CN113340262A - Blade zero drift detection method and system, electronic equipment and storage medium - Google Patents
Blade zero drift detection method and system, electronic equipment and storage medium Download PDFInfo
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- CN113340262A CN113340262A CN202110608362.9A CN202110608362A CN113340262A CN 113340262 A CN113340262 A CN 113340262A CN 202110608362 A CN202110608362 A CN 202110608362A CN 113340262 A CN113340262 A CN 113340262A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/02—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention discloses a blade zero drift detection method, a blade zero drift detection system, electronic equipment and a storage medium, wherein the detection method comprises the following steps: acquiring a first load of a target component when a fan runs; and when the difference value of the first load and a second load of the target component acquired after zero calibration of the blades of the fan is larger than or equal to a deviation threshold value, determining that zero drift of the blades occurs. The invention can judge whether the blade of the fan has zero drift or not through the load of the target component, thereby avoiding the error caused by manual inspection and the influence on the normal operation of the fan on the one hand, and avoiding the additional cost caused by adding a video sensor in the hub or the blade on the other hand.
Description
Technical Field
The invention relates to the field of fan detection, in particular to a blade zero drift detection method and system, electronic equipment and a storage medium.
Background
The blade is one of the core components of the wind driven generator, and when the wind turbine operates, whether the blade is located at a standard position, namely a zero position, is directly related to the performance and the benefit of the wind turbine. The prior art mainly has the following two ways to detect whether the blade has zero drift:
1. manually checking a zero marking line of the root of the blade, and judging whether the blade has zero drift or not according to the alignment condition of the marking line;
2. and carrying out image processing after photographing through the specific sensor system.
Through the first mode, adopt the method of manual inspection promptly, need cooperate specific frock to need rely on people's sight to carry out the counterpoint, have great error. Meanwhile, the fan needs to enter the hub during manual inspection, and the operation of the fan can be influenced.
2, the second method, i.e. the method of processing the image after photographing, is complex to execute and is limited by the relationship, the photographing angle, the image processing algorithm and other factors, and the measurement precision is difficult to improve. Corresponding software and hardware facilities are required to be equipped for photographing and image processing, and the cost is increased greatly.
Disclosure of Invention
The invention aims to overcome the defects of high detection cost and large error of a fan blade in the prior art, and provides a blade zero drift detection method, system, electronic equipment and storage medium with low cost and high precision.
The invention solves the technical problems through the following technical scheme:
the invention provides a blade zero drift detection method, which comprises the following steps:
acquiring a first load of a target component when a fan runs;
and when the difference value of the first load and a second load is larger than or equal to a deviation threshold value, determining that zero drift occurs in the blade, wherein the second load is the load of the target component obtained when the fan runs after zero calibration is performed on the blade of the fan.
Preferably, before the step of determining that the blade has zero drift, the method further comprises:
after the blade is zero-calibrated, acquiring a second load of the target component when the fan runs;
storing the second load.
Preferably, before the step of determining that the blade has zero drift, the method further comprises:
acquiring a first corresponding relation between the simulated running wind speed of the fan and a deviation threshold value, wherein the deviation threshold value represents the deviation load of a target component of the fan when the blade has zero drift and when the blade does not have zero drift;
acquiring a current wind speed;
and acquiring a deviation threshold value corresponding to the current wind speed from the first corresponding relation.
Preferably, the step of obtaining the first corresponding relationship between the simulated wind speed and the deviation threshold when the wind turbine operates specifically includes:
acquiring a third load of the target component when the blade does not have zero drift at different simulated wind speeds;
acquiring a fourth load of the target component when the blade has zero drift at different simulated wind speeds;
and acquiring a first corresponding relation between the wind speed and a deviation threshold according to the wind speed and the difference value between the corresponding third load and the corresponding fourth load.
Preferably, the step of determining that the blade has zero drift further comprises: determining the drift angle of the blade according to a second corresponding relation between the load of the target component and the drift angle when the blade of the simulated fan has zero drift; and/or the presence of a gas in the gas,
the target component comprises at least one of a main shaft, a hub, a wind wheel and a blade; and/or the presence of a gas in the gas,
the step of acquiring the first load of the target component during the running of the fan specifically comprises the following steps: and acquiring a first load of the target component through a load strain sensor, or acquiring the displacement or deformation of the target component, and calculating the first load according to the displacement or deformation.
The invention also provides a blade zero drift detection system, which comprises: the system comprises a load acquisition module and a blade detection module;
the load obtaining module is used for obtaining a first load of a target component when the fan runs;
the blade detection module is used for determining that zero drift occurs to the blade when a difference value between the first load and a second load is larger than or equal to a deviation threshold value, wherein the second load is the load of the target component acquired when the fan runs after zero calibration is performed on the blade of the fan.
Preferably, the detection system further includes a load storage module, which is used for acquiring and storing the second load of the target component when the wind turbine operates after the zero calibration of the blade, and the load acquisition module is further used for calling the load storage module.
Preferably, the detection system further comprises a simulation data acquisition module, a wind speed acquisition module and a threshold acquisition module;
the simulation data acquisition module is used for acquiring a first corresponding relation between the wind speed and a deviation threshold value when the simulated fan runs, wherein the deviation threshold value represents the deviation load of a target component of the blade when the blade has zero drift and when the blade does not have zero drift;
the wind speed acquisition module is used for acquiring the current wind speed;
the threshold value obtaining module is used for obtaining a deviation threshold value corresponding to the current wind speed from the first corresponding relation.
Preferably, the simulation data acquisition module specifically includes a third load acquisition unit, a fourth load acquisition unit and a corresponding relationship acquisition unit;
the third load obtaining unit is used for obtaining a third load of the target component when the blade does not have zero drift under different simulated wind speeds;
the fourth load obtaining unit is used for obtaining a fourth load of the target component when the blade has zero drift at different simulated wind speeds;
the corresponding relation obtaining unit is used for obtaining a first corresponding relation between the wind speed and a deviation threshold value according to the wind speed and a difference value between the corresponding third load and the corresponding fourth load.
Preferably, the detection system further includes a drift angle determination module, the blade detection unit is further configured to invoke the drift angle determination module after determining that the blade has undergone zero drift, and the drift angle determination module is configured to determine a drift angle of the blade according to a second corresponding relationship between a load of the target component and a drift angle when the blade of the simulated fan undergoes zero drift; and/or the presence of a gas in the gas,
the target component comprises at least one of a main shaft, a hub, a wind wheel and a blade; and/or the presence of a gas in the gas,
the step of acquiring the first load of the target component during the running of the fan specifically comprises the following steps: and acquiring a first load of the target component through a load strain sensor, or acquiring the displacement or deformation of the target component, and calculating the first load according to the displacement or deformation.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the blade zero drift detection method.
The invention also provides a computer readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for detecting blade zero drift as described above.
The positive progress effects of the invention are as follows: the invention can judge whether the blade of the fan has zero drift or not through the load of the target component, thereby avoiding the error caused by manual inspection and the influence on the normal operation of the fan on the one hand, and avoiding the additional cost caused by adding a video sensor in the hub or the blade on the other hand.
Drawings
Fig. 1 is a flowchart of a blade zero drift detection method according to embodiment 1 of the present invention.
Fig. 2 is a partial flowchart of a blade zero drift detection method according to embodiment 2 of the present invention.
Fig. 3 is a flowchart of an implementation manner of step 202 in embodiment 2 of the present invention.
FIG. 4 is a partial flowchart of a blade zero drift detection method according to embodiment 2 of the present invention.
Fig. 5 is a flowchart of a method for detecting blade zero drift in a specific scenario in embodiment 2.
FIG. 6 is a block diagram of a blade zero drift detection system according to embodiment 3 of the present invention.
FIG. 7 is a block diagram of a blade zero drift detection system according to embodiment 4 of the present invention.
Fig. 8 is a block diagram of an electronic device according to embodiment 5 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
The embodiment provides a blade zero drift detection method, as shown in fig. 1, the detection method includes:
And 102, when the difference value of the first load and the second load is larger than or equal to the deviation threshold value, determining that the blade has zero drift.
And the second load is the load of the target component acquired when the fan runs after the zero calibration is carried out on the blades of the fan.
The target component comprises at least one of a main shaft, a hub, a wind wheel and a blade, the first load of the target component can be measured in various ways, for example, the first load of the target component can be obtained through a load strain sensor, the displacement or deformation of the target component can also be measured through a distance or vibration sensor, and the first load can be calculated according to the displacement or deformation.
In a specific embodiment, step 101 is specifically to receive a load signal measured by a sensor, then extract a 1P frequency component in the signal and calculate a corresponding amplitude of the frequency component.
In step 102, the blade may be zeroed by a method in the prior art, which is not limited by the embodiment. It should be understood that the zero-corrected blade may be the blade of the fan in step 101, or the blade of another fan with the same model as the fan in step 101.
Similarly, in a specific embodiment, step 102 specifically receives the load signal of the blade after the zero calibration measured by the sensor, then extracts the 1P frequency component in the signal, and calculates the corresponding amplitude of the frequency component. In this embodiment, in order to facilitate obtaining the load signal of the blade after the zero calibration during the detection, after the zero calibration of the blade, the amplitude corresponding to the load signal obtained by the calculation may be further stored in the controller.
The blade of fan can be judged whether to take place zero drift through the load of target part to this embodiment, has avoided error and the influence to the fan normal operating that manual inspection brought on the one hand, and on the other hand has also avoided increasing the extra cost that video sensor brought in wheel hub or blade.
Example 2
The embodiment provides a blade zero drift detection method, and the embodiment is based on embodiment 1, as shown in fig. 2, the detection method further includes:
The deviation threshold value represents the deviation load of a target component of the fan when zero drift occurs and when zero drift does not occur;
and step 203, acquiring a deviation threshold value corresponding to the current wind speed from the first corresponding relation.
The deviation threshold compared in step 102 is the deviation threshold corresponding to the wind speed obtained in step 203.
In this embodiment, as shown in fig. 3, step 202 specifically includes:
2021, acquiring a third load of the target component when zero drift does not occur to the blade at different simulated wind speeds;
2022, acquiring a fourth load of the target component when the blade has zero drift at different simulated wind speeds;
Different modes can be adopted for simulation according to actual conditions, and the embodiment does not limit the simulation mode.
It should be understood that the same model of fan as the tested fan is simulated here.
In this embodiment, a deviation value of loads of a target component of a wind turbine corresponding to a blade with zero drift and a target component of a wind turbine corresponding to a blade without zero drift at each wind speed can be obtained in a simulation manner, during actual detection, a deviation value of a corresponding load can be obtained from simulation data based on the obtained current wind speed, and once a difference value between a first load and a second load of the target component actually measured exceeds the deviation value, it can be determined that the blade has zero drift.
In this embodiment, through the mode of emulation, can obtain the load of the target component under each wind speed, on the one hand, compare with the mode of actual measurement, saved time and cost, on the other hand, also promoted the accuracy of the data that acquire.
In this embodiment, a deviation threshold corresponding to the current wind speed may be obtained according to the current wind speed, and a more accurate zero drift condition of the blade may be detected by comparing the first load with the corresponding deviation threshold.
In this embodiment, in a specific implementation manner, the simulation process may further include: and when the blade of the simulated fan has zero drift, the load of the target component is in a second corresponding relation with the drift angle.
As shown in fig. 4, step 102 may further include:
and 103, determining the drift angle of the blade according to the second corresponding relation.
The embodiment can detect whether the blade has zero drift or not, can predict the drift angle based on simulation data, is favorable for detecting personnel to adjust the pitch angle of the blade in time, and improves the power generation efficiency of the fan.
The embodiment can measure and analyze the load of the target component by means of the sensor which is carried by the fan so as to judge the possible situation of zero drift of the blade. Compared with the prior art, the method does not need manual operation, avoids the influence on the running of the fan, and can reduce the cost to the maximum extent by means of the existing sensor. Meanwhile, according to the relation between the zero drift and the load, the magnitude of the zero drift can be estimated.
For a better understanding of the present embodiment, the following description is given by way of a specific example:
in this example, a spindle is selected as a target member, a point is provided on the spindle, and the detection point is detected by a strain sensor. In order to make the data measurement simpler and the calculation more convenient, the embodiment only acquires the load data in one direction, namely, only measures the load signal in the y-axis direction.
As shown in fig. 5, after the load signal is obtained by measurement, the amplitude a (t) of the 1P frequency component is extracted by performing frequency domain analysis on the load signal, and the difference between a (t) and | a (a) is determined by comparing a (t) with the amplitude a obtained from the main shaft load signal after zero calibration.
It should be understood that before the load signal is measured, the corresponding relation between the wind speed and the deviation threshold value and the corresponding relation between the load and the drift angle are obtained through simulation of the corresponding model of the detection fan, and the wind speed is measured at the same time during actual detection.
Depending on the wind speed, a deviation threshold δ corresponding to the wind speed can be extracted from the database, this threshold being related to the wind speed, δ being larger the higher the wind speed. And comparing the difference value of the absolute value A (t) -A with the size of a deviation threshold value delta corresponding to the current wind speed, and sending out a prompt of blade zero position drift when the deviation threshold value is exceeded.
Meanwhile, according to the simulation result, the corresponding relation between the load and the drift angle under the wind speed is shown in the following table:
| zero drift (deg) | 0 | 0.5 | 1 | 2 | 3 | 5 |
| 1P amplitude (kNm) | 142.57 | 346.9 | 556.5 | 987.3 | 1448.4 | 2407 |
When the zero drift is judged to occur, the drift amount of the blade zero position, namely the drift angle, can be estimated according to the corresponding relation in the table.
Example 3
The present embodiment provides a blade zero drift detection system, as shown in fig. 6, the detection system includes: the load obtaining module 301 is configured to obtain a first load of a target component during operation of a fan, and the blade detecting module 302 is configured to determine that zero drift occurs in a blade when a difference between the first load and a second load is greater than or equal to a deviation threshold, where the second load is a load of the target component obtained during operation of the fan after zero calibration is performed on the blade of the fan.
The target component comprises at least one of a main shaft, a hub, a wind wheel and a blade, the first load of the target component can be measured in various ways, for example, the first load of the target component can be obtained through a load strain sensor, the displacement or deformation of the target component can also be measured through a distance or vibration sensor, and the first load can be calculated according to the displacement or deformation.
In a specific embodiment, the load obtaining module 301 is specifically configured to receive a load signal measured by a sensor, extract a 1P frequency component in the signal, and calculate an amplitude corresponding to the frequency component.
In this embodiment, the blade may be zeroed by a method in the prior art, which is not limited in this embodiment. It should be understood that the zero-calibrated blade may be the blade of the fan corresponding to the signal acquired by the load acquisition module 301, or may be the blade of another fan of the same type as the fan corresponding to the signal acquired by the load acquisition module 301.
Similarly, in a specific embodiment, the blade detection module 302 is specifically configured to receive the load signal of the blade after the zero calibration measured by the sensor, then extract the 1P frequency component in the signal, and calculate the corresponding amplitude of the frequency component. In this embodiment, in order to facilitate obtaining a load signal of the blade after zero calibration during detection, the detection system may further include a load storage module 303, which is configured to obtain and store a second load of the target component during running of the wind turbine after zero calibration of the blade, and the load obtaining module 301 is further configured to invoke the load storage module 303.
Whether zero drift takes place for the blade of fan can be judged through load acquisition module 301 and blade detection module 302 to this embodiment, has avoided the error that manual inspection brought and the influence to fan normal operating on the one hand, and on the other hand has also avoided increasing the extra cost that video sensor brought in wheel hub or blade.
Example 4
The embodiment provides a detection system for blade zero drift, and based on embodiment 3, the detection system further includes a simulation data obtaining module 401, a wind speed obtaining module 402, and a threshold obtaining module 403.
The simulation data acquisition module 401 is configured to acquire a first corresponding relationship between a wind speed and a deviation threshold value when the simulated wind turbine runs, the deviation threshold value indicates a deviation load of a target component of the blade when zero drift occurs and when zero drift does not occur, the wind speed acquisition module 402 is configured to acquire a current wind speed, and the threshold value acquisition module 403 is configured to acquire the deviation threshold value corresponding to the current wind speed from the first corresponding relationship.
In this embodiment, as shown in fig. 7, the simulation data obtaining module 401 specifically includes a third load obtaining unit 4011, a fourth load obtaining unit 4012, and a corresponding relationship obtaining unit 4013;
the third load obtaining unit 4011 is configured to obtain a third load of the target component when the blade does not undergo zero drift at different simulated wind speeds;
the fourth load obtaining unit 4012 is configured to obtain a fourth load of the target component when the blade has zero drift at different wind speeds corresponding to the later simulation;
the corresponding relation obtaining unit 4013 is configured to obtain a first corresponding relation between the wind speed and the deviation threshold according to the wind speed and a difference between the corresponding third load and the corresponding fourth load.
It should be understood that the same model of fan as the tested fan is simulated here.
In this embodiment, through the mode of emulation, can simulate the load that obtains the target component under each wind speed, on the one hand, compare with the mode of actual measurement, saved time and cost, on the other hand, also promoted the accuracy of the data that acquire.
In this embodiment, a deviation threshold corresponding to the current wind speed may be obtained according to the current wind speed, and a more accurate zero drift condition of the blade may be detected by comparing the first load with the corresponding deviation threshold.
In a specific embodiment, the detection system may further include a drift angle determination module 407, the blade detection unit is further configured to invoke the drift angle determination module 407 after determining that the blade has undergone zero drift, and the drift angle determination module 407 is configured to determine the drift angle of the blade according to a second corresponding relationship between the load of the target component and the drift angle when the blade of the simulated wind turbine has undergone zero drift. And the second corresponding relation is the corresponding relation between the load of the target component and the drift angle when the blade of the simulated fan has zero drift.
The embodiment can detect whether the blade has zero drift or not, can predict the drift angle based on simulation data, is favorable for detecting personnel to adjust the pitch angle of the blade in time, and improves the power generation efficiency of the fan.
The embodiment can measure and analyze the load of the target component by means of the sensor which is carried by the fan so as to judge the possible situation of zero drift of the blade. Compared with the prior art, the method does not need manual operation, avoids the influence on the running of the fan, and can reduce the cost to the maximum extent by means of the existing sensor. Meanwhile, according to the relation between the zero drift and the load, the magnitude of the zero drift can be estimated.
For a better understanding of the present embodiment, the following description is given by way of a specific example:
in this example, a spindle is selected as a target member, a point is provided on the spindle, and the detection point is detected by a strain sensor. In order to make the data measurement simpler and the calculation more convenient, the embodiment only acquires the load data in one direction, namely, only measures the load signal in the y-axis direction.
As shown in fig. 5, after the load signal is obtained by measurement, the amplitude a (t) of the 1P frequency component is extracted by performing frequency domain analysis on the load signal, and the difference between a (t) and | a (a) is determined by comparing a (t) with the amplitude a obtained from the main shaft load signal after zero calibration.
It should be understood that before the load signal is measured, the corresponding relation between the wind speed and the deviation threshold value and the corresponding relation between the load and the drift angle are obtained through simulation of the corresponding model of the detection fan, and the wind speed is measured at the same time during actual detection.
Depending on the wind speed, a deviation threshold δ corresponding to the wind speed can be extracted from the database, this threshold being related to the wind speed, δ being larger the higher the wind speed. And comparing the difference value of the absolute value A (t) -A with the size of a deviation threshold value delta corresponding to the current wind speed, and sending out a prompt of blade zero position drift when the deviation threshold value is exceeded.
Meanwhile, according to the simulation result, the corresponding relation between the load and the drift angle under the wind speed is shown in the following table:
| zero drift (deg) | 0 | 0.5 | 1 | 2 | 3 | 5 |
| 1P amplitude (kNm) | 142.57 | 346.9 | 556.5 | 987.3 | 1448.4 | 2407 |
When the zero drift is judged to occur, the drift amount of the blade zero position, namely the drift angle, can be estimated according to the corresponding relation in the table.
Example 5
The present embodiment provides an electronic device, which may be represented in the form of a computing device (for example, may be a server device), including a memory, a processor, and a computer program stored in the memory and running on the processor, where the processor executes the computer program to implement the blade zero drift detection method of embodiment 1 or embodiment 2.
Fig. 8 shows a schematic diagram of a hardware structure of the present embodiment, and as shown in fig. 8, the electronic device 9 specifically includes:
at least one processor 91, at least one memory 92, and a bus 93 for connecting the various system components (including the processor 91 and the memory 92), wherein:
the bus 93 includes a data bus, an address bus, and a control bus.
The processor 91 executes a computer program stored in the memory 92 to execute various functional applications and data processing, such as the blade zero drift detection method of embodiment 1 or embodiment 2 of the present invention.
The electronic device 9 may further communicate with one or more external devices 94 (e.g., a keyboard, a pointing device, etc.). Such communication may be through an input/output (I/O) interface 95. Also, the electronic device 9 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 96. The network adapter 96 communicates with the other modules of the electronic device 9 via the bus 93. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 9, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module, according to embodiments of the application. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 6
The present embodiment provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor implements the blade zero drift detection method of embodiment 1 or embodiment 2. The step (2).
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation, the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to perform a method of detecting blade zero drift implementing embodiment 1 or embodiment 2, when said program product is run on said terminal device. The step (2).
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (12)
1. A blade zero drift detection method is characterized by comprising the following steps:
acquiring a first load of a target component when a fan runs;
and when the difference value of the first load and a second load is larger than or equal to a deviation threshold value, determining that zero drift occurs in the blade, wherein the second load is the load of the target component obtained when the fan runs after zero calibration is performed on the blade of the fan.
2. The method for detecting blade zero drift of claim 1, wherein said step of determining that said blade has zero drift further comprises:
after the blade is zero-calibrated, acquiring a second load of the target component when the fan runs;
storing the second load.
3. The method for detecting blade zero drift of claim 1, wherein said step of determining that said blade has zero drift further comprises:
acquiring a first corresponding relation between the simulated running wind speed of the fan and a deviation threshold value, wherein the deviation threshold value represents the deviation load of a target component of the fan when the blade has zero drift and when the blade does not have zero drift;
acquiring a current wind speed;
and acquiring a deviation threshold value corresponding to the current wind speed from the first corresponding relation.
4. The method according to claim 3, wherein the step of obtaining the first corresponding relationship between the simulated wind speed and the deviation threshold value during the operation of the wind turbine specifically comprises:
acquiring a third load of the target component when the blade does not have zero drift at different simulated wind speeds;
acquiring a fourth load of the target component when the blade has zero drift at different simulated wind speeds;
and acquiring a first corresponding relation between the wind speed and a deviation threshold according to the wind speed and the difference value between the corresponding third load and the corresponding fourth load.
5. The method for detecting blade zero drift of claim 1, wherein said step of determining that said blade has zero drift further comprises: determining the drift angle of the blade according to a second corresponding relation between the load of the target component and the drift angle when the blade of the simulated fan has zero drift; and/or the presence of a gas in the gas,
the target component comprises at least one of a main shaft, a hub, a wind wheel and a blade; and/or the presence of a gas in the gas,
the step of acquiring the first load of the target component during the running of the fan specifically comprises the following steps: and acquiring a first load of the target component through a load strain sensor, or acquiring the displacement or deformation of the target component, and calculating the first load according to the displacement or deformation.
6. A blade null shift detection system, comprising: the system comprises a load acquisition module and a blade detection module;
the load obtaining module is used for obtaining a first load of a target component when the fan runs;
the blade detection module is used for determining that zero drift occurs to the blade when a difference value between the first load and a second load is larger than or equal to a deviation threshold value, wherein the second load is the load of the target component acquired when the fan runs after zero calibration is performed on the blade of the fan.
7. The blade zero drift detection system of claim 6, further comprising a load storage module configured to obtain and store a second load of the target component during operation of the wind turbine after the blade is zeroed, wherein the load obtaining module is further configured to invoke the load storage module.
8. The system of claim 6, further comprising a simulation data acquisition module, a wind speed acquisition module, and a threshold acquisition module;
the simulation data acquisition module is used for acquiring a first corresponding relation between the wind speed and a deviation threshold value when the simulated fan runs, wherein the deviation threshold value represents the deviation load of a target component of the blade when the blade has zero drift and when the blade does not have zero drift;
the wind speed acquisition module is used for acquiring the current wind speed;
the threshold value obtaining module is used for obtaining a deviation threshold value corresponding to the current wind speed from the first corresponding relation.
9. The blade zero drift detection system according to claim 8, wherein the simulation data acquisition module specifically includes a third load acquisition unit, a fourth load acquisition unit and a corresponding relationship acquisition unit;
the third load obtaining unit is used for obtaining a third load of the target component when the blade does not have zero drift under different simulated wind speeds;
the fourth load obtaining unit is used for obtaining a fourth load of the target component when the blade has zero drift at different simulated wind speeds;
the corresponding relation obtaining unit is used for obtaining a first corresponding relation between the wind speed and a deviation threshold value according to the wind speed and a difference value between the corresponding third load and the corresponding fourth load.
10. The blade zero drift detection system of claim 6, further comprising a drift angle determination module, wherein the blade detection unit is further configured to invoke the drift angle determination module after determining that the blade has undergone zero drift, and wherein the drift angle determination module is configured to determine the drift angle of the blade according to a second corresponding relationship between the load and the drift angle of the target component when the blade of the simulated wind turbine has undergone zero drift; and/or the presence of a gas in the gas,
the target component comprises at least one of a main shaft, a hub, a wind wheel and a blade; and/or the presence of a gas in the gas,
the step of acquiring the first load of the target component during the running of the fan specifically comprises the following steps: and acquiring a first load of the target component through a load strain sensor, or acquiring the displacement or deformation of the target component, and calculating the first load according to the displacement or deformation.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for detecting blade zero drift of any one of claims 1 to 5 when executing the computer program.
12. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for blade zero drift detection according to any one of claims 1 to 5.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101022082A (en) * | 2006-12-06 | 2007-08-22 | 上海合晶硅材料有限公司 | Method for controlling thickness of silicon single crystal cutting abrasive disc residual damage layer |
| CN101592469A (en) * | 2009-07-08 | 2009-12-02 | 中电电气（南京）光伏有限公司 | Silicon chip of solar cell damage layer thickness and minority carrier life time measuring method and device |
| CN104019000A (en) * | 2014-06-23 | 2014-09-03 | 宁夏银星能源股份有限公司 | Load spectrum determination and proactive maintenance system of wind generating set |
| CN108592812A (en) * | 2018-05-10 | 2018-09-28 | 电子科技大学 | Fan blade optical fiber load strain characteristics extract and crack monitoring method |
| CN110047771A (en) * | 2019-03-07 | 2019-07-23 | 东方环晟光伏（江苏）有限公司 | The test method of monocrystalline silicon piece cutting damage thickness degree is obtained based on multiple weighing |
| CN110057334A (en) * | 2019-03-07 | 2019-07-26 | 东方环晟光伏（江苏）有限公司 | The test method of monocrystalline silicon piece cutting damage thickness degree is obtained based on lasting weighing |
| CN111859679A (en) * | 2020-07-24 | 2020-10-30 | 国电联合动力技术有限公司 | Wind turbine generator test load obtaining method, simulation load comparing method and simulation load comparing device |
| CN112610412A (en) * | 2020-12-23 | 2021-04-06 | 山东中车风电有限公司 | Wind turbine generator blade clearance control method based on load detection |
| CN113113286A (en) * | 2021-03-22 | 2021-07-13 | 上海中欣晶圆半导体科技有限公司 | Simple determination method for depth of damaged layer of semiconductor chip grinding sheet |
-
2021
- 2021-06-01 CN CN202110608362.9A patent/CN113340262B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101022082A (en) * | 2006-12-06 | 2007-08-22 | 上海合晶硅材料有限公司 | Method for controlling thickness of silicon single crystal cutting abrasive disc residual damage layer |
| CN101592469A (en) * | 2009-07-08 | 2009-12-02 | 中电电气（南京）光伏有限公司 | Silicon chip of solar cell damage layer thickness and minority carrier life time measuring method and device |
| CN104019000A (en) * | 2014-06-23 | 2014-09-03 | 宁夏银星能源股份有限公司 | Load spectrum determination and proactive maintenance system of wind generating set |
| CN108592812A (en) * | 2018-05-10 | 2018-09-28 | 电子科技大学 | Fan blade optical fiber load strain characteristics extract and crack monitoring method |
| CN110047771A (en) * | 2019-03-07 | 2019-07-23 | 东方环晟光伏（江苏）有限公司 | The test method of monocrystalline silicon piece cutting damage thickness degree is obtained based on multiple weighing |
| CN110057334A (en) * | 2019-03-07 | 2019-07-26 | 东方环晟光伏（江苏）有限公司 | The test method of monocrystalline silicon piece cutting damage thickness degree is obtained based on lasting weighing |
| CN111859679A (en) * | 2020-07-24 | 2020-10-30 | 国电联合动力技术有限公司 | Wind turbine generator test load obtaining method, simulation load comparing method and simulation load comparing device |
| CN112610412A (en) * | 2020-12-23 | 2021-04-06 | 山东中车风电有限公司 | Wind turbine generator blade clearance control method based on load detection |
| CN113113286A (en) * | 2021-03-22 | 2021-07-13 | 上海中欣晶圆半导体科技有限公司 | Simple determination method for depth of damaged layer of semiconductor chip grinding sheet |
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