CN108563824A - The determination method and system of electric power pylon the most unfavorable processing condition in a kind of unconventional wind field - Google Patents
The determination method and system of electric power pylon the most unfavorable processing condition in a kind of unconventional wind field Download PDFInfo
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Abstract
The present invention provides a kind of determination method and system of electric power pylon the most unfavorable processing condition in unconventional wind field, which includes：Electric power pylon main material stress ratio under different operating modes is calculated according to the wind field characterisitic parameter of acquisition；It is normalized according to the electric power pylon main material stress ratio under wind field characterisitic parameter and different operating modes；Most notable parameter is determined by comparing the consistency of the wind field characterisitic parameter and the curve after the electric power pylon main material stress ratio normalized；By the maximum value of most notable parameter or minimum value moment corresponding operating mode, it is determined as the most unfavorable processing condition.Technical solution provided by the invention realizes the shaft tower force analysis and design optimization under the effect of the unconventional wind in transmission line of electricity Mechanics of Machinery simulation analysis, greatly reduce the screening number of force analysis operating mode, the working efficiency of power transmission tower designer is effectively increased, the ability of electric power pylon reply extreme climate is improved.
Description
Technical field
The present invention relates to transmission line of electricity Mechanics of Machinery simulation analysis research fields, and in particular to defeated in a kind of unconventional wind field
The determination method and system of ferroelectric tower the most unfavorable processing condition.
Background technology
Power transmission line column is to support high pressure or the conducting wire of super-pressure aerial power transmission line and the structures of lightning conducter.Power transmission line
Road tower be primarily subjected to wind load, ice load, line pulling force, dead load, installation or maintenance when personnel and tool weight and broken string,
The loads such as shake effect.Reasonable combination of these loads under DIFFERENT METEOROLOGICAL CONDITIONS is considered as when design.
When carrying out internal force calculating to power transmission line column, the effect for conducting wire wind load to tower, due between the fulcrum of conducting wire
The period swung laterally away from larger (generally 200~800 meters) is longer (generally 5 seconds or so), therefore is considered as wind along conducting wire
Uneven distribution and conducting wire to the dynamic effect of tower.In the early 1960s, the power department of many countries is once with actual
Test circuit measures peak response of the conducting wire under wind effect, and has worked out Practical Method accordingly, but due to by ground
The limitation of the various factors such as shape, the precision of measuring instrument, analysis level, these practical calculation methods can't accurately reflect very
Truth condition.The mid-1970s start to act on conducting wire to dynamic response caused by tower using random vibration theory analysis fitful wind, this
The method that kind establishes the probability peak that structural response is estimated on the basis of field data and with statistic concept and spectrum analysis, comparison operators
The characteristics of closing wind.
As global warming influence is more deep, the generation frequency and the extent of injury of extreme climate are continuously increased.Pole
When weather being held to occur, the wind field characteristic and conventional wind corresponding to generated non-good state wind field are totally different, are mainly reflected in average wind
Speed dramatically increases, turbulence intensity is dramatically increased and is substantially reduced with wind profile coefficient.Since the variation of these parameters is in entire wind
In field generation and moving process, all constantly changing, the combination of the wind field characterisitic parameter corresponding to any time is all different,
The stress of electric power pylon is also constantly changing.For designer, it is impossible to make the variation pair of all wind field characteristics clear
The influence of shaft tower stress unlikely carries out all operating modes the calculating of ergodic.
Invention content
In order to solve the above-mentioned deficiency in the presence of the prior art, and unconventional wind is fully considered when electric power pylon designs
Influence to electric power pylon stress, the present invention provide a kind of determination of electric power pylon the most unfavorable processing condition in unconventional wind field
Method.
Technical solution provided by the invention is：
A kind of determination method of electric power pylon the most unfavorable processing condition in unconventional wind field, including：
Electric power pylon main material stress ratio under different operating modes is calculated according to the wind field characterisitic parameter of acquisition；
It is normalized according to the electric power pylon main material stress under the wind field characterisitic parameter and different operating modes；
By comparing the wind field characterisitic parameter and the curve after the electric power pylon main material stress ratio normalized
Consistency determines most notable parameter；
By the maximum value or minimum value moment corresponding operating mode of the most notable parameter, it is determined as the most unfavorable processing condition.
Preferably, described that electric power pylon main material stress ratio packet under different operating modes is calculated according to the wind field characterisitic parameter of acquisition
It includes：
Based on mean wind speed, turbulence intensity and corresponding wind profile Index selection operating mode；
Force analysis is carried out to the electric power pylon under different operating modes, calculates electric power pylon main material stress ratio；
The wherein selected operating mode includes：At the time of respectively there is maximum value in mean wind speed and turbulence intensity, Yi Jifeng
At the time of there is minimum value in section index.
Preferably, the electric power pylon main material stress ratio F1It is calculated as follows：
In formula, σc,max：Maximum crushing stress；σy：Material area stress；
Or
In formula, σt,max：Maximum tension stress.
Preferably, the maximum tension stress σt,maxWith maximum crushing stress σc,maxIt is calculated as follows respectively：
In formula, N：Axle power；F：Shearing；M：Moment of flexure；A：Area of section；Wz：The flexural factor of section；
Preferably, the electric power pylon main material stress according under the wind field characterisitic parameter and different operating modes carries out normalizing
Change is handled：
Place is normalized in the wind field characterisitic parameter and electric power pylon main material stress ratio that change with operating mode and change
Reason, and draw the wind field characterisitic parameter and curve that electric power pylon main material stress ratio changes with operating mode..
Preferably, after by comparing the wind field characterisitic parameter and the electric power pylon main material stress ratio normalized
The consistency of curve determines most notable parameter, including：
By with the immediate wind field characterisitic parameter of curve after the electric power pylon main material stress ratio normalized with work
Wind field characterisitic parameter corresponding to the curve of condition variation is as sensibility Typhoon Wind Field characterisitic parameter.
The determination system of electric power pylon the most unfavorable processing condition in a kind of unconventional wind field, including：
Computing module, for calculating electric power pylon main material stress ratio under different operating modes according to the wind field characterisitic parameter of acquisition；
Processing module, for being returned according to the electric power pylon main material stress under the wind field characterisitic parameter and different operating modes
One change is handled；
First determining module, for by comparing the wind field characterisitic parameter and the electric power pylon main material stress ratio normalizing
The consistency for changing treated curve determines most notable parameter；
Second determining module, for by the maximum value or minimum value moment corresponding operating mode of the most notable parameter, determining
For the most unfavorable processing condition.
Preferably, the computing module includes：Operating mode selection unit and analytic unit；
Operating mode selection unit, for being based on mean wind speed, turbulence intensity and corresponding wind profile Index selection operating mode；
Analytic unit calculates electric power pylon main material stress for carrying out force analysis to the electric power pylon under different operating modes
Than；The wherein selected operating mode includes：At the time of maximum value respectively occur in mean wind speed and turbulence intensity and wind profile refers to
At the time of counting existing minimum value.
Preferably, the processing module includes：Normalization unit and drawing unit；
The normalization unit, the wind field characterisitic parameter and electric power pylon main material for will change with operating mode and change
Stress ratio is normalized；
The drawing unit, for drawing the wind field characterisitic parameter and electric power pylon main material stress ratio changes with operating mode
Curve.
Preferably, first determining module includes：Judging unit and selecting unit；
The judging unit, for by with the electric power pylon main material stress ratio with operating mode number variation curvilinear trend into
Row consistency judges；
The selecting unit, the corresponding parameter of the curve the most consistent for trade-off curve trend are used as most notable parameter.
Compared with prior art, beneficial effects of the present invention are：
The present invention provides a kind of determination method of electric power pylon the most unfavorable processing condition in unconventional wind field, by with the transmission of electricity
Curve after iron tower main material stress ratio normalized unanimously judges to determine most notable parameter, be determined according to the wind field characterisitic parameter
The most unfavorable processing condition provides design analysis for power transmission tower designer and supports, makes it only need to be to the electric power pylon under the most unfavorable processing condition
Internal force is calculated.
Technical solution provided by the invention directly seeks relationship of the wind field characterisitic parameter with shaft tower stress, reduces and determines least
Profit calculates the tentative calculation number needed for operating mode, and efficiency is higher.
Technical solution provided by the invention leads to too small amount of simulation calculation, grasps the change of steel tower stress field characteristic parameter with the wind
Law greatly reduces stress to directly determine steel tower the most unfavorable processing condition by analyzing the changing rule of wind field characterisitic parameter
The screening number for analyzing operating mode effectively increases the working efficiency of power transmission tower designer, improves electric power pylon and copes with extreme gas
The ability of time.
Description of the drawings
Fig. 1 be the present invention unconventional wind field in electric power pylon the most unfavorable processing condition determination method flow chart；
Fig. 2 is that certain Typhoon Wind Field characterisitic parameter changes over time curve in the embodiment of the present invention；
Fig. 3 is certain type long span transmission line structure structure and wind pressure stepwise schematic views in the embodiment of the present invention；
Fig. 4 is main material stress of the electric power pylon under each operating mode in the embodiment of the present invention along tower body distribution map；
Fig. 5 is that normalized Typhoon Wind Field parameter and rod piece stress ratio number variation song with operating mode in the embodiment of the present invention
Line；
Fig. 6 be the present invention a kind of unconventional wind field in electric power pylon the most unfavorable processing condition determination system structural representation
Figure.
Specific implementation mode
For a better understanding of the present invention, the present invention is made further specifically with example with reference to the accompanying drawings of the specification
It is bright.Obviously, described embodiment is a part of the embodiment of the present invention, instead of all the embodiments.Based in the present invention
Embodiment, all other embodiment obtained by those of ordinary skill in the art without making creative efforts,
It shall fall within the protection scope of the present invention.
The determination method of electric power pylon the most unfavorable processing condition in unconventional wind field provided by the invention is related to transmission line of electricity machinery
The lower the most unfavorable processing condition of unconventional wind effect how is determined in Mechanics Simulation analysis, especially suitable for the shaft tower under typhoon effect by
Power is analyzed and design optimization.
Embodiment 1:
The determination method of electric power pylon the most unfavorable processing condition in unconventional wind field provided in an embodiment of the present invention, specific implementation
Process is as shown in Figure 1, include：
S101：Electric power pylon main material stress ratio under different operating modes is calculated according to the wind field characterisitic parameter of acquisition；
S102：Place is normalized according to the electric power pylon main material stress ratio under the wind field characterisitic parameter and different operating modes
Reason；
S103：By comparing the wind field characterisitic parameter and the song after the electric power pylon main material stress ratio normalized
The consistency of line determines most notable parameter；
S104：By the maximum value or minimum value moment corresponding operating mode of the most notable parameter, it is determined as the most unfavorable processing condition.
Step S101 calculates electric power pylon main material stress ratio under different operating modes according to the wind field characterisitic parameter of acquisition, including：
It is changed with time rule according to wind field characterisitic parameter, mean wind speed and rapids at the different height that observation tower observes
Intensity of flow and corresponding wind profile index are directly related with electric power pylon main material stress, by mean wind speed, turbulence intensity and wind
Section index is determined as the wind field characterisitic parameter directly related with electric power pylon main material stress.
Electric power pylon main material stress ratio under different operating modes is calculated, including：
Different operating modes are chosen, and force analysis is carried out to the wind field characterisitic parameter combination under the operating mode of selection, are calculated
Electric power pylon main material stress ratio：
Wherein, the selection of different operating modes is analyzed according to the trend of time changing curve, from time changing curve, choosing
It takes and has separately included at the time of maximum value respectively occur in mean wind speed and turbulence intensity and minimum value occurs in wind profile index
Multiple and different operating modes at moment, and list embodies the mean wind speed of each operating mode, wind profile index and turbulence intensity.
Step S102, the different working conditions selected according to step S101, to the wind field characteristic under different operating modes
Parameter and electric power pylon main material stress ratio are normalized：
The wind field characterisitic parameter and electric power pylon main material stress ratio are normalized, and draw normalized institute
State the curve of wind field characterisitic parameter and electric power pylon main material stress ratio with operating mode number variation.
After normalized, step S103, by comparing the wind field characterisitic parameter and the electric power pylon main material stress
Most notable parameter is determined than the consistency of the curve after normalized, including：
With the electric power pylon main material stress ratio consistency judgement will be carried out with the curvilinear trend of operating mode number variation；
The corresponding parameter of trade-off curve trend curve the most consistent is used as most notable parameter.
Embodiment 2:
The present invention also provides a kind of determination systems of electric power pylon the most unfavorable processing condition in unconventional wind field, as shown in fig. 6, institute
The system of stating includes：
Parameter determination module determines and electric power pylon main material for being changed with time rule according to wind field characterisitic parameter
The directly related wind field characterisitic parameter of stress；
Computing module, for according to the wind field characterisitic parameter, calculating the electric power pylon main material stress ratio under different operating modes；
Processing module, under different operating modes the wind field characterisitic parameter and electric power pylon main material stress ratio return
One change is handled；
First determining module, for by comparing the wind field characterisitic parameter and the electric power pylon main material stress ratio normalizing
The consistency for changing treated curve determines most notable parameter；
The maximum value or minimum value moment corresponding operating mode of the most notable parameter are determined as most by the second determining module
Unfavorable operating mode.
The computing module includes：Operating mode selection unit and analytic unit；
Operating mode selection unit, at the time of containing mean wind speed and turbulence intensity for choosing and maximum value respectively occur, with
And multiple and different operating modes of wind profile index at the time of there is minimum value；
Analytic unit calculates defeated for carrying out force analysis to the wind field characterisitic parameter combination under the operating mode of selection
Electric iron tower main material stress ratio.
The processing module includes：Normalization unit and drawing unit；
The normalization unit, the wind field characterisitic parameter and electric power pylon main material for will change with operating mode and change
Stress ratio is normalized；
The drawing unit, for drawing the wind field characterisitic parameter and electric power pylon main material stress ratio changes with operating mode
Curve.
First determining module includes：Judging unit and selecting unit；
The judging unit, for by with the electric power pylon main material stress ratio with operating mode number variation curvilinear trend into
Row consistency judges；
The selecting unit, the corresponding parameter of the curve the most consistent for trade-off curve trend are used as most notable parameter.
Embodiment 3：
By taking certain Typhoon Wind Field characterisitic parameter as an example, Fig. 2 gives what the observation tower in A class geomorphic provinces observed
The wind fields characterisitic parameter such as mean wind speed and turbulence intensity and corresponding wind profile index, changes with time at different height
Curve.
In view of in typhoon traveling process, the relative position of transmission tower and center of typhoon is constantly changing, typhoon itself
Wind field is also constantly changing at any time, and shaft tower internal force is simultaneously by mean wind speed, wind profile index and turbulence intensity three
The joint effect of person.It is distinguish for the influence difference to above three parameter, the wind field for having chosen 5 different periods is ground
Study carefully.This 5 periods have separately included at the time of maximum value respectively occur in mean wind speed and turbulence intensity and wind profile index goes out
At the time of existing minimum value, to ensure that the least favorable load case under three kinds of parameter collective effects will not be omitted as far as possible.Under
Face table 1 gives wind field characterisitic parameter value in the specific time period of selection：
1 wind field characterisitic parameter composite condition of table
It is condition background to choose electric power pylon as shown in Figure 3, is combined according to the wind field characterisitic parameter determined in step 2,
Force analysis is carried out to it.The electric power pylon main material stress ratio under selected specific operation is calculated along tower body distribution as schemed
Shown in 4.
Mean wind speed, 10m high turbulence intensities, wind profile coefficient and electric power pylon rod piece stress ratio are all subjected to normalizing
Change, draws normalized mean wind speed, 10m high turbulence intensities, wind profile coefficient with operating mode number change curve, see Fig. 5.
To Fig. 5 analyses it is found that the change curve of steel tower rod piece stress ratio change curve trend and mean wind speed is the most consistent,
Judgement determines that the most unfavorable processing condition is operating mode 4 using mean wind speed as most notable parameter, according to average wind.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, the application can be used in one or more wherein include computer usable program code computer
The computer program production implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is with reference to method, the flow of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
Instruct the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine so that the instruction executed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
It these are only the embodiment of the present invention, be not intended to restrict the invention, it is all in the spirit and principles in the present invention
Within, any modification, equivalent substitution, improvement and etc. done, be all contained in apply pending scope of the presently claimed invention it
It is interior.
Claims (11)
1. a kind of determination method of electric power pylon the most unfavorable processing condition in unconventional wind field, which is characterized in that including：
Electric power pylon main material stress ratio under different operating modes is calculated according to the wind field characterisitic parameter of acquisition；
It is normalized according to the electric power pylon main material stress ratio under the wind field characterisitic parameter and different operating modes；
It is consistent with the curve after the electric power pylon main material stress ratio normalized by comparing the wind field characterisitic parameter
Property determine most notable parameter；
By the maximum value or minimum value moment corresponding operating mode of the most notable parameter, it is determined as the most unfavorable processing condition.
2. according to the method described in claim 1, it is characterized in that, the wind field characterisitic parameter includes that mean wind speed, turbulent flow are strong
Degree and wind profile index；
Electric power pylon main material stress ratio includes under the different operating modes according to the calculating of the wind field characterisitic parameter of acquisition：
Based on mean wind speed, turbulence intensity and corresponding wind profile Index selection operating mode；
Force analysis is carried out to the electric power pylon under different operating modes, calculates electric power pylon main material stress ratio；
Wherein, the selected operating mode includes：Respectively there is maximum value moment corresponding operating mode in mean wind speed and turbulence intensity, with
And there is minimum value moment corresponding operating mode in wind profile index.
3. determining method as claimed in claim 2, which is characterized in that the electric power pylon main material stress ratio F1It is calculated as follows：
In formula, σc,max：Maximum crushing stress；σy：Material area stress；
Or
In formula, σt,max：Maximum tension stress.
4. determining method as claimed in claim 3, which is characterized in that the maximum tension stress σt,maxWith maximum crushing stress σc,max
It is calculated as follows respectively：
In formula, N：Axle power；F：Shearing；M：Moment of flexure；A：Area of section；Wz：The flexural factor of section；
5. the method as described in claim 1, which is characterized in that described according under the wind field characterisitic parameter and different operating modes
Electric power pylon main material stress be normalized including：
The wind field characterisitic parameter and electric power pylon main material stress ratio that change with operating mode and change are normalized, and
Draw the wind field characterisitic parameter and curve that electric power pylon main material stress ratio changes with operating mode.
6. the method as described in claim 1, which is characterized in that the wind field characterisitic parameter by comparing and the transmission of electricity
The consistency of curve after iron tower main material stress ratio normalized determines most notable parameter, including：
It will become with operating mode with the immediate wind field characterisitic parameter of curve after the electric power pylon main material stress ratio normalized
Wind field characterisitic parameter corresponding to the curve of change is as sensibility Typhoon Wind Field characterisitic parameter.
7. the method as described in claim 1, which is characterized in that when the maximum value or minimum value by the most notable parameter
Corresponding operating mode is carved, the most unfavorable processing condition is determined as, including：
When most notable parameter is mean wind speed or turbulence intensity, the maximum value moment corresponding operating mode of the most notable parameter is true
It is set to the most unfavorable processing condition；
When most notable parameter is wind profile index, the minimum value moment corresponding operating mode of the most notable parameter is determined as least
Sharp operating mode.
8. the determination system of electric power pylon the most unfavorable processing condition in a kind of unconventional wind field, which is characterized in that including：
Computing module, for calculating electric power pylon main material stress ratio under different operating modes according to the wind field characterisitic parameter of acquisition；
Processing module, for being normalized according to the electric power pylon main material stress under the wind field characterisitic parameter and different operating modes
Processing；
First determining module, at by comparing the wind field characterisitic parameter and the electric power pylon main material stress ratio normalization
The consistency of curve after reason determines most notable parameter；
Second determining module, for by the maximum value or minimum value moment corresponding operating mode of the most notable parameter, being determined as most
Unfavorable operating mode.
9. system as claimed in claim 8, which is characterized in that the computing module includes：Operating mode selection unit and analysis are single
Member；
Operating mode selection unit, for being based on mean wind speed, turbulence intensity and corresponding wind profile Index selection operating mode；
Analytic unit calculates electric power pylon main material stress ratio for carrying out force analysis to the electric power pylon under different operating modes；Its
Described in the operating mode that selects include：At the time of maximum value respectively occur in mean wind speed and turbulence intensity and wind profile index goes out
At the time of existing minimum value.
10. system according to claim 8, which is characterized in that the processing module includes：Normalization unit and drafting are single
Member；
The normalization unit, the wind field characterisitic parameter and electric power pylon main material stress for will change with operating mode and change
Than being normalized；
The drawing unit, the song for drawing the wind field characterisitic parameter and electric power pylon main material stress ratio changes with operating mode
Line.
11. system according to claim 8, which is characterized in that first determining module includes：Judging unit and selection
Unit；
The judging unit, for one will to be carried out with the curvilinear trend of operating mode number variation with the electric power pylon main material stress ratio
Cause property judges；
The selecting unit, the corresponding parameter of the curve the most consistent for trade-off curve trend are used as most notable parameter.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110794260A (en) * | 2019-11-04 | 2020-02-14 | 国网福建省电力有限公司 | Overhead transmission line positioning method based on double RTK unmanned aerial vehicles |
| CN112697331A (en) * | 2020-12-03 | 2021-04-23 | 广东电网有限责任公司电力科学研究院 | Method and device for monitoring distribution network line in strong wind environment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254061A (en) * | 2011-06-09 | 2011-11-23 | 山东电力研究院 | Finite element modeling and bearing method for line-tower coupling system of power transmission tower |
| CN102930103A (en) * | 2012-11-01 | 2013-02-13 | 武汉大学 | Tower weak component location method based on finite element dynamic analysis |
-
2018
- 2018-03-01 CN CN201810170132.7A patent/CN108563824A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254061A (en) * | 2011-06-09 | 2011-11-23 | 山东电力研究院 | Finite element modeling and bearing method for line-tower coupling system of power transmission tower |
| CN102930103A (en) * | 2012-11-01 | 2013-02-13 | 武汉大学 | Tower weak component location method based on finite element dynamic analysis |
Non-Patent Citations (2)
| Title |
|---|
| 张坤勇: "考虑应力各向异性土体本构模型及其应用研究", 中国博士学位论文全文数据库, 15 March 2005 (2005-03-15), pages 122 - 135 * |
| 张宏杰等: "台风风场参数对输电杆塔力学特性的影响", 中国电力, vol. 49, no. 2, 29 February 2016 (2016-02-29), pages 41 - 47 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110794260A (en) * | 2019-11-04 | 2020-02-14 | 国网福建省电力有限公司 | Overhead transmission line positioning method based on double RTK unmanned aerial vehicles |
| CN110794260B (en) * | 2019-11-04 | 2021-08-31 | 国网福建省电力有限公司 | Overhead transmission line positioning method based on double RTK unmanned aerial vehicles |
| CN112697331A (en) * | 2020-12-03 | 2021-04-23 | 广东电网有限责任公司电力科学研究院 | Method and device for monitoring distribution network line in strong wind environment |
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