A method and system for monitoring wind vibration resistance characteristics of a flexible support structure photovoltaic array
By monitoring vibration signals and performing finite element analysis on the photovoltaic array, key nodes were selected, and future environmental wind conditions were predicted in conjunction with wind data. This solved the problem of difficulty in monitoring the wind vibration resistance characteristics of flexible support structure photovoltaic arrays, and enabled accurate early warning and safety assurance for photovoltaic arrays.
Patent Information
- Application Number
- CN202610890045.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-18
- Publication Date
- 2026-11-06
Smart Images
Figure CN123049971A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of photovoltaic power generation technology, and in particular to a method and system for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array. Background Technology
[0002] With the transformation of the global energy structure, photovoltaic power generation, as a clean and renewable energy form, has developed rapidly. To improve power generation efficiency per unit area and adapt to complex terrains such as mountains, water surfaces, and agricultural greenhouses, flexible support structure photovoltaic arrays, characterized by large spans, high clearance, and strong terrain adaptability, have emerged. These structures typically utilize prestressed steel cables as the main load-bearing components, suspending the photovoltaic modules in mid-air, resulting in significant economic benefits and adaptability to various scenarios.
[0003] However, precisely because of its lightweight and large-span structural characteristics, flexible support structure photovoltaic arrays are exceptionally sensitive to wind loads. Under the influence of complex and ever-changing wind fields in nature, the structure is highly susceptible to vibration. This wind-induced vibration phenomenon is a core challenge affecting the safe and stable operation of such photovoltaic power plants. Unlike traditional rigid supports, the vibration of a flexible support system is not an isolated behavior of a single component, but rather manifests as a complex fluid-structure interaction system response. Its vibration energy can propagate and superimpose throughout the entire array, even triggering resonance, leading to accelerated structural fatigue damage, microcracks in components, loosening and breakage of connectors, and in severe cases, potentially causing large-area structural collapse.
[0004] Therefore, how to accurately analyze the wind vibration resistance characteristics of photovoltaic modules and improve the accuracy of wind resistance early warning for flexible support structure photovoltaic arrays is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention
[0005] This invention provides a method and system for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array, which solves the problem of the difficulty in accurately monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array in the prior art.
[0006] On one hand, the present invention provides a method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array, which includes: Vibration signals of photovoltaic modules in a photovoltaic array are monitored, and key nodes of the photovoltaic modules are selected based on the monitoring results. A finite element model is established, and the key nodes are input into the finite element model to obtain the wind vibration resistance strength of the photovoltaic modules. The wind vibration resistance warning value of the photovoltaic modules is determined based on the wind vibration resistance strength, and the photovoltaic array is given a hazard warning based on the wind vibration resistance warning value of the photovoltaic modules.
[0007] Furthermore, the step of screening key nodes of photovoltaic modules based on vibration signal monitoring results includes: acquiring vibration signals from all connection points of the photovoltaic module; performing noise reduction processing on the vibration signals to obtain noise-reduced vibration signals; performing Fourier transform on the noise-reduced vibration signals to obtain the vibration signal energy values of each connection point; determining the vibration stability of the connection points based on the vibration signal energy values; determining the location attention level of the connection points based on the vibration stability; and screening key nodes based on the location attention level.
[0008] Furthermore, determining the vibration stability of the connection part based on the vibration signal energy value includes: obtaining a preset standard vibration frequency, filtering out high-frequency vibration frequencies of the connection part that are greater than the preset standard vibration frequency; determining a stability correction parameter based on the vibration signal energy value, and determining the vibration stability of the connection part based on the stability correction parameter of all high-frequency vibration frequencies and their corresponding vibration signal energy values.
[0009] Furthermore, the step of determining the attention level of the connection part based on vibration stability includes: acquiring the location features of the connection part, determining the location importance based on the location features of the connection part; determining the importance weight of the corresponding connection part based on the location importance, and determining the location attention level of the connection part based on the importance weight and vibration stability.
[0010] Furthermore, the step of establishing a finite element model and inputting key nodes into the finite element model to obtain the wind vibration resistance of the photovoltaic module includes: acquiring a wind vibration test plan, inputting the wind vibration test plan into the finite element model to obtain the node response data of each key node; determining the vibration response time, peak vibration intensity, and vibration displacement based on the node response data; determining the wind vibration resistance characteristic parameters based on the vibration response time, peak vibration intensity, and vibration displacement; acquiring preset allowable wind vibration resistance characteristic parameters and comparing the deviation between the wind vibration resistance characteristic parameters and the preset allowable wind vibration resistance characteristic parameters; and determining the wind vibration resistance of the photovoltaic module corresponding to the wind vibration test plan based on the deviation between the wind vibration resistance characteristic parameters and the preset allowable wind vibration resistance characteristic parameters.
[0011] Furthermore, the step of determining the wind-resistant vibration characteristic parameters based on the vibration response time, peak vibration intensity, and vibration displacement includes: performing an inverse proportional mapping on the peak vibration intensity and vibration displacement, and then performing a weighted summation of the inversely proportional mapped peak vibration intensity and vibration displacement with the vibration response time after standardization to obtain the wind-resistant vibration characteristic parameters.
[0012] Furthermore, determining the wind vibration resistance warning value of the photovoltaic module based on its wind vibration resistance strength includes: determining the environmental hazard level of the corresponding wind vibration test scheme based on the wind vibration resistance strength, and statistically analyzing the environmental hazard level of all wind vibration test schemes; acquiring current environmental wind condition data, and predicting future environmental wind condition data based on the current environmental wind condition data; determining the change in the environmental hazard level of the photovoltaic module based on the future environmental wind condition data, and determining the wind vibration resistance warning value of the photovoltaic module based on the change in the environmental hazard level.
[0013] Furthermore, the step of predicting future environmental wind conditions based on current environmental wind conditions includes: acquiring historical environmental wind conditions data of the photovoltaic array, establishing a wind condition prediction model based on the historical environmental wind conditions data, inputting the current environmental wind conditions data into the wind condition prediction model, and outputting future environmental wind conditions data.
[0014] Furthermore, determining the wind vibration warning value of the photovoltaic module based on changes in environmental hazard level includes: performing curve fitting on the changes in environmental hazard level of the photovoltaic module, and drawing an environmental hazard level prediction curve based on the curve fitting result; obtaining a preset lifetime hazard value, and predicting the time when the environmental hazard level of the photovoltaic module reaches the preset lifetime hazard value based on the environmental hazard level prediction curve; and performing an inverse proportional mapping on the time when the environmental hazard level of the photovoltaic module reaches the preset lifetime hazard value to obtain the wind vibration warning value of the photovoltaic module.
[0015] On the other hand, the present invention also provides a monitoring system for the wind vibration resistance characteristics of a flexible support structure photovoltaic array, comprising: The monitoring module is used to monitor the vibration signals of the photovoltaic modules in the photovoltaic array and to screen the key nodes of the photovoltaic modules based on the vibration signal monitoring results; the analysis module is used to establish a finite element model, input the key nodes into the finite element model, and obtain the wind vibration resistance strength of the photovoltaic modules; the early warning module is used to determine the wind vibration resistance early warning value of the photovoltaic modules based on the wind vibration resistance strength, and to issue a hazard warning for the photovoltaic array based on the wind vibration resistance early warning value of the photovoltaic modules.
[0016] The wind vibration resistance monitoring method and system for flexible support structure photovoltaic arrays provided by this invention facilitates targeted monitoring of subsequent finite element models by screening key nodes of photovoltaic modules, thereby improving monitoring efficiency and effectiveness. It can accurately analyze the wind vibration resistance strength of photovoltaic modules, provide timely wind resistance warnings for photovoltaic arrays, and improve the accuracy of wind resistance warnings for flexible support structure photovoltaic arrays. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0018] Figure 1 This is a flowchart illustrating a method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a flexible support structure photovoltaic array wind vibration resistance monitoring system provided in an embodiment of the present invention. Detailed Implementation
[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.
[0020] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.
[0021] Figure 1 This is a flowchart illustrating a method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array, as provided in an embodiment of the present invention.
[0022] like Figure 1 As shown in the embodiment of the present invention, the execution subject of a method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array can be an electronic device, and the method mainly includes the following steps: S101, Vibration signal monitoring is performed on the photovoltaic modules in the photovoltaic array, and key nodes of the photovoltaic modules are selected based on the vibration signal monitoring results; In some embodiments of this application, the step of screening key nodes of photovoltaic modules based on vibration signal monitoring results includes: acquiring vibration signals of all connection parts of the photovoltaic module; performing noise reduction processing on the vibration signals to obtain noise-reduced vibration signals; performing Fourier transform on the noise-reduced vibration signals to obtain vibration signal energy values of each connection part; determining the vibration stability of the connection parts based on the vibration signal energy values; determining the location attention of the connection parts based on the vibration stability; and screening key nodes based on the location attention.
[0023] In this embodiment, vibration sensors are deployed at all connection points of the photovoltaic module to collect vibration signals. These connection points include: the clamp connection point between the photovoltaic module and the load-bearing steel cable, the connector between the load-bearing steel cable and the stabilizing cable, the connection point between the steel cable and the end anchoring structure, and the pressure block connection point between the photovoltaic module frame and the module itself. The vibration signals are denoised using a wavelet threshold denoising algorithm to eliminate environmental noise and sensor noise interference, resulting in a denoised vibration signal. A Fourier transform is performed on the denoised vibration signal to obtain the energy values of the connection points at different vibration frequencies, thereby calculating the vibration stability of the connection points. Based on the vibration stability, the importance of each connection point is determined, and the connection points are ranked according to their importance. A predetermined proportion of the connection points with the highest ranking are selected as key nodes.
[0024] In some embodiments of this application, determining the vibration stability of the connection part based on the vibration signal energy value includes: obtaining a preset standard vibration frequency, filtering out high-frequency vibration frequencies of the connection part that are greater than the preset standard vibration frequency; determining a stability correction parameter based on the vibration signal energy value, and determining the vibration stability of the connection part based on the stability correction parameter of all high-frequency vibration frequencies and their corresponding vibration signal energy values.
[0025] In this embodiment, high-frequency vibration frequencies exceeding a preset standard vibration frequency at the connection point are selected and denoted as the high-frequency vibration frequency set. Since energy diffuses into the mid-to-high frequency region when the connection point becomes loose, cracked, or experiences stiffness changes, the larger the sum of the vibration frequencies in the high-frequency vibration frequency set, the more unstable the corresponding connection point. Therefore, by selecting the high-frequency vibration frequency set and calculating the ratio of the energy value corresponding to each vibration frequency to the sum of all energy values, a stability correction parameter is determined. After correcting the vibration frequencies according to the stability correction coefficient, the high-frequency vibration frequency set is summed and then inversely mapped to obtain the vibration stability of the connection point.
[0026] In some embodiments of this application, determining the attention level of the connection part based on vibration stability includes: acquiring the location features of the connection part, determining the location importance based on the location features of the connection part; determining the importance weight of the corresponding connection part based on the location importance, and determining the attention level of the connection part based on the importance weight and vibration stability.
[0027] In this embodiment, the importance of a connection is assigned based on its criticality in the structural force path using the analytic hierarchy process (AHP). The end anchorage point, located on the main force transmission path, has the highest importance, followed by the connection point between the mid-span load-bearing cable and the component, and the connection point of the stabilizing cable has the lowest importance. The ratio of the importance of a connection to the sum of the importance of all connections is calculated to obtain the importance weight of the corresponding connection. The importance weight is then multiplied by the vibration stability to obtain the connection attention level.
[0028] S102, Establish a finite element model, input the key nodes into the finite element model, and obtain the wind vibration resistance of the photovoltaic module; In some embodiments of this application, the step of establishing a finite element model and inputting key nodes into the finite element model to obtain the wind vibration resistance of the photovoltaic module includes: obtaining a wind vibration test plan; inputting the wind vibration test plan into the finite element model to obtain node response data for each key node; determining the vibration response time, peak vibration intensity, and vibration displacement based on the node response data; determining wind vibration resistance characteristic parameters based on the vibration response time, peak vibration intensity, and vibration displacement; obtaining preset allowable wind vibration resistance characteristic parameters; comparing the deviation between the wind vibration resistance characteristic parameters and the preset allowable wind vibration resistance characteristic parameters; and determining the wind vibration resistance of the photovoltaic module corresponding to the wind vibration test plan based on the deviation between the wind vibration resistance characteristic parameters and the preset allowable wind vibration resistance characteristic parameters.
[0029] In this embodiment, a finite element model is established based on the design drawings, material properties, prestress level, and boundary conditions of the flexible support structure photovoltaic array. A multi-condition wind vibration test scheme covering different wind speeds, wind directions, and wind spectrum characteristics is formulated. The wind vibration test scheme is used as a load input to the finite element model for transient dynamic analysis. The nodal response data of each key node is solved and extracted. The nodal response data includes vibration response time, peak vibration intensity, and vibration displacement. Then, the wind vibration resistance characteristic parameters are obtained. By comparing the deviation of the wind vibration resistance characteristic parameters with the preset allowable wind vibration resistance characteristic parameters, the wind vibration resistance strength of the photovoltaic module corresponding to the wind vibration test scheme is determined. The larger the deviation, the stronger the wind vibration resistance strength.
[0030] In some embodiments of this application, determining the wind-resistant vibration characteristic parameters based on the vibration response time, peak vibration intensity, and vibration displacement includes: performing an inverse proportional mapping on the peak vibration intensity and vibration displacement, and then performing a weighted summation of the inversely proportional mapped peak vibration intensity and vibration displacement with the vibration response time after standardization to obtain the wind-resistant vibration characteristic parameters.
[0031] In this embodiment, a shorter vibration response time indicates a faster dynamic response of the structure to external vibration stimuli, and a more significant effect of wind vibration, thus accelerating the arrival of the vibration intensity peak. A larger vibration intensity peak will cause more significant stress concentration, potentially leading to material yielding or fatigue damage. A larger vibration displacement usually indicates a greater degree of structural movement under vibration, which may lead to connection failure or structural damage. Therefore, it is necessary to perform an inverse proportional mapping between the vibration intensity peak and vibration displacement, and to standardize the three parameters, converting them to a unified dimension before weighted summation to obtain the wind vibration resistance characteristic parameters.
[0032] S103, determine the wind vibration warning value of the photovoltaic module based on the wind vibration resistance strength, and conduct a hazard warning for the photovoltaic array based on the wind vibration warning value of the photovoltaic module.
[0033] In some embodiments of this application, determining the wind vibration resistance warning value of the photovoltaic module based on the wind vibration resistance strength includes: determining the environmental hazard level of the corresponding wind vibration test scheme based on the wind vibration resistance strength, and statistically analyzing the environmental hazard level of all wind vibration test schemes; obtaining current environmental wind condition data, and predicting future environmental wind condition data based on the current environmental wind condition data; determining the change in the environmental hazard level of the photovoltaic module based on the future environmental wind condition data, and determining the wind vibration resistance warning value of the photovoltaic module based on the change in the environmental hazard level.
[0034] In this embodiment, the stronger the wind vibration resistance, the greater the environmental hazard level of the corresponding wind vibration test scheme. By predicting future environmental wind condition data, the future environmental wind condition data is correlated with each wind vibration test scheme, thereby predicting the change in the environmental hazard level of the photovoltaic module in the future preset period and obtaining the wind vibration resistance warning value.
[0035] In some embodiments of this application, the step of predicting future environmental wind conditions based on current environmental wind conditions includes: acquiring historical environmental wind conditions data of the photovoltaic array, establishing a wind condition data prediction model based on the historical environmental wind conditions data, inputting the current environmental wind conditions data into the wind condition data prediction model, and outputting future environmental wind conditions data.
[0036] In this embodiment, historical and current environmental wind condition data for the area where the photovoltaic array is located are acquired. A wind condition prediction model based on a long short-term memory network is trained using the historical data. The model's input is a continuous time series of wind speed and direction over a past time window, and its output is a predicted sequence of wind speed and direction for a specified future time step. Current environmental wind condition data is input into the prediction model, which outputs future environmental wind condition data.
[0037] In some embodiments of this application, determining the wind vibration warning value of the photovoltaic module based on changes in environmental hazard level includes: performing curve fitting on the changes in environmental hazard level of the photovoltaic module, and plotting an environmental hazard level prediction curve based on the curve fitting result; obtaining a preset lifetime hazard value, predicting the time when the environmental hazard level of the photovoltaic module reaches the preset lifetime hazard value based on the environmental hazard level prediction curve; and performing an inverse proportional mapping on the time when the environmental hazard level of the photovoltaic module reaches the preset lifetime hazard value to obtain the wind vibration warning value of the photovoltaic module.
[0038] In this embodiment, least squares curve fitting is performed to analyze changes in environmental hazard levels. A preset lifetime hazard value, determined according to structural failure criteria, is obtained. The time it takes for the environmental hazard level to reach this preset lifetime hazard value is calculated on the fitted curve, and this time is inversely mapped to obtain the wind vibration warning value for the photovoltaic module. When the wind vibration warning value exceeds a preset warning threshold, a corresponding level of hazard warning is triggered, notifying maintenance personnel to take preventative measures such as changing the array tilt angle, reinforcing the structure, or even shutting down the system to avoid danger.
[0039] Based on the same general inventive concept, this invention also protects a monitoring system for the wind vibration resistance characteristics of a flexible support structure photovoltaic array. Figure 2 This is a schematic diagram of a flexible support structure photovoltaic array wind vibration resistance monitoring system provided in an embodiment of the present invention, comprising: The monitoring module is used to monitor the vibration signals of the photovoltaic modules in the photovoltaic array and to screen the key nodes of the photovoltaic modules based on the vibration signal monitoring results; the analysis module is used to establish a finite element model, input the key nodes into the finite element model, and obtain the wind vibration resistance strength of the photovoltaic modules; the early warning module is used to determine the wind vibration resistance early warning value of the photovoltaic modules based on the wind vibration resistance strength, and to issue a hazard warning for the photovoltaic array based on the wind vibration resistance early warning value of the photovoltaic modules.
[0040] It should be noted that all relevant information that may be involved in the various embodiments of the present invention is processed in strict accordance with the requirements of laws and regulations, following the principles of legality, legitimacy, and necessity, based on the reasonable purpose of the business scenario, and is information that users actively provide or generate during the use of the product / service, as well as information obtained with user authorization.
[0041] The information processed by this invention may vary depending on the specific product / service scenario and should be based on the specific scenario in which the user uses the product / service. This may involve user account information, device information, or other related information. This invention will treat the relevant information and its processing with the utmost diligence.
[0042] This invention places great emphasis on the security of relevant information and has adopted reasonable and feasible security protection measures that comply with industry standards to protect user information and prevent unauthorized access, public disclosure, use, modification, damage or loss of relevant information.
[0043] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.
[0044] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.
[0045] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array, characterized in that, include: Vibration signals are monitored in the photovoltaic modules of the photovoltaic array, and key nodes of the photovoltaic modules are selected based on the vibration signal monitoring results; A finite element model is established, and key nodes are input into the finite element model to obtain the wind vibration resistance of the photovoltaic module; The wind vibration resistance warning value of the photovoltaic module is determined based on the wind vibration resistance strength, and the photovoltaic array danger warning is carried out based on the wind vibration resistance warning value of the photovoltaic module.
2. The method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array according to claim 1, characterized in that, The key nodes for screening photovoltaic modules based on vibration signal monitoring results include: Vibration signals from all connection points of the photovoltaic module are acquired, and noise reduction processing is performed on the vibration signals to obtain noise-reduced vibration signals. The vibration signal after noise reduction is subjected to Fourier transform to obtain the vibration signal energy value of each connection part; The vibration stability of the connection is determined based on the vibration signal energy value, the location attention level of the connection is determined based on the vibration stability, and key nodes are selected based on the location attention level.
3. The method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array according to claim 2, characterized in that, The determination of vibration stability of the connection part based on the vibration signal energy value includes: Obtain a preset standard vibration frequency and filter out high-frequency vibration frequencies at the connection points that are higher than the preset standard vibration frequency; The stability correction parameters are determined based on the vibration signal energy value, and the vibration stability of the connection part is determined based on the stability correction parameters of all high-frequency vibration frequencies and corresponding vibration signal energy values.
4. The method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array according to claim 2, characterized in that, The determination of the location of concern for the connection part based on vibration stability includes: Obtain the location features of the connection points, and determine the importance of the connection points based on these features; The importance weight of the corresponding connection part is determined based on the importance of the part, and the attention level of the connection part is determined based on the importance weight and vibration stability.
5. The method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array according to claim 1, characterized in that, The establishment of the finite element model, by inputting key nodes into the finite element model, yields the wind resistance strength of the photovoltaic module, including: Obtain the wind vibration test plan, input the wind vibration test plan into the finite element model, and obtain the nodal response data of each key node; The vibration response time, peak vibration intensity, and vibration displacement are determined based on the nodal response data. The wind-resistant vibration characteristic parameters are then determined based on the vibration response time, peak vibration intensity, and vibration displacement. Obtain the preset allowable wind vibration resistance characteristic parameters and compare the deviation between the wind vibration resistance characteristic parameters and the preset allowable wind vibration resistance characteristic parameters; The wind resistance strength of the photovoltaic module is determined based on the deviation between the wind resistance characteristic parameters and the preset allowable wind resistance characteristic parameters.
6. The method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array according to claim 5, characterized in that, The determination of wind-resistant vibration characteristic parameters based on vibration response time, peak vibration intensity, and vibration displacement includes: The peak vibration intensity and vibration displacement are inversely proportionally mapped, and the peak vibration intensity and vibration displacement after inverse proportional mapping are standardized with the vibration response time and then weighted and summed to obtain the wind vibration resistance characteristic parameters.
7. The method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array according to claim 1, characterized in that, The determination of the wind vibration resistance warning value of the photovoltaic module based on the wind vibration resistance strength includes: Determine the environmental hazard level of the corresponding wind vibration test scheme based on the wind vibration resistance strength, and statistically analyze the environmental hazard level of all wind vibration test schemes. Acquire current environmental wind condition data and predict future environmental wind condition data based on the current environmental wind condition data; Based on future environmental wind data, determine the changes in the environmental hazard level of photovoltaic modules, and then determine the wind vibration warning value of photovoltaic modules based on the changes in the environmental hazard level.
8. The method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array according to claim 7, characterized in that, The prediction of future environmental wind conditions based on current environmental wind condition data includes: Acquire historical environmental wind data for the photovoltaic array, and establish a wind data prediction model based on the historical environmental wind data. Input the current environmental wind data into the wind data prediction model, and output the future environmental wind data.
9. The method for monitoring the wind vibration resistance characteristics of a flexible support structure photovoltaic array according to claim 7, characterized in that, The determination of the wind vibration resistance warning value of photovoltaic modules based on changes in environmental hazard levels includes: Curve fitting was performed to analyze the changes in the environmental hazard level of photovoltaic modules, and an environmental hazard level prediction curve was plotted based on the curve fitting results. Obtain a preset lifetime risk value, and predict the time when the environmental risk level of the photovoltaic module will reach the preset lifetime risk value based on the environmental risk level prediction curve; By inversely mapping the time when the environmental hazard level of a photovoltaic module reaches a preset lifespan hazard value, the wind vibration resistance warning value of the photovoltaic module is obtained.
10. A monitoring system for the wind vibration resistance characteristics of a flexible support structure photovoltaic array, applied to the method described in any one of claims 1-9, characterized in that, include: The monitoring module is used to monitor the vibration signals of the photovoltaic modules in the photovoltaic array and to screen the key nodes of the photovoltaic modules based on the vibration signal monitoring results. The analysis module is used to build a finite element model. By inputting key nodes into the finite element model, the wind vibration resistance of the photovoltaic module can be obtained. The early warning module is used to determine the wind vibration warning value of the photovoltaic module based on the wind vibration resistance strength, and to issue a hazard warning for the photovoltaic array based on the wind vibration warning value of the photovoltaic module.