiring vibration wave signals and geometric deformation signals of the support frame under the action of a dynamic load through a plurality of sensors; a local shock wave and geometric deformation coupling propagation modeling module is used for simulating propagation of shock waves in the supporting frame and interaction between the shock waves and local deformation; through a nonlinear fluctuation effect analysis module, the distortion effect of the tiny geometric deformation on the vibration waves is recognized, and the quantitative relation between vibration wave propagation and the tiny geometric deformation is established; the self-adaptive correction algorithm module generates design parameters for adjusting geometrical shapes or material characteristics; the time-frequency and space decoupling analysis module captures the interaction between the vibration wave propagation mode and the geometric deformation of each region. The monitoring system can monitor and accurately correct the vibration characteristics of the supporting frame in real time, the safety and reliability of the structure are remarkably improved, and the monitoring system is suitable for health management of various engineering structures.

Description

Technical Field

[0001] The present invention relates to the technical field of structural health monitoring, and in particular to a support frame monitoring system based on vibration analysis. Background Art

[0002] Under dynamic loads and periodic vibrations, the local deformation and overall vibration of the support frame show complex wave propagation characteristics. Especially at the contact points, joints or deformation parts of the structure, the propagation and feedback mechanism of the vibration wave show complex nonlinear characteristics. Existing vibration monitoring and analysis methods are often unable to accurately capture the fluctuation characteristics of these local deformations, especially in high-frequency or multi-dimensional vibration responses. Since the tiny deformations and fluctuations of the support frame usually propagate in different forms in different areas, the existing methods of responding to these fluctuations are mostly limited to traditional time domain and frequency domain analysis, and it is difficult to delve into the spatial characteristics of vibration wave propagation and its interaction with geometric deformation. Summary of the invention

[0003] The purpose of the present invention is to solve the problems in the background technology and to propose a support frame monitoring system based on vibration analysis.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions: A support frame monitoring system based on vibration analysis, comprising: A data acquisition module, which synchronously acquires vibration wave signals and geometric deformation signals of the support frame under the action of dynamic loads through multiple sensors, wherein the vibration wave signals are time domain waveforms, and the geometric deformation signals are strain and displacement data of various parts of the support frame. In the sensor step, all signals are marked by time stamps to form a first data set; A local vibration wave and geometric deformation coupled propagation modeling module is used to establish a local vibration wave propagation and geometric deformation coupled model based on the first data set, simulate the influence of the local deformation area of ​​the support frame on the vibration wave propagation, and combine the attenuation, reflection, nonlinear effect, subharmonic and subharmonic generation effects of the vibration wave under high frequency conditions to form a second data set; The nonlinear wave effect analysis module performs nonlinear wave analysis based on the second data set, identifies the distortion effect of small geometric deformation on the vibration wave, and establishes a quantitative relationship between the vibration wave propagation and small geometric deformation, revealing the fatigue and stress concentration of the support frame, thereby generating the third data set; An adaptive correction algorithm module predicts the vibration characteristics of the support frame through an adaptive correction algorithm according to the third data set, generates design parameters for adjusting the geometric shape or material characteristics of the support frame, and reduces vibration resonance and distortion effects; The time-frequency and space decoupling analysis module conducts independent regional analysis on the spatial modes of vibration waves based on design parameters combined with time-frequency analysis and space decoupling methods, captures the interaction between the vibration wave propagation mode and geometric deformation in each region, establishes a quantitative model between vibration waves and geometric deformation, and further reveals the coupling effect between the vibration modes and geometric deformation in different regions, providing data support for subsequent support frame optimization and vibration correction.

[0005] Preferably, the local vibration wave and geometric deformation coupling model is established by the following steps: according to the first data set, a model of the influence of the local deformation area of ​​the support frame on the vibration wave propagation is established through finite element analysis FEA; the vibration wave propagation of the support frame under dynamic load is simulated, and the attenuation, reflection and nonlinear effects of the local deformation area on the vibration wave are considered; the local vibration wave and geometric deformation coupling model is established by the following formula: in: Indicates that the support frame is in position and time The displacement field at time ; It represents the strain field in the local area, reflecting the influence of geometric deformation; represents the vibration wave propagation speed, which is affected by the local geometric deformation; represents the initial condition.

[0006] Preferably, the nonlinear wave effect analysis module includes: identifying the nonlinear components in the vibration wave by time-frequency analysis method; identifying the harmonic, subharmonic and subharmonic components caused by small geometric deformation by high-order Fourier analysis to form a second data set; establishing a quantitative relationship between small geometric deformation and vibration wave propagation based on the analysis results to form a third data set; the nonlinear wave effect analysis is simulated based on the second data set by the following formula: in: Indicates frequency The nonlinear amplitude at ; is the nonlinear fluctuation coefficient, indicating the The intensity of subharmonics; It is Phase of subharmonics.

[0007] Preferably, the adaptive correction algorithm module includes: based on the third data set, performing model training by machine learning method to optimize the prediction of the vibration characteristics of the support frame; generating design parameters for adjusting the geometric shape or material properties of the support frame according to the prediction results to reduce vibration resonance and distortion effects and optimize the dynamic response of the support frame; using the following formula: in: Indicates the amount of geometry adjustment; and are the predicted and actual vibration frequency changes, respectively; and are the predicted and actual strain data, respectively; is the weight coefficient.

[0008] Preferably, the time-frequency and space decoupling analysis module includes: extracting frequency domain features of vibration waves using time-frequency analysis method; dividing the spatial propagation mode of vibration waves into regions, using spatial decoupling technology to independently analyze local regions, and identifying the interaction between vibration wave propagation modes and geometric deformation in different regions; the time-frequency analysis is combined with spatial decoupling, through the following formula: in, is the vibration mode in the frequency domain, is the frequency, is the space coordinate.

[0009] Preferably, the nonlinear effect of vibration waves caused by the tiny geometric deformation includes the generation of subharmonics and sub-subharmonics, and the generation effect is corrected by adjusting parameters in the nonlinear wave effect analysis module, and the tiny geometric deformation includes tiny displacement of the structure and strain in the local area.

[0010] Preferably, the spatial decoupling analysis of vibration wave propagation uses a regional independent analysis module and a multi-region decoupling model to independently model the vibration waves, thereby optimizing local and global vibration analysis effects.

[0011] Preferably, the data acquisition module synchronously acquires vibration signals and geometric deformation signals through a multi-sensor cluster, wherein the vibration signal includes an acceleration signal and a displacement signal, and the geometric deformation signal includes a strain signal and displacement field data.

[0012] Preferably, the time-frequency and space decoupling analysis module performs multi-scale decomposition on the vibration wave signal by using wavelet transform and short-time Fourier transform, thereby extracting the vibration wave propagation mode and geometric deformation information at different scales, thereby optimizing the monitoring of the support frame.

[0013] Preferably, the adaptive correction algorithm module generates design parameters for adjusting the geometric shape or material properties of the support frame by analyzing the changing trends of vibration data and geometric deformation data in real time, specifically including: collecting vibration data through sensors, analyzing the vibration mode and geometric deformation of the support frame, and identifying stress concentration areas in various parts; based on vibration and strain analysis, generating design parameters for adjusting the physical properties of existing materials to optimize the dynamic performance of the system.

[0014] The present invention has the following beneficial effects: 1. In the present invention, the coupled propagation modeling of local vibration waves and geometric deformations is combined with the nonlinear wave effect analysis module to identify and quantify the influence of small geometric deformations on vibration wave propagation, thereby revealing the fatigue and stress concentration of the support frame. The adaptive correction algorithm module analyzes the monitoring data through machine learning technology and provides design parameters for automatically adjusting the geometric shape or material properties of the support frame to optimize its dynamic response and reduce vibration resonance and distortion effects. The time-frequency and spatial decoupling analysis module further provides an in-depth understanding of the vibration wave propagation mode, allowing the monitoring system to accurately capture the interaction between the vibration wave propagation mode and geometric deformation in each area.

[0015] 2. The present invention significantly improves the accuracy and efficiency of monitoring, allowing engineers to understand the health status of the support frame in real time. Secondly, by identifying potential structural problems at an early stage, the system significantly reduces the risk of unexpected failures and enhances the safety of the structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a system architecture diagram of a support frame monitoring system based on vibration analysis proposed by the present invention; Figure 2 is the first axial pressure monitoring diagram in the present invention; Figure 3 This is the second axial pressure monitoring diagram in the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] This implementation plan aims to achieve real-time monitoring and data collection of key areas in the high-support formwork system through precise arrangement of sensors, so as to comprehensively evaluate the deformation, settlement, stress and vibration of the formwork. By arranging sensors at key parts of the structure, combined with time-frequency analysis and spatial decoupling technology, the coupling analysis of vibration wave propagation and geometric deformation is optimized, thereby improving the safety, stability and construction accuracy of the overall structure. Through this solution, the stress condition and deformation of the support system can be monitored in real time, potential safety hazards can be prevented, the stability of the formwork and support frame during the high-support formwork construction process can be ensured, and the construction risks caused by excessive settlement or deformation of the formwork can be reduced.

[0019] like Figure 1-Figure 3 As shown, the present invention proposes a support frame monitoring system based on vibration analysis.

[0020] 1. In one embodiment, the data acquisition module: sensors are installed at key locations of the support frame. Monitoring point layout principle: real-time monitoring of template settlement, vertical pole axial force and pole inclination, acceleration, strain, overall horizontal displacement of the support frame at key locations or weak locations of the high-rise formwork should be carried out. The main parameters include: Overall horizontal displacement of the support frame: Horizontal displacement sensors are arranged at key nodes (support points and load-bearing points).

[0021] Settlement sensors, strain gauges, stress sensors. Middle of a large-span cast-in-place concrete slab: middle of the slab and mid-span.

[0022] Settlement sensor, displacement sensor. Beam span measurement point arrangement: When the beam span is less than 9 meters, the measurement points are arranged at 1 / 2 span; when the beam span exceeds 9 meters, the measurement points are arranged at 1 / 4, 1 / 2, and 3 / 4 positions.

[0023] Support settlement sensor, pole axial force sensor, and inclination sensor. Tilt sensor layout: 2 / 3~3 / 4 height of the support pole.

[0024] Electronic inclination sensor. Axial force sensor placement: key position between the top support and the template.

[0025] Pressure sensor or force sensor. Settlement monitoring arrangement: below the key support point at the bottom of the formwork.

[0026] Among them, the data acquisition frequency: the vibration signal (acceleration signal and displacement signal) acquisition frequency is 1000Hz to 5000Hz to ensure the capture of high-frequency vibration modes. The geometric deformation signal (strain and displacement field data) acquisition frequency is 500Hz to 2000Hz, which is adapted according to the deformation rate. All collected signals will be marked with timestamps to ensure that the data can be synchronously associated with actual load changes, external interference and other factors. The collected raw signals are denoised, and Kalman filtering and other technologies are used to remove measurement errors and external noise to ensure data accuracy.

[0027] 2. In one embodiment, a local vibration wave and geometric deformation coupled propagation modeling module: obtains a first data set from a data acquisition module, including vibration wave signals (such as time domain waveform signals such as acceleration and displacement) and geometric deformation signals (such as strain and displacement field data of various parts of the support frame). According to the first data set, a finite element analysis method is used to establish a model of the influence of the local deformation area of ​​the support frame on the propagation of vibration waves. The specific operations are: geometric modeling of the support frame, constructing a support frame model including a local deformation area; applying dynamic loads (such as vibration, external impact, etc.) to simulate the deformation response of the support frame under different load conditions; discretizing the support frame model and dividing it into a number of small units for numerical solution.

[0028] Simulate the propagation of vibration waves in the support frame, and consider the influence of local deformation on the propagation of vibration waves. The specific operations are: in the finite element model, apply a vibration source (such as an external vibration source or mechanical shock) and simulate the propagation of the vibration waves generated by it; consider the influence of the local deformation area of ​​the support frame on the vibration wave, such as the attenuation, reflection, and refraction of the vibration wave; use the wave equation to simulate the propagation process of the vibration wave in the support frame, and incorporate the nonlinear effects caused by deformation, subharmonics, and sub-harmonic generation effects into the model.

[0029] The propagation of vibration waves and the influence of geometric deformation are coupled to form a coupled propagation model of local vibration waves and geometric deformation. The specific steps include: defining the interaction relationship between vibration waves and geometric deformation. This relationship is described by the stress-strain equation, combining the strain data and displacement field data of various parts of the support frame. In the modeling process, the influence of deformation on the propagation of vibration waves is considered, such as the influence of strain changes in local deformation areas on the speed and propagation direction of vibration waves. The model is converted into a computable mathematical formula, the specific formula is as follows: in: Indicates that the support frame is in position and time The displacement field at time . Represents the strain field in the local area, reflecting the influence of geometric deformation. Represents the vibration wave propagation speed, which is affected by local geometric deformation. represents the initial conditions, i.e. the effect of the vibration source.

[0030] In the process of establishing the coupled model, nonlinear wave effects are considered, especially the nonlinear distortion effects of small geometric deformations on vibration waves. The operations include: Identifying nonlinear waves caused by local geometric deformations, such as the generation of subharmonics and sub-harmonics. Modeling these wave effects through nonlinear wave equations, and adding nonlinear terms caused by deformations in the simulation process.

[0031] Through the iterative optimization process, the model parameters are adjusted to ensure that the influence of local deformation can be accurately reflected in the propagation of vibration waves. The optimization method includes: Using the least squares method to adjust the model parameters to ensure that the deviation between the simulation results and the actual observed data is minimized. Using sensitivity analysis to evaluate the influence of various parameters on the propagation of vibration waves, adjust the influencing parameters of the local deformation area.

[0032] The calculation results of the coupled propagation model are output, including the time and space characteristics of vibration wave propagation, vibration wave attenuation in each area, reflection and other information. Based on the results of the coupled propagation model, a second data set is generated, which includes the propagation mode, attenuation information, nonlinear effects and the like of the vibration wave.

[0033] Through the above operation steps, the local vibration wave and geometric deformation coupled propagation modeling module can establish an accurate model of the influence of local deformation of the support frame on the propagation of vibration waves, and provide data support for subsequent nonlinear wave effect analysis and adaptive correction as well as time-frequency and spatial decoupling analysis.

[0034] 3. In one embodiment, the nonlinear wave effect analysis module: based on the second data set (generated by the local vibration wave and geometric deformation coupled propagation modeling module), performs a detailed analysis of the nonlinear wave effect of the support frame vibration wave, identifies the distortion effect of small geometric deformation on the vibration wave, and establishes a quantitative relationship between vibration wave propagation and geometric deformation.

[0035] The second data set is received from the local vibration wave and geometric deformation coupled propagation modeling module, and the data set includes information such as the simulated vibration wave propagation characteristics, the influence of local deformation, and nonlinear effects. The data content includes the time domain signal of the vibration wave, deformation strain data, wave propagation velocity, etc.

[0036] Time-frequency analysis: Through the time-frequency analysis method, the frequency components in the vibration signal are decomposed and the nonlinear components are identified. The specific operations include: Multi-scale time-frequency analysis of the vibration wave signal, extraction of the time-frequency characteristics of the vibration wave, and identification of nonlinear changes in the fluctuation process. Use time-frequency diagrams to analyze the spectral components in each time period, pay special attention to the impact of small geometric deformations on the vibration wave, and identify the time period where nonlinear frequencies (such as subharmonics and sub-harmonics) are generated.

[0037] The vibration wave signal is decomposed by high-order Fourier transform to further identify the harmonics, subharmonics and subharmonics caused by small geometric deformations. The specific operation is: perform high-order Fourier analysis on the vibration wave signal, extract the spectrum components of different orders, and identify the nonlinear fluctuations caused by small geometric deformations. Calculate and analyze the nonlinear fluctuation coefficients, and evaluate the influence of harmonics, subharmonics and subharmonics on the vibration wave propagation characteristics.

[0038] Based on the results of time-frequency analysis and high-order Fourier analysis, the nonlinear wave coefficient is calculated to quantitatively describe the wave distortion effect caused by small geometric deformation. The formula is: in: Indicates frequency The nonlinear amplitude at . is the nonlinear fluctuation coefficient, indicating the The intensity of the subharmonics. It is Phase of subharmonics.

[0039] Based on the above analysis results, a quantitative relationship between small geometric deformation and vibration wave propagation is established. The specific steps are as follows: A mapping relationship is established through nonlinear fluctuation coefficients and small geometric deformation data (such as strain, displacement, etc.). Multiple regression analysis or support vector machine SVM machine learning method is used to fit the quantitative relationship between geometric deformation and nonlinear fluctuation to form a third data set. This relationship can be described by the following formula: in: Represents the frequency shift due to geometric deformation. is the original frequency. , is the model coefficient, which represents the influence of geometric deformation on frequency. and They are the strain and displacement data of the local area respectively. is the error term.

[0040] Based on the distortion effect of tiny geometric deformation on vibration waves, the fatigue and stress concentration of the support frame are further analyzed. The specific operation is: using the stress-strain analysis method, according to the stress changes caused by local deformation, the stress concentration areas of various parts of the support frame are identified. Combined with the vibration wave propagation characteristics, the impact of fatigue accumulation effect on the support frame is analyzed to predict potential failure points and damage areas.

[0041] Output the results of nonlinear fluctuation effect analysis, including: Nonlinear fluctuation coefficient caused by small geometric deformation. The offset of vibration wave frequency and its quantitative relationship with geometric deformation. Fatigue and stress concentration of the support frame, providing data support for subsequent automatic adjustment and optimization. Through the above steps, the nonlinear fluctuation effect analysis module can identify and quantitatively describe the influence of small geometric deformation on vibration wave propagation, providing a scientific basis for health monitoring and optimization of the support frame.

[0042] 4. In one embodiment, the adaptive correction algorithm module: based on the third data set (generated by the nonlinear fluctuation effect analysis module), predicts the vibration characteristics of the support frame through an adaptive correction algorithm, generates design parameters for adjusting the geometric shape or material properties of the support frame, reduces vibration resonance and distortion effects, and optimizes the dynamic response of the support frame.

[0043] A third data set is received from the nonlinear fluctuation effect analysis module, and the data set includes the nonlinear fluctuation characteristics of the vibration wave, the quantitative relationship of the small geometric deformation, and the fatigue and stress concentration analysis results. The data content includes the vibration signal error term, the nonlinear fluctuation coefficient, the variation range of the vibration frequency, the strain and displacement data, etc. Based on the third data set, the adaptive correction model is trained using a support vector machine SVM, a random forest or a deep neural network. The training process includes: Dividing the data set into a training set and a validation set, the training set is used for model training, and the validation set is used to test the accuracy of the model. The cross-validation method is used to improve the robustness of the model and ensure consistent performance on different data sets. During the model training process, the model parameters are adjusted by gradient descent so that the model minimizes the error when predicting vibration characteristics.

[0044] The vibration characteristics of the support frame are predicted by the trained model. The specific steps are as follows: Input the vibration wave data, geometric deformation data, frequency offset data, etc. obtained from the nonlinear wave effect analysis module. The prediction model generates the prediction results of the vibration characteristics of the support frame based on the input data, including the predicted vibration frequency, amplitude and possible resonance area. The output prediction results are used for subsequent geometric shape or material property adjustments.

[0045] Through the real-time feedback mechanism, the vibration state of the support frame is continuously monitored during vibration testing or actual use, and the real-time data is fed back to the adaptive correction algorithm module. Through reinforcement learning or adaptive control algorithms, the geometry and material properties are adjusted according to the feedback data to ensure that the vibration response of the support frame under dynamic load is effectively optimized. The adjusted geometry or material properties of the support frame are output and a design parameter report is generated. The vibration characteristic prediction and optimization results are output, including the adjusted frequency, vibration amplitude and material properties, and the corresponding technical documents or implementation plans are formed.

[0046] Through the above steps, the adaptive correction algorithm module can optimize the geometric shape and material properties of the support frame during its use, ensuring that its vibration characteristics are effectively controlled and adjusted, thereby improving the stability and service life of the support frame under dynamic loads.

[0047] 5. In one embodiment, the time-frequency and space decoupling analysis module: combines the time-frequency analysis method with the space decoupling technology to analyze the spatial mode of the vibration wave in different regions independently, and captures the interaction between the vibration wave propagation mode and the geometric deformation in each region. The vibration wave signal and the geometric deformation signal are received from the second data set and the third data set, including the time-domain vibration waveform, the frequency-domain characteristics, and the strain and displacement data of the spatial position.

[0048] The vibration wave signal is analyzed by time-frequency analysis. The specific steps include: Short-time Fourier transform (STFT): Divide the signal into several small time windows, and perform Fourier transform on each time window to obtain the spectrum information at each moment. Wavelet transform: Decompose the vibration wave signal at multiple scales, capture the fluctuation characteristics in different frequency ranges, and obtain the time-frequency distribution diagram of the vibration wave signal. The results of time-frequency analysis will be further used for spatial decoupling to help identify the vibration wave propagation mode in different regions.

[0049] According to the frequency domain characteristics of the vibration wave signal and the geometric deformation data, the vibration wave propagation mode is analyzed independently by region through the spatial decoupling technology. The operation steps are as follows: the support frame is divided into several regions according to the geometric structure and vibration characteristics, and each region corresponds to different vibration wave propagation characteristics. The vibration waves in each region are analyzed independently to identify the vibration mode of the region. Specifically, the vibration mode and strain and displacement data in each region are modeled through finite element analysis FEA or modal analysis methods.

[0050] Use modal decomposition or modal synthesis to decompose the vibration mode of the overall structure into independent vibration modes of each region to improve the accuracy of vibration analysis of each region.

[0051] On the basis of time-frequency and spatial decoupling analysis, the interaction between vibration wave propagation mode and geometric deformation is further analyzed. The following steps are performed: The vibration mode extracted by time-frequency analysis is compared with the vibration characteristics of each region obtained by spatial decoupling analysis to identify the differences and similarities of the vibration modes of each region. Combining the spectral characteristics of the vibration wave with the geometric deformation data of each region, the influence of strain and displacement on the vibration wave propagation mode is analyzed, especially how the deformation in different regions affects the vibration wave propagation in the region. Under high-frequency vibration conditions, the nonlinear effects caused by small geometric deformations are considered, and how local geometric changes change the propagation characteristics of the vibration wave is analyzed to identify possible subharmonic and sub-harmonic generation effects.

[0052] Based on the results of time-frequency analysis and spatial decoupling, a quantitative relationship between vibration waves and geometric deformation is established. A mathematical model is established through regression analysis or machine learning methods (such as support vector machines, neural networks) to describe the relationship between geometric deformation and vibration wave propagation mode. Including the following: The correlation between vibration wave frequency and amplitude and strain and displacement in each area. The influence of small geometric deformation (such as displacement, local strain) on vibration wave propagation speed, propagation direction, reflection and attenuation.

[0053] Output the vibration wave propagation mode, geometric deformation and vibration wave interaction data of each region, including: Frequency domain characteristics and spatial propagation mode of vibration waves. Correlation analysis results of vibration modes and geometric deformations of each region. Simulate the coupling effect of vibration waves and geometric deformations in different regions.

[0054] Through the data sharing and feedback mechanism with the adaptive correction algorithm module, the time-frequency and space decoupling analysis results are input into the adaptive correction algorithm module to optimize the geometric shape or material properties of the support frame.

[0055] The time-frequency and space decoupling analysis module interacts with the adaptive correction algorithm module to dynamically correct the support frame structure according to the vibration wave propagation mode and geometric deformation data to ensure the optimization of its dynamic response. Through the work of the time-frequency and space decoupling analysis module, various characteristics in vibration wave propagation can be accurately captured, and the coupling effect between vibration modes and geometric deformations in different regions can be further revealed, providing necessary data support for subsequent support frame optimization and vibration correction.

[0056] Store data in a database or cloud platform and display monitoring results through display devices. Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A support frame monitoring system based on vibration analysis, characterized in that: include: A data acquisition module, which synchronously acquires vibration wave signals and geometric deformation signals of the support frame under the action of dynamic loads through multiple sensors, wherein the vibration wave signals are time domain waveforms, and the geometric deformation signals are strain and displacement data of various parts of the support frame. In the sensor step, all signals are marked by time stamps to form a first data set; A local vibration wave and geometric deformation coupled propagation modeling module is used to establish a local vibration wave propagation and geometric deformation coupled model based on the first data set, simulate the influence of the local deformation area of ​​the support frame on the vibration wave propagation, and combine the attenuation, reflection, nonlinear effect, subharmonic and subharmonic generation effects of the vibration wave under high frequency conditions to form a second data set; The nonlinear wave effect analysis module performs nonlinear wave analysis based on the second data set, identifies the distortion effect of small geometric deformation on the vibration wave, and establishes a quantitative relationship between the vibration wave propagation and small geometric deformation, revealing the fatigue and stress concentration of the support frame, thereby generating the third data set; An adaptive correction algorithm module predicts the vibration characteristics of the support frame through an adaptive correction algorithm according to the third data set, generates design parameters for adjusting the geometric shape or material characteristics of the support frame, and reduces vibration resonance and distortion effects; The time-frequency and space decoupling analysis module conducts independent regional analysis on the spatial modes of vibration waves based on design parameters combined with time-frequency analysis and space decoupling methods, captures the interaction between the vibration wave propagation mode and geometric deformation in each region, establishes a quantitative model between vibration waves and geometric deformation, and further reveals the coupling effect between the vibration modes and geometric deformation in different regions, providing data support for subsequent support frame optimization and vibration correction.

2. A support frame monitoring system based on vibration analysis according to claim 1, characterized in that: The local vibration wave and geometric deformation coupling model is established by the following steps: according to the first data set, a model of the influence of the local deformation area of ​​the support frame on the vibration wave propagation is established through finite element analysis FEA; the vibration wave propagation of the support frame under dynamic load is simulated, and the attenuation, reflection and nonlinear effects of the local deformation area on the vibration wave are considered; the local vibration wave and geometric deformation coupling model is established by the following formula: in: Indicates that the support frame is in position and time The displacement field at time ; It represents the strain field in the local area, reflecting the influence of geometric deformation; represents the vibration wave propagation speed, which is affected by the local geometric deformation; represents the initial condition.

3. A support frame monitoring system based on vibration analysis according to claim 1, characterized in that: The nonlinear wave effect analysis module includes: identifying the nonlinear components in the vibration wave through the time-frequency analysis method; identifying the harmonic, subharmonic and subharmonic components caused by the small geometric deformation through the high-order Fourier analysis to form a second data set; based on the analysis results obtained through the time-frequency analysis and the high-order Fourier analysis, establishing the quantitative relationship between the small geometric deformation and the vibration wave propagation to form a third data set; the nonlinear wave effect analysis is simulated based on the second data set through the following formula: in: Indicates frequency The nonlinear amplitude at ; is the nonlinear fluctuation coefficient, indicating the The intensity of subharmonics; It is Phase of subharmonics.

4. A support frame monitoring system based on vibration analysis according to claim 1, characterized in that: The adaptive correction algorithm module includes: based on the third data set, performing model training by machine learning method to optimize the prediction of the vibration characteristics of the support frame; generating design parameters for adjusting the geometric shape or material characteristics of the support frame according to the prediction results to reduce vibration resonance and distortion effects and optimize the dynamic response of the support frame; using the following formula: in: Indicates the amount of geometry adjustment; and are the predicted and actual vibration frequency changes, respectively; and are the predicted and actual strain data, respectively; is the weight coefficient.

5. The support frame monitoring system based on vibration analysis according to claim 1, characterized in that: The time-frequency and space decoupling analysis module includes: using the time-frequency analysis method to extract the frequency domain characteristics of the vibration wave; dividing the spatial propagation mode of the vibration wave into regions, using the spatial decoupling technology to independently analyze the local regions, and identifying the interaction between the vibration wave propagation mode and the geometric deformation in different regions; the time-frequency analysis is combined with the spatial decoupling, through the following formula: in, is the vibration mode in the frequency domain, is the frequency, is the space coordinate.

6. The support frame monitoring system based on vibration analysis according to claim 1, characterized in that: The nonlinear effect of vibration waves caused by the minute geometric deformation includes the generation of subharmonics and sub-harmonics, and the generation effect is corrected by adjusting parameters in the nonlinear wave effect analysis module. The minute geometric deformation includes minute displacement of the structure and strain in a local area.

7. The support frame monitoring system based on vibration analysis according to claim 1, characterized in that: The spatial decoupling analysis of vibration wave propagation uses a regional independent analysis module and a multi-region decoupling model to independently model the vibration waves, thereby optimizing local and global vibration analysis effects.

8. The support frame monitoring system based on vibration analysis according to claim 1, characterized in that: The data acquisition module synchronously acquires vibration signals and geometric deformation signals through a multi-sensor cluster, wherein the vibration signal includes an acceleration signal and a displacement signal, and the geometric deformation signal includes a strain signal and displacement field data.

9. The support frame monitoring system based on vibration analysis according to claim 1, characterized in that: The time-frequency and space decoupling analysis module performs multi-scale decomposition of vibration wave signals by using wavelet transform and short-time Fourier transform, thereby extracting vibration wave propagation modes and geometric deformation information at different scales, thereby optimizing the monitoring of the support frame.

10. The support frame monitoring system based on vibration analysis according to claim 1, characterized in that: The adaptive correction algorithm module generates design parameters for adjusting the geometric shape or material properties of the support frame by real-time analysis of the changing trends of vibration data and geometric deformation data. Specifically, the module collects vibration data through sensors, analyzes the vibration mode and geometric deformation of the support frame, and identifies stress concentration areas in various parts; based on vibration and strain analysis, generates design parameters for adjusting the physical properties of existing materials to optimize the dynamic performance of the system.

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