CN217384748U - Fault trend diagnosis system for wind power plant group - Google Patents
Fault trend diagnosis system for wind power plant group Download PDFInfo
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- CN217384748U CN217384748U CN202122970942.0U CN202122970942U CN217384748U CN 217384748 U CN217384748 U CN 217384748U CN 202122970942 U CN202122970942 U CN 202122970942U CN 217384748 U CN217384748 U CN 217384748U
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- 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
Abstract
The utility model discloses a fault trend diagnostic system for wind-powered electricity generation field crowd belongs to wind power generation set equipment technical field, including the monitoring module who is used for gathering wind turbine generator system's running state information, including setting up on single wind wheel main shaft top, the biax magnetic resistance sensor of bottom, the setting is at the gear box, the main shaft, the vibration sensor of bearing, the setting is at the tachometric sensor who measures single wind wheel main shaft rotational speed and impeller rotational speed, the setting is at the generator, the temperature sensor of gear box, the control center module is connected with monitoring module including having at least a computer for carry out failure analysis to monitoring module's data and the fault threshold value contrast that sets up in advance. The method has the advantages that the online data monitoring is utilized to carry out fault diagnosis on the condition in the operation process, and the prediction analysis is carried out on the unit operation condition of the whole wind power station group, so that the safety degree and the reliability of the wind power unit are improved, the daily maintenance efficiency of workers is improved, and the daily maintenance cost is reduced.
Description
Technical Field
The utility model belongs to the technical field of wind power generation set equipment, concretely relates to fault trend diagnostic system for wind-powered electricity generation field crowd.
Background
Wind power generation refers to converting kinetic energy of wind into electric energy. Wind energy is a clean and pollution-free renewable energy source and is used by people for a long time, mainly water is pumped and ground through a windmill, and people are interested in how to use wind to generate electricity. The wind power generation is very environment-friendly, the wind energy is huge, and the wind power generation is increasingly valued by all countries in the world, the maintenance technology of the existing wind power generation equipment is immature, the development requirement of a wind generating set can not be met far, the damage of key components such as blades, a gear box, a main shaft and a generator is very common in the running process of the wind generating set, and a major accident that the wind generating set collapses occurs occasionally.
For a wind power plant group, whether equipment of the wind power plant group operates normally or not is directly linked with wind power movement, on one hand, the wind power equipment which operates at a high speed is required to ensure normal supply of electric power, and on the other hand, the wind power equipment which operates at a high speed possibly causes unavoidable faults and damages, so that a fault trend analysis system which can effectively monitor risks possibly occurring in the operation process of the wind power plant group is required, the potential safety hazard of the operation of the equipment of the wind power plant group can be effectively avoided, and the stable and efficient operation of the electric power supply is ensured to the maximum extent.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a failure trend diagnostic system for wind-powered electricity generation field crowd for solve among the prior art can't carry out the system of analysis for staff to wind-powered electricity generation field crowd running state fault trend, provide online real-time supervision, data processing analysis and failure analysis prediction and improve equipment operation safety's function.
A fault trend diagnosis system for a wind power plant group comprises a monitoring module for acquiring running state information of a wind turbine generator, wherein the monitoring module comprises double-shaft magnetoresistive sensors arranged at the top end and the bottom end of a single wind wheel main shaft;
vibration sensors arranged on the gear box, the main shaft and the bearing;
the rotating speed sensor is arranged for measuring the rotating speed of the main shaft and the rotating speed of the impeller of the single wind wheel;
the temperature sensors are arranged on the generator and the gear box;
the control center module comprises at least one computer connected with the monitoring module and used for comparing the data of the monitoring module with a preset fault threshold value for fault analysis;
the storage module comprises at least one network storage server connected with the identification computer module and used for recording historical running state information of each wind turbine generator.
The utility model discloses a further preferred, the control center module is used for the measured data of biax magnetic resistance sensor to calculate vertical axis wind wheel and compares trouble trend and judge at the skew mean square error of main shaft top, bottom, kurtosis and with the trouble threshold value that sets up in advance.
The utility model discloses a further preferred, monitoring module still includes and is connected pressure sensor, vibration sensor, speed sensor with the control center module electricity.
The utility model discloses a further preferred, monitoring module still includes the air velocity transducer, the humidity transducer who are used for measuring the surrounding environment that are connected with the control center module electricity.
The utility model discloses a further preferred still is used for realizing dynamic adjustment balance with correcting the modification of wind wheel main shaft including modifying the module.
The working principle is as follows: the utility model discloses environment and running state information monitoring analysis according to each aerogenerator, carry out contrastive analysis with on-line monitoring's data and the threshold value that sets up in advance through the computer center, its running state information of real-time supervision, information such as the change of monitoring data carries out failure diagnosis to the situation in the operation process, carries out predictive analysis to the unit running condition of whole wind-powered electricity generation field crowd, reaches the diagnostic purpose of trouble trend.
To sum up, owing to adopted above-mentioned technical scheme, the beneficial effects of the utility model are that:
the utility model discloses utilize online data monitoring to carry out failure diagnosis to the situation in the operation process, carry out predictive analysis to the unit operation situation of whole wind-powered electricity generation field crowd and make wind turbine generator system security degree and reliability improve, the life of extension equipment carries out the analysis to the trouble that probably takes place, improves staff's daily maintenance's efficiency, reduces daily maintenance cost to avoid the emergence of potential safety hazard effectively, make staff's work efficiency improve widely.
Drawings
The invention will be described by way of example and with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram of the present invention;
Detailed Description
All of the features disclosed in this specification, or all of the steps in any method or process so disclosed, may be combined in any combination, except combinations of features and/or steps that are mutually exclusive.
In order to make the objects, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail with reference to the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not to be construed as limiting the invention, i.e., the described embodiments are merely a few embodiments, rather than all embodiments, and that all features disclosed in this specification, or all methods or process steps disclosed, may be combined in any suitable manner, except for mutually exclusive features and/or steps.
Thus, the following detailed description of the embodiments of the present invention, presented in the accompanying drawings, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiment of the present invention, all other embodiments obtained by the person skilled in the art without creative work belong to the protection scope of the present invention.
It is noted that relational terms such as the terms "first," "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. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
An object of the utility model is to provide a failure trend diagnostic system for wind-powered electricity generation field crowd for solve among the prior art can't carry out the system of analysis for staff to wind-powered electricity generation field crowd running state fault trend, provide online real-time supervision, data processing analysis and failure analysis prediction and improve equipment operation safety's function.
For a wind power plant group, whether equipment of the wind power plant group operates normally or not is directly linked with wind power movement, on one hand, the wind power equipment which operates at a high speed is required to ensure normal supply of electric power, and on the other hand, the wind power equipment which operates at a high speed possibly causes unavoidable faults and damages, so that a fault trend analysis system which can effectively monitor risks possibly occurring in the operation process of the wind power plant group is required, the potential safety hazard of the operation of the equipment of the wind power plant group can be effectively avoided, and the stable and efficient operation of the electric power supply is ensured to the maximum extent.
A fault trend diagnosis system for a wind power plant group comprises a monitoring module for acquiring running state information of a wind turbine generator, wherein the monitoring module comprises double-shaft magnetoresistive sensors arranged at the top end and the bottom end of a single wind wheel main shaft;
vibration sensors arranged on the gear box, the main shaft and the bearing;
the rotating speed sensor is arranged for measuring the rotating speed of the main shaft and the rotating speed of the impeller of the single wind wheel;
temperature sensors arranged on the generator and the gear box;
the control center module comprises at least one computer connected with the monitoring module and used for comparing the data of the monitoring module with a preset fault threshold value for fault analysis;
the storage module comprises at least one network storage server connected with an identification computer module and used for recording historical running state information of each wind turbine, the control center module is used for calculating the mean square deviation and kurtosis of the vertical axis wind wheel at the top end and the bottom end of the main shaft according to data measured by the double-axis magneto-resistance sensor and comparing the mean square deviation and the kurtosis with a preset fault threshold value to judge fault trends, the monitoring module further comprises a pressure sensor, a vibration sensor and a rotating speed sensor which are electrically connected with the control center module, the monitoring module further comprises a wind speed sensor and a humidity sensor which are electrically connected with the control center module and used for measuring the surrounding environment, and the modification module is used for modifying and correcting the main shaft of the wind wheel to achieve dynamic balance adjustment.
The working principle is as follows: the utility model discloses environment and running state information monitoring analysis according to each aerogenerator, carry out contrastive analysis with on-line monitoring's data and the threshold value that sets up in advance through the computer center, its running state information of real-time supervision, information such as the change of monitoring data carries out failure diagnosis to the situation in the operation process, carries out predictive analysis to the unit running condition of whole wind-powered electricity generation field crowd, reaches the diagnostic purpose of trouble trend.
Although the invention has been described herein with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this invention. More specifically, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the disclosure and claims of this application. In addition to variations and modifications in the component parts and/or arrangements, other uses will also be apparent to those skilled in the art.
Claims (5)
1. A fault trend diagnosis system for a wind power plant group is characterized by comprising a monitoring module for acquiring running state information of a wind turbine generator, wherein the monitoring module comprises double-shaft magnetoresistive sensors arranged at the top end and the bottom end of a single wind wheel main shaft;
vibration sensors arranged on the gear box, the main shaft and the bearing;
the rotating speed sensor is arranged for measuring the rotating speed of the main shaft and the rotating speed of the impeller of the single wind wheel;
temperature sensors arranged on the generator and the gear box;
the control center module comprises at least one computer connected with the monitoring module and used for comparing the data of the monitoring module with a preset fault threshold value for fault analysis;
the storage module comprises at least one network storage server connected with the identification computer module and used for recording historical running state information of each wind turbine generator.
2. The system of claim 1, wherein the control center module is used for calculating the mean deviation and kurtosis of vertical axis wind turbines at the top end and the bottom end of the main shaft according to the data measured by the two-axis magnetoresistive sensors and comparing the calculated mean deviation and kurtosis with a preset fault threshold value to judge the fault trend.
3. The fault trend diagnostic system for a wind farm group of claim 1, wherein the monitoring module further comprises a pressure sensor, a vibration sensor, a rotational speed sensor electrically connected with the control center module.
4. The fault trend diagnostic system for a wind farm group according to claim 1, wherein the monitoring module further comprises a wind speed sensor, a humidity sensor electrically connected to the control center module for measuring ambient environment.
5. The fault trend diagnostic system for a wind farm group according to claim 1, further comprising a modification module for dynamically adjusting the balance of modification and rectification of the main axis of the wind rotor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202122970942.0U CN217384748U (en) | 2021-11-30 | 2021-11-30 | Fault trend diagnosis system for wind power plant group |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202122970942.0U CN217384748U (en) | 2021-11-30 | 2021-11-30 | Fault trend diagnosis system for wind power plant group |
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| Publication Number | Publication Date |
|---|---|
| CN217384748U true CN217384748U (en) | 2022-09-06 |
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| CN202122970942.0U Active CN217384748U (en) | 2021-11-30 | 2021-11-30 | Fault trend diagnosis system for wind power plant group |
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2021
- 2021-11-30 CN CN202122970942.0U patent/CN217384748U/en active Active
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