A method for transmission line state perception based on tower leg stress analysis

Abstract

The present invention discloses a method for sensing the state of a power transmission line based on tower leg stress analysis, comprising: step 1, establishing a three-dimensional finite element model of a tower line system according to actual parameters and actual structure of the power transmission tower line system; step 2, simulating different inclination angles of a power transmission tower and different ice thicknesses of a power transmission line, applying corresponding loads and solution conditions to simulate the inclination and ice thickness of the tower line system under different working conditions, and performing mechanical simulation analysis; step 3, obtaining stress values ​​of four tower leg monitoring points of the power transmission tower, and performing quantitative analysis on the stress value size and the inclination angle of the power transmission tower or the ice thickness of the power transmission line; step 4, inverting the inclination angle or ice thickness according to the tower leg stress size in actual monitoring, and quickly sensing and evaluating the state of the power transmission line.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission lines, and in particular to a method for sensing power transmission line status based on tower leg stress analysis. Background Art

[0002] my country's power transmission lines cover a wide range, and the terrain and environment in which they are located vary greatly. In a complex natural environment, the safe operation of the transmission lines is an important guarantee for the stable operation of the power system. Therefore, the state perception and evaluation of the transmission lines plays a vital role in the safety of the power grid. The tilt of the transmission tower and the icing of the transmission line will affect the stable operation of the transmission line. In the early days, the state monitoring of the transmission line mainly relied on manual line inspection, which was labor-intensive, expensive, and inefficient. With the development of technology, various monitoring equipment has gradually been used to assist in online monitoring of the tilt of the transmission tower and the icing of the transmission line.

[0003] However, these monitoring methods require detailed measurement, comparison and analysis of geometric parameters such as the horizontal and vertical directions and inclination angles of the towers. In order to understand the icing conditions on the transmission lines, it is also necessary to install sensors above the insulators to detect the line tension, so as to collect the icing conditions above the line and the various parameters involved to analyze the status of the transmission line. These methods not only require a lot of manpower and material resources, but also have high requirements on the installation location and detection accuracy of the sensors, and the monitoring process is cumbersome. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention aims to provide a method for sensing the state of a transmission line based on tower leg stress analysis.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A transmission line state perception method based on tower leg stress analysis, comprising:

[0007] Step 1: Establish a three-dimensional finite element model of the tower-line system according to the actual parameters and actual structure of the transmission tower-line system. The three-dimensional finite element model of the tower-line system is used to reflect the situation of the tower-line system. The three-dimensional finite element model of the tower-line system includes a transmission tower and a ground wire, ensuring that the parameters of the three-dimensional finite element model of the tower-line system correspond to the actual parameters and actual structure of the transmission tower-line system one by one;

[0008] Step 2: Select the possible working conditions in the natural environment where the transmission line is located, simulate the different inclination angles of the transmission tower and the different ice thicknesses of the transmission line, apply corresponding loads and solution conditions to simulate the inclination or ice coverage of the tower-line system under different working conditions, and perform mechanical simulation analysis;

[0009] Step 3: In each working condition, after finite element simulation calculation, obtain four simulated stress values ​​of the four tower leg monitoring points of the transmission tower in the three-dimensional finite element model of the tower-line system, take the maximum stress value among the four simulated stress values ​​as the simulated stress value, and perform quantitative analysis on the simulated stress value and the inclination angle of the transmission tower or the ice thickness of the transmission line;

[0010] Step 4: Install stress monitoring devices at the four tower leg monitoring points of the actual transmission tower line. Combined with the results of data quantitative fitting analysis under different working conditions, in actual monitoring, take the maximum stress value among the four actual tower leg stress values ​​as the actual stress value, and reversely infer the inclination angle or ice thickness based on the actual stress value, so as to quickly perceive and evaluate the status of the transmission line.

[0011] Furthermore, the step 1 comprises:

[0012] Step 101, define the coordinate origin from the middle symmetrical position of the conductor cross arm of the transmission tower, and sequentially establish a three-dimensional finite element model of the ground wire support and cross arm, upper and lower curved arms, conductor cross arm, tower body structure, and tower leg structure;

[0013] Step 102, determine the ground wire, conductor and insulator string hanging points, establish corresponding three-dimensional finite element models according to specific parameter models, and form a three-dimensional finite element model of the tower-line system;

[0014] Step 103, NODE node fusion and node number compression are performed on the established three-dimensional finite element model of the tower-line system, and finally the mechanical simulation of the model is performed by loading its own weight load to check whether specific tower components and line nodes can be constrained by effective conditions and applied with general loads.

[0015] Furthermore, the transmission line state perception method based on tower leg stress analysis is characterized in that: in the process of establishing the three-dimensional finite element model of the tower-line system, a discrete point form-finding method of the ground wire finite element model is established, and the coordinates of each discrete node on the ground wire are obtained by the catenary equation of the ground wire. By adjusting the values ​​of γ and σ0, the sag of the line can be adjusted. The catenary equation of the ground wire is:

[0016]

[0017]

[0018] Where y is the height of the ground wire node; x is the horizontal distance from the suspension point to the lowest point of the sag; L h＝0 is the length of the catenary with equal height suspension points; l is the horizontal distance between the two suspension points; h is the vertical distance between the two suspension points; γ is the ratio of the gravity per unit length of the conductor to the conductor cross-section; σ0 is the stress at the lowest point of the conductor, that is, the tension per unit cross-section of the conductor.

[0019] Furthermore, in step 2, multiple inclination angles of the transmission tower ranging from 5° to 40° are selected, and the corresponding stress values ​​are calculated respectively.

[0020] Furthermore, the transmission tower inclination angles are selected as 5°, 10°, 15°, 20°, 25°, 30°, 35°, and 40°, and the corresponding stress values ​​are calculated respectively.

[0021] Furthermore, the stress data f(m) of the tower leg monitoring point is used as the result indicator, and the least square method is used to calculate the stress of the transmission tower at different inclination angles m. i The simulation results and stress index f(m) are used for curve fitting data analysis, and the calculation formula is:

[0022]

[0023] Among them, m is the inclination angle of the transmission tower, f(m) is the stress on the tower leg of the transmission tower, a1 is the unknown coefficient, and b1 is the unknown coefficient.

[0024] Furthermore, in step 2, different ice coating thicknesses ranging from 10 to 40 mm are selected to perform line load application calculations, and the corresponding stress values ​​are calculated respectively.

[0025] Furthermore, the ice coating thickness of the transmission tower is selected as 10mm, 15mm, 20mm, 25mm, 30mm, 35mm, and 40mm, and the corresponding stress values ​​are calculated respectively.

[0026] Furthermore, the stress data f(n) of the tower leg monitoring point is used as the result indicator, and the least square method is used to calculate the stress of the transmission tower with different ice thickness n. j The simulation results and stress index f(n) are used for curve fitting data analysis, and the calculation formula is:

[0027]

[0028] Among them, n is the ice thickness of the transmission tower, f(n) is the stress on the tower legs of the transmission tower, a2 is an undetermined coefficient, and b2 is an undetermined coefficient.

[0029] Furthermore, in step 2, in simulating different inclination angles of the transmission tower and different ice thicknesses of the transmission line, the inclination angle of the transmission tower is simulated by changing the angle between the tower leg and the horizontal plane in the three-dimensional finite element model of the tower-line system, and the ice thickness in the transmission line is simulated by changing the node gravity load of the transmission line in the three-dimensional finite element model of the tower-line system.

[0030] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0031] 1. The power transmission line status perception method based on tower leg stress analysis described in the present invention can quickly obtain the inclination angle of the transmission tower and the ice thickness of the transmission line by measuring the stress value changes at the four tower leg monitoring points of the transmission tower, thereby quickly perceiving and evaluating the operating status of the transmission line.

[0032] 2. The method of power transmission line state perception based on tower leg stress analysis described in the present invention is used for online monitoring of power transmission line state perception evaluation. The operating state of the power transmission line can be intuitively obtained through the real-time stress changes of the tower leg monitoring points, which provides an effective means for power transmission line state monitoring and maintenance, and disaster prevention. It can also provide certain theoretical references for the staff of the power grid line operation and maintenance department.

[0033] 3. The transmission line state perception method based on tower leg stress analysis described in the present invention is suitable for line state evaluation and monitoring of transmission lines of various voltage levels. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a specific flow chart of the method of the present invention.

[0035] Figure 2 The present invention is a schematic diagram of four monitoring points on the legs of a transmission tower.

[0036] Figure 3 It is a fitting curve diagram of the tower leg stress value and the inclination angle in one embodiment of the present invention.

[0037] Figure 4 FIG. 4 is a fitting curve diagram of tower leg stress value and ice thickness in one embodiment of the present invention. DETAILED DESCRIPTION

[0038] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0039] The present invention provides a method for sensing the state of a power transmission line based on tower leg stress analysis, which is characterized by comprising:

[0040] Step 1: Establish a three-dimensional finite element model of the tower-line system according to the actual parameters and actual structure of the transmission tower-line system. The three-dimensional finite element model of the tower-line system is used to reflect the situation of the tower-line system. The three-dimensional finite element model of the tower-line system includes a transmission tower and a ground wire, ensuring that the parameters of the three-dimensional finite element model of the tower-line system correspond to the actual parameters and actual structure of the transmission tower-line system one by one;

[0041] Step 2: Select the possible working conditions in the natural environment where the transmission line is located, simulate the different inclination angles of the transmission tower and the different ice thicknesses of the transmission line, apply corresponding loads and solution conditions to simulate the inclination or ice coverage of the tower-line system under different working conditions, and perform mechanical simulation analysis;

[0042] Step 3: In each working condition, after finite element simulation calculation, obtain four simulated stress values ​​of the four tower leg monitoring points of the transmission tower in the three-dimensional finite element model of the tower-line system, take the maximum stress value among the four simulated stress values ​​as the simulated stress value, and perform quantitative analysis on the simulated stress value and the inclination angle of the transmission tower or the ice thickness of the transmission line;

[0043] Step 4: Install stress monitoring devices at the four tower leg monitoring points of the actual transmission tower line. Combined with the results of data quantitative fitting analysis under different working conditions, in actual monitoring, take the maximum stress value among the four actual tower leg stress values ​​as the actual stress value, and reversely infer the inclination angle or ice thickness based on the actual stress value, so as to quickly perceive and evaluate the status of the transmission line.

[0044] The present invention firstly establishes a three-dimensional finite element model of the tower-line system, and uses finite element mechanical simulation analysis to quantitatively analyze the stress value, the inclination angle of the transmission tower, and the ice thickness of the transmission line, so as to obtain the corresponding relationship between the stress value, the inclination angle of the transmission tower, and the ice thickness of the transmission line. Then, the inclination angle of the transmission tower or the ice thickness of the transmission line can be inferred by the stress value change of the four tower leg monitoring points of the transmission tower, so that the operation status of the transmission line can be quickly perceived and evaluated.

[0045] The maximum stress value in the tower leg can most realistically reflect the stress state of the tower leg under working conditions. Therefore, in the simulation process, the present invention takes the maximum stress value among the four simulated stress values ​​as the simulated stress value; in actual monitoring, the maximum stress value among the four actual tower leg stress values ​​is taken as the actual stress value, so that the final inclination angle or ice thickness is closer to the actual situation.

[0046] The steps of establishing a three-dimensional finite element model of the tower line system include:

[0047] Step 101, define the coordinate origin from the middle symmetrical position of the conductor cross arm of the transmission tower, and sequentially establish a three-dimensional finite element model of the ground wire support and cross arm, upper and lower curved arms, conductor cross arm, tower body structure, and tower leg structure;

[0048] Step 102, determine the ground wire, conductor and insulator string hanging points, establish corresponding three-dimensional finite element models according to specific parameter models, and form a three-dimensional finite element model of the tower-line system;

[0049] Step 103, NODE nodes are merged and node numbers are compressed for the established three-dimensional finite element model of the tower-line system, and finally the mechanical simulation of the model is performed by loading its own weight to check whether specific tower components and line nodes can be constrained by effective conditions and applied with general loads to prevent the program from not converging during finite element simulation calculations.

[0050] Specifically, in the process of establishing the three-dimensional finite element model of the tower-line system, a discrete point form-finding method of the ground wire finite element model is established. The catenary equation of the ground wire in the model obtains the coordinates of each discrete node on the ground wire according to the following formula. By adjusting the values ​​of γ and σ0, the sag of the line can be adjusted.

[0051]

[0052]

[0053] Where y is the height of the ground wire node; x is the horizontal distance from the suspension point to the lowest point of the sag; L h＝0 is the length of the catenary with equal height suspension points; l is the horizontal distance between the two suspension points; h is the vertical distance between the two suspension points; γ is the ratio of the gravity per unit length of the conductor to the conductor cross-section; σ0 is the stress at the lowest point of the conductor, that is, the tension per unit cross-section of the conductor.

[0054] By establishing a discrete point shape-finding method for the finite element model of the ground conductor and determining the coordinates of the empty discrete points of the ground conductor, the shape of the ground conductor can be restored more realistically.

[0055] In step 3, possible working conditions in the natural environment of the transmission line are selected to simulate different inclination angles of the transmission tower and different ice thicknesses of the transmission line, and corresponding loads and solution conditions are applied to simulate the inclination and ice coverage of the tower-line system under different working conditions, and a mechanical simulation analysis is performed.

[0056] Specifically, since the most common tilt angle of a transmission tower in actual situations is 5° to 40°, selecting different tilt angles of the tower between 5° and 40° for calculation can save calculation time. The tower tilt angle can be 5°, 10°, 15°, 20°, 25°, 30°, 35°, and 40°. When the tower tilt angle is between 5° and 40°, the tower base not only undergoes displacement in the translation direction, but also produces certain rotational deformation under the action of external force, releasing the ROTZ rotational degree of freedom during the calculation process.

[0057] Since the most likely ice thickness range for transmission lines in actual situations is 10 to 40 mm, different ice thickness conditions ranging from 10 to 40 mm are selected to calculate line load application under the simulated transmission line icing conditions. The ice thickness can be 10 mm, 15 mm, 20 mm, 25 mm, 30 mm, 35 mm, and 40 mm.

[0058] Through the above finite element simulation calculation, we can get Figure 2 The maximum stress values ​​of the four tower leg monitoring points of the transmission tower shown in the figure are statistically analyzed and the results of multiple groups of data are shown in the following table. Table 1 shows the maximum tower leg stress values ​​corresponding to different angles under the transmission tower tilt condition, and Table 2 shows the maximum tower leg stress values ​​corresponding to different ice thicknesses under the transmission line icing condition.

[0059] Table 1

[0060] Tower tilt angle 5° 10° 15° 20° 25° 30° 35° 40° Tower leg stress / Mpa 58 69 89 118 156 207 269 343

[0061] Table 2

[0062] Line ice thickness / mm 10 15 20 25 30 35 40 Tower leg stress / Mpa 32 46 69 106 157 225 329

[0063] Through the above finite element simulation calculation, we can get Figure 2 The stress values ​​of the monitoring points of the four tower legs of the transmission tower shown in the figure are statistically analyzed for multiple sets of data results under various working conditions, and the stress value and the inclination angle of the transmission tower or the ice thickness of the transmission line are quantitatively analyzed.

[0064] Taking the stress data of the tower leg monitoring point as the result evaluation index, the least squares method is used to perform curve fitting data analysis on the simulation results of the transmission tower at different inclination angles or the simulation results of the transmission line at different ice thicknesses and the stress numerical index.

[0065] In the above step 4, the following method can be used to conduct quantitative analysis based on the stress values ​​of the four monitoring points on the tower legs, the inclination angle of the transmission tower, and the ice thickness of the transmission line:

[0066] Taking the stress data f(m) of the tower leg monitoring point as the result indicator, the least square method is used to calculate the stress of the transmission tower at different inclination angles m. i The simulation results and stress index f(m) are used for curve fitting data analysis, and the calculation formula is:

[0067]

[0068] Among them, m is the inclination angle of the transmission tower, f(m) is the stress on the tower leg of the transmission tower, a1 is the unknown coefficient, and b1 is the unknown coefficient.

[0069] Taking the stress data f(n) of the tower leg monitoring point as the result indicator, the least square method is used to calculate the stress of the transmission tower with different ice thickness n. j The simulation results and stress index f(n) are used for curve fitting data analysis, and the calculation formula is:

[0070]

[0071] Among them, n is the ice thickness of the transmission tower, f(n) is the stress on the tower legs of the transmission tower, a2 is an undetermined coefficient, and b2 is an undetermined coefficient.

[0072] In step 2, in simulating different inclination angles of the transmission tower and different ice thicknesses of the transmission line, the inclination angle of the transmission tower is simulated by changing the angle between the tower leg and the horizontal plane in the three-dimensional finite element model of the tower-line system, and the ice thickness in the transmission line is simulated by changing the node gravity load of the transmission line in the three-dimensional finite element model of the tower-line system.

[0073] According to Table 1 and Table 2, combined with the quantitative analysis method given above, the tower leg stress values ​​are quantitatively analyzed with the inclination angle of the transmission tower and the ice thickness of the transmission line. The tower leg stress data is used as the result evaluation index. The simulation results of the transmission tower at different inclination angles and the simulation results of the transmission line at different ice thicknesses and the stress numerical index are curve-fitted by the least squares method as follows. The fitting curve expression of the maximum stress value of the tower leg and the inclination angle of the transmission tower is obtained as follows: f(x) = 42.079e 0.053x Similarly, the fitting curve expression of the maximum stress value of the tower leg and the ice thickness of the transmission line can be obtained as follows: f(y) = 14.513e 0.078y .

[0074] Based on the results of quantitative fitting analysis of data under different situations, stress monitoring devices were finally installed at the four tower leg monitoring points. The inclination angle and ice thickness under different working conditions were inferred according to the stress values ​​of the four monitoring points on the tower legs when the transmission tower was tilted and the line was covered with icing. This can quickly perceive and evaluate the status of the transmission line, and provide an effective means for transmission line status monitoring, maintenance, and disaster prevention.

[0075] The results of the data quantification curve fitting analysis under the above different conditions are used as the basis, that is, the fitting curve expression result of the maximum stress value of the tower leg and the inclination angle of the transmission tower is: f(x) = 42.079e 0.053x ; The fitting curve expression result of the maximum stress value of the tower leg and the ice thickness of the transmission line: f(y)=14.513e 0.078yFinally, stress monitoring devices are installed at the four tower leg monitoring points. The inclination angle of the transmission tower under the tilting condition and the ice thickness of the transmission line under the icing condition are sensed according to the maximum stress value of the tower leg monitoring point. For example, under the tilting condition of the transmission tower, the maximum stress value of the tower leg monitoring point is 300Mpa. According to the corresponding fitting curve expression, it can be known that the inclination angle of the transmission tower is 37° at this time; if the maximum stress value of the tower leg monitoring point under the icing condition of the transmission line is 200Mpa, according to the corresponding fitting curve expression, it can be known that the ice thickness of the transmission line is 33mm at this time. Therefore, the state of the transmission line can be quickly sensed according to the tower leg stress, which can provide an effective means for transmission line state monitoring, maintenance and disaster prevention.

[0076] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for sensing the state of a power transmission line based on tower leg stress analysis, characterized in that: include: Step 1: Establish a three-dimensional finite element model of the tower-line system according to the actual parameters and actual structure of the transmission tower-line system. The three-dimensional finite element model of the tower-line system is used to reflect the situation of the tower-line system. The three-dimensional finite element model of the tower-line system includes a transmission tower and a ground wire, ensuring that the parameters of the three-dimensional finite element model of the tower-line system correspond to the actual parameters and actual structure of the transmission tower-line system one by one; Step 2: Select the possible working conditions in the natural environment where the transmission line is located, simulate the different inclination angles of the transmission tower and the different ice thicknesses of the transmission line, apply corresponding loads and solution conditions to simulate the inclination or ice coverage of the tower-line system under different working conditions, and perform mechanical simulation analysis; Step 3: In each working condition, after finite element simulation calculation, obtain four simulated stress values ​​of the four tower leg monitoring points of the transmission tower in the three-dimensional finite element model of the tower-line system, take the maximum stress value among the four simulated stress values ​​as the simulated stress value, and perform quantitative analysis on the simulated stress value and the inclination angle of the transmission tower or the ice thickness of the transmission line; Step 4: Install stress monitoring devices at the four tower leg monitoring points of the actual transmission tower line. Combined with the results of data quantitative fitting analysis under different working conditions, in actual monitoring, take the maximum stress value among the four actual tower leg stress values ​​as the actual stress value, and reversely infer the inclination angle or ice thickness based on the actual stress value, so as to quickly perceive and evaluate the status of the transmission line.

2. The method for sensing power line status based on tower leg stress analysis according to claim 1, characterized in that: The step 1 comprises: Step 101, define the coordinate origin from the middle symmetrical position of the conductor cross arm of the transmission tower, and sequentially establish a three-dimensional finite element model of the ground wire support and cross arm, upper and lower curved arms, conductor cross arm, tower body structure, and tower leg structure; Step 102, determine the ground wire, conductor and insulator string hanging points, establish corresponding three-dimensional finite element models according to specific parameter models, and form a three-dimensional finite element model of the tower-line system; Step 103, NODE node fusion and node number compression are performed on the established three-dimensional finite element model of the tower-line system, and finally the mechanical simulation of the model is performed by loading its own weight load to check whether specific tower components and line nodes can be constrained by effective conditions and applied with general loads.

3. The method for sensing power line status based on tower leg stress analysis according to claim 1 is characterized in that: In the process of establishing the three-dimensional finite element model of the tower-line system, the discrete point form-finding method of the finite element model of the ground conductor is established. The coordinates of each discrete node on the ground conductor are obtained through the catenary equation of the ground conductor. The sag of the line can be adjusted by adjusting the values ​​of γ and σ0. The catenary equation of the ground conductor is: Where y is the height of the ground wire node; x is the horizontal distance from the suspension point to the lowest point of the sag; L h＝0 is the length of the catenary with equal height suspension points; l is the horizontal distance between the two suspension points; h is the vertical distance between the two suspension points; γ is the ratio of the gravity per unit length of the conductor to the conductor cross-section; σ0 is the stress at the lowest point of the conductor, that is, the tension per unit cross-section of the conductor.

4. The method for sensing power line status based on tower leg stress analysis according to claim 1, characterized in that: In step 2, multiple inclination angles of the transmission tower ranging from 5° to 40° are selected, and the corresponding stress values ​​are calculated respectively.

5. The method for sensing power transmission line status based on tower leg stress analysis according to claim 4 is characterized in that: The transmission tower inclination angles are selected as 5°, 10°, 15°, 20°, 25°, 30°, 35°, and 40°, and the corresponding stress values ​​are calculated respectively.

6. The method for sensing power line status based on tower leg stress analysis according to claim 4 is characterized in that: Taking the stress data f(m) of the tower leg monitoring point as the result indicator, the least square method is used to calculate the stress of the transmission tower at different inclination angles m. i The simulation results and stress index f(m) are used for curve fitting data analysis, and the calculation formula is: Among them, m is the inclination angle of the transmission tower, f(m) is the stress on the tower leg of the transmission tower, a1 is the unknown coefficient, and b1 is the unknown coefficient.

7. The method for sensing power line status based on tower leg stress analysis according to claim 1, characterized in that: In step 2, different ice coating thicknesses ranging from 10 to 40 mm are selected to perform line load application calculations, and the corresponding stress values ​​are calculated respectively.

8. The method for sensing power transmission line status based on tower leg stress analysis according to claim 7 is characterized in that: The ice thickness of the transmission tower is selected as 10mm, 15mm, 20mm, 25mm, 30mm, 35mm and 40mm, and the corresponding stress values ​​are calculated respectively.

9. The method for sensing power transmission line status based on tower leg stress analysis according to claim 7, characterized in that: Taking the stress data f(n) of the tower leg monitoring point as the result indicator, the least square method is used to calculate the stress of the transmission tower with different ice thickness n. j The simulation results and stress index f(n) are used for curve fitting data analysis, and the calculation formula is: Among them, n is the ice thickness of the transmission tower, f(n) is the stress on the tower legs of the transmission tower, a2 is an undetermined coefficient, and b2 is an undetermined coefficient.

10. The method for sensing power line status based on tower leg stress analysis according to claim 1, characterized in that: In step 2, in simulating different inclination angles of the transmission tower and different ice thicknesses of the transmission line, the inclination angle of the transmission tower is simulated by changing the angle between the tower leg and the horizontal plane in the three-dimensional finite element model of the tower-line system, and the ice thickness in the transmission line is simulated by changing the node gravity load of the transmission line in the three-dimensional finite element model of the tower-line system.

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