CN114278516A - An intelligent monitoring system for wind turbine vibration - Google Patents

Abstract

The present invention provides a wind turbine vibration intelligent monitoring system, including a monitoring system, an early warning system and a processing system, wherein the monitoring system is used to monitor the vibration of each wind turbine; The wind turbines are adjusted according to the vibration conditions; the early warning system is used to send out alarm information according to the received vibration conditions; the invention can perform synchronous monitoring work on multiple groups of wind turbines, and can quickly know its position when a fault occurs, and then send the information to the background. The personnel issue an early warning, so that the background personnel can take corresponding measures in a timely manner, thereby reducing unnecessary economic losses.

Description

An intelligent monitoring system for wind turbine vibration

technical field

The invention relates to the technical field of wind turbines, in particular to an intelligent monitoring system for vibration of wind turbines.

Background technique

Wind energy is a clean and renewable energy source. Using wind energy to generate electricity is an extremely important and potential way of generating electricity. Wind power generation is achieved through wind turbines that can convert wind mechanical energy into electrical energy. Wind turbines mainly include The three parts of the blade, the nacelle and the tower, the gearbox and the generator of the wind turbine are all arranged in the nacelle, and the blades are connected with the generator in the nacelle through the main shaft, so that the blade can drive the generator to generate electricity when it rotates under the action of wind. So as to realize the conversion of wind mechanical energy to electrical energy.

However, after the current wind turbines work for a long time, the wind turbines will vibrate. When the vibration frequency exceeds a certain range, the wind turbines will be prone to failure because they cannot be found in time, resulting in certain economic losses.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide an intelligent monitoring system for vibration of wind turbines, which solves the above deficiencies in the prior art.

In order to achieve the above object, the technical scheme adopted in the present invention is:

An intelligent monitoring system for wind turbine vibration provided by the present invention includes a monitoring system, an early warning system and a processing system, wherein the monitoring system is used to monitor the vibration of each wind turbine; the processing system is used to monitor the vibration of each wind turbine; The wind turbine is adjusted according to the vibration condition; the early warning system is used to send out warning information according to the received vibration condition.

Preferably, the monitoring system includes a parameter processing unit, a data analysis module, a vibration sensor and a GPS positioning module, wherein the vibration sensor is used to collect vibration data of each wind turbine; the GPS positioning module is used to obtain each The location information of the wind turbine; the parameter processing unit is used to provide the frequency threshold corresponding to each wind turbine; the data analysis module is used to compare the received vibration data of each wind turbine with the corresponding frequency threshold, and then judge Vibration of wind turbines.

Preferably, the vibration sensor is mounted on the main shaft of each wind turbine.

Preferably, the parameter processing unit includes a frequency threshold value module, a classification judgment module and an online value adjustment module, wherein the classification judgment module and the online value adjustment module are both connected to the frequency threshold value module; the frequency threshold value module is used to set each The normal frequency range value corresponding to each wind turbine; the classification judgment module is used for judging the corresponding wind turbine type according to the received vibration information; the online value adjustment module is used for the type and working condition of each group of wind turbines. The frequency threshold of the wind turbine is adjusted.

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 end of the vibration sensor and the GPS positioning module.

Preferably, the processing system includes an initial parameter module, a cloud computing module and a control adjustment module, wherein the initial parameter module is used to store the original parameter data of each wind turbine; the cloud computing module is used to calculate the parameter optimization scheme of the wind turbine ; The control adjustment module is used to adjust the working state of the corresponding wind turbine according to the received parameter optimization scheme.

Preferably, the processing system further includes a comparison module, which is configured to compare the parameter data of the faulty wind turbine with the corresponding original parameter data, and transmit the comparison result to the cloud computing module.

Preferably, the processing system further includes 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 beneficial effects of the present invention are:

The invention provides an intelligent monitoring system for the vibration of wind turbines. By setting the monitoring system, when the wind turbine is working, if the vibration of the wind turbine is abnormal, it can be found in time, and multiple groups of wind turbines can be synchronized. Monitoring work, when a fault occurs, it can quickly know its location, and then issue an early warning to the background personnel, so that the background personnel can take corresponding measures in a timely manner, thereby reducing unnecessary economic losses.

Further, when the abnormal vibration of the wind turbine occurs, the parameters of the abnormal wind turbine can be optimized to reduce the harm caused by the abnormal vibration to the wind turbine, thereby ensuring the normal operation of the wind turbine.

In summary, it can be adapted to the monitoring work of different types of wind turbines, with wide applicability and high monitoring accuracy. At the same time, the monitoring system can also be adapted to the vibration monitoring of other equipment, so as to meet the production needs of different enterprises.

Description of drawings

Fig. 1 is the principle block diagram of the present invention;

Fig. 2 is the principle block diagram of the monitoring system of the present invention;

Fig. 3 is the principle block diagram of the early warning system of the present invention;

Fig. 4 is the principle block diagram of the processing system of the present invention;

FIG. 5 is a principle logic block diagram of the present invention.

In the figure: 1, central processing unit; 2, monitoring system; 21, parameter processing unit; 211, frequency threshold module; 212, classification judgment module; 213, online value adjustment module; 22, data analysis module; 23, data acquisition module ; 24, signal amplification module; 25, vibration sensor; 26, GPS positioning module; 3, early warning system; 31, data receiving module; 32, data processing module; 33, time module; 34, early warning module; 35, background terminal; 36. Communication module; 37. Data printing module; 4. Processing system; 41. Initial parameter module; 42. Cloud computing module; 43. Comparison module; 44. Parameter optimization module; 45. Parameter allocation module; 46. Control adjustment module .

Detailed ways

The technical solutions in 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. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Referring to FIG. 1 , a wind turbine vibration intelligent monitoring system provided by the present invention includes 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 to receive the monitoring of the monitoring system 2 . data, and the central processor 1 controls the work of the early warning system 3 and the processing system 4 respectively; the monitoring system 2 is used to monitor the vibration of each wind turbine; the early warning system 3 is used to issue early warning; the processing system 4 is used to monitor the wind turbines. Work conditions are adjusted.

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, wherein the vibration sensor 25 And the GPS positioning module 26 amplifies the monitored data through the signal amplification module 24, and transmits it to the data acquisition module 23; the data acquisition module 23 collects the monitored data; The data is compared and analyzed with the parameters in the parameter processing unit 21 to determine the vibration condition of the wind turbine during operation.

The number of vibration sensors 25 and GPS positioning modules 26 is the same as the number of wind turbines. Each group of wind turbines is equipped with vibration sensors 25 and GPS positioning modules 26. The vibration sensor 25 is installed on the main shaft of the wind turbine for monitoring. Vibration generated when the fan of the wind turbine is working.

The parameter processing unit 21 includes a frequency threshold value module 211, a classification judgment module 212 and an online value adjustment module 213, wherein the classification judgment module 212 and the online value adjustment module 213 are both connected to the frequency threshold value module 211, and the frequency threshold value module 211 is a wind turbine. The effective vibration frequency range value generated during operation; the online value adjustment module 213 adjusts the frequency value of the wind turbine according to the type and working conditions of each group of wind turbines; the classification judgment module 212 is used to determine the type of wind turbines 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, wherein the data receiving module 31 and The time module 33 is connected with 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 background terminal 35 is connected with the data printing module 37.

The data processing module 32 makes the early warning module 34 issue an early warning to the background according to the data received by the data receiving module 31 and the time status of the time module 33, so as to facilitate the relevant personnel in the background to quickly know the abnormal vibration of the wind turbine; the data printing module 37 is used for printing wind power The vibration data monitored by the unit is convenient for personnel to better understand the working conditions of each group of wind turbines.

Referring to FIG. 4, in the embodiment of the present invention, 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 allocation module 45, and a control adjustment module 46, wherein the initial parameter module 41 is respectively connected with the cloud computing module 42 and the comparison module 43; 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 allocation module 45; The 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; the cloud computing module 42 is used to calculate the parameter optimization scheme of the wind turbine; the parameter allocation module 45 distributes the calculated parameter scheme to the corresponding wind turbine; The working state of the wind turbine is adjusted to reduce the loss caused by the vibration of the wind turbine. The control and adjustment module 46 adopts a one-to-many control method to ensure the working efficiency of the control of the wind turbine.

Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

See Figure 5, how it works:

The vibration sensor 25 monitors the vibration of each group of wind turbines, the GPS positioning module 26 locates each group of wind turbines, and the frequency threshold module 211 sets the normal frequency range value of each group of wind turbines, and the online value adjustment module 213 The frequency threshold can be adjusted according to the type and working conditions of the wind turbine. When the vibration sensor 25 monitors, the signal amplification module 24 amplifies its signal to improve the monitoring accuracy, and then the data acquisition module 23 collects the monitored data. The analysis module 22 compares the collected data with the threshold value in the frequency threshold value module 211, and the classification judgment module 212 can judge the type and working condition of the wind turbine that monitors vibration. When the monitored frequency value exceeds the set value in the frequency threshold value module 211 When it is abnormal, otherwise it is normal;

Further, after monitoring the abnormality, the data receiving module 31 receives the abnormal data, the time module 33 can record the specific time when the abnormality occurs, and then the data processing module 32 makes the early warning module 34 issue early warning work, and the early warning module 34 sends the early warning through the communication module 36. The information is sent to the background terminal 35, so that the background personnel can know in time, and according to the positioning situation of the GPS positioning module 26, they can know the specific location of the faulty wind turbine, and the data printing module 37 can print out the monitored data situation. , which is convenient for people to view.

In a further step, the comparison module 43 compares the parameters of the wind turbine after the failure with the initial parameters of the wind turbine. After the comparison, the cloud computing module 42 calculates it, and calculates the optimal solution in the parameter optimization module 44. The parameter allocation module 45 allocates it. After the allocation is completed, the control adjustment module 46 adjusts the working conditions of the wind turbine according to the allocated parameters, reduces the harm caused by abnormal vibration to the wind turbine, and calculates the parameters of the wind turbine after the failure. and the initial parameter value of the wind turbine, determine the abnormal parameter value of the wind turbine, and then calculate the safety parameter value required by the abnormal wind turbine to work, and then assign the safety value to the abnormal wind turbine in turn to ensure the failure of wind power. The unit can operate under safe parameters.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion such that a process, method, article or device comprising a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a 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).

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