LU505192B1 - Method and Device for Controlling Wind Turbine Generator Operation and Maintenance Based on Image Recognition, and Equipment Executing the Method Thereof - Google Patents
Method and Device for Controlling Wind Turbine Generator Operation and Maintenance Based on Image Recognition, and Equipment Executing the Method Thereof Download PDFInfo
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- LU505192B1 LU505192B1 LU505192A LU505192A LU505192B1 LU 505192 B1 LU505192 B1 LU 505192B1 LU 505192 A LU505192 A LU 505192A LU 505192 A LU505192 A LU 505192A LU 505192 B1 LU505192 B1 LU 505192B1
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- 238000012423 maintenance Methods 0.000 title claims abstract description 184
- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000007547 defect Effects 0.000 claims abstract description 89
- 238000001514 detection method Methods 0.000 claims abstract description 30
- 238000011217 control strategy Methods 0.000 claims abstract description 24
- 230000003993 interaction Effects 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims description 22
- 230000006399 behavior Effects 0.000 claims description 21
- 238000012549 training Methods 0.000 claims description 9
- 238000004519 manufacturing process Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 5
- 210000002569 neuron Anatomy 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 2
- 238000003706 image smoothing Methods 0.000 claims description 2
- 230000008676 import Effects 0.000 claims description 2
- 238000002156 mixing Methods 0.000 claims description 2
- 238000000926 separation method Methods 0.000 claims description 2
- 238000003062 neural network model Methods 0.000 abstract description 3
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000013473 artificial intelligence Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 101100233916 Saccharomyces cerevisiae (strain ATCC 204508 / S288c) KAR5 gene Proteins 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000003066 decision tree Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- RLQJEEJISHYWON-UHFFFAOYSA-N flonicamid Chemical compound FC(F)(F)C1=CC=NC=C1C(=O)NCC#N RLQJEEJISHYWON-UHFFFAOYSA-N 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 238000007637 random forest analysis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
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- 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
- F03D17/001—Inspection
- F03D17/003—Inspection characterised by using optical devices, e.g. lidar or cameras
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- 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
- F03D17/005—Monitoring or testing of wind motors, e.g. diagnostics using computation methods, e.g. neural networks
- F03D17/0065—Monitoring or testing of wind motors, e.g. diagnostics using computation methods, e.g. neural networks for diagnostics
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- 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
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
- F03D80/50—Maintenance or repair
- F03D80/509—Maintenance scheduling
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24001—Maintenance, repair
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24019—Computer assisted maintenance
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2619—Wind turbines
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32234—Maintenance planning
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- Mechanical Engineering (AREA)
- Combustion & Propulsion (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Sustainable Development (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Energy (AREA)
- Artificial Intelligence (AREA)
- Automation & Control Theory (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Wind Motors (AREA)
Abstract
The invention provides a method and a device for controlling wind turbine generator operation and maintenance based on image recognition, and an equipment executing the method thereof, wherein the method comprises: collecting operation and maintenance images and meteorological data of wind turbine generator; inputting the meteorological data and the operation and maintenance images into wind turbine generator operation and maintenance detection model; generating an operation and maintenance control strategy and alarm images based on the working defects of wind turbine generator, the personnel behavior defects and the vehicle operation defects; displaying the operation and maintenance control strategy and the alarm images on the man-machine interaction interface of wind turbine generator. Automatic image identification is performed by neural network model to generate the operation and maintenance control strategy, thus effectively improving the intelligent level of operation and maintenance control of wind turbine generator.
Description
METHOD AND DEVICE FOR CONTROLLING WIND TURBINE GENERATOR 0505188
OPERATION AND MAINTENANCE BASED ON IMAGE RECOGNITION, AND
EQUIPMENT EXECUTING THE METHOD THEREOF
The invention relates to the technical field of wind turbine generator control, in particular to a method and a device for controlling wind turbine generator operation and maintenance based on image recognition, and an equipment executing the method thereof.
The application of artificial intelligence in the field of image recognition is a hot research topic at home and abroad. At present, great progress has been made in face recognition, automatic driving, medical image diagnosis and logistics sorting, and robot inspection and drone inspection have also been carried out in practice, and some results have been achieved. However, in the new energy power industry, such as wind turbine generator industry, the application of image application technology based on artificial intelligence is relatively rare.
Therefore, how to intelligently control the operation and maintenance of wind turbine generator based on image recognition has become an urgent technical problem for those skilled in this art.
The invention provides a method and a device for controlling wind turbine generator operation and maintenance based on image recognition, and an equipment executing the method thereof, so as to solve the defect of poor intelligent level of the wind turbine generator operation and maintenance control in the prior art.
The invention provides a method for controlling wind turbine generator operation and maintenance control based on image recognition, wherein the method for controlling wind turbine generator operation and maintenance control based on image recognition comprises: collecting operation and maintenance images and meteorological data of wind turbine generator, wherein the operation and maintenance images comprise an electrical circuit image, a wind turbine generator tower image, an impeller image, an internal part image, a booster station equipment and facility image, a safety production image and a station material image; inputting the meteorological data and the operation and maintenance images into wind turbine generator operation and maintenance detection model, and outputting operation and 905192 maintenance defects of the wind turbine generator, wherein the operation and maintenance defects comprise working defects of wind turbine generator, personnel behavior defects and vehicle operation defects, and the wind turbine generator operation and maintenance detection model is built by pre-training based on meteorological data samples, operation and maintenance image samples and operation and maintenance defect samples; generating an operation and maintenance control strategy and alarm images based on the working defects of wind turbine generator, the personnel behavior defects and the vehicle operation defects; displaying the operation and maintenance control strategy and the alarm images on the man-machine interaction interface of wind turbine generator.
The invention also provides a device for controlling wind turbine generator operation and maintenance control based on image recognition, wherein the device for controlling wind turbine generator operation and maintenance control based on image recognition comprises: a collecting module, which is used for collecting operation and maintenance images and meteorological data of wind turbine generator, wherein the operation and maintenance images comprise an electrical circuit image, a wind turbine generator tower image, an impeller image, an internal part image, a booster station equipment and facility image, a safety production image and a station material image; a detection module, which is used for inputting the meteorological data and the operation and maintenance images into wind turbine generator operation and maintenance detection model, and outputting operation and maintenance defects of the wind turbine generator, wherein the operation and maintenance defects comprise working defects of wind turbine generator, personnel behavior defects and vehicle operation defects, and the wind turbine generator operation and maintenance detection model is built by pre-training based on meteorological data samples, operation and maintenance image samples and operation and maintenance defect samples; a generation module, which is used for generating an operation and maintenance control strategy and alarm images based on the working defects of wind turbine generator, the personnel behavior defects and the vehicle operation defects;
a display module, which is used for displaying the operation and maintenance control 20° 192 strategy and the alarm images on the man-machine interaction interface of wind turbine generator.
The invention also provides a new energy centralized control center platform, wherein the new energy centralized control center platform is used for executing the method for controlling wind turbine generator operation and maintenance based on image recognition.
The invention also provides an electronic equipment, wherein the electronic equipment comprises a memory, a processor and a computer program stored in the memory and can be run on the processor, and when the processor executes the program, any one of the above methods for controlling wind turbine generator operation and maintenance based on image recognition can be realized.
The invention provides a method and a device for controlling wind turbine generator operation and maintenance based on image recognition, and an equipment executing the method thereof. The method for controlling wind turbine generator operation and maintenance based on image recognition comprises: collecting operation and maintenance images and meteorological data of wind turbine generator, wherein the operation and maintenance images comprise an electrical circuit image, a wind turbine generator tower image, an impeller image, an internal part image, a booster station equipment and facility image, a safety production image and a station material image; inputting the meteorological data and the operation and maintenance images into wind turbine generator operation and maintenance detection model, wherein the operation and maintenance defects comprise working defects of wind turbine generator, personnel behavior defects and vehicle operation defects, and the wind turbine generator operation and maintenance detection model is built by pre-training based on meteorological data samples, operation and maintenance image samples and operation and maintenance defect samples; generating an operation and maintenance control strategy and alarm images based on the working defects of wind turbine generator, the personnel behavior defects and the vehicle operation defects; displaying the operation and maintenance control strategy and the alarm images on the man-machine interaction interface of wind turbine generator. Automatic image identification is performed by neural network model to generate the operation and maintenance control strategy, thus effectively improving the intelligent level of operation and maintenance control of wind turbine generator. LUS05192
In order to explain the technical schemes of the invention or the prior art more clearly, the drawings needed in the description of the examples or the prior art will be briefly introduced below. Obviously, the drawings in the following description are some examples of the invention, and other drawings can be obtained according to these drawings without creative labor for the skilled in the art.
FIG.1 is a schematic flow chart of a method for controlling wind turbine generator operation and maintenance based on image recognition provided by an example of the invention;
FIG.2 is a schematic structural diagram of a device for controlling wind turbine generator operation and maintenance based on image recognition provided by an example of the invention;
FIG 3 is a schematic structural diagram of an electronic equipment provided by an example of the invention.
In order to make the purpose, technical schemes and advantages of the examples of the invention more clear, the technical schemes in the examples of the invention will be described clearly and completely with the attached drawings. Obviously, the described examples are only some examples of the invention, but not the whole examples.
FIG.1 is a schematic flow chart of a method for controlling wind turbine generator operation and maintenance based on image recognition provided by an example of the invention.
As shown in FIG.1, a method for controlling wind turbine generator operation and maintenance based on image recognition provided by an example of the invention mainly includes the following steps: 101. collecting operation and maintenance images and meteorological data of wind turbine generator, wherein the operation and maintenance images comprise an electrical circuit image, a wind turbine generator tower image, an impeller image, an internal part image, a booster station equipment and facility image, a safety production image and a station material image.
Specifically, collecting the operation and maintenance images of wind turbine generator by image collecting equipment and/or image file import; and/or; collecting video images of wind turbine generator by video collecting equipment, and obtaining the operation and maintenance images by the video images. Wherein, the image collecting equipment includes mobile phones. 20° 192 cameras, etc., and video collecting equipment includes intelligent equipment that can record video, such as video cameras.
Meteorological data can be directly read at the current moment through the Internet, 5 including precipitation, temperature, humidity, wind speed, and sunny and cloudy conditions, and those such as current wind speed and temperature may also be collected by setting a sensor to ensure the stability of the final results. 102. inputting the meteorological data and the operation and maintenance images into wind turbine generator operation and maintenance detection model, and outputting operation and maintenance defects of the wind turbine generator, wherein the operation and maintenance defects comprise working defects of wind turbine generator, personnel behavior defects and vehicle operation defects, and the wind turbine generator operation and maintenance detection model is built by pre-training based on meteorological data samples, operation and maintenance image samples and operation and maintenance defect samples.
After collecting meteorological data and operation and maintenance images, they are input into the wind turbine generator operation and maintenance detection model, wherein the wind turbine generator operation and maintenance detection model is a pre-built neural network model and can be trained by any one of Vector Machine, Naive Bayes, Random Forest, Decision Tree
Analysis, Clustering Algorithm and Gradient Descent. The training process is mainly collecting pictures, labelling images, establishing an image database, with the images in the image database corresponding to their own meteorological data, classifying and analyzing to form a defect database and a standard database, and then performing hyper-parameter adjustment of model through the training set and the test set, so as to improve the accuracy of model.
Wherein, hyper-parameters include the number of hidden units, learning rate, convolution kernel density, implicit zero padding and weight attenuation coefficient. By a large number of experiments, the wind turbine generator operation and maintenance detection model in this example can accurately identify the working defects of wind turbine generator, personnel behavior defects and vehicle operation defects.
The specific process of wind turbine generator operation and maintenance detection model can be as follows: identifying the meteorological data, and calling operation and maintenance detection neurons corresponding to the meteorological data; identifying and processing the 905192 operation and maintenance images through the operation and maintenance detection neurons, and outputting operation and maintenance defects of the wind turbine generator. That is to say, the neurons under the meteorological data are called to ensure the accuracy of the operation and maintenance defect identification results, in other words, compared with the simple defect identification, the final operation and maintenance defect identification results are more accurate and reliable. 103. generating an operation and maintenance control strategy and alarm images based on the working defects of wind turbine generator, the personnel behavior defects and the vehicle operation defects.
The working defects of wind turbine generator refer to the faults in the working process of wind turbine generator, such as blade fault, impeller fault and inverter fault. Personnel behavior defects refer to improper operation and other behaviors. Vehicle operation defects refer to abnormal running operations of vehicles.
Firstly, maintenance time, maintenance part and maintenance mode of wind turbine generator are determined based on the working defects of wind turbine generator: the working efficiency of wind turbine generator can be ensured by accurate prediction of maintenance time, maintenance part and maintenance mode. Secondly, personnel operation specification, personnel walking specification and personnel labor protection specification are determined based on the personnel behavior defects: personnel safety can be better ensured by timely standardizing personnel behaviors, including operation process, walking area and labor protection wearing.
Thirdly, vehicle running time, vehicle running speed and vehicle running area are determined based on the vehicle operation defects; the standardization of vehicle operation can ensure that there is no fault conflict among vehicles, pedestrians and equipment, and the standardization of vehicle running area can also ensure running safety of vehicles. Finally, the maintenance time, the maintenance part, the maintenance mode, the personnel operation specification, the personnel walking specification, the personnel labor protection specification, the vehicle running time, the vehicle running speed and the vehicle running area are combined to generate an operation and maintenance control strategy so as to better ensure the working efficiency of wind turbine generator, the personal safety of workers and the running safety of vehicles.
Alarm images refer to the images of wind turbine generator faults, the images of abnormal >>. % operation of personnel and the images of abnormal running of vehicles, and they are used to know the specific situation in time and react promptly and quickly by relevant personnel, so as to improve the operating efficiency of wind turbine generator. 104. displaying the operation and maintenance control strategy and the alarm images on the man-machine interaction interface of wind turbine generator.
After the operation and maintenance control strategy and alarm images are obtained, they are displayed on the man-machine interaction interface of wind turbine generator, and the monitoring personnel can grasp the situation in time by the man-machine interface and respond quickly. Wherein the operation and maintenance control strategy comprises at least one of interface presentation view, operation control view, safety protection view, comprehensive performance view and asset configuration view.
In this example, the defects of wind turbine generator are identified by image recognition based on the wind turbine generator operation and maintenance detection model, and then the corresponding control strategy and alarm images are generated and displayed on the man-machine interaction interface, so that the operation and maintenance management of wind turbine generator is more intelligent, and the operation and maintenance management efficiency and power generation efficiency can be improved.
Further, on the basis of the above examples, after operation and maintenance images of wind turbine generator are collected in this example, the following shall be carried out: attribute adjustment processing, including contrast enhancement, image smoothing, basic calibration and resolution adjustment, is performed on the operation and maintenance images; picture standardization processing, including image blending, exposure compensation, seam estimation, automatic image skew calibration and estimated rotation processing, is performed on the operation and maintenance images subjected to attribute adjustment; motion analysis processing, including object tracking, background separation and motion estimation processing, is performed on the operation and maintenance images subjected to picture standardization processing so as to obtain standard operation and maintenance images as operation and maintenance images input into the wind turbine generator operation and maintenance detection model.
Specifically, after a series of attribute adjustment processing, standardization processing and motion analysis processing are carried out on the collected images, the final output results” 905192 identified and processed by the wind turbine generator operation and maintenance detection model are ensured to be more accurate and reliable.
FIG.2 is a schematic structural diagram of a device for controlling wind turbine generator operation and maintenance based on image recognition provided by an example of the invention.
As shown in FIG.2, a device for controlling wind turbine generator operation and maintenance control based on image recognition provided by an example of the invention includes: a collecting module 201, which is used for collecting operation and maintenance images and meteorological data of wind turbine generator, wherein the operation and maintenance images comprise an electrical circuit image, a wind turbine generator tower image, an impeller image, an internal part image, a booster station equipment and facility image, a safety production image and a station material image; a detection module 202, which is used for inputting the meteorological data and the operation and maintenance images into wind turbine generator operation and maintenance detection model, and outputting operation and maintenance defects of the wind turbine generator, wherein the operation and maintenance defects comprise working defects of wind turbine generator, personnel behavior defects and vehicle operation defects, and the wind turbine generator operation and maintenance detection model is built by pre-training based on meteorological data samples, operation and maintenance image samples and operation and maintenance defect samples; a generation module, which is used for generating an operation and maintenance control strategy and alarm images based on the working defects of wind turbine generator, the personnel behavior defects and the vehicle operation defects. a display module 204, which is used for displaying the operation and maintenance control strategy and the alarm images on the man-machine interaction interface of wind turbine generator.
The invention also provides a new energy centralized control center platform, wherein the new energy centralized control center platform is used for executing the method for controlling wind turbine generator operation and maintenance based on image recognition in any of the above examples. LUS05192
FIG 3 is a schematic structural diagram of an electronic equipment provided by an example of the invention.
As shown in FIG3, the electronic equipment may include a processor 310, a communication interface 320, a memory 330 and a communication bus 340, wherein the processor 310, the communication interface 320 and the memory 330 communicate with each other through the communication bus 340. The processor 310 can call the logic instructions in the memory 330 to execute the method for controlling wind turbine generator operation and maintenance based on image recognition.
Claims (10)
1. A method for controlling wind turbine generator operation and maintenance based on image recognition, comprising: collecting operation and maintenance images and meteorological data of wind turbine generator, wherein the operation and maintenance images comprise an electrical circuit image, a wind turbine generator tower image, an impeller image, an internal part image, a booster station equipment and facility image, a safety production image and a station material image; inputting the meteorological data and the operation and maintenance images into wind turbine generator operation and maintenance detection model, and outputting operation and maintenance defects of the wind turbine generator, wherein the operation and maintenance defects comprise working defects of wind turbine generator, personnel behavior defects and vehicle operation defects, and the wind turbine generator operation and maintenance detection model is built by pre-training based on meteorological data samples, operation and maintenance image samples and operation and maintenance defect samples; generating an operation and maintenance control strategy and alarm images based on the working defects of wind turbine generator, the personnel behavior defects and the vehicle operation defects; displaying the operation and maintenance control strategy and the alarm images on the man-machine interaction interface of wind turbine generator.
2. The method for controlling wind turbine generator operation and maintenance based on image recognition according to claim 1, wherein “collecting operation and maintenance images of wind turbine generator” comprises: collecting the operation and maintenance images of wind turbine generator by image collecting equipment and/or image file import; and/or; collecting video images of wind turbine generator by video collecting equipment, and obtaining the operation and maintenance images by the video images.
3. The method for controlling wind turbine generator operation and maintenance based on image recognition according to claim 1, wherein after “collecting operation and maintenance images of wind turbine generator”, the following shall be carried out:
performing attribute adjustment processing on the operation and maintenance images; 0505192 performing picture standardization processing on the operation and maintenance images subjected to attribute adjustment; performing motion analysis processing on the operation and maintenance images subjected to picture standardization processing so as to obtain standard operation and maintenance images as operation and maintenance images input into the wind turbine generator operation and maintenance detection model.
4. The control method of wind turbine generator operation and maintenance based on image recognition according to claim 3, wherein “performing attribute adjustment processing on the operation and maintenance images” comprises: performing contrast enhancement, image smoothing, basic calibration and resolution adjustment on the operation and maintenance images; “performing picture standardization processing on the operation and maintenance images subjected to attribute adjustment” comprises: performing image blending, exposure compensation, seam estimation, automatic image skew calibration and estimated rotation processing on the operation and maintenance images subjected to attribute adjustment; “performing motion analysis processing on the operation and maintenance images subjected to picture standardization processing” comprises: performing object tracking, background separation and motion estimation processing on the operation and maintenance images subjected to picture standardization processing.
5. The method for controlling wind turbine generator operation and maintenance based on image recognition according to claim 1, wherein “generating an operation and maintenance control strategy and alarm images based on the working defects of wind turbine generator, the personnel behavior defects and the vehicle operation defects” comprises: determining maintenance time, maintenance part and maintenance mode of wind turbine generator based on the working defects of wind turbine generator; determining personnel operation specification, personnel walking specification and personnel labor protection specification based on the personnel behavior defects; determining vehicle running time, vehicle running speed and vehicle running area based on the vehicle operation defects; LUS05192 generating an operation and maintenance control strategy by combining the maintenance time, the maintenance part, the maintenance mode, the personnel operation specification, the personnel walking specification, the personnel labor protection specification, the vehicle running time, the vehicle running speed and the vehicle running area.
6. The method for controlling wind turbine generator operation and maintenance based on image recognition according to claim 1, wherein “outputting operation and maintenance defects of the wind turbine generator” comprises: identifying the meteorological data, and calling operation and maintenance detection neurons corresponding to the meteorological data; identifying and processing the operation and maintenance images through the operation and maintenance detection neurons, and outputting operation and maintenance defects of the wind turbine generator.
7. The method for controlling wind turbine generator operation and maintenance based on image recognition according to claim 1, wherein the operation and maintenance control strategy comprises at least one of interface presentation view, operation control view, safety protection view, comprehensive performance view and asset configuration view.
8. A device for controlling wind turbine generator operation and maintenance based on image recognition, comprising: a collecting module, which is used for collecting operation and maintenance images and meteorological data of wind turbine generator, wherein the operation and maintenance images comprise an electrical circuit image, a wind turbine generator tower image, an impeller image, an internal part image, a booster station equipment and facility image, a safety production image and a station material image; a detection module, which is used for inputting the meteorological data and the operation and maintenance images into wind turbine generator operation and maintenance detection model, and outputting operation and maintenance defects of the wind turbine generator, wherein the operation and maintenance defects comprise working defects of wind turbine generator, personnel behavior defects and vehicle operation defects, and the wind turbine generator operation and maintenance detection model is built by pre-training based on meteorological data samples, operation and maintenance image samples and operation and maintenance defect 905192 samples; a generation module, which is used for generating an operation and maintenance control strategy and alarm images based on the working defects of wind turbine generator, the personnel behavior defects and the vehicle operation defects; a display module, which is used for displaying the operation and maintenance control strategy and the alarm images on the man-machine interaction interface of wind turbine generator.
9. An electronic equipment, comprising a memory, a processor and a computer program stored in the memory and can be run on the processor, and when the processor executes the program, the method for controlling wind turbine generator operation and maintenance based on image recognition according to any one of claims 1 to 7 can be realized.
10. A new energy centralized control center platform, wherein the new energy centralized control center platform is used for executing the method for controlling wind turbine generator operation and maintenance based on image recognition according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| LU505192A LU505192B1 (en) | 2023-09-27 | 2023-09-27 | Method and Device for Controlling Wind Turbine Generator Operation and Maintenance Based on Image Recognition, and Equipment Executing the Method Thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| LU505192A LU505192B1 (en) | 2023-09-27 | 2023-09-27 | Method and Device for Controlling Wind Turbine Generator Operation and Maintenance Based on Image Recognition, and Equipment Executing the Method Thereof |
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| Publication Number | Publication Date |
|---|---|
| LU505192B1 true LU505192B1 (en) | 2024-03-27 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| LU505192A LU505192B1 (en) | 2023-09-27 | 2023-09-27 | Method and Device for Controlling Wind Turbine Generator Operation and Maintenance Based on Image Recognition, and Equipment Executing the Method Thereof |
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|---|---|
| LU (1) | LU505192B1 (en) |
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2023
- 2023-09-27 LU LU505192A patent/LU505192B1/en active IP Right Grant
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