CN105298751B - The vertical axis wind power generation test device of survey is sentenced based on Distributed Detection and data - Google Patents
The vertical axis wind power generation test device of survey is sentenced based on Distributed Detection and data Download PDFInfo
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- CN105298751B CN105298751B CN201510705694.3A CN201510705694A CN105298751B CN 105298751 B CN105298751 B CN 105298751B CN 201510705694 A CN201510705694 A CN 201510705694A CN 105298751 B CN105298751 B CN 105298751B
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- 238000012360 testing method Methods 0.000 title claims abstract description 18
- 238000010248 power generation Methods 0.000 title claims abstract description 14
- 238000001514 detection method Methods 0.000 title claims abstract description 9
- 238000005259 measurement Methods 0.000 claims abstract description 82
- 238000012545 processing Methods 0.000 claims abstract description 65
- 238000004891 communication Methods 0.000 claims abstract description 47
- 238000012544 monitoring process Methods 0.000 claims abstract description 46
- 238000003860 storage Methods 0.000 claims abstract description 14
- 238000000034 method Methods 0.000 claims abstract description 11
- 230000010287 polarization Effects 0.000 claims abstract description 11
- 230000002159 abnormal effect Effects 0.000 claims abstract description 5
- 238000009434 installation Methods 0.000 abstract description 7
- 230000004927 fusion Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000006855 networking Effects 0.000 abstract 1
- 230000005540 biological transmission Effects 0.000 description 9
- 238000012806 monitoring device Methods 0.000 description 4
- 230000033228 biological regulation Effects 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 230000036541 health Effects 0.000 description 3
- 230000004069 differentiation Effects 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
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- 238000013480 data collection Methods 0.000 description 1
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- 238000012795 verification Methods 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/06—Controlling wind motors the wind motors having rotation axis substantially perpendicular to the air flow entering the rotor
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/80—Diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/70—Type of control algorithm
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/74—Wind turbines with rotation axis perpendicular to the wind direction
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- 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)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The invention discloses a kind of vertical axis wind power generation test device that survey is sentenced based on Distributed Detection and data, mainly it is made up of in-site measurement and processing equipment and host computer intelligent display device.In-site measurement includes air force measurement module, generated output measurement module, vertical axis polarization measurement module, electromagnetism and noise measurement module, data monitoring processing module with processing equipment.In the microprocessor of data monitoring processing module there is data exception to sentence method of determining and calculating, can differentiate whether measurement data is abnormal.In-site measurement is powered with using Zigbee wireless telecommunications inside processing equipment, and using wind-light storage mode.In-site measurement uses WiFi wireless telecommunications with processing equipment with host computer intelligent display device.The present invention is by technologies such as FUSION WITH MULTISENSOR DETECTION, Wi-Fi communication, multimicroprocessor computings, with the features such as easy for installation, test is reliable, function modoularization, networking flexibility, friendly interface, easy care.
Description
Technical field
It is a kind of hanging down for survey to be sentenced based on Distributed Detection and data the present invention relates to wind generator system integrated monitor field
D-axis wind-power electricity generation test device.
Background technology
" equipment will develop, and test must be in advance ".Middle-size and small-size wind power plant is from design, trial-production until producing and safeguarding
Verification and testing is all be unable to do without in journey.And due to the natural particularity of wind energy utilization, equipment is either in the wind-tunnel at research and development initial stage
Test, or the live operational monitoring of model machine or product, the data acquisition based on manual type and wire transmission mode is all
It is extremely inconvenient.
Wind generator system distributed multi-sensor connection procedure exception very complicated based on wire transmission mode, test
The labor intensity of personnel is big.Tested in wind-tunnel narrow space, can also caused by the difference of conductor wiring mode local wind field
Distortion, influence measuring accuracy, in addition caused by wire dropping rotary shaft winding, cause major accident.Transported in wind-power electricity generation
Row scene, because the geography and meteorological condition of Site for Unit installation are more severe, such as the physical features eminence in suburb or urban district, roof
Deng long-term substantial amounts of hand data collection is extremely inconvenient, and long wire will also result in serious signal attenuation and interference.
Therefore, the practical application request according to wind turbine power generation equipment, using based on wireless telecommunications distributed sensor networks
Running state parameter intelligent test system platform, it is significant to the whole life cycle of wind-power electricity generation product, and
With good application, practical prospect.
The content of the invention
It is easy for installation, test is reliable, easy care based on Multi net voting it is an object of the invention to provide a kind of rational in infrastructure
Fusion and the vertical axis wind power generation monitoring device of distributed sensing.
The present invention technical solution be：
A kind of vertical axis wind power generation monitoring device based on multiple networks fusion and distributed sensing, it is characterized in that：Including
In-site measurement and processing equipment, in-site measurement communicate with processing equipment and host computer intelligent display device；The in-site measurement with
Processing equipment includes air force measurement module, generated output measurement module, vertical axis polarization measurement module, electromagnetism and noise and surveyed
Module is measured, above-mentioned each measurement module communicates with data monitoring processing module；The vertical axis polarization measurement module includes 3 twin shafts
Magnetoresistive transducer, the top, bottom and wind power generator rotor for being respectively arranged in vertical-axis wind turbine main shaft go out shaft end；It is described each
Measurement module includes microprocessor and Zigbee wireless communication interfaces；The data monitoring processing module include microprocessor,
Zigbee wireless communication interfaces and WiFi wireless communication interfaces；Above-mentioned each measurement module passes through respective Zigbee wireless communication interfaces
Communicated with the Zigbee wireless communication interfaces of data monitoring processing module；The WiFi channel radios of the host computer intelligent display device
Communication interface and the WiFi wireless communication interfaces of data monitoring processing module communicate；
The microprocessor of the data monitoring processing module sentences method of determining and calculating using data exception；The data exception sentences measuring and calculating
Method comprises the following steps：
(1) electrical power generators power P is obtainedeWith the real-time measurement values of angular velocity omega；
(2) the mechanical output observation of vertical-axis wind turbine is calculated as follows out
In formula, J is the rotary inertia of vertical-axis wind turbine；z1, z2For state variable；L is positive constant coefficient.
(3) vertical-axis wind turbine mechanical output P is obtainedmReal-time measurement values；
(4) the mechanical output observation that will be calculatedWith mechanical output PmReal-time measurement values be compared, if two
Person's deviation is less than 15%, then can determine that " measurement data is normal ", otherwise judges " measurement data is abnormal ".
The in-site measurement uses Zigbee channel radios with each measurement module in processing equipment with data monitoring processing module
Interrogate agreement both-way communication；The data monitoring processing module is double using WiFi home control network communication protocols with host computer intelligent display device
To communication.
The Zigbee wireless communication interfaces of the in-site measurement and each measurement module in processing equipment are configured to slave unit mould
Formula, the Zigbee wireless communication interfaces of data monitoring processing module are configured to master coordinator pattern；The data monitoring handles mould
The WiFi wireless communication interfaces of block are configured to pure access point mode.
Stating air force measurement module also includes air velocity transducer, air-temperature sensor, baroceptor and photovoltaic electroplax group；
The in-site measurement is powered with processing equipment using wind-light storage mode.
Data monitoring processing module calculates vertical-axis wind turbine in its master in real time according to the data of twin shaft magnetoresistive transducer
Axle top, bottom and wind power generator rotor go out shaft end, deflection mean square deviation, kurtosis, deflection on 3 horizontal cross-section biaxially orienteds
Angle value, and according to the differentiation for compared with pre-set threshold value, forming vertical axis dynamic mechanically inclination health degree.
The present invention is rational in infrastructure, easy for installation, test is reliable, easy care；Its advantage also resides in：
(1) distributed multimicroprocessor technology is used so that each functional part physical dispersion of system, the module of software and hardware
Change degree and reliability improve, beneficial to maintenance upgrade and maintenance.
(2) measured signal is field digitized, improves precision, avoid conventional analog signal over long distances transmission decay and
The problems such as being easily disturbed.
(3) more Wi-Fi mechanicss of communication are used, high cost, high power consumption, the line for avoiding wire transmission are cumbersome, installation
The problems such as inconvenience is with mechanical strength reliability.
(4) method of the observer estimate compared with measured value is used, to judge that data monitoring processing module receives
Related data it is whether authentic and valid so that the Monitoring Data of test system is relatively reliable.
Brief description of the drawings
The invention will be further described with reference to the accompanying drawings and examples.
Fig. 1 is the overall construction drawing of one embodiment of the invention.
Fig. 2 is that air force measurement module forms structure chart.
Fig. 3 is the installation site distribution map of twin shaft magnetoresistive transducer.
Fig. 4 is vertical axis polarization curve (t, σi,Kuri,Sci) exemplary plot.
Fig. 5 is aerodynamic characteristics of rotor curve (λ, Cp) exemplary plot.
Fig. 6 is that wind wheel machinery goes out characteristic curve (vw,n,Pm) exemplary plot.
Fig. 7 is electrical power output characteristic curve (vw,Pe) exemplary plot.
Fig. 8 is speed regulation characteristic (vw, n) and exemplary plot.
Fig. 9 is unit efficiency curve (vw, η) and exemplary plot.
Figure 10 is electromagnetism intensity curve (t, Em) exemplary plot.
Figure 11 is noise curve (t, ANL) exemplary plot.
Embodiment
A kind of vertical axis wind power generation monitoring device based on multiple networks fusion and distributed sensing, including in-site measurement with
Processing equipment, in-site measurement communicate with processing equipment and host computer intelligent display device；The in-site measurement and processing equipment bag
Air force measurement module, generated output measurement module, vertical axis polarization measurement module, electromagnetism and noise measurement module are included, on
Each measurement module is stated to communicate with data monitoring processing module；The vertical axis polarization measurement module includes 3 twin shaft magneto-resistive transducings
Device, the top, bottom and wind power generator rotor for being respectively arranged in vertical-axis wind turbine main shaft go out shaft end；Each measurement module
Including microprocessor and Zigbee wireless communication interfaces；The data monitoring processing module includes microprocessor, Zigbee is wireless
Communication interface and WiFi wireless communication interfaces；Above-mentioned each measurement module passes through respective Zigbee wireless communication interfaces and data monitoring
The Zigbee wireless communication interfaces communication of processing module；The WiFi wireless communication interfaces and number of the host computer intelligent display device
Communicated according to the WiFi wireless communication interfaces of monitoring processing module.
In-site measurement is powered with processing equipment using wind-light storage mode.Showed with the one hand reducing vertical axis wind power generation system
The long range of field measurement and the externally fed circuit of processing equipment is transmitted, and on the other hand can increase in-site measurement and processing equipment
The reliability of power supply.
Further, air velocity transducer, air-temperature sensor, air pressure sensing are also included referring to Fig. 2, air force measurement module
Device and photovoltaic electroplax group, its microprocessor become the sensor the wind speed v sentw, temperature T and air pressure P signal be converted into counting
Word information, data monitoring processing module is then passed to by its Zigbee wireless communication interface.Photovoltaic electroplax group is moved for air
Power measurement module is powered, to reduce the transmission of the long range of externally fed circuit.
Generated output measurement module also includes voltage sensor, current sensor and electric voltage frequency observation circuit, its micro- place
The sensor and observation circuit are become reason device into the voltage V, the electric current I that send and electric voltage frequency f signals are converted into digital information, so
Data monitoring processing module is passed to by its Zigbee wireless communication interface afterwards.
Vertical axis polarization measurement module also includes 3 twin shaft magnetoresistive transducers, and its microprocessor detects each sensor
To the declination signal of vertical axis horizontal direction twin shaft be converted into digital information, then transmitted by Zigbee wireless communication interfaces
Give data monitoring processing module.Referring to Fig. 3, for the installation site distribution map of 3 twin shaft magnetoresistive transducers.In Fig. 3,101 be vertical
D-axis wind turbine, 102 be vertical-axis wind turbine vertical axis main shaft, be co-axially mounted in its underpart wind-driven generator 103,104,
105 and 106 be 3 twin shaft magnetoresistive transducers, and they are respectively arranged in the top, bottom and wind-driven generator of vertical-axis wind turbine
Rotor goes out shaft end.
Electromagnetism and noise measurement module also include electromagnetism intensity sensor and noise transducer, and its microprocessor is by above-mentioned biography
Sensor becomes the electromagnetism intensity sent and noise signal is converted into digital information, then passes through its Zigbee wireless communication interface transmission
Give data monitoring processing module.
In-site measurement is assisted with each measurement module in processing equipment with data monitoring processing module using Zigbee wireless telecommunications
Both-way communication is discussed, wherein, the Zigbee wireless communication interfaces of each measurement module are configured to slave unit pattern, data monitoring processing mould
The Zigbee wireless communication interfaces of block are configured to master coordinator pattern.
Data monitoring processing module receives and stores the data of twin shaft magnetoresistive transducer.Calculated in real time by its microprocessor again
Go out vertical-axis wind turbine and go out shaft end in its main shaft top, bottom and wind power generator rotor, it is each on 3 horizontal cross-section biaxially orienteds
From deflection meansquaredeviationσi, kurtosis Kuri, degree of skewness SciIt is worth, wherein i=1,2,3, represents the volume of 3 twin shaft magnetoresistive transducers
Number.
To have N number of sample point data (x in one group of service data setik, k=1 ..., N) exemplified by, its deflection mean square deviation
σi, kurtosis Kuri, degree of skewness SciCalculating formula it is as follows：
Data monitoring processing module compared with the pre-set threshold value of its storage inside, forms vertical axis according to above formula result of calculation
Dynamic mechanically tilts the differentiation of health degree, such as " normal operation ", " drift angle is smaller " and " drift angle is larger " instruction.
Meanwhile data monitoring processing module is by current time t and 3 groups of meansquaredeviationσs of vertical-axis wind turbinei, kurtosis Kuri、
Degree of skewness SciForm storage (t, σ have been carried out respectively as a pair of horizontal strokes, longitudinal axis datai,Kuri,Sci), you can obtain vertical axis master
The draw data of axle polarization curve, such as Fig. 4.
Data monitoring processing module receives and stored the wind speed v that the transmission of air force measurement module comesw, temperature T, air pressure letter
Number P, and voltage V, the electric current I and electric voltage frequency f signals that the transmission of generated output measurement module comes.Its microprocessor according to its
Temperature-air pressure-atmospheric density function of storage inside, calculates atmospheric density ρ.Again by the wind-driven generator base of its storage inside
This electromechanical parameters, including generated output COEFFICIENT Ke, power generator electrode logarithm np, vertical axis rotor radius R, wind wheel sweep wind sectional area A
Deng by calculating formula
Pe=KeUI
Vertical-axis wind turbine rotating speed n, angular velocity omega, tip speed ratio λ, relative moment coefficient C are calculated respectivelymAnd generator
Generated output Pe.Further according to following calculating formula
Cp=Cmλ、Pm=0.5 ρ Avw 3Cmλ、
The power coefficient C of vertical-axis wind turbine is calculated respectivelyp, mechanical output PmWith unit efficiency η.
Further, data monitoring processing module：
By tip speed ratio λ and power coefficient CpForm storage (λ, C have been carried out as a pair of horizontal strokes, longitudinal axis datap), i.e.,
The draw data of aerodynamic characteristics of rotor curve, such as Fig. 5 can be obtained.
By various identical wind speed vwVertical-axis wind turbine rotating speed n and mechanical output P under sectionmAs a pair of horizontal, longitudinal axis numbers
(v is stored according to form has been carried outw,n,Pm), you can obtain wind wheel machinery and go out characteristic draw data, such as Fig. 6.
By wind speed vwWith electrical power generators power PeForm storage (v has been carried out as a pair of horizontal strokes, longitudinal axis dataw,Pe), i.e.,
The draw data of electrical power output characteristic curve, such as Fig. 7 can be obtained.
By wind speed vwWith vertical-axis wind turbine rotating speed n form storage (v has been carried out as a pair of horizontal strokes, longitudinal axis dataw, n), i.e.,
The draw data of speed regulation characteristic, such as Fig. 8 can be obtained.
By wind speed vwWith unit efficiency η form storage (v has been carried out as a pair of horizontal strokes, longitudinal axis dataw, η), you can obtain machine
The draw data of group efficiency curve, such as Fig. 9.
Data monitoring processing module receives and stored the electromagnetism intensity and noise figure that electromagnetism comes with noise measurement module transmission,
Time t and electromagnetism intensity E will be receivedmForm storage (t, E have been carried out as a pair of horizontal strokes, longitudinal axis datam), you can it is strong to obtain electromagnetism
Write music the draw data of line, such as Figure 10；Time t and noise ANL will be received and carried out form storage as a pair of horizontal strokes, longitudinal axis data
(t, ANL), you can obtain the draw data of noise curve, such as Figure 11.
In order to sentence whether survey the related data that receives of data monitoring processing module authentic and valid, observer estimate can be used
Method compared with measured value judges.Its principle includes：
The mechanical-electric coupling kinematical equation of vertical axis wind power generation system can be expressed as
In formula, J is the rotary inertia of vertical-axis wind turbine, and B is the coefficient of friction of vertical axis wind power generation axis system.
Above formula shows, electrical power generators power Pe, angular velocity omega and vertical-axis wind turbine mechanical output PmIt is associated.
Therefore, if assuming vertical-axis wind turbine mechanical output PmFor unknown quantity, then it can pass through known electrical power generators power PeWith angle speed
ω is spent, the mechanical output observation of vertical-axis wind turbine is calculated using following formula
In formula, J is the rotary inertia of vertical-axis wind turbine；z1, z2For state variable；L is positive constant coefficient.
The mechanical output observation that will be calculatedWith mechanical output PmReal-time measurement values be compared, if the two is inclined
Difference is less than 15%, then can determine that " measurement data is normal ", otherwise judges " measurement data is abnormal ".
Above-mentioned data exception, which sentences method of determining and calculating, to be realized by the microprocessor in data monitoring processing module, software programming.
Data monitoring processing module uses WiFi home control network communication protocol both-way communications with host computer intelligent display device, its
In, the WiFi wireless communication interfaces of data monitoring processing module are configured to pure access point mode (AP).Host computer intelligent display is set
It is standby can be PC, tablet personal computer or mobile phone etc. intelligently can portable equipment, their websites as WiFi wireless telecommunications
(STA) data monitoring processing module, can be accessed, data exchange and access are carried out, larger to increase the intelligence of this monitoring device
Energyization, portability and close friendization.
Host computer intelligent display device internal operation corresponding program, painted receiving from all kinds of of data monitoring processing module
Diagram data, including aerodynamic characteristics of rotor curve data (λ, Cp), wind wheel machinery go out characteristic curve data (vw,n,Pm), electric work
Rate output characteristic curve data (vw,Pe), speed regulation characteristic data (vw, n), unit efficiency curve data (vw, η), electromagnetism it is strong
Spend curve data (t, Em), noise curve data (t, ANL), vertical axis polarization curve data (t, σi,Kuri,Sci), using retouching
Point method does figure, shows on the display device.Meanwhile show that data exception sentences " measurement data is normal " that method of determining and calculating provides
Or " measurement data is abnormal ", and the result of determination of vertical axis dynamic mechanically inclination health degree, seen for user and monitoring personnel
Examine judgement.
Claims (4)
1. a kind of vertical axis wind power generation test device that survey is sentenced based on Distributed Detection and data, it is characterized in that：Including scene
Measurement and processing equipment, in-site measurement communicate with processing equipment and host computer intelligent display device；The in-site measurement and processing
Equipment includes air force measurement module, generated output measurement module, vertical axis polarization measurement module, electromagnetism and noise testing mould
Block, above-mentioned each measurement module communicate with data monitoring processing module；The vertical axis polarization measurement module includes 3 twin shaft magnetic resistance
Sensor, the top, bottom and wind power generator rotor for being respectively arranged in vertical-axis wind turbine main shaft go out shaft end；Each measurement
Module includes microprocessor and Zigbee wireless communication interfaces；The data monitoring processing module includes microprocessor, Zigbee
Wireless communication interface and WiFi wireless communication interfaces；Above-mentioned each measurement module passes through respective Zigbee wireless communication interfaces and data
Monitor the Zigbee wireless communication interfaces communication of processing module；The WiFi wireless communication interfaces of the host computer intelligent display device
Communicated with the WiFi wireless communication interfaces of data monitoring processing module；
The microprocessor of the data monitoring processing module sentences method of determining and calculating using data exception；The data exception sentences method of determining and calculating bag
Include following steps：
(1) electrical power generators power P is obtainedeWith the real-time measurement values of angular velocity omega；
(2) the mechanical output observation of vertical-axis wind turbine is calculated as follows out
In formula, J is the rotary inertia of vertical-axis wind turbine；z1, z2For state variable；L is positive constant coefficient；
(3) vertical-axis wind turbine mechanical output P is obtainedmReal-time measurement values；
(4) the mechanical output observation that will be calculatedWith mechanical output PmReal-time measurement values be compared, if the two deviation
Less than 15%, then " measurement data is normal " is can determine that, otherwise judged " measurement data is abnormal ".
2. the vertical axis wind power generation test device according to claim 1 that survey is sentenced based on Distributed Detection and data, its
It is characterized in：The in-site measurement uses Zigbee wireless telecommunications with each measurement module in processing equipment with data monitoring processing module
Agreement both-way communication；The data monitoring processing module is two-way using WiFi home control network communication protocols with host computer intelligent display device
Communication.
3. the vertical axis wind power generation test device according to claim 1 that survey is sentenced based on Distributed Detection and data, its
It is characterized in：The Zigbee wireless communication interfaces of the in-site measurement and each measurement module in processing equipment are configured to slave unit mould
Formula, the Zigbee wireless communication interfaces of data monitoring processing module are configured to master coordinator pattern；The data monitoring handles mould
The WiFi wireless communication interfaces of block are configured to pure access point mode.
4. the vertical axis wind power generation test device according to claim 1 that survey is sentenced based on Distributed Detection and data, its
It is characterized in：The air force measurement module also includes air velocity transducer, air-temperature sensor, baroceptor and photovoltaic electroplax
Group；The in-site measurement is powered with processing equipment using wind-light storage mode.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710769636.6A CN107654340B (en) | 2015-10-27 | 2015-10-27 | The digitlization vertical axis wind power generation test device communicated using more Wi-Fis |
| CN201710770149.1A CN107448363B (en) | 2015-10-27 | 2015-10-27 | The multimicroprocessor vertical axis wind power generation test device for having data exception real-time monitoring |
| CN201510705694.3A CN105298751B (en) | 2015-10-27 | 2015-10-27 | The vertical axis wind power generation test device of survey is sentenced based on Distributed Detection and data |
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| CN201510705694.3A CN105298751B (en) | 2015-10-27 | 2015-10-27 | The vertical axis wind power generation test device of survey is sentenced based on Distributed Detection and data |
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| CN201710770149.1A Division CN107448363B (en) | 2015-10-27 | 2015-10-27 | The multimicroprocessor vertical axis wind power generation test device for having data exception real-time monitoring |
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| CN201510705694.3A Active CN105298751B (en) | 2015-10-27 | 2015-10-27 | The vertical axis wind power generation test device of survey is sentenced based on Distributed Detection and data |
| CN201710770149.1A Active CN107448363B (en) | 2015-10-27 | 2015-10-27 | The multimicroprocessor vertical axis wind power generation test device for having data exception real-time monitoring |
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| CN111596647B (en) * | 2020-06-01 | 2021-08-06 | 国电联合动力技术有限公司 | Efficient and intelligent test system and method for wind turbine generator |
| CN111859679B (en) * | 2020-07-24 | 2023-12-26 | 国电联合动力技术有限公司 | Wind turbine generator test load acquisition method, and method and device for comparing wind turbine generator test load with simulation load |
| CN112799378A (en) * | 2021-01-04 | 2021-05-14 | 中车株洲电力机车研究所有限公司 | Diagnosis and simulation method for hardware signal of wind generating set |
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| CN101576059B (en) * | 2009-04-02 | 2011-10-26 | 保定天威集团有限公司 | Variable-pitch controller for wind power generator |
| US8279073B2 (en) * | 2009-09-18 | 2012-10-02 | General Electric Company | Systems, methods, and apparatus for monitoring and controlling a wind driven machine |
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2015
- 2015-10-27 CN CN201710769636.6A patent/CN107654340B/en active Active
- 2015-10-27 CN CN201510705694.3A patent/CN105298751B/en active Active
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Also Published As
| Publication number | Publication date |
|---|---|
| CN107654340A (en) | 2018-02-02 |
| CN107448363B (en) | 2019-03-05 |
| CN107448363A (en) | 2017-12-08 |
| CN105298751A (en) | 2016-02-03 |
| CN107654340B (en) | 2019-02-12 |
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