Method for measuring crossing line in overhead transmission line

Abstract

The invention relates to a method for measuring a crossing line in an overhead transmission line. The method comprises the following steps: collecting geographic data and meteorological data of an area where the crossing line is located and parameter data of the crossing line, and preprocessing the data; based on the meteorological data and the parameter data, calculating the wire sag of the crossing line and calculating the wire height based on the wire sag; calculating an initial net distance of the crossing line based on the conductor height of the crossing line; and judging the spanning structure type according to the geographic data of the area where the crossing line is located, and setting a corresponding structure correction value according to the structure type to correct the initial net distance of the crossing line to obtain the final net distance of the crossing line.

Description

Technical Field

[0001] The invention relates to a method for measuring a crossover line in an overhead power transmission line, and belongs to the technical field of power transmission line measurement. Background Art

[0002] With the continuous growth of electricity demand in modern society, the construction and reconstruction of transmission lines are expanding. Especially in the environment of complex terrain and dense infrastructure, the planning and construction of overhead transmission lines face severe challenges. During the construction process, transmission lines often need to cross important infrastructure such as roads, railways, high-voltage lines, gas pipelines, etc. Such crossing areas have extremely strict requirements on the safe clearance of the lines, and any slight error may lead to serious safety hazards. Therefore, how to accurately and reliably measure and predict the safe clearance of transmission lines in these crossing areas has become a key technical problem in the current construction of transmission lines. Summary of the invention

[0003] In order to solve the above problems existing in the prior art, the present invention proposes a method for measuring cross-over lines in overhead power transmission lines.

[0004] The technical solution of the present invention is as follows:

[0005] In one aspect, the present invention provides a method for measuring a crossover line in an overhead transmission line, comprising the following steps:

[0006] Collect geographical data, meteorological data of the area where the crossing line is located, and parameter data of the crossing line, and pre-process the data;

[0007] Based on the meteorological data and parameter data, the sag of the conductors of the crossing lines is calculated, and the height of the conductors is calculated based on the sag of the conductors;

[0008] Calculate the initial clear distance of the crossing line based on the conductor height of the crossing line;

[0009] The structural type of the crossing is determined by the geographical data of the area where the crossing line is located, and the initial net distance of the crossing line is corrected according to the corresponding structural correction value set according to the structural type to obtain the final net distance of the crossing line.

[0010] As a preferred embodiment of the present invention, the calculation formula for the conductor sag s of the crossing line is:

[0011]

[0012] Where: w represents the weight per unit length of the wire; L represents the span length; T represents the wire tension; α represents the wire expansion coefficient; ΔT represents the temperature change; q wIndicates the average wind pressure in the area; v w Indicates the average wind speed in the area.

[0013] As a preferred embodiment of the present invention, the calculation formula of the wire height H is:

[0014] H=H g -sH terrain

[0015] Where: H g Indicates the height of the support point; H terrain Indicates the average ground elevation of the area.

[0016] As a preferred embodiment of the present invention, the calculation formula for the initial net distance of the crossing line is:

[0017]

[0018] Where: d x It represents the horizontal distance on the ground, that is, the horizontal projection distance between the two supporting points of the wire on the ground; Δx represents the windage correction amount.

[0019] As a preferred embodiment of the present invention, the calculation formula for the final net distance D of the crossing line is:

[0020] D=D ′ min +K struct

[0021] Where: K struct It is the structural correction value.

[0022] As a preferred embodiment of the present invention, a machine learning model is constructed, and the machine learning model is trained by using the actual measurement data of the crossing and spanning lines and the corresponding geographic data, meteorological data and parameter data. The trained machine learning model outputs a correction factor to correct the final net distance of the crossing and spanning lines, as shown in the following formula:

[0023] D=D ′ min +K struct +D ML

[0024] Where: D ML is the correction factor.

[0025] On the other hand, the present invention also provides a measurement system for crossing lines in overhead power transmission lines, including a data acquisition module, a conductor height calculation module, an initial net distance calculation module, and a correction module;

[0026] The data acquisition module is used to collect geographical data, meteorological data and parameter data of the area where the crossing line is located, and pre-process the data;

[0027] The conductor height calculation module is used to calculate the conductor sag of the crossing line based on meteorological data and parameter data and calculate the conductor height based on the conductor sag;

[0028] The initial clear distance calculation module is used to calculate the initial clear distance of the crossing and spanning line based on the conductor height of the crossing and spanning line;

[0029] The correction module is used to determine the structural type of the crossing through the geographical data of the area where the crossing line is located, and to correct the initial net distance of the crossing line according to the corresponding structural correction value set according to the structural type to obtain the final net distance of the crossing line.

[0030] As a preferred embodiment of the present invention, the calculation formula for the conductor sag s of the crossing line is:

[0031]

[0032] Where: w represents the weight per unit length of the wire; L represents the span length; T represents the wire tension; α represents the wire expansion coefficient; ΔT represents the temperature change; q w Indicates the average wind pressure in the area; v w Indicates the average wind speed in the area.

[0033] On the other hand, the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any embodiment of the present invention when executing the program.

[0034] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any embodiment of the present invention.

[0035] The present invention has the following beneficial effects:

[0036] 1. The present invention can dynamically adjust the prediction model according to different construction environments, such as intersections of roads, railways, gas pipelines, etc. At the same time, through real-time input of wire parameters, terrain data and meteorological information, the machine learning model can adapt to different working conditions and continuously optimize the prediction results, thereby ensuring the accuracy of the results. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] It should be understood that the step numbers used in this document are only for convenience of description and are not intended to limit the order in which the steps are executed.

[0040] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0041] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0042] The term "and / or" means and includes any and all possible combinations of one or more of the associated listed items.

[0043] Embodiment 1:

[0044] See also Figure 1 A method for measuring a crossover line in an overhead transmission line comprises the following steps:

[0045] Collect geographical data, meteorological data of the area where the crossing line is located, and parameter data of the crossing line, and pre-process the data;

[0046] Based on the meteorological data and parameter data, the sag of the conductors of the crossing lines is calculated, and the height of the conductors is calculated based on the sag of the conductors;

[0047] Calculate the initial clear distance of the crossing line based on the conductor height of the crossing line;

[0048] The structural type of the crossing is determined by the geographical data of the area where the crossing line is located, and the initial net distance of the crossing line is corrected according to the corresponding structural correction value set according to the structural type to obtain the final net distance of the crossing line.

[0049] As a preferred implementation of this embodiment, the calculation formula for the conductor sag s of the crossing line is:

[0050]

[0051] Where: w represents the weight per unit length of the wire; L represents the span length; T represents the wire tension; α represents the wire expansion coefficient; ΔT represents the temperature change; q w Indicates the average wind pressure in the area; v w Indicates the average wind speed in the area.

[0052] As a preferred implementation of this embodiment, the calculation formula of the wire height H is:

[0053] H=H g -sH terrain

[0054] Where: H g Indicates the height of the conductor support point (such as a tower); H terrain It indicates the average ground undulation height of the area, that is, the vertical height difference between the surface of the area where the conductor crosses and the horizontal plane. This value reflects whether the terrain across which the line crosses has slopes, hills or other undulations. It is very important in calculating the clearance of the area where the transmission line crosses, because the complex terrain will affect the actual vertical clearance between the conductor and the ground, buildings, etc.

[0055] As a preferred implementation of this embodiment, the calculation formula for the initial net distance of the crossing line is:

[0056]

[0057] Where: d x It represents the horizontal distance on the ground, that is, the horizontal projection distance between the two supporting points of the conductor on the ground. It does not take into account the height undulation of the terrain and only measures the straight-line distance between the two points in the horizontal direction. In practical applications, the horizontal distance on the ground is used to evaluate the span of the conductor. Combined with parameters such as the conductor height and sag, the horizontal distance on the ground helps determine the safe clearance of the conductor in the crossing area. Δx represents the windage correction.

[0058] As a preferred implementation of this embodiment, the calculation formula for the final net distance D of the crossing line is:

[0059] D=D ′ min +K struct

[0060] Where: K struct is the structural correction value. In this embodiment, K struct Determined by the type of spanning structure, specifically:

[0061] Conventional roads: K struct =1.5 m;

[0062] Highway: K struct = 1 meter;

[0063] Conventional railway: K struct =1.5 m;

[0064] High-speed rail: K struct =2 m;

[0065] High voltage line: K struct = 1 meter;

[0066] Gas pipeline: K struct =0.8 m;

[0067] As a preferred implementation of this embodiment, a machine learning model is constructed, and the machine learning model is trained by using the actual measurement data of the crossing and spanning lines and the corresponding geographic data, meteorological data and parameter data. The trained machine learning model outputs a correction factor to correct the final net distance of the crossing and spanning lines, as shown in the following formula:

[0068] D=D ′ min +K struct +D ML

[0069] Where: D ML is the correction factor;

[0070] The training steps of this machine learning model are:

[0071] 1. Data Collection

[0072] First, build a data set containing multiple features. The collected feature data may include:

[0073] Physical characteristics: conductor tension, sag, span, conductor weight, expansion coefficient, windage, etc.

[0074] Meteorological characteristics: real-time wind speed, temperature, humidity, air pressure, etc.

[0075] Topographic features: Changes in terrain height across an area, types of land surfaces (such as roads, railways, buildings, etc.).

[0076] Spanning structure characteristics: the specific type of span (highway, railway, gas pipeline, etc.) and the required safety clearance specifications.

[0077] At the same time, a large amount of historical measurement data is collected, including the net distance calculated by physical formulas and the net distance actually measured. These data will provide sufficient samples for the machine learning model.

[0078] 2. Machine Learning Model Training

[0079] 2.1 Model selection

[0080] Based on the characteristics of the net distance prediction problem, the following machine learning models can be selected:

[0081] Regression model: used to predict the size of the correction factor.

[0082] Random Forest Regression: Able to handle nonlinear relationships and suitable for handling a large number of features.

[0083] Gradient Boosted Decision Tree (GBDT): A highly accurate tree model that can handle complex input features.

[0084] Support Vector Regression (SVR): Suitable for medium-sized datasets and can handle both linear and nonlinear regression problems.

[0085] 2.2 Feature Engineering

[0086] Constructing and selecting effective features is a key step in training machine learning models. Common features include:

[0087] Conductor parameters: such as conductor tension, weight per unit length, span length, etc.

[0088] Meteorological conditions: factors such as wind speed and temperature that affect the sag and height of the conductor.

[0089] Terrain parameters: terrain height and terrain undulation across the area.

[0090] Structural characteristics: the type of structure that crosses (such as roads, high-voltage lines, gas pipelines, etc.) and the safety clearance required by regulations.

[0091] Through feature selection and feature interaction (such as the interaction between wind speed and conductor sag), key features that can significantly affect the clear distance are extracted to improve the prediction ability of the model.

[0092] 2.3 Model Training

[0093] The input feature data and the actually measured safety clearance (label) are used as training sets, and the machine learning model is used to learn the relationship between the features and the clearance. Through training, the model will gradually find the optimal parameter combination and predict the clearance correction value;

[0094] 2.4 Model Evaluation and Tuning

[0095] Use cross-validation, test set and other methods to evaluate the prediction effect of the model. Common evaluation indicators include:

[0096] Mean Squared Error (MSE): measures the error between the predicted value and the actual value.

[0097] Mean Absolute Error (MAE): measures the absolute error between the predicted value and the actual value.

[0098] R 2 Score: Measures the explanatory power of the model.

[0099] By adjusting the model's hyperparameters (such as tree depth, number of leaf nodes, etc.), the model's predictive performance can be optimized.

[0100] After the model training is completed, new real-time data (such as line parameters, meteorological conditions, terrain features, etc.) are input, and the machine learning model will predict the correction factor, which is the value to compensate or correct the physical calculation results.

[0101] Embodiment 2:

[0102] A measurement system for crossing lines in overhead power transmission lines, characterized by comprising a data acquisition module, a conductor height calculation module, an initial clear distance calculation module and a correction module;

[0103] The data acquisition module is used to collect geographical data, meteorological data and parameter data of the area where the crossing line is located, and pre-process the data;

[0104] The conductor height calculation module is used to calculate the conductor sag of the crossing line based on meteorological data and parameter data and calculate the conductor height based on the conductor sag;

[0105] The initial clear distance calculation module is used to calculate the initial clear distance of the crossing and spanning line based on the conductor height of the crossing and spanning line;

[0106] The correction module is used to determine the structural type of the crossing through the geographical data of the area where the crossing line is located, and to correct the initial net distance of the crossing line according to the corresponding structural correction value set according to the structural type to obtain the final net distance of the crossing line.

[0107] As a preferred implementation of this embodiment, the calculation formula for the conductor sag s of the crossing line is:

[0108]

[0109] Where: w represents the weight per unit length of the wire; L represents the span length; T represents the wire tension; α represents the wire expansion coefficient; ΔT represents the temperature change; q w Indicates the average wind pressure in the area; v w Indicates the average wind speed in the area.

[0110] The system is used to implement the method in Example 1, which will not be described in detail here.

[0111] Embodiment three:

[0112] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any embodiment of the present invention when executing the program.

[0113] Embodiment 4:

[0114] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method described in any embodiment of the present invention is implemented.

[0115] In the embodiments of the present application, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, c can be single or multiple.

[0116] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0117] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0118] In several embodiments provided in the present application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), disk or optical disk, and other media that can store program codes.

[0119] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for measuring cross-over lines in overhead transmission lines, characterized in that: The following steps are involved: Collect geographical data, meteorological data of the area where the crossing line is located, and parameter data of the crossing line, and pre-process the data; Based on the meteorological data and parameter data, the sag of the conductors of the crossing lines is calculated, and the height of the conductors is calculated based on the sag of the conductors; Calculate the initial clear distance of the crossing line based on the conductor height of the crossing line; The structural type of the crossing is determined by the geographical data of the area where the crossing line is located, and the initial net distance of the crossing line is corrected according to the corresponding structural correction value set according to the structural type to obtain the final net distance of the crossing line.

2. The method for measuring crossing lines in an overhead power transmission line according to claim 1, characterized in that: The calculation formula for the conductor sag s of the crossing line is: Where: w represents the weight per unit length of the wire; L represents the span length; t represents the wire tension; α represents the wire expansion coefficient; ΔT represents the temperature change; q w Indicates the average wind pressure in the area; v w Indicates the average wind speed in the area.

3. The method for measuring crossing lines in an overhead power transmission line according to claim 2, characterized in that: The calculation formula of the wire height H is: H=H g -s-H terrain Where: H g Indicates the height of the support point; H terrain Indicates the average ground elevation of the area.

4. A method for measuring crossing lines in an overhead power transmission line according to claim 3, characterized in that: The calculation formula for the initial net distance of the crossing line is: Where: d x It represents the horizontal distance on the ground, that is, the horizontal projection distance between the two supporting points of the wire on the ground; Δx represents the windage correction amount.

5. A method for measuring crossing lines in an overhead power transmission line according to claim 4, characterized in that: The calculation formula for the final net distance D of the crossing line is: D=D′ min +K struct Where: K struct It is the structural correction value.

6. A method for measuring crossing lines in an overhead power transmission line according to claim 5, characterized in that: A machine learning model is constructed and trained through the actual measurement data of the crossing lines and the corresponding geographic data, meteorological data and parameter data. The trained machine learning model outputs a correction factor to correct the final net distance of the crossing lines, as shown in the following formula: D=D′ min +K struct +D ML Where: D ML is the correction factor.

7. A measurement system for crossing lines in overhead power transmission lines, characterized in that: It includes a data acquisition module, a conductor height calculation module, an initial net distance calculation module and a correction module; The data acquisition module is used to collect geographical data, meteorological data and parameter data of the area where the crossing line is located, and pre-process the data; The conductor height calculation module is used to calculate the conductor sag of the crossing line based on meteorological data and parameter data and calculate the conductor height based on the conductor sag; The initial clear distance calculation module is used to calculate the initial clear distance of the crossing and spanning line based on the conductor height of the crossing and spanning line; The correction module is used to determine the structural type of the crossing through the geographical data of the area where the crossing line is located, and to correct the initial net distance of the crossing line according to the corresponding structural correction value set according to the structural type to obtain the final net distance of the crossing line.

8. A system for measuring crossover lines in overhead power transmission lines according to claim 7, characterized in that: The calculation formula for the conductor sag s of the crossing line is: Where: w represents the weight per unit length of the wire; L represents the span length; T represents the wire tension; α represents the wire expansion coefficient; ΔT represents the temperature change; q w Indicates the average wind pressure in the area; v w Indicates the average wind speed in the area.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 6 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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