Safety management system for overhead transmission line

By adopting an artificial intelligence model in the overhead transmission line safety management system, intelligently predicting the maximum amplitude of direct lightning overvoltage generated in the future time interval based on a number of targeted screening basic information, it solves the problem that is difficult to predict in the existing technology and realizes intelligent management of overhead transmission lines.

CN119944960AInactive Publication Date: 2025-05-06XUZHOU PAIKUN BUILDING MATERIALS CO LTD
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Patent Information

Application Number
CN202510088195.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2024-07-12
Filing Date
2025-01-21
Publication Date
2025-05-06
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The prior art is difficult to effectively predict the maximum amplitude of direct lightning overvoltage generated in the future time interval of overhead transmission lines, resulting in the inability to provide sufficient reaction time for subsequent response measures.

Method used

The artificial intelligence model is used to intelligently predict the maximum amplitude of direct lightning overvoltage generated on overhead transmission lines within the future time interval based on a number of targeted screening basic information. The system includes a line detection device, a visual monitor, a content capture device and a data forwarding device. Through the AI ​​prediction model, intelligent prediction is based on the set duration, line parameters, and pixel data of the cloud imaging area.

Benefits of technology

It realizes intelligent prediction of the maximum amplitude of direct lightning overvoltage generated in the future time interval of overhead transmission lines, providing sufficient response time for subsequent response measures, and improving the intelligent level of overhead transmission line management.

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Abstract

The invention relates to a safety management system for an overhead transmission line. The safety management system comprises a line detection device, a visual monitor, a content capture device and a data forwarding device. The intelligent level of overhead transmission line management can be improved.
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Description

Technical Field

[0001] The invention relates to the field of overhead power transmission lines, and in particular to an overhead power transmission line safety management system. Background Art

[0002] For overhead transmission lines, safety management has always been a very important issue. For example, the prior art CN119067433A discloses a transmission line operation risk assessment method taking into account multiple external factors, including the following steps: obtaining historical data of overhead transmission lines, determining external factors that cause line failures, and the failure rate caused by external factors of the line, as well as the repair time and repair rate; evaluating and predicting the state of the transmission line based on the Markov chain model; determining the impact index caused by the line failure, and constructing a comprehensive severity index; and establishing a transmission line operation risk assessment model.

[0003] CN119047703A discloses a method and device for evaluating the status of an overhead power transmission line, and a computer program product. The method includes: obtaining multi-source data of the overhead power transmission line; determining a portrait label of each of a plurality of evaluation indicators according to the multi-source data; generating a first judgment matrix according to the portrait labels of the plurality of evaluation indicators; performing calculations according to the first judgment matrix to obtain evaluation weights of each evaluation indicator; determining the largest evaluation weight among all evaluation weights as a target evaluation weight; and determining an evaluation result of evaluating the operating status of the overhead power transmission line according to the target evaluation weight.

[0004] CN118941986A discloses an automatic inspection method for overhead power transmission lines and related products, which can be applied to the field of circuit inspection technology. The method comprises: obtaining point cloud data to be classified corresponding to the area to be inspected; there are ground objects and power lines in the area to be inspected; using a lightweight transmission line point cloud segmentation network to classify the point cloud data to be classified, and obtain a first point cloud data set corresponding to the ground objects and a second point cloud data set corresponding to the power lines; processing the first point cloud data set based on a point cloud thinning algorithm, and obtaining a first comparison data set; determining the central axis point set data of the power lines based on the second point cloud data set; calculating the distance between each point in the first comparison data set and each point in the central axis point set data, and comparing with a preset safety distance to determine the inspection result.

[0005] Although some research results have been disclosed in the prior art, some unexpected problems may still occur during application. Summary of the invention

[0006] In order to solve the technical problems in the prior art, the present invention provides an overhead transmission line safety management system, which adopts an artificial intelligence model to intelligently predict the maximum amplitude of direct lightning overvoltage generated on the overhead transmission line in a future time interval based on multiple targeted screened basic information, thereby completing the intelligent prediction of the maximum amplitude of direct lightning overvoltage generated on the overhead transmission line in a future time interval, and providing sufficient response time for the formulation of subsequent response measures.

[0007] According to the present invention, there is provided an overhead power transmission line safety management system, the system comprising: A line detection device, used to obtain various line parameters of the overhead transmission line, wherein the various line parameters of the overhead transmission line are the line length, line cross-sectional area and transmission voltage value of the overhead transmission line; The visual monitor comprises two overhead monitoring components respectively arranged at the tops of two transmission line iron towers on both sides of the overhead transmission line, and used to respectively perform image sensing actions on the airspace directly above the transmission line iron towers where the two components are located, so as to respectively obtain two frames of overhead sensing images, and perform splicing processing on the two frames of overhead sensing images to obtain a corresponding spliced ​​combined image; A content capture device connected to the visual monitor is used to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within a time interval of a set time after the image sensing action is performed using an AI prediction model based on a set time length, various line parameters of the overhead transmission line, depth of field values, color component values, and coordinate values ​​of each pixel point in the cloud imaging area in the spliced ​​combined image; A data forwarding device, connected to the content capturing device, for forwarding the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within a time interval of a set time length after the image sensing action is executed as the predicted maximum amplitude to a remote transmission line management server via a wireless communication link; Among them, the AI ​​prediction model is used to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within the time interval of the set time after the image sensing action is performed based on the set time, various line parameters of the overhead transmission line, the depth of field value, color component value and coordinate value of each pixel point in the cloud imaging area in the spliced ​​combined image, including: the AI ​​prediction model is a deep neural network after completing a set number of multiple learnings, and the value of the set number is proportional to the line length of the overhead transmission line; Among them, the visual monitor includes two overhead monitoring components respectively arranged on the top of two transmission line towers on both sides of the overhead transmission line, which are used to perform image sensing actions on the airspace directly above the transmission line towers respectively, so as to obtain two frames of overhead sensing images respectively, and perform splicing processing on the two frames of overhead sensing images to obtain corresponding spliced ​​combined images, including: the visual monitor also includes a synchronization trigger component, which is used to connect with the two overhead monitoring components respectively, so as to realize the synchronous processing of the execution of the image sensing actions of the two overhead monitoring components.

[0008] It can be seen that the present invention has at least the following three important inventive features: Important invention point A: Two overhead monitoring components are respectively arranged at the tops of two transmission line towers on both sides of the overhead transmission line, and image sensing actions are synchronously performed in the airspace directly above the towers where they are located, so as to obtain two frames of overhead sensing images respectively, and the two frames of overhead sensing images are spliced ​​to obtain corresponding spliced ​​combined images, thereby providing reliable basic data for intelligent prediction of the maximum amplitude of direct lightning overvoltage generated on the overhead transmission line in the subsequent future time interval; Important invention point B: The AI ​​prediction model is used to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within the time interval of the set time after the image sensing action is performed based on the set time length, various line parameters of the overhead transmission line, the depth of field value, color component value and coordinate value of each pixel point in the cloud imaging area in the spliced ​​combined image, thereby completing the intelligent prediction of the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within the future time interval, and providing sufficient reaction time for the formulation of subsequent countermeasures; Important Invention Point C: The AI ​​prediction model that performs intelligent prediction is a deep neural network that has completed a set number of multiple learnings. The value of the set number is proportional to the line length of the overhead transmission line, so that AI prediction models with different structures are designed for different overhead transmission lines, ensuring the effectiveness and stability of the intelligent prediction results. DETAILED DESCRIPTION

[0009] For overhead transmission lines, among the overvoltages caused by lightning, one is that the electrical equipment and lines of the overhead transmission lines are struck by lightning and become the discharge path of the strong lightning current, which is called direct lightning overvoltage. The so-called direct lightning overvoltage, that is, the voltage generated by direct lightning, is also called conduction overvoltage. After the overhead transmission line is directly struck by lightning, a high-voltage shock wave is formed. When the pilot channel of the lightning discharge does not hit the ground, but hits the conductor, pole tower or other buildings of the transmission line, a large amount of lightning current passes through the struck object, generating a voltage drop on the impedance grounding resistance of the struck object, causing a very high potential to appear at the struck point, which is the direct lightning overvoltage.

[0010] In the prior art, the measurement of the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line either obtains the maximum amplitude of the direct lightning overvoltage in the past or the maximum amplitude of the direct lightning overvoltage in real time. There is a lack of a targeted prediction mechanism for the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line in the future time interval, resulting in a failure to provide sufficient response time for the formulation of subsequent response measures.

[0011] The implementation scheme of the overhead power transmission line safety management system of the present invention will be described in detail below.

[0012] The overhead power transmission line safety management system shown in embodiment A of the present invention includes: A line detection device, used to obtain various line parameters of the overhead transmission line, wherein the various line parameters of the overhead transmission line are the line length, line cross-sectional area and transmission voltage value of the overhead transmission line; Specifically, the line detection device is used to obtain various line parameters of the overhead transmission line, and the various line parameters of the overhead transmission line are the line length, line cross-sectional area and transmission voltage value of the overhead transmission line, including: a plurality of different parameter detection components can be selected to respectively obtain the line length, line cross-sectional area and transmission voltage value of the overhead transmission line; The visual monitor comprises two overhead monitoring components respectively arranged at the tops of two transmission line iron towers on both sides of the overhead transmission line, and used to respectively perform image sensing actions on the airspace directly above the transmission line iron towers where the two components are located, so as to respectively obtain two frames of overhead sensing images, and perform splicing processing on the two frames of overhead sensing images to obtain a corresponding spliced ​​combined image; A content capture device connected to the visual monitor is used to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within a time interval of a set time after the image sensing action is performed using an AI prediction model based on a set time length, various line parameters of the overhead transmission line, depth of field values, color component values, and coordinate values ​​of each pixel point in the cloud imaging area in the spliced ​​combined image; A data forwarding device, connected to the content capturing device, for forwarding the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within a time interval of a set time length after the image sensing action is executed as the predicted maximum amplitude to a remote transmission line management server via a wireless communication link; Among them, the AI ​​prediction model is used to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within the time interval of the set time after the image sensing action is performed based on the set time, various line parameters of the overhead transmission line, the depth of field value, color component value and coordinate value of each pixel point in the cloud imaging area in the spliced ​​combined image, including: the AI ​​prediction model is a deep neural network after completing a set number of multiple learnings, and the value of the set number is proportional to the line length of the overhead transmission line; Wherein, the visual monitor comprises two overhead monitoring components respectively arranged at the tops of two transmission line iron towers on both sides of the overhead transmission line, and is used to respectively perform image sensing actions on the airspace directly above the transmission line iron towers where they are located, so as to respectively obtain two frames of overhead sensing images, and perform splicing processing on the two frames of overhead sensing images to obtain corresponding spliced ​​combined images, including: the visual monitor also comprises a synchronous trigger component, which is used to respectively connect with the two overhead monitoring components, and is used to realize the synchronous processing of the execution of the image sensing actions of the two overhead monitoring components; Among them, the AI ​​prediction model is used to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within the time interval of the set time after the image sensing action is performed based on the set time, various line parameters of the overhead transmission line, the depth of field value, color component value and coordinate value of each pixel point in the cloud imaging area in the spliced ​​combined image, including: the color component value of each pixel point in the cloud imaging area in the spliced ​​combined image is the R component value, G component value and B component value of the pixel point in the RGB color space.

[0013] The internal structure of the overhead power transmission line safety management system shown in Embodiment B of the present invention is as follows.

[0014] Compared with implementation scheme A, the overhead power transmission line safety management system shown in implementation scheme B may also include the following components: A field storage device is connected to the line detection device, the visual monitor, the content capture device and the data forwarding device respectively, and is used to provide data temporary storage services for the line detection device, the visual monitor, the content capture device and the data forwarding device in a time-sharing manner; The field storage device is respectively connected to the line detection device, the visual monitor, the content capture device and the data forwarding device, and is used to provide data temporary storage services for the line detection device, the visual monitor, the content capture device and the data forwarding device in a time-sharing manner, including: the line detection device, the visual monitor, the content capture device and the data forwarding device are respectively connected to the field storage device using different data channels; Among them, the field storage device is connected to the line detection device, the visual monitor, the content capture device and the data forwarding device respectively, and is used to provide data temporary storage services for the line detection device, the visual monitor, the content capture device and the data forwarding device in a time-sharing manner, including: the line detection device, the visual monitor, the content capture device and the data forwarding device use the same reference clock signal.

[0015] The internal structure of the overhead power line safety management system shown in Embodiment C of the present invention is as follows.

[0016] Compared with implementation scheme A, the overhead power transmission line safety management system shown in implementation scheme C may also include the following components: A content display device, connected to the line detection device, the visual monitor, the content capture device and the data forwarding device respectively, for simultaneously displaying various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device; Wherein, the content display device is connected to the line detection device, the visual monitor, the content capture device and the data forwarding device respectively, and is used to simultaneously display various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device, including: the various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device displayed simultaneously includes the sleep state or working state of the line detection device, the visual monitor, the content capture device and the data forwarding device; Wherein, the content display device is connected to the line detection device, the visual monitor, the content capture device and the data forwarding device respectively, and is used to simultaneously display various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device, and further includes: the content display device is a liquid crystal display screen or an LED display array; Wherein, the content display device is connected to the line detection device, the visual monitor, the content capture device and the data forwarding device respectively, and is used to simultaneously display various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device, and further includes: the LED display array is composed of a plurality of LED display units arranged in a rectangular matrix mode; And wherein, the content display device is respectively connected to the line detection device, the visual monitor, the content capture device and the data forwarding device, and is used to simultaneously display various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device, and also includes: the structure of the multiple LED display units arranged in a rectangular matrix pattern is the same.

[0017] In addition, in the overhead power transmission line safety management system, the AI ​​prediction model is used to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead power transmission line within the time interval of the set time after the image sensing action is executed based on the set time, various line parameters of the overhead power transmission line, the depth of field value, color component value and coordinate value of each pixel point in the cloud body imaging area in the spliced ​​combined image, and also includes: the coordinate value of each pixel point in the cloud body imaging area in the spliced ​​combined image is the horizontal coordinate value and the vertical coordinate value of the pixel point in the two-dimensional coordinate system; And wherein, the AI ​​prediction model is used to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within a time interval of a set time after the image sensing action is executed based on the set time length, various line parameters of the overhead transmission line, the depth of field value, color component value and coordinate value of each pixel point in the cloud imaging area in the spliced ​​combined image, and also includes: using the MATLAB toolbox to complete the simulation and testing of the intelligent prediction process.

[0018] The overhead transmission line safety management system of the present invention solves the technical problem in the prior art that the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line in the future time interval is difficult to effectively predict. By adopting an artificial intelligence model to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line in the future time interval based on multiple targeted screened basic information, the intelligent prediction of the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line in the future time interval is completed, thereby improving the intelligence level of overhead transmission line management.

[0019] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An overhead power transmission line safety management system, characterized in that: The system comprises: A line detection device, used to obtain various line parameters of the overhead transmission line, wherein the various line parameters of the overhead transmission line are the line length, line cross-sectional area and transmission voltage value of the overhead transmission line; The visual monitor comprises two overhead monitoring components respectively arranged at the tops of two transmission line iron towers on both sides of the overhead transmission line, and used to respectively perform image sensing actions on the airspace directly above the transmission line iron towers where the two components are located, so as to respectively obtain two frames of overhead sensing images, and perform splicing processing on the two frames of overhead sensing images to obtain a corresponding spliced ​​combined image; A content capture device connected to the visual monitor is used to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within a time interval of a set time after the image sensing action is performed using an AI prediction model based on a set time length, various line parameters of the overhead transmission line, depth of field values, color component values, and coordinate values ​​of each pixel point in the cloud imaging area in the spliced ​​combined image; A data forwarding device, connected to the content capturing device, for forwarding the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within a time interval of a set time length after the image sensing action is executed as the predicted maximum amplitude to a remote transmission line management server via a wireless communication link; Among them, the AI ​​prediction model is used to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within the time interval of the set time after the image sensing action is performed based on the set time, various line parameters of the overhead transmission line, the depth of field value, color component value and coordinate value of each pixel point in the cloud imaging area in the spliced ​​combined image, including: the AI ​​prediction model is a deep neural network after completing a set number of multiple learnings, and the value of the set number is proportional to the line length of the overhead transmission line; Among them, the visual monitor includes two overhead monitoring components respectively arranged on the top of two transmission line towers on both sides of the overhead transmission line, which are used to perform image sensing actions on the airspace directly above the transmission line towers respectively, so as to obtain two frames of overhead sensing images respectively, and perform splicing processing on the two frames of overhead sensing images to obtain corresponding spliced ​​combined images, including: the visual monitor also includes a synchronization trigger component, which is used to connect with the two overhead monitoring components respectively, so as to realize the synchronous processing of the execution of the image sensing actions of the two overhead monitoring components.

2. The overhead power transmission line safety management system according to claim 1, characterized in that: The AI ​​prediction model is used to intelligently predict the maximum amplitude of the direct lightning overvoltage generated on the overhead transmission line within a time interval of a set time after the image sensing action is performed based on the set time length, various line parameters of the overhead transmission line, depth of field values, color component values ​​and coordinate values ​​of each pixel point in the cloud imaging area in the spliced ​​combined image, including: the color component value of each pixel point in the cloud imaging area in the spliced ​​combined image is the R component value, G component value and B component value of the pixel point in the RGB color space.

3. The overhead power transmission line safety management system according to claim 2, characterized in that: The system further comprises: A field storage device is connected to the line detection device, the visual monitor, the content capture device and the data forwarding device respectively, and is used to provide data temporary storage services for the line detection device, the visual monitor, the content capture device and the data forwarding device in a time-sharing manner; Among them, the field storage device is connected to the line detection device, the visual monitor, the content capture device and the data forwarding device respectively, and is used to provide data temporary storage services for the line detection device, the visual monitor, the content capture device and the data forwarding device in a time-sharing manner, including: the line detection device, the visual monitor, the content capture device and the data forwarding device are connected to the field storage device respectively using different data channels.

4. The overhead power transmission line safety management system according to claim 3, characterized in that: The field storage device is respectively connected to the line detection device, the visual monitor, the content capture device and the data forwarding device, and is used to provide data temporary storage services for the line detection device, the visual monitor, the content capture device and the data forwarding device in a time-sharing manner, including: the line detection device, the visual monitor, the content capture device and the data forwarding device use the same reference clock signal.

5. The overhead power transmission line safety management system according to claim 2, characterized in that: The system further comprises: The content display device is connected to the line detection device, the visual monitor, the content capture device and the data forwarding device respectively, and is used to simultaneously display various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device.

6. The overhead power transmission line safety management system according to claim 5, characterized in that: The content display device is connected to the line detection device, the visual monitor, the content capture device and the data forwarding device respectively, and is used to simultaneously display various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device, including: the various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device displayed simultaneously includes the sleep state or working state of the line detection device, the visual monitor, the content capture device and the data forwarding device.

7. The overhead power transmission line safety management system according to claim 6, characterized in that: A content display device is respectively connected to the line detection device, the visual monitor, the content capture device and the data forwarding device, and is used to simultaneously display various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device, and also includes: the content display device is a liquid crystal display screen or an LED display array.

8. The overhead power transmission line safety management system according to claim 7, characterized in that: The content display device is respectively connected to the line detection device, the visual monitor, the content capture device and the data forwarding device, and is used to simultaneously display various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device. It also includes: the LED display array is composed of multiple LED display units arranged in a rectangular matrix pattern.

9. The overhead power transmission line safety management system according to claim 8, characterized in that: The content display device is respectively connected to the line detection device, the visual monitor, the content capture device and the data forwarding device, and is used to simultaneously display various status information of the line detection device, the visual monitor, the content capture device and the data forwarding device, and also includes: the structure of the multiple LED display units arranged in a rectangular matrix pattern is the same.

Citation Information

Patent Citations

  • Power transmission line operation risk assessment method considering various external factors

    CN119067433A