CN116412086A - Determination method for recalibration of blade load sensor and related equipment - Google Patents

Determination method for recalibration of blade load sensor and related equipment Download PDF

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Publication number
CN116412086A
CN116412086A CN202111674574.3A CN202111674574A CN116412086A CN 116412086 A CN116412086 A CN 116412086A CN 202111674574 A CN202111674574 A CN 202111674574A CN 116412086 A CN116412086 A CN 116412086A
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Prior art keywords
blade
relation
impeller
value
determining
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田萌
刘磊
王菲菲
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Beijing Goldwind Science and Creation Windpower Equipment Co Ltd
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Beijing Goldwind Science and Creation Windpower Equipment Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D17/00Monitoring or testing of wind motors, e.g. diagnostics
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Wind Motors (AREA)

Abstract

The application discloses a method for determining recalibration of a blade load sensor and related equipment. The method for determining recalibration of the blade load sensor comprises the following steps: obtaining m first data points of the blade, wherein each first data point comprises 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 a first preset azimuth angle range; fitting to obtain a first relation between a maximum impeller out-of-plane direction load value and a minimum tower clearance value of the blade according to m first data points; determining deviation between relation coefficients according to the first relation and the second relation; and recalibrating the blade load sensor of the blade when the deviation is higher than a preset deviation threshold value. According to the embodiment of the application, when the load drift occurs to the blade load sensor, the blade load sensor can be recalibrated in time to eliminate the load drift. And moreover, the blade load sensor needing recalibration can be accurately positioned, the recalibration times are reduced, and the recalibration cost is reduced.

Description

Determination method for recalibration of blade load sensor and related equipment
Technical Field
The application belongs to the technical field of wind power, and particularly relates to a method for determining recalibration of a blade load sensor and related equipment.
Background
At present, in a wind turbine generator, blade load sensors are usually respectively arranged on each blade so as to measure the out-of-plane direction load of the blade.
With the continuous operation of the wind turbine generator, the problem of measuring load drift is easy to occur after the blade load sensor operates for a long time. Currently, to avoid measuring load drift, blade load sensors need to be recalibrated periodically.
When the recalibration period is too long, the measurement load drift easily occurs between the two calibration periods, so that the normal operation of the unit is influenced, the generated energy is reduced, and even the fault risk is possibly caused; and when the period setting of recalibration is short, the time and the labor are consumed for recalibration each time, the requirements on wind conditions are severe, the normal operation of the unit can be influenced, the generated energy is reduced, and a large amount of manpower resources and cost can be consumed in the recalibration process.
Disclosure of Invention
The embodiment of the application provides a method for determining recalibration of a blade load sensor and related equipment, which can solve the technical problems that the blade load sensor needs to be recalibrated periodically, but the calibration period is difficult to judge.
In a first aspect, an embodiment of the present application provides a method for determining recalibration of a blade load sensor, the method including:
obtaining m first data points of the blade, wherein each first data point comprises 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 a first preset azimuth angle range; m is an integer greater than 1;
fitting a relation between a maximum impeller out-of-plane directional load value and a minimum tower clearance value of the blade according to the m first data points to obtain a first relation between the maximum impeller out-of-plane directional load value and the minimum tower clearance value of the blade;
determining the deviation between the relationship coefficient of the first relationship and the relationship coefficient of the second relationship according to the first relationship and the second relationship; the second relation is to fit the maximum impeller out-of-plane direction load value and the minimum tower clearance value of each blade on the impeller, and the obtained relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value;
and recalibrating the blade load sensor of the blade when the deviation is higher than a preset deviation threshold value.
In some embodiments, prior to acquiring the m first data points of the blade, the method further comprises:
Respectively acquiring a plurality of second data points corresponding to different blades on the impeller, wherein the second data points of the different blades are the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blades when the impeller azimuth angle is in different azimuth angle ranges;
and fitting a relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value according to a plurality of second data points corresponding to different blades respectively to obtain a second relation.
In some embodiments, respectively acquiring a plurality of second data points corresponding to different blades on the impeller respectively specifically includes:
respectively acquiring a plurality of second original data points corresponding to different blades on the impeller;
and selecting a second original data point without abnormality of the tower clearance sensor and the blade load sensor from the plurality of second original data points, and obtaining a plurality of second data points.
In some embodiments, the first relationship and the second relationship are both linear relationships; according to the first relation and the second relation, determining the deviation between the relation coefficient of the first relation and the relation coefficient of the second relation specifically comprises the following steps:
determining a first slope and a first intercept in a first relationship from the first relationship;
determining a second slope and a second intercept in a second relationship from the second relationship;
The slope difference is determined from the first slope and the second slope, and the intercept difference is determined from the first intercept and the second intercept.
In some embodiments, recalibrating the blade load sensor of the blade when the deviation is above a preset deviation threshold comprises:
and recalibrating the blade load sensor of the blade when the slope difference value is larger than a preset slope deviation range and/or the intercept difference value is larger than a preset intercept deviation range.
In some embodiments, the first predetermined azimuth range is (60 ° - ΔΦ,60 ° +ΔΦ), (180 ° - ΔΦ,180 ° +ΔΦ), or (300 ° - ΔΦ,300 ° +ΔΦ).
In a second aspect, an embodiment of the present application provides a device for determining recalibration of a blade load sensor, the device comprising:
the first acquisition module is used for acquiring m first data points of the blade, wherein each data point comprises 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 a first preset azimuth angle range; m is an integer greater than 1;
the first fitting module is used for fitting the relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade according to m first data points so as to obtain a first relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade;
The first determining module is used for determining deviation between the relation coefficient of the first relation and the relation coefficient of the second relation according to the first relation and the second relation; the second relation is that fitting is carried out according to the maximum impeller out-of-plane direction load value and the minimum tower clearance value of each blade on the impeller, and the obtained relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value is obtained;
and the second determining module is used for determining to recalibrate the blade load sensor of the blade when the deviation is higher than a preset deviation threshold value.
In a third aspect, embodiments of the present application provide a wind turbine generator system, the wind turbine generator system including:
a tower;
a generator;
an impeller including a plurality of blades and a hub connecting the plurality of blades;
the blade load sensors are respectively and correspondingly arranged on the blades;
the impeller azimuth sensor is arranged on the hub;
the tower clearance sensor is arranged on the tower;
and the controller is respectively in communication connection with the plurality of groups of blade load sensors, the impeller azimuth angle sensor and the tower clearance sensor, and is used for realizing the method for determining recalibration of the blade load sensors.
In a fourth aspect, an embodiment of the present application provides a determining apparatus for recalibrating a blade load sensor, the determining apparatus for recalibrating a blade load sensor comprising: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the method for determining recalibration of the blade load sensor as described above.
In a fifth aspect, embodiments of the present application provide a computer storage medium having stored thereon computer program instructions which, when executed by a processor, implement a method of determining blade load sensor recalibration as described above.
Compared with the prior art, the method for determining recalibration of the blade load sensor provided by the embodiment of the application can detect the out-of-blade-plane direction load value and the tower clearance value of the blade when the impeller of the wind turbine rotates and the impeller azimuth angle is in the first preset azimuth angle range, and determine the maximum out-of-blade-plane direction load value and the minimum tower clearance value of the blade in the range to be used as the first data point. After m data points of a certain blade are obtained, a corresponding relation between a maximum impeller out-of-plane direction load value and a minimum tower clearance value in the m data points, namely a first relation, can be fitted. According to a second relation representing the corresponding relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value, which is obtained by fitting in advance of the unit, the deviation between the relation coefficients can be calculated after the relation coefficient of the first relation and the relation coefficient of the second relation are determined. When the deviation is higher than a preset deviation threshold value, the problem that the blade load sensor of the blade in the current state has load drift due to long-time operation is solved, and the blade load sensor of the blade needs to be recalibrated so as to timely eliminate the load drift when the blade load sensor of the blade has the load drift. After the first relation corresponding to each blade on the impeller is respectively determined, whether the blade load sensor on each blade needs to be recalibrated or not can be respectively judged, so that recalibration of the blade load sensor without load drift is avoided, the recalibration times are reduced, and the recalibration cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a method for determining recalibration of a blade load sensor according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for determining recalibration of a blade load sensor according to another embodiment of the present application;
FIG. 3 is a schematic view of an impeller azimuth angle provided by an embodiment of the present application;
FIG. 4 is a schematic structural view of a determination device for recalibration of a blade load sensor according to an embodiment of the present application;
FIG. 5 is a hardware architecture schematic of a blade load sensor recalibration determination apparatus according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application are described in detail below to make the objects, technical solutions and advantages of the present application more apparent, and to further describe the present application in conjunction with the accompanying drawings and the detailed embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative of the application and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by showing an example of the present application.
It is noted that 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 variation 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 may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The embodiments will be described in detail below with reference to the accompanying drawings.
At present, in a wind turbine generator, blade load sensors are usually respectively arranged on each blade so as to measure the out-of-plane direction load of the blade. With the continuous operation of the wind turbine generator, the problem of measuring load drift is easy to occur after the blade load sensor operates for a long time.
Whether the measurement result of the load sensor drifts or not is difficult to identify by conventional means, and a field group controller is generally required to judge based on big data. In the related art, the amount of data required for judging whether the load sensor has drift is large, and a field group controller must be relied on. It is difficult to judge the validity of data on a site where the group controller is not disposed.
In order to avoid measuring load drift, a current common method is to regularly calibrate a blade load sensor for a wind generating set. The calibration period may generally be set to vary from one month to one year depending on factors such as sensor quality, operating environment, installation level, and the like.
When the recalibration period is too long, the measurement load drift easily occurs between the two calibration periods, so that the normal operation of the unit is influenced, the generated energy is reduced, and even the safety risk is possibly caused; and when the period setting of recalibration is short, the time and the labor are consumed for recalibration each time, the requirements on wind conditions are severe, the normal operation of the unit can be influenced, the generated energy is reduced, and a large amount of manpower resources can be consumed in the calibration process.
In order to solve the technical problems, the embodiment of the application provides a method for determining recalibration of a blade load sensor and related equipment. The following first describes a method for determining recalibration of a blade load sensor provided by an embodiment of the present application.
FIG. 1 illustrates a schematic configuration of a method for determining recalibration of a blade load sensor according to an embodiment of the present application. The method for determining recalibration of the blade load sensor comprises the following steps:
s110, acquiring m first data points of the blade, wherein each first data point comprises 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 a first preset azimuth angle range; m is an integer greater than 1;
s120, fitting a relation between a maximum impeller out-of-plane direction load value and a minimum tower clearance value of the blade according to m first data points to obtain a first relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade;
s130, determining deviation between a relation coefficient of the first relation and a relation coefficient of the second relation according to the first relation and the second relation; the second relation is to fit the maximum impeller out-of-plane direction load value and the minimum tower clearance value of each blade on the impeller, and the obtained relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value;
s140, recalibrating the blade load sensor of the blade when the deviation is higher than a preset deviation threshold.
In a wind turbine generator, a plurality of blades are usually arranged on an impeller, and the included angles of the plurality of blades are kept consistent. Hereinafter, an example in which 3 blades are provided on the impeller will be described.
Referring to fig. 3, among the 3 blades on the impeller, the included angle between each two blades is 120 °. In order to represent the current position of each blade, the positioning of the blade position may be performed by the impeller azimuth angle. When the blades rotate clockwise, the blades can be numbered, and the included angle between the blades 1 and the vertical axis of the impeller is used as the impeller azimuth angle. For example, when the impeller azimuth angle is 0 °, it means that the blade 1 is vertically upward at this time, and when the impeller azimuth angle is 120 °, it means that the blade 1 is rotated 120 ° from the vertically upward direction, and the blade 3 is vertically upward at this time. Similarly, at an impeller azimuth angle of 240 °, the blade 2 is shown vertically upward.
In this embodiment, when the wind turbine generator system is running in real time, when the impeller azimuth angle is in the first preset azimuth angle range, the out-of-impeller-plane direction load value and the tower clearance value of the blades can be detected, and the maximum out-of-impeller-plane direction load value and the minimum tower clearance value of the blades in the range can be determined as the first data point. After m data points of a certain blade are obtained, a corresponding relation between a maximum impeller out-of-plane direction load value and a minimum tower clearance value in the m data points, namely a first relation, can be fitted. According to a second relation representing the corresponding relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value, which is obtained by fitting in advance of the unit, the deviation between the relation coefficients can be calculated after the relation coefficient of the first relation and the relation coefficient of the second relation are determined. When the deviation is higher than a preset deviation threshold value, the problem that the blade load sensor of the blade in the current state has load drift due to long-time operation is solved, and the blade load sensor of the blade needs to be recalibrated so as to timely eliminate the load drift when the blade load sensor of the blade has the load drift. After the first relation corresponding to each blade on the impeller is respectively determined, whether the blade load sensor on each blade needs to be recalibrated or not can be respectively judged, so that recalibration of the blade load sensor which does not need to be recalibrated is avoided, the recalibration times are reduced, and the recalibration cost is reduced.
In S110, when the wind turbine generator system is operating in real time, a plurality of blades on the wind turbine generator system are continuously rotating. The current impeller azimuth angle of the unit can be detected by the impeller azimuth angle sensor, and the current position of each blade is determined according to the current impeller azimuth angle. It will be appreciated that each time the impeller rotates 1 revolution, if the impeller azimuth angle is within a first preset azimuth angle range, a maximum impeller out-of-plane direction load value and a minimum tower clearance value can be detected as first data points within the revolution according to the blade load sensor and the tower clearance sensor. When the impeller rotates for m circles, m first data points can be obtained by continuously detecting the blades.
It can be understood that a first preset azimuth angle range is preset in the unit, and when the impeller azimuth angle sensor detects that the impeller azimuth angle is within the first preset azimuth angle range, an out-of-plane direction load value of the impeller can be detected through a blade load sensor arranged on the blade, and a tower clearance value can be detected through a tower clearance sensor arranged on a tower of the unit.
The tower clearance value refers to the distance between the blade and the tower when the blade runs to the bottom range. Therefore, the first preset azimuth angle range is an azimuth angle range when the blade to be detected moves to the bottom range.
Because the impeller azimuth is in the first preset azimuth range, the blade load sensor and the tower clearance sensor can detect a plurality of impeller out-of-plane direction load value data and tower clearance value data when the blades move. The unit may select a maximum out-of-impeller-face directional load value from the plurality of out-of-impeller-face directional load value data and a minimum tower clearance value from the plurality of tower clearance value data. The maximum impeller out-of-plane directional load value and the minimum tower clearance value may be the first data points for the blade.
It is understood that the maximum out-of-plane direction load value is the maximum of the plurality of detected out-of-plane direction load values of the blade when the impeller azimuth angle is within the first preset azimuth angle range. The minimum tower clearance value is the minimum value of the plurality of tower clearance values detected when the impeller azimuth angle is within a first preset azimuth angle range. That is, the position of the blade corresponding to the maximum out-of-plane load value of the impeller and the position corresponding to the minimum tower clearance value may be the same position or may be different positions.
As an alternative embodiment, referring to fig. 2, before S110, the method may further include:
S210, respectively acquiring a plurality of second data points corresponding to different blades on the impeller, wherein the second data points of the different blades are the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blades when the impeller azimuth angle is in different azimuth angle ranges;
and S220, fitting a relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value according to a plurality of second data points corresponding to different blades respectively to obtain a second relation.
In this embodiment, before recalibration detection of the blade load sensor is performed on the unit, it is further required to control the unit to operate for a period of time, and obtain second data points corresponding to each blade in the period of time. A second relationship may be fitted from the second data points. The second relation can be used for representing the relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the unit under the normal running state. When the unit runs in real time, whether the blade load sensor needs to be recalibrated or not can be determined according to the deviation between the first relation obtained by fitting the m first data points and the second relation, so that the blade load sensor needing to be recalibrated is determined in a plurality of blade load sensors, unnecessary calibration times are reduced, and the calibration cost is reduced.
In S210, the unit may be controlled to run for a period of time before acquiring m first data points of the blade in real time and determining whether the blade load sensor needs recalibration. And acquiring a plurality of second data points for each blade on the impeller during the run time.
For any blade on the impeller, when the impeller rotates for 1 turn in the running time, the blade can respectively detect a plurality of impeller out-of-plane direction load values and a plurality of tower clearance values through the blade load sensor and the tower clearance sensor when the impeller azimuth angle is in a corresponding azimuth angle range, and the maximum impeller out-of-plane direction load value and the minimum tower clearance value are determined as second data points. That is, one blade may determine one second data point for each 1 revolution of the impeller.
If the impeller rotates n times, each blade on the impeller may determine n second data points. A total of 3 blades can determine 3n second data points.
It will be appreciated that for each blade, the blade should operate in the bottom range when the impeller azimuth angle is in the corresponding azimuth angle range. For example, when the impeller azimuth angle of the blade 1 is 180 °, the impeller azimuth angle range corresponding to the blade 1 may be an angle range including 180 °, for example, 175 ° to 185 °.
When the impeller azimuth angle is between 175 ° and 185 °, the blade 1 is now operating in the bottom range, the tower clearance sensor can detect a plurality of tower clearance values as the blade 1 is operating from the 175 ° position to the 185 ° position, and determine the minimum tower clearance value. The blade load sensor may then detect a plurality of out-of-impeller-face directional load values as the blade 1 is traveling from the 175 deg. position to the 185 deg. position and determine a maximum out-of-impeller-face directional load value.
As an alternative embodiment, the step S210 may further include:
s310, respectively acquiring a plurality of second original data points corresponding to different blades on the impeller;
s320, selecting a second original data point without abnormality of the tower clearance sensor and the blade load sensor from the plurality of second original data points, and obtaining a plurality of second data points.
In this embodiment, when the impeller rotates, a plurality of second raw data points corresponding to different blades may be acquired. By screening the second original data points, abnormal data points can be screened out to obtain a plurality of second data points required by fitting the second relationship, and the second original data points are screened out, so that the second data points fitting the first relationship are data points when the sensor normally operates, and the accuracy of the first relationship obtained by fitting is improved.
In S310, each blade on the impeller may be run to the bottom range once for each revolution of the impeller and a corresponding one of the second data points is determined. That is, a second data point equal to the number of blades can be determined for each revolution of the impeller.
As the impeller rotates n times, 3 blades on the impeller can determine 3n second raw data points.
In S320, after a plurality of second raw data points determined for different blades on the impeller, a second raw data point having no anomalies in both the tower clearance sensor and the blade load sensor may be selected from the plurality of second raw data points.
For each blade on the impeller, when the unit is in normal operation, the load in the out-of-plane direction of the impeller on the blade is in the normal load range, and the clearance value of the tower between the blade and the tower is also in the normal clearance range. And for 3n second original data points obtained after the impeller rotates for n circles, respectively screening the maximum impeller out-of-plane direction load value and the minimum tower clearance value in each second original data point to screen out the maximum impeller out-of-plane direction load value which is not in a normal load range and the minimum tower clearance value which is not in a normal clearance range. When a certain maximum impeller out-of-plane direction load value is abnormal or a certain minimum tower clearance value is abnormal, the corresponding second original data point can be screened out to be used as the second original data point with abnormal data. And the second original data point with normal data obtained after screening can be used as the second data point fitting the second relation.
It will be appreciated that the above screening method may be to preset a normal range of out-of-plane direction load values of the impeller and a normal range of tower clearance values, and screen the values in each second raw data point. The second original data point with abnormal numerical value can also be manually screened by adopting a manual screening mode.
In S220, after the impeller rotates n circles and a plurality of second data points corresponding to different blades are obtained, a maximum impeller out-of-plane direction load value and a minimum tower clearance value in the plurality of second data points may be fitted to obtain a fitting result, and the fitting result is used as a second relationship. For example, by linear fitting the maximum impeller out-of-plane directional load value and the minimum tower clearance value, a linear fit result L may be obtained.
It can be understood that in the linear fitting process, a plurality of maximum impeller out-of-plane direction load values can be used as a parameter x, a plurality of minimum tower clearance values can be used as a parameter y, and a regression equation obtained by linear fitting is as follows:
L:y=a*x+b。
in S120, after the impeller rotates at least m turns and m first data points are obtained, fitting may be performed according to m maximum impeller out-of-plane direction load values and m minimum tower clearance values in the m first data points, so as to obtain a first relationship that characterizes a relationship between the maximum impeller out-of-plane direction load values and the minimum tower clearance values. For example, by performing a linear fit to the maximum impeller out-of-plane directional load value and the minimum tower clearance value, a corresponding linear fit result may be obtained.
In S130, after m first data points of the blade are obtained in the recalibration process and fitted to obtain a corresponding first relationship, a second relationship stored in advance may be obtained. And determining a relationship coefficient of the first relationship and a relationship coefficient of the second relationship, respectively.
When the impeller rotates normally for m circles, each blade corresponds to a plurality of maximum impeller out-of-plane direction load values and a plurality of minimum tower clearance values. After the maximum impeller out-of-plane direction load values and the minimum tower clearance values of all the blades are fitted, the fitting corresponding relation, namely the second relation, of the maximum impeller out-of-plane direction load values and the minimum tower clearance values can be determined.
After determining the relationship coefficient of the first relationship and the relationship coefficient of the second relationship, a deviation between the two relationship coefficients may be calculated.
As an alternative embodiment, the first relationship and the second relationship are both linear relationships, and S130 may further include:
s410, determining a first slope and a first intercept in a first relation according to the first relation;
s420, determining a second slope and a second intercept in a second relation according to the second relation;
s430, determining a slope difference value according to the first slope and the second slope, and determining an intercept difference value according to the first intercept and the second intercept.
In this embodiment, when the first relationship and the second relationship are both linear, the relationship coefficients of the first relationship and the second relationship may be represented by a slope and an intercept, respectively. The deviation between the relationship coefficients may include a deviation between the slopes of the two relationships and a deviation between the intercepts of the two relationships. By calculating the slope difference and the intercept difference, respectively, a deviation between the relationship coefficient of the first relationship and the relationship coefficient of the second relationship can be determined.
In S410, the first relationship and the second relationship may be linear relationships, and the first relationship is a correspondence relationship obtained by linear fitting between m maximum out-of-plane direction load values and m minimum tower clearance values in m first data points of the blade in the calibration detection process. The second relation is a corresponding relation obtained by linear fitting between a maximum impeller out-of-plane direction load value and a minimum tower clearance value in a plurality of second data points on a plurality of blades of the unit in the previous operation process.
The fitted first and second relationships may each be represented in the form of a regression equation. The two parameters in the regression equation are the slope and intercept of the regression equation.
For example, the regression equation for the first relationship may be expressed as:
L1:y=a1*x+b1;
the regression equation for the second relationship can be expressed as:
L2:y=a2*x+b2;
after the fitting to obtain the first relationship, the first slope in the first relationship is determined to be a1, and the first intercept is determined to be b1.
In S420, the second slope in the second relationship may be determined to be a2 and the second intercept is b2 after the second relationship is obtained by fitting in the same manner as the first slope and the first intercept in the first relationship.
In S430, after determining the first slope and the second slope, an absolute value of a slope difference between the first slope and the second slope may be calculated. After determining the first intercept and the second intercept, an absolute value of an intercept difference of the first intercept and the second intercept may also be calculated. For example, the slope difference is | (a 1-a 2) |, and the intercept difference is | (b 1-b 2) |.
In S140, after determining the deviation between the relationship coefficients of the first relationship and the second relationship, the deviation may be compared with a preset deviation threshold. When the deviation is higher than a preset deviation threshold value, the abnormal sensing data of the blade load sensor on the blade can be determined, and the blade load sensor of the blade needs to be recalibrated. And when the deviation is lower than a preset deviation threshold value, the sensing data of the blade load sensor on the blade can be determined to be normal data, and the blade load sensor does not need to be recalibrated.
In the first relationship, the m first data points are all first data points on the same blade. And the plurality of second data points in the second relationship includes second data points measured by the plurality of blades on the impeller. Therefore, when the deviation between the first relation and the second relation is higher than the preset deviation threshold, it can be determined that the detected data of the blade load sensor on the blade corresponding to the first data point is abnormal, and the blade load sensor needs to be recalibrated. In the process of rotating the impeller, for each blade, the maximum impeller out-of-plane direction load value and the minimum tower clearance value corresponding to the blade can be detected through the blade load sensor on the blade and the tower clearance sensor on the tower.
When the number of the blades on the impeller is 3, after the impeller rotates for m circles, each blade in the 3 blades can determine m first data points corresponding to the first data points, and fit to form a first relation corresponding to the blade. According to the first relation corresponding to each blade and the second relation calculated by pre-calibration, whether each blade needs to be recalibrated by the blade load sensor or not can be independently determined.
As an alternative embodiment, the step S140 may further include:
s510, recalibrating the blade load sensor of the blade when the slope difference value is larger than a preset slope deviation range and/or the intercept difference value is larger than a preset intercept deviation range.
In this embodiment, after calculating the slope difference value and the intercept difference value, a preset slope deviation range and a preset intercept deviation range that are preset may be obtained. When any one of the two conditions that the slope difference value is larger than the preset slope deviation range and the intercept difference value is larger than the preset intercept deviation range is met, the load drift of the blade load sensor of the blade can be determined, and the blade load sensor is recalibrated.
In S510, when the first relationship and the second relationship are both linear, the deviation between the relationship coefficients includes a slope deviation and an intercept deviation. The preset deviation threshold may include a preset slope deviation range and a preset intercept deviation range, respectively.
When calculating whether the slope deviation is larger than the preset slope deviation range and whether the intercept deviation is larger than the preset intercept deviation range, if one of the slope deviation and the intercept deviation exceeds the corresponding preset deviation range, the deviation between the relationship coefficients is higher than the preset deviation threshold. That is, when the slope deviation is higher than the preset slope deviation range or the intercept deviation is higher than the preset intercept deviation range, the deviation between the relationship coefficient of the first relationship and the relationship coefficient of the second relationship may be higher than the preset deviation threshold. Accordingly, when both the slope deviation and the intercept deviation are below the corresponding deviation thresholds, it may be determined that the deviation between the relationship coefficients is below the preset deviation threshold.
As an alternative embodiment, the first predetermined azimuth angle range may be (60 ° - ΔΦ,60 ° +ΔΦ), (180 ° - ΔΦ,180 ° +ΔΦ), or (300 ° - ΔΦ,300 ° +ΔΦ).
When the impeller azimuth angle is 60 degrees, the blades 2 are vertically downward; when the azimuth angle of the impeller is 180 degrees, the blades 1 are vertically downward; at an impeller azimuth angle of 300 deg., the blades 3 are vertically downward. The blade 2 is in the bottom zone when the first preset azimuth angle range is (60 ° - ΔΦ,60 ° +ΔΦ); when the first preset azimuth angle range is (180 ° - ΔΦ,180 ° +ΔΦ), the blade 1 is in the bottom region; when the first predetermined azimuth angle range is (300 ° - ΔΦ,300 ° +ΔΦ), the blade 3 is in the bottom region. Wherein Δφ may be set according to the detection performance of the tower clearance sensor. For example, in a first predetermined azimuth angle range (180 ° - Δφ,180 ° +Δφ), the rotational angle of the blade 1 is moved by 2Δφ, i.e., the tower clearance sensor needs to detect a plurality of tower clearance values during the time required for the blade 1 to move by 2Δφ.
In the rotation of the impeller in the kth turn, the maximum value of the plurality of impeller out-of-plane direction load values detected by the blades 1 in the turn is M k1 The minimum value of the tower clearance values is C k1 The method comprises the steps of carrying out a first treatment on the surface of the The maximum value of the plurality of impeller out-of-plane direction load values detected by the blades 2 in the circle is M k2 The minimum value of the tower clearance values is C k2 The method comprises the steps of carrying out a first treatment on the surface of the The maximum value of the plurality of impeller out-of-plane direction load values detected by the blades 3 in the circle is M k3 The minimum value of the tower clearance values is C k3 . Wherein k is a positive integer.
The data set of the second data points detected by blade 1, blade 2 and blade 3 at the impeller rotation of n turns is: (Mni, cni) (i=1, 2, 3);
and screening second data points without abnormality of the tower clearance sensor and the blade load sensor from the data set to form a sample Y for training a model.
A linear fit result L of Mni and Cni can be generated from the maximum impeller out-of-plane load value and the minimum tower clearance value in sample Y.
The slope and intercept of the linear fit result L may be determined from the regression equation of the linear fit result L and used as the second slope and second intercept in the second relationship.
After determining the second slope a2 and the second intercept b2, a preset slope deviation range and a preset intercept deviation range may be determined from each second data point in the sample Y. For example, the maximum impeller out-of-plane load value and the minimum tower clearance value in each second data point are substituted into y=a2x+bi as the values of the x parameter and the y parameter, respectively. When the value of a2 is determined to be the second slope, the sample intercept bi corresponding to each second data point is calculated respectively. After determining the plurality of sample intercepts bi, calculating the difference value between each sample intercept bi and the second intercept b2 respectively, and taking the maximum difference value as a preset intercept deviation range.
Similarly, the maximum impeller out-of-plane load value and the minimum tower clearance value in each second data point are substituted into y= aix +b2 as the values of the x parameter and the y parameter, respectively. When the value of b2 is determined to be the second intercept, a sample slope ai corresponding to each second data point is calculated respectively. After determining the plurality of sample slopes ai, a difference between each sample slope ai and the second slope a2 may be calculated, and the maximum difference may be used as a preset slope deviation range.
When the unit runs in real time, m first data points determined when a single blade rotates for m circles can be obtained, and whether the blade load sensor of the blade needs to be recalibrated or not is determined according to a first relation fitted by the m first data points of the blade. Hereinafter, the blade 1 will be described as an example.
If the first predetermined azimuth angle range is (180 ° - ΔΦ,180 ° +ΔΦ) for every 1 rotation of the impeller, which indicates that the blade 1 passes through the bottom region, a first data point (M) of the blade 1 can be obtained 1 、C 1 ). After m revolutions of the impeller, m first data points of the blade 1 can be obtained. According to the maximum impeller out-of-plane direction load value and the minimum tower clearance value in the m first data points, a linear fitting relation corresponding to the blade 1 can be generated in a linear fitting mode, and the slope and the intercept in the linear fitting relation are determined and used as a first slope and a first intercept corresponding to the blade 1.
After calculating the slope difference value of the first slope and the second slope, whether the slope difference value is larger than a preset slope deviation range or not can be judged, when the slope difference value is larger than or equal to the preset slope deviation range, abnormal sensing data of the blade load sensor on the blade can be determined, and recalibration is carried out on the blade load sensor of the blade 1.
Similarly, after the intercept difference value of the first intercept and the second intercept is calculated, whether the intercept difference value is larger than a preset intercept deviation range or not can be judged, when the intercept difference value is larger than or equal to the preset intercept deviation range, the abnormal sensing data of the blade load sensor on the blade can be determined, and the blade load sensor of the blade 1 is recalibrated.
Based on the determination method for recalibration of the blade load sensor provided by the embodiment, correspondingly, the application also provides a specific implementation mode of the determination device for recalibration of the blade load sensor. Please refer to the following examples.
Referring first to FIG. 4, a determination device 400 for recalibration of a blade load sensor provided by an embodiment of the present application includes the following modules:
a first obtaining module 401, configured to obtain m first data points of the blade, where each data point includes a maximum impeller out-of-plane direction load value and a minimum tower clearance value of the blade when the impeller azimuth is in a first preset azimuth range; m is an integer greater than 1;
A first fitting module 402, configured to fit a relationship between a maximum impeller out-of-plane direction load value and a minimum tower clearance value of the blade according to m first data points, so as to obtain a first relationship between the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade;
a first determining module 403, configured to determine a deviation between a relationship coefficient of the first relationship and a relationship coefficient of the second relationship according to the first relationship and the second relationship; the second relation is that fitting is carried out according to the maximum impeller out-of-plane direction load value and the minimum tower clearance value of each blade on the impeller, and the obtained relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value is obtained;
a second determination module 404 is configured to determine to recalibrate the blade load sensor of the blade when the deviation is above a preset deviation threshold.
In this embodiment, when the wind turbine generator system is running in real time, when the impeller azimuth angle is in the first preset azimuth angle range, the out-of-impeller-plane direction load value and the tower clearance value of the blades can be detected, and the maximum out-of-impeller-plane direction load value and the minimum tower clearance value of the blades in the range can be determined as the first data point. After m data points of a certain blade are obtained, a corresponding relation between a maximum impeller out-of-plane direction load value and a minimum tower clearance value in the m data points, namely a first relation, can be fitted. According to a second relation representing the corresponding relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value, which is obtained by fitting in advance of the unit, the deviation between the relation coefficients can be calculated after the relation coefficient of the first relation and the relation coefficient of the second relation are determined. When the deviation is higher than a preset deviation threshold value, the problem that the blade load sensor of the blade in the current state has load drift due to long-time operation is solved, and the blade load sensor of the blade needs to be recalibrated so as to timely eliminate the load drift when the blade load sensor of the blade has the load drift. After the first relation corresponding to each blade on the impeller is respectively determined, whether the blade load sensor on each blade needs to be recalibrated or not can be respectively judged, so that recalibration of the blade load sensor which does not need to be recalibrated is avoided, and various resources and costs consumed by recalibration are saved.
As an implementation manner of the present application, in order to generate the second relationship by fitting in advance, the abnormality detection apparatus 400 may further include:
the second acquisition module is used for respectively acquiring a plurality of second data points corresponding to different blades on the impeller, wherein the second data points of the different blades are the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blades when the impeller azimuth angle is in different azimuth angle ranges;
and the second fitting module is used for fitting the relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value according to a plurality of second data points respectively corresponding to different blades to obtain a second relation.
As an implementation manner of the present application, in order to screen out sensor data without anomalies, the second obtaining module may further include:
the acquisition unit is used for respectively acquiring a plurality of second original data points corresponding to different blades on the impeller;
and the screening unit is used for selecting a second original data point without abnormality 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.
As an implementation manner of the present application, in order to determine the deviation between the relationship coefficients, the first determining module 403 may further include:
A first determining unit configured to determine a first slope and a first intercept in a first relationship according to the first relationship;
a second determining unit configured to determine a second slope and a second intercept in a second relationship according to the second relationship;
and a third determining unit for determining a slope difference value according to the first slope and the second slope, and determining an intercept difference value according to the first intercept and the second intercept.
As an implementation of the present application, to determine whether recalibration of the blade load sensor of the blade is required, the second determination module 404 may further include:
and the recalibration unit is used for recalibrating the blade load sensor of the blade when the slope difference value is larger than a preset slope deviation range and/or the intercept difference value is larger than a preset intercept deviation range.
The determination device 400 for recalibration of the blade load sensor provided in the embodiment of the present application can implement each step in the above method embodiment, and for avoiding repetition, a description is omitted here.
The embodiment of the application also provides a wind generating set, and the wind generating set includes pylon, generator and impeller, and the impeller includes a plurality of blades and connects the wheel hub of a plurality of blades, and wind generating set still includes multiunit blade load sensor, impeller azimuth angle sensor that sets up on the wheel hub, pylon clearance sensor and the controller of setting on the pylon on a plurality of blades respectively.
The controller may be communicatively coupled to the plurality of sets of blade load sensors, the impeller azimuth sensor, and the tower clearance sensor, respectively, to receive the impeller out-of-plane directional load value, the impeller azimuth, and the tower clearance value, respectively. The controller may implement the various steps in the embodiments of the determination method of blade load sensor recalibration of fig. 1-2.
FIG. 5 shows a hardware architecture schematic of a determination device for recalibration of a blade load sensor according to an embodiment of the present application.
The determination device at blade load sensor recalibration may comprise a processor 501 and a memory 502 storing computer program instructions.
In particular, the processor 501 may include a Central Processing Unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured to implement one or more integrated circuits of embodiments of the present application.
Memory 502 may include mass storage for data or instructions. By way of example, and not limitation, memory 502 may comprise a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. Memory 502 may include removable or non-removable (or fixed) media, where appropriate. Memory 502 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 502 is a non-volatile solid state memory.
The memory may include Read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, 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., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors) it is operable to perform the operations described with reference to methods in accordance with aspects of the present disclosure.
The processor 501 reads and executes the computer program instructions stored in the memory 502 to implement any of the blade load sensor recalibration determination methods of the above embodiments.
In one example, the blade load sensor recalibration determination device may further include a communication interface 503 and a bus 510. As shown in fig. 5, the processor 501, the memory 502, and the communication interface 503 are connected to each other by a bus 510 and perform communication with each other.
The communication interface 503 is mainly used to implement communication between each module, apparatus, unit and/or device in the embodiments of the present application.
Bus 510 includes hardware, software, or both that couple components of the determination device for recalibration of the blade load sensor to each other. By way of example, and not limitation, the buses may 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 micro channel 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 a combination of two or more of the above. Bus 510 may include one or more buses, where appropriate. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.
The determination device for recalibration of a blade load sensor may be based on the above-described embodiments, thereby implementing the determination method and apparatus for recalibration of a blade load sensor described in connection with fig. 1-4.
In addition, in combination with the method for determining recalibration of the blade load sensor in the above embodiments, the embodiments of the present application may provide a computer storage medium. The computer storage medium has stored thereon computer program instructions; the computer program instructions, when executed by the processor, implement the method for determining recalibration of the blade load sensor in any of the above embodiments, and achieve the same technical effects, and are not described herein again for avoiding repetition. The computer readable storage medium may include a non-transitory computer readable storage medium, such as Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, and the like, but is not limited thereto.
It should be clear that the present application is not limited to the particular arrangements and processes described above and illustrated in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions, or change the order between steps, after appreciating the spirit of the present application.
The functional blocks shown in the above block diagrams may be implemented in hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuitry, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and the like. The code segments may be downloaded via computer networks such as the internet, intranets, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be different from the order in the embodiments, or several steps may be performed simultaneously.
Aspects of the present disclosure are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to being, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware which performs the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In the foregoing, only the specific embodiments of the present application are described, and it will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, which are intended to be included in the scope of the present application.

Claims (10)

1. A method of determining recalibration of a blade load sensor, the method comprising:
obtaining m first data points of a blade, wherein each first data point comprises 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 a first preset azimuth angle range; m is an integer greater than 1;
fitting a relation between a maximum impeller out-of-plane direction load value and a minimum tower clearance value of the blade according to the m first data points to obtain a first relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade;
Determining the deviation between the relationship coefficient of the first relationship and the relationship coefficient of the second relationship according to the first relationship and the second relationship; the second relation is that the maximum impeller out-of-plane direction load value and the minimum tower clearance value of each blade on the impeller are fitted, and the obtained relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value is obtained;
and recalibrating the blade load sensor of the blade when the deviation is higher than a preset deviation threshold value.
2. The method of determining recalibration of a blade load sensor of claim 1, wherein prior to the obtaining the m first data points of the blade, the method further comprises:
respectively acquiring a plurality of second data points corresponding to different blades on the impeller, wherein the second data points of the different blades are the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blades when the impeller azimuth angle is in different azimuth angle ranges;
and fitting a relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value according to a plurality of second data points corresponding to different blades respectively to obtain a second relation.
3. The method for determining recalibration of a vane load sensor according to claim 2, wherein the obtaining the second data points corresponding to different vanes on the impeller respectively comprises:
Respectively acquiring a plurality of second original data points corresponding to different blades on the impeller;
and selecting a second original data point without abnormality of the tower clearance sensor and the blade load sensor from the plurality of second original data points, and obtaining a plurality of second data points.
4. The method of determining vane load sensor recalibration according to claim 1, wherein the first relationship and the second relationship are both linear relationships; the determining the deviation between the relation coefficient of the first relation and the relation coefficient of the second relation according to the first relation and the second relation specifically comprises the following steps:
determining a first slope and a first intercept in the first relationship from the first relationship;
determining a second slope and a second intercept in the second relationship from the second relationship;
determining a slope difference from the first slope and the second slope, and determining an intercept difference from the first intercept and the second intercept.
5. The method for determining recalibration of a blade load sensor of claim 4, wherein recalibrating the blade load sensor of the blade when the deviation is above a preset deviation threshold comprises:
And recalibrating the blade load sensor of the blade when the slope difference value is larger than a preset slope deviation range and/or the intercept difference value is larger than a preset intercept deviation range.
6. The method of determining recalibration of a blade load sensor according to claim 1, wherein the first predetermined azimuth angle range is (60 ° - ΔΦ,60 ° +ΔΦ), (180 ° - ΔΦ,180 ° +ΔΦ) or (300 ° - ΔΦ,300 ° +ΔΦ).
7. A device for determining recalibration of a blade load sensor, the device comprising:
the first acquisition module is used for acquiring m first data points of the blade, wherein each data point comprises 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 a first preset azimuth angle range; m is an integer greater than 1;
the first fitting module is used for fitting a relation between a maximum impeller out-of-plane direction load value and a minimum tower clearance value of the blade according to the m first data points so as to obtain a first relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value of the blade;
the first determining module is used for determining deviation between the relation coefficient of the first relation and the relation coefficient of the second relation according to the first relation and the second relation; the second relation is a relation between the maximum impeller out-of-plane direction load value and the minimum tower clearance value obtained by fitting according to the maximum out-of-plane direction load value and the minimum tower clearance value of each blade on the impeller;
And the second determining module is used for determining to recalibrate the blade load sensor of the blade when the deviation is higher than a preset deviation threshold value.
8. A wind power generation set, the wind power generation set comprising:
a tower;
a generator;
an impeller including a plurality of blades and a hub connecting the plurality of blades;
the blade load sensors are respectively and correspondingly arranged on the blades;
the impeller azimuth sensor is arranged on the hub;
the tower clearance sensor is arranged on the tower;
a controller in communication with the sets of blade load sensors, impeller azimuth angle sensors, and tower clearance sensors, respectively, for implementing the method of determining recalibration of the blade load sensors of any one of claims 1 to 6.
9. A determination device for recalibration of a blade load sensor, characterized in that the determination device for recalibration of a blade load sensor comprises: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements a method of determining blade load sensor recalibration as claimed in any one of claims 1 to 6.
10. A computer storage medium having stored thereon computer program instructions which when executed by a processor implement a method of determining vane load sensor recalibration according to any one of claims 1 to 6.
CN202111674574.3A 2021-12-31 2021-12-31 Determination method for recalibration of blade load sensor and related equipment Pending CN116412086A (en)

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Application Number Priority Date Filing Date Title
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