CN109596175A - A kind of inclination of wind-power tower and shake on-line monitoring system - Google Patents

A kind of inclination of wind-power tower and shake on-line monitoring system Download PDF

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Publication number
CN109596175A
CN109596175A CN201811619569.0A CN201811619569A CN109596175A CN 109596175 A CN109596175 A CN 109596175A CN 201811619569 A CN201811619569 A CN 201811619569A CN 109596175 A CN109596175 A CN 109596175A
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tower
shaking
real
wind
value
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CN109596175B (en
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马少立
李桂民
郑飞鸿
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Shenzhen Qianhai Hui Tong Science And Technology Development Co Ltd
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Shenzhen Qianhai Hui Tong Science And Technology Development Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

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Abstract

The present invention relates to a kind of inclination of wind-power tower and shake on-line monitoring system, including processor, display, collector, positioned at an obliquity sensor of column foot, positioned at least one obliquity sensor of tower, positioned at an obliquity sensor in tower cabin and positioned at least one acceleration transducer in tower cabin, obliquity sensor connects collector by cable with acceleration transducer, collector is used to acquire the angle-data of all obliquity sensors and the acceleration information of all acceleration transducers, and is sent to processor;Processor is used to calculate real-time characteristic value according to angle-data and acceleration information, and real-time characteristic value is stored in memory, when real-time characteristic value is more than or equal to its corresponding thresholding, alarms, and realize warning function using weighted average model.

Description

A kind of inclination of wind-power tower and shake on-line monitoring system
Technical field
The present invention relates to wind-power tower on-line monitoring field more particularly to a kind of inclination of wind-power tower and shake on-line monitoring System.
Background technique
Wind-force tower is one of important stressed member of wind power generation plant.The normal operating conditions of wind-power tower is wind-force The basic guarantee of generating set normal power generation.The problems such as inclination of wind-power tower, vibration, be such as more than to a certain degree, often The major accidents such as collapse, fracture for causing tower, bring disaster to personnel safety, cause great financial losses.
And at present for tower status monitoring certain methods and system be unsatisfactory for tower monitoring demand, these systems and The disadvantages such as method is often time-consuming and laborious, monitoring accuracy is low.Therefore need a kind of novel system and method, to the state of tower into Row real-time monitoring reduces the generation of tower safety accident.
Summary of the invention
It is an object of the present invention in place of solving the above deficiencies in the existing technologies.
To achieve the above object, the present invention provides a kind of inclination of wind-power tower and shakes on-line monitoring system, including data Acquisition unit and data processing unit;Data acquisition unit include collector, positioned at column foot an obliquity sensor, be located at tower At least one obliquity sensor of cylinder, positioned at an obliquity sensor in tower cabin and positioned at least one acceleration sensing in tower cabin Device, wherein collector is located at any position in tower, and obliquity sensor connects collector by cable with acceleration transducer;Number Processor and memory are included at least according to processing unit;Collector is used to acquire the angle-data of all obliquity sensors and owns The acceleration information of acceleration transducer, and it is sent to processor;Processor is based on according to angle-data and acceleration information Real-time characteristic value is calculated, and real-time characteristic value is stored in memory, real-time characteristic value includes real-time column foot inclination factor and tower Cylinder shaking value;Processor extracts historical data from memory, and is calculated according to real-time history data in different wind speed intervals The average value of the tower shaking value of interior tower, 1.5-3 times of average value is used as the alarm threshold of tower shaking value, and be stored in In memory, historical data includes at least tower shaking value in a period of time and within the period corresponding to tower shaking value Wind speed;When either condition is set up in first condition or second condition, processor is alarmed, wherein first condition is tower Cylinder shaking value is more than or equal to the alarm threshold of tower shaking value, and second condition is that real-time column foot inclination factor is greater than or waits In the alarm threshold that real-time column foot inclination factor in memory is stored in advance.
Preferably, processor is also used to by taking out column foot sedimentation coefficient from memory, using weighted average model, really The relationship of model coefficient, column foot sedimentation coefficient and time is determined, according to weighted average model, when the moment a certain in predicted time When column foot sedimentation coefficient is more than or equal to the alarm threshold at the moment, processor sounds an alarm automatically.
Preferably, wind-power tower inclination and shaking on-line monitoring system further include display, and the display is for showing reality When characteristic value.
It is further preferred that display is also used to show history feature value, and provide the inquiry of historical data function.
Preferably, when the output signal of obliquity sensor or acceleration transducer is analog signal, acquisition unit is also wrapped Analog-digital converter is included, analog-digital converter converts analog signals into digital signal.
Preferably, collector has the function of that multichannel RS-485 or RS-232 interface turn network interface.
Preferably, the output interface of obliquity sensor is RS-485 or RS-232, and precision is higher than 0.02 °.
Preferably, the low-limit frequency of the frequency measurement range of acceleration transducer is 0.1Hz.
Preferably, the model ZQWL-EthRS-H4 of collector.
Preferably, model BWM826, BWH520 of obliquity sensor or AI S2000.
Preferably, the model WT135-1D or CAYD149V-500G of acceleration transducer.
Beneficial effects of the present invention: have the real time data of sensor is acquired, data are handled, data store Function and data-transformation facility;Column foot inclination factor and the tower shaking position of tower can be calculated by collecting the data of sensor It moves;System extracts characteristic value alarm threshold to the carry out big data analysis of collected wind tower, has real time alarm function, and And it is realized by alarm prediction model and shifts to an earlier date warning function.
Detailed description of the invention
Fig. 1 is the schematic diagram of the specific implementation installation diagram of sensor in a kind of wind-power tower provided in an embodiment of the present invention;
Fig. 2 is a kind of wind-power tower inclination provided in an embodiment of the present invention and the sensor installation for shaking on-line monitoring system Top view;
Fig. 3 is that a kind of wind-power tower inclination and the tower simplification of shaking on-line monitoring system provided in an embodiment of the present invention are shown It is intended to;
Fig. 4 is a kind of wind-power tower inclination provided in an embodiment of the present invention and shakes on-line monitoring system frame diagram.
Specific embodiment
With reference to the accompanying drawings and examples, technical scheme of the present invention will be described in further detail.
Picture 1-4, the embodiment of the present invention provides a kind of inclination of wind-power tower and shakes on-line monitoring system, including data are adopted Collect unit and data processing unit.
Inputting acquisition unit includes collector 30, obliquity sensor group 10 and acceleration transducer group 20, specifically includes 1 Collector, positioned at 1 obliquity sensor of column foot, at least one obliquity sensor positioned at tower, 1 inclination angle positioned at tower cabin Spend sensor and at least one acceleration transducer positioned at tower cabin.Wherein, collector can be located at any position in tower.
Obliquity sensor and acceleration transducer are connected on collector by cable, on the one hand, obliquity sensor and plus The data of velocity sensor acquisition need to be sent to processor 40 by collector and are calculated, and on the other hand, collector 30 is right It is controlled in the time error of each sensor acquisition data, guarantees time error in a reasonable range.
Either obliquity sensor or acceleration transducer, due to the difference of model, the output quantity after acquiring data has It may be digital signal, it is possible to it can be analog signal, when collector can be transmitted directly to if it is digital signal, but It is to need to increase an analog-digital converter if output is analog signal for the analog signal that sensor exports and be converted into digital letter Number, then issue collector.
In one example, collector can select the ZQWL-EthRS-H4 of Zhi Qian Internet of Things company.
In one example, obliquity sensor can select the BWM826 of northern micro sensing science and technology.
In one example, obliquity sensor can select the BWH520 of northern micro sensing science and technology.
In one example, obliquity sensor can select the AIS2000 of Wuxi Hui Lian Information technology Co., Ltd.
In one example, acceleration transducer can select the WT135-1D of CTC company.
In one example, acceleration transducer can select the CAYD149V-500G of Niell company.
In one example, collector has the function of that multichannel RS-485 or RS-232 interface turn network interface.
In one example, the output interface of obliquity sensor is RS-485 or RS-232, and precision is higher than 0.02 °.
In one example, the low-limit frequency of the frequency measurement range of acceleration transducer is 0.1Hz.
The model of obliquity sensor in the embodiment of the present invention, is mainly determined by the precision monitored, these obliquity sensors For monitoring the displacement on tower top caused by the inclination of tower and the deformation of tower itself and for being caused by external force Shaking, according to design requirement, the quantity and model of obliquity sensor be can change.The quantity of obliquity sensor is more, The result of measurement is more accurate.
The model of acceleration transducer is determined that these acceleration transducers are for monitoring tower by the measurement accuracy of tower Current slosh cycle, according to design requirement, the quantity and model of acceleration transducer be can change.
In one example, sensor is double-shaft tilt angle sensor, and biaxially oriented is X-direction and Y-direction, this both direction In one plane, and it is mutually perpendicular to.
The installation site of above-mentioned sensor is as shown in Fig. 2, be installed in the vertical plane of tower, and its x direction sensing Any position of device center line or the center sensor line in the direction y alignment tower axis center.
Data processing unit includes at least processor 40 and memory 50.
Working principle is described below
Real-time column foot inclination factor is only related to the obliquity sensor positioned at column foot.
Real-time column foot inclination factor is calculated by following formula:
Wherein, αxAnd αyRespectively it is located at column foot updip angle transducer in the angle with horizontal plane in the direction x and the direction y.It should Inclination factor is stored in database profession as a characteristic value.
It should be appreciated that any and positively related function of γ, all can serve as to replace that γ is gone to calculate, will not influence and most terminate Fruit.
Real-time displacement is all related to all obliquity sensors, it is assumed that one shares N number of obliquity sensor, from top to bottom successively For the 1st obliquity sensor, the 2nd obliquity sensor ..., n-th obliquity sensor, the water of n-th of obliquity sensor is installed The central axes of plane and tower intersect at p point, and the central axes of tower are θ in the angle of p point and vertical directionn, wherein n=1, 2 ..., N.
Tower shakes the geometry simplification model that bends as shown in figure 3, the model can simplify as open circles overarm arm, Displacement according to the mechanics of materials, the horizontal direction centered on sensor Sn is that the displacement of n-th of obliquity sensor is
Wherein, n=1
Wherein, n=2,3 ..., N-1
Wherein, n=N
Wherein, Hn-1For the difference in height between (n-1) a obliquity sensor and n-th of obliquity sensor.
LnIts horizontal displacement in the direction x are as follows:
Lnx=Lncos(θn)tan(anx)
LnHorizontal displacement in the direction y are as follows:
Lny=Lncos(θn)tan(any)
Wherein, anxIt is n-th of obliquity sensor in the inclination angle of x-axis direction and horizontal plane, anyFor n-th of obliquity sensor At the inclination angle in y-axis direction and horizontal plane
Finally, the real-time displacement in tower cabin are as follows:
Wherein n=1,2,3 ..., N-1, N.
Hn-1It is all to be input in memory in advance, θnBoth it can measure, a can also be passed throughnxAnd anyIt is calculated, θn With anx、anyRelationship it is as follows
This formula is suitable for each obliquity sensor.
Illustratively, in Fig. 1, column foot has 1 obliquity sensor 101, and tower has 2 obliquity sensors, respectively inclination angle There is 1 obliquity sensor 104 and 1 acceleration transducer 105 in sensor 102 and obliquity sensor 103, tower cabin, and according to It is the direction x that Fig. 2, which defines due east direction in the horizontal plane, and direct north is the direction y.Due to real-time column foot inclination factor and position It is related in the obliquity sensor of column foot, so in Fig. 1, real-time column foot inclination factor are as follows:
Wherein, α1xAnd α1yRespectively it is located at obliquity sensor 101 on column foot in the direction x and the direction y and horizontal plane Angle.
The displacement of sensor 101 are as follows:
The displacement of sensor 102 are as follows:
The displacement of sensor 103 are as follows:
The displacement of sensor 104 are as follows:
The real-time displacement in tower cabin is
It should be appreciated that according to design requirement, the number of above-mentioned obliquity sensor and the number of acceleration transducer are all can With change.
The acceleration of acceleration transducer is handled, the cycle T that current tower is shaken is calculated,
Wherein, gnFor the output valve of acceleration transducer, FFT is Fast Fourier Transform (FFT).
The maximum value L of L in cycle TmaxFor tower shaking value.
Tower shaking value LmaxIt is stored in database profession as a characteristic value.
The course of work:
Collector 30 receives the angle-data of all obliquity sensor groups 10 and the acceleration of all acceleration transducer groups 20 Degree evidence, and it is sent to processor 40, angle-data here includes at least anxAnd any, acceleration information here includes surveying The acceleration obtained.
According to above-mentioned formula, according to angle-data and acceleration information, processor 40 calculates real-time characteristic value, And real-time characteristic value is stored in memory 50, real-time characteristic value includes real-time column foot inclination factor and tower shaking value.
The alarm threshold of the calculating tower shaking value of processor 40.Processor 40 extracts tower from the database in memory The historical data of shaking value, and according to the historical data of the historical data of the tower shaking value in a period of time and wind speed, it calculates The average value of the tower shaking value of tower, then shakes using 1.5-3 times of this average value as tower in different wind speed intervals The alarm threshold of dynamic value.And the alarm threshold of column foot inclination factor is to be input in memory 50 in advance in real time.
Processor 40 compares alarm threshold and real-time characteristic value, when real-time characteristic value is more than or equal to alarm threshold, Issue alarm signal.Here real-time characteristic value includes real-time column foot inclination factor and tower shaking value, the two real-time characteristics Value, which has any one to be more than or equal to alarm threshold, can all alarm.
In one example, above-mentioned processor 40 is also equipped with prediction and alarm function: processor 40 is extracted from memory 50 The historical data of column foot sedimentation coefficient and the wind speed in this period determines model coefficient, mould using weighted average model Type is as follows:
VT ' A=R
Wherein:
V=[v1,v2,...,vn], it is the wind speed in this period;
T=[t1,t2,...,tn], it is the time interval in this period;
T ' is the transposition of T;
A=[a1,a2,...,an], it is model coefficient;
R=[γ12,...,γn], it is the column foot sedimentation coefficient in this period, γ1、γ2、...、γnWhen being different The column foot inclination factor at quarter;
The coefficient of the model is calculated, according to this model, when the column foot sedimentation coefficient at moment a certain in predicted time When more than or equal to alarm threshold, processor 40 sounds an alarm automatically, and staff is notified to adopt remedial measures in time, thus Realize prediction and alarm purpose, alarm threshold and front here is input to the report of the real-time column foot inclination factor in memory in advance Alert thresholding is the same value.
In one example, the alarm threshold of real-time column foot inclination factor is 0.01-0.05.
In one example, above-mentioned wind-power tower inclination and shaking on-line monitoring system further include display 60, will be real-time Characteristic value is shown by accumulation scatter plot, real-time compass graph, can intuitively observe the tilt condition of current tower, from And good judgement is made, achieve the purpose that real-time monitoring tower state.
In one example, aforementioned display device 60 can also show the historical trend of characteristic value, characteristic value data in difference The comparison of period is shown, and provides the inquiry of historical data function.
Above specific embodiment has carried out further in detail the purpose of the present invention, technical scheme and beneficial effects Illustrate, it should be understood that the above is only a specific embodiment of the invention, the protection model that is not intended to limit the present invention It encloses, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should be included in the present invention Protection scope within.

Claims (8)

1. a kind of wind-power tower inclination and shaking on-line monitoring system, which is characterized in that at data acquisition unit and data Manage unit;
The data acquisition unit includes that collector, an obliquity sensor positioned at column foot, at least one positioned at tower are inclined Angle transducer, positioned at an obliquity sensor in tower cabin and positioned at least one acceleration transducer in tower cabin, wherein described to adopt Storage is located at any position in tower, and the obliquity sensor connects the collector by cable with the acceleration transducer;
The data processing unit includes at least processor and memory;
The collector is used to acquire the angle-data of all obliquity sensors and the acceleration information of all acceleration transducers, And it is sent to the processor;
The processor is used to calculate real-time characteristic value according to the angle-data and the acceleration information, and will be special in real time Value indicative is stored in the memory, and the real-time characteristic value includes real-time column foot inclination factor and tower shaking value;
The processor extracts historical data from memory, and is calculated in different wind speed intervals according to real-time history data 1.5-3 times of the average value is used as the alarm threshold of the tower shaking value by the average value of the tower shaking value of tower, and In the memory, the historical data is including at least the tower shaking value in a period of time and during the period of time for storage Wind speed corresponding to the tower shaking value;
When either condition is set up in first condition or second condition, processor is alarmed, wherein the first condition is Tower shaking value is more than or equal to the alarm threshold of the tower shaking value, and second condition is the real-time column foot inclination factor More than or equal to the alarm threshold that real-time column foot inclination factor in the memory is stored in advance.
2. wind-power tower inclination according to claim 1 and shaking on-line monitoring system, which is characterized in that the processor It is also used to determine model coefficient, column foot sedimentation system using weighted average model by taking out column foot sedimentation coefficient from memory Several relationships with the time, according to the weighted average model, when the column foot sedimentation coefficient at moment a certain in predicted time is greater than Or equal to the moment alarm threshold when, the processor sounds an alarm automatically.
3. wind-power tower inclination according to claim 1 and shaking on-line monitoring system, which is characterized in that further include display Device, the display is for showing the real-time characteristic value.
4. wind-power tower inclination according to claim 3 and shaking on-line monitoring system, which is characterized in that the display It is also used to show history feature value, and the inquiry of historical data function is provided.
5. wind-power tower inclination according to claim 1 and shaking on-line monitoring system, which is characterized in that when the inclination angle The output signal of sensor or acceleration transducer is analog signal, and the acquisition unit further includes analog-digital converter, described The analog signal is converted to digital signal by analog-digital converter.
6. wind-power tower inclination according to claim 1 and shaking on-line monitoring system, which is characterized in that the collector Have the function of that multichannel RS-485 or RS-232 interface turn network interface.
7. wind-power tower inclination according to claim 1 and shaking on-line monitoring system, which is characterized in that the inclination angle passes The output interface of sensor is RS-485 or RS-232, and precision is higher than 0.02 °.
8. wind-power tower inclination according to claim 1 and shaking on-line monitoring system, which is characterized in that the acceleration The low-limit frequency of the frequency measurement range of sensor is 0.1Hz.
CN201811619569.0A 2018-12-28 2018-12-28 Wind power tower cylinder slope and rock on-line monitoring system Active CN109596175B (en)

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CN111412115A (en) * 2020-04-07 2020-07-14 国家电投集团广西电力有限公司 Novel wind power tower cylinder state online monitoring method and system
CN111486062A (en) * 2020-03-31 2020-08-04 浙江运达风电股份有限公司 Intelligent safety monitoring method and system for wind generating set tower
CN111488678A (en) * 2020-04-01 2020-08-04 浙江运达风电股份有限公司 Wind turbine generator tower accumulated fatigue damage assessment system and method
CN111648923A (en) * 2020-05-06 2020-09-11 浙江大学 Method, system, medium and electronic device for detecting dynamic disturbance degree of fan tower
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