CN110108351A - A kind of transmission line of electricity aeolian vibration monitoring system and monitoring method - Google Patents
A kind of transmission line of electricity aeolian vibration monitoring system and monitoring method Download PDFInfo
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- CN110108351A CN110108351A CN201910304341.0A CN201910304341A CN110108351A CN 110108351 A CN110108351 A CN 110108351A CN 201910304341 A CN201910304341 A CN 201910304341A CN 110108351 A CN110108351 A CN 110108351A
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- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H11/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties
- G01H11/06—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by electric means
Abstract
A kind of transmission line of electricity aeolian vibration disclosed by the invention monitors system, including the multiple aeolian vibration sensors being mounted on transmission pressure, aeolian vibration sensor connects the state monitoring apparatus being mounted on power transmission tower by ZigBee communication, and state monitoring apparatus connects ground monitoring center by 4G wireless communication.The invention also discloses a kind of transmission line of electricity aeolian vibration monitoring methods, aeolian vibration sensor acquires data first, it is pre-processed, obtain displacement fluctuation data and displacement characteristic data, it is compressed again, is then uploaded to state monitoring apparatus, state monitoring apparatus is sent to monitoring center after unziping it, realize the aeolian vibration monitoring of transmission line of electricity, the vibration performance for the aeolian vibration that method disclosed by the invention accurately describes；The fluctuation data compression that aeolian vibration sensor is realized using the method for data compression, is then uploaded again, reduces the probability of loss of data.
Description
Technical field
The invention belongs to power transmission state monitoring technical fields, and in particular to a kind of transmission line of electricity aeolian vibration monitoring system
System, further relates to a kind of transmission line of electricity aeolian vibration monitoring method.
Background technique
The on-line monitoring of aeolian vibration is a kind of monitoring project important in power system transmission line on-line monitoring field,
Its object is to real-time monitoring conducting wire or the intensity of ground wire aeolian vibration, the vibration amplitude of conducting wire or ground wire, frequency and dynamic are obtained
Bending strain measures the degree of injury of conducting wire or ground wire.However existing monitoring sensor accuracy is limited, is primarily due to gentle breeze vibration
Dynamic process is affected by wind larger, and the vibrational waveform of aeolian vibration sometimes is in nonlinear and nonstationary state, using common calculating
Amplitude, the method for frequency cannot describe the feature of each transient vibration well.Therefore in order to solve existing monitoring technology not
Accurately, the problem of life estimation inaccuracy, it is necessary to improve monitoring accuracy, be described using more accurate reasonable parameter vibrated
Journey.
Summary of the invention
The object of the present invention is to provide a kind of transmission line of electricity aeolian vibration monitor system, solve existing monitoring system by
In transmission line of electricity, vibrational waveform is in nonlinear and nonstationary state during aeolian vibration, to cannot obtain accurately vibrating width
The problem of value and frequency.
It is a further object of the present invention to provide a kind of transmission line of electricity aeolian vibration monitoring methods.
The technical scheme adopted by the invention is that a kind of transmission line of electricity aeolian vibration monitors system, including it is mounted on transmission of electricity
Multiple aeolian vibration sensors on conducting wire, aeolian vibration sensor connect the shape being mounted on power transmission tower by ZigBee communication
State monitoring device, state monitoring apparatus connect ground monitoring center by 4G wireless communication.
Other features of the invention also reside in, and aeolian vibration sensor includes sequentially connected power module 1, main control module
With displacement measurement module；Main control module is also connect with Zigbee communication module；
It include mutual inductor interconnected, power-supply controller of electric and lithium battery in power module；Power-supply controller of electric and lithium electricity
The connection of Chi Junyu main control module is master control module for power supply；
Main control module includes CPU and AD sampling module interconnected；
Displacement measurement module includes conditioning circuit and the cantilever beam displacement meter that is attached thereto；In conditioning circuit and main control module
AD sampling module connection；
Conditioning circuit setting in power module, main control module, Zigbee communication module and displacement measurement module is monitoring
In unit.
Monitoring unit and cantilever beam type displacement gage are each attached on power transmission line, cantilever beam type displacement gage be double control-type cantilever
Liang Sicheng meter, idler wheel are pressed in the exit of suspension clamp.
It is connected between cantilever beam type displacement gage and monitoring unit by four core shielding lines.
Monitoring unit by install wire clamp be mounted on power transmission line apart from suspension clamp export 180mm at, beam type
Displacement meter is installed at suspension clamp outlet 89mm, and idler wheel is well contacted with suspension clamp exit.
State monitoring apparatus is used to receive the data of aeolian vibration sensor acquisition and decompresses data.
Another technical solution of the invention is a kind of transmission line of electricity aeolian vibration monitoring method, using a kind of transmission line of electricity
Aeolian vibration monitors system, and specific operation process includes the following steps:
Step 1, the cantilever beam type displacement gage acquisition of aeolian vibration sensor internal is at suspension clamp outlet 89mm
Conductor vibration amplitude data, i.e. displacement data；
Step 2, the monitoring unit of aeolian vibration sensor internal obtains position to be sent to Oscillation Amplitude data prediction
Move fluctuation data；
Step 3, the data in preprocessing process are carried out Hilbert variation by aeolian vibration sensor, obtain amplitude, frequency
Then rate and dynamic bending strain data are compressed displacement fluctuation data and displacement characteristic data as displacement characteristic data, and
State monitoring apparatus is wirelessly transmitted to by ZigBee；
Step 4, state monitoring apparatus unzips it the data received, and is sent in monitoring by 4G network
The heart, monitoring center are shown data, realize the on-line monitoring to aeolian vibration situation on transmission line of electricity.
Preferably, detailed process is as follows for step 2:
Step 2.1, the collected data of aeolian vibration sensor are subjected to empirical mode decomposition, obtain the sheet of vibration displacement
Levy mode function group u1(t), u2(t) ..., un(t) and a remainder v (t)；
Step 2.1.1 finds out all maximum of vibration signal and minimum to vibration signal X (t) to be decomposed first
Value, is fitted maximum point and minimum point using cubic spline curve respectively, obtains coenvelope line c1 (t) and lower envelope line c2
(t), the mean value m of envelope and by formula (1) is calculated1(t)；
Original signal X (t) is subtracted into mean value m1(t), new signal h is obtained1(t), as shown in formula (2):
h1(t)=X (t)-m1(t) (2)
Under normal conditions, cubic spline interpolation can generate new extreme value at certain inflection points in the signal, therefore for the first time point
The component of solution not necessarily meets two requirements of IMF, by the way that above steps may be repeated multiple times, the available eigen mode for meeting condition
State function is denoted as u1(t), u2(t) ..., un(t)；
Step 2.1.2, by u1(t) it is separated from original signal, has obtained the signal r for eliminating highest frequency component1(t), such as formula
(3) shown in:
r1(t)=X (t)-u1(t) (3)
By remainder r1(t) as new signal, the decomposition method of step 2.2.1 is carried out again, is obtained after repeatedly decomposing
Monotonic function is final remainder v (t), and the last component decomposed；
Step 2.2, to the carry out correlation analysis of each mode function and former acquisition signal in intrinsic mode function group, such as
Shown in formula (4), the degree of correlation of each intrinsic mode function and original function is determined；
In formula, ζnFor related coefficient, n-th of component u is indicatedn(t) with the degree of correlation of original signal X (t)；By assertive evidence mode
Function is divided into the one group signal M big with original signal X (t) correlation1(t),M2(t)……,Mi(t), and it is small with original signal correlation
One group of signal m1(t),m2(t),……mj(t)；
Step 2.3, the lesser intrinsic mode function of degree associated therewith and remainder are subtracted using the initial data of acquisition,
Displacement fluctuation data are obtained, as shown in formula (5):
Y (t)=X (t)-Σ m (t)-v (t) (5)
In formula, Y (t) indicates pretreated data, and X (t) indicates acquired original data, and m (t) indicates that degree of correlation is smaller
Function, v (t) indicate remainder.
Preferably, detailed process is as follows for step 3:
Step 3.1, by M1(t),M2(t)……,Mi(t) Hilbert transform is carried out, as shown in formula (6)；
Step 3.2, the data after Hilbert transform are obtained into hilbert spectrum；Wherein, instantaneous frequency is shaken as gentle breeze
Dynamic frequency sequence, amplitude sequence of the instantaneous amplitude as aeolian vibration；
Step 3.3, bending strain sequence is set out with the amplitude sequence calculating of aeolian vibration, as shown in formula (7), then by frequency
Sequence, amplitude sequence, dynamic bending strain sequence are as displacement characteristic data to be sent；
In formula, εbIndicate that dynamic bending strain, p indicate the bending stiffness parameter of conducting wire, d indicates that the diameter of conducting wire, s indicate measurement
Point is usually 89mm at a distance from suspension clamp outlet, YbIndicate amplitude；
Step 3.4, displacement fluctuation data to be sent are subjected to Fourier transformation, the Oscillation Amplitude under time domain is transformed into
Under frequency domain, make data that there is sparsity；
Step 3.5, the displacement fluctuation data with sparsity are passed through into data compression, as shown in formula (8), after obtaining compression
Frequency domain under vibration amplitude data,
A0=Ψ0·a+e (8)
Wherein, a is the vibration amplitude data under unpressed frequency domain, A0It is compressed acceleration information, Ψ0It is compression
Matrix, e are random noises；
Step 3.6, data A step 3.5 obtained0The displacement characteristic data obtained with step 3.3, which be packaged, to be passed through
ZigBee wireless communication is sent to state monitoring apparatus.
Preferably, detailed process is as follows for step 4:
Step 4.1, the data A after state monitoring apparatus will receive packet loss1According to sample frequency and time tag, determine
The position of data is lost, and Ψ will be removed0Corresponding column are obtained new condensation matrix Ψ, are reconstructed using CS method, are restored
The data of loss；
A1=Ψ1A+e=Ψ1Hx+e (9)
Wherein, H is small echo basic matrix, and x is base transformation coefficient, and the process for solving x, which passes through, solves 1- norm optimization,
As shown in formula (10),
The x of solution is substituted into formula (9), reconstructs data a to get the displacement fluctuation data under the frequency domain arrived after decompression；
Step 4.2, displacement fluctuation data are obtained into the displacement fluctuation data under time domain by inverse Fourier transform；
Step 4.3, state monitoring apparatus by after decompression displacement fluctuation data and displacement fluctuation data be sent in monitoring
The heart, monitoring center analyze the Vibration Condition of transmission pressure according to displacement data is obtained.
The invention has the advantages that a kind of transmission line of electricity aeolian vibration monitoring system and monitoring method, solve existing
Monitoring system due to transmission line of electricity during aeolian vibration vibrational waveform be in nonlinear and nonstationary state, to cannot obtain
The problem of accurate vibration amplitude and frequency.Using empirical mode decomposition by signal decomposition, vibrated by hilbert spectrum
Instantaneous frequency and immediate movement, the vibration performance of the aeolian vibration more accurately described；It is realized using the method for data compression
The fluctuation data compression of aeolian vibration sensor, then uploads again, reduces the probability of loss of data.
Detailed description of the invention
Fig. 1 is a kind of structural block diagram of transmission line of electricity aeolian vibration monitoring system of the invention；
Fig. 2 is the knot schematic diagram of aeolian vibration sensor in a kind of transmission line of electricity aeolian vibration monitoring system of the invention；
Fig. 3 is aeolian vibration sensor external structural representation in a kind of transmission line of electricity aeolian vibration monitoring system of the invention
Figure；
Fig. 4 is the monitoring unit knot of aeolian vibration sensor in a kind of transmission line of electricity aeolian vibration monitoring system of the invention
Structure schematic diagram；
Fig. 5 is a kind of flow chart of transmission line of electricity aeolian vibration monitoring method of the invention；
Fig. 6 is certain the moment differential vibration time domain waveform acquired in embodiment；
Fig. 7 is characteristic modes function in embodiment；
Fig. 8 is to eliminate the signal after trend term in embodiment with EMD；
Fig. 9 is that the curve graph after Hilbert variation is carried out in embodiment.
In figure, 1. power modules, 1-1. mutual inductor, 1-2. power-supply controller of electric, 1-3. lithium battery, 2. main control modules, 2-
1.CPU, 2-2.AD sampling module, 3. displacement measurement modules, 3-1. cantilever beam type displacement gage, 3-2. conditioning circuit, tetra- core of 3-3.
Shielding line, 3-4. idler wheel, 4.Zigbee communication module, 5. monitoring unit, 6. suspension clamps, 7. power transmission lines, 8. installation wire clamps.
Specific embodiment
The following describes the present invention in detail with reference to the accompanying drawings and specific embodiments.
A kind of transmission line of electricity aeolian vibration of the invention monitors system, as shown in Figure 1, including being mounted on transmission pressure
Multiple aeolian vibration sensors, aeolian vibration sensor are filled by the status monitoring that ZigBee communication connection is mounted on power transmission tower
It sets, state monitoring apparatus connects ground monitoring center by 4G wireless communication.
As shown in Fig. 2, aeolian vibration sensor includes sequentially connected power module 1, main control module 2 and displacement measurement mould
Block 3；Main control module 2 is also connect with Zigbee communication module 4；
It include mutual inductor 1-1 interconnected, power-supply controller of electric 1-2 and lithium battery 1-3 in power module 1；Power supply control
Device 1-2 and lithium battery 1-3 processed are connect with main control module 2, are powered for main control module 2；
Main control module 2 includes CPU2-1 and AD sampling module 2-2 interconnected；
Displacement measurement module 3 includes conditioning circuit 3-2 and the cantilever beam displacement meter 3-1 being attached thereto；Conditioning circuit 3-2 with
AD sampling module 2-2 connection in main control module 2；
Conditioning circuit 3-2 setting in power module 1, main control module 2, Zigbee communication module 4 and displacement measurement module 3
In monitoring unit 5.
As shown in figure 3, monitoring unit 5 and cantilever beam type displacement gage 3-1 are each attached on power transmission line 7, beam type position
Moving meter 3-1 is double control-type cantilever beam displacement meter, and idler wheel 3-4 is pressed in the exit of suspension clamp 6.
Pass through four core shielding line 3-3 connections between cantilever beam type displacement gage 3-1 and monitoring unit 5.
As shown in figure 4, monitoring unit 5 is mounted on power transmission line 7 by installing wire clamp 8 apart from the outlet of suspension clamp 6 180mm
Place, cantilever beam type displacement gage 3-1 be installed on and exported at 89mm apart from suspension clamp 6, and idler wheel and 6 exit of suspension clamp are good
Good contact.
Wherein, the primary side of the mutual inductor 1-1 in power module 1 is ultra-high-tension power transmission line, and the alternating current that secondary side goes out is made
For the input of power-supply controller of electric, the alternating current that power-supply controller of electric 1-2 exports mutual inductor 1-1 by single-phase full bridge rectification circuit,
Capacitor filter, switch voltage-stabilizing circuit export stable voltage, on the one hand charge to lithium battery, on the other hand give other modules
Power supply.
Overvoltage protection and overcurrent protection part are further comprised in power-supply controller of electric 1-2, when conducting wire short circuit or other feelings
Condition causes current in wire excessive, and when the output voltage of mutual inductor is more than the range of normal voltage, overvoltage protection starting is played
Protect the effect of voltage regulator circuit.When voltage continues to increase, the increase of overvoltage circuit electric current is flowed through, overcurrent protection starting is played
Protect the effect of overvoltage protection element.In addition, current in wire is zero or direct current, mutually when line outage or use DC ice melting
The variation rate of magnetic flux for feeling coil is zero, and mutual inductor will stop exporting, and power supply of the lithium battery as sensor, guarantees at this time
Normal operation of sensor.
Main control module 2 includes sequentially connected AD sampling module 2-2 and CPU2-1, and the power supply in power module 1 controls
Device 1-2 and lithium battery 1-3 are connect with main control module 2, are powered for main control module 2.AD sampling module completes displacement measurement module
The acquisition of output signal, CPU carry out Data Integration and data processing, then export by communication module.
The idler wheel of double control-type cantilever beam displacement meter is pressed in suspension clamp exit, and the other end is fixed on conducting wire, works as conducting wire
When vibrating, double control-type cantilever beam displacement meter vibrates therewith, and certain deformation occurs for displacement meter, the electricity of displacement meter output at this time
Pressure will change, and for the voltage output of variation into conditioning circuit, on the one hand conditioning circuit gets rid of the null offset of signal,
On the other hand signal is amplified by differential amplifier, is acquired for the AD sampling module in main control module.
Communication module 4 is the output interface of sensor, by the wireless transmission method of ZigBee by sensor measurement
Output.
State monitoring apparatus is mounted on power transmission tower, for receiving the data of aeolian vibration sensor transmission, and by data
It is decompressed, monitoring center is then sent by remote wireless transmission module 4G module by data.State monitoring apparatus packet
Include power module, main control module, ZigBee communication module, four part of 4G communication module.
Wherein power module uses solar energy+battery power supply mode, is main control module, the ZigBee communication mould of device
Block and the power supply of 4G communication module.
ZigBee communication module is used to receive the data of aeolian vibration sensor transmission, and is saved in main control module.
Main control module unzips it the data that aeolian vibration sensor is sent, and is packaged into that meet national grid " defeated
Electric line aeolian vibration on-line monitoring technique specification " protocol format, and monitoring center is transmitted data to by 4G module.
4G module is for transmitting data to monitoring center.
A kind of transmission line of electricity aeolian vibration monitoring method of the invention, as shown in figure 5, specific operation process includes following step
It is rapid:
Step 1, the cantilever beam type displacement gage 3-1 acquisition of aeolian vibration sensor internal is exported apart from suspension clamp 6
Conductor vibration amplitude data at 89mm, i.e. displacement data；
Step 2, the monitoring unit 5 of aeolian vibration sensor internal obtains position to be sent to Oscillation Amplitude data prediction
Move fluctuation data；
Detailed process is as follows for step 2:
Step 2.1, the collected data X (t) of aeolian vibration sensor is subjected to empirical mode decomposition, obtains vibration displacement
Intrinsic mode function group u1(t), u2(t) ..., un(t) and a remainder v (t)；
Detailed process is as follows:
Step 2.1.1 finds out all maximum of vibration signal and minimum to vibration signal X (t) to be decomposed first
Value, is fitted maximum point and minimum point using cubic spline curve respectively, obtains coenvelope line c1 (t) and lower envelope line c2
(t), the mean value m of envelope and by formula (1) is calculated1(t)；
Original signal X (t) is subtracted into mean value m1(t), new signal h is obtained1(t), as shown in formula (2):
h1(t)=X (t)-m1(t) (2)
Under normal conditions, cubic spline interpolation can generate new extreme value at certain inflection points in the signal, therefore for the first time point
The component of solution not necessarily meets two requirements of IMF, by the way that above steps may be repeated multiple times, the available eigen mode for meeting condition
State function is denoted as u1(t), u2(t) ..., un(t)；
Step 2.1.2, by u1(t) it is separated from original signal, has obtained the signal r for eliminating highest frequency component1(t), such as formula
(3) shown in:
r1(t)=X (t)-u1(t) (3)
By remainder r1(t) as new signal, the decomposition method of step 2.2.1 is carried out again, is obtained after repeatedly decomposing
Monotonic function is final remainder v (t), and the last component decomposed；
Step 2.2, to the carry out correlation analysis of each mode function and former acquisition signal in intrinsic mode function group, such as
Shown in formula (4), the degree of correlation of each intrinsic mode function and original function is determined；
In formula, ζnFor related coefficient, n-th of component u is indicatedn(t) with the degree of correlation of original signal X (t)；
Assertive evidence mode function is divided into the one group signal M big with original signal X (t) correlation1(t),M2(t)……,Mi(t),
With the one group signal m small with original signal correlation1(t),m2(t),……mj(t)；
Step 2.3, the lesser intrinsic mode function of degree associated therewith and remainder are subtracted using the initial data of acquisition,
Displacement fluctuation data are obtained, as shown in Equation 5:
Y (t)=X (t)-Σ m (t)-v (t) (5)
In formula, Y (t) indicates pretreated data, and X (t) indicates acquired original data, and m (t) indicates that degree of correlation is smaller
Function, v (t) indicate remainder；
Step 3, the data in preprocessing process are carried out Hilbert variation by aeolian vibration sensor, obtain amplitude, frequency
Then rate and dynamic bending strain data are compressed displacement fluctuation data and displacement characteristic data as displacement characteristic data, and
State monitoring apparatus is wirelessly transmitted to by ZigBee；
Detailed process is as follows for step 3:
Step 3.1, the big intrinsic mode function M of degree of correlation step 2.2 obtained1(t),M2(t)……,Mi(t) into
Row Hilbert transform, as shown in formula (6)；
Step 3.2, the data after Hilbert transform are obtained into hilbert spectrum；Wherein, instantaneous frequency is shaken as gentle breeze
Dynamic frequency sequence, amplitude sequence of the instantaneous amplitude as aeolian vibration；
Step 3.3, bending strain sequence is set out with the amplitude sequence calculating of aeolian vibration, as shown in formula (7), then by frequency
Sequence, amplitude sequence, dynamic bending strain sequence are as displacement characteristic data to be sent；
In formula, εbIndicate that dynamic bending strain, p indicate the bending stiffness parameter of conducting wire, d indicates that the diameter of conducting wire, s indicate measurement
Point is at a distance from suspension clamp outlet (usually 89mm), YbIndicate amplitude；
Step 3.4, displacement fluctuation data to be sent are subjected to Fourier transformation, the Oscillation Amplitude under time domain is transformed into
Under frequency domain, make data that there is sparsity；
Step 3.5, the displacement fluctuation data with sparsity are passed through into data compression, as shown in formula (8), after obtaining compression
Frequency domain under vibration amplitude data,
A0=Ψ0·a+e (8)
Wherein, a is the vibration amplitude data under unpressed frequency domain, A0It is compressed acceleration information, Ψ0It is compression
Matrix, e are random noises；
Step 3.6, data A step 3.5 obtained0The displacement characteristic data obtained with step 3.3, which be packaged, to be passed through
ZigBee wireless communication is sent to state monitoring apparatus；
Step 4, state monitoring apparatus unzips it the data received, and is sent in monitoring by 4G network
The heart, monitoring center are shown data, realize the on-line monitoring to aeolian vibration situation on transmission line of electricity；
Detailed process is as follows for step 4:
Step 4.1, the data A after state monitoring apparatus will receive packet loss1According to sample frequency and time tag, determine
The position of data is lost, and Ψ will be removed0Corresponding column are obtained new condensation matrix Ψ, are reconstructed using CS method, are restored
The data of loss；
A1=Ψ1A+e=Ψ1Hx+e (9)
Wherein, H is small echo basic matrix, and x is base transformation coefficient, and the process for solving x, which passes through, solves 1- norm optimization,
As shown in formula (10),
The x of solution is substituted into formula 9, reconstructs data a to get the displacement fluctuation data under the frequency domain arrived after decompression；
Step 4.2, displacement fluctuation data are obtained into the displacement fluctuation data under time domain by inverse Fourier transform；
Step 4.3, state monitoring apparatus by after decompression displacement fluctuation data and displacement fluctuation data be sent in monitoring
The heart, monitoring center analyze the Vibration Condition of transmission pressure according to displacement data is obtained.
A kind of transmission line of electricity aeolian vibration monitoring system of the invention and monitoring method, firstly, using empirical mode decomposition
It carries out data prediction and removes the trend term of vibration signal in conjunction with correlation analysis, the trend in signal can be effectively filtered out
, improve measurement accuracy.
Secondly, the instantaneous frequency and instantaneous amplitude that are changed using Hilbert describe the vibration of conducting wire, more accurately
The dynamic bending strain value of conductor vibration amplitude and any time are obtained, the description of conducting wire aeolian vibration is more accurate.
Third is avoided aeolian vibration sensor to state monitoring apparatus and is transmitted number using data compression and reconfiguration technique
According to result error caused by packet loss in the process, the stability in wireless data transmission ensure that.
Embodiment
Trend term is filtered out with EMD, and signal shown in fig. 6 is the transmission pressure aeolian vibration signal of measurement, can be with from figure
Find out that signal deviates from baseline, with the presence of trend term.Empirical mode decomposition is carried out to signal, obtains one group of characteristic modes function,
As shown in fig. 7, obtaining the correlation coefficient charts in table 1 solving related coefficient to each IMF in Fig. 7.
1 correlation coefficient charts of table
| IMF1 | IMF2 | IMF3 | IMF4 | IMF5 | IMF6 | IMF7 | IMF8 | IMF9 |
| 0.354 | 0.385 | 0.313 | 0.2348 | 0.325 | 0.262 | 0.199 | 0.309 | 0.024 |
As can be seen from the table, the correlation very little of characteristic modes function IMF9 and original signal, it can be considered that IMF9
It may be trend term.IMF9 and remainder are subtracted with original signal, is obtained such as the waveform in Fig. 8, it can be seen that the trend term in signal
It has been filtered out.According to the data of measurement, the Hilbert transform in step 3, the curve in available Fig. 9, horizontal seat are completed
Mark represents the time, and ordinate represents amplitude, i.e. amplitude components under different time, i.e. instantaneous amplitude.
Claims (10)
1. a kind of transmission line of electricity aeolian vibration monitors system, which is characterized in that including the multiple gentle breezes being mounted on transmission pressure
Vibrating sensor, the aeolian vibration sensor connect the state monitoring apparatus being mounted on power transmission tower by ZigBee communication,
The state monitoring apparatus connects ground monitoring center by 4G wireless communication.
2. a kind of transmission line of electricity aeolian vibration as described in claim 1 monitors system, which is characterized in that the aeolian vibration passes
Sensor includes sequentially connected power module (1), main control module (2) and displacement measurement module (3)；The main control module (2) is also
It is connect with Zigbee communication module (4)；
It include mutual inductor interconnected (1-1), power-supply controller of electric (1-2) and lithium battery (1- in the power module (1)
3)；The power-supply controller of electric (1-2) and lithium battery (1-3) are connect with main control module (2), are powered for main control module (2)；
The main control module (2) includes CPU interconnected (2-1) and AD sampling module (2-2)；
Institute's displacement measurement module (3) includes conditioning circuit (3-2) and the cantilever beam displacement meter (3-1) being attached thereto；The tune
Reason circuit (3-2) is connect with AD sampling module (2-2) in main control module (2)；
Conditioning circuit in the power module (1), main control module (2), Zigbee communication module (4) and displacement measurement module (3)
(3-2) is arranged in monitoring unit (5).
3. a kind of transmission line of electricity aeolian vibration as claimed in claim 2 monitors system, which is characterized in that the monitoring unit
(5) it is each attached on power transmission line (7) with cantilever beam type displacement gage (3-1), the cantilever beam type displacement gage (3-1) is double control-type
Cantilever beam displacement meter, idler wheel (3-4) are pressed in the exit of suspension clamp (6).
4. a kind of transmission line of electricity aeolian vibration as claimed in claim 3 monitors system, which is characterized in that the beam type position
It moves between meter (3-1) and monitoring unit (5) and is connect by four core shielding lines (3-3).
5. a kind of transmission line of electricity aeolian vibration as claimed in claim 4 monitors system, which is characterized in that the monitoring unit
(5) it is mounted on power transmission line (7) at suspension clamp (6) outlet 180mm by installing wire clamp (8), the beam type position
It moves meter (3-1) to be installed at suspension clamp (6) outlet 89mm, and idler wheel is well contacted with suspension clamp (6) exit.
6. a kind of transmission line of electricity aeolian vibration as described in claim 1 monitors system, which is characterized in that the status monitoring dress
It sets the data for receiving the aeolian vibration sensor acquisition and decompresses data.
7. a kind of transmission line of electricity aeolian vibration monitoring method, which is characterized in that using a kind of power transmission line as claimed in claim 5
Road aeolian vibration monitors system, and specific operation process includes the following steps:
Step 1, cantilever beam type displacement gage (3-1) acquisition of aeolian vibration sensor internal is exported apart from suspension clamp (6)
Conductor vibration amplitude data at 89mm, i.e. displacement data；
Step 2, the monitoring unit (5) of aeolian vibration sensor internal obtains displacement to be sent to Oscillation Amplitude data prediction
Fluctuate data；
Step 3, aeolian vibration sensor by preprocessing process data carry out Hilbert variation, obtain amplitude, frequency and
Then dynamic bending strain data are compressed displacement fluctuation data and displacement characteristic data as displacement characteristic data, and pass through
ZigBee is wirelessly transmitted to state monitoring apparatus；
Step 4, state monitoring apparatus unzips it the data received, and is sent to monitoring center by 4G network, prison
Control center is shown data, realizes the on-line monitoring to aeolian vibration situation on transmission line of electricity.
8. a kind of transmission line of electricity aeolian vibration monitoring method as claimed in claim 7, which is characterized in that the tool of the step 2
Body process is as follows:
Step 2.1, the collected data of aeolian vibration sensor are subjected to empirical mode decomposition, obtain the eigen mode of vibration displacement
State function group u1(t), u2(t) ..., un(t) and a remainder v (t)；
Step 2.1.1 finds out vibration signal all maximum and minimum first, adopts to vibration signal X (t) to be decomposed
It is fitted maximum point and minimum point respectively with cubic spline curve, obtains coenvelope line c1 (t) and lower envelope line c2 (t), and
The mean value m of envelope is calculated by formula (1)1(t)；
Original signal X (t) is subtracted into mean value m1(t), new signal h is obtained1(t), as shown in formula (2):
h1(t)=X (t)-m1(t) (2)
Under normal conditions, cubic spline interpolation can generate new extreme value at certain inflection points in the signal, therefore decompose for the first time
Component not necessarily meets two requirements of IMF, by the way that above steps may be repeated multiple times, the available intrinsic mode letter for meeting condition
Number, is denoted as u1(t), u2(t) ..., un(t)；
Step 2.1.2, by u1(t) it is separated from original signal, has obtained the signal r for eliminating highest frequency component1(t), such as formula (3)
It is shown:
r1(t)=X (t)-u1(t) (3)
By remainder r1(t) as new signal, the decomposition method of step 2.2.1, the dull letter obtained after repeatedly decomposing are carried out again
Number is final remainder v (t), and the last component decomposed；
Step 2.2, to the carry out correlation analysis of each mode function and former acquisition signal in intrinsic mode function group, such as formula
(4) shown in, the degree of correlation of each intrinsic mode function and original function is determined；
In formula, ζnFor related coefficient, n-th of component u is indicatedn(t) with the degree of correlation of original signal X (t)；By assertive evidence mode function
It is divided into the one group signal M big with original signal X (t) correlation1(t),M2(t)……,MiAnd small with original signal correlation one (t),
Group signal m1(t),m2(t),……mj(t)；
Step 2.3, the lesser intrinsic mode function of degree associated therewith and remainder are subtracted using the initial data of acquisition, obtained
Displacement fluctuation data, as shown in formula (5):
Y (t)=X (t)-Σ m (t)-v (t) (5)
In formula, Y (t) indicates pretreated data, and X (t) indicates acquired original data, and m (t) indicates the lesser letter of degree of correlation
Number, v (t) indicate remainder.
9. a kind of transmission line of electricity aeolian vibration monitoring method as claimed in claim 8, which is characterized in that the tool of the step 3
Body process is as follows:
Step 3.1, by M1(t),M2(t)……,Mi(t) Hilbert transform is carried out, as shown in formula (6)；
Step 3.2, the data after Hilbert transform are obtained into hilbert spectrum；Wherein, instantaneous frequency is as aeolian vibration
Frequency sequence, amplitude sequence of the instantaneous amplitude as aeolian vibration；
Step 3.3, bending strain sequence is set out with the amplitude sequence calculating of aeolian vibration, as shown in formula (7), then by frequency sequence
Column, amplitude sequence, dynamic bending strain sequence are as displacement characteristic data to be sent；
In formula, εbIndicate dynamic bending strain, p indicates the bending stiffness parameter of conducting wire, and d indicates the diameter of conducting wire, s indicate measurement point with
The distance of suspension clamp outlet, usually 89mm, YbIndicate amplitude；
Step 3.4, displacement fluctuation data to be sent are subjected to Fourier transformation, the Oscillation Amplitude under time domain is transformed into frequency domain
Under, make data that there is sparsity；
Step 3.5, the displacement fluctuation data with sparsity are obtained into compressed frequency as shown in formula (8) by data compression
Vibration amplitude data under domain,
A0=Ψ0·a+e (8)
Wherein, a is the vibration amplitude data under unpressed frequency domain, A0It is compressed acceleration information, Ψ0It is condensation matrix,
E is random noise；
Step 3.6, data A step 3.5 obtained0The displacement characteristic data obtained with step 3.3, which be packaged, passes through ZigBee
Wireless communication is sent to state monitoring apparatus.
10. a kind of transmission line of electricity aeolian vibration monitoring method as claimed in claim 9, which is characterized in that the tool of the step 4
Body process is as follows:
Step 4.1, the data A after state monitoring apparatus will receive packet loss1According to sample frequency and time tag, determines and lose
The position of data, and Ψ will be removed0Corresponding column are obtained new condensation matrix Ψ, are reconstructed using CS method, restore to lose
Data；
A1=Ψ1A+e=Ψ1Hx+e (9)
Wherein, H is small echo basic matrix, and x is base transformation coefficient, solves the process of x by solving 1- norm optimization, such as formula
(10) shown in,
The x of solution is substituted into formula 9, reconstructs data a to get the displacement fluctuation data under the frequency domain arrived after decompression；
Step 4.2, displacement fluctuation data are obtained into the displacement fluctuation data under time domain by inverse Fourier transform；
Step 4.3, state monitoring apparatus by after decompression displacement fluctuation data and displacement fluctuation data be sent to monitoring center, supervise
The Vibration Condition of transmission pressure is analyzed according to displacement data is obtained in control center.
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| WO2022016732A1 (en) * | 2020-07-23 | 2022-01-27 | 中国电力科学研究院有限公司 | Transmission line breeze vibration sensing device and method, and transmission line breeze vibration early warning device and method |
| CN115271461A (en) * | 2022-07-29 | 2022-11-01 | 实链检测(浙江)有限公司 | Power equipment installation quality detection method |
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| WO2022016732A1 (en) * | 2020-07-23 | 2022-01-27 | 中国电力科学研究院有限公司 | Transmission line breeze vibration sensing device and method, and transmission line breeze vibration early warning device and method |
| CN115271461A (en) * | 2022-07-29 | 2022-11-01 | 实链检测(浙江)有限公司 | Power equipment installation quality detection method |
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