CN110243830A - A kind of wind power generation unit blade surface defects detection system and detection method - Google Patents
A kind of wind power generation unit blade surface defects detection system and detection method Download PDFInfo
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- CN110243830A CN110243830A CN201910181509.3A CN201910181509A CN110243830A CN 110243830 A CN110243830 A CN 110243830A CN 201910181509 A CN201910181509 A CN 201910181509A CN 110243830 A CN110243830 A CN 110243830A
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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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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30164—Workpiece; Machine component
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Abstract
The present invention relates to a kind of wind power generation unit blade surface defects detection system and detection methods, belong to wind-powered electricity generation field of fault detection.The present invention includes the imaging array device of defect for identification, whole visual field range whether is full of for locating blades and assists the oriented array device of adjustment imaging array apparatus shooting angle, image processing server, array control device, the communications cable and AC power source；The imaging array device is connect with oriented array device, and described image processing server is connect with array control device, and the oriented array device passes through the communications cable with array control device and connect with AC power source.
Description
Technical field
The present invention relates to a kind of wind power generation unit blade surface defects detection system and detection methods, belong to wind-powered electricity generation fault detection
Field.
Background technique
In recent years, the utilization that global renewable energy utilization annual growth reaches 25%. renewable energy will be with power industry
Be it is leading, the power generation ratio of non-waterpower renewable energy renewable energy renewable energy in a steady stream will be enlarged by twice.According to statistics, the year two thousand thirty
The consumption of renewable energy will be more than 2,200,000,000 t oil equivalents.Wind power generation one kind most mature as the technology in addition to hydroelectric generation can
Renewable source of energy generation, installed capacity account for entire renewable energy power generation and install the overwhelming majority of total appearance person.But power electronics
The limitation of device performance, development and application to large capacity Wind turbines cause certain bottleneck.
With the further development of the power electronic devices and energy storage equipment of big function string, wind-power electricity generation in gross investment or
It can mutually be competed with conventional energy resource in power generation expense, wind generating technology can also obtain bigger development.
In view of this, disclosing a kind of wind power generating set leaf in the patent document application No. is 201810052136.5
Piece surface defect intelligent checking system, including camera system, programmable software detection system and communication system, camera system include
Bracket and photographic device, regulating device include pitch angle regulator and level governor, programmable software detection system include according to
Image capture module, image analysis and the screening module of secondary connection, image classification module, image filtering module, image procossing mould
Block, defect recognition module calculate defective locations and geometrical characteristic information module, defect analysis suggestion module and output defects detection
Reporting modules.
There is presently no carry out correlative study for wind power generation unit blade surface defects detection system and method.
Summary of the invention
It is an object of the invention to overcome the above deficiencies in the existing technologies, and provide a kind of reasonable in design
Wind power generation unit blade surface defects detection system and detection method.
Technical solution used by the present invention solves the above problems is: the wind power generation unit blade surface defects detection system,
Its design feature is: whether the imaging array device including defect for identification is full of whole visual field model for locating blades
The oriented array device for enclosing and assisting adjustment that array apparatus shooting angle is imaged, image processing server, array control device,
The communications cable and AC power source；The imaging array device is connect with oriented array device, described image processing server and battle array
The connection of column control device, the oriented array device pass through the communications cable with array control device and connect with AC power source.
Further, the length of the communications cable is 100 meters.
Further, another technical purpose of the invention is to provide a kind of wind power generation unit blade surface defects detection system
The detection method of system.
Above-mentioned technical purpose of the invention technical scheme is that.
A kind of detection method of wind power generation unit blade surface defects detection system, it is characterized in that: the detection method step
It is rapid as follows:
Step 1: placing wind power generation unit blade surface defects detection system below blower；
Step 2: adjustment holder, so that blade is within the scope of array；
Step 3: controlling the revolving speed of blower；
Step 4: fan blade is numbered in control fan blade rotation；
Step 5: in array control device input blade number, waiting blade and ground level, start to detect；
Step 6: shooting remaining two blade；
Step 7: 180 ° of rotary generator cabin, confirming testing conditions；
Step 8: repeating the above steps, shoot blade another side；
Step 9:AI recognizes positioning automatically, exports detection data；
Step 10: forming report；
Terminate.
Further, detection method takes AI software, is directed to what machine vision was developed based on artificial intelligence deep learning
Software is able to carry out the mode of self study without programming to train.
Compared with prior art, the invention has the following advantages that
1, structure is simple, system compact, practical, is suitble to wind-powered electricity generation industry to use, has operability, in practice it has proved that is a kind of
Good method.
2, have science, have chosen the index that can accurately reflect wind power generation unit blade actual conditions, have comprehensive, general
Including property, it is comprehensive and accuracy the features such as.
3, have many advantages, such as that high sensitivity, calculating speed are fast, visual result is vivid.
4, strong operability, on the basis of considering scientific, index is reasonable, and initial data facilitates acquisition, has
Operability.
5, comparativity is strong.
6, guide property is strong, quantitative statistics, can provide data for scientific research.
7, there is broad applicability.
Detailed description of the invention
Fig. 1 is the theory structure schematic diagram of the wind power generation unit blade surface defects detection system of the embodiment of the present invention.
Fig. 2 is the flowage structure schematic diagram of the wind power generation unit blade surface defects detection system of the embodiment of the present invention.
In figure: imaging array device 1, oriented array device 2, image processing server 3, array control device 4, communication line
Cable 5, AC power source 6.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawing and by embodiment, and following embodiment is to this hair
Bright explanation and the invention is not limited to following embodiments.
Embodiment.
Referring to shown in Fig. 1 to Fig. 2, it should however be clear that this specification structure depicted in this specification institute accompanying drawings, ratio, size etc. are only used
To cooperate the revealed content of specification, so that those skilled in the art understands and reads, being not intended to limit the invention can
The qualifications of implementation, therefore do not have technical essential meaning, the tune of the modification of any structure, the change of proportionate relationship or size
It is whole, in the case where not influencing the effect of present invention can be generated and the purpose that can reach, it should all still fall in disclosed skill
In the range of art content can cover.Meanwhile if in this specification with reference as "upper", "lower", "left", "right", " centre " and
The term of " one " etc. is merely convenient to being illustrated for narration, rather than to limit the scope of the invention, relativeness
It is altered or modified, under the content of no substantial changes in technology, when being also considered as the enforceable scope of the present invention.
Wind power generating set includes wind wheel, generator；Containing the composition such as blade, wheel hub, reinforcing member in wind wheel；It has blade by
The functions such as Wind-driven rotating power generation, the rotation of generator head.Wind-power electricity generation power supply is by wind power generating set, the tower of support generating set
The composition such as frame, storage battery charge controller, inverter, unloader, net-connected controller, battery group.
When wind power generating set is generated electricity, it will guarantee that output electric frequency is constant.No matter this generates electricity by way of merging two or more grid systems for blower
Or wind light mutual complementing power generation is all very necessary.Guarantee the frequency-invariant of wind-powered electricity generation, a kind of mode is ensuring that the constant of generator
Revolving speed, the i.e. method of operation of constant-speed and constant-frequency, it is this because generator carries out driving operating by transmission device by wind energy conversion system
Mode undoubtedly wants the revolving speed of constant wind energy conversion system, and this mode influences whether the transfer efficiency of wind energy；Another way is exactly to generate electricity
Machine revolving speed changes with wind speed, guarantees that the frequency-invariant of output electric energy, i.e. variable speed constant frequency are run by other means.
Blade is that certainty is higher, market capacity is larger in wind power components, profit model clearly industry.Blade, which generates, to be lacked
Sunken reason is varied:
1, it designs not perfect
1.1 pressure in face of reducing cost
In order to pursue higher profit, management level require to design cheap component, to make enterprise have bigger space.Design
Department sometimes has to make compromise, for example, reduce the mode of the blade root diameter of blade to reduce the cost of wheel hub and blade, but
It is that will lead to blade strength after blade root size reduces inadequate, for another example, the raw material for selecting quality bad but cheap, this is often
Blade is caused fatal defect occur.
1.2 change production technology without authorization.
1.3 limit Design
The design of blade needs the requirement and cooperation in view of unit other component, for example, the spacing of pylon and blade is usually
It designs a reason in need of consideration, main shaft and bearing when blade strength also to claim to the weight of blade, if these are joined
Number is inconsiderate so that blade design is reached the limit values.
1.4 safe masses reduce
2, defect is produced
2.1 use unreasonable material
2.2 not stringent quality controls
2.3 production work technical process are excessively complicated, are difficult the consistent product of the quality of production.
3, natural cause
Be struck by lightning blade.Specifically include that lightning stroke, the particle in air, high speed winds, shearing wind, harsh weather, fatigue life.
4, it is improper to run and safeguard
4.1 surpass rated power operation
4.2 out of control
When machine pitch-controlled system breaks down, the brake on machine will not make impeller stop operating, and blade appearance is out of control, will continue to
Quickly rotation, seriously will lead to blade and dishes out, cause blower catastrophic failure.
4.3 lack preventive maintenance
Wind power generation unit blade surface defects detection system in the present embodiment, the imaging array device 1 including defect for identification,
Whole visual field range whether is full of for locating blades and assists the oriented array dress of adjustment imaging 1 shooting angle of array apparatus
Set 2, image processing server 3, array control device 4, the communications cable 5 and 220V AC power source 6；The imaging array device 1
It is connect with oriented array device 2, described image processing server 3 is connect with array control device 4, the oriented array device 2
It is connect by the communications cable 5 with AC power source 6 with array control device 4；The length of the communications cable 5 is 100 meters.
The detection method of wind power generation unit blade surface defects detection system in the present embodiment, steps are as follows:
Step 1: placing wind power generation unit blade surface defects detection system below blower；
Step 2: adjustment holder, so that blade is within the scope of array；
Step 3: controlling the revolving speed of blower；
Step 4: fan blade is numbered in control fan blade rotation；
Step 5: inputting blade number in array control device 4, wait blade and ground level, start to detect；
Step 6: shooting remaining two blade；
Step 7: 180 ° of rotary generator cabin, confirming testing conditions；
Step 8: repeating the above steps, shoot blade another side；
Step 9:AI recognizes positioning automatically, exports detection data；
Step 10: forming report；
Terminate.
Detection method in the present embodiment takes AI software, developing for machine vision based on artificial intelligence deep learning
Software, without programming, be able to carry out the mode of self study to train.
In the day-to-day operation maintenance of blower, blade cannot often be paid attention to.But the aging of blade is but in sunlight, acid
With the variation of time variation occurs for rain, blast, self-vibration, dust storm under conditions of salt fog etc. is unfavorable.On ground once finding
Problem, it is meant that problem is very serious.The daily maintenance of blade is difficult examination and maintenance to blade, all can in many wind field blades
Occur natural cracking, trachoma, surface abrasion, broken by lightning, transversal crack etc. because of aging.If these problems daily maintenance
Handle properly, so that it may avoid in the future the maintenance cost of great number, reduce shut down in caused by economic loss.
Wind turbines substantial amounts, blade defect cause is varied, to wind power generation unit blade failure it is automatic identification, point
Class, positioning belt carry out great difficulty.
Wind power generation unit blade important technological parameters in the present embodiment
The detection device parameter of manufacture
AiDitron is a based on artificial intelligence depth in the wind power generation unit blade surface defects detection system and detection method
The software for machine vision exploitation of study.
Major function is as follows:
1, character recognition
2, it positions.
3, defects detection.
4, picture classification.
AiDitron artificial intelligence software/smart camera, without programming, can be able to carry out the side of self study as people
Formula is trained, powerful, it is advantageous that:
1, accuracy rate is high: in field of industry detection, passing through the study and continuous repetition of big data, accuracy rate infinite approach
100%。
2, it solves difficult problems: adjusting another parameter constant of parameter in AiDitron artificial intelligence software and move, energy
Enough meet the testing requirements of all defect.
3, the short time can make result: in the very short project of time requirement, as long as having enough pictures, Er Qiejin
Line identifier can make ideal result in one day in principle.
4, convenient later maintenance: traditional algorithm scene goes wrong, and can not detect desired as a result, software programming technique
Personnel will arrive production scene and carry out software debugging.AiDitron artificial intelligence software is directly the picture being not detected in life
The result that can reach desired is learned again in the scene of production.
5, operation threshold is low: the people of programming basis can quickly not detect complicated defect using this software
Identification.
When detection, according to Fig. 2, assembles the wind power generation unit blade surface defects detection system and be put in below blower, adjust cloud
When platform makes blade parallel ground within coverage, adjustment imaging array apparatus 1 and oriented array device 2 are realized best
Shooting effect.
Image processing server 3 is sent data to by the communications cable 5, inspector is grasped on image processing server 3
Control array control device 4 is detected, which passes through artificial intelligence defect recognition system
System automatic identification judges that the defect of blade, output detection data form report.
The inspection result of realization is as follows:
The technical indicator achievement of realization
It was found that defect it is as follows:
The first: slight crack.
Second: falling paint.
The third: damage.
In summary, the wind power generation unit blade surface defects detection system and detection method have the advantage that
1, structure is simple, system compact, practical, is suitble to wind-powered electricity generation industry to use, has operability, in practice it has proved that is a kind of
Good method.
2, on-site assembly is facilitated to dismantle.
3, it may be implemented to detect fan blade defect, classify, position.
4, have science, have chosen the index that can accurately reflect wind-powered electricity generation reality of work situation, there is comprehensive, summary
Property, it is comprehensive and accuracy the features such as.
5, have many advantages, such as that high sensitivity, calculating speed are fast, visual result is vivid.
6, strong operability, on the basis of considering scientific, index is reasonable, and initial data facilitates acquisition, has
Operability.
7, comparativity is strong.
8, guide property is strong, quantitative statistics, can provide data for scientific research.
9, there is broad applicability.
By above-mentioned elaboration, those skilled in the art can implement.
In addition, it should be noted that, the specific embodiments described in this specification, the shape of parts and components are named
Title etc. can be different, and above content is only to structure of the invention example explanation described in this specification.It is all according to
According to equivalence changes or simple change that the invention patent design structure, feature and principle is done, it is included in this hair
In the protection scope of bright patent.Those skilled in the art can do described specific embodiment various
The mode that the modify or supplement or adopt of various kinds is similar substitutes, and without departing from structure of the invention or surmounts present claims
Range defined in book, is within the scope of protection of the invention.
Claims (4)
1. a kind of wind power generation unit blade surface defects detection system, it is characterised in that: the imaging array including defect for identification
Whether device (1) is full of whole visual field range for locating blades and assists adjustment imaging array apparatus (1) shooting angle
Oriented array device (2), image processing server (3), array control device (4), the communications cable (5) and AC power source (6)；Institute
It states imaging array device (1) to connect with oriented array device (2), described image processing server (3) and array control device (4)
Connection, the oriented array device (2) are connect by the communications cable (5) with AC power source (6) with array control device (4).
2. wind power generation unit blade surface defects detection system according to claim 1, it is characterised in that: the communications cable
(5) length is 100 meters.
3. a kind of wind power generation unit blade surface defects detection system as described in any one of claim 1-2 claim
Detection method, it is characterised in that: steps are as follows for the detection method:
Step 1: placing wind power generation unit blade surface defects detection system below blower；
Step 2: adjustment holder, so that blade is within the scope of array；
Step 3: controlling the revolving speed of blower；
Step 4: fan blade is numbered in control fan blade rotation；
Step 5: in array control device (4) input blade number, waiting blade and ground level, start to detect；
Step 6: shooting remaining two blade；
Step 7: 180 ° of rotary generator cabin, confirming testing conditions；
Step 8: repeating the above steps, shoot blade another side；
Step 9:AI recognizes positioning automatically, exports detection data；
Step 10: forming report；
Terminate.
4. the detection method of wind power generation unit blade surface defects detection system according to claim 3, it is characterised in that: inspection
Survey method takes AI software, the software for machine vision exploitation based on artificial intelligence deep learning, without programming, Neng Goujin
The mode of row self study is trained.
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| CN201910181509.3A CN110243830A (en) | 2019-03-11 | 2019-03-11 | A kind of wind power generation unit blade surface defects detection system and detection method |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102539438A (en) * | 2011-12-02 | 2012-07-04 | 上海电机学院 | Real-time state monitoring and fault diagnosing system and method for blades of wind generating set |
| KR20140000612A (en) * | 2012-06-22 | 2014-01-03 | 전자부품연구원 | Aerogenerator having blade inspection function and blade inspection method thereof |
| CN203981600U (en) * | 2014-08-05 | 2014-12-03 | 大唐（赤峰）新能源有限公司 | A kind of fan blade logging |
| US20150324643A1 (en) * | 2012-06-18 | 2015-11-12 | Collineo Inc. | Remote visual inspection system and method |
| CN108152295A (en) * | 2018-01-19 | 2018-06-12 | 河南志格新能源科技有限公司 | Wind generator set blade surface defect intelligent checking system |
| CN108416294A (en) * | 2018-03-08 | 2018-08-17 | 南京天数信息科技有限公司 | A kind of fan blade fault intelligent identification method based on deep learning |
| CN210090326U (en) * | 2019-03-11 | 2020-02-18 | 华电电力科学研究院有限公司 | Wind turbine generator system blade surface defect detecting system |
-
2019
- 2019-03-11 CN CN201910181509.3A patent/CN110243830A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102539438A (en) * | 2011-12-02 | 2012-07-04 | 上海电机学院 | Real-time state monitoring and fault diagnosing system and method for blades of wind generating set |
| US20150324643A1 (en) * | 2012-06-18 | 2015-11-12 | Collineo Inc. | Remote visual inspection system and method |
| KR20140000612A (en) * | 2012-06-22 | 2014-01-03 | 전자부품연구원 | Aerogenerator having blade inspection function and blade inspection method thereof |
| CN203981600U (en) * | 2014-08-05 | 2014-12-03 | 大唐（赤峰）新能源有限公司 | A kind of fan blade logging |
| CN108152295A (en) * | 2018-01-19 | 2018-06-12 | 河南志格新能源科技有限公司 | Wind generator set blade surface defect intelligent checking system |
| CN108416294A (en) * | 2018-03-08 | 2018-08-17 | 南京天数信息科技有限公司 | A kind of fan blade fault intelligent identification method based on deep learning |
| CN210090326U (en) * | 2019-03-11 | 2020-02-18 | 华电电力科学研究院有限公司 | Wind turbine generator system blade surface defect detecting system |
Non-Patent Citations (1)
| Title |
|---|
| 吴国中 等: "风电叶片在线检测技术研究进展", 南京工业职业技术学院学报, vol. 18, no. 2, pages 4 - 8 * |
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