CN113867400A - Unmanned aerial vehicle-based photovoltaic power generation equipment patrol processing method and system - Google Patents
Unmanned aerial vehicle-based photovoltaic power generation equipment patrol processing method and system Download PDFInfo
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- 238000007689 inspection Methods 0.000 claims description 16
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Abstract
The application discloses a photovoltaic power generation equipment patrol processing method and system based on an unmanned aerial vehicle, and the method comprises the following steps: acquiring the laying area of the photovoltaic panel in a preset area; acquiring the number of photovoltaic panels of which the flying distance of the unmanned aerial vehicle can be inspected according to the electric quantity of the unmanned aerial vehicle and the size of each photovoltaic panel; the method comprises the steps of obtaining the number of unmanned aerial vehicles supported by an unmanned aerial vehicle base station, and determining the first number of photovoltaic panels which can be supported by each unmanned aerial vehicle base station according to the number of the unmanned aerial vehicles supported by the unmanned aerial vehicle base station and the number of the photovoltaic panels which can be inspected by each unmanned aerial vehicle; dividing the predetermined area into a plurality of sub-areas according to the laying area of the predetermined area. Through the method and the device, the problem that the deployment of the base station of the unmanned aerial vehicle cannot be reasonably evaluated in the prior art is solved, so that the reasonability and the scientificity of the unmanned aerial vehicle for patrolling the photovoltaic equipment and the deployment of the base station are improved, and support is provided for improving the patrolling efficiency of the unmanned aerial vehicle.
Description
Technical Field
The application relates to the field of photovoltaics, in particular to a photovoltaic power generation equipment inspection processing method and system based on an unmanned aerial vehicle.
Background
Photovoltaic system generally sets up the spacious region of comparison, and the photovoltaic board can lay by a large scale, whether can need to examine the photovoltaic board at this time and exist the foreign matter, if there is the foreign matter can lead to the photovoltaic board to generate heat unusually, can damage the photovoltaic board even.
The two inspection modes are adopted, one mode is to perform inspection by manpower, and the cost of the manual inspection is higher. In order to reduce cost, use unmanned aerial vehicle to patrol at present and replace artifical patrol, consider unmanned aerial vehicle's electric quantity and patrol mode, in order to reach the purpose of full-automatic patrol, need distribute to unmanned aerial vehicle's basic station and calculate, use the basic station to charge unmanned aerial vehicle. At present, no technical scheme can reasonably evaluate deployment of an unmanned aerial vehicle base station and an unmanned aerial vehicle flight plan, so that the inspection opportunity of the unmanned aerial vehicle on the photovoltaic panel is not accurate enough.
Disclosure of Invention
The embodiment of the application provides a photovoltaic power generation equipment patrol processing method and system based on an unmanned aerial vehicle, and aims to at least solve the problem caused by the fact that reasonable evaluation is not carried out on deployment of an unmanned aerial vehicle base station in the prior art.
According to one aspect of the application, a photovoltaic power generation equipment patrol processing method based on an unmanned aerial vehicle is provided, and comprises the following steps: the method comprises the steps of obtaining the laying area of a photovoltaic panel in a preset area, wherein the photovoltaic panel is laid in the preset area; acquiring the number of photovoltaic panels of which the flying distance of the unmanned aerial vehicle can be inspected according to the electric quantity of the unmanned aerial vehicle and the size of each photovoltaic panel; the method comprises the steps of obtaining the number of unmanned aerial vehicles supported by an unmanned aerial vehicle base station, and determining the first number of photovoltaic panels which can be supported by each unmanned aerial vehicle base station according to the number of the unmanned aerial vehicles supported by the unmanned aerial vehicle base station and the number of the photovoltaic panels which can be inspected by each unmanned aerial vehicle; dividing the predetermined area into a plurality of sub-areas according to the laying area of the predetermined area, wherein the number of photovoltaic panels included in each sub-area is less than or equal to the first number; all set up one in every subregion the unmanned aerial vehicle basic station, wherein, the unmanned aerial vehicle basic station is used for berthing unmanned aerial vehicle and charges for improving the unmanned aerial vehicle in this unmanned aerial vehicle basic station.
Further, still include: and storing the division mode of the plurality of sub-areas in a server.
Further, still include: sending the division mode of the plurality of sub-areas to a worker who sets the unmanned aerial vehicle base station; receiving the modification of the division mode by the staff; determining whether all the unmanned aerial vehicles in each sub-area can finish the inspection of all the photovoltaic panels in the sub-area under the condition that all the unmanned aerial vehicles in each sub-area are not charged according to the modified dividing mode; and if the partition mode can be completed, storing the modified partition mode in the server.
Further, still include: and if the partition mode cannot be modified, sending prompt information, wherein the prompt information is used for indicating that the modification of the partition mode by the staff is problematic.
Further, still carry the sub-area's that does not accord with the requirement identification information in the tip information, wherein, the sub-area that does not accord with the requirement can't once only accomplish patrolling and examining to all photovoltaic panels in this sub-area for all unmanned aerial vehicles in this sub-area under the condition that does not charge.
According to another aspect of the application, still provide a photovoltaic power generation equipment patrols processing system based on unmanned aerial vehicle, include: the device comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the laying area of a photovoltaic panel in a preset area, and the photovoltaic panel is laid in the preset area; the second acquisition module is used for acquiring the number of photovoltaic panels of which the flying distance of the unmanned aerial vehicle can be inspected according to the electric quantity of the unmanned aerial vehicle and the size of each photovoltaic panel; the third acquisition module is used for acquiring the number of the unmanned aerial vehicles supported by the unmanned aerial vehicle base station, and determining the first number of the photovoltaic panels which can be supported by each unmanned aerial vehicle base station according to the number of the unmanned aerial vehicles supported by the unmanned aerial vehicle base station and the number of the photovoltaic panels which can be inspected by each unmanned aerial vehicle; the dividing module is used for dividing the preset region into a plurality of sub-regions according to the laying area of the preset region, wherein the number of the photovoltaic panels in each sub-region is less than or equal to the first number; all set up one in every subregion the unmanned aerial vehicle basic station, wherein, the unmanned aerial vehicle basic station is used for berthing unmanned aerial vehicle and charges for improving the unmanned aerial vehicle in this unmanned aerial vehicle basic station.
Further, still include: and the storage module is used for storing the division modes of the plurality of sub-areas in a server.
Further, the saving module is further configured to: sending the division mode of the plurality of sub-areas to a worker who sets the unmanned aerial vehicle base station; receiving the modification of the division mode by the staff; determining whether all the unmanned aerial vehicles in each sub-area can finish the inspection of all the photovoltaic panels in the sub-area under the condition that all the unmanned aerial vehicles in each sub-area are not charged according to the modified dividing mode; and if the partition mode can be completed, storing the modified partition mode in the server.
Further, the saving module is further configured to: and if the partition mode cannot be modified, sending prompt information, wherein the prompt information is used for indicating that the modification of the partition mode by the staff is problematic.
Further, still carry the sub-area's that does not accord with the requirement identification information in the tip information, wherein, the sub-area that does not accord with the requirement can't once only accomplish patrolling and examining to all photovoltaic panels in this sub-area for all unmanned aerial vehicles in this sub-area under the condition that does not charge.
In the embodiment of the application, the method comprises the steps of obtaining the laying area of a photovoltaic panel in a preset area, wherein the photovoltaic panel is laid in the preset area; acquiring the number of photovoltaic panels of which the flying distance of the unmanned aerial vehicle can be inspected according to the electric quantity of the unmanned aerial vehicle and the size of each photovoltaic panel; the method comprises the steps of obtaining the number of unmanned aerial vehicles supported by an unmanned aerial vehicle base station, and determining the first number of photovoltaic panels which can be supported by each unmanned aerial vehicle base station according to the number of the unmanned aerial vehicles supported by the unmanned aerial vehicle base station and the number of the photovoltaic panels which can be inspected by each unmanned aerial vehicle; dividing the predetermined area into a plurality of sub-areas according to the laying area of the predetermined area, wherein the number of photovoltaic panels included in each sub-area is less than or equal to the first number; all set up one in every subregion the unmanned aerial vehicle basic station, wherein, the unmanned aerial vehicle basic station is used for berthing unmanned aerial vehicle and charges for improving the unmanned aerial vehicle in this unmanned aerial vehicle basic station. Through the method and the device, the problem that the deployment of the base station of the unmanned aerial vehicle cannot be reasonably evaluated in the prior art is solved, so that the reasonability and the scientificity of the unmanned aerial vehicle for patrolling the photovoltaic equipment and the deployment of the base station are improved, and support is provided for improving the patrolling efficiency of the unmanned aerial vehicle.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flowchart of a photovoltaic power generation device patrol processing method based on an unmanned aerial vehicle according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
In this embodiment, a photovoltaic power generation equipment patrol processing method based on an unmanned aerial vehicle is provided, and fig. 1 is a flowchart of a photovoltaic power generation equipment patrol processing method based on an unmanned aerial vehicle according to an embodiment of the present application, and as shown in fig. 1, the flowchart includes the following steps:
step S102, obtaining the laying area of a photovoltaic panel in a preset area, wherein the photovoltaic panel is laid in the preset area;
step S104, acquiring the number of photovoltaic panels of which the flying distance of the unmanned aerial vehicle can be inspected according to the electric quantity of the unmanned aerial vehicle and the size of each photovoltaic panel;
step S106, acquiring the number of unmanned aerial vehicles supported by an unmanned aerial vehicle base station, and determining a first number of photovoltaic panels which can be supported by each unmanned aerial vehicle base station according to the number of unmanned aerial vehicles supported by the unmanned aerial vehicle base station and the number of photovoltaic panels which can be inspected by each unmanned aerial vehicle;
step S108, dividing the preset area into a plurality of sub-areas according to the laying area of the preset area, wherein the number of the photovoltaic panels in each sub-area is less than or equal to the first number; all set up one in every subregion the unmanned aerial vehicle basic station, wherein, the unmanned aerial vehicle basic station is used for berthing unmanned aerial vehicle and charges for improving the unmanned aerial vehicle in this unmanned aerial vehicle basic station.
Through the steps, the problem caused by the fact that reasonable evaluation is not carried out on deployment of the base station of the unmanned aerial vehicle in the prior art is solved, so that the rationality and the scientificity of the unmanned aerial vehicle for patrolling the photovoltaic equipment and the deployment of the base station are improved, and support is provided for improving the patrolling efficiency of the unmanned aerial vehicle.
In an optional embodiment, the division manner of the plurality of sub-areas may also be stored in the server.
The sub-area division can be confirmed by workers, and the division modes of the plurality of sub-areas can be sent to the workers who set the unmanned aerial vehicle base station; receiving the modification of the division mode by the staff; determining whether all the unmanned aerial vehicles in each sub-area can finish the inspection of all the photovoltaic panels in the sub-area under the condition that all the unmanned aerial vehicles in each sub-area are not charged according to the modified dividing mode; and if the partition mode can be completed, storing the modified partition mode in the server. Optionally, if the partition mode cannot be modified, sending a prompt message, wherein the prompt message is used for indicating that the modification of the partition mode by the staff is problematic. The prompt information can also carry identification information of the unqualified subareas, wherein the unqualified subareas can not finish the inspection of all the photovoltaic panels in the subareas at one time under the condition that all the unmanned aerial vehicles in the subareas are not charged.
In an optional implementation manner, the flight route of each drone may be further planned according to the number of drones in each drone base station and the number of panels in a sub-area where the drone base station is located, where the total path passed by the flight route of each drone covers all the panels in the sub-area. After the flight route of each unmanned aerial vehicle is planned, the planned flight route is sent to an unmanned aerial vehicle base station and sent to each unmanned aerial vehicle by the unmanned aerial vehicle base station.
As another optional implementation, it may further obtain weather of each day in a predetermined time period in the future, determine a time of flight of the drone (i.e., a patrol time of the drone) of each day according to the weather of each day, send the determined patrol time of the drone to the drone base station in the predetermined area, and control the drone to execute the flight route according to the received patrol time by the drone base station.
Judging whether the solar cell panel breaks down according to the image shot by the unmanned aerial vehicle, if so, sending a flight command to an unmanned aerial vehicle base station, receiving the command by the unmanned aerial vehicle base station, controlling other unmanned aerial vehicles except for shooting the image to shoot the position of the image again, and if the judgment result in the image shot again is still broken down, determining that the solar cell panel breaks down.
There are many ways to judge the occurrence of the fault, for example, graying the image collected by the unmanned aerial vehicle, extracting a single solar cell panel in the grayscale image information and numbering the solar cell panel to obtain the corner point coordinate information of each solar cell panel; further acquiring the vertical and horizontal slopes of two adjacent edges of the corresponding solar cell panel according to the angular point coordinate information; judging whether the slopes of any two adjacent cell panels are equal, and if the slopes are not equal, judging that the solar cell panel has a rotation fault; then extracting the shadow areas of two adjacent solar panels, and acquiring the shape characteristics of the shadow areas of the solar panels and/or the change characteristics of the shadow areas under different time sequences; and finally, judging the rotation fault category of the solar panel according to the shape characteristic and/or the change characteristic of the shadow area.
As another optional embodiment, a plurality of positions for setting the drone base station in each sub-area are configured in advance, for example, in the case that the shape of the sub-area is a rectangle, the plurality of positions include a plurality of vertices of the rectangle and a center point of the rectangle; and respectively setting the unmanned aerial vehicle base station at each position, calculating paths obtained by adding flying routes of all unmanned aerial vehicles when the unmanned aerial vehicles of the unmanned aerial vehicle base station traverse the sub-area at each position, acquiring a position corresponding to the shortest path, and determining the position corresponding to the shortest path when the unmanned aerial vehicle base station is set in the plurality of positions.
And storing the shape and the area of the predetermined area and the set position of the unmanned aerial vehicle base station as data, and uploading the data to a server. The server takes the shape and the area of the preset area as input data, takes the position set by the unmanned aerial vehicle base station as output data, and stores the input data and the output data as a group of training data; the server judges whether the number of the stored groups of the training data exceeds a threshold value, if so, the server sends all the training data to the training server, the training server is used for training a machine learning engine, and the machine learning engine can be used after the training convergence. And inputting the area and the shape of a certain area into the machine learning engine, and outputting the data of the machine learning engine to the position of the unmanned aerial vehicle base station in the area.
The unmanned aerial vehicle base station supplies power through a solar cell panel in a sub-area where the unmanned aerial vehicle base station is located.
In this embodiment, an electronic device is provided, comprising a memory in which a computer program is stored and a processor configured to run the computer program to perform the method in the above embodiments.
The programs described above may be run on a processor or may also be stored in memory (or referred to as computer-readable media), which includes both non-transitory and non-transitory, removable and non-removable media, that implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
These computer programs may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks, and corresponding steps may be implemented by different modules.
Such an apparatus or system is provided in this embodiment. The system is called photovoltaic power generation equipment patrolling processing system based on unmanned aerial vehicle, includes: the device comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the laying area of a photovoltaic panel in a preset area, and the photovoltaic panel is laid in the preset area; the second acquisition module is used for acquiring the number of photovoltaic panels of which the flying distance of the unmanned aerial vehicle can be inspected according to the electric quantity of the unmanned aerial vehicle and the size of each photovoltaic panel; the third acquisition module is used for acquiring the number of the unmanned aerial vehicles supported by the unmanned aerial vehicle base station, and determining the first number of the photovoltaic panels which can be supported by each unmanned aerial vehicle base station according to the number of the unmanned aerial vehicles supported by the unmanned aerial vehicle base station and the number of the photovoltaic panels which can be inspected by each unmanned aerial vehicle; the dividing module is used for dividing the preset region into a plurality of sub-regions according to the laying area of the preset region, wherein the number of the photovoltaic panels in each sub-region is less than or equal to the first number; all set up one in every subregion the unmanned aerial vehicle basic station, wherein, the unmanned aerial vehicle basic station is used for berthing unmanned aerial vehicle and charges for improving the unmanned aerial vehicle in this unmanned aerial vehicle basic station.
The system or the apparatus is used for implementing the functions of the method in the foregoing embodiments, and each module in the system or the apparatus corresponds to each step in the method, which has been described in the method and is not described herein again.
For example, it also includes: and the storage module is used for storing the division modes of the plurality of sub-areas in a server. Optionally, the saving module is further configured to: sending the division mode of the plurality of sub-areas to a worker who sets the unmanned aerial vehicle base station; receiving the modification of the division mode by the staff; determining whether all the unmanned aerial vehicles in each sub-area can finish the inspection of all the photovoltaic panels in the sub-area under the condition that all the unmanned aerial vehicles in each sub-area are not charged according to the modified dividing mode; and if the partition mode can be completed, storing the modified partition mode in the server.
For another example, the saving module is further configured to: and if the partition mode cannot be modified, sending prompt information, wherein the prompt information is used for indicating that the modification of the partition mode by the staff is problematic. Optionally, the prompt information further carries identification information of an unqualified sub-area, wherein the unqualified sub-area is a condition that all unmanned aerial vehicles in the sub-area cannot finish the inspection of all photovoltaic panels in the sub-area at one time without charging.
The problem that the deployment of unmanned aerial vehicle basic station does not carry out reasonable aassessment and lead to among the prior art has been solved through this embodiment to improve the unmanned aerial vehicle of patrolling photovoltaic equipment and the rationality and the scientificity of basic station deployment, provide support for improving unmanned aerial vehicle's inspection efficiency.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A photovoltaic power generation equipment patrol processing method based on an unmanned aerial vehicle is characterized by comprising the following steps:
the method comprises the steps of obtaining the laying area of a photovoltaic panel in a preset area, wherein the photovoltaic panel is laid in the preset area;
acquiring the number of photovoltaic panels of which the flying distance of the unmanned aerial vehicle can be inspected according to the electric quantity of the unmanned aerial vehicle and the size of each photovoltaic panel;
the method comprises the steps of obtaining the number of unmanned aerial vehicles supported by an unmanned aerial vehicle base station, and determining the first number of photovoltaic panels which can be supported by each unmanned aerial vehicle base station according to the number of the unmanned aerial vehicles supported by the unmanned aerial vehicle base station and the number of the photovoltaic panels which can be inspected by each unmanned aerial vehicle;
dividing the predetermined area into a plurality of sub-areas according to the laying area of the predetermined area, wherein the number of photovoltaic panels included in each sub-area is less than or equal to the first number; all set up one in every subregion the unmanned aerial vehicle basic station, wherein, the unmanned aerial vehicle basic station is used for berthing unmanned aerial vehicle and charges for improving the unmanned aerial vehicle in this unmanned aerial vehicle basic station.
2. The method of claim 1, further comprising:
and storing the division mode of the plurality of sub-areas in a server.
3. The method of claim 2, further comprising:
sending the division mode of the plurality of sub-areas to a worker who sets the unmanned aerial vehicle base station;
receiving the modification of the division mode by the staff;
determining whether all the unmanned aerial vehicles in each sub-area can finish the inspection of all the photovoltaic panels in the sub-area under the condition that all the unmanned aerial vehicles in each sub-area are not charged according to the modified dividing mode;
and if the partition mode can be completed, storing the modified partition mode in the server.
4. The method of claim 3, further comprising:
and if the partition mode cannot be modified, sending prompt information, wherein the prompt information is used for indicating that the modification of the partition mode by the staff is problematic.
5. The method according to claim 4, wherein the prompt information further carries identification information of an unsatisfactory sub-area, wherein the unsatisfactory sub-area is such that all the unmanned aerial vehicles in the sub-area cannot complete the inspection of all the photovoltaic panels in the sub-area at one time without charging.
6. The utility model provides a photovoltaic power generation equipment patrols processing system based on unmanned aerial vehicle which characterized in that includes:
the device comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the laying area of a photovoltaic panel in a preset area, and the photovoltaic panel is laid in the preset area;
the second acquisition module is used for acquiring the number of photovoltaic panels of which the flying distance of the unmanned aerial vehicle can be inspected according to the electric quantity of the unmanned aerial vehicle and the size of each photovoltaic panel;
the third acquisition module is used for acquiring the number of the unmanned aerial vehicles supported by the unmanned aerial vehicle base station, and determining the first number of the photovoltaic panels which can be supported by each unmanned aerial vehicle base station according to the number of the unmanned aerial vehicles supported by the unmanned aerial vehicle base station and the number of the photovoltaic panels which can be inspected by each unmanned aerial vehicle;
the dividing module is used for dividing the preset region into a plurality of sub-regions according to the laying area of the preset region, wherein the number of the photovoltaic panels in each sub-region is less than or equal to the first number; all set up one in every subregion the unmanned aerial vehicle basic station, wherein, the unmanned aerial vehicle basic station is used for berthing unmanned aerial vehicle and charges for improving the unmanned aerial vehicle in this unmanned aerial vehicle basic station.
7. The system of claim 6, further comprising:
and the storage module is used for storing the division modes of the plurality of sub-areas in a server.
8. The system of claim 7, wherein the save module is further configured to:
sending the division mode of the plurality of sub-areas to a worker who sets the unmanned aerial vehicle base station;
receiving the modification of the division mode by the staff;
determining whether all the unmanned aerial vehicles in each sub-area can finish the inspection of all the photovoltaic panels in the sub-area under the condition that all the unmanned aerial vehicles in each sub-area are not charged according to the modified dividing mode;
and if the partition mode can be completed, storing the modified partition mode in the server.
9. The system of claim 8, wherein the save module is further configured to:
and if the partition mode cannot be modified, sending prompt information, wherein the prompt information is used for indicating that the modification of the partition mode by the staff is problematic.
10. The system according to claim 9, wherein the prompt information further carries identification information of an unsatisfactory sub-area, wherein the unsatisfactory sub-area is a sub-area in which all the drones cannot complete the inspection of all the photovoltaic panels at one time without charging.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115016528A (en) * | 2022-05-23 | 2022-09-06 | 贵州丰立空间科技有限公司 | Photovoltaic board inspection system based on unmanned aerial vehicle |
| CN117192288A (en) * | 2023-09-22 | 2023-12-08 | 河南蓝犀牛工业装备技术有限公司 | Smart distribution network fault positioning method and system |
| CN118012100A (en) * | 2024-02-07 | 2024-05-10 | 德小易信息科技有限公司 | Unmanned aerial vehicle intelligent photovoltaic power station inspection method and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020050461A1 (en) * | 2018-09-04 | 2020-03-12 | 주식회사 아이온커뮤니케이션즈 | Method and system for inspecting solar panel using drone |
| CN111523458A (en) * | 2020-04-22 | 2020-08-11 | 中国电建集团贵州电力设计研究院有限公司 | Photovoltaic power plant unmanned aerial vehicle inspection method and system based on machine learning |
| WO2021102796A1 (en) * | 2019-11-28 | 2021-06-03 | 深圳市大疆创新科技有限公司 | Position determination method for unmanned aerial vehicle base station, terminal, and computer readable storage medium |
-
2021
- 2021-10-28 CN CN202111266670.4A patent/CN113867400B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020050461A1 (en) * | 2018-09-04 | 2020-03-12 | 주식회사 아이온커뮤니케이션즈 | Method and system for inspecting solar panel using drone |
| WO2021102796A1 (en) * | 2019-11-28 | 2021-06-03 | 深圳市大疆创新科技有限公司 | Position determination method for unmanned aerial vehicle base station, terminal, and computer readable storage medium |
| CN111523458A (en) * | 2020-04-22 | 2020-08-11 | 中国电建集团贵州电力设计研究院有限公司 | Photovoltaic power plant unmanned aerial vehicle inspection method and system based on machine learning |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115016528A (en) * | 2022-05-23 | 2022-09-06 | 贵州丰立空间科技有限公司 | Photovoltaic board inspection system based on unmanned aerial vehicle |
| CN115016528B (en) * | 2022-05-23 | 2023-03-10 | 贵州丰立空间科技有限公司 | Photovoltaic board inspection system based on unmanned aerial vehicle |
| CN117192288A (en) * | 2023-09-22 | 2023-12-08 | 河南蓝犀牛工业装备技术有限公司 | Smart distribution network fault positioning method and system |
| CN118012100A (en) * | 2024-02-07 | 2024-05-10 | 德小易信息科技有限公司 | Unmanned aerial vehicle intelligent photovoltaic power station inspection method and system |
| CN118012100B (en) * | 2024-02-07 | 2024-08-02 | 德小易信息科技有限公司 | Unmanned aerial vehicle intelligent photovoltaic power station inspection method and system |
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