CN108399503A - A kind of overhead transmission line bird pest fault early warning method - Google Patents
A kind of overhead transmission line bird pest fault early warning method Download PDFInfo
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Abstract
This application involves field of power more particularly to a kind of overhead transmission line bird pest fault early warning methods, include the following steps：Establish bird pest grade evaluation number hierarchical chart；According to the geographical feature of bird pest tripping fault and tower structure feature, each index value is determined；The weight coefficient for determining each index establishes bird pest grade Early-warning Model；Divide bird pest grade.By history bird pest fault data, based on the geographical feature of bird pest tripping fault and tower structure feature, bird trouble on transmission line grade evaluation number hierarchical chart is established.The comprehensive evaluation being combined using expert survey and analytic hierarchy process (AHP) determines the weight coefficient of each index, establishes bird pest grade Early-warning Model.Early warning is made to each shaft tower bird pest tripping fault using this method, power department can be instructed to carry out difference chemoprevention bird for the shaft tower of different bird pest grades and administered, prevent electric system massive blackout accident, be of great significance to the safe and stable operation of transmission line of electricity.
Description
Technical Field
The application relates to the field of power systems, in particular to a bird damage fault early warning method for an overhead transmission line.
Background
In recent years, as the awareness of human beings on the protection of natural ecological environment is increased, the number of birds to be bred is gradually increased, and the birds frequently move. The trip fault of the power transmission line caused by bird damage increases year by year, and becomes one of the major hidden dangers influencing the safety and stability of the power transmission line. Therefore, how to effectively prevent the damage of bird damage to the power system becomes the key point of the research of the power department in China.
At present, people give early warning to the bird trouble tripping fault through a bird trouble fault risk distribution diagram drawing system, and the method comprises the following steps: collecting basic data; carrying out statistical analysis on basic data; drawing a green map, drawing a migratory bird migration channel map and drawing a bird damage fault distribution map; establishing a bird resource distribution database, and collecting information of statistical analysis basic data, green map drawing, migratory bird migration channel map drawing and bird damage fault distribution map drawing in the database; drawing a bird trouble fault risk distribution map according to the information collected in the database; modifying the bird trouble risk distribution map according to the drawn bird trouble risk distribution map and by combining with historical fault information; according to the bird trouble fault risk distribution diagram, the bird trouble fault risk grade of the overhead transmission line is divided into: the system comprises four grades of a very light bird damage area, a medium bird damage area and a heavy bird damage area; and judging the bird damage fault risk according to the four risk grades, and displaying the result.
However, the existing bird trouble fault early warning method only gives the grade of the bird trouble fault risk, and cannot calculate the specific numerical value of the bird trouble trip fault risk of each base pole tower, so that the obtained result is not accurate enough. Therefore, a power transmission line bird trouble fault early warning method capable of preparing specific numerical values for calculating the bird trouble trip fault risks of each base mast tower is urgently needed.
Disclosure of Invention
The application provides an overhead transmission line bird trouble fault early warning method which can calculate specific numerical values of bird trouble tripping fault risks of all base rod towers, and the obtained result is more accurate.
The application provides an overhead transmission line bird trouble fault early warning method, which comprises the following steps:
s1, establishing a bird damage grade evaluation index hierarchical structure chart;
s2, determining each index value according to the geographic characteristics of the bird trouble tripping faults and the tower structure characteristics;
s3, determining the weight coefficient of each index, and establishing a bird damage level early warning model;
s4 ranks bird damage.
Optionally, in the first step, a bird damage level evaluation index hierarchical structure diagram is established according to the level 1 index and the level 2 index of the bird damage trip fault; wherein,
the level 1 indexes are geographical features and tower structure features, and are respectively represented by m and n; each level 1 index is divided into level 2 indexes; the 2-level indexes of the geographic characteristics comprise forest, farmland, river, lake and pond, which are respectively m1、m2、m3、m4And m5To represent; the 2-level indexes of the tower structure characteristics comprise voltage levels and tower types which are respectively represented by v and t.
Optionally, in the second step, the method for determining each index value according to the geographic feature includes: counting the distances between the tower and the surrounding forest, farmland, river, lake and pond, respectively using l1、l2、l3、l4And l5Represents; taking the actual distance between the tower and each geographic index as an abscissa, taking the distance index value as an ordinate, and obtaining a forest area index m by utilizing matlab curve fitting1And a distance l1The relation, the expression is:
m1＝-2.99*10-8l1 3+2.86*10-5l1 2-9.17*10-3l1+1.03 (1)
in order to keep the consistency of the data, the forest region indexes are normalized to obtain m1And a distance l1The relation of (A) is as follows:
m1＝-2.90*10-8l1 3+2.78*10-5l1 2-8.90*10-3l1+1 (2)
obtaining expression m of farmland, river, lake and pond according to the same method2、m3、m4And m5。
m2＝-6.63*10-9l2 3+9.91*10-6l2 2-5.07*10-3l2+1 (3)
m4＝1.57*10-9l4 3-2.23*10-6l4 2-7.80*10-4l4+1 (5)
m5＝4.06*10-10l5 3-4.35*10-7l5 2-8.82*10-4l5+1 (6)
Optionally, in the second step, the method for determining each index value according to the tower structure characteristics includes: the weight coefficients of the voltage class v and the tower type t are respectively expressed as wvAnd wtLet wv＝wt0.5; counting historical bird trouble trip fault data, calculating characteristic specific gravity vectors of 110kV, 220kV and 500kV tower voltage levels, expressing the characteristic specific gravity vectors by V, normalizing the V to obtain final characteristic specific gravity vectors serving as tower voltage level parameter values and recording the final characteristic specific gravity vectors as V*(ii) a Counting the characteristic specific gravity vectors of the linear tower and the strain tower, expressing the characteristic specific gravity vectors by T, normalizing the T to obtain the final characteristic specific gravity vector as a tower type parameter value, and recording the final characteristic specific gravity vector as T*。
Optionally, in the third step, a weight coefficient of the level 1 index is determined by using an expert survey method, and a level 2 weight coefficient under the geographic features of the level 1 index is determined by using a comprehensive integration weighting method based on an analytic hierarchy process; m is to be1、m2、m3、m4And m5The proportion of the number of times closest to the tower in all bird damage tripping faults is used as the importance degree of the number of times in relation to the 1-level index geographic features, a judgment matrix is constructed according to the data obtained by calculation, and then m is obtained1、m2、m3、m4And m5Corresponding weight coefficient vector (m)1、m2、m3、m4、m5、v*、t*) Combining the obtained index weight coefficients, and applying a linear comprehensive weighting method to obtain a bird damage level index model as follows:
wherein, wmWeight coefficient, w, for a geographical featurem1Is an index m of forest area1Corresponding weight coefficient, wm2Is a farmland index m2Corresponding weight coefficient, wm3Is a river index m3Corresponding weight coefficient, wm4Index m for lake4Corresponding weight coefficient, wm5Is an index m of the pond5Corresponding weight coefficient, wnWeight coefficient, w, of structural features of the towervIs a weight coefficient, w, of the voltage level vtAnd the weight coefficient is the weight coefficient of the tower type t.
Optionally, in the fourth step, the bird damage is classified into four grades of 0, 1, 2 and 3 according to the intervals of [0, 0.1], (0.1, 0.25], (0.25, 0.45] and (0.45, 1], wherein,
the level 0 is a light bird damage level, the towers in the level hardly have bird damage tripping faults, and only a small amount of bird damage prevention devices are required to be installed, even some towers do not need to be provided with bird damage prevention devices;
the level 1 is a medium bird damage level, the pole tower of the level has a certain probability of generating a bird damage tripping fault, and the probability of generating the bird damage tripping fault after the bird damage prevention device is installed conventionally is very low;
the level 2 is a heavy bird damage level, the tower is easy to have a bird damage trip fault, a part of bird damage prevention devices with good effect need to be installed, and real-time monitoring and early warning are carried out on the bird damage tower of the level;
the 3-level pole tower is in a very heavy bird damage level, a bird damage tripping fault is very easy to happen to the bird damage level pole tower, a bird damage prevention device with a good current effect is installed, and real-time monitoring and early warning are conducted on the level pole tower.
According to the technical scheme, the bird damage fault early warning method for the overhead transmission line is provided, and a bird damage grade evaluation index hierarchical structure diagram of the transmission line is established according to the geographical characteristics and the tower structure characteristics of the bird damage trip fault by collecting historical data of the bird damage trip fault in the last three years of the Yunnan power grid. And determining the weight coefficient of each index by adopting a comprehensive evaluation method combining an expert survey method and an analytic hierarchy process, establishing a bird damage grade early warning model of the power transmission line, and providing a bird damage grade division method. By using the method, the specific numerical value of the bird damage trip fault risk of each base rod tower can be calculated, and the obtained result is more accurate. On the basis, the bird trouble tripping fault of each tower is early warned, so that an electric power department can be guided to carry out differential bird prevention treatment on towers with different bird trouble grades, the large-scale power failure accident of an electric power system is prevented, and the method has important significance for safe and stable operation of a power transmission line.
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In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a schematic flow chart of a bird damage fault early warning method for an overhead transmission line according to the present application;
fig. 2 is a hierarchical structure diagram of bird damage level evaluation indexes provided in an embodiment of the present application;
FIG. 3 is a forest zone index m provided in the embodiment of the present application1And a distance l1A structural relationship curve graph;
fig. 4 is a schematic diagram of the distribution of geographic features around 110kV xielian gold wire No. 14 tower provided in the embodiment of the present application.
Detailed Description
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Referring to fig. 1, a flow diagram of an early warning method for bird damage faults of an overhead transmission line is provided in the present application.
The application provides an overhead transmission line bird trouble fault early warning method, which comprises the following steps:
s1, establishing a bird damage grade evaluation index hierarchical structure chart;
s2, determining each index value according to the geographic characteristics of the bird trouble tripping faults and the tower structure characteristics;
s3, determining the weight coefficient of each index, and establishing a bird damage level early warning model;
s4 ranks bird damage.
According to the method, historical data of bird damage trip faults in three years from 2014 to 2016 of Yunnan power grids are collected, a hierarchical structure diagram of bird damage grade evaluation indexes of the power transmission line is established on the basis of geographic characteristics and tower structure characteristics of the bird damage trip faults, a comprehensive evaluation method combining an expert survey method and an analytic hierarchy process is adopted to determine weight coefficients of indexes, a bird damage grade early warning model of the power transmission line is established, and a bird damage grade division method is provided.
Referring to fig. 2, a hierarchical structure diagram of bird damage level evaluation indexes provided in the embodiments of the present application is shown.
Optionally, in the first step, a bird damage level evaluation index hierarchical structure diagram is established according to the level 1 index and the level 2 index of the bird damage trip fault; wherein the level 1 indexes are geographical features and tower structure features, and are respectively represented by m and n; each timeA level 1 index is divided into level 2 indexes according to the condition of the level 1 index; the 2-level indexes of the geographic characteristics comprise forest, farmland, river, lake and pond, which are respectively m1、m2、m3、m4And m5To represent; the 2-level indexes of the tower structure characteristics comprise voltage levels and tower types which are respectively represented by v and t.
Referring to fig. 3, the present application provides an example forest zone index m1And a distance l1Graph of structural relationship.
Optionally, in the second step, the method for determining each index value according to the geographic feature includes: the distance between the tower and the surrounding forest area, farmland, river, lake and pond is obtained by statistics of a geographic information system Arcgis, and l is used for calculating the distance between the tower and the surrounding forest area, farmland, river, lake and pond1、l2、l3、l4And l5Represents; and obtaining the relation between the probability and the distance of the bird damage fault through curve fitting according to the historical bird damage fault. The analysis of the geographical features of the tower with the bird trouble fault shows that the closer the distance between the tower and each geographical feature index is, the higher the possibility that the tower has the bird trouble trip fault is, the larger the distance index value of the corresponding geographical feature is, that is, the relationship between each geographical feature index and the distance is monotonically decreased. During actual fitting, the actual distance between the tower and each geographic index is used as an abscissa, the distance index value is used as an ordinate, and the matlab curve fitting is utilized to obtain a forest region index m1And a distance l1The relationship, its expression is:
m1＝-2.99*10-8l1 3+2.86*10-5l1 2-9.17*10-3l1+1.03 (1)
in order to keep the consistency of the data, the forest region indexes are normalized to obtain m1And a distance l1The relation of (A) is as follows:
m1＝-2.90*10-8l1 3+2.78*10-5l1 2-8.90*10-3l1+1 (2)
obtaining expression m of farmland, river, lake and pond according to the same method2、m3、m4And m5。
m2＝-6.63*10-9l2 3+9.91*10-6l2 2-5.07*10-3l2+1 (3)
m4＝1.57*10-9l4 3-2.23*10-6l4 2-7.80*10-4l4+1 (5)
m5＝4.06*10-10l5 3-4.35*10-7l5 2-8.82*10-4l5+1 (6)
Optionally, in the second step, the method for determining each index value according to the tower structure characteristics includes: the weight coefficients of the voltage class v and the tower type t are respectively expressed as wvAnd wtLet wv＝wt0.5; counting historical bird trouble trip fault data, calculating characteristic specific gravity vectors of 110kV, 220kV and 500kV tower voltage levels, expressing the characteristic specific gravity vectors by V, normalizing the V to obtain final characteristic specific gravity vectors serving as tower voltage level parameter values and recording the final characteristic specific gravity vectors as V*(ii) a Counting the characteristic specific gravity vectors of the linear tower and the strain tower, expressing the characteristic specific gravity vectors by T, normalizing the T to obtain the final characteristic specific gravity vector as a tower type parameter value, and recording the final characteristic specific gravity vector as T*。
Optionally, in the third step, a weight coefficient of the level 1 index is determined by using an expert survey method, and a level 2 weight coefficient under the geographic features of the level 1 index is determined by using a comprehensive integration weighting method based on an analytic hierarchy process; m is to be1、m2、m3、m4And m5The proportion of the number of times closest to the tower in all bird damage tripping faults is used as the importance degree of the number of times in relation to the 1-level index geographic features, a judgment matrix is constructed according to the data obtained by calculation, and then m is obtained1、m2、m3、m4And m5Corresponding weight coefficient vector (m)1、m2、m3、m4、m5、v*、t*) Combining the obtained index weight coefficients, and applying a linear comprehensive weighting method to obtain a bird damage level index model as follows:
wherein, wmWeight coefficient, w, for a geographical featurem1Is an index m of forest area1Corresponding weight coefficient, wm2Is a farmland index m2Corresponding weight coefficient, wm3Is a river index m3Corresponding weight coefficient, wm4Index m for lake4Corresponding weight coefficient, wm5Is an index m of the pond5Corresponding weight coefficient, wnWeight coefficient, w, of structural features of the towervIs a weight coefficient, w, of the voltage level vtAnd the weight coefficient is the weight coefficient of the tower type t.
According to the method, a comprehensive evaluation method combining an expert survey method and an analytic hierarchy process is adopted to determine the weight coefficient of each index, and a bird damage grade early warning model is established. Determination of the weighting coefficient of the 1-level evaluation index: the 2 indexes of the 1-level evaluation index geographic characteristic and the tower structure characteristic are strong in independence and difficult to link, the weights of the two indexes cannot be determined by a quantitative analysis method, and the conclusion that the weight coefficient of the geographic characteristic is higher than that of the tower structure characteristic can be obtained only according to years of operation experience of the power system. Therefore, the application adopts an expert investigation method to determine the weight coefficient of the grade 1 index. By consulting 10 experts with abundant operation experience in a plurality of direct power supply units of the Yunnan power grid, the value of the 1-level index weight coefficient provided by each expert by virtue of the abundant experience of the expert is obtained.
Determination of the 2-level evaluation index weight coefficient: analytic Hierarchy Process (AHP) is a mathematical method that combines qualitative and quantitative analysis. The method aims at the layer-by-layer decomposition of the target, compares every two factors of the same layer to obtain the importance of the factors to the same factor of the previous layer, and finally obtains the weight of each factor of the bottommost layer to the target of the highest layer, thereby realizing the decision of the problem.
The method adopts a comprehensive integrated weighting method based on an analytic hierarchy process to determine the weight of the 2-level index under the geographic characteristic of the 1-level index. M is to be1、m2、m3、m4And m5The proportion of the number of times closest to the tower in all bird damage tripping faults is used as the importance degree of the number of times in relation to the 1-level index geographic features, a judgment matrix is constructed according to the data obtained by calculation, and then m is obtained1、m2、m3、m4And m5The corresponding weight coefficient vector. And (4) obtaining a bird damage grade index model by combining the obtained index weight coefficients and applying a linear comprehensive weighting method through the bird damage fault evaluation index vector of the power transmission line.
Optionally, in the fourth step, the bird damage is classified into four grades of 0, 1, 2 and 3 according to the intervals of [0, 0.1], (0.1, 0.25], (0.25, 0.45] and (0.45, 1], wherein,
the level 0 is a light bird damage level, the towers in the level hardly have bird damage tripping faults, and only a small amount of bird damage prevention devices are required to be installed, even some towers do not need to be provided with bird damage prevention devices;
the level 1 is a medium bird damage level, the pole tower of the level has a certain probability of generating a bird damage tripping fault, and the probability of generating the bird damage tripping fault after the bird damage prevention device is installed conventionally is very low;
the level 2 is a heavy bird damage level, the tower is easy to have a bird damage trip fault, a part of bird damage prevention devices with good effect need to be installed, and real-time monitoring and early warning are carried out on the bird damage tower of the level;
the 3-level pole tower is in a very heavy bird damage level, a bird damage tripping fault is very easy to happen to the bird damage level pole tower, a bird damage prevention device with a good current effect is installed, and real-time monitoring and early warning are conducted on the level pole tower.
Referring to fig. 4, a schematic diagram of the distribution of geographic features around the 110kV xielian gold wire 14 tower provided in the embodiment of the present application.
Known by three-year bird damage trip fault records of the Yunnan power grid, the bird damage trip fault occurs on tower No. 14 of 110kV Xiyanglong gold thread in 9 months 2014, tower equipment account records are searched to know that the tower is a tension tower, and the position of the tower in a Google satellite map is shown in figure 4. As can be seen from FIG. 4, the distance between the tower and the nearest forest area around the tower is 40 meters, the distance between the farmland is 88 meters, the distance between the lake is 522 meters, and m is calculated by substituting into a formula1＝0.6866，m2＝0.6261，m30.2085. Because the tower is far away from rivers and lakes, m3＝m50. The pole tower v is calculated to be 0.4886, t is 0.8546, the bird damage level calculation formula is substituted to obtain risk to be 0.6005, the bird damage level of the pole tower is proved to be a very heavy bird damage level, a bird damage trip accident is easy to happen, and the effectiveness of the model is proved.
According to the technical scheme, the bird damage fault early warning method for the overhead transmission line is provided, and a bird damage grade evaluation index hierarchical structure diagram of the transmission line is established according to the geographical characteristics and the tower structure characteristics of the bird damage trip fault by collecting historical data of the bird damage trip fault in the last three years of the Yunnan power grid. And determining the weight coefficient of each index by adopting a comprehensive evaluation method combining an expert survey method and an analytic hierarchy process, establishing a bird damage grade early warning model of the power transmission line, and providing a bird damage grade division method. By using the method, the specific numerical value of the bird damage trip fault risk of each base rod tower can be calculated, and the obtained result is more accurate. On the basis, the bird trouble tripping fault of each tower is early warned, so that an electric power department can be guided to carry out differential bird prevention treatment on towers with different bird trouble grades, the large-scale power failure accident of an electric power system is prevented, and the method has important significance for safe and stable operation of a power transmission line.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be understood that the present application is not limited to what has been described above and shown in the accompanying drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (6)
1. The bird damage fault early warning method for the overhead transmission line is characterized by comprising the following steps of:
s1, establishing a bird damage grade evaluation index hierarchical structure chart;
s2, determining each index value according to the geographic characteristics of the bird trouble tripping faults and the tower structure characteristics;
s3, determining the weight coefficient of each index, and establishing a bird damage level early warning model;
s4 ranks bird damage.
2. The bird trouble fault early warning method for the overhead transmission line according to claim 1, characterized in that in the first step, a bird trouble grade evaluation index hierarchical structure diagram is established according to a grade 1 index and a grade 2 index of a bird trouble trip fault; wherein,
the level 1 indexes are geographical features and tower structure features, and are respectively represented by m and n; each level 1 index is divided into level 2 indexes; the 2-level indexes of the geographic characteristics comprise forest, farmland, river, lake and pond, which are respectively m1、m2、m3、m4And m5To represent; the 2-level indexes of the tower structure characteristics comprise voltage levels and tower types which are respectively represented by v and t.
3. The overhead transmission line bird damage fault early warning method of claim 2, wherein in the second step, the method for determining each index value according to the geographic features comprises the following steps: counting the distances between the tower and the surrounding forest, farmland, river, lake and pond, respectively using l1、l2、l3、l4And l5Represents; taking the actual distance between the tower and each geographic index as an abscissa, taking the distance index value as an ordinate, and obtaining a forest area index m by utilizing matlab curve fitting1And a distance l1The relation, the expression is:
m1＝-2.99*10-8l1 3+2.86*10-5l1 2-9.17*10-3l1+1.03 (1)
in order to keep the consistency of the data, the forest region indexes are normalized to obtain m1And a distance l1The relation of (A) is as follows:
m1＝-2.90*10-8l1 3+2.78*10-5l1 2-8.90*10-3l1+1 (2)
obtaining expression m of farmland, river, lake and pond according to the same method2、m3、m4And m5。
m2＝-6.63*10-9l2 3+9.91*10-6l2 2-5.07*10-3l2+1 (3)
m4＝1.57*10-9l4 3-2.23*10-6l4 2-7.80*10-4l4+1 (5)
m5＝4.06*10-10l5 3-4.35*10-7l5 2-8.82*10-4l5+1 (6)。
4. The bird damage fault early warning method for the overhead transmission line according to claim 2, wherein in the second step, the method for determining the numerical values of the indexes according to the tower structure characteristics comprises the following steps: the weight coefficients of the voltage class v and the tower type t are respectively expressed as wvAnd wtLet wv＝wt0.5; counting historical bird trouble trip fault data, calculating characteristic specific gravity vectors of 110kV, 220kV and 500kV tower voltage levels, expressing the characteristic specific gravity vectors by V, normalizing the V to obtain final characteristic specific gravity vectors serving as tower voltage level parameter values and recording the final characteristic specific gravity vectors as V*(ii) a Counting the characteristic specific gravity vectors of the linear tower and the strain tower, expressing the characteristic specific gravity vectors by T, normalizing the T to obtain the final characteristic specific gravity vector as a tower type parameter value, and recording the final characteristic specific gravity vector as T*。
5. The bird damage fault early warning method for the overhead transmission line according to any one of claims 3 or 4, characterized in that in the third step, an expert survey method is adopted to determine the weight coefficient of the 1-level index, and a comprehensive integrated weighting method based on an analytic hierarchy process is adopted to determine the 2-level weight coefficient under the geographic characteristic of the 1-level index; m is to be1、m2、m3、m4And m5And rodThe proportion of the times of the tower distance being closest to all bird damage tripping faults is used as the importance degree of the times of the tower distance being closest to all the bird damage tripping faults relative to the geographical features of the 1-level index, a judgment matrix is constructed according to the data obtained by calculation, and then m is obtained1、m2、m3、m4And m5Corresponding weight coefficient vector (m)1、m2、m3、m4、m5、v*、t*) Combining the obtained index weight coefficients, and applying a linear comprehensive weighting method to obtain a bird damage level index model as follows:
wherein, wmWeight coefficient, w, for a geographical featurem1Is an index m of forest area1Corresponding weight coefficient, wm2Is a farmland index m2Corresponding weight coefficient, wm3Is a river index m3Corresponding weight coefficient, wm4Index m for lake4Corresponding weight coefficient, wm5Is an index m of the pond5Corresponding weight coefficient, wnWeight coefficient, w, of structural features of the towervIs a weight coefficient, w, of the voltage level vtAnd the weight coefficient is the weight coefficient of the tower type t.
6. The bird damage fault pre-warning method of the overhead transmission line of claim 1, wherein in the fourth step, bird damage is classified into four classes of 0, 1, 2 and 3 by intervals [0, 0.1], (0.1, 0.25], (0.25, 0.45] and (0.45, 1], wherein,
the level 0 is a light bird damage level, the towers in the level hardly have bird damage tripping faults, and only a small amount of bird damage prevention devices are required to be installed, even some towers do not need to be provided with bird damage prevention devices;
the level 1 is a medium bird damage level, the pole tower of the level has a certain probability of generating a bird damage tripping fault, and the probability of generating the bird damage tripping fault after the bird damage prevention device is installed conventionally is very low;
the level 2 is a heavy bird damage level, the tower is easy to have a bird damage trip fault, a part of bird damage prevention devices with good effect need to be installed, and real-time monitoring and early warning are carried out on the bird damage tower of the level;
the 3-level pole tower is in a very heavy bird damage level, a bird damage tripping fault is very easy to happen to the bird damage level pole tower, a bird damage prevention device with a good current effect is installed, and real-time monitoring and early warning are conducted on the level pole tower.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109583683A (en) * | 2018-10-15 | 2019-04-05 | 广东工业大学 | A kind of efficiency evaluation method of bird trouble on transmission line protective device |
| CN110378549A (en) * | 2019-05-31 | 2019-10-25 | 广东工业大学 | A kind of transmission tower bird pest grade appraisal procedure based on FAHP- entropy assessment |
| CN112070406A (en) * | 2020-09-11 | 2020-12-11 | 国网北京市电力公司 | Equipment risk processing method and device for power transmission equipment and electronic device |
| CN113267710A (en) * | 2021-06-29 | 2021-08-17 | 广东电网有限责任公司 | Power transmission line bird damage monitoring method, device, equipment and storage medium |
| CN113889951A (en) * | 2020-09-17 | 2022-01-04 | 广东电网有限责任公司广州供电局 | Bird damage defense information system for overhead transmission line |
| CN114090679A (en) * | 2020-09-17 | 2022-02-25 | 广东电网有限责任公司广州供电局 | Intelligent drawing system for bird damage hidden danger distribution map of power transmission line |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101662134A (en) * | 2009-03-12 | 2010-03-03 | 福建省厦门电业局 | High-voltage transmission overhead line bird damage prevention device |
| CN107239651A (en) * | 2017-04-17 | 2017-10-10 | 国网辽宁省电力有限公司电力科学研究院 | A kind of method that power network birds droppings class failure risk grade is assessed |
-
2018
- 2018-03-08 CN CN201810189088.4A patent/CN108399503A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101662134A (en) * | 2009-03-12 | 2010-03-03 | 福建省厦门电业局 | High-voltage transmission overhead line bird damage prevention device |
| CN107239651A (en) * | 2017-04-17 | 2017-10-10 | 国网辽宁省电力有限公司电力科学研究院 | A kind of method that power network birds droppings class failure risk grade is assessed |
Non-Patent Citations (1)
| Title |
|---|
| 陈小志: ""输电线路鸟害预警模型及系统的设计与实现"", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109583683A (en) * | 2018-10-15 | 2019-04-05 | 广东工业大学 | A kind of efficiency evaluation method of bird trouble on transmission line protective device |
| CN109583683B (en) * | 2018-10-15 | 2023-05-02 | 广东工业大学 | Effectiveness evaluation method of bird damage protection device of power transmission line |
| CN110378549A (en) * | 2019-05-31 | 2019-10-25 | 广东工业大学 | A kind of transmission tower bird pest grade appraisal procedure based on FAHP- entropy assessment |
| CN110378549B (en) * | 2019-05-31 | 2023-05-23 | 广东工业大学 | Transmission tower bird damage grade assessment method based on FAHP-entropy weight method |
| CN112070406A (en) * | 2020-09-11 | 2020-12-11 | 国网北京市电力公司 | Equipment risk processing method and device for power transmission equipment and electronic device |
| CN113889951A (en) * | 2020-09-17 | 2022-01-04 | 广东电网有限责任公司广州供电局 | Bird damage defense information system for overhead transmission line |
| CN114090679A (en) * | 2020-09-17 | 2022-02-25 | 广东电网有限责任公司广州供电局 | Intelligent drawing system for bird damage hidden danger distribution map of power transmission line |
| CN113267710A (en) * | 2021-06-29 | 2021-08-17 | 广东电网有限责任公司 | Power transmission line bird damage monitoring method, device, equipment and storage medium |
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