Smart monitoring system for overhead power line

The intelligent monitoring system for overhead transmission lines has solved the problems of poor event capture capability and inaccurate icing monitoring in existing technologies. It enables real-time capture of faults and real-time monitoring of icing thickness, thereby improving the line status monitoring and early warning capabilities.

WO2026102804A1PCT designated stage Publication Date: 2026-05-21HUANENG HUAJIALING WIND POWER GENERATION CO LTD
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
HUANENG HUAJIALING WIND POWER GENERATION CO LTD
Filing Date
2024-11-24
Publication Date
2026-05-21

AI Technical Summary

Technical Problem

Existing monitoring technologies have poor event capture capabilities in overhead transmission lines, high power consumption, low timeliness, and are unable to detect faults in a timely manner. They also cannot accurately monitor icing conditions, leading to untimely maintenance and frequent false alarms.

Method used

An intelligent monitoring system for overhead transmission lines is adopted, including a capture device, an icing detection device, and a monitoring backend device, to achieve instantaneous capture of faults, real-time monitoring of icing thickness, and data processing. Image analysis technology is used for fault early warning and icing risk warning.

Benefits of technology

It enables real-time capture and uploading of line faults, ensuring accurate judgment and rapid reporting of fault events, reducing the burden of manual inspections, and improving the status monitoring and proactive early warning capabilities of transmission lines.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to the technical field of circuit maintenance, in particular to a smart monitoring system for an overhead power line. The system comprises: a capture apparatus, configured for instantaneous capture of faults, timed image shooting, intelligent image recognition and fault early-warning, and real-time monitoring of line status; an icing detection apparatus, configured to perform real-time monitoring of an icing state of power line conductors, complete data acquisition in an ultra-high voltage electromagnetic environment, and use image analysis technology to calculate an icing thickness within an image range; and a monitoring backend device, configured to process and display data returned by the capture apparatus and the icing detection apparatus, issue an alarm when an abnormality occurs, and notify relevant responsible individuals via mini-programs, short messages, and other means. The present invention enables real-time capture and uploading of line faults, ensures that the full process of a fault event occurrence is recorded, and ensures accurate determination and analysis and rapid push reporting.
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Description

A smart monitoring system for overhead transmission lines Technical Field

[0001] This invention relates to the field of circuit maintenance technology, and in particular to an intelligent monitoring system for overhead transmission lines. Background Technology

[0002] Existing monitoring technologies typically employ interval shooting or loop recording to achieve monitoring functions. These methods suffer from poor event capture capabilities, high power consumption, low timeliness, and a lack of fault alarm capabilities. In the event of sudden faults, delayed information detection often leads to untimely repairs and prolonged short-circuit faults. Current technologies also lack specific fault identification capabilities for transmission lines, resulting in false alarms and increasing the workload of patrol personnel. Furthermore, existing devices cannot accurately monitor line icing and cannot provide early warnings of the risks associated with icing.

[0003] Therefore, there is an urgent need to propose an intelligent monitoring system for overhead transmission lines. Summary of the Invention

[0004] In view of the problems existing in the above or prior art, the present invention is proposed.

[0005] Therefore, the purpose of this invention is to provide an intelligent monitoring system for overhead transmission lines.

[0006] To address the aforementioned technical issues, this invention proposes an intelligent monitoring system for overhead transmission lines. This system can capture fault images and provide early warnings for crossing transmission lines with potential faults, significantly reducing the need for manual inspections and enhancing the monitoring and proactive early warning capabilities of transmission lines. It enables the detection and early warning of potential hazards on important transmission lines, three-span lines, and lines prone to external damage, thus promoting a leap from passive handling to proactive defense in line operation and maintenance.

[0007] This invention provides the following technical solution: a smart monitoring system for overhead transmission lines, comprising,

[0008] The image capture device is used to capture images of faults in real time, take images at regular intervals, intelligently identify images and issue fault warnings, and monitor the status of the line in real time.

[0009] An icing detection device is used to monitor the icing status of transmission line conductors in real time. It completes data acquisition in an ultra-high voltage electromagnetic environment and uses image analysis technology to calculate the icing thickness within the image range.

[0010] The monitoring backend equipment is used to process and display the data transmitted back from the capture device and the icing detection device, and to issue alarms when there are abnormalities, and to notify the relevant personnel through mini-programs, SMS and other means.

[0011] As a preferred embodiment of the intelligent monitoring system for overhead transmission lines of the present invention, the snapshot device includes:

[0012] The first acquisition module is used to acquire image information of the surrounding environment;

[0013] The first calculation module is used to identify and calculate the image information of the surrounding environment that has been collected;

[0014] The first communication module is used to transmit image information of the surrounding environment and the results of recognition calculations over the network.

[0015] The first power supply module is used to provide power to the first acquisition module, the first computing module, and the first communication module.

[0016] As a preferred embodiment of the intelligent monitoring system for overhead transmission lines of the present invention, the icing detection device includes:

[0017] The second acquisition module is used to acquire image information of the transmission line conductors;

[0018] The second calculation module is used to identify and calculate the image information of the collected transmission line conductors;

[0019] The second communication module is used to transmit the image information of the power transmission line conductors and the results of recognition calculations over the network.

[0020] The second power supply module is used to provide power to the second acquisition module, the second computing module, and the second communication module.

[0021] As a preferred embodiment of the intelligent monitoring system for overhead transmission lines of the present invention, the monitoring backend equipment includes:

[0022] A data center is used for data processing, data transmission and reception, and data storage.

[0023] A visualization platform used to allow users to read data.

[0024] As a preferred embodiment of the intelligent monitoring system for overhead transmission lines of the present invention, the first acquisition module includes a snapshot camera, a first high-definition camera, and a first night vision camera.

[0025] The first computing module includes a first image processor and a first AI computing chip;

[0026] The first communication module includes a first 4G / 5G signal transceiver;

[0027] The first power supply module includes a first battery and a solar panel.

[0028] As a preferred embodiment of the intelligent monitoring system for overhead transmission lines of the present invention, the second acquisition module includes a second high-definition camera and a second night vision camera;

[0029] The second computing module includes a second image processor and a second AI computing chip;

[0030] The second communication module includes a second 4G / 5G signal transceiver;

[0031] The second power supply module includes a second battery and an electromagnetic induction power extraction device.

[0032] As a preferred embodiment of the intelligent monitoring system for overhead transmission lines of the present invention, the data center includes a data processing chip, a data storage device, and a third communication module;

[0033] The visualization platform includes web pages and mini-programs.

[0034] As a preferred embodiment of the intelligent monitoring system for overhead transmission lines of the present invention, the capture camera in the capture device will actively identify and screen for fault flashover based on the optical signal of the fault flashover, automatically capture images at the moment the flashover occurs, locate the specific tower, and transmit the images to the data center through the first communication module, present them on the visualization platform, and provide alarm prompts through the mini-program and web page.

[0035] As a preferred embodiment of the intelligent monitoring system for overhead transmission lines of the present invention, the second high-definition camera and the second night vision camera in the second acquisition module of the icing detection device collect images of the icing situation of the line around the clock, and use the second image processor and the second AI computing chip to calculate the icing thickness. When the icing thickness exceeds the safety threshold, the terminal automatically analyzes and sends prompts and warnings to the background and relevant responsible persons.

[0036] As a preferred embodiment of the intelligent monitoring system for overhead transmission lines of the present invention, the first high-definition camera and the first night vision camera in the first acquisition module of the snapshot device will monitor the scene around the clock. The snapshot camera captures the scene when an emergency occurs. The collected data is processed by the first image processor in the first computing module and then the first AI computing chip is used to identify special objects in the scene and determine whether an alarm needs to be triggered. After that, the data is transmitted to the data center of the monitoring back-end equipment through the first 4G / 5G signal transceiver in the first communication module. The data processing chip in the data center processes the received data and stores it in the data storage device. At this time, the user can read the data through the web page and the mini-program.

[0037] The beneficial effects of the intelligent monitoring system for overhead transmission lines of this invention are as follows: This invention can realize real-time capture and uploading of line faults, and ensure the recording of the entire process of fault events, thus ensuring accurate judgment and analysis and rapid reporting. A dedicated precision monitoring device has been developed for icing conditions to monitor line icing and issue early warnings for situations that may lead to disasters. Attached Figure Description

[0038] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 shows the overall framework of the intelligent monitoring system for overhead transmission lines.

[0040] Figure 2 is a frame diagram of the capture device.

[0041] Figure 3 is a frame diagram of the icing detection device.

[0042] Figure 4 is a framework diagram of the monitoring backend equipment. Detailed Implementation

[0043] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0044] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0045] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0046] Example 1, referring to Figures 1 to 4, is the first embodiment of the present invention. This embodiment provides a smart monitoring system for overhead transmission lines, including:

[0047] The image capture device is used to capture images of faults in real time, take images at regular intervals, intelligently identify images and issue fault warnings, and monitor the status of the line in real time.

[0048] An icing detection device is used to monitor the icing status of transmission line conductors in real time. It completes data acquisition in an ultra-high voltage electromagnetic environment and uses image analysis technology to calculate the icing thickness within the image range.

[0049] The monitoring backend equipment is used to process and display the data transmitted back from the capture device and the icing detection device, and to issue alarms when there are abnormalities, and to notify the relevant personnel through mini-programs, SMS and other means.

[0050] Specifically, the capture device includes,

[0051] The first acquisition module is used to acquire image information of the surrounding environment;

[0052] The first calculation module is used to identify and calculate the image information of the surrounding environment that has been collected;

[0053] The first communication module is used to transmit image information of the surrounding environment and the results of recognition calculations over the network.

[0054] The first power supply module is used to provide power to the first acquisition module, the first computing module, and the first communication module.

[0055] In this embodiment, the image capture device is fixedly installed on the second-level platform of the tower. The first acquisition module is sequentially connected to the first power supply module and the first calculation module, and the first communication module is electrically connected to the first calculation module.

[0056] Furthermore, the icing detection device includes,

[0057] The second acquisition module is used to acquire image information of the transmission line conductors;

[0058] The second calculation module is used to identify and calculate the image information of the collected transmission line conductors;

[0059] The second communication module is used to transmit the image information of the power transmission line conductors and the results of recognition calculations over the network.

[0060] The second power supply module is used to provide power to the second acquisition module, the second computing module, and the second communication module.

[0061] In this embodiment, the icing detection device is installed on the transmission line conductor, 2.5 meters from the tower head. The second acquisition module is connected to the second power supply module and the second calculation module through a vibration damping device, and the second communication module is electrically connected to the second calculation module.

[0062] The monitoring backend equipment includes,

[0063] A data center is used for data processing, data transmission and reception, and data storage.

[0064] A visualization platform used to allow users to read data.

[0065] Preferably, the first acquisition module includes a snapshot camera, a first high-definition camera, and a first night vision camera;

[0066] The first computing module includes a first image processor and a first AI computing chip;

[0067] The first communication module includes a first 4G / 5G signal transceiver;

[0068] The first power supply module includes a first battery and a solar panel.

[0069] It should be noted that the second acquisition module includes a second high-definition camera and a second night vision camera;

[0070] The second computing module includes a second image processor and a second AI computing chip;

[0071] The second communication module includes a second 4G / 5G signal transceiver;

[0072] The second power supply module includes a second battery and an electromagnetic induction power extraction device.

[0073] Preferably, the data center includes a data processing chip, a data storage device, and a third communication module;

[0074] Visualization platforms include web pages and mini-programs.

[0075] In operation, a capture device and an icing detection device are installed on the power pole. The capture device is mounted on the second-level platform of the pole, and the icing detection device is installed on the transmission line conductor. The first high-definition camera and the first night vision camera in the first acquisition module of the capture device will monitor the scene around the clock. The capture camera captures images of sudden events. The collected data is processed by the first image processor in the first computing module, and the first AI computing chip identifies special objects in the image and determines whether an alarm is needed. The data is then transmitted to the data center of the monitoring backend equipment via the first 4G / 5G transceiver in the first communication module. The data processing chip in the data center processes the received data and stores it in the data storage device. Users can then access the data via a web page and a mini-program. In the event of a sudden event, the capture camera in the capture device will actively identify and screen for fault flashovers based on the optical signal of the flashover. It will automatically capture images at the moment of the flashover, locate the specific pole, and transmit the image to the data center via the first communication module, presenting it on the visualization platform. Alarms will also be issued via a mini-program and a web page. In response to line icing, the second high-definition camera and the second night vision camera in the second acquisition module of the icing detection device collect images of the line icing around the clock, and use the second image processor and the second AI computing chip to calculate the icing thickness. When the icing thickness exceeds the safety threshold, the terminal automatically analyzes the data and sends prompts and warnings to the backend and relevant responsible persons.

[0076] The following table compares the image capture device in this system with existing technologies:

[0077] The advantages of this capture device compared to traditional monitoring technologies are as follows: Traditional monitoring technologies generally use interval shooting or loop recording, resulting in poor event capture capabilities, high power consumption, low timeliness, and lack of fault alarm capabilities. In the event of a sudden fault, information is often detected late, leading to untimely repairs and potentially causing power outages. This device provides 24 / 7 online monitoring of transmission lines, enabling the capture of instantaneous fault flashovers, data collection and analysis of transmission corridors, channel environments, mechanical intrusion, and external damage. Data is then uploaded and received wirelessly, allowing back-end management personnel to understand the real-time situation and promptly control and resolve potential transmission line faults.

[0078] The advantage of the icing detection device is that it has good anti-power frequency electromagnetic interference performance, can complete accurate and complete data acquisition in ultra-high voltage electromagnetic environment, and accurately control the front-end equipment. Since the detection device often works in harsh weather environment, it should be designed as a self-powered type, that is, it uses induction to obtain working power from the monitored line, which is maintenance-free and reliable in operation.

[0079] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A smart monitoring system for overhead transmission lines, characterized in that: include, The image capture device is used to capture images of faults in real time, take images at regular intervals, intelligently identify images and issue fault warnings, and monitor the status of the line in real time. An icing detection device is used to monitor the icing status of transmission line conductors in real time. It completes data acquisition in an ultra-high voltage electromagnetic environment and uses image analysis technology to calculate the icing thickness within the image range. The monitoring backend equipment is used to process and display the data transmitted back from the capture device and the icing detection device, and to issue alarms when there are abnormalities, and to notify the relevant personnel via mini-program and SMS.

2. The intelligent monitoring system for overhead transmission lines as described in claim 1, characterized in that: The image capture device includes, The first acquisition module is used to acquire image information of the surrounding environment; The first calculation module is used to identify and calculate the image information of the surrounding environment that has been collected; The first communication module is used to transmit image information of the surrounding environment and the results of recognition calculations over the network. The first power supply module is used to provide power to the first acquisition module, the first computing module, and the first communication module.

3. The intelligent monitoring system for overhead transmission lines as described in claim 2, characterized in that: The icing detection device includes, The second acquisition module is used to acquire image information of the transmission line conductors; The second calculation module is used to identify and calculate the image information of the collected transmission line conductors; The second communication module is used to transmit the image information of the power transmission line conductors and the results of recognition calculations over the network. The second power supply module is used to provide power to the second acquisition module, the second computing module, and the second communication module.

4. The intelligent monitoring system for overhead transmission lines as described in claim 3, characterized in that: The monitoring backend equipment includes, A data center is used for data processing, data transmission and reception, and data storage. A visualization platform used to allow users to read data.

5. The intelligent monitoring system for overhead transmission lines as described in claim 4, characterized in that: The first acquisition module includes a snapshot camera, a first high-definition camera, and a first night vision camera; The first computing module includes a first image processor and a first AI computing chip; The first communication module includes a first 4G / 5G signal transceiver; The first power supply module includes a first battery and a solar panel.

6. The intelligent monitoring system for overhead transmission lines as described in claim 5, characterized in that: The second acquisition module includes a second high-definition camera and a second night vision camera; The second computing module includes a second image processor and a second AI computing chip; The second communication module includes a second 4G / 5G signal transceiver; The second power supply module includes a second battery and an electromagnetic induction power extraction device.

7. The intelligent monitoring system for overhead transmission lines as described in claim 6, characterized in that: The data center includes a data processing chip, a data storage device, and a third communication module; The visualization platform includes web pages and mini-programs.

8. The intelligent monitoring system for overhead transmission lines as described in claim 7, characterized in that: The capture camera in the capture device will actively identify and screen for fault flashover based on the optical signal of the fault flashover. It will automatically capture images at the moment the flashover occurs, locate the specific tower, and transmit the images to the data center through the first communication module. The images will be displayed on the visualization platform and alarm prompts will be issued through the mini-program and web page.

9. The intelligent monitoring system for overhead transmission lines as described in claim 8, characterized in that: The second high-definition camera and the second night vision camera in the second acquisition module of the icing detection device collect images of the line icing around the clock, and use the second image processor and the second AI computing chip to calculate the icing thickness. When the icing thickness exceeds the safety threshold, the terminal automatically analyzes and sends prompts and warnings to the backend and relevant responsible persons.

10. The intelligent monitoring system for overhead transmission lines as described in claim 9, characterized in that: The first high-definition camera and the first night vision camera in the first acquisition module of the capture device will monitor the scene around the clock. The capture camera will capture the scene when an emergency occurs. The collected data is processed by the first image processor in the first computing module and then the first AI computing chip will identify special objects in the scene and determine whether an alarm needs to be triggered. After that, the data is transmitted to the data center of the monitoring back-end equipment through the first 4G / 5G signal transceiver in the first communication module. The data processing chip in the data center processes the received data and stores it in the data storage device. At this time, users can read the data through the web page and the mini program.