Intelligent management system for power transmission network
By designing an intelligent management system for power transmission networks and using image processing and AI identification models, the problem that operating electricians find it difficult to accurately judge the distance between the grounding parts and themselves on high-voltage transmission lines is solved, and intelligent judgment and safety guarantees are achieved for the distance between the grounding parts and the operating electricians.
Patent Information
- Application Number
- CN202510222930.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-27
- Publication Date
- 2025-06-06
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
During the live operation of high-voltage transmission lines, it is difficult for operators to accurately determine whether the ground distance between the grounding component and themselves is less than or equal to the safe distance, which makes it difficult to ensure personal safety.
An intelligent management system for power transmission network is designed to obtain the replacement scene screen through image content capture actions, and generate the last-level conversion screen with better image quality through logarithmic transformation, white balance, Wiener filtering and median filtering. Then, using the AI identification model, based on the signal-to-noise ratio, noise type, grounding parts and geometric curve curvature values of the operating electrician, intelligently identify whether the grounding parts and operating electrician's real-ground interval distance is less than or equal to the safe interval distance.
It realizes the accurate and non-contact judgment of the ground distance between the grounding member and the operating electrician when replacing the tension insulator string in the transmission network, ensures the reliable and safe distance between the operating electrician and the grounding body, and improves the on-site personal safety guarantee of the operating electrician.
Smart Images
Figure CN120109697A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of power transmission networks, and more specifically, to an intelligent management system for power transmission networks. Background Art
[0002] Electric shock caused by electrostatic induction mainly corresponds to two situations. The first is that when the electrician wears insulating shoes at the tower window, because he is close to the live wire, the induced charge on the human body will be relatively large. For example, when you touch the tower body with your hand, you will feel a tingling sensation. The second is that when the ground workers touch the suspended metal fittings in a strong electric field, or touch the metal in the power-off equipment, they will be shocked by electrostatic induction. Therefore, during the live operation of high-voltage transmission lines, the operating electrician should wear a full set of shielding clothing or electrostatic protective clothing to ensure that all connecting wires are connected correctly to prevent electric shock caused by electrostatic induction.
[0003] At the same time, on an operating transmission line, when an operating electrician needs to climb a tower to work, he cannot wear insulating shoes, especially when the operating electrician wears shielding clothing or electrostatic protective clothing. If the operating electrician on the tower needs to touch a relatively long metal object on the transmission rope, grounding must be ensured, and the actual separation distance between the grounding piece and the operating electrician must be less than or equal to the safety separation distance to ensure the personal safety of the operating electrician. However, due to the complexity of the transmission line environment and the difficulty of field measurement, the prior art lacks a mechanism that can accurately and contactlessly execute whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance, resulting in the difficulty in reliably ensuring the on-site personal safety of the operating electrician. Summary of the invention
[0004] In order to solve the above-mentioned technical problems in the prior art, the present invention provides an intelligent management system for a power transmission network, which can perform an image content capture action on the replacement scene of replacing a tension insulator string to obtain and output the corresponding replacement scene picture. What is particularly critical is that the replacement scene picture is successively subjected to nonlinear transformation processing using logarithmic transformation, white balance processing using dynamic threshold, Wiener filtering processing and median filtering processing to obtain and output a final-stage conversion picture with better image quality, thereby providing more reliable basic information for subsequent intelligent identification, and also obtaining the various curvature values of the geometric curves corresponding to the sub-screen occupied by the grounding piece in the received final-stage conversion screen, as well as obtaining the various curvature values of the geometric curves corresponding to the sub-screen occupied by the operating electrician in the received final-stage conversion screen, and then based on the final-stage conversion The signal-to-noise ratio of the picture, the number of noise types in the final conversion picture, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion picture, the vertical resolution of the final conversion picture, and the various curvature values corresponding to the operating electrician use an AI recognition model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance. The AI recognition model is a radial basis neural network after completing each training. The number of training times of each training is positively correlated with the horizontal resolution of the final conversion picture and the vertical resolution of the final conversion picture, thereby completing the intelligent judgment of whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance, so as to maintain a reliable and safe distance between the operating electrician and the grounding body when replacing the tension insulator string in the transmission network.
[0005] According to the present invention, there is provided an intelligent management system for a power transmission network, the system comprising: The operation detection mechanism is used to detect whether the current power transmission network is in the replacement operation of replacing the tension insulator string, and when it is detected that the current power transmission network is in the replacement operation of replacing the tension insulator string, a replacement detection signal is issued, otherwise, a replacement non-detection signal is issued; A bird's-eye view capturing mechanism is disposed below the current power transmission network and connected to the operation detection mechanism, and is used to, upon receiving the replacement detection signal, use a bird's-eye view to perform an image content capturing action on a replacement scene of replacing a tension insulator string, so as to obtain and output a corresponding replacement scene picture; A primary conversion mechanism, connected to the overhead capture mechanism, for performing a nonlinear transformation process using a logarithmic transformation on the received scene change picture to obtain and output a corresponding primary conversion picture; A secondary conversion mechanism, connected to the primary conversion mechanism, for performing white balance processing using a dynamic threshold on the received primary conversion picture to obtain and output a corresponding secondary conversion picture; A final conversion mechanism, connected to the secondary conversion mechanism, for successively performing Wiener filtering and median filtering on the received secondary conversion picture to obtain and output a corresponding final conversion picture; A model application device is connected to the final conversion mechanism, and is used to obtain the various curvature values of the geometric curve corresponding to the sub-screen occupied by the grounding piece in the received final conversion screen, and to obtain the various curvature values of the geometric curve corresponding to the sub-screen occupied by the operating electrician in the received final conversion screen. Based on the signal-to-noise ratio of the final conversion screen, the number of noise types in the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician, an AI recognition model is used to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance. The AI recognition model is a radial basis neural network after completing each training, and the number of training times of each training is positively correlated with the horizontal resolution of the final conversion screen and the vertical resolution of the final conversion screen; Among them, based on the signal-to-noise ratio of the final conversion screen, the number of noise types in the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician, the AI identification model is used to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance, including: the AI identification model outputs a state identification mark indicating whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance; Among them, the AI identification model outputs a status identification mark indicating whether the actual separation distance between the grounding device and the operating electrician is less than or equal to the safety separation distance, including: status identification marks with different numerical values respectively indicating whether the actual separation distance between the grounding device and the operating electrician is less than or equal to the safety separation distance.
[0006] Therefore, the present invention has at least the following three beneficial technical effects: Firstly, the image content capture action is performed on the replacement scene of the replacement of the tension insulator string to obtain and output the corresponding replacement scene picture. It is particularly important to successively perform nonlinear transformation processing using logarithmic transformation, white balance processing using dynamic threshold, Wiener filtering processing and median filtering processing on the replacement scene picture to obtain and output the final conversion picture with better picture quality, providing more reliable basic information for subsequent intelligent recognition; Secondly: obtaining the curvature values of the geometric curves corresponding to the sub-screen occupied by the grounding piece in the received final conversion screen, and obtaining the curvature values of the geometric curves corresponding to the sub-screen occupied by the operating electrician in the received final conversion screen; Again: based on the signal-to-noise ratio of the final-stage conversion screen, the number of noise types in the final-stage conversion screen, the curvature values corresponding to the grounding piece, the horizontal resolution of the final-stage conversion screen, the vertical resolution of the final-stage conversion screen, and the curvature values corresponding to the operating electrician, an AI recognition model is used to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance. The AI recognition model is a radial basis function neural network after completing each training. The number of training times of each training is positively correlated with the horizontal resolution of the final-stage conversion screen and the vertical resolution of the final-stage conversion screen, thereby completing the intelligent judgment of whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance, so as to maintain a reliable and safe distance between the operating electrician and the grounding body when replacing the tension insulator string in the transmission network.
[0007] The power transmission network intelligent management system of the present invention is intelligently designed and easy to operate. Since it can perform an image content capture action on the replacement scene of replacing the tension insulator string to obtain and output the corresponding replacement scene screen, and use an AI recognition model based on various visual information in the replacement scene screen to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance, when replacing the tension insulator string in the power transmission network, a reliable and safe distance between the operating electrician and the grounding body is maintained. BRIEF DESCRIPTION OF THE DRAWINGS
[0008] Those skilled in the art may better understand the numerous advantages of the present invention by referring to the accompanying drawings, in which: Figure 1 It is a schematic diagram of the internal structure of the power transmission network intelligent management system according to the first embodiment of the present invention. DETAILED DESCRIPTION
[0009] The implementation scheme of the intelligent management system for power transmission network of the present invention will be described in detail below with reference to the accompanying drawings.
[0010] Figure 1 1 is a schematic diagram of the internal structure of an intelligent management system for a power transmission network according to a first embodiment of the present invention, the system comprising: The operation detection mechanism is used to detect whether the current power transmission network is in the replacement operation of replacing the tension insulator string, and when it is detected that the current power transmission network is in the replacement operation of replacing the tension insulator string, a replacement detection signal is issued, otherwise, a replacement non-detection signal is issued; A bird's-eye view capturing mechanism is disposed below the current power transmission network and connected to the operation detection mechanism, and is used to, upon receiving the replacement detection signal, use a bird's-eye view to perform an image content capturing action on a replacement scene of replacing a tension insulator string, so as to obtain and output a corresponding replacement scene picture; Specifically, the overhead capture mechanism is arranged below the current power transmission network and connected to the operation detection mechanism, and is used to perform an image content capture action on the replacement scene of replacing the tension insulator string using an overhead perspective when receiving the replacement detection signal, so as to obtain and output the corresponding replacement scene picture, including: the overhead capture mechanism has a built-in overhead lens and an image sensor component; A primary conversion mechanism, connected to the overhead capture mechanism, for performing a nonlinear transformation process using a logarithmic transformation on the received scene change picture to obtain and output a corresponding primary conversion picture; A secondary conversion mechanism, connected to the primary conversion mechanism, for performing white balance processing using a dynamic threshold on the received primary conversion picture to obtain and output a corresponding secondary conversion picture; A final conversion mechanism, connected to the secondary conversion mechanism, for successively performing Wiener filtering and median filtering on the received secondary conversion picture to obtain and output a corresponding final conversion picture; A model application device is connected to the final conversion mechanism, and is used to obtain the various curvature values of the geometric curve corresponding to the sub-screen occupied by the grounding piece in the received final conversion screen, and to obtain the various curvature values of the geometric curve corresponding to the sub-screen occupied by the operating electrician in the received final conversion screen. Based on the signal-to-noise ratio of the final conversion screen, the number of noise types in the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician, an AI recognition model is used to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance. The AI recognition model is a radial basis neural network after completing each training, and the number of training times of each training is positively correlated with the horizontal resolution of the final conversion screen and the vertical resolution of the final conversion screen; Among them, based on the signal-to-noise ratio of the final conversion screen, the number of noise types in the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician, the AI identification model is used to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance, including: the AI identification model outputs a state identification mark indicating whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance; The AI identification model outputs a status identification mark indicating whether the actual separation distance between the grounding device and the operating electrician is less than or equal to the safety separation distance, including: using status identification marks with different values to respectively indicate whether the actual separation distance between the grounding device and the operating electrician is less than or equal to the safety separation distance; Wherein, the AI identification model outputs a status identification mark indicating whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance, and further includes: the status identification mark is a binary value representation; Among them, based on the signal-to-noise ratio of the final conversion screen, the number of noise types of the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician, the AI recognition model is used to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance, and it also includes: converting the signal-to-noise ratio of the final conversion screen, the number of noise types of the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician into binary values respectively, and then inputting them into the AI recognition model in parallel; And wherein, the overhead capture mechanism is further used to temporarily suspend the image content capture action of the replacement scene of the replacement of the tension insulator string by using the overhead perspective when receiving the replacement non-detection signal; And wherein, based on the signal-to-noise ratio of the final conversion screen, the number of noise types of the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician, an internal control instruction of the step of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance is transmitted by the instruction control channel; And wherein, the internal control instruction of the step of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance based on the signal-to-noise ratio of the final conversion screen, the number of noise types of the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician is transmitted by the instruction control channel, including: the instruction control channel is operated and maintained by the SOC chip; And wherein, the internal control instruction of the step of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance based on the signal-to-noise ratio of the final conversion screen, the number of noise types of the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician is transmitted by the instruction control channel, including: the instruction control channel is operated and maintained by an ASIC chip; And wherein, based on the signal-to-noise ratio of the final conversion screen, the number of noise types of the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician, the intermediate data of the step of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance is transmitted to the network transmission interface; And wherein, the intermediate data of the step of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance based on the signal-to-noise ratio of the final conversion screen, the number of noise types of the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician is transmitted to the network transmission interface, including: the network transmission interface performs the transmission and reception of network data based on a time division duplex communication mechanism; And wherein, the intermediate data of the step of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance based on the signal-to-noise ratio of the final conversion screen, the number of noise types of the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician is transmitted to the network transmission interface, including: the network transmission interface performs network data transmission and reception based on a frequency division duplex communication mechanism; And wherein, based on the signal-to-noise ratio of the final-stage conversion screen, the number of noise types of the final-stage conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final-stage conversion screen, the vertical resolution of the final-stage conversion screen, and the various curvature values corresponding to the operating electrician, the intermediate data of the step of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance is transmitted to the network transmission interface, including: the network transmission interface performs network data reception and transmission based on the WIFI communication mechanism.
[0011] In addition, in the intelligent management system of the power transmission network, the use of an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance based on the signal-to-noise ratio of the final-stage conversion screen, the number of noise types of the final-stage conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final-stage conversion screen, the vertical resolution of the final-stage conversion screen, and the various curvature values corresponding to the operating electrician also includes: using a numerical simulation mode to simulate and test the data processing process of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance based on the signal-to-noise ratio of the final-stage conversion screen, the number of noise types of the final-stage conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final-stage conversion screen, the vertical resolution of the final-stage conversion screen, and the various curvature values corresponding to the operating electrician.
[0012] Although only exemplary embodiments of the present invention have been described in detail above, those skilled in the art will readily appreciate that many variations are possible in these exemplary embodiments without materially departing from the novel principles and advantages of the present invention. Accordingly, all such variations are intended to be included within the scope of the present invention as defined by the following claims. In the claims, means and function clauses are intended to include structures described herein as performing the recited functions, and include not only structural equivalents, but also equivalent structures.
Claims
1. An intelligent management system for a power transmission network, characterized in that: The system comprises: The operation detection mechanism is used to detect whether the current power transmission network is in the replacement operation of replacing the tension insulator string, and when it is detected that the current power transmission network is in the replacement operation of replacing the tension insulator string, a replacement detection signal is issued, otherwise, a replacement non-detection signal is issued; A bird's-eye view capturing mechanism is disposed below the current power transmission network and connected to the operation detection mechanism, and is used to, upon receiving the replacement detection signal, use a bird's-eye view to perform an image content capturing action on a replacement scene of replacing a tension insulator string, so as to obtain and output a corresponding replacement scene picture; A primary conversion mechanism, connected to the overhead capture mechanism, for performing a nonlinear transformation process using a logarithmic transformation on the received scene change picture to obtain and output a corresponding primary conversion picture; A secondary conversion mechanism, connected to the primary conversion mechanism, for performing white balance processing using a dynamic threshold on the received primary conversion picture to obtain and output a corresponding secondary conversion picture; A final conversion mechanism, connected to the secondary conversion mechanism, for successively performing Wiener filtering and median filtering on the received secondary conversion picture to obtain and output a corresponding final conversion picture; A model application device is connected to the final conversion mechanism, and is used to obtain the various curvature values of the geometric curve corresponding to the sub-screen occupied by the grounding piece in the received final conversion screen, and to obtain the various curvature values of the geometric curve corresponding to the sub-screen occupied by the operating electrician in the received final conversion screen. Based on the signal-to-noise ratio of the final conversion screen, the number of noise types in the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician, an AI recognition model is used to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance. The AI recognition model is a radial basis neural network after completing each training. The number of training times of each training is positively correlated with the horizontal resolution of the final conversion screen and is also positively correlated with the vertical resolution of the final conversion screen. The AI recognition model outputs state recognition identifiers with different values to respectively indicate whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance.
2. The intelligent management system for power transmission network according to claim 1, characterized in that: The AI identification model outputs a status identification mark indicating whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safety separation distance, and further includes: the status identification mark is a binary value representation; Among them, based on the signal-to-noise ratio of the final conversion screen, the number of noise types of the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician, the AI recognition model is used to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance, and it also includes: converting the signal-to-noise ratio of the final conversion screen, the number of noise types of the final conversion screen, the various curvature values corresponding to the grounding piece, the horizontal resolution of the final conversion screen, the vertical resolution of the final conversion screen, and the various curvature values corresponding to the operating electrician into binary values respectively, and then inputting them into the AI recognition model in parallel; The overhead view capture mechanism is further used to temporarily suspend the image content capture action of the replacement scene of the replacement of the tension insulator string by using the overhead view when receiving the replacement non-detection signal.
3. The intelligent management system for power transmission network according to claim 2, characterized in that: Based on the signal-to-noise ratio of the final-stage conversion screen, the number of noise types of the final-stage conversion screen, the curvature values corresponding to the grounding pieces, the horizontal resolution of the final-stage conversion screen, the vertical resolution of the final-stage conversion screen and the curvature values corresponding to the operating electrician, an AI identification model is used to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance. The internal control instructions of the step are transmitted through the instruction control channel.
4. The intelligent management system for power transmission network according to claim 3, characterized in that: Based on the signal-to-noise ratio of the final-stage conversion screen, the number of noise types in the final-stage conversion screen, the curvature values corresponding to the grounding piece, the horizontal resolution of the final-stage conversion screen, the vertical resolution of the final-stage conversion screen, and the curvature values corresponding to the operating electrician, an AI identification model is used to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance. The internal control instructions of the step are transmitted through the instruction control channel, including: the instruction control channel is operated and maintained by the SOC chip.
5. The intelligent management system for power transmission network according to claim 3, characterized in that: The internal control instructions of the step of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance based on the signal-to-noise ratio of the final-stage conversion screen, the number of noise types of the final-stage conversion screen, the curvature values corresponding to the grounding piece, the horizontal resolution of the final-stage conversion screen, the vertical resolution of the final-stage conversion screen, and the curvature values corresponding to the operating electrician are transmitted through the instruction control channel, including: the instruction control channel is operated and maintained by an ASIC chip.
6. The intelligent management system for power transmission network according to claim 2, characterized in that: Based on the signal-to-noise ratio of the final-stage conversion screen, the number of noise types of the final-stage conversion screen, the curvature values corresponding to the grounding parts, the horizontal resolution of the final-stage conversion screen, the vertical resolution of the final-stage conversion screen and the curvature values corresponding to the operating electrician, an AI identification model is used to intelligently identify whether the actual separation distance between the grounding parts and the operating electrician is less than or equal to the safe separation distance. The intermediate data of the step is transmitted to the network transmission interface.
7. The intelligent management system for power transmission network according to claim 6, characterized in that: The intermediate data of the step of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance based on the signal-to-noise ratio of the final-stage conversion screen, the number of noise types of the final-stage conversion screen, the curvature values corresponding to the grounding piece, the horizontal resolution of the final-stage conversion screen, the vertical resolution of the final-stage conversion screen, and the curvature values corresponding to the operating electrician is transmitted to the network transmission interface, including: the network transmission interface performs network data reception and transmission based on a time-division duplex communication mechanism.
8. The intelligent management system for power transmission network according to claim 6, characterized in that: The intermediate data of the step of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance based on the signal-to-noise ratio of the final-stage conversion screen, the number of noise types of the final-stage conversion screen, the curvature values corresponding to the grounding piece, the horizontal resolution of the final-stage conversion screen, the vertical resolution of the final-stage conversion screen, and the curvature values corresponding to the operating electrician is transmitted to the network transmission interface, including: the network transmission interface performs network data reception and transmission based on a frequency division duplex communication mechanism.
9. The intelligent management system for power transmission network according to claim 6, characterized in that: The intermediate data of the step of using an AI identification model to intelligently identify whether the actual separation distance between the grounding piece and the operating electrician is less than or equal to the safe separation distance based on the signal-to-noise ratio of the final-stage conversion screen, the number of noise types of the final-stage conversion screen, the curvature values corresponding to the grounding piece, the horizontal resolution of the final-stage conversion screen, the vertical resolution of the final-stage conversion screen, and the curvature values corresponding to the operating electrician is transmitted to the network transmission interface, including: the network transmission interface performs network data reception and transmission based on the WIFI communication mechanism.