Fan tower drum vibration monitoring method, device and system

Abstract

The invention relates to a fan tower drum vibration monitoring method, device and system, and the method comprises the steps: obtaining the measuring point distance from a base station to each monitoring point for any monitoring assembly in a plurality of testing time periods; for each test period, according to the measuring point distance of each monitoring point, determining the axis distance from the base station to the intersection point of the central axis of the tower drum and the cross section; according to the axis distances corresponding to the plurality of test periods, vibration data of any group of monitoring assemblies in the tower drum are acquired; and performing early warning processing based on all the vibration data so as to perform tower drum vibration monitoring. According to the invention, the problem of inaccurate monitoring of the vibration of the fan tower drum is solved, and the accuracy of detecting the vibration of the fan tower drum is improved.

Description

Technical Field

[0001] The present application relates to the field of wind power generation, and in particular to a method, device, system, and computer equipment for monitoring wind turbine tower vibration. Background Art

[0002] The wind turbine tower will vibrate during operation, which will not only affect the normal operation of the wind turbine, but also pose a safety hazard to personnel and equipment. Therefore, monitoring the vibration of the wind turbine tower can timely detect abnormal vibration of the wind turbine tower, so that the wind turbine tower can be maintained in time to avoid serious accidents.

[0003] At present, monitoring the vibration of wind turbine towers relies on wired sensors for collection and analysis, but there is still the problem of inaccurate vibration monitoring. Therefore, improving the accuracy of wind turbine tower vibration monitoring has become an urgent problem to be solved. Summary of the invention

[0004] The embodiments of the present application provide a method, device, and system for monitoring wind turbine tower vibration, so as to at least solve the problem of inaccurate monitoring of wind turbine tower vibration in the related art.

[0005] In a first aspect, an embodiment of the present application provides a method for monitoring wind turbine tower vibration, wherein at least one set of monitoring components is arranged on the tower to be monitored, and any set of monitoring components includes at least two monitoring points arranged on the same cross section of the tower, and the method includes:

[0006] During multiple test periods, for any group of monitoring components, obtain the distance between the base station and each monitoring point;

[0007] For each test period, the axis distance from the base station to the intersection of the tower center axis and the cross section is determined based on the measuring point distance of each monitoring point;

[0008] According to the axis center distances corresponding to the multiple test periods, the vibration data of any group of monitoring components in the tower are obtained;

[0009] Early warning processing is performed based on all vibration data to monitor tower vibration.

[0010] In one embodiment, obtaining vibration data of any group of monitoring components in the tower according to the axis center distances corresponding to the multiple test periods includes:

[0011] A three-dimensional coordinate system is constructed with the base station as the origin. The xy plane of the three-dimensional coordinate system is parallel to the cross section. The coordinates of the monitoring points are determined in the three-dimensional coordinate system according to the distance of the measuring points.

[0012] According to the coordinates of each monitoring point, determine the coordinates of the intersection of the tower center axis and the cross section, and obtain the axis distance;

[0013] Based on the axis center distances corresponding to multiple test periods, the change distance of the intersection point is obtained;

[0014] According to the changing distance, the vibration data of any group of monitoring components in the tower is obtained.

[0015] In one embodiment, obtaining vibration data for all monitoring components in the same tower specifically includes:

[0016] Obtain the axial distance of the cross section corresponding to each set of monitoring components on the same tower;

[0017] Based on the axial center distance, the direction of the cross-sectional change and the vibration data of each group of monitoring components are determined.

[0018] In one embodiment, early warning processing is performed based on all vibration data to monitor tower vibration, including:

[0019] Perform time domain analysis on all vibration data to obtain the vibration amplitude of the vibration data;

[0020] When the vibration amplitude is greater than the preset alarm threshold, an alarm is issued.

[0021] In one embodiment, early warning processing is performed based on all vibration data to monitor tower vibration, and further includes:

[0022] Perform spectrum analysis on all vibration data to obtain distribution information of vibration data at different frequencies;

[0023] Perform waveform analysis on all vibration data to obtain waveform information of the vibration data;

[0024] When the vibration amplitude is less than or equal to the preset alarm threshold, it is determined whether to issue an early warning based on the distribution information and waveform information.

[0025] In one embodiment, after obtaining the distribution of vibration data at different frequencies and the waveform information of the vibration data, the method further includes:

[0026] The vibration amplitude, distribution and waveform are transmitted to the monitoring server for storage, and spectrum analysis and waveform analysis are performed to achieve early warning.

[0027] In one embodiment, obtaining the distance from the base station to each monitoring point includes:

[0028] Obtain the delay time based on the time when the base station sends the signal and receives the return signal from the monitoring point;

[0029] According to the delay time, the distance from the base station to each monitoring point is obtained.

[0030] In a second aspect, an embodiment of the present application provides a wind turbine tower vibration monitoring device, comprising:

[0031] A first acquisition module is used to acquire the measuring point distance from the base station to each monitoring point for any group of monitoring components within multiple test periods;

[0032] A determination module is used to determine the axis distance from the base station to the intersection of the central axis of the tower and the cross section according to the measuring point distance of each monitoring point for each test period;

[0033] The second acquisition module is used to acquire vibration data of any group of monitoring components in the tower according to the axis center distances corresponding to the multiple test periods;

[0034] The processing module is used to perform early warning processing based on all vibration data to monitor tower vibration.

[0035] In a third aspect, an embodiment of the present application provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the wind turbine tower vibration monitoring method as described in the first aspect above is implemented.

[0036] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the wind turbine tower vibration monitoring method as described in the first aspect above.

[0037] The wind turbine tower vibration monitoring method, device, and system provided in the embodiments of the present application have at least the following technical effects.

[0038] At least one set of monitoring components is set on the tower to be monitored. Any set of monitoring components includes at least two monitoring points set on the same cross section of the tower. For any monitoring component, by setting multiple monitoring points on the tower, the measuring point distance of each monitoring point is obtained, thereby obtaining the axial distance from the base station to the center axis of the tower and the focus of the cross section, and obtaining vibration data based on the axial distance in multiple test time periods. All vibration data are processed for early warning, thereby completing the monitoring of the tower and improving the accuracy of the tower vibration.

[0039] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0041] Figure 1 is a flow chart of a method for monitoring wind turbine tower vibration according to an exemplary embodiment;

[0042] Figure 2 is a schematic cross-sectional view of two monitoring points according to an exemplary embodiment;

[0043] Figure 3 is a schematic cross-sectional view of three monitoring points according to an exemplary embodiment;

[0044] Figure 4 is a schematic cross-sectional view of four monitoring points according to an exemplary embodiment;

[0045] Figure 5 is a schematic diagram of a three-dimensional coordinate system of two monitoring points according to an exemplary embodiment;

[0046] Figure 6 is a schematic diagram showing movement of wind turbine tower vibration monitoring points according to an exemplary embodiment;

[0047] Figure 7 is a schematic diagram showing a base station and a wind turbine tower receiving a signal according to an exemplary embodiment;

[0048] Figure 8 is a schematic diagram showing obtaining vibration data at two monitoring points according to an exemplary embodiment;

[0049] Fig. 9 is a schematic diagram showing vibration data obtained at three monitoring points according to an exemplary embodiment;

[0050] Fig.10 is a schematic diagram showing vibration data obtained at four monitoring points according to an exemplary embodiment;

[0051] Fig.11 is a schematic diagram showing wind turbine tower vibration monitoring according to an exemplary embodiment;

[0052] Fig.12 is a block diagram of a wind turbine tower vibration monitoring device according to an exemplary embodiment;

[0053] Fig.13 is a block diagram of an electronic device according to an exemplary embodiment.

[0054] In the above drawings, the meanings of the reference numerals are as follows:

[0055] 1. First monitoring point; 2. Second monitoring point; 3. Third monitoring point; 4. Fourth monitoring point;

[0056] 1′, the first monitoring point after vibration; 2′, the second monitoring point after vibration; 3′, the third monitoring point after vibration; 4′, the fourth monitoring point after vibration;

[0057] r, radius of the cross section; A, center of the cross section; S1, distance between the first monitoring point; S2, distance between the second monitoring point; S3, distance between the third monitoring point; S4, distance between the fourth monitoring point; L, distance between the axis centers;

[0058] A′, center of the cross section; S1′, measuring point distance of the first monitoring point after vibration; S2′, measuring point distance of the second monitoring point after vibration; S3′, measuring point distance of the third monitoring point after vibration; S4′, measuring point distance of the fourth monitoring point after vibration; L′, axial center distance after vibration. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0060] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0061] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0062] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0063] The wind turbine tower will vibrate during operation, which not only affects the normal operation of the wind turbine generator set, but also easily poses a safety hazard to personnel and equipment. Therefore, vibration monitoring of the wind turbine tower can detect abnormal vibration in time and make timely corrections based on the abnormal vibration, thereby preventing serious accidents such as the collapse of the wind tower. At present, vibration sensors, vibration displacement sensors and other devices are used to monitor the vibration of wind turbine towers, but only the data detected by these sensors are used and transmitted, which has the problem of low accuracy in monitoring the vibration of wind turbine towers.

[0064] Based on the above situation, the embodiments of the present application provide a method, device and system for monitoring wind turbine tower vibration.

[0065] In a first aspect, an embodiment of the present application provides a method for monitoring wind turbine tower vibration. Figure 1 is a flow chart of a method for monitoring wind turbine tower vibration according to an exemplary embodiment. Figure 1 As shown in the figure, the wind turbine tower vibration monitoring method includes:

[0066] At least one set of monitoring components is arranged on the tower to be monitored, and any set of monitoring components includes at least two monitoring points arranged on the same cross section of the tower. In a set of monitoring components, the number of monitoring points is greater than or equal to 2 and less than or equal to 4. Preferably, the line connecting each monitoring point and the center of the cross section is perpendicular to each other.

[0067] The relative position relationship data of the two monitoring points is known, for example, the angle between the monitoring point and the center of the cross section is used as the relative position relationship data of the two monitoring points. In the embodiment of the present invention, the specific value of the angle is not limited, and the following description is taken as an example of an angle of 90°. Figure 2 is a schematic cross-sectional view of two monitoring points according to an exemplary embodiment. Figure 2 As shown, the midline of the line connecting the first monitoring point and the second monitoring point passes through the center of the cross section. The line connecting the first monitoring point and the center of the cross section, and the line connecting the second monitoring point and the center of the cross section are perpendicular to each other and intersect at the center of the cross section. The monitoring component includes a distance measuring sensor, which can obtain the distance between the sensor and the tower and accurately locate the position of the monitoring point.

[0068] In one embodiment, three monitoring points are set on the wind turbine tower, and the positional relationship of the three monitoring points satisfies: one of the three monitoring points is selected as the target monitoring point, the lines connecting the remaining two monitoring points and the target monitoring point are perpendicular to each other, and the line connecting the two monitoring points passes through the center of the cross-section. Figure 3 is a schematic cross-sectional view of three monitoring points according to an exemplary embodiment. Figure 3 As shown, the first monitoring point is used as the target monitoring point, the line connecting the first monitoring point and the second monitoring point, and the line connecting the first monitoring point and the third monitoring point are perpendicular to each other, and the line connecting the second monitoring point and the third monitoring point passes through the center of the cross section.

[0069] In another embodiment, four monitoring points are set on the wind turbine tower, and the positional relationship of the four monitoring points satisfies: the line connecting any monitoring point and its two adjacent monitoring points is perpendicular to each other, and the line connecting any two monitoring points passing through the center of the cross-section is perpendicular to each other, and the intersection point is the center of the cross-section. Figure 4 is a schematic cross-sectional view of four monitoring points according to an exemplary embodiment. Figure 4 As shown, the line connecting the third monitoring point and the first monitoring point, and the line connecting the third monitoring point and the second monitoring point are perpendicular to each other. The line connecting the first monitoring point and the second monitoring point, and the line connecting the third monitoring point and the fourth monitoring point are perpendicular to each other, and the intersection of the two lines is the center of the cross section.

[0070] In the process of monitoring tower vibration, the more monitoring points there are on the same cross section of the tower, the more accurate the monitoring result. Based on the positions of the above monitoring points on the tower, the wind turbine tower vibration monitoring method specifically includes:

[0071] Step S101: within a plurality of test periods, for any group of monitoring components, obtain the measuring point distance from the base station to each monitoring point.

[0072] During multiple test periods, for any group of monitoring components, a ranging sensor is placed at each monitoring point. The signal transmitter of the base station sends a wireless signal to the monitoring point of the tower to be monitored at a preset transmission frequency, and the ranging sensor at the monitoring point receives the wireless signal and returns the wireless signal to the signal receiver of the base station. The signal receiver of the base station receives the wireless signal returned by the monitoring point. The base station obtains the measuring point distance from the base station to each monitoring point based on the delay time between sending the wireless signal and receiving the returned wireless signal. Optionally, the wireless signal includes a v2x radio frequency signal, a wireless microwave signal, and a wireless laser signal.

[0073] The wireless ranging method is adopted, and there is no need to lay complex wired sensors on the tower, which reduces the manpower and time costs in the monitoring process and improves the economic benefits of monitoring tower vibration.

[0074] The signal receiver of the base station receives the returned wireless signal and transmits the wireless signal to the signal preprocessing module of the base station. The preprocessing module demodulates, filters, and denoises the received wireless signal through algorithms to remove possible noise and interference, making the wireless signal clearer and more reliable. Preprocessing the wireless signal provides a reliable basis for subsequent analysis and processing.

[0075] The pre-processing module sends the processed signal to the control room. The processing module in the control room processes the signal again. The processing includes signal decoding, data analysis, and anomaly detection. The signal is converted into a form that can be understood and analyzed, thereby extracting information related to vibration. The processing module in the control room ensures the reliability and accuracy of the data.

[0076] The wireless ranging method sets the wireless sensor on the tower, which reduces the complex laying of the tower, simplifies the installation and maintenance of tower vibration monitoring, and improves the economic benefits of tower vibration monitoring. And the returned wireless signal is pre-processed to make the signal clearer and more reliable, providing a reliable basis for subsequent analysis and processing. The control room processes the signal again, converting the signal into an understandable and analyzable form to extract relevant information. Two signal processing can ensure the integrity and accuracy of the data.

[0077] Step S102: for each test period, determine the axis distance from the base station to the intersection of the central axis of the tower and the cross section according to the measuring point distance of each monitoring point.

[0078] Figure 5 is a schematic diagram of a three-dimensional coordinate system of two monitoring points according to an exemplary embodiment. Figure 5 As shown, a three-dimensional coordinate system is constructed with the base station as the origin, and the xy plane of the three-dimensional coordinate system is parallel to the cross section. The coordinates of the monitoring point are determined in the three-dimensional coordinate system according to the distance of the measuring point. Since the tower is a tall cylinder, the intersection of the central axis of the tower and the cross section is the center of the cross section. When a ranging sensor is installed at each monitoring point, the radius of the corresponding cross section can be obtained. Therefore, based on the coordinates of the monitoring point and the radius of the cross section, the coordinates of the intersection of the central axis of the tower and the cross section can be obtained through trigonometric formulas or other mathematical formulas. Then the axis distance is obtained based on the principle of spatial geometry.

[0079] like Figure 5 As shown, in the three-dimensional coordinate system, the coordinates of the first monitoring point and the second monitoring point are determined according to the measuring point distance of the first monitoring point and the measuring point distance of the second monitoring point, and the coordinates of the center of the cross section are obtained by combining the trigonometric function formula. Based on the coordinates of the center of the cross section and the principle of space geometry, the axis distance is obtained.

[0080] Step S103: Obtain vibration data of any group of monitoring components in the tower according to the axial center distances corresponding to the multiple test time periods.

[0081] Vibration data includes vibration amplitude, vibration phase, and vibration frequency. The vibration of the wind turbine tower will change the position of the monitoring point, and the axis distance will also change accordingly. According to the axis distance in multiple test periods, the direction and distance of the center change of the cross section are determined in the three-dimensional coordinate system to obtain the vibration amplitude of the monitoring component. Figure 6 is a schematic diagram showing the movement of wind turbine tower vibration monitoring points according to an exemplary embodiment. Figure 6 As shown, the axial distance of the center of the cross section is determined according to the measuring point distance of the first monitoring point and the measuring point distance of the second monitoring point. The axial distance of the center of the cross section after vibration is determined according to the measuring point distance of the first monitoring point after vibration and the measuring point distance of the second monitoring point after vibration. Based on the axial distance before and after vibration, the horizontal plane where the cross section is located is obtained, and according to the moving distance of the center of the cross section, the vibration amplitude of the monitoring component, that is, the vibration amplitude of the wind turbine tower vibration, can be obtained.

[0082] In a three-dimensional coordinate system, the position of the center of the cross section of the monitoring component after vibration and the position of the center of the cross section before vibration are obtained, and the corresponding position vectors are obtained respectively. According to the angle formed by the position vectors of the center before and after vibration, the vibration phase of the monitoring component is obtained. Among them, the unit of vibration phase is usually radian or degree.

[0083] The vibration period of the monitoring component is determined according to the time of multiple test periods, and the vibration frequency of the monitoring component is obtained according to the frequency calculation formula. The frequency calculation formula is: f=1 / T, f is the vibration frequency, and T is the vibration period of the monitoring component.

[0084] Optionally, obtaining the vibration data of the monitoring component further includes, based on the signal returned by the ranging sensor, converting the signal from the time domain to the frequency domain using Fourier transform, thereby obtaining the vibration data.

[0085] It should be noted that at least one set of monitoring components is provided on a single wind turbine tower. For all monitoring components on a single wind turbine tower, obtaining vibration data specifically includes:

[0086] Each group of monitoring components is set on a different cross-section of the wind turbine tower. In each group of monitoring components, the number of monitoring points is greater than or equal to 2 and less than or equal to 4, and the number of monitoring points in different cross-sections of the same wind turbine tower is the same. Based on the positions of the above-mentioned monitoring points, the axial distance of the cross-section corresponding to each group of monitoring components on the same tower is obtained. Based on the axial distance, the direction of the cross-section change and the vibration data of each group of monitoring components are determined. For the moving distance of the center of the cross-section corresponding to each group of monitoring components, the vibration amplitude of each monitoring component can be obtained, that is, the vibration amplitude of the wind turbine tower vibration.

[0087] also, Figure 7 is a schematic diagram showing a base station and a wind turbine tower receiving a signal according to an exemplary embodiment. Figure 7 As shown, the base station can receive signals sent by multiple wind turbine towers, thereby obtaining vibration data of the wind turbine towers, and then detecting the wind turbine towers. For each monitoring point in the wind turbine tower, when sending a signal to the base station, the identification code of the wind turbine tower is carried, so that the base station can identify the corresponding wind turbine tower and monitoring point from the received signal. For example, wind turbine tower A and wind turbine tower B, both wind turbine towers are provided with 3 monitoring points, and the sent signal carries their respective identification codes. The identification codes of the 3 monitoring points of wind turbine tower A are A1, A2, and A3, respectively, and the identification codes of the 3 monitoring points of wind turbine tower B are B1, B2, and B3, respectively. When the base station receives the signals of wind turbine tower A and the wind turbine at the same time, and according to the identification codes A1, A2, and A3 in the signal, it is determined that the source of the signal is the three monitoring points in wind turbine tower A. According to the identification codes B1, B2, and B3 in the signal, it is determined that the source of the signal is the three monitoring points of the wind turbine tower.

[0088] In one embodiment, Figure 8 is a schematic diagram showing how vibration data is obtained at two monitoring points according to an exemplary embodiment. Figure 8 As shown, the base station determines the distance between the first monitoring point and the second monitoring point based on the signals returned by the first monitoring point and the second monitoring point, and obtains the axis distance. And according to the axis distance, the position of the movement of the center of the cross section circle is determined, and the amplitude of the monitoring component is obtained, thereby obtaining a waveform diagram about the amplitude, wherein, in the waveform diagram, when the amplitude is greater than 0, the amplitude is positive; when the amplitude is less than 0, the amplitude is negative. The positive or negative amplitude represents the direction of vibration.

[0089] In one embodiment, Fig. 9 is a schematic diagram showing how vibration data is obtained at three monitoring points according to an exemplary embodiment. Fig. 9 As shown, the base station determines the distance between the first monitoring point, the second monitoring point and the third monitoring point based on the signals returned by the first monitoring point, the second monitoring point and the third monitoring point, and obtains the axial distance. According to the axial distance, the position of the movement of the center of the cross section circle is determined, and the amplitude of the monitoring component is obtained, thereby obtaining a waveform diagram about the amplitude, wherein in the waveform diagram, when the amplitude is greater than 0, the amplitude is positive; when the amplitude is less than 0, the amplitude is negative. The positive or negative amplitude represents the direction of the vibration.

[0090] In one embodiment, Fig.10 is a schematic diagram showing how vibration data is obtained at four monitoring points according to an exemplary embodiment. Fig.10 As shown, the base station determines the distances between the first monitoring point, the second monitoring point, the third monitoring point and the fourth monitoring point according to the signals returned by the first monitoring point, the second monitoring point, the third monitoring point and the fourth monitoring point, and determines the position of the movement of the center of the cross section according to the axis center distance, and obtains the amplitude of the monitoring component, thereby obtaining a waveform diagram about the amplitude. In the waveform diagram, when the amplitude is greater than 0, the amplitude is positive; when the amplitude is less than 0, the amplitude is negative. The positive or negative amplitude represents the direction of the vibration.

[0091] By using the above method for obtaining the vibration data of the wind turbine tower based on multiple monitoring points, the accuracy of obtaining the vibration data of the wind turbine tower is improved, and the flexibility and reliability of the entire monitoring system are also improved.

[0092] Step S104: Perform early warning processing based on all vibration data to monitor tower vibration.

[0093] All vibration data are analyzed in the time domain to obtain the vibration amplitude of the vibration data. If the vibration amplitude is greater than the preset alarm threshold, the automatic early warning mechanism is triggered and an alarm is issued, so that possible emergencies can be monitored and responded to in real time, improving the real-time monitoring of wind turbine tower vibration.

[0094] When the vibration amplitude is less than or equal to the alarm threshold, spectrum analysis and waveform analysis are performed on all the vibration data.

[0095] For two or more monitoring components installed on the same tower, the alarm threshold of each group of monitoring components is different. Relative to the ground, the preset alarm threshold of the monitoring component that is higher from the ground is larger than the alarm threshold of the monitoring component that is closer to the ground. When the vibration data in any group of monitoring components in the same tower is greater than the preset alarm threshold, the automatic early warning mechanism is triggered and an alarm is issued. For example, a first monitoring component and a second monitoring component are provided in wind turbine tower A, and the distance from the first monitoring component to the ground is greater than the distance from the second monitoring component to the ground. Therefore, the first alarm threshold of the first monitoring component is greater than the second alarm threshold of the second monitoring component. When the vibration amplitude of the first monitoring component is obtained to be less than the first alarm threshold, but the vibration amplitude of the second monitoring component is greater than the second alarm threshold, the automatic early warning mechanism is triggered and an alarm is issued.

[0096] By performing spectrum analysis on all the vibration data, the frequency components and amplitude information in the vibration data can be obtained, thereby obtaining the distribution information of the vibration data at different frequencies. The distribution information at different frequencies is compared with the historical distribution, and the change of the distribution information is observed. If the change is not within the preset change range, an alarm is issued to notify the monitoring personnel to take necessary measures.

[0097] Waveform analysis is performed on all the vibration data to obtain waveform information of the vibration data. According to the waveform information, the fluctuation pattern and abnormal waveform of the vibration data can be obtained. By analyzing the abnormal information in the waveform information, the possible cause of the failure of the wind turbine tower can also be obtained, so that timely measures can be taken.

[0098] It should be noted that the vibration amplitude, distribution and waveform are transmitted to the monitoring server for storage for long-term preservation and subsequent analysis, so as to predict possible faults and dangers of the wind turbine tower. The monitoring personnel can also check the vibration of the wind turbine tower at any time through electronic equipment. Based on the above-mentioned method of storing vibration data, on the one hand, the monitoring personnel can centrally monitor and analyze the vibration data of multiple wind turbine towers. On the other hand, the vibration conditions between different wind turbine towers can be compared, abnormal conditions can be discovered in time, and corresponding measures can be taken, or problems can be discovered in time and preventive maintenance can be performed to ensure the stable operation of the wind turbine tower.

[0099] In one embodiment, Fig.11 is a schematic diagram showing wind turbine tower vibration monitoring according to an exemplary embodiment, such as Fig.11As shown, the wind turbine tower is connected to the base station through signals. The preprocessing module in the base station processes the received signal and transmits it to the processing module in the control room through the network port or the 485 interface, thereby transmitting the processed signal to the wind turbine tower vibration monitoring and early warning system to monitor the vibration of the wind turbine tower and issue an early warning.

[0100] To summarize, the wind turbine tower vibration monitoring method provided in the embodiment of the present application sets multiple monitoring points on the wind turbine tower, uses a base station to receive the signals of the monitoring points, and analyzes and processes the signals to obtain the measuring point distance and the axis distance, and then obtains accurate vibration data, analyzes the vibration data, and realizes accurate monitoring and alarm of the wind turbine tower.

[0101] In a second aspect, an embodiment of the present application provides a wind turbine tower vibration monitoring device. Fig.12 FIG. 1 is a block diagram of a wind turbine tower vibration monitoring device according to an exemplary embodiment. Fig.12 As shown, the wind turbine tower vibration monitoring device comprises:

[0102] The first acquisition module is used to acquire the measuring point distance from the base station to each monitoring point for any group of monitoring components within multiple test periods.

[0103] The determination module is used to determine the axis distance from the base station to the intersection of the central axis of the tower and the cross section according to the measuring point distance of each monitoring point for each test period.

[0104] The second acquisition module is used to acquire the vibration data of any group of monitoring components in the tower according to the axial center distances corresponding to multiple test time periods.

[0105] The processing module is used to perform early warning processing based on all vibration data to monitor tower vibration.

[0106] In summary, the wind turbine tower vibration monitoring device provided by the present application, for any monitoring component, sets multiple monitoring points on the tower to obtain the measuring point distance of each monitoring point, thereby obtaining the axial distance from the base station to the center axis of the tower and the focus of the cross section, and obtains vibration data based on the axial distance in multiple test time periods. All vibration data are processed for early warning, thereby completing the monitoring of the tower and improving the accuracy of the tower vibration condition.

[0107] It should be noted that the wind turbine tower vibration monitoring device provided in this embodiment is used to implement the above-mentioned implementation mode, and the descriptions that have been made will not be repeated. As used above, the terms "module", "unit", "subunit", etc. can implement a combination of software and / or hardware for a predetermined function. Although the device described in the above embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0108] In a third aspect, an embodiment of the present application provides an electronic device, Fig.13 FIG. 1 is a block diagram of an electronic device according to an exemplary embodiment. Fig.13 As shown, the electronic device may include a processor 81 and a memory 82 storing computer program instructions.

[0109] Specifically, the processor 81 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0110] Among them, the memory 82 may include a large-capacity memory for data or instructions. By way of example and not limitation, the memory 82 may include a hard disk drive (HDD), a floppy disk drive, a solid-state drive (SSD), a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 82 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 82 may be inside or outside the data processing device. In a specific embodiment, the memory 82 is a non-volatile memory. In a specific embodiment, the memory 82 includes a read-only memory (ROM) and a random access memory (RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (Programmable Read-Only Memory, PROM for short), an erasable PROM (Erasable ProgrammableRead-Only Memory, EPROM for short), an electrically erasable PROM (Electrically Erasable ProgrammableRead-Only Memory, EEPROM for short), an electrically alterable ROM (Electrically Alterable Read-Only Memory, EAROM for short) or a flash memory (FLASH) or a combination of two or more of these. Under appropriate circumstances, the RAM can be a static random access memory (SRAM) or a dynamic random access memory (DRAM), wherein the DRAM can be a fast page mode dynamic random access memory (FPMDRAM), an extended data output dynamic random access memory (EDODRAM), a synchronous dynamic random access memory (SDRAM), etc.

[0111] The memory 82 may be used to store or cache various data files required for processing and / or communication, as well as possible computer program instructions executed by the processor 81 .

[0112] The processor 81 reads and executes the computer program instructions stored in the memory 82 to implement any one of the wind turbine tower vibration monitoring methods in the above embodiments.

[0113] In one embodiment, the wind turbine tower vibration monitoring device may further include a communication interface 83 and a bus 80. Fig.13 As shown, the processor 81, the memory 82, and the communication interface 83 are connected via a bus 80 and communicate with each other.

[0114] The communication interface 83 is used to implement communication between the modules, devices, units and / or equipment in the embodiment of the present application. The communication port 83 can also implement data communication with other components such as: external devices, image / data acquisition equipment, databases, external storage, and image / data processing workstations.

[0115] The bus 80 includes hardware, software or both, and couples the components of the wind turbine tower vibration monitoring device to each other. The bus 80 includes but is not limited to at least one of the following: data bus, address bus, control bus, expansion bus, and local bus. By way of example and not limitation, bus 80 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, bus 80 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0116] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a program stored thereon, and when the program is executed by a processor, the wind turbine tower vibration monitoring method provided in the first aspect is implemented.

[0117] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0118] In a possible implementation, the present invention can also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps of the wind turbine tower vibration monitoring method provided in the first aspect.

[0119] The program code for executing the present invention may be written in any combination of one or more programming languages, and may be executed entirely on a user device, partially on a user device, as an independent software package, partially on a user device and partially on a remote device, or entirely on a remote device.

[0120] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0121] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for monitoring wind turbine tower vibration, characterized in that: At least one set of monitoring components is arranged on the tower to be monitored, and any set of monitoring components includes at least two monitoring points arranged on the same cross section of the tower. The method includes: During multiple test periods, for any group of monitoring components, obtain the distance between the base station and each monitoring point; For each of the test periods, determining the axial distance from the base station to the intersection of the central axis of the tower and the cross section according to the measuring point distance of each of the monitoring points; Acquire vibration data of any group of monitoring components in the tower according to the axis center distances corresponding to the multiple test time periods; Early warning processing is performed based on all of the vibration data to monitor tower vibration.

2. The wind turbine tower vibration monitoring method according to claim 1, characterized in that: The step of determining, for each of the test periods, the axial distance from the base station to the intersection of the central axis of the tower and the cross section according to the measuring point distance of each of the monitoring points comprises: The three-dimensional coordinate system is constructed with the base station as the origin, the xy plane of the three-dimensional coordinate system is parallel to the cross section, and the coordinates of the monitoring points are determined in the three-dimensional coordinate system according to the measuring point distance of each monitoring point; According to the coordinates of each of the monitoring points, the coordinates of the intersection of the central axis of the tower and the cross section are determined, and the axial center distance is obtained.

3. The wind turbine tower vibration monitoring method according to claim 1, characterized in that: For all monitoring components in the same tower, obtaining the vibration data specifically includes: Obtain the axial distance of the cross section corresponding to each set of monitoring components on the same tower; Based on the axial center distance, the direction of the cross-sectional change and the vibration data of each group of monitoring components are determined.

4. The wind turbine tower vibration monitoring method according to claim 1, characterized in that: The early warning processing based on all the vibration data to monitor the tower vibration includes: Performing time domain analysis on all the vibration data to obtain the vibration amplitude of the vibration data; When the vibration amplitude is greater than a preset alarm threshold, an alarm is sounded.

5. The wind turbine tower vibration monitoring method according to claim 4, characterized in that: The early warning processing based on all the vibration data to monitor the tower vibration also includes: Performing spectrum analysis on all the vibration data to obtain distribution information of the vibration data at different frequencies; Performing waveform analysis on all the vibration data to obtain waveform information of the vibration data; When the vibration amplitude is less than or equal to a preset alarm threshold, it is determined whether to issue an early warning based on the distribution information and the waveform information.

6. The wind turbine tower vibration monitoring method according to claim 5, characterized in that: After obtaining the distribution of the vibration data at different frequencies and the waveform information of the vibration data, the method further includes: The vibration amplitude, the distribution and the waveform are transmitted to a monitoring server for storage, and the spectrum analysis and the waveform analysis are performed to achieve early warning.

7. The wind turbine tower vibration monitoring method according to any one of claims 1 to 6, characterized in that: The obtaining of the distance between the base station and each monitoring point includes: Obtaining a delay time according to the time when the base station sends a signal and receives a return signal from the monitoring point; According to the delay time, the measuring point distance from the base station to each monitoring point is obtained.

8. A wind turbine tower vibration monitoring device, characterized in that: include: A first acquisition module is used to acquire the measuring point distance from the base station to each monitoring point for any group of monitoring components within multiple test periods; A determination module, configured to determine, for each of the test periods, an axial distance from the base station to an intersection of a central axis of the tower and the cross section according to a measuring point distance of each of the monitoring points; A second acquisition module is used to acquire vibration data of any group of monitoring components in the tower according to the axis center distances corresponding to the multiple test time periods; A processing module is used to perform early warning processing based on all the vibration data to monitor the tower vibration.

9. An electronic device, characterized in that: The invention comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the wind turbine tower vibration monitoring method as claimed in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the wind turbine tower vibration monitoring method according to any one of claims 1 to 7 is implemented.

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