CN115065169A - Electric power monitoring system based on 5G and Internet of things technology - Google Patents
Electric power monitoring system based on 5G and Internet of things technology Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/10—Simultaneous control of position or course in three dimensions
- G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
- G05D1/106—Change initiated in response to external conditions, e.g. avoidance of elevated terrain or of no-fly zones
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- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02G—INSTALLATION OF ELECTRIC CABLES OR LINES, OR OF COMBINED OPTICAL AND ELECTRIC CABLES OR LINES
- H02G1/00—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines
- H02G1/02—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines for overhead lines or cables
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02G—INSTALLATION OF ELECTRIC CABLES OR LINES, OR OF COMBINED OPTICAL AND ELECTRIC CABLES OR LINES
- H02G7/00—Overhead installations of electric lines or cables
- H02G7/16—Devices for removing snow or ice from lines or cables
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- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses an electric power monitoring system based on 5G and Internet of things technology, which is characterized in that meteorological conditions of a target transmission line passing through each transmission area are obtained in real time, a key monitoring area is screened out according to the meteorological conditions, the icing thickness and the icing position distance of a transmission line section in the key monitoring area are monitored when an unmanned aerial vehicle sails to the key monitoring area, the diameter and the material of the transmission line section are identified, whether the transmission line section in the key monitoring area needs to be deiced is comprehensively judged according to the attribute information and the icing condition of the transmission line section, the judgment basis of deicing requirements is enriched, the judgment accuracy of the deicing requirement is improved, the pertinence of deicing operation is improved to a certain extent, deicing according to needs is really realized, the waste of deicing resources is avoided on one hand, and the timeliness of deicing needing to deice is improved on the other hand, the method is favorable for ensuring the time and resource abundance of the power transmission line needing deicing.
Description
Technical Field
The invention relates to the technical field of power monitoring, in particular to a power monitoring system based on 5G and Internet of things technology.
Background
The stable development of power can guarantee the stable development of society, and the transmission line is a very important component in the power system and plays a very important role in power supply. In order to guarantee the power supply reliability of the power transmission line, the inspection and monitoring of the power transmission line become necessary work.
With the development of national power grids, the traditional manual inspection mode cannot realize the inspection work of high-voltage and ultrahigh-voltage transmission lines. Unmanned aerial vehicle has small, remote operation, real time monitoring and information record to carry on equipment such as sensing equipment, digital camera, carry out omnidirectional tour to transmission line, greatly improved transmission line's the efficiency of patrolling and examining, still reduced the working strength and the danger of patrolling and examining personnel.
At present by unmanned aerial vehicle to transmission line execution's the work of patrolling and examining mainly including the trouble patrol and examine and the ice of bad weather patrols and examines, wherein the ice of bad weather is patrolled and examined and become to patrol and examine comparatively common mode of patrolling and examining in winter, this is because when transmission line when ice and snow weather moves, the ice coating appears easily in the transmission line, this can aggravate the mechanical load of transmission line and shaft tower, make the excessive increase of transmission line sag to arouse the mixed line accident, under this kind of condition, just need carry out deicing by unmanned aerial vehicle according to transmission line's icing situation.
However, when the current unmanned aerial vehicle judges whether the power transmission line needs to be deiced, the judgment is only carried out according to the icing thickness of the power transmission line, the judgment basis is too single, the influence of the icing position and the material and diameter of the power transmission line on the deicing requirement is ignored, the judgment accuracy of the deicing requirement is not high, the phenomenon that a large amount of energy is spent on the power transmission line with small deicing requirements to deice easily occurs, the waste of deicing resources is further caused, and the deicing progress of other power transmission lines needing to be deiced is delayed on the other hand.
Disclosure of Invention
In order to solve the technical problems, the invention is realized by the following technical scheme:
a power monitoring system based on 5G and Internet of things technology comprises:
the target power transmission line transmission area acquisition module is used for recording the power transmission lines to be subjected to power monitoring as target power transmission lines, further counting the number of transmission areas through which the target power transmission lines pass, and marking each transmission area as 1,2,. once, i,. once, n;
the conveying area geographic position positioning module is used for positioning the geographic position corresponding to each conveying area;
the conveying area icing early warning grade acquisition module is used for acquiring the icing early warning grade corresponding to each current conveying area from the weather station according to the geographic position corresponding to each conveying area;
the key monitoring area screening module is used for screening key monitoring areas based on the icing early warning levels corresponding to the current conveying areas;
the unmanned aerial vehicle cruise sequence setting module is used for setting a cruise sequence of the unmanned aerial vehicle to a key monitoring area;
the system comprises a first-choice monitoring area power line section cruise monitoring module, a second-choice monitoring area power line section cruise monitoring module and a third-choice monitoring area control module, wherein the first-choice monitoring area power line section cruise monitoring module is used for extracting a first-place key monitoring area from a cruise sequence of the key monitoring area by the unmanned aerial vehicle, marking the first-place key monitoring area as a first-choice monitoring area, then the unmanned aerial vehicle navigates to the first-choice monitoring area according to the geographic position of the first-choice monitoring area, and simultaneously, cruise monitoring is carried out on the power line section in the first-choice monitoring area through a three-dimensional high-definition camera carried by the unmanned aerial vehicle to obtain icing parameters and basic parameters of the power line section in the first-choice monitoring area;
the reference database is used for storing reference icing risk attributes, storing icing risk coefficients which can be born by unit diameters and correspond to various transmission line materials, and storing icing critical coefficients corresponding to various icing early warning levels;
the deicing judgment processing module is used for judging whether the transmission line section in the preferred monitoring area needs deicing according to the icing parameters and the basic parameters of the transmission line section in the preferred monitoring area, and if the transmission line section needs deicing, deicing equipment carried on the unmanned aerial vehicle carries out deicing processing on the transmission line section in the preferred monitoring area;
and the first-choice monitoring area deicing completion processing module is used for selecting the next key monitoring area nearby for cruise monitoring after the deicing of the transmission line section in the first-choice monitoring area is completed until all key monitoring areas finish cruise.
In an implementation manner, the specific screening manner for screening out the key monitoring areas based on the icing early warning levels corresponding to the current conveying areas is as follows: and comparing the icing early warning level corresponding to each current conveying area with a preset warning icing early warning level needing cruising, and if the icing early warning level corresponding to a certain current conveying area is greater than or equal to the preset warning icing early warning level needing cruising, marking the conveying area as a key monitoring area.
In a mode that can realize, set for the unmanned aerial vehicle to the specific mode of setting for that important monitored area's cruise order corresponds for sequencing each important monitored area by the order of high to low according to icing early warning level, obtain the sequencing result of important monitored area, and then regard it as unmanned aerial vehicle to the order of cruising of important monitored area.
In one implementation manner, the icing parameters include the number of icing sections, the corresponding icing thickness of each icing section, and the icing position distance.
In one implementation manner, the ice coating position distance is a distance between a center point of the ice coating section and a center point of the power line section.
In one implementation, the basic parameters include power line diameter and power line material.
In an implementation manner, the determining process corresponding to determining whether the power line section of the preferred monitoring area needs to be deiced according to the icing parameter and the basic parameter of the power line section of the preferred monitoring area is as follows:
s1, sequentially numbering the ice sections corresponding to the transmission line sections of the first-choice monitoring area according to a preset sequence, wherein the ice sections are 1,2,. multidot.,. k,. multidot.,. z;
s2, forming an ice coating risk attribute set Q of ice coating sections by corresponding ice coating thicknesses and ice coating position distances of the power line sections of the preferred monitoring area to the ice coating sections w ＝{q w 1,q w 2,...,q w k,...,q w z}，q w k represents an icing risk attribute of the kth icing section in the power line section of the preferred monitoring area, w represents an icing risk attribute, and w is u1 or u2, wherein u1 and u2 represent icing thickness and icing position distance respectively;
s3, extracting reference icing risk attribute from the reference database, comparing the icing risk attribute set of the icing sections with the reference icing risk attribute, and calculating the icing risk coefficient corresponding to each icing section, wherein the calculation formula is
η k Expressed as the icing risk factor, q, corresponding to the kth icing section u1 k、q u2 k is respectively represented as the icing thickness and the icing position distance corresponding to the kth icing section, q u1 reference 、q u2 reference Respectively representing the reference icing thickness and the reference icing position distance, and a and b respectively representing the ratio factors corresponding to the preset icing thickness and the preset icing position distance;
s4, comparing the icing risk coefficients corresponding to the icing sections with each other, and screening out the maximum icing risk coefficient;
s5, extracting the material of the transmission line from the basic parameters, matching the material with the icing risk coefficient which can be born by the unit diameter corresponding to various transmission line materials and stored in a reference database, and screening the icing risk coefficient which can be born by the unit diameter corresponding to the material of the transmission line;
s6, extracting the diameter of the transmission line from the basic parameters, and multiplying the icing risk coefficient which can be borne by the unit diameter corresponding to the material of the transmission line to obtain the icing risk coefficient which can be borne by the transmission line section of the preferred monitoring area;
s7: and comparing the maximum icing risk coefficient on the transmission line section of the first-choice monitoring area with the icing risk coefficient which can be borne by the transmission line section of the first-choice monitoring area, and if the maximum icing risk coefficient on the transmission line section of the first-choice monitoring area is greater than the icing risk coefficient which can be borne by the transmission line section of the first-choice monitoring area, judging that the transmission line section of the first-choice monitoring area needs to be deiced.
In an implementation manner, the deicing equipment carried by the unmanned aerial vehicle performs deicing on the power line segment of the preferred monitoring area, and the specific processing procedure corresponds to the following:
(1) sorting the icing sections on the transmission line section in the first-selected monitoring area according to the sequence of the icing risk coefficients from large to small, and taking the sorting result as the deicing sequence of the transmission line section in the first-selected monitoring area;
(2) and sequentially carrying out deicing treatment on the power line sections of the preferred monitoring areas according to a deicing sequence by using deicing equipment carried on the unmanned aerial vehicle.
In an implementation manner, the selection method corresponding to selecting the next key monitoring area nearby for cruise monitoring includes the following steps:
step 1: sequentially extracting key monitoring areas arranged behind from the cruising sequence of the unmanned aerial vehicle, and marking the key monitoring areas as candidate monitoring areas so as to obtain the geographic position of each candidate monitoring area;
step 2: comparing the geographical position of each candidate monitoring area with the geographical position of the preferred monitoring area, thereby obtaining the route distance between each candidate monitoring area and the preferred monitoring area;
and step 3: matching the icing early warning levels corresponding to the candidate monitoring areas with the icing critical coefficients corresponding to the icing early warning levels stored in the reference database, and matching the icing critical coefficients corresponding to the candidate monitoring areas;
and 4, step 4: evaluating the cruise demand index corresponding to each candidate monitoring area based on the icing critical coefficient corresponding to each candidate monitoring area and the route distance between each candidate monitoring area and the preferred monitoring area, wherein the evaluation formula is
The cruise demand index corresponding to the jth candidate monitoring area is expressed, j is the number of the candidate monitoring area, j belongs to (1, n), l j 、δ j Respectively expressed as the distance of a route between the jth candidate monitoring area and the first-choice monitoring area, and the ice-coating emergency coefficient l 0 The reference route distance is expressed, the natural constant is expressed as e, A, B is expressed as a weight coefficient corresponding to the set route distance and the ice coating critical coefficient respectively, and A + B is equal to 1;
and 5: and screening out the candidate monitoring area with the maximum cruise demand index from the cruise demand indexes corresponding to the candidate monitoring areas as the next key monitoring area.
Compared with the prior art, the invention has the following advantages:
1. the invention acquires the meteorological condition of the target transmission line passing through each transmission area in real time, screens out the key monitoring area according to the meteorological condition, monitors the icing thickness and the icing position distance of the transmission line section in the key monitoring area when the unmanned aerial vehicle sails to the key monitoring area, and identifies the diameter and the material of the transmission line section, thereby comprehensively judging whether the transmission line section in the key monitoring area needs to be deiced according to the attribute information and the icing condition of the transmission line section, enriching the judgment basis of the deicing requirement, effectively making up the defect that the judgment basis of the deicing requirement in the prior art is too single, further improving the precision of the judgment of the deicing requirement, improving the pertinence of the deicing operation to a certain extent, really realizing deicing according to needs, avoiding the waste of deicing resources on one hand, and improving the timeliness of the transmission line needing to deice and deicing on the other hand, the method is favorable for ensuring the time and resource abundance of the power transmission line needing deicing.
2. When a key monitoring area is screened out and the number of key monitoring areas is large, the cruising sequence of the unmanned aerial vehicle to the key monitoring area is set according to the icing early warning level of the key monitoring area, so that the key monitoring area with the higher icing early warning level can be subjected to priority patrol, the practicability is high, and the patrol efficiency of the key monitoring area is improved to the greatest extent.
3. According to the method, after the first-choice monitoring area is selected from the cruise sequence for ice-coating cruise monitoring, the next-ranked key monitoring area is not directly extracted from the cruise sequence to serve as the next monitoring target, but the cruise demand index of each candidate monitoring area is estimated based on the geographic position of the first-choice monitoring area and the icing early warning level of each candidate monitoring area ranked behind the first-choice monitoring area in the cruise sequence, and then the candidate monitoring area with the largest cruise demand index is screened out to serve as the next monitoring target.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic diagram of the system connection 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.
Referring to fig. 1, the electric power monitoring system based on 5G and internet of things technology comprises a target power transmission line conveying area obtaining module, a conveying area geographical position positioning module, a conveying area icing early warning level obtaining module, a key monitoring area screening module, an unmanned aerial vehicle cruising sequence setting module, a first-selected monitoring area power transmission line section cruising monitoring module, a reference database, a first-selected monitoring area power transmission line section deicing judgment processing module and a first-selected monitoring area deicing completion processing module.
The target power transmission line conveying area acquisition module is connected with the conveying area geographic position positioning module, the conveying area geographic position positioning module is connected with the conveying area icing early warning level acquisition module, the conveying area icing early warning level acquisition module is connected with the key monitoring area screening module, the key monitoring area screening module is connected with the unmanned aerial vehicle cruising sequence setting module, the unmanned aerial vehicle cruising sequence setting module is connected with the first-choice monitoring area power transmission line section cruising monitoring module, the first-choice monitoring area power transmission line section cruising monitoring module is connected with the first-choice monitoring area power transmission line section deicing judgment processing module, the conveying area geographic position positioning module, the unmanned aerial vehicle cruising sequence setting module and the conveying area icing early warning level acquisition module are all connected with the first-choice monitoring area deicing completion processing module, and the reference database is respectively connected with the deicing judgment processing module of the transmission line segment of the preferred monitoring area and the deicing completion processing module of the preferred monitoring area.
The target power transmission line transmission area acquisition module is used for recording power transmission lines to be subjected to power monitoring as target power transmission lines, counting the number of transmission areas through which the target power transmission lines pass, and marking each transmission area as 1,2, a.
The conveying area geographic position positioning module is used for positioning the geographic position corresponding to each conveying area.
And the icing early warning grade acquisition module of the conveying area is used for acquiring the icing early warning grade corresponding to each current conveying area from the weather station according to the geographic position corresponding to each conveying area.
The key monitoring area screening module is used for screening key monitoring areas based on icing early warning levels corresponding to the current conveying areas, and the specific screening process is as follows:
and comparing the icing early warning level corresponding to each current conveying area with a preset warning icing early warning level needing cruising, and if the icing early warning level corresponding to a certain current conveying area is greater than or equal to the preset warning icing early warning level needing cruising, marking the conveying area as a key monitoring area.
The unmanned aerial vehicle cruise order setting module is used for setting the cruise order of the unmanned aerial vehicle to key monitoring areas, and the specific setting mode is that each key monitoring area is sequenced from high to low according to the icing early warning level, so that the sequencing result of the key monitoring areas is obtained, and the sequencing result is used as the cruise order of the unmanned aerial vehicle to the key monitoring areas.
When the key monitoring areas are screened out and the number of the key monitoring areas is large, the cruising sequence of the unmanned aerial vehicle to the key monitoring areas is set according to the icing early warning levels of the key monitoring areas, so that the key monitoring areas with high icing early warning levels can be subjected to priority patrol, the practicability is high, and the patrol efficiency of the key monitoring areas is improved to the greatest extent.
The cruise monitoring module for the power line sections in the first-choice monitoring area is used for extracting key monitoring areas arranged in the first place from the cruise sequence of the key monitoring areas by the unmanned aerial vehicle, recording the key monitoring areas as the first-choice monitoring areas, then the unmanned aerial vehicle navigates to the first-choice monitoring areas according to the geographical positions of the first-choice monitoring areas, and simultaneously, the cruise monitoring is carried out on the power line sections in the first-choice monitoring areas through a three-dimensional high-definition camera carried by the unmanned aerial vehicle, so that ice coating parameters and basic parameters of the power line sections in the first-choice monitoring areas are obtained, wherein the ice coating parameters comprise the number of ice coating sections, the ice coating thickness and the ice coating position distance corresponding to each ice coating section, and the basic parameters comprise the diameter and the material of the power line.
It should be noted that the above-mentioned icing position distance refers to a distance between a center point of an icing section and a center point of a power line section, wherein a shorter icing position distance corresponding to a certain icing section indicates that the position of the icing section is closer to the center point of the power line section.
The reference database is used for storing reference icing risk attributes, wherein the reference icing risk attributes comprise reference icing thickness and reference icing position distance, icing risk coefficients which can be borne by unit diameters and correspond to various power transmission line materials are stored, and icing emergency coefficients corresponding to various icing early warning levels are stored.
The deicing judgment processing module of the transmission line section in the preferred monitoring area is used for judging whether the transmission line section in the preferred monitoring area needs to be deiced according to the icing parameters and the basic parameters of the transmission line section in the preferred monitoring area, and the judgment process is as follows:
s1, sequentially numbering the ice sections corresponding to the transmission line sections of the first-choice monitoring area according to a preset sequence, wherein the ice sections are 1,2,. multidot.,. k,. multidot.,. z;
s2, forming an ice coating risk attribute set Q of ice coating sections by corresponding ice coating thicknesses and ice coating position distances of the power line sections of the preferred monitoring area to the ice coating sections w ＝{q w 1,q w 2,...,q w k,...,q w z}，q w k represents an icing risk attribute of the kth icing section in the power line section of the preferred monitoring area, w represents an icing risk attribute, and w is u1 or u2, wherein u1 and u2 represent icing thickness and icing position distance respectively;
s3, extracting reference icing risk attribute from the reference database, comparing the icing risk attribute set of the icing sections with the reference icing risk attribute, and calculating the icing risk coefficient corresponding to each icing section, wherein the calculation formula is
η k Expressed as the icing risk factor, q, corresponding to the kth icing section u1 k、q u2 k is respectively represented as the icing thickness and the icing position distance corresponding to the kth icing section, q u1 reference 、q u2 reference Respectively representing the reference icing thickness and the reference icing position distance, and a and b respectively representing the ratio factors corresponding to the preset icing thickness and the preset icing position distance;
as a preferred technical scheme of the invention, the influence of the icing thickness on the icing risk coefficient in the icing risk coefficient calculation formula is positive influence, and the influence of the icing position distance on the icing risk coefficient is negative influence;
s4, comparing the icing risk coefficients corresponding to the icing sections with each other, and screening out the maximum icing risk coefficient;
s5, extracting the material of the transmission line from the basic parameters, matching the material with the icing risk coefficient which can be born by the unit diameter corresponding to various transmission line materials and stored in a reference database, and screening the icing risk coefficient which can be born by the unit diameter corresponding to the material of the transmission line;
s6, extracting the diameter of the transmission line from the basic parameters, and multiplying the icing risk coefficient which can be borne by the unit diameter corresponding to the material of the transmission line to obtain the icing risk coefficient which can be borne by the transmission line section of the preferred monitoring area;
s7: and comparing the maximum icing risk coefficient on the transmission line section of the first-choice monitoring area with the icing risk coefficient which can be borne by the transmission line section of the first-choice monitoring area, and if the maximum icing risk coefficient on the transmission line section of the first-choice monitoring area is greater than the icing risk coefficient which can be borne by the transmission line section of the first-choice monitoring area, judging that the transmission line section of the first-choice monitoring area needs to be deiced.
The embodiment of the invention acquires the meteorological condition of the target transmission line passing through each transmission area in real time, screens out the key monitoring area according to the meteorological condition, monitors the icing thickness and the icing position distance of the transmission line section in the key monitoring area when the unmanned aerial vehicle sails to the key monitoring area, and identifies the diameter and the material of the transmission line section, thereby comprehensively judging whether the transmission line section in the key monitoring area needs to be deiced or not by combining the attribute information of the transmission line section and the icing condition, enriching the judgment basis of the deicing requirement, effectively making up the defect that the judgment basis of the deicing requirement in the prior art is too single, further improving the precision of the judgment of the deicing requirement, improving the pertinence of deicing operation to a certain extent, really realizing deicing as required, avoiding the waste of deicing resources on one hand, and improving the timeliness of deicing of the transmission line needing to deice on the other hand, the method is favorable for ensuring the time and resource abundance of the power transmission line needing deicing.
If the deicing is needed, deicing equipment carried by the unmanned aerial vehicle carries out deicing treatment on the power line section in the preferred monitoring area, and the specific treatment process is as follows:
(1) sorting the icing sections on the transmission line section in the first-selected monitoring area according to the sequence of the icing risk coefficients from large to small, and taking the sorting result as the deicing sequence of the transmission line section in the first-selected monitoring area;
(2) and sequentially carrying out deicing treatment on the power line sections of the preferred monitoring areas according to a deicing sequence by using deicing equipment carried on the unmanned aerial vehicle.
In a specific embodiment, the ice is removed according to the sequence of the ice covering risk coefficients from large to small, so that the preferential ice removal of the ice covering section with the largest ice covering risk coefficient is realized, on one hand, the ice removal requirement can be met, and on the other hand, in the process of removing ice on the ice covering section with the largest ice covering risk coefficient, some ice covering sections with smaller ice covering thickness can automatically fall off along with the processing process, so that the attached ice removal is realized, the ice removal efficiency can be improved, the ice removal resources can be saved, and the ice removal level is greatly improved.
And the deicing completion processing module of the preferred monitoring area is used for selecting a next key monitoring area nearby for cruise monitoring after the deicing of the transmission line section in the preferred monitoring area is completed until all key monitoring areas finish cruise.
The selection method corresponding to the cruise monitoring by selecting the next key monitoring area nearby comprises the following steps:
step 1: sequentially extracting key monitoring areas arranged behind from the cruising sequence of the unmanned aerial vehicle, and marking the key monitoring areas as candidate monitoring areas so as to obtain the geographic position of each candidate monitoring area;
step 2: comparing the geographical position of each candidate monitoring area with the geographical position of the preferred monitoring area, thereby obtaining the route distance between each candidate monitoring area and the preferred monitoring area;
and step 3: matching the icing early warning levels corresponding to the candidate monitoring areas with the icing emergency coefficients corresponding to the icing early warning levels stored in the reference database, and matching the icing emergency coefficients corresponding to the candidate monitoring areas;
and 4, step 4: evaluating the cruise demand index corresponding to each candidate monitoring area based on the icing critical coefficient corresponding to each candidate monitoring area and the route distance between each candidate monitoring area and the preferred monitoring area, wherein the evaluation formula is
The cruise demand index corresponding to the jth candidate monitoring area is expressed, j is the number of the candidate monitoring area, j belongs to (1, n), l j 、δ j Respectively expressed as the distance of the route between the jth candidate monitoring area and the first-selected monitoring area, and the ice-covering critical coefficient l 0 The reference route distance is expressed, the natural constant is expressed as e, A, B is expressed as a weight coefficient corresponding to the set route distance and the ice coating critical coefficient respectively, and A + B is equal to 1;
it should be noted that, in the cruise demand index evaluation formula, the larger the icing critical coefficient of a certain candidate monitoring area is, and the shorter the route distance between the candidate monitoring area and the preferred monitoring area is, the larger the cruise demand index corresponding to the candidate monitoring area is, which indicates that the cruise demand degree corresponding to the candidate monitoring area is higher;
and 5: and screening out the candidate monitoring area with the maximum cruise demand index from the cruise demand indexes corresponding to the candidate monitoring areas as the next key monitoring area.
According to the embodiment of the invention, after the preferred monitoring area is selected from the cruise sequence for ice-coating cruise monitoring, the key monitoring area arranged next is not directly extracted from the cruise sequence to be used as the next monitoring target, but the cruise demand index of each candidate monitoring area is estimated based on the geographical position of the preferred monitoring area and the icing early warning level of each candidate monitoring area arranged behind the preferred monitoring area in the cruise sequence, and then the candidate monitoring area with the largest cruise demand index is selected as the next monitoring target.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. The utility model provides a power monitoring system based on 5G and internet of things, its characterized in that includes:
the target power transmission line transmission area acquisition module is used for recording the power transmission lines to be subjected to power monitoring as target power transmission lines, further counting the number of transmission areas through which the target power transmission lines pass, and marking each transmission area as 1,2,. once, i,. once, n;
the conveying area geographic position positioning module is used for positioning the geographic position corresponding to each conveying area;
the conveying area icing early warning grade acquisition module is used for acquiring the icing early warning grade corresponding to each current conveying area from the weather station according to the geographic position corresponding to each conveying area;
the key monitoring area screening module is used for screening key monitoring areas based on the icing early warning levels corresponding to the current conveying areas;
the unmanned aerial vehicle cruise sequence setting module is used for setting a cruise sequence of the unmanned aerial vehicle to a key monitoring area;
the system comprises a first-choice monitoring area power line section cruise monitoring module, a second-choice monitoring area power line section cruise monitoring module and a third-choice monitoring area control module, wherein the first-choice monitoring area power line section cruise monitoring module is used for extracting a first-place key monitoring area from a cruise sequence of the key monitoring area by the unmanned aerial vehicle, marking the first-place key monitoring area as a first-choice monitoring area, then the unmanned aerial vehicle navigates to the first-choice monitoring area according to the geographic position of the first-choice monitoring area, and simultaneously, cruise monitoring is carried out on the power line section in the first-choice monitoring area through a three-dimensional high-definition camera carried by the unmanned aerial vehicle to obtain icing parameters and basic parameters of the power line section in the first-choice monitoring area;
the reference database is used for storing reference icing risk attributes, storing icing risk coefficients which can be born by unit diameters and correspond to various transmission line materials, and storing icing critical coefficients corresponding to various icing early warning levels;
the deicing judgment processing module is used for judging whether the transmission line section in the preferred monitoring area needs deicing according to the icing parameters and the basic parameters of the transmission line section in the preferred monitoring area, and if the transmission line section needs deicing, deicing equipment carried on the unmanned aerial vehicle carries out deicing processing on the transmission line section in the preferred monitoring area;
and the first-choice monitoring area deicing completion processing module is used for selecting the next key monitoring area nearby for cruise monitoring after the deicing of the transmission line section in the first-choice monitoring area is completed until all key monitoring areas finish cruise.
2. The power monitoring system based on 5G and Internet of things technology according to claim 1, wherein: the specific screening mode for screening key monitoring areas based on the icing early warning levels corresponding to the current conveying areas is as follows: and comparing the icing early warning level corresponding to each current conveying area with a preset warning icing early warning level needing cruising, and if the icing early warning level corresponding to a certain current conveying area is greater than or equal to the preset warning icing early warning level needing cruising, marking the conveying area as a key monitoring area.
3. The power monitoring system based on 5G and Internet of things technology according to claim 1, wherein: and setting a specific setting mode corresponding to the cruising sequence of the unmanned aerial vehicle to the key monitoring areas as sequencing each key monitoring area from high to low according to the icing early warning level to obtain a sequencing result of the key monitoring areas, and then taking the sequencing result as the cruising sequence of the unmanned aerial vehicle to the key monitoring areas.
4. The power monitoring system based on 5G and Internet of things technology according to claim 1, wherein: the icing parameters comprise the number of icing sections, the icing thickness corresponding to each icing section and the icing position distance.
5. The power monitoring system based on 5G and Internet of things technology according to claim 4, wherein: the distance of the ice coating position refers to the distance between the center point of the ice coating section and the center point of the power transmission line section.
6. The power monitoring system based on 5G and Internet of things technology according to claim 5, wherein: the basic parameters include power line diameter and power line material.
7. The power monitoring system based on 5G and Internet of things technology according to claim 6, wherein: the judgment process corresponding to judging whether the transmission line section of the preferred monitoring area needs to be deiced according to the icing parameters and the basic parameters of the transmission line section of the preferred monitoring area is as follows:
s1, sequentially numbering the ice sections corresponding to the transmission line sections of the first-choice monitoring area according to a preset sequence, wherein the ice sections are 1,2,. multidot.,. k,. multidot.,. z;
s2, forming an ice coating risk attribute set Q of ice coating sections by corresponding ice coating thicknesses and ice coating position distances of the power line sections of the preferred monitoring area to the ice coating sections w ＝{q w 1,q w 2,...,q w k,...,q w z}，q w k represents an icing risk attribute of the kth icing section in the power line section of the preferred monitoring area, w represents an icing risk attribute, and w is u1 or u2, wherein u1 and u2 represent icing thickness and icing position distance respectively;
s3, extracting reference icing risk attribute from the reference database, comparing the icing risk attribute set of the icing sections with the reference icing risk attribute, and calculating the icing risk coefficient corresponding to each icing section, wherein the calculation formula is
η k Expressed as the icing risk factor, q, corresponding to the kth icing section u1 k、q u2 k is respectively represented as the icing thickness and the icing position distance corresponding to the kth icing section, q u1 reference 、q u2 reference Respectively representing the reference icing thickness and the reference icing position distance, and a and b respectively representing the ratio factors corresponding to the preset icing thickness and the preset icing position distance;
s4, comparing the icing risk coefficients corresponding to the icing sections with each other, and screening out the maximum icing risk coefficient;
s5, extracting the material of the transmission line from the basic parameters, matching the material with the icing risk coefficient which can be born by the unit diameter corresponding to various transmission line materials and stored in a reference database, and screening the icing risk coefficient which can be born by the unit diameter corresponding to the material of the transmission line;
s6, extracting the diameter of the transmission line from the basic parameters, and multiplying the icing risk coefficient which can be borne by the unit diameter corresponding to the material of the transmission line to obtain the icing risk coefficient which can be borne by the transmission line section of the preferred monitoring area;
s7: and comparing the maximum icing risk coefficient on the transmission line section of the first-choice monitoring area with the icing risk coefficient which can be borne by the transmission line section of the first-choice monitoring area, and if the maximum icing risk coefficient on the transmission line section of the first-choice monitoring area is greater than the icing risk coefficient which can be borne by the transmission line section of the first-choice monitoring area, judging that the transmission line section of the first-choice monitoring area needs to be deiced.
8. The power monitoring system based on 5G and Internet of things technology according to claim 1, wherein: the specific treatment process corresponding to the deicing treatment of the power line section of the preferred monitoring area by the deicing equipment carried on the unmanned aerial vehicle is as follows:
(1) sorting the icing sections on the transmission line section in the first-selected monitoring area according to the sequence of the icing risk coefficients from large to small, and taking the sorting result as the deicing sequence of the transmission line section in the first-selected monitoring area;
(2) and sequentially carrying out deicing treatment on the power line sections of the preferred monitoring areas according to a deicing sequence by using deicing equipment carried on the unmanned aerial vehicle.
9. The power monitoring system based on 5G and Internet of things technology according to claim 1, wherein: the selection method corresponding to the cruise monitoring by selecting the next key monitoring area nearby comprises the following steps:
step 1: sequentially extracting key monitoring areas arranged behind from the cruising sequence of the unmanned aerial vehicle, and marking the key monitoring areas as candidate monitoring areas so as to obtain the geographic position of each candidate monitoring area;
step 2: comparing the geographical position of each candidate monitoring area with the geographical position of the preferred monitoring area, thereby obtaining the route distance between each candidate monitoring area and the preferred monitoring area;
and step 3: matching the icing early warning levels corresponding to the candidate monitoring areas with the icing critical coefficients corresponding to the icing early warning levels stored in the reference database, and matching the icing critical coefficients corresponding to the candidate monitoring areas;
and 4, step 4: evaluating the cruise demand index corresponding to each candidate monitoring area based on the icing critical coefficient corresponding to each candidate monitoring area and the route distance between each candidate monitoring area and the preferred monitoring area, wherein the evaluation formula is
The cruise demand index corresponding to the jth candidate monitoring area is expressed, j is the number of the candidate monitoring area, j belongs to (1, n), l j 、δ j Respectively expressed as the distance of a route between the jth candidate monitoring area and the first-choice monitoring area, and the ice-coating emergency coefficient l 0 The reference route distance is expressed, the natural constant is expressed as e, A, B is expressed as a weight coefficient corresponding to the set route distance and the ice coating critical coefficient respectively, and A + B is equal to 1;
and 5: and screening out the candidate monitoring area with the maximum cruise demand index from the cruise demand indexes corresponding to the candidate monitoring areas as the next key monitoring area.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117809416A (en) * | 2023-12-29 | 2024-04-02 | 光谷技术有限公司 | Perimeter intelligent comprehensive security management platform |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013141952A2 (en) * | 2012-03-20 | 2013-09-26 | The Boeing Company | Methods and apparatus for anti-icing and deicing power transmissions lines |
| WO2015131462A1 (en) * | 2014-03-07 | 2015-09-11 | 国家电网公司 | Centralized monitoring system and monitoring method for unmanned aerial vehicle to patrol power transmission line |
| CN105675055A (en) * | 2016-01-26 | 2016-06-15 | 云南电网有限责任公司电力科学研究院 | Icing prediction and early-warning method and system of power transmission lines |
| CN111047177A (en) * | 2019-12-06 | 2020-04-21 | 国网湖南省电力有限公司 | Multi-source monitoring and early warning method and system for icing of power transmission line |
| CN113591586A (en) * | 2021-07-01 | 2021-11-02 | 贵州电网有限责任公司 | Power transmission line icing thickness calculation method and system based on 5G |
| CN114360197A (en) * | 2021-12-16 | 2022-04-15 | 广东电网有限责任公司 | Intelligent cooperative alarm system for power transmission line |
| CN114399082A (en) * | 2021-12-16 | 2022-04-26 | 昆明能讯科技有限责任公司 | Method and system for establishing ice melting priority of power transmission line |
-
2022
- 2022-07-06 CN CN202210847013.7A patent/CN115065169B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013141952A2 (en) * | 2012-03-20 | 2013-09-26 | The Boeing Company | Methods and apparatus for anti-icing and deicing power transmissions lines |
| WO2015131462A1 (en) * | 2014-03-07 | 2015-09-11 | 国家电网公司 | Centralized monitoring system and monitoring method for unmanned aerial vehicle to patrol power transmission line |
| CN105675055A (en) * | 2016-01-26 | 2016-06-15 | 云南电网有限责任公司电力科学研究院 | Icing prediction and early-warning method and system of power transmission lines |
| CN111047177A (en) * | 2019-12-06 | 2020-04-21 | 国网湖南省电力有限公司 | Multi-source monitoring and early warning method and system for icing of power transmission line |
| CN113591586A (en) * | 2021-07-01 | 2021-11-02 | 贵州电网有限责任公司 | Power transmission line icing thickness calculation method and system based on 5G |
| CN114360197A (en) * | 2021-12-16 | 2022-04-15 | 广东电网有限责任公司 | Intelligent cooperative alarm system for power transmission line |
| CN114399082A (en) * | 2021-12-16 | 2022-04-26 | 昆明能讯科技有限责任公司 | Method and system for establishing ice melting priority of power transmission line |
Non-Patent Citations (1)
| Title |
|---|
| 付子峰;吴启进;刘继承;郭景武;王星超;李龙云;: "人工智能除冰技术在输电线路中的应用" * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117809416A (en) * | 2023-12-29 | 2024-04-02 | 光谷技术有限公司 | Perimeter intelligent comprehensive security management platform |
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