CN111271231A - Onshore wind turbine generator large component audio fault diagnosis system based on industrial looped network - Google Patents
Onshore wind turbine generator large component audio fault diagnosis system based on industrial looped network Download PDFInfo
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- CN111271231A CN111271231A CN202010225780.5A CN202010225780A CN111271231A CN 111271231 A CN111271231 A CN 111271231A CN 202010225780 A CN202010225780 A CN 202010225780A CN 111271231 A CN111271231 A CN 111271231A
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- audio
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- blade
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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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- 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
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
- F03D80/80—Arrangement of components within nacelles or towers
- F03D80/82—Arrangement of components within nacelles or towers of electrical components
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/80—Diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/333—Noise or sound levels
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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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- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention provides an industrial looped network-based onshore wind turbine generator large-component audio fault diagnosis system, which comprises an audio acquisition device, a fan station industrial looped network and a remote server, wherein the audio acquisition device is used for acquiring noise signals of all components of a wind turbine generator and transmitting the acquired noise signals to the remote server through the fan station industrial looped network; the remote server is used for converting the acquired noise signals into data signals of corresponding frequency domains; and comparing the data signal with a fault characteristic signal library file stored in a remote server, and further obtaining the fault problem of each component of the wind turbine generator.
Description
Technical Field
The invention belongs to the technical field of wind power generation, and particularly relates to an audio fault diagnosis system for large components of a land wind turbine generator based on an industrial ring network.
Background
During operation of the wind generating set, the blades, the gear box, the motor, yaw and other equipment generate large noise due to self rotation, friction and the like. Taking the gearbox and blades as an example: during the operation of the gearbox, the gear contact is abnormal due to the abrasion of the gear and poor lubrication, so that the operation noise with different intensity and frequency from the normal state is generated. During the operation of the blade, the abrasion of hard substances such as wind and sand of the blade, the corrosion of corrosive gas to the hard substances, the temperature change and the like can cause the surface layer to be corroded, sand holes, cracks and the like, and the generation of the situations can change the original dynamic characteristics of the blade, thereby causing the noise of different frequency domains. The root cause of the noise is equipment failure caused by equipment abrasion and the like, so that the failure information of the equipment can be indirectly obtained by utilizing audio acquisition and analyzing audio characteristic data of the audio acquisition, and the failure diagnosis is carried out.
At present, wind power plants generally adopt vibration sensors to analyze rotating equipment of wind turbine generators, such as gear boxes, motors and the like, and compare frequency domain and time domain characteristics of vibration signals of the vibration sensors with fault characteristic information accumulated in an expert fault library to analyze fault states of the vibration signals. And for the blade, a visual means is generally adopted. With the development of the technology, there are also technologies for diagnosing the blade state by using ultrasound, an unmanned aerial vehicle image recognition technology, and the like for the blade.
The existing method for analyzing by adopting the vibration sensor needs to be additionally provided with a plurality of contact sensors, increases the equipment investment, and solves the problems of looseness, corrosion and the like of the contact sensors caused by mechanical vibration and corrosive environment of a unit.
Disclosure of Invention
The invention aims to provide an onshore wind turbine generator large-component audio fault diagnosis system based on an industrial looped network, which solves the problem that in the fault diagnosis of the fan blade of the existing wind power plant, a data transmission line needs to be built, and further the cost is high.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides an industrial looped network-based onshore wind turbine generator large-component audio fault diagnosis system, which comprises an audio acquisition device, a fan station industrial looped network and a remote server, wherein the audio acquisition device is used for acquiring noise signals of all components of a wind turbine generator and transmitting the acquired noise signals to the remote server through the fan station industrial looped network; the remote server is used for converting the acquired noise signals into data signals of corresponding frequency domains; and comparing the data signal with a fault characteristic signal library file stored in a remote server, and further obtaining the fault problem of each component of the wind turbine generator.
Preferably, a PLC control cabinet is arranged between the audio acquisition device and the remote server, and a data acquisition card and a memory card are arranged on the PLC control cabinet; the audio acquisition device is used for transmitting acquired noise signals of all parts of the wind turbine generator to the data acquisition card; the data acquisition card is used for converting the received noise signals into digital audio files and storing the digital audio files on the memory card.
Preferably, each wind turbine generator is provided with a PLC control cabinet, and each PLC control cabinet is connected with a fan ring network exchanger; two adjacent fan looped netowrk interchangers link to each other, arrange terminal fan looped netowrk interchanger in and connect fan monitoring system looped netowrk switch, connect remote server through fan monitoring system looped netowrk switch.
Preferably, the audio acquisition device comprises a gear box audio acquisition device, a motor audio acquisition device and a blade audio acquisition device, wherein the gear box audio acquisition device is used for acquiring a noise signal of a gear box of the wind turbine; the motor audio acquisition device is used for acquiring a noise signal of the motor; the blade audio acquisition device is used for acquiring noise signals of the blades.
Preferably, the number of the blade audio acquisition devices is three, and the three blade audio acquisition devices are respectively arranged at the blade root, the middle part of the blade and the blade tip and are used for monitoring noise signals of the blade root, the middle part of the blade and the blade tip.
Preferably, the two motor audio acquisition devices are arranged at the joint of the motor and the gear box connecting shaft and at the rear end of the motor respectively and are arranged at the top of the cabin of the wind turbine generator.
Preferably, the number of the gear box audio acquisition devices is three, the three gear box audio acquisition devices are respectively located at the joint of the gear and the blade transmission shaft, the middle of the gear box and the joint of the gear box and the generator transmission shaft, and the three gear box audio acquisition devices are arranged at the top of the cabin of the wind turbine generator.
Preferably, the audio acquisition device adopts a directional sound sensor; the sampling frequency of the directional sound sensor is 20HZ-20KHZ, the dynamic range of the sampling precision is 33dB-120dB, and the ambient temperature is-20 ℃ to 70 ℃.
Compared with the prior art, the invention has the beneficial effects that:
according to the onshore wind turbine generator large-component audio fault diagnosis system based on the industrial ring network, the corresponding audio acquisition devices are arranged at different positions of the fan, noise signals acquired by the important large-component gear box, the motor and the blades of the fan are recorded, data transmission is completed by using the industrial ring network of the original wind field fan, and audio data are called for the remote server and are analyzed and processed, so that fault diagnosis of the large-component gear box, the motor and the blades of the fan is indirectly performed; the system adopts an audio fault diagnosis technology, and has the advantages of non-contact measurement, simple equipment, high speed, easy measurement of signals, easy discovery of early faults and the like. The problems that a plurality of contact sensors are required to be additionally arranged, the equipment investment is increased, and the contact sensors are loosened and corroded due to mechanical vibration and corrosion environment of a unit in the conventional method for analyzing by adopting a vibration sensor can be solved. The method can be used as an independent diagnosis method or combined with the traditional diagnosis method to diagnose the fault of the large part of the wind turbine, and meanwhile, the industrial looped network is adopted, the original communication facilities of the wind field can be utilized, and only corresponding audio detection equipment is additionally arranged on the basis of not increasing communication equipment to realize the fault diagnosis function of the invention.
Drawings
FIG. 1 is a schematic diagram of an audio acquisition device installation position and signal transmission;
FIG. 2 is a schematic diagram of the structure of an industrial ring network, a remote server and an operation terminal;
the wind turbine generator system comprises a wind turbine generator 1, a gear box audio acquisition device 2, a motor audio acquisition device 3, a blade audio acquisition device 4, a gear box 5, a tower 6, a motor 7, an audio transmission line 8, a PLC control cabinet 9, a data acquisition card 10, a remote server 11, an operation terminal 12, a blade 13 and a fan monitoring system ring network switch.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, the onshore wind turbine generator large component audio fault diagnosis system based on the industrial ring network provided by the invention comprises an audio acquisition device, a data acquisition card, a fan station industrial ring network, a remote server 10 and a remote operation terminal 11, wherein the audio acquisition device is used for acquiring noise signals of each component of the wind turbine generator and transmitting the acquired noise signals to the data acquisition card in the PLC control cabinet through an audio transmission line 7, and the data acquisition card is used for converting the received noise signals into digital audio files; and transmitting the digital audio file to a memory card of the PLC control cabinet.
As shown in fig. 1, the audio acquisition device comprises a gear box audio acquisition device 1, a motor audio acquisition device 2 and a blade audio acquisition device 3, wherein the gear box audio acquisition device 1 is used for acquiring a noise signal of a gear box 4 of a wind turbine generator; the motor audio acquisition device 2 is used for acquiring a noise signal of the motor 6; the blade audio acquisition device 3 is used for acquiring noise signals of the blades 12.
The three blade audio frequency acquisition devices 3 are all installed on the outer wall of the tower drum corresponding to the vertical center line of the tower drum, are respectively located on the horizontal lines of the tower drum at different heights according to different monitoring positions, and are used for respectively monitoring noise signals of the blade root, the middle part of the blade and the blade tip.
The two motor audio acquisition devices 2 are arranged at the top of the cabin of the wind turbine generator and are respectively positioned at the joint of the motor and the gear box connecting shaft and at the rear end of the motor and used for monitoring noise signals at the two positions of the motor.
The three gear box audio acquisition devices 1 are arranged at the top of an engine room of the wind turbine generator, are respectively positioned at the joint of a gear and a blade transmission shaft, the middle of the gear box and the joint of the gear box and a generator transmission shaft, and are used for monitoring noise signals at the three positions of the gear box.
Each wind turbine generator is provided with a PLC control cabinet 8, and each PLC control cabinet 8 is connected with a fan ring network exchanger; the two adjacent fan ring network exchangers are connected, and the fan ring network exchanger arranged at the tail end is connected with a fan monitoring system ring network exchanger, so that a ring network is formed for data transmission; and then the industrial ring network is utilized to transmit the digital audio files stored in the PLC control cabinet storage card to a remote server.
As shown in fig. 2, the industrial ring network of the fan station in this embodiment is an industrial ring network composed of eight (not limited to eight) fans; each fan ring network exchanger introduces two pairs of inlet and outlet transmission lines respectively, the two inlet and outlet transmission lines are connected with the adjacent fan ring network exchangers respectively, and two fans (4#, 8#) nearest to the wind field are connected with the fan monitoring system ring network exchanger 13 respectively, so that a ring network is formed for data transmission.
The remote server is connected with an operation terminal; and the remote server and the operation terminal are not in the wind farm centralized control center.
The remote server is used for converting the received digital audio file into a data signal of a corresponding frequency domain; and comparing the data signal with a fault characteristic signal library file stored in a remote server, and indirectly analyzing to obtain the fault problems of various parts of the fan, such as a gear box, a motor and blades.
The operation terminal is used for manually operating the remote server during the period that the fan stops running.
The audio acquisition device adopts a directional sound sensor; the sampling frequency of the directional sound sensor is 20HZ-20KHZ, the dynamic range of the sampling precision is 33dB-120dB, and the ambient temperature is-20 ℃ to 70 ℃.
The data acquisition card comprises an A/D module, a PCI interface is adopted, and the resolution is 16 bits.
Claims (8)
1. A land wind turbine large component audio fault diagnosis system based on an industrial looped network is characterized by comprising an audio acquisition device, a fan station industrial looped network and a remote server, wherein the audio acquisition device is used for acquiring noise signals of all components of a wind turbine and transmitting the acquired noise signals to the remote server through the fan station industrial looped network; the remote server is used for converting the acquired noise signals into data signals of corresponding frequency domains; and comparing the data signal with a fault characteristic signal library file stored in a remote server, and further obtaining the fault problem of each component of the wind turbine generator.
2. The audio fault diagnosis system for onshore wind turbine generator large components based on industrial ring network as claimed in claim 1, wherein a PLC control cabinet is arranged between the audio acquisition device and the remote server, and a data acquisition card and a memory card are arranged on the PLC control cabinet; the audio acquisition device is used for transmitting acquired noise signals of all parts of the wind turbine generator to the data acquisition card; the data acquisition card is used for converting the received noise signals into digital audio files and storing the digital audio files on the memory card.
3. The industrial ring network based onshore wind turbine large component audio fault diagnosis system as claimed in claim 2, wherein each wind turbine is provided with a PLC control cabinet, and each PLC control cabinet is connected with a fan ring network exchanger; two adjacent fan looped netowrk interchangers link to each other, arrange terminal fan looped netowrk interchanger in and connect fan monitoring system looped netowrk switch, connect remote server through fan monitoring system looped netowrk switch.
4. The audio fault diagnosis system for onshore wind turbine generator large components based on industrial ring network as claimed in claim 1, wherein the audio acquisition device comprises a gear box audio acquisition device, a motor audio acquisition device and a blade audio acquisition device, wherein the gear box audio acquisition device is used for acquiring noise signals of a gear box of the wind turbine generator; the motor audio acquisition device is used for acquiring a noise signal of the motor; the blade audio acquisition device is used for acquiring noise signals of the blades.
5. The audio fault diagnosis system for onshore wind turbine generators based on industrial ring network as claimed in claim 4, wherein there are three blade audio frequency acquisition devices, and the three blade audio frequency acquisition devices are respectively arranged at the blade root, the blade middle and the blade tip for monitoring the noise signals of the blade root, the blade middle and the blade tip.
6. The audio fault diagnosis system for large onshore wind turbine units based on industrial ring network as claimed in claim 4, wherein two audio collection devices are provided, which are respectively arranged at the connection of the motor and the connection shaft of the gear box and at the rear end of the motor, and are arranged on the top of the nacelle of the wind turbine unit.
7. The audio fault diagnosis system for large onshore wind turbine units based on industrial ring network as claimed in claim 4, wherein there are three audio collection devices for gear box, which are respectively located at the connection of gear and blade transmission shaft, the middle of gear box and the connection of gear box and generator transmission shaft, and are placed on the top of the nacelle of wind turbine unit.
8. The industrial ring network based onshore wind turbine large component audio fault diagnosis system as claimed in claim 1, wherein the audio acquisition device adopts a directional sound sensor; the sampling frequency of the directional sound sensor is 20HZ-20KHZ, the dynamic range of the sampling precision is 33dB-120dB, and the ambient temperature is-20 ℃ to 70 ℃.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010225780.5A CN111271231A (en) | 2020-03-26 | 2020-03-26 | Onshore wind turbine generator large component audio fault diagnosis system based on industrial looped network |
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| CN202010225780.5A CN111271231A (en) | 2020-03-26 | 2020-03-26 | Onshore wind turbine generator large component audio fault diagnosis system based on industrial looped network |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113153650A (en) * | 2021-03-12 | 2021-07-23 | 中国大唐集团新能源科学技术研究院有限公司 | Fault monitoring device of wind turbine generator and using method thereof |
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2020
- 2020-03-26 CN CN202010225780.5A patent/CN111271231A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113153650A (en) * | 2021-03-12 | 2021-07-23 | 中国大唐集团新能源科学技术研究院有限公司 | Fault monitoring device of wind turbine generator and using method thereof |
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