An optimization control method for power transmission line blocking operations in complex environments

Abstract

The present application relates to the technical field of power transmission line network sealing operations, and provides a method for optimizing and controlling power transmission line network sealing operations in complex environments. The method includes: constructing a three-dimensional model across the target area; retrieving the wind force forecast and historical vectors in the construction zone, performing frequency identification, and obtaining a calibrated wind force vector in the construction zone; performing sag and fracture simulation on the three-dimensional model of the transmission line based on the calibrated wind force vector to obtain a corresponding three-dimensional model; deploying the sag and fracture models in the three-dimensional model across the target area to generate identification results of the involved areas; and managing the power transmission line network sealing operations based on the identification results to solve the technical problems of the lack of quantitative analysis of the evaluation of the wire fracture and sag range in traditional network sealing operations, resulting in low efficiency and poor safety of network sealing operations, so as to achieve the effect of evaluating the areas involved in the network sealing operations by constructing a three-dimensional model across the target area and improving the safety and accuracy of the network sealing operations.

Description

Technical Field

[0001] The present application relates to the field of power transmission line technology, specifically to the field of power transmission line network sealing operation technology, and in particular to an optimization control method for power transmission line network sealing operations in complex environments. Background Art

[0002] In today's society, with the continuous acceleration of infrastructure construction, especially the dense layout of highways, high-speed railway networks and important transmission channels, the "three-span" (across highways, high-speed railways, and important transmission channels) construction of transmission lines has become an important challenge facing the power industry. This type of construction not only requires extremely high construction accuracy and safety, but also must be carried out without affecting existing traffic and power transmission. In the construction of "three-span" lines, the network closure operation is a key link to ensure construction safety and stable operation of the line. Its main purpose is to form a safe isolation net above the object being crossed to prevent accidents such as wire breakage and sagging during construction from causing damage to the traffic and power facilities below. However, traditional network closure operation schemes mostly rely on the experience and judgment of construction personnel to estimate the possible range of wire breakage or sagging. This evaluation method based on subjective experience often seems to be powerless in the face of complex and changeable construction environments, and it is difficult to accurately quantify risks, thus burying hidden dangers in the safety of network closure operations. Summary of the invention

[0003] The present application provides an optimization control method for power transmission line closure operations in complex environments, aiming to solve the technical problems in traditional closure operations, such as the lack of quantitative analysis in the assessment of the scope of conductor breakage and sagging, which leads to low efficiency and poor safety of closure operations. The application achieves the effect of improving the safety and accuracy of closure operations by constructing a three-dimensional model across the target area, evaluating the area involved in the closure operation, and improving the safety and accuracy of the closure operation.

[0004] In view of the above problems, the present application provides a method for optimizing control of power transmission line sealing operations in complex environments.

[0005] The present application provides a method for optimizing and controlling power transmission line closure operations in complex environments, the method comprising: constructing a three-dimensional model of a target area across the target region; retrieving a wind prediction vector and a wind history vector in the construction zone; frequency labeling the wind prediction vector and the wind history vector in the construction zone to obtain a calibrated wind vector in the construction zone; performing a droop simulation on the three-dimensional model of the power transmission line according to the calibrated wind vector in the construction zone to obtain a three-dimensional droop model of the power transmission line; performing a fracture simulation on the three-dimensional model of the power transmission line according to the calibrated wind vector in the construction zone to obtain a three-dimensional fracture model of the power transmission line; deploying the three-dimensional droop model of the power transmission line and the three-dimensional fracture model of the power transmission line in the three-dimensional model of the target area across the target region to obtain an identification result of the area involved; and managing the power transmission line closure operation according to the identification result of the area involved.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The above-mentioned optimization control method for power transmission line closure operation in complex environment first constructs a three-dimensional model across the target area to simulate the terrain, buildings and other potential obstacles in the target area. Then, by retrieving and analyzing the wind prediction vector and the wind history vector of the construction time zone, the wind conditions that may be encountered during the construction are understood. In order to convert these wind data into a reference basis for actual operation, these data are frequency-labeled to obtain a more specific construction time zone calibration wind vector. Subsequently, the construction time zone calibration wind vector is used to simulate the sag and fracture of the transmission line in the three-dimensional model across the target area. These simulations can intuitively show which areas the transmission line may sag to or where it is prone to fracture under different wind conditions. After completing these simulations, these sagging and fractured transmission line models are superimposed on the three-dimensional model across the target area to identify all areas that may be affected. This identification result provides important reference information to help determine the specific scope and strategy of the closure operation. Afterwards, based on the results of the area identification, the power transmission line closure operation is managed to ensure the safety of the closure operation, improve the efficiency of the closure operation, and reduce potential risks.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 A schematic flow chart of a method for optimizing control of power transmission line blocking operations in a complex environment in one embodiment;

[0011] Figure 2 A schematic diagram of a flow chart of constructing a three-dimensional model across a target area in an optimized control method for power transmission line sealing operations in a complex environment in one embodiment. DETAILED DESCRIPTION

[0012] The embodiment of the present application provides an optimized control method for power transmission line network sealing operations in complex environments, thereby solving the technical problem that in traditional network sealing operations, there is a lack of quantitative analysis in the assessment of the scope of conductor fracture and sagging, resulting in low efficiency and poor safety of the network sealing operations.

[0013] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0014] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0015] Examples, such as Figure 1 As shown, the present application provides a method for optimizing control of power transmission line blocking operations in complex environments, the method comprising:

[0016] Construct a 3D model spanning the target area.

[0017] In an embodiment of the present application, the system terminal uses modeling and simulation software to reproduce the specific area where the power line crossing construction is about to be carried out (such as important areas above or near highways and high-speed railways) in three-dimensional space, and construct a three-dimensional model of the target area. Before construction, the system terminal uses a drone to cruise the target area and collect environmental information of the target area, including natural surface morphological information such as mountains, rivers, and roads, as well as obstacle information such as buildings and trees. Through this process, the system terminal can obtain the data required to construct a three-dimensional model of the target area, and input these data into the modeling and simulation software to construct a three-dimensional model of the target area, so as to intuitively understand the overall picture of the entire construction area and provide support for subsequent network closure operation management.

[0018] Further, if Figure 2 As shown, the present application provides a method for constructing a three-dimensional model across a target area, including:

[0019] The modeling range is identified according to the tower layout information to obtain the target area range calibration result; the drone shooting path is configured according to the target area range calibration result to obtain the drone shooting path; the drone is controlled to cruise according to the drone shooting path to construct the three-dimensional model spanning the target area.

[0020] Preferably, the system terminal determines the position of the edge tower poles according to the tower pole layout information, and uses the position of these edge tower poles to identify the modeling range. These edge tower poles are the key nodes of the space framework, and the system terminal defines the specific area range where the three-dimensional model needs to be constructed, and obtains the target area range calibration result. This step is the basis for ensuring that the subsequent modeling work can accurately cover the target area. Subsequently, the system terminal analyzes the target area range in detail, clarifies the boundaries, terrain characteristics, potential obstacles and possible flight restriction areas of the area, and then identifies the areas and angles that need to be photographed, such as the crossing points of the transmission lines, important support structures, potential risk areas, etc., according to the construction requirements and safety requirements. After that, set the appropriate flight altitude according to the terrain, building height and shooting requirements of the target area. The flight altitude should ensure that the drone can clearly capture the target area while avoiding collisions with obstacles. Then set the flight speed of the drone to ensure the stability and clarity of the captured image. Too fast a flight speed may cause blurred images, while too slow may increase flight time and energy consumption. Then, the system terminal plans the flight path of the drone based on the target area range, flight parameters and shooting focus. The path should cover the entire target area as much as possible, and set appropriate shooting points on the flight path to ensure that the target area is photographed from multiple angles and heights. This step is an important preparation before building a three-dimensional model, which directly affects the accuracy and integrity of the subsequent model. Finally, according to the configured drone shooting path, control the drone to cruise and shoot. During the flight, the drone will take a full-scale shot of the target area according to the predetermined path, and the large amount of images and data collected will be used for subsequent three-dimensional modeling. Through modeling and simulation software, these images and data can be converted into a three-dimensional model across the target area, thereby achieving a comprehensive and intuitive display of the target area.

[0021] Retrieve the wind prediction vector and historical wind vector for the construction zone.

[0022] In one embodiment, in order to understand the wind conditions in the construction area, the system terminal retrieves two key data sets from the data center, namely the construction zone wind prediction vector and the construction zone wind history vector. Among them, the construction zone wind prediction vector refers to a set of data obtained by predicting the future wind conditions in the construction area within a specific construction time period. This set of data includes not only the size of the wind speed, but also information such as wind direction, wind pressure, and possible changes in wind force. The construction zone wind history vector refers to a set of historical data records of the actual wind conditions in the construction area during a specific construction time period in the past. This set of data also contains key information such as wind speed, wind direction, wind pressure, etc., which can reveal the seasonal changes in wind force in the construction area, the frequency and intensity of extreme weather events and other characteristics.

[0023] The wind force prediction vector of the construction zone and the wind force history vector of the construction zone are frequency labeled to obtain a calibrated wind force vector of the construction zone.

[0024] In one embodiment, after obtaining the wind force prediction vector and the wind force history vector of the construction zone, the system terminal performs frequency identification on the wind force history vector of the construction zone, and extracts the high-frequency wind force magnitude of each azimuth from the wind force history vector of the construction zone. These high-frequency wind force magnitudes represent the main characteristics of the wind force in the construction zone. Subsequently, the wind force prediction vector of the construction zone is segmented in azimuth to obtain the wind force prediction magnitude of each azimuth, and then the maximum value of the same azimuth is extracted from the frequency identification result and the azimuth segmentation result to obtain the calibrated wind force vector of the construction zone, which lays the foundation for the subsequent droop simulation and fracture simulation.

[0025] Furthermore, the present application provides frequency marking of the wind force prediction vector and the wind force history vector of the construction time zone to obtain a calibrated wind force vector of the construction time zone, including:

[0026] Perform frequency labeling on the wind history vector of the construction zone to obtain the high-frequency wind magnitude in the first azimuth, the high-frequency wind magnitude in the second azimuth, and up to the high-frequency wind magnitude in the Qth azimuth; perform azimuth segmentation according to the wind prediction vector of the construction zone to obtain the predicted wind magnitude in the first azimuth, the predicted wind magnitude in the second azimuth, and up to the predicted wind magnitude in the Qth azimuth; perform same-azimuth maximum value extraction according to the high-frequency wind magnitude in the first azimuth, the high-frequency wind magnitude in the second azimuth, and up to the high-frequency wind magnitude in the Qth azimuth, and obtain the calibrated wind vector of the construction zone.

[0027] Optionally, in order to understand the significant conditions of the wind force in the construction zone of each azimuth, the system terminal uses the method of aggregate statistics to divide the wind force history vector in the construction zone wind force history vector, and obtains Q azimuth wind force size lists and Q azimuth wind force trigger frequency lists. Subsequently, the frequency that meets the preset threshold is screened out from each azimuth wind force trigger frequency list, and the corresponding azimuth high-frequency wind force size is extracted from the azimuth wind force size list according to the mapping relationship between the two lists. In this way, the system terminal can obtain the high-frequency wind force size of the first azimuth, the high-frequency wind force size of the second azimuth, and the high-frequency wind force size of the Qth azimuth. These high-frequency wind force sizes represent the main modes of wind force characteristics in different azimuths of the construction area. Afterwards, according to the wind force prediction vector of the construction zone, the system terminal performs azimuth segmentation, that is, the predicted wind force data is classified according to the same Q azimuths. In this way, the possible future wind force prediction size in each azimuth is obtained, that is, the wind force prediction size of the first azimuth, the wind force prediction size of the second azimuth, and the wind force prediction size of the Qth azimuth. These predicted values ​​reflect the wind conditions that the construction area may encounter in different directions in the future. In order to obtain the calibrated wind vector in the construction zone, the system terminal extracts the maximum value of the same direction from the results of the above two steps. For each direction, the high-frequency wind force in the direction and the wind force in the direction are compared, and the larger value is selected as the calibrated wind force in that direction. In this way, the maximum wind risk that the construction area may encounter in the future can be conservatively estimated, thereby ensuring the safety and smooth progress of construction.

[0028] Furthermore, the present application provides frequency identification of the wind force history vector of the construction time zone to obtain the high-frequency wind force magnitude of the first azimuth, the high-frequency wind force magnitude of the second azimuth, and the high-frequency wind force magnitude of the Qth azimuth, including:

[0029] The construction zone wind history vector includes a first wind history vector, a second wind history vector, up to the Nth wind history vector; the first wind history vector is grouped by azimuth to obtain a first azimuth grouping result; up to the Nth wind history vector, the azimuth is grouped by azimuth to obtain an Nth azimuth grouping result; the first azimuth grouping result up to the Nth azimuth grouping result is aggregated and counted to obtain a first azimuth wind force size list and a first azimuth wind force trigger frequency list, up to the Qth azimuth wind force size list and the Qth azimuth wind force trigger frequency list; based on the first azimuth wind force trigger frequency list up to the Qth azimuth wind force trigger frequency list, the first azimuth wind force size list that meets the trigger frequency threshold is screened up to the Qth azimuth wind force size list to obtain the first azimuth high-frequency wind force size, the second azimuth high-frequency wind force size up to the Qth azimuth high-frequency wind force size.

[0030] Optionally, the wind force history vector of the construction time zone retrieved by the system terminal includes wind force history data of N time periods, namely, the first wind force history vector, the second wind force history vector, and the Nth wind force history vector. The system terminal groups the first wind force history vector according to the wind direction to obtain a grouping result based on the direction, namely, the first direction grouping result, and then uses the same method to group the remaining wind force history vectors to obtain N direction grouping results. Subsequently, these direction grouping results are aggregated and counted, including direction aggregation and size aggregation, to calculate the number of occurrences of different wind force sizes in each direction, namely, and the specific values ​​of these wind force sizes, and generate a series of data lists, including the wind force size list from the first direction to the Qth direction and the corresponding wind force trigger frequency list, and each pair of wind force size list and wind force trigger frequency list is mapped through the key value. Afterwards, based on the wind force trigger frequency list of each direction, the key value whose trigger frequency is greater than or equal to the trigger frequency threshold is screened out, and according to this key value, the corresponding high-frequency wind force size is matched from the wind force size list of each direction. In this way, the high-frequency wind force magnitude in the first direction, the high-frequency wind force magnitude in the second direction, and finally the high-frequency wind force magnitude in the Qth direction can be obtained, providing a basis for obtaining the calibrated wind force vector in the construction zone.

[0031] Further, the present application provides a method of performing aggregate statistics on the first azimuth grouping results until the Nth azimuth grouping results, obtaining a first azimuth wind force size list and a first azimuth wind force trigger frequency list, until a Qth azimuth wind force size list and a Qth azimuth wind force trigger frequency list, including:

[0032] Configure an azimuth deviation threshold and a wind force size deviation threshold; according to the azimuth deviation threshold, perform azimuth aggregation on the first azimuth grouping results until the Nth azimuth grouping results to obtain a first azimuth wind force size set until the Qth azimuth wind force size set; according to the wind force size deviation threshold, traverse the first azimuth wind force size set until the Qth azimuth wind force size set to perform size aggregation to obtain a first azimuth wind force size clustering result until the Qth azimuth wind force size clustering result.

[0033] Optionally, the system terminal configures the azimuth deviation threshold and the wind force deviation threshold according to historical experience and expert advice to determine under what circumstances the data is considered similar, so that it can be merged into the same group or category. After the azimuth deviation threshold and the wind force deviation threshold are configured, the system terminal performs grouping according to the azimuth information of the first azimuth grouping result to the Nth azimuth grouping result using the set azimuth deviation threshold. If the absolute difference between the azimuth degrees of two data points is less than or equal to the azimuth deviation threshold, they are classified into the same azimuth group. Repeat this process, compare the azimuths of the data points one by one, and according to the comparison results, classify similar azimuth data points into corresponding azimuth groups. For each azimuth grouping, the system terminal extracts the wind force information of all data points in the azimuth grouping from the first azimuth grouping result to the Nth azimuth grouping result, and constructs the azimuth wind force size set of the azimuth grouping. Repeat the above steps until all azimuth groups are processed, and obtain the first azimuth wind force size set to the Nth azimuth wind force size set. Then, the same method is used to further aggregate the wind force set obtained for each direction using the wind force deviation threshold. The purpose of this step is to merge data points with similar wind force, that is, data points with an absolute difference in wind force less than or equal to the wind force deviation threshold, into the same cluster, and obtain the clustering results of wind force in each direction, that is, the clustering results of wind force in the first direction until the clustering results of wind force in the Qth direction.

[0034] Traverse the first azimuth wind force size clustering results to extract the maximum wind force and obtain the first azimuth wind force size list; based on the number of wind forces within the class of the first azimuth wind force size clustering results, construct the first azimuth wind force trigger frequency list; traverse the Qth azimuth wind force size clustering results to extract the maximum wind force and obtain the Qth azimuth wind force size list; based on the number of wind forces within the class of the Qth azimuth wind force size clustering results, construct the Qth azimuth wind force trigger frequency list.

[0035] Optionally, for the obtained clustering result of the wind force size in the first azimuth, the system terminal traverses the clustering result, extracts the maximum wind value from each clustering cluster, and constructs a first azimuth wind force size list, which reflects the maximum wind force level that may occur in the azimuth. Subsequently, based on the number of wind forces within the clustering result of the wind force size in the first azimuth, that is, the number of wind data points contained in each clustering cluster, a first azimuth wind force triggering frequency list is constructed. Each element in this list corresponds to the triggering frequency of a wind force interval (or clustering cluster), that is, the number of times the wind force occurs in the interval. For the remaining Q-1 azimuth wind force size clustering results, the system terminal performs the same operation, thereby obtaining the first azimuth wind force size list until the Qth azimuth wind force size list, and the first azimuth wind force triggering frequency list until the Qth azimuth wind force triggering frequency list. Through the above clustering process, it is helpful to understand and analyze the wind force characteristics and changing trends in different azimuths, and determine the accurate construction time zone calibration wind force vector.

[0036] The droop simulation of the three-dimensional model of the transmission line is performed according to the calibrated wind vector in the construction time zone to obtain the droop three-dimensional model of the transmission line.

[0037] In one embodiment, the system terminal randomly enumerates the calibrated wind vectors in the construction time zone to obtain several wind simulation vectors. Subsequently, the pre-built three-dimensional model of the transmission line is activated. This three-dimensional model of the transmission line is constructed by inputting information such as the structure and material of the transmission line into the modeling and simulation software. The system terminal inputs several selected wind simulation vectors into the modeling and simulation software. In each input, the modeling and simulation software applies the wind simulation vector input this time to the three-dimensional model of the transmission line to perform simulation analysis of the droop effect. Through simulation analysis, the droop deformation of the transmission line under given wind conditions is obtained. Based on these analysis results, an initial three-dimensional model reflecting the droop state of the transmission line can be generated. Repeating this process, the system terminal constructs a corresponding initial transmission line droop three-dimensional model based on each wind simulation vector. Afterwards, these initial transmission line droop three-dimensional models are fused to obtain a comprehensive transmission line droop three-dimensional model, which is used to deploy in the three-dimensional model across the target area to evaluate the impact of droop on the safety and stability of the transmission line.

[0038] Furthermore, the present application provides a method for performing a droop simulation on a three-dimensional model of a transmission line according to the calibrated wind vector in the construction time zone to obtain a droop three-dimensional model of the transmission line, including:

[0039] Wind vector enumeration and combination are performed according to the calibrated wind vector in the construction zone to obtain a number of wind simulation vectors; droop simulation is performed on the three-dimensional model of the transmission line according to the several wind simulation vectors to obtain a number of initial three-dimensional transmission line droop models; maximum droop distances in all directions are merged on the several initial three-dimensional transmission line droop models to obtain the three-dimensional transmission line droop model.

[0040] Preferably, the system terminal performs multiple enumeration combinations through combined force analysis based on the obtained construction zone calibration wind vector data, that is, combines wind parameters such as different wind speeds and wind directions to generate several wind simulation vectors. These vectors together constitute a comprehensive coverage of the wind conditions in the construction zone. Subsequently, using these wind simulation vectors, the three-dimensional model of the transmission line is drooped and simulated in the modeling simulation software. For each wind simulation vector, a corresponding initial transmission line droop three-dimensional model is generated. These models show the possible droop deformation of the transmission line under different wind conditions. Afterwards, these initial transmission line droop three-dimensional models are processed, that is, in each orientation, the maximum distance of the transmission line droop in these models is found. This step is to ensure that the final droop three-dimensional model can reflect the maximum droop degree that the transmission line can reach in each orientation under all possible wind conditions. Then, based on the maximum droop distance in each orientation, a three-dimensional model of the transmission line droop is constructed. This model integrates the impact of all possible wind conditions on the sag of transmission lines. It is a more conservative and comprehensive model that can help system terminals better understand the sag of transmission lines in different construction time zones, so as to take corresponding measures to ensure the safety and stability of transmission lines.

[0041] The three-dimensional model of the transmission line is subjected to fracture simulation according to the calibrated wind vector in the construction time zone to obtain the three-dimensional model of the transmission line fracture.

[0042] In one embodiment, the system terminal uses a simulation method similar to the above, and in the modeling simulation software, applies several wind simulation vectors obtained by multiple enumerations to the three-dimensional model for blowing simulation to obtain multiple initial transmission line fracture three-dimensional models. Among them, the difference between the blowing simulation and the above-mentioned droop simulation is that the three-dimensional model used in the blowing simulation is obtained by performing windless fracture simulation on the three-dimensional model of the transmission line based on the fracture point position input by the user, rather than directly using the three-dimensional model of the transmission line for simulation. After obtaining multiple initial transmission line fracture three-dimensional models, the system terminal still performs model fusion based on the maximum droop distance to obtain a transmission line fracture three-dimensional model, which provides an important reference for understanding the fracture risk.

[0043] Furthermore, the present application provides a method for performing fracture simulation on a three-dimensional model of a transmission line according to the calibrated wind vector in the construction time zone to obtain a three-dimensional model of a transmission line fracture, including:

[0044] Through the user end, a list of fracture point locations is identified for the three-dimensional model of the transmission line; based on the list of fracture point locations, a windless fracture simulation is performed on the three-dimensional model of the transmission line to obtain a three-dimensional model of the windless fracture of the transmission line; wind vectors are enumerated and combined according to the calibrated wind vectors in the construction time zone to obtain a plurality of wind simulation vectors; based on the plurality of wind simulation vectors, a blowing simulation is performed on the three-dimensional model of the windless fracture of the transmission line to obtain a plurality of initial three-dimensional models of the fracture of the transmission line; the maximum droop distances in all directions are merged for the plurality of initial three-dimensional models of the fracture of the transmission line to obtain the three-dimensional model of the fracture of the transmission line.

[0045] Optionally, the system terminal obtains the position of the break point of the transmission line input by the user through the connection established with the user terminal, and generates a list of the break point positions. This list is the basis for subsequent simulation analysis, which indicates which parts of the model are assumed to have been broken and are areas that need to be focused on. Subsequently, based on the list of break point positions identified by the user, the three-dimensional model of the transmission line is simulated under windless conditions in the modeling and simulation software. This step simulates the change in the shape of the transmission line caused only by the break point when there is no external force (such as wind), and generates a three-dimensional model of the windless break of the transmission line. This model shows the basic shape of the transmission line after the break. After that, the same enumeration method as in the above-mentioned droop simulation is used to obtain several wind simulation vectors, and these wind simulation vectors are applied to the three-dimensional model of the windless break of the transmission line for blowing simulation. This step simulates how the broken transmission line is affected by wind under different wind conditions, including wind pressure, wind vibration, etc., and generates several initial three-dimensional models of the broken transmission line. Each model shows the dynamic shape of the broken transmission line under specific wind conditions. Then, all these initial fracture 3D models are processed, that is, in each direction, the maximum distance of the transmission line sag in these models is found and merged. This step is to ensure that the final fracture 3D model can reflect the maximum sag of the fractured transmission line in each direction under all possible wind conditions. Finally, based on the maximum sag distance in each direction, the system terminal constructs the final 3D model of the transmission line fracture. This model combines the location of the fracture point, the fracture morphology under windless conditions, and the maximum sag under different wind conditions, providing the system terminal with a comprehensive view of the transmission line fracture and its subsequent impact.

[0046] Furthermore, the present application provides a method of enumerating and combining wind vectors according to the calibrated wind vectors in the construction time zone to obtain a plurality of wind simulation vectors, including:

[0047] According to the calibrated wind vectors in the construction zone, k wind vectors are randomly extracted to obtain k wind vector extraction results; a combined force analysis is performed on the k wind vector extraction results to obtain k first wind simulation vectors; if the enumeration of k combinations is completed, k is increased by one; if the enumeration of k combinations is not completed, the random extraction of k wind vectors continues, wherein the total number of calibrated wind vectors in the construction zone is ≥k≥1, and the initial value of k is equal to 1.

[0048] Optionally, the system terminal first sets a variable k, whose initial value is 1, which is used to represent the number of wind vector combinations currently being processed. At the same time, ensure that the value of k does not exceed the total number of calibrated wind vectors in the construction zone, that is, the value range of k is an integer from 1 to the total number of wind vectors. Subsequently, k wind vectors are randomly extracted from all calibrated wind vectors in the construction zone. This step is random, which means that different wind vector combinations may be obtained each time it is executed. After that, the extracted k wind vectors are subjected to a combined force analysis. Combined force analysis refers to treating these wind vectors as forces acting on the transmission line at the same time, and calculating the result of their joint action by vector addition, that is, the first wind simulation vector. This simulation vector represents the wind conditions that the transmission line may face under the joint action of these k wind vectors. Then, check whether all possible k combinations have been enumerated. If it is completed, that is, k has reached the upper limit of the total number of wind vectors, the iteration is stopped; if it is not completed, that is, there are more combinations to try, the value of k is increased by 1, and the random extraction step is returned to continue the above random extraction and resultant force analysis process until all possible combinations have been processed. This process generates a series of first wind simulation vectors by iteratively randomly extracting wind vector combinations and performing resultant force analysis. These vectors represent the wind environment that the transmission line may face under different wind combination conditions. This method helps to comprehensively evaluate the stability and safety of the transmission line under different wind conditions.

[0049] The transmission line sagging three-dimensional model and the transmission line rupture three-dimensional model are deployed in the three-dimensional model of the target crossing area to obtain the identification result of the involved area; and the transmission line network closure operation management is performed according to the identification result of the involved area.

[0050] In one embodiment, the system terminal deploys the constructed 3D model of transmission line sagging and 3D model of transmission line fracture into the 3D model across the target area. This process ensures the accurate spatial alignment and fusion of all relevant models, forming a comprehensive 3D model containing complete information of the transmission line and its affected area. Subsequently, the involved area is identified using this comprehensive 3D model. By analyzing and comparing the spatial relationship between different models, especially the relative position between the sagging and fractured parts of the transmission line and the target area (such as buildings, rivers, roads, etc.), it is determined which areas may be affected by the change in the state of the transmission line, and these affected areas are clearly identified to form the identification results of the involved areas. Afterwards, based on the identification results of the involved areas, the planning and management of the transmission line network sealing operation are carried out. Network sealing operation refers to setting up safety nets or other protective measures around the transmission line to prevent broken wires or sagging lines from causing harm to the surrounding environment and personnel. According to the identified involved areas, a targeted network sealing operation plan can be formulated, including determining the scope of the network sealing, selecting appropriate network sealing materials and tools, arranging operation time and personnel, etc. Then, the network sealing operation plan formulated is implemented, and real-time monitoring is carried out during the operation. This includes checking the firmness of the sealing net, ensuring the safety of the operation, and being prepared to deal with possible emergencies at any time. Through this series of measures, the impact of transmission line sagging and fracture on the target area can be effectively reduced, ensuring the safety of the surrounding environment and personnel.

[0051] In summary, the embodiments of the present application have at least the following technical effects:

[0052] The embodiment of the present application first constructs a three-dimensional model across the target area, and retrieves the wind forecast and historical vectors of the construction zone, and generates a calibrated wind vector for the construction zone after frequency identification. Subsequently, according to the calibrated wind vector, the three-dimensional model of the transmission line is simulated for sag and fracture, and a sag three-dimensional model and a fracture three-dimensional model are obtained respectively. These models will be deployed in the three-dimensional model across the target area to identify the areas that may be involved and generate corresponding identification results. Afterwards, the network sealing operation of the transmission line is managed and optimized according to these identification results. These technical effects jointly solve the technical problems of the lack of quantitative analysis of the evaluation of the fracture and sagging range of the conductors in the traditional network sealing operation, resulting in low efficiency and poor safety of the network sealing operation, and realize the effect of improving the safety and accuracy of the network sealing operation by constructing a three-dimensional model across the target area and evaluating the areas involved in the network sealing operation.

[0053] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0054] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0055] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for optimizing and controlling power transmission line blocking operations in complex environments, characterized in that: include: Construct a three-dimensional model across the target area; Retrieve the wind force forecast vector and the wind force history vector in the construction zone; Performing frequency marking on the wind force prediction vector and the wind force history vector of the construction time zone to obtain a calibrated wind force vector of the construction time zone; Performing a droop simulation on the three-dimensional model of the transmission line according to the calibrated wind vector in the construction time zone to obtain a droop three-dimensional model of the transmission line; Performing fracture simulation on the three-dimensional model of the transmission line according to the calibrated wind vector in the construction time zone to obtain the three-dimensional model of the transmission line fracture; Deploy the transmission line sagging three-dimensional model and the transmission line rupture three-dimensional model on the three-dimensional model of the target crossing area to obtain the result of the identification of the involved area; Performing power transmission line closure operation management according to the results of the area identification involved; Performing frequency marking on the wind force prediction vector and the wind force history vector of the construction time zone to obtain the calibrated wind force vector of the construction time zone includes: Perform frequency marking on the wind force history vector of the construction time zone to obtain the high-frequency wind force magnitude of the first azimuth, the high-frequency wind force magnitude of the second azimuth, and the high-frequency wind force magnitude of the Qth azimuth; Perform azimuth segmentation according to the wind force prediction vector in the construction time zone to obtain the wind force prediction magnitude in the first azimuth, the wind force prediction magnitude in the second azimuth, and finally the wind force prediction magnitude in the Qth azimuth; According to the high-frequency wind force magnitude in the first azimuth, the high-frequency wind force magnitude in the second azimuth, and the high-frequency wind force magnitude in the Qth azimuth, the maximum value of the first azimuth wind force prediction magnitude, the second azimuth wind force prediction magnitude, and the Qth azimuth wind force prediction magnitude is extracted in the same azimuth to obtain the calibrated wind force vector of the construction time zone; Perform frequency marking on the wind force history vector of the construction time zone to obtain the high-frequency wind force magnitude of the first azimuth, the high-frequency wind force magnitude of the second azimuth, and the high-frequency wind force magnitude of the Qth azimuth, including: The construction zone wind history vectors include a first wind history vector, a second wind history vector, and up to an Nth wind history vector; performing azimuth grouping on the first wind historical vectors to obtain a first azimuth grouping result; Until the N-th wind historical vector is grouped in azimuth order to obtain the N-th azimuth grouping result; Aggregate and count the first azimuth grouping results to the Nth azimuth grouping results to obtain a first azimuth wind force magnitude list and a first azimuth wind force triggering frequency list, to a Qth azimuth wind force magnitude list and a Qth azimuth wind force triggering frequency list; Based on the first azimuth wind force trigger frequency list up to the Qth azimuth wind force trigger frequency list, filter the first azimuth wind force magnitude list that meets the trigger frequency threshold up to the Qth azimuth wind force magnitude list, and obtain the first azimuth high-frequency wind force magnitude, the second azimuth high-frequency wind force magnitude up to the Qth azimuth high-frequency wind force magnitude; The droop simulation of the three-dimensional model of the transmission line is performed according to the calibrated wind vector in the construction time zone to obtain the droop three-dimensional model of the transmission line, including: Enumerate and combine wind vectors according to the calibrated wind vectors in the construction time zone to obtain a plurality of wind simulation vectors; According to the plurality of wind force simulation vectors, performing droop simulation on the three-dimensional model of the transmission line to obtain a plurality of initial three-dimensional droop models of the transmission line; fusing the maximum sag distances in all directions of the plurality of initial transmission line sag three-dimensional models to obtain the transmission line sag three-dimensional model; Performing fracture simulation on the three-dimensional model of the transmission line according to the calibrated wind vector in the construction time zone to obtain the three-dimensional model of the transmission line fracture, including: By means of a user terminal, a list of breakpoint locations is marked for the three-dimensional model of the power transmission line; Based on the fracture point position list, a windless fracture simulation is performed on the three-dimensional model of the transmission line to obtain a windless fracture three-dimensional model of the transmission line; Enumerate and combine wind vectors according to the calibrated wind vectors in the construction time zone to obtain a plurality of wind simulation vectors; According to the plurality of wind force simulation vectors, a blowing simulation is performed on the three-dimensional model of the power transmission line fracture without wind to obtain a plurality of initial three-dimensional models of the power transmission line fracture; The maximum sag distances in all directions are fused for the several initial three-dimensional models of power transmission line rupture to obtain the three-dimensional model of power transmission line rupture.

2. The method for optimizing and controlling power transmission line sealing operations in complex environments according to claim 1, characterized in that: Construct a 3D model across the target area, including: Identify the modeling range based on the tower layout information and obtain the target area range calibration result; According to the target area range calibration result, the UAV shooting path is configured to obtain the UAV shooting path; The drone is controlled to cruise according to the drone shooting path, and a three-dimensional model of the spanning target area is constructed.

3. The optimization control method for power transmission line sealing operation in complex environment as claimed in claim 1, characterized in that: Aggregate statistics are performed on the first azimuth grouping results to the Nth azimuth grouping results to obtain a first azimuth wind force magnitude list and a first azimuth wind force triggering frequency list, to a Qth azimuth wind force magnitude list and a Qth azimuth wind force triggering frequency list, including: Configure the azimuth deviation threshold and wind force deviation threshold; According to the azimuth deviation threshold, performing azimuth aggregation on the first azimuth grouping results to the Nth azimuth grouping results to obtain a first azimuth wind force magnitude set to a Qth azimuth wind force magnitude set; According to the wind force magnitude deviation threshold, traverse the first azimuth wind force magnitude set until the Qth azimuth wind force magnitude set to perform magnitude aggregation, and obtain the first azimuth wind force magnitude clustering result until the Qth azimuth wind force magnitude clustering result; Traversing the clustering results of the wind force magnitudes in the first azimuth to extract the maximum wind force, and obtaining a list of the wind force magnitudes in the first azimuth; Based on the number of wind forces within the cluster of the wind force magnitudes in the first direction, construct a list of wind force triggering frequencies in the first direction; Traversing the clustering results of wind force magnitudes at the Q-th azimuth to extract the maximum wind force, and obtaining a list of wind force magnitudes at the Q-th azimuth; Based on the number of wind forces within the cluster of the wind force magnitude clustering result at the Q-th azimuth, a list of wind force triggering frequencies at the Q-th azimuth is constructed.

4. The method for optimizing and controlling power transmission line sealing operations in complex environments according to claim 1, characterized in that: According to the calibrated wind vector of the construction time zone, wind vector enumeration and combination are performed to obtain several wind simulation vectors, including: Performing random extraction of k wind vectors according to the calibrated wind vector of the construction time zone to obtain k wind vector extraction results; Performing a combined force analysis on the k wind force vector extraction results to obtain k first wind force simulation vectors; If the k-item combination is enumerated, k is increased by one; If the enumeration of k combinations is not completed, continue to perform random extraction of k wind vectors, where the total number of calibrated wind vectors in the construction zone is ≥k≥1, and the initial value of k is equal to 1.

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