CN106679719A - Fan icing detection device - Google Patents
Fan icing detection device Download PDFInfo
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- CN106679719A CN106679719A CN201611147776.1A CN201611147776A CN106679719A CN 106679719 A CN106679719 A CN 106679719A CN 201611147776 A CN201611147776 A CN 201611147776A CN 106679719 A CN106679719 A CN 106679719A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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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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- General Physics & Mathematics (AREA)
- Control Of Positive-Displacement Air Blowers (AREA)
- Structures Of Non-Positive Displacement Pumps (AREA)
Abstract
The invention discloses a fan icing detection device comprising fan-borne equipment, ground monitoring equipment, and a data processing terminal. The fan-borne equipment comprises multiple noise sensors, an image collector, a humidity sensor, a temperature sensor, and an air pressure sensor. The noise sensors are used for acquiring the size of noise produced by the blades. Through full-range data monitoring and a variety of monitoring methods, effective data processing and analysis is realized comprehensively, the overall judgment accuracy is higher, the overall judgment is more effective, and the result obtained is more accurate.
Description
Technical field
The present invention relates to wind power plant, specifically a kind of blower fan icing detection means.
Background technology
Design of the low temperature factor in many aspect influence blower fans：The rising of atmospheric density is to blower fan under ice and frost and low temperature
It is pneumatic to have more significant influence, and then influence the load and power output of blower fan.Low temperature can cause blade to adhere to larger quality
Ice sheet, so as to the frequency of fan blade can be changed, and then changes its dynamic response behavior.Meanwhile, control system can also be subject to shadow
Ring.The aerodynamic configuration of blade is changed due to freezing, may be shifted to an earlier date or be delayed than expected design so as to result in blade stall.That
The corresponding configuration of electronic or hydraulic vane change control should also change therewith.Blade freezes can cause the detection signal system of blower fan to be sent out
Raw failure is so as to feedback error signal.Limit low temperature needs to change the material of fan section part, such as conventional steel can become
It is crisp.
The security and its security of surrounding environment that blower fan runs in itself can all be influenceed by low temperature or icing.Blower fan
The ice sheet fragment dished out during operation or the berg for dropping may hurt people or the thing near blower fan.Blower fan structure itself
Integrality can also be subject to the uneven or asymmetric influence of icing blade.Changing fan part frequency due to freezing may draw
Resonance is played, can also increase the fatigue load of blower fan.The rising of atmospheric density may increase load and maximum power output.If
Blower fan could not react automatically, and motor or driving-chain may burn out, and gear-box may overload or damage.
The economy of some Wind Power Projects can also be influenceed by low temperature environment, particularly on the potential more ground that freezes
Area.Blower fan project planning is done in these areas, it is necessary to predict the freeze type and cycle that occur, it is necessary to pass through to understand power output
Situation and due to freezing caused by downtime predict the temperature spectrum distribution related to wind regime.If necessary, it is understood that there may be
Current IECI-IV classes wind regime can not cover specific low temperature wind regime, it is necessary to do specifically defined.The blower fan of specific low temperature operating mode may
Specific equipment is needed, heating component is considered if desired in parts such as blade, gear-box, circuit boards, using applicable extremely low temperature
The steel of degree, using the wind vane and anemobiagraph or specific freezing sensor of self-heating.Even need in programming phase and
Economic evaluation clearing consider the particular demands safeguarded and repair under low temperature.Attendant is wanted under low temperature environment will reach certain position
The blower fan put can run into larger difficulty, cause transportation cost higher.Meanwhile, if road prolonged freezing or accumulated snow, can cause
Installation, O＆M cannot be normally carried out so as to influence to generate electricity.
The content of the invention
It is an object of the invention to provide a kind of blower fan icing detection means, with asking for solving to propose in above-mentioned background technology
Topic.
To achieve the above object, the present invention provides following technical scheme：
A kind of blower fan icing detection means, including blower fan airborne equipment, ground monitoring equipment and data processing terminal, its
Middle blower fan airborne equipment is used to obtain fan blade environmental information, and blower fan airborne equipment includes that multiple sensor noises, image are adopted
Storage, humidity sensor, temperature sensor and baroceptor, wherein sensor noise are used to obtain the noise of blade generation
Size, because blade aerodynamic profile is in the case of intact, the level of noise that it is produced is in rational scope, but works as leaf
Piece freezes causes aerodynamic configuration to change, and now the size of blade aerodynamic noise gradually rises, and corresponding audio frequency also gradually rises,
So just can be by level of noise as one of condition for judging to freeze；Image acquisition device is used to obtain blade surface image, is so
The detection that freezes is realized by the way of vision judgement, dark surrounds is not suitable for integrally；Humidity sensor, temperature sensor with
And baroceptor is respectively used to obtain humidity information, temperature information and the pressure information of blade local environment, so passes through
Ice-formation condition come judge whether freeze；The sensor noise, image acquisition device, humidity sensor, temperature sensor and gas
Pressure sensor is all connected with the processor due to data processing, and wherein processor is connected to the data transfer mould of data network transmission
Block, wherein data transmission module are realized and the data communication of data processing terminal by accessing internet；Ground monitoring equipment master
To include that multigroup ceiling of clouds monitors radar, wherein ceiling of clouds monitoring radar is used to monitor ceiling of clouds, and it essentially consists in cloud
Layer height critically important influence for blade icing bad student；Ceiling of clouds monitoring radar data communication connection data processing end
End；Data processing terminal has Duo Tai high in the clouds data analytics server to constitute, and is realized using high in the clouds data analytics server effective
The high frequency operation of data and provide rational data result and speculate, so as to accomplish that significantly more efficient data judge.
As further scheme of the invention：The high in the clouds data analytics server be connected with LED monitoring display screens and
Alarm.
As further scheme of the invention：The data transmission module uses 3G communication modules.
Compared with prior art, the beneficial effects of the invention are as follows：The present invention is used entirely through comprehensive data monitoring
Various monitoring measures, so that the comprehensive effective Treatment Analysis for realizing data, overall judgement precision is higher, overall to judge more
Added with effect, therefore the result for drawing is also more accurate.
Brief description of the drawings
Fig. 1 is a kind of structural representation of blower fan icing detection means of the invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Fig. 1 is referred to, in the embodiment of the present invention, a kind of blower fan icing detection means, including blower fan airborne equipment, ground prison
Measurement equipment and data processing terminal, wherein blower fan airborne equipment are used to obtain fan blade environmental information, blower fan airborne equipment
Including multiple sensor noises 1, image acquisition device 2, humidity sensor 3, temperature sensor 4 and baroceptor 5, wherein making an uproar
Sound sensor 1 is used to obtain the noise level of blade generation, because blade aerodynamic profile is in the case of intact, what it was produced
Level of noise is in rational scope, but causes aerodynamic configuration to change when blade freezes, now the size of blade aerodynamic noise
Gradually rise, and corresponding audio frequency also gradually rises, so just can be by level of noise as one of condition for judging to freeze；Image is adopted
Storage 2 is used to obtain blade surface image, is detected to realize freezing by the way of vision judgement, is not suitable for integrally
Dark surrounds；Humidity sensor 3, temperature sensor 4 and baroceptor 5 are respectively used to obtain the humidity of blade local environment
Information, temperature information and pressure information, so judge whether to freeze by ice-formation condition；The sensor noise 1, image
Collector 2, humidity sensor 3, temperature sensor 4 and baroceptor 5 are all connected with the processor 6 due to data processing, its
Middle processor 6 is connected to the data transmission module 7 of data network transmission, and wherein data transmission module 7 is by accessing internet
Realize the data communication with data processing terminal；Ground monitoring equipment mainly includes that multigroup ceiling of clouds monitors radar 8, its medium cloud
Layer height monitoring radar 8 is used to monitor ceiling of clouds, and it is critically important for blade icing bad student that it essentially consists in ceiling of clouds
Influence；Ceiling of clouds monitoring radar 8 data communication connection data processing terminal；Data processing terminal has the data analysis of Duo Tai high in the clouds
Server 9 is constituted, and is realized the high frequency operation of effective data using high in the clouds data analytics server 9 and is provided rational data
Results presumption, so as to accomplish that significantly more efficient data judge.
The high in the clouds data analytics server 9 is connected with LED monitoring display screens 10 and alarm 11.
The data transmission module 7 uses 3G communication modules.
Operation principle of the invention is：Sensor noise 1 is used to obtain the noise level of blade generation, and level of noise is regarded
Judge one of the condition for freezing, image acquisition device 2 is used to obtain blade surface image, be so by the way of being judged using vision come
The detection that freezes is realized, humidity information then according to blade local environment, temperature information and pressure information are also high including cloud layer
Degree informix realize data processing, using high in the clouds data analytics server 9 realize effective data high frequency operation and to
Go out rational data result to speculate, so as to accomplish that significantly more efficient data judge.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be in other specific forms realized.Therefore, no matter
From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power
Profit requires to be limited rather than described above, it is intended that all in the implication and scope of the equivalency of claim by falling
Change is included in the present invention.Any reference in claim should not be considered as the claim involved by limitation.
Moreover, it will be appreciated that although the present specification is described in terms of embodiments, not each implementation method is only wrapped
Containing an independent technical scheme, this narrating mode of specification is only that for clarity, those skilled in the art should
Specification an as entirety, the technical scheme in each embodiment can also be formed into those skilled in the art through appropriately combined
May be appreciated other embodiment.
Claims (3)
1. a kind of blower fan icing detection means, it is characterised in that at blower fan airborne equipment, ground monitoring equipment and data
Reason terminal, blower fan airborne equipment includes multiple sensor noises, image acquisition device, humidity sensor, temperature sensor and gas
Pressure sensor, wherein sensor noise are used to obtain the noise level of blade generation；Image acquisition device is used to obtain blade surface
Image；Humidity sensor, temperature sensor and baroceptor are respectively used to obtain humidity information, the temperature of blade local environment
Degree information and pressure information, the sensor noise, image acquisition device, humidity sensor, temperature sensor and air pressure transmission
Sensor is all connected with the processor due to data processing, and wherein processor is connected to the data transmission module of data network transmission,
Wherein data transmission module is realized and the data communication of data processing terminal by accessing internet；Ground monitoring equipment is mainly wrapped
Multigroup ceiling of clouds monitoring radar is included, wherein ceiling of clouds monitoring radar is used to monitor ceiling of clouds；Ceiling of clouds monitors radar
Data communication connects data processing terminal；Data processing terminal has Duo Tai high in the clouds data analytics server to constitute.
2. blower fan icing detection means according to claim 1, it is characterised in that the high in the clouds data analytics server connects
It is connected to LED monitoring display screens and alarm.
3. blower fan icing detection means according to claim 1, it is characterised in that the data transmission module is logical using 3G
News module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611147776.1A CN106679719A (en) | 2016-12-13 | 2016-12-13 | Fan icing detection device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611147776.1A CN106679719A (en) | 2016-12-13 | 2016-12-13 | Fan icing detection device |
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| Publication Number | Publication Date |
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| CN106679719A true CN106679719A (en) | 2017-05-17 |
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| CN201611147776.1A Pending CN106679719A (en) | 2016-12-13 | 2016-12-13 | Fan icing detection device |
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| CN (1) | CN106679719A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107642464A (en) * | 2017-09-22 | 2018-01-30 | 中国华能集团公司 | A kind of fan blade icing detection means and detection method |
| CN109322802A (en) * | 2018-09-05 | 2019-02-12 | 许继集团有限公司 | A kind of blade of wind-driven generator icing prediction technique and system |
| WO2019114160A1 (en) * | 2017-12-14 | 2019-06-20 | 北京金风科创风电设备有限公司 | Method and device for predicting ice formation, and model generation method and device |
| CN109973332A (en) * | 2017-12-27 | 2019-07-05 | 浙江中自庆安新能源技术有限公司 | Blade of wind-driven generator icing on-line monitoring method and device |
| CN113958463A (en) * | 2021-10-12 | 2022-01-21 | 深圳前海慧联科技发展有限公司 | Online monitoring method, system and device for fan blade |
| CN117949202A (en) * | 2024-03-26 | 2024-04-30 | 宁津县晟成风电设备有限公司 | Wind driven generator blade detection device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE202006000816U1 (en) * | 2006-01-19 | 2006-03-16 | Repower Systems Ag | Wind energy plant, has evaluating module transmitting control signal to machine controller, if measured wind velocities of anemometers differ from each other around given deviation limiting value for given time period |
| CN102410140A (en) * | 2011-10-13 | 2012-04-11 | 国电联合动力技术有限公司 | Ice load operation optimization control system and method used in wind turbine generator system (WTGS) |
| CN102588223A (en) * | 2012-03-15 | 2012-07-18 | 南京风电科技有限公司 | Wind power generator capable of realizing freezing detection and freezing detecting method of wind power generator |
| CN203161453U (en) * | 2013-03-29 | 2013-08-28 | 中船重工(重庆)海装风电设备有限公司 | Device used for detecting whether wind turbine generator blades are frozen |
| CN105089929A (en) * | 2014-05-21 | 2015-11-25 | 南车株洲电力机车研究所有限公司 | Wind generating set blade icing detection system and method |
| CN105508152A (en) * | 2015-12-31 | 2016-04-20 | 北京金风科创风电设备有限公司 | Blade icing model construction method and icing state monitoring method and device |
-
2016
- 2016-12-13 CN CN201611147776.1A patent/CN106679719A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE202006000816U1 (en) * | 2006-01-19 | 2006-03-16 | Repower Systems Ag | Wind energy plant, has evaluating module transmitting control signal to machine controller, if measured wind velocities of anemometers differ from each other around given deviation limiting value for given time period |
| CN102410140A (en) * | 2011-10-13 | 2012-04-11 | 国电联合动力技术有限公司 | Ice load operation optimization control system and method used in wind turbine generator system (WTGS) |
| CN102588223A (en) * | 2012-03-15 | 2012-07-18 | 南京风电科技有限公司 | Wind power generator capable of realizing freezing detection and freezing detecting method of wind power generator |
| CN203161453U (en) * | 2013-03-29 | 2013-08-28 | 中船重工(重庆)海装风电设备有限公司 | Device used for detecting whether wind turbine generator blades are frozen |
| CN105089929A (en) * | 2014-05-21 | 2015-11-25 | 南车株洲电力机车研究所有限公司 | Wind generating set blade icing detection system and method |
| CN105508152A (en) * | 2015-12-31 | 2016-04-20 | 北京金风科创风电设备有限公司 | Blade icing model construction method and icing state monitoring method and device |
Non-Patent Citations (1)
| Title |
|---|
| 谢金涛 等: "风电机组噪声分析及检测", 《山东电力技术》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107642464A (en) * | 2017-09-22 | 2018-01-30 | 中国华能集团公司 | A kind of fan blade icing detection means and detection method |
| WO2019114160A1 (en) * | 2017-12-14 | 2019-06-20 | 北京金风科创风电设备有限公司 | Method and device for predicting ice formation, and model generation method and device |
| CN109973332A (en) * | 2017-12-27 | 2019-07-05 | 浙江中自庆安新能源技术有限公司 | Blade of wind-driven generator icing on-line monitoring method and device |
| CN109322802A (en) * | 2018-09-05 | 2019-02-12 | 许继集团有限公司 | A kind of blade of wind-driven generator icing prediction technique and system |
| CN113958463A (en) * | 2021-10-12 | 2022-01-21 | 深圳前海慧联科技发展有限公司 | Online monitoring method, system and device for fan blade |
| CN117949202A (en) * | 2024-03-26 | 2024-04-30 | 宁津县晟成风电设备有限公司 | Wind driven generator blade detection device |
| CN117949202B (en) * | 2024-03-26 | 2024-05-28 | 宁津县晟成风电设备有限公司 | Wind driven generator blade detection device |
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Application publication date: 20170517 |