CN117786915B - Long and short leg configuration method and system for realizing intelligent power grid - Google Patents

Long and short leg configuration method and system for realizing intelligent power grid Download PDF

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Publication number
CN117786915B
CN117786915B CN202410211713.6A CN202410211713A CN117786915B CN 117786915 B CN117786915 B CN 117786915B CN 202410211713 A CN202410211713 A CN 202410211713A CN 117786915 B CN117786915 B CN 117786915B
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tower
data
leg
height
outcrop
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CN117786915A (en
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何松洋
韩大刚
刘翔云
何文俊
张如宝
吴怡敏
马海云
余波
李力
梁明
蒲凡
李钟�
龚涛
鄢秀庆
汤欢
谢玉洁
王波
王梦杰
刘洪昌
辜良雨
罗海力
高见
陈强
甘小平
刘畅
王成
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Southwest Electric Power Design Institute Co Ltd of China Power Engineering Consulting Group
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Southwest Electric Power Design Institute Co Ltd of China Power Engineering Consulting Group
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Abstract

The application provides a method and a system for configuring long and short legs of an intelligent power grid, wherein the method comprises the following steps: acquiring electrical arrangement data of a tower position on a line; acquiring measurement data; the method comprises the steps of (1) dividing legs of an iron tower according to corner information in electric arrangement data, wherein a leg dividing principle comprises taking a line advancing direction as an angular bisector forming an included angle with an AC and BD intersecting line, and cutting a topographic map; acquiring iron tower data in an iron tower database; acquiring basic data in a basic database; and carrying out optimal configuration on the configuration of the long and short legs under the limitation of the principle of optimal leg configuration according to the electrical arrangement data, the measurement data, the iron tower data and the basic data, and obtaining the combination of the longest leg joint and the smallest body joint under the current high positioning requirement. The system comprises: an electrical ranking database, a measurement database, an iron tower database, a basic database and a long and short leg configuration number intelligent center. The application can obviously improve the efficiency of the configuration of the long and short legs of the line and has high degree of digital intelligence in the configuration process.

Description

Long and short leg configuration method and system for realizing intelligent power grid
Technical Field
The invention relates to the technical field of intelligent power grid and long and short leg configuration, in particular to a long and short leg configuration method and a long and short leg configuration system for realizing an intelligent power grid.
Background
Along with the development of the digital age, in order to adapt to a more efficient and intelligent development mode, at present, the development trend of the power grid is reflected in pushing the digitization and intelligent transformation of the power grid, improving the operation efficiency and reliability of the power grid, improving the quality of energized business, reducing the burden of a service base layer and assisting the digitization transformation of the traditional power grid business. The smart power grid comprises four large fields of smart systems, smart lines, smart towers and smart foundations, at present, domestic research on the smart systems has achieved a certain result, but the fields of the smart lines, the smart towers and the smart foundations are basically in a blank research state, the three large fields still adopt traditional design, construction and operation and maintenance methods, the flowing and operation efficiency of data is relatively low, and the smart power grid cannot be well adapted to the rapid development of the smart power grid.
The configuration of long and short legs of a circuit is always a core part in circuit design, the method and logic used by the circuit industry about the configuration of the long and short legs are relatively lagged, mostly single-base manual configuration is mostly achieved, the degree of one-key optimization and batch setting cannot be achieved, the degree of digital intelligence and the efficiency are low, and the reliability of configuration results cannot be effectively ensured, so that in order to promote the development of an intelligent power grid, a method capable of rapidly configuring and optimizing the long and short legs is needed, and the construction of the intelligent power grid is promoted while the configuration efficiency is improved.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art.
To this end, the first aspect of the present invention provides a method for implementing a long and short leg configuration of a smart grid.
The second aspect of the invention provides a long and short leg configuration system for realizing a smart power grid.
The invention provides a long and short leg configuration method for realizing an intelligent power grid, which comprises the following steps:
acquiring electrical ranking data of tower positions on a line, wherein the electrical ranking data at least comprises tower type, positioning height and corner information of each tower position;
Acquiring measurement data, wherein the measurement data comprises a topographic map and a section map of each tower position;
dividing legs of the iron tower A, B, C, D according to corner information in the electrical arrangement data, wherein a leg dividing principle comprises taking a line advancing direction as an angular bisector forming an included angle with an AC and BD intersecting line, and cutting a topographic map according to a leg dividing result, wherein a section line obtained by cutting is kept matched with the section map;
Acquiring iron tower data in an iron tower database, wherein the iron tower database comprises iron tower data corresponding to a plurality of iron towers of various towers, and the iron tower data at least comprises tower head height, bottleneck width, distance from the bottleneck to a tower head cross arm, tower body gradient, the number of connecting legs and connecting bodies, the length of the connecting legs and the length difference of the connecting legs of the iron tower;
Obtaining basic data in a basic database, wherein the basic database comprises basic data corresponding to a plurality of foundations in a plurality of foundation types, and the basic data at least comprises the diameter, the length, the concrete engineering quantity, the concrete strength grade, the steel bar engineering quantity and the steel bar strength grade of the foundations;
And carrying out optimal configuration on the configuration of the long and short legs under the limitation of the principle of optimal leg configuration according to the electrical arrangement data, the measurement data, the iron tower data and the basic data, and obtaining the combination of the longest leg joint and the smallest body joint under the current high positioning requirement.
According to the technical scheme, the long and short leg configuration method for realizing the intelligent power grid can also have the following additional technical characteristics:
in the above technical solution, the leg fitting optimization principle includes a first principle and a second principle;
the first principle comprises ensuring that the iron tower is lightest in weight;
the second principle includes ensuring that the outcrop height of the foundation stud and calculating the outcrop height is within a set range.
In the above technical solution, the performing the preferred configuration on the long and short leg configuration according to the first principle includes:
the length of the tower leg tends to be maximum in the range of the value, and the length of the tower body tends to be minimum in the range of the value.
In the above technical solution, the performing the preferred configuration on the long and short leg configuration according to the second principle includes:
Calculating the outcrop height of the foundation upright post according to the maximum gradient and the least favorable side gradient at the section line; wherein the most adverse side slope gradient represents the maximum gradient at the base position taking into account the most adverse slope of the terrain as it descends;
the calculating method of the outcrop height of the foundation upright post comprises the following steps:
the calculating method for calculating the outcrop height of the foundation upright post comprises the following steps:
Wherein h1 represents the outcrop height of the foundation upright, h2 represents the calculated outcrop height of the foundation upright, Represents the diameter of the foundation upright, d1 represents the calculated length of the outcrop in the horizontal direction, d2 represents the calculated length of the outcrop in the horizontal direction,Representing the maximum gradient at the position of the section of the foundation column,/>Indicating the most unfavorable side slope grade.
In the technical scheme, the setting range of the outcrop height of the foundation upright post is 0.2-1.5 m;
and/or the setting range of the calculated outcrop height of the basic upright post is not more than 5m.
In the technical scheme, when residual soil is spread and stacked on the tower, the setting range of the outcrop height of the foundation upright post is 0.7 m-2.0 m;
and/or the setting range of the calculated outcrop height of the basic upright post is not more than 5m.
In the above technical scheme, the method further comprises the step of calculating root opening data of each leg according to iron tower data:
wherein B represents the longest leg opening; b1 represents the width of the bottle mouth; b3 represents a short leg opening; h0 represents tower call height; h2 represents the distance from the bottle mouth to the tower head cross arm; i represents the tower gradient; Δl represents the leg length difference.
In the above technical solution, the configuring the long and short legs according to the electrical ranking data, the measurement data, the iron tower data and the basic data under the limitation of the leg configuration optimization principle to obtain the longest leg connection and the minimum body connection combination under the current positioning high requirement includes:
according to basic data in a basic database, basic types and models of each tower position on a line are selected in batches;
Determining a target call height of a tower position required by the tower position by combining the current basic data and the electric ranking data, and searching iron tower data corresponding to the call height closest to the target call height in an iron tower database under the limitation of a first principle; on the basis of the iron tower data, preliminarily selecting A, B, C, D leg connecting lengths of four tower legs according to section lines;
under the limitation of the second principle, calculating and judging the outcrop height and the calculated outcrop height of the foundation upright post corresponding to each tower leg; when the outcrop height of part of the foundation upright post is lower than the set range, reducing the leg connecting length of the corresponding tower leg; when the outcrop heights of all the foundation upright posts are lower than the set range, the positioning height of the tower position is increased; when the outcrop height of the basic upright post is higher than the set range, the current leg connecting length level difference cannot meet the requirement;
When the leg length difference cannot meet the requirement, adopting a first instruction or a second instruction; the first instruction comprises increasing the leg length level difference, and redetermining the leg lengths of A, B, C, D four tower legs; the second instruction comprises ignoring the first principle, selecting iron tower data with larger call height in an iron tower database, and searching tower legs until the corresponding leg connecting length and call height which can meet the required leg connecting length level difference are found;
After the preferred configuration of all tower positions is completed, the preferred results are checked base by base, and tower type, corner information, positioning height and calling height in the preferred results, the leg connecting length of each tower leg, the outcrop height and the calculated outcrop height are exported.
In the above technical solution, the configuring the long and short legs according to the electrical ranking data, the measurement data, the iron tower data and the basic data under the limitation of the leg configuration optimization principle to obtain the longest leg connection and the minimum body connection combination under the current positioning high requirement further includes:
carrying out bearing capacity verification on a basic pattern of the derived result based on a basic bearing capacity calculation general program, and taking the derived result passing the bearing capacity verification as a scheme to be selected;
reselecting the basic pattern of each tower bit, and reselecting the tower bit according to the newly selected basic pattern; the section gradient, the outcrop height of the foundation upright post and the outcrop height are redetermined according to the newly selected foundation model, a long and short leg configuration scheme is obtained to form a new export result, and the export result is subjected to bearing capacity verification;
and selecting an optimal scheme meeting the rule requirements from all schemes to be selected passing the bearing capacity verification as final configuration.
The invention also discloses a long and short leg configuration system for realizing the intelligent power grid, which comprises the following steps:
An electrical ranking database for storing electrical ranking data of the tower positions on the line, the electrical ranking data at least comprising tower, positioning height and corner information of each tower position
A survey database for storing survey data including a topography and a cross-section of each tower bit;
The iron tower database is used for storing iron tower data, and the iron tower database comprises iron tower data corresponding to a plurality of iron towers of a plurality of towers;
The base database is used for storing base data, and the base database comprises base data corresponding to a plurality of bases in a plurality of base types;
the intelligent center for configuring the long and short legs adopts the long and short legs configuration method for realizing the intelligent power grid according to any one of the technical schemes to configure the long and short legs of the line iron tower.
In summary, due to the adoption of the technical characteristics, the invention has the beneficial effects that:
the method and the system for configuring the long and short legs of the intelligent power grid can remarkably improve the efficiency of configuring the long and short legs of the line, design the optimal configuration of the long and short legs of the line tower under the limit of the optimization principle, have higher reliability in configuration results and high degree of digital intelligence in the configuration process, can realize one-key optimization and batch setting, and effectively promote the development of the intelligent power grid.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a flow chart of a method for implementing a long and short leg configuration of a smart grid according to one embodiment of the invention;
FIG. 2 is a schematic diagram of the principle of the invention for legging an iron tower on a topographic map according to the corner information in the electrical arrangement data;
FIG. 3 is a section line of an embodiment of the present invention taken along the AC tower leg versus terrain;
FIG. 4 is a section line of an embodiment of the present invention taken along the BD tower leg versus the topographic map;
FIG. 5 is a schematic diagram of the parameters of a tangent tower stored in the iron tower database in accordance with one embodiment of the present invention;
FIG. 6 is a schematic diagram of tension tower parameters stored in a tower database in accordance with one embodiment of the present invention;
FIG. 7 is a schematic illustration of calculating the outcrop height of a foundation column and calculating the outcrop height in accordance with one embodiment of the present invention;
FIG. 8 is a flow chart of a preferred configuration for a long and short leg configuration in one embodiment of the invention;
Fig. 9 is a schematic diagram of a long and short leg configuration system for implementing a smart grid according to one embodiment of the invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced otherwise than as described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
A long and short leg configuration method and system for implementing a smart grid according to some embodiments of the present invention are described below with reference to fig. 1 to 9.
Some embodiments of the application provide a long and short leg configuration method for realizing a smart grid.
As shown in fig. 1, the first embodiment of the present invention proposes a method for implementing configuration of long and short legs of a smart grid, which includes steps S1 to S6, it will be understood that the order of steps S1 to S6 is not fixed, each step may be exchanged in the whole flow, and likewise, different steps may be executed simultaneously.
S1, acquiring electric ranking data of tower positions on a line, wherein the electric ranking data at least comprises tower type, positioning height, calling height and corner information of each tower position; the tower type comprises a tangent tower, a tension tower, a terminal tower and the like. In one particular embodiment, the electrical ranking data is entered by an electrical specialty into an electrical ranking database, specifically the data information is imported in. Xls or. Xlsx.
S2, acquiring measurement data, wherein the measurement data comprise a topographic map and a section map of each tower position; in one embodiment, the topography and section map are batch imported into the measurement database in the format of dwg, the topography comprises contour map results, in particular, the topography is a spatial three-dimensional contour, and the contour level difference can be considered according to a projection width of 5m or 10 m.
S3, as shown in FIG. 2, the four legs of the iron tower A, B, C, D are separated according to the corner information in the electrical arrangement data, the leg separation principle comprises taking the line advancing direction as an angular bisector forming an included angle with a BD intersecting line, and the topography map is sectioned according to the leg separation result, as shown in FIG. 3 and FIG. 4, the section line obtained by cutting along the AC and the section line obtained by cutting along the BD are kept matched with the section map, namely, the length of the iron tower leg is limited by the topography itself, and specifically, the section line obtained by cutting is basically matched with the section map imported by a measurement database.
S4, acquiring iron tower data in an iron tower database, wherein the iron tower database comprises iron tower data corresponding to a plurality of iron towers of various towers, and the iron tower data at least comprises tower head height, bottle opening width, distance from bottle opening to tower head cross arm, tower body gradient, number of connecting legs and connecting bodies, length of connecting legs and length difference of connecting legs of the iron tower. I.e. the pylon database stores data of a plurality of pylons for reference.
Fig. 5 and 6 illustrate certain tangent tower parameters and certain strain tower parameters stored in the pylon database, and in some embodiments, the root open data for each leg is calculated from pylon data:
wherein B represents the longest leg opening; b1 represents the width of the bottle mouth; b3 represents a short leg opening; h0 represents tower call height; h2 represents the distance from the bottle mouth to the tower head cross arm; i represents the tower gradient; Δl represents the leg length difference.
S5, obtaining basic data in a basic database, wherein the basic database comprises basic data corresponding to a plurality of foundations in a plurality of foundation types, and the basic data at least comprises the diameter, the length, the concrete engineering quantity, the concrete strength grade, the steel bar engineering quantity and the steel bar strength grade of the foundations; in one embodiment, the underlying data is imported into the underlying database as. Xls or. Xlsx.
And S6, carrying out optimal configuration on the long and short leg configuration under the limitation of a leg configuration optimal principle according to the electrical arrangement data, the measurement data, the iron tower data and the basic data, and obtaining the longest leg connection and the minimum body connection combination under the current high positioning requirement.
Specifically, the leg fitting optimization principle comprises a first principle and a second principle.
The first principle comprises ensuring that the iron tower is lightest in weight; the preferred configuration of the long and short leg configuration with reference to the first principle includes: the length of the tower leg tends to be maximum in the range of the value, and the length of the tower body tends to be minimum in the range of the value.
In one embodiment, for the pylon to be kept to its minimum weight, it is desirable to have the legs as long and the body as short as possible, based on this principle, it is desirable to select the target call height H0n that is the closest to the existing call height of the pylon in the pylon database, where the target call height H0n is equal to the locating heightAnd basic maximum reducing group/>The sum is that:
wherein H0 represents the call height of the corresponding iron tower in the iron tower database.
The second principle includes ensuring that the outcrop height of the foundation stud and calculating the outcrop height is within a set range.
In some embodiments, the preferred configuration of the long and short leg configuration with reference to the second principle comprises:
As shown in fig. 7, the outcrop height of the foundation pillar is calculated and the outcrop height is calculated from the maximum gradient and the most adverse side slope gradient at the section line; where the most adverse side slope gradient represents the maximum gradient at the base position taking into account the most adverse slope of the terrain as it descends.
The calculating method of the outcrop height of the foundation upright post comprises the following steps:
the calculating method for calculating the outcrop height of the foundation upright post comprises the following steps:
Wherein h1 represents the outcrop height of the foundation upright, h2 represents the calculated outcrop height of the foundation upright, Represents the diameter of the foundation upright, d1 represents the calculated length of the outcrop in the horizontal direction, d2 represents the calculated length of the outcrop in the horizontal direction,Representing the maximum gradient at the position of the section of the foundation column,/>Indicating the most unfavorable side slope grade.
In a specific embodiment, the setting range of the outcrop height of the foundation upright is 0.2 to 1.5m; the setting range of the calculated outcrop height of the foundation upright post is not more than 5m.
In another specific embodiment, when the tower position has the condition of residual soil spreading and stacking, the setting range of the outcrop height of the basic upright post is 0.7 m-2.0 m; the setting range of the calculated outcrop height of the foundation upright post is not more than 5m.
In a specific embodiment, the configuration of the long and short legs is preferably configured according to the electrical ranking data, the measurement data, the iron tower data and the basic data under the limitation of the leg configuration preference principle, and the longest leg joint and the smallest body joint combination under the current positioning high requirement are obtained, which comprises steps S61-S65.
S61, selecting the basic type and model of each tower bit on the line in batches according to the basic data in the basic database.
S62, determining a target call height of a tower position required by the tower position by combining current basic data and electric ranking data, and searching iron tower data corresponding to the call height closest to the target call height in an iron tower database under the limitation of a first principle; on the basis of the iron tower data, the leg connecting lengths of the A, B, C, D four tower legs are preliminarily selected according to the section lines.
S63, under the limitation of a second principle, calculating and judging the outcrop height and the calculated outcrop height of the foundation upright post corresponding to each tower leg; when the outcrop height of part of the foundation upright post is lower than the set range, reducing the leg connecting length of the corresponding tower leg; when the outcrop heights of all the foundation upright posts are lower than the set range, the positioning height of the tower position is increased; when the outcrop height of the basic upright post is higher than the set range, the current leg connecting length level difference cannot meet the requirement.
S64, when the leg connecting length difference cannot meet the requirement, adopting a first instruction or a second instruction; the first instruction comprises increasing the leg length level difference, and redetermining the leg lengths of A, B, C, D four tower legs; the second instruction comprises ignoring the first principle, selecting iron tower data with larger call height in an iron tower database, and searching tower legs until the corresponding leg connecting length and call height which can meet the required leg connecting length level difference are found. Wherein when the engineer evaluates that the execution cost of the first instruction is excessive, the second instruction is executed.
And S65, after the optimal configuration of all tower positions is completed, checking the optimal result base by base, and leading out the tower type, the corner information, the positioning height, the calling height, the leg connecting length of each tower leg, the outcrop height and the calculated outcrop height in the optimal result. In a specific embodiment, after all tower-position one-key optimization configuration is completed, checking the optimization result base by base based on a visual interface by an engineer, and after checking is completed; and (3) carrying out batch export on the configured tower-shaped, corner, positioning height, calling height, leg connecting length of each tower leg, exposed height and finished products for calculating the exposed height through a data output terminal, wherein the export format adopts. Xls or. Xlsx.
In some embodiments, as shown in fig. 8, the method performs preferred configuration on the long and short leg configuration according to the electrical ranking data, the measurement data, the iron tower data and the basic data under the limitation of the leg configuration preferred principle, obtains the combination of the longest leg joint and the smallest body joint under the current positioning high requirement, and further includes steps S66-S68.
And S66, carrying out bearing capacity verification on the basic pattern of the derived result based on a basic bearing capacity calculation general program, and taking the derived result passing the bearing capacity verification as a scheme to be selected.
S67, reselecting a basic pattern of each tower position, and reselecting the tower position according to the newly selected basic pattern; the section gradient, the outcrop height of the foundation upright post and the outcrop height are redetermined according to the newly selected foundation model, a long and short leg configuration scheme is obtained to form a new export result, and the export result is subjected to bearing capacity verification.
S68, selecting an optimal scheme meeting the rule requirements from all schemes to be selected passing the bearing capacity verification as final configuration. Specifically, the steps S65-S67 are iterated until both the long and short leg configuration and the base model meet the optimal requirements of the specification.
Further embodiments of the present invention disclose a long and short leg configuration system for implementing a smart grid, as shown in fig. 9, including: an electrical ranking database, a measurement database, an iron tower database, a basic database and a long and short leg configuration number intelligent center.
And the electric ranking database is used for storing electric ranking data of the tower positions on the line, and the electric ranking data at least comprises tower type, positioning height and corner information of each tower position.
And the measurement database is used for storing measurement data, and the measurement data comprise a topographic map and a section map of each tower bit.
The iron tower database is used for storing iron tower data, and the iron tower database comprises iron tower data corresponding to a plurality of iron towers with various tower shapes.
The base database is used for storing base data, and the base database comprises base data corresponding to a plurality of bases in a plurality of base types.
The intelligent center for configuring the long and short legs of the line iron tower adopts the long and short leg configuration method for realizing the intelligent power grid according to any one of the embodiments.
In some embodiments, the long and short leg configuration system for implementing the smart power grid further includes a visual interface and a data output terminal, where the visual interface is used to display configuration information, prescription information, etc. of the four tower legs in real time, and the data output terminal is used to output a final configuration result in a list form.
In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. A method for implementing a long and short leg configuration of a smart grid, comprising:
acquiring electrical ranking data of tower positions on a line, wherein the electrical ranking data at least comprises tower type, positioning height and corner information of each tower position;
Acquiring measurement data, wherein the measurement data comprises a topographic map and a section map of each tower position;
dividing legs of the iron tower A, B, C, D according to corner information in the electrical arrangement data, wherein a leg dividing principle comprises taking a line advancing direction as an angular bisector forming an included angle with an AC and BD intersecting line, and cutting a topographic map according to a leg dividing result, wherein a section line obtained by cutting is kept matched with the section map;
Acquiring iron tower data in an iron tower database, wherein the iron tower database comprises iron tower data corresponding to a plurality of iron towers of various towers, and the iron tower data at least comprises tower head height, bottleneck width, distance from the bottleneck to a tower head cross arm, tower body gradient, the number of connecting legs and connecting bodies, the length of the connecting legs and the length difference of the connecting legs of the iron tower;
Obtaining basic data in a basic database, wherein the basic database comprises basic data corresponding to a plurality of foundations in a plurality of foundation types, and the basic data at least comprises the diameter, the length, the concrete engineering quantity, the concrete strength grade, the steel bar engineering quantity and the steel bar strength grade of the foundations;
According to the electric ranking data, the measurement data, the iron tower data and the basic data, the configuration of the long and short legs is preferably configured under the limit of a leg configuration preference principle, and the longest leg connection and the smallest body connection combination under the current high positioning requirement are obtained;
the leg fitting optimization principle comprises a first principle and a second principle;
the first principle comprises ensuring that the iron tower is lightest in weight;
the second principle includes ensuring that the outcrop height of the foundation stud and calculating the outcrop height is within a set range.
2. The method for implementing a long and short leg configuration of a smart grid according to claim 1, wherein the preferentially configuring the long and short leg configuration with reference to the first principle comprises:
the length of the tower leg tends to be maximum in the range of the value, and the length of the tower body tends to be minimum in the range of the value.
3. The method for implementing a long and short leg configuration of a smart grid according to claim 1, wherein the optimally configuring the long and short leg configuration with reference to the second principle comprises:
Calculating the outcrop height of the foundation upright post according to the maximum gradient and the least favorable side gradient at the section line; wherein the most adverse side slope gradient represents the maximum gradient at the base position taking into account the most adverse slope of the terrain as it descends;
the calculating method of the outcrop height of the foundation upright post comprises the following steps:
the calculating method for calculating the outcrop height of the foundation upright post comprises the following steps:
Wherein h1 represents the outcrop height of the foundation upright, h2 represents the calculated outcrop height of the foundation upright, Represents the diameter of the foundation upright, d1 represents the calculated length of the outcrop in the horizontal direction, d2 represents the calculated length of the outcrop in the horizontal direction,/>Representing the maximum gradient at the position of the section of the foundation column,/>Indicating the most unfavorable side slope grade.
4. The method for configuring long and short legs for realizing intelligent power grids according to claim 3, wherein the setting range of the outcrop height of the foundation upright is 0.2 m-1.5 m;
and/or the setting range of the calculated outcrop height of the basic upright post is not more than 5m.
5. The method for configuring long and short legs for realizing intelligent power grids according to claim 3, wherein when residual soil is spread and stacked on a tower, the setting range of the outcrop height of the foundation upright post is 0.7 m-2.0 m;
and/or the setting range of the calculated outcrop height of the basic upright post is not more than 5m.
6. The method for implementing intelligent power grid configuration according to claim 1, further comprising calculating root opening data of each leg according to iron tower data:
wherein B represents the longest leg opening; b1 represents the width of the bottle mouth; b3 represents a short leg opening; h0 represents tower call height; h2 represents the distance from the bottle mouth to the tower head cross arm; i represents the tower gradient; Δl represents the leg length difference.
7. The method for configuring long and short legs for implementing intelligent power grid according to claim 1, wherein the configuring the long and short legs under the limitation of the principle of leg configuration optimization according to the electrical ranking data, the measurement data, the iron tower data and the basic data to obtain the combination of the longest leg connection and the smallest body connection under the current high positioning requirement comprises:
according to basic data in a basic database, basic types and models of each tower position on a line are selected in batches;
Determining a target call height of a tower position required by the tower position by combining the current basic data and the electric ranking data, and searching iron tower data corresponding to the call height closest to the target call height in an iron tower database under the limitation of a first principle; on the basis of the iron tower data, preliminarily selecting A, B, C, D leg connecting lengths of four tower legs according to section lines;
under the limitation of the second principle, calculating and judging the outcrop height and the calculated outcrop height of the foundation upright post corresponding to each tower leg; when the outcrop height of part of the foundation upright post is lower than the set range, reducing the leg connecting length of the corresponding tower leg; when the outcrop heights of all the foundation upright posts are lower than the set range, the positioning height of the tower position is increased; when the outcrop height of the basic upright post is higher than the set range, the current leg connecting length level difference cannot meet the requirement;
When the leg length difference cannot meet the requirement, adopting a first instruction or a second instruction; the first instruction comprises increasing the leg length level difference, and redetermining the leg lengths of A, B, C, D four tower legs; the second instruction comprises ignoring the first principle, selecting iron tower data with larger call height in an iron tower database, and searching tower legs until the corresponding leg connecting length and call height which can meet the required leg connecting length level difference are found;
After the preferred configuration of all tower positions is completed, the preferred results are checked base by base, and tower type, corner information, positioning height and calling height in the preferred results, the leg connecting length of each tower leg, the outcrop height and the calculated outcrop height are exported.
8. The method for configuring long and short legs for implementing intelligent power grid according to claim 7, wherein the configuring the long and short legs under the limitation of the principle of leg configuration optimization according to the electrical ranking data, the measurement data, the iron tower data and the basic data to obtain the combination of the longest leg connection and the smallest body connection under the current high positioning requirement further comprises:
carrying out bearing capacity verification on a basic pattern of the derived result based on a basic bearing capacity calculation general program, and taking the derived result passing the bearing capacity verification as a scheme to be selected;
reselecting the basic pattern of each tower bit, and reselecting the tower bit according to the newly selected basic pattern; the section gradient, the outcrop height of the foundation upright post and the outcrop height are redetermined according to the newly selected foundation model, a long and short leg configuration scheme is obtained to form a new export result, and the export result is subjected to bearing capacity verification;
and selecting an optimal scheme meeting the rule requirements from all schemes to be selected passing the bearing capacity verification as final configuration.
9. A long and short leg configuration system for implementing a smart grid, comprising:
An electrical ranking database for storing electrical ranking data of the tower positions on the line, the electrical ranking data at least comprising tower, positioning height and corner information of each tower position
A survey database for storing survey data including a topography and a cross-section of each tower bit;
The iron tower database is used for storing iron tower data, and the iron tower database comprises iron tower data corresponding to a plurality of iron towers of a plurality of towers;
The base database is used for storing base data, and the base database comprises base data corresponding to a plurality of bases in a plurality of base types;
an intelligent center for configuring long and short legs of a line iron tower by adopting the long and short leg configuration method for realizing the intelligent power grid according to any one of claims 1 to 8.
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