CN105298751A - Vertical axis wind power generation testing device based on distributed detection and data judgment and measurement - Google Patents

Vertical axis wind power generation testing device based on distributed detection and data judgment and measurement Download PDF

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Publication number
CN105298751A
CN105298751A CN201510705694.3A CN201510705694A CN105298751A CN 105298751 A CN105298751 A CN 105298751A CN 201510705694 A CN201510705694 A CN 201510705694A CN 105298751 A CN105298751 A CN 105298751A
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data
measurement
module
wireless communication
axis wind
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CN105298751B (en
Inventor
吴爱华
茅靖峰
吴国庆
张旭东
吴树谦
张新松
邱爱兵
易龙芳
申海群
成义
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Jiangsu Fangshiyuanlue Technology Consulting Co Ltd
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Nantong University
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Priority to CN201510705694.3A priority patent/CN105298751B/en
Priority to CN201710769636.6A priority patent/CN107654340B/en
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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
    • 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
    • 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
    • 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
    • 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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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Wind Motors (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)

Abstract

The invention discloses a vertical axis wind power generation testing device based on distributed detection and data judgment and measurement. The device is mainly composed of a field measuring and processing device and an upper computer intelligent display device. The field measuring and processing device comprises an aerodynamic measurement module, a generated power measurement module, a vertical axis polarization measurement module, an electromagnetism and noise measurement module and a data monitoring and processing module. The interior of a microprocessor of the data monitoring and processing module has a data exception judgment and measurement algorithm so that whether measured data are abnormal or not can be judged. Zigbee wireless communication is adopted in the field measuring and processing device, and power is supplied in a wind-solar storage manner. The field measuring and processing device and the upper computer intelligent display device conduct WiFi wireless communication with each other. The vertical axis wind power generation testing device based on distributed detection and data judgment and measurement has the characteristics of being convenient to mount, reliable in testing, modular in function, flexible in networking, friendly in interface, easy to maintain and the like through the technologies such as multi-sensor detection, wireless network communication and multi-microprocessor operation.

Description

The vertical axis wind power generation testing apparatus of survey is sentenced based on Distributed Detection and data
Technical field
The present invention relates to wind-power generating system integrated monitor field, is a kind of vertical axis wind power generation testing apparatus sentencing survey based on Distributed Detection and data.
Background technique
" equipment will develop, and test must be leading ".Middle-size and small-size wind power plant is from design, trial-production until produce and all be unable to do without verification and testing maintenance process.And due to the natural particularity of Wind Power Utilization, no matter equipment be the wind tunnel test at the research and development initial stage, or the on-the-spot operational monitoring of model machine or product, based on the data acquisition all very inconvenience of manual type and wire transmission mode.
The labor intensity of the abnormal very complicated of the wind-power generating system distributed multi-sensor connection procedure based on wire transmission mode, tester is large.At wind-tunnel narrow space build-in test, also can because of the difference of conductor wiring mode cause local wind field distortion, affect testing precision, even because wire dropping causes the winding of running shaft, cause serious accident.Run on-the-spot at wind-power electricity generation, due to Site for Unit install geography and weather conditions more severe, as physical features eminence, roof etc. in suburb or urban district, hand data collections a large amount of is for a long time very inconvenient, and long wire also can cause serious signal degradation and interference.
Therefore, according to the practical application request of blower fan power generating equipment, apply the intelligent test system platform based on the running state parameter of wireless telecommunications distributed sensor networks, significant to the whole life cycle of wind-power electricity generation product, and there is good application, practical prospect.
Summary of the invention
The object of the present invention is to provide a kind of rational in infrastructure, easy for installation, test is reliable, the vertical axis wind power generation monitoring device based on multiple networks fusion and distributed sensing of easy care.
Technical solution of the present invention is:
Based on a vertical axis wind power generation monitoring device for multiple networks fusion and distributed sensing, it is characterized in that: comprise in-site measurement and processing equipment, in-site measurement and processing equipment and the communication of upper-position unit intelligent display device; Described in-site measurement and processing equipment comprise aerodynamic force measurement module, generated output measurement module, vertical shaft polarization measurement module, electromagnetism and noise measurement module, above-mentioned each measurement module and the communication of data monitoring puocessing module; Described vertical shaft polarization measurement module comprises 3 twin shaft magnetoresistive transducers, is installed on the top of vertical-axis wind turbine main shaft, bottom and wind power generator rotor respectively and goes out axle head; Described each measurement module comprises microprocessor and Zigbee wireless communication interface; Described data monitoring puocessing module comprises microprocessor, Zigbee wireless communication interface and WiFi wireless communication interface; Above-mentioned each measurement module is by the Zigbee wireless communication interface communication of respective Zigbee wireless communication interface and data monitoring puocessing module; The WiFi wireless communication interface of described upper-position unit intelligent display device and the WiFi wireless communication interface communication of data monitoring puocessing module;
The microprocessor of described data monitoring puocessing module adopts data exception to sentence method of determining and calculating; Described data exception is sentenced method of determining and calculating and is comprised the steps:
(1) electrical power generators power P is obtained ewith the real-time measurement values of angular velocity omega;
(2) the mechanical output Observed value of vertical-axis wind turbine is calculated as follows out
z · 1 = - Lz 1 - L ( L ω - B ω / J - P e / ( j ω ) ) z 2 = z 1 + L ω P ^ m = Jωz 2
In formula, J is the rotary inertia of vertical-axis wind turbine; z 1, z 2for state variable; L is positive constant coefficient.
(3) vertical-axis wind turbine mechanical output P is obtained mreal-time measurement values;
(4) the mechanical output Observed value will calculated with mechanical output P mreal-time measurement values compare, if the two deviation is less than 15%, then can judge " survey data is normal ", otherwise judge " survey data abnormal ".
In described in-site measurement and processing equipment, each measurement module and data monitoring puocessing module adopt Zigbee home control network communication protocol both-way communication; Described data monitoring puocessing module and upper-position unit intelligent display device adopt WiFi home control network communication protocol both-way communication.
In described in-site measurement and processing equipment, the Zigbee wireless communication interface of each measurement module is configured to from equipment mode, and the Zigbee wireless communication interface of data monitoring puocessing module is configured to master coordinator pattern; The WiFi wireless communication interface of described data monitoring puocessing module is configured to pure access point mode.
State aerodynamic force measurement module and also comprise air velocity transducer, air-temperature sensor, baroceptor and photovoltaic electroplax group; Described in-site measurement and processing equipment adopt wind-light storage mode to power.
Data monitoring puocessing module is according to the data of twin shaft magnetoresistive transducer, calculate vertical-axis wind turbine in real time and go out axle head at its main shaft top, bottom and wind power generator rotor, deflection mean square deviation on 3 horizontal section biaxially orienteds, kurtosis, deflection angle value, and compare according to pre-set threshold value, form the differentiation of vertical shaft dynamic mechanically inclination health degree.
The present invention is rational in infrastructure, easy for installation, test is reliable, easy care; It is also advantageous in that:
(1) adopt distributed multimicroprocessor technology, make each functional part physical dispersion of system, the degree of modularity of software and hardware and reliability improve, and are beneficial to maintenance upgrade and maintenance.
(2) measured signal is field digitized, improves precision, avoids the decay of conventional analog signal long range propagation and the problem such as to be easily disturbed.
(3) adopt many Wi-Fis mechanics of communication, avoid the high cost of wire transmission, high power consumption, line loaded down with trivial details, the problems such as inconvenience and mechanical strength reliability are installed.
(4) method adopting visualizer estimated value and measured value to compare, whether carrying out decision data, to monitor the related data that puocessing module receives authentic and valid, makes the Monitoring Data of test system more reliable.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described.
Fig. 1 is the overall construction drawing of one embodiment of the invention.
Fig. 2 is aerodynamic force measurement module composition structural drawing.
Fig. 3 is the mounting point distribution map of twin shaft magnetoresistive transducer.
Fig. 4 is vertical shaft polarization curve (t, σ i, Kur i, Sc i) exemplary plot.
Fig. 5 is aerodynamic characteristics of rotor curve (λ, C p) exemplary plot.
Fig. 6 is that wind wheel machinery goes out characteristic curve (v w, n, P m) exemplary plot.
Fig. 7 is electric power output characteristic curve (v w, P e) exemplary plot.
Fig. 8 is speed regulation characteristic (v w, n) exemplary plot.
Fig. 9 is unit efficiency curve (v w, η) and exemplary plot.
Figure 10 is electromagnetism intensity curve (t, E m) exemplary plot.
Figure 11 is noise curve (t, ANL) exemplary plot.
Embodiment
Based on a vertical axis wind power generation monitoring device for multiple networks fusion and distributed sensing, comprise in-site measurement and processing equipment, in-site measurement and processing equipment and the communication of upper-position unit intelligent display device; Described in-site measurement and processing equipment comprise aerodynamic force measurement module, generated output measurement module, vertical shaft polarization measurement module, electromagnetism and noise measurement module, above-mentioned each measurement module and the communication of data monitoring puocessing module; Described vertical shaft polarization measurement module comprises 3 twin shaft magnetoresistive transducers, is installed on the top of vertical-axis wind turbine main shaft, bottom and wind power generator rotor respectively and goes out axle head; Described each measurement module comprises microprocessor and Zigbee wireless communication interface; Described data monitoring puocessing module comprises microprocessor, Zigbee wireless communication interface and WiFi wireless communication interface; Above-mentioned each measurement module is by the Zigbee wireless communication interface communication of respective Zigbee wireless communication interface and data monitoring puocessing module; The WiFi wireless communication interface of described upper-position unit intelligent display device and the WiFi wireless communication interface communication of data monitoring puocessing module.
In-site measurement and processing equipment adopt wind-light storage mode to power.To reduce on the one hand the long range propagation of vertical axis wind power generation system in-site measurement and the externally fed circuit of processing equipment, another aspect can increase the reliability that in-site measurement and processing equipment are powered.
Further, see Fig. 2, aerodynamic force measurement module also comprises air velocity transducer, air-temperature sensor, baroceptor and photovoltaic electroplax group, and the sensor is become the wind speed v sent here by its microprocessor w, temperature T and air pressure P signal convert numerical information to, then passes to data monitoring puocessing module by its Zigbee wireless communication interface.Photovoltaic electroplax group is that aerodynamic force measurement module is powered, to reduce the long range propagation of externally fed circuit.
Generated output measurement module also comprises voltage transducer, current sensor and electric voltage frequency observation circuit, the sensor and observation circuit are become voltage V, electric current I and the electric voltage frequency f signal sent here and convert numerical information to by its microprocessor, then pass to data monitoring puocessing module by its Zigbee wireless communication interface.
Vertical shaft polarization measurement module also comprises 3 twin shaft magnetoresistive transducers, the declination signal of the vertical shaft substantially horizontal twin shaft that each sensor detects by its microprocessor converts numerical information to, then passes to data monitoring puocessing module by Zigbee wireless communication interface.See Fig. 3, it is the mounting point distribution map of 3 twin shaft magnetoresistive transducers.In Fig. 3,101 is vertical-axis wind turbine, and 102 is the vertical shaft main shaft of vertical-axis wind turbine, coaxially installs wind-driven generator 103 in its underpart, 104,105 and 106 is 3 twin shaft magnetoresistive transducers, and they are installed on the top of vertical-axis wind turbine, bottom and wind power generator rotor respectively and go out axle head.
Electromagnetism and noise measurement module also comprise electromagnetism intensity sensor and noise transducer, the sensor is become the electromagnetism intensity sent here by its microprocessor and noise signal converts numerical information to, then passes to data monitoring puocessing module by its Zigbee wireless communication interface.
In in-site measurement and processing equipment, each measurement module and data monitoring puocessing module adopt Zigbee home control network communication protocol both-way communication, wherein, the Zigbee wireless communication interface of each measurement module is configured to from equipment mode, and the Zigbee wireless communication interface of data monitoring puocessing module is configured to master coordinator pattern.
Data monitoring puocessing module receives and stores the data of twin shaft magnetoresistive transducer.Calculate vertical-axis wind turbine in real time by its microprocessor again and go out axle head at its main shaft top, bottom and wind power generator rotor, deflection meansquaredeviationσ respective on 3 horizontal section biaxially orienteds i, kurtosis Kur i, squareness S civalue, wherein i=1,2,3, represent the numbering of 3 twin shaft magnetoresistive transducers.
There is N number of sampling number according to (x in one group of service data set ik, k=1 ..., N) and be example, its deflection meansquaredeviationσ i, kurtosis Kur i, squareness S cicalculating formula as follows:
σ i = 1 N Σ k = 1 N x i k 2 , Kur i = 1 N Σ k = 1 N ( x i k σ i ) 4 , S C i = 1 N Σ k = 1 N x i k 2
Data monitoring puocessing module compares with the pre-set threshold value of its storage inside according to above formula result of calculation, forms the differentiation of vertical shaft dynamic mechanically inclination health degree, as the instruction such as " normal operation ", " drift angle is less " and " drift angle is larger ".
Meanwhile, data monitoring puocessing module is by 3 groups of meansquaredeviationσs of current time t and vertical-axis wind turbine i, kurtosis Kur i, squareness S cicarry out having form to store (t, σ respectively as a pair horizontal stroke, longitudinal axis data i, Kur i, Sc i), the draw data of vertical shaft main shaft polarization curve can be obtained, as Fig. 4.
Data monitoring puocessing module receives and stores the next wind speed v of aerodynamic force measurement module transmission w, temperature T, air pressure signal P, and the transmission of generated output measurement module come voltage V, electric current I and electric voltage frequency f signal.Its microprocessor, according to the temperature-air pressure-air density function with its storage inside, calculates air density ρ.Again by the basic electromechanical parameters of the wind-driven generator of its storage inside, comprise generated output COEFFICIENT K e, power generator electrode logarithm n p, vertical axis rotor radius R, wind wheel sweep wind sectional area A etc., by calculating formula
n = 60 f n p , ω = 2 π f n p , λ = ω R v 2 , C m = 2 J ω · πρ 3 v w 2 , P e＝K eUI
Calculate vertical-axis wind turbine rotating speed n, angular velocity omega, tip speed ratio λ, relative moment coefficient C respectively mwith electrical power generators power P e.Again according to following calculating formula
C p＝C mλ、P m＝0.5ρAv w 3C mλ、
Calculate the power coefficient C of vertical-axis wind turbine respectively p, mechanical output P mwith unit efficiency η.
Further, data monitoring puocessing module:
By tip speed ratio λ and power coefficient C pcarry out having form to store (λ, C as a pair horizontal stroke, longitudinal axis data p), the draw data of aerodynamic characteristics of rotor curve can be obtained, as Fig. 5.
By various identical wind speed v wvertical-axis wind turbine rotating speed n under interval and mechanical output P mcarry out having form to store (v as a pair horizontal stroke, longitudinal axis data w, n, P m), wind wheel machinery can be obtained and go out characteristic draw data, as Fig. 6.
By wind speed v wwith electrical power generators power P ecarry out having form to store (v as a pair horizontal stroke, longitudinal axis data w, P e), the draw data of electric power output characteristic curve can be obtained, as Fig. 7.
By wind speed v wcarry out having form to store (v with vertical-axis wind turbine rotating speed n as a pair horizontal stroke, longitudinal axis data w, n), the draw data of speed regulation characteristic can be obtained, as Fig. 8.
By wind speed v wcarry out having form to store (v with unit efficiency η as a pair horizontal stroke, longitudinal axis data w, η), the draw data of unit efficiency curve can be obtained, as Fig. 9.
Data monitoring puocessing module receives and stores electromagnetism intensity and the noise figure of electromagnetism and noise measurement module transmission, by time of reception t and electromagnetism intensity E mcarry out having form to store (t, E as a pair horizontal stroke, longitudinal axis data m), the draw data of electromagnetism intensity curve can be obtained, as Figure 10; Time of reception t and noise ANL is carried out having form to store (t, ANL) as a pair horizontal stroke, longitudinal axis data, the draw data of noise curve can be obtained, as Figure 11.
Whether in order to sentence, to survey the related data that data monitoring puocessing module receives authentic and valid, and the method that visualizer estimated value and measured value can be adopted to compare judges.Its principle comprises:
The mechanical-electric coupling kinematical equation of vertical axis wind power generation system can be expressed as
ω · = 1 J ω ( P m - P e - Bω 2 )
In formula, J is the rotary inertia of vertical-axis wind turbine, and B is the friction factor of vertical axis wind power generation axis system.
Above formula shows, electrical power generators power P e, angular velocity omega and vertical-axis wind turbine mechanical output P mbe associated.Therefore, if hypothesis vertical-axis wind turbine mechanical output P mfor unknown quantity, then by known electrical power generators power P eand angular velocity omega, utilize following formula to calculate the mechanical output Observed value of vertical-axis wind turbine
z · 1 = - L z 1 - L ( L ω - B ω / J - P e / ( j ω ) ) z 2 = z 1 + L ω P ^ m = J ω z 2
In formula, J is the rotary inertia of vertical-axis wind turbine; z 1, z 2for state variable; L is positive constant coefficient.
By the mechanical output Observed value calculated with mechanical output P mreal-time measurement values compare, if the two deviation is less than 15%, then can judge " survey data is normal ", otherwise judge " survey data abnormal ".
Above-mentioned data exception sentences method of determining and calculating can by the microprocessor in data monitoring puocessing module, and software programming realizes.
Data monitoring puocessing module and upper-position unit intelligent display device adopt WiFi home control network communication protocol both-way communication, and wherein, the WiFi wireless communication interface of data monitoring puocessing module is configured to pure access point mode (AP).Upper-position unit intelligent display device can be that the intelligence such as PC, panel computer or mobile phone can portable equipment, they are as the website (STA) of WiFi wireless telecommunications, puocessing module can be monitored by access data, carry out exchanges data and access, to increase the intellectuality of this monitoring device, portability and close friendization larger.
Upper-position unit intelligent display device internal operation corresponding program, by receiving all kinds of draw datas from data monitoring puocessing module, comprises aerodynamic characteristics of rotor curve data (λ, C p), wind wheel machinery goes out characteristic curve data (v w, n, P m), electric power output characteristic curve data (v w, P e), speed regulation characteristic data (v w, n), unit efficiency curve data (v w, η), electromagnetism intensity curve data (t, E m), noise curve data (t, ANL), vertical shaft polarization curve data (t, σ i, Kur i, Sc i), utilize trace-point method to be figure, show on the display device.Meanwhile, demonstrate data exception and sentence " survey data is normal " or " survey data is abnormal " that method of determining and calculating provides, and the result of determination of vertical shaft dynamic mechanically inclination health degree, judge for user and monitoring personal observations.

Claims (5)

1. sentence a vertical axis wind power generation testing apparatus for survey based on Distributed Detection and data, it is characterized in that: comprise in-site measurement and processing equipment, in-site measurement and processing equipment and the communication of upper-position unit intelligent display device; Described in-site measurement and processing equipment comprise aerodynamic force measurement module, generated output measurement module, vertical shaft polarization measurement module, electromagnetism and noise measurement module, above-mentioned each measurement module and the communication of data monitoring puocessing module; Described vertical shaft polarization measurement module comprises 3 twin shaft magnetoresistive transducers, is installed on the top of vertical-axis wind turbine main shaft, bottom and wind power generator rotor respectively and goes out axle head; Described each measurement module comprises microprocessor and Zigbee wireless communication interface; Described data monitoring puocessing module comprises microprocessor, Zigbee wireless communication interface and WiFi wireless communication interface; Above-mentioned each measurement module is by the Zigbee wireless communication interface communication of respective Zigbee wireless communication interface and data monitoring puocessing module; The WiFi wireless communication interface of described upper-position unit intelligent display device and the WiFi wireless communication interface communication of data monitoring puocessing module;
The microprocessor of described data monitoring puocessing module adopts data exception to sentence method of determining and calculating; Described data exception is sentenced method of determining and calculating and is comprised the steps:
(1) electrical power generators power P is obtained ewith the real-time measurement values of angular velocity omega;
(2) the mechanical output Observed value of vertical-axis wind turbine is calculated as follows out
z · 1 = - Lz 1 - L ( L ω - B ω / J - P e / ( J ω ) ) z 2 = z 1 + L ω P ^ m = Jωz 2
In formula, J is the rotary inertia of vertical-axis wind turbine; z 1, z 2for state variable; L is positive constant coefficient.
(3) vertical-axis wind turbine mechanical output P is obtained mreal-time measurement values;
(4) the mechanical output Observed value will calculated with mechanical output P mreal-time measurement values compare, if the two deviation is less than 15%, then can judge " survey data is normal ", otherwise judge " survey data abnormal ".
2. the vertical axis wind power generation testing apparatus sentencing survey based on Distributed Detection and data according to claim 1, is characterized in that: in described in-site measurement and processing equipment, each measurement module and data monitoring puocessing module adopt Zigbee home control network communication protocol both-way communication; Described data monitoring puocessing module and upper-position unit intelligent display device adopt WiFi home control network communication protocol both-way communication.
3. the vertical axis wind power generation testing apparatus sentencing survey based on Distributed Detection and data according to claim 1, it is characterized in that: in described in-site measurement and processing equipment, the Zigbee wireless communication interface of each measurement module is configured to from equipment mode, and the Zigbee wireless communication interface of data monitoring puocessing module is configured to master coordinator pattern; The WiFi wireless communication interface of described data monitoring puocessing module is configured to pure access point mode.
4. the vertical axis wind power generation testing apparatus sentencing survey based on Distributed Detection and data according to claim 1, is characterized in that: described aerodynamic force measurement module also comprises air velocity transducer, air-temperature sensor, baroceptor and photovoltaic electroplax group; Described in-site measurement and processing equipment adopt wind-light storage mode to power.
5. the vertical axis wind power generation testing apparatus sentencing survey based on Distributed Detection and data according to claim 1, it is characterized in that: data monitoring puocessing module is according to the data of twin shaft magnetoresistive transducer, calculate vertical-axis wind turbine in real time and go out axle head at its main shaft top, bottom and wind power generator rotor, deflection mean square deviation on 3 horizontal section biaxially orienteds, kurtosis, deflection angle value, and compare according to pre-set threshold value, form the differentiation of vertical shaft dynamic mechanically inclination health degree.
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CN111859679A (en) * 2020-07-24 2020-10-30 国电联合动力技术有限公司 Wind turbine generator test load obtaining method, simulation load comparing method and simulation load comparing device

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