Real-time displacement monitoring method and system for tension test of horizontal acting force of ground wire

Abstract

The invention relates to a real-time displacement monitoring method and a real-time displacement monitoring system for a horizontal exerting tension test of a ground wire, and belongs to the technical field of intelligent test. The method comprises the steps of obtaining an adjacent line image sequence, and obtaining an adjacent line enhanced image through a three-dimensional fusion preprocessing model according to the adjacent line image sequence; obtaining a multi-dimensional texture picture through a texture reconstruction model according to the adjacent texture enhanced image; according to the multi-dimensional texture picture, obtaining texture change characteristics through a texture analysis model, and according to the texture change characteristics, obtaining actual tension displacement through displacement calculation; and outputting a ground wire performance evaluation result through the performance evaluation model according to the actual tension displacement. And real-time displacement monitoring of the horizontal acting tension test of the ground wire is realized.

Description

Technical Field

[0001] The invention belongs to the technical field of intelligent testing, and in particular relates to a real-time displacement monitoring method and system for a ground wire horizontal force tension test. Background Art

[0002] In modern electronic equipment and power systems, the stability of the ground wire and its connector directly affects the safety and reliability of the equipment. The ground wire will be subjected to external forces during operation. Especially when subjected to overload tension, the connection part of the connector may undergo slight displacement or even gradually loosen, affecting the accuracy of parameter calculation. Therefore, for the tension test of the ground wire, mechanical sensors or displacement sensors are usually used for real-time monitoring to evaluate its stress state and stability.

[0003] However, in the actual test process, the traditional displacement measurement method has certain limitations. On the one hand, the tiny displacement of the connection part under the action of tension is often difficult to be captured in real time and accurately by ordinary sensors, resulting in data lag or measurement errors. On the other hand, the displacement of the connector in the loosening direction will interfere with the measurement system, causing the displacement recorded by the sensor to deviate from the actual force situation, affecting the accuracy of the test. This error may lead to erroneous test results, making it difficult to accurately evaluate the stress state of the ground wire, and thus affecting the design and construction of the transmission line. The current method is to mark the connection of the ground wire, monitor the displacement by observing the position change of the mark by the operator, and then measure it after the test is completed. Since the tension test is a test process of dynamically increasing the load, it is difficult to obtain more effective data if the changes in load and displacement cannot be measured in time. Therefore, how to effectively distinguish the real displacement of the connector under the action of overload tension from the interference displacement in the loosening direction, improve the real-time and accuracy of the measurement, and ensure the long-term stability and reliability of the ground wire connection. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, the present invention provides a method and system for real-time displacement monitoring of a ground wire horizontal tension test. The purpose of the present invention can be achieved through the following technical solutions: A method for real-time displacement monitoring of a ground wire lying force tension test, comprising: S1: Acquire an adjacent texture image sequence, and obtain an adjacent texture enhanced image through a three-dimensional fusion preprocessing model according to the adjacent texture image sequence; S2: Obtaining a multi-dimensional texture image through a texture reconstruction model according to the adjacent texture enhancement image; S3: obtaining a texture change feature through a texture analysis model according to the multi-dimensional texture image, and obtaining an actual tensile force displacement through displacement calculation according to the texture change feature; S4: Output the performance evaluation result of the conductor and ground wire through the performance evaluation model according to the actual tensile displacement

[0005] Preferably, the three-dimensional fusion preprocessing model includes: S101: Obtain the adjacent texture reference image sequence through filtering according to the adjacent texture image sequence; S102: Remove the adjacent texture reference image sequence from the adjacent texture image sequence to obtain the high-frequency component; S103: Obtain the adjacent texture enhanced image through the strain-depth joint enhancement model according to the high-frequency component and the adjacent texture reference image sequence; The calculation expression of the strain-depth joint enhancement model is: , where I enhanced is the adjacent texture enhanced image, I smooth is the adjacent texture reference image sequence, I high is the high-frequency component, λ 1 、λ 2 、γ is the weight parameter, ▽ 2 is the second-order Laplacian operator, tanh represents the hyperbolic tangent function, is the modulus of the three-dimensional gradient vector, Tr(ε) is the trace.

[0006] Preferably, the texture reconstruction model includes: S201: Obtain the local texture feature and the global texture feature through feature extraction according to the adjacent texture enhanced image; S202: Obtain the local texture enhanced feature through fitness adjustment according to the local texture feature; S203: Obtain the multi-dimensional texture basic image through the reconstruction function according to the local texture enhanced feature and the global texture feature; The expression of the reconstruction function is: , where I r represents the multi-dimensional texture basic image, i represents the i-th local texture, N represents the number of local textures, β i 、 γ are the weight coefficients for local and global feature fusion is the local texture enhancement feature, T g is the global texture feature; S204: Obtain the multi-dimensional texture picture through a texture enhancement model according to the multi-dimensional texture base image.

[0007] Preferably, the texture enhancement model is expressed as: , wherein, L represents the texture enhancement model, λ 1 , λ 2 are balance coefficients, I r represents the multi-dimensional texture base image, I represents the adjacent texture enhancement image, represents the pixel difference between the multi-dimensional texture base image and the adjacent texture enhancement image, is a constraint function used to constrain the consistency between the local texture feature and the global texture feature.

[0008] Preferably, the texture analysis model includes: S301: Obtain multi-dimensional texture local features through feature extraction according to the multi-dimensional texture picture; S302: Obtain multi-dimensional texture global features through feature extraction by a multi-head attention mechanism according to the multi-dimensional texture picture; S303: Obtain multi-dimensional texture comprehensive features through feature fusion according to the multi-dimensional texture local features and the multi-dimensional texture global features; S304: Obtain multi-dimensional texture comprehensive temporal features by adding a timestamp according to the multi-dimensional texture comprehensive features; S305: Obtain the texture change feature through texture change calculation according to the multi-dimensional texture comprehensive temporal features.

[0009] Preferably, the displacement calculation expression is: , wherein, d r is the actual tensile displacement amount, W d is the weight coefficient, ∆τ is the texture change feature, b d is the bias.

[0010] Preferably, the performance evaluation model includes: S401: Calculate the performance score of the ground wire based on the actual tensile displacement through performance scoring; The expression for calculating the performance score is: , where, P is the performance score of the ground wire, σ is the activation function, W p is the weight coefficient, d r is the actual tensile displacement, b p is the bias; S402: Preset a performance threshold, and output the performance evaluation result of the ground wire through performance judgment based on the performance threshold and the performance score of the ground wire; The expression for the performance judgment is: , where, S represents the performance evaluation result of the ground wire, P is the performance score of the ground wire, and Pth1 and Pth2 are the performance thresholds.

[0011] A real-time displacement monitoring system for the lying force tensile test of a ground wire, including an image processing module, a texture reconstruction module, a displacement calculation module, and a performance evaluation module, includes: The image processing module is used to obtain a sequence of adjacent texture images, and obtain an enhanced adjacent texture image through a three-dimensional fusion preprocessing model according to the sequence of adjacent texture images; The texture reconstruction module is used to obtain a multi-dimensional texture picture through a texture reconstruction model according to the enhanced adjacent texture image; The displacement calculation module is used to obtain the texture change characteristics through a texture analysis model according to the multi-dimensional texture picture, and calculate the actual tensile displacement according to the texture change characteristics; The performance evaluation module is used to output the performance evaluation result of the ground wire through a performance evaluation model according to the actual tensile displacement.

[0012] An electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the above-mentioned real-time displacement monitoring method for the lying force tensile test of the ground wire is implemented.

[0013] A storage medium containing computer-executable instructions, where the computer-executable instructions are used to execute the above-mentioned real-time displacement monitoring method for the lying force tensile test of the ground wire when executed by a computer processor.

[0014] The beneficial effects of the present invention are: (1) The adjacent texture image is enhanced through a three-dimensional fusion preprocessing model. By jointly enhancing the high-frequency components and the reference image sequence, the refined processing of the adjacent texture is realized, and the recognizability of the texture features is improved.

[0015] (2) Feature extraction and fusion are performed through a multi-dimensional texture reconstruction model. By adjusting the adaptability of local and global texture features, the accurate reconstruction of complex texture structures is realized, and the integrity and accuracy of texture information are improved.

[0016] (3) The texture change is calculated through a multi-head attention mechanism and temporal feature analysis. By fusing local and global features and combining time series analysis, the accurate capture of the texture change trend is realized, and the calculation accuracy of the actual tensile displacement is improved. Description of the Drawings

[0017] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0018] Figure 1 It is a schematic flow chart of a real-time displacement monitoring method for the lying force tensile test of a ground wire. Detailed Embodiments

[0019] To further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following will describe in detail the specific embodiments, structures, features and their effects of the present invention with reference to the accompanying drawings and preferred embodiments.

[0020] Please refer to Figure 1 , a real-time displacement monitoring method for the lying force tensile test of a ground wire, including: S1: Obtain an adjacent texture image sequence, and obtain an enhanced adjacent texture image through a three-dimensional fusion preprocessing model according to the adjacent texture image sequence; S2: Obtain a multi-dimensional texture picture through a texture reconstruction model according to the enhanced adjacent texture image; S3: Obtain texture change features through a texture analysis model according to the multi-dimensional texture picture, and obtain the actual tensile displacement through displacement calculation according to the texture change features; S4: Output the ground wire performance evaluation result through a performance evaluation model according to the actual tensile displacement.

[0021] Specifically, the adjacent texture image sequence is to monitor and photograph the ground wire texture in the adjacent area of the connector in real time from the x-axis, y-axis, and z-axis directions.

[0022] Specifically, in step S1, the three-dimensional fusion preprocessing model includes: S101: Obtain the adjacent texture reference image sequence through filtering according to the adjacent texture image sequence; S102: Remove the adjacent texture reference image sequence from the adjacent texture image sequence to obtain the high-frequency component; S103: Obtain the adjacent texture enhanced image through the strain-depth joint enhancement model according to the high-frequency component and the adjacent texture reference image sequence; The calculation expression of the strain-depth joint enhancement model is: , where, I enhanced is the adjacent texture enhanced image, I smooth is the adjacent texture reference image sequence, I high is the high-frequency component, λ 1 、λ 2 、γ is the weight parameter, ▽ 2 is the second-order Laplacian operator, tanh represents the hyperbolic tangent function, is the modulus of the three-dimensional gradient vector, Tr(ε) is the trace.

[0023] Specifically, in step S2, the texture reconstruction model includes: S201: Obtain the local texture feature and the global texture feature through feature extraction according to the adjacent texture enhanced image; S202: Obtain the local texture enhanced feature through fitness adjustment according to the local texture feature; The fitness adjustment is expressed as: , where, is the local texture enhanced feature, α is the weight parameter, T l is the local texture feature, W(T g , T l ) represents the local and global texture interaction mapping function; S203: Obtain the multi-dimensional texture basic image through the reconstruction function according to the local texture enhanced feature and the global texture feature; The expression of the reconstruction function is: , Among them, I r represents the multi-dimensional texture base image, i represents the i-th local texture, N represents the number of local textures, β i and γ are the weight coefficients for the fusion of local and global features, is the enhanced local texture feature, T g is the global texture feature; S204: Obtain the multi-dimensional texture image according to the multi-dimensional texture base image through the texture enhancement model; The texture enhancement model is expressed as: , Among them, L represents the texture enhancement model, λ 1 and λ 2 are balance coefficients, I r represents the multi-dimensional texture base image, I represents the adjacent texture enhancement image, represents the pixel difference between the multi-dimensional texture base image and the adjacent texture enhancement image, is a constraint function used to constrain the consistency between the local texture feature and the global texture feature.

[0024] In this embodiment, in the adaptability adjustment, the weight α = 0.6, and the global feature interaction function W(T g , T l ) adopts cosine similarity mapping. When the difference between the local texture feature T l and the global feature T g exceeds 30%, α is adaptively reduced to 0.4 to avoid overfitting. In the reconstruction function, β i takes the local feature saliency (calculated by the Sobel operator), and γ = 0.3. Through the above settings, the texture reconstruction effect is better.

[0025] Specifically, in step S3, the texture analysis model includes: S301: Obtain the multi-dimensional texture local feature through feature extraction according to the multi-dimensional texture image; S302: Obtain the multi-dimensional texture global feature through feature extraction according to the multi-dimensional texture image by means of the multi-head attention mechanism; S303: Obtain the multi-dimensional texture comprehensive feature through feature fusion according to the multi-dimensional texture local feature and the multi-dimensional texture global feature; S304: Obtain the comprehensive multi - dimensional texture time - series features by adding a time stamp according to the comprehensive multi - dimensional texture features; S305: Calculate the texture change features according to the comprehensive multi - dimensional texture time - series features through texture change calculation; The texture change calculation expression is: , where, ∆τ is the texture change feature, FC(h t ) represents calculating the texture change feature through a fully - connected layer, h t is the hidden state at the current moment, T n is the comprehensive multi - dimensional texture time - series feature, h t-1 is the hidden state at the previous moment, LSTM is the long short - term memory network.

[0026] Specifically, the displacement calculation expression is: , where, d r is the actual tensile displacement amount, W d is the weight coefficient, ∆τ is the texture change feature, b d is the bias.

[0027] In this embodiment, an LSTM network (with a hidden - layer dimension of 128) is used to process the comprehensive multi - dimensional texture time - series features. The time window is set to 10 frames (Δt = 0.5 s), and the output dimension of the fully - connected layer is 3 (corresponding to the displacements of the x, y, and z axes).

[0028] Specifically, in step S4, the performance evaluation model includes: S401: Obtain the conductor performance score by performance scoring according to the actual tensile displacement amount; The performance scoring calculation expression is: , where, P is the conductor performance score, σ is the activation function, W p is the weight coefficient, d r is the actual tensile displacement amount, b pis the offset; S402: preset a performance threshold, and output the performance evaluation result of the ground wire through performance judgment according to the performance threshold and the performance score of the ground wire; The expression of the performance judgment is: , where S represents the performance evaluation result of the ground wire, P is the performance score of the ground wire, and Pth1 and Pth2 are the performance thresholds.

[0029] A real-time displacement monitoring system for the lying force tension test of a ground wire, including an image processing module, a texture reconstruction module, a displacement calculation module, and a performance evaluation module, includes: The image processing module is used to obtain a sequence of adjacent texture images, and obtain an enhanced adjacent texture image through a three-dimensional fusion preprocessing model according to the sequence of adjacent texture images; The texture reconstruction module is used to obtain a multi-dimensional texture picture through a texture reconstruction model according to the enhanced adjacent texture image; The displacement calculation module is used to obtain the texture change characteristics through a texture analysis model according to the multi-dimensional texture picture, and calculate the actual tensile displacement according to the texture change characteristics; The performance evaluation module is used to output the performance evaluation result of the ground wire through a performance evaluation model according to the actual tensile displacement.

[0030] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device.

[0031] A computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, in which computer-readable program code is carried. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.

[0032] The program code contained on a computer-readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire, optical fiber cable, RF, etc., or any suitable combination of the above. The computer program code for performing the operations of the present invention can be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0033] As described above, the above are only the preferred embodiments of the present invention and do not impose any formal limitations on the present invention. Although the present invention has been disclosed above with the preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or refinements to the equivalent embodiments by using the disclosed technical content within the scope of the technical solution of the present invention. However, as long as it does not depart from the content of the technical solution of the present invention, any simple modification, equivalent change, and refinement made to the above embodiments based on the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A method for real-time displacement monitoring of a ground wire during a horizontal tension test, characterized in that: The following steps are involved: S1: Acquire an adjacent texture image sequence, and obtain an adjacent texture enhanced image through a three-dimensional fusion preprocessing model according to the adjacent texture image sequence; S2: Obtaining a multi-dimensional texture image through a texture reconstruction model according to the adjacent texture enhancement image; S3: obtaining a texture change feature through a texture analysis model according to the multi-dimensional texture image, and obtaining an actual tensile force displacement through displacement calculation according to the texture change feature; S4: Outputting a ground wire performance evaluation result through a performance evaluation model according to the actual tension displacement.

2. The real-time displacement monitoring method for the ground wire lying force tensile test according to claim 1 is characterized in that: The three-dimensional fusion preprocessing model includes: S101: Obtaining an adjacent texture reference image sequence by filtering according to the adjacent texture image sequence; S102: removing the adjacent texture reference image sequence from the adjacent texture image sequence to obtain a high frequency component; S103: obtaining the adjacent texture enhanced image through a strain-depth joint enhancement model according to the high-frequency component and the adjacent texture reference image sequence; The calculation expression of the strain depth joint enhancement model is: ， in, I enhanced enhancing the image for the adjacent textures, I smooth is the adjacent texture reference image sequence, I high is the high frequency component, λ 1 , 2 , γ is the weight parameter, ▽ 2 is the second-order Laplace operator, tanh represents the hyperbolic tangent function, is the modulus of the three-dimensional gradient vector, Tr(ε) For traces.

3. The real-time displacement monitoring method for the ground wire lying tension test according to claim 1 is characterized in that: The texture reconstruction model includes: S201: obtaining local texture features and global texture features by feature extraction according to the adjacent texture enhancement image; S202: obtaining local texture enhancement features through adaptation adjustment according to the local texture features; S203: Obtaining a multi-dimensional texture basic image through a reconstruction function according to the local texture enhancement feature and the global texture feature; The reconstruction function expression is: ， in, I r represents the multi-dimensional texture basic image, i represents the i-th local texture, N Indicates the number of local textures, β i , γ is the weight coefficient of local and global feature fusion, For the local texture enhancement feature, T g is the global texture feature; S204: Obtain the multi-dimensional texture image through a texture enhancement model according to the multi-dimensional texture basic image.

4. The real-time displacement monitoring method for the ground wire lying force tension test according to claim 3 is characterized in that: The texture enhancement model is expressed as: ， in, L represents the texture enhancement model, λ 1 , λ 2 is the balance coefficient, I r represents the multi-dimensional texture basic image, I represents the adjacent texture enhanced image, represents the pixel difference between the multi-dimensional texture base image and the adjacent texture enhanced image, It is a constraint function used to constrain the consistency between local texture features and global texture features.

5. The real-time displacement monitoring method for the ground wire lying tension test according to claim 1 is characterized in that: The texture analysis model includes: S301: obtaining multi-dimensional texture local features by feature extraction according to the multi-dimensional texture image; S302: extracting features from the multi-dimensional texture image through a multi-head attention mechanism to obtain a multi-dimensional texture global feature; S303: Obtaining a multidimensional texture comprehensive feature by feature fusion according to the multidimensional texture local feature and the multidimensional texture global feature; S304: Obtaining a multi-dimensional texture comprehensive time series feature by adding a timestamp according to the multi-dimensional texture comprehensive feature; S305: Obtaining the texture change characteristics through texture change calculation according to the multi-dimensional texture comprehensive time series characteristics.

6. The real-time displacement monitoring method for the ground wire lying tension test according to claim 1 is characterized in that: The displacement calculation expression is: ， in, d r is the actual tensile displacement, W d is the weight coefficient, ∆τ is the texture variation characteristic, b d For bias.

7. The real-time displacement monitoring method for the ground wire lying tension test according to claim 1 is characterized in that: The performance evaluation model includes: S401: obtaining a ground wire performance score through performance score calculation according to the actual tension displacement; The performance score calculation expression is: ， in, P Score the performance of the ground conductor, σ is the activation function, W p is the weight coefficient, d r is the actual tensile displacement, b p is bias; S402: Preset a performance threshold, and output the ground wire performance evaluation result through performance judgment according to the performance threshold and the ground wire performance score; The expression for performance judgment is: ， Wherein, S represents the performance evaluation result of the ground wire, P is the performance score of the ground wire, and Pth1 and Pth2 are the performance thresholds.

8. A real-time displacement monitoring system for a ground wire horizontal force test, comprising an image processing module, a texture reconstruction module, a displacement calculation module, and a performance evaluation module, characterized in that: include: The image processing module is used to obtain an adjacent texture image sequence, and obtain an adjacent texture enhanced image according to the adjacent texture image sequence through a three-dimensional fusion preprocessing model; The texture reconstruction module is used to obtain a multi-dimensional texture image through a texture reconstruction model according to the adjacent texture enhancement image; The displacement calculation module is used to obtain the texture change characteristics through the texture analysis model according to the multi-dimensional texture image, and obtain the actual tension displacement through displacement calculation according to the texture change characteristics; The performance evaluation module is used to output the ground wire performance evaluation result through the performance evaluation model according to the actual tension displacement.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the real-time displacement monitoring method for the ground wire lying force tension test as described in any one of claims 1-7 is implemented.

10. A storage medium containing computer executable instructions, characterized in that: The computer executable instructions are used to execute the real-time displacement monitoring method for the lying tension test of the ground conductor as described in any one of claims 1-7 when executed by a computer processor.

Images