Overhead line state evaluation method and system based on digital twinborn technology

Abstract

The invention provides an overhead line state evaluation method and system based on a digital twinborn technology. The method comprises the following steps: extracting meteorological data influencing a wire from overhead line meteorological monitoring data; based on the meteorological data, a pre-constructed digital twinborn system is used to calculate and determine whether the overhead line has a risk; and when the overhead line has a risk, issuing early warning information by using a pre-constructed digital twin system. According to the method, physical entities are digitally mapped to elements such as equipment, channels, environments and events for a set of multiple service scenes, equipment states are analyzed in combination with monitoring data or forecast data, physical equipment operation and maintenance are fed back, repeated iteration is carried out, and an entity world on the physical dimension and a digital world on the information dimension coexist and are virtually and actually fused; the collaboration of various digital, intelligent and automatic means is improved, the systematicness, continuity and integrity of equipment state evaluation are improved, and lean management and upgrading of equipment are supported.

Description

Technical Field

[0001] The present invention relates to the technical field of digital twins, and particularly to an overhead line state evaluation method and system based on digital twin technology. Background Art

[0002] Overhead lines are the core carriers for carrying electric energy transmission and balancing power supply and demand, and are important infrastructure related to the national economic development and national public safety. With the frequent occurrence of extreme weather, the operating environment of overhead lines has become increasingly complex, seriously threatening power supply safety. In traditional line state evaluation, the business is separated, the degree of scenario integration is low, and the dynamic interaction between the real world and the digital world is insufficient, so the advantages of digital and intelligent technologies are not fully utilized. The state evaluation of overhead lines based on digital twin technology digitizes all elements such as equipment, channels, environment, and events, constructs a virtual image of the line in the information space, and forms a pattern in which the physical world in the physical dimension and the digital world in the information dimension coexist and blend with each other. Through the interaction between the virtual and the real and continuous iteration, the full life cycle management of equipment is realized; with the help of more ubiquitous and inclusive perception, faster networks, and more intelligent computing, the digital transformation and intelligent upgrade of equipment management are promoted.

[0003] With the rapid growth of the power grid scale, especially in areas with large power grid transmission capacity and complex operating environments, the contradiction between the demand for line disaster prevention capabilities and structural staff shortages has become increasingly prominent. There is an urgent need for digital and intelligent technical means to improve the evaluation level of the equipment body state and reduce the operation and maintenance pressure brought by periodic inspections. On the other hand, using new generation digital technologies to empower traditional equipment management professionals and improve the capabilities of equipment state real-time perception and evaluation, risk proactive warning, and operation precise control will effectively improve the operation and maintenance efficiency of overhead lines and greatly reduce the risk of sudden accidental damage to the lines, which is of great significance for ensuring the reliable operation of equipment.

[0004] At present, the state evaluation of equipment mainly discovers equipment defects, hidden dangers, and channel risks through the "human-machine" collaborative periodic inspections and monitoring equipment automatic alarms. The evaluation of equipment state and the assessment of channel risks are quantitatively evaluated based on standards such as "Overhead Transmission Line State Evaluation Guidelines" and "Important Transmission Channel Risk Assessment Guidelines". The coordination between various means is insufficient, the degree of information sharing is not enough, the two-way feedback interaction between the digital achievements and the actual operation state of the equipment entity is lacking, the historical operation environment and maintenance conditions are ignored, and the overhead line equipment body and channel environment are only evaluated based on the current inspections and monitoring, and the management ability of the full life cycle of the equipment is insufficient. Summary of the Invention

[0005] In order to solve the problems existing in the prior art, the present invention provides an overhead line state evaluation method based on digital twin technology, including:

[0006] Extract the meteorological data that affects the conductor from the meteorological monitoring data of the overhead line;

[0007] Based on the meteorological data, use the pre-constructed digital twin system to calculate and determine whether there is a risk in the overhead line;

[0008] When there is a risk in the overhead line, use the pre-constructed digital twin system to issue a warning message;

[0009] The digital twin system is used to construct a geometric model of the transmission line based on the outer contour of the overhead line and the environment of the overhead line corridor.

[0010] Preferably, the digital twin system is constructed as follows:

[0011] Based on high-precision modeling technology, construct a geometric twin of the outer contour of the overhead line body; where the overhead line body includes: transmission towers, insulators, fittings, foundations, lightning arresters, auxiliary facilities, and conductors and / or ground wires connected between each node with each insulator as a node;

[0012] Adopt oblique photography or laser scanning technology to combine the line corridor environment with the overhead line body to obtain an integrated twin;

[0013] Load the geometric twin of the outer contour of the overhead line body and the line corridor environment into the 3D GIS system to obtain a 3D geometric model of the transmission line;

[0014] Adopt a laser point cloud model to fit the 3D geometric model of the transmission line and calibrate the 3D geometric model of the transmission line;

[0015] Based on the calibrated 3D geometric model of the transmission line, adopt the finite element method to construct an internal force analysis twin of the overhead line for stress simulation analysis; where the internal force analysis twin of the overhead line includes: transmission towers, conductors, ground wires, insulators;

[0016] Based on the 3D geometric model of the transmission line, the integrated twin, and the internal force analysis twin of the overhead line, construct a digital twin system.

[0017] Preferably, the meteorological monitoring data includes: based on the meteorological monitoring data of the overhead line, weather forecast data, or UAV operation data;

[0018] The calculation based on the meteorological data using the pre-constructed digital twin system to determine whether there is a risk in the overhead line includes:

[0019] When there is strong wind or heavy ice coating in the meteorological data that affects the conductor; based on the wind speed, wind direction, or ice coating data, use the digital twin system to calculate the stress and displacement of the conductors between each node to determine whether there is a risk of damage to the line;

[0020] When there is a high-temperature situation in the gas data that affects the wire, the digital twin system is used to determine the wire information of each node based on the temperature data, and whether there is a risk of crossing is judged according to the spatial shortest distance between the wire and the laser point cloud model of the object being crossed.

[0021] Preferably, using the digital twin system to calculate the stress and displacement of the wire based on wind speed, wind direction or icing data to determine whether there is a risk of damage to the overhead line, including:

[0022] Based on wind speed, wind direction or icing data, perform simulation calculations to obtain the stress and displacement of the wire between each node in the overhead line, and obtain a stress nephogram;

[0023] Render the stress nephogram to the 3D geometric model of the overhead line according to the node correspondence relationship. At the same time, identify the spatial positions of the node displacements at each moment, connect the lines according to the original node connection relationship, and depict the motion and stress state of the overhead line;

[0024] Judge whether there is a risk of mechanical and structural damage according to the motion and stress state of the overhead line.

[0025] Preferably, using the digital twin system to determine the wire information based on the temperature data, and judging whether there is a risk of crossing according to the spatial shortest distance between the wire and the laser point cloud model of the object being crossed, including:

[0026] Based on the temperature data, use the high-temperature wire sag formula to calculate the sag length of the wire between each node;

[0027] Based on the calculated sag length of the wire between each node, use the catenary approximate profiling method to redraw the wire curve of the geometric twin of the overhead line body;

[0028] Use the Euclidean distance to calculate the spatial shortest distance between the redrawn wire and the laser point cloud model of the object being crossed, and judge whether there is a risk of important crossing in high-temperature weather.

[0029] Preferably, the use of the pre-constructed digital twin system to issue early warning information includes:

[0030] Through research and judgment, for the tower positions corresponding to the wires with risks, use the digital twin system to issue early warning information.

[0031] Preferably, after using the pre-constructed digital twin system to issue early warning information, it further includes:

[0032] According to the early warning situation, the platform conducts UAV flight planning, conducts refined UAV inspections on the lines of the risk spans, and transmits back the photos taken at the risk points:

[0033] Based on the captured photos, confirm the risk situation and generate maintenance suggestions.

[0034] Based on the same inventive concept, the present invention also provides an overhead line status evaluation device based on digital twin technology, including:

[0035] An acquisition module, configured to extract meteorological data affecting the conductor from the overhead line meteorological monitoring data;

[0036] A risk determination module, configured to calculate and determine whether there is a risk in the overhead line based on the meteorological data using a pre-constructed digital twin system;

[0037] An early warning module, configured to issue an early warning message using a pre-constructed digital twin system when there is a risk in the overhead line;

[0038] The digital twin system is used to construct a geometric model of the transmission line based on the outer contour of the overhead line and the overhead line corridor environment.

[0039] Based on the same inventive concept, the present invention also provides an overhead line status evaluation system based on digital twin technology, including: a basic end, a model layer, a data layer, an analysis layer, and an application end;

[0040] The basic end is used to manage physical devices;

[0041] The model layer is used to establish and store a twin model library.

[0042] The data layer is used to store data collected by physical devices, calculation result data using twin models, operation data, monitoring data, external system shared data, historical fault data, line body data, twin model calculation result data, and early warning data.

[0043] The analysis layer is used to: based on each model, simulate and analyze the state of the transmission line by combining the data collected by the physical devices with pre-set rules, and determine whether there is a risk in the overhead line;

[0044] The application end is used to evaluate various risks of the overhead line, issue early warnings for disasters occurring, and maintain maintenance strategies based on the basic end, the data layer, and the analysis layer.

[0045] Preferably, the physical devices include: a line body, a sensing device, a monitoring device, and a drone;

[0046] The twin model library includes: a geometric model of the transmission line, a geometric twin of the outer contour of the overhead line body, an integrated twin, and a three-dimensional geometric model of the transmission line;

[0047] The pre-set rules include: a pre-constructed data-driven model, an experience model, and a rule model.

[0048] Based on the same inventive concept, the present invention also provides an electronic device, including: at least one processor and a memory; the memory and the processor are connected through a bus;

[0049] The memory is used to store one or more programs;

[0050] When the one or more programs are executed by the at least one processor, a method for evaluating the state of an overhead line based on digital twin technology provided by the present invention is implemented.

[0051] Based on the same inventive concept, the present invention also provides a readable storage medium with an execution program stored thereon. When the execution program is executed, a method for evaluating the state of an overhead line based on digital twin technology provided by the present invention is implemented.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0053] A method and system for evaluating the state of an overhead line based on digital twin technology according to the present invention includes: extracting meteorological data affecting the conductor from the meteorological monitoring data of the overhead line; calculating based on the meteorological data using a pre-constructed digital twin system to determine whether there is a risk in the overhead line; when there is a risk in the overhead line, issuing a warning message using the pre-constructed digital twin system; the digital twin system is used to construct a geometric model of the transmission line based on the outer contour of the overhead line and the overhead line corridor environment. The present invention combines multiple business scenarios; digitizes all elements such as equipment, channels, environment, events, etc., maps physical entities, analyzes the equipment state by combining monitoring data or forecast data, feeds back the operation and maintenance of physical equipment, and iterates repeatedly to form a pattern where the physical world and the digital world coexist and blend in the physical dimension and the information dimension; improves the coordination of various digital, intelligent, and automated means, enhances the systematicness, continuity, and integrity of equipment state evaluation, supports lean management of equipment, and promotes the digital transformation and intelligent upgrade of equipment management. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a flowchart of a method for evaluating the state of an overhead line based on digital twin technology according to the present invention;

[0055] Figure 2 It is a schematic diagram of a transmission tower node;

[0056] Figure 3 It is a schematic diagram of a conductor insulator and fittings;

[0057] Figure 4 It is a schematic diagram of loading the geometric twin of the overhead line outer contour into the GIS system;

[0058] Figure 5 Schematic diagram of laser point cloud model

[0059] Figure 6 Schematic diagram of the twin state of overhead lines under strong wind action

[0060] Figure 7 Schematic diagram of the twin state of overhead lines under high temperature action

[0061] Figure 8 Schematic diagram of UAV flight path planning

[0062] Figure 9 Schematic diagram of the structure of an overhead line condition assessment system based on digital twin technology according to the present invention

[0063] Figure 10 Schematic diagram of the structure of an electronic device according to the present invention Detailed implementation manners

[0064] An overhead line condition assessment technology based on digital twin technology is proposed. By digitizing all elements such as equipment, channels, environment, and events, a virtual image of the line is constructed in the information space, forming a pattern in which the physical world and the digital world coexist and blend in the physical dimension and the information dimension. Through virtual-real interaction and continuous iteration, the full life cycle management of equipment is realized; with the help of more ubiquitous, inclusive perception, faster networks, and more intelligent computing, the systematicness, continuity, and integrity of equipment condition evaluation are improved, supporting the lean operation and maintenance of equipment, enhancing the quality and efficiency of operation and maintenance inspection, and promoting the digital transformation and intelligent upgrade of equipment management. To better understand the present invention, the content of the present invention will be further described below in conjunction with the accompanying drawings of the specification and examples.

[0065] Example 1:

[0066] As Figure 1 shown, this embodiment provides an overhead line condition assessment method based on digital twin technology, including:

[0067] S1. Extract meteorological data that affects the conductors from the meteorological monitoring data of the overhead line;

[0068] S2. Based on the meteorological data, use the pre-constructed digital twin system to calculate and determine whether there is a risk in the overhead line;

[0069] S3. When there is a risk in the overhead line, use the pre-constructed digital twin system to issue a warning message;

[0070] The digital twin system is used to construct a geometric model of the transmission line based on the outer contour of the overhead line and the overhead line corridor environment.

[0071] Specifically, step S1 extracts meteorological data that affects the conductor from the overhead line meteorological monitoring data, including:

[0072] By deploying meteorological monitoring devices on the overhead line or obtaining real-time meteorological data of the overhead line from an external meteorological system, including parameters such as temperature, humidity, wind speed, wind direction, or icing conditions. It is also possible to use sensors such as high-definition cameras and infrared thermal imagers carried by drones to conduct aerial photography and multi-dimensional data collection of the overhead line to determine icing data. And use means such as data cleaning and data fusion to process multi-source heterogeneous meteorological data, realizing standardized storage and management of data, and providing data support for subsequent line condition analysis.

[0073] Specifically, meteorological monitoring devices are deployed at each node of the overhead line. The meteorological device can integrate temperature and humidity sensors, wind speed and wind direction sensors, cameras, etc. The meteorological devices at each node can be used to collect meteorological data. Wireless sensors can also be integrated on the meteorological collection device, and the data can be transmitted to the data processing device in real time through a wireless communication protocol (such as Zigbee). It is also possible to obtain high-precision meteorological forecast data for the next few days from the Central Meteorological Observatory, including temperature, relative humidity, wind speed, wind direction, etc., and the time granularity can be 1 hour. The drone inspection can use a quadcopter drone equipped with a 20-megapixel visible light camera and a 640×512-pixel infrared thermal imager, and the data can be transmitted back in real time through an on-board 4G module, and the backhaul bandwidth is 10 Mbps. The drone flight control uses a PID control algorithm, and according to differential GPS positioning and the three-dimensional model of the overhead line, it autonomously plans the flight path, with a flight speed of 5 m / s and a waypoint hover time of 5 seconds. The data layer uses the Hadoop distributed file system HDFS to store multi-source heterogeneous data, and data cleaning and fusion are performed through the MapReduce parallel processing framework. This embodiment can also match the meteorological data with the drone images through spatial coordinates for subsequent simulation calculations.

[0074] Specifically, the construction of the digital twin system in step S2 includes:

[0075] S201, using high-precision modeling technology to construct a geometric twin of the overhead line outline, including transmission towers, conductors and / or ground wires, insulators, fittings, foundations, lightning arresters, ancillary facilities, etc., and the modeling accuracy of the ontology reaches the bolt level; the schematic diagrams of the transmission tower nodes, conductors, insulators, and fittings after modeling are as shown in Figure 2 and Figure 3 shown.

[0076] S202, using oblique photography or laser scanning technology to construct an integrated twin of the line corridor environment and the ontology;

[0077] S203, loading the geometric twin of the overhead line outline into a 3D GIS system to obtainFigure 4 ;

[0078] Adopt oblique photography or laser scanning technology to obtain high-precision three-dimensional point cloud data of the overhead line corridor environment and the body. Preprocess the obtained three-dimensional point cloud data, including operations such as denoising and filtering, to improve the quality of the point cloud data. According to the characteristics of the point cloud data, adopt a point cloud segmentation algorithm to divide the point cloud data into different categories such as terrain, vegetation, buildings, transmission towers, conductors and / or ground wires, insulators, fittings, foundations, lightning arresters, and auxiliary facilities. For the segmented point cloud of line facilities, adopt a point cloud fitting algorithm to construct a three-dimensional geometric model of the line facilities. Integrate the constructed three-dimensional geometric model of the line facilities with the segmented point clouds of environmental elements such as terrain, vegetation, and buildings to obtain a three-dimensional scene integrating the line corridor environment and the body. Adopt texture mapping technology to add realistic textures to the integrated three-dimensional scene, improving the authenticity and visualization effect of the scene. Convert the integrated three-dimensional scene data into a common three-dimensional data format, such as OBJ, FBX, etc., for easy application in different software platforms. Load the integrated three-dimensional scene data in a three-dimensional GIS platform to realize the visual display and interactive operation of the twin body of the line corridor environment and the body. Based on the integrated twin body, carry out three-dimensional visualization management of transmission lines, including applications such as three-dimensional measurement, spatial analysis, and operation and maintenance simulation, to improve the refined management level of transmission lines.

[0079] S204, use a laser point cloud model to fit the three-dimensional geometric model of the transmission line, and check the accuracy of the three-dimensional geometric model of the transmission line, especially the key connection points; according to the check results, adjust the insulator length, the hanging point positions of the conductors and / or ground wires, the lowest points of the conductors and / or ground wires, and the profile curves of the conductors and / or ground wires;

[0080] The actual 3D point cloud data of the overhead line is obtained by using laser scanning technology, and the actual 3D geometric model of the overhead line is generated by fitting the point cloud data. The designed 3D geometric model of the overhead line is compared with the actual 3D geometric model to obtain the coordinates of the key connection points of the two models. The spatial coordinate deviation of the key connection points between the designed model and the actual model is calculated. If the deviation exceeds the threshold, it is determined that the coordinates of the key connection points are inaccurate. According to the coordinate deviation of the key connection points, the insulator length parameter in the 3D geometric model of the overhead line is adjusted by an optimization algorithm to make the adjusted insulator length closer to the actual value. According to the actual connection position of the conductor and the tower, the hanging point position parameters of the conductor and / or ground wire in the 3D geometric model of the overhead line are adjusted through spatial coordinate transformation to make them consistent with the actual hanging point position. The elevation value of the 3D point cloud data of the conductor is obtained, the lowest point elevation of the conductor is determined, and it is used as the lowest point parameter of the conductor in the 3D geometric model of the overhead line. Based on the 3D point cloud data of the conductor, the spline curve fitting method is used to generate the conductor shape curve, and the conductor shape curve in the 3D geometric model of the overhead line is updated with this curve. The parameters such as the adjusted insulator length, the hanging point position of the conductor and / or ground wire, the lowest point elevation of the conductor, and the conductor shape curve are updated into the 3D geometric model of the overhead line to obtain the checked and corrected 3D geometric model of the overhead line. The checked and corrected 3D geometric model of the overhead line is applied to subsequent working condition analyses such as conductor temperature elongation calculation and conductor wind deflection analysis to improve the analysis accuracy. Here, the schematic diagram of the laser point cloud model is as Figure 5 shown.

[0081] Specifically, a terrestrial laser scanner is used to scan the overhead line, and the density of the scanned point cloud is not less than 100 points per square meter. The point cloud data is used to generate a three-dimensional actual model of the line by fitting with the RANSAC algorithm, and the spatial coordinates of key components such as poles, insulators, and conductors are extracted. The line design model and the actual model are rigidly registered in the three-dimensional space, and the coordinate deviations of key connection points such as poles, insulators, and conductor suspension points of the two models are calculated. When the deviation exceeds 5 cm, it is determined that the coordinates of the key points are inaccurate. An optimization algorithm is used to adjust the length of the insulator in the design model with the coordinates of the key points of the actual model as constraints, so that the difference between the insulator length and the actual value is less than 1 cm. Through the rotation transformation matrix, the spatial coordinates of the conductor suspension point in the design model are transformed to the suspension point coordinates of the actual model, and the position of the conductor suspension point is updated. The minimum value of the Z coordinate of the conductor point cloud data is extracted as the elevation of the lowest point of the conductor and updated to the conductor parameters of the design model. The conductor point cloud data is fitted with a three-dimensional B-spline curve to generate a spline curve equation with 100 control points, and this equation is applied to the design model to generate a three-dimensional conductor model consistent with the actual conductor shape. Finally, parameters such as the corrected insulator length, conductor suspension point position, conductor lowest point elevation, and conductor curve equation are updated to the design model to complete the model verification. The verified model can be used for the analysis of conductor temperature elongation. When the ambient temperature rises by 30 °C, the conductor stress increases by 10%, and the line sag increases by 0.5 m.

[0082] S205, based on the calibrated three-dimensional geometric model, the finite element method is used to construct a twin of the internal force analysis of the overhead line for stress simulation analysis, including transmission towers, conductors and / or ground wires, and insulators, where the transmission towers and conductors and / or ground wires adopt beam elements or rod elements, and the insulators adopt rigid body elements;

[0083] According to the calibrated three-dimensional geometric model of the overhead line, the finite element method is used for discretization processing. The transmission tower, conductors and / or ground wires are discretized into beam elements or rod elements, and the insulators are discretized into rigid body elements. According to the actual material parameters of the overhead line, the material properties of each element are set, including elastic modulus, Poisson's ratio, density, etc. According to the actual boundary conditions of the overhead line, constraints and loads are set, including the fixed constraint at the bottom of the transmission tower, the hinge constraint of the conductors and insulators, the self-weight load of the conductors, the wind load, etc. The finite element solver is used to calculate the displacement field and stress field distributions of the overhead line under the set working conditions. The stress nephogram of the transmission tower, conductors and / or ground wires is obtained to judge whether the stress level exceeds the allowable stress of the material. If it exceeds the allowable stress, there is a risk of mechanical and structural damage, and a warning message is generated. The deformation nephogram of the transmission tower, conductors and / or ground wires is obtained to judge whether the deformation exceeds the allowable value. If it exceeds the allowable value, there is a risk of mechanical and structural damage, and a warning message is generated. The force distribution of the insulators is obtained to judge whether the force exceeds the mechanical strength of the insulators. If it exceeds the mechanical strength, there is a risk of mechanical damage, and a warning message is generated. By establishing the corresponding relationship between the stress and displacement data and the nodes of the overhead line geometric model, the stress nephogram is rendered onto the overhead line geometric model, and the conductor curve is redrawn according to the deformed positions of the nodes. According to the risk warning information, the tower numbers and span ranges that need to be monitored key points are determined, the UAV inspection route is generated, the high-definition image data is obtained, the risk situation is further verified, and the maintenance suggestions are formed.

[0084] Specifically, according to the calibrated three-dimensional geometric model of the overhead line, the tetrahedral elements are used to mesh the transmission tower, conductors and / or ground wires, and the element size is set to 0.1 m. The insulators are discretized by hexahedral elements, and the element size is set to 0.05 m. According to the actual material parameters of the overhead line, the elastic modulus of the Q345 steel for the transmission tower is set to 206 GPa, the Poisson's ratio is 0.3, and the density is 7850 kg / m 3 ; The conductors use ACSR, the equivalent elastic modulus is 65 GPa, the Poisson's ratio is 0.3, and the density is 3300 kg / m 3 ; The insulator material is ceramic, the elastic modulus is 120 GPa, the Poisson's ratio is 0.22, and the density is 2500 kg / m 3According to the actual working conditions, fixed constraints are applied at the bottom of the transmission tower, and the conductors and insulators are connected through hinge constraints. The self-weight of the conductors and the wind load under a wind speed of 100 km / h are considered. The ANSYS finite element solver is used for calculation. The maximum Mises stress of the transmission tower is 150 MPa, which is less than the allowable stress of 345 MPa for Q345 steel; the maximum tensile stress of the conductor is 100 MPa, which is less than the allowable stress of 230 MPa for ACSR; the maximum force on the insulator is 50 kN, which is less than its compressive strength of 100 kN. Through the node mapping relationship, the stress nephogram is rendered into the three-dimensional model of the overhead line. The maximum deformation of the conductor is 2 m, which is less than the design margin of 3 m, meeting the design requirements. According to the calculation results, the numbers of dangerous poles and towers to be monitored key points and the span ranges are determined, the UAV inspection routes are planned, high-definition image data with a resolution of 0.01 m are obtained, the abnormal conditions of the pole and tower components and conductors are further verified, and maintenance suggestions are formed.

[0085] S206, access the meteorological monitoring or forecasting data of the overhead line and the UAV operation data;

[0086] The three-dimensional visualization model in the twin model library is used to match and map the meteorological data and the image data collected by the UAV to generate a three-dimensional visualization scene of the overhead line, visually showing the real-time status information of the overhead line. Based on the mechanism models, physical models, etc. in the simulation model library, combined with the meteorological monitoring data and meteorological forecasting data, the state parameters such as the sag of the conductors and the temperature of the conductors of the overhead line are simulated and calculated to judge the safe operation status of the overhead line under severe meteorological conditions. According to the simulation analysis results, combined with the defect hidden dangers of the overhead line found by the UAV inspection, the data-driven model and the rule model are used to comprehensively evaluate the health status of the overhead line, identify the fault risks of the line, generate a line status evaluation report and early warning information, and provide a decision-making basis for line operation and maintenance.

[0087] Specifically, the meteorological monitoring devices deployed on overhead lines can adopt wireless sensor network technology. Each sensor node integrates temperature and humidity sensors, wind speed and direction sensors, etc., and transmits data to the data layer in real time through the Zigbee communication protocol at a transmission frequency of once per minute. The system obtains hourly meteorological forecast data for the next 7 days from the API interface of the Central Meteorological Observatory, including temperature, relative humidity, wind speed, wind direction, etc., with a time granularity of 1 hour. The drone inspection uses a quadcopter drone equipped with a 20-megapixel visible light camera and an infrared thermal imager with 640×512 pixels, and transmits data back in real time through the on-board 4G module with a backhaul bandwidth of 10 Mbps. The flight control of the drone adopts the PID control algorithm, autonomously plans the flight path according to differential GPS positioning and the three-dimensional model of the overhead line, with a flight speed of 5 m / s and a hover time at waypoints of 5 seconds. The data layer uses the Hadoop Distributed File System HDFS to store multi-source heterogeneous data, and performs data cleaning and fusion through the MapReduce parallel processing framework to generate a unified HBase database. The three-dimensional visualization model is implemented through the Cesium open-source framework, and the meteorological data and drone images are matched through spatial coordinates to generate a realistic three-dimensional visualization scene. The simulation analysis is based on the finite element method, and the ANSYS software is used to calculate the conductor sag and conductor temperature, with a calculation time step of 10 minutes. The condition assessment adopts the support vector machine SVM algorithm, combines characteristic parameters such as conductor material properties, meteorological conditions, defect hazards, etc., trains a classification model, discriminates the health status of the line, and generates a line status score and a warning level.

[0088] Specifically, in step S3, when there are risks in the overhead line, the pre-constructed digital twin system is used to issue warning information, including:

[0089] S301. For strong wind and heavy ice weather, based on wind speed, wind direction or icing data, a simulation model is used to calculate the stress and displacement of the conductor, render the stress nephogram to the overhead line geometric model according to the node correspondence relationship, and at the same time identify the spatial positions of node displacements at each moment, connect the lines according to the original node connection relationship, depict the motion and stress state of the overhead line, and judge whether there are risks of mechanical and structural damage; as Figure 6 shown, it is the twin state of the overhead line under strong wind.

[0090] According to the meteorological monitoring or forecasting data of overhead lines, obtain the wind speed, wind direction or ice coating data under strong wind and heavy ice weather, and use them as the input parameters of the simulation model. The twin of the internal force analysis of the overhead line constructed by the finite element method includes beam element, rod element or rigid body element models of components such as transmission towers, conductors and / or ground wires, and insulators, which serves as the basic model for simulation analysis. Load the wind speed, wind direction or ice coating data into the internal force analysis twin, and calculate the stress distribution and node displacement of the conductor under external forces through the simulation model. Using the node correspondence relationship, render the calculated conductor stress nephogram into the geometric twin model of the overhead line to visually display the stress state of the conductor. By identifying the spatial displacement of the nodes in the internal force analysis twin at each moment and reconnecting the lines according to the original node topology connection relationship, dynamically depict the movement and force change process of the overhead line under external forces. According to the calculation results of the conductor stress and node displacement, judge whether the conductor stress exceeds the allowable stress of the material and whether the node displacement exceeds the safety threshold, so as to evaluate whether there is a risk of mechanical and structural damage to the overhead line. If a risk is identified, the digital twin system automatically issues a warning message to prompt relevant personnel to take measures. According to the warning message, the digital twin platform automatically generates a UAV flight path to guide the UAV to conduct refined inspections on the risky line and upload the photos taken at the risky points in real time. Analyze the inspection photos through artificial intelligence algorithms, identify the type and severity of the defects in the photos, and combine with the simulation analysis results to automatically generate corresponding maintenance suggestions to guide subsequent operation and maintenance work.

[0091] Specifically, the overhead line meteorological monitoring system collects data every 10 minutes and obtains meteorological parameters such as the average wind speed of 20 m / s, the wind direction of 45 degrees northeast, and the ice coating thickness of 10 mm in a certain area. Input these parameters into the finite element analysis model of the overhead line constructed based on ANSYS software, where the transmission tower uses beam elements, the conductor uses cable elements, and the insulator uses rigid body elements. Through static analysis, it is obtained that under this wind speed, wind direction and ice coating thickness, the maximum stress of the conductor is 120 MPa and the maximum deflection is 5 m, which appears in the middle of the span section. Render the stress nephogram and the deformed conductor curve into the three-dimensional visualization model in real time. By identifying the color of the stress nephogram and judging the shape of the conductor curve, it is found that the conductor stress exceeds the allowable stress of 100 MPa, and the deflection is close to the limit value of the conductor-to-ground distance of 6 m, there is a risk of conductor strand breakage and grounding. The system automatically pushes a warning message of "There is a risk of wire breakage on a certain line" to the mobile APP of the operation and maintenance personnel. The platform plans a UAV inspection flight path according to the line geographical information to guide the UAV to conduct refined inspections on this line. The UAV carries a high-definition camera to take pictures of the ice coating and sag of the conductor, analyzes the ice coating thickness and conductor sag through image recognition technology, and combines with the meteorological data and simulation analysis results to generate a maintenance suggestion of "It is recommended to send personnel to the site for de-icing operations within 2 hours" and notify relevant personnel to carry out subsequent operations according to the requirements.

[0092] S302. For the risk assessment of important intersections and crossings in high-temperature weather, based on temperature data, use the high-temperature conductor sag formula to calculate the sag length. Use the catenary approximation method to re-draw the conductor curve of the geometric twin of the overhead line. Calculate the spatial shortest distance between the conductor and the laser point cloud model of the crossed object using the Euclidean distance, and determine whether there is a risk of intersection and crossing. As Figure 7 shown is the twin state of the overhead line under the action of high temperature.

[0093] Access the meteorological monitoring or forecasting data of the overhead line to obtain the temperature data in high-temperature weather. According to the temperature data, use the high-temperature conductor sag formula to calculate the sag length of the conductor under high-temperature conditions. Obtain the laser point cloud model of the crossed object through the integrated twin of the line corridor environment and the body constructed by tilt photography or laser scanning technology. According to the calculated sag length, use the catenary approximation method to re-draw the conductor curve of the geometric twin of the overhead line. Analyze the spatial position relationship between the re-drawn conductor curve and the laser point cloud model of the crossed object, and calculate the Euclidean distance between the conductor and the crossed object. Obtain the spatial shortest distance between the conductor and the crossed object, and compare it with the safety distance threshold. If the shortest distance is less than the safety distance threshold, it is determined that there is a risk of intersection and crossing, and a risk warning message is generated; if the shortest distance is greater than or equal to the safety distance threshold, it is determined that there is no risk of intersection and crossing. According to the warning situation, the digital twin platform automatically conducts UAV flight path planning, conducts refined UAV inspections on the span of the risk line, and transmits back the photos taken at the risk points. Through artificial intelligence image recognition technology, analyze the transmitted-back photos, confirm the risk situation, and generate corresponding maintenance suggestions to provide decision-making support for subsequent line operation and maintenance.

[0094] Specifically, temperature data of high-temperature weather is obtained through a meteorological monitoring system, such as 35°C. According to the high-temperature conductor sag formula in IEEE738-2012 standard, the sag length of LGJ-240 / 30 type conductor under the condition of 35°C is calculated to be 5.2 meters. A drone is used to carry an oblique photography camera to collect data on the line corridor, and a laser point cloud model of the crossing object is obtained, with the point cloud density not less than 100 points per square meter. The calculated sag length is substituted into the catenary equation, and the least squares method is used to fit the conductor curve equation, and the conductor curve of the geometric twin of the overhead line is redrawn. The spatial index of the conductor curve and the point cloud model of the crossing object is established through the octree algorithm, and the Euclidean distance between the conductor and the crossing object is searched using the KD tree algorithm, and the shortest distance is obtained as 3.5 meters. The shortest distance is compared with the safety threshold of the crossing distance specified in the national standard GB 50545-2010, which is 4.5 meters. If there is a crossing risk, a warning message is generated. S303, through research and judgment, for the tower positions with risks, the digital twin system issues warning messages; according to the warning situation, the platform conducts drone flight planning, conducts refined drone inspections on the lines with risk spans, transmits back the photos taken at the risk points, and verifies the photos to confirm the risk situation and generate maintenance suggestions.

[0095] Obtain the warning messages issued by the digital twin system. According to the warning situation, the platform conducts drone flight planning and generates the drone inspection route for the lines with risk spans. The drone planning route is as Figure 8 shown. The drone conducts refined inspections on the risk lines according to the planned route and obtains high-definition photos of the risk points. The drone transmits back the photos taken at the risk points to the digital twin platform. The digital twin platform receives the photos transmitted back by the drone and automatically verifies the photos through image recognition technology to confirm the risk situation. According to the risk confirmation situation, the digital twin platform automatically generates corresponding maintenance suggestions for the reference of the operation and maintenance personnel.

[0096] Specifically, the platform automatically plans and generates a refined drone inspection route according to the warning message. The drone is equipped with a high-definition camera and conducts close-range and low-speed inspections on the risk line segments, obtains 1-cm resolution photos of the risk points and transmits them back to the digital twin platform. After receiving the photos, the platform uses an image segmentation algorithm to automatically identify risk features such as conductor sag and tree coverage in the photos, confirms that the risk situation is true, and automatically generates maintenance suggestions such as replacing insulators and trimming trees, and pushes them to the operation and maintenance personnel terminal.

[0097] Through data-driven and dynamic simulation, the present invention realizes "pre-warning based on predicted data, in-process perception based on monitoring data, and post-event assessment based on post-disaster reports", supports risk control of overhead line wind damage, ice damage, tree obstacles, important crossings, etc., is closely related to line operation and maintenance, inspection operations, and has a broad expected application prospect.

[0098] Embodiment 2:

[0099] To implement the overhead line status evaluation method based on digital twin technology in the above embodiment, this embodiment provides an overhead line status evaluation device based on digital twin technology, including:

[0100] An acquisition module, configured to extract meteorological data affecting the conductor from the overhead line meteorological monitoring data;

[0101] A risk determination module, configured to calculate and determine whether there is a risk in the overhead line by using a pre-constructed digital twin system based on the meteorological data;

[0102] An early warning module, configured to issue an early warning message by using a pre-constructed digital twin system when there is a risk in the overhead line;

[0103] The digital twin system is used to construct a geometric model of the transmission line based on the outer contour of the overhead line and the overhead line corridor environment.

[0104] This embodiment further includes a digital twin system construction module, configured to:

[0105] Based on high-precision modeling technology, construct a geometric twin of the outer contour of the overhead line body; wherein the overhead line body includes: transmission towers, insulators, fittings, foundations, lightning arresters, auxiliary facilities, and conductors and / or ground wires connected between each node with each insulator as a node;

[0106] Adopt oblique photography or laser scanning technology to combine the line corridor environment with the overhead line body to obtain an integrated twin;

[0107] Load the geometric twin of the outer contour of the overhead line body and the line corridor environment into a 3D GIS system to obtain a 3D geometric model of the transmission line;

[0108] Adopt a laser point cloud model to fit the 3D geometric model of the transmission line, and calibrate the 3D geometric model of the transmission line;

[0109] Based on the calibrated 3D geometric model of the transmission line, adopt the finite element method to construct an internal force analysis twin of the overhead line for stress simulation analysis; wherein the internal force analysis twin of the overhead line includes: transmission towers, conductors, ground wires, insulators;

[0110] Construct a digital twin system based on the 3D geometric model of the transmission line, the integrated twin, and the internal force analysis twin of the overhead line.

[0111] Furthermore, the meteorological monitoring data in this embodiment includes: based on overhead line meteorological monitoring data, weather forecast data, or unmanned aerial vehicle operation data, etc.

[0112] Further, the risk determination module includes: a damage risk determination sub-module and a crosspoint risk determination sub-module.

[0113] Among them, the damage risk determination sub-module includes: a first judgment unit and a first determination unit;

[0114] The first judgment unit is used to determine whether there is strong wind or repeated icing in the meteorological data affecting the conductor;

[0115] The first determination unit is used for: when there is strong wind or repeated icing in the meteorological data affecting the conductor, calculating the stress and displacement of the conductor between each node by using the digital twin system based on wind speed, wind direction or icing data, so as to determine whether there is a damage risk to the line.

[0116] Further, the first determination unit is specifically used for: when there is strong wind or repeated icing in the meteorological data affecting the conductor:

[0117] Based on wind speed, wind direction or icing data, perform simulation calculations to obtain the stress and displacement of the conductor between each node in the overhead line, and obtain a stress nephogram;

[0118] Render the stress nephogram to the three-dimensional geometric model of the overhead line according to the node correspondence relationship, and at the same time identify the spatial position points of the node displacement moment by moment, connect the lines according to the original node connection relationship, and depict the movement and stress state of the overhead line;

[0119] Judge whether there is a risk of mechanical and structural damage according to the movement and stress state of the overhead line.

[0120] Further, the crosspoint risk determination sub-module includes: a second judgment unit and a second determination unit;

[0121] The second judgment unit is used for: determining whether there is a high temperature situation in the gas data affecting the conductor.

[0122] The second determination unit is used for: when there is a high temperature situation in the gas data affecting the conductor, determining the conductor information of each node by using the digital twin system based on the temperature data, and judging whether there is a crosspoint risk to the line according to the spatial shortest distance between the conductor and the laser point cloud model of the object being crosspassed.

[0123] Further, the second determination unit is used for: when there is a high temperature situation in the gas data affecting the conductor:

[0124] Based on the temperature data, use the high-temperature conductor sag formula to calculate the sag length of the conductor between each node;

[0125] Based on the calculated sag length of the conductor between each node, use the catenary approximate shape-finding method to redraw the conductor curve of the geometric twin of the overhead line body outline;

[0126] Calculate the shortest spatial distance between the redrawn conductor and the laser point cloud model of the crossed object using the Euclidean distance to determine whether there is a significant crossing risk in high-temperature weather.

[0127] Furthermore, the warning module is specifically used for:

[0128] Through research and judgment, for the tower positions corresponding to the conductors with risks, use the digital twin system to issue warning information.

[0129] Furthermore, this embodiment further includes a maintenance suggestion generation module; the maintenance suggestion generation module is executed after the warning module is executed and is used for:

[0130] According to the warning situation, the platform conducts UAV flight planning, conducts refined UAV inspections on the risk span lines, and transmits back the photos taken at the risk points:

[0131] Based on the taken photos, confirm the risk situation and generate maintenance suggestions.

[0132] Embodiment 3:

[0133] Based on the same inventive concept, the present invention also provides an overhead line state evaluation system based on digital twin technology for implementing an overhead line state evaluation method based on digital twin technology in the above embodiments of the present invention. The system includes a basic end, a model layer, a data layer, an analysis layer, and an application end, as shown in Figure 9 .

[0134] Among them, at the basic end, intensive management of entity devices such as line bodies, sensing devices, monitoring devices, and UAVs is realized.

[0135] Among them, in the model layer, a twin model library is established and stored, for example: a twin model library such as a three-dimensional visualization model and a simulation model.

[0136] Among them, in the data layer, databases and data sets such as data collected by entity devices, calculation result data using twin models, operation data, monitoring data, externally shared data by systems, historical fault data, line body data, calculation result data of twin models, and warning data are constructed and stored.

[0137] Among them, in the analysis layer, a simulation model with mechanism models, physical models, and geometric models as the core is established, and models such as data-driven models, empirical models, and rule models are integrated to perform simulation analysis on the data collected by entity devices in combination with preset rules to determine whether there are risks in the overhead line, so as to support the simulation analysis of the overhead line state.

[0138] Among them, at the application side, based on the basic side, data layer and analysis layer, basic functions such as dynamic management of the entire life cycle of equipment, risk assessment of strong wind, heavy ice coating, and important cross-span, disaster warning, and maintenance strategy support are realized.

[0139] For the functions implemented by each specific module, reference can be made to the above embodiments, which will not be elaborated here.

[0140] Embodiment 4

[0141] As Figure 10 shown, the present invention also provides an electronic device, which may be a computer device, a single-chip microcomputer device, a smart mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, the processor, and the transceiver component are connected through a bus; the memory can be used to store an execution program, and an exemplary execution program may include instructions; the processor is used to execute the instructions stored in the memory. The memory can also be used to store data, and this data can be called and / or modified when the instructions are executed.

[0142] The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of a method for evaluating the state of an overhead line based on digital twin technology provided by the present invention in the above embodiments.

[0143] Embodiment 5

[0144] Based on the same inventive concept, the present invention also provides a readable storage medium, specifically an electronic device-readable storage medium (Memory). The electronic device-readable storage medium is a memory device in the electronic device and is used to store programs and data. It can be understood that the storage medium here can include both the built-in storage medium in the electronic device and, of course, the extended storage medium supported by the electronic device. The storage medium provides a storage space, and this storage space stores the operating system of the terminal. And, in this storage space, there is also stored one or more instructions suitable for being loaded and executed by the processor. These instructions can be one or more execution programs (including program code). It should be noted that the storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. By the processor loading and executing one or more instructions stored in the storage medium, the steps of the method for evaluating the state of an overhead line based on digital twin technology provided in the above embodiments of the present invention can be implemented.

[0145] Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0146] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0147] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0148] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one or more of the processes and / or blocks Figure 1 in one or more of the processes and / or blocks Figure 1 specified in the flowchart.

[0149] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more of the processes and / or blocks Figure 1 in one or more of the processes and / or blocks Figure 1 specified in the flowchart.

[0150] The above are only embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included within the scope of the claims of the present invention pending approval of the application.

Claims

1. A method for evaluating the status of overhead lines based on digital twin technology, characterized in that: include: Extract meteorological data that have an impact on conductors from meteorological monitoring data of overhead lines; Based on the meteorological data, a pre-built digital twin system is used to calculate and determine whether there is a risk to the overhead line; When there is a risk to overhead lines, early warning information is issued using the pre-built digital twin system; The digital twin system is used to construct a geometric model of the transmission line based on the outer contour of the overhead line and the overhead line corridor environment.

2. The evaluation method according to claim 1, characterized in that: The digital twin system is constructed as follows: Based on high-precision modeling technology, a geometric twin of the outer contour of the overhead line body is constructed; wherein the overhead line body includes: transmission towers, insulators, hardware, foundations, lightning arresters, ancillary facilities, and conductors and / or ground wires connected between nodes with each insulator as a node; Adopting oblique photography or laser scanning technology to combine the line corridor environment with the overhead line body to obtain an integrated twin; Load the outer contour geometric twin of the overhead line body and the line corridor environment into the 3D GIS system to obtain the 3D geometric model of the transmission line; Using a laser point cloud model to fit a three-dimensional geometric model of a power transmission line, and calibrating the three-dimensional geometric model of the power transmission line; Based on the calibrated three-dimensional geometric model of the transmission line, the finite element method is used to construct an overhead line internal force analysis twin for force simulation analysis; wherein the overhead line internal force analysis twin includes: a transmission tower, a conductor, a ground wire, and an insulator; A digital twin system is constructed based on the three-dimensional geometric model of the transmission line, the integrated twin and the empty line internal force analysis twin.

3. The evaluation method according to claim 2, characterized in that: The meteorological monitoring data includes: meteorological monitoring data based on overhead lines, weather forecast data or drone operation data; The method of calculating and determining whether there is a risk of an overhead line by using a pre-built digital twin system based on the meteorological data includes: When there is strong wind or heavy icing in the meteorological data that affects the conductors; the stress and displacement of the conductors between the nodes are calculated using the digital twin system based on the wind speed, wind direction or icing data to determine whether there is a risk of damage to the line; When high temperature exists in the gas data that affects the conductor, the digital twin system is used to determine the conductor information of each node based on the temperature data, and judge whether there is a crossing risk of the line according to the shortest spatial distance between the conductor and the laser point cloud model of the crossed object.

4. The evaluation method according to claim 3, characterized in that: The method of calculating the stress and displacement of the conductor using the digital twin system based on wind speed, wind direction or ice cover data to determine whether there is a risk of damage to the overhead line includes: Based on wind speed, wind direction or ice cover data, simulation calculation is performed to obtain the stress and displacement of the conductors between each node in the overhead line and obtain the stress cloud map; Render the stress cloud map to the 3D geometric model of the overhead line according to the corresponding relationship of the nodes, identify the spatial position of the node displacement moment by moment, connect the lines according to the original node connection relationship, and depict the movement and stress state of the overhead line; Determine whether there is a risk of mechanical or structural damage based on the movement and stress state of the overhead lines.

5. The evaluation method according to claim 3, characterized in that: The method of determining the conductor information by using the digital twin system based on the temperature data, and judging whether there is a crossing risk of the line according to the shortest spatial distance between the conductor and the laser point cloud model of the crossed object, includes: Based on the temperature data, the high temperature conductor sag formula is used to calculate the sag length of the conductor between each node; Based on the calculated sag length of the conductor between each node, the catenary approximate shape-finding method is used to redraw the conductor curve of the outer contour geometric twin of the overhead line body; The Euclidean distance is used to calculate the shortest spatial distance between the redrawn conductor and the laser point cloud model of the object being crossed to determine whether there is a risk of important crossings in high temperature weather.

6. The evaluation method according to claim 1, characterized in that: The use of a pre-built digital twin system to issue early warning information includes: Through analysis and judgment, the digital twin system is used to issue early warning information for the tower locations corresponding to the risky conductors.

7. The evaluation method according to claim 1, characterized in that: After the pre-built digital twin system is used to issue warning information, the method further includes: According to the early warning situation, the platform carries out drone flight planning, conducts detailed drone inspections on risky routes, and sends back photos of risky points: Based on the photos taken, risk situations are identified and maintenance recommendations are generated.

8. An overhead line status assessment device based on digital twin technology, characterized in that: include: An acquisition module is used to extract meteorological data that has an impact on the conductor from the meteorological monitoring data of the overhead line; A risk determination module, used to determine whether there is a risk of the overhead line by calculating based on the meteorological data using a pre-built digital twin system; The early warning module is used to issue early warning information using the pre-built digital twin system when there is a risk in the overhead line; The digital twin system is used to construct a geometric model of the transmission line based on the outer contour of the overhead line and the overhead line corridor environment.

9. An overhead line status assessment system based on digital twin technology, characterized in that: include: Basic end, model layer, data layer, analysis layer and application end; The basic end is used to manage physical devices; The model layer is used to establish and store a twin model library; The data layer is used to store data collected by physical devices, data calculated using the twin model, operation data, monitoring data, external system shared data, historical fault data, line body data, twin model calculation result data, and early warning data; The analysis layer is used to: perform simulation analysis on the state of the power transmission line based on the data collected by the physical equipment of each model in combination with pre-set rules to determine whether there is a risk in the overhead line; The application end is used to evaluate various risks of overhead lines, warn of disasters that occur, and maintain maintenance strategies based on the basic end, data layer, and analysis layer.

10. The system according to claim 9, characterized in that The physical equipment includes: a line body, a sensing device, a monitoring device, and a drone; The twin model library includes: a geometric model of a transmission line, an outer contour geometric twin of an overhead line body, an integrated twin, and a three-dimensional geometric model of a transmission line; The pre-set rules include: pre-built data-driven models, experience models and rule models.

11. An electronic device, characterized in that: include: at least one processor and memory; The memory and the processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, an overhead line status assessment method based on digital twin technology as described in any one of claims 1 to 7 is implemented.

12. A readable storage medium, characterized in that: An execution program is stored thereon, and when the execution program is executed, an overhead line status assessment method based on digital twin technology as described in any one of claims 1 to 7 is implemented.

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