Method for calculating jumper length of strain tower of power transmission line

Abstract

The invention discloses a power transmission line strain tower jumper length calculation method, relates to the technical field of power transmission lines, and solves the problem that the difficulty coefficient is too large during original data measurement. A cross arm area and a strain clamp area can be accurately determined through graying processing, calibration of gradient pixel points through a Sobel algorithm and comparison verification of a model assembly; the process effectively avoids the error and limitation of manual identification, improves the accuracy and reliability of feature region identification, and provides reliable basic data for subsequent calculation. By controlling the unmanned aerial vehicle to move horizontally and comparing image pixel values before and after the movement, whether an inclination angle exists in the cross arm area can be quickly judged, and the horizontal rotation angle alpha of the line is accurately calculated; compared with a traditional manual detection mode, the method is higher in efficiency and wider in detection range.

Description

Technical Field

[0001] The present invention relates to the technical field of transmission lines, and particularly to a method for calculating the jumper length of a strain tower on a transmission line. Background Art

[0002] The jumper of a strain tower on a transmission line is a special wire connecting the conductors on both sides of the strain tower, which plays a crucial role in the transmission line. In order to achieve the smooth flow of current between the conductors on both sides of the strain tower and ensure the continuous transmission of electricity; at the strain tower, the direction of the conductor is changed to make the line adapt to the terrain, cross obstacles, etc., and maintain the coherence and stability of the transmission line. It is generally composed of components such as conductors, insulator strings, and clamps; the shape of the jumper usually naturally hangs down in an approximately catenary shape, and the jumper span is small, the sag is large, and it is significantly affected by the rigidity of the conductor. Different jumper shapes are difficult to describe with a certain specific curve equation.

[0003] The application with the publication number CN117634209A discloses a method for calculating the jumper length under the difference in the sag of multi-split jumpers, which relates to the technical field of calculating the jumper length of a strain tower on a transmission line, including the construction of a coordinate system and a calculation unit; calculating the tangent inclination angles θ and coordinates of the intersection points C and D of the central axes of the conductors in the front and rear spans and the central axis of the jumper; determining the starting point coordinates of each split jumper and the coordinates of the starting point of the central axis of the split jumper in the three-dimensional coordinate system; calculating the three-dimensional coordinates of the end point O' of the jumper string; determining the coordinates of the lowest point LP of the central axis of the jumper according to the designed sag; determining the position coordinates of the split jumper at the same abscissa at the LP point; calculating the length of the split jumper; the two end points and the position of the lowest point of the central axis can fit a parabola, and the length of this parabola can be calculated to determine the length of the corresponding jumper. This method has a simple logic and can be quantitatively expressed.

[0004] During the calculation of its jumper length, relevant personnel need to determine the calculation data in advance. However, in the relevant measurement sites of actual transmission lines, the terrain is relatively complex, and there are great measurement difficulties for relevant measurement personnel during measurement. Therefore, a relatively simple measurement method is urgently needed to determine and measure relevant data to complete the specific calculation work of the jumper length. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides a method for calculating the jumper length of a strain tower on a transmission line, which solves the problem of too large difficulty coefficient in data measurement in the original.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A method for calculating the jumper length of a strain tower on a transmission line, including the following steps:

[0007] Step 1: Use a high-definition aerial photography drone to obtain images of designated positions on the transmission line. Grayscale the obtained images to confirm the grayscale images. Then, based on the gradient features of the pixel points inside the grayscale images, lock the feature areas. Verify the feature areas with a preset component model to determine the cross-arm area and the strain clamp area. The specific method is as follows:

[0008] Grayscale the obtained images to confirm the grayscale images: Based on the RGB values associated with the corresponding points in the images, confirm the grayscale values associated with the corresponding points. The grayscale value = 0.299R + 0.587G + 0.114B. Adjust the corresponding images based on the grayscale values associated with the corresponding points to confirm the grayscale images;

[0009] Use the Sobel algorithm to calibrate the gradient pixel points existing in the grayscale images in sequence. Based on the calibrated groups of gradient pixel points, calibrate the feature areas in the grayscale images: Confirm the horizontal gradient H i and the vertical gradient S i associated with the corresponding pixel points in the grayscale images through the Sobel algorithm, where i represents different pixel points, and Calibrate the pixel points that satisfy the comprehensive gradient > Y1 as gradient pixel points. Otherwise, do not perform any calibration. Y1 is a preset value. Denote the intermediate area included by several consecutive gradient pixel points as the feature area;

[0010] Denote the partial image associated with the feature area as the feature image. Compare and verify the preset model component with the feature image: Scale the model component proportionally and rotate the model component during the proportional scaling process. Execute several rotation processes to make the center point of the surface of the model component coincide with the center point associated with the feature image. Confirm the coincidence rate CF p of the model component and the feature image, where p represents different rotation processes. If there is a rotation process with CF p ≥ 95% for the corresponding feature image, denote the model component associated with this rotation process as the feature component, and based on the specific classification of the corresponding feature component, confirm the cross-arm area and the strain clamp area;

[0011] Step 2: Control the drone to move horizontally to confirm the feature changes of the pixel points in the cross-arm area, thereby confirming whether there is an inclination in the cross-arm area. If so, determine the horizontal turning angle of the line. The specific method is as follows:

[0012] Calibrate the pixel values associated with different pixel points in the cross-arm area as X q , where q represents different pixel points. Denote the image associated with the drone before horizontal movement as the initial image. Perform mean processing on the pixel values associated with several pixel points in the initial image to confirm the initial features. The drone is located directly above the cross-arm area before horizontal movement;

[0013] After the UAV completes the horizontal movement, the associated image is recorded as the end image. The pixel values associated with several pixel points in the end image are averaged to confirm the end features.

[0014] Adopt: (Initial feature - End feature) ÷ Movement distance = Verification feature, and evaluate whether the verification feature and the preset threshold are the same value. If so, it means that there is no inclination angle in this crossarm area, and the line horizontal rotation angle α of the crossarm area is calibrated to 0. If not, it means that there is an inclination angle in this crossarm area. Adopt: |Verification feature - Preset threshold| × C1 = α to confirm the line horizontal rotation angle α of this crossarm area, where C1 is a preset fixed coefficient factor;

[0015] Step 3: Based on the images obtained by the high-definition shooting UAV at the specified position and the specific positions of the crossarm area and the strain clamp area, generate a calculation sketch, and confirm the jumper length from the calculation sketch. The specific method is as follows:

[0016] Confirm the width data S of the crossarm area. When confirming the crossarm area, there is an associated crossarm model component. Based on this crossarm model component, the width data S of the crossarm area can be directly confirmed. Then, based on the straight-line distance lengths from the left and right strain clamp areas to the crossarm area and the width data S of the crossarm area, confirm the straight-line distance length λ between the strain clamp area and the crossarm area;

[0017] And based on the specific positions of the two strain clamp areas, confirm the inclination angles θ1 and θ2 between the straight line between the strain clamp area and the crossarm area and the horizontal line, and construct a set of horizontal reference planes. Confirm the vertical distances H1 and H2 between the two strain clamp areas and the horizontal reference planes. Adopt ΔH = |H1 - H2| to confirm the height difference ΔH between the jumper suspension points in the two strain clamp areas;

[0018] Adopt: Confirm the horizontal span l associated with the jumper k ;

[0019] Then adopt: Confirm the diagonal span l of the jumper AB ;

[0020] Confirm the vertical distance f from the crossarm area to the lowest point of the jumper. Adopt: And Confirm the vertical distances from the lowest point of the jumper to the jumper suspension points A and B;

[0021] Then adopt And l2 = l k - l1 to confirm the horizontal distances l1 and l2 from the lowest point of the jumper to the jumper suspension points A and B. Finally, adopt Lock the jumper depth d AB ;

[0022] Finally, the locking jumper length L is adopted. A-B 。

[0023] Preferably, the cross arm area corresponds to the cross arm model component, and the strain clamp area corresponds to the strain clamp model component.

[0024] The present invention provides a method for calculating the jumper length of a strain tower of a transmission line. Compared with the prior art, it has the following beneficial effects:

[0025] The present invention uses a high-definition shooting drone to obtain images. Through grayscale processing, Sobel algorithm calibration of gradient pixel points, and comparison and verification of model components, the cross arm area and the strain clamp area can be accurately determined. This process effectively avoids the errors and limitations of manual recognition, improves the accuracy and reliability of feature area recognition, and provides reliable basic data for subsequent calculations. For example, in a complex transmission line environment, this method can accurately distinguish the cross arm and the strain clamp, ensuring the accuracy of subsequent calculations.

[0026] By controlling the horizontal movement of the drone and comparing the image pixel values before and after the movement, it is possible to quickly determine whether there is an inclination angle in the cross arm area and accurately calculate the horizontal turning angle α of the line. Compared with the traditional manual detection method, this method has higher efficiency and a wider detection range, can timely detect the cross arm inclination problem, provides an important basis for line maintenance and safe operation, and effectively guarantees the stability of the transmission line.

[0027] Based on the image obtained by the drone, a calculation sketch is generated. Combining data such as the width of the cross arm area and the position of the strain clamp area, a series of calculation formulas are used to accurately calculate the parameters of the jumper, and finally the accurate jumper length is obtained. This calculation method comprehensively considers various actual factors. Compared with the traditional method of determining the jumper length by experience, it effectively reduces material waste and improves construction efficiency and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is the method flow chart for calculating the jumper length of the present invention;

[0029] Figure 2 is the schematic diagram of the calculation sketch of the present invention;

[0030] Figure 3 is the calculation sketch of the engineering example of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0031] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0032] First Embodiment

[0033] Please refer to Figure 1 , this application provides a method for calculating the jumper length of a tension tower of a transmission line, including the following steps:

[0034] Step 1: Use a high-definition shooting drone to obtain images of a specified position of the transmission line, determine the cross-arm area and the strain clamp area from the obtained images. Its specified position is generally directly above the cross-arm area, which is pre-calibrated by the operator in advance. After the drone reaches this position, specific images are obtained to facilitate the acquisition of all images around the cross-arm area, and by comparing and verifying the characteristic areas inside the corresponding images with the preset model parts, the belonging areas of the corresponding characteristic areas are locked, so as to determine the cross-arm area and the strain clamp area. The specific method for determining the cross-arm area and the strain clamp area is as follows:

[0035] Perform grayscale processing on the obtained images to confirm the grayscale images: Based on the RGB values associated with the corresponding points in the images, confirm the grayscale values associated with the corresponding points. The grayscale value = 0.299R + 0.587G + 0.114B. Based on the grayscale values associated with the corresponding points, adjust the corresponding images for grayscale, and confirm the grayscale images;

[0036] Use the Sobel algorithm to calibrate the gradient pixel points existing in the grayscale images in sequence, and based on the calibrated several groups of gradient pixel points, calibrate the characteristic areas in the grayscale images: Confirm the horizontal gradient H i and the vertical gradient S i of the corresponding pixel points in the grayscale images through the Sobel algorithm, where i represents different pixel points (the confirmation methods of its horizontal gradient and vertical gradient are relatively common in the prior art, so no more details will be described here. Generally, through the specific pixel values of the corresponding pixel points and the surrounding pixel points and the set weights, the gradient data associated with the corresponding pixel points can be directly confirmed). Calibrate the pixel points that satisfy the comprehensive gradient > Y1 as gradient pixel points. Otherwise, no calibration is performed. Y1 is a preset value, and its specific value is determined by the operator according to experience. Denote the intermediate area included by several consecutive gradient pixel points as the characteristic area;

[0037] The partial image associated with the feature region is denoted as the feature image, and the preset model component is compared and verified with the feature image: the model component is scaled proportionally, and during the proportional scaling process, the model component is rotated, and several rotation processes are executed to make the surface of the model component coincide with the center point associated with the feature image, and the coincidence rate CF of the model component and the feature image is confirmed. p , where p represents different rotation processes. If there is a rotation process with CF p ≥95%, the model component associated with this rotation process is denoted as the feature component, and based on the specific classification of the corresponding feature component, the crossarm area and the strain clamp area are confirmed. The crossarm area corresponds to the crossarm model component, and the strain clamp area corresponds to the strain clamp model component. Specifically, based on the acquired image, the gradient pixel points existing in the image are confirmed, and then based on the confirmed gradient pixel points, the contour areas associated with different components inside the corresponding image are locked, that is, the confirmed feature regions. According to the corresponding feature regions and the pre-stored model components, the corresponding model components can be feature-matched, and the corresponding model components are rotated and rotated to confirm the maximum coincidence process of the corresponding model component and the feature region. Based on the confirmed specific process, the model component associated with the corresponding feature region can be identified, and then based on the specific classification of the corresponding model component, the sub-region to which the corresponding feature region belongs is confirmed, so as to perform specific calibration.

[0038] Step 2: Control the drone to move horizontally to confirm the feature changes of the pixel points in the crossarm area, so as to confirm whether there is an inclination angle in the crossarm area. Specifically, first lock the feature pixel points in the crossarm area, and then based on the numerical changes between the corresponding feature pixel points, the angle is confirmed. When the drone moves horizontally and the crossarm area is also in a horizontal state, the resulting numerical change feature is within the rule. The specific sub-steps for confirming whether there is an inclination angle in the crossarm area are as follows:

[0039] The pixel values associated with different pixel points in the crossarm area are calibrated as X q , where q represents different pixel points. The image associated with the drone before horizontal movement is denoted as the initial image, and the pixel values associated with several pixel points in the initial image are averaged to confirm the initial feature. The drone is located directly above the crossarm area before horizontal movement.

[0040] Then, the image associated with the drone after completing the horizontal movement is denoted as the end image, and the pixel values associated with several pixel points in the end image are averaged to confirm the end feature.

[0041] Adopt: (Initial feature - End feature) ÷ Moving distance = Verification feature, and evaluate whether the verification feature and the preset threshold are the same value. If so, it means that there is no inclination angle in this crossarm area, and the line horizontal rotation angle α of the crossarm area is calibrated to 0. If not, it means that there is an inclination angle in this crossarm area. Adopt: |Verification feature - Preset threshold| × C1 = α to confirm the line horizontal rotation angle α of this crossarm area, where C1 is a preset fixed coefficient factor, and its specific value is determined by the operator according to experience. When the UAV moves horizontally from directly above to one side, the associated image feature pixels change in a regular state. If there is a corresponding inclination angle, the numerical features generated during the change process combined with the corresponding coefficient factor can quickly lock the corresponding line horizontal rotation angle, so as to specifically confirm the subsequent jumper length;

[0042] Step 3: Generate a calculation sketch based on the image obtained by the high-definition shooting UAV at the specified position and based on the specific positions of the crossarm area and the strain clamp area, and confirm the jumper length from the calculation sketch. The specific confirmation method is as follows:

[0043] Confirm the width data S of the crossarm area. There is an associated crossarm model component when confirming the crossarm area. Based on this crossarm model component, the width data S of the crossarm area can be directly confirmed. Then, based on the straight-line distance lengths from the left and right strain clamp areas to the crossarm area and the width data S of the crossarm area, confirm the straight-line distance length λ between the strain clamp area and the crossarm area. Specifically, calibrate the width of the crossarm area in the corresponding image as D1, and calibrate the straight-line distance from one strain clamp area to the crossarm area as D2. Adopt: D2÷D1 = λ÷S to confirm the straight-line distance length λ. Since the strain clamp areas are symmetrically arranged, the straight-line distances on both sides are the same;

[0044] And based on the specific positions of the two strain clamp areas, confirm the inclination angles θ1 and θ2 between the straight line between the strain clamp area and the crossarm area and the horizontal line, and construct a set of horizontal reference planes. Confirm the vertical distances H1 and H2 from the two strain clamp areas to the horizontal reference plane. Adopt ΔH = |H1 - H2| to confirm the height difference ΔH between the jumper suspension points in the two strain clamp areas;

[0045] Adopt: Confirm the horizontal span l associated with the jumper k ;

[0046] Then adopt: Confirm the diagonal span l of the jumper AB ;

[0047] The calculation sketch synchronously includes the image of the corresponding jumper. Lock the specific area of the jumper based on the contour determination method and construct it into the calculation sketch. Confirm the vertical distance f from the crossarm area to the lowest point of the jumper. Adopt: and Confirm the vertical distances from the lowest point of the jumper wire to the suspension points A and B of the jumper wire;

[0048] Then adopt and l2 = l k -l1 to confirm the horizontal distances l1 and l2 from the lowest point of the jumper wire to the suspension points A and B of the jumper wire, and finally adopt Lock the depth d of the jumper wire AB ;

[0049] Finally, then adopt Lock the length L of the jumper wire A-B .

[0050] Based on the above actual implementation content, there are corresponding engineering application examples:

[0051] Combined with Figure 3 , taking the outside phase of the N32 strain tower of a certain project's 220 kV outgoing line project as an example, the calculation and application of the jumper wire length are described; the basic construction drawing data is as follows:

[0052] The turning angle β of N32 (DZT - 15): 24°48′ to the left, and the side cross arm DB = 1.21 m.

[0053] Conductor model: JL / G1A - 240 / 30, cross - sectional area s = 276.mm2, unit mass m = 0.922 kg / m, average operating stress 62.11 N / mm2;

[0054] Situation of adjacent towers in the front and rear spans: N31 (ZM1 - 29.7), span L1 between N31 and N32 = 194 m; N33 (DZT - 12), span L2 between N32 and N33 = 197 m;

[0055] Strain composite insulator string: length (from the U - shaped hanging ring at the conductor hanging point of the cross arm to the bottom of the strain clamp) λ1 = λ2 = 3.63 m, weight 65 kg / group;

[0056] Length of the single - link jumper composite insulator string (from the UB hanging plate to the jumper suspension clamp) 2.50 m, weight 46.76 kg / group;

[0057] Length of the suspension composite insulator of the straight tower 3.00 m;

[0058] The sag F of the diversion wire of the N32 strain tower is an approximate value. Taking the maximum allowable diversion sag fmax (the designed sag of the straight - lead jumper wire, generally the minimum allowable clearance between the diversion and the tower body) as 3.0 m and the minimum allowable diversion sag fmin as 2.2 m, without considering the actual factors such as altitude, complex ground wires, and bad weather here, taking the average value F = (fmax + fmin) / 2, and taking F = 2.6 m.

[0059] 1. Calculate the inclination angles (here called overhang angles) θ1 and θ2 of the insulator strings on the front and rear sides of the N32 tension tower

[0060] The height difference between N31 and N32 is: Δh31-32 = (1358 + 29.7 - 3) - (1358 + 15) = 11.7m

[0061] Height difference angle σ1:

[0062]

[0063] Convention: + for downward angle and - for upward angle

[0064] Conductor tension T1 = 62.11 N / mm2 × 276 mm2 = 17142 N

[0065] Weight of conductor per meter W = 0.922kg × 9.8N / kg = 9.04N

[0066] Gravity of side phase tension insulator string W2=65×2×9.8=1274N

[0067] Overhang angle θ1:

[0068]

[0069] The height difference between N32 and N33 is: Δh32-33 = (1357 + 12) - (1358 + 15) = -3.00m

[0070] Height difference angle σ2:

[0071]

[0072] Wire tension T2 = 62.11 × 276 = 17142N

[0073] Overhang angle θ2:

[0074]

[0075] From the above, we can know that: θ1 = 8°27′, θ2 = 4°13′. Rotation angle: β = 24°48′, side phase cross arm width DB = 1.21m, length of tension insulator string on both sides λ1 = λ2 = 3.63m, F = 2.6m.

[0076] 2. Calculate the horizontal span l of the jumper wire of N32 tension tower

[0077]

[0078] 3. Vertical height f1, f2 from the lowest point of the jumper to the calculation support points A and B

[0079]

[0080] 4. The horizontal distances l1 and l2 from the lowest point of the jumper wire to the calculated support points A and B

[0081]

[0082] l2 = l - l1 = 8.25 - 3.99 = 4.26 m.

[0083] 5. Calculate the length LA - B of the jumper wire

[0084]

[0085] After actual measurement and comparison, it is found that the error is only 0.18 m.

[0086] Some of the data in the above formula are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0087] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A calculation method for the length of the jumper wire of a strain tower on a transmission line, characterized in that, It includes the following steps: Step 1: Use a high-definition aerial photography drone to obtain images of specified positions on the transmission line. Gray-scale the obtained images to confirm the gray-scale images. Then, based on the gradient features of the pixel points inside the gray-scale images, lock the feature areas, and verify the feature areas with the preset component models to determine the cross-arm area and the strain clamp area; Step 2: Control the drone to move horizontally to confirm the feature changes of the pixel points in the cross-arm area, so as to confirm whether the cross-arm area is tilted. If it is tilted, determine the horizontal angle of the line; Step 3: Generate a calculation diagram based on the images obtained by the high-definition aerial photography drone at the specified position and based on the specific positions of the cross-arm area and the strain clamp area, and confirm the jumper length from the calculation diagram.

2. The method for calculating the jumper length of a tension tower of a transmission line according to claim 1, wherein In the said Step 1, the specific method for gray-scaling the obtained images to confirm the gray-scale images is as follows: Gray-scale the obtained images to confirm the gray-scale images: Based on the RGB values associated with the corresponding points in the images, confirm the gray-scale values associated with the corresponding points. The gray-scale value = 0.299R + 0.587G + 0.114B. Adjust the corresponding images based on the gray-scale values associated with the corresponding points to confirm the gray-scale images.

3. The method for calculating the jumper length of a strain tower of a transmission line according to claim 1, wherein In the said Step 1, the specific method for locking the feature areas is as follows: Use the Sobel algorithm to calibrate the gradient pixel points existing in the grayscale image in sequence, and based on several groups of calibrated gradient pixel points, calibrate the feature region in the grayscale image: confirm the horizontal gradient H associated with the corresponding pixel points in the grayscale image through the Sobel algorithm i and the vertical gradient S i , where i represents different pixel points, and Calibrate the pixel points that satisfy the comprehensive gradient > Y1 as gradient pixel points. Otherwise, no calibration is performed. Y1 is a preset value. Denote the intermediate region included by several consecutive gradient pixel points as the feature region.

4. The method for calculating the length of the jumper wire of a tension tower of a transmission line according to claim 3, wherein, In the said Step 1, the specific method for determining the cross-arm area and the strain clamp area is as follows: Denote the partial image associated with the feature region as the feature image, and compare and verify the preset model component with the feature image: scale the model component proportionally, and rotate the model component during the proportional scaling process. Execute a number of rotation processes to make the center point associated with the surface of the model component coincide with the feature image, and confirm the coincidence rate CF of the model component and the feature image. p , where p represents different rotation processes. If there is a rotation process with CF p ≥95%, denote the model component associated with this rotation process as the feature component, and confirm the cross-arm area and the strain clamp area based on the specific classification of the corresponding feature component.

5. The method for calculating the jumper length of a strain tower of a transmission line according to claim 4, wherein, The cross-arm area corresponds to the cross-arm model component, and the strain clamp area corresponds to the strain clamp model component.

6. The calculation method of the jumper length of the tension tower of the transmission line according to claim 1, characterized in that In the said Step 2, the specific method for determining the horizontal angle of the line in the cross-arm area is as follows: Calibrate the pixel values associated with different pixel points in the cross-arm area as X q , where q represents different pixel points. Denote the image associated with the UAV before horizontal movement as the initial image. Perform mean processing on the pixel values associated with several pixel points in the initial image to confirm the initial features. Before horizontal movement, the UAV is located directly above the cross-arm area; Then, record the image associated with the drone after it has completed horizontal movement as the end image, and perform mean processing on the pixel values associated with several pixel points in the end image to confirm the end features; Use: (Initial feature - End feature) ÷ Movement distance = Verification feature, and evaluate whether the verification feature and the preset threshold are the same value. If so, it means that there is no tilt angle in this cross-arm area, and calibrate the horizontal angle α of the line in the cross-arm area to 0. If not, it means that there is a tilt angle in this cross-arm area. Use: |Verification feature - Preset threshold| × C1 = α to confirm the horizontal angle α of the line in this cross-arm area, where C1 is a preset fixed coefficient factor.

7. The method for calculating the jumper length of a strain tower on a transmission line according to claim 1, wherein In the said Step 3, the specific method for confirming the jumper length from the calculation diagram is as follows: Confirm the width data S of the cross-arm area. When the cross-arm area is confirmed, there is an associated cross-arm model component. Based on this cross-arm model component, the width data S of the cross-arm area can be directly confirmed. Then, based on the linear distance lengths from the strain clamp areas on the left and right sides to the cross-arm area and the width data S of the cross-arm area, confirm the linear distance length λ between the strain clamp area and the cross-arm area; And based on the specific positions of the strain clamp areas on both sides, confirm the tilt angles θ1 and θ2 between the line between the strain clamp area and the cross-arm area and the horizontal line, and construct a set of horizontal base planes. Confirm the vertical distances H1 and H2 between the strain clamp areas on both sides and the horizontal base planes. Use ΔH = |H1 - H2| to confirm the height difference ΔH between the jumper suspension points in the strain clamp areas on both sides; Adopt: Confirm the horizontal span l associated with the jumper k ; Then adopt: Confirm the jumper diagonal span l AB ; Confirm the vertical distance f from the crossarm area to the lowest point of the jumper wire, using: and Confirm the vertical distances from the lowest point of the jumper wire to the jumper wire suspension points A and B; Then adopt and l2 = l k - l1 to confirm the horizontal distances l1 and l2 from the lowest point of the jumper wire to the suspension points A and B of the jumper wire, and finally adopt to lock the jumper wire depth d AB ; Finally, use Lock the jumper length L A-B .

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