CN111695506A - Wind-induced foreign matter short-circuit fault early warning method and system for power transmission line - Google Patents
Wind-induced foreign matter short-circuit fault early warning method and system for power transmission line Download PDFInfo
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Abstract
The invention discloses a wind-induced foreign matter short-circuit fault early warning method and a system for a power transmission line, wherein the method comprises the following steps: step 1: collecting historical wind-induced fault foreign matter short-circuit image information, and distinguishing and marking according to faults and non-faults; step 2: performing image processing on the historical image, extracting power grid foreign matter short-circuit characteristics from the processed historical image, and establishing a typical wire foreign matter comparison map library aiming at the power grid foreign matter short-circuit characteristics; and step 3: establishing a channel hidden danger distribution geographical map according to the line importance degree, the geographical characteristics and the grid wind area distribution map, and dividing hidden danger area types; and 4, step 4: acquiring real-time visual channel image information of the power transmission line, and identifying foreign matters in the real-time visual channel image; and 5: and early warning is carried out on the foreign matters of the power transmission line, and early warning information is pushed to a person responsible for the power transmission line. The invention realizes early warning and real-time warning of wind-induced foreign matter short circuit.
Description
Technical Field
The invention relates to a wind-induced foreign matter short-circuit fault early warning method and system for a power transmission line, and belongs to the technical field of operation and maintenance of overhead power transmission lines.
Background
The overhead transmission line operates in the field all the year round, is greatly influenced by external natural conditions, is very easy to cause tripping faults under extreme meteorological conditions such as thunderstorms, typhoons, freezing rain and the like, influences the reliability of power supply, even can cause large-area long-time power failure accidents of a power grid under special conditions, brings huge loss to a power system due to transmission line faults caused by wind disasters, and brings great inconvenience to production and life.
The short circuit of the wind-induced foreign matters of the wires becomes an important factor for restricting the safe and stable operation of the power grid lines. Foreign matters causing the short circuit trip of the foreign matters of the power transmission line comprise objects with large surface areas, such as greenhouse plastic cloth, mulching films, reflective films, balloons, sun-screening nets, advertising cloth, aluminum foil paper and the like, and the foreign matters can be easily blown onto the power transmission line along with wind.
At present, many mature patents such as patents CN201510649241.3, CN201510650481.5, and CN201610661214.2 propose foreign object type detection method on power transmission line, aerial foreign object image recognition method based on unmanned aerial vehicle, and wire foreign object cleaning device, but the above patents basically realize foreign object recognition based on simple image recognition method. At present, the device can accurately identify two main external damage factors of a crane and construction machinery by simply depending on a visual monitoring device, the accuracy rate of identifying foreign matters of a wire is low, and the whole work needs to be further improved.
Therefore, how to establish a complete set of judgment and analysis method for the short-circuit fault of the wind-induced foreign matter is very important.
Disclosure of Invention
In order to solve the problems, the invention provides a wind-induced foreign matter short-circuit fault early warning method and system for a power transmission line, which can realize early warning and real-time warning of wind-induced foreign matter short circuit, can restrain potential channel hidden trouble faults in advance and provide basic information support for fault analysis, and protect driving of safe and stable operation of a power transmission line of a power grid.
The technical scheme adopted for solving the technical problems is as follows:
on one hand, the wind-induced foreign matter short-circuit fault early warning method for the power transmission line provided by the embodiment of the invention comprises the following steps:
step 1: collecting historical wind-induced fault foreign body short-circuit image information, and distinguishing and marking the historical visual channel images according to faults and non-faults;
step 2: sequentially carrying out graying processing, histogram calculation, image enhancement and noise point filtering processing on the historical image, extracting power grid foreign matter short-circuit characteristics from the processed historical image by adopting a Hough algorithm and an inchworm creeping fusion method, and establishing a typical wire foreign matter comparison map library aiming at the power grid foreign matter short-circuit characteristics;
and step 3: establishing a channel hidden danger distribution geographical map according to the line importance degree, the geographical characteristics and the grid wind area distribution map, and dividing hidden danger area types;
and 4, step 4: acquiring real-time visual channel image information of the power transmission line, and identifying foreign matters in the real-time visual channel image by adopting the method from the step 1 to the step 3;
and 5: and early warning is carried out on the foreign matters of the power transmission line, and early warning information is pushed to a person responsible for the power transmission line.
As a possible implementation manner of this embodiment, the typical wire foreign matter comparison gallery includes a plastic film comparison gallery, a reflective film comparison gallery, a kite comparison gallery, a balloon comparison gallery and other foreign matter comparison galleries.
As a possible implementation manner of this embodiment, the historical visualization channel image and the real-time visualization channel image each include a spring typical channel image, a summer typical channel image, an autumn typical channel image, and a winter typical channel image, a background color of the spring typical channel image is withered yellow or bright green, a background of the summer typical channel image is green with a uniform color, a background color of the autumn typical channel image is a mixed color, and a background color of the winter typical channel image is yellow or white.
As a possible implementation manner of this embodiment, the step 2 specifically includes:
edge extraction is carried out by adopting a Canny method, Hough transformation is realized according to a straight line Hough transformation formula, and after a maximum Hough value is found and a threshold value is set, inverse transformation is carried out to an image RGB value space, so that an image value after Hough transformation is obtained;
and setting an origin coordinate in the image by adopting an inchworm crawling algorithm, determining an initial searching point of the wire, selecting along the searching direction of the wire, determining the characteristics of the wire, and obtaining an accurate wire recognition image.
As a possible implementation manner of this embodiment, the importance degree of the line includes an extra-high voltage/trans-regional line, a mountain area line, a power protection line, a three-span line, a 220kV and above important same-tower multi-circuit line and a general line; the geographic features comprise greenhouse areas, refuse dumps, temporary building areas and other areas; the distribution diagram of the grid wind zone is three types of distribution diagrams of the grid wind zone in 30 years, 50 years and 100 years.
As a possible implementation manner of this embodiment, the step 4 specifically includes:
acquiring real-time visual channel image information of the power transmission line;
carrying out coincidence comparison on the non-fault image and the real-time visual channel image, and screening out a fault image;
and determining the suspected foreign matter type on the wire by using the typical wire foreign matter comparison gallery and the geographic characteristics of the region to which the line belongs.
As a possible implementation manner of this embodiment, the method further includes the following steps:
step 6: collecting the on-site meteorological data of the power transmission line, judging the wind speed of the area where the power transmission line is located by combining the meteorological data of meteorological departments of the area of the power transmission line, and setting the wind-induced foreign matter short circuit risk early warning level according to the meteorological wind speed and the surrounding geographical position characteristics.
As a possible implementation manner of this embodiment, the step 6 specifically includes:
acquiring microclimate data near a tower on the site of the power transmission line and meteorological data of a local meteorological department;
judging the wind speed of the area where the line is located, and dividing the wind speed into three grades of clear wind, strong wind and strong wind;
and judging the level of the short circuit of the wind-induced conducting wire by combining the wind speed and the early warning of the characteristics of the area to which the line belongs.
On the other hand, the wind-induced foreign matter short-circuit fault early warning system provided by the embodiment of the invention comprises:
the fault distinguishing module is used for collecting historical wind-induced fault foreign body short-circuit image information and distinguishing and marking the historical visual channel images according to faults and non-faults;
the characteristic extraction module is used for sequentially carrying out graying processing, histogram calculation, image enhancement and noise point filtering processing on the historical image, extracting the foreign matter short-circuit characteristic of the power grid on the processed historical image by adopting a Hough algorithm and an inchworm creeping fusion method, and establishing a typical wire foreign matter comparison map library aiming at the foreign matter short-circuit characteristic of the power grid;
the type division module is used for establishing a channel hidden danger distribution geographical map according to the line importance degree, the geographical characteristics and the grid wind zone distribution map and dividing hidden danger area types;
the foreign matter identification module is used for acquiring real-time visual channel image information of the power transmission line and identifying foreign matters in the real-time visual channel image;
and the early warning module is used for early warning the foreign matters of the power transmission line and pushing early warning information to a person responsible for the power transmission line.
As a possible implementation manner of this embodiment, the typical wire foreign matter comparison gallery includes a plastic film comparison gallery, a reflective film comparison gallery, a kite comparison gallery, a balloon comparison gallery and other foreign matter comparison galleries.
As a possible implementation manner of this embodiment, the historical visualization channel image and the real-time visualization channel image each include a spring typical channel image, a summer typical channel image, an autumn typical channel image, and a winter typical channel image, a background color of the spring typical channel image is withered yellow or bright green, a background of the summer typical channel image is green with a uniform color, a background color of the autumn typical channel image is a mixed color, and a background color of the winter typical channel image is yellow or white.
As a possible implementation manner of this embodiment, the feature extraction module is specifically configured to:
edge extraction is carried out by adopting a Canny method, Hough transformation is realized according to a straight line Hough transformation formula, and after a maximum Hough value is found and a threshold value is set, inverse transformation is carried out to an image RGB value space, so that an image value after Hough transformation is obtained;
and setting an origin coordinate in the image by adopting an inchworm crawling algorithm, determining an initial searching point of the wire, selecting along the searching direction of the wire, determining the characteristics of the wire, and obtaining an accurate wire recognition image.
As a possible implementation manner of this embodiment, the importance degree of the line includes an extra-high voltage/trans-regional line, a mountain area line, a power protection line, a three-span line, a 220kV and above important same-tower multi-circuit line and a general line; the geographic features comprise greenhouse areas, refuse dumps, temporary building areas and other areas; the distribution diagram of the grid wind zone is three types of distribution diagrams of the grid wind zone in 30 years, 50 years and 100 years.
As a possible implementation manner of this embodiment, the foreign object identification module is specifically configured to:
acquiring real-time visual channel image information of the power transmission line;
carrying out coincidence comparison on the non-fault image and the real-time visual channel image, and screening out a fault image;
and determining the suspected foreign matter type on the wire by using the typical wire foreign matter comparison gallery and the geographic characteristics of the region to which the line belongs.
As a possible implementation manner of this embodiment, the system further includes:
and the risk early warning module is used for acquiring the field meteorological data of the power transmission line, judging the wind speed of the area where the power transmission line is located by combining the meteorological data of the meteorological department in the area of the power transmission line, and setting the wind-induced foreign matter short circuit risk early warning level according to the meteorological wind speed and the peripheral geographical position characteristics.
As a possible implementation manner of this embodiment, the risk early warning module is specifically configured to:
acquiring microclimate data near a tower on the site of the power transmission line and meteorological data of a local meteorological department;
judging the wind speed of the area where the line is located, and dividing the wind speed into three grades of clear wind, strong wind and strong wind;
and judging the level of the short circuit of the wind-induced conducting wire by combining the wind speed and the early warning of the characteristics of the area to which the line belongs.
The technical scheme of the embodiment of the invention has the following beneficial effects:
in order to overcome the defects that the foreign matter of the wire is identified only by depending on the traditional image or the aerial image of the unmanned aerial vehicle and the comprehensive early warning and analysis judgment cannot be carried out by combining the hidden danger information of the channel, the invention combines the information of a historical wind-induced fault scene picture, a four-season typical channel visual image, a short-circuit fault picture of the foreign matter of the wire and the like, and carries out the wire detection based on the combination of the Hough transformation and the inchworm creeping method, thereby establishing a typical short-circuit picture library of the foreign matter of the wire; establishing a hidden danger area classification method and a channel hidden danger distribution geographical map according to the importance degree of a line, geographical characteristics and a power grid wind area distribution map on the basis of the existing visual monitoring device, the line microclimate monitoring device and meteorological data of a meteorological department; through the combination of real-time visual images in the channel and the information of the hidden danger of the area, the conducting wire is analyzed and judged in real time to determine whether suspected foreign matters and foreign matter types exist or not, and an alarm is given in real time; and the three-level risk early warning of the wind-induced foreign matter short circuit is realized by combining the meteorological information comprehensive wind speed and the hidden danger distribution diagram of the channel in the region. The method comprehensively considers the influence of multiple factors on the wind-induced foreign matter short circuit of the wire, realizes early warning and real-time warning on the wind-induced foreign matter short circuit, can restrain potential hidden channel trouble faults in advance and provide basic information support for fault analysis, and protects driving and navigating for safe and stable operation of the power grid transmission line.
Compared with the prior art, the invention has the following characteristics:
1) the method fully combines the prior work achievement and system of power grid visual image monitoring, relies on channel visual image information acquired in three years and fault information acquired in 10 years as sample training, and establishes a channel comparison gallery and a five-class lead foreign matter comparison gallery based on the typical background conditions of spring, summer, autumn and winter;
2) a high-precision wire detection algorithm fusing a Hough algorithm and an inchworm crawling algorithm is introduced, and the two algorithms are mutually complemented and fused, so that the accuracy rate of wire identification is improved;
3) establishing a channel hidden danger distribution geographical map according to the importance degree of a line, and providing a wind-induced foreign matter short circuit risk early warning and real-time warning method integrating meteorological information, visual images, wind area maps and geographical feature information fusion, wherein the method has higher accuracy in judging and analyzing the wind-induced fault short circuit by performing early risk notification and real-time warning on the wind-induced fault short circuit;
4) the method is simple to use, high in feasibility and high in prediction precision, and can provide reference for judging the wind-induced foreign body short circuit fault of the line operation and maintenance department.
Description of the drawings:
fig. 1 is a flowchart illustrating a method for early warning of a wind-induced foreign object short-circuit fault of a power transmission line according to an exemplary embodiment;
FIG. 2 is a block diagram of a wind-induced foreign object short-circuit fault early warning system for a power transmission line according to an exemplary embodiment;
FIG. 3 is a basic image processing flow diagram of the present invention;
fig. 4 is a flow chart of the implementation of the line wind-induced foreign object short-circuit fault early warning analysis according to the present invention.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
in order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
Fig. 1 is a flowchart illustrating a method for early warning of a wind-induced foreign object short-circuit fault of a power transmission line according to an exemplary embodiment. As shown in fig. 1, the method for early warning of a wind-induced foreign object short-circuit fault of a power transmission line provided by the embodiment of the invention includes the following steps:
step 1: collecting historical wind-induced fault foreign body short-circuit image information, and distinguishing and marking the historical visual channel images according to faults and non-faults;
step 2: sequentially carrying out graying processing, histogram calculation, image enhancement and noise point filtering processing on the historical image, extracting power grid foreign matter short-circuit characteristics from the processed historical image by adopting a Hough algorithm and an inchworm creeping fusion method, and establishing a typical wire foreign matter comparison map library aiming at the power grid foreign matter short-circuit characteristics;
and step 3: establishing a channel hidden danger distribution geographical map according to the line importance degree, the geographical characteristics and the grid wind area distribution map, and dividing hidden danger area types;
and 4, step 4: acquiring real-time visual channel image information of the power transmission line, and identifying foreign matters in the real-time visual channel image by adopting the method from the step 1 to the step 3;
and 5: and early warning is carried out on the foreign matters of the power transmission line, and early warning information is pushed to a person responsible for the power transmission line.
As a possible implementation manner of this embodiment, the typical wire foreign matter comparison gallery includes a plastic film comparison gallery, a reflective film comparison gallery, a kite comparison gallery, a balloon comparison gallery and other foreign matter comparison galleries.
As a possible implementation manner of this embodiment, the historical visualization channel image and the real-time visualization channel image each include a spring typical channel image, a summer typical channel image, an autumn typical channel image, and a winter typical channel image, a background color of the spring typical channel image is withered yellow or bright green, a background of the summer typical channel image is green with a uniform color, a background color of the autumn typical channel image is a mixed color, and a background color of the winter typical channel image is yellow or white.
As a possible implementation manner of this embodiment, the step 2 specifically includes:
edge extraction is carried out by adopting a Canny method, Hough transformation is realized according to a straight line Hough transformation formula, and after a maximum Hough value is found and a threshold value is set, inverse transformation is carried out to an image RGB value space, so that an image value after Hough transformation is obtained;
and setting an origin coordinate in the image by adopting an inchworm crawling algorithm, determining an initial searching point of the wire, selecting along the searching direction of the wire, determining the characteristics of the wire, and obtaining an accurate wire recognition image.
As a possible implementation manner of this embodiment, the importance degree of the line includes an extra-high voltage/trans-regional line, a mountain area line, a power protection line, a three-span line, a 220kV and above important same-tower multi-circuit line and a general line; the geographic features comprise greenhouse areas, refuse dumps, temporary building areas and other areas; the distribution diagram of the grid wind zone is three types of distribution diagrams of the grid wind zone in 30 years, 50 years and 100 years.
As a possible implementation manner of this embodiment, the step 4 specifically includes:
acquiring real-time visual channel image information of the power transmission line;
carrying out coincidence comparison on the non-fault image and the real-time visual channel image, and screening out a fault image;
and determining the suspected foreign matter type on the wire by using the typical wire foreign matter comparison gallery and the geographic characteristics of the region to which the line belongs.
As a possible implementation manner of this embodiment, the method further includes the following steps:
step 6: collecting the on-site meteorological data of the power transmission line, judging the wind speed of the area where the power transmission line is located by combining the meteorological data of meteorological departments of the area of the power transmission line, and setting the wind-induced foreign matter short circuit risk early warning level according to the meteorological wind speed and the surrounding geographical position characteristics.
As a possible implementation manner of this embodiment, the step 6 specifically includes:
acquiring microclimate data near a tower on the site of the power transmission line and meteorological data of a local meteorological department;
judging the wind speed of the area where the line is located, and dividing the wind speed into three grades of clear wind, strong wind and strong wind;
and judging the level of the short circuit of the wind-induced conducting wire by combining the wind speed and the early warning of the characteristics of the area to which the line belongs.
Fig. 2 is a structural diagram illustrating a wind-induced foreign object short-circuit fault early warning system for a power transmission line according to an exemplary embodiment. As shown in fig. 2, an early warning system for a wind-induced foreign object short-circuit fault of a power transmission line provided in an embodiment of the present invention includes:
the fault distinguishing module is used for collecting historical wind-induced fault foreign body short-circuit image information and distinguishing and marking the historical visual channel images according to faults and non-faults;
the characteristic extraction module is used for sequentially carrying out graying processing, histogram calculation, image enhancement and noise point filtering processing on the historical image, extracting the foreign matter short-circuit characteristic of the power grid on the processed historical image by adopting a Hough algorithm and an inchworm creeping fusion method, and establishing a typical wire foreign matter comparison map library aiming at the foreign matter short-circuit characteristic of the power grid;
the type division module is used for establishing a channel hidden danger distribution geographical map according to the line importance degree, the geographical characteristics and the grid wind zone distribution map and dividing hidden danger area types;
the foreign matter identification module is used for acquiring real-time visual channel image information of the power transmission line and identifying foreign matters in the real-time visual channel image;
and the early warning module is used for early warning the foreign matters of the power transmission line and pushing early warning information to a person responsible for the power transmission line.
As a possible implementation manner of this embodiment, the typical wire foreign matter comparison gallery includes a plastic film comparison gallery, a reflective film comparison gallery, a kite comparison gallery, a balloon comparison gallery and other foreign matter comparison galleries.
As a possible implementation manner of this embodiment, the historical visualization channel image and the real-time visualization channel image each include a spring typical channel image, a summer typical channel image, an autumn typical channel image, and a winter typical channel image, a background color of the spring typical channel image is withered yellow or bright green, a background of the summer typical channel image is green with a uniform color, a background color of the autumn typical channel image is a mixed color, and a background color of the winter typical channel image is yellow or white.
As a possible implementation manner of this embodiment, the feature extraction module is specifically configured to:
edge extraction is carried out by adopting a Canny method, Hough transformation is realized according to a straight line Hough transformation formula, and after a maximum Hough value is found and a threshold value is set, inverse transformation is carried out to an image RGB value space, so that an image value after Hough transformation is obtained;
and setting an origin coordinate in the image by adopting an inchworm crawling algorithm, determining an initial searching point of the wire, selecting along the searching direction of the wire, determining the characteristics of the wire, and obtaining an accurate wire recognition image.
As a possible implementation manner of this embodiment, the importance degree of the line includes an extra-high voltage/trans-regional line, a mountain area line, a power protection line, a three-span line, a 220kV and above important same-tower multi-circuit line and a general line; the geographic features comprise greenhouse areas, refuse dumps, temporary building areas and other areas; the distribution diagram of the grid wind zone is three types of distribution diagrams of the grid wind zone in 30 years, 50 years and 100 years.
As a possible implementation manner of this embodiment, the foreign object identification module is specifically configured to:
acquiring real-time visual channel image information of the power transmission line;
carrying out coincidence comparison on the non-fault image and the real-time visual channel image, and screening out a fault image;
and determining the suspected foreign matter type on the wire by using the typical wire foreign matter comparison gallery and the geographic characteristics of the region to which the line belongs.
As a possible implementation manner of this embodiment, the system further includes:
and the risk early warning module is used for acquiring the field meteorological data of the power transmission line, judging the wind speed of the area where the power transmission line is located by combining the meteorological data of the meteorological department in the area of the power transmission line, and setting the wind-induced foreign matter short circuit risk early warning level according to the meteorological wind speed and the peripheral geographical position characteristics.
As a possible implementation manner of this embodiment, the risk early warning module is specifically configured to:
acquiring microclimate data near a tower on the site of the power transmission line and meteorological data of a local meteorological department;
judging the wind speed of the area where the line is located, and dividing the wind speed into three grades of clear wind, strong wind and strong wind;
and judging the level of the short circuit of the wind-induced conducting wire by combining the wind speed and the early warning of the characteristics of the area to which the line belongs.
In order to better understand the method, a set of complete wind-induced foreign matter short circuit fault judgment and analysis measures are established by establishing a reliable wire foreign matter image identification method, applying a visual monitoring device and meteorological data to realize early warning and real-time warning of foreign matter short circuit under the condition of strong wind weather in combination with the actual operation condition of the Shandong power grid and the existing data.
As shown in fig. 3 and 4, the method fully combines the existing work achievement and system of the Shandong power grid visual image monitoring, relies on channel visual image information acquired in three years and fault information acquired in 10 years as sample training, establishes a channel comparison graph library and five types of wire foreign matter comparison graph libraries under the typical background condition of four seasons of spring, summer, autumn and winter, introduces a high-precision wire detection algorithm fusing a Hough algorithm and an inchworm algorithm, and improves the accuracy of wire identification through mutual complementary fusion of the two algorithms, and specifically comprises the following steps:
collecting pictures of 110kV and above wind-induced foreign matter short-circuit faults of a Shandong power grid for 10 years and image information before and after the wind-induced foreign matter short-circuit faults collected after a first set of visual monitoring device is installed in 2016, marking and distinguishing the image information according to four seasons of spring, summer, autumn and winter, and performing feature extraction according to background colors and background scenes aiming at the characteristics of the Shandong power grid, wherein the background color in spring is withered yellow or bright green, the background in summer is green with uniform color, the background color in autumn is complex (yellow, red, green and the like), and the background color in winter is yellow or white;
step two, image processing and feature extraction, wherein the images are subjected to graying processing, histogram calculation, image enhancement, noise filtering and other processing, so that the effective features of the images are enhanced;
when a wire is identified in a visual image, the wire can be distinguished into a set of a series of discrete points in the image, firstly, a non-fault image collected by a visual monitoring device is preprocessed, edge extraction is carried out by adopting a Canny method, the image with edge information extracted realizes conversion from points to curves according to Hough change of straight lines, each pixel coordinate point (X, Y) is converted to the upper surface of a (rho, theta) curve point, the maximum Hough value is searched, a threshold value P is set, the wire is identified, and finally, the identified image is inversely converted to an image RGB value and is marked, wherein:
ρ＝xcosθ+ysinθ。
on the basis of wide application of the Hough transformation algorithm, the accuracy of the Hough transformation algorithm is influenced by low efficiency and high space occupancy rate, and an inchworm creeping method is introduced to improve the efficiency and the speed of wire identification. According to the approximate position and the recognition result of the lead determined by the Hough method, firstly, setting an origin coordinate in an image and determining an initial lead searching point, then selecting along the lead searching direction, determining the lead characteristics and obtaining an accurate lead recognition image;
and step three, identifying the foreign matters of the wires, namely identifying the foreign matters by dividing the foreign matters into plastic films, reflective films, kites, balloons and other types according to the occurrence frequency of the foreign matters of the wires in nearly 10 years by combining the short circuit characteristic of the power grid in Shandong on the basis of the identification of the wires, and establishing a typical wire foreign matter comparison gallery.
According to the actual operation line condition of the Shandong power grid, a channel hidden danger distribution geographical map is established according to line importance degrees, geographical features and a wind area distribution map, wherein the line importance degrees are divided as shown in table 1, the geographical features comprise greenhouse areas, garbage dumps, temporary building areas and other four regional features, the wind area map is divided into wind area map distribution levels which are met in 30 years, 50 years and 100 years, and the channel hidden dangers comprise special concern hidden danger areas, important hidden danger areas and general hidden danger areas.
Table 1: line importance level partitioning
In the actual use process, the method comprises two methods of wind-induced foreign matter short circuit real-time warning and risk early warning.
The real-time alarm is a channel visual image of a visual monitoring device in an accessed channel, the image in the image basic processing in the figure 3 is adopted to analyze and confirm whether a wire foreign body exists, and if not, the real-time alarm is not given; if the suspected foreign matter of the wire exists, comparing a typical foreign matter map library by combining the hidden danger area type of the area where the wire is located and the type of the foreign matter which possibly appears, confirming the suspected foreign matter of the wire, and pushing the real-time warning information of the judgment result to a person responsible for the wire by a short message and micro message dual mechanism;
the risk early warning is that the wind speed is divided into three grades of clear wind (3-8 m/s), strong wind (8-13.8 m/s) and strong wind (more than 13.8m/s) by combining the microclimate data and the local meteorological department meteorological data which are arranged in the range of 20 base mast towers in the channel and the wind speed characteristics when the short-circuit fault of foreign matters caused by historical wind occurs, wherein the short-circuit fault caused by kites, balloons and the like frequently occurs under the clear wind condition, the short-circuit fault caused by plastic films, advertising boards and the like frequently occurs in the strong wind weather, and the short-circuit fault caused by construction and construction is frequently occurs in the strong wind weather; setting a wind-induced foreign matter risk early warning level by combining the wind speed and the type characteristics of the hidden danger areas, and sending the wind-induced foreign matter risk early warning level to a person responsible for the line by adopting a short message and WeChat dual message pushing mechanism, wherein the risk level division is shown in a table 2;
table 2: risk ranking
On the basis of image background characteristic images in different seasons acquired by a visual monitoring device, a wire detection method based on combination of Hough and inchworm creeping methods is provided, dynamic processing and analysis of images of the visual monitoring device are realized, and a typical wire foreign matter comparison map library is established; establishing a channel hidden danger distribution geographical map by combining the 30-year, 50-year and 100-year wind area distribution maps of the Shandong power grid and the importance degree of the lines; the influence of multiple factors such as visual image information, channel hidden danger distribution maps and meteorological information is integrated, early warning and real-time warning of wind-induced foreign matter short circuits can be achieved, potential channel hidden danger faults can be contained in advance, basic information support is provided for fault analysis, and safe and stable running of power transmission lines of Shandong power grids is protected.
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.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A wind-induced foreign matter short-circuit fault early warning method for a power transmission line is characterized by comprising the following steps:
step 1: collecting historical wind-induced fault foreign body short-circuit image information, and distinguishing and marking the historical visual channel images according to faults and non-faults;
step 2: sequentially carrying out graying processing, histogram calculation, image enhancement and noise point filtering processing on the historical image, extracting power grid foreign matter short-circuit characteristics from the processed historical image by adopting a Hough algorithm and an inchworm creeping fusion method, and establishing a typical wire foreign matter comparison map library aiming at the power grid foreign matter short-circuit characteristics;
and step 3: establishing a channel hidden danger distribution geographical map according to the line importance degree, the geographical characteristics and the grid wind area distribution map, and dividing hidden danger area types;
and 4, step 4: acquiring real-time visual channel image information of the power transmission line, and identifying foreign matters in the real-time visual channel image by adopting the method from the step 1 to the step 3;
and 5: and early warning is carried out on the foreign matters of the power transmission line, and early warning information is pushed to a person responsible for the power transmission line.
2. The early warning method for the wind-induced foreign matter short circuit fault of the power transmission line according to claim 1, wherein the typical wire foreign matter comparison gallery comprises a plastic film comparison gallery, a reflective film comparison gallery, a kite comparison gallery, a balloon comparison gallery and other foreign matter comparison galleries.
3. The method as claimed in claim 2, wherein the historical visual channel image and the real-time visual channel image each include a spring typical channel image, a summer typical channel image, an autumn typical channel image and a winter typical channel image, the background color of the spring typical channel image is withered yellow or bright green, the background color of the summer typical channel image is green with uniform color, the background color of the autumn typical channel image is mixed color, and the background color of the winter typical channel image is yellow or white.
4. The early warning method for the short circuit fault of the wind-induced foreign matter of the power transmission line according to claim 1, wherein the step 2 specifically comprises the following steps:
edge extraction is carried out by adopting a Canny method, Hough transformation is realized according to a straight line Hough transformation formula, and after a maximum Hough value is found and a threshold value is set, inverse transformation is carried out to an image RGB value space, so that an image value after Hough transformation is obtained;
and setting an origin coordinate in the image by adopting an inchworm crawling algorithm, determining an initial searching point of the wire, selecting along the searching direction of the wire, determining the characteristics of the wire, and obtaining an accurate wire recognition image.
5. The early warning method for the wind-induced foreign matter short circuit fault of the power transmission line according to claim 1, wherein the important degrees of the lines comprise extra-high voltage/trans-regional lines, mountain-area lines, power protection lines, three-span lines, 220kV and above important same-tower multi-circuit lines and general lines; the geographic features comprise greenhouse areas, refuse dumps, temporary building areas and other areas; the distribution diagram of the grid wind zone is three types of distribution diagrams of the grid wind zone in 30 years, 50 years and 100 years.
6. The early warning method for the short circuit fault of the wind-induced foreign matter of the power transmission line according to claim 1, wherein the step 4 specifically comprises the following steps:
acquiring real-time visual channel image information of the power transmission line;
carrying out coincidence comparison on the non-fault image and the real-time visual channel image, and screening out a fault image;
and determining the suspected foreign matter type on the wire by using the typical wire foreign matter comparison gallery and the geographic characteristics of the region to which the line belongs.
7. The early warning method for the wind-induced foreign matter short-circuit fault of the power transmission line according to any one of claims 1 to 6, which is characterized by further comprising the following steps of:
step 6: collecting the on-site meteorological data of the power transmission line, judging the wind speed of the area where the power transmission line is located by combining the meteorological data of meteorological departments of the area of the power transmission line, and setting the wind-induced foreign matter short circuit risk early warning level according to the meteorological wind speed and the surrounding geographical position characteristics.
8. The early warning method for the short circuit fault of the wind-induced foreign matter of the power transmission line according to claim 7, wherein the step 6 specifically comprises the following steps:
acquiring microclimate data near a tower on the site of the power transmission line and meteorological data of a local meteorological department;
judging the wind speed of the area where the line is located, and dividing the wind speed into three grades of clear wind, strong wind and strong wind;
and judging the level of the short circuit of the wind-induced conducting wire by combining the wind speed and the early warning of the characteristics of the area to which the line belongs.
9. The utility model provides a transmission line wind-induced foreign matter short-circuit fault early warning system which characterized by includes:
the fault distinguishing module is used for collecting historical wind-induced fault foreign body short-circuit image information and distinguishing and marking the historical visual channel images according to faults and non-faults;
the characteristic extraction module is used for sequentially carrying out graying processing, histogram calculation, image enhancement and noise point filtering processing on the historical image, extracting the foreign matter short-circuit characteristic of the power grid on the processed historical image by adopting a Hough algorithm and an inchworm creeping fusion method, and establishing a typical wire foreign matter comparison map library aiming at the foreign matter short-circuit characteristic of the power grid;
the type division module is used for establishing a channel hidden danger distribution geographical map according to the line importance degree, the geographical characteristics and the grid wind zone distribution map and dividing hidden danger area types;
the foreign matter identification module is used for acquiring real-time visual channel image information of the power transmission line and identifying foreign matters in the real-time visual channel image;
and the early warning module is used for early warning the foreign matters of the power transmission line and pushing early warning information to a person responsible for the power transmission line.
10. The system of claim 9, further comprising:
and the risk early warning module is used for acquiring the field meteorological data of the power transmission line, judging the wind speed of the area where the power transmission line is located by combining the meteorological data of the meteorological department in the area of the power transmission line, and setting the wind-induced foreign matter short circuit risk early warning level according to the meteorological wind speed and the peripheral geographical position characteristics.
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