Solar photovoltaic flexible support fault monitoring method and system

Abstract

The invention discloses a solar photovoltaic flexible support fault monitoring method and system, and relates to the field of photovoltaic flexible support fault monitoring, and the method comprises the steps: obtaining data collected by a sensor; analyzing the collected data, judging whether a fault occurs or not and the type of the fault, and storing data of a fault event into a database; the data in the database is divided into normal data and fault data, the fault data is classified and matched with the normal data, and a comparison data pair is formed and used for fault judgment at the next moment. According to the invention, the strain gauge sensor, the acceleration sensor and the temperature sensor are comprehensively applied, multi-dimensional data acquisition is realized, more accurate fault judgment is realized, and the problem that the monitoring precision and reliability of a single sensor are limited is solved. According to the method, false alarm and missing alarm are reduced for real-time data acquisition, the reliability of fault monitoring is improved, and potential faults are found in advance and early warning is given out through real-time data analysis and model prediction.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic flexible bracket fault monitoring, and in particular to a solar photovoltaic flexible bracket fault monitoring method and system. Background Art

[0002] With the transformation of the global energy structure and the popularization of clean energy, solar photovoltaic power generation, as an important form of renewable energy, has been continuously expanding its application scale. In photovoltaic power generation systems, the support structure of photovoltaic panels is crucial and directly affects the stability and power generation efficiency of the system. Although traditional rigid brackets meet the support requirements to a certain extent, they have many limitations, such as complex installation, poor ability to adapt to terrain, and limited wind and earthquake resistance. Therefore, flexible brackets, as an emerging support method, have gradually attracted widespread attention in the industry.

[0003] Compared with rigid brackets, flexible brackets have significant advantages: first, flexible brackets are made of lightweight, high-strength materials, can better adapt to various complex terrains, are easy to install, and greatly reduce the difficulty and cost of construction; second, flexible brackets have good flexibility and wind and earthquake resistance, can remain stable under extreme weather conditions, and effectively protect photovoltaic panels from damage; in addition, the design of flexible brackets is more flexible and can be customized according to actual needs to meet the application needs of different scenarios. Therefore, flexible brackets have broad application prospects in the field of photovoltaic panel support and have become an inevitable trend of future development.

[0004] However, during long-term use, flexible brackets will inevitably be affected by various external factors, leading to damage and failure. For example, natural factors such as strong winds, heavy rains, and snow pressure under extreme weather conditions, as well as human factors such as equipment aging and material fatigue, may cause deformation, breakage and other failures of flexible brackets. These failures will not only affect the normal power generation of photovoltaic panels, but may also cause safety hazards.

[0005] At present, the monitoring methods for flexible bracket failures mainly include manual inspections and traditional sensor monitoring. Manual inspections rely on regular manual inspections of the brackets, which have disadvantages such as low efficiency, high cost, and difficulty in real-time monitoring. Although traditional single sensor monitoring can achieve real-time monitoring, it is easily affected by environmental interference and has limited monitoring accuracy and reliability. In addition, existing monitoring methods generally lack the ability to warn and diagnose faults, and are unable to detect potential faults in advance, making it difficult to quickly locate and repair faults after they occur.

[0006] In summary, the prior art lacks an efficient, reliable, and intelligent flexible bracket fault monitoring method and system, which cannot meet the requirements of the photovoltaic power generation system for bracket safety and stability. Therefore, the present invention aims to provide a solar photovoltaic flexible bracket fault monitoring method and system to solve the above technical problems and improve the operating efficiency and safety of the photovoltaic power generation system. Summary of the invention

[0007] In view of the above-mentioned problems, the present invention is proposed.

[0008] Therefore, the problem to be solved by the present invention is that: manual inspection relies on regular manual inspection of the bracket, which has the disadvantages of low efficiency, high cost, and difficulty in real-time monitoring; although traditional single sensor monitoring can achieve real-time monitoring, it is easily affected by environmental interference, and the monitoring accuracy and reliability are limited. In addition, existing monitoring methods generally lack the ability to warn and diagnose faults, and cannot detect potential faults in advance, resulting in difficulty in quickly locating and repairing faults after they occur.

[0009] To solve the above technical problems, the present invention provides the following technical solutions: a solar photovoltaic flexible bracket fault monitoring method, which includes obtaining data collected by sensors; analyzing the collected data to determine whether a fault occurs and the type of fault, and storing the data of the fault event in a database; distinguishing the data in the database into normal data and fault data, classifying the fault data, and pairing it with normal data to form a comparative data pair for fault judgment at the next moment.

[0010] As a preferred solution of the solar photovoltaic flexible bracket fault monitoring method described in the present invention, wherein: the sensor includes a strain gauge sensor, an acceleration sensor and a temperature sensor; the strain gauge sensor is installed at the force concentrated connection point of the flexible bracket to convert the strain change of the bracket into an electrical signal; the acceleration sensor is installed at the top and bottom of the flexible bracket to convert the vibration of the bracket and the photovoltaic panel into an electrical signal; the temperature sensor is installed at the bottom of the photovoltaic panel and on both sides of the flexible bracket to convert the temperature change of the bracket and the photovoltaic panel into an electrical signal; the data collected by the sensor includes real-time collection of electrical signals through a data acquisition system, and classifying the electrical signals into stress and strain electrical signal data, vibration electrical signal data and temperature change electrical signal data, and transmitting them to a data processing unit.

[0011] As a preferred solution of the solar photovoltaic flexible bracket fault monitoring method described in the present invention, the judgment of whether a fault occurs and the type of fault includes judging whether a stress fracture fault occurs based on stress and strain electrical signal data, judging whether a vibration fatigue fault occurs based on vibration electrical signal data, and judging whether a material aging fault occurs based on temperature change electrical signal data.

[0012] As a preferred solution of the solar photovoltaic flexible bracket fault monitoring method described in the present invention, the method comprises: judging whether a stress fracture fault occurs based on stress and strain electrical signal data includes: using a data processing algorithm to eliminate noise and interference of stress and strain electrical signal data and extracting effective strain data; determining the baseline reading of the strain gauge after the stress and strain data collected in the debugging stage are stably running, and monitoring the output signal of the strain gauge sensor in real time during the operation stage and comparing it with the baseline value; converting the strain data into stress values ​​according to the sensitivity of the strain gauge sensor and the elastic modulus of the bracket material, analyzing the stress distribution, and identifying the stress concentration area; comparing the real-time stress value with the yield strength and tensile strength of the bracket material, if the stress value exceeds the yield strength of the material, it indicates that there is a risk of fracture; comparing the real-time stress data with the historical data, analyzing the trend of stress change, if the stress shows a continuous growth or mutation trend, it indicates that a fracture is about to occur, setting a stress threshold, and when the real-time stress value exceeds the threshold, the system sends a stress fracture alarm signal.

[0013] As a preferred solution of the solar photovoltaic flexible bracket fault monitoring method described in the present invention, the method comprises: judging whether a vibration fatigue fault occurs based on the vibration electrical signal data includes: analyzing the vibration frequency, amplitude and duration of the vibration electrical signal data by using Fourier transform and filtering methods; determining the baseline readings of the top and bottom acceleration sensors after the vibration data collected in the debugging stage runs stably, monitoring the output signals of the acceleration sensors in real time during the operation stage and comparing them with the baseline values; extracting and analyzing the characteristic parameters in the top and bottom vibration data to evaluate the vibration fatigue degree of the bracket and the photovoltaic panel; using the fatigue damage accumulation theory, calculating the accumulated amount of vibration fatigue damage at the top and bottom respectively, comparing the accumulated damage amount with the fatigue limit of the bracket material, and evaluating the risk of fatigue fracture; comparing the real-time vibration data with the historical data, analyzing the trend of the top and bottom vibration changes, if the vibration shows a continuous growth or mutation trend, it indicates that a vibration fatigue fault is about to occur, setting the top and bottom vibration thresholds, and when the real-time vibration data exceeds the thresholds, the system sends a vibration fatigue alarm signal.

[0014] As a preferred solution of the solar photovoltaic flexible bracket fault monitoring method described in the present invention, the method comprises: judging whether a material aging failure occurs based on the temperature change electrical signal data includes analyzing the temperature change trend using a data processing algorithm; determining the baseline reading of the temperature sensor after the temperature data collected during the debugging phase runs stably, monitoring the output signal of the acceleration sensor in real time during the operation phase, and comparing it with the baseline value; extracting characteristic parameters from the temperature data including the average temperature, the temperature fluctuation range, and the temperature rise rate, analyzing the temperature characteristic parameters, and evaluating the degree of material aging; comparing the real-time temperature data with the historical data, analyzing the trend of temperature changes, and if the temperature shows a continuous growth or sudden change trend, it indicates that the material is aging, and setting a temperature threshold according to the thermal properties and temperature resistance limit of the material, and when the real-time temperature data exceeds the threshold, the system sends an alarm signal.

[0015] As a preferred solution of the solar photovoltaic flexible bracket fault monitoring method described in the present invention, the fault data is classified and paired with normal data, including, according to the characteristic parameters of the fault data, dividing the fault data into stress fracture fault data, vibration fatigue fault data and material aging fault data, marking each fault event including the fault type, fault degree and occurrence time, marking the normal operating data with the corresponding fault type as a comparison sample for fault judgment, and forming a comparison data pair.

[0016] Another object of the present invention is to provide a solar photovoltaic flexible bracket fault monitoring system, which can collect status data of the photovoltaic flexible bracket in real time and then determine whether the photovoltaic flexible bracket has a fault.

[0017] To solve the above technical problems, the present invention provides the following technical solutions: a system for a solar photovoltaic flexible bracket fault monitoring method, comprising: a data acquisition module, a fault judgment module and a fault storage module; the data acquisition module acquires data collected by the sensor; the fault judgment module analyzes the collected data, determines whether a fault occurs and the type of fault, and stores the data of the fault event in a database; the fault storage module divides the data in the database into normal data and fault data, classifies the fault data, and pairs it with the normal data to form a comparative data pair for fault judgment at the next moment.

[0018] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned solar photovoltaic flexible bracket fault monitoring method are implemented.

[0019] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned solar photovoltaic flexible support fault monitoring method.

[0020] The beneficial effects of the present invention are as follows: the existing manual inspection relies on regular manual inspection of the bracket, which has the disadvantages of low efficiency, high cost, and difficulty in real-time monitoring; although the traditional single sensor monitoring can achieve real-time monitoring, it is easily affected by environmental interference, and the monitoring accuracy and reliability are limited. In addition, the existing monitoring methods generally lack the ability to warn and diagnose faults, and cannot detect potential faults in advance, resulting in difficulty in quickly locating and repairing faults after they occur.

[0021] The present invention automatically collects the status data of the photovoltaic flexible support, reducing the cost of manual inspections, and the present invention collects data in multiple dimensions by comprehensively applying strain gauge sensors, acceleration sensors and temperature sensors to achieve more accurate fault judgment, solving the problem of limited monitoring accuracy and reliability of a single sensor. The present invention collects data in real time to reduce false positives and false negatives, improves the reliability of fault monitoring, and discovers potential faults in advance and issues early warnings through real-time data analysis and model prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0023] Figure 1 This is a flow chart of a solar photovoltaic flexible bracket fault monitoring method in Example 1.

[0024] Figure 2 This is a module structure diagram of a solar photovoltaic flexible support fault monitoring system in Example 2. DETAILED DESCRIPTION

[0025] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0026] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0027] Example 1, reference Figure 1, which is the first embodiment of the present invention, and which provides a solar photovoltaic flexible bracket fault monitoring method, including: Figure 1 As shown:

[0028] S1. Obtain data collected by sensors.

[0029] The sensors include strain gauge sensors, acceleration sensors and temperature sensors.

[0030] The strain gauge sensor is installed at the force-concentrated connection point of the flexible bracket to convert the strain change of the bracket into an electrical signal.

[0031] Accelerometers are installed at the top and bottom of the flexible bracket to convert the vibration of the bracket and photovoltaic panel into electrical signals.

[0032] The temperature sensors are installed at the bottom of the photovoltaic panel and on both sides of the flexible bracket to convert the temperature changes of the bracket and the photovoltaic panel into electrical signals.

[0033] The data acquisition system collects electrical signals in real time, and classifies the electrical signals into stress and strain electrical signal data, vibration electrical signal data, and temperature change electrical signal data, and transmits them to the data processing unit.

[0034] S2. Analyze the collected data to determine whether a fault occurs and the type of fault, and store the data of the fault event in a database.

[0035] Whether stress fracture failure occurs is determined based on stress and strain electrical signal data, whether vibration fatigue failure occurs is determined based on vibration electrical signal data, and whether material aging failure occurs is determined based on temperature change electrical signal data.

[0036] Determining whether a stress fracture failure occurs based on stress and strain electrical signal data specifically includes using a data processing algorithm to eliminate noise and interference in the stress and strain electrical signal data and extract effective strain data.

[0037] After the stress and strain data collected during the commissioning phase are running stably, the baseline reading of the strain gauge is determined, and the output signal of the strain gauge sensor is monitored in real time during the operation phase and compared with the baseline value.

[0038] According to the sensitivity of the strain gauge sensor and the elastic modulus of the bracket material, the strain data is converted into stress values, the stress distribution is analyzed, and the stress concentration area is identified.

[0039] The real-time stress value is compared with the yield strength and tensile strength of the stent material. If the stress value exceeds the yield strength of the material, it indicates a risk of fracture.

[0040] Compare the real-time stress data with the historical data and analyze the trend of stress changes. If the stress shows a trend of continuous growth or sudden change, it indicates that fracture is about to occur. Set the stress threshold. When the real-time stress value exceeds the threshold, the system will issue a stress fracture alarm signal.

[0041] Determining whether a vibration fatigue failure has occurred based on the vibration electrical signal data specifically includes using Fourier transform and filtering methods to analyze the vibration frequency, amplitude and duration of the vibration electrical signal data, determining the baseline readings of the top and bottom acceleration sensors after the vibration data collected during the debugging phase has stabilized, and monitoring the output signal of the acceleration sensor in real time during the operation phase and comparing it with the baseline value.

[0042] The characteristic parameters in the top and bottom vibration data are extracted and analyzed to evaluate the vibration fatigue degree of the bracket and photovoltaic panel; the fatigue damage accumulation theory (such as Miner's criterion) is used to calculate the cumulative amount of vibration fatigue damage at the top and bottom respectively, and the cumulative damage amount is compared with the fatigue limit of the bracket material to evaluate the risk of fatigue fracture.

[0043] Compare the real-time vibration data with the historical data, and analyze the trend of the top and bottom vibration changes. If the vibration shows a continuous growth or sudden change trend, it indicates that a vibration fatigue failure is about to occur. Set the top and bottom vibration thresholds. When the real-time vibration data exceeds the threshold, the system will issue a vibration fatigue alarm signal.

[0044] Determining whether material aging failure occurs based on temperature change electrical signal data specifically includes analyzing temperature change trends using data processing algorithms.

[0045] After the temperature data collected during the debugging phase is running stably, the baseline reading of the temperature sensor is determined, and the output signal of the acceleration sensor is monitored in real time during the operation phase and compared with the baseline value.

[0046] The characteristic parameters extracted from the temperature data include average temperature, temperature fluctuation range and temperature rise rate, and the temperature characteristic parameters are analyzed to evaluate the aging degree of the material.

[0047] Compare the real-time temperature data with the historical data and analyze the trend of temperature changes. If the temperature shows a continuous increase or sudden change trend, it indicates that the material is aging. Set the temperature threshold based on the thermal properties and temperature resistance limit of the material. When the real-time temperature data exceeds the threshold, the system will send out an alarm signal.

[0048] After receiving the early warning or alarm signal, the operation and maintenance personnel will verify the status of the flexible bracket on site. If a fault is confirmed or a fault is about to occur, they will repair or replace it in a timely manner.

[0049] S3. The data in the database are divided into normal data and fault data, the fault data are classified, and paired with the normal data to form a comparison data pair for fault judgment at the next moment.

[0050] According to the characteristic parameters of the fault data, the fault data are divided into stress fracture fault data, vibration fatigue fault data and material aging fault data. Each fault event is labeled including the fault type, fault severity and occurrence time. The normal operating data is labeled with the corresponding fault type as a comparison sample for fault judgment to form a comparison data pair.

[0051] When the next fault diagnosis is made, the comparison data pairs corresponding to the fault type are extracted to provide useful historical data for the fault diagnosis.

[0052] Example 2, reference Figure 2 , which is the second embodiment of the present invention, and is different from the first embodiment in that: a system for a solar photovoltaic flexible bracket fault monitoring method includes a data acquisition module 100, a fault judgment module 200 and a fault storage module 300; the data acquisition module 100 obtains data collected by the sensor; the fault judgment module 200 analyzes the collected data, determines whether a fault occurs and the type of fault, and stores the data of the fault event in a database; the fault storage module 300 divides the data in the database into normal data and fault data, classifies the fault data, and pairs it with the normal data to form a comparison data pair for fault judgment at the next moment.

[0053] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0054] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0055] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0056] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0057] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A solar photovoltaic flexible support fault monitoring method, characterized in that: include, Get the data collected by the sensor; Analyze the collected data to determine whether a fault has occurred and the type of fault, and store the data of the fault event in the database; The data in the database is divided into normal data and fault data, the fault data is classified and paired with the normal data to form a comparison data pair for fault judgment at the next moment.

2. A solar photovoltaic flexible support fault monitoring method as claimed in claim 1, characterized in that: The sensor includes a strain gauge sensor, an acceleration sensor and a temperature sensor; The strain gauge sensor is installed at the force-concentrated connection point of the flexible bracket to convert the strain change of the bracket into an electrical signal; The acceleration sensor is installed at the top and bottom of the flexible bracket to convert the vibration of the bracket and the photovoltaic panel into an electrical signal; The temperature sensor is installed at the bottom of the photovoltaic panel and on both sides of the flexible bracket to convert the temperature changes of the bracket and the photovoltaic panel into electrical signals; The acquisition of data collected by the sensor includes collecting electrical signals in real time through a data acquisition system, classifying the electrical signals into stress and strain electrical signal data, vibration electrical signal data and temperature change electrical signal data, and transmitting the data to a data processing unit.

3. A solar photovoltaic flexible support fault monitoring method as claimed in claim 2, characterized in that: The determination of whether a failure occurs and the type of failure includes determining whether a stress fracture failure occurs based on stress and strain electrical signal data, determining whether a vibration fatigue failure occurs based on vibration electrical signal data, and determining whether a material aging failure occurs based on temperature change electrical signal data.

4. A solar photovoltaic flexible support fault monitoring method and system as claimed in claim 3, characterized in that: The determining whether a stress fracture failure occurs based on the stress and strain electrical signal data includes using a data processing algorithm to eliminate noise and interference in the stress and strain electrical signal data and extract effective strain data; After the stress and strain data collected during the commissioning phase have stabilized, the baseline reading of the strain gauge is determined, and the output signal of the strain gauge sensor is monitored in real time during the operation phase and compared with the baseline value; According to the sensitivity of the strain gauge sensor and the elastic modulus of the bracket material, the strain data is converted into stress values, the stress distribution is analyzed, and the stress concentration area is identified; Compare the real-time stress value with the yield strength and tensile strength of the stent material. If the stress value exceeds the yield strength of the material, it indicates a risk of fracture. Compare the real-time stress data with the historical data and analyze the trend of stress changes. If the stress shows a trend of continuous growth or sudden change, it indicates that fracture is about to occur. Set the stress threshold. When the real-time stress value exceeds the threshold, the system will issue a stress fracture alarm signal.

5. A solar photovoltaic flexible support fault monitoring method as claimed in claim 4, characterized in that: The determining whether a vibration fatigue failure occurs based on the vibration electrical signal data includes analyzing the vibration frequency, amplitude and duration of the vibration electrical signal data using Fourier transform and filtering methods; After the vibration data collected during the commissioning phase is stabilized, the baseline readings of the top and bottom accelerometers are determined, and the output signals of the accelerometers are monitored in real time during the operation phase and compared with the baseline values; Extract and analyze the characteristic parameters from the top and bottom vibration data to evaluate the vibration fatigue of the bracket and photovoltaic panel; Using fatigue damage accumulation theory, calculate the cumulative amount of vibration fatigue damage at the top and bottom respectively, compare the cumulative damage amount with the fatigue limit of the bracket material, and evaluate the risk of fatigue fracture; Compare the real-time vibration data with the historical data, and analyze the trend of the top and bottom vibration changes. If the vibration shows a continuous growth or sudden change trend, it indicates that a vibration fatigue failure is about to occur. Set the top and bottom vibration thresholds. When the real-time vibration data exceeds the threshold, the system will issue a vibration fatigue alarm signal.

6. A solar photovoltaic flexible support fault monitoring method as claimed in claim 5, characterized in that: The determining whether a material aging failure occurs based on the temperature change electrical signal data includes analyzing the temperature change trend using a data processing algorithm; After the temperature data collected during the commissioning phase is running stably, the benchmark reading of the temperature sensor is determined, and the output signal of the acceleration sensor is monitored in real time during the operation phase and compared with the benchmark value; Extract characteristic parameters from temperature data including average temperature, temperature fluctuation range and temperature rise rate, analyze temperature characteristic parameters and evaluate the aging degree of materials; Compare the real-time temperature data with the historical data and analyze the trend of temperature changes. If the temperature shows a continuous increase or sudden change trend, it indicates that the material is aging. Set the temperature threshold based on the thermal properties and temperature resistance limit of the material. When the real-time temperature data exceeds the threshold, the system will send out an alarm signal.

7. A solar photovoltaic flexible support fault monitoring method as claimed in claim 6, characterized in that: The classification of fault data and pairing with normal data includes, according to characteristic parameters of the fault data, classifying the fault data into stress fracture fault data, vibration fatigue fault data and material aging fault data, labeling each fault event including the fault type, fault severity and occurrence time, labeling the normal operating data with the corresponding fault type as a comparison sample for fault judgment, and forming a comparison data pair.

8. A system using a solar photovoltaic flexible support fault monitoring method as claimed in any one of claims 1 to 7, characterized in that: It comprises a data acquisition module (100), a fault judgment module (200) and a fault storage module (300); The data acquisition module (100) acquires data collected by the sensor; The fault judgment module (200) analyzes the collected data, judges whether a fault occurs and the type of the fault, and stores the data of the fault event in a database; The fault storage module (300) divides the data in the database into normal data and fault data, classifies the fault data, and pairs the fault data with the normal data to form a comparison data pair for fault judgment at the next moment.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a solar photovoltaic flexible support fault monitoring method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a solar photovoltaic flexible support fault monitoring method described in any one of claims 1 to 7 are implemented.

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