CN114278516A - Intelligent vibration monitoring system for wind turbine generator - Google Patents
Intelligent vibration monitoring system for wind turbine generator Download PDFInfo
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- CN114278516A CN114278516A CN202111648767.1A CN202111648767A CN114278516A CN 114278516 A CN114278516 A CN 114278516A CN 202111648767 A CN202111648767 A CN 202111648767A CN 114278516 A CN114278516 A CN 114278516A
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Abstract
The invention provides an intelligent vibration monitoring system for wind turbine generators, which comprises a monitoring system, an early warning system and a processing system, wherein the monitoring system is used for monitoring the vibration condition of each wind turbine generator; the processing system is used for adjusting the wind turbine generator according to the received vibration condition; the early warning system is used for sending out warning information according to the received vibration condition; the invention can synchronously monitor a plurality of groups of wind turbine generators, can quickly know the positions of the wind turbine generators when a fault occurs, and then sends early warning to background personnel, so that the background personnel can timely take corresponding measures, thereby reducing unnecessary economic loss.
Description
Technical Field
The invention relates to the technical field of wind turbine generators, in particular to an intelligent vibration monitoring system for a wind turbine generator.
Background
The wind power generation is realized by a wind power generation set which can convert wind mechanical energy into electric energy, the wind power generation set mainly comprises three parts, namely a blade, an engine room and a tower drum, a gear box, a generator and the like of the wind power generation set are arranged in the engine room, and the blade is connected with the generator in the engine room through a main shaft so that the blade can drive the generator to generate electricity when rotating under the action of wind power, thereby realizing the conversion from the wind mechanical energy to the electric energy.
However, after the existing wind turbine generator works for a long time, the wind turbine generator vibrates, and when the vibration frequency exceeds a certain range, the wind turbine generator is prone to failure due to the fact that the vibration frequency cannot be found in time, and therefore certain economic loss is caused.
Disclosure of Invention
The invention aims to provide an intelligent vibration monitoring system for a wind turbine generator, which solves the defects in the prior art.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides an intelligent vibration monitoring system for wind turbine generators, which comprises a monitoring system, an early warning system and a processing system, wherein the monitoring system is used for monitoring the vibration condition of each wind turbine generator; the processing system is used for adjusting the wind turbine generator according to the received vibration condition; the early warning system is used for sending out alarm information according to the received vibration condition.
Preferably, the monitoring system comprises a parameter processing unit, a data analysis module, a vibration sensor and a GPS positioning module, wherein the vibration sensor is used for acquiring vibration data of each wind turbine; the GPS positioning module is used for acquiring the position information of each wind turbine; the parameter processing unit is used for providing a frequency threshold corresponding to each wind turbine; the data analysis module is used for comparing the received vibration data of each wind turbine generator with the corresponding frequency threshold value, and then judging the vibration condition of the wind turbine generator.
Preferably, the vibration sensor is mounted on a main shaft on each wind turbine.
Preferably, the parameter processing unit comprises a frequency threshold module, a classification judgment module and an online value adjusting module, wherein the classification judgment module and the online value adjusting module are both connected with the frequency threshold module; the frequency threshold module is used for setting a normal frequency range value corresponding to each wind turbine generator; the classification judgment module is used for judging the corresponding type of the wind turbine generator according to the received vibration information; and the online value adjusting module is used for adjusting the frequency threshold of each wind turbine generator according to the type and the working condition of each group of wind turbine generators.
Preferably, the input end of the data analysis module is connected with a signal amplification module, and the input end of the signal amplification module is respectively connected with the output ends of the vibration sensor and the GPS positioning module.
Preferably, the processing system comprises an initial parameter module, a cloud computing module and a control adjusting module, wherein the initial parameter module is used for storing the original parameter data of each wind turbine; the cloud computing module is used for computing a parameter optimization scheme of the wind turbine generator; and the control adjusting module is used for adjusting the working state of the corresponding wind turbine generator according to the received parameter optimization scheme.
Preferably, the processing system further comprises a comparison module, wherein the comparison module is used for comparing the parameter data of the wind turbine generator with faults with the corresponding original parameter data and transmitting the comparison result to the cloud computing module.
Preferably, the processing system further comprises a parameter allocation module, and the parameter allocation module is arranged between the cloud computing module and the control adjustment module.
Compared with the prior art, the invention has the beneficial effects that:
according to the intelligent monitoring system for the vibration of the wind turbine generator, provided by the invention, when the wind turbine generator works, if the vibration of the wind turbine generator is abnormal, the intelligent monitoring system can find the abnormal vibration in time, can synchronously monitor a plurality of groups of wind turbine generators, can quickly know the position of the abnormal vibration when a fault occurs, and then sends out early warning to background personnel, so that the background personnel can timely make corresponding measures, and thus, the unnecessary economic loss can be reduced.
Furthermore, when the wind turbine generator vibrates abnormally, parameters of the abnormal wind turbine generator can be optimized, and damage to the wind turbine generator caused by abnormal vibration is reduced, so that normal work of the wind turbine generator is guaranteed.
In conclusion, the monitoring system can be suitable for monitoring of wind turbines of different types, is wide in applicability and direction and high in monitoring precision, and meanwhile, the monitoring system can also be suitable for vibration monitoring of other equipment, so that production requirements of different enterprises can be met.
Drawings
FIG. 1 is a functional block diagram of the present invention;
FIG. 2 is a schematic block diagram of the monitoring system of the present invention;
FIG. 3 is a schematic block diagram of the early warning system of the present invention;
FIG. 4 is a functional block diagram of the processing system of the present invention;
fig. 5 is a schematic logic block diagram of the present invention.
In the figure: 1. a central processing unit; 2. a monitoring system; 21. a parameter processing unit; 211. a frequency threshold module; 212. a classification judgment module; 213. an online value adjusting module; 22. a data analysis module; 23. a data acquisition module; 24. a signal amplification module; 25. a vibration sensor; 26. a GPS positioning module; 3. an early warning system; 31. a data receiving module; 32. a data processing module; 33. a time module; 34. an early warning module; 35. a background terminal; 36. a communication module; 37. a data printing module; 4. a processing system; 41. an initial parameter module; 42. a cloud computing module; 43. a comparison module; 44. a parameter optimization module; 45. a parameter allocation module; 46. and controlling an adjusting module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the intelligent monitoring system for vibration of a wind turbine generator provided by the invention comprises a central processing unit 1, a monitoring system 2, an early warning system 3 and a processing system 4, wherein the central processing unit 1 is used for receiving monitoring data of the monitoring system 2, and the central processing unit 1 respectively controls the early warning system 3 and the processing system 4 to work; the monitoring system 2 is used for monitoring the vibration condition of each wind turbine; the early warning system 3 is used for sending out early warning work; the processing system 4 is used for adjusting the working condition of the wind turbine generator.
Referring to fig. 2, in the embodiment of the present invention, the monitoring system 2 includes a parameter processing unit 21, a data analysis module 22, a data acquisition module 23, a signal amplification module 24, a vibration sensor 25, and a GPS positioning module 26, where the vibration sensor 25 and the GPS positioning module 26 amplify the monitored data through the signal amplification module 24, and transmit the amplified data to the data acquisition module 23; the data acquisition module 23 acquires the monitored data; the data analysis module 22 compares and analyzes the data collected by the data collection module 23 with the parameters in the parameter processing unit 21, and determines the vibration condition of the wind turbine generator during operation.
The number of the vibration sensors 25 and the GPS positioning modules 26 is the same as that of the wind turbine generator, each wind turbine generator is provided with the vibration sensor 25 and the GPS positioning module 26, and the vibration sensors 25 are arranged on a main shaft of the wind turbine generator and used for monitoring vibration conditions generated when a fan of the wind turbine generator works.
The parameter processing unit 21 includes a frequency threshold module 211, a classification judgment module 212, and an online tuning module 213, wherein both the classification judgment module 212 and the online tuning module 213 are connected to the frequency threshold module 211, and the frequency threshold module 211 is an effective vibration frequency range value generated when the wind turbine generator works; the online adjusting module 213 adjusts the frequency value of each wind turbine according to the type and working condition of each group of wind turbines; the classification judgment module 212 is used for judging the type of the wind turbine generator for monitoring the vibration information.
Referring to fig. 3, in the embodiment of the present invention, the early warning system 3 includes a data receiving module 31, a data processing module 32, a time module 33, an early warning module 34, a background terminal 35, and a data printing module 37, where the data receiving module 31 and the time module 33 are both connected to the data processing module 32; the data processing module 32 is connected with the early warning module 34; the early warning module 34 is connected with the background terminal 35 through the communication module 36; the backend terminal 35 is connected with a data printing module 37.
The data processing module 32 enables the early warning module 34 to send out early warning to the background according to the data received by the data receiving module 31 and the time condition of the time module 33, so that the background related personnel can know the abnormal vibration condition of the wind turbine generator quickly; the data printing module 37 is used for printing vibration data conditions monitored by the wind turbine generators, and is convenient for personnel to better know the working conditions of the wind turbine generators.
Referring to fig. 4, in the embodiment of the present disclosure, the processing system 4 includes an initial parameter module 41, a cloud computing module 42, a comparison module 43, a parameter optimization module 44, a parameter distribution module 45, and a control adjustment module 46, where the initial parameter module 41 is connected to the cloud computing module 42 and the comparison module 43 respectively; the comparison module 43 is connected with the cloud computing module 42; the cloud computing module 42 is connected with the parameter optimization module 44; the parameter optimization module 44 is connected with the parameter distribution module 45; the parameter distribution module 45 is connected to the control adjustment module 46.
The initial parameter module 41 is the original parameter data of the wind turbine generator; the cloud computing module 42 is used for computing a parameter optimization scheme of the wind turbine generator; the parameter distribution module 45 distributes the calculated parameter scheme to the corresponding wind turbine generator; the control adjusting module 46 adjusts the working state of the wind turbine generator, so that the loss caused by vibration of the wind turbine generator is reduced, and the control adjusting module 46 adopts a one-to-many control mode to ensure the working efficiency of controlling the wind turbine generator.
And those not described in detail in this specification are well within the skill of those in the art.
Referring to fig. 5, the working principle is:
the vibration sensor 25 monitors the vibration condition of each group of wind turbines, the GPS positioning module 26 positions each group of wind turbines, the normal frequency range value of each group of wind turbines is set in the frequency threshold module 211, the online value adjusting module 213 can adjust the frequency threshold according to the type and working condition of the wind turbines, when the vibration sensor 25 monitors, the signal amplifying module 24 amplifies the signal, the monitoring precision is improved, then the data acquisition module 23 acquires the monitored data, the data analysis module 22 compares the acquired data with the threshold value in the frequency threshold module 211, the classification judgment module 212 can judge the type and working condition of the wind turbines monitoring vibration, when the monitored frequency value exceeds the value set in the frequency threshold module 211, the wind turbines monitoring are abnormal, otherwise, the wind turbines are normal;
further, monitor unusual back, data receiving module 31 receives unusual data, time module 33 can take notes the specific time that takes place unusually, then data processing module 32 makes early warning module 34 send out early warning work, early warning module 34 sends early warning information for backend terminal 35 through communication module 36, backstage personnel can be timely know like this, and according to the location condition of GPS orientation module 26, can know the concrete position of the wind turbine generator system that breaks down, and data print module 37 can give the data condition of monitoring and print out, make things convenient for personnel to look over.
Further, the comparison module 43 compares the wind turbine parameters after the fault with the initial parameters of the wind turbine, after the comparison, the cloud computing module 42 computes the parameters, the optimal scheme is computed in the parameter optimization module 44, the post-computation parameter distribution module 45 distributes the parameters, after the distribution is completed, the control adjustment module 46 adjusts the working condition of the wind turbine according to the distributed parameter conditions, the damage to the wind turbine caused by the abnormal vibration is reduced, the wind turbine parameters after the fault and the initial parameters of the wind turbine are computed, the parameter values of the abnormal wind turbine are judged, the safety parameter values of the abnormal wind turbine required to work are computed, the safety values are sequentially distributed to the abnormal wind turbine, and the wind turbine with the fault can operate under the safety parameters.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Claims (8)
1. The intelligent wind turbine generator vibration monitoring system is characterized by comprising a monitoring system (2), an early warning system (3) and a processing system (4), wherein the monitoring system (2) is used for monitoring the vibration condition of each wind turbine generator; the processing system is used for adjusting the wind turbine generator according to the received vibration condition; the early warning system (3) is used for sending out alarm information according to the received vibration condition.
2. The intelligent wind turbine generator vibration monitoring system according to claim 1, wherein the monitoring system (2) comprises a parameter processing unit (21), a data analysis module (22), a vibration sensor (25) and a GPS positioning module (26), wherein the vibration sensor (25) is used for collecting vibration data of each wind turbine generator; the GPS positioning module (26) is used for acquiring the position information of each wind turbine; the parameter processing unit (21) is used for providing a frequency threshold value corresponding to each wind turbine; the data analysis module (22) is used for comparing the received vibration data of each wind turbine generator with the corresponding frequency threshold value, and then judging the vibration condition of the wind turbine generator.
3. An intelligent monitoring system for wind turbine generator vibrations according to claim 2, characterized in that said vibration sensor (25) is mounted on the main shaft of each wind turbine generator.
4. The intelligent monitoring system for the vibration of the wind turbine generator set according to claim 2, wherein the parameter processing unit (21) comprises a frequency threshold module (211), a classification judgment module (212) and an online value adjusting module (213), wherein the classification judgment module (212) and the online value adjusting module (213) are connected with the frequency threshold module (211); the frequency threshold module (211) is used for setting a normal frequency range value corresponding to each wind turbine generator; the classification judgment module (212) is used for judging the corresponding type of the wind turbine generator according to the received vibration information; and the online value adjusting module (213) is used for adjusting the frequency threshold of each wind turbine generator according to the type and the working condition of each wind turbine generator.
5. The intelligent monitoring system for wind turbine generator vibration according to claim 4, wherein the input end of the data analysis module (22) is connected with a signal amplification module (24), and the input end of the signal amplification module (24) is connected with the output ends of the vibration sensor (25) and the GPS positioning module (26), respectively.
6. The intelligent wind turbine generator vibration monitoring system according to claim 1, wherein the processing system (4) comprises an initial parameter module (41), a cloud computing module (42) and a control adjustment module (46), wherein the initial parameter module (41) is used for storing original parameter data of each wind turbine generator; the cloud computing module (42) is used for computing a parameter optimization scheme of the wind turbine generator; and the control adjusting module (46) is used for adjusting the working state of the corresponding wind turbine generator according to the received parameter optimization scheme.
7. The intelligent wind turbine generator vibration monitoring system according to claim 1, wherein the processing system (4) further comprises a comparison module (43), and the comparison module (43) is configured to compare parameter data of a failed wind turbine generator with corresponding original parameter data, and transmit a comparison result to the cloud computing module (42).
8. The system according to claim 1, wherein the processing system (4) further comprises a parameter distribution module (45), and the parameter distribution module (45) is disposed between the cloud computing module (42) and the control adjustment module (46).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111648767.1A CN114278516A (en) | 2021-12-29 | 2021-12-29 | Intelligent vibration monitoring system for wind turbine generator |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111648767.1A CN114278516A (en) | 2021-12-29 | 2021-12-29 | Intelligent vibration monitoring system for wind turbine generator |
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| Publication Number | Publication Date |
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| CN114278516A true CN114278516A (en) | 2022-04-05 |
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| CN202111648767.1A Pending CN114278516A (en) | 2021-12-29 | 2021-12-29 | Intelligent vibration monitoring system for wind turbine generator |
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2021
- 2021-12-29 CN CN202111648767.1A patent/CN114278516A/en active Pending
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