CN109488528A - A kind of method of adjustment and device of fan yaw system - Google Patents

A kind of method of adjustment and device of fan yaw system Download PDF

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Publication number
CN109488528A
CN109488528A CN201811406974.4A CN201811406974A CN109488528A CN 109488528 A CN109488528 A CN 109488528A CN 201811406974 A CN201811406974 A CN 201811406974A CN 109488528 A CN109488528 A CN 109488528A
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wind
wind speed
speed range
angle
data
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CN109488528B (en
Inventor
袁兴德
王铁强
曾垂宽
葛文涛
兰水泉
张幼
逄增强
王道欣
孙杨
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Huarun Power Technology Research Institute Co Ltd
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Huarun Power Technology Research Institute Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D7/00Controlling wind motors 
    • F03D7/02Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/04Automatic control; Regulation
    • F03D7/042Automatic control; Regulation by means of an electrical or electronic controller
    • F03D7/043Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic
    • F03D7/045Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic with model-based controls
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D7/00Controlling wind motors 
    • F03D7/02Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/0204Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor for orientation in relation to wind direction
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/30Control parameters, e.g. input parameters
    • F05B2270/32Wind speeds
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Wind Motors (AREA)

Abstract

A kind of method of adjustment and device of fan yaw system, comprising: obtain the sample data of fan operation state;It is segmented according to sample data and preset wind speed range, wind angle-power curve corresponding with the segmentation of each wind speed range is generated by preset artificial intelligence model of fit;According to wind angle-power curve corresponding with the segmentation of each wind speed range, calculate corresponding with wind speed range segmentation most preferably to wind angle;According to numerical intervals of all wind speed ranges segmentation and corresponding with the segmentation of all wind speed ranges most preferably to wind angle, calculate integrally most preferably to wind angle;Wind is adjusted according to whole most preferably yawed to wind angle to blower.Implement the method for adjustment and device of fan yaw system, wind angle to fan yaw can adjust wind by optimal, the precision that yaw adjusts wind can be improved, and the adjustment technology for existing fan yaw system provides a kind of reference scheme, to reduce limitation.

Description

A kind of method of adjustment and device of fan yaw system
Technical field
The present invention relates to data processing fields, in particular to the method for adjustment and device of a kind of fan yaw system.
Background technique
Currently, the relevant technologies of fan yaw system are generally included to the optimisation technique of Yaw Control Strategy and based on school The wind direction collimation technique of quasi- anemoscope.However, it has been found in practice that can make partially when focusing on two kinds of above-mentioned technologies It navigates poor to the precision of wind, the effect of optimization so as to cause Yaw Control Strategy is not good enough, can even more directly affect blower The ability of wind energy and the size of generated energy are captured, therefore the adjustment technology of existing fan yaw system still has certain limitation Property.
Summary of the invention
It in view of the above problems, can be by most the present invention provides the method for adjustment and device of a kind of fan yaw system It is good that wind angle adjust wind to fan yaw, the precision that yaw adjust wind can be improved, and be existing The adjustment technology of fan yaw system provides a kind of reference scheme, to reduce limitation.
To achieve the goals above, the present invention adopts the following technical scheme that:
First aspect present invention discloses a kind of method of adjustment of fan yaw system, comprising:
Obtain the sample data of fan operation state;
Be segmented according to the sample data and preset wind speed range, by preset artificial intelligence model of fit generate with Each wind speed range is segmented corresponding wind angle-power curve;
According to wind angle-power curve corresponding with each wind speed range segmentation, calculates and be segmented with the wind speed range It is corresponding most preferably to wind angle;
According to the numerical intervals of all wind speed ranges segmentations and it is corresponding with all wind speed range segmentations most preferably To wind angle, calculate whole most preferably to wind angle;
Most preferably wind angle yaws the blower according to the entirety, wind is adjusted.
As an alternative embodiment, in first aspect present invention, the sample for obtaining fan operation state Data, comprising:
The initial data of fan operation state is obtained, and integrity detection is carried out to the initial data, to remove blower The interference data of abnormal running obtain the first processing data;
Processing is filtered to the first processing data, to remove operation data of the blower under abnormality, Obtain second processing data;
Screening Treatment is carried out to the second processing data by preset blade icing analysis model, to reject the wind Power down data caused by machine freezes because of blade obtains third processing data;
Screening Treatment is carried out to third processing data using density-based algorithms, to reject the non-blower Noise data caused by reason is yawed, sample data is obtained.
As an alternative embodiment, in first aspect present invention, operation of the blower under abnormality Data include abnormal data of operation data, the blower of the blower in the case where limiting power rating under illegal abnormality, And one or more of the fault data because being remained unchanged for a long time caused by sensing device failure on the blower.
As an alternative embodiment, in first aspect present invention, it is described to use density-based algorithms Screening Treatment is carried out to third processing data and obtains sample to reject noise data caused by the non-fan yaw reason Notebook data, comprising:
Wind speed-power curve of the blower is generated according to the sample data;
Clustering is carried out to the wind speed-power curve using density-based algorithms, extracts the wind speed-function Data dot density is higher than the scatterplot data of preset threshold in rate curve;
Screening Treatment is carried out to third processing data according to the scatterplot data, it is former to reject the non-fan yaw The noise data because caused by, obtains sample data.
As an alternative embodiment, in first aspect present invention, according to the sample data and preset wind The segmentation of fast range generates wind angle-corresponding with each wind speed range segmentation by preset artificial intelligence model of fit Power curve, comprising:
It is segmented, is calculated corresponding with each wind speed range segmentation according to the sample data and preset wind speed range The power average value of power data;
It is segmented corresponding power average value according to each wind speed range, it is raw by preset artificial intelligence model of fit At wind angle-power curve corresponding with each wind speed range segmentation.
As an alternative embodiment, in first aspect present invention, the basis and each wind speed range It is segmented corresponding wind angle-power curve, is calculated corresponding with wind speed range segmentation most preferably to wind angle, comprising:
Rejecting processing is carried out to all wind angle-power curve, to reject wind direction of the radian in default arc range Angle-power curve obtains wind angle-power curve to be processed;
The corresponding wind angle of maximum power in each wind angle-power curve to be processed is obtained, is waited for as with this Wind angle-power curve of processing corresponds to the best to wind angle of wind speed range segmentation.
As an alternative embodiment, in first aspect present invention, it is described according to all wind speed ranges point Numerical intervals of section and corresponding with all wind speed range segmentations most preferably to wind angle calculate integrally most preferably to wind angle, Include:
It is corresponding most preferably to wind angle according to all wind speed ranges segmentations, calculate wind angle candidate section, and from pre- If wind speed range segmentation in be chosen at multiple wind speed ranges segmentations to be processed in wind angle candidate section;
According to the sample data and multiple wind speed range segmentations to be processed, calculate and each described to be processed The corresponding yaw of wind speed range segmentation is to windage losses;
According to each corresponding yaw of wind speed range segmentation to be processed to windage losses and the sample data, pass through It is bent that the artificial intelligence model of fit generates ideal wind angle-power corresponding with each wind speed range segmentation to be processed Line;
According to each corresponding ideal wind angle-power curve of wind speed range segmentation to be processed and the sample number According to calculating generated energy lifting capacity corresponding with each wind speed range segmentation to be processed;
According to generated energy lifting capacity corresponding with all wind speed range segmentations to be processed, obtain maximum with numerical value The corresponding wind speed range segmentation to be processed of generated energy lifting capacity, is segmented as target wind speed range;
The corresponding yaw of target wind speed range segmentation is obtained to windage losses, as a whole most preferably to wind angle.
Second aspect of the present invention discloses a kind of adjustment device of fan yaw system, comprising:
Module is obtained, for obtaining the sample data of fan operation state;
Generation module passes through preset artificial intelligence for being segmented according to the sample data and preset wind speed range Model of fit generates wind angle-power curve corresponding with each wind speed range segmentation;
First computing module, for according to wind angle-power curve corresponding with each wind speed range segmentation, calculating It is corresponding with wind speed range segmentation most preferably to wind angle;
Second computing module, for according to the numerical intervals of all wind speed ranges segmentations and with all wind speed models It is corresponding most preferably to wind angle to enclose segmentation, calculates whole most preferably to wind angle;
Module is adjusted, wind is adjusted for most preferably being yawed to wind angle to the blower according to the entirety.
Third aspect present invention discloses a kind of computer equipment, including memory and processor, and the memory is used for Computer program is stored, the processor runs the computer program so that the computer equipment executes first aspect and discloses The some or all of fan yaw system method of adjustment.
Fourth aspect present invention discloses a kind of computer readable storage medium, is stored with computer described in the third aspect The computer program used in equipment.
The method of adjustment and device of the fan yaw system provided according to the present invention, can be by obtaining current wind movement Data information, and the optimal angle of wind energy is analyzed according to the data information, determine that the angle is most preferably to wind angle, last root Most preferably wind angle yaws blower according to this, wind is adjusted.As it can be seen that implement this embodiment, it can be from the angle of wind energy Blower is yawed, wind is adjusted, so as to improve the precision that yaw adjusts wind, and can be inclined in existing blower The Adjusted Option that this kind of fan yaw system is used in the adjustment technology of boat system, to reduce limitation.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair The restriction of the scope of the invention.
Fig. 1 is a kind of flow diagram of the method for adjustment for fan yaw system that the embodiment of the present invention one provides;
Fig. 2 is a kind of flow diagram of the method for adjustment of fan yaw system provided by Embodiment 2 of the present invention;
Fig. 3 is a kind of structural schematic diagram of the adjustment device for fan yaw system that the embodiment of the present invention three provides.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
For the problems of the prior art, the present invention provides the methods of adjustment and device of a kind of fan yaw system, can With the data information moved by obtaining current wind, and the optimal angle of wind energy is analyzed according to the data information, determines the angle Degree is finally most preferably to be yawed to wind angle to blower according to this and adjusted to wind most preferably to wind angle.As it can be seen that implementing this reality Apply mode, blower can be yawed from the angle of wind energy and wind is adjusted, so as to improve yaw wind is adjusted it is accurate Degree, and the Adjusted Option of this kind of fan yaw system can be used in the adjustment technology of existing fan yaw system, thus Reduce limitation.Also, the technology can use relevant software or hardware realization, be described below by embodiment.
Embodiment 1
Referring to Fig. 1, Fig. 1 is a kind of process signal of the method for adjustment of fan yaw system provided in an embodiment of the present invention Figure.Wherein, as shown in Figure 1, the method for adjustment of the fan yaw system may comprise steps of:
S101, the sample data for obtaining fan operation state.
In the present embodiment, blower is wind-driven generator, mainly includes wind wheel and generator.Wherein, wind wheel includes blower Blade, wheel hub, reinforcing member etc.;Mainly there is fan blade by functions such as wind-force rotary electrification, the rotations of generator head.The wind of blower Power power generating source is by including wind power generating set, supporting pylon, storage battery charge controller, the inverter, off-load of generating set Device, net-connected controller, battery group etc..In actual use, usually wind power generating set is constituted by multiple blowers to generate electricity, The each wind of method suitable for wind power generating set provided by the present invention for assessing fan blade deicing capital project Machine.
In the present embodiment, it can be acquired and supervisor control (Supervisory Control And by data Data Acquisition, SCADA) obtain fan operation sample data.SCADA system is computer-based production Process control and dispatch automated system can be monitored and be controlled to the running equipment at scene, be Automation of Electric Systems Real time data source.It specifically can be applied to data acquisition and the prison in the fields such as electric power, metallurgy, petroleum, chemical industry, combustion gas, railway Depending on numerous areas such as control and process control.
In the present embodiment, which includes fan operation data all in preset time period, specifically, including note Record temporal information, the operation data of blower corresponding with temporal information of data, wherein operation data includes blower local environment Environment temperature, the ambient wind velocity of blower local environment, the wind angle of blower, the actual motion power of blower etc., to this this reality Example is applied to be not construed as limiting.
S102, it is segmented according to sample data and preset wind speed range, is generated by preset artificial intelligence model of fit Wind angle-power curve corresponding with the segmentation of each wind speed range.
In the present embodiment, artificial intelligence model of fit can be right for convolutional neural networks model, BP neural network model etc. This embodiment is not limited for this.Sample data and the segmentation of preset wind speed range are input in artificial intelligence model of fit, passed through The processing of the artificial intelligence model of fit is crossed, each wind speed range can be exported and be segmented corresponding wind angle-power curve.
In the present embodiment, the segmentation of preset wind speed range can for 2m/s~3m/s, 3m/s~4m/s, 4m/s~5m/s, 5m/s~6m/s, and then the wind speed range of 2m/s~6m/s can be divided into 4 sections, to this, this embodiment is not limited.
S103, it is segmented according to wind angle-power curve corresponding with the segmentation of each wind speed range, calculating and the wind speed range It is corresponding most preferably to wind angle.
S104, according to the numerical intervals and corresponding with the segmentation of all wind speed ranges most preferably to wind of all wind speed ranges segmentation Angle calculates whole most preferably to wind angle.
S105, wind is adjusted according to whole most preferably yawed to wind angle to blower.
In the present embodiment, wind is adjusted according to whole most preferably yawed to wind angle to blower, comprising the following steps:
Judge whether whole be most preferably zero degree to wind angle;
If so, being adjusted according to most preferably being yawed to wind angle to blower to wind.
In the present embodiment, judge optimization obtain it is best to wind angle whether and zero degree degree have deviation, if without deviation, Show that blower is accurate to wind at present, maximal wind-energy can be captured, without adjustment yaw to wind angle.If there is deviation, show Blower precisely to wind, has not had resulted in generated energy loss, needs to be corrected anemoscope to realize precisely to wind.
In the present embodiment, wind is adjusted according to most preferably being yawed to wind angle to blower, is specifically as follows adjustment blower The installation position of the initial zero degree position of the wind vane of anemoscope, or the anemoscope of more ventilating fan, it is final to realize blower forward direction to wind When anemoscope measurement wind angle be zero degree, to guarantee that blower reaches precisely to wind.
In the method for adjustment of fan yaw system described in Fig. 1, it can be believed by obtaining the data of current wind movement Breath, and the optimal angle of wind energy is analyzed according to the data information, determine that the angle is most preferably to wind angle, most according to this finally Good yawed to wind angle to blower adjusts wind.As it can be seen that implement the method for adjustment of fan yaw system described in Fig. 1, Blower can be yawed from the angle of wind energy and wind is adjusted, so as to improve the precision that yaw adjusts wind, and The Adjusted Option that this kind of fan yaw system can be used in the adjustment technology of existing fan yaw system, to reduce limitation Property.
Embodiment 2
Referring to Fig. 2, Fig. 2 is a kind of process signal of the method for adjustment of fan yaw system provided in an embodiment of the present invention Figure.Wherein, as shown in Fig. 2, the method for adjustment of the fan yaw system may comprise steps of:
S201, the initial data for obtaining fan operation state, and integrity detection is carried out to initial data, to remove blower The interference data of abnormal running obtain the first processing data.
S202, processing is filtered to the first processing data, to remove operation data of the blower under abnormality, obtained Second processing data.
In the present embodiment, blower includes operation number of the blower in the case where limiting power rating in the operation data under abnormality It is kept for a long time not caused by the abnormal data under illegal abnormality and because of sensing device failure on blower according to, blower One or more of fault data of change, to this, this embodiment is not limited.
In the present embodiment, when required generated energy is less than total generated output of current wind turbine power generation group, then need to wind The generated output of each blower carries out limit Power operation in machine generating set, and the operation data of blower at this time is blower in limit power Operation data under state.
S203, Screening Treatment is carried out to second processing data by preset blade icing analysis model, to reject blower Power down data caused by freezing because of blade obtains third processing data.
S204, Screening Treatment is carried out to third processing data using density-based algorithms, it is inclined to reject non-blower Noise data caused by reason of navigating, obtains sample data.
As an alternative embodiment, being carried out at screening using density-based algorithms to third processing data Reason, to reject noise data caused by non-fan yaw reason, obtains sample data, comprising:
Wind speed-power curve of blower is generated according to sample data;
Clustering is carried out to wind speed-power curve using density-based algorithms, is extracted in wind speed-power curve Data dot density is higher than the scatterplot data of preset threshold;
Screening Treatment is carried out to third processing data according to scatterplot data, to reject noise caused by non-fan yaw reason Data obtain sample data.
In the present embodiment, implements above-mentioned steps S201~step S204, the sample data of fan operation state can be obtained.
As further alternative embodiment, Screening Treatment is carried out to third processing data according to scatterplot data, to pick Unless noise data caused by fan yaw reason, obtains sample data, may comprise steps of:
Screening Treatment is carried out to third processing data according to scatterplot data, to reject noise caused by non-fan yaw reason Data obtain denoising data;
Data cleansing processing is carried out to denoising data, filters out wind angle in preset credibility interval from denoising data Corresponding data, as final sample data.
S205, it is segmented according to sample data and preset wind speed range, calculates function corresponding with the segmentation of each wind speed range The power average value of rate data.
S206, corresponding power average value is segmented according to each wind speed range, passes through preset artificial intelligence model of fit Generate wind angle-power curve corresponding with the segmentation of each wind speed range.
In the present embodiment, implement above-mentioned steps S205~step S206, it can be according to sample data and preset wind speed model Segmentation is enclosed, wind angle-power curve corresponding with the segmentation of each wind speed range is generated by preset artificial intelligence model of fit.
S207, corresponding wind angle-power curve is segmented according to each wind speed range, calculates wind speed range segmentation and corresponds to It is best to wind angle.
As an alternative embodiment, according to wind angle-power curve corresponding with the segmentation of each wind speed range, meter Calculation is corresponding with wind speed range segmentation most preferably to wind angle, may comprise steps of:
Rejecting processing is carried out to all wind angle-power curve, to reject wind direction of the radian in default arc range Angle-power curve obtains wind angle-power curve to be processed;
The corresponding wind angle of maximum power in each wind angle-power curve to be processed is obtained, as to be processed with this Wind angle-power curve correspond to wind speed range segmentation it is best to wind angle.
In the present embodiment, is differentiated and calculated according to wind angle-power curve that any wind speed range is segmented, if wind Straight to angle-power curve, i.e., the corresponding power of different wind angles is identical, then not considering further that the best of wind speed range segmentation To wind angle;If wind angle-power curve is rendered as, both ends are low, intermediate height, calculate under wind speed range segmentation Blower obtains the corresponding wind angle of maximum power, i.e., wind speed range segmentation is best to wind angle.
It is S208, corresponding most preferably to wind angle according to the segmentation of all wind speed ranges, it calculates whole most preferably to wind angle.
As an alternative embodiment, according to all wind speed ranges segmentation numerical intervals and with all wind speed ranges It is segmented corresponding most preferably to wind angle, calculates whole most preferably to wind angle, comprising:
It is corresponding most preferably to wind angle according to the segmentation of all wind speed ranges, calculate wind angle candidate section, and from preset The multiple wind speed range segmentations to be processed being chosen in wind speed range segmentation in wind angle candidate section;
According to sample data and multiple wind speed range segmentations to be processed, calculates and be segmented with each wind speed range to be processed Corresponding yaw is to windage losses;
According to each corresponding yaw of wind speed range segmentation to be processed to windage losses and sample data, pass through artificial intelligence Model of fit generates ideal wind angle-power curve corresponding with each wind speed range segmentation to be processed;
According to the corresponding ideal wind angle-power curve of each wind speed range segmentation to be processed and sample data, calculate Generated energy lifting capacity corresponding with each wind speed range segmentation to be processed;
According to generated energy lifting capacity corresponding with the pending wind speed range segmentation of institute, obtain and the maximum power generation of numerical value The corresponding wind speed range segmentation to be processed of lifting capacity is measured, is segmented as target wind speed range;
The corresponding yaw of target wind speed range segmentation is obtained to windage losses, as a whole most preferably to wind angle.
As further alternative embodiment, according to each corresponding yaw of wind speed range segmentation to be processed to windage yaw Difference and sample data generate ideal wind direction corresponding with each wind speed range segmentation to be processed by artificial intelligence model of fit Angle-power curve, can with the following steps are included:
The each wind speed range obtained in wind angle candidate section is segmented corresponding wind angle-power scatterplot set;
Corresponding yaw is segmented to windage losses to the wind speed range to be processed point according to each wind speed range to be processed Corresponding wind angle-power scatterplot the set of section is adjusted, and obtains the corresponding ideal wind of each wind speed range segmentation to be processed To angle-power scatterplot set;
According to the corresponding ideal wind angle-power scatterplot set of each wind speed range segmentation to be processed, pass through artificial intelligence Energy model of fit generates the corresponding ideal wind angle-power curve of each wind speed range segmentation to be processed.
As further alternative embodiment, according to the corresponding ideal wind direction of each wind speed range segmentation to be processed Angle-power curve and sample data calculate corresponding with each wind speed range segmentation to be processed generated energy lifting capacity, can be with The following steps are included:
Being somebody's turn to do in corresponding ideal wind angle-power curve and sample data is segmented according to each wind speed range to be processed Wind speed range to be processed is segmented corresponding practical wind angle, calculates each wind speed range to be processed and is segmented corresponding theoretical work Rate value;
Each of corresponding ideal power and sample data wind to be processed are segmented to each wind speed range to be processed Fast range is segmented corresponding actual power and carries out difference statistical disposition, obtains each wind speed range to be processed and is segmented corresponding hair Electricity lifting capacity.
In the present embodiment, windage losses are waited locating to this first, in accordance with each corresponding yaw of wind speed range segmentation to be processed The wind speed range of reason is segmented corresponding wind angle-power scatterplot set and is adjusted, and obtains each wind speed range to be processed point The corresponding ideal wind angle-power scatterplot set of section, and the training fitting of artificial intelligence model of fit is used to obtain ideal shape to it Ideal wind angle-power curve under state;Then, to according to the corresponding ideal wind direction of each wind speed range segmentation to be processed The wind speed range to be processed in angle-power curve and sample data is segmented corresponding practical wind angle, calculates each wait locate The wind speed range of reason is segmented corresponding ideal power value;Then, any one wind speed range to be processed is segmented, is corresponded to Corresponding with its actual power of ideal power value carry out difference statistical disposition, obtain wind speed range segmentation yaw to be processed To generated energy lifting capacity after wind orientation optimization, and the pending wind speed range of institute is segmented corresponding generated energy lifting capacity and is carried out Summarize to obtain present day analog yaw to the whole generated energy lifting capacity of windage losses.Finally, to all whole power generations simulated and obtained Amount lifting capacity is ranked up, and exports the corresponding simulation of whole generated energy lifting capacity maximum value to windage losses, the entirety as sought Most preferably to wind angle.
S209, basis most preferably yaw wind angle to blower and are adjusted to wind.
As it can be seen that implement the method for adjustment of fan yaw system described in Fig. 2, the number that can be moved by obtaining current wind It is believed that breath, and the optimal angle of wind energy is analyzed according to the data information, determine that the angle is most preferably to wind angle, last basis This most preferably yaws wind angle to blower and is adjusted to wind.As it can be seen that implement this embodiment, it can be from the angle pair of wind energy Blower, which is yawed, adjusts wind, so as to improve the precision that yaw adjusts wind, and can be in existing fan yaw The Adjusted Option that this kind of fan yaw system is used in the adjustment technology of system, to reduce limitation.
Embodiment 3
Referring to Fig. 3, Fig. 3 is a kind of structural representation of the adjustment device of fan yaw system provided in an embodiment of the present invention Figure.Wherein, as shown in figure 3, the adjustment device of the fan yaw system includes:
Module 301 is obtained, for obtaining the sample data of fan operation state.
Generation module 302, it is quasi- by preset artificial intelligence for being segmented according to sample data and preset wind speed range Molding type generates wind angle-power curve corresponding with the segmentation of each wind speed range.
First computing module 303, for calculating according to wind angle-power curve corresponding with the segmentation of each wind speed range It is corresponding with wind speed range segmentation most preferably to wind angle.
Second computing module 304, numerical intervals for being segmented according to all wind speed ranges and with all wind speed ranges point Section is corresponding most preferably to wind angle, calculates whole most preferably to wind angle.
Module 305 is adjusted, for adjusting according to whole most preferably yawed to wind angle to blower to wind.
As it can be seen that the adjustment device of fan yaw system described in implementing Fig. 3, can carry out blower from the angle of wind energy Yaw adjusts wind, so as to improve the precision that yaw adjusts wind, and can be in the tune of existing fan yaw system The Adjusted Option that this kind of fan yaw system is used in adjusting technique, to reduce limitation.
In addition, the present invention also provides a kind of computer equipments.The computer equipment includes memory and processor, storage Device can be used for storing computer program, and processor is by operation computer program, so that the computer equipment be made to execute above-mentioned side The function of modules in the adjustment device of method or above-mentioned fan yaw system.
Memory may include storing program area and storage data area, wherein storing program area can storage program area, at least Application program needed for one function (such as sound-playing function, image player function etc.) etc.;Storage data area can store root Created data (such as audio data, phone directory etc.) etc. are used according to mobile terminal.In addition, memory may include high speed Random access memory, can also include nonvolatile memory, a for example, at least disk memory, flush memory device or Other volatile solid-state parts.
The present embodiment additionally provides a kind of computer storage medium, for storing calculating used in above-mentioned computer equipment Machine program.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, flow chart and structure in attached drawing Figure shows the system frame in the cards of the device of multiple embodiments according to the present invention, method and computer program product Structure, function and operation.In this regard, each box in flowchart or block diagram can represent a module, section or code A part, a part of module, section or code includes one or more for implementing the specified logical function holds Row instruction.It should also be noted that function marked in the box can also be to be different from attached drawing in the implementation as replacement Middle marked sequence occurs.For example, two continuous boxes can actually be basically executed in parallel, they sometimes can also be with It executes in the opposite order, this depends on the function involved.It is also noted that each of structure chart and/or flow chart The combination of box and the box in structure chart and/or flow chart can use the dedicated base for executing defined function or movement It realizes, or can realize using a combination of dedicated hardware and computer instructions in the system of hardware.
In addition, each functional module or unit in each embodiment of the present invention can integrate one independence of formation together Part, be also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
If function is realized and when sold or used as an independent product in the form of software function module, can store In a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words to existing Having the part for the part or the technical solution that technology contributes can be embodied in the form of software products, the computer Software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be intelligent hand Machine, personal computer, server or network equipment etc.) execute all or part of the steps of each embodiment method of the present invention. And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
More than, only a specific embodiment of the invention, but scope of protection of the present invention is not limited thereto, and it is any to be familiar with Those skilled in the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all cover Within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. a kind of method of adjustment of fan yaw system characterized by comprising
Obtain the sample data of fan operation state;
It is segmented, is generated by preset artificial intelligence model of fit and each according to the sample data and preset wind speed range The wind speed range is segmented corresponding wind angle-power curve;
According to wind angle-power curve corresponding with each wind speed range segmentation, calculate corresponding with wind speed range segmentation It is best to wind angle;
According to numerical intervals of all wind speed ranges segmentations and corresponding most preferably to wind with all wind speed range segmentations Angle calculates whole most preferably to wind angle;
Most preferably wind angle yaws the blower according to the entirety, wind is adjusted.
2. the method for adjustment of fan yaw system according to claim 1, which is characterized in that the acquisition fan operation shape The sample data of state, comprising:
The initial data of fan operation state is obtained, and integrity detection is carried out to the initial data, it is non-just to remove blower The interference data often run obtain the first processing data;
Processing is filtered to the first processing data, to remove operation data of the blower under abnormality, is obtained Second processing data;
By preset blade icing analysis model to the second processing data carry out Screening Treatment, with reject the blower because Power down data caused by blade freezes obtains third processing data;
Screening Treatment is carried out to third processing data using density-based algorithms, to reject the non-fan yaw Noise data caused by reason, obtains sample data.
3. the method for adjustment of fan yaw system according to claim 2, which is characterized in that the blower is in abnormality Under operation data include that operation data of the blower in the case where limiting power rating, the blower are different under illegal abnormality One of regular data and the fault data because being remained unchanged for a long time caused by sensing device failure on the blower or It is a variety of.
4. the method for adjustment of fan yaw system according to claim 2, which is characterized in that described using based on density Clustering algorithm carries out Screening Treatment to third processing data, to reject noise number caused by the non-fan yaw reason According to obtaining sample data, comprising:
Wind speed-power curve of the blower is generated according to the sample data;
Clustering is carried out to the wind speed-power curve using density-based algorithms, it is bent to extract the wind speed-power Data dot density is higher than the scatterplot data of preset threshold in line;
Screening Treatment is carried out to third processing data according to the scatterplot data, is led with rejecting the non-fan yaw reason The noise data of cause, obtains sample data.
5. the method for adjustment of fan yaw system according to claim 1, which is characterized in that according to the sample data and Preset wind speed range segmentation, is generated corresponding with each wind speed range segmentation by preset artificial intelligence model of fit Wind angle-power curve, comprising:
It is segmented according to the sample data and preset wind speed range, calculates power corresponding with each wind speed range segmentation The power average value of data;
Be segmented corresponding power average value according to each wind speed range, by preset artificial intelligence model of fit generate with Each wind speed range is segmented corresponding wind angle-power curve.
6. the method for adjustment of fan yaw system according to claim 1, which is characterized in that the basis with it is each described Wind speed range is segmented corresponding wind angle-power curve, calculates corresponding with wind speed range segmentation most preferably to wind angle, packet It includes:
Rejecting processing is carried out to all wind angle-power curve, to reject wind angle-function of the radian in default arc range Rate curve obtains wind angle-power curve to be processed;
The corresponding wind angle of maximum power in each wind angle-power curve to be processed is obtained, as to be processed with this Wind angle-power curve correspond to wind speed range segmentation it is best to wind angle.
7. the method for adjustment of fan yaw system according to claim 1, which is characterized in that described according to all wind Numerical intervals of fast range segmentation and corresponding with all wind speed range segmentations most preferably to wind angle, it is whole most preferably right to calculate Wind angle, comprising:
It is corresponding most preferably to wind angle according to all wind speed ranges segmentations, calculate wind angle candidate section, and from preset The multiple wind speed range segmentations to be processed being chosen in the wind speed range segmentation in wind angle candidate section;
According to the sample data and multiple wind speed range segmentations to be processed, calculate and each wind speed to be processed The corresponding yaw of range segmentation is to windage losses;
According to each corresponding yaw of wind speed range segmentation to be processed to windage losses and the sample data, by described Artificial intelligence model of fit generates ideal wind angle-power curve corresponding with each wind speed range segmentation to be processed;
It is segmented corresponding ideal wind angle-power curve and the sample data according to each wind speed range to be processed, Calculate generated energy lifting capacity corresponding with each wind speed range segmentation to be processed;
According to generated energy lifting capacity corresponding with all wind speed range segmentations to be processed, obtain and the maximum power generation of numerical value The corresponding wind speed range segmentation to be processed of lifting capacity is measured, is segmented as target wind speed range;
The corresponding yaw of target wind speed range segmentation is obtained to windage losses, as a whole most preferably to wind angle.
8. a kind of adjustment device of fan yaw system characterized by comprising
Module is obtained, for obtaining the sample data of fan operation state;
Generation module is fitted for being segmented according to the sample data and preset wind speed range by preset artificial intelligence Model generates wind angle-power curve corresponding with each wind speed range segmentation;
First computing module, for according to wind angle-power curve corresponding with each wind speed range segmentation, calculating and being somebody's turn to do Wind speed range segmentation is corresponding most preferably to wind angle;
Second computing module divides for the numerical intervals according to all wind speed range segmentations and with all wind speed ranges Section is corresponding most preferably to wind angle, calculates whole most preferably to wind angle;
Module is adjusted, wind is adjusted for most preferably being yawed to wind angle to the blower according to the entirety.
9. a kind of computer equipment, which is characterized in that including memory and processor, the memory is for storing computer Program, the processor runs the computer program so that the computer equipment perform claim requires any one of 1 to 7 institute The method of adjustment for the fan yaw system stated.
10. a kind of computer readable storage medium, which is characterized in that it is stored in computer equipment as claimed in claim 9 The used computer program.
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