CN113417809A - Visual lightning stroke monitoring method and system - Google Patents
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- 208000025274 Lightning injury Diseases 0.000 title claims abstract description 180
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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
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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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/10—Purpose of the control system
- F05B2270/107—Purpose of the control system to cope with emergencies
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Abstract
The invention discloses a visual lightning stroke monitoring method and a system, wherein the method comprises the following steps: step S1: acquiring lightning stroke data, analyzing and processing the acquired lightning stroke data to acquire lightning stroke times, judging whether a lightning stroke alarm signal is formed or not according to the lightning stroke times, executing the step S2 if the lightning stroke alarm signal is formed, and executing the step S1 in a circulating mode if the lightning stroke alarm signal is formed; step S2: acquiring visual information data including shot object image data, analyzing and processing the visual information data, comparing the image data in the acquired visual information data with the image data of the shot object in a normal state through an image difference comparison algorithm, judging whether the shot object is damaged or not, and generating an operation and maintenance work order information report including the shot object visual information data if the shot object is damaged; otherwise, step S1 is executed. The monitoring method improves the accuracy of fault positioning information; and finally, forming an operation and maintenance work order information report comprising the visual information data of the shot object, so that field personnel can find the lightning stroke problem in time and carry out maintenance and repair in time.
Description
Technical Field
The invention belongs to the technical field of fault diagnosis, and particularly relates to a visual lightning stroke monitoring method and system, which can be used for monitoring the damage fault state of a blade of a wind generating set after being struck by lightning.
Background
The development and progress of human society can not make use of energy efficiently. In the current society, human beings mainly use energy or mainly burn fossil fuel to convert chemical energy into electric energy, but a series of environmental problems are brought. The urgent desire to replace non-renewable fossil fuels with clean and renewable energy sources has brought about a revolution in energy structure. The technology of the wind driven generator is mature day by day, and the wind driven generator can be massively developed and is easy to realize by engineering and the like, so that the wind driven generator is vigorously developed in various countries in the world.
Wind farms are generally built in relatively open places such as mountains, plains and hills. Due to the increasing capacity of wind generating sets (wind turbines), the height of the tower is also increasing in order to obtain enough wind energy, so that the probability of lightning strike is far higher than that of the opposite region. When the blade is damaged by lightning, the blade can be manually checked only by stopping the machine afterwards. But generally the blades are struck by lightning for a long time, especially in offshore wind turbines. The lagging troubleshooting mode is used for damaging and operating the blades after the wind turbine generator is struck by lightning, so that the fault is possibly further expanded. Therefore, the maintenance cost is increased, and even the blade which only needs to be maintained breaks, the unit falls down and other serious accidents happen due to the operation with faults.
At present, two lightning stroke monitoring methods are mainly adopted for a wind generating set, one method is to monitor the condition of a blade damage fault state in a manual inspection mode after lightning stroke occurs, the labor and the time are wasted, the effect is not ideal, and hidden danger is buried for safe and stable operation of the wind generating set. The other method is to install a large number of sensors to monitor and analyze the state condition of the lightning stroke of the wind turbine generator, and although the method improves the monitoring precision of the single wind turbine generator of the whole wind power plant, the cost of the wind turbine generator is improved, and the economy of the wind power plant is not facilitated. Meanwhile, only the lightning strike of the fan is known, but the damage fault state of the blade of the fan struck by lightning and the position information of which blade is damaged are not known.
Disclosure of Invention
In order to solve the defects and shortcomings of the prior art, the invention aims to provide a visual lightning stroke monitoring method which can at least find out the damage fault of a struck object after being struck by lightning in time and improve the monitoring precision of the struck object state.
To achieve the object of the present invention, there is provided a visual lightning stroke monitoring method comprising the steps of:
step S1: acquiring lightning stroke data, analyzing and processing the acquired lightning stroke data to acquire lightning stroke times, judging whether a lightning stroke alarm signal is formed or not according to the lightning stroke times, executing the step S2 if the lightning stroke alarm signal is formed, and executing the step S1 in a circulating mode if the lightning stroke alarm signal is formed;
step S2: acquiring visual information data including shot object image data, analyzing and processing the visual information data, comparing the image data in the acquired visual information data with the image data of the shot object in a normal state through an image difference comparison algorithm, judging whether the shot object is damaged or not, and generating an operation and maintenance work order information report including the shot object visual information data if the shot object is damaged; otherwise, step S1 is executed.
In some embodiments, the monitoring method provided by the invention further comprises a storage step for storing the lightning strike data and the visual information data, wherein the storage step stores each lightning strike data and the corresponding visual information data; the storage and management of the lightning stroke data and the visual information data in the whole life cycle of the monitored object are realized, and data support is provided for the state analysis report of the monitored object subjected to the lightning stroke.
Another aspect of the invention herein is to provide a visual lightning strike monitoring system, the system comprising:
the first acquisition terminal is used for acquiring lightning stroke data;
the second acquisition terminal is used for acquiring visual information data;
and the main control device is respectively in signal connection with the first acquisition terminal and the second acquisition terminal, receives the lightning stroke data acquired by the first acquisition terminal, processes and analyzes the lightning stroke data to judge whether a lightning stroke alarm signal is formed, and triggers the second acquisition terminal to acquire visual information data including the image data of the shot object according to the lightning stroke alarm signal, processes and analyzes the visual information data, and then generates an operation and maintenance work order information report including the visual information data of the shot object.
In some embodiments, the monitoring system further comprises a storage device for storing lightning strike data and visual information data for data provision.
The third aspect of the present invention herein further provides a method for monitoring a visual lightning stroke of a large wind turbine generator system, including:
step S1: acquiring lightning stroke data, analyzing and processing the acquired lightning stroke data to acquire lightning stroke times, judging whether a lightning stroke alarm signal is formed or not according to the lightning stroke times, executing the step S2 if the lightning stroke alarm signal is formed, and executing the step S1 in a circulating mode if the lightning stroke alarm signal is formed;
step S2: acquiring visual information data including image data of the struck blade, analyzing and processing the visual information data, comparing the image data in the acquired visual information data with the image data of the struck blade in a normal state through an image difference comparison algorithm, judging whether the struck blade is damaged or not, if so, generating an operation and maintenance work order information report including the visual information data of the struck blade, and executing the step S3; otherwise, go to step S1;
step S3: and sending a control instruction to control the wind turbine generator to act so as to safely stop the wind turbine generator.
The fourth aspect of the present invention provides a visual lightning stroke monitoring system for a large wind turbine generator system, comprising:
the first acquisition terminal is used for acquiring lightning stroke data;
the second acquisition terminal is used for acquiring visual information data;
the main control device is respectively in signal connection with the first acquisition terminal and the second acquisition terminal, receives lightning stroke data acquired by the first acquisition terminal, processes and analyzes the lightning stroke data to judge whether a lightning stroke alarm signal is formed, and triggers the second acquisition terminal to acquire visual information data including image data of the struck blade according to the lightning stroke alarm signal, processes and analyzes the visual information data, and then generates an operation and maintenance work order information report including the visual information data of the struck blade;
the main control device is connected with the wind turbine generator control system, provides instructions for the wind turbine generator control system when the struck blade is damaged, and controls the wind turbine generator to act after receiving the instructions, so that the wind turbine generator is safely shut down.
By adopting the technical scheme provided by the invention, the beneficial effects that can be achieved are at least: according to the monitoring method, the lightning stroke data are acquired, the visual information data including the image data of the struck object are acquired according to the lightning stroke data in a triggering mode, the positions where lightning strokes and damages occur can be accurately acquired and positioned, and the accuracy of fault positioning information is improved; and finally, forming an operation and maintenance work order information report comprising the visual information data of the shot object, so that field personnel can find the lightning stroke problem in time and carry out maintenance and repair in time.
Drawings
The above and other features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
FIG. 1 is a flow chart of a method of visual lightning strike monitoring according to an embodiment of the disclosure;
FIG. 2 is a schematic diagram of a visual lightning strike monitoring method for a large wind turbine generator set according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of a method of visual lightning strike monitoring for a large wind turbine generator set according to an embodiment of the disclosure.
Detailed Description
Exemplary embodiments will now be described more fully with reference to the accompanying drawings. The exemplary embodiments, however, may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. In the drawings, the size of some of the elements may be exaggerated or distorted for clarity. The same reference numerals denote the same or similar structures in the drawings, and thus detailed descriptions thereof will be omitted.
An exemplary structure of the visual lightning stroke monitoring system in this embodiment includes a first obtaining terminal, a second obtaining terminal, and a main control device; the main control device comprises a lightning stroke data processing module, a lightning stroke alarm module, a control module, a visual data processing module and a damage alarm module.
The first acquisition terminal is used as a lightning stroke monitoring data acquisition device for sensing lightning stroke and monitoring the lightning stroke condition of a monitored object in real time to form lightning stroke data; the second acquisition terminal is used as a visual acquisition device for acquiring visual information data including image data of the struck object; the lightning stroke data processing module is used for processing lightning stroke data formed by the first acquisition terminal to acquire the number of times of lightning stroke; the lightning stroke alarm module judges whether a lightning stroke alarm signal is formed or not according to the lightning stroke frequency acquired by the lightning stroke data processing module, if the lightning stroke alarm signal is formed, the lightning stroke alarm module inputs the lightning stroke alarm signal into the control module, the control module triggers the second acquisition module to acquire visual information data containing image data of the shot object when the lightning stroke data processing module outputs the visual information data, transmits the visual information data to the visual data processing module, analyzes and processes the acquired visual information data by using a visual identification algorithm, judges the state of the shot object after being struck by lightning, generates a lightning stroke damage report comprising information data such as a shot object picture, a damaged area identified by the visual data processing module, a damage type which can be positioned and the like, and inputs the lightning stroke damage report into the damage alarm module, and the damage alarm module compares the image data in the acquired visual information data with the image data of the shot object in a normal state through an image difference algorithm, judging whether the object to be shot is damaged or not, if so, generating a damage alarm signal (namely pushing information for judging whether damage exists) to the control module, and generating an operation and maintenance work order information report comprising visual information data of the object to be shot by the control module as an alarm report for workers to use, so that field workers can find the lightning stroke problem of the object to be shot in time and effectively maintain and maintain the object to be shot in time.
The exemplary structure of the visual lightning stroke monitoring system provided herein further comprises a storage device, the device comprises a lightning stroke data storage and management module for storing and managing the whole lightning stroke process data in the whole life cycle of the monitored object, and the data support is provided for the lightning protection analysis report of the monitored object; and/or the visual data storage and management module is used for realizing the storage and management of the lightning stroke visual information data in the whole life cycle of the monitored object and providing data support for the state analysis report of the monitored object subjected to the lightning stroke.
Referring to fig. 1, the monitoring method of the visual lightning stroke monitoring system includes the following steps:
step S1: acquiring lightning stroke data, cleaning and analyzing the acquired lightning stroke data to acquire lightning stroke times, judging whether a lightning stroke alarm signal is formed or not according to the lightning stroke times, executing the step S2 if the lightning stroke alarm signal is formed, and executing the step S1 in a circulating mode if the lightning stroke alarm signal is formed; the number of lightning strokes can be set arbitrarily according to the situation, such as once, namely, the alarm is given as long as the lightning stroke is suffered;
step S2: acquiring visual information data including shot object image data, analyzing and processing the visual information data, comparing the image data in the acquired visual information data with the image data of the shot object in a normal state through an image difference comparison algorithm, judging whether the shot object is damaged or not, and generating an operation and maintenance work order information report including the shot object visual information data if the shot object is damaged; otherwise, step S1 is executed.
The step S2 may be performed in any manner on the acquired visual information data, and the present embodiment provides an exemplary processing procedure, but the processing procedure provided herein is only exemplary and is not limiting.
The exemplary process specifically includes:
step S21: image preprocessing, namely performing edge monitoring, filtering operation, image scaling and image segmentation on the image in the acquired visual information data;
step S22: extracting features, namely extracting hog features from the image preprocessed in the step S21;
step S23: and (4) image quality classification, namely classifying the acquired images by adopting a machine learning method or a fitting SVM model.
In the above steps, the classification model is formed by training a large number of normal leaf image features and lost leaf image features in advance, and after the image features are extracted, the acquired images are classified by using the trained model to confirm that the images are normal or damaged.
In order to better provide data support, the lightning stroke data storage device further comprises a storage step for storing the lightning stroke data and the visual information data, and the storage step stores the lightning stroke data and the visual information data corresponding to the lightning stroke data.
The monitoring system and method provided herein can be applied to visual monitoring of lightning strikes of any object, and the monitoring principle is described in detail in this embodiment by taking monitoring of a large wind turbine blade as an example, which is only exemplary, and it should be understood by those skilled in the art that the monitoring system and method is not limited to being applied to visual monitoring of lightning strikes of a large wind turbine blade.
Referring to fig. 2 and 3, a schematic diagram and a flowchart of a visual lightning stroke monitoring method for a large-scale wind generating set according to an embodiment of the present disclosure are shown, a first obtaining terminal is installed at a position where a blade of the set can sense a lightning stroke to ensure that lightning stroke data can be obtained; the second acquisition terminal is arranged at a position where the visual information data of the blade can be acquired so as to ensure that the visual information data of the blade can be acquired; the first acquisition terminal and the second acquisition terminal are respectively used as a lightning stroke monitoring data acquisition device and a vision acquisition device to acquire lightning stroke data and vision information data, and after the installation is completed, the specific monitoring process is as follows:
when the state of the blades of the wind turbine generator is normal, the wind turbine generator normally operates; when the wind turbine generator is in a thunderstorm weather working condition state, ensuring that the lightning stroke monitoring data acquisition device is in a normal working state to acquire lightning stroke data of blades of the wind turbine generator, analyzing and processing the acquired lightning stroke data to acquire lightning stroke times, summarizing, analyzing and processing the lightning stroke times, judging whether the wind turbine generator is struck by lightning according to the lightning stroke times acquired by analysis, and if not, indicating that the wind turbine generator is in a safe running state, continuously acquiring the lightning stroke data by the lightning stroke monitoring data acquisition device; if the wind turbine generator is in the unsafe operation state, the lightning stroke alarm module forms a lightning stroke alarm signal and inputs the lightning stroke alarm signal into the control module, the control module triggers the second acquisition module to acquire visual information data containing image data of a struck object when the lightning stroke alarm module outputs the lightning stroke alarm signal, the visual information data is transmitted to the visual data processing module, the acquired visual information data is summarized, analyzed and processed through a visual identification algorithm, the state (damaged or not damaged) of the blade after being struck by lightning is judged, and a lightning stroke damage report of the blade is automatically generated; the blade lightning stroke damage report is input into a damage alarm module, the damage alarm module compares image data in the acquired visual information data with image data of a wind turbine blade in a normal state through an image difference comparison algorithm according to the blade lightning stroke damage report, judges whether the wind turbine blade is damaged or not, if the wind turbine blade is damaged and indicates that the wind turbine blade is in an unsafe operation state, a blade damage alarm signal is generated to a control module, and the control module generates an operation and maintenance work order information report comprising the visual information data of the damaged wind turbine blade as an alarm report so that maintenance personnel can timely and effectively maintain and maintain the blade and restore the blade state of the wind turbine to be normal. If the blades of the wind turbine generator are not damaged, the wind turbine generator is in a safe operation state, namely the blades of the wind turbine generator are in a normal state, and the lightning stroke monitoring data acquisition device continues to acquire lightning stroke data.
In order to ensure the safety of the wind turbine generator, a visual data processing module in the main control device is also connected with a wind turbine generator control system, an instruction is provided for the wind turbine generator control system when the struck blade is damaged, and the wind turbine generator controls the wind turbine generator to act after receiving the instruction, so that the wind turbine generator is safely shut down.
The lightning strike data and the visual information data acquired by the first acquisition terminal and the second acquisition terminal are respectively stored after induction and analysis processing, and relevant data support is provided for the following blade subjected to lightning strike.
The monitoring system and the method provided by the invention are applied to monitoring the blades of the wind turbine generator, and are characterized in that: and a lightning stroke monitoring data acquisition device and a vision acquisition device are installed at proper positions of the wind turbine generator. And collecting lightning stroke information of the wind turbine generator through the lightning stroke monitoring data collecting device. The lightning stroke alarm device sends alarm information, and the main control module controls the visual acquisition device to start running. And the visual acquisition device is used for acquiring the blade information of the unit after the unit is struck by lightning. The method comprises the steps of processing appearance information of the blade in real time through an advanced visual recognition algorithm, judging the damage fault state of the blade and the lightning stroke point suffered by the blade after the wind turbine generator is struck by lightning, and automatically generating a blade lightning stroke report. Whether the blades of the wind turbine generator are damaged or not is judged by analyzing the lightning stroke report of the blades, and meanwhile, whether alarm information is sent out or not is judged by the blade damage alarm device. The method and the device have the advantages that visual lightning stroke monitoring of the wind turbine generator is realized, blades struck by lightning and damage positions of the blades struck by lightning can be accurately positioned, and accuracy of fault positioning information is improved. The blade state information can be timely sent to the main control device. The master control device timely generates an operation and maintenance work order information report so that field personnel can timely find the lightning stroke problem of the wind turbine generator, maintain and maintain the blades and ensure that the wind turbine generator operates in a safe and stable state. The blade damage fault of the wind turbine generator can be timely found after the wind turbine generator is struck by lightning, the monitoring precision of the damage state of the blades of the wind turbine generator is improved, the safety accident of the wind turbine generator is avoided, and the safe and stable operation of the wind turbine generator is guaranteed; meanwhile, the monitoring method and the monitoring system are easy to implement and economical.
The technical scheme has the advantages of low cost, wide environment adaptability, comprehensive popularization and the like, and can help field personnel to quickly and accurately position the damage fault position information of the monitored object. Timely maintenance is carried out to being monitored thing, the effectual potential safety hazard that has reduced by the monitoring thing.
The technical solutions provided by the present invention are described in detail above, and specific examples are used herein to explain the principles and embodiments of the present invention. It should be noted that the person skilled in the art can still make modifications to the foregoing case or equivalent replacements of some of its techniques. Therefore, any improvements and modifications made without departing from the scope of the present invention should be within the scope of the present invention.
Claims (10)
1. A visual lightning stroke monitoring method is characterized by comprising the following steps:
step S1: acquiring lightning stroke data, analyzing and processing the acquired lightning stroke data to acquire lightning stroke times, judging whether a lightning stroke alarm signal is formed or not according to the lightning stroke times, executing the step S2 if the lightning stroke alarm signal is formed, and executing the step S1 in a circulating mode if the lightning stroke alarm signal is formed;
step S2: acquiring visual information data including shot object image data, analyzing and processing the visual information data, comparing the image data in the acquired visual information data with the image data of the shot object in a normal state through an image difference comparison algorithm, judging whether the shot object is damaged or not, and generating an operation and maintenance work order information report including the shot object visual information data if the shot object is damaged; otherwise, step S1 is executed.
2. The visual lightning strike monitoring method of claim 1, characterized in that: the step S2 processes the acquired visual information data by:
step S21: image preprocessing, namely performing edge monitoring, filtering operation, image scaling and image segmentation on the image in the acquired visual information data;
step S22: extracting characteristics, namely extracting ho from the image preprocessed in the step S21gCharacteristic;
step S23: and (4) image quality classification, namely classifying the acquired images by adopting a machine learning method or a fitting SVM model.
3. The method of visual lightning strike monitoring according to claim 1 or 2, characterised in that: the method also comprises a storage step for storing the lightning stroke data and the visual information data, wherein the step stores the lightning stroke data of each time and the visual information data corresponding to the lightning stroke data.
4. A visual lightning strike monitoring system, comprising:
the first acquisition terminal is used for acquiring lightning stroke data;
the second acquisition terminal is used for acquiring visual information data;
and the main control device is respectively in signal connection with the first acquisition terminal and the second acquisition terminal, receives the lightning stroke data acquired by the first acquisition terminal, processes and analyzes the lightning stroke data to judge whether a lightning stroke alarm signal is formed, and triggers the second acquisition terminal to acquire visual information data including the image data of the shot object according to the lightning stroke alarm signal, processes and analyzes the visual information data, and then generates an operation and maintenance work order information report including the visual information data of the shot object.
5. The visual lightning strike monitoring system of claim 4, characterized in that: and the storage device is used for storing lightning stroke data and visual information data and used for data supply.
6. The visual lightning stroke monitoring system according to claim 4 or 5, wherein the main control device comprises a lightning stroke data processing module, a lightning stroke alarm module, a control module, a visual data processing module and a damage alarm module, wherein the lightning stroke data processing module is used for processing lightning stroke data formed by the first acquisition terminal to acquire the number of times of lightning stroke; the lightning stroke alarming module judges whether a lightning stroke alarming signal is formed or not according to the lightning stroke frequency acquired by the lightning stroke data processing module, if the lightning stroke alarming signal is formed, the lightning stroke alarming signal is input into the control module, the control module triggers the second acquisition module to acquire visual information data containing image data of a struck object when the lightning stroke alarming module outputs the visual information data, the visual information data is transmitted to the visual data processing module to analyze and process the acquired visual information data by using a visual identification algorithm, the state of the struck object subjected to lightning stroke is judged, and a struck object lightning stroke damage report is generated; and the lightning damage report is input into the damage alarm module, the damage alarm module compares the image data in the acquired visual information data with the image data of the shot object in a normal state through an image difference comparison algorithm, judges whether the shot object is damaged or not, generates a damage alarm signal to the control module if the shot object is damaged, and the control module generates an operation and maintenance work order information report comprising the shot object visual information data as an alarm report.
7. A visual lightning stroke monitoring method for a large wind generating set is characterized by comprising the following steps:
step S1: acquiring lightning stroke data, analyzing and processing the acquired lightning stroke data to acquire lightning stroke times, judging whether a lightning stroke alarm signal is formed or not according to the lightning stroke times, executing the step S2 if the lightning stroke alarm signal is formed, and executing the step S1 in a circulating mode if the lightning stroke alarm signal is formed;
step S2: acquiring visual information data including image data of the struck blade, analyzing and processing the visual information data, comparing the image data in the acquired visual information data with the image data of the struck blade in a normal state through an image difference comparison algorithm, judging whether the struck blade is damaged or not, if so, generating an operation and maintenance work order information report including the visual information data of the struck blade, and executing the step S3; otherwise, go to step S1;
step S3: and sending a control instruction to control the wind turbine generator to act so as to safely stop the wind turbine generator.
8. A large-scale wind generating set vision thunderbolt monitoring system which characterized in that, this system includes:
the first acquisition terminal is used for acquiring lightning stroke data;
the second acquisition terminal is used for acquiring visual information data;
the main control device is respectively in signal connection with the first acquisition terminal and the second acquisition terminal, receives lightning stroke data acquired by the first acquisition terminal, processes and analyzes the lightning stroke data to judge whether a lightning stroke alarm signal is formed, and triggers the second acquisition terminal to acquire visual information data including image data of the struck blade according to the lightning stroke alarm signal, processes and analyzes the visual information data, and then generates an operation and maintenance work order information report including the visual information data of the struck blade;
the main control device is connected with the wind turbine generator control system, provides instructions for the wind turbine generator control system when the struck blade is damaged, and controls the wind turbine generator to act after receiving the instructions, so that the wind turbine generator is safely shut down.
9. The visual lightning strike monitoring system of a large wind turbine generator system according to claim 8, characterized in that: and the storage device is used for storing lightning stroke data and visual information data and used for data supply.
10. The visual lightning strike monitoring system for a large wind generating set according to claim 8 or 9, characterized in that: the main control device comprises a lightning stroke data processing module, a lightning stroke alarm module, a control module, a visual data processing module and a damage alarm module, wherein the lightning stroke data processing module is used for processing lightning stroke data formed by the first acquisition terminal and acquiring the number of times of lightning stroke; the lightning stroke alarming module judges whether a lightning stroke alarming signal is formed or not according to the lightning stroke frequency acquired by the lightning stroke data processing module, if the lightning stroke alarming signal is formed, the lightning stroke alarming signal is input into the control module, the control module triggers the second acquisition module to acquire visual information data containing struck blade image data when the lightning stroke alarming module outputs, the visual information data is transmitted to the visual data processing module, the acquired visual information data is analyzed and processed by a visual recognition algorithm, the state of the struck blade after being struck by lightning is judged, and a lightning stroke damage report of the struck blade is generated; and the lightning damage report is input into the damage alarm module, the damage alarm module compares image data in the obtained visual information data with image data of the blade in a normal state through an image difference comparison algorithm, judges whether the struck blade is damaged or not, generates a damage alarm signal to the control module if the struck blade is damaged, and the control module generates an operation and maintenance work order information report comprising the visual information data of the struck object as an alarm report.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110569479.0A CN113417809B (en) | 2021-05-25 | 2021-05-25 | Visual lightning stroke monitoring method and system |
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| CN117934482A (en) * | 2024-03-25 | 2024-04-26 | 云南能源投资股份有限公司 | Lightning probability prediction method, device and equipment for wind turbine and storage medium |
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