CN115478992A - Wind driven generator monitoring method and related equipment - Google Patents
Wind driven generator monitoring method and related equipment Download PDFInfo
- Publication number
- CN115478992A CN115478992A CN202211159653.5A CN202211159653A CN115478992A CN 115478992 A CN115478992 A CN 115478992A CN 202211159653 A CN202211159653 A CN 202211159653A CN 115478992 A CN115478992 A CN 115478992A
- Authority
- CN
- China
- Prior art keywords
- change curve
- wind driven
- preset time
- vibration data
- driven generator
- 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
Images
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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses a method for monitoring a wind driven generator and related equipment, relates to the field of wind power generation, and mainly solves the problem that a method for better combining meteorological data to control the wind driven generator is absent at present. The method comprises the following steps: acquiring a predicted meteorological change curve within first preset time; and acquiring a vibration data change curve of the target wind driven generator within a second preset time based on the vibration sensor, wherein the first preset time comprises the working state of the target wind driven generator determined by the second preset time based on the predicted meteorological change curve and the vibration data change curve. The method is used for the monitoring process of the wind driven generator.
Description
Technical Field
The invention relates to the field of wind power generation, in particular to a wind driven generator monitoring method and related equipment.
Background
With the development of new energy, wind power generation is more and more in energy ratio, and the installed capacity of the whole country continuously breaks through the new height, but the vibration monitoring of the whole wind power generation set is limited to the monitoring in two directions at present, and a better method capable of combining the past meteorological data to control the future operating state of the wind power generation set is still lacked at present.
Disclosure of Invention
In view of the above, the present invention provides a wind turbine monitoring method and related apparatus, and mainly aims to solve the problem of lacking a better method for controlling a wind turbine by combining meteorological data.
In order to solve at least one technical problem, in a first aspect, the present invention provides a wind turbine monitoring method, including:
acquiring a predicted meteorological change curve within first preset time;
acquiring a vibration data change curve of a target wind driven generator within a second preset time based on a vibration sensor, wherein the first preset time comprises the second preset time;
and determining the working state of the target wind driven generator based on the predicted meteorological variation curve and the vibration data variation curve.
Optionally, the method further includes:
acquiring a wind direction rose diagram of the position of the target wind driven generator;
determining a target vibration sensor among a plurality of vibration sensors provided in a body of the target wind turbine based on the wind direction rose diagram;
and acquiring a vibration data change curve of the target wind driven generator based on the target vibration sensor.
Optionally, the determining the operating state of the target wind turbine based on the predicted meteorological variation curve and the vibration data variation curve includes:
when the difference between the weather change data reflected by the weather change curve predicted within the second preset time and the weather change data reflected by the vibration data change curve within the second preset time is less than or equal to a preset difference,
and determining the working state of the target wind driven generator based on the predicted meteorological change curve in the first preset time.
Optionally, the method further includes:
under the condition that the difference value between the predicted weather change curve in the second preset time and the actually-measured weather change curve in the second preset time is smaller than a preset difference value, obtaining the difference value between the weather change data reflected by the predicted weather change curve in the second preset time and the weather change data reflected by the vibration data change curve;
and detecting the fault condition of the target wind driven generator under the condition that the difference value between the meteorological change data reflected by the forecast meteorological change curve and the meteorological change data reflected by the vibration data change curve within the second preset time is greater than a preset difference value.
Optionally, the detecting a fault condition of the target wind turbine generator when a difference between the weather change data reflected by the predicted weather change curve within the second preset time and the weather change data reflected by the vibration data change curve is greater than a preset difference includes:
acquiring vibration data change curves of at least two wind driven generators except the target wind driven generator to determine an average vibration data change curve;
and sending maintenance information to a user under the condition that the vibration data change curve of the target wind driven generator is inconsistent with the average vibration data change curve of the at least two wind driven generators.
Optionally, the method further includes:
under the condition that the vibration data change curve of the target wind driven generator is inconsistent with the average vibration data change curve of the at least two wind driven generators, obtaining the vibration data change curves of all the wind driven generators of the wind driven generator set where the target wind driven generator is located so as to determine a target vibration data change curve;
and determining the working state of the target wind driven generator based on the predicted meteorological change curve and the target vibration data change curve.
Optionally, the obtaining of the vibration data change curve by the vibration sensor includes:
and acquiring a vibration data change curve in a three-dimensional direction through a vibration sensor.
In a second aspect, an embodiment of the present invention further provides a wind turbine monitoring device, including:
the first obtaining unit is used for obtaining a predicted meteorological change curve within first preset time;
the second acquisition unit is used for acquiring a vibration data change curve of the target wind driven generator within a second preset time based on the vibration sensor, wherein the first preset time comprises the second preset time;
and the determining unit is used for determining the working state of the target wind driven generator based on the predicted meteorological change curve and the vibration data change curve.
To achieve the above object, according to a third aspect of the present invention, there is provided a computer readable storage medium comprising a stored program, wherein the steps of the wind turbine monitoring method described above are implemented when the program is executed by a processor.
In order to achieve the above object, according to a fourth aspect of the present invention, there is provided an electronic device comprising at least one processor, and at least one memory connected to the processor; the processor is used for calling the program instructions in the memory and executing the steps of the wind driven generator monitoring method.
By means of the technical scheme, for the problem that a method for better combining meteorological data to control the wind driven generator is absent at present, the wind driven generator monitoring method and the related equipment provided by the invention acquire a predicted meteorological change curve within first preset time; and acquiring a vibration data change curve of the target wind driven generator within a second preset time based on the vibration sensor, wherein the first preset time comprises the second preset time, and the working state of the target wind driven generator is determined based on the predicted meteorological change curve and the vibration data change curve. In the scheme, the method firstly acquires meteorological change data (obtained by prediction) for a period of time, then acquires vibration data (obtained by actual measurement) of the wind driven generator for a period of time, can indirectly determine actual meteorological change based on the vibration data of the wind driven generator obtained by actual measurement, and compares the actual meteorological change with a meteorological change curve obtained by prediction to evaluate the credibility of the meteorological change curve so as to determine whether to adjust the working state of the wind driven generator based on a preset meteorological change curve subsequently.
Accordingly, the wind turbine monitoring device, the wind turbine monitoring equipment and the computer-readable storage medium provided by the embodiment of the invention also have the technical effects.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various additional advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a schematic flow chart illustrating a wind turbine monitoring method according to an embodiment of the present invention;
FIG. 2 is a block diagram illustrating a schematic configuration of a wind turbine monitoring apparatus according to an embodiment of the present invention;
fig. 3 is a block diagram schematically illustrating a wind turbine monitoring electronic device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be 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 scope of the invention to those skilled in the art.
In order to solve the problem that a better method for combining meteorological data to control a wind driven generator is absent at present, an embodiment of the present invention provides a wind driven generator monitoring method, as shown in fig. 1, the method includes:
s101, obtaining a predicted weather change curve within first preset time;
for example, a weather change curve is obtained in a period of time based on a current time period, and the curve can be obtained based on a prediction of a channel such as a weather bureau.
S102, acquiring a vibration data change curve of the target wind driven generator within second preset time based on a vibration sensor, wherein the first preset time comprises the second preset time;
for example, a vibration data change curve of the wind turbine generator over a period of time may be obtained based on the vibration sensor, the vibration data change curve is obtained through actual measurement, and a second preset time for obtaining the vibration data change curve is within a first preset time, for example: and actually measuring a vibration data change curve for half an hour (9 points to 9 points and half) based on 9 points at the current moment, and then acquiring a predicted meteorological change curve for two hours (9 points to 11 points).
S103, determining the working state of the target wind driven generator based on the predicted meteorological change curve and the vibration data change curve.
For example, the determination of which operating state the wind turbine should be controlled in is based on predicted meteorological and vibration data profiles, for example: whether the wind power generator should be shut down or controlled to work normally, etc.
By means of the technical scheme, the wind driven generator monitoring method provided by the invention has the advantages that for the problem that a method for better combining meteorological data to control a wind driven generator is lacked at present, a predicted meteorological change curve in a first preset time is obtained; and acquiring a vibration data change curve of the target wind driven generator within second preset time based on the vibration sensor, wherein the first preset time comprises the second preset time, and the working state of the target wind driven generator is determined based on the predicted meteorological change curve and the vibration data change curve. In the above scheme, the method first obtains the meteorological change data (obtained by prediction) for a period of time, then obtains the vibration data (obtained by actual measurement) of the wind driven generator for a period of time, and can indirectly determine the actual meteorological change based on the vibration data of the wind driven generator obtained by actual measurement, and compare the actual meteorological change with the meteorological change curve obtained by prediction to evaluate the credibility of the meteorological change curve, so as to determine whether to adjust the working state of the wind driven generator based on the preset meteorological change curve subsequently.
In one embodiment, the method further comprises:
acquiring a wind direction rose diagram of the position of the target wind driven generator;
determining a target vibration sensor among a plurality of vibration sensors provided in a body of the target wind turbine based on the wind direction rose diagram;
and acquiring a vibration data change curve of the target wind driven generator based on the target vibration sensor.
For example, the wind direction rose diagram is also called a wind direction frequency rose diagram, and can be drawn according to percentage values of all wind directions which are averaged over years in a certain region and according to a certain proportion, and also can be drawn according to predicted meteorological data prediction.
For example, the method includes the steps that a plurality of vibration sensors are arranged on a body of the wind driven generator, a wind direction rose diagram of the position of a target wind driven generator is obtained to determine data such as wind power and wind direction of the position of the target wind driven generator, and based on the data, which part of the vibration sensors of the body of the target wind driven generator should be started is determined to ensure accuracy of data obtained by the vibration sensors.
In one embodiment, the determining the operating state of the target wind turbine based on the predicted meteorological variation curve and the vibration data variation curve includes:
when the difference between the weather change data reflected by the predicted weather change curve within the second preset time and the weather change data reflected by the vibration data change curve within the second preset time is less than or equal to a preset difference,
and determining the working state of the target wind driven generator based on the predicted meteorological change curve in the first preset time.
For example, if the difference between the weather change data reflected by the predicted weather change curve within the second preset time and the weather change data reflected by the vibration data change curve within the second preset time is less than or equal to the preset difference, it is proved that the predicted weather change curve is credible, and then the working state of the target wind turbine generator can be determined based on the predicted weather change curve within the first preset time. For example: based on the current 9 points, actually measuring the vibration data change curve for half an hour (9 points to 9 points and half), and then acquiring the predicted meteorological change curve for two hours (9 points to 11 points), wherein the meteorological change data reflected by the 9 points to 9 points and half predicted meteorological change data is larger in wind power, the meteorological change data reflected by the vibration data change curve is also larger in wind power, and the data difference value between the two is smaller than or equal to the preset difference value, so that the meteorological change data reflected by the predicted meteorological change curve is proved to have credibility, and after the verification of the vibration data change curve, the working state of the subsequent target wind driven generator can be continuously determined based on the predicted meteorological change curve within the first preset time (9 points to 11 points).
In one embodiment, the method further comprises:
under the condition that the difference value between the predicted meteorological change curve within the second preset time and the actually measured meteorological change curve within the second preset time is smaller than a preset difference value, obtaining the difference value between the meteorological change data reflected by the predicted meteorological change curve within the second preset time and the meteorological change data reflected by the vibration data change curve;
and detecting a fault condition of the target wind turbine generator when a difference between the weather change data reflected by the predicted weather change curve and the weather change data reflected by the vibration data change curve within the second preset time is greater than a preset difference.
For example, if the difference between the weather change data reflected by the weather change curve predicted within the second preset time and the weather change data reflected by the vibration data change curve is greater than the preset difference, and there is a case that the target wind turbine that measures the vibration data change curve has a fault, in this case, the present solution may also detect the fault condition of the target wind turbine (including the target vibration sensor of the target wind turbine), for example: based on the current 9 points, the vibration data change curve of half an hour (9 points to 9 points and half) is actually measured, the predicted meteorological change curve of two hours (9 points to 11 points) is obtained, the meteorological change data reflected by the 9 points to 9 points and half predicted meteorological change data is large in wind power, the meteorological change data reflected by the vibration data change curve is small in wind power, the data difference value between the two is larger than the preset difference value, at the moment, two conditions of the predicted meteorological change curve being unreliable and the target vibration sensor of the target wind driven generator being in fault exist, and in order to prevent the predicted meteorological change curve from being classified as the unreliable condition, the method firstly detects the fault condition of the target vibration sensor of the target wind driven generator to ensure the problem, and the method can also be indirectly used for detecting the fault condition of the target vibration sensor of the target wind driven generator at regular intervals, reduces manual inspection, and can be determined in time if the target vibration sensor has the fault.
In one embodiment, the detecting the fault of the target wind turbine generator when a difference between the weather change data reflected by the predicted weather change curve and the weather change data reflected by the vibration data change curve within the second predetermined time is greater than a predetermined difference includes:
acquiring vibration data change curves of at least two wind power generators except the target wind power generator to determine an average vibration data change curve;
and sending maintenance information to a user when the vibration data change curve of the target wind driven generator is inconsistent with the average vibration data change curve of the at least two wind driven generators.
Illustratively, in order to ensure the accuracy of the detection result, the method obtains the vibration variation data of at least two wind power generators except the target wind power generator, averages the vibration variation data to determine an average vibration data variation curve, and if the average vibration data variation curve is inconsistent with the vibration data variation curve, the target wind power generator can be determined to be actually in fault, so that maintenance information is generated for users, and the target wind power generator is detected while the predicted meteorological variation data is prevented from being eliminated.
In one embodiment, the method further comprises:
under the condition that the vibration data change curve of the target wind driven generator is inconsistent with the average vibration data change curve of the at least two wind driven generators, obtaining vibration data change curves of all wind driven generators of the wind driven generator set where the target wind driven generator is located so as to determine a target vibration data change curve;
and determining the working state of the target wind driven generator based on the predicted meteorological change curve and the target vibration data change curve.
For example, if the vibration data change curve of the target wind turbine generator is inconsistent with the average vibration data change curve of the at least two wind turbine generators, it may be reflected that the vibration curve of the target wind turbine generator has a fault and is not reliable, so to ensure the accuracy of the measurement and comparison result, the method does not separately adopt the vibration data change curve of the target wind turbine generator, but uses the obtained target vibration data change curve determined by the vibration data change curves of all the wind turbine generators of the generator set where the target wind turbine generator is located as a reference, and compares the target vibration data change curve with the predicted meteorological change curve based on the data to determine the subsequent control of the working state of the target wind turbine generator, thereby ensuring the accuracy of the measurement result.
In an embodiment, the obtaining of the vibration data variation curve by the vibration sensor includes:
and acquiring a vibration data change curve in a three-dimensional direction through a vibration sensor.
Exemplarily, a wind generating set is provided with cabin vibration sensors during design so as to monitor the vibration condition of a cabin of the wind generating set, and signals of the vibration sensors are serially connected into a safety chain of an independent control system so as to ensure the safe operation of the set; however, the PCH vibration sensor in the existing running wind turbine generator set only monitors the X direction and the Y direction, and does not monitor the vibration of the whole machine of the engine room in the Z direction, the invention monitors the vibration data of the X direction, the Y direction and the Z direction in real time by adding a Z direction vibration monitoring program into the PCH and upgrading and optimizing a main control system, when the change of the extreme wind speed or the wind direction is fast, when the synthesized vibration acceleration of the X direction, the Y direction and the Z direction is greater than 7m/s < 2 >, the vibration fault of the generator set is triggered, the running state of important parts such as a tower drum, blades and the like of the generator set can be known in time, and when the instantaneous acceleration of the Z direction monitored by the PCH exceeds 4.5m/s < 2 >, the fan can report the fault and stop, and the safe running of the generator set is effectively ensured.
Further, as an implementation of the method shown in fig. 1, an embodiment of the present invention further provides a wind turbine monitoring device, which is used for implementing the method shown in fig. 1. The embodiment of the apparatus corresponds to the embodiment of the method, and for convenience of reading, details in the embodiment of the apparatus are not repeated one by one, but it should be clear that the apparatus in the embodiment can correspondingly implement all the contents in the embodiment of the method. As shown in fig. 2, the apparatus includes: a first acquisition unit 21, a second acquisition unit 22 and a determination unit 23, wherein
The first obtaining unit 21 is configured to obtain a predicted weather change curve within a first preset time;
a second obtaining unit 22, configured to obtain a vibration data variation curve of the target wind turbine within a second preset time based on the vibration sensor, where the first preset time includes the second preset time;
a determining unit 23 for determining the operating state of the target wind turbine generator based on the predicted meteorological variation curve and the vibration data variation curve.
Exemplarily, the above unit is further configured to:
acquiring a wind direction rose diagram of the position of the target wind driven generator;
determining a target vibration sensor among a plurality of vibration sensors provided in a body of the target wind turbine based on the wind direction rose diagram;
and acquiring a vibration data change curve of the target wind driven generator based on the target vibration sensor.
Illustratively, the determining the operating state of the target wind turbine based on the predicted meteorological variation curve and the vibration data variation curve includes:
when the difference between the weather change data reflected by the predicted weather change curve within the second preset time and the weather change data reflected by the vibration data change curve within the second preset time is less than or equal to a preset difference,
and determining the working state of the target wind driven generator based on the predicted meteorological change curve in the first preset time.
Exemplarily, the above unit is further configured to:
under the condition that the difference value between the predicted meteorological change curve within the second preset time and the actually measured meteorological change curve within the second preset time is smaller than a preset difference value, obtaining the difference value between the meteorological change data reflected by the predicted meteorological change curve within the second preset time and the meteorological change data reflected by the vibration data change curve;
and detecting a fault condition of the target wind turbine generator when a difference between the weather change data reflected by the predicted weather change curve and the weather change data reflected by the vibration data change curve within the second preset time is greater than a preset difference.
For example, the detecting the fault condition of the target wind turbine generator when the difference between the weather change data reflected by the predicted weather change curve and the weather change data reflected by the vibration data change curve within the second preset time is greater than a preset difference includes:
acquiring vibration data change curves of at least two wind power generators except the target wind power generator to determine an average vibration data change curve;
and sending maintenance information to a user under the condition that the vibration data change curve of the target wind driven generator is inconsistent with the average vibration data change curve of the at least two wind driven generators.
Exemplarily, the unit is further configured to:
under the condition that the vibration data change curve of the target wind driven generator is inconsistent with the average vibration data change curve of the at least two wind driven generators, obtaining the vibration data change curves of all the wind driven generators of the wind driven generator set where the target wind driven generator is located so as to determine a target vibration data change curve;
and determining the working state of the target wind driven generator based on the predicted meteorological change curve and the target vibration data change curve.
Illustratively, the obtaining of the vibration data variation curve by the vibration sensor includes:
and acquiring a vibration data change curve in a three-dimensional direction through a vibration sensor.
By means of the technical scheme, the wind driven generator monitoring device provided by the invention has the advantages that for the problem that a method for better combining meteorological data to control a wind driven generator is lacked at present, a predicted meteorological change curve in a first preset time is obtained; and acquiring a vibration data change curve of the target wind driven generator within a second preset time based on the vibration sensor, wherein the first preset time comprises the second preset time, and the working state of the target wind driven generator is determined based on the predicted meteorological change curve and the vibration data change curve. In the above scheme, the method first obtains the meteorological change data (obtained by prediction) for a period of time, then obtains the vibration data (obtained by actual measurement) of the wind driven generator for a period of time, and can indirectly determine the actual meteorological change based on the vibration data of the wind driven generator obtained by actual measurement, and compare the actual meteorological change with the meteorological change curve obtained by prediction to evaluate the credibility of the meteorological change curve, so as to determine whether to adjust the working state of the wind driven generator based on the preset meteorological change curve subsequently.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. One or more kernels can be set, the method for monitoring the wind driven generator is realized by adjusting the parameters of the kernels, and the problem that a method for better combining meteorological data to control the wind driven generator is lacked at present can be solved.
An embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a stored program, and the program is executed by a processor to implement the wind turbine monitoring method.
The embodiment of the invention provides a processor, which is used for running a program, wherein the monitoring method of the wind driven generator is executed when the program runs.
The embodiment of the invention provides electronic equipment, which comprises at least one processor and at least one memory connected with the processor; the processor is used for calling the program instructions in the memory and executing the wind driven generator monitoring method
An embodiment of the present invention provides an electronic device 30, as shown in fig. 3, the electronic device includes at least one processor 301, at least one memory 302 connected to the processor, and a bus 303; the processor 301 and the memory 302 complete communication with each other through the bus 303; the processor 301 is configured to call program instructions in the memory to perform the above-described wind turbine monitoring method.
The intelligent electronic device herein may be a PC, PAD, mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a flow management electronic device:
acquiring a predicted meteorological change curve within first preset time;
acquiring a vibration data change curve of a target wind driven generator within second preset time based on a vibration sensor, wherein the first preset time comprises the second preset time;
and determining the working state of the target wind driven generator based on the predicted meteorological variation curve and the vibration data variation curve.
Further, the method further comprises:
acquiring a wind direction rose diagram of the position of the target wind driven generator;
determining a target vibration sensor among a plurality of vibration sensors provided in a body of the target wind turbine based on the wind direction rose diagram;
and acquiring a vibration data change curve of the target wind driven generator based on the target vibration sensor.
Further, the determining the operating state of the target wind turbine based on the predicted meteorological variation curve and the vibration data variation curve includes:
when the difference between the weather change data reflected by the predicted weather change curve within the second preset time and the weather change data reflected by the vibration data change curve within the second preset time is less than or equal to a preset difference,
and determining the working state of the target wind driven generator based on the predicted meteorological change curve in the first preset time.
Further, the method further comprises:
under the condition that the difference value between the predicted weather change curve in the second preset time and the actually-measured weather change curve in the second preset time is smaller than a preset difference value, obtaining the difference value between the weather change data reflected by the predicted weather change curve in the second preset time and the weather change data reflected by the vibration data change curve;
and detecting a fault condition of the target wind turbine generator when a difference between the weather change data reflected by the predicted weather change curve and the weather change data reflected by the vibration data change curve within the second preset time is greater than a preset difference.
Further, the detecting a fault of the target wind turbine when a difference between the weather change data reflected by the predicted weather change curve within the second preset time and the weather change data reflected by the vibration data change curve is greater than a preset difference includes:
acquiring vibration data change curves of at least two wind driven generators except the target wind driven generator to determine an average vibration data change curve;
and sending maintenance information to a user when the vibration data change curve of the target wind driven generator is inconsistent with the average vibration data change curve of the at least two wind driven generators.
Further, the method further comprises:
under the condition that the vibration data change curve of the target wind driven generator is inconsistent with the average vibration data change curve of the at least two wind driven generators, obtaining vibration data change curves of all wind driven generators of the wind driven generator set where the target wind driven generator is located so as to determine a target vibration data change curve;
and determining the working state of the target wind driven generator based on the predicted meteorological change curve and the target vibration data change curve.
Further, the obtaining of the vibration data change curve by the vibration sensor includes:
and acquiring a vibration data change curve in a three-dimensional direction through a vibration sensor.
It should be noted that, in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to relevant descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Embodiments of the present application further provide a computer program product, which includes computer software instructions, when the computer software instructions are executed on a processing device, the processing device is caused to execute the flow of controlling the memory as in the corresponding embodiment of fig. 1.
The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). Computer-readable storage media can be any available media that a computer can store or a data storage device, such as a server, data center, etc., that includes one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), among others.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, which are essential or part of the technical solutions contributing to the prior art, or all or part of the technical solutions, may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A method of monitoring a wind turbine, comprising:
acquiring a predicted meteorological change curve within first preset time;
acquiring a vibration data change curve of a target wind driven generator within a second preset time based on a vibration sensor, wherein the first preset time comprises the second preset time;
and determining the working state of the target wind driven generator based on the predicted meteorological variation curve and the vibration data variation curve.
2. The method of claim 1, further comprising:
acquiring a wind direction rose diagram of the position of the target wind driven generator;
determining a target vibration sensor among a plurality of vibration sensors provided in a body of the target wind turbine based on the wind direction rose diagram;
and acquiring a vibration data change curve of the target wind driven generator based on the target vibration sensor.
3. The method of claim 1, wherein said determining an operating state of a target wind turbine based on said predicted meteorological variation profile and said vibration data variation profile comprises:
when the difference value between the weather change data reflected by the predicted weather change curve in the second preset time and the weather change data reflected by the vibration data change curve in the second preset time is less than or equal to a preset difference value,
and determining the working state of the target wind driven generator based on the predicted meteorological change curve within the first preset time.
4. The method of claim 3, further comprising:
under the condition that the difference value between the predicted meteorological change curve within the second preset time and the actually-measured meteorological change curve within the second preset time is smaller than a preset difference value, obtaining the difference value between the meteorological change data reflected by the predicted meteorological change curve within the second preset time and the meteorological change data reflected by the vibration data change curve;
and detecting the fault condition of the target wind driven generator under the condition that the difference value between the meteorological change data reflected by the predicted meteorological change curve and the meteorological change data reflected by the vibration data change curve in the second preset time is greater than a preset difference value.
5. The method of claim 4, wherein the detecting the fault condition of the target wind turbine generator in the case that the difference between the meteorological change data reflected by the predicted meteorological change curve and the meteorological change data reflected by the vibration data change curve within the second preset time is greater than a preset difference comprises:
obtaining vibration data variation curves of at least two wind power generators except the target wind power generator to determine an average vibration data variation curve;
and sending maintenance information to a user under the condition that the vibration data change curve of the target wind driven generator is inconsistent with the average vibration data change curve of the at least two wind driven generators.
6. The method of claim 5, further comprising:
under the condition that the vibration data change curve of the target wind driven generator is inconsistent with the average vibration data change curve of the at least two wind driven generators, obtaining the vibration data change curves of all the wind driven generators of the wind driven generator set where the target wind driven generator is located so as to determine a target vibration data change curve;
and determining the working state of the target wind driven generator based on the predicted meteorological change curve and the target vibration data change curve.
7. The method of claim 1, wherein the obtaining vibration data profiles via a vibration sensor comprises:
and acquiring a vibration data change curve in a three-dimensional direction through a vibration sensor.
8. A wind driven generator monitoring device is characterized in that,
the first obtaining unit is used for obtaining a predicted meteorological change curve within first preset time;
the second acquisition unit is used for acquiring a vibration data change curve of the target wind driven generator within a second preset time based on the vibration sensor, wherein the first preset time comprises the second preset time;
and the determining unit is used for determining the working state of the target wind driven generator based on the predicted meteorological change curve and the vibration data change curve.
9. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored program, wherein the steps of the wind turbine monitoring method according to any of the claims 1-7 are implemented when the program is executed by a processor.
10. An electronic device, comprising at least one processor, and at least one memory coupled to the processor; wherein the processor is configured to invoke program instructions in the memory to perform the steps of the wind turbine monitoring method according to any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211159653.5A CN115478992A (en) | 2022-09-22 | 2022-09-22 | Wind driven generator monitoring method and related equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211159653.5A CN115478992A (en) | 2022-09-22 | 2022-09-22 | Wind driven generator monitoring method and related equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115478992A true CN115478992A (en) | 2022-12-16 |
Family
ID=84393149
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211159653.5A Pending CN115478992A (en) | 2022-09-22 | 2022-09-22 | Wind driven generator monitoring method and related equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115478992A (en) |
-
2022
- 2022-09-22 CN CN202211159653.5A patent/CN115478992A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3315771B1 (en) | Method, apparatus and system for detecting fatigue state of toothed belt of wind generator set | |
| CN103423085A (en) | Detecting a wake situation in a wind farm | |
| EP2518457B1 (en) | System And Method For Protecting Rotating Machines | |
| CN111997831B (en) | Load control method and device of wind turbine generator | |
| CN108457888A (en) | A kind of server fan fault detection method, apparatus and system | |
| CN115059634B (en) | Fault diagnosis method and device for air blowing equipment and electronic equipment | |
| CN116881096A (en) | Computer fault alarm method and alarm system | |
| CN116345700A (en) | Energy consumption monitoring method and monitoring system for energy storage power station | |
| CN103999316A (en) | Method for generating a signal indicating an oscillation in an electrical energy supply network | |
| CN115478992A (en) | Wind driven generator monitoring method and related equipment | |
| CN115471968A (en) | Cable burglar alarm | |
| CN109270508A (en) | The life detecting method of radar TR component power device | |
| CN109669351B (en) | Multi-mode self-adaptive control method and device for wind turbine generator and computer storage medium | |
| KR20240016353A (en) | Detection methods and related devices for wind power generators | |
| CN113565699A (en) | Pitch angle detection method, device and system of wind generating set | |
| CN112684403A (en) | Fault detection method of intelligent electric meter based on data detection | |
| CN117409553B (en) | Abnormal alarm method and alarm device based on Internet of things | |
| CN113469453B (en) | Elevator evaluation method and elevator evaluation device based on information physical system | |
| CN114116395B (en) | Aging room power supply line power overload protection method, system and device | |
| CN107515312B (en) | Method and system for testing rotating speed detection performance of steam turbine DEH system | |
| CN117650947B (en) | Network flow data safety visual monitoring system based on machine learning | |
| CN115473786A (en) | Intelligent cable dynamic node opening device based on parameter information | |
| CN116007822A (en) | Method and device for monitoring stress of bolt group of generator set, medium and electronic equipment | |
| CN116557223A (en) | Detection method for wind driven generator and related device | |
| CN115857578A (en) | Self-early warning adjustment system and method for temperature abnormity of condensate pump thrust pad |
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 |