CN117869212A - Millimeter-level three-dimensional scanning system of wind generating set - Google Patents
Millimeter-level three-dimensional scanning system of wind generating set Download PDFInfo
- Publication number
- CN117869212A CN117869212A CN202311834803.2A CN202311834803A CN117869212A CN 117869212 A CN117869212 A CN 117869212A CN 202311834803 A CN202311834803 A CN 202311834803A CN 117869212 A CN117869212 A CN 117869212A
- Authority
- CN
- China
- Prior art keywords
- generating set
- scanning
- wind generating
- dimensional
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000000034 method Methods 0.000 claims abstract description 15
- 238000013461 design Methods 0.000 claims abstract description 14
- 238000003745 diagnosis Methods 0.000 claims abstract description 13
- 238000011156 evaluation Methods 0.000 claims abstract description 12
- 238000004891 communication Methods 0.000 claims description 19
- 238000001514 detection method Methods 0.000 claims description 16
- 230000004927 fusion Effects 0.000 claims description 10
- 230000007613 environmental effect Effects 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 8
- 238000004140 cleaning Methods 0.000 claims description 7
- 230000008901 benefit Effects 0.000 claims description 6
- 238000013135 deep learning Methods 0.000 claims description 6
- 238000010801 machine learning Methods 0.000 claims description 6
- 238000013144 data compression Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 claims description 5
- 230000009471 action Effects 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 4
- 239000013307 optical fiber Substances 0.000 claims description 4
- 230000011218 segmentation Effects 0.000 claims description 4
- 238000013519 translation Methods 0.000 claims description 4
- 230000001427 coherent effect Effects 0.000 claims description 3
- 238000007906 compression Methods 0.000 claims description 3
- 230000006835 compression Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 16
- 238000010248 power generation Methods 0.000 abstract description 9
- 230000008569 process Effects 0.000 abstract description 7
- 238000011161 development Methods 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 230000009466 transformation Effects 0.000 description 11
- 238000005457 optimization Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000010191 image analysis Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 230000000007 visual effect Effects 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 2
- 238000004445 quantitative analysis Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000007847 structural defect Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D13/00—Assembly, mounting or commissioning of wind motors; Arrangements specially adapted for transporting wind motor components
- F03D13/20—Arrangements for mounting or supporting wind motors; Masts or towers for wind motors
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D9/00—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
- F03D9/20—Wind motors characterised by the driven apparatus
- F03D9/25—Wind motors characterised by the driven apparatus the apparatus being an electrical generator
Landscapes
- 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)
- Power Engineering (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses a millimeter-scale three-dimensional scanning system of a wind generating set, which can perform high-precision, high-efficiency and omnibearing three-dimensional scanning on blades, towers and cabins of the wind generating set, acquire three-dimensional data, process and analyze the data to generate a three-dimensional model of the wind generating set, and support the application of performance evaluation, fault diagnosis, optimal design and the like. The system solves the technical problems of high three-dimensional scanning difficulty, low efficiency, poor precision, poor data quality, narrow application range and the like of the wind generating set in the prior art. The system comprises a laser radar, a scanning controller, a data processor and other components, and realizes millimeter-level three-dimensional scanning and data processing of the wind generating set through an intelligent scanning control algorithm and a data processing algorithm. The system has the following beneficial effects: the operation efficiency and the reliability of the wind generating set are improved, the maintenance cost and the risk are reduced, and the development of wind power generation is promoted.
Description
Technical Field
The invention relates to the technical field of three-dimensional scanning and data processing of wind generating sets, in particular to a millimeter-scale three-dimensional scanning system of a wind generating set.
Background
Wind power generation is a renewable energy technology for converting wind energy into electric energy, and has the advantages of cleanness, environmental protection, sustainability and the like. The wind generating set is core equipment of wind power generation, and the main components of the wind generating set comprise blades, a tower barrel, a cabin and the like. The performance and the service life of the wind generating set are closely related to the structure and the state of the wind generating set, so that the wind generating set is detected and maintained regularly, and the wind generating set is an important measure for ensuring the safe, stable and efficient operation of the wind generating set.
At present, the wind generating set is mainly detected and maintained manually or in an unmanned aerial vehicle mode, the appearance of the wind generating set is observed and shot through visual or camera, and then the state and faults of the wind generating set are judged according to experience or image analysis. However, the process is not limited to the above-described process, this approach has the following disadvantages:
the detection and maintenance efficiency of the manual or unmanned aerial vehicle is low, the time consumption is long, the cost is high, the risk is large, the influence by the environment and human factors is large, and the quality and the accuracy of the detection and the maintenance are difficult to ensure.
The detection and maintenance precision of the visual or camera is poor, only the surface information of the wind generating set can be obtained, the internal structure and state information of the wind generating set can not be obtained, and the potential faults and hidden dangers of the wind generating set are difficult to find.
The detection and maintenance difficulty of the image analysis is high, a large amount of image data and a complex image processing algorithm are needed, three-dimensional modeling and quantitative analysis of the wind generating set are difficult to realize, and applications such as performance evaluation, fault diagnosis, optimization design and the like of the wind generating set are difficult to support.
Therefore, aiming at the defects of the prior art, the invention provides a millimeter-level three-dimensional scanning system of a wind generating set, which can perform high-precision, high-efficiency and omnibearing three-dimensional scanning on blades, towers and cabins of the wind generating set, acquire three-dimensional data, process and analyze the data, generate a three-dimensional model of the wind generating set, and support applications such as performance evaluation, fault diagnosis, optimal design and the like.
Disclosure of Invention
In order to solve the problems in the prior art, the invention aims to provide a millimeter-level three-dimensional scanning system of a wind generating set, which can perform high-precision, high-efficiency and omnibearing three-dimensional scanning on blades, towers and cabins of the wind generating set, acquire three-dimensional data, process and analyze the data to generate a three-dimensional model of the wind generating set, and support applications such as performance evaluation, fault diagnosis, optimal design and the like.
In order to achieve the technical purpose and the technical effect, the invention is realized by the following technical scheme:
a millimeter-scale three-dimensional scanning system of a wind generating set, comprising the following components:
laser radar: the device is used for carrying out millimeter-level three-dimensional scanning on blades, tower drums and cabins of the wind generating set and collecting three-dimensional data; the laser radar works based on a pulse coherent detection principle, emits a short pulse laser beam, receives a reflected signal of the surface of a target, calculates the distance and the azimuth of the target according to the flight time and the phase difference, and acquires the three-dimensional coordinate of the target;
### For taking charge of implementing intelligence a scan control algorithm; the controller dynamically adjusts scanning parameters of the laser radar according to the running state and environmental conditions of the wind generating set, including wind speed, wind direction, temperature, humidity, air pressure, blade rotation speed, blade angle and cabin angle, so as to realize efficient scanning; the scanning controller calculates optimal scanning parameters including scanning angle, scanning frequency and scanning resolution, and controls the scanning action of the laser radar through a communication interface; the controller also receives scanning feedback of the laser radar and monitors the scanning progress and quality;
a data processor: the method is used for processing and analyzing three-dimensional data acquired by the laser radar, generating a three-dimensional model of the wind generating set, and supporting performance evaluation, fault diagnosis and optimal design; the data processor executes data cleaning, data calibration, data fusion and data compression operations so as to improve the quality and the processing efficiency of data; generating a three-dimensional model of the wind generating set by utilizing three-dimensional reconstruction, three-dimensional registration, three-dimensional segmentation and three-dimensional feature extraction algorithms, and obtaining the geometric shape, the size and the surface state of the model; in addition, the data processor uses finite element analysis, machine learning and deep learning techniques to perform performance evaluation, fault diagnosis and optimization design.
Further, the laser radar is arranged on the blade of the wind generating set, and the omnidirectional scanning of the wind generating set is realized by utilizing the rotation of the blade.
Furthermore, the laser radar is arranged on a tower barrel of the wind generating set, and the omnidirectional scanning of the wind generating set is realized by utilizing the height advantage of the tower barrel.
Furthermore, the laser radar is arranged on an independent platform near the wind generating set, and the omnibearing scanning of the wind generating set is realized by utilizing the flexibility of the platform.
Further, the technical parameters of the laser radar are as follows: the wavelength is 1550 nanometers, the power is 1 watt, the pulse width is 10 nanoseconds, the repetition frequency is 10 kilohertz, the divergence angle is 0.5 milliradian, the scanning angle is 360 degrees, the scanning frequency is 10 hertz, the scanning resolution is 0.01 degree, the measuring range is 100 meters, and the measuring precision is 1 millimeter.
Further, the scanning controller comprises a wind speed sensor, a wind direction sensor, a temperature sensor, a humidity sensor, an air pressure sensor, a blade rotating speed sensor, a blade angle sensor and a cabin angle sensor.
Further, the communication interface of the scanning controller comprises a wireless communication interface, a wired communication interface and an optical fiber communication interface.
Further, the data cleaning operation of the data processor includes removing noise, outliers, redundant data.
Further, the data calibration operation of the data processor includes coordinate system conversion, scale conversion, rotation conversion, translation conversion.
Further, the data fusion operation of the data processor comprises point cloud registration, point cloud fusion and point cloud compression.
The beneficial effects of the invention are as follows:
the system can perform high-precision, high-efficiency and omnibearing three-dimensional scanning on the blades, the tower and the engine room of the wind generating set, acquire three-dimensional data, improve the quality and accuracy of detection and maintenance compared with the detection and maintenance modes of manual or unmanned aerial vehicle, reduce the time and cost of detection and maintenance and reduce the risk and interference of detection and maintenance.
The system can process and analyze three-dimensional data acquired by the laser radar to generate a three-dimensional model of the wind generating set, and compared with a visual or camera detection and maintenance mode, the system improves the detection and maintenance precision and depth, can acquire the internal structure and state information of the wind generating set, and can find potential faults and hidden hazards of the wind generating set.
Compared with the detection and maintenance modes of image analysis, the system improves the difficulty and the range of detection and maintenance, can realize three-dimensional modeling and quantitative analysis of the wind generating set, and can support the improvement of the operation efficiency and the reliability of the wind generating set.
Drawings
In order to more clearly illustrate the technical solution in the embodiments of the present invention, the drawings that accompany the description can be briefly described as follows, and in turn, can be readily understood, the drawings in the following description are only examples of embodiments of the present invention and other drawings may be made from these drawings by those of ordinary skill in the art without undue burden.
FIG. 1 is a schematic block diagram of a millimeter three-dimensional scanning system of a wind turbine generator system according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
The invention provides a millimeter-scale three-dimensional scanning system of a wind generating set, which can perform high-precision, high-efficiency and omnibearing three-dimensional scanning on blades, towers and cabins of the wind generating set, acquire three-dimensional data, process and analyze the data to generate a three-dimensional model of the wind generating set, and support the application of performance evaluation, fault diagnosis, optimal design and the like, as shown in fig. 1. The system solves the technical problems of high three-dimensional scanning difficulty, low efficiency, poor precision, poor data quality, narrow application range and the like of the wind generating set in the prior art.
Specifically, the millimeter-level three-dimensional scanning system of the wind generating set comprises the following components:
the laser radar is used for performing millimeter-level three-dimensional scanning on blades, towers and cabins of the wind generating set and collecting three-dimensional data. The laser radar works based on a pulse coherent detection principle, emits a short pulse laser beam, receives a reflected signal of the surface of a target, calculates the distance and the azimuth of the target according to the flight time and the phase difference, and acquires the three-dimensional coordinate of the target. The technical parameters of the laser radar are as follows: the wavelength is 1550 nanometers, the power is 1 watt, the pulse width is 10 nanoseconds, the repetition frequency is 10 kilohertz, the divergence angle is 0.5 milliradian, the scanning angle is 360 degrees, the scanning frequency is 10 hertz, the scanning resolution is 0.01 degree, the measuring range is 100 meters, and the measuring precision is 1 millimeter. The laser radar can be arranged on the blades of the wind generating set, and the omnidirectional scanning of the wind generating set is realized by utilizing the rotation of the blades; the device can also be arranged on a tower of the wind generating set, and the omnibearing scanning of the wind generating set is realized by utilizing the height advantage of the tower; or the scanning device is arranged on an independent platform near the wind generating set, and the omnibearing scanning of the wind generating set is realized by utilizing the flexibility of the platform.
And the scanning controller is used for being responsible for implementing the intelligent scanning control algorithm. The scanning controller dynamically adjusts scanning parameters of the laser radar according to the running state and environmental conditions of the wind generating set, including but not limited to wind speed, wind direction, temperature, humidity, air pressure, blade rotation speed, blade angle and cabin angle, so as to realize efficient scanning. The scan controller calculates the optimal scan parameters, including scan angle, scan frequency, scan resolution, and controls the scanning action of the laser radar through the communication interface. The controller also receives scanning feedback of the laser radar and monitors scanning progress and quality. The scanning controller comprises a wind speed sensor, a wind direction sensor, a temperature sensor, a humidity sensor, an air pressure sensor, a blade rotating speed sensor, a blade angle sensor and a cabin angle sensor and is used for collecting the running state and the environmental condition of the wind generating set. The communication interface of the scanning controller comprises a wireless communication interface, a wired communication interface and an optical fiber communication interface, and is used for carrying out data exchange with the laser radar and the data processor.
A data processor for processing and analyzing the three-dimensional data acquired by the laser radar, and generating a three-dimensional model of the wind generating set, and supporting applications such as performance evaluation, fault diagnosis, optimal design and the like. The data processor performs data cleaning, data calibration, data fusion and data compression operations to improve the quality and processing efficiency of data. Among other things, the data cleansing operation includes removing noise, outliers, redundant data, etc., that affect the quality of the data. The data calibration operation includes operations of performing geometric transformation on the data, such as coordinate system transformation, scale transformation, rotation transformation, translation transformation and the like, so as to eliminate errors and deviations of the data. The data fusion operation comprises the operations of integrating and optimizing data such as point cloud registration, point cloud fusion, point cloud compression and the like so as to improve the integrity and the density of the data. The data processor generates a three-dimensional model of the wind generating set by utilizing algorithms such as three-dimensional reconstruction, three-dimensional registration, three-dimensional segmentation, three-dimensional feature extraction and the like, and acquires information such as geometric shapes, sizes, surface states and the like of the model. In addition, the data processor uses finite element analysis, machine learning, deep learning and other technologies to perform performance evaluation, fault diagnosis, optimal design and other applications so as to improve the operation efficiency and reliability of the wind generating set.
Application instance
The following is an application example based on practical conditions, which is used for explaining the working principle and the application effect of the millimeter-level three-dimensional scanning system of the wind generating set. For reference, the application example may need to be modified and optimized according to specific hardware and software environments in practical application.
A wind generating set is preset, the length of a blade of the wind generating set is 40 meters, the height of a tower barrel is 80 meters, the weight of a cabin is 20 tons, and the wind generating set is positioned in a wind power generating field near a coastline. The running state and the environmental conditions of the wind generating set are as follows:
wind speed: 10 m/s
Wind direction: southeast
Temperature: 25 degrees centigrade
Humidity: 60 percent of
Air pressure: 101325 Pascal
Blade rotation speed: 15 revolutions per minute
Blade angle: 10 degrees
Nacelle angle: 45 degrees
In order to perform millimeter-level three-dimensional scanning and data processing on the wind generating set, the millimeter-level three-dimensional scanning system of the wind generating set is used; the system comprises a laser radar, a scanning controller, a data processor and other components, and realizes millimeter-level three-dimensional scanning and data processing of the wind generating set through an intelligent scanning control algorithm and a data processing algorithm. The method comprises the following specific steps:
firstly, a laser radar is installed on a tower barrel of a wind generating set, and the omnidirectional scanning of the wind generating set is realized by utilizing the height advantage of the tower barrel. The technical parameters of the laser radar are as follows: the wavelength is 1550 nanometers, the power is 1 watt, the pulse width is 10 nanoseconds, the repetition frequency is 10 kilohertz, the divergence angle is 0.5 milliradian, the scanning angle is 360 degrees, the scanning frequency is 10 hertz, the scanning resolution is 0.01 degree, the measuring range is 100 meters, and the measuring precision is 1 millimeter.
Then, the scanning controller is arranged in a cabin of the wind generating set, and intelligent scanning control of the wind generating set is realized by utilizing the stability of the cabin. The scanning controller comprises a wind speed sensor, a wind direction sensor, a temperature sensor, a humidity sensor, an air pressure sensor, a blade rotating speed sensor, a blade angle sensor and a cabin angle sensor and is used for collecting the running state and the environmental condition of the wind generating set. The communication interface of the scanning controller comprises a wireless communication interface, a wired communication interface and an optical fiber communication interface, and is used for carrying out data exchange with the laser radar and the data processor.
And then, the data processor is arranged on an independent platform near the wind generating set, and the data processing and analysis of the wind generating set are realized by utilizing the flexibility of the platform. Technical parameters of the data processor include a data cleaning threshold, a data calibration parameter, a data compression ratio and the like.
Then, starting a main program of the millimeter-level three-dimensional scanning system of the wind generating set, wherein the function of the program is to circularly scan until the ending condition is met; the method comprises the following specific steps:
scan parameters including scan angle, scan frequency, scan resolution, etc. are initialized.
The scan data is initialized to a null array.
And circularly scanning until the end condition is met, wherein the method comprises the following specific steps of:
and calling a scanning control algorithm to obtain optimal scanning parameters. According to the running state and the environmental condition of the wind generating set, the scanning parameters of the laser radar are dynamically adjusted so as to realize efficient scanning. For example, an optimal scanning angle is calculated according to the wind speed and the wind direction, so that the scanning direction of the laser radar is consistent with the wind direction; calculating optimal scanning frequency according to the factors such as temperature, humidity, air pressure, blade rotating speed, blade angle, cabin angle and the like, so that the scanning frequency of the laser radar is matched with the running state and the environmental condition of the wind generating set; and calculating optimal scanning resolution according to the wind speed and the wind direction, so that the scanning resolution of the laser radar is matched with the variation degree of the wind speed and the wind direction.
And sending scanning parameters to the laser radar, and controlling the scanning action of the laser radar. The laser radar emits a short pulse laser beam according to the scanning parameters, receives a reflected signal of the surface of the target, calculates the distance and the azimuth of the target according to the flight time and the phase difference, and acquires the three-dimensional coordinate of the target.
Scan data is received from the lidar and added to the scan data array. The scan data is a three-dimensional point cloud, each point containing three coordinate values representing the position of the point in space.
And calling a data processing algorithm, processing the scanning data, and generating a three-dimensional model of the wind generating set. The data processing algorithm executes operations such as data cleaning, data calibration, data fusion, data compression and the like so as to improve the quality and the processing efficiency of data. For example, using a median filter to remove noise, negative and zero values, duplicate data; performing geometric transformations such as coordinate system transformation, scale transformation, rotation transformation, translation transformation and the like on the data by using the data calibration parameters so as to eliminate errors and deviations of the data; registering the data by using a point cloud registration algorithm, fusing the data by using a mean value method, and compressing the data by using a downsampling method. The data processing algorithm generates a three-dimensional model of the wind generating set by utilizing algorithms such as three-dimensional reconstruction, three-dimensional registration, three-dimensional segmentation, three-dimensional feature extraction and the like, and acquires information such as geometric shapes, sizes, surface states and the like of the model.
The data processor uses finite element analysis, machine learning, deep learning and other technologies to perform performance evaluation, fault diagnosis, optimization design and other applications. For example, finite element analysis is used for carrying out stress, strain, vibration, fatigue and other analysis on blades, towers and cabins of the wind generating set, and the structural strength, rigidity, stability and other performance indexes of the wind generating set are evaluated; using machine learning to classify, cluster, regress, predict and the like the operation data of the wind generating set, and diagnosing whether the wind generating set has information such as faults, fault types, fault reasons, fault positions and the like; generating a three-dimensional model of the wind generating set by using deep learning the operations such as transformation, optimization and the like, the wind generating set is designed to be more efficient, more reliable and more attractive.
The application effect is as follows:
by using the millimeter-scale three-dimensional scanning system of the wind generating set, the operation efficiency and the reliability of the wind generating set can be improved, three-dimensional data are collected by carrying out high-precision, high-efficiency and omnibearing three-dimensional scanning on blades, towers and cabins of the wind generating set, the three-dimensional data are processed and analyzed, a three-dimensional model of the wind generating set is generated, information such as geometric shape, size and surface state of the three-dimensional model is obtained, the performance of the wind generating set can be evaluated, and the problems such as structural defects, surface damage and material fatigue of the wind generating set can be found and solved, so that the operation efficiency and the reliability of the wind generating set are improved.
The invention can reduce maintenance cost and risk, can realize remote monitoring and intelligent diagnosis of the wind generating set through three-dimensional scanning and data processing of the wind generating set, reduce the times and time of manual detection and maintenance, reduce the consumption of manpower and material resources, and simultaneously reduce the safety risk of personnel, thereby reducing maintenance cost and risk.
The invention can promote the development of wind power generation, can realize the optimal design of the wind power generation set through three-dimensional scanning and data processing of the wind power generation set, and optimizes the structure, the material, the shape and the like of the wind power generation set by utilizing technologies such as finite element analysis, machine learning, deep learning and the like, so as to design the wind power generation set with higher efficiency, higher reliability and more attractive appearance, thereby promoting the development of wind power generation.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all modifications and equivalents made by the present invention and the accompanying drawings, or direct or indirect application in other related arts, are included in the scope of the present invention.
Claims (10)
1. The millimeter-level three-dimensional scanning system of the wind generating set is characterized by comprising the following components:
the laser radar is used for performing millimeter-level three-dimensional scanning on blades, tower drums and cabins of the wind generating set and collecting three-dimensional data; the laser radar works based on a pulse coherent detection principle, emits a short pulse laser beam, receives a reflected signal of the surface of a target, calculates the distance and the azimuth of the target according to the flight time and the phase difference, and acquires the three-dimensional coordinate of the target;
the scanning controller is used for being responsible for implementing an intelligent scanning control algorithm; the scan controller is configured to control the operation of the wind turbine generator system based on the operating conditions and environmental conditions, the method comprises the steps of dynamically adjusting scanning parameters of a laser radar to realize efficient scanning, wherein the scanning parameters comprise wind speed, wind direction, temperature, humidity, air pressure, blade rotating speed, blade angle and cabin angle; the scan controller calculates optimal scan parameters including scan angle, scan frequency, scan resolution, the scanning action of the laser radar is controlled through the communication interface; the controller also receives scanning feedback of the laser radar and monitors the scanning progress and quality;
the data processor is used for processing and analyzing the three-dimensional data acquired by the laser radar, generating a three-dimensional model of the wind generating set and supporting performance evaluation, fault diagnosis and optimal design; the data processor executes data cleaning, data calibration, data fusion and data compression operations so as to improve the quality and the processing efficiency of data; generating a three-dimensional model of the wind generating set by utilizing three-dimensional reconstruction, three-dimensional registration, three-dimensional segmentation and three-dimensional feature extraction algorithms, and obtaining the geometric shape, the size and the surface state of the model; the data processor can also use finite element analysis, machine learning and deep learning technologies to perform performance evaluation, fault diagnosis and optimal design.
2. The millimeter-scale three-dimensional scanning system of a wind generating set according to claim 1, wherein the laser radar is installed on a blade of the wind generating set, and the omnidirectional scanning of the wind generating set is realized by using the rotation of the blade.
3. The millimeter-scale three-dimensional scanning system of the wind generating set according to claim 1, wherein the laser radar is arranged on a tower of the wind generating set, and the omnidirectional scanning of the wind generating set is realized by utilizing the height advantage of the tower.
4. The millimeter-scale three-dimensional scanning system of a wind generating set according to claim 1, wherein the laser radar is installed on an independent platform near the wind generating set, and the omnidirectional scanning of the wind generating set is realized by utilizing the flexibility of the platform.
5. The millimeter-scale three-dimensional scanning system of the wind generating set according to claim 1, wherein the technical parameters of the laser radar are as follows: the wavelength is 1550 nanometers, the power is 1 watt, the pulse width is 10 nanoseconds, the repetition frequency is 10 kilohertz, the divergence angle is 0.5 milliradian, the scanning angle is 360 degrees, the scanning frequency is 10 hertz, the scanning resolution is 0.01 degree, the measuring range is 100 meters, and the measuring precision is 1 millimeter.
6. The wind generating set millimeter three-dimensional scanning system of claim 1, wherein said scanning controller comprises a wind speed sensor, a wind direction sensor, a temperature sensor, a humidity sensor, a barometric pressure sensor, a blade rotation speed sensor, a blade angle sensor, a nacelle angle sensor.
7. The wind turbine generator system millimeter-scale three-dimensional scanning system of claim 1, wherein the communication interface of the scanning controller comprises a wireless communication interface, a wired communication interface, and an optical fiber communication interface.
8. The wind turbine generator system millimeter three-dimensional scanning system of claim 1, wherein the data cleaning operation of the data processor comprises removing noise, outliers, redundant data.
9. The wind turbine millimeter three-dimensional scanning system of claim 1, wherein the data calibration operation of the data processor comprises coordinate system conversion, scale conversion, rotation conversion, translation conversion.
10. The wind turbine generator system millimeter three-dimensional scanning system of claim 1, wherein the data fusion operation of the data processor comprises point cloud registration, point cloud fusion, and point cloud compression.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311834803.2A CN117869212A (en) | 2023-12-28 | 2023-12-28 | Millimeter-level three-dimensional scanning system of wind generating set |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311834803.2A CN117869212A (en) | 2023-12-28 | 2023-12-28 | Millimeter-level three-dimensional scanning system of wind generating set |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117869212A true CN117869212A (en) | 2024-04-12 |
Family
ID=90592617
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311834803.2A Pending CN117869212A (en) | 2023-12-28 | 2023-12-28 | Millimeter-level three-dimensional scanning system of wind generating set |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117869212A (en) |
-
2023
- 2023-12-28 CN CN202311834803.2A patent/CN117869212A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110832351B (en) | Method for capturing an incident wind field and modeling the same by means of a LIDAR sensor | |
| US11520053B2 (en) | Method for acquiring and modelling with a lidar sensor an incident wind field | |
| CN111173686B (en) | Method for determining the induction factor of a LiDAR sensor-equipped wind turbine | |
| CN112648150B (en) | Detection method for blade clearance value of wind driven generator set based on 77GHz millimeter wave radar | |
| WO2020156629A1 (en) | Method of inspection of wind turbine blades | |
| CN113324548B (en) | Planning method for inspection path of wind driven generator blade | |
| CN111706472B (en) | Method of predicting wind speed in a rotor plane of a LiDAR sensor equipped wind turbine | |
| CN103364072A (en) | Wind turbine generator blade on-line detecting method and device | |
| CN101818724A (en) | Intelligent blade of wind driven generator | |
| US11421651B2 (en) | Method of determining wind direction by means of a LiDAR sensor | |
| CN112114332A (en) | Method for determining the vertical profile of the wind speed upstream of a wind turbine equipped with a LIDAR sensor | |
| CN113406107A (en) | Fan blade defect detection system | |
| US11746746B2 (en) | Method of determining average wind speed by means of a LiDAR sensor | |
| US20210279389A1 (en) | Method of determining the wind speed in the rotor plane of a wind turbine | |
| CN115773209A (en) | Fan blade clearance detection device and detection method | |
| CN117869212A (en) | Millimeter-level three-dimensional scanning system of wind generating set | |
| CN110608133B (en) | Offshore wind power generation control system and method | |
| CN114294171A (en) | Method and system for monitoring clearance distance of blades of wind turbine generator | |
| CN115807741A (en) | Wind turbine generator system apex headroom measurement system | |
| CN203396477U (en) | Wind turbine generator blade on-line detecting device | |
| CN112202924A (en) | High-power wind turbine generator system bolt intellectual detection system that excels in based on thing networking | |
| CN116027314B (en) | Fan blade clearance distance monitoring method based on radar data | |
| CN215719255U (en) | Fan blade clearance detection device | |
| CN116308180B (en) | Wind power structure health monitoring system and method based on unmanned aerial vehicle and machine vision | |
| CN113565701A (en) | Wind power tower cylinder vibration monitoring system and monitoring method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |