CN114373136A - Unmanned aerial vehicle-based power inspection method and system and computer storage medium - Google Patents

Unmanned aerial vehicle-based power inspection method and system and computer storage medium Download PDF

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CN114373136A
CN114373136A CN202210052483.4A CN202210052483A CN114373136A CN 114373136 A CN114373136 A CN 114373136A CN 202210052483 A CN202210052483 A CN 202210052483A CN 114373136 A CN114373136 A CN 114373136A
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inspection
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於峰成
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Zhejiang Wanbang Intelligent Technology Co ltd
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Zhejiang Wanbang Intelligent Technology Co ltd
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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C1/00Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/20Checking timed patrols, e.g. of watchman

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Abstract

The application discloses electric power inspection method based on unmanned aerial vehicle, includes: controlling the unmanned aerial vehicle to check according to a preset power patrol route to obtain a patrol image; comparing the inspection image with a preset inspection bottom plate, and identifying inspection abnormal characteristics; analyzing the inspection abnormal characteristics according to a preset characteristic analysis standard to obtain an inspection abnormal type; obtaining an inspection abnormal place according to the inspection abnormal feature and the power inspection route; and obtaining an inspection abnormal result according to the inspection abnormal characteristic, the inspection abnormal type and the inspection abnormal place, so that the interference item is identified in the process of carrying out power inspection on the unmanned aerial vehicle, and an accurate inspection result is obtained. The application discloses an electric power system of patrolling and examining and computer storage medium also have corresponding technological effect based on unmanned aerial vehicle.

Description

Unmanned aerial vehicle-based power inspection method and system and computer storage medium
Technical Field
The application relates to the technical field of power systems, in particular to a power inspection method and system based on an unmanned aerial vehicle and a computer storage medium.
Background
The distribution range of the power transmission line is wide, the environment where the power transmission line is located is generally severe, the power transmission line can be inevitably damaged, if the problems cannot be found and handled in time, great hidden dangers can be brought to the stable operation of the power transmission line, and the power system is difficult to operate effectively or be maintained in time.
However, at present, the traditional maintenance mode of the power system is basically completed through manual line patrol, the labor intensity is high, the patrol efficiency is low, in addition, the power transmission line patrol is also performed through an unmanned aerial vehicle, but the existing unmanned aerial vehicle patrol method is simple, interference items in patrol can not be identified, such as leaves, ice and snow, and accurate patrol results can be obtained.
Therefore, how to identify the interference item in the power inspection process of the unmanned aerial vehicle and obtain an accurate inspection result is a technical problem to be solved urgently by technical personnel in the field.
Disclosure of Invention
The application provides an unmanned aerial vehicle-based power inspection method, system and computer storage medium, which are used for identifying interference items in the process of power inspection of an unmanned aerial vehicle to obtain an accurate inspection result.
In order to achieve the above object, the present application provides a power inspection method based on an unmanned aerial vehicle, including:
controlling the unmanned aerial vehicle to check according to a preset power patrol route to obtain a patrol image;
comparing the inspection image with a preset inspection bottom plate, and identifying inspection abnormal characteristics;
analyzing the inspection abnormal characteristics according to a preset characteristic analysis standard to obtain an inspection abnormal type;
obtaining an inspection abnormal place according to the inspection abnormal feature and the power inspection route;
and obtaining an inspection abnormal result according to the inspection abnormal feature, the inspection abnormal type and the inspection abnormal place.
Through adopting foretell technical scheme, carry out the electric power at unmanned aerial vehicle and patrol and examine the in-process discernment interference item, obtain accurate result of patrolling and examining.
Optionally, control unmanned aerial vehicle patrols and examines according to preset electric power route, obtains patrolling and examining the image, includes:
acquiring a starting position and an end position of the unmanned aerial vehicle;
determining the power patrol route from a preset patrol route library according to the starting point position and the end point position;
dividing the power inspection route into a plurality of subsection inspection routes, controlling the unmanned aerial vehicle to inspect according to the power inspection routes, and obtaining subsection inspection images of each subsection inspection route;
and obtaining the inspection image according to all the segmented inspection images.
Through adopting foretell technical scheme, select the electric power route of patrolling and examining according to unmanned aerial vehicle's starting point position and terminal point position, divide into a plurality of sections and patrol and examine, accurately obtain and patrol and examine the image.
Optionally, will patrol and examine the image and compare with the predetermined bottom plate of patrolling and examining, the identification is patrolled and examined unusual characteristics, includes:
comparing all the segmented inspection images with the inspection bottom plate, and identifying the segmented inspection abnormal characteristics of each segmented inspection route;
and obtaining the routing inspection abnormal characteristic according to all the subsection routing inspection abnormal characteristics.
By adopting the technical scheme, the subsection inspection abnormal features of different subsection inspection images are possibly different, and the quantity of the subsection inspection abnormal features is possibly more than one, so that the subsection inspection abnormal features are identified, and the inspection abnormal features are accurately obtained.
Optionally, analyzing the inspection abnormal features according to a preset feature analysis standard to obtain an inspection abnormal type, including:
judging whether each subsection routing inspection abnormal characteristic meets an interferent analysis sub-standard in the characteristic analysis standard;
if yes, confirming that the subsection routing inspection abnormal feature is a routing inspection interference type in the routing inspection abnormal types;
if not, judging whether the subsection routing inspection abnormal characteristics meet the fault substance analysis sub-standard in the characteristic analysis standard or not;
and if so, confirming that the subsection inspection abnormal feature is an inspection fault type in the inspection abnormal types.
By adopting the technical scheme, the inspection abnormity is classified, and the interference item and the fault object are identified, so that an accurate inspection result is obtained.
Optionally, according to patrol and examine unusual characteristic with the route is patrolled and examined to electric power, obtain patrolling and examining unusual place, include:
obtaining a sectional inspection abnormal place of each sectional inspection abnormal feature according to each sectional inspection abnormal feature and the corresponding sectional inspection route;
and according to all the sectional inspection abnormal places, acquiring the inspection abnormal places.
By adopting the technical scheme, the sectional inspection abnormal places of the sectional inspection abnormal characteristics are marked, all the sectional inspection abnormal places are gathered to obtain the inspection abnormal places, and inspection personnel can accurately find the abnormal positions to facilitate subsequent maintenance and treatment.
Optionally, the patrol exception features mark different patrol exception types with different colors.
By adopting the technical scheme, different routing inspection abnormal types are marked by different colors, confusion is avoided, distinguishing is convenient, and routing inspection personnel can conveniently perform exception handling according to the priorities of the different routing inspection abnormal types.
Optionally, the obtaining of the inspection bottom plate includes:
acquiring an initial cable image;
judging whether the initial cable image is in a safe state:
if so, confirming that the initial cable image is the inspection bottom plate;
and if not, re-acquiring the initial cable image.
By adopting the technical scheme, before the unmanned aerial vehicle-based power inspection method is developed, the inspection bottom plate needs to be confirmed at first, so that the cable image of the inspection bottom plate in a safe state is ensured, and the inspection accuracy is ensured.
Optionally, the power inspection method according to any one of the above embodiments, further includes:
acquiring standard environment information of the inspection bottom plate;
acquiring real-time environment information in the power inspection process of the unmanned aerial vehicle;
analyzing whether the real-time environment information changes or not according to the standard environment information;
and if so, updating the inspection bottom plate.
Through adopting foretell technical scheme, in order to guarantee the accuracy of patrolling and examining, it needs to update according to environmental change to patrol and examine the bottom plate, and standard environmental information leads to bottom plate normal variation information including seasonal variation information, geological transformation information etc. and is of course not only limited to so, can also be other circumstances, and the user can set for according to actual demand.
In order to realize above-mentioned purpose, this application of second aspect still provides a power inspection system based on unmanned aerial vehicle, includes:
the inspection module is used for controlling the unmanned aerial vehicle to inspect according to a preset power inspection route to obtain an inspection image;
the identification module is used for comparing the inspection image with a preset inspection bottom plate and identifying inspection abnormal characteristics;
the analysis module is used for analyzing the routing inspection abnormal characteristics according to a preset characteristic analysis standard to obtain a routing inspection abnormal type;
the identification module is further used for obtaining an inspection abnormal place according to the inspection abnormal feature and the power inspection route;
the analysis module is further used for obtaining an inspection abnormal result according to the inspection abnormal feature, the inspection abnormal type and the inspection abnormal place.
Through adopting foretell technical scheme, carry out the electric power at unmanned aerial vehicle and patrol and examine the in-process discernment interference item, obtain accurate result of patrolling and examining.
In order to achieve the above object, the present application also provides a computer storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of the power patrol method according to any one of the above.
Through adopting foretell technical scheme, carry out the electric power at unmanned aerial vehicle and patrol and examine the in-process discernment interference item, obtain accurate result of patrolling and examining.
To sum up, the power inspection method, the power inspection system and the computer storage medium based on the unmanned aerial vehicle have the following comprehensive technical effects:
controlling the unmanned aerial vehicle to check according to a preset power patrol route to obtain a patrol image; comparing the inspection image with a preset inspection bottom plate, and identifying inspection abnormal characteristics; analyzing the inspection abnormal characteristics according to a preset characteristic analysis standard to obtain an inspection abnormal type; obtaining an inspection abnormal place according to the inspection abnormal feature and the power inspection route; and obtaining an inspection abnormal result according to the inspection abnormal characteristic, the inspection abnormal type and the inspection abnormal place, so that the interference item is identified in the process of carrying out power inspection on the unmanned aerial vehicle, and an accurate inspection result is obtained.
Drawings
Fig. 1 is a schematic flow diagram of an embodiment of an unmanned aerial vehicle-based power inspection method provided by the present application.
Fig. 2 is a schematic flow chart of a second embodiment of the unmanned aerial vehicle-based power inspection method provided by the present application.
Fig. 3 is a schematic flow diagram of a third embodiment of the unmanned aerial vehicle-based power inspection method provided by the present application.
Fig. 4 is a schematic flowchart of a fourth embodiment of the unmanned aerial vehicle-based power inspection method provided by the present application.
Fig. 5 is a schematic flowchart of a fifth embodiment of the unmanned aerial vehicle-based power inspection method provided by the present application.
Fig. 6 is a schematic flow diagram of a sixth embodiment of a power inspection method based on an unmanned aerial vehicle according to the present application.
Fig. 7 is a schematic structural diagram of an embodiment of an unmanned aerial vehicle-based power inspection system provided by the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It will be understood that when an element is referred to as being "fixed" or "disposed" on another element, it can be directly on the other element or be indirectly disposed on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It will be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, refer to an orientation or positional relationship illustrated in the drawings for convenience in describing the present application and to simplify description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "plurality" or "a plurality" means two or more unless specifically limited otherwise.
It should be understood that the structures, ratios, sizes, and the like shown in the drawings are only used for matching the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the practical limit conditions of the present application, so that the modifications of the structures, the changes of the ratio relationships, or the adjustment of the sizes, do not have the technical essence, and the modifications, the changes of the ratio relationships, or the adjustment of the sizes, are all within the scope of the technical contents disclosed in the present application without affecting the efficacy and the achievable purpose of the present application.
The embodiments of the present application are written in a progressive manner.
Please show in fig. 1, an embodiment of the present application provides an electric power inspection method based on an unmanned aerial vehicle, including:
s101, controlling an unmanned aerial vehicle to check according to a preset power inspection route to obtain an inspection image;
the unmanned aerial vehicle adopts Augmented Reality (AR for short), is a new technology for seamlessly integrating real world information and virtual world information, and is characterized in that entity information (visual information, sound, taste, touch and the like) which is difficult to experience in a certain time space range of the real world originally is overlapped after simulation through scientific technologies such as computers and the like, virtual information is applied to the real world and is perceived by human senses, and therefore the sensory experience beyond the Reality is achieved. The real environment and the virtual object are superimposed on the same picture or space in real time and exist simultaneously.
S102, comparing the inspection image with a preset inspection bottom plate, and identifying inspection abnormal characteristics;
wherein, patrol and examine the cable image that the bottom plate is safe state.
S103, analyzing the inspection abnormal characteristics according to a preset characteristic analysis standard to obtain an inspection abnormal type;
the inspection abnormal features comprise branch shielding, ice and snow covering, cable damage, cable position change, equipment corrosion and the like, and the types of the inspection abnormal features are identified to distinguish whether the inspection abnormal features are interferents or fault objects.
S104, obtaining an inspection abnormal place according to the inspection abnormal feature and the power inspection route;
wherein, unmanned aerial vehicle has navigation positioning function, when patrolling and examining according to the electric power route of predetermineeing, finds to gather and patrols and examines behind the unusual characteristic to record down simultaneously and patrol and examine unusual place.
And S105, obtaining an inspection abnormal result according to the inspection abnormal feature, the inspection abnormal type and the inspection abnormal place.
The routing inspection abnormal result can be a single routing inspection abnormal feature and a routing inspection abnormal place of the routing inspection abnormal type, and can also be all routing inspection abnormal features and routing inspection abnormal places of the routing inspection abnormal type, and the corresponding routing inspection abnormal result is selected according to the user requirement, so that routing inspection personnel can conveniently perform corresponding processing according to the priorities of different routing inspection abnormal types.
The implementation principle of the embodiment is as follows: controlling the unmanned aerial vehicle to check according to a preset power patrol route to obtain a patrol image; comparing the inspection image with a preset inspection bottom plate, and identifying inspection abnormal characteristics; analyzing the inspection abnormal characteristics according to a preset characteristic analysis standard to obtain an inspection abnormal type; obtaining an inspection abnormal place according to the inspection abnormal feature and the power inspection route; and obtaining an inspection abnormal result according to the inspection abnormal characteristic, the inspection abnormal type and the inspection abnormal place, so that the interference item is identified in the process of carrying out power inspection on the unmanned aerial vehicle, and an accurate inspection result is obtained.
In the above embodiment shown in fig. 1, the step S101 of controlling the unmanned aerial vehicle to check according to the preset power patrol route to obtain the patrol image is described in detail, as shown in fig. 2, specifically includes:
s201, acquiring a starting position and an end position of the unmanned aerial vehicle;
s202, determining a power patrol route from a preset patrol route library according to the starting position and the end position;
s203, dividing the power inspection route into a plurality of subsection inspection routes, controlling the unmanned aerial vehicle to inspect according to the power inspection route, and obtaining subsection inspection images of each subsection inspection route;
and S204, obtaining the inspection image according to all the segmented inspection images.
The implementation principle of the embodiment is as follows: the electric power inspection route is selected according to the starting point position and the end point position of the unmanned aerial vehicle, the unmanned aerial vehicle is divided into a plurality of sections to be inspected, and the inspection image is accurately obtained.
In the above embodiment shown in fig. 2, the detailed description of comparing the inspection image with the preset inspection base plate in step S102 and identifying the inspection abnormal feature is described, as shown in fig. 3, specifically including:
s301, comparing all the segmented inspection images with an inspection bottom plate, and identifying the segmented inspection abnormal characteristics of each segmented inspection route;
and S302, obtaining the inspection abnormal characteristics according to all the subsection inspection abnormal characteristics.
The implementation principle of the embodiment is as follows: the abnormal sectional inspection features of the different sectional inspection images are possibly different, and the number of the abnormal sectional inspection features is possibly more than one, so that the abnormal sectional inspection features are identified, and the abnormal inspection features are accurately obtained.
In the above embodiment shown in fig. 3, the detailed description of analyzing the patrol inspection abnormal feature according to the preset feature analysis criteria and obtaining the patrol inspection abnormal type in step S103 is specifically described, as shown in fig. 4, where:
s401, judging whether each subsection routing inspection abnormal feature meets an interferent analysis sub-standard in the feature analysis standard;
the interferent analysis sub-standard comprises interferent shielding analysis contents such as branch shielding, ice and snow covering and the like, and can be not only limited to the branch shielding and the ice and snow covering, but also other interferent shielding conditions, and a user can set the interferent shielding analysis contents according to actual requirements.
S402, if yes, confirming that the subsection inspection abnormal feature is an inspection interference type in the inspection abnormal types;
s403, if the fault analysis result does not meet the fault analysis standard, judging whether the sectional inspection abnormal characteristics meet the fault analysis sub-standard in the characteristic analysis standard or not;
the fault analysis sub-standard comprises equipment fault analysis contents such as cable damage, cable position change, equipment corrosion and the like, and can also be other equipment fault conditions, and a user can set the fault analysis contents according to actual requirements.
S404, if yes, the subsection routing inspection abnormal feature is confirmed to be a routing inspection fault type in the routing inspection abnormal types.
The implementation principle of the embodiment is as follows: judging whether each subsection routing inspection abnormal characteristic meets an interferent analysis sub-standard in the characteristic analysis standard; if yes, confirming that the subsection routing inspection abnormal feature is a routing inspection interference type in the routing inspection abnormal types; if not, judging whether the subsection routing inspection abnormal characteristics meet the fault substance analysis sub-standard in the characteristic analysis standard or not; if yes, confirming that the subsection routing inspection abnormal feature is a routing inspection fault type in the routing inspection abnormal types; and classifying the inspection abnormity, and identifying the interference item and the fault object so as to obtain an accurate inspection result.
In the above embodiment shown in fig. 4, the detailed description of obtaining the inspection abnormal location according to the inspection abnormal feature and the power inspection route in step S104 is specifically provided, as shown in fig. 5, where:
s501, obtaining a sectional inspection abnormal place of each sectional inspection abnormal feature according to each sectional inspection abnormal feature and the corresponding sectional inspection route;
and S502, inspecting abnormal places according to all the subsections to obtain the inspection abnormal places.
The implementation principle of the embodiment is as follows: and marking the sectional inspection abnormal positions of the sectional inspection abnormal characteristics, summarizing all the sectional inspection abnormal positions to obtain the inspection abnormal positions, and enabling inspection personnel to accurately find the abnormal positions to facilitate subsequent maintenance and treatment.
Optionally, in an embodiment provided by the application, the patrol inspection exception feature marks different patrol inspection exception types with different colors.
The implementation principle of the embodiment is as follows: different inspection abnormal types are marked by different colors, so that confusion is avoided, distinction is convenient, and inspection personnel can conveniently perform abnormal processing according to the priorities of the different inspection abnormal types.
Optionally, in the embodiment shown in fig. 1, the obtaining of the inspection base plate is described in detail, and as shown in fig. 6, the obtaining specifically includes:
s601, acquiring an initial cable image;
s602, judging whether the initial cable image is in a safe state:
s603, if so, confirming that the initial cable image is the inspection bottom plate;
and S604, if not, re-acquiring the initial cable image.
The implementation principle of the embodiment is as follows: before the unmanned aerial vehicle-based power inspection method is developed, firstly, the inspection bottom plate needs to be confirmed, a cable image of the inspection bottom plate in a safe state is ensured, and the inspection accuracy is ensured.
Optionally, in any of the embodiments described above, the power inspection method based on the unmanned aerial vehicle specifically further includes the following steps:
acquiring standard environment information of a patrol bottom plate;
acquiring real-time environment information in the power inspection process of the unmanned aerial vehicle;
analyzing whether the real-time environment information changes or not according to the standard environment information;
and if so, updating the inspection bottom plate.
The implementation principle of the embodiment is as follows: in order to guarantee the accuracy of patrolling and examining, the patrolling and examining bottom plate needs to be updated according to environmental change, and standard environmental information includes that seasonal variation information, geological transformation information etc. lead to the bottom plate normal variation information, certainly not only are so limited, can also be other circumstances, and the user can set for according to actual demand.
In the above illustrated embodiment, the power inspection method based on the unmanned aerial vehicle is specifically described, and the power inspection system based on the unmanned aerial vehicle to which the method is applied is described below by an embodiment, as shown in fig. 7, the present application also provides a power inspection system based on the unmanned aerial vehicle, including:
the inspection module 701 is used for controlling the unmanned aerial vehicle to inspect according to a preset power inspection route to obtain an inspection image;
the identification module 702 is used for comparing the inspection image with a preset inspection bottom plate and identifying inspection abnormal characteristics;
the analysis module 703 is configured to analyze the inspection abnormal feature according to a preset feature analysis standard to obtain an inspection abnormal type;
the identification module 702 is further configured to obtain an inspection abnormal location according to the inspection abnormal feature and the power inspection route;
the analysis module 703 is further configured to obtain an inspection exception result according to the inspection exception characteristic, the inspection exception type, and the inspection exception location.
The implementation principle of the embodiment is as follows: the inspection module 701 controls the unmanned aerial vehicle to inspect according to a preset power inspection route to obtain an inspection image; the identification module 702 compares the inspection image with a preset inspection bottom plate and identifies inspection abnormal characteristics; the analysis module 703 analyzes the inspection abnormal feature according to a preset feature analysis standard to obtain an inspection abnormal type; the identification module 702 further obtains an inspection abnormal place according to the inspection abnormal feature and the power inspection route; the analysis module 703 also obtains an inspection abnormal result according to the inspection abnormal feature, the inspection abnormal type and the inspection abnormal place, so that the interference item is identified in the process of performing power inspection on the unmanned aerial vehicle, and an accurate inspection result is obtained.
In the computer storage medium provided in the embodiment of the present application, a computer program is stored on the computer storage medium, and when being executed by a processor, the computer program implements the steps of the power inspection method described in any one of the above embodiments.
The implementation principle of the embodiment is as follows: controlling the unmanned aerial vehicle to check according to a preset power patrol route to obtain a patrol image; comparing the inspection image with a preset inspection bottom plate, and identifying inspection abnormal characteristics; analyzing the inspection abnormal characteristics according to a preset characteristic analysis standard to obtain an inspection abnormal type; obtaining an inspection abnormal place according to the inspection abnormal feature and the power inspection route; and obtaining an inspection abnormal result according to the inspection abnormal characteristic, the inspection abnormal type and the inspection abnormal place, so that the interference item is identified in the process of carrying out power inspection on the unmanned aerial vehicle, and an accurate inspection result is obtained.
For the description of the relevant parts in the power inspection system based on the unmanned aerial vehicle and the computer storage medium provided by the embodiment of the present application, please refer to the detailed description of the corresponding parts in the power inspection method based on the unmanned aerial vehicle provided by the embodiment of the present application, which is not repeated herein. In addition, parts of the technical solutions provided in the embodiments of the present application, which are consistent with the implementation principles of corresponding technical solutions in the prior art, are not described in detail so as to avoid redundant description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. The utility model provides a power inspection method based on unmanned aerial vehicle which characterized in that includes:
controlling the unmanned aerial vehicle to check according to a preset power patrol route to obtain a patrol image;
comparing the inspection image with a preset inspection bottom plate, and identifying inspection abnormal characteristics;
analyzing the inspection abnormal characteristics according to a preset characteristic analysis standard to obtain an inspection abnormal type;
obtaining an inspection abnormal place according to the inspection abnormal feature and the power inspection route;
and obtaining an inspection abnormal result according to the inspection abnormal feature, the inspection abnormal type and the inspection abnormal place.
2. The power inspection method according to claim 1, wherein controlling the unmanned aerial vehicle to inspect according to a preset power inspection route to obtain an inspection image comprises:
acquiring a starting position and an end position of the unmanned aerial vehicle;
determining the power patrol route from a preset patrol route library according to the starting point position and the end point position;
dividing the power inspection route into a plurality of subsection inspection routes, controlling the unmanned aerial vehicle to inspect according to the power inspection routes, and obtaining subsection inspection images of each subsection inspection route;
and obtaining the inspection image according to all the segmented inspection images.
3. The power inspection method according to claim 2, wherein comparing the inspection image with a preset inspection base plate to identify inspection anomaly characteristics includes:
comparing all the segmented inspection images with the inspection bottom plate, and identifying the segmented inspection abnormal characteristics of each segmented inspection route;
and obtaining the routing inspection abnormal characteristic according to all the subsection routing inspection abnormal characteristics.
4. The power inspection method according to claim 3, wherein analyzing the inspection anomaly characteristics according to preset characteristic analysis criteria to obtain inspection anomaly types includes:
judging whether each subsection routing inspection abnormal characteristic meets an interferent analysis sub-standard in the characteristic analysis standard;
if yes, confirming that the subsection routing inspection abnormal feature is a routing inspection interference type in the routing inspection abnormal types;
if not, judging whether the subsection routing inspection abnormal characteristics meet the fault substance analysis sub-standard in the characteristic analysis standard or not;
and if so, confirming that the subsection inspection abnormal feature is an inspection fault type in the inspection abnormal types.
5. The power inspection method according to claim 4, wherein obtaining an inspection abnormal location according to the inspection abnormal feature and the power inspection route comprises:
obtaining a sectional inspection abnormal place of each sectional inspection abnormal feature according to each sectional inspection abnormal feature and the corresponding sectional inspection route;
and according to all the sectional inspection abnormal places, acquiring the inspection abnormal places.
6. The power inspection method according to claim 5, wherein the inspection anomaly characteristics mark different types of the inspection anomalies with different colors.
7. The power inspection method according to claim 1, wherein the obtaining of the inspection substrate includes:
acquiring an initial cable image;
judging whether the initial cable image is in a safe state:
if so, confirming that the initial cable image is the inspection bottom plate;
and if not, re-acquiring the initial cable image.
8. The power inspection method according to any one of claims 1 to 7, further comprising:
acquiring standard environment information of the inspection bottom plate;
acquiring real-time environment information in the power inspection process of the unmanned aerial vehicle;
analyzing whether the real-time environment information changes or not according to the standard environment information;
and if so, updating the inspection bottom plate.
9. The utility model provides a power system of patrolling and examining based on unmanned aerial vehicle which characterized in that includes:
the inspection module is used for controlling the unmanned aerial vehicle to inspect according to a preset power inspection route to obtain an inspection image;
the identification module is used for comparing the inspection image with a preset inspection bottom plate and identifying inspection abnormal characteristics;
the analysis module is used for analyzing the routing inspection abnormal characteristics according to a preset characteristic analysis standard to obtain a routing inspection abnormal type;
the identification module is further used for obtaining an inspection abnormal place according to the inspection abnormal feature and the power inspection route;
the analysis module is further used for obtaining an inspection abnormal result according to the inspection abnormal feature, the inspection abnormal type and the inspection abnormal place.
10. A computer storage medium, characterized in that the computer storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the power patrol method according to any one of claims 1-8.
CN202210052483.4A 2022-01-18 2022-01-18 Unmanned aerial vehicle-based power inspection method and system and computer storage medium Pending CN114373136A (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104809732A (en) * 2015-05-07 2015-07-29 山东鲁能智能技术有限公司 Electrical equipment appearance abnormity detection method based on image comparison
CN109658539A (en) * 2018-12-11 2019-04-19 中海油安全技术服务有限公司 Method for inspecting, device, server and the computer storage medium of chemical industrial park
CN110989672A (en) * 2019-12-12 2020-04-10 国网黑龙江省电力有限公司七台河供电公司 Unmanned aerial vehicle-based real-time power transmission line fault detection system and routing inspection method thereof
CN112668696A (en) * 2020-12-25 2021-04-16 杭州中科先进技术研究院有限公司 Unmanned aerial vehicle power grid inspection method and system based on embedded deep learning
CN113917945A (en) * 2021-11-03 2022-01-11 广东电网有限责任公司 Unmanned aerial vehicle power line inspection method and device, unmanned aerial vehicle and medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104809732A (en) * 2015-05-07 2015-07-29 山东鲁能智能技术有限公司 Electrical equipment appearance abnormity detection method based on image comparison
CN109658539A (en) * 2018-12-11 2019-04-19 中海油安全技术服务有限公司 Method for inspecting, device, server and the computer storage medium of chemical industrial park
CN110989672A (en) * 2019-12-12 2020-04-10 国网黑龙江省电力有限公司七台河供电公司 Unmanned aerial vehicle-based real-time power transmission line fault detection system and routing inspection method thereof
CN112668696A (en) * 2020-12-25 2021-04-16 杭州中科先进技术研究院有限公司 Unmanned aerial vehicle power grid inspection method and system based on embedded deep learning
CN113917945A (en) * 2021-11-03 2022-01-11 广东电网有限责任公司 Unmanned aerial vehicle power line inspection method and device, unmanned aerial vehicle and medium

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