CN112396585A - Method and system for searching foreign matters in power transmission line - Google Patents
Method and system for searching foreign matters in power transmission line Download PDFInfo
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- CN112396585A CN112396585A CN202011299628.8A CN202011299628A CN112396585A CN 112396585 A CN112396585 A CN 112396585A CN 202011299628 A CN202011299628 A CN 202011299628A CN 112396585 A CN112396585 A CN 112396585A
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Abstract
The invention discloses a method and a system for searching foreign matters in a power transmission line, which relate to the technical field of electric power and power transmission and comprise the following steps: acquiring an image of the power transmission line; performing gray scale processing on the acquired electric transmission line image by adopting a gray scale function, wherein the gray scale function has an accompanying coefficient and a multiplication function for adjusting the color values of red, green and blue of a pixel; and identifying the power transmission line according to the gray-processed image of the power transmission line. According to the invention, the accompanying coefficient and the multiplication function are introduced in the gray level adjustment, so that the phenomenon of line fracture can be avoided in the process of converting the transmission line into the gray level image, the accuracy of the transmission line identification is enhanced, and foreign matters existing on the transmission line are effectively identified.
Description
Technical Field
The invention relates to the technical field of electric power and power transmission, in particular to a method and a system for searching foreign matters in a power transmission line.
Background
The transmission line is common ground building or ground object, distribution range is wide, the background environment is complicated, often discover foreign matter winding such as plastic bag, branch, clew, advertising cloth, plastic sheet in the operation maintenance process, influence the electric wire netting operation safety, simultaneously, some tiny objects are because the volume area is less, have than strong invasion ability, often invade transmission equipment along the transmission line, not only influence the normal power supply of circuit, still can cause the circuit to trip out, lead to the district to have a power failure by a large scale, cause property loss's such as conflagration incident even, moreover burn out the wire that destroys and also probably cause the casualties. Therefore, the fact that tiny foreign matters on the power transmission line are found in time is of great significance to safe operation of the line, the accuracy rate of checking and detecting by means of manpower is high, firstly, manpower is wasted, secondly, the terrain of remote areas is severe and is not suitable for manual participation, and in addition, the fact that the unmanned aerial vehicle shoots pictures and the image recognition method are used for detecting and recognizing the foreign matters is utilized, and the requirement for real-time performance cannot be met.
The foreign matter identification of the power transmission equipment belongs to the field of image classification and target detection, and currently comprises a plurality of detection methods, including neural networks, RCNN series algorithms, convolution hierarchical networks, deep machine learning algorithms and the like. In most cases, in order to accelerate the speed of searching or detecting a foreign object, a color image needs to be converted into a grayscale image, and in the conversion process, due to reasons of complex background, winding of lines, equipment jitter and the like, the converted power transmission line is prone to appear a broken phenomenon in a picture. However, as a result of removing the fracture scene, the fractured power transmission line in the image is generally not repaired, so that the possibility of image reuse is reduced, and the computing resources are wasted to a certain extent.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a method and a system for searching for foreign matters in a power transmission line, wherein the accompanying coefficient and the multiplication function are introduced in the gray level adjustment, so that the phenomenon of line fracture can be avoided in the process of converting the power transmission line into a gray level image, the accuracy of power transmission line identification is enhanced, and the foreign matters existing on the power transmission line are effectively identified.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a method for searching foreign matters in a power transmission line comprises the following steps:
acquiring an image of the power transmission line;
performing gray scale processing on the acquired electric transmission line image by adopting a gray scale function, wherein the gray scale function has an accompanying coefficient and a multiplication function for adjusting the color values of red, green and blue of a pixel;
and identifying the power transmission line according to the gray-processed image of the power transmission line.
The method for searching for the foreign object in the power transmission line further includes:
I(x)＝0.229R(x)+0.587G(x)+0.114B(x)+ccom*f(R(x),G(x),B(x))
in the formula, ccomIs the adjoint factor, R (x), G (x), B (x) are the red, green, blue color values of the pixel, f (R (x), G (x), B (x)) is the multiplication function, wherein the multiplication function is:
the method for searching for the foreign object in the power transmission line further comprises, after identifying the power transmission line according to the generated grayscale image:
determining a base plane and a shooting baseline of the transmission line image subjected to gray processing, estimating the pixel diameter of the transmission line on the shooting baseline, and taking the pixel diameter as a threshold value of the pixel diameter of the transmission line;
and searching whether the diameter singular points larger than the threshold value exist on the transmission line image subjected to gray processing, and determining the diameter singular points larger than the threshold value as foreign matters on the transmission line.
An apparatus for searching for a foreign object on a power transmission line, comprising:
an image acquisition module: the system is used for acquiring an image of the power transmission line;
a gray level operation module: the gray scale processing system is used for performing gray scale processing on the acquired electric transmission line image by adopting a gray scale function, wherein the gray scale function is provided with an accompanying coefficient and a multiplication function which are used for adjusting the color values of red, green and blue of a pixel; and the number of the first and second groups,
a transmission line identification module: the method is used for identifying the power transmission line according to the gray-processed image of the power transmission line.
The device for searching for the foreign object in the power transmission line further includes, in the grayscale calculation module, the grayscale function is:
I(x)＝0.229R(x)+0.587G(x)+0.114B(x)+ccom*f(R(x),G(x),B(x))
in the formula, ccomIs the adjoint factor, R (x), G (x), B (x) are the red, green, blue color values of the pixel, f (R (x), G (x), B (x)) is the multiplication function, wherein the multiplication function is:
the device for searching for the foreign object on the power transmission line further comprises a foreign object searching module, wherein the foreign object searching module is used for receiving the identified power transmission line from the power transmission line identification module and searching for the foreign object on the identified power transmission line.
The device for searching for the foreign object in the power transmission line further comprises:
base plane and baseline determination submodule: which is used for determining a base plane of the transmission line image subjected to the gray processing and a camera shooting base line,
a threshold calculation submodule: estimating the pixel diameter of the power transmission line on the shooting baseline, and taking the pixel diameter as a threshold value of the pixel diameter of the power transmission line; and the number of the first and second groups,
micro foreign matter discovery submodule: the method is used for searching whether the diameter singular points larger than the threshold value exist on the transmission line image subjected to gray processing, and the diameter singular points larger than the threshold value are determined as foreign matters on the transmission line.
Compared with the prior art, the invention has the beneficial effects that: according to the method, the accompanying coefficient and the multiplication function are introduced in the gray level adjustment, and from the actual effect, the condition of line fracture can be effectively eliminated by introducing the accompanying coefficient and the multiplication function, so that the phenomenon of line fracture can be avoided as much as possible in the process of converting the transmission line into the gray level image, the accuracy of the transmission line identification is enhanced, and the tiny foreign matters existing on the transmission line can be effectively identified.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of the method steps of an exemplary embodiment of the present invention;
fig. 2 is a schematic diagram of an implementation apparatus of an exemplary embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the 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 application.
Example (b):
it should be noted that the terms "comprises" and "comprising," and any variations thereof, of embodiments of the present invention are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise. Furthermore, unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, as they may be fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1-2, fig. 1 is a schematic diagram of method steps in an exemplary embodiment of the invention; fig. 2 is a schematic diagram of an implementation apparatus of an exemplary embodiment of the present invention.
The invention obtains the image of the power transmission line from the camera equipment, and performs gray level operation on the obtained image of the power transmission line by adopting the gray level function, and the gray level function is added with the accompanying coefficient and the multiplication function.
The following steps are taken as an example to explain an embodiment of the method for searching for the foreign object in the power transmission line, as shown in fig. 1.
Step 101: and acquiring an image of the power transmission line. The acquisition method may be a relatively mature method in the prior art, such as aerial monitoring, crawling robot, mobile camera, fixed camera, etc., and usually the whole video is taken as a frame sequence, and each frame forms each image. Under the condition of considering rapid identification, the method of the invention can realize the search of foreign matters on the power transmission line under the condition of static images. And intercepting the shot video into each image or a directly shot static image, and sending the image into a processing device for processing in the next step.
Step 102: and performing gray scale operation on the acquired electric transmission line image by adopting a gray scale function, wherein the gray scale function is added with an accompanying coefficient and a multiplication function and is used for adjusting the red, green and blue color values of the pixels. Generally, color feature information has no meaning, and the data size is very large, and the processing speed shows a decrease in geometric level compared to a grayscale image, so in foreign object search or identification of a power transmission line, grayscale image processing is generally adopted.
A common RGB color image gray scale conversion formula is as follows:
I(x)＝0.229R(x)+0.587G(x)+0.114B(x) (1)
wherein R (x), G (x), B (x) are the red, green and blue color values of the pixel, respectively. The above formula is a common method for converting a color image into a grayscale image.
However, the parameters of the above formula are relatively fixed, and there is no adjustment mechanism, which can flexibly convert a color image into a gray image, in order to enhance the flexibility of adjustment and maintain the integrity of conversion, we have designed a adjoint coefficient and also designed an overall multiplication function, and the new formula introducing the adjoint coefficient and the multiplication function is as follows:
I(x)＝0.229R(x)+0.587G(x)+0.114B(x)+ccom*f(R(x),G(x),B(x)) (2)
wherein, ccomThe adjoint coefficients, R (x), G (x), B (x) are the red, green, blue color values of the pixel, and f (R (x), G (x), B (x)) is the multiplication function. In order to maintain the conversion integrity and simultaneously consider the RGB equivalence principle of the gray level image, the multiplication function is designed into a linear function, and the method specifically comprises the following steps:
after the experiment, the formula (2) is adopted to convert the color image of the power transmission line into the gray image, and the broken power transmission line is obviously reduced.
Step 103: and generating a gray image after gray operation is carried out, and identifying the power transmission line from the gray image. Through the conversion of the formula (2), it can be seen that the transmission line can be more easily identified from the grayscale image of the transmission line with a smaller degree of fracture.
Step 104: and determining a base plane and a shooting baseline of the power transmission line image, and estimating the pixel diameter of the power transmission line on the shooting baseline as a threshold value of the pixel diameter of the power transmission line. The base plane is the plane where the camera is located, and the camera shooting baseline is a horizontal line for framing when the camera lens shoots.
Step 105: and searching whether a diameter singular point larger than a threshold value exists on the power transmission line, and if the diameter singular point exists, determining that a tiny foreign matter exists on the power transmission line. The diameter of the power transmission line is usually the largest on the image pickup base line, so that the diameter is taken as a threshold value, when a pixel is found to be larger than the threshold value in the process of searching in the image, the pixel does not belong to the power transmission line, further, the power transmission line obtained according to the formula (2) has fewer breaks and is more continuous, and therefore the size of the identifiable foreign matters can reach the pixel level, and the tiny foreign matters can be identified.
The embodiment of the invention also provides a device for searching the foreign matters in the power transmission line, which mainly comprises the following modules:
an image acquisition module: acquiring an image of the power transmission line;
a gray level operation module: performing gray level operation on the acquired electric transmission line image by adopting a gray level function, wherein the gray level function is added with an accompanying coefficient and a multiplication function and is used for adjusting the red, green and blue color values of the pixels and generating a gray level image after the gray level operation is performed;
a transmission line identification module: identifying the power transmission line from the calculated gray level image;
a foreign matter search module: and receiving the identified power transmission line from the power transmission line identification module, and searching the foreign matters on the identified power transmission line.
Specifically, the gradation operation module, andthe gray function increase accompaniment coefficients include: the gray-scale function is i (x) 0.229r (x) +0.587g (x) +0.114b (x) + ccomF (r (x), g (x), b (x)). Wherein, ccomThe adjoint coefficients, R (x), G (x), B (x) are the red, green, blue color values of the pixel, and f (R (x), G (x), B (x)) is the multiplication function.
In order to maintain the conversion integrity and simultaneously consider the RGB equivalence principle of the gray-scale image, the embodiment designs the multiplication function as a linear function, specifically as follows:
specifically, the foreign matter search module includes:
base plane and baseline determination submodule: determining a base plane and a camera shooting base line of the power transmission line image;
a threshold calculation submodule: estimating the pixel diameter of the power transmission line on the shooting baseline as a threshold value of the pixel diameter of the power transmission line;
micro foreign matter discovery submodule: and searching whether a diameter singular point larger than a threshold value exists on the power transmission line, and if the diameter singular point exists, determining that a tiny foreign matter exists on the power transmission line.
The above embodiments are only for illustrating the technical concept and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the contents of the present invention and implement the present invention accordingly, and not to limit the protection scope of the present invention accordingly. All equivalent changes or modifications made in accordance with the spirit of the present disclosure are intended to be covered by the scope of the present disclosure.
Claims (7)
1. A method for searching foreign matters in a power transmission line is characterized by comprising the following steps:
acquiring an image of the power transmission line;
performing gray scale processing on the acquired electric transmission line image by adopting a gray scale function, wherein the gray scale function has an accompanying coefficient and a multiplication function for adjusting the color values of red, green and blue of a pixel;
and identifying the power transmission line according to the gray-processed image of the power transmission line.
2. The method for searching for the foreign object in the power transmission line according to claim 1, wherein the gray function is:
I(x)＝0.229R(x)+0.587G(x)+0.114B(x)+ccom*f(R(x),G(x),B(x))
in the formula, ccomIs the adjoint factor, R (x), G (x), B (x) are the red, green, blue color values of the pixel, f (R (x), G (x), B (x)) is the multiplication function, wherein the multiplication function is:
3. the method for searching for the foreign object in the power transmission line according to claim 1, wherein after identifying the power transmission line according to the generated gray-scale image, the method further comprises:
determining a base plane and a shooting baseline of the transmission line image subjected to gray processing, estimating the pixel diameter of the transmission line on the shooting baseline, and taking the pixel diameter as a threshold value of the pixel diameter of the transmission line;
and searching whether the diameter singular points larger than the threshold value exist on the transmission line image subjected to gray processing, and determining the diameter singular points larger than the threshold value as foreign matters on the transmission line.
4. A device for searching foreign matters in a power transmission line is characterized by comprising
An image acquisition module: the system is used for acquiring an image of the power transmission line;
a gray level operation module: the gray scale processing system is used for performing gray scale processing on the acquired electric transmission line image by adopting a gray scale function, wherein the gray scale function is provided with an accompanying coefficient and a multiplication function which are used for adjusting the color values of red, green and blue of a pixel; and the number of the first and second groups,
a transmission line identification module: the method is used for identifying the power transmission line according to the gray-processed image of the power transmission line.
5. The device for searching for foreign objects in an electric transmission line according to claim 4, wherein in the grayscale calculation module, the grayscale function is:
I(x)＝0.229R(x)+0.587G(x)+0.114B(x)+ccom*f(R(x),G(x),B(x))
in the formula, ccomIs the adjoint factor, R (x), G (x), B (x) are the red, green, blue color values of the pixel, f (R (x), G (x), B (x)) is the multiplication function, wherein the multiplication function is:
6. the device for searching for the alien material on the power transmission line according to claim 4, further comprising an alien material searching module for receiving the identified power transmission line from the power transmission line identification module and searching for the alien material on the identified power transmission line.
7. The device for searching for the foreign object on the power transmission line according to claim 6, wherein the foreign object searching module comprises:
base plane and baseline determination submodule: which is used for determining a base plane of the transmission line image subjected to the gray processing and a camera shooting base line,
a threshold calculation submodule: estimating the pixel diameter of the power transmission line on the shooting baseline, and taking the pixel diameter as a threshold value of the pixel diameter of the power transmission line; and the number of the first and second groups,
micro foreign matter discovery submodule: the method is used for searching whether the diameter singular points larger than the threshold value exist on the transmission line image subjected to gray processing, and the diameter singular points larger than the threshold value are determined as foreign matters on the transmission line.
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