CN107121122B - A kind of Wind turbines tower dynamic rate circle analysis method - Google Patents

A kind of Wind turbines tower dynamic rate circle analysis method Download PDF

Info

Publication number
CN107121122B
CN107121122B CN201710396753.2A CN201710396753A CN107121122B CN 107121122 B CN107121122 B CN 107121122B CN 201710396753 A CN201710396753 A CN 201710396753A CN 107121122 B CN107121122 B CN 107121122B
Authority
CN
China
Prior art keywords
circle
tower
rigidity
center
radius
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201710396753.2A
Other languages
Chinese (zh)
Other versions
CN107121122A (en
Inventor
陈洪德
张洪武
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.)
Shanghai Spectrum Technology Co Ltd
Original Assignee
Shanghai Spectrum Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Spectrum Technology Co Ltd filed Critical Shanghai Spectrum Technology Co Ltd
Priority to CN201710396753.2A priority Critical patent/CN107121122B/en
Publication of CN107121122A publication Critical patent/CN107121122A/en
Application granted granted Critical
Publication of CN107121122B publication Critical patent/CN107121122B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/32Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C5/00Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C9/00Measuring inclination, e.g. by clinometers, by levels
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING 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
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Medicinal Chemistry (AREA)
  • Food Science & Technology (AREA)
  • Wind Motors (AREA)

Abstract

The invention discloses a kind of Wind turbines tower dynamic rate circle analysis methods, comprising the following steps: 1) after Wind turbines tower is installed, respectively installs a twin shaft dynamic inclination sensor on tower top and bottom;2) blower operates normally a period of time, period at least obtains tilt angle data when 3 different directions blowers reach rated power, it is recorded in database, data during this draw accumulation graph, this figure is converted into photo, the inscribed circle for calculating accumulation diagram shape is handled by machine vision, this inscribed circle is blower initial maximum rigidity circle;4) after Wind turbines tower runs a period of time, the twin shaft dynamic inclination sensor tilt data obtained of top and bottom in this period is drawn into accumulation graph, this figure is converted into photo, and the inscribed circle for calculating accumulation diagram shape is handled by machine vision, compares judgement.

Description

A kind of Wind turbines tower dynamic rate circle analysis method
Technical field
The present invention relates to wind-power tower field, in particular to a kind of Wind turbines tower dynamic rate circle analysis method.
Background technique
The tower of Wind turbines is the load-supporting part in wind power generating set, and support is mainly played in wind power generating set and is made With, while absorbing unit vibration.Tower subjects thrust, the load complicated and changeable such as moment of flexure and torque load, so that wind-force is sent out In electric unit running process, what tower will appear certain amplitude the deformation such as waves and distorts;In addition, tower also suffers from material change Change, the influence of the factors such as components failure and settlement of foundation, run-off the straight.The excessive inclination and distortion of tower will affect wind-force hair The normal operation of motor group, serious also to generate safety accident, therefore, it is necessary to Wind turbines foundation settlement and tower safety It is measured in real time, and how to evaluate whether tower structure is safe and healthy, this does not have always by the tower tilt data of acquisition There is a very good solution method.
Currently, being used as the inclined alarm of tower, each producer using fixed slope (empirical value derives from standard) The height of type blower fan tower barrel, tower inner wall thickness is all different, causes the rigidity of various types of towers not identical, uses one The slope of a fixation, as judgment criteria, cannot accomplish accurate alarm to variety classes tower.At the beginning of can not learning tower at present Begin the slope installed, the practical stiffness characteristic of tower structure, and tower drum flange is bolted whether loosen, and whether tower structure has Damage etc..
And there is presently no the sides that a kind of Wind turbines tower is able to detect its structure safety under working Method.
Summary of the invention
It is an object of the invention to the above-mentioned insufficient and defects for the prior art, provide a kind of Wind turbines tower dynamic Rigidity justifies analysis method, to solve the above problems.
A kind of Wind turbines tower dynamic rate circle analysis method, which comprises the steps of:
1) after Wind turbines tower is installed, one twin shaft dynamic inclination sensing is respectively installed on tower top and bottom Device;
2) blower brings into operation normal operation a period of time at initial stage, and during which blower at least reaches hair in 3 different wind directions Electric rated power, tilt angle data of twin shaft dynamic inclination sensor are recorded in database during this, and data draw accumulation Figure, this figure are converted into photo, and the inscribed circle for calculating accumulation diagram shape is handled by machine vision, this inscribed circle is that blower is initial Maximum rigidity circle, inscribe fits two top initial maximum rigidity circles respectively and bottom initial maximum rigidity circle, top are initial The center of circle 01 of maximum rigidity circle, radius R1, the center of circle 02 of bottom initial maximum rigidity circle, radius R2;
3) when Wind turbines tower in the process of running, the twin shaft dynamic inclination sensor of top and bottom is obtained When tilt data is not in above-mentioned top initial maximum rigidity is round and initial maximum rigidity in bottom is round, alarm signal is issued;
4) after Wind turbines tower runs a period of time, by the twin shaft dynamic inclination of the top and bottom in this period Sensor tilt data obtained draws accumulation graph, this figure is converted into photo, is handled by machine vision and calculates accumulation graph The inscribed circle of shape, inscribe fits two current top maximum rigidities circles and current bottom maximum rigidity circle respectively, works as sinciput The center of circle 01 ' of portion's maximum rigidity circle, radius R1 ', the center of circle 02 ' of current bottom maximum rigidity circle, radius R2 '.
The center of circle 01, radius R1 and the center of circle 01 ', radius R1 ' are compared,
4.1) if the initial center of circle 01 is deviateed in the current center of circle 01 ', can determine that as at least one of following situations:
A, it can determine whether that tower deforms, the phasor difference in the center of circle 01 and the center of circle 01 ' is to deviate size, the journey as deformed Degree,
B, there is differential settlement in column foot;
4.2) such as current radius of circle R1 ' is bigger than initial radius of circle R1, can determine that as at least one of following situations:
C, column foot loosens insecure;
D, tower rigidity dies down;
4.3) have when twin shaft dynamic inclination sensor fits a current maximum rigidity circle in some arc-shaped edges periphery When the larger deviation circular arc of more a data point, can determine whether that 360 ° of rigidity of tower are uneven, this arc-shaped edges prescription to rigidity it is weaker, Cause this directional stiffness weaker, is that the fixed loosening of tower drum flange bolt or tower have scar, crackle to cause.
Due to using technical solution as above, the present invention is calculated by the data that twin shaft dynamic inclination sensor obtains The method of maximum rigidity circle, energy real-time online, which quickly detects, can determine whether that deformation occurs in tower, differential settlement, tower occurs in column foot Base loosening is insecure, tower rigidity dies down, the fixed loosening of tower drum flange bolt or tower have the problems such as scar, crackle.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.
Fig. 1 is force analysis figure of the tower of an embodiment of the present invention under working.
Fig. 2 is the fitting schematic diagram of the one of initial maximum rigidity circle of an embodiment of the present invention.
Specific embodiment
In order to be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, below into One step illustrates the present invention.
Before the present invention is described, first Wind turbine tower structure is analyzed, referring to figs. 1 and 2, Since tower 100 is cylindrical structure, so the rigidity EI of 360 ° of all directions of tower 100 is equal.The stress of blower fan tower barrel can The fixed end taken about the point of fixation M for being reduced to torque caused by the intrinsic gravity G of tower itself, wind load F and tower deviation of gravity center and generating.By In the effect of yaw control, blade 110 faces wind, so torque caused by wind load F is with M on the contrary, fixed end taken about the point of fixation M can allow Tower generates deflection angle Θ, so formula deflection angle Θ=(M*H-F*H2/ 2)/EI, H are tower height.F becomes with wind speed, and wind speed is got over Greatly, F is bigger;When blower reaches rated power, F reaches maximum value Fmax;When wind speed continues to increase, wind power generating set control System processed can adjust blade angle, guarantee constant torque, however F can become smaller with the variation of blade angle.According to formula to calculating, After different wind directions reaches rated power, it is formed by one circle of inclination angle accumulation graph inscribe, this circle is named as with reference to maximum Rigidity circle, blower are being operated normally without departing from this maximum rigidity circle.
Based on above-mentioned intrinsic objective circumstances, present invention is described below.
A kind of Wind turbines tower dynamic rate circle analysis method, includes the following steps:
1) after Wind turbines tower is installed, one twin shaft dynamic inclination sensing is respectively installed on tower top and bottom Device;
2) blower brings into operation normal operation a period of time at initial stage, and during which blower at least reaches hair in 3 different wind directions Electric rated power, tilt angle data of twin shaft dynamic inclination sensor are recorded in database during this, and data draw accumulation Figure, this figure are converted into photo, and the inscribed circle for calculating accumulation diagram shape is handled by machine vision, this inscribed circle is that blower is initial Maximum rigidity circle, inscribe fits two top initial maximum rigidity circles respectively and bottom initial maximum rigidity circle, top are initial The center of circle 01 of maximum rigidity circle, radius R1, the center of circle 02 of bottom initial maximum rigidity circle, radius R2;
3) when Wind turbines tower in the process of running, the twin shaft dynamic inclination sensor of top and bottom is obtained When tilt data is not in above-mentioned top initial maximum rigidity is round and initial maximum rigidity in bottom is round, alarm signal is issued;
4) after Wind turbines tower runs a period of time, by the twin shaft dynamic inclination of the top and bottom in this period Sensor tilt data obtained draws accumulation graph, this figure is converted into photo, is handled by machine vision and calculates accumulation graph The inscribed circle of shape, inscribe fits two current top maximum rigidities circles and current bottom maximum rigidity circle respectively, works as sinciput The center of circle 01 ' of portion's maximum rigidity circle, radius R1 ', the center of circle 02 ' of current bottom maximum rigidity circle, radius R2 '.
The center of circle 01, radius R1 and the center of circle 01 ', radius R1 ' are compared,
4.1) if the initial center of circle 01 is deviateed in the current center of circle 01 ', can determine that as at least one of following situations:
A, it can determine whether that tower deforms, the phasor difference in the center of circle 01 and the center of circle 01 ' is to deviate size, the journey as deformed Degree,
B, there is differential settlement in column foot;
4.2) such as current radius of circle R1 ' is bigger than initial radius of circle R1, can determine that as at least one of following situations:
C, column foot loosens insecure;
D, tower rigidity dies down;
4.3) have when twin shaft dynamic inclination sensor fits a current maximum rigidity circle in some arc-shaped edges periphery When the larger deviation circular arc of more a data point, can determine whether that 360 ° of rigidity of tower are uneven, this arc-shaped edges prescription to rigidity it is weaker, Cause this directional stiffness weaker, is that the fixed loosening of tower drum flange bolt or tower have scar, crackle to cause.
The method that the data digital simulation that the present invention is obtained by twin shaft dynamic inclination sensor goes out maximum rigidity circle, can be real When on-line quick detection go out can determine whether tower occur deformation, column foot occur differential settlement, column foot loosen insecure, tower rigidity It dies down, the fixed loosening of tower drum flange bolt or tower have the problems such as scar, crackle.
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 (1)

1. a kind of Wind turbines tower dynamic rate circle analysis method, which comprises the steps of:
1) after Wind turbines tower is installed, one twin shaft dynamic inclination sensor is respectively installed on tower top and bottom;
2) blower brings into operation normal operation a period of time at initial stage, and during which blower at least reaches power generation volume in 3 different wind directions Determine power, tilt angle data of twin shaft dynamic inclination sensor are recorded in database during this, and data draw accumulation graph, this Figure is converted into photo, and the inscribed circle for calculating accumulation diagram shape is handled by machine vision, this inscribed circle is blower initial maximum Rigidity circle, inscribe fits two top initial maximum rigidity circles and bottom initial maximum rigidity circle, top initial maximum respectively The center of circle 01 of rigidity circle, radius R1, the center of circle 02 of bottom initial maximum rigidity circle, radius R2;
3) when Wind turbines tower in the process of running, the twin shaft dynamic inclination sensor inclination obtained of top and bottom When data are not in above-mentioned top initial maximum rigidity is round and initial maximum rigidity in bottom is round, alarm signal is issued;
4) after Wind turbines tower runs a period of time, the twin shaft dynamic inclination of the top and bottom in this period is sensed Device tilt data obtained draws accumulation graph, this figure is converted into photo, is handled by machine vision and calculates accumulation diagram shape Inscribed circle, inscribe fits that two current top maximum rigidities are round and current bottom maximum rigidity circle respectively, and current top is most The center of circle 01 ' of big rigidity circle, radius R1 ', the center of circle 02 ' of current bottom maximum rigidity circle, radius R2 ';
The center of circle 01, radius R1 and the center of circle 01 ', radius R1 ' are compared,
4.1) if the initial center of circle 01 is deviateed in the current center of circle 01 ', can determine that as at least one of following situations:
A, it can determine whether that tower deforms, the mould of the phasor difference in the center of circle 01 and the center of circle 01 ' is to deviate size, the journey as deformed Degree,
B, there is differential settlement in column foot;
4.2) such as current radius of circle R1 ' is bigger than initial radius of circle R1, can determine that as at least one of following situations:
C, column foot loosens insecure;
D, tower rigidity dies down;
4.3) when twin shaft dynamic inclination sensor fits a current maximum rigidity circle in some arc-shaped edges periphery with more When the larger deviation circular arc of a data point, can determine whether that 360 ° of rigidity of tower are uneven, this arc-shaped edges prescription to rigidity it is weaker, cause This directional stiffness is weaker, is that the fixed loosening of tower drum flange bolt or tower have scar, crackle to cause.
CN201710396753.2A 2017-05-31 2017-05-31 A kind of Wind turbines tower dynamic rate circle analysis method Active CN107121122B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710396753.2A CN107121122B (en) 2017-05-31 2017-05-31 A kind of Wind turbines tower dynamic rate circle analysis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710396753.2A CN107121122B (en) 2017-05-31 2017-05-31 A kind of Wind turbines tower dynamic rate circle analysis method

Publications (2)

Publication Number Publication Date
CN107121122A CN107121122A (en) 2017-09-01
CN107121122B true CN107121122B (en) 2019-08-06

Family

ID=59729336

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710396753.2A Active CN107121122B (en) 2017-05-31 2017-05-31 A kind of Wind turbines tower dynamic rate circle analysis method

Country Status (1)

Country Link
CN (1) CN107121122B (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109596175B (en) * 2018-12-28 2021-05-07 深圳前海慧联科技发展有限公司 Wind power tower cylinder slope and rock on-line monitoring system
CN112102240B (en) * 2020-08-11 2021-11-23 风脉能源(武汉)股份有限公司 Method and device for measuring inclination of tower drum foundation ring based on machine vision, and computer equipment
CN113513454A (en) * 2021-08-18 2021-10-19 华能定边新能源发电有限公司 Double-fed wind generating set tower barrel structure safety dynamic monitoring method
CN113503231A (en) * 2021-08-19 2021-10-15 华能盐城大丰新能源发电有限责任公司 Tower inclination and foundation settlement evaluation method and system under variable working conditions of wind turbine generator
CN115539325B (en) * 2022-09-27 2024-01-30 西安热工研究院有限公司 Tower vibration early warning method based on wind turbine generator

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203364814U (en) * 2013-07-29 2013-12-25 新疆风电工程设计咨询有限责任公司 Differential settlement observation device for wind turbine foundation
CN203742907U (en) * 2014-03-13 2014-07-30 北京唐浩电力工程技术研究有限公司 Measuring device for tower of wind turbine generator set
CN203948229U (en) * 2014-03-14 2014-11-19 北京唐浩电力工程技术研究有限公司 A kind of tower of wind generating set cylinder inclination measuring device
CN106092049A (en) * 2016-08-13 2016-11-09 哈尔滨理工大学 Shaft tower tilts intelligent image on-line monitoring system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ES2628963T3 (en) * 2012-07-26 2017-08-04 Vestas Wind Systems A/S Tilt Wind Turbine

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203364814U (en) * 2013-07-29 2013-12-25 新疆风电工程设计咨询有限责任公司 Differential settlement observation device for wind turbine foundation
CN203742907U (en) * 2014-03-13 2014-07-30 北京唐浩电力工程技术研究有限公司 Measuring device for tower of wind turbine generator set
CN203948229U (en) * 2014-03-14 2014-11-19 北京唐浩电力工程技术研究有限公司 A kind of tower of wind generating set cylinder inclination measuring device
CN106092049A (en) * 2016-08-13 2016-11-09 哈尔滨理工大学 Shaft tower tilts intelligent image on-line monitoring system

Also Published As

Publication number Publication date
CN107121122A (en) 2017-09-01

Similar Documents

Publication Publication Date Title
CN107121122B (en) A kind of Wind turbines tower dynamic rate circle analysis method
US7160083B2 (en) Method and apparatus for wind turbine rotor load control
US7086834B2 (en) Methods and apparatus for rotor blade ice detection
CN111794909B (en) Sector regulation-oriented wind farm level yaw dynamic optimization method and system
EP1646786B1 (en) Method and apparatus for wind turbine rotor load control based on shaft radial displacement
CA2755154C (en) Method and system for adjusting a power parameter of a wind turbine
EP3218600B1 (en) System and method for estimating rotor blade loads of a wind turbine
EP3056726B1 (en) System and method for operating a wind turbine based on rotor blade margin
US8186950B2 (en) Aerodynamic device for detection of wind turbine blade operation
KR101288329B1 (en) Monitoring apparatus of wind power generator
JP5033033B2 (en) Method for measuring turbulence intensity of horizontal axis wind turbine
CA2870776C (en) Methods and systems to shut down a wind turbine
US11422052B2 (en) System and method for diagnosing a rotor unbalance of a wind turbine
JP4885570B2 (en) Windmill sensor mechanism and windmill vibration reduction method
JP6352778B2 (en) Floating wind power generator and method for operating the same
CN107121118B (en) A kind of Wind turbines tower static rigidity circle analysis method
US20210148336A1 (en) A method for determining wind turbine blade edgewise load recurrence
CN105041584B (en) A kind of Wind turbines tower body slope meter calculates method
JP2020180563A (en) Wind power generation system and method for maintaining wind power generation device
CN115380160A (en) Frequency content based monitoring of wind turbine blade pitch systems
CN108035853B (en) Method and device for determining wind angle of wind generating set
CN206192338U (en) Wind turbine generator system foundation settlement and safe on -line monitoring device of a tower section of thick bamboo
JP5385700B2 (en) Horizontal axis windmill
CN113503231A (en) Tower inclination and foundation settlement evaluation method and system under variable working conditions of wind turbine generator
CN112855461A (en) Blade vibration monitoring method and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: 201612 302, room 18, No. 518, Xinzhuang Road, Xinqiao Town, Songjiang District, Shanghai -1

Applicant after: Shanghai Spectrum Technology Co., Ltd.

Address before: 201800 room 6035, Ping Cheng Road, Juyuan New District, Jiading District, Shanghai, China, 811

Applicant before: Shanghai Spectrum Technology Co., Ltd.

CB02 Change of applicant information
GR01 Patent grant
GR01 Patent grant