Power transmission tower safety intelligent evaluation method and system based on multi-source perception

Abstract

The application discloses a power transmission tower safety intelligent evaluation method and system based on multi-source perception, and belongs to the field of power transmission tower safety evaluation. Tower data and surrounding barrier data are acquired, meteorological data is acquired, a wind field evaluation model is constructed, wind speed and the relative distance of barriers to the tower are introduced into the wind field evaluation model to calculate the wind load and turbulence intensity of a sector, a rainfall evaluation model is constructed, the basic rainfall and sunshine data are introduced into the rainfall evaluation model to evaluate the effective rainfall and humidity of the sector, a tower strength evaluation model is constructed, the wind load, turbulence intensity and humidity of the sector are introduced into the tower strength evaluation model to evaluate the corrosion rate of the sector, the residual strength of the tower bottom is calculated, a tower safety evaluation model is constructed, the residual strength of the sector is introduced into the model to evaluate the tower structure safety, and the scientificity and reliability of tower operation and maintenance are improved.

Description

Technical Field

[0001] This application belongs to the field of transmission tower safety assessment, specifically a method and system for intelligent assessment of transmission tower safety based on multi-source sensing. Background Technology

[0002] As a crucial load-bearing structure for power transmission lines, transmission towers operate outdoors for extended periods, making them susceptible to the combined effects of various environmental factors, including wind, rain, solar radiation, and surrounding buildings and vegetation. The areas where towers are located often contain obstructions such as buildings, trees, and undulating terrain. These obstructions alter local wind patterns and rainwater erosion, thus affecting the stress state and corrosion rate of the towers. The base of the tower, due to its constant contact with rainwater, soil moisture, and fluctuating air humidity, is often the most prone to corrosion, resulting in uneven corrosion distribution.

[0003] Existing methods for assessing the safety of transmission towers mostly rely on periodic inspections and visual assessments, making it difficult to analyze the impact of environmental factors on the corrosion rate and strength degradation of the towers in a timely and quantitative manner. For example, wind loads and rainwater erosion are often unevenly distributed due to obstruction by surrounding buildings and vegetation, resulting in significant differences in the degree of corrosion on different sides of the tower. Traditional methods cannot accurately model and predict these differences.

[0004] This application presents a method for predicting tower corrosion and assessing safety by comprehensively considering multiple factors such as environmental obstructions, airflow characteristics, rainfall direction and frequency, in order to improve the scientific nature and reliability of tower operation and maintenance. By analyzing the distribution of obstructions, wind field changes, rainfall characteristics and tower line conditions in the area surrounding the tower, the method predicts the degree of corrosion in each direction at the bottom of the tower and assesses the safety of the transmission tower. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this application proposes a method and system for intelligent safety assessment of transmission towers based on multi-source sensing.

[0006] To achieve the above objectives, this application provides the following technical solution:

[0007] The intelligent safety assessment method for transmission towers based on multi-source sensing includes the following specific steps:

[0008] Acquire data on power transmission towers and surrounding obstructions, as well as meteorological data;

[0009] A wind field assessment model is constructed, and the wind speed and the relative distance from the obstruction to the tower are imported into the wind field assessment model to calculate the wind load and turbulence intensity of the sector;

[0010] A rainfall assessment model was constructed, and baseline rainfall and sunshine data were imported into the model to assess the effective rainfall and humidity of the sector.

[0011] A tower strength assessment model was constructed, and the wind load, turbulence intensity and humidity of the sector were imported into the tower strength assessment model to assess the corrosion rate of the sector and calculate the remaining strength at the bottom of the tower.

[0012] A safety assessment model for the pole and tower was constructed, and the remaining strength of the sector was imported into the model to assess the structural safety of the pole and tower.

[0013] Preferably, the steps of acquiring data on transmission towers and surrounding obstructions, while simultaneously acquiring meteorological data, include the following specific steps:

[0014] S11. Obtain the data of the transmission tower itself, including model, tower height and material data. With the center of the tower as the origin of the polar coordinates, divide the surrounding environment into u sectors evenly. Through sector division, perform quantitative analysis on the environmental differences in different directions.

[0015] S12. Obtain the three-dimensional coordinates and geometric dimensions of obstructions around the power transmission tower through drone aerial photography and lidar scanning. Calculate the relative distance from the obstruction to the tower using Euclidean distance. Substitute the three-dimensional coordinates of the surrounding obstructions and the three-dimensional coordinates of the transmission tower into the obstruction azimuth angle calculation formula to calculate the obstruction's azimuth angle relative to the tower. The obstruction azimuth angle calculation formula is as follows: ,in, Let x be the x-coordinate of the i-th obstacle. Given the ordinate of the i-th obstruction, project the obstruction's azimuth angle onto the sector range divided by polar coordinates to determine the sector location to which the obstruction belongs;

[0016] S13. Obtain meteorological data, including wind speed, wind direction, rainfall, and sunshine duration, through meteorological sensors installed near power transmission towers.

[0017] Preferably, the construction of the wind field assessment model, which imports wind speed and the relative distance from the obstruction to the tower into the wind field assessment model to calculate the wind load and turbulence intensity of the sector, includes the following specific steps:

[0018] S21. When the wind encounters an obstruction, the tower sector will be in the wind shadow zone, causing the wind speed to decrease. Substitute the relative distance from the obstruction to the tower into the sector wind speed calculation formula to calculate the sector wind speed. The formula for calculating the wind speed of the k-th sector is: ,in, The base wind speed is obtained from weather station data, and i represents the i-th obstruction. The blocking coefficient for the i-th obstacle is determined empirically based on the obstacle's height, shape, and distance, or obtained through CFD simulation. Let be the relative distance from the i-th obstacle to the tower. Let the height be the i-th obstacle. Let be the angle between the wind direction and the azimuth of the i-th obstacle, where the formula for calculating the angle between the wind direction and the azimuth of the i-th obstacle is: ,in, Given the wind direction angle, the standard deviation of the wind speed in the k-th sector and the average wind speed in the k-th sector are obtained by using the standard deviation calculation formula and the average wind speed calculation formula, respectively. The wind speed calculation formula of the sector quantitatively considers the effect of the obstruction on the wind speed, and at the same time corrects the wind speed by the wind direction and the azimuth angle of the obstruction.

[0019] S22. Substitute the sector wind speed into the wind pressure calculation formula to calculate the sector wind pressure. The formula for calculating the wind pressure of the k-th sector is: ,in, Given the air density, substitute the sector wind pressure into the sector wind load calculation formula to calculate the wind load on the k-th sector of the tower. The formula for calculating the wind load on the k-th sector is: ,in, The resistance coefficient for the k-th sector is determined based on the tower cross-sectional shape. The windward area of ​​the kth sector of the transmission tower is calculated by projection from the tower model.

[0020] S23. Substitute the standard deviation of wind speed in sector k and the average wind speed in sector k into the formula for calculating the turbulence intensity of sector k. The formula for calculating the turbulence intensity of sector k is as follows: ,in, Let K be the standard deviation of wind speed in sector k. Let be the average wind speed of the k-th sector, and turbulence represent the wind speed fluctuations, used to evaluate the accelerating effect of vortex-induced vibration on fatigue and corrosion.

[0021] Preferably, the construction of the rainfall assessment model, which involves importing baseline rainfall and sunshine data into the model to assess the effective rainfall and humidity of the sector, includes the following specific steps:

[0022] S31. Substitute the baseline rainfall into the formula for calculating the effective rainfall of a sector to calculate the effective rainfall of that sector. The formula for calculating the effective rainfall of the k-th sector is as follows: ,in, Based on rainfall, Let be the occlusion coefficient of the k-th sector. Let be the rainfall frequency, where the shading coefficient of the k-th sector is calculated using the following formula: ,in, Let be the projected area of ​​the i-th obstruction along the direction from the base of the tower. The direction angle of rainfall. Let nk be the total area at the base of the tower that can be wetted by rain, and nk be the total number of obstructions in the k-th sector. This represents the cumulative effect of the proportions of all unobstructed objects.

[0023] S32. Substitute the effective rainfall of the sector into the sector humidity calculation formula to evaluate the humidity of the sector. The humidity calculation formula for the k-th sector is as follows: ,in, For the duration of rainfall, For the duration of sunshine, The wetness coefficient is used to adjust the effect of wet-dry cycles on corrosion acceleration. It reflects the frequency of wet-dry cycles by the ratio of rainfall hours to sunshine hours.

[0024] Preferably, the construction of the tower strength assessment model, which incorporates the wind load, turbulence intensity, and humidity of the sector into the tower strength assessment model to assess the sector corrosion rate and calculate the remaining strength at the bottom of the tower, includes the following specific steps:

[0025] S41. Substitute the wind load, turbulence intensity, and wettability of the sector into the sector corrosion rate calculation formula to evaluate the corrosion rate of the transmission tower surface. The corrosion rate calculation formula for the k-th sector is as follows: ,in, Based on the basic oxidation corrosion rate, For wind load and turbulence function, Let be the humidity function, where the formulas for calculating wind load and turbulence function are: The formula for calculating the wettability function is: ,in, For reference wind load, For reference, wind speed and turbulence enhance the oxidation and electrochemical corrosion rate of metal surfaces. The higher the wettability, the faster the corrosion is caused by repeated wet-dry cycles.

[0026] S42. The structural strength of the tower base decreases over time. The health of the tower is assessed by substituting the sector corrosion rate into the formula for evaluating the remaining strength of the tower base. The formula for evaluating the remaining strength of the tower base in the k-th sector is as follows: ,in, For the initial strength of the material, The coefficient representing the effect of corrosion on strength. Let t be the initial thickness of the material at the bottom of the tower, and t be time.

[0027] Preferably, the construction of the tower safety assessment model, which imports the remaining strength of the sector into the model to assess the structural safety of the tower, includes the following specific steps:

[0028] S51. Compare the remaining strength at the bottom of the tower in sector k with the minimum allowable strength threshold for tower safety requirements. If it is within the threshold range, the tower strength in sector k still meets the safety requirements, corrosion has not yet affected the structural bearing capacity, and normal operation can continue. Regular inspection is recommended. If it exceeds the threshold range, the sector strength is lower than the safety requirements, corrosion has seriously affected the structural safety, and measures should be taken immediately for local reinforcement.

[0029] The intelligent safety assessment system for transmission towers based on multi-source sensing is implemented based on the aforementioned intelligent safety assessment method for transmission towers based on multi-source sensing, and specifically includes:

[0030] The data acquisition module is used to acquire data on power transmission towers and surrounding obstructions, as well as meteorological data.

[0031] The wind field assessment module is used to assess the wind load and turbulence intensity of a sector by measuring wind speed and the relative distance from obstructions to the tower.

[0032] The rainfall assessment module is used to assess the effective rainfall and humidity of a sector using baseline rainfall and sunshine data;

[0033] The tower strength assessment module is used to assess the corrosion rate of a sector based on wind load, turbulence intensity, and humidity, and to calculate the remaining strength at the base of the tower.

[0034] The pole and tower safety assessment module is used to assess the structural safety of poles and towers based on the remaining strength of sectors.

[0035] An electronic device includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0036] The processor executes the above-mentioned intelligent safety assessment method for transmission towers based on multi-source sensing by calling the computer program stored in the memory.

[0037] A computer-readable storage medium is characterized by storing instructions that, when executed on a computer, cause the computer to perform the aforementioned intelligent assessment method for the safety of transmission towers based on multi-source sensing.

[0038] Compared with the prior art, the beneficial effects of this application are:

[0039] This application acquires data on transmission towers and surrounding obstructions, as well as meteorological data, to construct a wind field assessment model. Wind speed and the relative distance from obstructions to the tower are imported into the wind field assessment model to calculate the wind load and turbulence intensity of the sector. A rainfall assessment model is constructed, importing baseline rainfall and sunshine data to assess the effective rainfall and humidity of the sector. A tower strength assessment model is constructed, importing wind load, turbulence intensity, and humidity of the sector to assess the corrosion rate of the sector and calculate the remaining strength at the bottom of the tower. A tower safety assessment model is constructed, importing the remaining strength of the sector into the model to assess the structural safety of the tower. This application comprehensively considers environmental obstructions, airflow characteristics, and rainfall direction to assess tower corrosion, thereby improving the scientific nature and reliability of tower operation and maintenance. Attached Figure Description

[0040] Figure 1 This is a schematic diagram of the overall process of the intelligent safety assessment method for transmission towers based on multi-source sensing in this application.

[0041] Figure 2 This is a flowchart of the remaining strength assessment process for the base of the tower in this application;

[0042] Figure 3 This is a schematic diagram of the overall framework of the intelligent safety assessment system for transmission towers based on multi-source sensing in this application. Detailed Implementation

[0043] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0044] Example 1

[0045] Please see Figures 1-2 This application provides an embodiment of a method for intelligent safety assessment of transmission towers based on multi-source sensing, which includes the following specific steps:

[0046] Acquire data on power transmission towers and surrounding obstructions, as well as meteorological data;

[0047] A wind field assessment model is constructed, and the wind speed and the relative distance from the obstruction to the tower are imported into the wind field assessment model to calculate the wind load and turbulence intensity of the sector;

[0048] A rainfall assessment model was constructed, and baseline rainfall and sunshine data were imported into the model to assess the effective rainfall and humidity of the sector.

[0049] A tower strength assessment model was constructed, and the wind load, turbulence intensity and humidity of the sector were imported into the tower strength assessment model to assess the corrosion rate of the sector and calculate the remaining strength at the bottom of the tower.

[0050] A safety assessment model for the pole and tower was constructed, and the remaining strength of the sector was imported into the model to assess the structural safety of the pole and tower.

[0051] In this embodiment, it is necessary to specifically explain that acquiring data on transmission towers and surrounding obstructions, while simultaneously acquiring meteorological data, includes the following specific steps:

[0052] S11. Obtain the data of the transmission tower itself, including model, tower height and material data. With the center of the tower as the origin of the polar coordinates, divide the surrounding environment into u sectors evenly.

[0053] S12. Obtain the three-dimensional coordinates and geometric dimensions of obstructions around the power transmission tower through drone aerial photography and lidar scanning. Calculate the relative distance from the obstruction to the tower using Euclidean distance. Substitute the three-dimensional coordinates of the surrounding obstructions and the three-dimensional coordinates of the transmission tower into the obstruction azimuth angle calculation formula to calculate the obstruction's azimuth angle relative to the tower. The obstruction azimuth angle calculation formula is as follows: ,in, Let x be the x-coordinate of the i-th obstacle. Let be the ordinate of the i-th obstruction. Project the obstruction's azimuth angle onto the sector range defined by polar coordinates to determine the sector position to which the obstruction belongs. The calculation of the obstruction's azimuth angle is used to convert rectangular coordinates into the corresponding polar coordinate angle. Let be the azimuth angle of the i-th obstruction relative to the north direction of the tower;

[0054] S13. Obtain meteorological data, including wind speed, wind direction, rainfall, and sunshine duration, through meteorological sensors installed near power transmission towers.

[0055] In this embodiment, it is necessary to specifically explain that constructing a wind field assessment model and importing the wind speed and the relative distance from the obstruction to the tower into the wind field assessment model to calculate the wind load and turbulence intensity of the sector includes the following specific steps:

[0056] S21. When the wind encounters an obstruction, the tower sector will be in the wind shadow zone, causing the wind speed to decrease. Substitute the relative distance from the obstruction to the tower into the sector wind speed calculation formula to calculate the sector wind speed. The formula for calculating the wind speed of the k-th sector is: ,in, The base wind speed is obtained from weather station data, and i represents the i-th obstruction. The blocking coefficient for the i-th obstacle is determined empirically based on the obstacle's height, shape, and distance, or obtained through CFD simulation. Let be the relative distance from the i-th obstacle to the tower. Let the height be the i-th obstacle. Let be the angle between the wind direction and the azimuth of the i-th obstacle, where the formula for calculating the angle between the wind direction and the azimuth of the i-th obstacle is: ,in, Given the wind direction angle, the standard deviation of the wind speed in the k-th sector and the average wind speed in the k-th sector are obtained by using the standard deviation calculation formula and the average wind speed calculation formula, respectively. When the angle between the wind and the center line of the obstruction is large, the weakening effect of the obstruction on the wind speed in the sector is reduced. The wind speed calculation formula of the sector takes into account the base wind speed, wind direction and the influence of the wake of the obstruction, and represents the degree of wind speed reduction at the location of the tower. The attenuation law of the blocking effect compared with the distance and height is represented by exponential decay.

[0057] S22. Substitute the sector wind speed into the wind pressure calculation formula to calculate the sector wind pressure. The formula for calculating the wind pressure of the k-th sector is: ,in, air density, Let the wind speed be the sector speed. Substitute the sector wind pressure into the sector wind load calculation formula to calculate the wind load on the tower in the sector k. The wind load calculation formula for the sector k is: ,in, Let K be the wind pressure of sector k. The resistance coefficient for the k-th sector is determined based on the tower cross-sectional shape. The windward area of ​​the kth sector of the transmission tower is calculated by projection from the tower model.

[0058] S23. Substitute the standard deviation of wind speed in sector k and the average wind speed in sector k into the formula for calculating the turbulence intensity of sector k. The formula for calculating the turbulence intensity of sector k is as follows: ,in, Let K be the standard deviation of wind speed in sector k. Let be the average wind speed in the k-th sector, and turbulence represent wind speed fluctuations;

[0059] In this embodiment, it should be specifically explained that constructing a rainfall assessment model and importing baseline rainfall and sunshine data into the model to assess the effective rainfall and humidity of a sector includes the following specific steps:

[0060] S31. Rainfall affects the corrosion at the base of the tower, but the impact of rain on different directions of the tower varies significantly. The effective rainfall for a sector is calculated by substituting the base rainfall amount into the formula for calculating the effective rainfall for that sector. The formula for calculating the effective rainfall for the k-th sector is as follows: ,in, Based on rainfall, Let be the occlusion coefficient of the k-th sector. Let be the rainfall frequency, where the shading coefficient of the k-th sector is calculated using the following formula: ,in, Let be the projected area of ​​the i-th obstruction along the direction from the base of the tower. Let be the azimuth angle of the i-th obstruction relative to the north direction of the tower. Let be the direction angle of rainfall, be the total area at the base of the tower that can be wetted by rain, and nk be the total number of obstructions in the k-th sector. This represents the cumulative effect of the proportions of all unobstructed objects.

[0061] S32. Substitute the effective rainfall of the sector into the sector humidity calculation formula to evaluate the humidity of the sector. The humidity calculation formula for the k-th sector is as follows: ,in, For the duration of rainfall, For the duration of sunshine, The wetness coefficient is used to adjust the effect of wet-dry cycles on corrosion acceleration. It reflects the frequency of wet-dry cycles by the ratio of rainfall hours to sunshine hours.

[0062] In this embodiment, it is necessary to specifically explain that the construction of the tower strength assessment model, the import of wind load, turbulence intensity and humidity of the sector into the tower strength assessment model to evaluate the sector corrosion rate, and the calculation of the remaining strength at the bottom of the tower include the following specific steps:

[0063] S41. Substitute the wind load, turbulence intensity, and wettability of the sector into the sector corrosion rate calculation formula to evaluate the corrosion rate of the transmission tower surface. The corrosion rate calculation formula for the k-th sector is as follows: ,in, Based on the basic oxidation corrosion rate, For wind load and turbulence function, Let the wind load be for sector k. Let k be the turbulence intensity of the k-th sector. It is a function of humidity. Let be the humidity of the k-th sector, where the formulas for calculating wind load and turbulence function are: The formula for calculating the wettability function is: ,in, For reference wind load, For reference, wind speed and turbulence enhance the oxidation and electrochemical corrosion rate of metal surfaces. The higher the wettability, the faster the corrosion is caused by repeated wet-dry cycles.

[0064] S42. The structural strength of the tower base decreases over time. The health of the tower is assessed by substituting the sector corrosion rate into the formula for evaluating the remaining strength of the tower base. The formula for evaluating the remaining strength of the tower base in the k-th sector is as follows: ,in, Let k be the corrosion rate of sector k. For the initial strength of the material, The coefficient representing the effect of corrosion on strength. Let t be the initial thickness of the material at the bottom of the tower, and t be time. The corrosion rate is quantified as the material strength decay using the formula for assessing the remaining strength at the bottom of the tower.

[0065] In this embodiment, it should be specifically explained that the construction of the tower safety assessment model, which imports the remaining strength of the sector into the model to assess the structural safety of the tower, includes the following specific steps:

[0066] S51. Compare the remaining strength at the bottom of the tower in sector k with the minimum allowable strength threshold for tower safety requirements. If it is within the threshold range, the tower strength in sector k still meets the safety requirements, corrosion has not yet affected the structural bearing capacity, and normal operation can continue. Regular inspection is recommended. If it exceeds the threshold range, the sector strength is lower than the safety requirements, corrosion has seriously affected the structural safety, and measures should be taken immediately for local reinforcement.

[0067] It should be noted that the various setting parameters in this embodiment are determined as follows: obtain representative historical environmental and maintenance data of transmission towers, obtain historical corrosion conditions on the bottom surface of transmission towers, hire experts to manually assess the safety of corrosion on the bottom surface of transmission towers, and substitute the obtained historical data into the calculation and assessment results of each step in this embodiment, then substitute these results into the fitting software to output the values ​​of various setting parameters that meet the highest assessment accuracy.

[0068] The advantages of this embodiment compared to the prior art are:

[0069] This application acquires data on transmission towers and surrounding obstructions, as well as meteorological data, to construct a wind field assessment model. Wind speed and the relative distance from obstructions to the tower are imported into the wind field assessment model to calculate the wind load and turbulence intensity of the sector. A rainfall assessment model is constructed, importing baseline rainfall and sunshine data to assess the effective rainfall and humidity of the sector. A tower strength assessment model is constructed, importing wind load, turbulence intensity, and humidity of the sector to assess the corrosion rate of the sector and calculate the remaining strength at the bottom of the tower. A tower safety assessment model is constructed, importing the remaining strength of the sector into the model to assess the structural safety of the tower. This application comprehensively considers environmental obstructions, airflow characteristics, and rainfall direction to assess tower corrosion, thereby improving the scientific nature and reliability of tower operation and maintenance.

[0070] Example 2

[0071] like Figure 3As shown, the intelligent safety assessment system for transmission towers based on multi-source sensing is implemented based on the aforementioned intelligent safety assessment method for transmission towers based on multi-source sensing. Specifically, it includes a data acquisition module, a wind field assessment module, a rainfall assessment module, a tower strength assessment module, and a tower safety assessment module. The data acquisition module acquires data on the transmission tower and surrounding obstructions, as well as meteorological data. The wind field assessment module assesses the wind load and turbulence intensity of the sector based on wind speed and the relative distance from obstructions to the tower. The rainfall assessment module assesses the effective rainfall and humidity of the sector based on baseline rainfall and sunshine data. The tower strength assessment module assesses the corrosion rate of the sector based on wind load, turbulence intensity, and humidity, and calculates the remaining strength at the bottom of the tower. The tower safety assessment module assesses the structural safety of the tower based on the remaining strength of the sector.

[0072] Example 3

[0073] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0074] The processor executes the aforementioned intelligent safety assessment method for transmission towers based on multi-source sensing by calling the computer program stored in the memory.

[0075] The electronic device can vary considerably depending on its configuration or performance. It may include one or more Central Processing Units (CPUs) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement the intelligent assessment method for the safety of transmission towers based on multi-source sensing provided in the above-described embodiment. The electronic device may also include other components for implementing its functions; for example, it may have wired or wireless network interfaces and input / output interfaces for data input and output. Details will not be elaborated upon in this embodiment.

[0076] Example 4

[0077] This embodiment proposes a computer-readable storage medium on which an erasable and rewritable computer program is stored.

[0078] When the computer program runs on the computer device, it causes the computer device to execute the above-mentioned intelligent assessment method for the safety of transmission towers based on multi-source sensing.

[0079] For example, computer-readable storage media can be read-only memory (ROM), random access memory (RAM), compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage devices.

[0080] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions according to the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network and / or wireless network. A computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives.

Claims

1. A method for intelligent safety assessment of transmission towers based on multi-source sensing, characterized in that, It includes the following specific steps: Acquiring data on transmission towers and surrounding obstructions, along with meteorological data, involves the following specific steps: First, acquiring data on the transmission tower itself, including its model, height, and materials. Second, dividing the surrounding environment into u sectors with the tower center as the polar coordinate origin. Third, obtaining the three-dimensional coordinates and geometric dimensions of surrounding obstructions through drone aerial photography and LiDAR scanning. Finally, calculating the relative distance from the obstruction to the tower using Euclidean distance. Substituting the three-dimensional coordinates of the surrounding obstructions and the transmission tower into the obstruction azimuth angle calculation formula, the direction angle of the obstruction relative to the tower is calculated. The obstruction azimuth angle calculation formula is as follows: ,in, Let x be the x-coordinate of the i-th obstacle. Let be the ordinate of the i-th obstruction. Project the azimuth angle of the obstruction onto the sector range divided by polar coordinates to determine the sector location to which the obstruction belongs. Obtain meteorological data, including wind speed, wind direction, rainfall and sunshine duration, through meteorological sensors installed near the transmission tower. A wind field assessment model is constructed, incorporating wind speed and the relative distance from obstructions to towers into the model to calculate wind load and turbulence intensity in sectors. This includes the following specific steps: Substituting the relative distance from obstructions to towers into the sector wind speed calculation formula to calculate the sector wind speed, where the formula for calculating the wind speed of the k-th sector is: ,in, Let i be the base wind speed, and i be the i-th obstruction. Let be the blocking coefficient of the i-th obstacle. Let be the relative distance from the i-th obstacle to the tower. Let the height be the i-th obstacle. Let be the angle between the wind direction and the azimuth of the i-th obstacle, where the formula for calculating the angle between the wind direction and the azimuth of the i-th obstacle is: ,in, Given the wind direction angle, the standard deviation and average wind speed of the k-th sector are obtained using the standard deviation and average wind speed calculation formulas, respectively. The sector wind speed is then substituted into the wind pressure calculation formula to calculate the sector wind pressure. The formula for calculating the wind pressure of the k-th sector is as follows: ,in, Given the air density, substitute the sector wind pressure into the sector wind load calculation formula to calculate the wind load on the k-th sector of the tower. The formula for calculating the wind load on the k-th sector is: ,in, Let be the resistance coefficient of the k-th sector. Let the windward area of ​​the k-th sector of the transmission tower be denoted as . Substitute the standard deviation of the wind speed and the average wind speed of the k-th sector into the formula for calculating the turbulence intensity of the sector. The formula for calculating the turbulence intensity of the k-th sector is as follows: ,in, Let K be the standard deviation of wind speed in sector k. Let K be the average wind speed in sector k. A rainfall assessment model was constructed, and baseline rainfall and sunshine data were imported into the model to assess the effective rainfall and humidity of the sector. A tower strength assessment model was constructed, and the wind load, turbulence intensity and humidity of the sector were imported into the tower strength assessment model to assess the corrosion rate of the sector and calculate the remaining strength at the bottom of the tower. A safety assessment model for the pole and tower was constructed, and the remaining strength of the sector was imported into the model to assess the structural safety of the pole and tower.

2. The intelligent safety assessment method for transmission towers based on multi-source sensing as described in claim 1, characterized in that, The construction of the rainfall assessment model, which involves importing baseline rainfall and sunshine data into the model to assess the effective rainfall and humidity of a sector, includes the following specific steps: S31. Substitute the baseline rainfall into the formula for calculating the effective rainfall of a sector to calculate the effective rainfall of that sector. The formula for calculating the effective rainfall of the k-th sector is as follows: ,in, Based on rainfall, Let be the occlusion coefficient of the k-th sector. Let be the rainfall frequency, where the shading coefficient of the k-th sector is calculated using the following formula: ,in, Let be the projected area of ​​the i-th obstruction along the direction from the base of the tower. The direction angle of rainfall. is the total area at the base of the tower that is wetted by rain, and nk is the total number of obstructions in the k-th sector; S32. Substitute the effective rainfall of the sector into the sector humidity calculation formula to evaluate the humidity of the sector. The humidity calculation formula for the k-th sector is as follows: ,in, For the duration of rainfall, For the duration of sunshine, This is the humidity coefficient.

3. The intelligent safety assessment method for transmission towers based on multi-source sensing as described in claim 2, characterized in that, The construction of the tower strength assessment model, which incorporates wind load, turbulence intensity, and humidity of the sector into the model to assess the sector corrosion rate and calculate the remaining strength at the tower base, includes the following specific steps: S41. Substitute the wind load, turbulence intensity, and wettability of the sector into the sector corrosion rate calculation formula to evaluate the corrosion rate of the transmission tower surface. The corrosion rate calculation formula for the k-th sector is as follows: ,in, Based on the basic oxidation corrosion rate, For wind load and turbulence function, Let be the humidity function, where the formulas for calculating wind load and turbulence function are: The formula for calculating the wettability function is: ,in, For reference wind load, For reference wetting amount; S42. The structural strength of the tower base decreases over time. The health of the tower is assessed by substituting the sector corrosion rate into the formula for evaluating the remaining strength of the tower base. The formula for evaluating the remaining strength of the tower base in the k-th sector is as follows: ,in, For the initial strength of the material, The coefficient representing the influence of corrosion on strength. Let t be the initial thickness of the material at the bottom of the tower, and t be time.

4. The intelligent safety assessment method for transmission towers based on multi-source sensing as described in claim 3, characterized in that, The construction of the tower safety assessment model, which imports the remaining sector strength into the model to assess the structural safety of the tower, includes the following specific steps: The remaining strength at the bottom of the tower in sector k is compared with the minimum allowable strength threshold for tower safety requirements. If it is within the threshold range, the tower strength in sector k meets the safety requirements and can continue to operate normally. If it exceeds the threshold range, the strength in sector k is lower than the safety requirements, and measures should be taken immediately for local reinforcement.

5. A multi-source sensing-based intelligent safety assessment system for transmission towers, implemented based on the multi-source sensing-based intelligent safety assessment method for transmission towers as described in any one of claims 1-4, characterized in that, Specifically, it includes: The data acquisition module is used to acquire data on power transmission towers and surrounding obstructions, as well as meteorological data. The wind field assessment module is used to assess the wind load and turbulence intensity of a sector by measuring wind speed and the relative distance from obstructions to the tower. The rainfall assessment module is used to assess the effective rainfall and humidity of a sector using baseline rainfall and sunshine data; The tower strength assessment module is used to assess the corrosion rate of a sector based on wind load, turbulence intensity, and humidity, and to calculate the remaining strength at the base of the tower. The pole and tower safety assessment module is used to assess the structural safety of poles and towers based on the remaining strength of sectors.

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