CN111189382A - Deformation monitoring and risk evaluation method for extra-high voltage transmission tower in goaf - Google Patents
Deformation monitoring and risk evaluation method for extra-high voltage transmission tower in goaf Download PDFInfo
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Abstract
The invention provides a method for monitoring deformation and evaluating risk of an extra-high voltage transmission tower in a goaf, which comprises the following steps: and obtaining a goaf surface deformation rate field by adopting a long time sequence interference radar measurement method based on goaf extra-high voltage transmission tower synthetic aperture radar image data, and evaluating tower deformation risks of regional towers along the goaf transmission channel according to the goaf surface deformation rate field. According to the technical scheme provided by the invention, a long-time-sequence InSAR analysis technology is adopted, according to the radar scattering characteristics of the extra-high voltage transmission tower and the imaging characteristics of a net-shaped tower structure, the deformation characteristics of the extra-high voltage transmission tower are monitored by utilizing a high-resolution SAR image, the deformation information on a goaf and the transmission tower is acquired at high precision, and the deformation risk evaluation and early identification of the tower are realized.
Description
Technical Field
The invention relates to the field of remote sensing technology and safety monitoring, in particular to a deformation monitoring and risk evaluation method for an extra-high voltage transmission tower in a goaf.
Background
The extra-high voltage transmission tower is used as an important component of the transmission line, regular maintenance and online state monitoring are carried out on the transmission line, and therefore potential risks are estimated and controlled in advance, and the extra-high voltage transmission tower plays a vital role in ensuring normal operation of the transmission line. The goaf easily causes severe and rapid collapse and deformation of the earth surface, and can seriously threaten the safety of the transmission tower on the earth surface of the goaf. Therefore, well monitoring the deformation of the surface transmission tower of the goaf is an important guarantee measure for maintaining the stable operation of the transmission line.
At present, the main monitoring mode for the tower shape of the extra-high voltage transmission tower mainly comprises a GPS, close-range photography and geodetic survey, a certain number of monitoring points need to be arranged on a monitoring body before monitoring work is carried out on the deformation monitoring means, then deformation monitoring can be carried out on a monitored target by using a corresponding surveying and mapping instrument, the problems of long point monitoring period, high manual measurement difficulty and high cost exist, and the safety monitoring of the extra-high voltage transmission tower on a large scale cannot be carried out.
In addition, the traditional manual inspection method with single deformation not only needs to consume a large amount of manpower and material resources, but also is not easy to find out the deformation problem of the goaf tower in time, so that the normal operation of the electric line has great potential safety hazards.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a deformation monitoring and risk evaluation method for an extra-high voltage transmission tower in a goaf, which is used for carrying out regular maintenance and online state monitoring on the extra-high voltage transmission tower and evaluating and controlling potential risks in advance.
The method is used for monitoring the deformation of the goaf extra-high voltage transmission tower based on an InSAR (Interferometric Synthetic Aperture Radar) technology. The InSAR is a monitoring mode without arranging a ground survey station, and can directly acquire large-range and high-precision terrain information and micro deformation information of the earth surface from the space all day long. The system can be used for efficiently monitoring in mountainous areas where the conventional ground measurement is inconvenient for people, and in areas with complex ground conditions and severe weather, and has the advantages of low cost and high efficiency.
The technical scheme provided by the invention is as follows:
a method for monitoring deformation of an extra-high voltage transmission tower in a goaf comprises the following steps:
obtaining a linear deformation phase and a nonlinear deformation phase of a goaf based on image data of the goaf ultra-high voltage transmission tower synthetic aperture radar by adopting a long time sequence interference radar measurement method;
and obtaining the goaf surface deformation rate field based on the nonlinear deformation phase and the linear deformation.
Preferably, the analyzing and obtaining the goaf linear deformation and nonlinear deformation phase based on the goaf ultra-high voltage transmission tower synthetic aperture radar image data comprises:
carrying out image registration and differential interference processing on the image data of the synthetic aperture radar of the extra-high voltage transmission tower in the goaf to obtain differential interference data;
selecting a PS point for phase estimation based on the differential interference data, and performing phase estimation and atmospheric phase separation according to the PS point to obtain a linear deformation phase and a nonlinear deformation phase of the goaf;
wherein the PS is a permanent scatterer.
Further, image registration and differential interference processing are carried out on the image data of the goaf ultra-high voltage transmission tower synthetic aperture radar to obtain differential interference data, and the method comprises the following steps:
eliminating noise caused by signal transmission by radiometric calibration of the synthetic aperture radar image data, and selecting a main image from the goaf ultra-high voltage transmission tower radar image data according to a space baseline, a Doppler centroid difference and a time baseline;
resampling the other images except the main image to a main image space to complete the registration of the same-name image points among the images;
and carrying out differential interference processing on the registered images, and eliminating the terrain phase and the flat ground phase related to the space baseline to obtain differential interference data.
Further, the selecting the PS point for phase estimation based on the differential interference data includes:
and extracting a PS point for phase estimation from the differential interference data by adopting an amplitude dispersion method or a coherence coefficient method based on a preset threshold value.
Further, performing phase estimation and atmospheric phase separation according to the PS point to obtain a linear deformation phase and a nonlinear deformation phase of the gob, including:
constructing an irregular triangular network based on the PS points, and performing phase unwrapping by using a minimum cost flow method by using a periodic diagram and a quality diagram to obtain the real phase of the PS points;
solving linear deformation and elevation errors through regression analysis based on the real phase of the PS point to obtain linear deformation, terrain errors and residual phases of the goaf;
and based on the residual phase, separating by adopting a filtering method to obtain a nonlinear deformation phase, an atmospheric phase and a noise phase in the residual phase.
Preferably, the obtaining the goaf surface deformation rate field based on the nonlinear deformation phase and the linear deformation includes:
and adding the nonlinear deformation phase and the linear deformation to obtain the goaf surface deformation rate field.
A goaf extra-high voltage transmission tower deformation monitoring system comprises: the system comprises a data acquisition module, an image processing module and an analysis monitoring module;
the data acquisition module is used for acquiring radar image data of the extra-high voltage transmission tower in the goaf;
the image processing module is used for carrying out image registration and differential interference processing on the image data of the extra-high voltage transmission tower radar in the goaf to obtain differential interference data;
the analysis monitoring module is used for obtaining the linear deformation and the nonlinear deformation phase of the goaf based on the differential interference data and obtaining the goaf surface deformation rate field according to the nonlinear deformation phase and the linear deformation.
Preferably, the image processing module includes: an image registration unit and a differential interference unit;
the image registration unit is used for carrying out image registration processing according to the image data of the extra-high voltage transmission tower radar in the goaf and transmitting the registered image to the differential interference unit;
and the differential interference unit is used for performing differential interference processing on the registered images, and eliminating the terrain phase and the flat ground phase related to the spatial baseline to obtain differential interference data.
Preferably, the analysis monitoring module comprises: the device comprises a PS point selecting unit, a phase separating unit and a deformation confirming unit;
the PS point selecting unit is used for selecting a PS point for phase estimation based on the differential interference data;
the phase separation unit is used for carrying out phase estimation and atmospheric phase separation according to the PS point to obtain the linear deformation phase and the nonlinear deformation phase of the goaf;
and the deformation confirming unit is used for adding the nonlinear deformation phase and the linear deformation to obtain the goaf earth surface deformation rate field.
A deformation risk evaluation method for a goaf tower comprises the following steps:
obtaining a goaf earth surface deformation rate field according to the goaf extra-high voltage transmission tower deformation monitoring method of claims 1 to 6;
and based on the goaf ground surface deformation rate field, carrying out tower deformation risk evaluation on towers in the area along the goaf power transmission channel, and displaying the evaluation result on a pre-established goaf tower deformation risk evaluation topographic map.
Preferably, the establishment of the deformation risk evaluation topographic map of the goaf tower comprises the following steps:
analyzing by adopting a statistical model to obtain a deformation risk evaluation topographic map of the tower of the goaf based on geological data, meteorological data and human activity data of a geographical area where the goaf is pre-collected;
and the deformation risk evaluation topographic map of the initial tower of the gob distinguishes and marks the deformation risk of the tower in the area along the transmission channel of the gob by different colors.
Preferably, the pole tower deformation risk evaluation is performed on pole towers in an area along the transmission channel of the goaf based on the goaf ground surface deformation rate field, and an evaluation result is displayed on a pre-established goaf pole tower deformation risk evaluation topographic map, and the evaluation method includes the following steps:
based on the goaf surface deformation rate field, classifying by adopting a natural discontinuity method to obtain a deformation rate interval of regional towers along the goaf power transmission channel;
determining a deformation risk correction value of a tower in an area along the transmission channel of the goaf based on the deformation rate interval;
and correcting the pre-established deformation risk evaluation topographic map of the tower in the gob based on the deformation risk correction value of the tower in the area along the transmission channel in the gob to obtain the corrected deformation risk evaluation topographic map of the tower.
Further, the modifying the pre-established deformation risk evaluation topographic map of the goaf tower based on the deformation risk modification value of the tower in the area along the goaf power transmission channel includes:
and modifying the deformation risk of the tower in the area along the transmission channel of the goaf into a color corresponding to the modification value according to the deformation risk modification value on the deformation risk evaluation topographic map of the tower in the goaf.
A deformation risk evaluation system for a goaf tower comprises: the system comprises a deformation monitoring module and a risk evaluation analysis module;
the deformation monitoring module is used for obtaining a goaf surface deformation rate field according to a goaf extra-high voltage transmission tower deformation monitoring method;
and the risk evaluation analysis module is used for carrying out tower deformation risk evaluation on towers in an area along the transmission channel of the goaf according to the ground surface deformation rate field of the goaf, and displaying the evaluation result on a pre-established deformation risk evaluation topographic map of the towers in the goaf.
Preferably, the risk assessment analysis module comprises: a risk evaluation topographic map unit and a correction unit;
the risk evaluation topographic map unit is used for obtaining a deformation risk evaluation topographic map of the goaf tower by adopting statistical model analysis based on pre-collected geological data, meteorological data and human activity data of the geographic area where the goaf is located, and distinguishing and marking deformation risks of the tower in the area along the goaf power transmission channel on the risk evaluation topographic map by different colors;
the correction unit is used for determining a deformation risk correction value of a tower in an area along the transmission channel of the goaf based on the goaf ground surface deformation rate field of the deformation monitoring module, and correcting a pre-established deformation risk evaluation topographic map of the tower of the goaf by using the deformation risk correction value.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a deformation monitoring and risk evaluation method for an extra-high voltage transmission tower in a goaf, wherein the deformation monitoring method adopts a long-time-sequence interference radar measurement method, and based on synthetic aperture radar image data of the extra-high voltage transmission tower in the goaf, the linear deformation and nonlinear deformation phases of the goaf are obtained; and obtaining the goaf surface deformation rate field based on the nonlinear deformation phase and the linear deformation. The risk evaluation method obtains a goaf surface deformation rate field according to a goaf extra-high voltage transmission tower deformation monitoring method; and based on the goaf ground surface deformation rate field, carrying out tower deformation risk evaluation on towers in the area along the goaf power transmission channel, and displaying the evaluation result on a pre-established goaf tower deformation risk evaluation topographic map. According to the technical scheme provided by the invention, a long time sequence InSAR analysis technology is adopted, and parameter estimation is carried out on the phase statistical characteristics of multi-time sequence SAR data according to the radar scattering characteristics of the extra-high voltage transmission tower and the imaging characteristics of a net-shaped tower structure, so that errors caused by factors such as atmospheric delay, DEM (digital elevation model), low coherence and the like in an interference phase are effectively reduced, and deformation information on a goaf and the transmission tower is acquired with high precision.
According to the technical scheme provided by the invention, the deformation characteristics of the extra-high voltage transmission tower are extracted by utilizing an SAR target identification and extraction technology, the feasibility of monitoring the deformation of the tower by utilizing a high-resolution SAR image is verified, the deformation risk evaluation and early identification of the tower are realized, the change of the monitored tower and surrounding terrain is determined, and the basic risk evaluation criterion of the extra-high voltage transmission tower is established.
Drawings
FIG. 1 is a flow chart of the goaf ultra-high voltage transmission tower deformation monitoring method of the invention;
FIG. 2 is a flow chart of the deformation risk evaluation method of the goaf tower;
FIG. 3 is a flow chart of deformation monitoring and risk evaluation processing of the long-time-sequence interferometry goaf extra-high voltage transmission tower in the embodiment of the invention;
FIG. 4 is a schematic structural diagram of a goaf extra-high voltage transmission tower deformation monitoring system of the present invention;
fig. 5 is a schematic structural diagram of the deformation risk evaluation system for the goaf tower.
Detailed Description
For a better understanding of the present invention, reference is made to the following detailed description taken in conjunction with the accompanying drawings and examples. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
the method for monitoring the deformation of the goaf extra-high voltage transmission tower provided by the embodiment of the invention is specifically implemented as shown in fig. 1, and comprises the following steps:
s101: obtaining a linear deformation phase and a nonlinear deformation phase of a goaf based on image data of the goaf ultra-high voltage transmission tower synthetic aperture radar by adopting a long time sequence interference radar measurement method;
s102: and obtaining the goaf surface deformation rate field based on the nonlinear deformation phase and the linear deformation.
Specifically, step S101, obtaining a goaf linear deformation phase and a nonlinear deformation phase based on goaf ultra-high voltage transmission tower synthetic aperture radar image data by using a long-time-sequence interference radar measurement method, specifically includes:
s101-1, acquiring image data of a long time sequence synthetic aperture radar of an ultra-high voltage transmission tower in a goaf;
s101-2, eliminating noise caused by signal emission through radiometric calibration of synthetic aperture radar image data, and selecting a main image from the goaf extra-high voltage transmission tower radar image data according to a space baseline, a Doppler centroid difference and a time baseline;
step S101-3, resampling the other images except the main image to a main image space, and finishing registration of the same-name image points among the images;
s101-4, performing differential interference processing on the registered images, and eliminating terrain phases and flat ground phases related to a spatial baseline to obtain differential interference data;
step S101-5, extracting a PS point for phase estimation from the differential interference data of step S101-4 by adopting an amplitude dispersion method or a coherence coefficient method based on a preset threshold value;
s101-6, constructing an irregular triangular network based on the PS points in the S101-5, and performing phase unwrapping by using a minimum cost flow method by using a periodic diagram and a quality diagram to obtain the real phase of the PS points;
s101-7, solving linear deformation and elevation errors through regression analysis based on the real phase of the PS point in the S101-6 to obtain linear deformation, terrain errors and residual phases of the goaf;
and S101-8, based on the residual phase, separating by adopting a filtering method to obtain a nonlinear deformation phase, an atmospheric phase and a noise phase in the residual phase.
Specifically, in step S102, obtaining the goaf surface deformation rate field based on the nonlinear deformation phase and the linear deformation includes:
and S102-1, adding the nonlinear deformation phase and the linear deformation obtained in the step S101 to obtain a goaf surface deformation rate field.
Example 2:
the method for evaluating the deformation risk of the goaf tower, provided by the embodiment of the invention, has the specific implementation process as shown in fig. 2, and comprises the following steps:
s201: obtaining a goaf surface deformation rate field according to a goaf extra-high voltage transmission tower deformation monitoring method;
s202: and based on the goaf ground surface deformation rate field, carrying out tower deformation risk evaluation on towers in the area along the goaf power transmission channel, and displaying the evaluation result on a pre-established goaf tower deformation risk evaluation topographic map.
Specifically, step S202 is to perform tower deformation evaluation on towers in an area along the transmission channel of the gob based on the deformation rate field of the surface of the gob, and to display an evaluation result on a deformation risk evaluation topographic map of the towers in the gob, which is established in advance, and specifically includes:
step S202-1, establishing a deformation risk evaluation topographic map of the goaf tower, specifically comprising the following steps:
step S202-1-1, obtaining a deformation risk evaluation topographic map of the tower of the goaf by adopting statistical model analysis based on geological data, meteorological data and human activity data of a geographical area where the goaf is pre-collected;
s202-1-2, distinguishing and marking deformation risks of towers in an area along a transmission channel of the goaf in different colors by using a deformation risk evaluation topographic map of the initial tower of the goaf;
s202-2, classifying by adopting a natural discontinuity method based on a goaf ground surface deformation rate field to obtain a deformation rate interval of towers in an area along a goaf power transmission channel;
step S202-3, determining deformation risk correction values of towers in the area along the goaf transmission channel based on the deformation rate interval of the towers in the area along the goaf transmission channel in the step S202-2;
and S202-4, modifying the deformation risk of the tower in the area along the transmission channel of the goaf into a color corresponding to the modification value according to the deformation risk modification value on the deformation risk evaluation topographic map of the tower in the goaf.
Example 3:
the embodiment of the invention also provides a goaf extra-high voltage transmission tower deformation monitoring system, as shown in fig. 4, the system comprises: the system comprises a data acquisition module, an image processing module and an analysis monitoring module;
the data acquisition module is used for acquiring radar image data of the extra-high voltage transmission tower in the goaf;
the image processing module is used for carrying out image registration and differential interference processing on the image data of the extra-high voltage transmission tower radar in the goaf to obtain differential interference data;
and the analysis monitoring module is used for obtaining the linear deformation and the nonlinear deformation phase of the goaf based on the differential interference data and obtaining a goaf surface deformation rate field according to the nonlinear deformation phase and the linear deformation.
Wherein, image processing module includes: an image registration unit and a differential interference unit;
the image registration unit is used for carrying out image registration processing according to the image data of the extra-high voltage transmission tower radar in the goaf and transmitting the registered image to the differential interference unit;
and the differential interference unit is used for performing differential interference processing on the registered images, and eliminating the terrain phase and the flat ground phase related to the space baseline to obtain differential interference data.
Wherein, analysis monitoring module includes: the device comprises a PS point selecting unit, a phase separating unit and a deformation confirming unit;
a PS point selecting unit for selecting a PS point for phase estimation based on the differential interference data;
the phase separation unit is used for carrying out phase estimation and atmospheric phase separation according to the PS point to obtain the linear deformation and nonlinear deformation phases of the goaf;
and the deformation confirming unit is used for adding the nonlinear deformation phase and the linear deformation to obtain a goaf surface deformation rate field.
Example 4:
an embodiment of the present invention further provides a goaf tower deformation risk evaluation system, as shown in fig. 5, the system includes: the system comprises a deformation monitoring module and a risk evaluation analysis module;
the deformation monitoring module is used for obtaining a goaf surface deformation rate field according to a goaf extra-high voltage transmission tower deformation monitoring method;
and the risk evaluation analysis module is used for carrying out tower deformation risk evaluation on towers in the area along the transmission channel of the goaf according to the ground surface deformation rate field of the goaf, and displaying the evaluation result on a pre-established deformation risk evaluation topographic map of the towers in the goaf.
Wherein, risk evaluation analysis module includes: a risk evaluation topographic map unit and a correction unit;
the risk evaluation topographic map unit is used for obtaining a deformation risk evaluation topographic map of the tower of the goaf by adopting statistical model analysis based on geological data, meteorological data and human activity data of a geographical area where the goaf is located, and distinguishing and marking deformation risks of the tower of the area along the transmission channel of the goaf on the risk evaluation topographic map by different colors;
and the correction unit is used for determining a deformation risk correction value of the tower in the area along the transmission channel of the goaf based on the goaf ground surface deformation rate field of the deformation monitoring module, and correcting the pre-established deformation risk evaluation topographic map of the tower of the goaf by using the deformation risk correction value.
Example 5:
1. identification technology for coherence extra-high voltage transmission tower
The extra-high voltage transmission tower is a mesh body consisting of angle steel and members, the tower body and the cross arm are made of metal, and the extra-high voltage transmission tower has strong backscattering characteristics in an SAR image due to the characteristics, so that the structure of a tower target is very clear on the image, part of tower bases and the ground form an angle reflection effect, strong echoes are generated, and a bright area is formed on the image.
Firstly, the target characteristics and the target identification technology of the extra-high voltage tower in the high-resolution SAR image are researched, and the tower target detection is carried out by selecting a peak detection algorithm according to the characteristic that the brightness of the tower target in the SAR image is far higher than the background clutter and the probability that the pixel with lower brightness is the target pixel is lower. The target characteristics of the extra-high voltage tower in the high-resolution SAR image are reflected as a series of bright spots, and a geometric structure which is formed by combining bright lines with a certain width and corresponds to a tower shape. The method comprises the steps that the extra-high voltage transmission towers on the high-resolution SAR image are represented by structural information, and the spatial distribution of the transmission towers on the SAR image is determined through extraction of information such as geometric structures, spatial topological relations and textural features of the transmission towers.
2. Deformation mode of goaf tower
And (3) researching a deformation mode of the goaf, and analyzing the influence of the spatial position of the tower relative to the goaf on the deformation of the tower. The ground surface subsides in the goaf, causes the uneven settlement of the transmission line tower foundation in the area, leads to the tower slope, displacement and deformation, causes the change of the internal stress of the tower. After the goaf is excavated and removed, because the stress on the ground surface layer is too large, when the stress is exceeded the allowable bearing force, the ground surface layer is broken and sinks, the settlement near the middle of the goaf is large, the settlement at the edge is small, and the settlement generally changes irregularly section by section along the roadway, so that the uneven settlement is caused.
The various forms of the tower positioned in the goaf are summarized into two forms: the first is located in the middle of a goaf, and generally comprises foundation sinking, adduction and tower body deformation; the second is that the tower body is positioned at the edge of the goaf, one side of the goaf sinks more and slides down towards the valley bottom, and the tower body deforms. When the foundation is unevenly settled, the tower can generate two reactions, one is that the tower has certain rigidity due to the static structure design of the tower, so that the tower can move and rotate along with the foundation as a rigid body, and the structure of the tower is not damaged. The other is that due to the elastic characteristic of the tower material and when the stress exceeds the elastic limit of the tower material, the tower is changed in geometric shape to adapt to the settlement of the foundation, and then the structure of the tower is damaged, and the stress of each node is changed.
3. Long time sequence interference measurement goaf extra-high voltage transmission tower deformation monitoring method
The deformation monitoring of the goaf extra-high voltage transmission tower is carried out by adopting a long-time-sequence interferometry, and the long-time-sequence InSAR analysis technology carries out parameter estimation on the phase statistical characteristics of multi-time-sequence SAR data, so that errors caused by factors such as atmospheric delay, DEM (digital elevation model) and low coherence in an interference phase can be effectively reduced, and deformation information on the goaf and the transmission tower can be acquired with high precision.
The main technical process of monitoring the deformation of the extra-high voltage transmission tower in the goaf by long time sequence interferometry is shown in figure 3, and the process is as follows:
(1) image registration and differential interference processing: noise caused by signal emission and the like is eliminated through radiometric calibration of the SAR image, and a proper main image is selected according to three indexes of a space baseline, a Doppler centroid difference and a time baseline. And re-sampling the rest N-1 SAR images to the main image space to complete the registration of the homonymous image points among all the SAR images. And performing interference processing on the registered images, and eliminating the terrain phase and the flat ground phase related to the space baseline to form differential interference data for subsequent time series analysis.
(2) Selecting a PS point: and setting a proper threshold value by adopting an amplitude dispersion method or a coherence coefficient method, and extracting the PS point with high stability and high coherence.
High stability and high coherence refer to points where the phase can remain stable over a large time interval (months to years), such as buildings, etc., the position of which does not change over time.
(3) Phase estimation: and (3) constructing an irregular triangular network, applying a periodogram and a quality chart, performing phase unwrapping by using a minimum cost flow method, solving linear deformation and elevation errors by regression analysis, correcting the elevation errors by using an initial DEM (digital elevation model) model for iterative solution, and finally obtaining the linear deformation, the terrain errors and the residual phases.
(4) And (3) atmospheric phase separation: because the atmospheric phase is high frequency in a time domain and low frequency in a space domain, the nonlinear deformation phase, the atmospheric phase and the noise phase are separated by a filtering method.
(5) And (3) extraction of a deformation field: and adding the nonlinear deformation phase and the linear deformation to obtain a final deformation rate field of the earth surface.
4. Evaluation and analysis of tower deformation risk
The radar scattering characteristics of the extra-high voltage transmission tower and the imaging characteristics of the net-shaped tower structure are researched, a novel technical theory of remote sensing and ground monitoring is effectively integrated, and tower target detection and identification are carried out in a high-resolution radar image. And analyzing the spatial distribution of the deformation field of the whole goaf by utilizing the ground surface deformation rate field obtained in the last step, extracting the deformation information and the characteristics of the target scatterer of the long-time sequence transmission tower, combining the data of geological structures, topographic features and the like along the transmission line, and analyzing the deformation of the tower according to the spatial position distribution of the tower on the SAR image, thereby determining the deformation mode on the tower. The deformation characteristics of the extra-high voltage transmission tower are extracted by utilizing an SAR target recognition and extraction technology in combination with the goaf deformation mode and the relative position relation between the tower and the goaf, the feasibility of monitoring the deformation of the tower by utilizing a high-resolution SAR image is verified, tower deformation risk evaluation and early recognition are realized, the change of the monitored tower and surrounding terrain is determined, and the basis risk evaluation criterion of the extra-high voltage transmission tower is established.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (15)
1. A method for monitoring deformation of an extra-high voltage transmission tower in a goaf is characterized by comprising the following steps:
obtaining a linear deformation phase and a nonlinear deformation phase of a goaf based on image data of the goaf ultra-high voltage transmission tower synthetic aperture radar by adopting a long time sequence interference radar measurement method;
and obtaining the goaf surface deformation rate field based on the nonlinear deformation phase and the linear deformation.
2. The method according to claim 1, wherein the analyzing the goaf linear deformation and nonlinear deformation phases based on goaf UHV transmission tower synthetic aperture radar image data comprises:
carrying out image registration and differential interference processing on the image data of the synthetic aperture radar of the extra-high voltage transmission tower in the goaf to obtain differential interference data;
selecting a PS point for phase estimation based on the differential interference data, and performing phase estimation and atmospheric phase separation according to the PS point to obtain a linear deformation phase and a nonlinear deformation phase of the goaf;
wherein the PS is a permanent scatterer.
3. The method according to claim 2, wherein the image registration and differential interference processing are performed on the image data of the goaf ultra-high voltage transmission tower synthetic aperture radar to obtain differential interference data, and the method comprises the following steps:
eliminating noise caused by signal transmission by radiometric calibration of the synthetic aperture radar image data, and selecting a main image from the goaf ultra-high voltage transmission tower radar image data according to a space baseline, a Doppler centroid difference and a time baseline;
resampling the other images except the main image to a main image space to complete the registration of the same-name image points among the images;
and carrying out differential interference processing on the registered images, and eliminating the terrain phase and the flat ground phase related to the space baseline to obtain differential interference data.
4. The method of claim 2, wherein the selecting the PS points for phase estimation based on the differential interference data comprises:
and extracting a PS point for phase estimation from the differential interference data by adopting an amplitude dispersion method or a coherence coefficient method based on a preset threshold value.
5. The method of claim 2, wherein performing phase estimation and atmospheric phase separation based on the PS points to obtain phases of linear deformation and nonlinear deformation of the gob comprises:
constructing an irregular triangular network based on the PS points, and performing phase unwrapping by using a minimum cost flow method by using a periodic diagram and a quality diagram to obtain the real phase of the PS points;
solving linear deformation and elevation errors through regression analysis based on the real phase of the PS point to obtain linear deformation, terrain errors and residual phases of the goaf;
and based on the residual phase, separating by adopting a filtering method to obtain a nonlinear deformation phase, an atmospheric phase and a noise phase in the residual phase.
6. The method of claim 1, wherein deriving the goaf surface deformation rate field based on the nonlinear deformation phase and linear deformation comprises:
and adding the nonlinear deformation phase and the linear deformation to obtain the goaf surface deformation rate field.
7. The utility model provides a collecting space area extra-high voltage transmission tower deformation monitoring system which characterized in that includes: the system comprises a data acquisition module, an image processing module and an analysis monitoring module;
the data acquisition module is used for acquiring radar image data of the extra-high voltage transmission tower in the goaf;
the image processing module is used for carrying out image registration and differential interference processing on the image data of the extra-high voltage transmission tower radar in the goaf to obtain differential interference data;
the analysis monitoring module is used for obtaining the linear deformation and the nonlinear deformation phase of the goaf based on the differential interference data and obtaining the goaf surface deformation rate field according to the nonlinear deformation phase and the linear deformation.
8. The system of claim 7, wherein the image processing module comprises: an image registration unit and a differential interference unit;
the image registration unit is used for carrying out image registration processing according to the image data of the extra-high voltage transmission tower radar in the goaf and transmitting the registered image to the differential interference unit;
and the differential interference unit is used for performing differential interference processing on the registered images, and eliminating the terrain phase and the flat ground phase related to the spatial baseline to obtain differential interference data.
9. The system of claim 7, wherein the analysis monitoring module comprises: the device comprises a PS point selecting unit, a phase separating unit and a deformation confirming unit;
the PS point selecting unit is used for selecting a PS point for phase estimation based on the differential interference data;
the phase separation unit is used for carrying out phase estimation and atmospheric phase separation according to the PS point to obtain the linear deformation phase and the nonlinear deformation phase of the goaf;
and the deformation confirming unit is used for adding the nonlinear deformation phase and the linear deformation to obtain the goaf earth surface deformation rate field.
10. A deformation risk evaluation method for a goaf tower is characterized by comprising the following steps:
obtaining a goaf earth surface deformation rate field according to the goaf extra-high voltage transmission tower deformation monitoring method of claims 1 to 6;
and based on the goaf ground surface deformation rate field, carrying out tower deformation risk evaluation on towers in the area along the goaf power transmission channel, and displaying the evaluation result on a pre-established goaf tower deformation risk evaluation topographic map.
11. The method of claim 10, wherein the establishing of the goaf tower deformation risk assessment topographic map comprises:
analyzing by adopting a statistical model to obtain a deformation risk evaluation topographic map of the tower of the goaf based on geological data, meteorological data and human activity data of a geographical area where the goaf is pre-collected;
and the deformation risk evaluation topographic map of the initial tower of the gob distinguishes and marks the deformation risk of the tower in the area along the transmission channel of the gob by different colors.
12. The method of claim 10, wherein the performing tower deformation risk evaluation on towers in an area along the goaf transmission channel based on the goaf ground surface deformation rate field and displaying the evaluation result on a pre-established goaf tower deformation risk evaluation topographic map comprises:
based on the goaf surface deformation rate field, classifying by adopting a natural discontinuity method to obtain a deformation rate interval of regional towers along the goaf power transmission channel;
determining a deformation risk correction value of a tower in an area along the transmission channel of the goaf based on the deformation rate interval;
and correcting the pre-established deformation risk evaluation topographic map of the tower in the gob based on the deformation risk correction value of the tower in the area along the transmission channel in the gob to obtain the corrected deformation risk evaluation topographic map of the tower.
13. The method of claim 12, wherein the modifying the pre-established goaf tower deformation risk assessment topography based on the deformation risk modification values for towers along the goaf power transmission pathways comprises:
and modifying the deformation risk of the tower in the area along the transmission channel of the goaf into a color corresponding to the modification value according to the deformation risk modification value on the deformation risk evaluation topographic map of the tower in the goaf.
14. The utility model provides a gob shaft tower deformation risk evaluation system which characterized in that includes: the system comprises a deformation monitoring module and a risk evaluation analysis module;
the deformation monitoring module is used for obtaining a goaf surface deformation rate field according to a goaf extra-high voltage transmission tower deformation monitoring method;
and the risk evaluation analysis module is used for carrying out tower deformation risk evaluation on towers in an area along the transmission channel of the goaf according to the ground surface deformation rate field of the goaf, and displaying the evaluation result on a pre-established deformation risk evaluation topographic map of the towers in the goaf.
15. The system of claim 14, wherein the risk assessment analysis module comprises: a risk evaluation topographic map unit and a correction unit;
the risk evaluation topographic map unit is used for obtaining a deformation risk evaluation topographic map of the goaf tower by adopting statistical model analysis based on pre-collected geological data, meteorological data and human activity data of the geographic area where the goaf is located, and marking deformation risks of the tower in the area along the goaf power transmission channel on the risk evaluation topographic map in different colors;
the correction unit is used for determining a deformation risk correction value of a tower in an area along the transmission channel of the goaf based on the goaf ground surface deformation rate field of the deformation monitoring module, and correcting a pre-established deformation risk evaluation topographic map of the tower of the goaf by using the deformation risk correction value.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111880210A (en) * | 2020-08-05 | 2020-11-03 | 中国南方电网有限责任公司 | Ground disaster monitoring and processing method and device for power transmission line, early warning system and equipment |
| CN112781557A (en) * | 2020-12-23 | 2021-05-11 | 国网浙江省电力有限公司衢州供电公司 | Power transmission line tower inclination early warning method based on Internet of things |
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2020
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111880210A (en) * | 2020-08-05 | 2020-11-03 | 中国南方电网有限责任公司 | Ground disaster monitoring and processing method and device for power transmission line, early warning system and equipment |
| CN112781557A (en) * | 2020-12-23 | 2021-05-11 | 国网浙江省电力有限公司衢州供电公司 | Power transmission line tower inclination early warning method based on Internet of things |
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