CN109236589B - It is a kind of for assessing the method and device of fan blade deicing capital project - Google Patents
It is a kind of for assessing the method and device of fan blade deicing capital project Download PDFInfo
- Publication number
- CN109236589B CN109236589B CN201811408091.7A CN201811408091A CN109236589B CN 109236589 B CN109236589 B CN 109236589B CN 201811408091 A CN201811408091 A CN 201811408091A CN 109236589 B CN109236589 B CN 109236589B
- Authority
- CN
- China
- Prior art keywords
- data
- blower
- power generation
- generated energy
- fan blade
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 89
- 238000010248 power generation Methods 0.000 claims abstract description 67
- 230000008569 process Effects 0.000 claims abstract description 54
- 238000011156 evaluation Methods 0.000 claims abstract description 18
- 238000012423 maintenance Methods 0.000 claims abstract description 17
- 230000008014 freezing Effects 0.000 claims description 29
- 238000007710 freezing Methods 0.000 claims description 29
- 230000002123 temporal effect Effects 0.000 claims description 15
- 238000003860 storage Methods 0.000 claims description 10
- 238000013473 artificial intelligence Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000002708 enhancing effect Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 206010009866 Cold sweat Diseases 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000000567 combustion gas Substances 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 230000006735 deficit Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 230000003014 reinforcing effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
-
- 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
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- 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)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Wind Motors (AREA)
Abstract
The present invention provides a kind of for assessing the method and device of fan blade deicing capital project, comprising: obtains the sample data of fan operation;According to sample data, calculates icing generated energy caused by blower freezes in power generation process because of blade and lose;According to sample data and the fan operation prestored maintenance record, calculates and shut down generated energy loss caused by blower is shut down in power generation process because of icing;Generated energy loss is lost and shut down according to icing generated energy, is calculated total power generation caused by blower freezes within the preset assessment period because of blade and is lost;And assessed according to the fan blade deicing capital project that preset assessment rule and total power generation loss assess needs, obtain assessment result.Provided by the present invention for assessing the method and device of fan blade deicing capital project, rapidly and accurately fan blade deicing capital project can be assessed, without human intervention, effectively improve assessment efficiency and Evaluation accuracy.
Description
Technical field
The present invention relates to data communication technology fields, in particular to one kind for assessing fan blade deicing investment
The method and device of scheme.
Background technique
Wind-power electricity generation is quickly sent out in recent years as one of safe and reliable, pollution-free, important generation mode that can be incorporated into the power networks
Exhibition.In cold, clammy area, fan blade is easy to freeze, so that its blade aerodynamic performance impairment, reduces unit generation effect
Rate causes component to accelerate fatigue, and reduces the service life, and will lead to blower when serious by forced-stopping machine, or even collapse, and endangers person peace
Entirely, therefore, fan blade ice formation issues should not be underestimated.For fan blade ice formation issues, for reduce the loss that blade freezes with
And the efficiency of blade deicing is promoted, it needs to carry out analysis and assessment to blade deicing capital project, if analysis and assessment result meets
Certain expectation can execute the blade deicing capital project.Currently, generally according to operation maintenance record or artificial accounting pair
It needs to assess blade deicing capital project and carries out analysis and assessment.However, it has been found in practice that the side analyzed using manual evaluation
Method has the shortcomings that biggish subjectivity and has assessment low efficiency, accuracy low.
Summary of the invention
In view of the above problems, the present invention provides a kind of for assessing the method and dress of fan blade deicing capital project
It sets, rapidly and accurately fan blade deicing capital project can be assessed, without human intervention, to avoid manual evaluation
Subjective impact, effectively improve assessment efficiency and Evaluation accuracy.
To achieve the goals above, the present invention adopts the following technical scheme that:
First aspect present invention discloses a kind of method for assessing fan blade deicing capital project, comprising:
Obtain the sample data of fan operation;
According to the sample data, calculates icing generated energy caused by the blower freezes in power generation process because of blade and damage
It loses;
According to the sample data and the fan operation prestored maintenance record, the blower is calculated in power generation process because of knot
Ice shuts down generated energy loss caused by shutting down;
According to icing generated energy loss and shutdown generated energy loss, the blower is calculated in preset assessment
Total power generation loss caused by section internal cause blade freezes;
The fan blade deicing investor that needs are assessed according to preset assessment rule and total power generation loss
Case is assessed, and assessment result is obtained.
As an alternative embodiment, in first aspect present invention, the sample data for obtaining fan operation,
Include:
The initial data of fan operation is obtained, and integrity detection is carried out to the initial data, to remove interference data,
Obtain processing data;
Processing is filtered to the processing data, to remove operation data of the blower in the case where limiting power rating, is obtained
To sample data.
As an alternative embodiment, the sample data includes record data in first aspect present invention
The operation data of temporal information, the blower corresponding with the temporal information, wherein the operation data includes the blower
The actual motion power of the environment temperature of local environment, the ambient wind velocity of the blower local environment and the blower.
As an alternative embodiment, according to the sample data, calculating the wind in first aspect present invention
Icing generated energy caused by machine freezes in power generation process because of blade loses, comprising:
According to preset ice period division rule, the sample data is divided into ice period data and non-icing issue
According to;
Building is for being fitted wind speed-power curve artificial intelligence model of fit;
According to the non-ice period data, it is bent that non-ice period wind speed-power is generated by the artificial intelligence model of fit
Line;
According to the non-ice period wind speed-power curve and the ice period data, the blower is calculated in fan blade
The gross data run when icing;
According to the ice period data and the gross data, the blower is calculated in power generation process because blade icing is led
The icing generated energy of cause loses.
As an alternative embodiment, in first aspect present invention, according to the ice period data and the reason
By data, calculates icing generated energy caused by the blower freezes in power generation process because of blade and loses, comprising:
According to preset freezing process division rule, the ice period data and the gross data, multiple icings are determined
Period, and obtain the operation data corresponding with each freezing time section;
According to the operation data corresponding with each freezing time section, the corresponding hair of each freezing time section is calculated
Electric quantity loss;
Read group total is carried out to all corresponding generated energy losses of the freezing time section, the blower is obtained and is generating electricity
Icing generated energy caused by freezing in the process because of blade loses.
As an alternative embodiment, in first aspect present invention, according to the sample data and the wind prestored
Machine operation and maintenance record calculates the blower in power generation process because shutting down generated energy loss caused by the shutdown that freezes, comprising:
According to the sample data and the fan operation prestored maintenance record, the wind is extracted from the sample data
The shutdown operation data that machine is shut down in power generation process by icing;
The blower is calculated in power generation process according to the non-ice period wind speed-power curve and the shutdown operation data
It is middle to be lost because shutting down generated energy caused by the shutdown that freezes.
As an alternative embodiment, in first aspect present invention, it is described according to preset assessment rule and
The fan blade deicing capital project that needs are assessed in the total power generation loss is assessed, and assessment result is obtained, comprising:
According to preset assessment rule and total power generation loss, the fan blade deicing investor for needing to assess is calculated
The investment repayment of case deicing capital project;
Integrated decision-making is carried out to the fan blade deicing capital project according to the assessment rule and the investment repayment
Assessment, obtains assessment result.
Second aspect of the present invention discloses a kind of for assessing the device of fan blade deicing capital project, comprising:
Module is obtained, for obtaining the sample data of fan operation;
First computing module, for calculating the blower in power generation process because blade freezes according to the sample data
Caused icing generated energy loss;
Second computing module, for calculating the wind according to the sample data and the fan operation prestored maintenance record
Machine is in power generation process because shutting down generated energy loss caused by the shutdown that freezes;
Third computing module, for being lost according to icing generated energy loss and the shutdown generated energy, described in calculating
Total power generation caused by blower freezes within the preset assessment period because of blade is lost;
Evaluation module, the blower leaf for being assessed according to preset assessment rule and total power generation loss needs
Piece deicing capital project is assessed, and assessment result is obtained.
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 method for assessing fan blade deicing capital project.
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.
What is provided according to the present invention is used to assess the method and device of fan blade deicing capital project, and sample data is inspection
Survey the blower actual operating data that device detects.When assessing fan blade deicing capital project, fan operation is first obtained
Sample data, and icing generated energy caused by blower freezes in power generation process because of blade is calculated according to sample data and is lost;So
Afterwards further according to sample data and the fan operation prestored maintenance record, caused by calculating blower is shut down in power generation process because of icing
Shut down generated energy loss;Further, generated energy loss is lost and shut down according to icing generated energy, is calculated blower and is commented preset
Estimate total power generation loss caused by period internal cause blade freezes;Finally according to preset assessment rule and total power generation loss pair
The fan blade deicing capital project for needing to assess is assessed, and assessment result is obtained, can be in premise without human intervention
Under, by the sample data of blower actual motion, rapidly and accurately fan blade deicing capital project is assessed, avoids people
The subjective impact of work assessment, and then effectively improve assessment efficiency and Evaluation accuracy.
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 for assessing the process of the method for fan blade deicing capital project of the offer of the embodiment of the present invention one
Schematic diagram;
Fig. 2 is provided by Embodiment 2 of the present invention a kind of for assessing the process of the method for fan blade deicing capital project
Schematic diagram;
Fig. 3 is a kind of for assessing the structure of the device of fan blade deicing capital project of the offer of the embodiment of the present invention three
Schematic diagram.
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 a kind of for assessing the side of fan blade deicing capital project
Method and device;When assessing fan blade deicing capital project, the sample data of fan operation is first obtained, and according to sample data
Icing generated energy caused by blower freezes in power generation process because of blade is calculated to lose;Then it further according to sample data and prestores
Fan operation maintenance record calculates blower in power generation process because shutting down generated energy loss caused by the shutdown that freezes;Further,
Generated energy loss is lost and shut down according to icing generated energy, caused by calculating blower freezes within the preset assessment period because of blade
Total power generation loss;Finally the fan blade deicing that needs are assessed is thrown according to preset assessment rule and total power generation loss
Capital's case is assessed, and assessment result is obtained, and can pass through the sample of blower actual motion under the premise of without human intervention
Data rapidly and accurately assess fan blade deicing capital project, avoid the subjective impact of manual evaluation, and then effectively
Improve assessment efficiency and Evaluation accuracy.Also, the technology can use relevant software or hardware realization, below by embodiment
It is described.
Embodiment 1
Referring to Fig. 1, Fig. 1 is provided in an embodiment of the present invention a kind of for assessing the side of fan blade deicing capital project
The flow diagram of method.Wherein, as shown in Figure 1, the method for being used to assess fan blade deicing capital project may include with
Lower step:
S101, the sample data for obtaining fan operation.
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.
S102, according to sample data, calculate icing generated energy caused by blower freezes in power generation process because of blade and lose.
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, blower local environment ambient wind velocity and the actual motion power of blower etc., this present embodiment is not limited
It is fixed.
In the present embodiment, sample data is analyzed, sample data is divided under its blade icing condition of blower and is transported
The non-ice period data that capable ice period data and blower are run under the non-icing condition of its blade, then according to the icing issue
It is lost according to icing generated energy caused by blower freezes in power generation process because of blade can be calculated with non-ice period data.Specifically
, first calculated under identical wind friction velocity according to the ice period data and non-ice period data, it is each in ice period data
Then the corresponding theoretical generated output of the actual motion power of blower calculates the reality of each theoretical generated output corresponding thereto
Difference between power, the summation for finally calculating all differences is icing caused by blower freezes in power generation process because of blade
Generated energy loss.
S103, it is recorded according to sample data and the fan operation prestored maintenance, calculates blower in power generation process because freezing
Generated energy loss is shut down caused by shutting down.
S104, according to icing generated energy lose and shut down generated energy loss, calculate blower within the preset assessment period because
The loss of total power generation caused by blade freezes.
S105, the fan blade deicing investor that needs are assessed according to preset assessment rule and total power generation loss
Case is assessed, and assessment result is obtained.
In the present embodiment, fan blade deicing capital project can be got by communication network, or can directly obtain
The fan blade deicing capital project being manually entered is taken, this embodiment is not limited to this.
In the present embodiment, preset assessment rule includes but is not limited to assessment reference amount, accounting criteria, specific system etc.,
Wherein, assessment includes but is not limited to investment budgey, expected generated energy enhancing rate, the length of service referring to amount, and accounting criteria can be
Accounting criteria is returned in financial investment, and specific system can be investment examination and approval system etc., and to this, this embodiment is not limited.
In the present embodiment, assessment result includes assess to fan blade deicing capital project referring to amount according to assessment
To initial assessment result, accounting criteria is returned according to financial investment fan blade deicing capital project is calculated
It calculates result and the comprehensive assessment that comprehensive assessment obtains is carried out to fan blade deicing capital project according to investment examination and approval system
As a result, carrying out comprehensive assessment to the fan blade deicing capital project in turn, Evaluation accuracy and comprehensive, reduction subjectivity are promoted
The influence of human factor.
In the present embodiment, multiple fan blades can be removed by the method for assessing fan blade deicing capital project
Ice capital project is assessed, and then selects optimal blower in multiple fan blade deicing capital projects according to assessment result
Blade deicing capital project, and then the loss that blade freezes can be reduced to greatest extent, and promoted under the investment for meeting budget
The efficiency of blade deicing.
In method described in Fig. 1 for assessing fan blade deicing capital project, in assessment fan blade deicing
When capital project, the sample data of fan operation is first obtained, and blower is calculated in power generation process because of blade according to sample data
The loss of icing generated energy caused by freezing;Then further according to sample data and the fan operation prestored maintenance record, blower is calculated
Because shutting down generated energy loss caused by the shutdown that freezes in power generation process;Further, it loses and shuts down according to icing generated energy
Generated energy loss calculates total power generation caused by blower freezes within the preset assessment period because of blade and loses;Last basis is pre-
If assessment rule and total power generation loss the fan blade deicing capital project assessed of needs is assessed, assessed
As a result.As it can be seen that implement the described method for assessing fan blade deicing capital project of Fig. 1, it can be without artificial behaviour
Under the premise of work, by the sample data of blower actual motion, rapidly and accurately fan blade deicing capital project is commented
Estimate, avoid the subjective impact of manual evaluation, and then effectively improves assessment efficiency and Evaluation accuracy.
Embodiment 2
Referring to Fig. 2, Fig. 2 is provided in an embodiment of the present invention a kind of for assessing the side of fan blade deicing capital project
The flow diagram of method.Wherein, as shown in Fig. 2, the method for being used to assess fan blade deicing capital project may include with
Lower step:
S201, the initial data for obtaining fan operation, and integrity detection is carried out to initial data, to remove interference number
According to, obtain processing data.
S202, processing is filtered to processing data, to remove operation data of the blower in the case where limiting power rating, obtains sample
Notebook data.
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.
In the present embodiment, implements above-mentioned steps S201~step S202, the sample data of fan operation can be obtained.
In the present embodiment, sample data includes recording the operation of the temporal information, blower corresponding with temporal information of data
Data, wherein operation data includes the ambient wind velocity and blower of the environment temperature of blower local environment, blower local environment
Actual motion power.
S203, according to preset ice period division rule, sample data is divided into ice period data and non-icing issue
According to.
In the present embodiment, ice period division rule can be the data in sample data, in default freezing time section
For ice period data, at this, to preset the data in freezing time section be not non-ice period data.
S204, building are for being fitted wind speed-power curve artificial intelligence model of fit.
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.
S205, according to non-ice period data, pass through artificial intelligence model of fit and generate non-ice period wind speed-power curve.
In the present embodiment, non-ice period data are input in artificial intelligence model of fit, are fitted by the artificial intelligence
The processing of model can export non-ice period wind speed-power curve.
S206, according to non-ice period wind speed-power curve and ice period data, calculate blower in fan blade icing luck
Capable gross data.
In the present embodiment, gross data includes ambient wind velocity locating for blower and the corresponding theoretical power (horse-power) of ambient wind velocity.
As an example it is assumed that ice period data include three data, the i.e. corresponding operation data of temporal information A, time letter
Cease the corresponding operation data of B, the corresponding operation data of temporal information C.Wherein, the corresponding operation data of temporal information A includes ring
The actual motion power 40W of 9 DEG C of border temperature, wind speed 10m/s and blower;The corresponding operation data of temporal information B includes environment
The actual motion power 42W of 7 DEG C of temperature, wind speed 11m/s and blower;Temporal information is that the corresponding operation data of C includes environment
The actual motion power 25W of 8.4 DEG C of temperature, wind speed 6m/s and blower.Then in non-ice period wind speed-power curve, respectively
Wind speed 10m/s, wind speed 11m/s, the corresponding power of wind speed 6m/s are read, as the corresponding blower of each wind speed in fan blade knot
The theoretical power (horse-power) run when ice.
S207, according to ice period data and gross data, calculate caused by blower freezes in power generation process because of blade and tie
The loss of ice generated energy.
In the present embodiment, according to ice period data and gross data, blower is calculated in power generation process because blade icing is led
The icing generated energy of cause loses, comprising:
According to preset freezing process division rule and ice period data, gross data, multiple freezing time sections are determined, and
Obtain operation data corresponding with each freezing time section;
According to operation data corresponding with each freezing time section, the corresponding generated energy damage of each freezing time section is calculated
It loses;
Read group total is carried out to the corresponding generated energy loss of all freezing time sections, obtain blower in power generation process because
The loss of icing generated energy caused by blade freezes.
In the present embodiment, implement above-mentioned steps S203~S207, blower can be calculated in power generation process according to sample data
Icing generated energy loses caused by the middle icing because of blade.
In the present embodiment, preset freezing process division rule includes that icing data determine that rule and freezing process divide rule
Then.Wherein, icing data determine rule are as follows: in ice period data, when the corresponding power of the ambient wind velocity of a temporal information
When theoretical power (horse-power) preset threshold corresponding lower than the ambient wind velocity, by the corresponding operation data of the temporal information, labeled as icing
Data.Freezing process division rule are as follows: first icing data is the starting point of first segment freezing process, the last one icing data
For the terminal of final stage freezing process, it is considered as same icing according to two icing data that time interval is less than set period of time
Process.
S208, it is recorded according to sample data and the fan operation prestored maintenance, blowing machine is extracted from sample data and is being sent out
The shutdown operation data shut down in electric process by icing.
S209, blower is calculated in power generation process because of knot according to non-ice period wind speed-power curve and shutdown operation data
Ice shuts down generated energy loss caused by shutting down.
In the present embodiment, implement above-mentioned steps S208~step S209, can be transported according to sample data and the blower prestored
Row maintenance record, calculates and shuts down generated energy loss caused by blower is shut down in power generation process because of icing.
S210, according to icing generated energy lose and shut down generated energy loss, calculate blower within the preset assessment period because
The loss of total power generation caused by blade freezes.
S211, it is lost according to preset assessment rule and total power generation, calculates the fan blade deicing investment for needing to assess
The investment repayment of scheme.
S212, integrated decision-making assessment is carried out to fan blade deicing capital project according to assessment rule and investment repayment, obtained
To assessment result.
In the present embodiment, implement above-mentioned steps S211~step S212, it can be according to preset assessment rule and total hair
The fan blade deicing capital project that electric quantity loss assesses needs is assessed, and assessment result is obtained.
In the present embodiment, preset assessment rule includes but is not limited to assessment reference amount, accounting criteria, specific system etc.,
Wherein, assessment includes but is not limited to investment budgey, expected generated energy enhancing rate, the length of service referring to amount, and accounting criteria can be
Accounting criteria is returned in financial investment, and specific system can be investment examination and approval system etc., and to this, this embodiment is not limited.
In the present embodiment, assessment result includes assess to fan blade deicing capital project referring to amount according to assessment
To initial assessment result, accounting criteria is returned according to financial investment fan blade deicing capital project is calculated
It calculates result and the comprehensive assessment that comprehensive assessment obtains is carried out to fan blade deicing capital project according to investment examination and approval system
As a result, carrying out comprehensive assessment to the fan blade deicing capital project in turn, Evaluation accuracy and comprehensive, reduction subjectivity are promoted
The influence of human factor.
As it can be seen that implement the described method for assessing fan blade deicing capital project of Fig. 2, it can be without artificial
Under the premise of operation, by the sample data of blower actual motion, rapidly and accurately fan blade deicing capital project is carried out
Assessment, avoids the subjective impact of manual evaluation, and then effectively improves assessment efficiency and Evaluation accuracy.
Embodiment 3
Referring to Fig. 3, Fig. 3 is provided in an embodiment of the present invention a kind of for assessing the dress of fan blade deicing capital project
The structural schematic diagram set.Wherein, as shown in figure 3, the device for being used to assess fan blade deicing capital project includes:
Module 301 is obtained, for obtaining the sample data of fan operation.
First computing module 302 is used for according to sample data, caused by calculating blower freezes in power generation process because of blade
The loss of icing generated energy.
Second computing module 303, for calculating blower and sending out according to sample data and the fan operation prestored maintenance record
Because shutting down generated energy loss caused by the shutdown that freezes in electric process.
Third computing module 304 calculates blower default for generated energy loss to be lost and shut down according to icing generated energy
Assessment period internal cause blade freeze caused by total power generation loss.
Evaluation module 305, the blower leaf for being assessed according to preset assessment rule and total power generation loss needs
Piece deicing capital project is assessed, and assessment result is obtained.
As it can be seen that implementing Fig. 3 is described for assessing the device of fan blade deicing capital project, it can be without artificial
Under the premise of operation, by the sample data of blower actual motion, rapidly and accurately fan blade deicing capital project is carried out
Assessment, avoids the subjective impact of manual evaluation, and then effectively improves assessment efficiency and Evaluation accuracy.
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 method or the modules in the above-mentioned device for assessing fan blade deicing capital project.
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.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be intelligence
Can mobile phone, personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory),
Random access memory (RAM, Random Access Memory), magnetic or disk etc. be various to can store program code
Medium.
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, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of method for assessing fan blade deicing capital project, which comprises
Obtain the sample data of fan operation;
According to the sample data, calculates icing generated energy caused by the blower freezes in power generation process because of blade and lose;
It is characterized in that, the method also includes:
According to the sample data and the fan operation prestored maintenance record, the blower is calculated in power generation process because icing stops
Generated energy loss is shut down caused by machine;
According to icing generated energy loss and shutdown generated energy loss, the blower is calculated within the preset assessment period
Total power generation caused by freezing because of blade is lost;
The fan blade deicing capital project that needs are assessed according to preset assessment rule and total power generation loss into
Row assessment, obtains assessment result.
2. the method according to claim 1 for assessing fan blade deicing capital project, which is characterized in that described to obtain
Take the sample data of fan operation, comprising:
The initial data of fan operation is obtained, and integrity detection is carried out to the initial data and is obtained with removing interference data
Handle data;
Processing is filtered to the processing data, to remove operation data of the blower in the case where limiting power rating, obtains sample
Notebook data.
3. the method according to claim 1 for assessing fan blade deicing capital project, which is characterized in that the sample
Notebook data includes temporal information, the operation data of the blower corresponding with the temporal information for recording data, wherein described
Operation data includes the ambient wind velocity and the blower of the environment temperature of the blower local environment, the blower local environment
Actual motion power.
4. the method according to claim 3 for assessing fan blade deicing capital project, which is characterized in that according to institute
Sample data is stated, icing generated energy caused by the blower freezes in power generation process because of blade is calculated and loses, comprising:
According to preset ice period division rule, the sample data is divided into ice period data and non-ice period data;
Building is for being fitted wind speed-power curve artificial intelligence model of fit;
According to the non-ice period data, non-ice period wind speed-power curve is generated by the artificial intelligence model of fit;
According to the non-ice period wind speed-power curve and the ice period data, calculates the blower and freeze in fan blade
The gross data of Shi Yunhang;
According to the ice period data and the gross data, calculate caused by the blower freezes in power generation process because of blade
The loss of icing generated energy.
5. the method according to claim 4 for assessing fan blade deicing capital project, which is characterized in that according to institute
Ice period data and the gross data are stated, the generated energy that freezes caused by the blower freezes in power generation process because of blade is calculated
Loss, comprising:
According to preset freezing process division rule, the ice period data and the gross data, multiple freezing times are determined
Section, and obtain the operation data corresponding with each freezing time section;
According to the operation data corresponding with each freezing time section, the corresponding generated energy of each freezing time section is calculated
Loss;
Read group total is carried out to all corresponding generated energy losses of the freezing time section, obtains the blower in power generation process
Icing generated energy loses caused by the middle icing because of blade.
6. the method according to claim 4 for assessing fan blade deicing capital project, which is characterized in that according to institute
The fan operation maintenance record stating sample data and prestoring calculates the blower in power generation process because stopping caused by the shutdown that freezes
The loss of machine generated energy, comprising:
According to the sample data and the fan operation prestored maintenance record, the blower is extracted from the sample data and is existed
The shutdown operation data shut down in power generation process by icing;
According to the non-ice period wind speed-power curve and the shutdown operation data calculate the blower in power generation process because
It freezes and shuts down generated energy loss caused by shutting down.
7. the method according to claim 1 for assessing fan blade deicing capital project, which is characterized in that described
It is assessed according to the fan blade deicing capital project that needs are assessed in preset assessment rule and total power generation loss,
Obtain assessment result, comprising:
According to preset assessment rule and total power generation loss, calculates and the fan blade deicing capital project assessed is needed to remove
The investment repayment of ice capital project;
Integrated decision-making assessment is carried out to the fan blade deicing capital project according to the assessment rule and the investment repayment,
Obtain assessment result.
8. a kind of for assessing the device of fan blade deicing capital project characterized by comprising
Module is obtained, for obtaining the sample data of fan operation;
First computing module, for calculating the blower in power generation process because blade icing causes according to the sample data
Icing generated energy loss;
Second computing module, for calculating the blower and existing according to the sample data and the fan operation prestored maintenance record
Because shutting down generated energy loss caused by the shutdown that freezes in power generation process;
Third computing module calculates the blower for losing according to icing generated energy loss and the shutdown generated energy
Total power generation caused by freezing within the preset assessment period because of blade is lost;
Evaluation module, the fan blade for being assessed according to preset assessment rule and total power generation loss needs remove
Ice capital project is assessed, and assessment result is obtained.
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 for assessing fan blade deicing capital project 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.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811408091.7A CN109236589B (en) | 2018-11-23 | 2018-11-23 | It is a kind of for assessing the method and device of fan blade deicing capital project |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811408091.7A CN109236589B (en) | 2018-11-23 | 2018-11-23 | It is a kind of for assessing the method and device of fan blade deicing capital project |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109236589A CN109236589A (en) | 2019-01-18 |
CN109236589B true CN109236589B (en) | 2019-08-23 |
Family
ID=65076405
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811408091.7A Active CN109236589B (en) | 2018-11-23 | 2018-11-23 | It is a kind of for assessing the method and device of fan blade deicing capital project |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109236589B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109973333B (en) * | 2019-03-19 | 2020-11-06 | 南京航空航天大学 | Performance evaluation method for electric heating deicing system of wind turbine |
CN111852793A (en) * | 2020-07-30 | 2020-10-30 | 湖南拓天节能控制技术股份有限公司 | Method and device for combined control of fan starting and blade deicing prevention |
CN112682277B (en) * | 2020-12-25 | 2021-10-12 | 湖南拓天节能控制技术股份有限公司 | Method for counting increased power generation amount of fan and deicing system |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2615301B1 (en) * | 2012-01-10 | 2015-08-05 | Nordex Energy GmbH | Method for operating a wind energy assembly, for which the risk of icing is determined on the basis of meteorological data and wind energy assembly for implementing the method |
EP2778404A1 (en) * | 2013-03-14 | 2014-09-17 | Siemens Aktiengesellschaft | Method to de-ice wind turbines of a wind park |
CN106523300B (en) * | 2017-01-03 | 2019-03-19 | 国电联合动力技术有限公司 | Wind turbines based on nacelle wind speed instrument lose electricity appraisal procedure |
CN107276079A (en) * | 2017-06-28 | 2017-10-20 | 北京奥新源科技股份有限公司 | A kind of intelligent cleaning assessment system |
CN108425812A (en) * | 2018-01-18 | 2018-08-21 | 内蒙古久和能源装备有限公司 | A kind of wind generator set blade icing flexible measurement method |
-
2018
- 2018-11-23 CN CN201811408091.7A patent/CN109236589B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN109236589A (en) | 2019-01-18 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Lin et al. | Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks | |
Schlechtingen et al. | Using data-mining approaches for wind turbine power curve monitoring: A comparative study | |
CN109488528B (en) | Method and device for adjusting fan yaw system | |
Dai et al. | Research on power coefficient of wind turbines based on SCADA data | |
Wang et al. | Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources | |
CN109236589B (en) | It is a kind of for assessing the method and device of fan blade deicing capital project | |
Salimi et al. | Simultaneous operation of wind and pumped storage hydropower plants in a linearized security-constrained unit commitment model for high wind energy penetration | |
CN106058941B (en) | A kind of wind power plant random optimization dispatching method based on scene analysis | |
CN105492762B (en) | According to the method for its component life of wind turbine or the location determination of similar devices | |
CN105134510A (en) | State monitoring and failure diagnosis method for wind generating set variable pitch system | |
CN102709909B (en) | Active distribution network reliability estimation method when wind-power electricity generation accesses | |
CN107798462A (en) | A kind of wind power plant wind power generating set operation exception monitor and performance evaluation system | |
CN112459965A (en) | Yaw optimization control method, device, equipment and medium considering wind power plant wake flow | |
Dhiman et al. | Wake management based life enhancement of battery energy storage system for hybrid wind farms | |
Hu et al. | Using domain knowledge features for wind turbine diagnostics | |
CN111224425A (en) | Wind storage system black start frequency control method and system based on hierarchical predictive control | |
CN108847679B (en) | Wind generating set and subsynchronous oscillation identification method, device and system for wind generating set | |
Carrasco et al. | A site-specific design of a fixed-pitch fixed-speed wind turbine blade for energy optimization using surrogate models | |
Xiyun et al. | Wind power probability interval prediction based on bootstrap quantile regression method | |
Martinez et al. | Predicting wind turbine blade erosion using machine learning | |
Al-Jumaili et al. | Economic dispatch optimization for thermal power plants in Iraq | |
Dong et al. | Optimised yaw model for adaptive wind direction characteristic based on a data‐driven approach | |
Wang et al. | Reliability assessment of wind farm active power based on sequential monte-carlo method | |
Dao et al. | Modelling the effects of reliability and maintenance on levelised cost of wind energy | |
CN115392560A (en) | Converter fault prediction method and system based on decision tree |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |