CN116704387A - Power line channel inspection system and method based on video structuring - Google Patents

Power line channel inspection system and method based on video structuring Download PDF

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Publication number
CN116704387A
CN116704387A CN202310974401.6A CN202310974401A CN116704387A CN 116704387 A CN116704387 A CN 116704387A CN 202310974401 A CN202310974401 A CN 202310974401A CN 116704387 A CN116704387 A CN 116704387A
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video
inspection
video structuring
representing
level
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CN116704387B (en
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曹世鹏
倪莎
余万金
陈杰
王立涛
周文斌
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Zhongxin Hanchuang Jiangsu Technology Co ltd
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Zhongxin Hanchuang Jiangsu Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • G06V20/17Terrestrial scenes taken from planes or by drones
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/46Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • 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
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention provides a power line channel inspection system and method based on video structuring, wherein the system comprises a video structuring grade preselection terminal, an unmanned aerial vehicle body, an unmanned aerial vehicle control terminal, a video structuring processing terminal and an inspection information receiving terminal; the video structuring level preselection terminal is used for calculating the video structuring level according to the power line information and the power equipment information in the inspection area; the video structuring processing terminal and the video structuring level preselection terminal are both arranged on the unmanned aerial vehicle body; the unmanned aerial vehicle control terminal is used for controlling the unmanned aerial vehicle body to carry out inspection work on the inspection area; the video structuring processing terminal is used for carrying out video structuring processing on the inspection video from the unmanned aerial vehicle body according to the video structuring level to generate corresponding video structuring information; the inspection information receiving terminal is used for receiving the video structured information. The invention has the effect of improving the inspection efficiency.

Description

Power line channel inspection system and method based on video structuring
Technical Field
The invention relates to the technical field of unmanned aerial vehicle inspection systems, in particular to a video structuring-based power line channel inspection system and method.
Background
Video structuring refers to the creation of a video big data structured platform based on the human, vehicle, object, color, number, and other attribute features presented in the video frame. After the video is structured, the video is stored in a corresponding structured data warehouse, and the storage capacity is greatly reduced. The power line channel inspection system is based on unmanned aerial vehicle inspection.
Many power line channel inspection systems or inspection methods have been developed, and it is found that, through searching, in the prior art, as disclosed in patent publication No. CN113177861a, an unmanned aerial vehicle and a power line inspection method are disclosed, in which an image acquisition module mounted on the unmanned aerial vehicle acquires image information of a power line, and an identification module is used for identifying whether a temperature early warning device in the power line performs an early warning action according to the image information of the power line acquired by the image acquisition module, and the unmanned aerial vehicle alarms according to the action condition of the temperature early warning device.
The patent with publication number CN103730864A discloses a cooperative control method for unmanned aerial vehicle power line inspection, and the cooperative control of automatic data acquisition task execution is implemented in two important stages of power line outside turning and power line inside turning of unmanned aerial vehicle power line inspection.
The above-mentioned two kinds of scheme of patrolling and examining all lack the process of patrolling and examining the pre-planning, and unmanned aerial vehicle body is patrolling and examining the condition that the storage space of in-process storage image is not enough easily appears, leads to the smoothness of patrolling and examining the process to reduce, has caused the defect that the power line passageway patrols and examines the inefficiency of system.
Disclosure of Invention
The invention aims to provide a power line channel inspection system and method based on video structuring aiming at the defects of the unmanned aerial vehicle inspection system.
The invention adopts the following technical scheme:
the utility model provides a power line passageway inspection system based on video structuring, includes video structuring grade preselection terminal, unmanned aerial vehicle body, unmanned aerial vehicle control terminal, video structuring processing terminal and inspection information receiving terminal; the video structuring level preselection terminal is used for calculating the video structuring level according to the power line information and the power equipment information in the inspection area; the video structuring processing terminal and the video structuring level preselection terminal are both arranged on the unmanned aerial vehicle body; the unmanned aerial vehicle control terminal is used for controlling the unmanned aerial vehicle body to carry out inspection work on the inspection area; the video structuring processing terminal is used for carrying out video structuring processing on the inspection video from the unmanned aerial vehicle body according to the video structuring level to generate corresponding video structuring information; the inspection information receiving terminal is used for receiving video structured information;
the video structuring grade preselection terminal comprises a video structuring grade calculation module and a video structuring grade determination module; the video structured score calculation module is used for calculating video structured scores according to the power line information and the power equipment information in the inspection area; the video structuring grade determining module is used for determining a video structuring grade according to the video structuring grade;
the video structuring processing terminal comprises a video structuring level checking module and a video structuring processing module; the video structuring level checking module is used for checking the video structuring level of the inspection video to be processed; the video structuring processing module is used for carrying out video structuring processing on the inspection video according to the checked video structuring level to generate corresponding video structuring information.
Optionally, the video structured score calculation module comprises an information screening sub-module and a video structured score calculation sub-module; the information screening submodule is used for screening the power line information and the power equipment information; the video structured score calculation sub-module is used for calculating video structured scores according to the screened power line information and the screened power equipment information;
when the information screening submodule works, the following formula is satisfied:
wherein ,representing a corresponding power line screening index; />Representing the years of use of the corresponding power line; />Representing the cable diameter of the corresponding power line; /> and />The service year weight coefficient and the cable diameter weight coefficient of the power line are respectively represented and are set by engineers according to experience; />Representing a corresponding power device screening index; />Representing the years of use of the corresponding power equipment;representing the maintenance times of the corresponding power equipment; /> and />Respectively representing the maintenance frequency weight coefficient of the power equipment and the service year weight coefficient of the power equipment, which are set by engineers according to experience;
the information screening submodule screens the power line informationScreening out the corresponding information of the power line; the information screening submodule is used for screening the +.>Screening out the corresponding information of the power equipment; />Andrespectively representing a reference index of the power line and a reference index of the power equipment, which are set by engineers according to experience;
when the video structuring score calculation sub-module calculates, the following formula is satisfied:
wherein ,representing a video structured score; />Representing the total number of the power equipment in the screened power equipment information;representing the maximum value of the maintenance times of the power equipment in the screened power equipment information; />Representing the quilt screenThe selected power equipment information is +.>Years of use of the individual electrical devices; />Representing that the maximum value of the service years is taken from all the power equipment in the screened power equipment information; />Indicating +.>Years of use of the individual power lines; />Representing the reference years of use of the power line, and setting the reference years by engineers according to experience; />Representing the total number of the power lines in the screened power line information; />Representing the reference value of the number of the power lines, and setting the reference value according to experience by engineers; />Indicating +.>The cable diameter of the cable; />Representing a reference cable diameter, empirically set by an engineer; /> and />Respectively represent a first weight coefficient and a second weight coefficientBoth weight coefficients are empirically set by engineers.
Optionally, when the video structuring level determining module works, the following formula is satisfied:
wherein ,representing a video structuring level; />Representing a reference level selection function based on the total number of power lines and the total number of power devices; />Representation pair->The result of (2) is rounded.
Optionally, the video structured level checking module includes a level checking sensitivity calculation sub-module and a video structured level checking sub-module; the level correction sensitivity calculation submodule is used for generating level correction sensitivity according to the duration of the inspection task and the number of the inspection unmanned aerial vehicles; the video structuring level checking sub-module is used for checking the video structuring level according to the level checking sensitivity;
when the level collation sensitivity calculation submodule calculates, the following equation is satisfied:
wherein ,indicating a level of proof sensitivity; />Indicating the duration of the inspection task; />Representing a reference number of unmanned aerial vehicles performing the inspection task; />Representing the actual number of unmanned aerial vehicles performing the inspection task; /> and />Respectively representing different sensitivity conversion coefficients, which are set by engineers according to experience;
when the video structuring level checking submodule checks the video structuring level, the following formula is satisfied:
wherein ,representing the video structuring level after the correction; />A collation value selection function representing a collation sensitivity based on the level; />A symbol selection function representing the average storage space remaining ratio of all unmanned aerial vehicles based on the rainfall hours of the inspection day and before the inspection; />Representing a level calibration reference level, and setting by an engineer according to experience; /> and />Representing different selection thresholds, each set empirically by an engineer; />The rainfall hours of the day of inspection in the weather forecast are represented; />Representing the average storage space residual ratio of all unmanned aerial vehicles before inspection; />Indicating the +.f in all unmanned plane before inspection>The remaining storage capacity of the video storage space of the unmanned aerial vehicle body; />Indicating the +.f in all unmanned plane before inspection>The total storage capacity of the video storage space of the unmanned aerial vehicle body; />And (5) representing the total number of all unmanned aerial vehicles before inspection.
Optionally, the video structuring processing module comprises a feature extraction type selection sub-module and a video structuring processing sub-module; the feature extraction type selection submodule is used for selecting a corresponding number of feature extraction types from a feature extraction type database according to the checked video structuring level; the feature extraction type refers to the extraction type when the feature extraction is carried out on the video in the video structuring process.
The utility model provides a power line passageway inspection method based on video structuring, is applied to a power line passageway inspection system based on video structuring as above, power line passageway inspection method includes:
s1, calculating a video structuring level according to power line information and power equipment information in a patrol area;
s2, controlling the unmanned aerial vehicle body to carry out inspection work on the inspection area;
s3, carrying out video structuring processing on the inspection video from the unmanned aerial vehicle body according to the video structuring level to generate corresponding video structuring information;
s4, receiving the inspection video and the video structural information.
The beneficial effects obtained by the invention are as follows:
1. the video structuring level preselection terminal, the unmanned aerial vehicle body, the unmanned aerial vehicle control terminal, the video structuring processing terminal and the inspection information receiving terminal are arranged to be beneficial to calculating the video structuring level before the inspection starts, so that the video structuring processing terminal on the unmanned aerial vehicle body can carry out video structuring processing on the inspection video, the storage space is timely and accurately saved, the inspection smoothness of the unmanned aerial vehicle is improved, and the inspection efficiency of the power line channel inspection system based on the video structuring is improved;
2. the video structuring grading calculation module and the video structuring grade determination module are arranged to be beneficial to improving the calculation efficiency of the video structuring grade, so that the inspection efficiency of the power line channel inspection system based on video structuring is improved;
3. the video structuring level checking module and the video structuring processing module are arranged to be beneficial to further improving the accuracy of the video structuring level, saving the storage space more accurately, improving the accuracy of the inspection video after being structured, and reducing the occurrence of repeated inspection, so that the inspection efficiency of the power line channel inspection system based on video structuring is improved;
4. the information screening sub-module and the video structured scoring computation sub-module are matched with the power line screening index algorithm and the video structured scoring algorithm, so that the computing efficiency and the accuracy of the power line screening index are improved, the computing efficiency and the accuracy of the video structured scoring are improved, the accuracy and the computing efficiency of the video structured grade are further improved, and the inspection efficiency of a power line channel inspection system based on video structuring is improved;
5. the arrangement of the level correction sensitivity calculation sub-module and the video structuring level correction sub-module is matched with a level correction sensitivity calculation algorithm and a video structuring level correction algorithm, so that the accuracy of the video structuring level is improved further;
6. the arrangement of the feature extraction type selection sub-module and the video structuring processing sub-module is beneficial to accelerating the efficiency of video structuring processing, so that the inspection efficiency of the power line channel inspection system based on video structuring is improved;
7. the battery capacity index calculation module and the battery capacity selection module are matched with the battery capacity index algorithm, so that stability of the unmanned aerial vehicle body inspection process is improved, battery electric quantity of the unmanned aerial vehicle body in the inspection process is reduced, and inspection efficiency of the power line channel inspection system based on video structuring is improved.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic diagram of the overall structure of the present invention;
FIG. 2 is a schematic diagram of a video structured score computation module according to the present invention;
FIG. 3 is a schematic flow chart of a method for inspecting a power line channel based on video structuring in the present invention;
FIG. 4 is a schematic diagram illustrating an overall structure of a power line channel inspection system according to another embodiment of the present invention;
fig. 5 is a schematic view of the structure of a battery capacity selecting terminal according to the present invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not drawn to actual dimensions, and are stated in advance. The following embodiments will further illustrate the related art of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: the embodiment provides a power line channel inspection system based on video structuring. Referring to fig. 1, a power line channel inspection system based on video structuring comprises a video structuring level preselection terminal, an unmanned aerial vehicle body, an unmanned aerial vehicle control terminal, a video structuring processing terminal and an inspection information receiving terminal; the video structuring level preselection terminal is used for calculating the video structuring level according to the power line information and the power equipment information in the inspection area; the video structuring processing terminal and the video structuring level preselection terminal are both arranged on the unmanned aerial vehicle body; the unmanned aerial vehicle control terminal is used for controlling the unmanned aerial vehicle body to carry out inspection work on the inspection area; the video structuring processing terminal is used for carrying out video structuring processing on the inspection video from the unmanned aerial vehicle body according to the video structuring level to generate corresponding video structuring information; the inspection information receiving terminal is used for receiving video structured information;
the video structuring grade preselection terminal comprises a video structuring grade calculation module and a video structuring grade determination module; the video structured score calculation module is used for calculating video structured scores according to the power line information and the power equipment information in the inspection area; the video structuring grade determining module is used for determining a video structuring grade according to the video structuring grade;
the video structuring processing terminal comprises a video structuring level checking module and a video structuring processing module; the video structuring level checking module is used for checking the video structuring level of the inspection video to be processed; the video structuring processing module is used for carrying out video structuring processing on the inspection video according to the checked video structuring level to generate corresponding video structuring information.
Optionally, referring to fig. 2, the video structural score calculating module includes an information screening sub-module and a video structural score calculating sub-module; the information screening submodule is used for screening the power line information and the power equipment information; the video structured score calculation sub-module is used for calculating video structured scores according to the screened power line information and the screened power equipment information;
when the information screening submodule works, the following formula is satisfied:
wherein ,representing a corresponding power line screening index; />Representing the years of use of the corresponding power line; />Representing the cable diameter of the corresponding power line; /> and />The service year weight coefficient and the cable diameter weight coefficient of the power line are respectively represented and are set by engineers according to experience; />Representing a corresponding power device screening index; />Representing the years of use of the corresponding power equipment;representing the maintenance times of the corresponding power equipment; /> and />Respectively representing the maintenance frequency weight coefficient of the power equipment and the service year weight coefficient of the power equipment, which are set by engineers according to experience;
the information screening submodule screens the power line informationScreening out the corresponding information of the power line; the information screening submodule is used for screening the +.>Screening out the corresponding information of the power equipment; />Andrespectively representing a reference index of the power line and a reference index of the power equipment, which are set by engineers according to experience;
when the video structuring score calculation sub-module calculates, the following formula is satisfied:
wherein ,representing a video structured score; />Representing the total number of the power equipment in the screened power equipment information;representing the maximum value of the maintenance times of the power equipment in the screened power equipment information; />Indicating +.f in the screened power equipment information>Years of use of the individual electrical devices; />Representing that the maximum value of the service years is taken from all the power equipment in the screened power equipment information; />Indicating +.>Years of use of the individual power lines; />Representing the reference years of use of the power line, and setting the reference years by engineers according to experience; />Representing the total number of the power lines in the screened power line information; />Representing the reference value of the number of the power lines, and setting the reference value according to experience by engineers; />Indicating +.>The cable diameter of the cable; />Representing a reference cable diameter, empirically set by an engineer; /> and />The first weight coefficient and the second weight coefficient are respectively represented and are set by engineers according to experience.
Optionally, when the video structuring level determining module works, the following formula is satisfied:
wherein ,representing a video structuring level; />Representing a reference level selection function based on the total number of power lines and the total number of power devices; />Representation pair->The result of (2) is rounded.
Optionally, the video structured level checking module includes a level checking sensitivity calculation sub-module and a video structured level checking sub-module; the level correction sensitivity calculation submodule is used for generating level correction sensitivity according to the duration of the inspection task and the number of the inspection unmanned aerial vehicles; the video structuring level checking sub-module is used for checking the video structuring level according to the level checking sensitivity;
when the level collation sensitivity calculation submodule calculates, the following equation is satisfied:
wherein ,indicating a level of proof sensitivity; />Indicating the duration of the inspection task; />Representing a reference number of unmanned aerial vehicles performing the inspection task; />Representing the actual number of unmanned aerial vehicles performing the inspection task; /> and />Respectively representing different sensitivity conversion coefficients, which are set by engineers according to experience;
when the video structuring level checking submodule checks the video structuring level, the following formula is satisfied:
wherein ,representing the video structuring level after the correction; />A collation value selection function representing a collation sensitivity based on the level; />A symbol selection function representing the average storage space remaining ratio of all unmanned aerial vehicles based on the rainfall hours of the inspection day and before the inspection; />Representing a level calibration reference level, and setting by an engineer according to experience; /> and />Representing different selection thresholds, each set empirically by an engineer; />The rainfall hours of the day of inspection in the weather forecast are represented; />Representing the average storage space residual ratio of all unmanned aerial vehicles before inspection; />Indicating the +.f in all unmanned plane before inspection>Frame withoutThe residual storage capacity of the video storage space of the man-machine body; />Indicating the +.f in all unmanned plane before inspection>The total storage capacity of the video storage space of the unmanned aerial vehicle body; />And (5) representing the total number of all unmanned aerial vehicles before inspection.
Optionally, the video structuring processing module comprises a feature extraction type selection sub-module and a video structuring processing sub-module; the feature extraction type selection submodule is used for selecting a corresponding number of feature extraction types from a feature extraction type database according to the checked video structuring level; the feature extraction type refers to the extraction type when the feature extraction is carried out on the video in the video structuring process. In general, feature extraction types may include, but are not limited to: characters, vehicles, articles, colors, numbers, etc. It should be noted that the more features that are extracted from the video during the video structuring process, the greater the volume of structured information that is generated.
The utility model provides a power line passageway inspection method based on video structuring, is applied to a power line passageway inspection system based on video structuring as above, combines the fig. 3 to show, power line passageway inspection method includes:
s1, calculating a video structuring level according to power line information and power equipment information in a patrol area;
s2, controlling the unmanned aerial vehicle body to carry out inspection work on the inspection area;
s3, carrying out video structuring processing on the inspection video from the unmanned aerial vehicle body according to the video structuring level to generate corresponding video structuring information;
s4, receiving the inspection video and the video structural information.
Embodiment two: the embodiment includes the whole content of the first embodiment, and provides a power line channel inspection system based on video structuring, wherein a battery of an unmanned aerial vehicle body is set as an external battery; referring to fig. 4, the power line channel inspection system further includes a battery capacity selection terminal; the battery capacity selection terminal is used for generating battery capacity selection information according to the checked video structuring level and the patrol task duration.
As shown in fig. 5, the battery capacity selecting terminal includes a battery capacity index calculating module and a battery capacity selecting module; the battery capacity index calculation module is used for calculating a corresponding battery capacity index according to the video structuring level and the patrol task duration; the battery capacity selection module is used for generating corresponding battery capacity selection information according to the battery capacity index.
When the battery capacity index calculation module calculates, the following equation is satisfied:
wherein ,representing a battery capacity index; />Representation pair->The result of (2) is an integer.
When the battery capacity selection module works, the following formula is satisfied:
wherein ,battery capacity selection information; />、/> and />Respectively representing different battery capacities, which are set by engineers according to experience; /> and />Respectively representing different battery capacity selection thresholds, which are set by engineers according to experience; and the engineer installs an external battery with corresponding capacity for the unmanned aerial vehicle body according to the battery capacity selection information.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by the application of the present invention and the accompanying drawings are included in the scope of the invention, and in addition, the elements in the invention can be updated with the technical development.

Claims (6)

1. The power line channel inspection system based on video structuring is characterized by comprising a video structuring grade preselection terminal, an unmanned aerial vehicle body, an unmanned aerial vehicle control terminal, a video structuring processing terminal and an inspection information receiving terminal; the video structuring level preselection terminal is used for calculating the video structuring level according to the power line information and the power equipment information in the inspection area; the video structuring processing terminal and the video structuring level preselection terminal are both arranged on the unmanned aerial vehicle body; the unmanned aerial vehicle control terminal is used for controlling the unmanned aerial vehicle body to carry out inspection work on the inspection area; the video structuring processing terminal is used for carrying out video structuring processing on the inspection video from the unmanned aerial vehicle body according to the video structuring level to generate corresponding video structuring information; the inspection information receiving terminal is used for receiving video structured information;
the video structuring grade preselection terminal comprises a video structuring grade calculation module and a video structuring grade determination module; the video structured score calculation module is used for calculating video structured scores according to the power line information and the power equipment information in the inspection area; the video structuring grade determining module is used for determining a video structuring grade according to the video structuring grade;
the video structuring processing terminal comprises a video structuring level checking module and a video structuring processing module; the video structuring level checking module is used for checking the video structuring level of the inspection video to be processed; the video structuring processing module is used for carrying out video structuring processing on the inspection video according to the checked video structuring level to generate corresponding video structuring information.
2. The video-structured power line channel inspection system of claim 1, wherein the video-structured score computation module comprises an information screening sub-module and a video-structured score computation sub-module; the information screening submodule is used for screening the power line information and the power equipment information; the video structured score calculation sub-module is used for calculating video structured scores according to the screened power line information and the screened power equipment information;
when the information screening submodule works, the following formula is satisfied:
wherein ,representing a corresponding power line screening index; />Representing the years of use of the corresponding power line; />Representing the cable diameter of the corresponding power line; /> and />The service year weight coefficient and the cable diameter weight coefficient of the power line are respectively represented; />Representing a corresponding power device screening index; />Representing the years of use of the corresponding power equipment; />Representing the maintenance times of the corresponding power equipment; /> and />The maintenance frequency weight coefficient and the service year weight coefficient of the power equipment are respectively represented;
the information screening submodule screens the power line informationScreening out the corresponding information of the power line; the information screening submodule is used for screening the +.>Screening out the corresponding information of the power equipment; /> and />Respectively representing a power line reference index and a power equipment reference index;
when the video structuring score calculation sub-module calculates, the following formula is satisfied:
wherein ,representing a video structured score; />Representing the total number of the power equipment in the screened power equipment information; />Representing the maximum value of the maintenance times of the power equipment in the screened power equipment information; />Indicating +.f in the screened power equipment information>Years of use of the individual electrical devices; />Representing that the maximum value of the service years is taken from all the power equipment in the screened power equipment information; />Indicating +.>Years of use of the individual power lines; />Representing the reference years of use of the power line; />Representing the total number of the power lines in the screened power line information; />Representing a reference value of the number of the power lines; />Indicating +.>The cable diameter of the cable; />Representing a reference cable diameter; /> and />Representing a first weight coefficient and a second weight coefficient, respectively.
3. The video-structured power line channel inspection system of claim 2, wherein the video-structured class determination module, when operated, satisfies the following equation:
wherein ,representing a video structuring level; />Representing a reference level selection function based on the total number of power lines and the total number of power devices; />Representation pair->The result of (2) is rounded.
4. A video structured power line channel inspection system in accordance with claim 3, wherein said video structured level collation module comprises a level collation sensitivity calculation sub-module and a video structured level collation sub-module; the level correction sensitivity calculation submodule is used for generating level correction sensitivity according to the duration of the inspection task and the number of the inspection unmanned aerial vehicles; the video structuring level checking sub-module is used for checking the video structuring level according to the level checking sensitivity;
when the level collation sensitivity calculation submodule calculates, the following equation is satisfied:
wherein ,indicating a level of proof sensitivity; />Indicating the duration of the inspection task; />Representing a reference number of unmanned aerial vehicles performing the inspection task; />Representing the actual number of unmanned aerial vehicles performing the inspection task; /> and />Respectively representing different sensitivity conversion coefficients;
when the video structuring level checking submodule checks the video structuring level, the following formula is satisfied:
wherein ,representing the video structuring level after the correction; />A collation value selection function representing a collation sensitivity based on the level; />A symbol selection function representing the average storage space remaining ratio of all unmanned aerial vehicles based on the rainfall hours of the inspection day and before the inspection; />Representing a level collation reference level; /> and />Representing different selection thresholds; />The rainfall hours of the day of inspection in the weather forecast are represented; />Representing the average storage space residual ratio of all unmanned aerial vehicles before inspection; />Indicating the +.f in all unmanned plane before inspection>The remaining storage capacity of the video storage space of the unmanned aerial vehicle body; />Indicating the +.f in all unmanned plane before inspection>The total storage capacity of the video storage space of the unmanned aerial vehicle body; />And (5) representing the total number of all unmanned aerial vehicles before inspection.
5. The power line channel inspection system based on video structuring as in claim 4 wherein said video structuring processing module comprises a feature extraction type selection sub-module and a video structuring processing sub-module; the feature extraction type selection sub-module is used for selecting a corresponding number of feature extraction types from the feature extraction type database according to the checked video structuring level.
6. The power line channel inspection method based on video structuring is applied to the power line channel inspection system based on video structuring as claimed in claim 5, and is characterized in that the power line channel inspection method comprises the following steps:
s1, calculating a video structuring level according to power line information and power equipment information in a patrol area;
s2, controlling the unmanned aerial vehicle body to carry out inspection work on the inspection area;
s3, carrying out video structuring processing on the inspection video from the unmanned aerial vehicle body according to the video structuring level to generate corresponding video structuring information;
s4, receiving the inspection video and the video structural information.
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