An overhead conductor sag remote measurement and early warning method and system

Abstract

An overhead conductor sag remote measurement and early warning method and system. The method comprises installing a sextant at a first end vertex of an overhead conductor between two base towers, remotely controlling the sextant by a main controller to measure the distance and angle from the first end vertex to the lowest point of the overhead conductor, and determining the overhead conductor sag according to the distance and angle; performing target recognition on an image captured by the sextant, and when a tree under the overhead conductor is recognized, measuring the current distance between the overhead conductor and the tree by the sextant, determining the last elimination time of the conductor-tree contact hazard according to the current distance and the recognized tree characteristics, and issuing a warning based on the last elimination time. The scheme of the present application realizes measurement and early warning of the overhead conductor sag.

Description

Technical Field

[0001] This invention belongs to the field of power transmission line design, and specifically relates to a method and system for remote measurement and early warning of overhead conductor sag. Background Technology

[0002] The sag of overhead conductors is one of the important parameters in the design, operation, and maintenance of transmission lines, and its magnitude directly affects the safe and stable operation of the transmission line. Currently, the span measurement of transmission lines mainly uses theodolites or total stations, which measure the span length through approximate methods. This method has the following main problems: High requirements for measurement conditions. Currently, theodolite or total station sag measurements mainly use the end-span method, the outside-span method, and the inside-span method, which are greatly affected by terrain, seriously impacting measurement efficiency. For complex terrain where the end-span method cannot be used, the outside-span and inside-span methods must be used, which involve complex measurement and calculation methods, are time-consuming and labor-intensive, and have low efficiency. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a remote measurement and early warning method and system for overhead conductor sag, thereby solving the technical problem of measuring and providing early warning of overhead conductor sag.

[0004] To solve the above-mentioned technical problems, the present invention adopts the following technical solution.

[0005] This invention first discloses a method for remote measurement and early warning of overhead conductor sag, the method comprising the following steps:

[0006] Step 1: Install a sextant at the first vertex of the overhead conductor on the two towers. Remotely control the sextant via the main controller to measure the distance and angle from the first vertex to the lowest point of the overhead conductor. Determine the sag of the overhead conductor based on the distance and angle.

[0007] Step 2: Perform target recognition on the image captured by the sextant. When a tree is detected under the overhead power line, use the sextant to measure the current distance between the overhead power line and the tree. Based on the current distance and the characteristics of the identified tree, determine the final time to eliminate the potential danger of the power line contacting the tree, and issue an early warning based on the final elimination time.

[0008] The present invention further includes the following preferred embodiments:

[0009] The step of determining the sag of the overhead conductor based on the distance and angle further includes:

[0010] If the conductor is suspended at the same height on two towers, adjust the direction and angle of the sextant, align the first sight glass of the sextant located at the first end of the conductor with the second end of the conductor, and align the second sight glass of the sextant and the infrared rangefinder with the lowest point of the conductor. Measure the angle α between the straight line from the first end of the conductor to the lowest point of the overhead conductor and the horizontal direction, and the distance m between the first end of the conductor and the lowest point of the conductor. Calculate the sag of the overhead conductor as f = m × sinα.

[0011] Determining the sag of the overhead conductor based on the distance and angle further includes:

[0012] If the conductor is suspended at different heights on the two towers, adjust the direction and angle of the sextant, align the first sight glass of the sextant located at the first end of the conductor with the second end of the conductor, adjust the second sight glass of the sextant to a horizontal position, measure the included angle β, and calculate θ = 90° - β.

[0013] Adjust the first sight glass of the sextant to a horizontal position, align the second sight glass of the sextant and the infrared rangefinder with the lowest point of the conductor, measure the angle α between the straight line from the first vertex to the lowest point of the overhead conductor and the horizontal direction, and the distance m between the first vertex and the lowest point of the conductor. Calculate the sag of the overhead conductor as f = m × sin(α + β) / sinθ.

[0014] The step of determining the final elimination time for the potential danger of the conductor contacting the tree based on the current distance and the identified tree characteristics further includes:

[0015] Based on the identified tree images, the system intelligently identifies the tree species and calculates the tree's growth rate X in the current season according to the pre-stored growth characteristics of the corresponding tree species in different seasons. Combining the minimum safe distance L between the overhead power line and the tree and the current closest distance λ, the system calculates the final elimination time T = 100 × (L - λ) / X for the potential danger of the tree under the power line.

[0016] The issuance of the warning based on the last elimination time further includes:

[0017] A warning is issued more than ten days before the final elimination time.

[0018] This invention also discloses an overhead conductor sag remote measurement and early warning system utilizing the aforementioned overhead conductor sag remote measurement and early warning method, comprising:

[0019] The measurement module is used to install a sextant at the first end of the overhead conductor of the two towers, and remotely control the sextant through the main controller to measure the distance and angle from the first end to the lowest point of the overhead conductor, and determine the sag of the overhead conductor based on the distance and angle.

[0020] The early warning module is used to identify targets in the images captured by the sextant. When a tree is identified under the overhead power line, the sextant is used to measure the current distance between the overhead power line and the tree. Based on the current distance and the characteristics of the identified tree, the final time for eliminating the potential danger of the power line contacting the tree is determined, and an early warning is issued based on the final elimination time.

[0021] Accordingly, this application also discloses a terminal, including a processor and a storage medium;

[0022] The storage medium is used to store instructions;

[0023] The processor is configured to operate according to the instructions to execute the steps of the aforementioned overhead conductor sag remote measurement and early warning method.

[0024] Accordingly, this application also discloses a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the aforementioned method for remote measurement and early warning of overhead conductor sag.

[0025] The beneficial effects of this invention are that, compared with the prior art, it provides a remote measurement and early warning method and system for overhead conductor sag. Utilizing an improved sextant, it remotely measures the conductor sag in real time without power interruption, and measures and provides early warnings of the minimum distance between trees and other lines below the conductor and the transmission line. This invention is convenient to operate and flexible in application, avoiding ground-based work on foot and reducing the labor intensity of sag measurement. It is particularly significant for sag measurement in sections with complex terrain, harsh geographical environments, and adverse weather conditions, such as mountains, rivers, and forests, where measurement under the conductor is unfavorable. It effectively solves problems such as difficult access, tree obstruction hindering sag measurement, and the inability to know the safe distance between the transmission line and trees or other crossing lines. Simultaneously, by intelligently identifying trees and judging their growth rate, it predicts safe distances in advance and provides early warnings of potential tree obstructions. Attached Figure Description

[0026] Figure 1 This is a diagram of the remote measurement and early warning architecture for overhead conductor sag in this invention.

[0027] Figure 2 This is a schematic diagram of the sag measurement arc at the conductor hanging point in this invention.

[0028] Figure 3 This is a magnified view of a portion of the invention.

[0029] Figure 4 This is a schematic diagram of the sag measurement of the conductor hanging point at unequal height in this invention.

[0030] Figure 5This is a schematic diagram of the distance measurement for tree obstruction hazards in this invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0032] The embodiments described in this application are merely some, not all, embodiments of the present invention. Based on the spirit of the present invention, other embodiments obtained by those skilled in the art without inventive effort are all within the protection scope of the present invention.

[0033] To address the shortcomings of existing technologies, this invention proposes a remote measurement and early warning method and system for overhead conductor sag. Utilizing an improved sextant, the method measures the conductor sag in real time remotely without power interruption, and also measures and provides early warnings for the minimum distance between trees and other lines below the conductor and the transmission line, thereby improving the work efficiency of power transmission operation and maintenance personnel.

[0034] like Figure 1 The aforementioned long-range conductor sag remote measurement and early warning architecture includes a main controller, an angle measurement module, a direction control module, a distance measurement module, a power supply module, a communication module, a memory, an intelligent identification module, an early warning module, and a display module. The main controller is connected to each of the following modules: angle measurement module, direction control module, distance measurement module, power supply module, communication module, early warning module, intelligent identification module, memory, and display module.

[0035] The direction control module is connected to the angle measurement module, and both are connected to the main controller. By adjusting the direction of the sextant and aligning it with the target object, the angle between the sextant and the target object can be measured by adjusting the first and second viewing mirrors. The second viewing mirror of the sextant is a telescope with a rangefinding function, which can measure the distance to the target object.

[0036] This invention enables real-time measurement of the sag of conductors and ground wires in the field, and can intelligently identify and warn of trees below the conductors and ground wires, making it easier for power transmission operation and maintenance personnel to quickly and dynamically grasp the safe distance information of power transmission lines.

[0037] The present invention discloses a remote measurement and early warning method for overhead conductor sag, comprising the following steps:

[0038] Step 1: Install a sextant at the first vertex of the overhead conductor on both towers. Remotely control the sextant via the main controller to measure the distance and angle from the first vertex to the lowest point of the overhead conductor. Determine the sag of the overhead conductor based on the distance and angle.

[0039] See Figure 3If the conductor is suspended at the same height on two towers, when measuring sag, adjust the direction and angle of the sextant. Align the first viewing mirror of the sextant, located at the first end of the conductor, with the other end of the conductor. Align the second viewing mirror of the sextant and the infrared rangefinder with the lowest point of the conductor. Measure the angle α between the straight line from the first end to the lowest point of the overhead conductor and the horizontal direction, and the distance m between the first end and the lowest point of the conductor. Then, calculate the sag of the overhead conductor as f = m × sinα. The sextant can be remotely controlled via the direction control module and its direction adjusted via the communication module to align with the object being measured. The angle measurement module adds a distance measurement function to the second viewing mirror, enabling distance measurement, and together with the first viewing mirror, it completes the angle measurement.

[0040] See Figure 4 If the conductor is suspended at unequal heights on two towers, when measuring the sag, adjust the direction and angle of the sextant. Align the first sight glass of the sextant, located at the first end of the conductor, with the other end of the conductor. Adjust the second sight glass of the sextant to a horizontal position and measure the included angle β. Then, θ = 90° - β. Next, adjust the first sight glass of the sextant to a horizontal position and align the second sight glass of the sextant and the infrared rangefinder with the lowest point of the conductor. Measure the angle α between the straight line from the first end of the conductor to the lowest point and the horizontal direction, and the distance m between the first end of the conductor and the lowest point. Based on the relationship between the sides and angles of a triangle, the conductor sag f = m × sin(α + β) / sinθ.

[0041] Step 2: Perform target recognition on the image captured by the sextant. When a tree is detected under the overhead power line, use the sextant to measure the current distance between the overhead power line and the tree. Based on the current distance and the characteristics of the identified tree, determine the last time to eliminate the potential hazard of the power line contacting the tree, and issue an early warning based on the last time to eliminate the hazard.

[0042] The intelligent recognition module accurately identifies the object to be tested by combining the objects observed in the first and second viewing mirrors with image recognition algorithms.

[0043] See Figure 5 When the power line is close to the trees below, a sextant is used to measure the distance between the power line and the trees, and the deadline for eliminating potential hazards between the power line and the trees is predicted based on the growth rate of the trees, so as to remind the power transmission and maintenance personnel to eliminate the defects in a timely manner.

[0044] First, adjust the direction and angle of the sextant, aligning the first sight glass of the sextant at the apex of the conductor with the lowest point of the conductor, and aligning the second sight glass of the sextant with the highest point of the tree. Measure the included angle β and the distance between one end of the conductor and the highest point of the tree; approximate the closest distance between the conductor and the tree λ = m × sinβ. Using an intelligent algorithm, based on the image of the tree below the conductor, intelligently identify the tree species. Based on the pre-stored growth characteristics of the corresponding tree species in different seasons, calculate its growth rate X cm / day in the current season. Combining the minimum safe distance L between the overhead conductor and the tree and the current closest distance λ, calculate the final elimination time T = 100 × (L - λ) / X for the potential hazard under the conductor, and issue an early warning more than ten days before the final elimination time.

[0045] In a specific embodiment, the image recognition process further includes:

[0046] Step 2.1: Image preprocessing.

[0047] First, noise in the image is removed by methods such as filtering to improve image clarity.

[0048] Adjust the image to a size suitable for the algorithm's processing to reduce computational load.

[0049] Converting a color image to a grayscale image reduces the image's complexity while preserving sufficient feature information.

[0050] Normalize and adjust parameters such as brightness and contrast of the image to make the image features more prominent.

[0051] Step 2.2: Extract representative feature information from the preprocessed image. These features can be pixel values, edges, textures, shapes, etc. This includes:

[0052] Edge detection: Extracting the contour features of objects (wires, branches, leaves, etc.) by detecting edge information in an image.

[0053] Corner detection: Identifying corner points in an image, which are often important feature points in the image.

[0054] Texture analysis: Analyzing the texture features in an image, such as texture direction and frequency.

[0055] Color histogram: A statistical analysis of the distribution of various colors in an image, serving as a color feature.

[0056] Alternatively, advanced feature extraction methods such as SIFT (Scale Invariant Feature Transform) and SURF (Speed ​​Robust Features) can be used, which can extract more complex and stable features.

[0057] Step 2.3. Feature representation.

[0058] After feature extraction, the extracted features are quantized and represented in a form that can be processed by a computer.

[0059] Step 2.4. Feature matching and classification.

[0060] By comparing the extracted features with the feature vectors of known patterns using metrics such as distance, similarity, or relative position, it can be determined whether they represent the same object or scene.

[0061] Based on feature matching, classification algorithms are used to classify images, including decision trees, random forests, and convolutional neural networks (CNNs).

[0062] Step 2.5. Result output and post-processing.

[0063] Based on the classification results, the recognition results are output to the user. Before outputting the results, post-processing operations can be performed, including removing misidentifications and optimizing the recognition results.

[0064] The beneficial effects of this invention are that, compared with the prior art, it provides a remote measurement and early warning method and system for overhead conductor sag. Utilizing an improved sextant, it remotely measures the conductor sag in real time without power interruption, and measures and provides early warnings of the minimum distance between trees and other lines below the conductor and the transmission line. This invention is convenient to operate and flexible in application, avoiding ground-based work on foot and reducing the labor intensity of sag measurement. It is particularly significant for sag measurement in sections with complex terrain, harsh geographical environments, and adverse weather conditions, such as mountains, rivers, and forests, where measurement under the conductor is unfavorable. It effectively solves problems such as difficult access, tree obstruction hindering sag measurement, and the inability to know the safe distance between the transmission line and trees or other crossing lines. Simultaneously, by intelligently identifying trees and judging their growth rate, it predicts safe distances in advance and provides early warnings of potential tree obstructions.

[0065] This invention can be a system, method, and / or computer program product. This invention also discloses an overhead conductor sag remote measurement and early warning system based on the aforementioned overhead conductor sag remote measurement and early warning method, comprising:

[0066] The measurement module is used to install a sextant at the first end of the overhead conductor of the two towers, and remotely control the sextant through the main controller to measure the distance and angle from the first end to the lowest point of the overhead conductor, and determine the sag of the overhead conductor based on the distance and angle.

[0067] The early warning module is used to identify targets in the images captured by the sextant. When a tree is identified under the overhead power line, the sextant is used to measure the current distance between the overhead power line and the tree. Based on the current distance and the characteristics of the identified tree, the final time for eliminating the potential danger of the power line contacting the tree is determined, and an early warning is issued based on the final elimination time.

[0068] Based on the spirit of this invention, those skilled in the art will readily conceive of a computer program product that can be obtained based on the aforementioned remote measurement and early warning method for overhead conductor sag. The computer program product may include a computer-readable storage medium on which computer-readable program instructions are loaded to enable a processor to implement various aspects of this disclosure. That is, this application also includes a terminal comprising a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps of the aforementioned remote measurement and early warning method for overhead conductor sag.

[0069] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example, but not limited to, electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0070] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0071] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A method for remote measurement and early warning of overhead conductor sag, characterized in that, Includes the following steps: Step 1: Install a sextant at the first vertex of the overhead conductor on the two towers. Remotely control the sextant via the main controller to measure the distance and angle from the first vertex to the lowest point of the overhead conductor. Determine the sag of the overhead conductor based on the distance and angle. Step 2: Perform target recognition on the image captured by the sextant. When a tree is detected under the overhead power line, use the sextant to measure the current distance between the overhead power line and the tree. Based on the current distance and the characteristics of the identified tree, determine the final elimination time for the potential danger of the power line contacting the tree, and issue an early warning based on the final elimination time. The step of determining the sag of the overhead conductor based on the distance and angle further includes: If the conductor is suspended at the same height on two towers, adjust the direction and angle of the sextant. Align the first sight glass of the sextant, located at the first end of the conductor, with the second end of the conductor. Align the second sight glass of the sextant and the infrared rangefinder with the lowest point of the conductor. Measure the angle α between the straight line from the first end to the lowest point of the overhead conductor and the horizontal direction, and the distance m between the first end and the lowest point of the conductor. Calculate the sag of the overhead conductor as f = m × sinα. The step of determining the sag of the overhead conductor based on the distance and angle further includes: If the conductor is suspended at different heights on the two towers, adjust the direction and angle of the sextant, align the first sight glass of the sextant located at the first end of the conductor with the second end of the conductor, adjust the second sight glass of the sextant to a horizontal position, measure the included angle β, and calculate θ = 90° - β. Adjust the first sight glass of the sextant to a horizontal position, align the second sight glass of the sextant and the infrared rangefinder with the lowest point of the conductor, measure the angle α between the straight line from the first vertex to the lowest point of the overhead conductor and the horizontal direction, and the distance m between the first vertex and the lowest point of the conductor. Calculate the sag of the overhead conductor as f = m × sin(α + β) / sinθ.

2. The method for remote measurement and early warning of overhead conductor sag according to claim 1, characterized in that, The step of determining the final elimination time for the potential danger of the conductor contacting the tree based on the current distance and the identified tree characteristics further includes: Based on the identified tree images, the system intelligently identifies the tree species and calculates the tree's growth rate X in the current season according to the pre-stored growth characteristics of the corresponding tree species in different seasons. Combining the minimum safe distance L between the overhead power line and the tree and the current closest distance λ, the system calculates the final elimination time T = 100 × (L - λ) / X for the potential danger of the tree under the power line.

3. The method for remote measurement and early warning of overhead conductor sag according to claim 2, characterized in that, The issuance of the warning based on the last elimination time further includes: A warning is issued more than ten days before the final elimination time.

4. A remote measurement and early warning system for overhead conductor sag, characterized in that, include: The measurement module is used to install a sextant at the first end of the overhead conductor of the two towers, and remotely control the sextant through the main controller to measure the distance and angle from the first end to the lowest point of the overhead conductor, and determine the sag of the overhead conductor based on the distance and angle. The early warning module is used to perform target recognition on the images captured by the sextant. When a tree is detected under the overhead power line, the sextant is used to measure the current distance between the overhead power line and the tree. Based on the current distance and the characteristics of the identified tree, the final elimination time of the potential danger of the power line contacting the tree is determined, and an early warning is issued based on the final elimination time. The measurement module is further used for: If the conductor is suspended at the same height on two towers, adjust the direction and angle of the sextant, align the first sight glass of the sextant located at the first end of the conductor with the second end of the conductor, and align the second sight glass of the sextant and the infrared rangefinder with the lowest point of the conductor. Measure the angle α between the straight line from the first end of the conductor to the lowest point of the overhead conductor and the horizontal direction, and the distance m between the first end of the conductor and the lowest point of the conductor. Calculate the sag of the overhead conductor as f = m × sinα. The measurement module is further used for: If the conductor is suspended at different heights on the two towers, adjust the direction and angle of the sextant, align the first sight glass of the sextant located at the first end of the conductor with the second end of the conductor, adjust the second sight glass of the sextant to a horizontal position, measure the included angle β, and calculate θ = 90° - β. Adjust the first sight glass of the sextant to a horizontal position, align the second sight glass of the sextant and the infrared rangefinder with the lowest point of the conductor, measure the angle α between the straight line from the first vertex to the lowest point of the overhead conductor and the horizontal direction, and the distance m between the first vertex and the lowest point of the conductor. Calculate the sag of the overhead conductor as f = m × sin(α + β) / sinθ.

5. The overhead conductor sag remote measurement and early warning system according to claim 4, characterized in that, The early warning module is further used for: Based on the identified tree images, the system intelligently identifies the tree species and calculates the tree's growth rate X in the current season according to the pre-stored growth characteristics of the corresponding tree species in different seasons. Combining the minimum safe distance L between the overhead power line and the tree and the current closest distance λ, the system calculates the final elimination time T = 100 × (L - λ) / X for the potential danger of the tree under the power line.

6. The overhead conductor sag remote measurement and early warning system according to claim 5, characterized in that, The early warning module is further used for: A warning is issued more than ten days before the final elimination time.

7. A terminal, comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps of the overhead conductor sag remote measurement and early warning method according to any one of claims 1-3.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the steps of the overhead conductor sag remote measurement and early warning method according to any one of claims 1-3.

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