Mixed tower health monitoring method, storage medium and program product

Abstract

The invention discloses a mixed tower health monitoring method, a storage medium and a program product, and relates to the technical field of wind power generation, and the method comprises the steps: obtaining a vibration time sequence signal collected by a vibration sensor, and carrying out the fast Fourier transform of the vibration time sequence signal, and obtaining a vibration spectrum signal; determining vibration amplitude data of the anchor cable based on the vibration spectrum signal, and determining a prestress state of the anchor cable based on the vibration amplitude data; determining vibration frequency data of the anchor cable based on the vibration spectrum signal, and determining a pre-tightening force state of the anchor cable based on the vibration frequency data; if the pre-stress state represents that the initial stress borne by the anchor cable is abnormal and / or the pre-tightening force state is abnormal and represents that the pulling force borne by the anchor cable is abnormal, mixed tower health warning information is generated based on the pre-stress state and the pre-tightening force state. According to the invention, the accuracy and reliability of the mixed tower health monitoring result are improved.

Description

Technical Field

[0001] The present application relates to the field of wind power generation technology, and in particular to a hybrid tower health monitoring method, storage medium and program product. Background Art

[0002] With the rapid development of wind power generation technology, steel-concrete (referred to as steel-concrete) towers are the core supporting structures of wind turbines. Their structural health and operating status directly affect the overall performance, operating efficiency and safety of wind turbines. The anchor cables in steel-concrete towers, as key components connecting the tower body and the foundation, are of vital importance for their stability and safety, and are key factors in ensuring the long-term stable operation of wind turbines. At present, the mainstream approach to monitoring anchor cables in steel-concrete towers is to directly monitor the preload of anchor cables. Although this method can reflect the stress state of anchor cables to a certain extent, its monitoring indicators are relatively single, resulting in limitations in the accuracy and reliability of anchor cable stress monitoring results, which in turn leads to limitations in the accuracy and reliability of concrete tower health monitoring results.

[0003] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of this application is to provide a mixed tower health monitoring method, storage medium and program product, aiming to solve the technical problem that the accuracy and reliability of mixed tower health monitoring are limited.

[0005] To achieve the above objectives, the present application proposes a mixed tower health monitoring method, the method comprising:

[0006] In one embodiment, the hybrid tower health monitoring method is applied to the anchor cable of the wind turbine tower, and a vibration sensor is provided on the anchor cable. The hybrid tower health monitoring method includes:

[0007] Acquire a vibration time series signal collected by the vibration sensor, and perform fast Fourier transform on the vibration time series signal to obtain a vibration spectrum signal;

[0008] Determine the vibration amplitude data of the anchor cable based on the vibration spectrum signal, and determine the prestress state of the anchor cable based on the vibration amplitude data, wherein the prestress state is used to characterize whether the initial stress of the anchor cable before being subjected to an external load is normal;

[0009] Determine the vibration frequency data of the anchor cable based on the vibration spectrum signal, and determine the preload state of the anchor cable based on the vibration frequency data, wherein the preload state is used to indicate whether the tension applied to the anchor cable in actual operation is normal;

[0010] If the prestressed state indicates that the initial stress on the anchor cable is abnormal and / or the abnormal preload state indicates that the tension on the anchor cable is abnormal, a mixed tower health warning message is generated based on the prestressed state and the preload state.

[0011] In one embodiment, the step of determining the vibration amplitude data of the anchor cable based on the vibration spectrum signal comprises:

[0012] Determine the actual amplitude corresponding to each frequency component from the vibration spectrum signal, and calculate the amplitude mean of each actual amplitude;

[0013] The actual amplitudes and the amplitude average are used as vibration amplitude data of the anchor cable.

[0014] In one embodiment, the step of determining the prestressed state of the anchor cable based on the vibration amplitude data comprises:

[0015] Detecting whether the actual amplitude is within a preset amplitude range, and detecting whether the amplitude mean is within a preset mean range;

[0016] If the actual amplitude is within the preset amplitude range and the amplitude mean is within the preset mean range, it is determined that the prestressed state of the anchor cable is that the initial stress on the anchor cable is normal;

[0017] If the actual amplitude is not within the preset amplitude range and / or the amplitude mean is not within the preset mean range, it is determined that the prestressed state of the anchor cable is that the initial stress on the anchor cable is abnormal.

[0018] In one embodiment, the step of determining the vibration frequency data of the anchor cable based on the vibration spectrum signal comprises:

[0019] Determining a main vibration frequency value of the anchor cable based on the vibration spectrum signal;

[0020] Performing bandpass filtering on the vibration spectrum signal to extract a main frequency signal corresponding to the main frequency value of the vibration, and determining the degree of fluctuation of the main frequency amplitude of the main frequency value of the vibration based on the main frequency signal;

[0021] The main frequency value and the main frequency amplitude fluctuation degree are used as the vibration frequency data of the anchor cable.

[0022] In one embodiment, the step of determining the preload state of the anchor cable based on the vibration frequency data comprises:

[0023] Detecting whether the main vibration frequency value is consistent with the preset fixed frequency of the anchor cable, and detecting whether the fluctuation degree of the main frequency amplitude is within a preset fluctuation range;

[0024] If the main vibration frequency value is consistent with the preset fixed frequency and the fluctuation degree of the main frequency amplitude is within the preset fluctuation range, it is determined that the preload state of the anchor cable is that the initial stress on the anchor cable is normal;

[0025] If the main vibration frequency value is inconsistent with the preset fixed frequency and / or the main frequency amplitude fluctuation degree is not within the preset fluctuation range, it is determined that the preload state of the anchor cable is that the initial stress on the anchor cable is abnormal.

[0026] In one embodiment, the wind turbine tower is connected to a plurality of anchor cables, and before the step of acquiring the vibration time series signal collected by the vibration sensor and performing fast Fourier transform on the vibration time series signal to obtain a vibration spectrum signal, the method further includes:

[0027] Acquire the anchor cable installation information of the plurality of anchor cables, wherein the anchor cable installation information at least includes the installation position information of each of the plurality of anchor cables on the tower of the wind turbine generator set, and the relative position information between the plurality of anchor cables;

[0028] Based on the anchor cable installation information, determining a target anchor cable from the plurality of anchor cables according to a preset rule;

[0029] The modal vibration shape of the target anchor cable at a preset order is determined, and a preset number of anti-nodes are determined from the modal vibration shape, and the positions of the anti-nodes are used as the installation positions of the vibration sensors.

[0030] In one embodiment, the step of acquiring the vibration time series signal collected by the vibration sensor includes:

[0031] A preset period is obtained, and a vibration timing signal collected by the vibration sensor is obtained according to the preset period.

[0032] In one embodiment, the step of obtaining a preset period includes:

[0033] Acquire current environmental data of the external environment in which the tower of the wind turbine generator set is located, and acquire historical vibration signals and historical environmental data corresponding to the historical vibration signals, wherein the environmental data at least includes meteorological data and terrain data, and the historical vibration signal is a vibration time series signal of the anchor cable collected last time;

[0034] Inputting the current environment data, the historical vibration signal and the historical environment data into a preset classification model to obtain a current environment type corresponding to the current environment data;

[0035] The monitoring period corresponding to the current environment type is determined from preset monitoring periods corresponding to different environment types, and the monitoring period corresponding to the current type is used as the preset period.

[0036] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the mixed tower health monitoring method described above are implemented.

[0037] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the mixed tower health monitoring method described above are implemented.

[0038] In the present application, a vibration timing signal sent by a vibration sensor is obtained, and a fast Fourier transform is performed on the vibration timing signal to obtain a vibration spectrum signal; the vibration amplitude data of the anchor cable is determined based on the vibration spectrum signal, and the prestress state of the anchor cable is determined based on the vibration amplitude data, wherein the prestress state is used to characterize whether the initial stress of the anchor cable before being subjected to an external load is normal; the vibration frequency data of the anchor cable is determined based on the vibration spectrum signal, and the preload state of the anchor cable is determined based on the vibration frequency data, wherein the preload state is used to characterize whether the tension exerted on the anchor cable in actual operation is normal; if the prestress state characterizes that the initial stress exerted on the anchor cable is abnormal and / or the abnormal preload state characterizes that the tension exerted on the anchor cable is abnormal, then a mixed tower health warning message is generated based on the prestress state and the preload state.

[0039] Compared with directly monitoring the preload, the present application uses a vibration sensor to monitor the vibration characteristics of the anchor cable to indirectly determine the prestress state and preload state of the anchor cable, thereby realizing comprehensive monitoring of the prestress state and preload state of the anchor cable. The stress condition of the anchor cable will directly affect the stress distribution of the mixed tower structure. When the anchor cable is subjected to a large tensile force, the tensile force will be transmitted to the mixed tower structure through the anchor, thereby generating corresponding stress inside the mixed tower. If the tension of the anchor cable is too large or unevenly distributed, it may cause local stress concentration in the mixed tower structure, and even cracks or damage. Therefore, by comprehensively monitoring the prestress state and preload state of the anchor cable, the accuracy of monitoring the stress condition of the anchor cable is improved, thereby improving the accuracy and reliability of health monitoring of the mixed tower.

[0040] Moreover, compared to using an anchor cable meter to monitor preload, the vibration sensor in the present application does not need to be installed in the early stages of wind turbine construction and operation, but can be installed and used during the operation phase of the wind turbine, with fewer restrictions during the construction phase. The vibration sensor can be disassembled and recycled, reducing costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 A flow chart of the first embodiment of the method for monitoring the health of a mixed tower according to the present application;

[0044] Figure 2 A schematic diagram of a process flow provided for the second embodiment of the method for monitoring the health of a mixing tower of the present application;

[0045] Figure 3 A schematic diagram of installing a vibration sensor on an anchor cable according to an embodiment of the present application;

[0046] Figure 4 A schematic diagram of a simplified process of a mixing tower health monitoring method provided in an embodiment of the present application;

[0047] Figure 5 This is a schematic diagram of the module structure of the mixing tower health monitoring device according to an embodiment of the present application;

[0048] Figure 6 Schematic diagram of the equipment structure of the hardware operating environment involved in the mixed tower health monitoring method in the embodiment of the present application.

[0049] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0050] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0051] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0052] The main solution of the embodiment of the present application is: obtaining the vibration timing signal sent by the vibration sensor, performing fast Fourier transform on the vibration timing signal to obtain a vibration spectrum signal; determining the vibration amplitude data of the anchor cable based on the vibration spectrum signal, and determining the prestress state of the anchor cable based on the vibration amplitude data, wherein the prestress state is used to characterize whether the initial stress of the anchor cable before being subjected to external load is normal; determining the vibration frequency data of the anchor cable based on the vibration spectrum signal, and determining the prestress state of the anchor cable based on the vibration frequency data, wherein the prestress state is used to characterize whether the tension exerted on the anchor cable in actual operation is normal; if the prestress state characterizes that the initial stress exerted on the anchor cable is abnormal and / or the abnormal prestress state characterizes that the tension exerted on the anchor cable is abnormal, then generate a mixed tower health warning information based on the prestress state and the prestress state.

[0053] In this embodiment, for ease of description, the following description is made with the mixed tower health monitoring device as the execution subject.

[0054] With the rapid development of wind power generation technology, the health monitoring and status assessment of steel-concrete (SRC) towers, as important supporting structures of wind turbines, are particularly important. The anchor cables in the SRC towers are key components connecting the tower body and the foundation. Their stability and safety are directly related to the operating efficiency and safety of the entire wind turbine. Therefore, the health monitoring of anchor cables has become one of the research hotspots in the field of wind power generation.

[0055] At present, the health monitoring technology of steel-concrete towers with anchor cables as the monitoring object mainly relies on directly monitoring the preload of the anchor cables. For example, by installing anchor cable meters in the monitoring area to test the tension and environmental parameters, and correcting the tension parameters according to the environmental data, real-time monitoring of the anchor cable tension can be achieved.

[0056] However, this method of directly monitoring the preload has the following shortcomings:

[0057] Single monitoring index: This method mainly relies on the preload of the anchor cable as the monitoring index, ignoring other important information of the anchor cable under vibration state, such as vibration frequency, damping ratio, etc., resulting in limitations in the accuracy and reliability of the anchor cable force monitoring results. The anchor cable thus leads to limitations in the accuracy and reliability of the health monitoring results of the mixed tower.

[0058] Installation limitations: The installation location and method of the anchor cable meter usually need to be considered during the design phase of the wind turbine to ensure that it can effectively monitor the preload state of the anchor cable. This means that the anchor cable meter needs to be installed at the beginning of the construction of the wind turbine unit so that it can work with other parts of the entire system. It is not easy to disassemble and reuse it after installation, which increases the cost of construction and maintenance.

[0059] The embodiment of the present application provides a solution. Compared with directly monitoring the prestressing force, the present application uses a vibration sensor to monitor the vibration characteristics of the anchor cable to indirectly judge the prestressed state and prestressed force state of the anchor cable, thereby realizing comprehensive monitoring of the prestressed state and prestressed force state of the anchor cable. The stress condition of the anchor cable will directly affect the stress distribution of the mixed tower structure. When the anchor cable is subjected to a large tensile force, the tensile force will be transmitted to the mixed tower structure through the anchor, thereby generating corresponding stress inside the mixed tower. If the tension of the anchor cable is too large or unevenly distributed, it may cause local stress concentration in the mixed tower structure, and even cracks or damage. Therefore, by comprehensively monitoring the prestressed state and prestressed force state of the anchor cable, the accuracy of monitoring the stress condition of the anchor cable is improved, thereby improving the accuracy and reliability of health monitoring of the mixed tower.

[0060] Furthermore, compared to using an anchor cable meter to monitor preload, the vibration sensor used in the embodiment of the present application can be installed and used during the operation phase of the wind turbine generator set, is less restricted during the construction phase, and the equipment can be disassembled and recycled, thereby reducing costs.

[0061] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a mixed tower health monitoring device, etc. The following takes the mixed tower health monitoring device as an example to illustrate this embodiment and the following embodiments. It should be noted that the mixed tower health monitoring device can be the central control device of the wind turbine generator set, or it can be a monitoring device other than the central control device in the wind turbine generator set, or it can be a third-party device outside the wind turbine generator set that establishes a communication connection with the central control device, which will not be described in detail here.

[0062] Based on this, the present application embodiment provides a mixed tower health monitoring method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the mixing tower health monitoring method of the present application.

[0063] In this embodiment, the mixed tower health monitoring method includes steps S10 to S40:

[0064] Step S10, acquiring a vibration time series signal collected by the vibration sensor, and performing a fast Fourier transform on the vibration time series signal to obtain a vibration spectrum signal;

[0065] Please refer to Figure 2In the tower shown, a vibration sensor is installed on the anchor cable of the tower, and the vibration sensor is installed on the anchor cable, which can capture the vibration information of the anchor cable in real time and transmit it to the mixed tower health monitoring device in the form of a vibration time series signal. It should be noted that the vibration time series signal refers to the vibration data that changes with time and is collected in real time by a vibration sensor (such as an accelerometer, a displacement sensor, etc.). These data are usually presented in the form of a time series, recording the vibration of the anchor cable at different time points. The vibration time series signal is the basis for subsequent analysis, and it contains complete information on the vibration characteristics of the anchor cable, such as amplitude, frequency, phase, etc. The mixed tower health monitoring device performs a fast Fourier transform on the vibration time series signal to obtain a vibration spectrum signal. The process of fast Fourier transform is not described here. The vibration spectrum signal is obtained by converting the vibration time series signal from the time domain to the frequency domain, describing the distribution and intensity of the vibration signal at different frequencies, and is usually displayed in the form of a spectrum diagram. The vibration spectrum signal helps to analyze the vibration characteristics of the anchor cable at different frequencies, such as the main frequency, the secondary frequency and its corresponding amplitude.

[0066] It can be understood that the vibration spectrum signal after fast Fourier transformation can clearly show the vibration of the anchor cable at different frequencies, which is convenient for the subsequent analysis of the anchor cable status. It improves the efficiency and accuracy of data processing and provides a reliable data source for subsequent analysis.

[0067] Step S20, determining the vibration amplitude data of the anchor cable based on the vibration spectrum signal, and determining the prestress state of the anchor cable based on the vibration amplitude data, wherein the prestress state is used to characterize whether the initial stress of the anchor cable before being subjected to an external load is normal;

[0068] It should be noted that the vibration amplitude data is used to characterize the strength of the anchor cable vibration, and at least includes the amplitude of each frequency component and the data obtained by statistical processing based on the amplitude of each frequency component. By comparing the vibration amplitude data at different times or under different working conditions, the change of the prestress state of the anchor cable can be inferred. The prestress state refers to the internal stress state of the anchor cable caused by itself or external factors (such as tensioning, tightening, etc.) before being acted upon by external forces. It is one of the important conditions to ensure the normal operation of the anchor cable. Under normal circumstances, the vibration amplitude data of the anchor cable should be kept within a certain range and should show a stable trend with the change of time and working conditions. If the vibration amplitude data fluctuates abnormally or exceeds the preset range, it may indicate that the prestress state of the anchor cable has changed; abnormal changes in the prestress state may be caused by a variety of reasons, such as loosening, breaking, insufficient or excessive prestressing of the anchor cable, etc. These changes usually cause changes in the vibration characteristics of the anchor cable, which are reflected in the vibration amplitude data.

[0069] It is understandable that by evaluating the prestressed state of the anchor cable through the vibration amplitude, possible problems with the anchor cable during the initial installation stage, such as insufficient or excessive prestress, can be discovered in a timely manner. Monitoring the prestressed state helps ensure that the anchor cable is in the best condition before the wind turbine unit is operated, thereby improving the overall safety and stability of the unit.

[0070] The process of determining the prestress state based on the vibration amplitude data is not limited here. For example, in one feasible implementation, the vibration amplitude data can be compared with the preset amplitude data to obtain a comparison result, and the prestress state can be determined based on the comparison result; for example, in another implementation, a mapping model of vibration amplitude data and prestress can be established, and the vibration amplitude data can be mapped to the anchor cable prestress through the mapping model, and then the anchor cable prestress can be compared with the preset prestress to obtain the prestress state. The first implementation method is simple and direct, and is suitable for scenarios with low requirements for monitoring accuracy; the second method is more accurate and reliable, and is suitable for scenarios with high requirements for monitoring accuracy. In actual applications, the appropriate method can be selected according to specific needs and conditions to realize the prestress state monitoring of the anchor cable, and there is no limitation here.

[0071] Exemplarily, in a feasible implementation manner, the step S20: the step of determining the vibration amplitude data of the anchor cable based on the vibration spectrum signal comprises:

[0072] Step S201, determining the actual amplitude corresponding to each frequency component from the vibration spectrum signal, and calculating the amplitude mean of each actual amplitude;

[0073] From the vibration spectrum signal collected by the vibration sensor, identify and extract the actual amplitude corresponding to each frequency component (usually different peak points in the spectrum), and calculate the amplitude mean of these actual amplitudes, which represents the average level of the overall vibration. By calculating the actual amplitude and mean of each frequency component, we can have a more comprehensive understanding of the vibration characteristics of the anchor cable at different frequencies, providing an accurate data basis for subsequent prestressed state analysis.

[0074] Step S202: taking each of the actual amplitudes and the amplitude mean as vibration amplitude data of the anchor cable.

[0075] The actual amplitudes and their respective mean values ​​are used together as vibration amplitude data to describe the vibration characteristics of the anchor cable for subsequent prestress state assessment. By combining the actual amplitude and the mean value, the vibration of the anchor cable can be more comprehensively reflected, thereby more accurately assessing its prestress state. At the same time, this data representation method also facilitates subsequent data processing and analysis.

[0076] In this embodiment, the step S20: determining the prestressed state of the anchor cable based on the vibration amplitude data, comprises:

[0077] Step S203, detecting whether the actual amplitude is within a preset amplitude range, and detecting whether the amplitude mean is within a preset mean range;

[0078] The actual amplitude is compared with the preset amplitude range, and the amplitude mean is compared with the mean range to determine the prestressed state of the anchor cable. By setting the preset range, it is possible to quickly determine whether the vibration of the anchor cable is in a normal state.

[0079] Step S204: if the actual amplitude is within the preset amplitude range and the amplitude mean is within the preset mean range, determining that the prestressed state of the anchor cable is that the initial stress on the anchor cable is normal;

[0080] If the actual amplitude and mean detected are both within the preset range, it can be judged that the prestressed state of the anchor cable is normal, that is, the initial stress on the anchor cable is within the normal range, indicating that the stress condition of the mixed tower is normal, the internal stress of the mixed tower is normal, and the mixed tower is currently in a healthy state, without the need for additional maintenance or adjustment.

[0081] Step S205: If the actual amplitude is not within the preset amplitude range and / or the amplitude mean is not within the preset mean range, it is determined that the prestressed state of the anchor cable is that the initial stress on the anchor cable is abnormal.

[0082] If any of the detected actual amplitude or mean value is not within the preset range, it can be determined that the prestressed state of the anchor cable is abnormal, that is, the initial stress on the anchor cable exceeds the normal range. It should be noted that the preset amplitude range and the preset mean range can be set based on experience or obtained by experiment, and are not limited here.

[0083] Exemplarily, in another embodiment, the process of determining the prestress state of the anchor cable based on the vibration amplitude data can be: using machine learning or numerical analysis methods to establish a mapping relationship model between the vibration amplitude data and the prestress of the anchor cable, the mapping relationship model can be an analytical model based on physical principles, or a statistical model based on big data training, which is not limited here; using historical vibration amplitude data or experimental data to train the mapping relationship model to obtain a target model, inputting the real-time vibration amplitude data into the target model, and calculating the prestress value of the anchor cable; comparing the calculated prestress value with the preset prestress threshold to determine the prestress state of the anchor cable. It can be understood that the model can more accurately reflect the complex relationship between vibration amplitude and prestress, and is suitable for anchor cable monitoring under complex working conditions and changing environments. With the accumulation of data, the model can be continuously optimized to improve monitoring accuracy and reliability.

[0084] Step S30, determining the vibration frequency data of the anchor cable based on the vibration spectrum signal, and determining the preload state of the anchor cable based on the vibration frequency data, wherein the preload state is used to indicate whether the tension applied to the anchor cable in actual operation is normal;

[0085] Vibration frequency data refers to the distribution of different frequency components in the vibration signal and their corresponding intensity, which is closely related to the natural frequency, vibration mode and other characteristics of the anchor cable. Vibration frequency data helps to identify the vibration mode of the anchor cable and determine whether it is in normal working condition. For example, the deviation of the main frequency may mean that the inherent characteristics of the anchor cable have changed, which may be related to the change of the prestress state. The prestress state refers to the state of force applied and maintained by humans during the installation or maintenance of the anchor cable. Monitoring the changes in the prestress state can timely detect and deal with potential loosening or breakage risks. Under the normal prestress state of the anchor cable, its vibration frequency data should show stable characteristics, the main frequency and its amplitude should be kept within a certain range, and the fluctuation is small with time and working conditions. When the prestress state of the anchor cable is abnormal, such as loosening, breaking or insufficient prestress, its vibration frequency data will change significantly. These changes may include main frequency deviation, the emergence of new frequency components, abnormal increase or decrease in main frequency amplitude, etc.

[0086] It can be understood that by evaluating the preload state of the anchor cable through the vibration frequency, the stress condition of the anchor cable during operation can be monitored in real time, and possible abnormal tension problems can be discovered and dealt with in a timely manner.

[0087] It should be noted that the process of determining the prestress state based on the vibration frequency data is not limited here. For example, in one feasible implementation, the vibration frequency data can be compared with the preset period data to obtain a comparison result, and the prestress state can be determined based on the comparison result. For example, in another implementation, a mapping model of vibration frequency data and prestress can be established, and the vibration frequency data can be mapped to the anchor cable prestress through the mapping model, and then the anchor cable prestress can be compared with the preset prestress to obtain the prestress state. The first implementation method is simple and direct, and is suitable for scenarios with low requirements for monitoring accuracy; the second method is more accurate and reliable, and is suitable for scenarios with high requirements for monitoring accuracy. In actual applications, the appropriate method can be selected according to specific needs and conditions to realize the prestress state monitoring of the anchor cable, and there is no limitation here.

[0088] Exemplarily, in a feasible implementation manner, the step S30: determining the vibration frequency data of the anchor cable based on the vibration spectrum signal comprises:

[0089] Step S301, determining the main vibration frequency value of the anchor cable based on the vibration spectrum signal;

[0090] It should be noted that the main frequency value, i.e. the frequency point where the vibration energy is most concentrated, is an important indicator reflecting the dynamic characteristics of the anchor cable. By finding the peak point in the spectrum graph, the main vibration frequency value of the anchor cable can be determined. Determining the main vibration frequency value helps to accurately capture the main vibration characteristics of the anchor cable and provides a reliable frequency benchmark for subsequent analysis.

[0091] Step S302, performing bandpass filtering on the vibration spectrum signal to extract a main frequency signal corresponding to the main frequency value of the vibration, and determining the degree of fluctuation of the main frequency amplitude of the main frequency value of the vibration based on the main frequency signal;

[0092] The vibration spectrum signal is filtered through a bandpass filter to retain the frequency components near the main frequency value, thereby extracting the main frequency signal. The main frequency signal is further analyzed to determine the fluctuation degree of the main frequency amplitude. The fluctuation degree of the main frequency amplitude reflects the amplitude change of the anchor cable at the main vibration frequency and is an important basis for evaluating the stability of the anchor cable.

[0093] Step S303: taking the main frequency value and the main frequency amplitude fluctuation degree as the vibration frequency data of the anchor cable.

[0094] The obtained main frequency value and main frequency amplitude fluctuation degree are integrated as the vibration frequency data of the anchor cable, which serves as the basis for the subsequent evaluation of the anchor cable preload state.

[0095] In this embodiment, the step S30: determining the preload state of the anchor cable based on the vibration frequency data, comprises:

[0096] Step S304, detecting whether the main vibration frequency value is consistent with the preset fixed frequency of the anchor cable, and detecting whether the fluctuation degree of the main frequency amplitude is within a preset fluctuation range;

[0097] It should be noted that the preset fixed frequency represents the main vibration frequency of the anchor cable under normal working conditions, and the main frequency amplitude fluctuation range is used to evaluate whether the amplitude change of the anchor cable under the current working conditions is normal. By comparing the actual detected vibration main frequency value and the main frequency amplitude fluctuation degree with the preset value, the preload state of the anchor cable can be preliminarily judged.

[0098] It should be noted that the preset fixed frequency and the preset fluctuation range can be set based on experience or obtained by experiment, and there is no limitation here. For example, the process of obtaining the preset fixed frequency and the preset fluctuation range by experiment can be: using active excitation (such as hammering method, etc.) to obtain the free decay vibration response of the anchor cable, and obtaining the natural frequency and damping ratio of the anchor cable (at least the first two modes) by calculation; performing spectrum analysis on the original vibration signal in operation to obtain the main frequency response and amplitude of the anchor cable during normal and stable operation; continuously collecting the vibration signal of the anchor cable under multiple working conditions of normal operation of the wind turbine generator set, performing spectrum analysis on the vibration signal under each working condition to obtain the main frequency response and amplitude under the working condition, and repeating this step multiple times to obtain the stable values ​​of the main frequency and amplitude of the anchor cable vibration under different working conditions.

[0099] Step S305, if the vibration main frequency value is consistent with the preset fixed frequency and the fluctuation degree of the main frequency amplitude is within the preset fluctuation range, it is determined that the preload state of the anchor cable is that the initial stress of the anchor cable is normal;

[0100] When the main frequency value of vibration is consistent with the preset fixed frequency, and the main frequency amplitude fluctuation degree is within the preset amplitude fluctuation range, it can be considered that the initial stress of the anchor cable under the current working condition is in a normal state, indicating that the preload force of the anchor cable has not changed significantly and can maintain the stability and safety of the structure.

[0101] Step S306: if the vibration main frequency value is inconsistent with the preset fixed frequency and / or the main frequency amplitude fluctuation degree is not within the preset fluctuation range, it is determined that the preload state of the anchor cable is that the initial stress of the anchor cable is abnormal.

[0102] When the main frequency value of vibration is inconsistent with the preset fixed frequency, or the fluctuation degree of the main frequency amplitude exceeds the preset amplitude fluctuation range, it can be judged that there is an abnormality in the initial stress state of the anchor cable, which may be caused by changes in the preload force of the anchor cable or damage to the anchor cable itself.

[0103] Exemplarily, in another embodiment, the process of determining the preload state of the anchor cable based on the vibration frequency data may be: using machine learning or numerical analysis methods to establish a mapping relationship model between the vibration frequency data and the anchor cable preload, the mapping relationship model may be an analytical model based on physical principles, or a statistical model based on big data training, which is not limited here; using historical vibration frequency data or experimental data to train the mapping relationship model to obtain a target model, inputting the real-time vibration frequency data into the target model, and calculating the preload value of the anchor cable; comparing the calculated preload value with a preset preload threshold to determine the preload state of the anchor cable. It can be understood that the model can more accurately reflect the complex relationship between vibration amplitude and preload, and is suitable for anchor cable monitoring under complex working conditions and changing environments, and as data accumulates, the model can be continuously optimized to improve monitoring accuracy and reliability.

[0104] Step S40: if the prestress state indicates that the initial stress on the anchor cable is abnormal and / or the pretension state indicates that the tension on the anchor cable is abnormal, then generate a mixed tower health warning message based on the prestress state and the pretension state.

[0105] If the prestressed state indicates that the initial stress of the anchor cable is abnormal, or the preload state indicates that the tension of the anchor cable is abnormal, it may cause local stress concentration in the tower structure, or even cracks or damage, and determine that the tower is currently in an unhealthy state. At this time, the tower health warning information is generated based on the prestressed state and preload state. Through timely warning and processing, the downtime and maintenance cost of the wind turbine unit caused by anchor cable problems can be minimized.

[0106] This embodiment uses a vibration sensor to monitor the vibration characteristics of the anchor cable to indirectly determine the prestressed state and preload state of the anchor cable, thereby achieving comprehensive monitoring of the prestressed state and preload state of the anchor cable, improving the accuracy of monitoring the stress condition of the anchor cable, and thus improving the accuracy and reliability of health monitoring of the concrete tower.

[0107] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 3 Before the step S10 of acquiring the vibration time series signal collected by the vibration sensor and performing fast Fourier transform on the vibration time series signal to obtain a vibration spectrum signal, the method further comprises:

[0108] Step A01, obtaining the anchor cable installation information of the plurality of anchor cables, wherein the anchor cable installation information at least includes the installation position information of each of the plurality of anchor cables on the tower of the wind turbine generator set, and the relative orientation information between the plurality of anchor cables;

[0109] Anchor cable installation information refers to the detailed installation information of all anchor cables on the tower of a wind turbine generator set. The information includes at least the specific installation position of each anchor cable on the tower (such as height, angle, etc.) and the relative orientation information between multiple anchor cables (such as the spacing and direction of adjacent anchor cables). This information is crucial for the subsequent selection of monitoring objects and determination of sensor installation locations.

[0110] By understanding the installation location and relative orientation of the anchor cables in detail, it is possible to more accurately determine which anchor cables have the greatest impact on the stability of the tower, thereby giving priority to monitoring these key anchor cables, avoiding blind installation of sensors, reducing unnecessary monitoring points, and improving overall monitoring efficiency.

[0111] Step A02, based on the anchor cable installation information, determining a target anchor cable from the plurality of anchor cables according to a preset rule;

[0112] It should be noted that the preset rules can be set according to actual needs, and are not limited here. For example, importance, location distribution, force conditions, selection quantity, etc., according to the preset rules, the target anchor cables that need to be monitored are screened out from multiple anchor cables. The target anchor cables may be the anchor cables that have the greatest impact on the overall structural stability of the tower, or the anchor cables that are prone to problems in history. Exemplarily, in a feasible implementation, the preset rule may be the quantity, and the target anchor cables of the preset number of anchor cables are determined from the multiple anchor cables.

[0113] By screening target anchor cables, resources can be more concentrated on monitoring key areas, improving the pertinence and effectiveness of monitoring, avoiding the installation of sensors on all anchor cables, and thus saving monitoring costs and resources.

[0114] Step A03, determining the modal vibration shape of the target anchor cable at a preset order, and determining a preset number of anti-nodes from the modal vibration shape, and using the positions of the anti-nodes as the installation positions of the vibration sensors.

[0115] Determine the modal vibration shape of the target anchor cable at a specific order. The modal vibration shape is a graphical representation of the relative size and phase relationship of the displacement of each point of the structure during free vibration. The modal vibration shape is the relative proportional relationship between the displacement of each point of the structure during free vibration, also known as the vibration shape. In the anchor cable monitoring of the wind turbine tower, the modal vibration shape reflects the vibration form of the anchor cable at different frequencies. The first-order modal vibration shape is the vibration shape with the lowest frequency and is also the form that is most likely to occur when the structure vibrates. The first two-order modal vibration shapes include the two vibration shapes with the lowest and second lowest frequencies.

[0116] Find a preset number of anti-nodes from the modal vibration shape. The anti-node is the point with the largest displacement and the most sensitive vibration response. The position of the anti-node is used as the installation position of the vibration sensor. By installing the sensor at the anti-node position, the vibration signal of the anchor cable can be captured to the maximum extent, and the sensitivity and accuracy of monitoring can be improved. By determining the sensor position through modal analysis, it is possible to avoid installing the sensor in an area with less vibration, thereby optimizing the sensor layout and improving monitoring efficiency.

[0117] In one feasible implementation, the step S10: the step of acquiring the vibration time series signal collected by the vibration sensor, comprises:

[0118] Step S101, obtaining a preset period, and obtaining a vibration time series signal collected by the vibration sensor according to the preset period.

[0119] The preset period is a time interval set by the system or user according to actual needs, which is used to determine the frequency of obtaining the vibration timing signal collected by the vibration sensor. The selection of the preset period depends on many factors, including the vibration characteristics of the monitored object, the accuracy of the analysis requirements, the processing capacity of the system, etc., which are not limited here. Reading data from the vibration sensor regularly according to this period means that at the end of each preset period, the system will trigger a data collection operation to record the vibration signal at the current moment (which may include the values ​​of multiple vibration parameters). This process is continuous until the system stops or reaches a specific monitoring time.

[0120] By collecting data at a fixed preset period, the continuity and consistency of the data can be ensured, and errors caused by unstable sampling frequency can be reduced. Reasonable preset periods can reduce unnecessary data collection, thereby saving storage space and processing time. By adjusting the preset period, the system can flexibly adapt to different monitoring needs and application scenarios, and achieve wider applicability.

[0121] In one feasible implementation, the step S101: obtaining a preset period includes:

[0122] Step S1011, obtaining current environmental data of the external environment in which the tower of the wind turbine generator set is located, and obtaining a historical vibration signal and historical environmental data corresponding to the historical vibration signal, wherein the environmental data at least includes meteorological data and terrain data, and the historical vibration signal is a vibration time series signal of the anchor cable collected last time;

[0123] It should be noted that the current environment type refers to a classification result obtained after analyzing the current environment data through a preset classification model. The current environment type indicates which preset environment type the current environment condition best matches, and is intended to classify environmental conditions with similar vibration characteristics into one category. By identifying the current environment type, the vibration behavior of the anchor cable can be predicted more accurately, and the most appropriate monitoring period can be selected for data collection and analysis accordingly. The current environment data at least includes meteorological data (such as wind speed, wind direction, temperature, humidity, etc.) and terrain data (such as altitude, geomorphic features, etc.). The current environment data reflects the real-time environmental status of the wind turbine tower. The current environment data can be obtained in real time through sensors installed on the wind turbine tower or the surrounding environment, or through third-party sensors, without limitation. The historical vibration signal refers to the most recent time series signal of the anchor cable vibration collected before the current one, which is used for comparative analysis with the current environment. The historical environment data is the environmental data corresponding to the historical vibration signal, which is used to establish the relationship between environmental conditions and anchor cable vibration.

[0124] Step S1012, inputting the current environment data, the historical vibration signal and the historical environment data into a preset classification model to obtain a current environment type corresponding to the current environment data;

[0125] It should be noted that the preset classification model is a pre-trained machine learning or statistical model that can determine which preset environment type the current environment belongs to based on the input environmental data (including meteorological and topographic data) and historical vibration signals. The classification model trained with historical data is used to map the current environmental data to the known environment type so that the appropriate monitoring period can be selected later.

[0126] Step S1013, determining the monitoring period corresponding to the current environment type from the preset monitoring periods corresponding to different environment types, and taking the monitoring period corresponding to the current type as the preset period.

[0127] Preset monitoring cycle: When designing the system, corresponding monitoring cycles are preset for each possible environment type. These cycles may be based on historical data analysis, expert experience or experimental testing, and are designed to balance monitoring accuracy and resource consumption. Dynamic adjustment: The system dynamically selects the corresponding monitoring cycle as the preset cycle based on the current environment type. This dynamic adjustment mechanism makes monitoring more flexible and efficient, and can automatically optimize data collection strategies according to different environmental conditions. According to the current environment type, the most appropriate cycle is selected from the preset monitoring cycles for data collection

[0128] By dynamically adjusting the monitoring cycle, the system can reduce unnecessary data collection and improve monitoring efficiency while ensuring monitoring accuracy. Strong adaptability: This method can automatically adapt to different environmental conditions and dynamically adjust the monitoring cycle without manual intervention, which enhances the adaptability and intelligence level of the system. Resource optimization: Reasonable monitoring cycle settings help save storage space and processing time and optimize the use of system resources.

[0129] For example, in order to help understand the implementation process of the mixed tower health monitoring method obtained by combining this embodiment with the above-mentioned embodiment 1, please refer to Figure 4 , Figure 4 A brief flow chart of a mixed tower health monitoring method is provided, specifically:

[0130] 1) Multi-point monitoring of anchor cable vibration. Anchor cables at different positions of the tower of a steel-concrete wind turbine generator set are selected, and vibration monitoring devices are arranged according to the main vibration mode of the anchor cables. In this embodiment, at least 4 anchor cables are selected, and more than 3 measuring points are arranged for each anchor cable according to the first-order or first two-order modal vibration mode (that is, the anchor cable installation information of the multiple anchor cables is obtained, wherein the anchor cable installation information at least includes the installation position information of each of the multiple anchor cables on the tower of the wind turbine generator set, and the relative position information between the multiple anchor cables; based on the anchor cable installation information, the target anchor cable is determined from the multiple anchor cables according to preset rules; the modal vibration mode of the target anchor cable at a preset order is determined, and a preset number of anti-nodes are determined from the modal vibration mode, and the positions of the anti-nodes are used as the installation positions of the vibration sensors);

[0131] 2) Vibration time series statistics, which may specifically include mean (also known as amplitude mean) and measured amplitude (also known as actual amplitude). By comparing the deviation between the mean and the design value (also known as the preset mean range) (also known as detecting whether the actual amplitude is within the preset amplitude range), the mean change of the prestress of the anchor cable can be reflected. By comparing the measured amplitude with the design amplitude (also known as the preset amplitude range) (also known as detecting whether the amplitude mean is within the preset mean range), the prestress fluctuation / fatigue characteristics can be reflected. The vibration time series (also known as the vibration time series signal) of the anchor cable is directly collected by a vibration sensor. First, the vibration amplitude is analyzed to evaluate whether the fluctuation of the prestress of the anchor cable exceeds the upper and lower limits of the design; secondly, a vibration statistical value analysis is performed to equivalently calculate the change size and trend of the mean prestress of the anchor cable (that is, obtaining the vibration time series signal collected by the vibration sensor, performing a fast Fourier transform on the vibration time series signal to obtain a vibration spectrum signal; determining the vibration amplitude data of the anchor cable based on the vibration spectrum signal, and determining the prestress state of the anchor cable based on the vibration amplitude data);

[0132] 3) Determine the main frequency of vibration based on the vibration time series spectrum, and compare the main frequency of vibration (that is, the main frequency value of vibration) with the natural frequency of the anchor cable (that is, the preset fixed frequency). It should be noted that different natural frequencies may correspond to different working conditions. Therefore, the comparison of the main frequency of vibration with the natural frequency of the anchor cable under different working conditions can realize the frequency deviation analysis under different working conditions (that is, detect whether the main frequency value of vibration is consistent with the preset fixed frequency of the anchor cable), perform band-pass filtering on the main frequency of vibration (that is, perform band-pass filtering on the vibration spectrum signal to extract the main frequency signal corresponding to the main frequency value of vibration, and determine the degree of fluctuation of the main frequency amplitude of the main frequency value of vibration based on the main frequency signal), and then perform relative change analysis of the amplitude of the main frequency of vibration (that is, detect whether the degree of fluctuation of the amplitude of the main frequency is within the preset fluctuation range). The pre-tensioning state of the anchor cable can be reflected according to the results of the frequency deviation analysis and the results of the relative change analysis of the main frequency amplitude of vibration under the current working conditions. Specifically, an active excitation method (such as a hammering method, etc.) is used to obtain the free decay vibration response of the anchor cable, and the natural frequency and damping ratio of the anchor cable (at least the first two modes) are obtained through calculation and processing; the original vibration signal in operation is subjected to spectrum analysis and processing to obtain the main frequency response and amplitude of the anchor cable when it is operating normally and stably under different working conditions, and based on this, the preload state of the anchor cable under the corresponding working condition is monitored (that is, the vibration frequency data of the anchor cable is determined based on the vibration spectrum signal, and the preload state of the anchor cable is determined based on the vibration frequency data);

[0133] 4) Finally, the above analysis results are compared with the actual operating values ​​to evaluate the tightness of the steel strand anchor cable, so as to achieve unit risk assessment and early warning (that is, if the prestressed state indicates that the initial stress on the anchor cable is abnormal and / or the abnormal preload state indicates that the tension on the anchor cable is abnormal, then a tower health warning message is generated based on the prestressed state and the preload state).

[0134] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the mixed tower health monitoring method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0135] This application also provides a mixing tower health monitoring device, please refer to Figure 5 The mixed tower health monitoring device is applied to a wind turbine generator set, and a vibration sensor is arranged on the anchor cable of the tower of the wind turbine generator set. The mixed tower health monitoring device comprises:

[0136] An acquisition module 10 is used to acquire a vibration time series signal collected by the vibration sensor, and perform a fast Fourier transform on the vibration time series signal to obtain a vibration spectrum signal;

[0137] A first determination module 20 is used to determine the vibration amplitude data of the anchor cable based on the vibration spectrum signal, and determine the prestress state of the anchor cable based on the vibration amplitude data, wherein the prestress state is used to characterize whether the initial stress of the anchor cable before being subjected to an external load is normal;

[0138] A second determination module 30 is used to determine the vibration frequency data of the anchor cable based on the vibration spectrum signal, and determine the preload state of the anchor cable based on the vibration frequency data, wherein the preload state is used to indicate whether the tension applied to the anchor cable in actual operation is normal;

[0139] The warning module 40 is used to generate a mixed tower health warning message based on the prestress state and the pretension state if the prestress state indicates that the initial stress on the anchor cable is abnormal and / or the pretension state indicates that the tension on the anchor cable is abnormal.

[0140] Optionally, the first determining module 20 is further configured to:

[0141] Determine the actual amplitude corresponding to each frequency component from the vibration spectrum signal, and calculate the amplitude mean of each actual amplitude;

[0142] The actual amplitudes and the amplitude average are used as vibration amplitude data of the anchor cable.

[0143] Optionally, the first determining module 20 is further configured to:

[0144] Detecting whether the actual amplitude is within a preset amplitude range, and detecting whether the amplitude mean is within a preset mean range;

[0145] If the actual amplitude is within the preset amplitude range and the amplitude mean is within the preset mean range, it is determined that the prestressed state of the anchor cable is that the initial stress on the anchor cable is normal;

[0146] If the actual amplitude is not within the preset amplitude range and / or the amplitude mean is not within the preset mean range, it is determined that the prestressed state of the anchor cable is that the initial stress on the anchor cable is abnormal.

[0147] Optionally, the second determining module 30 is further configured to:

[0148] Determining a main vibration frequency value of the anchor cable based on the vibration spectrum signal;

[0149] Performing bandpass filtering on the vibration spectrum signal to extract a main frequency signal corresponding to the main frequency value of the vibration, and determining the degree of fluctuation of the main frequency amplitude of the main frequency value of the vibration based on the main frequency signal;

[0150] The main frequency value and the main frequency amplitude fluctuation degree are used as the vibration frequency data of the anchor cable.

[0151] Optionally, the second determining module 30 is further configured to:

[0152] Detecting whether the main vibration frequency value is consistent with the preset fixed frequency of the anchor cable, and detecting whether the fluctuation degree of the main frequency amplitude is within a preset fluctuation range;

[0153] If the main vibration frequency value is consistent with the preset fixed frequency and the fluctuation degree of the main frequency amplitude is within the preset fluctuation range, it is determined that the preload state of the anchor cable is that the initial stress on the anchor cable is normal;

[0154] If the main vibration frequency value is inconsistent with the preset fixed frequency and / or the main frequency amplitude fluctuation degree is not within the preset fluctuation range, it is determined that the preload state of the anchor cable is that the initial stress on the anchor cable is abnormal.

[0155] Optionally, the wind turbine tower is connected to a plurality of anchor cables, and the device is further used for:

[0156] Acquire the anchor cable installation information of the plurality of anchor cables, wherein the anchor cable installation information at least includes the installation position information of each of the plurality of anchor cables on the tower of the wind turbine generator set, and the relative position information between the plurality of anchor cables;

[0157] Based on the anchor cable installation information, determining a target anchor cable from the plurality of anchor cables according to a preset rule;

[0158] The modal vibration shape of the target anchor cable at a preset order is determined, and a preset number of anti-nodes are determined from the modal vibration shape, and the positions of the anti-nodes are used as the installation positions of the vibration sensors.

[0159] Optionally, the acquisition module 10 is further used for:

[0160] A preset period is obtained, and a vibration timing signal collected by the vibration sensor is obtained according to the preset period.

[0161] Optionally, the acquisition module 10 is further used for:

[0162] Acquire current environmental data of the external environment in which the tower of the wind turbine generator set is located, and acquire historical vibration signals and historical environmental data corresponding to the historical vibration signals, wherein the environmental data at least includes meteorological data and terrain data, and the historical vibration signal is a vibration time series signal of the anchor cable collected last time;

[0163] Inputting the current environment data, the historical vibration signal and the historical environment data into a preset classification model to obtain a current environment type corresponding to the current environment data;

[0164] The monitoring period corresponding to the current environment type is determined from preset monitoring periods corresponding to different environment types, and the monitoring period corresponding to the current type is used as the preset period.

[0165] The mixed tower health monitoring device provided by the present application adopts the mixed tower health monitoring method in the above embodiment, which can solve the technical problem that the accuracy and reliability of mixed tower health monitoring are limited. Compared with the prior art, the beneficial effects of the mixed tower health monitoring device provided by the present application are the same as the beneficial effects of the mixed tower health monitoring method provided by the above embodiment, and the other technical features in the mixed tower health monitoring device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0166] The present application provides a mixed tower health monitoring device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the mixed tower health monitoring method in the above-mentioned embodiment one.

[0167] Reference below Figure 6 , which shows a schematic diagram of the structure of a mixed tower health monitoring device suitable for implementing the embodiment of the present application. The mixed tower health monitoring device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The mixed tower health monitoring device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0168] like Figure 6As shown, the mixed tower health monitoring device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the mixed tower health monitoring device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the mixed tower health monitoring device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a mixed tower health monitoring device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0169] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0170] The mixed tower health monitoring device provided by the present application adopts the mixed tower health monitoring method in the above embodiment, which can solve the technical problem that the accuracy and reliability of mixed tower health monitoring are limited. Compared with the prior art, the beneficial effects of the mixed tower health monitoring device provided by the present application are the same as the beneficial effects of the mixed tower health monitoring method provided by the above embodiment, and the other technical features in the mixed tower health monitoring device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0171] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0172] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0173] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the mixed tower health monitoring method in the above-mentioned embodiment.

[0174] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0175] The computer-readable storage medium may be included in the mixed tower health monitoring device; or may exist independently without being assembled into the mixed tower health monitoring device.

[0176] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the mixed tower health monitoring device, the mixed tower health monitoring device implements the solution of the above embodiment.

[0177] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0178] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0179] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0180] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned mixed tower health monitoring method, and can solve the technical problem that the accuracy and reliability of mixed tower health monitoring are limited. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the mixed tower health monitoring method provided in the above-mentioned embodiment, and will not be repeated here.

[0181] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned mixed tower health monitoring method when executed by a processor.

[0182] The computer program product provided in this application can solve the technical problem that the accuracy and reliability of mixed tower health monitoring are limited. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the mixed tower health monitoring method provided in the above embodiment, which will not be repeated here.

[0183] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for monitoring the health of a mixed tower, characterized in that: The mixed tower health monitoring method is applied to the anchor cable of the tower of a wind turbine generator set, and a vibration sensor is arranged on the anchor cable. The mixed tower health monitoring method comprises: Acquire a vibration time series signal collected by the vibration sensor, and perform fast Fourier transform on the vibration time series signal to obtain a vibration spectrum signal; Determine the vibration amplitude data of the anchor cable based on the vibration spectrum signal, and determine the prestress state of the anchor cable based on the vibration amplitude data, wherein the prestress state is used to characterize whether the initial stress of the anchor cable before being subjected to an external load is normal; Determine the vibration frequency data of the anchor cable based on the vibration spectrum signal, and determine the preload state of the anchor cable based on the vibration frequency data, wherein the preload state is used to indicate whether the tension applied to the anchor cable in actual operation is normal; If the prestressed state indicates that the initial stress on the anchor cable is abnormal and / or the abnormal preload state indicates that the tension on the anchor cable is abnormal, a mixed tower health warning message is generated based on the prestressed state and the preload state.

2. The method for monitoring the health of a mixed tower according to claim 1, characterized in that: The step of determining the vibration amplitude data of the anchor cable based on the vibration spectrum signal comprises: Determine the actual amplitude corresponding to each frequency component from the vibration spectrum signal, and calculate the amplitude mean of each actual amplitude; The actual amplitudes and the amplitude average are used as vibration amplitude data of the anchor cable.

3. The method for monitoring the health of a mixed tower according to claim 2, characterized in that: The step of determining the prestressed state of the anchor cable based on the vibration amplitude data comprises: Detecting whether the actual amplitude is within a preset amplitude range, and detecting whether the amplitude mean is within a preset mean range; If the actual amplitude is within the preset amplitude range and the amplitude mean is within the preset mean range, it is determined that the prestressed state of the anchor cable is that the initial stress on the anchor cable is normal; If the actual amplitude is not within the preset amplitude range and / or the amplitude mean is not within the preset mean range, it is determined that the prestressed state of the anchor cable is that the initial stress on the anchor cable is abnormal.

4. The method for monitoring the health of a mixed tower according to claim 1, characterized in that: The step of determining the vibration frequency data of the anchor cable based on the vibration spectrum signal comprises: Determining a main vibration frequency value of the anchor cable based on the vibration spectrum signal; Performing bandpass filtering on the vibration spectrum signal to extract a main frequency signal corresponding to the main frequency value of the vibration, and determining the degree of fluctuation of the main frequency amplitude of the main frequency value of the vibration based on the main frequency signal; The main frequency value and the main frequency amplitude fluctuation degree are used as the vibration frequency data of the anchor cable.

5. The method for monitoring the health of a mixed tower according to claim 4, characterized in that: The step of determining the preload state of the anchor cable based on the vibration frequency data comprises: Detecting whether the main vibration frequency value is consistent with the preset fixed frequency of the anchor cable, and detecting whether the fluctuation degree of the main frequency amplitude is within a preset fluctuation range; If the main vibration frequency value is consistent with the preset fixed frequency and the fluctuation degree of the main frequency amplitude is within the preset fluctuation range, it is determined that the preload state of the anchor cable is that the initial stress on the anchor cable is normal; If the main vibration frequency value is inconsistent with the preset fixed frequency and / or the main frequency amplitude fluctuation degree is not within the preset fluctuation range, it is determined that the preload state of the anchor cable is that the initial stress on the anchor cable is abnormal.

6. The method for monitoring the health of a mixed tower according to claim 1, characterized in that: The wind turbine tower is connected to a plurality of anchor cables. Before the step of obtaining the vibration time series signal collected by the vibration sensor and performing fast Fourier transform on the vibration time series signal to obtain a vibration spectrum signal, the method further includes: Acquire the anchor cable installation information of the plurality of anchor cables, wherein the anchor cable installation information at least includes the installation position information of each of the plurality of anchor cables on the tower of the wind turbine generator set, and the relative position information between the plurality of anchor cables; Based on the anchor cable installation information, determining a target anchor cable from the plurality of anchor cables according to a preset rule; The modal vibration shape of the target anchor cable at a preset order is determined, and a preset number of anti-nodes are determined from the modal vibration shape, and the positions of the anti-nodes are used as the installation positions of the vibration sensors.

7. The method for monitoring the health of a mixed tower according to any one of claims 1 to 6, characterized in that: The step of acquiring the vibration time series signal collected by the vibration sensor comprises: A preset period is obtained, and a vibration timing signal collected by the vibration sensor is obtained according to the preset period.

8. The method for monitoring the health of a mixed tower according to claim 7, characterized in that: The step of obtaining a preset period includes: Acquire current environmental data of the external environment in which the tower of the wind turbine generator set is located, and acquire historical vibration signals and historical environmental data corresponding to the historical vibration signals, wherein the environmental data at least includes meteorological data and terrain data, and the historical vibration signal is a vibration time series signal of the anchor cable collected last time; Inputting the current environment data, the historical vibration signal and the historical environment data into a preset classification model to obtain a current environment type corresponding to the current environment data; The monitoring period corresponding to the current environment type is determined from preset monitoring periods corresponding to different environment types, and the monitoring period corresponding to the current type is used as the preset period.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the mixed tower health monitoring method according to any one of claims 1 to 8 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the mixed tower health monitoring method according to any one of claims 1 to 8 are implemented.

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