CN113065540A - Power transmission line element failure identification method and system based on machine patrol image - Google Patents
Power transmission line element failure identification method and system based on machine patrol image Download PDFInfo
- Publication number
- CN113065540A CN113065540A CN202110354403.6A CN202110354403A CN113065540A CN 113065540 A CN113065540 A CN 113065540A CN 202110354403 A CN202110354403 A CN 202110354403A CN 113065540 A CN113065540 A CN 113065540A
- Authority
- CN
- China
- Prior art keywords
- image
- failure
- visible light
- equipment
- infrared
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005540 biological transmission Effects 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims abstract description 24
- 230000002159 abnormal effect Effects 0.000 claims abstract description 25
- 238000010276 construction Methods 0.000 claims description 23
- 230000000007 visual effect Effects 0.000 claims description 10
- 238000002372 labelling Methods 0.000 claims description 6
- 230000005856 abnormality Effects 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 4
- 230000032683 aging Effects 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 239000012212 insulator Substances 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Library & Information Science (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a power transmission line element failure identification method and a power transmission line element failure identification system based on machine patrol images, wherein the power transmission line element failure identification method based on the machine patrol images comprises the following steps: constructing a standard image library, wherein the standard image library comprises a plurality of equipment standard images; continuously and simultaneously acquiring an infrared image and a visible light image of the power transmission line; acquiring an infrared image with abnormal temperature, and marking a failure device area in the same group of visible light images; searching out an equipment standard image corresponding to the information of the failed electrical equipment in a standard image library; and acquiring the information of the failed electric element corresponding to the failed device area in the equipment standard image. Compared with the traditional mode, the power transmission line element failure identification method based on the machine patrol image greatly improves the polling speed, reduces the time of manual judgment, and can also effectively improve the accuracy of positioning failed electrical elements compared with a single infrared judgment mode.
Description
Technical Field
The invention relates to the technical field of information, in particular to a power transmission line element failure identification method and system based on machine patrol images.
Background
With the development of economy and the progress of science and technology, people have greater and greater requirements on electric energy, and therefore, the scale of a power grid is continuously enlarged. The geographical environment of the power grid construction is usually complex, so that the power grid construction is easily influenced by factors such as natural disasters and artificial damages in long-term operation, failure problems such as strand breakage of a lead, insulator dirtiness and corrosion of a tower can occur, the failure problems of aging of partial electric elements can also occur easily due to time influence, the problems are often accompanied by the phenomena of partial discharge and partial temperature rise in the early stage, and once the problems cannot be timely eliminated, the operation safety of the power grid can be seriously influenced. The traditional mode is through artifical the patrolling and examining, perhaps carries on the mode of artifical investigation again of camera collection image through unmanned aerial vehicle and goes on.
At present, to above-mentioned condition, the mode that utilizes unmanned aerial vehicle to carry on infrared data acquisition equipment has been released on the market and has been investigated, and although the speed of investigation improves, because infrared collection image is not clear to the environmental information show, lead to can't carrying out accurate affirmation to specific electrical component.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a power transmission line element failure identification method based on machine patrol images, which solves the problem that failure electrical elements in a power transmission line are difficult to efficiently and clearly confirm. The invention further provides a power transmission line element failure identification system based on the machine patrol image.
According to the embodiment of the first aspect of the invention, the method for identifying the failure of the power transmission line element based on the machine patrol image comprises the following steps:
constructing a standard image library, wherein the standard image library comprises a plurality of equipment standard images, the equipment standard images correspond to a plurality of standard electrical equipment one by one, and component information labeling is carried out on the positions of a plurality of electrical components in each equipment standard image;
continuously and simultaneously acquiring an infrared image and a visible light image of the power transmission line, wherein the actual shooting areas corresponding to each group of the infrared image and the visible light image are consistent;
acquiring the infrared image with abnormal temperature, and marking a failure device area in the visible light images in the same group;
confirming failure electrical equipment information according to the visible light image marked with the failure device area and the electric power construction data, and searching an equipment standard image corresponding to the failure electrical equipment information in the standard image library;
and comparing the visible light image marked with the failure device area with the equipment standard image, and acquiring failure electrical element information corresponding to the failure device area in the equipment standard image.
The power transmission line element failure identification method based on the machine patrol image, provided by the embodiment of the invention, at least has the following technical effects: by simultaneously acquiring the infrared image and the visible light image and keeping the visual fields of the infrared image and the visible light image consistent, the fault area can be rapidly determined by utilizing the infrared image and the electric element area corresponding to the fault area can be rapidly determined by utilizing the visible light image. By constructing a standard image library and marking components in the standard images of the equipment in the library, the positions of the specific aging electrical elements can be determined after the visible light images are compared with the standard images of the equipment. Through the acquisition position information and the electric power construction data of the visible light image, the information of the failed electrical equipment can be quickly confirmed, and a large amount of calculation for analyzing the model of the electrical equipment is reduced. Compared with the traditional mode, the power transmission line element failure identification method based on the machine patrol image greatly improves the patrol speed, reduces the time of manual judgment, and can also effectively improve the accuracy of positioning failed electrical elements compared with a single infrared judgment mode.
According to some embodiments of the invention, the continuously and simultaneously acquiring the infrared image and the visible light image of the power transmission line comprises the following steps:
carrying an infrared image acquisition device and a visible light image acquisition device on an unmanned aerial vehicle, wherein the visual fields of the infrared image acquisition device and the visible light image acquisition device are consistent;
and simultaneously starting the infrared image acquisition device and the visible light image acquisition device to continuously acquire the infrared image and the visible light image of the power transmission line.
According to some embodiments of the invention, the angle at which the infrared image and the visible image are both acquired is the same as the angle at which the standard image of the device is acquired.
According to some embodiments of the invention, the acquiring the infrared image with the temperature anomaly and marking the failed device area in the same group of the visible light images comprises the following steps:
marking a temperature abnormal area in the infrared image with the temperature abnormality, and recording the infrared image as an infrared failure image;
acquiring acquisition time information corresponding to the infrared failure image;
confirming the visible light image corresponding to the infrared failure image according to the acquisition time information, and recording the visible light image as a visible light failure image;
and correspondingly marking a failure device area in the visible light failure image according to the position of the temperature abnormal area in the infrared failure image.
According to some embodiments of the invention, the confirming of the failed electrical equipment information according to the visible light image marked with the failed device region and the power construction data comprises the steps of:
acquiring acquisition position information while acquiring the acquisition time information;
and searching the electric power equipment corresponding to the acquisition position information according to the electric power construction data, and recording the information of the electric power equipment as failure electric equipment information.
According to a second aspect of the invention, the system for identifying the failure of the power transmission line element based on the machine patrol image comprises:
the standard image library comprises a plurality of equipment standard images, the equipment standard images correspond to a plurality of standard electrical equipment one by one, and component information labeling is carried out on the positions of a plurality of electrical components in each equipment standard image;
the data acquisition device is used for continuously and simultaneously acquiring infrared images and visible light images of the power transmission line, and the actual shooting areas corresponding to each group of infrared images and visible light images are consistent;
the abnormal area detection module is used for acquiring the infrared image with abnormal temperature;
the failure area marking module is used for marking a failure device area in the same group of visible light images according to the infrared images with abnormal temperature;
the failure equipment information acquisition module is used for confirming failure electrical equipment information according to the visible light image marked with the failure device area and the electric power construction data;
the standard image acquisition module is used for searching out an equipment standard image corresponding to the information of the failed electrical equipment in the standard image library according to the information of the failed electrical equipment;
and the failure element information acquisition unit is used for comparing the visible light image marked with the failure device area with the equipment standard image and acquiring failure electrical element information corresponding to the failure device area in the equipment standard image.
The power transmission line element failure identification system based on the machine patrol image provided by the embodiment of the invention at least has the following technical effects: the data acquisition device is used for simultaneously acquiring the infrared image and the visible light image, and keeping the visual fields of the infrared image and the visible light image consistent, so that the fault area can be rapidly determined by using the infrared image and the electric element area corresponding to the fault area can be rapidly determined by using the visible light image. By constructing a standard image library and marking components in the standard images of the equipment in the library, the positions of the specific aging electrical elements can be determined after the visible light images are compared with the standard images of the equipment. The failure equipment information acquisition module can quickly confirm the information of failure electrical equipment through the acquisition position information and the electric power construction data of the visible light image, and reduces a large amount of calculation for analyzing the model of the electrical equipment. Compared with the traditional mode, the power transmission line element failure identification system based on the machine patrol image greatly improves the patrol speed, reduces the time of manual judgment, and can also effectively improve the accuracy of positioning failed electrical elements compared with a single infrared judgment mode.
According to some embodiments of the invention, the data acquisition device comprises an unmanned aerial vehicle, and an infrared image acquisition device and a visible light image acquisition device which are carried on the unmanned aerial vehicle, and the fields of vision of the infrared image acquisition device and the visible light image acquisition device are consistent.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a simplified flow chart of a method for identifying failure of a power transmission line element based on a machine patrol image according to an embodiment of the present invention;
fig. 2 is a block diagram of a power transmission line element failure recognition system based on machine patrol images according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it is to be understood that the directional descriptions, such as the directions of upper, lower, front, rear, left, right, etc., are referred to only for convenience of describing the present invention and for simplicity of description, and are not intended to indicate or imply that the device or element so referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and larger, smaller, larger, etc. are understood as excluding the number, and larger, smaller, inner, etc. are understood as including the number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless otherwise explicitly limited, terms such as arrangement, installation, connection and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
A method for identifying a failure of a power transmission line element based on a machine patrol image according to an embodiment of the first aspect of the present invention is described below with reference to fig. 1 to 2.
The method for identifying the failure of the power transmission line element based on the machine patrol image comprises the following steps:
constructing a standard image library, wherein the standard image library comprises a plurality of equipment standard images, the equipment standard images correspond to a plurality of standard electrical equipment one by one, and component information labeling is carried out on the positions of a plurality of electrical components in each equipment standard image;
continuously and simultaneously acquiring infrared images and visible light images of the power transmission line, wherein the actual shooting areas corresponding to each group of infrared images and visible light images are consistent;
acquiring an infrared image with abnormal temperature, and marking a failure device area in the same group of visible light images;
confirming the information of the failed electrical equipment according to the visible light image marked with the failed device area and the electric power construction data, and searching an equipment standard image corresponding to the information of the failed electrical equipment in a standard image library;
and comparing the visible light image marked with the failure device area with the equipment standard image, and acquiring failure electrical element information corresponding to the failure device area in the equipment standard image.
Referring to fig. 1 and 2, the infrared image acquired by the infrared image acquisition device usually only contains temperature characteristics, and the color of the region with higher temperature is more prominent, so that after the infrared image is acquired, the region with higher temperature can be quickly found out by using the characteristics, and the temperature abnormality can be determined in the region with temperature exceeding a preset temperature threshold value. However, it is difficult to accurately acquire specific electrical devices and electrical component information on the electrical devices only in the infrared image, and further processing is required.
The visible light image collected by the visible light image collecting device can clearly check specific image information, but whether the electrical element fails or not is difficult to directly judge. The image areas acquired by the visible light image and the infrared image are kept consistent, so that the corresponding relation between the visible light image and the infrared image can be effectively established. After the infrared image is used for determining the area where the temperature anomaly occurs, the area of the failed device can be correspondingly determined in the visible light image. The determination of the specific failed electrical component can then be accomplished using a visible light image that defines the area of the failed device.
In order to quickly determine the failed electrical element, a standard image library is constructed, a large number of equipment standard images are stored in the standard image library, the electrical element is marked at a corresponding position in the equipment standard images, and the positions of equipment such as insulators and the like are marked on a tower as an example. When the visible light image is compared with the equipment standard image, a corresponding area can be found in the equipment standard image by using the failure device area, an electric element label exists in the area, and then the information of the labeled middle element can be obtained, and the information is recorded as the information of the failure electric element and finally transmitted to the control center for warning display.
In addition, in order to quickly determine the device standard image corresponding to the visible light image, a method of performing image processing on the visible light image and extracting feature analysis is not adopted here. The acquisition position information during acquisition of the visible light image is directly acquired, the specific place during shooting can be rapidly confirmed through the acquisition position information, and the construction of the power grid is accurately arranged according to the power construction data, so that the specific arranged power equipment in the place can be confirmed according to the acquisition position information. And then the standard image of the equipment can be rapidly acquired.
According to the power transmission line element failure identification method based on the machine patrol image, the infrared image and the visible light image are collected simultaneously, the visual fields of the infrared image and the visible light image are kept consistent, and the fault area can be rapidly determined by utilizing the infrared image and the electric element area corresponding to the fault area can be conveniently and rapidly determined by utilizing the visible light image in the follow-up process. By constructing a standard image library and marking components in the standard images of the equipment in the library, the positions of the specific aging electrical elements can be determined after the visible light images are compared with the standard images of the equipment. Through the acquisition position information and the electric power construction data of the visible light image, the information of the failed electrical equipment can be quickly confirmed, and a large amount of calculation for analyzing the model of the electrical equipment is reduced. Compared with the traditional mode, the power transmission line element failure identification method based on the machine patrol image greatly improves the patrol speed, reduces the time of manual judgment, and can also effectively improve the accuracy of positioning failed electrical elements compared with a single infrared judgment mode.
In some embodiments of the present invention, continuously and simultaneously acquiring the infrared image and the visible light image of the power transmission line comprises the following steps:
the infrared image acquisition device and the visible light image acquisition device are mounted on the unmanned aerial vehicle, and the visual fields of the infrared image acquisition device and the visible light image acquisition device are consistent;
and simultaneously starting the infrared image acquisition device and the visible light image acquisition device to continuously acquire the infrared image and the visible light image of the power transmission line.
Carry on infrared image collection system and visible light image collection system's mode through unmanned aerial vehicle, the degree of freedom that can furthest's improvement gathered image information also can acquire more characteristic information from last shooting down simultaneously, and the most power equipment just is the shaft tower among the electric wire netting transmission line after all. Meanwhile, in order to better establish the corresponding relationship between the infrared image and the visible light image, the visual fields of the infrared image acquisition device and the visible light image acquisition device are usually kept consistent. In order to further ensure that the acquired images are consistent, the acquisition of the images and the acquisition of the images are started at the same time, and errors caused by inconsistency of the acquisition time of the images and the acquisition time of the images are avoided.
In some embodiments of the present invention, the angle at which both the infrared image and the visible image are acquired is consistent with the angle at which the standard image of the device is acquired. In order to better find the component information in the device standard image according to the failed device area in the visible light image, the viewing angles of the visible light image and the device standard image are made as consistent as possible, for example: the visible light image and the equipment standard image can both collect overlooking visual angles, so that the consistency of the characteristics of the visible light image and the equipment standard image can be maintained to a large extent, and the one-to-one correspondence relationship between the visible light image and the equipment standard image is conveniently and quickly established.
In some embodiments of the present invention, acquiring an infrared image in which a temperature anomaly occurs, and marking a failed device region in the same set of visible light images comprises the steps of:
marking a temperature abnormal area in the infrared image with the temperature abnormality, and recording the infrared image as an infrared failure image;
acquiring acquisition time information corresponding to the infrared failure image;
confirming a visible light image corresponding to the infrared failure image according to the acquisition time information, and recording the visible light image as a visible light failure image;
and correspondingly marking the failed device region in the visible light failure image according to the position of the temperature abnormal region in the infrared failure image.
When the temperature of the infrared image mark with abnormal temperature is abnormal, the acquisition time information of the acquired infrared failure image can be synchronously acquired, and the infrared image and the visible light image are synchronously started to be acquired, so that the corresponding visible light failure image can be quickly acquired, and the failure device area can be marked according to the temperature abnormal area. When a plurality of infrared failure images are encountered, the images are processed one by one.
In some embodiments of the present invention, confirming the failed electrical equipment information based on the visible light image marking the failed device region and the power construction data comprises the steps of:
acquiring acquisition position information while acquiring acquisition time information;
and searching the electric power equipment corresponding to the collected position information according to the electric power construction data, and recording the information of the electric power equipment as failure electric equipment information.
Because unmanned aerial vehicle gathers and realizes automatic flight through the navigation usually, consequently when acquireing acquisition time information, can be very accurate know specific collection positional information. After the construction of all the electric equipment is completed, a certain position information or coordinate information must be obtained, and then the type of the corresponding electric equipment can be known by matching the coordinate information and collecting the position information, so that the information of the failed electric equipment is determined, and the subsequent acquisition work of the standard equipment image is conveniently completed.
The power transmission line element failure identification system based on the machine patrol image comprises a standard image library, a data acquisition device, an abnormal area detection module, a failure area marking module, a failure equipment information acquisition module, a standard image acquisition module and a failure element information acquisition unit.
The standard image library comprises a plurality of equipment standard images, the equipment standard images correspond to a plurality of standard electrical equipment one by one, and component information labeling is carried out on the positions of the electrical components in each equipment standard image;
the data acquisition device is used for continuously and simultaneously acquiring the infrared image and the visible light image of the power transmission line, and the actual shooting areas corresponding to each group of infrared image and the visible light image are consistent;
the abnormal area detection module is used for acquiring an infrared image with abnormal temperature;
the failure area marking module is used for marking a failure device area in the same group of visible light images according to the infrared image with abnormal temperature;
the failure equipment information acquisition module is used for confirming failure electrical equipment information according to the visible light image marked with the failure device area and the electric power construction data;
the standard image acquisition module is used for searching an equipment standard image corresponding to the information of the failed electrical equipment in a standard image library according to the information of the failed electrical equipment;
and the failure element information acquisition unit is used for comparing the visible light image marked with the failure device area with the equipment standard image and acquiring failure electrical element information corresponding to the failure device area in the equipment standard image.
Referring to fig. 1 and 2, the infrared image collected by the infrared image collecting device usually only contains temperature characteristics, and the color of the region with higher temperature is more prominent, so that after the infrared image is collected, the abnormal region detecting module can rapidly find out the region with higher temperature by using the characteristic, and the temperature abnormality can be determined in the region with temperature exceeding the preset temperature threshold value. However, it is difficult to accurately acquire specific electrical devices and electrical component information on the electrical devices only in the infrared image, and further processing is required.
The visible light image collected by the visible light image collecting device can clearly check specific image information, but whether the electrical element fails or not is difficult to directly judge. The image areas acquired by the visible light image and the infrared image are kept consistent, so that the corresponding relation between the visible light image and the infrared image can be effectively established. After the infrared image is used to determine the area where the temperature anomaly occurs, the failed device area can be determined in the corresponding visible light image using the failed area marking module. The determination of the specific failed electrical component can then be accomplished using a visible light image that defines the area of the failed device.
In order to quickly determine the failed electrical element, a standard image library is constructed, a large number of equipment standard images are stored in the standard image library, the electrical element is marked at a corresponding position in the equipment standard images, and the positions of equipment such as insulators and the like are marked on a tower as an example. When the visible light image is compared with the equipment standard image, the failure element information acquisition unit can find a corresponding area in the equipment standard image by using the failure device area, an electric element label exists in the area, and then the labeled middle element information can be acquired, and the information is recorded as failure electric element information and finally transmitted to the control center for alarm display.
In addition, in order to quickly determine the device standard image corresponding to the visible light image, a method of performing image processing on the visible light image and extracting feature analysis is not adopted here. The acquisition position information during acquisition of the visible light image is directly acquired, the specific place during shooting can be rapidly confirmed through the acquisition position information, and the construction of the power grid is accurately arranged according to the power construction data, so that the failure equipment information acquisition module can confirm the power equipment specifically arranged at the place according to the acquisition position information. And then the standard image of the equipment can be rapidly acquired through the standard image acquisition module.
According to the power transmission line element failure recognition system based on the machine patrol image, the data acquisition device is used for simultaneously acquiring the infrared image and the visible light image, the visual fields of the infrared image and the visible light image are kept consistent, and the fault area can be rapidly determined by utilizing the infrared image and the electric element area corresponding to the fault area can be conveniently and rapidly determined by utilizing the visible light image in the follow-up process. By constructing a standard image library and marking components in the standard images of the equipment in the library, the positions of the specific aging electrical elements can be determined after the visible light images are compared with the standard images of the equipment. The failure equipment information acquisition module can quickly confirm the information of failure electrical equipment through the acquisition position information and the electric power construction data of the visible light image, and reduces a large amount of calculation for analyzing the model of the electrical equipment. Compared with the traditional mode, the power transmission line element failure identification system based on the machine patrol image greatly improves the patrol speed, reduces the time of manual judgment, and can also effectively improve the accuracy of positioning failed electrical elements compared with a single infrared judgment mode.
In some embodiments of the invention, the degree of freedom of image information acquisition can be improved to the greatest extent by carrying the infrared image acquisition device and the visible light image acquisition device on the unmanned aerial vehicle, and more characteristic information can be acquired by shooting from top to bottom, after all, the most power equipment in the power grid transmission line is the tower. Meanwhile, in order to better establish the corresponding relationship between the infrared image and the visible light image, the visual fields of the infrared image acquisition device and the visible light image acquisition device are usually kept consistent. In order to further ensure that the acquired images are consistent, the acquisition of the images and the acquisition of the images are started at the same time, and errors caused by inconsistency of the acquisition time of the images and the acquisition time of the images are avoided.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the present invention is not limited to the embodiments, and those skilled in the art will understand that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (7)
1. A power transmission line element failure identification method based on machine patrol images is characterized by comprising the following steps:
constructing a standard image library, wherein the standard image library comprises a plurality of equipment standard images, the equipment standard images correspond to a plurality of standard electrical equipment one by one, and component information labeling is carried out on the positions of a plurality of electrical components in each equipment standard image;
continuously and simultaneously acquiring an infrared image and a visible light image of the power transmission line, wherein the actual shooting areas corresponding to each group of the infrared image and the visible light image are consistent;
acquiring the infrared image with abnormal temperature, and marking a failure device area in the visible light images in the same group;
confirming failure electrical equipment information according to the visible light image marked with the failure device area and the electric power construction data, and searching an equipment standard image corresponding to the failure electrical equipment information in the standard image library;
and comparing the visible light image marked with the failure device area with the equipment standard image, and acquiring failure electrical element information corresponding to the failure device area in the equipment standard image.
2. The method for identifying the failure of the power transmission line element based on the machine patrol image according to claim 1, wherein the step of continuously and simultaneously acquiring the infrared image and the visible light image of the power transmission line comprises the following steps:
carrying an infrared image acquisition device and a visible light image acquisition device on an unmanned aerial vehicle, wherein the visual fields of the infrared image acquisition device and the visible light image acquisition device are consistent;
and simultaneously starting the infrared image acquisition device and the visible light image acquisition device to continuously acquire the infrared image and the visible light image of the power transmission line.
3. The power transmission line element failure identification method based on the machine patrol image according to claim 1, wherein the angles for collecting the infrared image and the visible light image are consistent with the angle for collecting the standard image of the equipment.
4. The method for identifying the failure of the power transmission line element based on the machine patrol image according to claim 1, wherein the step of acquiring the infrared image with the abnormal temperature and marking the failure device area in the same group of the visible light images comprises the following steps:
marking a temperature abnormal area in the infrared image with the temperature abnormality, and recording the infrared image as an infrared failure image;
acquiring acquisition time information corresponding to the infrared failure image;
confirming the visible light image corresponding to the infrared failure image according to the acquisition time information, and recording the visible light image as a visible light failure image;
and correspondingly marking a failure device area in the visible light failure image according to the position of the temperature abnormal area in the infrared failure image.
5. The method for identifying the failure of the power transmission line element based on the machine patrol image as claimed in claim 4, wherein the step of confirming the information of the failed electrical equipment according to the visible light image marked with the failed device area and the power construction data comprises the following steps:
acquiring acquisition position information while acquiring the acquisition time information;
and searching the electric power equipment corresponding to the acquisition position information according to the electric power construction data, and recording the information of the electric power equipment as failure electric equipment information.
6. The utility model provides a transmission line component failure identification system based on machine patrols image which characterized in that includes:
the standard image library comprises a plurality of equipment standard images, the equipment standard images correspond to a plurality of standard electrical equipment one by one, and component information labeling is carried out on the positions of a plurality of electrical components in each equipment standard image;
the data acquisition device is used for continuously and simultaneously acquiring infrared images and visible light images of the power transmission line, and the actual shooting areas corresponding to each group of infrared images and visible light images are consistent;
the abnormal area detection module is used for acquiring the infrared image with abnormal temperature;
the failure area marking module is used for marking a failure device area in the same group of visible light images according to the infrared images with abnormal temperature;
the failure equipment information acquisition module is used for confirming failure electrical equipment information according to the visible light image marked with the failure device area and the electric power construction data;
the standard image acquisition module is used for searching out an equipment standard image corresponding to the information of the failed electrical equipment in the standard image library according to the information of the failed electrical equipment;
and the failure element information acquisition unit is used for comparing the visible light image marked with the failure device area with the equipment standard image and acquiring failure electrical element information corresponding to the failure device area in the equipment standard image.
7. The power transmission line element failure recognition system based on machine patrol images according to claim 6, wherein the data acquisition device comprises an unmanned aerial vehicle, and an infrared image acquisition device and a visible light image acquisition device which are carried on the unmanned aerial vehicle, and the fields of vision of the infrared image acquisition device and the visible light image acquisition device are consistent.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110354403.6A CN113065540A (en) | 2021-03-31 | 2021-03-31 | Power transmission line element failure identification method and system based on machine patrol image |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110354403.6A CN113065540A (en) | 2021-03-31 | 2021-03-31 | Power transmission line element failure identification method and system based on machine patrol image |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113065540A true CN113065540A (en) | 2021-07-02 |
Family
ID=76565293
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110354403.6A Pending CN113065540A (en) | 2021-03-31 | 2021-03-31 | Power transmission line element failure identification method and system based on machine patrol image |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113065540A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114089213A (en) * | 2021-12-03 | 2022-02-25 | 中科国微科技(深圳)有限公司 | All-digital control type high-power direct-current stabilized power supply detection method and system |
| CN116977184A (en) * | 2023-08-01 | 2023-10-31 | 南方电网数字电网研究院有限公司 | Transmission line image acquisition method, device, computer equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104253482A (en) * | 2014-08-08 | 2014-12-31 | 济南大学 | Image data base and inspection robot-based equipment trouble detection method |
| CN204992418U (en) * | 2015-09-22 | 2016-01-20 | 南方电网科学研究院有限责任公司 | Automatic device of patrolling and examining of unmanned aerial vehicle transmission line defect |
| CN108364003A (en) * | 2018-04-28 | 2018-08-03 | 国网河南省电力公司郑州供电公司 | The electric inspection process method and device merged based on unmanned plane visible light and infrared image |
| US20200098103A1 (en) * | 2018-09-21 | 2020-03-26 | Chongqing Construction Engineering Group Corporation Limited | High-precision Intelligent Detection Method For Bridge Diseases Based On Spatial Position |
| CN111754483A (en) * | 2020-06-23 | 2020-10-09 | 四川省东宇信息技术有限责任公司 | Method and system for identifying abnormal equipment based on thermal imager |
-
2021
- 2021-03-31 CN CN202110354403.6A patent/CN113065540A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104253482A (en) * | 2014-08-08 | 2014-12-31 | 济南大学 | Image data base and inspection robot-based equipment trouble detection method |
| CN204992418U (en) * | 2015-09-22 | 2016-01-20 | 南方电网科学研究院有限责任公司 | Automatic device of patrolling and examining of unmanned aerial vehicle transmission line defect |
| CN108364003A (en) * | 2018-04-28 | 2018-08-03 | 国网河南省电力公司郑州供电公司 | The electric inspection process method and device merged based on unmanned plane visible light and infrared image |
| US20200098103A1 (en) * | 2018-09-21 | 2020-03-26 | Chongqing Construction Engineering Group Corporation Limited | High-precision Intelligent Detection Method For Bridge Diseases Based On Spatial Position |
| CN111754483A (en) * | 2020-06-23 | 2020-10-09 | 四川省东宇信息技术有限责任公司 | Method and system for identifying abnormal equipment based on thermal imager |
Non-Patent Citations (1)
| Title |
|---|
| 汪勇等: "基于可见光、热红外及激光雷达传感的无人机图像融合方法", 《激光杂志》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114089213A (en) * | 2021-12-03 | 2022-02-25 | 中科国微科技(深圳)有限公司 | All-digital control type high-power direct-current stabilized power supply detection method and system |
| CN116977184A (en) * | 2023-08-01 | 2023-10-31 | 南方电网数字电网研究院有限公司 | Transmission line image acquisition method, device, computer equipment and storage medium |
| CN116977184B (en) * | 2023-08-01 | 2024-03-19 | 南方电网数字电网研究院股份有限公司 | Transmission line image acquisition method, device, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108037133B (en) | Intelligent electric power equipment defect identification method and system based on unmanned aerial vehicle inspection image | |
| CN110850723B (en) | Fault diagnosis and positioning method based on transformer substation inspection robot system | |
| CN111476921B (en) | Intelligent inspection system for machine room | |
| CN112115927B (en) | Intelligent machine room equipment identification method and system based on deep learning | |
| CN113065540A (en) | Power transmission line element failure identification method and system based on machine patrol image | |
| CN107481223B (en) | Method and device for automatically identifying wiring state image | |
| CN108680833B (en) | Composite insulator defect detection system based on unmanned aerial vehicle | |
| CN101834989B (en) | Real-time data acquisition and storage system of helicopter in electric inspection process | |
| CN102878647B (en) | Automatic monitoring system and automatic monitoring method for operating state of air conditioner | |
| CN108872796A (en) | Ground control platform based on vehicle-mounted contact net condition monitoring | |
| CN103065520A (en) | Detection system for backing car into storage and detection method thereof | |
| CN112697798B (en) | Infrared image-oriented diagnosis method and device for current-induced thermal defects of power transformation equipment | |
| CN107391631A (en) | A kind of electric transmission line channel solid space monitoring and fast ranging method | |
| CN113723189B (en) | Intelligent power equipment fault diagnosis method based on single-order infrared image target detection | |
| CN116363125B (en) | Deep learning-based battery module appearance defect detection method and system | |
| CN103076007A (en) | Side parking detecting system and method | |
| CN112595936A (en) | Power transmission line composite insulator intelligent detection system based on unmanned aerial vehicle patrols and examines | |
| CN116345685A (en) | Power distribution network digital inspection method based on 3D virtual reality technology | |
| CN116363397A (en) | Equipment fault checking method, device and inspection system | |
| CN114882682B (en) | High-voltage cable state monitoring platform and monitoring method | |
| CN114241257A (en) | Power transmission line inspection method and system based on image recognition | |
| CN115039124A (en) | Image processing method, electronic equipment, automobile data recorder and server | |
| CN114155432A (en) | Meter reading identification method based on robot | |
| CN117498225B (en) | Unmanned aerial vehicle intelligent power line inspection system | |
| CN113778091A (en) | Method for inspecting equipment of wind power plant booster station |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210702 |