CN115494871A - Unmanned aerial vehicle inspection method, device and system for power transmission line abnormity - Google Patents

Unmanned aerial vehicle inspection method, device and system for power transmission line abnormity Download PDF

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Publication number
CN115494871A
CN115494871A CN202211180198.7A CN202211180198A CN115494871A CN 115494871 A CN115494871 A CN 115494871A CN 202211180198 A CN202211180198 A CN 202211180198A CN 115494871 A CN115494871 A CN 115494871A
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China
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transmission line
power transmission
state
data
inspection
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Inventor
张英
陈鸿霖
李国强
陈浩
周华敏
孙文星
汪皓
王彤
郭启迪
徐健儿
廖如超
吴培骋
刘高
郭锦超
饶成成
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Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
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Priority to CN202211180198.7A priority Critical patent/CN115494871A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/10Simultaneous control of position or course in three dimensions
    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft

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  • Aviation & Aerospace Engineering (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
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  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
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Abstract

The invention discloses an unmanned aerial vehicle inspection method, device and system for power transmission line abnormity. The unmanned aerial vehicle inspection method, the unmanned aerial vehicle inspection device, the computer readable storage medium and the system improve the unmanned aerial vehicle inspection efficiency of abnormal power transmission lines.

Description

Unmanned aerial vehicle inspection method, device and system for power transmission line abnormity
Technical Field
The invention relates to the technical field of unmanned aerial vehicles with abnormal power transmission lines, in particular to an unmanned aerial vehicle inspection method, an unmanned aerial vehicle inspection device, a computer readable storage medium and a computer readable storage system with abnormal power transmission lines.
Background
The electric and mechanical properties of the transmission line are damaged, or the transmission line is easy to be abnormal due to the insulation damage of the wire and other electrified parts of the transmission line to the ground or between the wires and other electrified parts of the transmission line. The power is an indispensable part of people's daily life, and therefore, the timely identification of transmission line abnormality is very important.
In prior art, because transmission line distribution position is complicated, the work load of patrolling and examining through the manual work is great, patrols and examines transmission line through the mode of unmanned aerial vehicle patrolling and examining usually.
However, the prior art still has the following defects: the data volume that unmanned aerial vehicle patrolled and examined is big and the data volume is complicated to the efficiency that leads to transmission line abnormal recognition is lower.
Therefore, there is a need for a method, an apparatus, a computer-readable storage medium, and a system for unmanned aerial vehicle inspection of power transmission line abnormality, so as to overcome the above-mentioned drawbacks in the prior art.
Disclosure of Invention
The embodiment of the invention provides an unmanned aerial vehicle inspection method, device, computer readable storage medium and system for power transmission line abnormity, so that the unmanned aerial vehicle inspection efficiency of the power transmission line abnormity is improved.
An embodiment of the invention provides an unmanned aerial vehicle inspection method for power transmission line abnormity, which comprises the following steps: acquiring a power transmission line data group of a power transmission line to be patrolled and patrolled, which is sent by a patrolling unmanned aerial vehicle, and a preset power transmission line control level of the power transmission line to be patrolled and patrolled; carrying out classification analysis processing on the power transmission line data set through a preset data classification analysis method to obtain a patrol state data set; and acquiring a polling result of the power transmission line to be polled according to the power transmission line control level and the polling state data set.
As an improvement of the above scheme, the method includes performing classification analysis processing on the power transmission line data set by a preset data classification analysis method to obtain a patrol state data set, and specifically includes: acquiring an image data set and a radar data set from the power transmission line data set; performing image feature extraction on the image data set to acquire an image feature state; extracting hidden danger characteristics of the radar data set to obtain an environment characteristic state; and taking the image characteristic state and the environment characteristic state as the patrol inspection state data set.
As an improvement of the above scheme, before acquiring the power transmission line data set of the power transmission line to be patrolled and examined sent by the unmanned aerial vehicle and the preset power transmission line management and control level of the power transmission line to be patrolled and examined, the unmanned aerial vehicle patrolling and examining method further comprises the following steps: acquiring historical abnormal data and equipment data of a power transmission line to be inspected; the power transmission line to be inspected comprises a plurality of sub-lines; according to the equipment data and a preset state evaluation rule, evaluating and calculating the historical abnormal data to obtain the power transmission line control level of each sub-line; the state evaluation rule comprises a state deduction rule and a line health degree calculation rule.
As an improvement of the above scheme, according to the device data and a preset state evaluation rule, the evaluation calculation is performed on the historical abnormal data to obtain the power transmission line control level of each sub-line, and the method specifically includes: evaluating the line state of each sub-line according to the equipment data, the historical abnormal data and the state deduction rule to obtain a state automatic evaluation result; according to the line health degree calculation rule and the historical abnormal data, calculating to evaluate the line health of each line to obtain a health automatic evaluation result; and determining the transmission line control level of each sub-line according to the state automatic evaluation result and the health automatic evaluation result.
As an improvement of the above scheme, according to the power transmission line management and control level and the inspection state data set, an inspection result of the power transmission line to be inspected is acquired, and the method specifically includes: acquiring a parameter data group corresponding to the power transmission line control level from a preset reference parameter database according to the power transmission line control level; and comparing the inspection state data set with the parameter data set to obtain an inspection result of the power transmission line to be inspected.
As an improvement of the above scheme, extracting hidden danger features from the radar data set to obtain an environmental feature state specifically includes: acquiring a sag data set, a meteorological data set and a mountain data set from the radar data set; acquiring a sag index state according to the sag data group and a preset sag index calculation formula; acquiring a weather influence state according to the weather data set and a preset weather influence analysis method; obtaining a mountain running state according to the mountain data group and a preset mountain running analysis method; and taking the sag index state, the meteorological influence state and the mountain running state as environmental characteristic states.
As an improvement of the above scheme, the unmanned aerial vehicle inspection method further comprises: generating a routing inspection plan according to the power transmission line of the area to be inspected; and sending the inspection plan to an inspection unmanned aerial vehicle so that the inspection unmanned aerial vehicle executes the inspection plan to obtain a power transmission line data set of the power transmission line to be inspected.
The invention correspondingly provides an unmanned aerial vehicle inspection device for power transmission line abnormity, which comprises a data acquisition unit, a classification analysis unit and a comparison output unit, wherein the data acquisition unit is used for acquiring a power transmission line data group of a power transmission line to be inspected, which is sent by an inspection unmanned aerial vehicle, and a preset power transmission line control level of the power transmission line to be inspected; the classification analysis unit is used for performing classification analysis processing on the power transmission line data set through a preset data classification analysis method to obtain a routing inspection state data set; and the comparison output unit is used for acquiring the inspection result of the power transmission line to be inspected according to the power transmission line control level and the inspection state data set.
As an improvement of the above, the classification analysis unit is further configured to: acquiring an image data set and a radar data set from the power transmission line data set; performing image feature extraction on the image data set to acquire an image feature state; extracting hidden danger features of the radar data set to obtain an environment feature state; and taking the image characteristic state and the environment characteristic state as the inspection state data set.
As an improvement of the above, the classification analysis unit is further configured to: acquiring a sag data set, a meteorological data set and a mountain data set from the radar data set; acquiring a sag index state according to the sag data group and a preset sag index calculation formula; acquiring a weather influence state according to the weather data set and a preset weather influence analysis method; obtaining a mountain running state according to the mountain data group and a preset mountain running analysis method; and taking the sag index state, the meteorological influence state and the mountain running state as environmental characteristic states.
As an improvement of the above solution, the comparison output unit is further configured to: acquiring a parameter data group corresponding to the power transmission line control level from a preset reference parameter database according to the power transmission line control level; and comparing the inspection state data set with the parameter data set to obtain an inspection result of the power transmission line to be inspected.
As the improvement of above-mentioned scheme, unmanned aerial vehicle inspection device still includes the management and control level fixing unit, the management and control level fixing unit is used for: acquiring historical abnormal data and equipment data of a power transmission line to be inspected; the power transmission line to be patrolled comprises a plurality of sub-lines; according to the equipment data and a preset state evaluation rule, evaluating and calculating the historical abnormal data to obtain the power transmission line control level of each sub-line; the state evaluation rule comprises a state deduction rule and a line health degree calculation rule.
As an improvement of the above, the pipe ranking unit is further configured to: evaluating the line state of each sub-line according to the equipment data, the historical abnormal data and the state deduction rule to obtain a state automatic evaluation result; according to the line health degree calculation rule and the historical abnormal data, calculating to evaluate the line health of each line to obtain a health automatic evaluation result; and determining the transmission line control level of each sub-line according to the state automatic evaluation result and the health automatic evaluation result.
As the improvement of above-mentioned scheme, unmanned aerial vehicle inspection device still includes patrols and examines the administrative unit, it is used for: generating a routing inspection plan according to the power transmission line of the area to be inspected; and sending the inspection plan to an inspection unmanned aerial vehicle so that the inspection unmanned aerial vehicle executes the inspection plan to acquire a power transmission line data set of a power transmission line to be inspected.
Another embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, where when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the foregoing unmanned aerial vehicle inspection method for power transmission line abnormality.
Another embodiment of the present invention provides an unmanned aerial vehicle inspection system for power transmission line abnormality, where the unmanned aerial vehicle inspection system includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the unmanned aerial vehicle inspection method for power transmission line abnormality is implemented.
Compared with the prior art, the technical scheme has the following beneficial effects:
the invention provides an unmanned aerial vehicle inspection method, an unmanned aerial vehicle inspection device, a computer readable storage medium and a system for power transmission line abnormity.
Drawings
Fig. 1 is a schematic flow chart of an unmanned aerial vehicle inspection method for power transmission line abnormality according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an unmanned aerial vehicle inspection device for power transmission line abnormality according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
Detailed description of the preferred embodiment
The embodiment of the invention firstly describes an unmanned aerial vehicle inspection method for power transmission line abnormity. Fig. 1 is a schematic flow chart of an unmanned aerial vehicle inspection method for power transmission line abnormality according to an embodiment of the present invention.
As shown in fig. 1, the unmanned aerial vehicle inspection method includes:
s1, a power transmission line data group of a power transmission line to be patrolled and examined and sent by a patrolling unmanned aerial vehicle and a preset power transmission line control level of the power transmission line to be patrolled and examined are obtained.
The power transmission line data group of the power transmission line to be inspected refers to data of the power transmission line acquired by the unmanned aerial vehicle inspection equipment according to inspection tasks of the power grid management platform or other power transmission line management and control platforms. This data may be used to indicate the current state of the transmission line. The data may include data of the transmission line, parts of the transmission line and the surroundings of the transmission line. The inspection data may include power line images, power line sag data, meteorological data, mountain data, and the like.
In one embodiment, before acquiring the power transmission line data group of the power transmission line to be inspected, which is sent by the unmanned aerial vehicle for inspection, and the preset power transmission line control level of the power transmission line to be inspected, the unmanned aerial vehicle inspection method further includes: acquiring historical abnormal data and equipment data of a power transmission line to be inspected; the power transmission line to be inspected comprises a plurality of sub-lines; according to the equipment data and a preset state evaluation rule, evaluating and calculating the historical abnormal data to obtain the power transmission line control level of each sub-line; the state evaluation rule comprises a state deduction rule and a line health degree calculation rule.
The historical abnormal data refers to abnormal data which occur in a certain historical period in the power transmission line; the device data may be a device ledger in a grid management platform; the preset state evaluation rules may include state deduction rules, line health calculation rules, and other manually determined evaluation rules. The state deduction rule is a rule set for adjusting the evaluation score of the equipment when the equipment has a certain state. The line health degree calculation rule is a rule set for health degree evaluation when a line meets a certain state, and may include dimensions such as line health, line segment health, and the like. The manual evaluation rule may be a rule manually drawn up and used for adjusting a state deduction rule, a line health degree calculation rule, and the like. The state automatic evaluation result and the health degree evaluation result are evaluation results of two different dimensions, and the power grid management platform can divide the intervals according to the two evaluation results and the management and control level after weighted average, so as to obtain the management and control level of each item standard power transmission line.
In specific implementation, the power grid management platform can process historical abnormal data according to the device data of the multiple target power transmission lines and preset state evaluation rules, determine the management and control level of each item mark power transmission line according to the total score of state evaluation, and store the management and control level in the database of the power grid management platform. And determining corresponding control index parameters according to the control level of each item mark transmission line. And determining the line management and control level according to the historical abnormal data of the power transmission line, so that the power transmission line can be distinguished and managed, and the refinement degree of management and control is improved.
The power transmission line management and control level refers to a classification of power transmission lines determined according to historical data, wherein the line importance and the health degree are determined, and different management and control levels correspond to different management and control index parameters. The management and control parameters may be a series of parameters including a plurality of index ranges of safe operation of the power transmission line. When the routing inspection state of the power transmission line is obtained, routing inspection state data can be obtained according to the control indexes of the control levels, so that equipment abnormal state identification can be carried out. The power transmission lines with different management and control levels and different line complexity and key routing inspection attention parameters can be different, so that the equipment abnormity identification hierarchical management of the power transmission lines is carried out, and the refinement degree of management is improved.
Specifically, the power grid management platform may obtain a control level corresponding to the power transmission line to be inspected from a preconfigured control level list of the power transmission line, and then determine whether an inconsistent device exists in the power transmission line according to comparison between the inspection state and the control index parameter, so as to identify an abnormal state of each device in the power transmission line.
In one embodiment, according to the device data and a preset state evaluation rule, evaluating and calculating the historical abnormal data to obtain a power transmission line control level of each sub-line specifically includes: evaluating the line state of each sub-line according to the equipment data, the historical abnormal data and the state deduction rule to obtain a state automatic evaluation result; according to the line health degree calculation rule and the historical abnormal data, calculating to evaluate the line health of each line to obtain a health automatic evaluation result; and determining the transmission line control level of each sub-line according to the state automatic evaluation result and the health automatic evaluation result.
In practical application, the power grid management platform can generate a patrol and examine plan according to the power transmission line of an area to be patrolled and examined, and the patrol and examine plan can include a plurality of unmanned aerial vehicle patrol and examine equipment executing the patrol and examine plan, flight routes of each unmanned aerial vehicle patrol and examine equipment, patrol and examine data types and other information required to be collected. Each unmanned aerial vehicle patrols and examines equipment and can carry out this plan of patrolling and examining, gathers the data of patrolling and examining that correspond. The power grid management platform instructs the unmanned aerial vehicle inspection equipment to collect inspection data by determining the inspection plan, so that the planning of the acquired inspection data of the power transmission line is improved, and further inspection data analysis and equipment abnormity identification are facilitated. In one embodiment, the unmanned aerial vehicle inspection method further includes: generating a routing inspection plan according to the power transmission line of the area to be inspected; and sending the inspection plan to an inspection unmanned aerial vehicle so that the inspection unmanned aerial vehicle executes the inspection plan to obtain a power transmission line data set of the power transmission line to be inspected.
And S2, carrying out classification analysis processing on the power transmission line data set through a preset data classification analysis method to obtain a patrol state data set.
The inspection state data set of the power transmission line can represent a single state and can also be a plurality of states obtained by integrating data of various dimensions, so that the accuracy and richness of state evaluation of the power transmission line are improved.
In one embodiment, the method for performing classification analysis processing on the power transmission line data set through a preset data classification analysis method to obtain a patrol state data set specifically includes: acquiring an image data group and a radar data group from the power transmission line data group; carrying out image feature extraction on the image data set to obtain an image feature state; extracting hidden danger characteristics of the radar data set to obtain an environment characteristic state; and taking the image characteristic state and the environment characteristic state as the inspection state data set.
The radar data can comprise point cloud data, and the power grid management platform can process the radar data through the radar data processing system to determine hidden equipment danger data of equipment in the power transmission line. For example, the radar data may be environmental data of mountains around the power transmission line, and the radar data processing system may judge, from the acquired environmental data of mountains around the power transmission line in a certain period, the possibility of occurrence of geological hazards such as landslide and the like, which may further cause equipment hazards.
In one embodiment, extracting hidden danger features from the radar data set to obtain an environmental feature state specifically includes: acquiring a sag data set, a meteorological data set and a mountain data set from the radar data set; acquiring a sag index state according to the sag data group and a preset sag index calculation formula; acquiring a weather influence state according to the weather data set and a preset weather influence analysis method; obtaining a mountain running state according to the mountain data group and a preset mountain running analysis method; and taking the sag index state, the meteorological influence state and the mountain running state as environmental characteristic states.
And S3, acquiring a polling result of the power transmission line to be polled according to the power transmission line control level and the polling state data set.
In one embodiment, according to the power transmission line management and control level and the inspection state data set, an inspection result of the power transmission line to be inspected is obtained, and the method specifically includes: acquiring a parameter data group corresponding to the power transmission line control level from a preset reference parameter database according to the power transmission line control level; and comparing the inspection state data set with the parameter data set to obtain an inspection result of the power transmission line to be inspected.
In one embodiment, the unmanned aerial vehicle inspection method further comprises: acquiring abnormal positioning data with an abnormal state of equipment; and generating an abnormal inspection work order according to the abnormal positioning data and the equipment maintenance personnel data.
In this embodiment, the power grid management platform may obtain, from the device location database, location data of a device in the power transmission line where the device abnormality occurs, and generate an abnormality patrol worksheet according to the abnormality location data and device maintainer data, so as to instruct a corresponding device maintainer to perform a task of maintaining the abnormal device.
The invention provides an unmanned aerial vehicle inspection method for power transmission line abnormity, which comprises the steps of carrying out classification analysis on an obtained power transmission line data set to obtain an inspection state data set, determining a control level according to the inspection state data set, determining a corresponding parameter data set according to the control level and a preset power transmission line control level, and comparing the parameter data set with the inspection state data set to obtain an inspection result.
Detailed description of the invention
Besides, the embodiment of the invention also discloses an unmanned aerial vehicle inspection device for the abnormity of the power transmission line. Fig. 2 is a schematic structural diagram of an unmanned aerial vehicle inspection device for power transmission line abnormality according to an embodiment of the present invention.
As shown in fig. 2, the unmanned aerial vehicle inspection device includes a data acquisition unit 11, a classification analysis unit 12, and a comparison output unit 13.
The data acquisition unit 11 is used for acquiring a power transmission line data set of a power transmission line to be patrolled and examined, which is sent by an unmanned aerial vehicle, and a preset power transmission line control level of the power transmission line to be patrolled and examined.
The classification analysis unit 12 is configured to perform classification analysis processing on the power transmission line data set by using a preset data classification analysis method to obtain an inspection state data set.
In one embodiment, the classification analysis unit 12 is further configured to: acquiring an image data group and a radar data group from the power transmission line data group; carrying out image feature extraction on the image data set to obtain an image feature state; extracting hidden danger features of the radar data set to obtain an environment feature state; and taking the image characteristic state and the environment characteristic state as the inspection state data set.
In one embodiment, the classification analysis unit 12 is further configured to: acquiring a sag data set, a meteorological data set and a mountain data set from the radar data set; acquiring a sag index state according to the sag data group and a preset sag index calculation formula; acquiring a weather influence state according to the weather data set and a preset weather influence analysis method; obtaining a mountain running state according to the mountain data group and a preset mountain running analysis method; and taking the sag index state, the meteorological influence state and the mountain running state as environmental characteristic states.
And the comparison output unit 13 is used for acquiring the inspection result of the power transmission line to be inspected according to the power transmission line control level and the inspection state data set.
In one embodiment, the comparison output unit 13 is further configured to: acquiring a parameter data group corresponding to the management and control level of the power transmission line from a preset reference parameter database according to the management and control level of the power transmission line; and comparing the inspection state data set with the parameter data set to obtain an inspection result of the power transmission line to be inspected.
In one embodiment, the unmanned aerial vehicle inspection device further comprises a control grading unit, wherein the control grading unit is used for: acquiring historical abnormal data and equipment data of a power transmission line to be inspected; the power transmission line to be patrolled comprises a plurality of sub-lines; according to the equipment data and a preset state evaluation rule, evaluating and calculating the historical abnormal data to obtain the power transmission line control level of each sub-line; the state evaluation rule comprises a state deduction rule and a line health degree calculation rule.
In one embodiment, the tube grading unit is further to: evaluating the line state of each sub-line according to the equipment data, the historical abnormal data and the state deduction rule to obtain a state automatic evaluation result; according to the line health degree calculation rule and the historical abnormal data, calculating to evaluate the line health of each line to obtain a health automatic evaluation result; and determining the transmission line control level of each sub-line according to the state automatic evaluation result and the health automatic evaluation result.
In one embodiment, the unmanned aerial vehicle inspection device further comprises an inspection management unit, and the inspection management unit is used for: generating a routing inspection plan according to the power transmission line of the area to be inspected; and sending the inspection plan to an inspection unmanned aerial vehicle so that the inspection unmanned aerial vehicle executes the inspection plan to obtain a power transmission line data set of the power transmission line to be inspected.
If the integrated unit of the unmanned aerial vehicle inspection device is realized in the form of a software functional unit and is sold or used as an independent product, the integrated unit can be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method according to the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by a processor to implement the steps of the above embodiments of the method. That is, another embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, where when the computer program runs, a device on which the computer-readable storage medium is located is controlled to execute the aforementioned unmanned aerial vehicle inspection method for power transmission line abnormality.
The computer program comprises computer program code which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the device provided by the invention, the connection relationship between the units indicates that the units have communication connection therebetween, and the connection relationship can be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
The invention provides an unmanned aerial vehicle inspection device and a computer readable storage medium for power transmission line abnormity, which are used for acquiring an inspection state data set by classifying and analyzing the acquired power transmission line data set, determining a control level according to the inspection state data set, determining a corresponding parameter data set according to the control level and a preset power transmission line control level, and comparing the parameter data set with the inspection state data set to acquire an inspection result.
Detailed description of the preferred embodiment
Besides the method and the device, the embodiment of the invention also describes an unmanned aerial vehicle inspection system for the abnormity of the power transmission line.
The unmanned aerial vehicle inspection system comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to realize the unmanned aerial vehicle inspection method for the power transmission line abnormity.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like that is the control center for the device and that connects the various parts of the overall device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the apparatus by running or executing the computer programs and/or modules stored in the memory, as well as by invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The invention provides an unmanned aerial vehicle inspection system for power transmission line abnormity, which is characterized in that an inspection state data set is obtained by classifying and analyzing an obtained power transmission line data set, a control level is determined according to the inspection state data set, a corresponding parameter data set is determined according to the control level and a preset power transmission line control level, and then the parameter data set is compared with the inspection state data set to obtain an inspection result.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (10)

1. An unmanned aerial vehicle inspection method for power transmission line abnormity is characterized by comprising the following steps:
acquiring a power transmission line data group of a power transmission line to be patrolled and examined, which is sent by a patrolling unmanned aerial vehicle, and a preset power transmission line control level of the power transmission line to be patrolled and examined;
carrying out classification analysis processing on the power transmission line data set through a preset data classification analysis method to obtain an inspection state data set;
and acquiring a polling result of the power transmission line to be polled according to the power transmission line control level and the polling state data set.
2. The unmanned aerial vehicle inspection method according to claim 1, wherein the power transmission line data group is subjected to classification analysis processing through a preset data classification analysis method to obtain an inspection state data group, and the method specifically comprises the following steps:
acquiring an image data group and a radar data group from the power transmission line data group;
carrying out image feature extraction on the image data set to obtain an image feature state;
extracting hidden danger features of the radar data set to obtain an environment feature state;
and taking the image characteristic state and the environment characteristic state as the inspection state data set.
3. The unmanned aerial vehicle inspection method according to claim 2, wherein before acquiring the power transmission line data group of the power transmission line to be inspected, which is sent by the inspection unmanned aerial vehicle, and the preset power transmission line management and control level of the power transmission line to be inspected, the unmanned aerial vehicle inspection method further comprises:
acquiring historical abnormal data and equipment data of a power transmission line to be inspected; the power transmission line to be patrolled comprises a plurality of sub-lines;
according to the equipment data and a preset state evaluation rule, evaluating and calculating the historical abnormal data to obtain the power transmission line control level of each sub-line; the state evaluation rule comprises a state deduction rule and a line health degree calculation rule.
4. The unmanned aerial vehicle inspection method according to claim 3, wherein evaluation calculation is performed on the historical abnormal data according to the device data and preset state evaluation rules to obtain the power transmission line management and control levels of the sub-lines, and the method specifically comprises the following steps:
evaluating the line state of each sub-line according to the equipment data, the historical abnormal data and the state deduction rule to obtain a state automatic evaluation result;
according to the line health degree calculation rule and the historical abnormal data, calculating to evaluate the line health of each line to obtain a health automatic evaluation result;
and determining the transmission line control level of each sub-line according to the state automatic evaluation result and the health automatic evaluation result.
5. The unmanned aerial vehicle inspection method according to claim 4, wherein the inspection result of the power transmission line to be inspected is obtained according to the power transmission line control level and the inspection state data set, and the method specifically comprises the following steps:
acquiring a parameter data group corresponding to the management and control level of the power transmission line from a preset reference parameter database according to the management and control level of the power transmission line;
and comparing the inspection state data set with the parameter data set to obtain an inspection result of the power transmission line to be inspected.
6. The unmanned aerial vehicle inspection method according to claim 5, wherein the radar data set is subjected to hidden danger feature extraction to obtain an environment feature state, and the method specifically comprises the following steps:
acquiring a sag data set, a meteorological data set and a mountain data set from the radar data set;
acquiring a sag index state according to the sag data group and a preset sag index calculation formula;
acquiring a weather influence state according to the weather data set and a preset weather influence analysis method;
obtaining a mountain running state according to the mountain data group and a preset mountain running analysis method;
and taking the sag index state, the meteorological influence state and the mountain running state as environmental characteristic states.
7. The unmanned aerial vehicle inspection method according to claim 6, further comprising:
generating a routing inspection plan according to the power transmission line of the area to be inspected;
and sending the inspection plan to an inspection unmanned aerial vehicle so that the inspection unmanned aerial vehicle executes the inspection plan to obtain a power transmission line data set of the power transmission line to be inspected.
8. An unmanned aerial vehicle inspection device for power transmission line abnormity is characterized by comprising a data acquisition unit, a classification analysis unit and a comparison output unit,
the data acquisition unit is used for acquiring a power transmission line data group of the power transmission line to be patrolled and patrolled, which is sent by the patrolling unmanned aerial vehicle, and a preset power transmission line control level of the power transmission line to be patrolled and patrolled;
the classification analysis unit is used for performing classification analysis processing on the power transmission line data set through a preset data classification analysis method to obtain a routing inspection state data set;
and the comparison output unit is used for acquiring the inspection result of the power transmission line to be inspected according to the power transmission line control level and the inspection state data set.
9. A computer-readable storage medium, comprising a stored computer program, wherein when the computer program runs, the computer-readable storage medium controls a device to execute the unmanned aerial vehicle inspection method for the abnormality of the power transmission line according to any one of claims 1 to 7.
10. An unmanned aerial vehicle inspection system for power transmission line abnormalities, comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the unmanned aerial vehicle inspection method for power transmission line abnormalities according to any one of claims 1 to 7.
CN202211180198.7A 2022-09-27 2022-09-27 Unmanned aerial vehicle inspection method, device and system for power transmission line abnormity Pending CN115494871A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116073520A (en) * 2023-03-06 2023-05-05 国网四川省电力公司电力科学研究院 Power grid inspection method and device, electronic equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116073520A (en) * 2023-03-06 2023-05-05 国网四川省电力公司电力科学研究院 Power grid inspection method and device, electronic equipment and storage medium
CN116073520B (en) * 2023-03-06 2024-01-26 国网四川省电力公司电力科学研究院 Power grid inspection method and device, electronic equipment and storage medium

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