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CN109470712A - A kind of wind electricity blade detection system - Google Patents

A kind of wind electricity blade detection system Download PDF

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Publication number
CN109470712A
CN109470712A CN201811576788.5A CN201811576788A CN109470712A CN 109470712 A CN109470712 A CN 109470712A CN 201811576788 A CN201811576788 A CN 201811576788A CN 109470712 A CN109470712 A CN 109470712A
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CN
China
Prior art keywords
detection
unmanned plane
wind
data
blade
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Pending
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CN201811576788.5A
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Chinese (zh)
Inventor
杨旭
高晶石
张德星
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Hanwenjing Technology Co Ltd
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Beijing Hanwenjing Technology Co Ltd
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Publication date
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Priority to CN201811576788.5A priority Critical patent/CN109470712A/en
Publication of CN109470712A publication Critical patent/CN109470712A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/02Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/022Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/16Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Wind Motors (AREA)

Abstract

The invention discloses a kind of wind electricity blade detection systems, including wind-driven generator core blade, unmanned plane and image acquisition transmission system and data processing system, unmanned plane is connect with wind-driven generator core blade monitor and detection, and unmanned plane is connected by image acquisition transmission system, data processing system with backstage command system;The UAV system includes rotor wing unmanned aerial vehicle, measuring and control data chain, ground controlling terminal, realizes the positioning flight in wind power plant, precisely hovers, form aerial short distance detection platform for flabellum.The present invention is detected for the problematic portion that easily occurs main during wind turbine power generation, to achieve the purpose that be timed blower maintenance, repair, is reduced blower accident rate, is extended service life of equipment.

Description

A kind of wind electricity blade detection system
Technical field
The present invention relates to wind turbine power generation detection technique fields, and in particular to a kind of wind electricity blade detection system.
Background technique
It is generally believed that blade of wind-driven generator fatigue damage is generated by the growth of minimal cracks, when part collects to glutinous The intersection of glue layer and blade covering eventually leads to cracking and the covering fracture of blade.Since blade of wind-driven generator passes through It is often operated for a long time under the operating conditions such as bending moment, yaw, shutdown, starting, complicated random load distribution and severe field meteorology item Part increases the difficulty of local stress calculation, and the fatigue failure for also be easy to causeing blade to generate due to alternating load leads to blade Health status deteriorates.It is therefore desirable to blade of wind-driven generator crackle carry out real-time monitoring, analysis crackle generate, growth, The rule of extension studies the relation mechanism of blade dynamic load and blade of wind-driven generator fatigue damage, according to wind-power electricity generation The positioning of machine blade cracks, quantitative diagnostic result determine fatigue damage degree and recognize blade fault type, to improve The reliability of blade of wind-driven generator, the high maintenance cost after avoiding the occurrence of great serious accident.
China is also more original for the inspection detection means of blade at present, and the means that predominantly detect are ground-based telescope or ground The mode that face is taken pictures carries out appearance detection, the above detection method not only low efficiency, and all cannot intuitively, comprehensively and accurately detect Fan blade does not also save historical data well compare after sensing.
In conclusion the present invention devises a kind of wind electricity blade detection system, advanced design idea basis is sufficiently being used On, adhere to the theory that equipment is practical, handy, it then follows practical, reliable, advanced, economic design principle, meet requirement and Under the premise of system performance, emphasis improves the reliability and stability of system.
Summary of the invention
In view of the shortcomings of the prior art, object of the present invention is to be to provide a kind of wind electricity blade detection system, needle The problematic portion that easily occurs main during wind turbine power generation is detected, maintenance, repair are timed to blower to reach Purpose reduces blower accident rate, extends service life of equipment.
To achieve the goals above, the present invention is to realize by the following technical solutions: a kind of wind electricity blade detection system System, including wind-driven generator core blade, unmanned plane, image acquisition transmission system and data processing system, unmanned plane and wind-force The connection of generator core blade monitor and detection, unmanned plane are commanded by image acquisition transmission system, data processing system and backstage System is connected;The UAV system includes rotor wing unmanned aerial vehicle, measuring and control data chain, ground controlling terminal, is realized in wind power plant Middle positioning flight precisely hovers, forms aerial short distance detection platform for flabellum.
Preferably, the image acquisition transmission system includes airborne acquisition load, image transmission data chain, Ke Yitong It crosses airborne platform and completes high speed to flabellum, high-definition monitoring, and pass through image transmission data chain to ground data reception terminal.
Preferably, the unmanned plane uses gyroplane, gyroplane uses quadrotor or six rotors.
Preferably, the flying height of the unmanned plane is not higher than 2000 meters, offline mode has manual remote control, independently hangs Stop, from main shipping track, high-altitude fence, promptly make a return voyage.
Preferably, the unmanned plane band three-axle steady platform.
Preferably, the navigation mode of the unmanned plane is that GPS navigation, Beidou navigation, GPS and Beidou combination are led Boat.
Preferably, the identification distance of the image acquisition transmission system is greater than 500 meters, detection range is greater than 3000 Rice.
Preferably, a kind of detecting step of wind electricity blade detection system are as follows:
1) video pre-filtering
Video pre-filtering link be for unmanned plane shooting HD video carry out pretreatment amendment, mainly complete motion compensation, The functions such as the steady picture of dynamic and data correction.
2) key-frame extraction
Key-frame extraction is that the key frame of detection target to be processed is extracted in massive video data stream, is stitched for the conjunction film of detection Position frame, root of blade tip data frame etc. carry out dynamic data extraction.
3) intelligent measurement is handled
Intelligent measurement is that the key frame extracted for previous step carries out database comparison, using mode identification method according to abnormal number According to sample space in library, recognition detection blade defect.
4) detection processing
Detection processing mainly passes through software platform and automatically generates examining report, achieves data information in real time for different user, uses It family can online real time inspection by cloud platform.
Beneficial effects of the present invention: the present invention is the information processing system of a set of soft or hard combination, using unmanned air vehicle technique, Wireless data transmission technology, dynamic image pro cess identification technology carry out real time monitoring detection for wind-driven generator core blade, Will test result submits backstage Combat Command System online simultaneously.Its specific advantage embodies as follows:
1, open
The standard that industry is open, mature is introduced, is complied with standard and the not active open platform of failure to guarantee that system becomes, It lays the foundation for the flexible opening of following system.
2, advanced
Based on unified overall architecture, advanced, mature, the reliable technology of use and hardware and software platform guarantee basic data Plateform system easily extends, easy characteristics such as upgrading, easy to operate, easy to maintain.
3, scalability
With the continuous generation of new business demand, the extension of basic data model, analytical model for application, front end applications is supported Property;Support the scalability of server, storage, I/O equipment etc. in integrated system framework.
4, reliability
Formulate simultaneously practice processes data platform high-availability arrangement, operational management the monitoring regime, operation and maintenance system, troubleshooting Prediction scheme etc. guarantees reliability of the current period system under the complex environments such as multi-user, multinode.
5, high efficiency
High efficiency includes two aspect contents, and one side system needs to complete data write operation at the appointed time, and by data The influence for analyzing data is written to be preferably minimized;Another aspect system needs to realize the data query speed of planning requirement.
6, correctness
The quality of data runs through each link of Base data platform system Construction, and Base data platform system passes through reasonable data Quality management solution guarantees the quality of data.
7, safety
The platform safety management of data resource pond is realized by national standard, professional standard, safety standard etc..
8, maintainable
System will have unified management platform, and the links of fundamentals of management data platform system can carry out system corresponding Performance management and log monitoring.
9, ease for use
There is the ways of presentation of the not flexible multiplicity of good man-machine interface, needing to provide training appropriate to end user can be square Just new analysis tool is used, to reduce the workload of maintenance personnel, while strengthening the timeliness of cluster supervision.
Detailed description of the invention
The following describes the present invention in detail with reference to the accompanying drawings and specific embodiments;
Fig. 1 is system construction drawing of the invention;
Fig. 2 is software flow pattern of the invention.
Specific embodiment
To be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, below with reference to Specific embodiment, the present invention is further explained.
Referring to Fig.1-2, present embodiment uses following technical scheme: a kind of wind electricity blade detection system, including wind Power generator core blade 1, unmanned plane 2, image acquisition transmission system 3 and data processing system 4, unmanned plane 2 and wind-power electricity generation The connection of 1 monitor and detection of machine core blade, unmanned plane 2 are commanded by image acquisition transmission system 3, data processing system 4 and backstage System is connected.
The UAV system of present embodiment include rotor without, man-machine, measuring and control data chain, ground controlling terminal, it is real Positioning flight in present wind power plant, precisely hovers, forms aerial short distance detection platform for flabellum.Its design parameter is as follows:
A, maximum flight height above sea level: 6000 meters;
B, the flight time: it is not less than 30 minutes;
C, rated wind velocity: 6 grades;
D, holder data: band three-axle steady platform;
E, aircraft pattern: gyroplane (4 rotors or 6 rotors);
F, load-carrying: it is not less than 2000g;
G, offline mode: manual remote control, autonomous hovering, from main shipping track, high-altitude fence, promptly make a return voyage;
H, flying height :≤2000 meters (relative altitude);
I, navigation mode: GPS navigation/Beidou navigation/GPS and Beidou integrated navigation;
J, Lateral Navigation error :≤2.5 meters;
K, Normal Take-Off And Landing wind speed :≤7 grades;
L, safeguard protection:
1, automatic checkout system state after being switched on does not execute instruction of taking off if any abnormal;
2, maximum flying radius and ceiling altitude can be set, beyond boundary automatically into preset mode;
3, it makes a return voyage or continues course line task (can set) automatically after data chain interruption;
4, earth station's audio alert when being lower than alarm voltage;
5, landing instruction is executed automatically lower than limiting voltage;
The image acquisition transmission system of present embodiment includes airborne acquisition load, image transmission data chain, can be passed through Airborne platform completes high speed to flabellum, high-definition monitoring, and passes through image transmission data chain to ground data reception terminal.It has Body parameter is as follows:
A, machine core weight: less than 350g;
B, camera lens weight: less than 150g;
C, resolution ratio: it is not less than 1080P;
D, imaging frame rate: it is not less than 60 frames;
E, power consumption: less than 1.5w;
F, voltage range: 9-36V;
G: greater than 500 meters of identification distance;
H, detection range: greater than 3000 meter;
I, temperature range: -45 to 60 degree.
The data processing system of present embodiment includes Portable data processing equipment and onboard data processing software, High definition load video, the features such as identification flabellum deformation, slight crack can be handled in real time.Its design parameter is as follows:
A processing function: intelligent Data Extraction Based is supported;
B data processing bandwidth: it is not less than 60Mbps/ core (CPU 3.0GHz);
A kind of detecting step of wind electricity blade detection system of present embodiment are as follows:
1) video pre-filtering
Video pre-filtering link be for unmanned plane shooting HD video carry out pretreatment amendment, mainly complete motion compensation, The functions such as the steady picture of dynamic and data correction.
2) key-frame extraction
Key-frame extraction is that the key frame of detection target to be processed is extracted in massive video data stream, is stitched for the conjunction film of detection Position frame, root of blade tip data frame etc. carry out dynamic data extraction.
3) intelligent measurement is handled
Intelligent measurement is that the key frame extracted for previous step carries out database comparison, using mode identification method according to abnormal number According to sample space in library, recognition detection blade defect.
4) detection processing
Detection processing mainly passes through software platform and automatically generates examining report, achieves data information in real time for different user, uses It family can online real time inspection by cloud platform.
The system detection content of present embodiment mainly includes following sections:
1, flabellum shape changing detection
Flabellum shape changing detection is analyzed by the video data successive frame shot to unmanned plane, right within one section of continuous time The comparison of position machine vision is fixed in three groups of flabellums of blower, obtains imaging features of three groups of flabellums under same observed bearing, To obtain the deformation coefficient of three groups of flabellums.If there is abnormality is then alerted.
2, film seam detection is closed
Close film seam detection be for blower flabellum split position carry out gap detection, using high definition unmanned plane imaging data into Row edge extracting, and imaging gap width is calculated, if it exceeds early warning value is then alerted.
3, flabellum blade tip detects
The detection of flabellum blade tip is to will cause flabellum tip for lightning stroke situation and injure even aperture.System utilizes unmanned plane high definition Data carry out blade tip detection and analysis, carry out feature extraction to high-definition data and detect poroid exception, carry out prompt alarm.
4, flabellum root is detected
Flabellum root is flabellum key position, once there is crack, aperture, excessive deformation will cause serious consequence.System root Gap, leak hole detection are carried out to root according to high-definition data, abnormal conditions are alerted.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its Equivalent thereof.

Claims (8)

1. a kind of wind electricity blade detection system, which is characterized in that including wind-driven generator core blade (1), unmanned plane (2), figure As acquiring and transmission system (3) and data processing system (4), unmanned plane (2) and wind-driven generator core blade (1) monitor and detection connect It connects, unmanned plane (2) is connected by image acquisition transmission system (3), data processing system (4) with backstage command system;Described UAV system includes rotor wing unmanned aerial vehicle, measuring and control data chain, ground controlling terminal, realizes the positioning flight in wind power plant, precisely Hovering, forms aerial short distance detection platform for flabellum.
2. a kind of wind electricity blade detection system according to claim 1, which is characterized in that the Image Acquisition transmits system System includes airborne acquisition load, image transmission data chain, can by high speed of the airborne platform completion to flabellum, high-definition monitoring, And terminal is received by image transmission data chain to ground data.
3. a kind of wind electricity blade detection system according to claim 1, which is characterized in that the unmanned plane (2) uses Gyroplane, gyroplane use quadrotor or six rotors.
4. a kind of wind electricity blade detection system according to claim 1, which is characterized in that the unmanned plane (2) flies Row height is not higher than 2000 meters, offline mode have manual remote control, autonomous hovering, from main shipping track, high-altitude fence, promptly make a return voyage.
5. a kind of wind electricity blade detection system according to claim 1, which is characterized in that described unmanned plane (2) band three Axis stabilized platforms.
6. a kind of wind electricity blade detection system according to claim 1, which is characterized in that lead unmanned plane (2) Boat mode is GPS navigation, Beidou navigation, GPS and Beidou integrated navigation.
7. a kind of wind electricity blade detection system according to claim 1, which is characterized in that the Image Acquisition transmits system The identification distance of system is greater than 500 meters, and detection range is greater than 3000 meters.
8. a kind of wind electricity blade detection system according to claim 1, which is characterized in that a kind of wind electricity blade inspection The detecting step of examining system are as follows:
(1) video pre-filtering
Video pre-filtering link be for unmanned plane shooting HD video carry out pretreatment amendment, mainly complete motion compensation, The dynamic function that surely picture and data are corrected;
(2) key-frame extraction
Key-frame extraction is that the key frame of detection target to be processed is extracted in massive video data stream, is stitched for the conjunction film of detection Position frame, root of blade tip data frame carry out dynamic data extraction;
(3) intelligent measurement is handled
Intelligent measurement is that the key frame extracted for previous step carries out database comparison, using mode identification method according to abnormal number According to sample space in library, recognition detection blade defect;
(4) detection processing
Detection processing mainly passes through software platform and automatically generates examining report, achieves data information in real time for different user, uses It family can online real time inspection by cloud platform.
CN201811576788.5A 2018-12-23 2018-12-23 A kind of wind electricity blade detection system Pending CN109470712A (en)

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Application Number Priority Date Filing Date Title
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109900712A (en) * 2019-04-17 2019-06-18 中国人民解放军国防科技大学 On-line detection system and method of wind turbine blade mechanical fault based on camera measurement
CN109900794A (en) * 2019-04-18 2019-06-18 深圳市神视检验有限公司 Fault detection system, method and computer readable storage medium
CN111708380A (en) * 2020-06-29 2020-09-25 北京御航智能科技有限公司 Detection method, platform, unmanned aerial vehicle and system for appearance defects of wind turbine generator
CN113406091A (en) * 2021-06-09 2021-09-17 东方电气集团科学技术研究院有限公司 Unmanned aerial vehicle system for detecting fan blade and control method

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Publication number Priority date Publication date Assignee Title
CN109900712A (en) * 2019-04-17 2019-06-18 中国人民解放军国防科技大学 On-line detection system and method of wind turbine blade mechanical fault based on camera measurement
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CN109900794A (en) * 2019-04-18 2019-06-18 深圳市神视检验有限公司 Fault detection system, method and computer readable storage medium
CN111708380A (en) * 2020-06-29 2020-09-25 北京御航智能科技有限公司 Detection method, platform, unmanned aerial vehicle and system for appearance defects of wind turbine generator
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CN113406091A (en) * 2021-06-09 2021-09-17 东方电气集团科学技术研究院有限公司 Unmanned aerial vehicle system for detecting fan blade and control method

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