CN117273472B - Power grid operation risk monitoring management system - Google Patents

Power grid operation risk monitoring management system Download PDF

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Publication number
CN117273472B
CN117273472B CN202311573246.3A CN202311573246A CN117273472B CN 117273472 B CN117273472 B CN 117273472B CN 202311573246 A CN202311573246 A CN 202311573246A CN 117273472 B CN117273472 B CN 117273472B
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monitoring
monitoring line
line section
stay wire
risk
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CN117273472A (en
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张威
程登峰
王斌
王献礼
周贝
刘文伟
金红涛
奚俊
何明
汪伟鸣
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HEFEI YOUO ELECTRONIC TECHNOLOGY CO LTD
Xuancheng Power Supply Co of State Grid Anhui Electric Power Co Ltd
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HEFEI YOUO ELECTRONIC TECHNOLOGY CO LTD
Xuancheng Power Supply Co of State Grid Anhui Electric Power Co Ltd
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    • G06T7/60—Analysis of geometric attributes
    • 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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    • G01—MEASURING; TESTING
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Abstract

The invention relates to the technical field of power grid operation risk monitoring management, and particularly discloses a power grid operation risk monitoring management system, which comprises a power transmission line information acquisition module, a power line stay wire hardware monitoring analysis module, a power line spacer monitoring analysis module, a power transmission line monitoring analysis module, a cloud database, a power grid operation risk analysis module and a power grid operation risk feedback terminal; according to the invention, the operation risk analysis of the power transmission line of the power tower is performed through the stay wire fitting layer, the spacer layer and the power transmission line layer, and feedback is performed, so that the multi-dimensional analysis of the operation risk of the power transmission line of the power tower is realized, the problems of long time consumption period, complicated investigation process and the like in a periodic investigation risk analysis mode of maintenance personnel are effectively solved, the error of risk monitoring and evaluation is reduced, the rationality and the accuracy of a risk analysis result are ensured, and the representativeness of a cable part risk investigation result is improved.

Description

Power grid operation risk monitoring management system
Technical Field
The invention relates to the technical field of power grid operation risk monitoring and management, in particular to a power grid operation risk monitoring and management system.
Background
The electric power tower transmission line plays an important bridge role in connecting a power supply and a user in the operation of a power grid, maintains the distance between lines and adjusts the direction and the position of the lines by supporting and transmitting electric energy, so that the stable operation of an electric power system is ensured, and the importance of monitoring and managing the operation risk of the electric power tower transmission line is self-evident.
The prior operation risk monitoring management of the power transmission line of the power pole tower mainly carries out periodic investigation on the site of the power transmission line by operation and maintenance personnel, and carries out risk analysis according to the investigation result, and obviously, the operation risk monitoring management mode has the following problems: 1. the mode of carrying out risk analysis according to manual investigation result is long in time consuming period, and the investigation process is also comparatively loaded down with trivial details to there is very big error nature, can't ensure the rationality and the reliability of risk analysis result, and periodic monitoring mode can't ensure timeliness and the instantaneity of electric wire netting operation risk processing, thereby reduces the processing efficiency of unusual risk, and then has increased engineering cost.
2. The risk investigation of the cable part has certain deficiency, can't guarantee the coverage rate of the risk investigation of the cable part for the representativeness of the risk investigation result of the cable part is not strong, specifically includes:
1) The risk investigation on the wire drawing hardware level is certainly lacking, the risk analysis is carried out only according to the apparent information of the wire drawing hardware, the comprehensive operation risk analysis is carried out under the condition of the dynamic change of the position of the wire drawing hardware, the analysis depth is insufficient, and the persuasion and the reliability of the risk analysis on the wire drawing hardware level are reduced.
2) The risk investigation on the spacer layer surface is in a certain shortage, whether the connecting bolts of the spacer are fastened or not is only judged, and the depth analysis is not carried out on the fastening influence factors of the connecting bolts, so that the risk analysis dimension of the spacer layer surface is single, and the potential safety hazard of the operation of the spacer layer surface is increased.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, a power grid operation risk monitoring and management system is proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides a power grid operation risk monitoring management system, which comprises: the power transmission line information acquisition module is used for dividing the target power transmission line into monitoring line sections according to the positions of the towers, numbering the monitoring line sections, acquiring images of the monitoring line sections, and acquiring the vertex coordinates of the stay wire fittings through GPS sensors arranged at the vertices of the stay wire fittings of the monitoring line sections.
The power line stay wire fitting monitoring and analyzing module is used for analyzing risk coefficients of the corresponding stay wire fitting layers of all the monitoring line sections according to the images of all the monitoring line sections and the vertex coordinates of all the stay wire fittingsWherein->Number representing the section of the monitoring line, +.>。
The power line spacer monitoring and analyzing module is used for analyzing risk coefficients of spacer layers corresponding to the monitoring line sections according to the images of the monitoring line sections。
The power transmission line monitoring and analyzing module is used for analyzing risk coefficients of transmission line layers corresponding to all monitoring line sections according to the images of all the monitoring line sections。
The cloud database is used for storing standard images of the stay wire hardware fittings and standard vertex coordinates of the stay wire hardware fittings of each monitoring line section, storing standard fastening heights of single connecting bolts, storing initial minimum heights of all power transmission lines in each height layer corresponding to each monitoring line section, and storing safe horizontal interval sections of the power transmission lines.
The power grid operation risk analysis module is used for analyzing operation risk coefficients of all monitoring line sections。
And the power grid operation risk feedback terminal is used for extracting the number of a monitoring line section and feeding back when the operation risk coefficient of the monitoring line section is greater than or equal to a set value.
Specifically, the risk coefficient of each monitoring line section corresponding to the stay wire hardware level is analyzed, and the specific analysis process is as follows: a1, extracting a standard image of the stay wire fitting from a cloud database, positioning a center point of the stay wire fitting from the standard image, taking the center point as a base point as a center line, taking a plane of a cable support contacted with the vertex of the stay wire fitting as a reference plane, obtaining an included angle between the center line of the stay wire fitting and the reference plane, and recording the included angle as a reference included angle。
A2, positioning the image of each stay wire fitting from the image of each monitoring line section, and analyzing the actual included angle of each stay wire fitting of each monitoring line section in the same way according to the analysis mode of the reference included angle, wherein the actual included angle is recorded asWherein->Number indicating the wire-drawing hardware fitting->。
A3, calculating the offset coefficient of the horizontal direction of the stay wire fitting corresponding to each monitoring line section，/>Wherein->Indicating the total deviation angle of the set reference, +.>Representing natural normal timesA number.
A4, calculating the offset coefficient of the vertical direction of the stay wire fitting corresponding to each monitoring line section according to the vertex coordinates of each stay wire fitting of each monitoring line section。
A5, locating the outline volume of each stay wire fitting from the image of each stay wire fitting of each monitoring line section, and calculating the deformation degree of the corresponding stay wire fitting of each monitoring line section according to the outline volume。
A6, calculating risk coefficients of the stay wire hardware fitting layers corresponding to the monitoring line sections，。
Wherein,and->Respectively representing the offset coefficient of the horizontal direction, the offset coefficient of the vertical direction and the deformability of the set reference +.>、/>And->Risk assessment duty ratio weights of corresponding stay wire hardware level of set horizontal direction deviation, vertical direction deviation and deformation degree assessment are respectively represented, and +.>And the risk assessment correction factor of the stay wire hardware level is represented.
Specifically, the calculating the offset coefficient of the vertical direction of the stay wire fitting corresponding to each monitoring line section includes the following specific calculating process: b1, marking the peak positions of the stay wire fittings of each monitoring line section as。
B2, extracting standard vertex coordinates of the stay wire fittings of each monitoring line section from the cloud database, and marking the standard vertex coordinates as。
B3, calculating the offset coefficient of the vertical direction of the stay wire fitting corresponding to each monitoring line section，Wherein->The vertex distance deviation of the set reference is shown.
Specifically, the risk coefficient of each monitoring line section corresponding to the spacer layer is analyzed, and the specific analysis process is as follows: c1, locating the number of rusted positions on the surface of each spacer and the corresponding rusted area of each rusted position from the image of each monitoring line section, and calculating the surface rusting degree of each spacer of each monitoring line section according to the number of rusted positions and the corresponding rusted area of each rusted positionWherein->The number of the spacer is indicated,。
c2, locating the fastening height of each connecting bolt of each spacer from the image of each monitoring line section, and marking asWhich is provided withMiddle->Number indicating connecting bolt->。
C3, extracting standard fastening height of single connecting bolt from cloud database, and recording as。
C4, arranging each monitoring point on the top surface of the nut of each connecting bolt of each spacer rod of each monitoring line section, extracting the vertical distance between each monitoring point and the corresponding connecting bolt screwing plane, recording the vertical distance as the monitoring distance of each monitoring point, and setting the fastening influence factor of each spacer rod of each monitoring line section。
C5, calculating the tightness of the connecting bolts in the spacers corresponding to each monitoring line section，/>Wherein->The fastening height deviation of the connecting bolt for setting reference is shown.
C6, calculating risk coefficients of each spacer of each monitoring line section。
C7, if the risk coefficient of a certain spacer of a certain monitoring line section is greater than or equal to a set value, judging the spacer as an abnormal spacer, counting the number of abnormal spacers of each monitoring line section, and marking as。
C8, extracting the maximum risk coefficient from the risk coefficients of the spacers of each monitoring line section, and marking as。
C9, calculating risk coefficients of the corresponding spacer layers of the monitoring line sections，/>Wherein->And->The number of abnormal spacers and the risk factor of the spacers are respectively shown as the set reference +.>And->The set abnormal spacer number ratio and the risk evaluation corresponding spacer layer risk evaluation ratio weight of the spacer are respectively expressed,representing the number of spacers.
Specifically, the fastening influence factors of the spacers of each monitoring line section are set, and the specific setting process is as follows: d1, extracting the maximum monitoring distance from the monitoring distances of the monitoring points in the spacers corresponding to the monitoring line sections, and marking the maximum monitoring distance as。
D2, carrying out mutual difference on the monitoring distances of the monitoring points in the spacers corresponding to the monitoring line sections to obtain monitoring distance deviation among the monitoring points, extracting the maximum monitoring distance deviation from the monitoring distance deviation, and recording the maximum monitoring distance deviation as。
D3, calculating the fastening influence factors of the spacers of the monitoring line sections，/>Wherein->Indicating the set monitoring distance->Indicating the deviation of the monitoring distance of the set reference +.>And->And respectively representing the set monitoring distance and the corresponding tightening influence evaluation duty ratio weight of the monitoring distance deviation.
Specifically, the calculation formula of the risk coefficient of each spacer of each monitoring line section is as follows:wherein->And->Respectively indicating the surface rust degree and the tightness of the set reference, +.>And->And respectively representing the risk evaluation duty ratio weight of the set spacer corresponding to the surface rust and tightness evaluation.
Specifically, the risk coefficient of each monitoring line section corresponding to the power transmission line layer is analyzed, and the specific analysis process is as follows: and E1, locating the height of the lowest point corresponding to each power transmission line of each height layer and the horizontal distance between each power transmission line from the image of each monitoring line section.
E2, comparing the horizontal distance between the power lines of each height layer of each monitoring line section with the safe horizontal distance interval of the power lines stored in the cloud database, counting the number of the power lines of each monitoring line section positioned in the safe horizontal distance interval, and recording as。
E3, calculating the distance risk coefficient of the corresponding power transmission line of each monitoring line section，/>Wherein->Representing the number of abnormal power lines for which reference is set, +.>Representing the set pitch risk assessment correction factor of the transmission line.
E4, calculating the loose coincidence degree of the corresponding power lines of each monitoring line section according to the height of the corresponding lowest point of each power line of each height layer of each monitoring line section。
E5, calculating risk coefficients of power transmission line layers corresponding to all monitoring line sections，/>Wherein->And->Respectively representing the relaxation compliance and the spacing risk factor of the set reference, +.>And->And respectively representing the set loose compliance and the risk evaluation duty ratio weight of the risk evaluation corresponding to the power transmission line level.
Specifically, the calculating the loose compliance degree of the corresponding power transmission line of each monitoring line section comprises the following specific calculation formula: f1, recording the height of the lowest point corresponding to each power transmission line of each height layer of each monitoring line section asWherein->Number indicating height layer, ++>，/>Representing the number of the transmission line, ">。
F2, extracting initial minimum height of each power transmission line in each height layer corresponding to each monitoring line section from the cloud database, and recording as。
F3, calculating the loose coincidence degree of the corresponding power transmission line of each monitoring line section，/>Wherein->The lowest height deviation of the set reference is indicated.
Specifically, the calculation formula of the running risk coefficient of each monitoring line section is as follows:wherein->And->And respectively representing the set corresponding operation risk assessment duty ratio weights of the stay wire hardware fitting layer, the spacer layer and the power transmission line layer.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the invention, the operation risk analysis of the power transmission line of the power pole tower is performed through the stay wire fitting layer, the spacer layer and the power transmission line layer, and feedback is performed, so that the limitation existing in the current operation risk monitoring management mode is effectively solved, the multi-dimensional analysis of the operation risk of the power transmission line of the power pole tower is realized, the problems of long time consuming period, complicated investigation process and the like in the periodic investigation risk analysis mode of maintenance personnel are effectively solved, the error of risk monitoring evaluation is reduced, the rationality and the accuracy of the risk analysis result are ensured, the operation safety of a subsequent power grid is ensured, the coverage rate of risk investigation of cable parts is ensured, and the representativeness of the risk investigation result of the cable parts is improved.
(2) According to the risk analysis method, the risk coefficient of the stay wire hardware level is calculated by calculating the horizontal deviation coefficient, the vertical deviation coefficient and the deformation degree of the stay wire hardware, so that the risk condition of the stay wire hardware level is intuitively displayed, the coverage of risk analysis of the stay wire hardware level is expanded, and the persuasion of the risk analysis of the stay wire hardware level is improved.
(3) According to the invention, the risk coefficient of the spacer layer is calculated by calculating the surface rust degree of the spacer and the fastening degree of the connecting bolt, so that the risk analysis comprehensiveness of the spacer layer is improved, the reference basis of the risk analysis of the spacer layer is expanded, the operation potential safety hazard of the spacer layer is reduced, the fastening influence coefficient of each spacer of each monitoring line section is set, the reliability of the fastening degree analysis of the connecting bolt of the spacer is improved, the real state of the connecting bolt of the spacer is restored, and a reliable data support basis is provided for the risk analysis of the subsequent spacer layer.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram showing the connection of the system modules according to the present invention.
Fig. 2 is a schematic structural diagram of the stay wire fitting of the present invention.
Description of the drawings: 1. and the image of the stay wire fitting, 2, the cable bracket, 3, the peak of the stay wire fitting, 4, the stay wire fitting, 5, the central line of the stay wire fitting and 6, and the actual included angle.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a power grid operation risk monitoring and managing system, including: the system comprises a power transmission line information acquisition module, a power line stay wire hardware monitoring and analyzing module, a power line spacer monitoring and analyzing module, a power transmission line monitoring and analyzing module, a cloud database, a power grid operation risk analyzing module and a power grid operation risk feedback terminal.
The power line stay wire fitting monitoring and analyzing module, the power line spacer monitoring and analyzing module and the power transmission line monitoring and analyzing module are connected with the power transmission line information acquisition module, the cloud database and the power grid operation risk analyzing module, and the power grid operation risk analyzing module is connected with the power grid operation risk feedback terminal.
The power transmission line information acquisition module is used for dividing the target power transmission line into monitoring line sections according to the positions of towers, numbering the monitoring line sections, acquiring images of the monitoring line sections, and acquiring the vertex coordinates of the stay wire fittings through GPS sensors arranged at the vertices of the stay wire fittings of the monitoring line sections.
The images of the monitoring line sections are acquired by high-definition rotatable cameras arranged on the towers.
The power line stay wire fitting monitoring and analyzing module is used for analyzing risk coefficients of the corresponding stay wire fitting layers of all the monitoring line sections according to the images of all the monitoring line sections and the vertex coordinates of all the stay wire fittingsWherein->Number representing the section of the monitoring line, +.>。
In a specific embodiment of the invention, the risk coefficient of each monitoring line section corresponding to the stay wire hardware level is analyzed, and the specific analysis process is as follows: a1, extracting a standard image of the stay wire fitting from a cloud database, positioning a center point of the stay wire fitting from the standard image, taking the center point as a base point as a center line, taking a plane of a cable support contacted with the vertex of the stay wire fitting as a reference plane, obtaining an included angle between the center line of the stay wire fitting and the reference plane, and recording the included angle as a reference included angle。
A2, positioning the image of each stay wire fitting from the image of each monitoring line section, and analyzing the actual included angle of each stay wire fitting of each monitoring line section in the same way according to the analysis mode of the reference included angle, wherein the actual included angle is recorded asWherein->Number indicating the wire-drawing hardware fitting->。
A3, calculating the offset coefficient of the horizontal direction of the stay wire fitting corresponding to each monitoring line section，/>Wherein->Indicating the total deviation angle of the set reference, +.>Representing natural constants.
A4, calculating the offset coefficient of the vertical direction of the stay wire fitting corresponding to each monitoring line section according to the vertex coordinates of each stay wire fitting of each monitoring line section。
In a specific embodiment of the present invention, the calculating the offset coefficient of the vertical direction of the stay wire fitting corresponding to each monitoring line section specifically includes: b1, marking the peak positions of the stay wire fittings of each monitoring line section as。
B2, extracting standard vertex coordinates of the stay wire fittings of each monitoring line section from the cloud database, and marking the standard vertex coordinates as。
B3, calculating the offset coefficient of the vertical direction of the stay wire fitting corresponding to each monitoring line section，Wherein->The vertex distance deviation of the set reference is shown.
A5, locating the outline volume of each stay wire fitting from the image of each stay wire fitting of each monitoring line section, and calculating the deformation degree of the corresponding stay wire fitting of each monitoring line section according to the outline volume。
The deformation degree of the stay wire fitting corresponding to each monitoring line section is calculated, and the specific calculation process is as follows: g1, locating the standard contour volume of the stay wire fitting from the standard image of the stay wire fitting, and marking as。
G2, overlapping and comparing the contour volume of each stay wire fitting of each monitoring line section with the standard contour volume of the stay wire fitting to obtain the overlapping contour volume of each stay wire fitting of each monitoring line section, which is recorded as。
G3, calculating the deformation degree of the stay wire fitting corresponding to each monitoring line section，/>Wherein->The overlapping volume ratio of the set reference is shown.
A6, calculating risk coefficients of the stay wire hardware fitting layers corresponding to the monitoring line sections，；
Wherein,and->Respectively representing the offset coefficient of the horizontal direction, the offset coefficient of the vertical direction and the deformability of the set reference +.>、/>And->Risk assessment duty ratio weights of corresponding stay wire hardware level of set horizontal direction deviation, vertical direction deviation and deformation degree assessment are respectively represented, and +.>And the risk assessment correction factor of the stay wire hardware level is represented.
According to the embodiment of the invention, the risk coefficient of the stay wire fitting layer is calculated by calculating the horizontal deviation coefficient, the vertical deviation coefficient and the deformation degree of the stay wire fitting, so that the risk condition of the stay wire fitting layer is intuitively displayed, the coverage of risk analysis of the stay wire fitting layer is expanded, and the persuasion of the risk analysis of the stay wire fitting layer is improved.
The power line spacer monitoring and analyzing module is used for analyzing risk coefficients of spacer layers corresponding to the monitoring line sections according to the images of the monitoring line sections。
In a specific embodiment of the present invention, the risk coefficient of each monitoring line section corresponding to the spacer layer is analyzed, and a specific analysis process is as follows: c1, locating the number of rusted positions on the surface of each spacer and the corresponding rusted area of each rusted position from the image of each monitoring line section, and calculating the surface rusting degree of each spacer of each monitoring line section according to the number of rusted positions and the corresponding rusted area of each rusted positionWherein->Number indicating spacer->。
The method is characterized in that the surface rust degree of each spacer of each monitoring line section is calculated, and the specific calculation process is as follows: h1, respectively recording the number of rusted positions on the surfaces of each spacer rod of each monitoring line section and the corresponding rusted area of each rusted position asAnd->，/>Number indicating rust position->。
H2, calculating the surface rust degree of each spacer of each monitoring line section，/>Wherein->And->Respectively indicating the number of rust positions and rust area of the set reference, +.>And->The set number of rusted positions and the surface rusting degree evaluation duty ratio weight of the corresponding spacer of the rusting area are respectively expressed.
C2, locating the fastening height of each connecting bolt of each spacer from the image of each monitoring line section, and marking asWherein->Number indicating connecting bolt->。
The fastening height refers to a vertical distance between a bottom surface of a nut of the connecting bolt and a screwing plane of the connecting bolt.
C3, extracting standard fastening height of single connecting bolt from cloud database, and recording as。
C4, arranging each monitoring point on the top surface of the nut of each connecting bolt of each spacer rod of each monitoring line section, extracting the vertical distance between each monitoring point and the corresponding connecting bolt screwing plane, recording the vertical distance as the monitoring distance of each monitoring point, and setting the fastening influence factor of each spacer rod of each monitoring line section。
In a specific embodiment of the present invention, the setting of the tightening influence factor of each spacer of each monitoring line section specifically includes: d1, extracting the maximum monitoring distance from the monitoring distances of the monitoring points in the spacers corresponding to the monitoring line sections, and marking the maximum monitoring distance as。
D2, carrying out mutual difference on the monitoring distances of the monitoring points in the spacers corresponding to the monitoring line sections to obtain monitoring distance deviation among the monitoring points, extracting the maximum monitoring distance deviation from the monitoring distance deviation, and recording the maximum monitoring distance deviation as。
D3, calculating the fastening influence factors of the spacers of the monitoring line sections，/>Wherein->Indicating the set monitoring distance->Indicating the deviation of the monitoring distance of the set reference +.>And->And respectively representing the set monitoring distance and the corresponding tightening influence evaluation duty ratio weight of the monitoring distance deviation.
The monitoring distance is the fastening height and the height of the nut.
C5, calculating the tightness of the connecting bolts in the spacers corresponding to each monitoring line section，/>Wherein->The fastening height deviation of the connecting bolt for setting reference is shown.
C6, calculating risk coefficients of each spacer of each monitoring line section。
In a specific embodiment of the present invention, a calculation formula of risk coefficients of each spacer of each monitoring line section is:wherein->And->Respectively indicating the surface rust degree and the tightness of the set reference, +.>And->And respectively representing the risk evaluation duty ratio weight of the set spacer corresponding to the surface rust and tightness evaluation.
C7, if the risk coefficient of a certain spacer of a certain monitoring line section is larger than or equal to a set value, judging the spacer as an abnormal spacer, counting the number of abnormal spacers of each monitoring line section, and recording as。
C8, extracting the maximum risk coefficient from the risk coefficients of the spacers of each monitoring line section, and marking as。
C9, calculating risk coefficients of the corresponding spacer layers of the monitoring line sections，/>Wherein, the method comprises the steps of, wherein,and->The number of abnormal spacers and the risk factor of the spacers are respectively shown as the set reference +.>And->The risk evaluation corresponding to the spacer layer is represented by the set abnormal spacer number ratio and the risk evaluation corresponding to the spacer layer, respectively, < ->Representing the number of spacers.
According to the embodiment of the invention, the risk coefficient of the spacer layer is calculated by calculating the surface rust degree of the spacer and the fastening degree of the connecting bolt, so that the comprehensive performance of risk analysis of the spacer layer is improved, the reference basis of risk analysis of the spacer layer is expanded, the operation potential safety hazard of the spacer layer is reduced, the fastening influence coefficient of each spacer of each monitoring line section is set, the reliability of the fastening degree analysis of the connecting bolt of the spacer is improved, the real state of the connecting bolt of the spacer is restored, and a reliable data support basis is provided for the subsequent risk analysis of the spacer layer.
The power transmission line monitoring and analyzing module is used for analyzing the power transmission line surface corresponding to each monitoring line section according to the image of each monitoring line sectionRisk coefficient。
In a specific embodiment of the present invention, the risk coefficient of each monitoring line section corresponding to the power transmission line layer is analyzed, and a specific analysis process is as follows: and E1, locating the height of the lowest point corresponding to each power transmission line of each height layer and the horizontal distance between each power transmission line from the image of each monitoring line section.
E2, comparing the horizontal distance between the power lines of each height layer of each monitoring line section with the safe horizontal distance interval of the power lines stored in the cloud database, counting the number of the power lines of each monitoring line section positioned in the safe horizontal distance interval, and recording as。
E3, calculating the distance risk coefficient of the corresponding power transmission line of each monitoring line section，/>Wherein->Representing the number of abnormal power lines for which reference is set, +.>Representing the set pitch risk assessment correction factor of the transmission line.
E4, calculating the loose coincidence degree of the corresponding power lines of each monitoring line section according to the height of the corresponding lowest point of each power line of each height layer of each monitoring line section。
In the specific embodiment of the invention, the relaxation coincidence degree of the corresponding power transmission line of each monitoring line section is calculated, and a specific calculation formula is as follows: f1, each power line of each height layer of each monitoring line section is corresponding to the lowestThe height of the dot is noted asWherein->Number indicating height layer, ++>，/>Representing the number of the transmission line, ">。
F2, extracting initial minimum height of each power transmission line in each height layer corresponding to each monitoring line section from the cloud database, and recording as。
F3, calculating the loose coincidence degree of the corresponding power transmission line of each monitoring line section，/>Wherein->The lowest height deviation of the set reference is indicated.
E5, calculating risk coefficients of power transmission line layers corresponding to all monitoring line sections，/>Wherein->And->Respectively representing the relaxation compliance and the spacing risk factor of the set reference, +.>And->And respectively representing the set loose compliance and the risk evaluation duty ratio weight of the risk evaluation corresponding to the power transmission line level.
The cloud database is used for storing standard images of the stay wire hardware fittings and standard vertex coordinates of the stay wire hardware fittings of each monitoring line section, storing standard fastening heights of single connecting bolts, storing initial minimum heights of all power transmission lines in each height layer corresponding to each monitoring line section, and storing safe horizontal interval sections of the power transmission lines.
The power grid operation risk analysis module is used for analyzing operation risk coefficients of all monitoring line sections。
In a specific embodiment of the present invention, a calculation formula of the running risk coefficient of each monitoring line section is:wherein->And->And respectively representing the set corresponding operation risk assessment duty ratio weights of the stay wire hardware fitting layer, the spacer layer and the power transmission line layer.
And the power grid operation risk feedback terminal is used for extracting the number of a monitoring line section and feeding back when the operation risk coefficient of the monitoring line section is greater than or equal to a set value.
According to the embodiment of the invention, the operation risk analysis of the power transmission line of the power tower is performed through the stay wire fitting layer, the spacer layer and the power transmission line layer, and feedback is performed, so that the limitation existing in the current operation risk monitoring management mode is effectively solved, the multidimensional analysis of the operation risk of the power transmission line of the power tower is realized, the problems of long time consuming period, complicated investigation process and the like in the periodic investigation risk analysis mode of maintenance personnel are effectively solved, the error of risk monitoring evaluation is reduced, the rationality and the accuracy of a risk analysis result are ensured, the operation safety of a subsequent power grid is ensured, the coverage rate of risk investigation of cable parts is ensured, and the representativeness of the risk investigation result of the cable parts is improved.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.

Claims (1)

1. A power grid operational risk monitoring management system, comprising:
the power transmission line information acquisition module is used for dividing a target power transmission line into monitoring line sections according to the positions of towers, numbering the monitoring line sections, acquiring images of the monitoring line sections, and acquiring the vertex coordinates of the stay wire fittings through GPS sensors arranged at the vertices of the stay wire fittings of the monitoring line sections;
the power line stay wire fitting monitoring and analyzing module is used for analyzing risk coefficients of the corresponding stay wire fitting layers of all the monitoring line sections according to the images of all the monitoring line sections and the vertex coordinates of all the stay wire fittingsWherein->The number representing the segment of the monitoring line,；
the power line spacer monitoring and analyzing module is used for analyzing risk coefficients of spacer layers corresponding to the monitoring line sections according to the images of the monitoring line sections；
The power transmission line monitoring and analyzing module is used for analyzing risk coefficients of transmission line layers corresponding to all monitoring line sections according to the images of all the monitoring line sections；
The cloud database is used for storing standard images of the stay wire hardware fittings and standard vertex coordinates of the stay wire hardware fittings of each monitoring line section, storing standard fastening heights of single connecting bolts, storing initial minimum heights of each power transmission line in each height layer corresponding to each monitoring line section, and storing a safe horizontal interval section of the power transmission line;
the power grid operation risk analysis module is used for analyzing operation risk coefficients of all monitoring line sections；
The power grid operation risk feedback terminal is used for extracting the number of a monitoring line section and feeding back when the operation risk coefficient of the monitoring line section is greater than or equal to a set value;
the risk coefficient of each monitoring line section corresponding to the stay wire hardware level is analyzed, and the specific analysis process is as follows:
a1, extracting a standard image of the stay wire fitting from a cloud database, positioning a center point of the stay wire fitting from the standard image, taking the center point as a base point as a center line, taking a plane of a cable support contacted with the vertex of the stay wire fitting as a reference plane, obtaining an included angle between the center line of the stay wire fitting and the reference plane, and recording the included angle as a reference included angle；
A2, determining from the images of the monitoring line sectionsThe image of each stay wire fitting is positioned, and the actual included angle of each stay wire fitting of each monitoring line section is analyzed in the same way according to the analysis mode of the reference included angle and is recorded asWherein->The number of the wire drawing hardware fitting is represented,；
a3, calculating the offset coefficient of the horizontal direction of the stay wire fitting corresponding to each monitoring line section，/>Wherein->Indicating the total deviation angle of the set reference, +.>Representing natural constants;
a4, calculating the offset coefficient of the vertical direction of the stay wire fitting corresponding to each monitoring line section according to the vertex coordinates of each stay wire fitting of each monitoring line section；
A5, locating the outline volume of each stay wire fitting from the image of each stay wire fitting of each monitoring line section, and calculating the deformation degree of the corresponding stay wire fitting of each monitoring line section according to the outline volume；
A6, calculating risk coefficients of the stay wire hardware fitting layers corresponding to the monitoring line sections，/>；
Wherein,and->Respectively representing the offset coefficient of the horizontal direction, the offset coefficient of the vertical direction and the deformability of the set reference +.>、/>And->Risk assessment duty ratio weights of corresponding stay wire hardware level of set horizontal direction deviation, vertical direction deviation and deformation degree assessment are respectively represented, and +.>Representing a risk assessment correction factor of the stay wire hardware level;
the deformation degree of the corresponding stay wire fitting of each monitoring line section is calculated, and the specific calculation process is as follows: g1, locating the standard contour volume of the stay wire fitting from the standard image of the stay wire fitting, and marking as；
G2, overlapping and comparing the contour volume of each stay wire fitting of each monitoring line section with the standard contour volume of the stay wire fitting to obtain the overlapping contour volume of each stay wire fitting of each monitoring line section, which is recorded as；
G3, calculating the deformation degree of the stay wire fitting corresponding to each monitoring line section，/>Wherein->Indicating the overlapping volume ratio of the set reference;
the calculating of the offset coefficient of the vertical direction of the stay wire fitting corresponding to each monitoring line section comprises the following specific calculating processes:
b1, marking the peak positions of the stay wire fittings of each monitoring line section as；
B2, extracting standard vertex coordinates of the stay wire fittings of each monitoring line section from the cloud database, and marking the standard vertex coordinates as；
B3, calculating the offset coefficient of the vertical direction of the stay wire fitting corresponding to each monitoring line section，/>Wherein->Representing the vertex distance deviation of the set reference;
the risk coefficient of each monitoring line section corresponding to the spacer layer is analyzed, and the specific analysis process is as follows:
c1, locating corrosion of the surfaces of the spacers from the images of the sections of the monitoring linesThe number of the positions and the corresponding corrosion area of each corrosion position, thereby calculating the surface corrosion degree of each spacer of each monitoring line sectionWherein->The number of the spacer is indicated,；
c2, locating the fastening height of each connecting bolt of each spacer from the image of each monitoring line section, and marking asWhereinNumber indicating connecting bolt->；
C3, extracting standard fastening height of single connecting bolt from cloud database, and recording as；
C4, arranging each monitoring point on the top surface of the nut of each connecting bolt of each spacer rod of each monitoring line section, extracting the vertical distance between each monitoring point and the corresponding connecting bolt screwing plane, recording the vertical distance as the monitoring distance of each monitoring point, and setting the fastening influence factor of each spacer rod of each monitoring line section；
C5, calculating the tightness of the connecting bolts in the spacers corresponding to each monitoring line section，/>Wherein->The fastening height deviation of the connecting bolt for setting reference is shown;
c6, calculating risk coefficients of each spacer of each monitoring line section；
C7, if the risk coefficient of a certain spacer of a certain monitoring line section is greater than or equal to a set value, judging the spacer as an abnormal spacer, counting the number of abnormal spacers of each monitoring line section, and marking as；
C8, extracting the maximum risk coefficient from the risk coefficients of the spacers of each monitoring line section, and marking as；
C9, calculating risk coefficients of the corresponding spacer layers of the monitoring line sections，/>Wherein->Andthe number of abnormal spacers and the risk factor of the spacers are respectively shown as the set reference +.>And->The risk evaluation corresponding to the spacer layer is represented by the set abnormal spacer number ratio and the risk evaluation corresponding to the spacer layer, respectively, < ->Representing the number of spacers;
the surface rust degree of each spacer of each monitoring line section is calculated, and the specific calculation process is as follows: h1, respectively recording the number of rusted positions on the surfaces of each spacer rod of each monitoring line section and the corresponding rusted area of each rusted position asAnd->，/>Number indicating rust position->；
H2, calculating the surface rust degree of each spacer of each monitoring line section，/>Wherein->And->Respectively indicating the number of rust positions and rust area of the set reference, +.>And->Respectively representing the set number of rusted positions and the surface rusting degree evaluation duty ratio weight of the spacer corresponding to the rusting area;
the fastening influence factors of the spacers of each monitoring line section are set, and the specific setting process is as follows:
d1, extracting the maximum monitoring distance from the monitoring distances of the monitoring points in the spacers corresponding to the monitoring line sections, and marking the maximum monitoring distance as；
D2, carrying out mutual difference on the monitoring distances of the monitoring points in the spacers corresponding to the monitoring line sections to obtain monitoring distance deviation among the monitoring points, extracting the maximum monitoring distance deviation from the monitoring distance deviation, and recording the maximum monitoring distance deviation as；
D3, calculating the fastening influence factors of the spacers of the monitoring line sections，/>Wherein->Indicating the set monitoring distance->Indicating the deviation of the monitoring distance of the set reference +.>And->Respectively represent the set monitoring distanceEvaluating the duty ratio weight corresponding to the fastening influence of the deviation of the distance from the monitoring distance;
the calculation formula of the risk coefficient of each spacer of each monitoring line section is as follows:wherein->And->Respectively indicating the surface rust degree and the tightness of the set reference, +.>And->Respectively representing risk assessment duty ratio weights of the set spacer corresponding to the surface rust and tightness assessment;
the risk coefficient of each monitoring line section corresponding to the power transmission line layer is analyzed, and the specific analysis process is as follows:
e1, locating the height of the lowest point corresponding to each power transmission line of each height layer and the horizontal distance between each power transmission line from the image of each monitoring line section;
e2, comparing the horizontal distance between the power lines of each height layer of each monitoring line section with the safe horizontal distance interval of the power lines stored in the cloud database, counting the number of the power lines of each monitoring line section positioned in the safe horizontal distance interval, and recording as；
E3, calculating the distance risk coefficient of the corresponding power transmission line of each monitoring line section，/>Wherein->Representing the number of abnormal power lines for which reference is set, +.>Representing a set pitch risk assessment correction factor of the transmission line;
e4, calculating the loose coincidence degree of the corresponding power lines of each monitoring line section according to the height of the corresponding lowest point of each power line of each height layer of each monitoring line section；
E5, calculating risk coefficients of power transmission line layers corresponding to all monitoring line sections，/>Wherein->And->Respectively representing the relaxation compliance and the spacing risk factor of the set reference, +.>And->Respectively representing the set relaxation conformity and the risk evaluation of the interval and the risk evaluation duty ratio weight of the corresponding power transmission line layer;
the loose coincidence degree of the corresponding power transmission line of each monitoring line section is calculated, and a specific calculation formula is as follows:
f1, transmitting power to each level of each monitoring line sectionThe height of the line corresponding to the lowest point is recorded asWherein->Number indicating height layer, ++>，/>Representing the number of the transmission line, ">；
F2, extracting initial minimum height of each power transmission line in each height layer corresponding to each monitoring line section from the cloud database, and recording as；
F3, calculating the loose coincidence degree of the corresponding power transmission line of each monitoring line section，/>Wherein->Representing the lowest height deviation of the set reference;
the calculation formula of the operation risk coefficient of each monitoring line section is as follows:wherein->And->And respectively representing the set corresponding operation risk assessment duty ratio weights of the stay wire hardware fitting layer, the spacer layer and the power transmission line layer.
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