CN114593021A - System for monitoring work of wind power generation impeller motor based on cloud service - Google Patents
System for monitoring work of wind power generation impeller motor based on cloud service Download PDFInfo
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- CN114593021A CN114593021A CN202210186418.0A CN202210186418A CN114593021A CN 114593021 A CN114593021 A CN 114593021A CN 202210186418 A CN202210186418 A CN 202210186418A CN 114593021 A CN114593021 A CN 114593021A
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- 238000010248 power generation Methods 0.000 title claims abstract description 87
- 238000012544 monitoring process Methods 0.000 title claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 41
- 238000009434 installation Methods 0.000 claims abstract description 16
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000012423 maintenance Methods 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000013459 approach Methods 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 2
- 238000000034 method Methods 0.000 abstract description 5
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000001932 seasonal effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 230000008929 regeneration Effects 0.000 description 1
- 238000011069 regeneration method Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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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
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- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses a system for monitoring the work of a wind power generation impeller motor based on cloud service, which comprises a cloud server, a signal processing device, a wind power generation management office terminal, a smart phone terminal and a ground meteorological station, wherein the signal processing device, the wind power generation management office terminal, the smart phone terminal and the ground meteorological station are wirelessly connected with the cloud server, and the system comprises: the signal processing device is used for detecting the rotating speed of the wind power generation impeller and a bearing vibration signal of a wind power generation impeller motor and transmitting the signals to the cloud server; the cloud server is used for wirelessly receiving the data of the rotating speed of the wind power generation impeller sent by the signal processing device of each installation area, calculating and analyzing the working data of each wind power generation impeller and monitoring the real-time information of the impeller; the ground meteorological station is internally provided with a wireless communication device, and transmits the actual meteorological data of the region to the cloud server in real time. The invention can detect and process the working state and the exact position of the wind power generation impeller in real time, and is convenient for managers and technicians to operate at any time.
Description
Technical Field
The invention belongs to the technical field of big data and cloud platforms, and particularly relates to a system for monitoring the work of a wind power generation impeller motor based on cloud service.
Background
Among renewable energy sources, wind energy is one of the most commercially viable, energetic and clean energy sources, and is low in cost and inexhaustible. The wind power generation has the advantages of large installed energy increase space, fast cost reduction, cleanness, safety, no decay of regeneration and the like. The wind power generator is very suitable for coastal islands, grassland pasturing areas, mountain areas and plateau areas which are lack of water, fuel and inconvenient in traffic because wind power is preferably used for generating electricity, and is most suitable for the coastal islands, the grassland pasturing areas, the mountain areas and the plateau areas. However, since the wind power generation system is often dispersed, it is not easy to monitor and maintain the impellers of the wind power generation system in time.
Aiming at the phenomenon, Chinese patent with application number 201810342312.9, application date 2018.04.17 discloses a wind power generation system based on cloud server monitoring and a working method thereof. The working photo of the impeller is shot through the infrared athermal image pickup device, and the working photo is sent to the cloud server, so that day and night monitoring of the impeller by the infrared athermal image pickup device is achieved, and the inoperative impeller can be found in time. Although the method can solve the problem of monitoring the impeller in wind power generation to a certain extent, certain defects still exist if the actual situation is considered. If only judging whether the impeller of the wind power generation works, the method of monitoring the impeller day and night by adopting the infrared athermalization camera device highlights the complexity of a monitoring structure, and in the actual work, monitoring the rotating speed of the impeller, the difference of the rotating speed of the impeller in the same installation area and the like, and the monitoring data have important reference values for technicians to know the working state of the impeller of the wind power generation, whether the installation site of the wind power generation device is proper, confirm potential maintenance objects of the wind power generation device and the like.
Disclosure of Invention
The invention aims to provide a system for monitoring the work of a wind power generation impeller motor based on cloud service, which solves a part of problems that the effectiveness and the accuracy of the monitoring operation of the existing wind power generation need to be further improved and optimized.
The technical scheme adopted by the invention is that,
the utility model provides a system for control wind power generation impeller motor work based on cloud, includes cloud ware and wireless connection in cloud ware's signal processing device, wind power generation management office terminal, smart mobile phone terminal and ground meteorological station, and cloud ware is located each installation area administration department computer lab, wherein:
the signal processing device is used for detecting the real-time rotating speed of the wind power generation impeller and wirelessly transmitting the data of the rotating speed of the wind power generation impeller to the cloud server;
the signal processing device is also used for detecting a real-time bearing vibration signal of the wind power generation impeller motor and wirelessly transmitting the bearing vibration signal to the cloud server;
the cloud server is used for wirelessly receiving the data of the rotating speed of the wind power generation impeller sent by the signal processing device of each installation area, and storing, calculating and analyzing the working data of each wind power generation impeller;
the cloud server is used for analyzing the working state of the impeller and monitoring the working of the impeller bearing according to the data of the rotating speed of the wind power generation impeller sent by each signal processing device;
the cloud server is used for analyzing the working state of the impeller bearing and monitoring the working of the bearing according to the vibration data of the wind power generation impeller bearing sent by each signal processing device;
the wind power generation management office terminal and the smart phone terminal are terminals of a cloud server and are in wireless connection with the cloud server;
the ground meteorological station is internally provided with a wireless communication device, and transmits the actual meteorological data of the region to the cloud server in real time.
The present invention is also characterized in that,
the signal processing device comprises a turntable, a Hall sensor, a vibration sensor, a signal processing device and a wireless transmission device, wherein:
the rotating speed of the rotating disc is the same as that of the wind power generation impeller or is in a certain proportion with that of the wind power generation impeller, and a plurality of magnets are uniformly embedded on the rotating disc;
the Hall sensor generates a pulse signal when the turntable rotates along with the wind power generation impeller and intermittently approaches the magnet embedded on the turntable;
the vibration sensor is used for detecting a vibration signal of the wind power generation impeller bearing;
the signal processing device is used for calculating the real-time vibration frequency of the wind power generation impeller bearing according to the signal generated by the vibration sensor;
and the wireless transmitting device is used for wirelessly transmitting the real-time data of the rotating speed of the wind power generation impeller to the cloud server.
The cloud server is used for calculating the rotating speed of the impeller wirelessly sent by the signal processing device to obtain average wind speed data, maximum wind speed data and wind direction data, and analyzing the data: the average wind speed data is an average wind speed value in a fixed time period, the maximum wind speed is an average wind speed value in the maximum one of a plurality of time intervals in the fixed time period, the maximum wind speed is a maximum instantaneous wind speed value in the fixed time period, and the wind direction are statistically analyzed according to sixteen directions.
The cloud server is arranged in a management department machine room of each installation area.
The cloud server is used for storing and analyzing the vibration signals of the bearing of the impeller motor wirelessly transmitted by the signal processing device and extracting the fault characteristics of the bearing of the wind driven generator under the characteristics of strong noise and large wind speed change aiming at the working environment so as to provide maintenance basis data for management departments or technical personnel.
The system for monitoring the work of the wind power generation impeller motor based on the cloud service has the advantages that the system detects the speed of a turntable with the same speed as that of a wind power generation impeller through the Hall sensor, detects the vibration signal of a bearing of the wind power generation impeller motor through the vibration sensor, and transmits the detection result to the cloud server, so that the day and night monitoring of the work condition of the impeller motor is realized, the work state of the wind power generation impeller is comprehensively mastered, the maintenance work of wind power generation faults in the later period of deployment of a management department is facilitated, and the troubles that the wind power generation is far and the faults are difficult to find are solved.
The collected data has important reference value for a management department or a technician to know the working state and the exact position of the wind power generation impeller, whether the installation site of the wind power generation device is proper, and confirm potential maintenance objects of the wind power generation device; meanwhile, the operating states and maintenance tasks of the impellers can be checked and known by arranging various operating terminals, and management personnel and technicians can operate the impellers conveniently at any time.
Drawings
FIG. 1 is a general block diagram of a cloud service based system for monitoring operation of a wind turbine generator according to the present invention;
FIG. 2 is a schematic diagram of a signal detection and transmission structure of a system for monitoring the operation of a wind power generation impeller motor based on cloud service.
In the figure, 100 is a cloud server, 200 is a signal processing device;
201. impeller rotating shaft, 202 magnet, 203 turntable, 204 Hall sensor, 205 vibration sensor, 206 signal processing device, 207 wireless transmission device;
300. wind power generation management office terminal, 400 smart phone terminal, 500 ground weather station.
Detailed Description
The system for monitoring the operation of the wind power generation impeller motor based on the cloud service is described in detail below with reference to the accompanying drawings and the detailed description.
As an embodiment, the present invention provides a system for monitoring the operation of a wind turbine rotor motor based on cloud services, as shown in fig. 1. The application comprises a cloud server 100, a signal processing device 200, a wind power generation management office terminal 300, a smart phone terminal 400, a ground meteorological station 500 and the like, wherein:
as shown in fig. 1, the cloud server 100 is located in a management department machine room of each installation area, and is wirelessly connected to the signal processing device 200, the wind power generation management office terminal 300, the smartphone terminal 400, and the ground weather station 500;
the cloud server 100 is used for wirelessly receiving the rotating speed data of the wind power generation impeller sent by each signal processing device 200 in each installation area and analyzing the working data of each wind power generation impeller;
a cloud server 100 to which a plurality of terminals such as wind power generation management office terminals 300 and smartphone terminals 400 in each installation area are wirelessly connected;
the cloud server 100 analyzes the working state of the impeller according to the wind power generation impeller rotation speed data sent by each signal processing device 200, and monitors the difference of the real-time rotation speed of the impeller, the historical rotation speed of the impeller, the rotation speed of the impeller in the same installation area and the like;
the cloud server 100 analyzes the working state of the impeller bearing, monitors the working of the impeller bearing and the like according to the vibration data of the wind power generation impeller bearing sent by each signal processing device 200;
the signal processing device 200 is used for calculating the real-time rotating speed of the wind power generation impeller according to the pulse generated by the Hall sensor 204;
a signal processing device 200 for calculating the real-time vibration frequency of the wind turbine impeller bearing according to the signal generated by the vibration sensor 205;
the wind power generation management office terminal 300 is one of the plurality of terminals of the cloud server 100, and is wirelessly connected with the cloud server 100;
the smart phone terminal 400 is one of the terminals of the cloud server 100, and is wirelessly connected to the cloud server 100;
the ground meteorological station 500 is internally provided with a wireless communication device and transmits data such as the actual wind speed and direction of an area to the cloud server 100 in real time;
as shown in fig. 2, the system for monitoring the operation of a wind turbine generator based on cloud services of the present invention further includes a signal processing device 200, which is provided with a turntable 203, a hall sensor 204, a vibration sensor 205, a signal processing device 206, a wireless transmission device 207, and the like, wherein:
the rotating disk 203 of the invention has the same rotating speed with the wind power generation impeller (or has the same rotating speed with the wind power generation impeller in a certain proportion), and a plurality of magnets 202 are uniformly embedded on the rotating disk;
the Hall sensor 204 generates a pulse signal when the turntable rotates along with the wind power generation impeller and intermittently approaches the magnet 202 embedded on the turntable;
the proximity distance between the Hall sensor 204 and the magnet on the turntable is less than 10 mm;
a vibration sensor 205 for detecting a vibration signal of the wind turbine impeller bearing;
a signal processing device 206 for calculating the real-time rotation speed of the wind power generation impeller;
the wireless transmitting device 207 is used for wirelessly transmitting the wind power generation impeller rotation speed data to the cloud server 100;
the invention relates to a system for monitoring the work of a wind power generation impeller motor based on cloud service, wherein a cloud server 100 analyzes the average wind speed and direction and the maximum and maximum wind data of 10min each per hour of the impeller rotating speed wirelessly sent by a signal processing device 200; the maximum wind speed is the maximum average wind speed value appearing in one 10min period in each hour, the maximum wind speed is the maximum instantaneous wind speed value appearing in each hour, and the wind direction and the direction are statistically analyzed according to 16 directions. Analyzing daily change of wind speed and monthly, seasonal and annual change, analyzing seasonal change and annual change of wind direction, and accumulating empirical data for developing and building plants, ecological management or wind power generation in other areas;
the cloud server 100 analyzes the vibration signal of the impeller motor bearing wirelessly sent by the signal processing device 200, extracts the fault characteristics of the wind turbine bearing under the characteristics of strong noise and large wind speed change aiming at the working environment, and provides a maintenance basis for management departments or technicians.
The invention relates to a system for monitoring the work of a wind power generation impeller motor based on cloud service; the method comprises the steps that the speed of a turntable with the same speed as that of a wind power generation impeller is detected through a Hall sensor, a vibration signal of a bearing of a wind power generation impeller motor is detected through a vibration sensor, the detected result is transmitted to a cloud server, the cloud server carries out accurate analysis and management on main working parameters of the impeller motor, analyzes the working state of the impeller, and has important reference value for a management department or a technician to know the working state and the exact position of the wind power generation impeller, whether the installation place of a wind power generation device is proper, confirm potential maintenance objects of the wind power generation device and the like; meanwhile, the operating states and maintenance tasks of the impellers can be checked and known by arranging various operating terminals, and management personnel and technicians can operate the impellers conveniently at any time.
Claims (5)
1. The utility model provides a system for control wind power generation impeller motor work based on cloud, its characterized in that includes cloud ware (100) and wireless connection in signal processing device (200), wind power generation management office terminal (300), smart mobile phone terminal (400) and ground meteorological station (500) of cloud ware (100), cloud ware (100) are located each installation region administration department computer lab, wherein:
the signal processing device (200) is used for calculating the real-time rotating speed of the wind power generation impeller according to the pulse generated by the Hall sensor (204);
the signal processing device (200) is used for calculating the real-time vibration frequency of the wind power generation impeller bearing according to the signal generated by the vibration sensor (205);
the cloud server (100) is used for wirelessly receiving the data of the rotating speed of the wind power generation impeller sent by the signal processing device (200) of each installation area and analyzing the working data of each wind power generation impeller;
the cloud server (100) is used for analyzing the working state of the impeller according to the data of the rotating speed of the wind power generation impeller, which are sent by each signal processing device (200), and monitoring the difference between the real-time rotating speed of the impeller, the historical rotating speed of the impeller and the rotating speed of the impeller in the same installation area;
the cloud server (100) is used for analyzing the working state of the impeller bearing and monitoring the working of the impeller bearing according to the vibration data of the wind power generation impeller bearing sent by each signal processing device (200);
the wind power generation management office terminal (300) and the smart phone terminal (400) are terminals of the cloud server (100) and are in wireless connection with the cloud server (100);
the ground meteorological station (500) is internally provided with a wireless communication device, and transmits the actual meteorological data of the region to the cloud server (100) in real time.
2. A cloud service based system for monitoring the operation of a wind power impeller motor according to claim 1, wherein the signal processing means (200) comprises a magnet (202), a turntable (203), a hall sensor (204), a vibration sensor (205), a signal processing means (206) and a wireless transmission means (207), wherein:
the rotating disc (203) has the same rotating speed as the wind power generation impeller or has a certain proportion to the rotating speed of the wind power generation impeller, and a plurality of magnets (202) are uniformly embedded on the rotating disc;
the Hall sensor (204) generates a pulse signal when the turntable rotates along with the wind power generation impeller and intermittently approaches the magnet (202) embedded on the turntable;
the vibration sensor (205) is used for detecting a vibration signal of the fan bearing;
the signal processing device (206) is used for calculating the real-time rotating speed of the wind power generation impeller;
the signal processing device (206) is used for calculating the real-time vibration frequency of the wind power generation impeller bearing;
the wireless transmission device (207) wirelessly transmits data on the rotational speed of the wind power generation impeller to the cloud server (100).
3. The system for monitoring the operation of a wind turbine generator based on cloud services as claimed in claim 1, wherein the cloud server (100) is configured to calculate the impeller rotation speed wirelessly transmitted by the signal processing device (200) to obtain and analyze the average wind speed data, the maximum wind speed data and the maximum wind speed data, and the wind direction data; the average wind speed data is an average wind speed value in a fixed time period, the maximum wind speed is an average wind speed value in the maximum one of a plurality of time intervals in the fixed time period, the maximum wind speed is a maximum real-time wind speed value in the fixed time period, and the wind direction and the azimuth are statistically analyzed according to sixteen azimuths.
4. A system for monitoring operation of a wind turbine generator based on cloud services according to claim 1, wherein the cloud server (100) is located in each installation area management department machine room.
5. The system for monitoring the operation of the wind turbine impeller motor based on the cloud service as claimed in claim 1, wherein the cloud server (100) is configured to analyze the vibration signal of the bearing of the impeller motor wirelessly transmitted by the signal processing device (200) and extract the fault characteristics of the bearing of the wind turbine under the conditions of strong noise and large wind speed variation for the working environment, so as to provide maintenance data for the management department or the technician.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210186418.0A CN114593021A (en) | 2022-02-28 | 2022-02-28 | System for monitoring work of wind power generation impeller motor based on cloud service |
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| CN202210186418.0A CN114593021A (en) | 2022-02-28 | 2022-02-28 | System for monitoring work of wind power generation impeller motor based on cloud service |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110020122A1 (en) * | 2009-07-24 | 2011-01-27 | Honeywell International Inc. | Integrated condition based maintenance system for wind turbines |
| CN105509805A (en) * | 2015-12-05 | 2016-04-20 | 山西大学 | Multifunctional data collection system of wind generating set |
| CN106133309A (en) * | 2014-03-25 | 2016-11-16 | Ntn株式会社 | Condition monitoring system |
| EP3591218A1 (en) * | 2018-07-06 | 2020-01-08 | Vestas Wind Systems A/S | Multi-rotor wind turbine vibration damage protection |
| CN112177863A (en) * | 2020-09-07 | 2021-01-05 | 上海电气风电集团股份有限公司 | Vibration monitoring system, wind power generation system and wind power plant |
-
2022
- 2022-02-28 CN CN202210186418.0A patent/CN114593021A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110020122A1 (en) * | 2009-07-24 | 2011-01-27 | Honeywell International Inc. | Integrated condition based maintenance system for wind turbines |
| CN106133309A (en) * | 2014-03-25 | 2016-11-16 | Ntn株式会社 | Condition monitoring system |
| CN105509805A (en) * | 2015-12-05 | 2016-04-20 | 山西大学 | Multifunctional data collection system of wind generating set |
| EP3591218A1 (en) * | 2018-07-06 | 2020-01-08 | Vestas Wind Systems A/S | Multi-rotor wind turbine vibration damage protection |
| CN112177863A (en) * | 2020-09-07 | 2021-01-05 | 上海电气风电集团股份有限公司 | Vibration monitoring system, wind power generation system and wind power plant |
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