Tower clearance sensor anomaly detection method and related devices

Abstract

The application discloses a tower clearance sensor anomaly detection method and related equipment. The tower clearance sensor anomaly detection method comprises the following steps: obtaining a first data point of a blade, the first data point comprising a maximum blade out-of-plane load value and a minimum tower clearance value of the blade when a blade wheel azimuth angle is in a first preset azimuth angle range; calculating a deviation degree between the first data point of the blade and a first relationship; the first relationship is a relationship between the maximum blade out-of-plane load value and the minimum tower clearance value of each blade; when the deviation degree is higher than a preset deviation threshold, determining that the minimum tower clearance value in the first data point is abnormal data and that the tower clearance sensor is abnormal. According to the embodiment of the application, whether the tower clearance sensor is abnormal can be judged according to the deviation degree of the load value and the clearance value compared with the fitting relationship, abnormal data is avoided to cause a clearance protection action and to reduce the power generation efficiency of a unit. The data validity of the tower clearance sensor is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of wind power, and particularly relates to a tower clearance sensor abnormality detection method and related equipment. BACKGROUND

[0002] At present, a tower clearance sensor is usually arranged on a tower in a wind turbine to measure the distance between a blade tip portion of a wind turbine and the tower, that is, the tower clearance between the blade and the tower. When the tower clearance is too small, a clearance protection action needs to be performed in time to avoid blade-tower collision.

[0003] However, when the existing tower clearance sensor encounters fog, dust, rain, snow and other extreme weather, the tower clearance data collected by the sensor is prone to failure, so that the current distance between the blade and the tower cannot be accurately reflected. When the tower clearance sensor is abnormal, on the one hand, false positives may occur when the tower clearance remains normal, thereby affecting the normal operation of the unit and reducing the power generation; on the other hand, normal detection and reminders may not be performed when the tower clearance is low, thereby causing blade-tower collision. That is, when the tower clearance sensor is abnormal, the efficiency of the unit is reduced or risks are caused, thereby reducing the effectiveness of the measurement data. SUMMARY

[0004] The embodiments of the application provide a tower clearance sensor abnormality detection method and related equipment, which can solve the technical problem that the tower clearance sensor is prone to abnormality, thereby reducing the effectiveness of the tower clearance measurement value.

[0005] In a first aspect, the embodiments of the application provide a tower clearance sensor abnormality detection method, including:

[0006] obtaining a first data point of a blade, the first data point including a maximum blade out-of-plane load value and a minimum tower clearance value of the blade when a blade azimuth angle is in a first preset azimuth angle range;

[0007] calculating a deviation degree between the first data point of the blade and a first relationship; the first relationship is a relationship between the maximum blade out-of-plane load value and the minimum tower clearance value obtained by fitting the maximum blade out-of-plane load value and the minimum tower clearance value of each blade on the blade wheel;

[0008] when the deviation degree is higher than a preset deviation threshold, determining that the minimum tower clearance value in the first data point is abnormal data and that the tower clearance sensor is abnormal.

[0009] In some embodiments, before the first data point of the blade is obtained, the method further includes:

[0010] The second data points corresponding to different blades on the impeller are obtained respectively, and the second data points of different blades are the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade when the impeller azimuth angle is in different azimuth angle ranges.

[0011] According to the second data points corresponding to different blades, a relationship between the maximum impeller out-of-plane direction load value and the minimum tower clearance value is fitted to obtain a first relationship.

[0012] In some embodiments, the second data points corresponding to different blades on the impeller are obtained respectively, and the second data points corresponding to different blades are the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade when the impeller azimuth angle is in different azimuth angle ranges.

[0013] The second data points corresponding to different blades on the impeller are obtained respectively, and the second data points corresponding to different blades are the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade when the impeller azimuth angle is in different azimuth angle ranges.

[0014] The second data points corresponding to different blades on the impeller are obtained respectively, and the second data points corresponding to different blades are the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade when the impeller azimuth angle is in different azimuth angle ranges.

[0015] In some embodiments, after the relationship between the maximum impeller out-of-plane direction load value and the minimum tower clearance value is fitted according to the second data points corresponding to different blades to obtain the first relationship, the method further includes:

[0016] The deviation degrees of the second data points from the first relationship are calculated respectively.

[0017] A preset deviation threshold is generated according to the deviation degrees corresponding to the second data points.

[0018] In some embodiments, the preset deviation threshold is generated according to the deviation degrees corresponding to the second data points, including:

[0019] The maximum deviation degree is determined from the deviation degrees corresponding to the second data points.

[0020] The preset deviation threshold is calculated and generated according to the preset correction coefficient and the maximum deviation degree.

[0021] In some embodiments, the first preset azimuth angle range is (60°-Δφ, 60°+Δφ), (180°-Δφ, 180°+Δφ), or (300°-Δφ, 300°+Δφ).

[0022] In a second aspect, the embodiments of the present application provide a tower clearance sensor anomaly detection device, the device comprising:

[0023] The first acquisition module is configured to obtain the first data points of the blade, and the first data points include the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade when the impeller azimuth angle is in the first preset azimuth angle range.

[0024] The first determining module is configured to calculate a deviation degree between the first data point of the blade and a first relationship; the first relationship is a relationship between a maximum impeller out-of-plane load value and a minimum tower clearance value of each blade on the impeller, which is obtained by fitting the maximum impeller out-of-plane load value and the minimum tower clearance value of each blade on the impeller;

[0025] The second determining module is configured to determine that the minimum tower clearance value in the first data point is abnormal data and the tower clearance sensor is abnormal when the deviation degree is higher than a preset deviation threshold.

[0026] In a third aspect, an embodiment of the present application provides a wind turbine generator, which comprises:

[0027] a tower;

[0028] a generator;

[0029] an impeller, which comprises a plurality of blades and a hub connected to the plurality of blades;

[0030] a plurality of groups of blade load sensors, which are respectively arranged on the plurality of blades;

[0031] an impeller azimuth angle sensor, which is arranged on the hub;

[0032] a tower clearance sensor, which is arranged on the tower;

[0033] a controller, which is in communication connection with the plurality of groups of blade load sensors, the impeller azimuth angle sensor and the tower clearance sensor, and is configured to implement the tower clearance sensor abnormality detection method as above.

[0034] In a fourth aspect, an embodiment of the present application provides a tower clearance sensor abnormality detection device, which comprises a processor and a memory storing computer program instructions;

[0035] The processor implements the tower clearance sensor abnormality detection method as above when executing the computer program instructions.

[0036] In a fifth aspect, an embodiment of the present application provides a computer storage medium, which stores computer program instructions, and the computer program instructions are executed by a processor to implement the tower clearance sensor abnormality detection method as above.

[0037] Compared with the prior art, the tower clearance sensor anomaly detection method provided by the embodiment of the application can obtain the maximum blade out-of-plane load value and the minimum tower clearance value of the blade as the first data point of the blade when the wind turbine generator set is running in real time and the blade azimuth angle is within the preset range. The first relationship is a relationship between the maximum blade out-of-plane load value and the minimum tower clearance value obtained by fitting the maximum blade out-of-plane load value and the minimum tower clearance value of each blade on the blade. By calculating the deviation between the first data point of the blade and the first relationship, when the deviation is higher than the preset deviation threshold, it is determined that the minimum tower clearance value in the first data point is abnormal data, so that it is determined that the tower clearance sensor is abnormal at this time. Since the blade load sensor is less affected by extreme weather and other environmental factors than the tower clearance sensor, the corresponding first data point can be determined by the data detected by the current blade load sensor and the tower clearance sensor, and the deviation between the first data point and the first relationship fitted with the previous data point is calculated. When the deviation is high, it is considered that the tower clearance sensor is abnormal due to external interference, and the detected tower clearance value is abnormal data. According to the deviation of the first data point, it can be judged whether the tower clearance sensor is abnormal. When the detected tower clearance value is abnormal data, the abnormal data can be ignored to avoid the abnormal data causing the clearance protection action and reducing the power generation efficiency of the unit, and the data effectiveness of the tower clearance sensor is improved. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed to be used in the embodiments of the application. Obviously, the drawings described below are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0039] Figure 1 is a flowchart of the tower clearance sensor anomaly detection method provided by an embodiment of the application;

[0040] Figure 2 is a flowchart of the tower clearance sensor anomaly detection method provided by another embodiment of the application;

[0041] Figure 3 is a flowchart of the tower clearance sensor anomaly detection method provided by another embodiment of the application;

[0042] Figure 4 is a blade azimuth angle diagram in an embodiment of the application;

[0043] Figure 5 is a structural diagram of the tower clearance sensor anomaly detection device provided by an embodiment of the application;

[0044] Figure 6 Fig. 1 is a schematic diagram of a hardware structure of a tower clearance sensor anomaly detection device according to an embodiment of the present application. DETAILED DESCRIPTION

[0045] The features and exemplary embodiments of various aspects of the present application will be described below in detail, in order to make the purposes, technical solutions and advantages of the present application more clear and apparent, the present application will be further described in detail below in combination with the drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, but not to limit the present application. The present application can be implemented without some of these specific details by those skilled in the art. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0046] It should be noted that, in this document, relational terms such as first and second and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, an element defined by the phrase "comprising a" does not exclude the existence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0047] It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict. The embodiments will be described in detail below in combination with the drawings.

[0048] Currently, a tower clearance sensor is usually arranged on a tower in a wind turbine to measure the distance between the tip portion of a blade of a wind turbine and the tower, i.e., the tower clearance between the blade and the tower. When the tower clearance is too small, a clearance protection action needs to be performed in time to avoid blade-swept-tower.

[0049] However, the existing tower clearance sensor has low measurement accuracy and is easily affected by the environment. For example, when encountering fog, sand, rain, snow and other extreme weather, the collected tower clearance data is of low validity, and thus cannot accurately reflect the distance between the current blade and the tower. When the tower clearance sensor is abnormal, on the one hand, it may cause false positives when the tower clearance is normal, thereby affecting the normal operation of the unit and reducing the power generation; on the other hand, it may not be able to detect and remind normally when the tower clearance is low, thereby causing the blade to sweep the tower. That is, when the tower clearance sensor is abnormal, it will cause the unit efficiency to decrease and even cause accidents.

[0050] To solve the above technical problems, the embodiments of the present application provide a tower clearance sensor abnormality detection method and related equipment. First, the tower clearance sensor abnormality detection method provided by the embodiments of the present application is introduced.

[0051] Figure 1 The structure schematic diagram of the tower clearance sensor abnormality detection method provided by an embodiment of the present application is shown. The tower clearance sensor abnormality detection method comprises:

[0052] S110, acquiring a first data point of the blade, the first data point comprising a maximum blade out-of-plane direction load value and a minimum tower clearance value of the blade when the blade position angle is in a first preset blade position angle range;

[0053] S120, calculating the deviation degree between the first data point of the blade and a first relationship; the first relationship is a relationship between the maximum blade out-of-plane direction load value and the minimum tower clearance value obtained by fitting the maximum blade out-of-plane direction load value and the minimum tower clearance value of each blade on the blade wheel;

[0054] S130, when the deviation degree is higher than a preset deviation threshold, determining that the minimum tower clearance value in the first data point is abnormal data and that the tower clearance sensor is abnormal.

[0055] In the wind turbine generator set, a plurality of blades are usually arranged on the blade wheel, and the included angle between the plurality of blades is consistent. The following takes three blades arranged on the blade wheel as an example for description.

[0056] Please refer to Figure 4, the angle between every two blades on the impeller is 120°. In order to represent the current position of each blade, the blade position can be positioned by the impeller azimuth angle. When the blades rotate clockwise, the blades can be numbered and the angle between blade 1 and the vertical axis of the impeller is taken as the impeller azimuth angle. For example, when the impeller azimuth angle is 0°, it indicates that blade 1 is vertically upward at this time, and when the impeller azimuth angle is 120°, it indicates that blade 1 rotates 120° clockwise from the vertically upward direction, and at this time, blade 3 is vertically upward. Similarly, when the impeller azimuth angle is 240°, it indicates that blade 2 is vertically upward.

[0057] In this embodiment, when the wind turbine generator set is running in real time, the blade out-of-plane load value and the tower clearance value of the blade can be detected when the impeller azimuth angle is in the first preset azimuth angle range, and the maximum blade out-of-plane load value and the minimum tower clearance value of the blade in this range are determined as the first data point. According to the first relationship between the maximum blade out-of-plane load value and the minimum tower clearance value obtained by the set in advance, the deviation between the first data point and the first relationship can be calculated. When the deviation is higher than the preset deviation threshold, it indicates that the minimum tower clearance value of the blade under the current state deviates greatly from the tower clearance value corresponding to the normal state. Since the blade load sensor is less susceptible to environmental factors such as extreme weather than the tower clearance sensor, the corresponding first data point can be determined by the data detected by the current blade load sensor and the tower clearance sensor, and the deviation between the first data point and the first relationship fitted from the previous data points can be calculated. When the deviation is high, it can be considered that the tower clearance sensor is disturbed by external factors and is abnormal, resulting in abnormal data of the detected tower clearance value. According to the deviation of the first data point, it can be judged whether the tower clearance sensor is abnormal. When the detected tower clearance value is abnormal data, the abnormal data can not be responded to, so as to avoid the abnormal data causing the net clearance protection action and reducing the power generation efficiency of the set, and improve the data effectiveness of the tower clearance sensor.

[0058] It should be noted that when the impeller rotates 1 circle, the 3 blades all run into the bottom range once, at which time the corresponding first data point of each blade running into the bottom range can be obtained, and whether the tower clearance sensor is abnormal can be judged according to the first data point. That is, the cycle length of the abnormality detection is one third of the length of time required for the impeller to rotate 1 circle, and at this time, the detection frequency of the abnormality detection is 3 times the speed of the set.

[0059] It can be understood that by reducing the number of times of obtaining the first data point when the impeller rotates, the abnormality detection frequency can also be reduced, so as to realize flexible adjustment of the abnormality detection frequency.

[0060] In S110, when the wind turbine generator set is running in real time, multiple blades on the set are rotating continuously. The current blade pitch angle of the set can be detected by the blade pitch angle sensor, and the current position of each blade can be determined according to the current blade pitch angle.

[0061] The first preset pitch angle range is set in the set in advance. When the blade pitch angle detected by the blade pitch angle sensor is within the first preset pitch angle range, the out-of-blade-pitch-plane direction load value of the blade can be detected by the blade load sensor arranged on the blade, and the tower head clearance value can be detected by the tower head clearance sensor arranged on the tower head of the set.

[0062] It should be noted that the tower head clearance value refers to the distance between the blade and the tower head when the blade runs to the bottom range. Therefore, the first preset pitch angle range is the pitch angle range when the blade runs to the bottom range.

[0063] Since the blade pitch angle is within the first preset pitch angle range, the blade load sensor and the tower head clearance sensor can detect multiple out-of-blade-pitch-plane direction load value data and tower head clearance value data when the blade moves. The set can select the maximum out-of-blade-pitch-plane direction load value from the multiple out-of-blade-pitch-plane direction load value data, and select the minimum tower head clearance value from the multiple tower head clearance value data. The maximum out-of-blade-pitch-plane direction load value and the minimum tower head clearance value can be used as the first data point of the blade.

[0064] It can be understood that the maximum out-of-blade-pitch-plane direction load value is the maximum value of the multiple out-of-blade-pitch-plane direction load values detected when the blade pitch angle is within the first preset pitch angle range. The minimum tower head clearance value is the minimum value of the multiple tower head clearance values detected when the blade pitch angle is within the first preset pitch angle range. That is, the position of the blade corresponding to the maximum out-of-blade-pitch-plane direction load value and the position of the blade corresponding to the minimum tower head clearance value can be the same position or different positions.

[0065] In S120, after obtaining a first data point of the blade when the blade rotates one revolution, a first relationship generated by pre-fitting can be obtained, and the deviation between the first data point and the first relationship can be calculated.

[0066] Before performing abnormality detection on the tower head clearance sensor, the maximum out-of-blade-pitch-plane direction load value and the minimum tower head clearance value of each blade can be obtained when the blade rotates in a normal operating state of the set.

[0067] It can be understood that the minimum tower clearance value of the blade in one rotation of the impeller should be the tower clearance value corresponding to the position of the blade running to the bottom range. That is, when detecting the maximum impeller out-of-plane load value and the minimum tower clearance value of the blade, the blade should be at a position in the bottom range. Each blade on the impeller will pass through the bottom range and only once in one rotation of the impeller. Then, each blade on the impeller can detect and obtain the corresponding maximum impeller out-of-plane load value and minimum tower clearance value every time the impeller rotates one circle. The corresponding maximum impeller out-of-plane load value and minimum tower clearance value of each of the three blades in the bottom range can be detected every time the impeller rotates one circle.

[0068] When the impeller normally rotates multiple circles, each blade corresponds to multiple maximum impeller out-of-plane load values and multiple minimum tower clearance values. After fitting all the maximum impeller out-of-plane load values and minimum tower clearance values of the blades, the fitting corresponding relationship of the maximum impeller out-of-plane load value and the minimum tower clearance value can be determined, that is, the first relationship.

[0069] According to the first data point of the blade obtained when the azimuth angle of the unit is in the first preset azimuth angle range under the real-time running state of the unit, it can be determined that the first data point is the current real-time impeller out-of-plane load value and tower clearance value. According to the relative position of the first data point and the first relationship, the offset distance between the first data point and the first relationship can be calculated, which is the deviation degree between the first data point and the first relationship.

[0070] It can be understood that the maximum impeller out-of-plane load value in the first data point is substituted into the first relationship, and the corresponding tower clearance value under the current maximum impeller out-of-plane load value can be calculated. Comparing the calculated tower clearance value with the minimum tower clearance value in the first data point can calculate the deviation degree between the first data point and the first relationship.

[0071] In S130, after determining the deviation degree between the first data point of the blade and the first relationship fitted in advance, it can be determined whether the data is abnormal according to whether the deviation degree is higher than the preset deviation threshold. When the deviation degree is lower than the preset deviation threshold, it can be determined that the tower clearance sensor does not occur at this time, and the minimum tower clearance value in the first data point is normal data, and whether to execute the clearance protection action can be determined according to the minimum tower clearance value. For example, when the minimum tower clearance value is lower than the clearance protection threshold, the corresponding clearance protection action can be executed to avoid blade sweep tower.

[0072] When the deviation is higher than the preset deviation threshold, it can be determined that the tower clearance sensor is abnormal at this time, and the minimum tower clearance value in the first data point is abnormal data, and at this time, the minimum tower clearance value can not be responded. For example, when it is determined that the minimum tower clearance value in the first data point is abnormal data, if the minimum tower clearance value is lower than the clearance protection threshold, the clearance protection action can not be performed to avoid affecting the power generation performance of the unit.

[0073] It should be noted that when it is detected that the minimum tower clearance value in the first data point is abnormal data, the tower clearance sensor does not need to be closed, but only the abnormal data is not responded. The tower clearance sensor can continue to run and detect the minimum tower clearance value of the blade in real time when the impeller rotates. In the real-time first data point detected thereafter, if the corresponding deviation is still higher than the preset deviation threshold, the minimum tower clearance value in the first data point is taken as abnormal data, and the minimum tower clearance value in the first data point is not responded; if the deviation corresponding to the first data point is lower than the preset deviation threshold, whether to perform the clearance protection action is determined according to the comparison result of the minimum tower clearance value in the first data point and the clearance protection threshold.

[0074] As an optional embodiment, please refer to Figure 2 Before S110, the above-mentioned can further include:

[0075] S210, respectively acquiring a plurality of second data points corresponding to different blades on the impeller, the second data points of different blades being the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade when the impeller azimuth angle is in different azimuth angle ranges;

[0076] S220, fitting the relationship between the maximum impeller out-of-plane direction load value and the minimum tower clearance value according to the plurality of second data points corresponding to different blades, to obtain a first relationship.

[0077] In the embodiment, before the real-time abnormal detection of the tower clearance sensor of the unit, the unit needs to be controlled to run for a period of time, and the second data points corresponding to each blade in the period of time are acquired. According to the second data points, the first relationship can be fitted. Through the first relationship, the relationship between the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the unit in the normal operating state can be represented. Then, when the unit is running in real time, the deviation between the real-time first data point and the first relationship can be determined to determine whether the tower clearance sensor is abnormal, so that when the sensor is abnormal, the abnormal data can not be responded, the clearance protection action can be avoided to be started under the abnormal data, and the data effectiveness of the tower clearance sensor is improved.

[0078] In S210, before acquiring the first data points of the blades in real time and determining whether the minimum tower clearance value is abnormal data and whether the tower clearance sensor is abnormal, the unit can be controlled to run for a period of time. And a plurality of second data points of each blade on the impeller within the running time are acquired.

[0079] For any blade on the impeller, when the impeller rotates 1 circle within the running time, the blade can detect a plurality of out-of-plane direction load values of the impeller and a plurality of tower clearance values through the blade load sensor and the tower clearance sensor when the impeller azimuth angle is within the corresponding azimuth angle range, and determine the maximum out-of-plane direction load value of the impeller and the minimum tower clearance value as the second data points. That is, one blade can determine one second data point when the impeller rotates 1 circle.

[0080] If the impeller rotates n circles, each blade on the impeller can determine n second data points. Three blades can determine 3n second data points in total.

[0081] It can be understood that for each blade, when the impeller azimuth angle is within the corresponding azimuth angle range, the blade should run within the bottom range. For example, taking blade 1 as an example, when the impeller azimuth angle is 180°, it means that blade 1 is vertically downward, and the corresponding impeller azimuth angle range of blade 1 can be an angle range including 180°, for example, 175°-185°.

[0082] When the impeller azimuth angle is between 175° and 185°, blade 1 is running within the bottom range at this time, and the tower clearance sensor can detect a plurality of tower clearance values when blade 1 runs from the 175° position to the 185° position, and determine the minimum tower clearance value. The blade load sensor can detect a plurality of out-of-plane direction load values of the impeller when blade 1 runs from the 175° position to the 185° position, and determine the maximum out-of-plane direction load value of the impeller.

[0083] As an optional embodiment, please refer to Figure 3 The above S210 can include:

[0084] S310, respectively acquiring a plurality of second original data points corresponding to different blades on the impeller respectively;

[0085] S320, selecting second original data points without abnormalities of the tower clearance sensor and the blade load sensor from the plurality of second original data points to obtain a plurality of second data points.

[0086] In the embodiment, when the impeller rotates, a plurality of second original data points corresponding to different blades can be obtained. By screening the second original data points, abnormal data points can be screened out to obtain a plurality of second data points required for fitting the first relationship. By screening the second original data points, the second data points for fitting the first relationship can be data points when the sensor is in normal operation, thereby improving the accuracy of the fitted first relationship.

[0087] In S310, since each blade on the impeller can run to the bottom range once when the impeller rotates one circle, a corresponding second data point can be determined. That is, when the impeller rotates one circle, a second data point equal to the number of blades can be determined.

[0088] When the impeller rotates n circles, 3n second original data points can be determined by 3 blades on the impeller.

[0089] In S320, after a plurality of second original data points determined by different blades on the impeller, second original data points in which neither the tower clearance sensor nor the blade load sensor is abnormal can be selected from the plurality of second original data points.

[0090] For each blade on the impeller, when the unit is in normal operation, the out-of-plane direction load on the blade is in the normal load range, and the tower clearance value between the blade and the tower is also in the normal clearance range. For the 3n second original data points obtained after the impeller rotates n circles, the maximum out-of-plane direction load value and the minimum tower clearance value in each second original data point can be screened to screen out the maximum out-of-plane direction load value not in the normal load range and the minimum tower clearance value not in the normal clearance range. When an abnormal maximum out-of-plane direction load value occurs or an abnormal minimum tower clearance value occurs, the corresponding second original data point can be screened out as a second original data point with abnormal data. The second original data point with normal data obtained after screening can be used as the second data point for fitting the first relationship.

[0091] It can be understood that the above screening method can be to pre-set the normal range of the out-of-plane direction load value of the impeller and the normal range of the tower clearance value, and screen the values in each second original data point, or manually screen the second original data point with abnormal values by using artificial screening.

[0092] In S220, after the impeller rotates n revolutions and a plurality of second data points corresponding to different blades are obtained, the maximum impeller out-of-plane direction load values and the minimum tower clearance values in the plurality of second data points can be fitted to obtain a fitting result, and the fitting result is taken as the first relationship. For example, by linear fitting the maximum impeller out-of-plane direction load values and the minimum tower clearance values, a linear fitting result L can be obtained.

[0093] It can be understood that in the linear fitting process, the plurality of maximum impeller out-of-plane direction load values can be taken as the parameter x, the plurality of minimum tower clearance values can be taken as the parameter y, and the regression equation obtained by linear fitting is:

[0094] L: y = a * x + b.

[0095] As an optional embodiment, after S220, the method can further include:

[0096] S410, respectively calculating the deviation degrees of the plurality of second data points from the first relationship;

[0097] S420, generating a preset deviation threshold according to the deviation degrees respectively corresponding to the plurality of second data points.

[0098] In this embodiment, after the first relationship is determined, the plurality of second data points used for fitting the first relationship can be taken as corresponding sample points, and the deviation degrees between the first relationship and each sample point are calculated. After the deviation degrees respectively corresponding to each second data point are determined, the preset deviation threshold can be calculated and generated according to the plurality of deviation degrees. Since the second data points are data collected when the sensor is in normal operation, the preset deviation threshold determined according to the second data points can ensure that any second data point does not exceed the preset deviation threshold. In actual operation, if the first data point detected is the same as the second data point, the first data point will certainly not exceed the preset deviation threshold, so it can be determined that the sensor under the first data point is in normal operation.

[0099] It should be noted that since the second data points are the maximum impeller out-of-plane direction load values and the minimum tower clearance values detected by the tower clearance sensor and the blade load sensor when there is no abnormality. That is, the deviation degrees between the second data points and the first relationship should be less than the preset deviation threshold.

[0100] In S410, after linear fitting is performed according to the maximum impeller out-of-plane direction load values and the minimum tower clearance values in the plurality of second data points, the deviation degrees between each second data point and the first relationship can be determined according to the first relationship calculated.

[0101] It can be understood that the first relationship is the regression equation after fitting, and each second data point corresponds to a sample point.

[0102] For each second data point, if the maximum blade out-of-plane load value is x1 and the minimum tower clearance value is y1, the deviation can be represented as the difference between the minimum tower clearance value y1 in the second data point and the tower clearance value corresponding to x1 in the regression equation. For example, when the multiple second data points are linearly fitted to obtain a fitting result L, the deviation can be represented as y1-(a*x1+b).

[0103] It can be understood that when the second data point is located above the fitting straight line L, the deviation is positive; when the second data point is located below the fitting straight line L, the deviation is negative.

[0104] In S420, after determining the deviation between each second data point and the first relationship, the preset deviation threshold can be calculated from the multiple deviations.

[0105] As an optional embodiment, S420 can include:

[0106] S510, determining a maximum deviation from the deviations corresponding to the multiple second data points respectively;

[0107] S520, calculating a preset deviation threshold according to a preset correction coefficient and the maximum deviation.

[0108] In this embodiment, the deviations determined according to the second data points should all be less than the preset deviation threshold, so that the maximum blade out-of-plane load value and the minimum tower clearance value corresponding to the second data points will not be considered as abnormal data when determining. Determining the maximum deviation from the multiple deviations and calculating the preset deviation threshold according to the preset correction coefficient and the maximum deviation can make the deviations corresponding to the second data points all less than the preset deviation threshold, thereby improving the accuracy of abnormal detection in actual operation. When the preset deviation threshold is the product of the preset correction coefficient and the maximum deviation, the preset correction coefficient should be greater than 1.

[0109] In S510, after determining the deviation between each second data point and the first relationship, the maximum deviation can be determined from the multiple deviations.

[0110] It can be understood that when the second data point is located below the fitting straight line, the deviation corresponding to the second data point is negative. In order to determine the maximum deviation from all the second data points, the multiple deviations with negative values can be taken as absolute values and compared with the multiple deviations with positive values to determine the maximum deviation.

[0111] In S520, the unit can obtain a preset correction coefficient, and calculate a preset deviation threshold according to the preset correction coefficient and the maximum deviation.

[0112] It should be noted that the preset correction coefficient can be set to be greater than or equal to 1, so that the preset deviation threshold calculated is greater than or equal to the maximum deviation.

[0113] Since the second data points are all data collected by the tower clearance sensor and the blade load sensor when the tower clearance sensor and the blade load sensor are in normal operation. Under the maximum deviation in the plurality of second data points, the tower clearance sensor is still in a normal operation state. If the preset deviation threshold is set to be lower than the maximum deviation, when the current deviation of the blade, i.e., the deviation between the second data point and the first relationship, is equal to the maximum deviation, although the tower clearance sensor is in a normal operation state, since the maximum deviation is greater than the preset deviation threshold, the unit will determine that the minimum tower clearance value is abnormal data and that the tower clearance sensor is abnormal. Therefore, in order to avoid the unit determining that the tower clearance sensor is abnormal when the tower clearance sensor is in a normal operation state, the preset deviation threshold needs to be set to be greater than or equal to the maximum deviation in the second data points, so that when the deviation between the first data point detected by the blade in actual operation and the first relationship is equal to the maximum deviation, the unit can determine that the tower clearance sensor is in a normal operation state.

[0114] As an optional embodiment, the first preset azimuth angle range can be (60°-Δφ, 60°+Δφ), (180°-Δφ, 180°+Δφ) or (300°-Δφ, 300°+Δφ).

[0115]

[0116] When the impeller azimuth angle is 60°, the blade 2 is vertically downward; when the impeller azimuth angle is 180°, the blade 1 is vertically downward; and when the impeller azimuth angle is 300°, the blade 3 is vertically downward. When the first preset azimuth angle range is (60°-Δφ, 60°+Δφ), the blade 3 is in the bottom region; when the first preset azimuth angle range is (180°-Δφ, 180°+Δφ), the blade 1 is in the bottom region; and when the first preset azimuth angle range is (300°-Δφ, 300°+Δφ), the blade 3 is in the bottom region. Wherein, Δφ can be set according to the detection performance of the tower clearance sensor. For example, within the first preset azimuth angle range (60°-Δφ, 60°+Δφ), the moving range of the rotation angle of the blade 1 is 2*Δφ, that is, within the time required for the blade 1 to move 2*Δφ, the tower clearance sensor needs to detect a plurality of tower clearance values.

[0117] In the process of the kth rotation of the impeller, the maximum value of the plurality of impeller out-of-plane direction load values detected by the blade 1 in the circle is M k1 , and the minimum value of the plurality of tower clearance values is C k1 ; the maximum value of the plurality of impeller out-of-plane direction load values detected by the blade 2 in the circle is M k2 ​, the minimum value in the plurality of tower clearance values is C k2 ; the maximum value in the plurality of blade out-of-plane load values detected by the blade 3 in the circle is M k3 , the minimum value in the plurality of tower clearance values is C k3 . Wherein, k is a positive integer.

[0118] When the impeller rotates n circles, the data set of the second data points detected by the blade 1, the blade 2 and the blade 3 is (Mni, Cni) (i = 1, 2, 3);

[0119] From the above data set, the second data points in which neither the tower clearance sensor nor the blade load sensor is abnormal can be screened out to form a sample Y, which is used to train the model.

[0120] According to the maximum out-of-plane load value of the impeller and the minimum tower clearance value in the sample Y, a linear fitting result L of Mni and Cni can be generated.

[0121] For each second data point in the sample Y, the fitting tower clearance value of the maximum out-of-plane load value in the second data point in the linear fitting result L can be calculated, and the deviation of the second data point from the linear fitting result L can be determined according to the difference between the minimum tower clearance value of the second data point and the fitting tower clearance value.

[0122] After calculating the deviation of each second data point, the maximum deviation R can be determined from the plurality of deviations.

[0123] When the unit is running in real time, the maximum out-of-plane load value Mi and the minimum tower clearance value Ci of the blade in the bottom region can be obtained. For example, when the first preset azimuth angle range is (180°-Δφ, 180°+Δφ), it indicates that the blade 1 passes through the bottom region, and at this time the first data point (M1, C1) of the blade 1 can be obtained. According to the difference between the fitting tower clearance value of the maximum out-of-plane load value in the first data point in the linear fitting result L and the minimum tower clearance value in the first data point, the deviation r between the first data point and the first relationship can be determined. The deviation r is the real-time deviation r of the unit at present.

[0124] After calculating the real-time deviation r of the unit at present, the preset deviation threshold R*α can be determined according to the maximum deviation R and the preset correction coefficient α.

[0125] If r is greater than R*α, the unit can determine that the minimum tower clearance value C1 at this time is abnormal data and the tower clearance sensor is abnormal, and does not respond to the minimum tower clearance value C1.

[0126] If r is less than R*α, the unit can determine that the minimum tower clearance value C1 at this time is normal data and that the tower clearance sensor is not abnormal. If the minimum tower clearance value C1 at this time is not lower than the clearance protection threshold, the unit does not perform a clearance protection action; if the minimum tower clearance value C1 at this time is lower than the clearance protection threshold, the unit needs to perform a clearance protection action to avoid the risk of blade sweeping the tower.

[0127] Based on the tower clearance sensor abnormality detection method provided in the above embodiments, the application also provides a specific implementation of a tower clearance sensor abnormality detection device. Please see the following embodiments.

[0128] Firstly, referring to Figure 5 The tower clearance sensor abnormality detection device 500 provided in the embodiments of the application includes the following modules:

[0129] The first acquisition module 501 is configured to acquire a first data point of the blade, the first data point including a maximum blade out-of-plane load value and a minimum tower clearance value of the blade when the blade pitch angle is in a first preset pitch angle range;

[0130] The first determination module 502 is configured to calculate a deviation degree between the first data point of the blade and a first relationship; the first relationship is a relationship between the maximum blade out-of-plane load value and the minimum tower clearance value obtained by fitting the maximum blade out-of-plane load value and the minimum tower clearance value of each blade on the blade wheel;

[0131] The second determination module 503 is configured to determine that the minimum tower clearance value in the first data point is abnormal data and that the tower clearance sensor is abnormal when the deviation degree is higher than a preset deviation threshold.

[0132] In this embodiment, when the wind turbine generator set is running in real time, the blade out-of-plane load value and the tower clearance value of the blade can be detected when the blade pitch angle is in the first preset pitch angle range, and the maximum blade out-of-plane load value and the minimum tower clearance value of the blade in this range are determined as the first data point. According to the first relationship representing the correlation between the maximum blade out-of-plane load value and the minimum tower clearance value obtained by the unit in advance, the deviation degree between the first data point and the first relationship can be calculated. When the deviation degree is higher than the preset deviation threshold, it indicates that the minimum tower clearance value of the blade under the current state deviates greatly from the tower clearance value corresponding to the normal state. Since the blade load sensor is not easily affected by environmental factors, when the deviation degree between the first data point and the first relationship is large, it can be generally considered that the tower clearance sensor is interfered by external factors and is abnormal, resulting in that the detected tower clearance value is abnormal data. At this time, the abnormal data can be ignored to avoid the abnormal data triggering the clearance protection action and causing the power generation efficiency of the unit to decrease.

[0133] As an implementation form of the present application, in order to pre-fittingly generate the second relationship, the abnormality detection device 500 can further include:

[0134] a second acquisition module, configured to acquire a plurality of second data points respectively corresponding to different blades on the impeller, the second data point of a different blade being a maximum impeller out-of-plane direction load value and a minimum tower clearance value of the blade when the impeller azimuth angle is in different azimuth angle ranges;

[0135] a fitting module, configured to fit a relationship between the maximum impeller out-of-plane direction load value and the minimum tower clearance value according to the plurality of second data points respectively corresponding to different blades, to obtain the first relationship.

[0136] As an implementation form of the present application, in order to screen out sensor data without abnormality, the second acquisition module can further include:

[0137] an acquisition unit, configured to acquire a plurality of second original data points respectively corresponding to different blades on the impeller;

[0138] a screening unit, configured to select, from the plurality of second original data points, a second original data point without abnormality of both the tower clearance sensor and the blade load sensor, to obtain the plurality of second data points.

[0139] As an implementation form of the present application, in order to provide a basis for determining whether the second data point is abnormal, the fitting module can further include:

[0140] a calculation unit, configured to calculate a deviation degree of each of the plurality of second data points from the first relationship;

[0141] a threshold unit, configured to generate a preset deviation threshold according to the deviation degree of each of the plurality of second data points.

[0142] As an implementation form of the present application, in order to determine the preset deviation threshold, the threshold unit can further include:

[0143] a determination sub-unit, configured to determine a maximum deviation degree from the deviation degrees of the plurality of second data points;

[0144] a correction sub-unit, configured to calculate the preset deviation threshold according to a preset correction coefficient and the maximum deviation degree.

[0145] The tower clearance sensor abnormality detection device 500 provided by the embodiments of the present application can implement each step in the method embodiment, and details are not repeated here to avoid repetition. Figures 1 to 3

[0146] ​The embodiment of the present application further provides a wind turbine generator set, which comprises a tower, a generator and an impeller, the impeller comprises a plurality of blades and a hub connected with the plurality of blades, the wind turbine generator set further comprises a plurality of groups of blade load sensors respectively arranged on the plurality of blades, an azimuth angle sensor of the impeller arranged on the hub, a tower clearance sensor arranged on the tower and a controller.

[0147] The controller can be in communication connection with the plurality of groups of blade load sensors, the azimuth angle sensor of the impeller and the tower clearance sensor respectively, so as to receive the out-of-plane load value of the impeller, the azimuth angle of the impeller and the tower clearance value respectively. The controller can realize each step in the above-mentioned various tower clearance sensor anomaly detection method embodiments.

[0148] Figure 6 A hardware structure schematic diagram of the tower clearance sensor anomaly detection device provided by the embodiment of the present application is shown.

[0149] The tower clearance sensor anomaly detection device can comprise a processor 601 and a memory 602 in which computer program instructions are stored.

[0150] Specifically, the above-mentioned processor 601 can comprise a central processing unit (CPU), or an application specific integrated circuit (ASIC), or can be configured as one or more integrated circuits implementing the embodiment of the present application.

[0151] The memory 602 can comprise a mass storage for data or instructions. By way of example and not limitation, the memory 602 can include a hard disk drive (HDD), a floppy disk drive, 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 602 can include removable or non-removable (or fixed) media. Where appropriate, the memory 602 can be internal or external to the integrated gateway disaster recovery device. In certain embodiments, the memory 602 is non-volatile solid-state memory.

[0152] The memory can include read-only memory (ROM), random-access memory (RAM), magnetic disk storage mediums, optical storage mediums, flash memory devices, electrical, optical, or other physical / tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software that, when executed (by one or more processors), is operable to perform operations described with reference to the methods according to an aspect of the present disclosure.

[0153] The processor 601 implements the tower clearance sensor anomaly detection method described above by reading and executing computer program instructions stored in the memory 602.

[0154] In one example, the tower clearance sensor anomaly detection device can further include a communication interface 603 and a bus 610. Wherein, as shown in the figure, the processor 601, the memory 602, the communication interface 603 are connected through the bus 610 and complete the communication between each other. Figure 6

[0155] The communication interface 603 is mainly used to realize the communication between each module, device, unit and / or equipment in the embodiments of the present application.

[0156] The bus 610 includes hardware, software or both to couple the components of the tower clearance sensor anomaly detection device to each other. By way of example, and without limitation, the bus can include an accelerated graphics port (AGP) or other graphics bus, an enhanced industry standard architecture (EISA) bus, a front-side bus (FSB), a hypertransport (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 (VLB) bus, or other suitable bus or combination of two or more of these. Where appropriate, the bus 610 can include one or more buses. Although the embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0157] The tower clearance sensor anomaly detection device can be based on the above-mentioned embodiments, thereby realizing the tower clearance sensor anomaly detection method and device described in combination Figures 1 to 5 with the above-mentioned embodiments.

[0158] In addition, in combination with the tower clearance sensor anomaly detection method in the above-mentioned embodiments, the embodiments of the present application can provide a computer storage medium to realize. The computer storage medium has computer program instructions stored thereon; the computer program instructions are executed by the processor to realize any one of the tower clearance sensor anomaly detection methods in the above-mentioned embodiments, and can achieve the same technical effect, to avoid repetition, which will not be repeated here. Among them, the above-mentioned computer readable storage medium can include a non-transitory computer readable storage medium, such as a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, etc., which is not limited here. ​

[0159] It is to be understood that the present application is not limited to the particular examples described and illustrated herein, which are intended as illustrative only since the application is amenable to various changes, modifications, and additions. For the sake of clarity, conventional methods and apparatus are not described in detail herein. In the above embodiments, several specific steps are described and illustrated as examples. However, the methods process of the present application is not limited to the steps described and illustrated, as one of skill in the art will appreciate that various changes, modifications, and additions can be made thereto, or that various elements can be left out or replaced.

[0160] The functional blocks shown in the structural block diagrams above can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application specific integrated circuits (ASICs), appropriate firmware, plug-ins, functional cards, and the like. When implemented in software, the elements of the present application are program or code segments that are used to perform the required tasks. The program or code segments can be stored in a machine-readable medium, or transmitted through a data signal carried in a carrier wave over a transmission medium or communication link. A "machine-readable medium" includes any medium that can store or transfer information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, and the like. The code segments can be downloaded via computer networks such as the Internet, intranet, and the like.

[0161] It is also to be understood that the example embodiments described herein are based on a series of steps or apparatuses to describe some methods or systems. However, the present application is not limited to the order of the steps described above, that is, the steps can be performed in the order mentioned in the embodiments, or in an order different from the embodiments, or several steps can be performed simultaneously.

[0162] The computer program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other processing devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other processing devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks. These computer program instructions can also be stored in a computer readable medium that can direct a computer, other programmable data processing apparatus, or other processing devices to operate in a particular manner, such that the instructions stored in the computer readable medium produce an article of manufacture including instructions which implement the function / act specified in the flowchart and / or block diagram block or blocks. The computer program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other processing devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other processing devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks. These computer program instructions can also be stored in a computer readable medium that can direct a computer, other programmable data processing apparatus, or other processing devices to operate in a particular manner, such that the instructions stored in the computer readable medium produce an article of manufacture including instructions which implement the function / act specified in the flowchart and / or block diagram block or blocks.

[0163] The above is merely specific implementation of the present application, and those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the foregoing method embodiments, which will not be described herein again. It should be understood that the protection scope of the present application is not limited to this, and any person skilled in the art can easily think of various equivalent modifications or replacements within the technical range disclosed in the present application, and these modifications or replacements should be covered within the protection scope of the present application.

Claims

1. A tower clearance sensor anomaly detection method, characterized by, The method comprises: obtaining first data points of the blades, the first data points comprising maximum blade out-of-plane load values and minimum tower clearance values of the blades when the blade azimuth angle is in a first preset azimuth angle range; the first preset azimuth angle range is an azimuth angle range when the blades run to the bottom range; calculating a deviation degree between the first data points of the blades and a first relationship; the first relationship is a relationship between the maximum blade out-of-plane load values and the minimum tower clearance values obtained by linear fitting of the maximum blade out-of-plane load values and the minimum tower clearance values of each blade on the blade under the condition that the tower clearance sensor and the blade load sensor are normal and the blade rotates normally for multiple turns; when the deviation degree is higher than a preset deviation threshold, determining that the minimum tower clearance value in the first data point is abnormal data and that the tower clearance sensor is abnormal.

2. The tower clearance sensor anomaly detection method according to claim 1, characterized by, Before the obtaining of the first data points of the blades, the method further comprises: obtaining multiple second data points corresponding to different blades on the blade respectively, the second data points of different blades being maximum blade out-of-plane load values and minimum tower clearance values of the blades when the blade azimuth angle is in different azimuth angle ranges; fitting a relationship between the maximum blade out-of-plane load values and the minimum tower clearance values according to the multiple second data points corresponding to different blades respectively to obtain the first relationship.

3. The tower clearance sensor anomaly detection method according to claim 2, characterized by, The obtaining of the multiple second data points corresponding to different blades on the blade respectively further comprises: obtaining multiple second original data points corresponding to different blades on the blade respectively; selecting second original data points in which the tower clearance sensor and the blade load sensor are both normal from the multiple second original data points to obtain the multiple second data points.

4. The tower clearance sensor anomaly detection method according to claim 3, characterized by, After the fitting of the relationship between the maximum blade out-of-plane load values and the minimum tower clearance values according to the multiple second data points corresponding to different blades respectively to obtain the first relationship, the method further comprises: calculating deviation degrees of the multiple second data points and the first relationship respectively; generating a preset deviation threshold according to the deviation degrees corresponding to the multiple second data points respectively.

5. The tower clearance sensor anomaly detection method according to claim 4, characterized by, The generation of the preset deviation threshold according to the deviation degrees corresponding to the multiple second data points respectively comprises: determining a maximum deviation degree from the deviation degrees corresponding to the multiple second data points respectively; calculating and generating the preset deviation threshold according to a preset correction coefficient and the maximum deviation degree.

6. The tower clearance sensor anomaly detection method of claim 1, wherein The first preset azimuth angle range is (60°-Δφ, 60°+Δφ), (180°-Δφ, 180°+Δφ), or (300°-Δφ, 300°+Δφ).

7. A tower clearance sensor anomaly detection apparatus, characterized by, The tower clearance sensor abnormality detection device comprises: a first obtaining module configured to obtain first data points of the blades, the first data points comprising maximum blade out-of-plane load values and minimum tower clearance values of the blades when the blade azimuth angle is in a first preset azimuth angle range; the first preset azimuth angle range is an azimuth angle range when the blades run to the bottom range; The first determining module is configured to calculate a deviation degree between the first data point of the blade and a first relationship; the first relationship is a relationship between a maximum blade out-of-plane load value and a minimum tower clearance value of each blade on the impeller, which is obtained by linear fitting under the condition that the tower clearance sensor and the blade load sensor are normal, the impeller normally rotates for multiple revolutions, and the maximum blade out-of-plane load value and the minimum tower clearance value are linearly fitted; The second determining module is configured to determine that the minimum tower clearance value in the first data point is abnormal data and the tower clearance sensor is abnormal when the deviation degree is higher than a preset deviation threshold.

8. A wind power unit, characterized in that The wind turbine generator set comprises: a tower; a generator; an impeller comprising a plurality of blades and a hub connected to the plurality of blades; a plurality of sets of blade load sensors respectively arranged on the plurality of blades; an impeller azimuth angle sensor arranged on the hub; a tower clearance sensor arranged on the tower; a controller in communication connection with the plurality of sets of blade load sensors, the impeller azimuth angle sensor and the tower clearance sensor, and configured to implement the tower clearance sensor abnormality detection method according to any one of claims 1 to 6.

9. A tower clearance sensor anomaly detection apparatus characterized by, The tower clearance sensor abnormality detection device comprises a processor and a memory storing computer program instructions; The processor executes the computer program instructions to implement the tower clearance sensor abnormality detection method according to any one of claims 1 to 6.

10. A computer storage medium, characterized in that, The computer storage medium stores computer program instructions, and the computer program instructions are executed by the processor to implement the tower clearance sensor abnormality detection method according to any one of claims 1 to 6.

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