CN113223085A - Fault component positioning method, device, equipment and storage medium - Google Patents
Fault component positioning method, device, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a method, a device, equipment and a storage medium for positioning a fault component. The method comprises the following steps: acquiring an infrared picture of the power equipment acquired by the unmanned aerial vehicle; identifying the infrared picture to determine a component with set fault characteristics as a fault component, and identifying and determining the contour coordinate of the position of the fault component; determining the ground sampling distance of the infrared picture according to the contour coordinate of the fault component and the entity size of the fault component; and calculating the geographic coordinate of the fault component according to the geographic coordinate of the infrared picture and the ground sampling distance. By the technical scheme of the embodiment of the invention, the accurate identification of the geographical position of the fault component in the photovoltaic power station is realized based on the entity size of the fault component.
Description
Technical Field
The embodiment of the invention relates to a technology for positioning a fault component in a photovoltaic power station, in particular to a method, a device, equipment and a storage medium for positioning the fault component.
Background
With the development and research of clean and renewable energy sources in various countries of the world, the photovoltaic industry based on solar energy is rapidly developed. At present, the scale of the photovoltaic industry in China is continuously enlarged, and the development of the industry is generally good. With the further development of the photovoltaic industry in China, the market capacity of the photovoltaic industry is expected to increase year by year in the coming years. With the increasing scale of photovoltaic power stations for grid-connected power generation, later-period operation and maintenance services become the fastest-growing services in future power station blocks. During the operation of the solar photovoltaic power station, the solar cell is damaged, the cell is broken from cracks, the cell characteristics are deteriorated, and flying birds, dust, leaves and other shelters are difficult to fall off in long-term use, so that the shelters form a hot spot effect on a solar cell module. Domestic photovoltaic power stations are generally built on large hillsides, gobi, plains, swamps, water areas, plant tops, residential roofs and the like, and different photovoltaic power stations have large differences in scale, form, distribution and the like, so that inconvenience is caused in the later operation and maintenance inspection process. Particularly, the larger the scale of a photovoltaic power generation project is, the higher the complexity of power station inspection work is, and when the inspection work is carried out on the power station project, on one hand, a large amount of labor and time cost is consumed in a conventional manual inspection mode, so that power station equipment is not inspected timely, and the economic benefit of a power plant is influenced; on the other hand, the work of inspection personnel also has certain danger.
At present, infrared image acquisition can be carried out on a photovoltaic module through an infrared camera device carried by an unmanned aerial vehicle, and hot spot detection is realized by analyzing temperature distribution thermal imaging of a photovoltaic panel under different working states and utilizing a machine learning or image processing method based on an image analysis detection method. Generally, a photovoltaic power station is built on the top of a building and a wilderness far away from a city, the floor area is large, the photovoltaic power station is composed of thousands of photovoltaic panels, the geographic coordinate positioning accuracy of a global positioning system is insufficient, and the positioning range is large.
Therefore, how to solve the problem of positioning the geographic coordinates of the fault component in the photovoltaic power station, calculating the geographic coordinates corresponding to the fault component with hot spots in the infrared picture, converting the geographic coordinates into longitude and latitude, and calibrating the components corresponding to the longitude and latitude positions in the whole panoramic electronic map of the photovoltaic power station, so that operation and maintenance personnel can find the fault component on the site of the power station for maintenance, which is a technical problem to be solved urgently by technical personnel in the field.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for positioning a fault component, which are used for improving the positioning and identifying accuracy of the fault component in a photovoltaic power station.
In a first aspect, an embodiment of the present invention provides a method for locating a faulty component, including:
acquiring an infrared picture of the power equipment acquired by the unmanned aerial vehicle;
identifying the infrared picture to determine a component with set fault characteristics as a fault component, and identifying and determining the contour coordinate of the position of the fault component;
determining the ground sampling distance of the infrared picture according to the contour coordinate of the fault component and the entity size of the fault component;
and calculating the geographic coordinate of the fault component according to the geographic coordinate of the infrared picture and the ground sampling distance.
In a second aspect, an embodiment of the present invention further provides a device for locating a faulty component, including:
the image acquisition module is used for acquiring the infrared image of the power equipment acquired by the unmanned aerial vehicle;
the fault component identification module is used for identifying the infrared picture so as to determine a component with set fault characteristics as a fault component and identify and determine the contour coordinate of the position of the fault component;
the ground sampling distance calculation module is used for determining the ground sampling distance of the infrared picture according to the outline coordinate of the fault assembly and the entity size of the fault assembly;
and the coordinate calculation module is used for calculating the geographic coordinate of the fault component according to the geographic coordinate of the infrared picture and the ground sampling distance.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for locating a faulty component according to any embodiment of the present invention.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for locating a faulty component according to any embodiment of the present invention.
The embodiment of the invention provides a fault component positioning method, a fault component positioning device, electronic equipment and a storage medium, wherein the contour coordinate of a fault component generating hot spots in an infrared picture and the entity size of the fault component are utilized, and the ground sampling distance of the infrared picture is calculated through the two parameter values, so that the measured values acquired by various sensors in the routing inspection process by an unmanned aerial vehicle are avoided, and the calculation accuracy of the longitude and latitude of the fault component and the stability of a calculation method are ensured.
Drawings
Fig. 1 is a flowchart of a method for locating a faulty component according to an embodiment of the present invention;
fig. 2A is a flowchart of a method for locating a faulty component according to a second embodiment of the present invention;
fig. 2B is a graph of a positioning correction method for a faulty component according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a positioning device for a faulty component according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for locating a faulty component according to an embodiment of the present invention, where the embodiment is applicable to a situation of locating a faulty component in a photovoltaic power station, and the method of the embodiment may be executed by a faulty component locating apparatus, and the apparatus may be implemented in a hardware and/or software manner. The device can be configured in a server capable of locating a faulty component in a photovoltaic power plant. The method specifically comprises the following steps:
s110, acquiring the infrared picture of the power equipment acquired by the unmanned aerial vehicle.
The unmanned aerial vehicle carries out photovoltaic module inspection according to the planned path, collects the infrared picture, records the geographic coordinate of the position where the collection point is located, corresponds to the geographic coordinate of the center point of the infrared picture, and records the course angle of the unmanned aerial vehicle at the position of the collection point.
And S120, identifying the infrared picture to determine a component with set fault characteristics as a fault component, and identifying and determining the contour coordinate of the position of the fault component.
Optionally, the contour coordinate is a pixel coordinate of a circumscribed rectangular frame of the faulty component.
The pixel coordinates of the rectangular frame circumscribed by the faulty component are not limited as long as the pixel position of the component in the picture can be represented, and for example, the pixel coordinates may be the coordinates of four corners of the faulty component, or the coordinates of upper left, lower right, and lower left points of the rectangular frame.
S130, determining the ground sampling distance of the infrared picture according to the outline coordinate of the fault assembly and the entity size of the fault assembly.
The physical size of the failed component may be an actual length and width value corresponding to the specification and model of the component, or may be other physical sizes.
Ground Sample Distance (GSD) refers to the size of a pixel in a digital image expressed in units of ground distance.
The ground sampling distance of the infrared picture can be calculated according to the following formula:
wherein GSD is the ground sampling distance; a and B are the pixel length value and the pixel width value of the pixel coordinate of the circumscribed rectangular frame of the fault component respectively; s and T are the actual length value and the actual width value of the fault component respectively.
S140, calculating the geographic coordinate of the fault assembly according to the geographic coordinate of the infrared picture and the ground sampling distance.
Wherein the geographic coordinates of the infrared picture are the measurements of the drone sensor.
The geographic coordinate of the fault assembly refers to the geographic coordinate of the central point of a rectangle circumscribed by the fault assembly, and can be calculated according to the following formula:
X＝CX+(x1-x2)*GSD
Y＝CY+(y1-y2)*GSD
wherein the content of the first and second substances,
(x1, y 1): the pixel coordinates of the center point of the infrared picture are obtained;
(x2, y 2): pixel coordinates where the center point of the fault component is located;
(CX, CY): the global positioning system geographic coordinates at the central point of the infrared picture;
(X, Y): geographic coordinates of the center point of the rectangular box of the failed component.
The embodiment of the invention provides a fault component positioning method, which comprises the steps of identifying an infrared picture acquired by an unmanned aerial vehicle, determining a fault component, identifying a contour coordinate of the fault component, determining a ground sampling distance of the infrared picture according to the contour coordinate of the fault component and the entity size of the fault component, and calculating the geographical coordinate of the fault component according to the geographical coordinate of the infrared picture and the ground sampling distance, so that the effect of positioning the fault component is realized, and operation and maintenance personnel can find the fault component on the site of a power station for maintenance.
Example two
Fig. 2A is a flowchart of a method for locating a faulty component according to a second embodiment of the present invention. In this embodiment, refinement is performed on the basis of the foregoing embodiment, and optionally, the method further includes: according to the course angle of the unmanned aerial vehicle recorded when the unmanned aerial vehicle collects the infrared picture, correcting the geographic coordinates of the fault assembly in the infrared picture so as to match the power station panoramic electronic map; and converting the geographical coordinates of the fault components in the corrected infrared picture into longitude and latitude coordinates, and calibrating the fault components at the corresponding longitude and latitude positions of the power station panoramic electronic map.
As shown in fig. 2A, the method specifically includes the following steps:
s210, acquiring the infrared picture of the power equipment acquired by the unmanned aerial vehicle.
S220, identifying the position of a fault assembly generating hot spots in the infrared picture by using an algorithm model, and giving out pixel coordinates of a rectangular frame of the fault assembly.
The component with the hot plate fault in the infrared picture is a component with the hot spot fault, wherein the component can fall on shielding objects such as birds, dust, leaves and the like in long-term use, and the shielding objects form the hot spot effect on the solar cell component.
Various algorithm models for target detection and identification in the field of deep learning are used for identifying the position of a fault component generating hot spots in an infrared picture, for example, a YOLO series target detection and identification algorithm model or an SSD series target detection and identification algorithm model.
And S230, determining the ground sampling distance of the infrared picture according to the contour coordinate of the fault assembly and the entity size of the fault assembly.
Optionally, before determining the ground sampling distance of the infrared picture, the entity size of the component of the specification and model to which the faulty component belongs needs to be queried and obtained from a preset database according to the identifier of the faulty component.
The physical size of the component of the specification model to which the faulty component belongs may be a length, width, and height of the faulty component, and may be, but is not limited to, the following physical size: component peak power, cell gauge, peak voltage, peak current, and weight.
S240, calculating the geographic coordinate of the fault assembly according to the geographic coordinate of the infrared picture and the ground sampling distance.
And S250, correcting the geographical coordinates of the central point of the rectangular frame of the fault component in the infrared picture according to the heading angle of the unmanned aerial vehicle recorded when the unmanned aerial vehicle collects the infrared picture so as to match the panoramic electronic map of the power station.
Wherein, unmanned aerial vehicle course angle refers to the unmanned aerial vehicle and the contained angle that geographic coordinate produced when gathering the picture, for example in fig. 2B, towards the Y direction when unmanned aerial vehicle gathers the picture, and the contained angle that Y direction and true north produced is unmanned aerial vehicle course angle a.
According to the unmanned aerial vehicle course angle recorded when the unmanned aerial vehicle collects the infrared picture, the geographical coordinate of the central point of the rectangular frame of the fault assembly in the infrared picture is corrected, and the infrared picture shooting angle is rotated to the due north orientation so as to be matched with the power station panoramic electronic map.
As shown in fig. 2B, in which,
XOY: an infrared picture coordinate system;
EON: a geographical coordinate system, N representing a true north direction, E representing a true east direction;
a: unmanned plane course angle;
p: a fault component center coordinate point;
o: coordinate position of infrared picture central point (unmanned plane acquisition point);
l OP |: a failed component center distance;
the specific calculation process is as follows:
b＝π-a-c
|OB|＝|OP|*cosb
|OC|＝|OP|*sinb
wherein, the variables to be solved are as follows:
l PA |: the longitudinal distance between the point P and the coordinate position of the central point of the infrared picture;
i OA |: the transverse distance between the point P and the coordinate position of the central point of the infrared picture;
i OB I: the corresponding geographic coordinate position of the fault component in the total-station electronic map;
| OC |: and (4) the corresponding geographic coordinate position of the fault component in the electronic map of the total station.
And S260, converting the geographical coordinates of the central point of the rectangular frame of the fault component in the corrected infrared picture into longitude and latitude coordinates, and calibrating the geographical coordinates on the fault component at the position, corresponding to the longitude and latitude, of the power station panoramic electronic map.
The geographical coordinates of the center point of the rectangular frame of the fault component in the corrected infrared picture are converted into longitude and latitude coordinates, and the coordinate conversion process is realized in coordinate conversion software, such as a longitude and latitude converter. Inputting the XY coordinates of the center point of the rectangular frame of the fault component in the corrected infrared picture in the longitude and latitude converter, and clicking to convert the XY coordinates into longitude and latitude so as to finish the conversion from the geographic coordinates to the longitude and latitude coordinates.
According to the technical scheme of the embodiment of the invention, the infrared picture is collected for identification, the ground sampling distance of the infrared picture is determined according to the outline coordinate of the fault component and the entity size of the fault component, the geographic coordinate corresponding to the fault component with hot spots in the infrared picture is calculated, then the geographic coordinate is converted into longitude and latitude, and the longitude and latitude are calibrated on the component corresponding to the longitude and latitude position in the whole panoramic electronic map of the photovoltaic power station, so that the measured values acquired by various sensors in the routing inspection process by using an unmanned aerial vehicle are avoided, and the calculation accuracy and the calculation method stability of the longitude and latitude of the fault component are ensured.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a positioning apparatus for a faulty component according to a third embodiment of the present invention, where the apparatus includes: a picture acquisition module 310, a faulty component identification module 320, a ground sampling distance calculation module 330, and a coordinate calculation module 340. Wherein:
the image acquisition module 310 is used for acquiring an infrared image of the power equipment acquired by the unmanned aerial vehicle;
the fault component identification module 320 is used for identifying the infrared picture to determine a component with set fault characteristics as a fault component and identifying and determining the contour coordinate of the position of the fault component;
the ground sampling distance calculation module 330 is configured to determine a ground sampling distance of the infrared picture according to the contour coordinate of the faulty component and the physical size of the faulty component;
and the coordinate calculation module 340 is configured to calculate a geographic coordinate of the faulty component according to the geographic coordinate of the infrared picture and the ground sampling distance.
Optionally, the contour coordinate is a pixel coordinate of a circumscribed rectangular frame of the faulty component.
Optionally, the ground sampling distance calculating module includes:
and inquiring and acquiring the entity size of the component of the specification model to which the fault component belongs from a preset database according to the identifier of the fault component.
Calculating the ground sampling distance of the infrared picture according to the following formula:
wherein GSD is the ground sampling distance; a and B are the pixel length value and the pixel width value of the pixel coordinate of the circumscribed rectangular frame of the fault component respectively; s and T are the actual length value and the actual width value of the fault component respectively.
Optionally, the faulty component identification module includes:
and identifying a fault component generating hot spots in the infrared picture and the pixel coordinates of the rectangular frame at the position of the fault component by using an algorithm model.
Optionally, the coordinate calculation module includes:
calculating the geographical coordinate of the central point of the external rectangular frame of the fault component in the infrared picture according to the following formula by the ground sampling distance, the pixel coordinate of the external rectangular frame of the fault component and the geographical coordinate of the global positioning system of the central point of the infrared picture:
X＝CX+(x1-x2)*GSD
Y＝CY+(y1-y2)*GSD
wherein the content of the first and second substances,
(x1, y1) is the pixel coordinate of the center point of the infrared picture;
(x2, y2) is the pixel coordinate of the center point of a rectangle circumscribed by the center point of the fault assembly;
(CX, CY) is a global positioning system geographic coordinate at the infrared picture center point;
(X, Y) is a geographical coordinate of a central point of a rectangular frame externally connected with the fault assembly;
GSD is the ground sampling distance.
Optionally, the apparatus further comprises:
the position correction module is used for correcting the geographic coordinates of the fault components in the infrared picture according to the unmanned aerial vehicle course angle recorded when the unmanned aerial vehicle collects the infrared picture so as to match the power station panoramic electronic map;
and the position calibration module is used for converting the geographical coordinates of the fault component in the corrected infrared picture into longitude and latitude coordinates and calibrating the fault component at the position corresponding to the longitude and latitude position of the power station panoramic electronic map.
The device can execute the positioning method of the fault assembly provided by any embodiment of the invention, and has the corresponding functional module and beneficial effect of executing the positioning method of the fault assembly.
Example four
Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention, as shown in fig. 4, the electronic device includes a processor 410, a memory 420, an input device 430, and an output device 440; the number of the processors 410 in the device may be one or more, and one processor 410 is taken as an example in fig. 4; the processor 410, the memory 420, the input device 430 and the output device 440 in the apparatus may be connected by a bus or other means, for example, in fig. 4.
The memory 420 serves as a computer-readable storage medium, and may be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the positioning method of the faulty component in the embodiment of the present invention (for example, the picture collecting module 310, the faulty component identifying module 320, the ground sampling distance calculating module 330, and the coordinate calculating module 340 in the positioning device of the faulty component). The processor 410 executes various functional applications and data processing of the electronic device by executing software programs, instructions and modules stored in the memory 420, that is, the above-described method for locating a faulty component is implemented.
The memory 420 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 420 may further include memory located remotely from processor 410, which may be connected to an electronic device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 430 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the apparatus. The output device 440 may include a display device such as a display screen.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for locating a faulty component, the method including:
acquiring an infrared picture of the power equipment acquired by the unmanned aerial vehicle;
identifying the infrared picture to determine a component with set fault characteristics as a fault component, and identifying and determining the contour coordinate of the position of the fault component;
determining the ground sampling distance of the infrared picture according to the contour coordinate of the fault component and the entity size of the fault component;
and calculating the geographic coordinate of the fault component according to the geographic coordinate of the infrared picture and the ground sampling distance.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the method for locating a faulty component provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the positioning apparatus for a faulty component, the included units and modules are merely divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (11)
1. A method for locating a faulty component, comprising:
acquiring an infrared picture of the power equipment acquired by the unmanned aerial vehicle;
identifying the infrared picture to determine a component with set fault characteristics as a fault component, and identifying and determining the contour coordinate of the position of the fault component;
determining the ground sampling distance of the infrared picture according to the contour coordinate of the fault component and the entity size of the fault component;
and calculating the geographic coordinate of the fault component according to the geographic coordinate of the infrared picture and the ground sampling distance.
2. The method of claim 1, wherein the outline coordinates are circumscribed rectangular box pixel coordinates of the failed component.
3. The method of claim 1, wherein determining the ground sample distance of the infrared picture from the contour coordinates of the failed component and the physical dimensions of the failed component comprises:
calculating the ground sampling distance of the infrared picture according to the following formula:
wherein GSD is the ground sampling distance; a and B are the pixel length value and the pixel width value of the pixel coordinate of the circumscribed rectangular frame of the fault component respectively; s and T are the actual length value and the actual width value of the fault component respectively.
4. The method of claim 1, wherein identifying the infrared picture to determine that a component with a set fault characteristic exists as a faulty component, and wherein identifying the contour coordinates of the location of the faulty component comprises:
and identifying a fault component generating hot spots in the infrared picture and the pixel coordinates of the rectangular frame at the position of the fault component by using an algorithm model.
5. The method of claim 1, wherein prior to determining the ground sampling distance of the infrared picture based on the contour coordinates of the failed component and the physical dimensions of the failed component, further comprising:
and inquiring and acquiring the entity size of the component of the specification model to which the fault component belongs from a preset database according to the identifier of the fault component.
6. The method of claim 1, wherein calculating the geographic coordinates of the failed component from the geographic coordinates of the infrared picture and the ground sample distance comprises:
calculating the geographical coordinate of the central point of the external rectangular frame of the fault component in the infrared picture according to the following formula by the ground sampling distance, the pixel coordinate of the external rectangular frame of the fault component and the geographical coordinate of the global positioning system of the central point of the infrared picture:
X＝CX+(x1-x2)*GSD
Y＝CY+(y1-y2)*GSD
wherein the content of the first and second substances,
(x1, y1) is the pixel coordinate of the center point of the infrared picture;
(x2, y2) is the pixel coordinate of the center point of a rectangle circumscribed by the center point of the fault assembly;
(CX, CY) is a global positioning system geographic coordinate at the infrared picture center point;
(X, Y) is a geographical coordinate of a central point of a rectangular frame externally connected with the fault assembly;
GSD is the ground sampling distance.
7. The method of claim 1, wherein after calculating the geographic coordinates of the failed component, further comprising:
according to the course angle of the unmanned aerial vehicle recorded when the unmanned aerial vehicle collects the infrared picture, correcting the geographic coordinates of the fault assembly in the infrared picture so as to match the power station panoramic electronic map;
and converting the geographical coordinates of the fault components in the corrected infrared picture into longitude and latitude coordinates, and calibrating the fault components at the corresponding longitude and latitude positions of the power station panoramic electronic map.
8. The method of claim 7, wherein the correcting geographic coordinates of the faulty component in the infrared picture to match the power station panoramic electronic map according to the unmanned aerial vehicle course angle recorded when the unmanned aerial vehicle collects the infrared picture comprises:
and correcting the geographic coordinates of the fault component in the infrared picture according to the following formula:
b＝n-a-c
|OB|＝|OP|*cos b
|OC|＝|OP|*sin b
wherein:
a is the course angle of the unmanned aerial vehicle;
p is a central coordinate point of the fault assembly;
PA is the longitudinal distance between the point P and the coordinate position of the central point of the infrared picture;
OA is the transverse distance between the point P and the coordinate position of the central point of the infrared picture;
OP is the distance from the point P to the coordinate position of the central point of the infrared picture;
(OC, OB) are the position coordinates of point P in the geographical coordinate system.
9. A device for locating a faulty component, comprising:
the image acquisition module is used for acquiring the infrared image of the power equipment acquired by the unmanned aerial vehicle;
the fault component identification module is used for identifying the infrared picture so as to determine a component with set fault characteristics as a fault component and identify and determine the contour coordinate of the position of the fault component;
the ground sampling distance calculation module is used for determining the ground sampling distance of the infrared picture according to the outline coordinate of the fault assembly and the entity size of the fault assembly;
and the coordinate calculation module is used for calculating the geographic coordinate of the fault component according to the geographic coordinate of the infrared picture and the ground sampling distance.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method for locating a faulty component according to any of claims 1 to 8 when executing the program.
11. A storage medium containing computer-executable instructions for performing the method of locating a faulty component according to any one of claims 1 to 8 when executed by a computer processor.
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