CN109973332A - Blade of wind-driven generator icing on-line monitoring method and device - Google Patents
Blade of wind-driven generator icing on-line monitoring method and device Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 51
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- 238000004458 analytical method Methods 0.000 claims abstract description 29
- 238000001514 detection method Methods 0.000 claims description 29
- 238000013480 data collection Methods 0.000 claims description 19
- 238000013075 data extraction Methods 0.000 claims description 4
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- 238000012545 processing Methods 0.000 abstract description 7
- 230000008014 freezing Effects 0.000 abstract description 5
- 238000007710 freezing Methods 0.000 abstract description 5
- 230000001427 coherent effect Effects 0.000 abstract 1
- 230000008859 change Effects 0.000 description 6
- 238000012806 monitoring device Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 5
- 230000008901 benefit Effects 0.000 description 3
- 238000011217 control strategy Methods 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
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- 238000004821 distillation Methods 0.000 description 2
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
- F03D80/40—Ice detection; De-icing means
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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
Abstract
Blade of wind-driven generator icing on-Line Monitor Device of the present invention, by installing load and vibrating sensor additional, it obtains the load on fan blade and vibrates live signal and work information, and the timing acquiring and analysis processing of vibration and coherent signal are carried out by data acquisition unit, thus to obtain the running state information of draught fan impeller equipment.It so as to automatic, acquisition in real time, storage, uploads, analysis data, can accurately identify whether blade freezes and estimate icing amount.Early warning is carried out in early days, it can be achieved that freezing in blade by the vibration and operating condition of monitoring blade.
Description
Technical field
The present invention relates to wind power generating set fault diagnosis fields, and in particular to a kind of blade of wind-driven generator icing is online
Monitoring method and device.
Background technique
Blade is one of the position of Wind turbines most critical, and the quality of state directly affects the operational safety and hair of complete machine
Electrical efficiency, blade are made of expensive composite material, and processing cost accounts for about 20% or so of entire unit.
During running of wind generating set, low temperature environment can bring acid test to blade or even entire blower, and list is just
For blade, low temperature environment, which will lead to the problem of ice formation issues occur for blade, material and structural behaviour change, load changes asks
Topic etc.；For the fan part of Wind turbines, when blade adheres to the ice sheet of larger quality, the frequency of fan blade can be changed
Rate, and then change its dynamic response behavior；Icing will lead to blade weighing imbalance or asymmetric, this can further result in blower
Component is affected；The frequency of fan part is changed due to freezing, it is possible to cause the resonance between component, also will increase blower
The fatigue load of component.Also, it freezes caused by low temperature and the rising of atmospheric density may will increase load and maximum power is defeated
Out, if blower could not react automatically, motor or transmission chain if, may be burned, and gear-box may occur to overload or damage.
Meanwhile the control system of Wind turbines also will receive influence, change the aerodynamic configuration of blade, due to freezing so as to cause leaf
Piece stall in advance or may be delayed than expected design, then the corresponding configuration of electronic or hydraulic vane change control should also change correspondingly.
The detection signal system that blade icing also results in blower breaks down to feedback error signal.
Above-mentioned blade icing bring a series of problems directly affects the safety of running of wind generating set and is possible to lead
Unit outage is caused, and the reduction of hours of operation will have a direct impact on the economy of Wind Power Project.Also, in addition to blower itself is run
Safety, the safety of ambient enviroment also will receive the influence of low temperature or icing.The ice sheet fragment dished out when fan operation
Or the berg fallen may hurt people or object near blower.
There is greatly harm since blade freezes, it is the problem of a global range in wind-powered electricity generation field at present.?
Hinterland especially mountain area, large scale blower can all be frozen by blade in operation and shutdown and be influenced, be endangered especially tight
Weight.Therefore, the method whether blade freezes can be known by how studying one kind, carry out fault diagnosis to unit at any time, in order to
Staff takes timely measure, this has a very important significance for the operation of Wind turbines.In the prior art in order to
Solve the problems, such as this, it will usually which the technological means of use is that freezing sensor is installed on blade, such as Chinese patent literature
CN206448908U discloses a kind of fan blade anti-icing and de-icing device, including fan blade, I-beam, diaphragm deck, nanometer
Material hydrophobic film, deicer and icing detector, wherein the nano material hydrophobic membrane is arranged by diaphragm deck in blower
The windward side of blade, I-beam are mounted on the outside of fan blade, and deicer is mounted on position above I-beam, icing detector
It is mounted on fan blade.The prior art is monitored blade using icing detector, to can determine whether blade is sent out
It is raw to freeze.
Although the above-mentioned prior art for carrying out icing monitoring to blade using icing detector can help to a certain extent
Judge whether blade freezes, but is monitored using icing detector and still has problems in that detection accuracy is not high enough.Separately
Outside, common icing detector has the sensor based on acoustic emission, but it is easy to be influenced to hold by extraneous various noises
It is also easy to produce erroneous judgement；Furthermore common there are also strain-ga(u)ge transducers, but since reliability is lower in extreme circumstances for strain transducer,
Practical function is simultaneously bad；And if the fiber-optic grating sensor relatively high using precision, there are difficult to install, expensive
The problem of, it is difficult to large-scale promotion in practical applications.Therefore, how to explore that a kind of monitoring accuracy is high, cheap blade
Icing on-Line Monitor Device and corresponding monitoring method, this is the technical issues of this field not yet solves.
Summary of the invention
That the invention solves detection accuracy existing for blade icing monitoring device in the prior art is low, reliability is low or
The technical issues of involving great expense, and then a kind of high monitoring accuracy, cheap blade icing on-Line Monitor Device and prison are provided
Survey method.
The present invention solves the technical solution that above-mentioned technical problem uses are as follows:
A kind of blade of wind-driven generator icing on-line monitoring method, comprising: (1) acquisition of basic data: it is not tied in blade
Under ice-like state, the load data of at least one blade, the basic value of vibration data and work information data are acquired, wherein the work
Condition information data includes blade rotational speed data, blade pitch angular data, the power data of wind-driven generator, wind-driven generator place
The air speed data and wind direction data of position；(2) freeze on-line monitoring: after completing the data acquisition in step (1), monitoring the leaf
Load data, vibration data and the work information data of piece, and by load data monitor value and vibration data monitor value respectively with
Corresponding load data basic value and vibration data basic value are compared under the conditions of work information data are identical or essentially identical,
Calculate deviation；When the load data monitor value and vibration data monitor value that have at least one blade and its load data basic value and
Blade icing occurs for judgement when first statistical value of the absolute value of the bias of vibration data basic value is greater than threshold value.
In step (1) and (2), when the load data monitor value and vibration data monitor value that have at least one blade are carried with it
Leaf occurs for judgement when first statistical value of the absolute value of the bias of lotus data basis value and vibration data basic value is greater than first threshold
Piece freezes.
The load data of three blades, the basic value of vibration data and work information data, step are acquired in step (1) simultaneously
Suddenly when the load data monitor value and vibration data monitor value and its load data basic value and vibration for having at least one blade in (2)
When first statistical value of the absolute value of the bias of dynamic data basis value is greater than first threshold, or in three blades, each blade
Deviation respectively between the average value of the corresponding basic value of three blades of load data monitor value and vibration data monitor value it is exhausted
When being greater than second threshold to the second statistical value of value, judge that blade, which occurs, to freeze.
The work information data of the blade further include vane propeller-changing data.
It further include the basic value for acquiring the temperature data of blade in the step (1)；In step (2), the blade is monitored
Load data, vibration data, work information data and temperature data, and by load data monitor value and vibration data monitor value
Corresponding load data basic value and vibration under the conditions of all the same or essentially identical with work information data and temperature data respectively
Data basis value is compared.
First statistical value is the accumulated value or average value of absolute value of the bias；Each blade corresponding described first counts
Value is proportional to substantially with the icing amount on the blade, when blade icing occurs for judgement in step (2), according to described first
Statistical value estimates the icing amount on the blade.
Icing on-Line Monitor Device based on the blade of wind-driven generator icing on-line monitoring method, comprising: data
Acquisition unit, the data acquisition unit include the sensor module and data for acquiring blade loading signal and vibration signal
Acquisition station, wherein the sensor is mounted on the inner surface of at least one blade；Data exchange unit is acquired with the data
It stands communication, receive the monitoring signals of the data collection station transmitting and is transmitted to looped network；Fault detection analysis unit, described in reception
The data information of data exchange unit transmitting, while the fault detection analysis unit also connects with wind power generator control system
It connects, for receiving the work information data of blade, the fault detection analysis unit handles the information received, and will
Corresponding load under the conditions of load data monitor value and vibration data monitor value are identical or essentially identical with work information data respectively
Lotus data basis value and vibration data basic value are compared, and calculate deviation, judge whether that blade, which occurs, to freeze.
There are three sensor, three sensors are separately mounted to the interior table of three blades for the sensor module setting
On face；The data collection station is connect with the sensor by signal cable, is suitable for acquiring the monitoring letter of the sensor
Number, the data collection station is mounted in the wheel hub at three blade centers.
The fault detection analysis unit includes: basic data extraction module, when obtaining monitor value for comparing and is acquired
Work information data when the basic value of the load data and vibration data, identical or basic phase when finding with acquisition monitor value
The basic value and its corresponding load data basic value and vibration data basic value of same work information data；Fault condition judgement
Module is stored with threshold value, for calculating the load data monitor value and vibration data monitor value and its load data of the blade
First statistical value of the absolute value of the bias of basic value and vibration data basic value, and by first statistical value and the threshold value into
Row compares, and judges whether blade freezes；The fault detection analysis unit is additionally provided with icing amount estimation block, the icing amount
Estimation block estimates the icing amount on the blade according to first statistical value.
The sensor is the integration module of load transducer, vibrating sensor module and temperature sensor module；It is described
Blade of wind-driven generator icing on-Line Monitor Device is additionally provided with alarm module, and the alarm module and the fault condition judge
Warning message is fed back to wind power generator when fault condition judgment module judgement freezes by module connection setting
Control system adjusts its control strategy, while the alarm module is alarmed.
The advantages of blade of wind-driven generator icing on-line monitoring method of the present invention and monitoring device, is:
The present invention uses wideband (ultralow frequency to high frequency) vibration, load and the temperature to 1-3 blade of wind-driven generator
The method being monitored.By real-time monitoring blade vibration, the information of load and temperature various aspects, and combine revolving speed, wind speed, function
The fan operations work information such as rate, variable pitch, yaw, to analyze the ice condition of fan blade, detection accuracy with higher, phase
It is cheap than in being used for optical sensor carries out the technology of icing detection in the prior art, it is suitable for universal on a large scale.
Blade of wind-driven generator icing on-Line Monitor Device of the present invention, by installing load and vibrating sensor additional,
It obtains the load on fan blade and vibrates live signal and work information, and vibration and correlation are carried out by data acquisition unit
The timing acquiring of signal and analysis processing, thus to obtain the running state information of draught fan impeller equipment.So as to automatic, real-time
Ground acquisition storage, uploads, analysis data, can accurately identify whether blade freezes and estimate icing amount.Pass through monitoring
Vibration and the operating condition of blade carry out early warning, it can be achieved that freezing in blade in early days.
In addition, can also give full play to exper ienced diagnostician to units remote monitoring and diagnosis and carry out equipment
Status monitoring provides diagnostic analysis suggestion, ensures that equipment on-line monitoring effective carries out.
In order to make the technical solution of blade of wind-driven generator icing on-line monitoring method of the present invention and monitoring device
It is more clearly understood, the technical solution in the present invention is further described with attached drawing With reference to embodiment.
Detailed description of the invention
It is the scheme of installation of blade of wind-driven generator icing on-Line Monitor Device of the present invention as shown in Figure 1；
Wherein appended drawing reference are as follows:
1- blade；2- sensor；3- data collection station；Wheel hub at tri- blade centers of 4-；5- data exchange unit；6-
Fault detection analysis unit；7- Terminal Server Client.
Specific embodiment
Hereinafter, certain exemplary embodiments are simply just described.As one skilled in the art will recognize that
Like that, without departing from the spirit or scope of the present invention, described embodiment can be modified by various different modes.
Therefore, attached drawing and description are considered essentially illustrative rather than restrictive.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing or method described as flow chart.Although operations are described as the processing of sequence by flow chart, therein to be permitted
Multioperation can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of operations can be rearranged.When it
The processing can be terminated when operation completion, it is also possible to have the additional step being not included in attached drawing.The processing
It can correspond to method, function, regulation, subroutine, subprogram etc..
Embodiment 1
Present embodiments provide a kind of blade of wind-driven generator icing on-Line Monitor Device, comprising: data acquisition unit, institute
Stating data acquisition device includes sensor 2 and data collection station 3, and in the present embodiment, the sensor 2 is vibrating sensor module
With the integration module of load transducer, it is suitable for acquiring load signal and the vibration of the blade 1 of 2 installed position of sensor
Signal.The data collection station 3 is connect with the sensor 2 by signal cable, is suitable for acquiring the monitoring of the sensor 2
Signal, the data collection station 3 are mounted in the wheel hub 4 at three 1 centers of blade.Wherein the sensor 2 is mounted on
On the inner surface of at least one blade 1, as preferred embodiment, there are three the settings of sensor 2 described in the present embodiment, point
It is not mounted on the inner surface of three blades 1；It is long that the distance between the sensor 2 and the wheel hub 4 are no more than the blade
The half of degree, as preferred embodiment, it is long that the distance between the sensor 2 and the wheel hub 4 account for the blade
/ 6th of degree.
The on-Line Monitor Device is additionally provided with data exchange unit 5 and fault detection analysis unit 6, the data exchange
Unit 5 is connect with the data collection station 3, is received the monitoring signals that the data collection station 3 transmits and is transmitted to looped network.This reality
Applying data exchange unit 5 described in example is interchanger.
Fault detection analysis unit 6 is server, the data information transmitted for receiving the data exchange unit 5, together
Shi Suoshu fault detection analysis unit 6 is also connect with wind power generator control system, for receiving the work information number of blade 1
According to, and warning message is fed back into wind power generator control system and adjusts its control strategy；The fault detection analysis unit 6 is right
The information received is handled, periodically by the load data and vibration data monitor value and with obtain monitor value when operating condition
The corresponding load data and vibration data basic value are compared under the conditions of information data is identical or essentially identical, calculate
Inclined absolute value of the difference；Vibration data described in the present embodiment is amplitude data, and load data is load amplitude data；When having at least
The load data monitor value and vibration data monitor value of one blade 1 and its load data and vibration data basic value it is described partially
Blade icing occurs for judgement when first statistical value of absolute value of the difference is greater than first threshold, and first statistical value may be configured as tiring out
Value added or average value, using the average value of the inclined absolute value of the difference as judgment basis in the present embodiment, corresponding described
One threshold value is 9%.Or in three blades 1, the load data monitor value and vibration data monitor value of each blade 1 respectively with
When second statistical value of the absolute value of the bias between the average value of three corresponding basic values of blade 1 is greater than second threshold, judge to send out
Leave piece freezes, and the second threshold is 16%.
As preferred embodiment, the fault detection analysis unit 6 further comprises: basic data extraction module,
When obtaining monitor value for comparing with work information data when acquiring the load data and vibration data basic value, find with
The basic value of identical or essentially identical work information data and its corresponding load data and vibration data when acquisition monitor value
Basic value；Fault condition judgment module is stored with the threshold value, for calculating the load data and vibration data of the blade 1
The inclined absolute value of the difference of monitor value and its load data and vibration data basic value, and by the inclined absolute value of the difference and institute
It states threshold value to be compared, judges whether blade 1 freezes.The fault detection analysis unit 6 is additionally provided with icing amount estimation block,
The icing amount estimation block estimates the icing amount on the blade 1 according to the average value.
The monitoring device is additionally provided with Terminal Server Client 7, and the Terminal Server Client 7 is suitable for through internet access institute
State fault detection analysis unit 6.
Use the on-line monitoring method of on-Line Monitor Device described in the present embodiment, comprising:
(1) acquisition of basic data: under blade 1 not icing condition, the load data basis of at least one blade 1 is acquired
The basic value of value and vibration data basic value and the work information data of blade 1, wherein the work information data include blade
Rotary speed data, the power data of wind-driven generator, the air speed data of wind-driven generator position and wind direction data；
(2) freeze on-line monitoring: after completing the data acquisition in step (1), monitoring load data and the vibration of the blade 1
The work information data of dynamic data and blade 1, and timing is by load data and vibration data monitor value and when with obtaining monitor value
Work information data it is identical or essentially identical under the conditions of the corresponding load data and vibration data basic value be compared,
Calculate the absolute value to deviate；When the load data monitor value and vibration data monitor value and its load for having at least one blade 1
When the average value of the inclined absolute value of the difference of data basis value and vibration data basic value is greater than first threshold, or when three blades
In 1, the average value of the load data monitor value and vibration data monitor value of each blade 1 basic value corresponding to three blades respectively
Between absolute value of the bias the second statistical value be greater than second threshold when, judge occur blade freeze.
When judging that blade freezes, the accumulated value or flat of the corresponding absolute value of the bias of each blade is further calculated
Mean value is proportional to substantially with the icing amount on the blade, when blade icing occurs for judgement in step (2), according to described tired
Value added or average value estimates the icing amount on the blade.
It should be noted that load data described in the present embodiment and vibration data monitor value and its load data and vibration
The first statistical value, that is, average value calculation method of the inclined absolute value of the difference S of dynamic data basis value are as follows:
S=(| (load data monitor value-load data basic value)/load data basic value |+| (vibration data monitoring
Value-vibration data basic value)/vibration data basic value |)/2 × 100%.
In three blades of the present embodiment, the load data monitor value and vibration data monitor value of each blade 1 respectively with
The calculation method of second statistical value Σ S of the absolute value of the bias between the average value of three corresponding basic values of blade 1 are as follows:
S1=(| (average value of the load data basic value of first blade loading data monitoring-three blade of value)/tri-
The average value of the load data basic value of a blade |+| (vibration data of first blade vibration data monitoring-three blade of value
The average value of basic value)/tri- blades vibration data basic value average value |)/2 × 100%
S2=(| (average value of the load data basic value of second blade loading data monitoring-three blade of value)/tri-
The average value of the load data basic value of a blade |+| (vibration data of second blade vibration data monitoring-three blade of value
The average value of basic value)/tri- blades vibration data basic value average value |)/2 × 100%
S3=(| (average value of the load data basic value of third blade loading data monitoring-three blades of value)/tri-
The average value of the load data basic value of a blade |+| (vibration data of third blade vibration data monitoring-three blades of value
The average value of basic value)/tri- blades vibration data basic value average value |)/2 × 100%
Σ S=S1+S2+S3
As selectable embodiment, second statistical value may be set to be first statistical value of three blades
Accumulated value.
The operating condition when load data and vibration data basic value is compared when obtaining monitor value and acquired in the present embodiment
Information data is found and the basic value and its corresponding load of work information data identical or essentially identical when acquisition monitor value
Data basis value and vibration data basic value, when extracting the basic value of the work information data, advantage distillation and acquisition are supervised
The corresponding load data of basic value of identical work information data and vibration data basic value object as a comparison when measured value；When
There is no with phase basic when the basic value of identical work information data, extracted when obtaining monitor value with acquisition monitor value
With work information data the corresponding load data basic value of basic value and vibration data basic value object as a comparison, herein
" basic values of essentially identical work information data " refer to work information data basis value and obtain monitor value when operating condition
The inclined absolute value of the difference between each item data in information data is respectively less than 5%, during the extraction process, when there are multiple basic
When the basic value of identical work information data, choose immediate work information data the corresponding load data of basic value and
Vibration data basic value object as a comparison.As selectable embodiment, the base of the immediate work information data
Plinth value refers to that the accumulated value of the inclined absolute value of the difference in basic value between each item data and monitoring data is minimum, i.e., successively calculates
Blade rotational speed data when obtaining monitor value, the power data of wind-driven generator, wind-driven generator position air speed data and
Inclined absolute value of the difference existing for wind direction data and basic data, and added up to get accumulated value is arrived.
Using on-Line Monitor Device and on-line monitoring method described in the present embodiment in winter to Wind turbines generator into
It goes to freeze and monitor, the accuracy rate monitored that judges to freeze is greater than 80%, between the simulation estimate value and practical icing amount to icing amount
Error be less than ± 5%.
Embodiment 2
Present embodiments provide a kind of blade of wind-driven generator icing on-Line Monitor Device, comprising: data acquisition unit, institute
Stating data acquisition device includes sensor 2 and data collection station 3, and in the present embodiment, the sensor 2 is vibrating sensor module
With the integration module of load transducer and temperature sensor module, it is suitable for acquiring the leaf of 2 installed position of sensor
The load signal and vibration signal and temperature data of piece 1.Wherein the sensor 2 is mounted on the interior table of at least one blade 1
On face, as preferred embodiment, there are three the settings of sensor 2 described in the present embodiment, is separately mounted to three blades 1
On inner surface；The data collection station 3 is mounted in the wheel hub 4 at three 1 centers of blade, the sensor 2 with it is described
The distance between wheel hub is no more than the half of the length of blade, as preferred embodiment, the sensor 2 and institute
State the one third that the distance between wheel hub accounts for the length of blade.The data collection station 3 passes through signal with the sensor 2
Cable connection, is suitable for acquiring the monitoring signals of the sensor 2.
The on-Line Monitor Device is additionally provided with data exchange unit 5 and fault detection analysis unit 6, the data exchange
Unit 5 is connect with the data collection station 3, is received the monitoring signals that the data collection station 3 transmits and is transmitted to looped network.This reality
Applying data exchange unit 5 described in example is interchanger.
Fault detection analysis unit 6 is server, the data information transmitted for receiving the data exchange unit 5, together
Shi Suoshu fault detection analysis unit 6 is also connect with wind power generator control system, for receiving the work information number of blade 1
According to, and warning message is fed back into wind power generator control system and adjusts its control strategy；The fault detection analysis unit 6 is right
The information received is handled, periodically by the load data and vibration data monitor value and with obtain monitor value when operating condition
The corresponding load data and vibration data basic value are compared under the conditions of information data is identical or essentially identical, calculate
Inclined absolute value of the difference；Vibration data described in the present embodiment is amplitude data；Load data is load amplitude data；When having at least
The load data monitor value and vibration data monitor value of one blade 1 and its load data and vibration data basic value it is described partially
Blade icing occurs for judgement when first statistical value of absolute value of the difference is greater than first threshold, and first statistical value may be configured as tiring out
Value added or average value, using the average value of the inclined absolute value of the difference as judgment basis in the present embodiment, corresponding described
One threshold value is 9%.Or in three blades 1, the load data monitor value and vibration data monitor value of each blade 1 respectively with
When second statistical value of the absolute value of the bias between the average value of the corresponding basic value of three blades is greater than second threshold, judge to occur
Blade freezes, and the second threshold is 16%.
As preferred embodiment, the fault detection analysis unit 6 further comprises: basic data extraction module,
When obtaining monitor value for comparing with work information data when acquiring the load data and vibration data basic value, find with
The basic value of identical or essentially identical work information data and its corresponding load data and vibration data when acquisition monitor value
Basic value；Fault condition judgment module is stored with the threshold value, for calculating the load data and vibration data of the blade 1
The inclined absolute value of the difference of monitor value and its load data and vibration data basic value, and by the inclined absolute value of the difference and institute
It states threshold value to be compared, judges whether blade freezes.The fault detection analysis unit 6 is additionally provided with icing amount estimation block,
Icing amount on icing amount estimation block blade 1 according to the mean value calculation.
The monitoring device is additionally provided with Terminal Server Client, and the Terminal Server Client is suitable for by described in internet access
Fault detection analysis unit 6.
As preferred embodiment, the monitoring device in the present embodiment is additionally provided with alarm module, the alarm module
It is connect setting with the fault condition judgment module, when fault condition judgment module judgement freezes, the alarm
Module sounds an alarm.
Blade of wind-driven generator icing on-line monitoring method based on on-Line Monitor Device described in the present embodiment, comprising:
(1) under blade 1 not icing condition, the load data and vibration data base of at least one blade 1 acquisition of basic data: are acquired
The basic value of the work information data of the basic value and blade 1 of plinth value and the temperature data of blade 1, wherein the work information
Data include blade rotational speed data, the power data of wind-driven generator, wind-driven generator position air speed data and wind direction
Data, the pitch angle-data of variable pitch and vane propeller-changing data；
(2) freeze on-line monitoring: after completing the data acquisition in step (1), monitoring load data and the vibration of the blade 1
The temperature data of the work information data and blade 1 of dynamic data and blade 1, and load data and vibration data are supervised in timing
Measured value and with when obtaining monitor value work information data and temperature data it is all the same or essentially identical under the conditions of it is corresponding described
Load data and vibration data basic value are compared, and calculate the absolute value to deviate；
When the load data monitor value and vibration data monitor value and its load data and vibration number for having at least one blade 1
Judgement generation blade freezes when being greater than first threshold according to the first statistical value of the inclined absolute value of the difference of basic value, and described first
Statistical value may be configured as accumulated value or average value, in the present embodiment using the average value of the inclined absolute value of the difference as judge according to
According to the corresponding first threshold is 9%.Or in three blades, the load data monitor value of each blade and vibration
Second statistical value of the data monitoring value absolute value of the bias between the average value of basic value corresponding to three blades respectively is greater than the
When two threshold values, judge that blade, which occurs, to freeze, the second threshold is 16%.
The calculation method of second statistical value Σ S of the first statistical value S described in the present embodiment and three blades is the same as real
Apply example 1.
The work information when load and vibration data basic value is compared when obtaining monitor value and acquired in the present embodiment
Data are found and the basic value of work information data identical or essentially identical when acquisition monitor value and its corresponding load and vibration
Dynamic data basis value, when extracting the basic value of the work information data, identical work when advantage distillation is with acquisition monitor value
Condition information data and the corresponding load of the basic value of temperature data and vibration data basic value object as a comparison；When there is no with
Identical work information data and when the basic value of temperature data when obtaining monitor value, it is basic when extracting with acquisition monitor value
Identical work information data and the corresponding load of basic value and vibration data basic value of temperature data object as a comparison, this
" basic values of essentially identical work information data " at place refer to the base of temperature data and temperature data when obtaining monitor value
The inclined absolute value of the difference of plinth value is less than 5%；Obtain monitor value when work information data in each item data and basic value it
Between inclined absolute value of the difference be also respectively less than 5%, during the extraction process, when there are multiple essentially identical basic values, choose most
The corresponding load of basic value and vibration data basic value of close work information data object as a comparison.As selectable
The basic value of embodiment, the immediate work information data refers in basic value between each item data and monitoring data
Inclined absolute value of the difference accumulated value it is minimum.The calculation method of accumulated value described in the present embodiment are as follows: include operating condition for one group
The basic value of information data and temperature data successively calculates blade rotational speed data, the power data of wind-driven generator, wind-power electricity generation
The air speed data and wind direction data and monitoring data, the pitch angle-data of variable pitch and vane propeller-changing data basis of machine position
Value and inclined absolute value of the difference existing for monitor value, and add up, obtain part accumulated value.Calculate temperature data basic value with
Inclined absolute value of the difference existing for monitoring data obtains temperature deviation value, and the temperature deviation value adds up again with part accumulated value,
Obtain the accumulated value.
Using on-Line Monitor Device and on-line monitoring method described in the present embodiment in winter to Wind turbines generator into
Row, which freezes, to be monitored, and the accuracy rate of monitoring is greater than 90%, and the error between simulation estimate value and practical icing amount to icing amount is small
In ± 5%.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (10)
1. a kind of blade of wind-driven generator icing on-line monitoring method characterized by comprising
(1) under blade not icing condition, load data, the vibration data of at least one blade the acquisition of basic data: are acquired
With the basic value of work information data, wherein the work information data include blade rotational speed data, blade pitch angular data, wind
The power data of power generator, wind-driven generator position air speed data and wind direction data；
(2) freeze on-line monitoring: after completing the data acquisition in step (1), monitoring load data, the vibration data of the blade
It is and load data monitor value and vibration data monitor value is identical or basic as work information data respectively with work information data
Corresponding load data basic value and vibration data basic value are compared under the same terms, calculate deviation；When there is at least one
The load data monitor value of blade and the deviation of vibration data monitor value and its load data basic value and vibration data basic value
Blade icing occurs for judgement when first statistical value of absolute value is greater than threshold value.
2. blade of wind-driven generator icing on-line monitoring method according to claim 1, which is characterized in that step (1) and
(2) in, when the load data monitor value and vibration data monitor value and its load data basic value and vibration for having at least one blade
Blade icing occurs for judgement when first statistical value of the absolute value of the bias of dynamic data basis value is greater than first threshold.
3. blade of wind-driven generator icing on-line monitoring method according to claim 2, which is characterized in that in step (1)
The basic value of the load datas of three blades, vibration data and work information data is acquired simultaneously, when having at least one in step (2)
The load data monitor value and vibration data monitor value of a blade and its load data basic value and vibration data basic value it is inclined
When first statistical value of poor absolute value is greater than first threshold, or in three blades, the load data monitor value of each blade
And the second statistical value of the vibration data monitor value absolute value of the bias between the average value of basic value corresponding to three blades respectively
When greater than second threshold, judge that blade, which occurs, to freeze.
4. blade of wind-driven generator icing on-line monitoring method according to claim 1 or 2 or 3, which is characterized in that described
The work information data of blade further include vane propeller-changing data.
5. blade of wind-driven generator icing on-line monitoring method according to claim 4, which is characterized in that the step
It (1) further include the basic value for acquiring the temperature data of blade in；In step (2), load data, the vibration number of the blade are monitored
According to, work information data and temperature data, and by load data monitor value and vibration data monitor value respectively with work information number
According to and temperature data it is all the same or essentially identical under the conditions of corresponding load data basic value and vibration data basic value compared
It is right.
6. -5 any blade of wind-driven generator icing on-line monitoring method according to claim 1, which is characterized in that described
First statistical value is the accumulated value or average value of absolute value of the bias；Each corresponding first statistical value of blade and the blade
On icing amount be proportional to substantially, when judgement occurs blade and freezes in step (2), institute is estimated according to first statistical value
State the icing amount on blade.
7. based on the icing on-Line Monitor Device of blade of wind-driven generator icing on-line monitoring method described in claim 1,
It is characterized in that, comprising:
Data acquisition unit, the data acquisition unit include the sensor die for acquiring blade loading signal and vibration signal
Block and data collection station, wherein the sensor is mounted on the inner surface of at least one blade；
Data exchange unit is communicated with the data collection station, receives the monitoring signals of the data collection station transmitting and transmission
To looped network；
Fault detection analysis unit receives the data information of the data exchange unit transmitting, while the fault detection analysis
Unit is also connect with wind power generator control system, for receiving the work information data of blade, the fault detection analysis list
Member handles the information received, and by load data monitor value and vibration data monitor value respectively with work information data
Corresponding load data basic value and vibration data basic value are compared under the conditions of identical or essentially identical, calculate deviation, sentence
It is disconnected that blade icing whether occurs.
8. icing on-Line Monitor Device according to claim 7, which is characterized in that there are three the sensor module settings
Sensor, three sensors are separately mounted on the inner surface of three blades；The data collection station and the sensor
It is connected by signal cable, is suitable for acquiring the monitoring signals of the sensor, the data collection station is mounted on three
In wheel hub at blade center.
9. blade of wind-driven generator icing on-Line Monitor Device according to claim 8, which is characterized in that the failure inspection
Surveying analytical unit includes: basic data extraction module, is used to compare when obtaining monitor value and acquire the load data and vibration
Work information data when the basic value of data are found and work information data identical or essentially identical when acquisition monitor value
Basic value and its corresponding load data basic value and vibration data basic value；
Fault condition judgment module, is stored with threshold value, for calculating the load data monitor value and vibration data prison of the blade
First statistical value of measured value and the absolute value of the bias of its load data basic value and vibration data basic value, and described first is united
Evaluation is compared with the threshold value, judges whether blade freezes；
The fault detection analysis unit is additionally provided with icing amount estimation block, and the icing amount estimation block is according to described first
Statistical value estimates the icing amount on the blade.
10. blade of wind-driven generator icing on-Line Monitor Device according to claim 9, which is characterized in that the sensing
Device is the integration module of load transducer, vibrating sensor module and temperature sensor module；The blade of wind-driven generator knot
Ice on-Line Monitor Device is additionally provided with alarm module, and the alarm module connect setting with the fault condition judgment module, when
When the fault condition judgment module judgement freezes, warning message is fed back into wind power generator control system and adjusts its control
System strategy, while the alarm module is alarmed.
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| CN201711438963.XA CN109973332A (en) | 2017-12-27 | 2017-12-27 | Blade of wind-driven generator icing on-line monitoring method and device |
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| CN201711438963.XA CN109973332A (en) | 2017-12-27 | 2017-12-27 | Blade of wind-driven generator icing on-line monitoring method and device |
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| CN111177641A (en) * | 2019-12-23 | 2020-05-19 | 中国能源建设集团江苏省电力设计院有限公司 | Wire temperature rise evaluation method under high wind speed |
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