CN114599008A - Power transmission line operation and maintenance system and method based on cloud platform - Google Patents

Abstract

The invention discloses a power transmission line operation and maintenance system and method based on a cloud platform, which comprises the cloud platform, a pipe communication private network, an edge computing platform and an end monitoring platform, wherein the cloud platform is connected with an external system; the cloud platform is connected with the edge computing platform through the pipe communication private network; the edge computing platform is also connected with the end monitoring platform. By adopting the embodiment of the invention, the acquired routing inspection data is analyzed in real time through the cooperative interaction among the cloud platform, the pipe communication, the edge calculation and the end monitoring, so that the situation awareness and the intelligent operation and maintenance of the power transmission system of the power transmission line are realized.

Description

Transmission line operation and maintenance system and method based on cloud platform

technical field

The invention relates to the field of transmission line operation and maintenance, and in particular to a cloud platform-based transmission line operation and maintenance system and method.

Background technique

At present, power transmission lines pass through complex and remote areas, and are vulnerable to natural disasters and man-made damages during long-term operation, which can easily lead to power accidents and seriously threaten the safety of inspection personnel and the normal operation of the power grid. With the rapid development of power grid construction, the power grid transmission lines have increased geometrically. Under the traditional manual inspection operation and maintenance system, the contradiction between the increase in the operation and maintenance workload and the shortage of personnel has become increasingly prominent. This operation and maintenance mode can no longer meet the needs of power grid construction and development. With the emergence of the drone inspection system, its inspection efficiency and quality have been significantly improved compared with traditional manual inspections. However, due to the low level of intelligence of the current UAV, its normal operation still depends on the manual control of the pilot.

With the rapid expansion of the use of UAVs, the inspection image information collected by the UAV inspection system and the operation data of the UAV itself will increase exponentially. If the mode of first inspection and then analysis is adopted, its efficiency will inevitably be reduced, and the working time of transmission system operation and maintenance personnel will be increased invisibly. In addition, the lack of a unified data analysis platform and management system, the failure to fully tap the transmission line online monitoring data and the transmission line operation and maintenance potential of UAV inspection, makes it impossible to achieve situational awareness and intelligent operation and maintenance of the transmission system.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide a cloud platform-based transmission line operation and maintenance system and method. Through the collaborative interaction among the cloud platform, pipe communication, edge computing, and end monitoring, real-time analysis is performed on the obtained inspection data, and the transmission line is realized. The realization of situational awareness and intelligent operation and maintenance of power transmission system.

A first aspect of the embodiments of the present application provides a cloud platform-based transmission line operation and maintenance system, including a cloud platform connected to an external system, a dedicated management communication network, an edge computing platform, and a terminal monitoring platform;

Wherein, the cloud platform includes a machine patrol center server and an inspection team management server; the machine patrol center server is used to store and analyze the monitoring data and inspection data transmitted from the end monitoring platform, and the data of the edge computing platform. The identification result of transmission line defects and hidden dangers; the inspection team management server is configured to generate an inspection strategy for the equipment of the terminal monitoring platform according to the analysis result of the aircraft inspection center server;

The management communication private network is used for encrypted transmission of the monitoring data, the inspection data and the inspection strategy;

The edge computing platform includes a sensing edge computing module and a UAV edge computing module; the sensing edge computing module is used to realize the identification of hidden dangers of transmission line defects at the sensor end; the UAV edge computing module is used to realize Identification of hidden dangers of transmission line defects at the UAV end;

The terminal monitoring platform includes drones, incremental equipment and stock equipment; the stock equipment is connected to the intelligent IoT gateway of the edge computing platform based on an integrated autonomous security chip; the incremental equipment is based on an integrated wireless communication module. The encryption security module of the group is connected in communication with the cloud platform; the terminal monitoring platform is used to obtain and count the monitoring data of incremental equipment and stock equipment, and the inspection data of the drone, and control the unmanned aerial vehicle according to the inspection strategy. machine inspection action.

In a possible implementation manner of the first aspect, the management communication private network includes a power wireless private network device and a power wireless private network, and the power wireless private network device is used for monitoring the monitoring data, the patrol inspection The data and the patrol strategy are encrypted, and the power wireless private network is used to provide an information transmission channel for the monitoring data, the patrol data and the patrol strategy.

In a possible implementation manner of the first aspect, the sensing edge computing module includes an intelligent IoT gateway and a first edge identification module; the UAV edge computing module includes a wireless router, an edge switch, an edge server and The second edge recognition module.

In a possible implementation manner of the first aspect, the first edge identification module utilizes an artificial intelligence chip integrated on the intelligent IoT gateway and a stored algorithm model to realize the identification of hidden dangers of transmission line defects at the sensor end.

In a possible implementation manner of the first aspect, the second edge identification module cooperates with the UAV of the end monitoring platform to identify transmission line components and hidden dangers on the UAV end in real time, and control all The gimbal of the drone will automatically zoom and adjust the angle.

In a possible implementation manner of the first aspect, the transmission line components include glass insulation, composite insulators, connecting hardware, hanging point hardware, shock-proof hammers, pressure equalizing rings, and bird repellents; the hidden dangers of defects include self-explosion of insulators , bird's nest, honeycomb, broken shock hammer and missing cotter pin.

In a possible implementation manner of the first aspect, the terminal monitoring platform includes unmanned aerial vehicles, incremental equipment and stock equipment;

The stock device is connected to the intelligent IoT gateway of the edge computing platform based on an integrated autonomous security chip; the incremental device is communicatively connected to the cloud platform based on an integrated encryption security module with a wireless communication module.

A second aspect of the embodiments of the present application provides a cloud platform-based transmission line operation and maintenance method, which is applied to the above-mentioned cloud platform-based transmission line operation and maintenance system, including:

The cloud platform receives monitoring data and inspection data from the terminal monitoring platform, and generates inspection tasks and task parameters of each UAV according to the monitoring data and the inspection data;

The cloud platform integrates the inspection tasks and task parameters of the various UAVs into a patrol strategy, and encrypts and transmits the patrol strategy to the edge computing platform through the management communication private network, and then the edge computing platform transmits all the patrol strategies. The patrol strategy is sent to each UAV of the terminal platform.

In a possible implementation manner of the second aspect, each UAV receives the patrol strategy and performs patrol work according to the patrol strategy, and returns patrol data to the cloud platform in real time when performing patrol work ;

After each UAV performs the inspection work, according to the identification result of hidden dangers of transmission line defects obtained by the edge computing platform, the cloud platform notifies the power transmission team to eliminate the defect, and update the defect elimination status of the equipment.

In a possible implementation manner of the second aspect, the inspection tasks include channel inspection, refined inspection, and fault inspection; and the task parameters include inspection operation parameters, operation flow, and operation scope.

Compared with the prior art, the embodiments of the present invention provide a transmission line operation and maintenance system and method based on a cloud platform. On the cloud platform side, the operation and maintenance system realizes cloud control, multi-manufacturer models, and multi-task safe and efficient automatic driving patrol. On the management communication side, the system realizes data transmission and result data encryption of various data collection terminals. On the terminal monitoring side, the system realizes the intelligent materialization of various inventory and incremental online monitoring terminals. On the edge computing platform side, based on The sensor edge computing module and the UAV edge computing module perform real-time analysis on the obtained inspection data, fully tap the transmission line online monitoring data and the transmission line operation and maintenance potential of UAV inspection, and improve the coordinated inspection of UAVs. It can check the operation efficiency and realize the real-time situational awareness and intelligent operation and maintenance of the power transmission system.

Description of drawings

FIG. 1 is a schematic structural diagram of a transmission line operation and maintenance system based on a cloud platform provided by an embodiment of the present invention;

FIG. 2 is a schematic flowchart of a cloud platform-based transmission line operation and maintenance method according to an embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Referring to FIG. 1 , an embodiment of the present invention provides a cloud platform-based transmission line operation and maintenance system, which includes a cloud platform 10 connected to an external system, a dedicated management communication network 20 , an edge computing platform 30 and a terminal monitoring platform 40 .

The cloud platform 10 includes a machine patrol center server and an inspection team management server; the machine patrol center server is used to store and analyze the monitoring data and inspection data transmitted from the end monitoring platform 40, and the edge computing The identification result of the transmission line defect hidden danger of the platform 30; the inspection team management server is used to generate an inspection strategy for the equipment of the terminal monitoring platform 40 according to the analysis result of the aircraft inspection center server.

The management communication private network 20 is used for encrypted transmission of the monitoring data, the inspection data and the inspection strategy.

The edge computing platform 30 includes a sensing edge computing module and a UAV edge computing module; the sensing edge computing module is used to realize the identification of hidden dangers of transmission line defects at the sensor end; the UAV edge computing module is used to realize Identification of hidden dangers of transmission line defects at the UAV end.

The terminal monitoring platform 40 includes drones, incremental equipment and stock equipment; the stock equipment is connected to the intelligent IoT gateway of the edge computing platform based on an integrated autonomous security chip; the incremental equipment is based on an integrated wireless communication The encryption security module of the module is connected in communication with the cloud platform; the terminal monitoring platform 40 is used to obtain and count the monitoring data of incremental equipment and stock equipment, and the inspection data of the drone, and control the inspection according to the inspection strategy. The inspection action of the drone.

The cloud platform 10 is the center of the entire operation and maintenance system. All devices of the terminal monitoring platform 40 are controlled by the cloud platform 10 , that is, the corresponding operation and maintenance work is performed according to the operation and maintenance strategy formulated by the cloud platform 10 . The cloud platform 10 is provided with a machine patrol center server and a patrol team management server. The line can be intelligently analyzed through the machine patrol center server: based on sensor monitoring data, UAV inspection data, equipment ledger, line operating ledger and other data, through the study of accident event analysis and equipment status dynamic evaluation system, statistics, mining Analyze line inspection work data, realize dynamic operation and maintenance strategy update and intelligent analysis and decision-making of inspection plan tasks, achieve intelligent decision-making and issuance of inspection tasks of operation and maintenance inspection equipment, and provide data and technical support for power transmission operation and maintenance decisions. The dynamic operation and maintenance strategy refers to the realization of remote centralized control of grid inspection and task and model matching technology for multiple models in the inspection team management server of the cloud platform 10, combined with the transmission operation and maintenance strategy and operation and maintenance plan tasks, Various devices of the peer monitoring platform 40 issue multi-model inspection tasks, intelligent decision-making and matching of task parameters, and automatically divide tasks according to different types of inspection tasks (channel inspection, refined inspection, and fault inspection) to determine the task. Appropriate inspection operation parameters, operation process, and operation scope, automatically generate operation plan and distribute it remotely through task information encryption, realizing multi-machine grid intelligent inspection; the inspection plan task is based on different inspection types ( Channel inspection, refined inspection, fault inspection) automatically generate mission plan and encrypt mission data and send it out, remotely control multi-manufacturer models to take off and perform missions in multiple nests at the same time, and then encrypt and transmit different inspection data to realize remote control. Control autonomous driving that replaces manual patrols or human presence intervention. The multi-dimensional analysis function of the power transmission business of the cloud platform 10 is realized by virtue of the advantages of cloud computing virtualization, high reliability, high scalability, etc. The multi-dimensional analysis functions include route planning, task creation, data management, statistical analysis, status detection, Defect intelligent identification and self-learning functions.

Exemplarily, the management communication private network 20 includes a power wireless private network device and a power wireless private network, and the power wireless private network device is used to encrypt the monitoring data, the inspection data and the inspection strategy. , the power wireless private network is used to provide an information transmission channel for the monitoring data, the inspection data and the inspection strategy.

The sensing terminal of the terminal monitoring platform 40 and the cloud platform 10 side realize two-way identity authentication and two-way transmission data encryption and decryption through the management communication network 20, so as to realize the security encryption authentication of the whole link from the sensing terminal to the cloud platform, and reduce the risk of online monitoring. The hidden risk of being attacked by the network can realize the safe transmission of monitoring data and ensure the reliability of the data. The data encryption process is performed in the power wireless private network equipment. In practical applications, the power wireless private network generally adopts the 4G power wireless private network.

Taking UAV inspection data as an example, encryption includes: 1) Establish an encrypted transmission strategy for sensitive information such as UAV inspection tasks and route data, and realize encrypted distribution of UAV inspection tasks; 2) UAV equipment identity authentication and flight data ( Such as real-time location, etc.) encrypted transmission; 3) Aircraft positioning equipment, embedded with a security chip, to achieve encrypted return of aircraft location information; 4) UAV inspection results data transmission encryption scheme; 5) Establish a unified password management system to provide Identity authentication, password management and other services realize full-link data encryption from the main station to the aircraft, making it impossible for humans to obtain plaintext information, reducing the risk of data leakage, and ensuring safe and reliable data transmission.

Exemplarily, the sensing edge computing module includes an intelligent IoT gateway and a first edge identification module; the UAV edge computing module includes a wireless router, an edge switch, an edge server and a second edge identification module.

Exemplarily, the first edge identification module utilizes the artificial intelligence chip integrated on the intelligent IoT gateway and the stored algorithm model to realize the identification of hidden dangers of transmission line defects at the sensor end.

Through the collection and training of transmission line equipment ontology defects, external hidden dangers and samples of the area where the equipment is located, convolutional neural networks (CNN) are used for feature extraction, and a scientific transmission line defect classification system is established to realize intelligent defect identification. The identification of hidden dangers of transmission line defects at the equipment end is realized by artificial intelligence chips and algorithm models, which can greatly improve the response speed of hidden dangers of line defects.

Exemplarily, the second edge recognition module cooperates with the drone of the end monitoring platform to identify power transmission line components and hidden defects on the drone end in real time, and control the automatic zooming of the pan/tilt of the drone. and adjust the angle.

In practical applications, a 4G router is generally used in the UAV edge computing module, and the 4G router, switch, server and second edge identification module are integrated on the hangar of the edge computing platform 30 to realize the problem of timely identification of inspection data. , the UAV edge computing module also needs to work with the equipment block of the terminal monitoring platform 40 to identify circuit components and common defects in real time, and control the automatic zoom and angle adjustment of the UAV PTZ to improve the quality of photos and facilitate post-processing of data. Common defects can output defect reports in real time on the hangar side. According to the communication link between the hangar and the UAV, the identification requirements of the second edge identification module shown in Table 1 are applied.

Table 1 The performance requirements of the intelligent identification module on the hangar side

Through the coordinated operation of the second edge recognition module on the hangar and the related modules of the UAV on-board side, the real-time identification of target equipment and defects and the acquisition of high-quality photo data can be realized, major equipment defects can be found in time, and the inspection result data can be timely reported. Archive and organize, automatically generate inspection reports, and finally send them back to the cloud platform 10 for multi-dimensional analysis of power transmission business, and then do further detection confirmation and model training.

In order to improve the efficiency of UAV cooperative inspection operations, a unified control model for multi-machine cooperative operation can be established and saved on the UAV inspection center server of cloud platform 10, and a unified flight control model and interface adaptation standards can be formulated, which is the basis for different aircraft types. Unified control of the UAV's flight control, gimbal, camera, etc., realizes the control adaptation and unified management of the UAV of the model, and the remote control takes off with one key and returns with one key, and realizes the grid-based collaborative inspection of multi-type UAV. , Unified scheduling management.

Exemplarily, the transmission line components include glass insulation, composite insulators, connecting hardware, hanging point hardware, shock-proof hammers, pressure equalizing rings and bird repellents; Missing cotter pin.

Exemplarily, the terminal monitoring platform 40 includes drones, incremental equipment and inventory equipment.

The stock device is connected to the intelligent IoT gateway of the edge computing platform based on an integrated autonomous security chip; the incremental device is communicatively connected to the cloud platform based on an integrated encryption security module with a wireless communication module.

The sensing terminal includes incremental equipment and stock equipment, and the terminal monitoring platform 40 utilizes the multi-source small and micro sensor fusion capability to carry out intelligent materialization transformation of stock equipment (the sensor terminal is installed on the stock equipment). Incremental equipment can realize intelligent integration, control, management and data upload of various sensing equipment, aiming at reducing costs, convenient installation and deployment, and increasing monitoring coverage, etc. The first-level tower is transmitted to the IoT gateway, and the non-signal ad hoc network transmits data to the signal gateway. One IoT gateway is associated with N sensor terminals, and the data is unified and encrypted for uploading, realizing low power consumption and miniaturization of the equipment without signal. Monitoring coverage of the area. The UAV can be the flight control, gimbal, and camera of UAVs of different models.

It should be noted that the incremental device is based on an integrated encryption security module with a wireless communication module, and can communicate with the cloud platform 10 without going through the smart IoT gateway, so the operating status of the smart IoT gateway can be ignored. to add.

The embodiment of the present invention provides a transmission line operation and maintenance system based on a cloud platform. On the cloud platform side, the operation and maintenance system realizes cloud control, multi-manufacturer models, and multi-task safe and efficient automatic driving inspections. On the management communication side, the system realizes Data transmission and result data encryption of various data collection terminals. On the terminal monitoring side, the system realizes the intelligent materialization of various stock and incremental online monitoring terminals. On the edge computing platform side, it is based on the sensor edge computing module and the UAV edge. The calculation module conducts real-time analysis of the obtained inspection data, fully taps the transmission line online monitoring data and the transmission line operation and maintenance potential of UAV inspection, improves the efficiency of UAV collaborative inspection operations, and realizes the power transmission system. Real-time situational awareness and intelligent operation and maintenance.

Referring to FIG. 2, an embodiment of the present application provides a cloud platform-based transmission line operation and maintenance method, which is applied to the above-mentioned cloud platform-based transmission line operation and maintenance system, including:

S200. The cloud platform receives monitoring data and inspection data from the terminal monitoring platform, and generates inspection tasks and task parameters of each UAV according to the monitoring data and the inspection data.

S201. The cloud platform integrates the patrol tasks and task parameters of each UAV into a patrol strategy, encrypts and transmits the patrol strategy to the edge computing platform through the management communication private network, and then transmits the patrol strategy to the edge computing platform by the edge computing platform. The patrol strategy is issued to each UAV of the end platform.

Exemplarily, each UAV receives the patrol strategy and performs patrol work according to the patrol strategy, and returns patrol data to the cloud platform in real time when performing patrol work.

After each UAV performs the inspection work, according to the identification result of hidden dangers of transmission line defects obtained by the edge computing platform, the cloud platform notifies the power transmission team to eliminate the defect, and update the defect elimination status of the equipment.

The method provided in this embodiment can manage and control the whole process of UAV inspection, realize lean construction and standardized management of UAV inspection operations, ensure that UAV operations are carried out legally and compliantly, and provide decision-making for power transmission inspection. Support, the specific process is as follows:

1) Before the task, the cloud platform 10 analyzes the line account, tower coordinates, and operation and maintenance units managed by the line account, filters out the flight personnel, flight equipment, and battery information managed by the flight equipment, and applies for airspace (including airspace information and prohibited information). Flying area information), formulate inspection plan, which includes planned time and task execution route.

2) In the task, arrange the task, the task includes the task executor, the execution line tower and the execution time, wait for the permission of the work ticket, confirm the licensor and the permission time, carry out the intelligent inspection of the drone, and display the flight equipment and inspection on the system. Trajectories, real-time video and task pictures, and finally return data, which are mainly pictures of inspection tasks.

3) After the task, the edge computing platform 30 performs intelligent analysis on the defect picture and defect identification, and defines the defect according to the defect list, defect type, and severity level. The cloud platform 10 arranges the power transmission team to eliminate the defect, and update the elimination status of the system equipment. .

Exemplarily, the inspection tasks include channel inspection, refined inspection, and fault inspection; and the task parameters include inspection operation parameters, operation flow, and operation scope.

The embodiment of the present invention provides a transmission line operation and maintenance method based on a cloud platform. On the cloud platform side, the operation and maintenance system realizes cloud control, multi-manufacturer models, and multi-task safe and efficient automatic driving inspections. On the management communication side, the system realizes Data transmission and result data encryption of various data collection terminals. On the terminal monitoring side, the system realizes the intelligent materialization of various stock and incremental online monitoring terminals. On the edge computing platform side, it is based on the sensor edge computing module and the UAV edge. The calculation module conducts real-time analysis of the obtained inspection data, fully taps the transmission line online monitoring data and the transmission line operation and maintenance potential of UAV inspection, improves the efficiency of UAV collaborative inspection operations, and realizes the power transmission system. Real-time situational awareness and intelligent operation and maintenance.

The above are the preferred embodiments of the present invention. It should be pointed out that for those skilled in the art, without departing from the principles of the present invention, several improvements and modifications can be made, and these improvements and modifications may also be regarded as It is the protection scope of the present invention.

Claims (9)

1. A transmission line operation and maintenance system based on a cloud platform, characterized in that it comprises a cloud platform, a management communication private network, an edge computing platform and a terminal monitoring platform connected with an external system; Wherein, the cloud platform includes a machine patrol center server and an inspection team management server; the machine patrol center server is used to store and analyze the monitoring data and inspection data transmitted from the end monitoring platform, and the data of the edge computing platform. The identification result of transmission line defects and hidden dangers; the inspection team management server is configured to generate an inspection strategy for the equipment of the terminal monitoring platform according to the analysis result of the aircraft inspection center server; The management communication private network is used for encrypted transmission of the monitoring data, the inspection data and the inspection strategy; The edge computing platform includes a sensing edge computing module and a UAV edge computing module; the sensing edge computing module is used to realize the identification of hidden dangers of transmission line defects at the sensor end; the UAV edge computing module is used to realize Identification of hidden dangers of transmission line defects at the UAV end; The terminal monitoring platform includes drones, incremental equipment and stock equipment; the stock equipment is connected to the intelligent IoT gateway of the edge computing platform based on an integrated autonomous security chip; the incremental equipment is based on an integrated wireless communication module. The encryption security module of the group is connected in communication with the cloud platform; the terminal monitoring platform is used to obtain and count the monitoring data of incremental equipment and stock equipment, and the inspection data of the drone, and control the unmanned aerial vehicle according to the inspection strategy. machine inspection action. 2. The cloud platform-based transmission line operation and maintenance system according to claim 1, wherein the management communication private network comprises a power wireless private network device and a power wireless private network, and the power wireless private network device is used for The monitoring data, the inspection data and the inspection strategy are encrypted, and the power wireless private network is used to provide an information transmission channel for the monitoring data, the inspection data and the inspection strategy. 3. The cloud platform-based transmission line operation and maintenance system according to claim 1, wherein the sensing edge computing module comprises an intelligent IoT gateway and a first edge identification module; the UAV edge computing module It includes a wireless router, an edge switch, an edge server and a second edge identification module. 4. The transmission line operation and maintenance system based on a cloud platform according to claim 3, wherein the first edge identification module utilizes the artificial intelligence chip integrated on the intelligent IoT gateway and the stored algorithm model to realize Hazard identification of transmission line defects at the sensor end. 5. The transmission line operation and maintenance system based on a cloud platform according to claim 3, wherein the second edge identification module cooperates with the unmanned aerial vehicle of the end monitoring platform, and the identification on the unmanned aerial vehicle end is performed in real time. Power transmission line components and hidden defects, and control the drone's pan/tilt to automatically zoom and adjust the angle. 6 . The cloud platform-based transmission line operation and maintenance system according to claim 5 , wherein the transmission line components include glass insulation, composite insulators, connecting hardware, hanging point hardware, shock-proof hammer, pressure equalizing ring and drive. 7 . Bird device; the hidden dangers of defects include self-explosion of insulators, bird's nests, honeycombs, damage to anti-vibration hammers and missing cotter pins. 7. A cloud platform-based transmission line operation and maintenance method, characterized in that, applied to the cloud platform-based transmission line operation and maintenance system according to any one of claims 1-6, comprising: The cloud platform receives monitoring data and inspection data from the terminal monitoring platform, and generates inspection tasks and task parameters of each UAV according to the monitoring data and the inspection data; The cloud platform integrates the inspection tasks and task parameters of the various UAVs into a patrol strategy, and encrypts and transmits the patrol strategy to the edge computing platform through the management communication private network, and then the edge computing platform transmits all the patrol strategies. The patrol strategy is sent to each UAV of the terminal monitoring platform. 8. The cloud platform-based transmission line operation and maintenance method according to claim 7, characterized in that, comprising: Each UAV receives the patrol strategy and performs patrol work according to the patrol strategy, and returns patrol data to the cloud platform in real time when performing patrol work; After each UAV performs the inspection work, according to the identification result of hidden dangers of transmission line defects obtained by the edge computing platform, the cloud platform notifies the power transmission team to eliminate the defect, and update the defect elimination status of the equipment. 9 . The cloud platform-based transmission line operation and maintenance method according to claim 7 , wherein the inspection tasks include channel inspection, refined inspection and fault inspection; and the task parameters include inspection operation parameters, operation flow and scope of work.

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