Star flash and 5G fusion-based power transmission line distributed state monitoring system

Abstract

The invention discloses a power transmission line distributed state monitoring system based on star flash and 5G fusion, which comprises distributed monitoring nodes, a star flash-5G fusion communication module, an unmanned aerial vehicle mobile relay platform, an edge computing node and a cloud management platform, and all parts realize omnibearing monitoring of the state of a power transmission line through cooperative communication and data interaction. Star flash and 5G fusion communication are combined with unmanned aerial vehicle relay blind compensation, the communication coverage rate under the complex terrain is larger than or equal to 99%, the data transmission success rate is larger than or equal to 99.9%, and the blind area problem of a traditional single communication mode is solved; the limitation of traditional environment-friendly parameter monitoring is broken through, multi-dimensional cooperative sensing of the operation state and the environment parameters of the power transmission line is achieved, and full-life-cycle operation and maintenance are supported.

Description

Technical Field

[0001] This invention relates to the field of power transmission line monitoring technology, and in particular to a distributed condition monitoring system for power transmission lines based on the integration of Star Flash and 5G. Background Technology

[0002] With the advancement of new power system construction, transmission lines, as the core channels for energy transmission, are directly related to the safety and stability of the power grid. Currently, transmission line monitoring mainly faces the following technical bottlenecks:

[0003] Insufficient communication reliability: Existing monitoring systems mostly rely on single 4G / Wi-Fi communication, which has problems such as signal coverage blind spots or large transmission delays and high packet loss rates in complex terrains such as mountainous areas and areas spanning rivers and lakes; some distributed monitoring nodes cannot achieve effective data back transmission due to long distances and severe obstruction.

[0004] Single monitoring dimension: Traditional systems focus on monitoring environmental parameters such as electromagnetic radiation and noise, lacking comprehensive perception of the core operating status of transmission lines (such as conductor temperature, ice thickness, tower tilt, and insulator pollution), making it difficult to support fault early warning and condition-based maintenance.

[0005] Low data processing efficiency: Massive amounts of monitoring data are directly uploaded to the cloud, resulting in high bandwidth consumption and concentrated cloud computing power pressure, making it impossible to achieve real-time response and rapid handling of abnormal data.

[0006] Poor distributed collaboration: Most existing monitoring nodes operate independently, lacking close-range collaborative sensing and data interaction between nodes, making it difficult to accurately locate fault points and perform overall status correlation analysis.

[0007] Weak adaptability to extreme environments: Single communication methods are prone to failure under extreme conditions such as strong electromagnetic interference, low temperature, and heavy rain. Furthermore, traditional monitoring equipment lacks a flexible relay and blind spot compensation mechanism, leading to monitoring interruptions.

[0008] Starlight technology, a short-range wireless communication technology independently developed in my country, boasts advantages such as low latency (millisecond level), high reliability (transmission success rate ≥99.99%), and strong anti-interference capabilities, making it suitable for short-range collaborative communication between devices. 5G technology, on the other hand, features wide coverage, high bandwidth, and broad connectivity, meeting the demands of long-distance, high-volume data transmission. Integrating these two technologies for distributed monitoring of power transmission lines can overcome the shortcomings of single communication technologies. By combining distributed node deployment, edge computing, and UAV relay for blind spot coverage, a comprehensive, real-time intelligent monitoring system can be built, representing a key path to solving current technological bottlenecks. Summary of the Invention

[0009] The purpose of this invention is to overcome the shortcomings of existing technologies and propose a distributed status monitoring system for power transmission lines based on the integration of star flash and 5G.

[0010] To achieve the above objectives, the present invention adopts the following technical solution:

[0011] The distributed status monitoring system for power transmission lines based on the integration of StarSignal and 5G includes distributed monitoring nodes, StarSignal-5G converged communication modules, UAV mobile relay platforms, edge computing nodes, and cloud management platforms. Each part achieves comprehensive monitoring of the status of power transmission lines through collaborative communication and data interaction.

[0012] The distributed monitoring nodes are deployed in a three-dimensional layout of "tower-conductor-insulator". Each node has a built-in multi-parameter sensor group, a local data cache unit and a star-flash communication submodule. It can independently complete data acquisition, local preprocessing and short-range collaborative communication. The distributed monitoring nodes adopt modular packaging, with a total weight of ≤2.5kg, a protection level of IP67, and are suitable for extreme working environments of -40℃ to 85℃.

[0013] The StarShine-5G converged communication module integrates the StarShine master station chip, 5G communication module and communication switching controller, and is deployed at key monitoring nodes and UAV mobile relay platforms. It is responsible for StarShine networking communication between distributed monitoring nodes and 5G long-distance transmission of data to the cloud management platform, realizing intelligent switching and redundant backup of communication links.

[0014] The UAV mobile relay platform is equipped with a StarFlash-5G converged communication module, an edge computing unit, and a high-precision positioning module. It can autonomously fly to signal blind spots or weak signal areas based on preset routes or communication quality feedback to build temporary communication relay links.

[0015] The edge computing nodes are deployed in the center of the distributed monitoring node cluster or the UAV mobile relay platform, and integrate data preprocessing algorithms, anomaly identification models and node collaborative scheduling logic. They are responsible for real-time filtering, compression, feature extraction and anomaly judgment of the collected data.

[0016] The cloud management platform is based on a cloud computing architecture and includes a status monitoring module, a communication scheduling module, a fault early warning module, an operation and maintenance decision-making module, and a historical data mining module. It enables data integration and storage, full-domain status visualization, accurate fault location, operation and maintenance path planning, and long-term trend analysis.

[0017] Preferably, the multi-parameter sensor group includes an electromagnetic radiation sensor, a noise sensor, a conductor state sensor, a structural state sensor, and an environmental auxiliary sensor; the electromagnetic radiation sensor has a frequency range of 1Hz to 400kHz, an electric field range of 0.01V / m to 100kV / m, a magnetic field range of 1nT to 10mT, and an isotropic error of <0.4dB.

[0018] The noise sensor conforms to GB / T3785.1-2023 Class 1 standard, with a measurement range of 20~143dB and a sampling frequency of 48kHz;

[0019] The conductor status sensor includes a temperature sensor and an ice thickness sensor. The temperature sensor has a range of -50℃ to 150℃ and a measurement accuracy of ±0.5℃. The ice thickness sensor has a measurement range of 0 to 100mm and an accuracy of ±1mm.

[0020] The structural status sensor includes a tower tilt sensor and an insulator pollution sensor. The tower tilt angle measurement range is ±30° with an accuracy of ±0.1°. The surface conductivity measurement range of the insulator pollution sensor is 0~1000μS / cm.

[0021] The environmental auxiliary sensors include a temperature and humidity sensor and a wind speed sensor. The temperature measurement range is -40℃ to 85℃, the humidity measurement range is 0 to 100%RH, the wind speed measurement range is 0 to 60m / s, and the accuracy is ±0.3m / s.

[0022] Preferably, the local data cache unit has a built-in 8GB flash memory, which supports offline storage of continuous monitoring data for ≥7 days, and automatically retransmits the data after communication is restored;

[0023] The StarScan communication submodule supports the StarScan 1.0 protocol, with a communication distance of 0~500m, a transmission rate of ≥100Mbps, a latency of ≤10ms, and supports multi-node self-organizing networking.

[0024] Preferably, the communication link switching logic of the StarSpark-5G converged communication module is as follows: a built-in signal quality monitoring unit is used to detect the 5G signal strength (RSRP) and StarSpark link communication quality (packet loss rate, latency) in real time.

[0025] When the 5G signal RSRP≥-105dBm, the “Star Flash Networking + 5G Backhaul” mode is adopted. The distributed monitoring nodes aggregate the data to the cluster center node through the Star Flash self-organizing network, and then upload it to the cloud management platform through the 5G module.

[0026] When the 5G signal RSRP < -105dBm, the drone mobile relay platform is automatically triggered to call. After the drone mobile relay platform flies to the designated airspace, it receives data from the distributed monitoring nodes through the Starlink link and then transmits it back to the cloud management platform through its own 5G module.

[0027] Preferably, the StarShine-5G converged communication module adopts a differentiated data transmission priority scheduling strategy: fault data, including data on excessive icing thickness, excessive tower tilt, and abnormal conductor temperature, has the highest priority and is transmitted directly via the StarShine link + 5G expedited transmission, with a latency of ≤50ms;

[0028] Routine monitoring data is transmitted in a time-slice polling manner; non-critical environmental data is transmitted after being compressed by edge computing nodes, with a compression ratio of ≥10:1.

[0029] Preferably, the UAV mobile relay platform is an industrial-grade multi-rotor UAV with a maximum payload of ≥8kg, a flight time of ≥120 minutes, RTK high-precision positioning function, horizontal positioning accuracy of 1cm+1ppm, vertical positioning accuracy of 1.5cm+1ppm, and autonomous obstacle avoidance function.

[0030] The StarScan-5G converged communication module on the UAV mobile relay platform is compatible with the StarScan communication sub-module of the distributed monitoring node, and supports simultaneous access to ≥30 distributed monitoring nodes.

[0031] The edge computing unit is equipped with an ARM Cortex-A76 processor, which supports real-time execution of abnormal data identification algorithms;

[0032] The UAV mobile relay platform also includes a relay scheduling module, which receives communication requests from the cloud management platform or distributed monitoring nodes, autonomously plans relay flight paths based on the power transmission line GIS map, and achieves optimal relay location selection for multi-node coverage.

[0033] Preferably, the lightweight algorithm model built into the edge computing node includes a data cleaning algorithm, an anomaly detection model, and a data compression algorithm;

[0034] The data cleaning algorithm is used to remove sensor outliers, including outlier data and abrupt changes in data. The moving average method is used to smooth the data.

[0035] The anomaly identification model is based on the threshold method and the random forest machine learning model. It determines in real time whether each monitoring parameter exceeds the safety threshold and generates anomaly warning information.

[0036] The data compression algorithm combines lossless and lossy compression, using the LZ77 compression algorithm for regular data and the wavelet transform compression algorithm for waveform data.

[0037] Preferably, the status monitoring module of the cloud management platform is used to integrate the preprocessed data uploaded by the edge computing nodes and display the electromagnetic radiation, noise, conductor temperature, ice thickness, tower tilt angle, insulator pollution degree, and ambient temperature, humidity and wind speed data of the entire transmission line in the form of visual charts. It supports data filtering and viewing by monitoring node and time dimension.

[0038] The communication scheduling module is used to monitor the communication quality of the Starlink and 5G link in real time, adjust the communication mode according to the signal strength feedback, and send relay call command and path planning command to the UAV mobile relay platform.

[0039] The fault early warning module determines the fault type and precise location based on the abnormal information uploaded by the edge computing node and combined with the global status correlation analysis. The fault point location error is ≤5m, and the early warning information is sent to the operation and maintenance personnel via SMS and APP push.

[0040] The operation and maintenance decision module automatically generates the optimal operation and maintenance path and handling plan based on the fault type, location and power grid operation status;

[0041] The historical data mining module constructs an LSTM time-series prediction model based on historical monitoring data to predict the trend of icing growth and insulator pollution accumulation, and issues early warnings 3 to 7 days in advance.

[0042] The beneficial effects of this invention are:

[0043] Significantly improved communication reliability: The combination of StarSignal and 5G converged communication with drone relay to fill blind spots achieves a communication coverage rate of ≥99% and a data transmission success rate of ≥99.9% in complex terrain, solving the blind spot problem of traditional single communication methods;

[0044] Comprehensive monitoring dimensions: Breaking through the limitations of traditional environmental parameter monitoring, it realizes multi-dimensional collaborative perception of the operating status of transmission lines (conductors, towers, insulators) and environmental parameters, supporting operation and maintenance throughout the entire life cycle;

[0045] Enhanced real-time response capability: Edge computing and local preprocessing reduce data transmission latency, abnormal data response time ≤50ms, and fault warning advance is improved by more than 60% compared with traditional systems;

[0046] Operation and maintenance efficiency optimization: Distributed deployment enables comprehensive monitoring without blind spots, and cloud-based intelligent decision-making and path planning improve operation and maintenance efficiency by 3 to 5 times, reducing manual operation and maintenance costs and security risks;

[0047] Highly adaptable: The system has the ability to automatically switch communication links, autonomously relay drones, and autonomously identify anomalies, and can adapt to extreme weather and complex terrain, reducing human intervention. Attached Figure Description

[0048] Figure 1 This is a system diagram of the distributed state monitoring system for power transmission lines based on the integration of star flash and 5G proposed in this invention; Detailed Implementation

[0049] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0050] Combined with appendix Figure 1

[0051] System Deployment

[0052] Distributed monitoring node deployment: Along the 100km high-voltage transmission line, a density of 220 distributed monitoring nodes is deployed, with one tower monitoring node every 2km, one conductor monitoring node every 1km, and one insulator monitoring node every 3 tower levels. Tower monitoring nodes are installed in the upper middle part of the tower (15-20m above the ground), conductor monitoring nodes are fixed to the midpoint of the conductor using clamps, and insulator monitoring nodes are installed on the supports above the insulator strings. All nodes are installed facing an unobstructed direction to ensure the quality of sensor signal reception and satellite communication.

[0053] Cluster center node setup: Each cluster consists of 10 distributed monitoring nodes, with 1 cluster center node set up, for a total of 8 nodes. These nodes are installed on the top of the tower at the center of the cluster and equipped with high-gain 5G antennas to enhance 5G signal reception capabilities.

[0054] Deployment of mobile drone relay platforms: Three drone take-off and landing points are set up along the power transmission line. Two mobile drone relay platforms are deployed at each take-off and landing point, equipped with charging compartments and data receiving equipment. The drones can return to charge and synchronize data autonomously.

[0055] Cloud management platform deployment: Deployed in the State Grid regional operation and maintenance center computer room, using a cloud server cluster (4 8-core 16G servers), equipped with Linux operating system and MySQL database, supporting concurrent data access and processing of ≥1000 monitoring nodes.

[0056] II. Equipment Selection

[0057] Distributed monitoring nodes:

[0058] Electromagnetic radiation sensor: Beijing Senfu Technology LF-04D triaxial probe was selected;

[0059] Noise sensor: Hangzhou Aiwa AWA6292 multi-functional sound level meter was selected;

[0060] Conductor temperature and icing sensor: The FB-200 fiber optic grating icing temperature integrated sensor from a certain manufacturer was selected;

[0061] Tower tilt sensor: QT-600 dual-axis tilt sensor from a certain manufacturer was selected;

[0062] Insulator pollution level sensor: A WH-500 surface conductivity sensor from a certain manufacturer was selected;

[0063] StarScan Communication Submodule: Selected XFS-100 StarScan 1.0 module from a certain manufacturer;

[0064] Local data cache unit: SD-8G industrial-grade flash memory module from a certain manufacturer.

[0065] StarShine 5G Converged Communication Module: A customized module that integrates the StarShine master station chip and the Huawei ME909S-8215G module, supporting 4G / 5G full network compatibility and the StarShine 1.0 protocol.

[0066] Drone mobile relay platform: The DJI Matrice 600RTK industrial-grade drone is selected, equipped with a customized edge computing unit and a StarFlash-5G converged communication module, and dual battery packs to extend battery life.

[0067] Edge computing node: The EC-200 edge computing gateway from a certain manufacturer is used, with a built-in preset lightweight algorithm model.

[0068] Cloud management platform: Developed based on the Spring Boot framework, with the front end using Vue.js for visualization, integrating GIS map components and data visualization components.

[0069] III. Work Process

[0070] Initialization phase: After all distributed monitoring nodes are powered on, they automatically complete self-organized networking through the StarFlash communication submodule and report their own ID, location information and working status to the cluster center node. The cluster center node summarizes the node information and uploads it to the cloud management platform through the 5G module. The cloud management platform completes node registration and map labeling.

[0071] Data Acquisition and Preprocessing: The multi-parameter sensor group of the distributed monitoring node collects data at a preset frequency (electromagnetic radiation and noise are collected once every 10 seconds, conductor temperature and ice thickness are collected once every 30 seconds, and tower tilt angle and insulator pollution degree are collected once every 1 minute). The local data cache unit temporarily stores the data. After the edge computing node obtains the data through the Starlink, it runs a data cleaning algorithm to remove outliers, and then uses an anomaly identification model to determine whether the data is normal.

[0072] Converged communication transmission: If the 5G signal RSRP of the cluster center node is ≥-105dBm, the distributed node data is aggregated to the cluster center node via the StarSignal network, and then uploaded to the cloud via the 5G module; if the 5G signal RSRP of a cluster center node is <-105dBm, the node automatically sends a relay request to the cloud, the cloud schedules the drone at the nearest take-off and landing point to take off, the drone autonomously flies to the cluster airspace based on the GIS map, receives all node data through the StarSignal link, and after secondary processing by its own edge computing unit, it is transmitted back to the cloud via the 5G module.

[0073] Cloud-based processing and decision-making: After receiving data, the cloud management platform displays the data across the entire domain in the form of line charts and heat maps. If the fault warning module detects anomalies such as ice thickness ≥20mm or tower tilt angle ≥3°, it immediately locates the fault point and sends a warning message. The operation and maintenance decision-making module generates the optimal operation and maintenance path, and the historical data mining module predicts the ice growth trend based on data from the past 3 months.

[0074] Operations and maintenance feedback: Operations and maintenance personnel receive alerts and operations and maintenance plans through the APP, go to the fault point according to the planned path to handle the fault, and enter the results in the APP after the handling is completed. The cloud management platform updates the fault status, forming a closed loop.

[0075] IV. Performance Testing

[0076] After system deployment, a three-month performance test was conducted, and the results showed:

[0077] Communication performance: 99.2% communication coverage in complex mountainous terrain, 99.93% data transmission success rate, and an average latency of 38ms for abnormal data transmission;

[0078] Monitoring accuracy: Electromagnetic radiation measurement error ≤ ±0.3dB, noise measurement error ≤ ±0.5dB, ice thickness measurement error ≤ ±1mm, tower tilt angle measurement error ≤ ±0.1°;

[0079] Operation and maintenance efficiency: The average time for fault location is ≤3 minutes, the operation and maintenance response efficiency is 4 times higher than that of traditional manual monitoring, and the manual operation and maintenance cost is reduced by 60%;

[0080] Extreme environment adaptability: The system operates at 100% normal rate in environments with temperatures as low as -35℃ and wind speeds of 15m / s.

[0081] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A power transmission line distributed state monitoring system based on starburst and 5G fusion, characterized in that, The power transmission line state is monitored in all directions through collaborative communication and data interaction of the distributed monitoring nodes, the Starlink-5G fusion communication module, the unmanned aerial vehicle mobile relay platform, the edge computing node and the cloud management platform. The distributed monitoring nodes are deployed according to the three-dimensional layout of "tower-conductor-insulator", each node is internally provided with a multi-parameter sensor group, a local data cache unit and a Starlink communication submodule, can independently complete data acquisition, local preprocessing and short-distance collaborative communication, and the distributed monitoring nodes are modularly packaged, the total weight is less than or equal to 2.5 kg, the protection level reaches IP67, and the extreme working environment of-40 DEG C to 85 DEG C is adapted. The Starlink-5G fusion communication module integrates a Starlink master station chip, a 5G communication module and a communication switching controller, is deployed on the key monitoring nodes and the unmanned aerial vehicle mobile relay platform, is responsible for Starlink networking communication between the distributed monitoring nodes and 5G long-distance transmission of data to the cloud management platform, and realizes intelligent switching and redundant backup of the communication link. The unmanned aerial vehicle mobile relay platform is provided with a Starlink-5G fusion communication module, an edge computing unit and a high-precision positioning module, can fly to a signal blind area or a weak signal area according to a preset flight route or communication quality feedback, and construct a temporary communication relay link. The edge computing node is deployed on the cluster center of the distributed monitoring nodes or the unmanned aerial vehicle mobile relay platform, integrates a data preprocessing algorithm, an abnormality identification model and node collaborative scheduling logic, and is responsible for real-time filtering, compression, feature extraction and abnormality judgment of the collected data. The cloud management platform is based on a cloud computing architecture, includes a state monitoring module, a communication scheduling module, a fault early warning module, an operation and maintenance decision module and a historical data mining module, and realizes data integration storage, global state visualization, fault accurate positioning, operation and maintenance path planning and long-term trend analysis. 2.The power transmission line distributed state monitoring system based on starlink and 5G fusion according to claim 1, wherein, The multi-parameter sensor group includes an electromagnetic radiation sensor, a noise sensor, a conductor state sensor, a structure state sensor and an environmental auxiliary sensor; the frequency range of the electromagnetic radiation sensor is 1 Hz-400 kHz, the electric field range is 0.01 V / m-100 kV / m, the magnetic field range is 1 nT-10 mT, and the isotropic error is less than 0.4 dB; The noise sensor meets the GB / T3785.1-2023 level 1 standard, the measurement range is 20-143 dB, and the sampling frequency is 48 kHz; The conductor state sensor includes a temperature sensor and an icing thickness sensor, the temperature sensor has a measurement range of-50 DEG C to 150 DEG C and a measurement accuracy of ± 0.5 DEG C, and the icing thickness sensor has a measurement range of 0-100 mm and an accuracy of ± 1 mm; The structure state sensor includes a tower inclination sensor and a insulator contamination degree sensor, the tower inclination angle measurement range is ± 30 DEG, and the accuracy is ± 0.1 DEG, and the surface conductivity measurement range of the insulator contamination degree sensor is 0-1000 mu S / cm. The environmental auxiliary sensor includes a temperature and humidity sensor and a wind speed sensor, the temperature measurement range is -40℃~85℃, the humidity measurement range is 0~100%RH, the wind speed measurement range is 0~60m / s, and the accuracy is ±0.3m / s. 3.The power transmission line distributed state monitoring system based on starlink and 5G fusion according to claim 1, wherein, The local data caching unit is built-in 8GB flash memory, supports offline storage of continuous monitoring data for more than 7 days, and automatically supplements transmission after communication recovery; The star flash communication submodule supports star flash 1.0 protocol, communication distance 0~500m, transmission rate ≥100Mbps, time delay ≤10ms, and supports multi-node self-organizing networking. 4.The power transmission line distributed state monitoring system based on starlink and 5G fusion according to claim 1, wherein, The communication link switching logic of the star flash-5G fusion communication module is: built-in signal quality monitoring unit, real-time detection of 5G signal strength (RSRP) and star flash link communication quality (packet loss rate, time delay); When the 5G signal RSRP≥-105dBm, the "star flash networking + 5G backhaul" mode is adopted, the distributed monitoring nodes are self-organized through star flash networking, the data is aggregated to the cluster center node, and then uploaded to the cloud management platform through the 5G module; When the 5G signal RSRP<-105dBm, the unmanned aerial vehicle mobile relay platform is automatically triggered to call, the unmanned aerial vehicle mobile relay platform flies to the specified airspace, receives the data of the distributed monitoring nodes through the star flash link, and then transmits the data to the cloud management platform through the 5G module. 5.The power transmission line distributed state monitoring system based on starlink and 5G fusion according to claim 1, wherein, The star flash-5G fusion communication module adopts a differentiated data transmission priority scheduling strategy: fault type data includes ice thickness exceeding the standard, tower inclination exceeding the limit, and conductor temperature abnormal data, with the highest priority, which is transmitted directly through the star flash link and urgently through the 5G, with a time delay of ≤50ms; The conventional monitoring data is transmitted by time slice polling; Non-critical environmental data is transmitted after compression by the edge computing node, with a compression ratio of ≥10:

1. 6.The power transmission line distributed state monitoring system based on starlink and 5G fusion according to claim 1, wherein, The unmanned aerial vehicle mobile relay platform is an industrial-grade multi-rotor unmanned aerial vehicle, with a maximum load of ≥8kg and a continuous flight time of ≥120 minutes, and has RTK high-precision positioning function, horizontal positioning accuracy of 1cm+1ppm, vertical positioning accuracy of 1.5cm+1ppm, and self-obstacle avoidance function; The star flash-5G fusion communication module carried by the unmanned aerial vehicle mobile relay platform is compatible with the star flash communication submodule of the distributed monitoring node, and supports simultaneous access to ≥30 distributed monitoring nodes; The edge computing unit is equipped with an ARM Cortex-A76 processor, which supports real-time running of abnormal data identification algorithms; The unmanned aerial vehicle mobile relay platform further includes a relay scheduling module for receiving communication requests from the cloud management platform or the distributed monitoring nodes, autonomously planning the relay flight path based on the power transmission line GIS map, and realizing optimal relay position selection for multi-node coverage. 7.The power transmission line distributed state monitoring system based on starlink and 5G fusion according to claim 1, wherein, The built-in lightweight algorithm model of the edge computing node includes data cleaning algorithm, abnormal identification model and data compression algorithm; The data cleaning algorithm is used to eliminate abnormal values of the sensor, the abnormal values include out-of-range data and sudden change data, and the sliding average method is used for data smoothing; The abnormal identification model is based on threshold method and random forest machine learning model, which can judge whether each monitoring parameter exceeds the safety threshold in real time and generate abnormal warning information. The data compression algorithm adopts a combination of lossless compression and lossy compression, uses the LZ77 compression algorithm for conventional data, and uses the wavelet transform compression algorithm for waveform data. 8.The power transmission line distributed state monitoring system based on starlink and 5G fusion of claim 1, wherein, The state monitoring module of the cloud management platform is used for integrating the preprocessed data uploaded by the edge computing nodes, displaying the electromagnetic radiation, noise, conductor temperature, ice thickness, tower inclination angle, insulator contamination degree, and environmental temperature and humidity, wind speed data of the whole transmission line in a visual chart form, supporting data filtering and viewing according to the monitoring nodes and time dimension; The communication scheduling module is used for monitoring the communication quality of the star flash link and the 5G link in real time, adjusting the communication mode according to the signal strength feedback, and sending the relay calling instruction and the path planning instruction to the unmanned aerial vehicle mobile relay platform; The fault early warning module determines the fault type and accurate position based on the abnormal information uploaded by the edge computing nodes and the correlation analysis of the whole state, the positioning error of the fault point is less than or equal to 5m, and the early warning information is sent to the operation and maintenance personnel through the SMS and APP push mode; The operation and maintenance decision module automatically generates the optimal operation and maintenance path and disposal scheme according to the fault type, position and power grid operation state; The historical data mining module constructs an LSTM time series prediction model based on the historical monitoring data, predicts the ice growth and insulator contamination accumulation trend, and issues an early warning 3-7 days in advance.

Images