CN118208373A - Quality maintenance method and related device for wind generating set - Google Patents
Quality maintenance method and related device for wind generating set Download PDFInfo
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- CN118208373A CN118208373A CN202410344652.0A CN202410344652A CN118208373A CN 118208373 A CN118208373 A CN 118208373A CN 202410344652 A CN202410344652 A CN 202410344652A CN 118208373 A CN118208373 A CN 118208373A
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Abstract
The invention discloses a quality maintenance method and a related device for a wind turbine generator, wherein the method comprises the steps of obtaining running data of the wind turbine generator; judging the obtained running data of the wind turbine generator; performing degradation prediction on the judged wind turbine operation data; and maintaining the wind turbine generator according to the degradation prediction result. The running data of the wind turbine generator is collected in real time through the sensor, so that the running state of each part of the wind turbine generator can be mastered in time; and secondly, comparing and judging the collected operation data with the normal data of the operation of the wind turbine, namely accurately positioning the abnormal position of the wind turbine, so that a worker can maintain the wind turbine in time, and economic loss caused by shutdown treatment is avoided.
Description
Technical Field
The invention belongs to the technical field of wind generating sets, and particularly relates to a quality maintenance method and a related device for a wind generating set.
Background
The complex electromechanical equipment represented by the offshore wind turbine generator set has precise structure, high association degree of each stage of links, and extremely complex service environment, and serious safety accidents are extremely easy to occur in the long-term operation process, so that huge economic loss is caused. At present, the quality maintenance of the generator set is carried out by the staff who needs to stop the machine regularly, the maintenance difficulty is large, the time period is long, and the normal production is affected.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides a quality maintenance method and a related device for a wind generating set.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
in a first aspect of the present invention, a method for maintaining quality of a wind turbine generator set is provided, comprising:
acquiring operation data of a wind turbine generator;
judging the obtained running data of the wind turbine generator;
performing degradation prediction on the judged wind turbine operation data;
and maintaining the wind turbine generator according to the degradation prediction result.
Further, the obtaining operation data of the wind turbine specifically includes:
and acquiring and recording the running data of the wind turbine by using the sensor.
Further, the sensor comprises a wind sensor, a temperature sensor, a voltage and current sensor, a vibration sensor and a rotating speed sensor.
Further, the running data of the wind turbine generator specifically comprises wind speed data, generator temperature data, voltage and current data, generator vibration data, and rotational speed data of an input end of the generator, an output end of a gear box and an impeller.
Further, the determining the obtained operation data of the wind turbine generator specifically includes:
Based on the self-adaptive clustering algorithm, carrying out self-adaptive identification on the acquired running data of the wind turbine, comparing the identified data result with the normal state data of the wind turbine, judging whether the data result is abnormal, and giving an alarm if the data result is abnormal.
Further, the degradation prediction of the judged wind turbine operation data specifically includes:
And carrying out degradation prediction on the operation data and the judgment data result of the wind turbine on the basis of a residual life prediction algorithm, and displaying residual life curve information of key components of the wind turbine through a display screen.
Further, the maintenance of the wind turbine generator set according to the degradation prediction result specifically includes:
when the mechanical parts are seriously worn, cleaning and lubricating the surfaces of the key parts regularly, and timely replacing the parts which are seriously worn;
When the electrical element is aged, insulating materials are coated in time, and meanwhile, a protective sleeve is arranged for protection, so that seawater invasion is avoided;
when the foundation structure is loosened, the loose part is fastened by adopting a fastener, and a marker is stuck on the surface of the loose part for prompting.
According to a second aspect of the present invention, there is provided a wind turbine generator set maintenance system comprising:
the data acquisition module is used for acquiring the running data of the wind turbine generator;
the data judging module is used for carrying out abnormal judgment on the acquired running data of the wind turbine generator;
the degradation prediction module is used for comparing the abnormal judgment result of the running data of the wind turbine with the original data of the wind turbine to predict the degradation of the wind turbine;
And the maintenance module is used for making maintenance measures according to the degradation prediction result of the wind turbine generator.
According to a third aspect of the present invention there is provided an electronic device comprising a memory, a processor and a computer program stored in said memory and executable in said processor, said processor implementing the steps of the wind turbine quality maintenance method as described above when said computer program is executed.
According to a fourth aspect of the present invention, there is provided a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of a method of wind turbine quality maintenance as described above.
Compared with the prior art, the invention has the following beneficial effects:
1. The operation state of the wind turbine generator can be mastered in real time by acquiring the operation data of the wind turbine generator, and a key basis for judging whether potential problems exist or not is provided, so that an important basis is provided for subsequent judgment and degradation prediction; and secondly, judging the acquired operation data, and timely finding out possible abnormal conditions of the wind turbine generator in the operation process. And carrying out degradation prediction on the judged operation data, so that future performance and possible problems of the unit can be further predicted. And finally, maintaining the wind turbine generator according to the degradation prediction result, so that the accurate maintenance of the wind turbine generator can be realized. By making a corresponding maintenance plan aiming at the predicted result, necessary maintenance and replacement of components can be carried out before the performance of the unit is not obviously reduced, thereby avoiding faults, improving the reliability and the operation efficiency of the unit, and the preventive maintenance strategy can not only reduce the downtime of the unit, but also reduce the maintenance cost and improve the overall economic benefit.
2. The sensor technology can realize real-time and continuous collection of the running data of the wind turbine generator, ensures timeliness and integrity of the data, is beneficial to timely capturing the running state change of the wind turbine generator, and provides accurate data support for subsequent analysis and maintenance. Secondly, by recording operation data, a historical database of the unit operation can be established, and the historical data can be used for analyzing performance trend, degradation rule, failure mode and the like of the unit.
3. The wind sensor can detect the wind speed in front of the impeller in real time, and provides direct data for the wind energy capturing efficiency of the unit; the temperature sensor can monitor the temperature change of important parts such as a generator and the like and prevent faults caused by overheating; the voltage and current sensor can detect the voltage and current conditions of the electrical system in real time, so that the stable operation of the electrical system is ensured; the vibration sensor can monitor the vibration conditions of key components such as a generator and the like and timely discover potential mechanical faults; the rotating speed sensor can acquire the rotating speed data of the generator input end, the gear box output end and the impeller in real time, and provides important basis for unit performance analysis and fault investigation.
Drawings
For a clearer description of the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for maintaining the quality of a wind generating set;
fig. 2 is a schematic diagram of a maintenance system for a wind turbine generator system according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the embodiments of the present invention, it should be noted that, if the terms "upper," "lower," "horizontal," "inner," and the like indicate an azimuth or a positional relationship based on the azimuth or the positional relationship shown in the drawings, or the azimuth or the positional relationship in which the inventive product is conventionally put in use, it is merely for convenience of describing the present invention and simplifying the description, and does not indicate or imply that the apparatus or element to be referred to must have a specific azimuth, be configured and operated in a specific azimuth, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
Furthermore, the term "horizontal" if present does not mean that the component is required to be absolutely horizontal, but may be slightly inclined. As "horizontal" merely means that its direction is more horizontal than "vertical", and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the embodiments of the present invention, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" should be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
The invention is described in further detail below with reference to the attached drawing figures:
The embodiment provides a quality maintenance method and a related device for a wind generating set.
As shown in fig. 1, in a first aspect, an embodiment of the present invention provides a method for maintaining quality of a wind generating set, including:
S101, acquiring operation data of a wind turbine generator; and installing the sensor on the wind turbine, and acquiring and recording the running data of the wind turbine by using the sensor. Exemplary sensors include wind sensors, temperature sensors, voltage-current sensors, vibration sensors, and rotational speed sensors; the wind turbine generator set operation data specifically comprises wind speed data, generator temperature data, voltage and current data, generator vibration data, and rotation speed data of a generator input end, a gear box output end and an impeller; the wind sensor is used for detecting the front wind speed of the impeller; the temperature sensor is used for the temperature of the generator; the voltage and current sensor is used for detecting an electric system of the wind generating set; the vibration sensor is used for detecting the vibration of the generator; the rotating speed sensor is used for detecting the rotating speeds of the generator input end, the gear box output end and the impeller; the installation of various sensors can realize real-time and continuous collection of the running data of the wind turbine generator, ensure timeliness and integrity of the data, facilitate timely capturing of running state changes of the wind turbine generator, and provide accurate data support for subsequent analysis and maintenance.
S102, judging the acquired operation data of the wind turbine generator; the method comprises the steps of carrying out self-adaptive identification on acquired running data of the wind turbine on the basis of a self-adaptive clustering algorithm, comparing an identified data result with normal state data of the wind turbine, judging whether the data result is abnormal, and giving an alarm if the data result is abnormal. The self-adaptive clustering algorithm can automatically cluster according to the distribution characteristics of the data, so that the normal mode of the running data of the wind turbine generator can be more accurately identified, and compared with a preset threshold value or a fixed mode, the self-adaptive method can be more suitable for various changes in the running process of the wind turbine generator, and the possibility of false alarm and missing alarm is reduced. By acquiring the running data of the wind turbine generator in real time and carrying out self-adaptive identification, abnormal states can be found in time, so that countermeasures can be rapidly taken, and the fault expansion or larger loss can be avoided. And secondly, through acquiring the operation data of the wind turbine generator in real time and carrying out self-adaptive identification, the abnormal state can be found in time, so that countermeasures can be rapidly taken, and the fault expansion or larger loss is avoided. Finally, through automatic data analysis and anomaly detection, the frequency and the intensity of manual inspection can be reduced, and the operation and maintenance cost is reduced; meanwhile, the accurate fault location can also reduce maintenance time and labor investment.
S103, carrying out degradation prediction on the judged wind turbine running data, wherein the method specifically comprises the following steps of:
And carrying out degradation prediction on the operation data and the judgment data result of the wind turbine on the basis of a residual life prediction algorithm, and displaying residual life curve information of key components of the wind turbine through a display screen. By predicting the residual life of key components of the wind turbine generator, a more accurate preventive maintenance plan can be formulated, so that maintenance or replacement can be performed in advance before obvious degradation of the performance of the components occurs, unplanned shutdown is avoided, and the operational reliability of a wind power plant is improved. In addition, the residual life prediction information is helpful for reasonably arranging maintenance resources, such as personnel, spare parts, maintenance tools and the like, and by knowing which parts are close to the service life of the parts in advance, the required resources can be obtained in time when the required resources are needed, and maintenance delay caused by insufficient resources is reduced. The residual life curve information on the display screen provides visual data support for wind farm management staff, and can be used as an important reference basis when a certain part is replaced or upgraded.
S104, maintaining the wind turbine generator according to the degradation prediction result, wherein the method specifically comprises the following steps:
When the mechanical parts are seriously worn, cleaning and lubricating the surfaces of the key parts regularly, and timely replacing the parts which are seriously worn; the accumulated dirt and impurities can be removed by cleaning and lubricating the surfaces of the key components, friction and abrasion are reduced, and therefore the service life of the components is prolonged, stable operation of the wind turbine generator is guaranteed, and the probability of fault occurrence is reduced. Meanwhile, the original performance of the equipment can be recovered by timely replacing parts with serious abrasion, and the running of the wind turbine generator set in the optimal state is ensured.
When the electrical element is aged, insulating materials are coated in time, and meanwhile, a protective sleeve is arranged for protection, so that seawater invasion is avoided; the aging of the electrical element is often accompanied with the reduction of the insulation performance, the risks of electrical faults and short circuits are increased, the insulation performance of the element can be recovered or improved by coating the insulation material, and the current leakage and electric shock accidents are effectively prevented. Meanwhile, the installation protective sleeve can further isolate the electric element from the external environment, reduce electric faults caused by external factors and improve the electric safety of the whole system. For offshore wind farms, the electrical elements are severely threatened by seawater corrosion, the aging and damage of the electrical elements can be accelerated by salt and other corrosive substances in the seawater, and the installation of the protective sleeve can effectively isolate the electrical elements from direct contact with the seawater, so that the corrosion of the seawater is avoided, and the service life of the electrical elements is prolonged.
When the foundation structure is loosened, the loose part is fastened by adopting a fastener, and a marker is stuck on the surface of the loose part for prompting. The fastening part is fastened by the fastening piece, so that the stability and the firmness of the foundation structure can be effectively recovered, equipment faults or safety accidents caused by loosening of the structure can be prevented, and the normal operation of the wind turbine generator can be ensured. The identifier is stuck to the loose part after fastening, the processed position can be intuitively identified, the operation and maintenance personnel can conveniently conduct fault investigation and maintenance, repeated work and misoperation are reduced, the maintenance efficiency is improved, and finally, the operation and maintenance personnel and other related personnel can be reminded of paying attention to the structural state of the part by the identifier, and the safety consciousness of the operation and maintenance personnel is enhanced.
As shown in fig. 2, in a second aspect of the present embodiment, there is provided a maintenance system for a wind turbine generator set, including:
the data acquisition module is used for acquiring the running data of the wind turbine generator;
the data judging module is used for carrying out abnormal judgment on the acquired running data of the wind turbine generator;
the degradation prediction module is used for comparing the abnormal judgment result of the running data of the wind turbine with the original data of the wind turbine to predict the degradation of the wind turbine;
And the maintenance module is used for making maintenance measures according to the degradation prediction result of the wind turbine generator.
In a third aspect of the present embodiment, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable in the processor, where the processor implements the steps of the wind turbine quality maintenance method as described above when the processor executes the computer program.
In a fourth aspect of the present embodiment, a computer readable storage medium is provided, which stores a computer program, which when executed by a processor, implements the steps of a wind turbine quality maintenance method as described above.
The above examples are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above examples, and any other changes, modifications, substitutions, combinations, and simplifications that do not depart from the spirit and principle of the present invention should be made in the equivalent manner, and the embodiments are included in the protection scope of the present invention.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. 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 processor, 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.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method of maintaining the quality of a wind turbine generator set, comprising:
acquiring operation data of a wind turbine generator;
judging the obtained running data of the wind turbine generator;
performing degradation prediction on the judged wind turbine operation data;
and maintaining the wind turbine generator according to the degradation prediction result.
2. The maintenance method according to claim 1, wherein the obtaining operation data of the wind turbine unit specifically includes:
and acquiring and recording the running data of the wind turbine by using the sensor.
3. The maintenance method according to claim 2, wherein the sensor includes a wind sensor, a temperature sensor, a voltage-current sensor, a vibration sensor, and a rotation speed sensor.
4. The maintenance method according to claim 2, wherein the wind turbine generator operation data comprises in particular wind speed data, generator temperature data, voltage current data, generator vibration data and generator input, gearbox output and rotational speed data of the impeller.
5. The maintenance method according to claim 1, wherein the determining the obtained operation data of the wind turbine includes:
Based on the self-adaptive clustering algorithm, carrying out self-adaptive identification on the acquired running data of the wind turbine, comparing the identified data result with the normal state data of the wind turbine, judging whether the data result is abnormal, and giving an alarm if the data result is abnormal.
6. The maintenance method according to claim 1, wherein the degradation prediction of the determined wind turbine operation data specifically includes:
And carrying out degradation prediction on the operation data and the judgment data result of the wind turbine on the basis of a residual life prediction algorithm, and displaying residual life curve information of key components of the wind turbine through a display screen.
7. The maintenance method according to claim 1, wherein the maintenance of the wind turbine generator according to the degradation prediction result specifically includes:
when the mechanical parts are seriously worn, cleaning and lubricating the surfaces of the key parts regularly, and timely replacing the parts which are seriously worn;
When the electrical element is aged, insulating materials are coated in time, and meanwhile, a protective sleeve is arranged for protection, so that seawater invasion is avoided;
when the foundation structure is loosened, the loose part is fastened by adopting a fastener, and a marker is stuck on the surface of the loose part for prompting.
8. A wind turbine maintenance system, comprising:
the data acquisition module is used for acquiring the running data of the wind turbine generator;
the data judging module is used for carrying out abnormal judgment on the acquired running data of the wind turbine generator;
the degradation prediction module is used for comparing the abnormal judgment result of the running data of the wind turbine with the original data of the wind turbine to predict the degradation of the wind turbine;
And the maintenance module is used for making maintenance measures according to the degradation prediction result of the wind turbine generator.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and operable in the processor, the processor implementing the steps of a method for maintaining the quality of a wind turbine according to any one of claims 1 to 7 when the computer program is executed by the processor.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, implements the steps of a method for maintaining the quality of a wind turbine according to any of claims 1-7.
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| CN202410344652.0A CN118208373A (en) | 2024-03-25 | 2024-03-25 | Quality maintenance method and related device for wind generating set |
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| CN202410344652.0A CN118208373A (en) | 2024-03-25 | 2024-03-25 | Quality maintenance method and related device for wind generating set |
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