CN107448363B - The multimicroprocessor vertical axis wind power generation test device for having data exception real-time monitoring - Google Patents
The multimicroprocessor vertical axis wind power generation test device for having data exception real-time monitoring Download PDFInfo
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- CN107448363B CN107448363B CN201710770149.1A CN201710770149A CN107448363B CN 107448363 B CN107448363 B CN 107448363B CN 201710770149 A CN201710770149 A CN 201710770149A CN 107448363 B CN107448363 B CN 107448363B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 55
- 238000012360 testing method Methods 0.000 title claims abstract description 18
- 238000010248 power generation Methods 0.000 title claims abstract description 15
- 238000005259 measurement Methods 0.000 claims abstract description 87
- 238000012545 processing Methods 0.000 claims abstract description 66
- 238000004891 communication Methods 0.000 claims abstract description 48
- 238000003860 storage Methods 0.000 claims abstract description 14
- 230000010287 polarization Effects 0.000 claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000002159 abnormal effect Effects 0.000 claims abstract description 5
- 230000005611 electricity Effects 0.000 claims description 4
- 238000009434 installation Methods 0.000 abstract description 7
- 230000004927 fusion Effects 0.000 abstract description 4
- 238000001514 detection method Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 2
- 230000006855 networking Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 10
- 230000005540 biological transmission Effects 0.000 description 6
- 238000012806 monitoring device Methods 0.000 description 5
- 230000033228 biological regulation 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
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- 239000002131 composite material Substances 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- 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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- 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 multimicroprocessor vertical axis wind power generation test devices for having data exception real-time monitoring, are mainly made of in-site measurement and processing equipment and host computer intelligent display device.In-site measurement and processing equipment include air force measurement module, generated output measurement module, vertical axis polarization measurement module, electromagnetism and noise measurement module, data monitoring processing module.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.Zigbee wireless telecommunications are used inside in-site measurement and processing equipment, and are powered using wind-light storage mode.In-site measurement and processing equipment and host computer intelligent display device use WiFi wireless telecommunications.The present invention by the technologies such as FUSION WITH MULTISENSOR DETECTION, Wi-Fi communication, multimicroprocessor operation, with easy for installation, test reliably, function modoularization, networking flexibility, friendly interface, it is easy to maintain the features such as.
Description
The application is application number: 201510705694.3, the applying date: 2015.10.27, title " based on Distributed Detection and
Data sentence the vertical axis wind power generation test device of survey " divisional application.
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 technique
" 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, test based on wire transmission mode
The large labor intensity of personnel.Tested in wind-tunnel narrow space, can also because conductor wiring mode difference caused by local wind field
Distortion, influence measuring accuracy, or even because of the winding of rotary shaft caused by wire dropping, lead to major accident.It is transported in wind-power electricity generation
Row scene, since the geography and meteorological condition of Site for Unit installation are more severe, such as the topography eminence in suburb or urban district, roof
Deng long-term a large amount of hand data collection is extremely inconvenient, and too long conducting wire will also result in serious signal decaying and interference.
Therefore, according to the practical application request of wind turbine power generation equipment, using based on wireless telecommunications distributed sensor networks
Running state parameter intelligent test system platform, be of great significance to the whole life cycle of wind-power electricity generation product, and
With good application, practical prospect.
Summary of the invention
It is easy for installation, test is reliable, easy to maintain based on Multi net voting the purpose of the present invention is to provide a kind of structurally reasonable
The vertical axis wind power generation monitoring device of fusion and distributed sensing.
The technical solution of the invention is as follows:
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 and processing equipment and host computer intelligent display device communicate；The in-site measurement with
Processing equipment includes that air force measurement module, generated output measurement module, vertical axis polarization measurement module, electromagnetism and noise are surveyed
Module is measured, above-mentioned each measurement module and data monitoring processing module communicate；The vertical axis polarization measurement module includes 3 twin shafts
Magnetoresistive sensor, the top, bottom end 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 interface；The data monitoring processing module include microprocessor,
Zigbee wireless communication interface and WiFi wireless communication interface；Above-mentioned each measurement module passes through respective Zigbee wireless communication interface
It is communicated with the Zigbee wireless communication interface of data monitoring processing module；The WiFi channel radio of the host computer intelligent display device
Communication interface and the WiFi wireless communication interface 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 includes 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) by calculated mechanical output observationWith mechanical output PmReal-time measurement values be compared, if two
Person's deviation then can determine that " measurement data is normal " less than 15%, otherwise determine " measurement data is abnormal ".
Each measurement module and data monitoring processing module use Zigbee channel radio in the in-site measurement and processing equipment
Interrogate agreement both-way communication；The data monitoring processing module and host computer intelligent display device are double using WiFi home control network communication protocol
To communication.
The Zigbee wireless communication interface of each measurement module is configured to from equipment mould in the in-site measurement and processing equipment
The Zigbee wireless communication interface of formula, data monitoring processing module is configured to master coordinator mode；The data monitoring handles mould
The WiFi wireless communication interface of block is configured to pure access point mode.
Air force measurement module further includes air velocity transducer, air-temperature sensor, baroceptor and photovoltaic electric board group；Institute
It states in-site measurement and is powered with processing equipment using wind-light storage mode.
Data monitoring processing module calculates vertical-axis wind turbine in its master according to the data of twin shaft magnetoresistive sensor in real time
Axis top, bottom end 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 preset threshold, forming vertical axis dynamic mechanically inclination health degree.
Structure of the invention is reasonable, it is easy for installation, test it is reliable, easy to maintain；Its advantage also resides in:
(1) using distributed multimicroprocessor technology, so that each functional component physical dispersion of system, the module of software and hardware
Change degree and reliability improve, and are conducive to maintenance upgrade and maintenance.
(2) measured signal is field digitized, improves precision, avoid conventional analog signal long distance transmission decaying and
The problems such as vulnerable to interference.
(3) more Wi-Fi mechanicss of communication are used, high cost, high power consumption, the line for avoiding wire transmission be cumbersome, installation
The problems such as inconvenient and mechanical strength reliability.
(4) method being compared using observer estimated value with measured value, to determine that data monitoring processing module receives
Related data it is whether authentic and valid so that the monitoring data of test macro are relatively reliable.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 is the overall construction drawing of one embodiment of the invention.
Fig. 2 is air force measurement module composite structural diagram.
Fig. 3 is the installation site distribution map of twin shaft magnetoresistive sensor.
Fig. 4 is vertical axis polarization curve (t, σi,Kuri,Sci) exemplary diagram.
Fig. 5 is aerodynamic characteristics of rotor curve (λ, Cp) exemplary diagram.
Fig. 6 is that wind wheel machinery goes out characteristic curve (vw,n,Pm) exemplary diagram.
Fig. 7 is electrical power output characteristic curve (vw,Pe) exemplary diagram.
Fig. 8 is speed regulation characteristic (vw, n) and exemplary diagram.
Fig. 9 is unit efficiency curve (vw, η) and exemplary diagram.
Figure 10 is electromagnetism intensity curve (t, Em) exemplary diagram.
Figure 11 is noise curve (t, ANL) exemplary diagram.
Specific 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 and processing equipment and host computer intelligent display device communicate；The in-site measurement and processing equipment packet
Air force measurement module, generated output measurement module, vertical axis polarization measurement module, electromagnetism and noise measurement module are included, on
It states each measurement module and data monitoring processing module communicates；The vertical axis polarization measurement module includes 3 twin shaft magneto-resistive transducings
Device, the top, bottom end 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 interface；The data monitoring processing module includes microprocessor, Zigbee is wireless
Communication interface and WiFi wireless communication interface；Above-mentioned each measurement module passes through respective Zigbee wireless communication interface and data monitoring
The Zigbee wireless communication interface of processing module communicates；The WiFi wireless communication interface and number of the host computer intelligent display device
According to the WiFi wireless communication interface communication of monitoring processing module.
In-site measurement is powered with processing equipment using wind-light storage mode.It is existing on the one hand to reduce vertical axis wind power generation system
The long distance transmission of field measurement and the external power supply route of processing equipment, on the other hand can increase in-site measurement and processing equipment
The reliability of power supply.
Further, referring to fig. 2, air force measurement module further includes air velocity transducer, air-temperature sensor, air pressure sensing
Device and photovoltaic electric board group, the wind speed v that microprocessor carrys out the sensor pick-upw, temperature T and air pressure P signal be converted into counting
Then word information passes to data monitoring processing module by its Zigbee wireless communication interface.Photovoltaic electric board group is dynamic for air
Power measurement module power supply, to reduce the long distance transmission of external power supply route.
Generated output measurement module further includes voltage sensor, current sensor and electric voltage frequency observation circuit, micro- place
Voltage V, the electric current I that the sensor and observation circuit pick-up come and electric voltage frequency f signal are converted into digital information by reason device, so
Data monitoring processing module is passed to by its Zigbee wireless communication interface afterwards.
Vertical axis polarization measurement module further includes 3 twin shaft magnetoresistive sensors, and 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 interface
Give data monitoring processing module.It is the installation site distribution map of 3 twin shaft magnetoresistive sensors referring to Fig. 3.In Fig. 3,101 be vertical
D-axis wind turbine, 102 be vertical-axis wind turbine vertical axis main shaft, its underpart be co-axially mounted wind-driven generator 103,104,
105 and 106 be 3 twin shaft magnetoresistive sensors, they are respectively arranged in the top, bottom end and wind-driven generator of vertical-axis wind turbine
Rotor goes out shaft end.
Electromagnetism and noise measurement module further include electromagnetism intensity sensor and noise transducer, and microprocessor is by above-mentioned biography
The electromagnetism intensity and noise signal that sensor pick-up is come are converted into digital information, are then transmitted by its Zigbee wireless communication interface
Give data monitoring processing module.
Each measurement module and data monitoring processing module are assisted using Zigbee wireless telecommunications in in-site measurement and processing equipment
Discuss both-way communication, wherein the Zigbee wireless communication interface of each measurement module is configured to from equipment mode, and data monitoring handles mould
The Zigbee wireless communication interface of block is configured to master coordinator mode.
Data monitoring processing module receives and stores the data of twin shaft magnetoresistive sensor.It is calculated in real time by its microprocessor again
Vertical-axis wind turbine goes out shaft end in its main shaft top, bottom end and wind power generator rotor out, each on 3 horizontal cross-section biaxially orienteds
From deflection meansquaredeviationσi, kurtosis Kuri, degree of skewness SciValue, wherein i=1,2,3, represent the volume of 3 twin shaft magnetoresistive sensors
Number.
To have N number of sample point data (x in one group of operation data setik, k=1 ..., N) for, deflection mean square deviation
σi, kurtosis Kuri, degree of skewness SciCalculating formula it is as follows:
Data monitoring processing module compared with the preset threshold of its storage inside, forms vertical axis according to above formula calculated result
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 3 groups of meansquaredeviationσs of current time t and vertical-axis wind turbinei, kurtosis Kuri、
Degree of skewness SciFormat storage (t, σ have been carried out respectively as a pair of horizontal, longitudinal axis datai,Kuri,Sci), it can be obtained vertical axis master
The draw data of axis polarization curve, such as Fig. 4.
Data monitoring processing module receives and stores the wind speed v that the transmitting of air force measurement module comesw, temperature T, air pressure letter
Voltage V, the electric current I and electric voltage frequency f signal that number P and the transmitting of generated output measurement module come.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 swing flap sectional area A
Deng by calculating formula
Calculate separately out vertical-axis wind turbine revolving speed n, angular velocity omega, tip speed ratio λ, relative moment coefficient CmAnd generator
Generated output Pe.Further according to following calculating formula
Calculate separately out the power coefficient C of vertical-axis wind turbinep, mechanical output PmWith unit efficiency η.
Further, data monitoring processing module:
By tip speed ratio λ and power coefficient CpFormat storage (λ, C have been carried out as a pair of horizontal, longitudinal axis datap), i.e.,
It can get the draw data of aerodynamic characteristics of rotor curve, such as Fig. 5.
By various identical wind speed vwVertical-axis wind turbine revolving speed n and mechanical output P under sectionmAs a pair of horizontal, longitudinal axis number
(v is stored according to format has been carried outw,n,Pm), it can be obtained wind wheel machinery and go out characteristic draw data, such as Fig. 6.
By wind speed vwWith electrical power generators power PeFormat storage (v has been carried out as a pair of horizontal, longitudinal axis dataw,Pe), i.e.,
It can get the draw data of electrical power output characteristic curve, such as Fig. 7.
By wind speed vwFormat storage (v has been carried out as a pair of horizontal, longitudinal axis data with vertical-axis wind turbine revolving speed nw, n), i.e.,
It can get the draw data of speed regulation characteristic, such as Fig. 8.
By wind speed vwFormat storage (v has been carried out as a pair of horizontal, longitudinal axis data with unit efficiency ηw, η), it can be obtained machine
The draw data of group efficiency curve, such as Fig. 9.
The electromagnetism intensity and noise figure that data monitoring processing module received and stored electromagnetism and noise measurement module transmitting comes,
By receiving time t and electromagnetism intensity EmFormat storage (t, E have been carried out as a pair of horizontal, longitudinal axis datam), it is strong to can be obtained electromagnetism
It writes music the draw data of line, such as Figure 10；Format storage has been carried out using receiving time t and noise ANL as a pair of horizontal, longitudinal axis data
(t, ANL) can be obtained the draw data of noise curve, such as Figure 11.
It is whether authentic and valid in order to sentence the related data that measured data monitoring processing module receives, observer estimated value can be used
The method that is compared with measured value determines.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.
By calculated mechanical output observationWith mechanical output PmReal-time measurement values be compared, if the two is inclined
Difference then can determine that " measurement data is normal " less than 15%, otherwise determine " measurement data is abnormal ".
Above-mentioned data exception sentences method of determining and calculating can be realized by the microprocessor in data monitoring processing module, software programming.
Data monitoring processing module and host computer intelligent display device use WiFi home control network communication protocol both-way communication,
In, the WiFi wireless communication interface of data monitoring processing module is configured to pure access point mode (AP).Host computer intelligent display is set
It is standby can be PC machine, tablet 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 is drawn 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 showing that data exception sentences " measurement data is normal " that method of determining and calculating provides
Or the judgement of " measurement data is abnormal " and vertical axis dynamic mechanically inclination health degree for user and monitoring personnel as a result, see
Examine judgement.
Claims (4)
1. a kind of multimicroprocessor vertical axis wind power generation test device for having data exception real-time monitoring, it is characterized in that: packet
In-site measurement and processing equipment are included, in-site measurement and processing equipment and host computer intelligent display device communicate；The in-site measurement
It include air force measurement module, generated output measurement module, vertical axis polarization measurement module, electromagnetism and noise with processing equipment
Measurement module, above-mentioned each measurement module and data monitoring processing module communicate；The vertical axis polarization measurement module includes 3 double
Axis magnetoresistive sensor, the top, bottom end 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 interface；The data monitoring processing module include microprocessor,
Zigbee wireless communication interface and WiFi wireless communication interface；Above-mentioned each measurement module passes through respective Zigbee wireless communication interface
It is communicated with the Zigbee wireless communication interface of data monitoring processing module；The WiFi channel radio of the host computer intelligent display device
Communication interface and the WiFi wireless communication interface 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 method of determining and calculating packet
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；B is vertical-shaft wind hair
The coefficient of friction of electric chief axis system；
(3) vertical-axis wind turbine mechanical output P is obtainedmReal-time measurement values；
(4) by calculated mechanical output observationWith mechanical output PmReal-time measurement values be compared, if the two deviation
It less than 15%, then can determine that " measurement data is normal ", otherwise determine " measurement data is abnormal "；
Generated output measurement module further includes voltage sensor, current sensor and electric voltage frequency observation circuit, and generated output is surveyed
Measure voltage V, electric current I and electricity that the microprocessor of module comes the voltage sensor, current sensor and observation circuit pick-up
Voltage-frequency rate f signal is converted into digital information, is then passed to by the Zigbee wireless communication interface of generated output measurement module
Data monitoring processing module；
Vertical axis polarization measurement module further includes 3 twin shaft magnetoresistive sensors, and the microprocessor of vertical axis polarization measurement module will
The declination signal for the vertical axis horizontal direction twin shaft that each sensor detects is converted into digital information, then by Zigbee without
Line communication interface passes to data monitoring processing module.
2. the multimicroprocessor vertical axis wind power generation test dress according to claim 1 for having data exception real-time monitoring
Set, it is characterized in that: in the in-site measurement and processing equipment each measurement module and data monitoring processing module using Zigbee without
Line communications protocol both-way communication；The data monitoring processing module and host computer intelligent display device are assisted using WiFi wireless telecommunications
Discuss both-way communication.
3. the multimicroprocessor vertical axis wind power generation test dress according to claim 1 for having data exception real-time monitoring
It sets, it is characterized in that: the Zigbee wireless communication interface of the in-site measurement and measurement module each in processing equipment is configured to from setting
Standby mode, the Zigbee wireless communication interface of data monitoring processing module are configured to master coordinator mode；At the data monitoring
The WiFi wireless communication interface of reason module is configured to pure access point mode.
4. the multimicroprocessor vertical axis wind power generation test dress according to claim 1 for having data exception real-time monitoring
It sets, it is characterized in that: the air force measurement module further includes air velocity transducer, air-temperature sensor, baroceptor and photovoltaic
Battery plate group；The in-site measurement is powered with processing equipment using wind-light storage mode.
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| 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 |
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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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| 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 |
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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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| Publication number | Priority date | Publication date | Assignee | Title |
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Also Published As
| Publication number | Publication date |
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| CN107654340A (en) | 2018-02-02 |
| CN105298751B (en) | 2017-12-19 |
| CN107654340B (en) | 2019-02-12 |
| CN107448363A (en) | 2017-12-08 |
| CN105298751A (en) | 2016-02-03 |
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