Reliability verification method, device and equipment of traction vehicle power supply stand column and medium

Abstract

The invention discloses a reliability verification method, device and equipment for a traction vehicle power supply stand column and a storage medium. The reliability verification method comprises the steps that basic information of the traction vehicle power supply stand column arranged in a target region and the historical maximum wind speed of the target region are acquired; determining instantaneous pulling force borne by the traction vehicle power supply stand column when the traction vehicle power supply is in a working state, and determining the corresponding maximum wind load of the traction vehicle power supply stand column at the historical maximum wind speed according to the basic information; and reliability verification is carried out on the traction vehicle power supply stand column according to the self-gravity of the traction vehicle power supply stand column, the instantaneous pulling force and the maximum wind load, and a reliability verification result is obtained. According to the method, the instantaneous tension generated in the real-time working state and the wind load in the extreme climate are fused, so that multi-working-condition coupling analysis of reliability verification of the traction vehicle power supply stand column is realized, and the accuracy of reliability verification is improved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of railway transportation, and in particular, to a method, device, equipment and medium for verifying the reliability of a traction power supply column. Background Art

[0002] A traction power supply is a special equipment that supplies power to a locomotive by using a pantograph and a plug, so that the locomotive can run in a non-powered area. It is generally used in the locomotive maintenance yard and installed at a height of 3.8 meters. A special inward-rolled edge bridge is used, with a pantograph installed inside. A trolley that moves along the direction of the bridge is installed by using the inward-rolled edge on the inner side of the bridge. The trolley contacts the pantograph with a current collector, and the power is transmitted to the locomotive through a cable fixed under the trolley.

[0003] As a key support structure, the traction power supply column bears multi-physical field coupling loads during operation, including the instantaneous traction force of the trolley, the self-weight of the column, and the wind load amplification effect caused by the protective net. Due to the different working areas of the traction power supply, there are regional wind pressure differences (for example, the wind speed difference between typhoons in coastal areas and monsoons in inland areas can reach 300%). Therefore, it has become an urgent task to verify the structural reliability (strength and stability) of the traction power supply column during operation under different regions and different wind force levels. Summary of the Invention

[0004] The embodiments of the present invention provide a method, device, equipment and storage medium for verifying the reliability of a traction power supply column. By integrating the instantaneous tension generated in the real-time working state and the wind load in extreme climates, a multi-condition coupling analysis of the reliability verification of the traction power supply column is realized, and the accuracy of the reliability verification result is improved.

[0005] In a first aspect, the embodiments of the present invention provide a method for verifying the reliability of a traction power supply column, including:

[0006] Obtaining the basic information of the traction power supply column set in the target area and the historical maximum wind speed of the target area;

[0007] Determining the instantaneous tension borne by the traction power supply column when the traction power supply is in a working state, and determining the maximum wind load corresponding to the traction power supply column under the historical maximum wind speed according to the basic information;

[0008] Verifying the reliability of the traction power supply column according to the self-gravity of the traction power supply column, as well as the instantaneous tension and the maximum wind load, to obtain a reliability verification result.

[0009] In a second aspect, the embodiments of the present invention further provide a device for verifying the reliability of a traction power supply column, and the device includes:

[0010] An information acquisition module, configured to acquire the basic information of the towing power supply column arranged in the target area and the historical maximum wind speed of the target area;

[0011] A load determination module, configured to determine the instantaneous tension borne by the towing power supply column when the towing power supply is in a working state, and determine the maximum wind load corresponding to the towing power supply column under the historical maximum wind speed according to the basic information;

[0012] A reliability verification module, configured to perform reliability verification on the towing power supply column according to the self-gravity of the towing power supply column, the instantaneous tension and the maximum wind load, and obtain a reliability verification result.

[0013] In a third aspect, an embodiment of the present disclosure further provides an electronic device, including:

[0014] One or more processors;

[0015] A storage device, configured to store one or more programs,

[0016] When the one or more programs are executed by the one or more processors, the one or more processors implement the reliability verification method for the towing power supply column provided by the embodiment of the present disclosure.

[0017] In a fourth aspect, an embodiment of the present disclosure further provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute the reliability verification method for the towing power supply column provided by the embodiment of the present disclosure when executed by a computer processor.

[0018] In a fifth aspect, an embodiment of the present disclosure provides a computer program product, the computer program product includes a computer program, and the computer program implements the reliability verification method for the towing power supply column provided by the embodiment of the first aspect when executed by a processor.

[0019] The present invention discloses a reliability verification method, device, equipment and storage medium for a towing power supply column. Through the reliability verification method for the towing power supply column, the basic information of the towing power supply column arranged in the target area and the historical maximum wind speed of the target area are acquired; the instantaneous tension borne by the towing power supply column when the towing power supply is in a working state is determined, and the maximum wind load corresponding to the towing power supply column under the historical maximum wind speed is determined according to the basic information; the reliability verification of the towing power supply column is performed according to the self-gravity of the towing power supply column, the instantaneous tension and the maximum wind load, and a reliability verification result is obtained. The above technical solution realizes the multi-condition coupling analysis of the reliability verification of the towing power supply column by integrating the instantaneous tension generated in the real-time working state and the wind load in extreme weather, and improves the accuracy of the reliability verification. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In conjunction with the accompanying drawings and with reference to the following detailed description, the above and other features, advantages, and aspects of the various embodiments of the present disclosure will become more apparent. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic and that the original and elements are not necessarily drawn to scale.

[0021] Figure 1 It is a flowchart of a method for verifying the reliability of a towing power column provided in the first embodiment of the present disclosure;

[0022] Figure 2 It is a schematic diagram of a model of a towing power column provided in the first embodiment of the present disclosure;

[0023] Figure 3 It is a flowchart of a method for verifying the reliability of a towing power column provided in the second embodiment of the present disclosure;

[0024] Figure 4 It is a flowchart of a method for determining a deformation index and a critical load factor provided in the second embodiment of the present disclosure;

[0025] Figure 5 It is an example diagram of determining a deformation index and a critical load factor by non-linear finite element analysis provided in the second embodiment of the present disclosure;

[0026] Figure 6 It is a flowchart of a method for determining the maximum wind load provided in the second embodiment of the present disclosure;

[0027] Figure 7 It is a schematic structural diagram of a device for verifying the reliability of a towing power column provided in the third embodiment of the present disclosure;

[0028] Figure 8 It is a schematic structural diagram of an electronic device provided in the fourth embodiment of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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 of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0030] It should be noted that the terms "first", "second", etc. in the description, claims and above-mentioned drawings of the present invention are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0031] Embodiment 1

[0032] Figure 1 The figure is a flowchart of the reliability verification of a trailer power column provided by an embodiment of the present disclosure. The embodiment of the present disclosure is applicable to situations where the problem of how to verify the structural reliability of a trailer power column during operation is to be solved. This method can be executed by a reliability verification device for the trailer power column, and the device can be implemented in the form of software and / or hardware. Optionally, it can be implemented by using an electronic device as an execution terminal, and the electronic device can be a mobile terminal, a PC or a server, etc.

[0033] As Figure 1 shown, a method for the reliability verification of a trailer power column provided by an embodiment of the present disclosure may specifically include the following steps:

[0034] S101. Obtain the basic information of the trailer power column set in the target area and the historical maximum wind speed of the target area.

[0035] In this embodiment, the towing power supply column is a comprehensive facility structure, which mainly consists of several parts such as the bridge, column, and protective net of the towing power supply. Among them, the column serves as the basic support of the entire structure, bearing the weight of the bridge and the protective net to ensure the stability of the entire towing power supply system. The towing power supply bridge is an important component for arranging the relevant lines and equipment of the towing power supply, providing a safe and orderly channel for the transmission and distribution of power. The protective net plays a protective role. On the one hand, it can prevent external objects from colliding with and damaging the bridge and the towing power supply equipment. On the other hand, it can also ensure the safety of personnel to a certain extent and prevent personnel from accidentally contacting live equipment. The bridge and the protective net are fixed to the column through a specific installation method, and this installation method needs to ensure sufficient firmness and stability to withstand the tests of various environmental conditions. The target area refers to the area where the towing power supply column is located, and different regional environments will have a significant impact on the design and use of the towing power supply column. Common target areas include plateau areas, inland plain areas, and coastal areas. The basic information can be a detailed description of various attributes of the towing power supply column, such as the dimensions (such as length, width, height), weight, and construction materials of the towing power supply column. The historical maximum wind speed can be the maximum wind speed recorded in the area, or the maximum wind speed in the past 50 years or 100 years.

[0036] Exemplarily, Figure 2 As shown in the schematic diagram of the model of a towing power supply column provided by Embodiment 1 of the present disclosure, Figure 2 as shown, the towing power supply column includes a pair of columns with a spacing of 6 m. A protective net is installed at a height of 4.0 m on the upper side of the columns, and the bridge of the towing power supply is installed at a height of 3.8 m on the columns below the protective net.

[0037] Specifically, obtain a configuration file or document configured with the basic information of the towing power supply column and the historical maximum wind speed of the target area, read the configuration file or document, and obtain the basic information of the towing power supply column set in the target area and the historical maximum wind speed of the target area.

[0038] Specifically, the ways to obtain the configuration file or document can be as follows: When obtaining the historical maximum wind speed in the target area, it is necessary to combine the authoritative database of the meteorological bureau and the data of the on-site micro-meteorological observation station. The data can cover historical wind speed records, wind direction frequency distribution, temperature change range, and humidity level. For example, in high-typhoon coastal areas, in addition to querying the 50-year extreme wind speed records, ultrasonic anemometers need to be installed within a radius of 500 meters from the installation point of the column to continuously monitor at a set sampling frequency. After eliminating the terrain shielding effect, the corrected wind speed can be obtained. At the same time, accurately measure the basic physical parameters of the traction power column, including dimensions (length, width, height), mass, material properties (elastic modulus, Poisson's ratio, density), etc. Use high-precision measurement tools, such as laser scanners, to measure the dimensions of the column to ensure the accuracy of the data. For material properties, obtain data such as elastic modulus and Poisson's ratio under different working conditions through laboratory tests, and consider the wear and aging factors in actual use. Organize and store all the above basic information, construct a detailed configuration file, and classify and store the data for subsequent query and use.

[0039] S102. Determine the instantaneous tension borne by the traction power column when the traction power is in the working state, and determine the maximum wind load corresponding to the traction power column under the historical maximum wind speed according to the basic information.

[0040] In this embodiment, the traction power being in the working state can be that the trolley installed on the inner edge of the bridge travels along the direction of the bridge. The instantaneous tension refers to the tension suddenly applied or changed within a very short time when the trolley is moving. The maximum wind load can be the maximum dynamic pressure generated when acting on the traction power column. The maximum wind load is the maximum dynamic pressure generated when acting on the traction power column. The magnitude of the wind load is comprehensively affected by various factors. According to the calculation formula of fluid mechanics, when the structure, wind speed, and air density are all certain, the magnitude of the wind load is closely related to the direct contact area between the wind and the traction power column. When the projected area of the traction power column on the vertical plane in the direction of the maximum historical wind speed is the largest, the wind load reaches the maximum value. This is because the larger the contact area between the wind and the column, the greater the force exerted by the wind on the column, resulting in a greater dynamic pressure.

[0041] Specifically, when the traction power is in the working state, the instantaneous tension borne by the traction power column is determined by the direct measurement method or the indirect calculation method.

[0042] Exemplarily, a high-precision sensor is used to directly measure the instantaneous tensile force. For example, a pressure sensor is installed at the connection part between the towing power supply column and the vehicle to obtain the tensile force data in real time. In the case of indirect calculation, the operating parameters of the vehicle need to be closely monitored. A high-precision sensor network is installed to collect data such as the vehicle's speed, acceleration, and traction force in real time. These sensors are distributed at key parts of the vehicle, such as the wheel axle and the engine output end, to ensure the accuracy and comprehensiveness of the data. According to the vehicle's dynamics equation, combined with the real-time collected data, the instantaneous tensile force is accurately calculated based on the instantaneous speed and the power during traction. By establishing a complex mathematical model, the data collected by the sensors is substituted into the equation to solve for the accurate instantaneous tensile force value. It is also possible to use both methods simultaneously, compare and verify the instantaneous tensile force data obtained by the two methods to ensure the accuracy and reliability of the data. If there are differences between the two sets of data, check the sensors and the calculation model in a timely manner, find out the reasons and make adjustments.

[0043] Continuing from the above, determine the maximum projected area of the towing power supply column on the vertical plane in the direction of the maximum historical wind speed according to the dimensions in the basic information, and calculate the maximum wind load corresponding to the towing power supply column under the historical maximum wind speed based on the projected area. For the calculation of the maximum wind load, an artificial intelligence correction factor can also be introduced. Compare the collapse wind speed of the same type of structure in the historical disaster damage case database with the simulation results, and train a Bayesian network model of wind speed - projected area - failure probability to output the extreme value of the wind load after risk calibration. It is also possible to calculate the maximum wind load according to the basic information through the calculation formula of fluid mechanics.

[0044] Exemplarily, to determine the maximum wind load corresponding to the towing power supply column under the historical maximum wind speed, a computational fluid dynamics tool can be used to model the towing power supply column and input the historical maximum wind speed into the model to output the maximum wind load. The method of using a computational fluid dynamics tool to output the maximum wind load is as follows: First, a three-dimensional model of the towing power supply column can be constructed using professional modeling software, such as computer-aided design software. According to the actual dimensions and shape, accurately draw the geometric structure of the column. Set reasonable boundary conditions, such as the position and number of fixed constraint points, to simulate the force-bearing situation of the column in the actual installation state. Select a suitable computational fluid dynamics tool, such as computational fluid dynamics software. Import the three-dimensional model into the computational fluid dynamics software for mesh generation to generate high-quality computational meshes. According to the shape of the column and the characteristics of the flow field, select a suitable turbulence model and solution algorithm, input the historical maximum wind speed into the pre-constructed computational fluid dynamics model, and solve for the maximum wind load through iterative calculations. During the calculation process, consider the influence of factors such as the roughness of the column surface and the air viscosity coefficient on the wind load. Post-process the calculation results to extract key information such as the magnitude, direction, and acting point position of the wind load.

[0045] S103. Conduct reliability verification on the towing power supply column according to its self - gravity, instantaneous tensile force, and maximum wind load to obtain the reliability verification result.

[0046] In this embodiment, the self - gravity can be the force generated by its own weight. The way to obtain the self - gravity of the towing power supply column can be directly obtained from the above - mentioned basic information, or the weight of the towing power supply column can be obtained, and the product of the weight and the standard gravitational acceleration is used as the self - gravity. Reliability verification is to verify or ensure that the towing power supply column continuously meets performance requirements such as stability and strength under set conditions (for example, the towing power supply column has no structural failure under the wind load with a return period of 50 years). The reliability verification result can be the verification result regarding reliability obtained during the reliability verification process of the towing power supply column.

[0047] Specifically, according to the self - weight and relevant information such as material properties and structural dimensions obtained from the basic information, calculate the stress distribution of the towing power supply column under its own gravity. Using the finite - element analysis method, divide the column into multiple tiny units, and calculate the stress and strain of each unit according to the formula of material mechanics. Considering the non - uniform distribution of the self - weight of the column and the influence of the connection method between different components on the stress distribution, establish a finite - element model of multi - physical - field coupling to simulate the force - bearing process of the towing power supply column in the actual working environment, and analyze the deformation trend and stress - concentration area under different working - condition combinations. Extract reliability indexes such as deformation index and critical load factor, and compare the calculation results with the pre - set reliability - index threshold. The deformation index reflects the relationship between the deformation degree of the column under different working conditions and the allowable deformation range, and the critical load factor indicates the degree of the column approaching the unstable state. If the calculation result is less than the index threshold, it is determined that the reliability of the towing power supply column meets the requirements; otherwise, it does not meet the requirements.

[0048] Based on the above - mentioned embodiment, it further includes: applying the reliability verification result to the actual engineering design to provide a basis for the design optimization of the towing power supply column. If the verification result shows that there are reliability problems in certain areas, the designer can adjust the structural form, material selection, or connection method of the column accordingly. For example, increase the wall thickness to improve the structural strength, and optimize the cross - section shape to improve the force - bearing performance. At the same time, it is used to guide the construction and maintenance work, and formulate reasonable construction techniques and quality - control standards. During the construction process, determine the key monitoring parts and key construction links according to the reliability verification result to ensure that the installation quality of the column meets the requirements. During the maintenance stage, formulate a maintenance plan according to the verification result, give priority to checking and repairing the parts with lower reliability, and extend the service life of the column.

[0049] The technical solution of the embodiment of the present invention determines the instantaneous tensile force borne by the towing power supply column when the towing power supply is in the working state, and the maximum wind load corresponding to the historical maximum wind speed; conducts reliability verification on the towing power supply column to obtain the reliability verification result. The above technical solution realizes the multi-condition coupling analysis of the reliability verification of the towing power supply column by integrating the instantaneous tensile force generated in the real-time working state and the wind load in extreme climates, and improves the accuracy of the reliability verification result.

[0050] Embodiment 2

[0051] Figure 3 It is a flowchart of a method for reliability verification of a towing power supply column provided in Embodiment 2 of the present invention, which is further optimized and extended based on the above embodiment and can be combined with each optional technical solution in the above embodiment. As Figure 3 shown, a method for reliability verification of a towing power supply column provided in Embodiment 2 specifically includes the following steps:

[0052] S201. Obtain the basic information of the towing power supply column set in the target area and the historical maximum wind speed of the target area.

[0053] S202. Measure the instantaneous speed of the vehicle when the towing power supply works at the maximum power to tow the vehicle.

[0054] S203. Use the ratio of the maximum power to the instantaneous speed as the instantaneous tensile force.

[0055] In this embodiment, the maximum power can be the peak power that the towing power supply can continuously output when operating within the safety threshold. The towing power supply outputs the maximum power, and the towing vehicle moves along the bridge direction. The speed of the vehicle is measured by a high-precision sensor or a millimeter-wave radar to obtain the instantaneous speed of the vehicle. The instantaneous tensile force can be the axial tensile force borne by the towing power supply column at a certain moment, and the direction of the instantaneous tensile force can be parallel to the bridge. The ratio of the maximum power to the instantaneous speed is used as the instantaneous tensile force.

[0056] Specifically, the towing power supply outputs the maximum power and towes the vehicle connected to the towing power supply to move along the bridge direction. The speed of the vehicle is measured by a high-precision sensor or a millimeter-wave radar to obtain the instantaneous speed of the vehicle, and then the ratio of the maximum power to the instantaneous speed is used as the instantaneous tensile force.

[0057] Exemplarily, the maximum power of the towing power supply needs to be dynamically adjusted according to the motor heat load curve: when the ambient temperature exceeds 40°C, derating is performed based on the module junction temperature feedback.

[0058] S204. Obtain the wind direction information of the historical maximum wind speed, and input the wind direction information and the historical maximum wind speed into the pre-constructed 3D computational domain based on the set fluid dynamics model.

[0059] Among them, the projected area of the towing power supply column on the vertical plane in the direction of the wind direction information is the largest.

[0060] In this embodiment, the wind direction information is the direction of the incoming wind, expressed in azimuth angle (0 - 360 degrees) or the 16-point method. When the projected area of the towing power supply column on the vertical plane in the direction of the wind direction information is the largest, that is, when the wind direction information is perpendicular to the plane formed by the two columns. The 3D computational domain can be a continuous or discrete area for numerical simulation in three-dimensional space, composed of boundary conditions and internal fields. In this embodiment, the internal field is the set fluid dynamics model. The size of the 3D computational domain can be a set multiple of the size of the towing power supply column, that is, the length, width, and height are respectively the set multiples of the corresponding length, width, and height of the towing power supply column.

[0061] Exemplarily, the 3D computational domain can adopt a hierarchical nested grid technology: a hexahedral grid with a resolution of 0.5 m is generated around the column in the core area, the transition area is encrypted with tetrahedral grids to 2 m, and a 5 m coarse grid is used in the outer area. The inlet boundary is set with a turbulence intensity profile, and a wind speed profile conforming to the exponential law is generated according to the surface roughness category of the target area (such as category Ⅳ for the coastal area, corresponding to a roughness length of 0.05 m). The transient solution adopts the detached eddy simulation method, and the time step and spatial grid satisfy the stability condition that the Courant number < 1. The set multiple can be 5 times, and a set grid division strategy is adopted in the 3D computational domain.

[0062] Specifically, obtain the pre-constructed 3D computational domain and the wind direction information of the historical maximum wind speed. Among them, the internal field of the 3D computational domain is the set fluid dynamics model and boundary conditions such as the inlet and outlet of the wind are set, and the wind direction information and the historical maximum wind speed are input from the inlet of the 3D computational domain.

[0063] S205. Analyze the information in the 3D computational domain through a solver to obtain the maximum wind load.

[0064] In this embodiment, the solver can be an algorithm tool for solving discrete / continuous and other scenario equations, and can be a solver for computational fluid dynamics. For example, an unsteady detached eddy simulation solver is adopted.

[0065] Specifically, through the 3D computational domain grid of the towing power supply column, use a computational fluid dynamics solver to simulate the flow field distribution under the historical maximum wind speed, combine the set fluid dynamics model and transient analysis technology to accurately capture the extreme values of the surface pressure of the structure. The solver automatically extracts the global pressure data of the 3D computational domain, obtains the wind load distribution of each part through vector integration, and finally outputs the peak wind load under the historical maximum wind speed condition as the maximum wind load.

[0066] Exemplarily, for the flow separation phenomenon around the column, a turbulence model is selected. In the near-wall region, a refined k-ω equation is used to capture the boundary layer characteristics, and in the external flow region, the k-ε model is switched to reduce the computational load. For the porous medium region of the protective net, a porous medium momentum source term correction model is embedded, and the permeability parameter is dynamically adjusted according to the mesh density. A hybrid parallel architecture is adopted, and the 3D computational domain is divided into 100 million-level grid cells, and the solution is completed within 24 hours for a single working condition on a 128-core cluster. Through the optimization of the load balancing algorithm, the computational efficiency is increased by 40%. The time step is set to 0.001 s, meeting the stability condition of Courant number < 1, and the total computational duration covers the dynamic process where the wind speed reaches the peak and is maintained for 30 s. The dynamic adaptive time step technology is introduced, and when the local flow velocity mutation exceeds 20%, the time step is automatically shortened to 0.0005 s to avoid numerical divergence.

[0067] Using this method, the accuracy of wind load calculation is significantly improved, providing data support for the verification of structural reliability.

[0068] S206. According to the self-gravity, instantaneous tensile force, and maximum wind load, solve the deformation index and critical load factor of the traction power column through nonlinear finite element analysis.

[0069] In this embodiment, the deformation index is a parameter representing the degree of deformation of the traction power column under the action of the load. The critical load factor is the minimum load amplification factor at which the traction power column undergoes instability or strength failure. Nonlinear finite element analysis is the core tool for solving nonlinear problems of materials, geometry, or boundary conditions in engineering.

[0070] Exemplarily, nonlinear modeling is performed on the traction power column, and a bilinear kinematic hardening model of the column steel is defined. The elastic modulus and the lower limit of the yield strength are taken as the measured values. The bolt connection adopts the equivalent contact modeling method, and the pre-tightening force is applied according to the torque coefficient method conversion, and the static friction coefficient of 0.15 and the dynamic friction coefficient of 0.12 are set for the contact surface.

[0071] Specifically, through the pre-built traction power column model, the self-gravity, instantaneous tensile force, and historical maximum wind load are coupled, and the contact algorithm is used to simulate the structural response under multiple working conditions. The solver automatically extracts the displacement and stress data of the key nodes to calculate the deformation index and critical load factor.

[0072] Using this method, the material yield and geometric large deformation effects are accurately captured through nonlinear analysis, and the safety margin evaluation error is reduced by more than 50% compared with the traditional linear method.

[0073] S207. Compare the deformation index and critical load factor with the preset reliability index.

[0074] S208. If the deformation index is less than the deformation index threshold in the reliability index and the critical load factor is greater than or equal to the critical load factor threshold in the reliability index, the reliability verification result is that the towing power supply column meets the reliability requirements.

[0075] S209. If the deformation index is greater than or equal to the deformation index threshold or the critical load factor is less than the critical load factor threshold, the reliability verification result is that the towing power supply column does not meet the reliability requirements.

[0076] In this embodiment, the reliability index can be a performance parameter preset for quantifying the continuous satisfaction of functional requirements under specific conditions, including the deformation index threshold and the critical load factor threshold. The deformation index threshold and the critical load factor threshold need to be preset not only according to the material and installation conditions of the towing power supply column, but also by integrating the three dimensions of material properties, environmental load spectrum, and safety redundancy requirements, and can be set according to the actual situation, without specific limitations in this embodiment. The towing power supply column meeting the reliability means that the towing power supply column meets the reliability requirements for installation and operation in the target area. The towing power supply column not meeting the reliability means that the towing power supply column does not meet the reliability requirements for installation and operation in the target area, and the towing power supply column can be redesigned to meet the reliability requirements for installation and operation in the target area.

[0077] Exemplarily, for a Q355B steel column, taking the lower limit of the yield strength of 345 MPa, the deformation index threshold is set to 80% of the material yield strain to ensure that the structure operates in the elastic stage. When the protective net uses 304 stainless steel wire, the critical load factor needs to consider the stress corrosion sensitivity and needs to be reduced by an additional 15% in the coastal high-salt fog environment. In the high-altitude low-pressure area (altitude > 3000 m), due to a 12% decrease in air density, the calculated value of the wind load needs to be increased by 20%. In areas with frequent typhoons, a gust response coefficient is introduced, and the critical load factor needs to meet 1.5 times the basic value to resist the impact of instantaneous wind pressure. For highly sensitive scenarios such as transportation hubs, a safety factor of 0.2 is added to the deformation index threshold, and the critical load factor is increased to 1.2 times the standard value. Redundancy verification requirements: On the basis of meeting the above requirements, add the verification of the extreme condition of "50-year return period wind load + 120% design tension" to ensure no plastic deformation.

[0078] Specifically, compare the deformation index with the deformation index threshold in the preset reliability index, and compare the critical load factor with the critical load factor in the preset reliability index. If the deformation index is less than the deformation index threshold in the reliability index and the critical load factor is greater than or equal to the critical load factor threshold in the reliability index, the reliability verification result is that the towing power supply column meets the reliability requirements. If the deformation index is greater than or equal to the deformation index threshold or the critical load factor is less than the critical load factor threshold, the reliability verification result is that the towing power supply column does not meet the reliability requirements.

[0079] On the basis of the above embodiment, when the deformation index exceeds the standard, local reinforcement is performed: stiffening ribs are added at the connection between the column and the bridge frame to increase the stiffness of the area, and high-strength steel is used for material replacement. When the critical load factor is insufficient, the single column can be changed to a double-limb lattice column or a tuned mass damper can be installed to return to the safe range.

[0080] Based on the above embodiments, Figure 4 A flow chart for determining a deformation index and a critical load factor is provided in the second embodiment of the present disclosure, such as Figure 4 As shown, the embodiment of the present disclosure can be optimized into the following steps based on the self-gravity, instantaneous tension and maximum wind load by solving the deformation index and critical load factor of the traction vehicle power column through nonlinear finite element analysis:

[0081] S2061. Obtain a pre-built tractor power column model.

[0082] Among them, the traction power column model is a model obtained by geometrically modeling the traction power column based on the size and material properties in the basic information. The size here mainly refers to the length, width and height information of the traction power column, which accurately defines the external shape and size of the traction power column. The material properties are information used to quantitatively describe the material properties, covering the elastic coefficient, Poisson's ratio and density of the traction power column. The elastic coefficient reflects the ratio of stress to strain of the material within the elastic range, reflecting the ability of the material to resist elastic deformation; the Poisson's ratio describes the ratio of the absolute value of the lateral normal strain to the axial normal strain when the material is subjected to unidirectional tension or compression, reflecting the lateral deformation characteristics of the material; the density is the mass per unit volume of the material, which is closely related to the weight of the material and the inertia when subjected to force. The traction power column model is pre-constructed according to the size and material properties in the basic information with the help of finite element analysis tools. The finite element analysis tool is a powerful numerical calculation method that discretizes the continuous solution domain into a combination of a finite number of units that are connected to each other in a certain way. In this way, complex practical problems can be converted into relatively simple unit problems for solution. During the modeling process, the size and material properties of the traction power column are input into the finite element analysis tool, and the tool will build an accurate geometric model based on this information to simulate the various mechanical behaviors of the traction power column in actual use.

[0083] Specifically, the traction vehicle power column model is obtained from the model stored in the finite element analysis tool. Finite element analysis tools usually have a dedicated storage space for saving the constructed models. These models may have been verified and optimized for many times. When used, they can be directly called from the storage, avoiding the tedious process of repeated modeling and improving work efficiency.

[0084] S2062. According to the preset grid division strategy, take the full constraint of the fixed support surface as the constraint condition, apply the maximum wind load, self-gravity, and instantaneous tension to the towing power supply column model, and solve it through a non-linear solver to output the deformation index and the critical load factor.

[0085] Among them, the grid division strategy is a division strategy generated based on mixed curvature and an artificial intelligence model.

[0086] In this embodiment, the grid division strategy is the core preprocessing step of numerical simulation. In this embodiment, the adopted division strategy is generated based on mixed curvature and an artificial intelligence model. Mixed curvature is used to describe the curvature combination characteristics of complex surfaces in different directions or scales. In the model of the towing power supply column, there may be various complex geometric shapes on its surface, and mixed curvature can accurately capture the change characteristics of these shapes. The artificial intelligence model drives the adaptive division strategy based on mixed curvature. The artificial intelligence model has powerful learning and adaptive capabilities. It can automatically adjust the grid division method according to the information provided by mixed curvature, making the grid more finely divided in areas with large curvature changes to improve the calculation accuracy; and making the grid relatively sparse in areas with small curvature changes to reduce the calculation amount, thereby improving the calculation efficiency while ensuring the calculation accuracy. Since the towing power supply column is fixed to the ground, the full constraint of the fixed support surface is taken as the constraint condition. This means that in the model, all degrees of freedom of the fixed support surface are restricted and cannot undergo displacement and rotation in any direction, simulating the fixed connection between the towing power supply column and the ground in actual installation.

[0087] Specifically, by using the partitioning strategy generated based on the hybrid curvature and the artificial intelligence model as the preset grid partitioning strategy, full constraints are imposed on the fixed support surface. At the same time, the maximum wind load, self-gravity, and instantaneous tension are applied to the towing power supply column model. The maximum wind load is the maximum wind force that the towing power supply column may encounter during use, which will generate a lateral force on the towing power supply column; self-gravity is the vertical downward force generated by the towing power supply column due to the earth's gravity; the instantaneous tension may be the instantaneous force generated on the towing power supply column under certain special working conditions, such as during vehicle towing. These loads act together on the towing power supply column, forming a multi-condition load. A nonlinear solver is used to solve the towing power supply column model with the applied constraint conditions and loads. The nonlinear solver takes into account material plasticity and geometric large deformation effects. Material plasticity refers to the property of a material to produce irreversible deformation after the applied force exceeds the elastic limit, and the geometric large deformation effect refers to the fact that during the loading process, the geometric shape of an object changes significantly, and this change will in turn affect the stress state of the object. The nonlinear solver can more accurately simulate the mechanical behavior of the towing power supply column under actual loading conditions. After the solution is completed, the deformation index and the critical load factor are output.

[0088] Exemplarily, Figure 5 FIG. is an example diagram for determining the deformation index and the critical load factor through nonlinear finite element analysis provided in the second embodiment of the present disclosure. As Figure 5 shown, the figure shows a nonlinear finite element analysis model of a typical structure under multi-condition composite loads. The specific load types include: applying the maximum wind load, self-gravity, and instantaneous tension as multi-condition loads. The maximum wind load acts on the surface of the structure in the form of dynamic pressure, and a non-uniform distribution is used to simulate the characteristics of the actual wind field, and the direction is perpendicular to the main axis of the structure. Self-gravity is realized by applying a uniformly distributed body force vertically downward, considering the influence of the material density distribution on the overall deformation. The instantaneous tension applies a transient concentrated force at the key connection points of the structure to simulate sudden external loads. The deformed grid shows the geometric nonlinear effect by magnifying the scale. The load arrows mark the direction and magnitude. The wind load is distributed in a streamline shape, and the instantaneous tension is marked with a pulse waveform to indicate the action time interval. Define the stress-strain nonlinear curve. Enable the geometric nonlinear option to consider the update of the stiffness matrix caused by large displacements of the structure. The structure support is set as a fixed constraint, and the contact surface adopts the "hard contact" normal behavior and the Coulomb friction tangential behavior to avoid penetration and simulate the sliding effect. The deformation index and the critical load factor are calculated by quantifying the degree of structural deformation through the maximum equivalent plastic strain or local buckling mode. The deformation index is defined as the ratio of the displacement of the key node to the initial size. If the displacement at the beam end reaches 1 / 50 of the span, it is determined that the structure enters the nonlinear deformation stage. The arc-length method is used to track the load-displacement equilibrium path to identify the buckling critical point.

[0089] Based on the above embodiments,Figure 6 A flow chart for determining the maximum wind load is provided in the second embodiment of the present disclosure; Figure 6 As shown, the embodiment of the present disclosure can determine the maximum wind load corresponding to the traction vehicle power supply column at the historical maximum wind speed according to the basic information and specifically optimize the following steps:

[0090] S301, obtaining the air density of the target area and the drag coefficient of the traction vehicle power column in fluid mechanics.

[0091] In the embodiment, the air density may be the mass of air per unit volume in the target area. The air density varies in different areas, such as 0.736-0.889 kg / m in plateau. 3 , sea level 1.225kg / m 3 The drag coefficient can be the amount of resistance an object encounters when moving in an air fluid. Objects of different shapes have different resistances.

[0092] Specifically, in order to obtain the air density of the target area, the following methods can be used: for example, by using the local meteorological department, meteorological website or related database to obtain the real-time or historical air density data of the area. These data are usually obtained through professional measurement and statistics, and have high accuracy; another example is through field measurement: using professional meteorological measuring instruments, such as air densitometers, to conduct field measurements in the target area. The drag coefficient reflects the resistance of an object when it moves in the air fluid. Objects of different shapes have different air flow conditions around them, and the resistance they encounter will also vary greatly. For the tractor power column, there are two common methods to determine its drag coefficient: one is empirical selection: the tractor power column can generally be approximated as a polyhedron. According to relevant fluid mechanics research and empirical data, a suitable value is selected within the range of the polyhedron's drag coefficient as the drag coefficient of the tractor power column. The second is wind tunnel test: the tractor power column is simulated through a wind tunnel test. In the wind tunnel, different wind speeds and airflow conditions are simulated, the resistance of the tractor power column under these conditions is measured, and then the drag coefficient is calculated according to the relevant formula. Wind tunnel tests can more accurately reflect the stress conditions of the tractor power column in the actual environment, but the test cost is high and requires professional test equipment and technicians.

[0093] S302: Project the traction power column relative to the vertical plane of the historical maximum wind speed in different directions according to the size, and take the largest projection area as the target projection area of the traction power column.

[0094] Specifically, under the action of the historical maximum wind speed in different directions, the projected area of the towing power supply column on its vertical plane will be different. To accurately calculate the wind load, it is necessary to find the projected area with the largest area as the target projected area. To determine the projected area, it is necessary to determine the projected area of the column on the vertical plane in the direction of the maximum historical wind speed in different directions according to the basic information of the towing power supply column, including its shape, size, etc. For a towing power supply column with a relatively complex shape, it may also be necessary to use computer-aided design (CAD) software for accurate calculation. Then compare the calculated projected areas to find the one with the largest area and determine it as the target projected area of the towing power supply column. This target projected area reflects the contact area between the towing power supply column and the wind under the most unfavorable wind direction conditions and plays a key role in the calculation of the wind load.

[0095] S303. Input the air density, drag coefficient, target projected area, and historical maximum wind speed into the wind load calculation formula of fluid mechanics, and use the output wind load as the maximum wind load.

[0096] In this embodiment, the wind load calculation formula of fluid mechanics is:

[0097]

[0098] Among them, F represents the wind load, with the unit of Newton, ρ represents the air density, with the unit of kilogram per cubic meter, v represents the historical maximum wind speed, with the unit of meter per second, Cd represents the drag coefficient, and A represents the target projected area, with the unit of square meter.

[0099] Specifically, substitute the previously obtained air density, drag coefficient, target projected area, and historical maximum wind speed into the above formula for calculation. The output result obtained through calculation is the maximum wind load borne by the towing power supply column.

[0100] Embodiment Three

[0101] Figure 7 This invention embodiment also provides a structural schematic diagram of a reliability verification device for a towing power supply column, as Figure 7 shown. The device includes: an information acquisition module 401, a load determination module 402, and a reliability verification module 403.

[0102] The information acquisition module 401 is used to acquire the basic information of the towing power supply column set in the target area and the historical maximum wind speed of the target area;

[0103] The load determination module 402 is used to determine the instantaneous tension borne by the towing power supply column when the towing power supply is in the working state, and determine the maximum wind load corresponding to the towing power supply column under the historical maximum wind speed according to the basic information;

[0104] The reliability verification module 403 is configured to perform reliability verification on the towing power supply column according to the self - gravity of the towing power supply column, as well as the instantaneous tension and the maximum wind load, so as to obtain a reliability verification result.

[0105] The technical solution provided by the embodiments of the present disclosure realizes the multi - condition coupling analysis of the reliability verification of the towing power supply column by integrating the instantaneous tension generated in the real - time working state and the wind load in extreme climates, and improves the accuracy of the reliability verification result.

[0106] Further, the load determination module 402 can be used to:

[0107] Measure the instantaneous speed of the vehicle when the towing power supply works at the maximum power to tow the vehicle;

[0108] Take the ratio of the maximum power to the instantaneous speed as the instantaneous tension.

[0109] Further, the load determination module 402 can also be used to:

[0110] Obtain the air density of the target area and the drag coefficient of the towing power supply column in fluid mechanics;

[0111] According to the dimensions, project the towing power supply column onto the vertical planes of the historical maximum wind speeds in different directions, and take the largest projected area as the target projected area of the towing power supply column;

[0112] Input the air density, the drag coefficient, the target projected area, and the historical maximum wind speed into the wind load calculation formula of fluid mechanics, and take the output wind load as the maximum wind load.

[0113] Further, the load determination module 402 can also be used to:

[0114] Obtain the wind direction information of the historical maximum wind speed, and input the wind direction information and the historical maximum wind speed into a pre - constructed 3D calculation domain based on a set fluid mechanics model, where the projected area of the towing power supply column on the vertical plane in the direction of the wind direction information is the largest;

[0115] Analyze the information in the 3D calculation domain through a solver to obtain the maximum wind load.

[0116] Further, the reliability verification module 403 can also be used to:

[0117] According to the self - gravity, as well as the instantaneous tension and the maximum wind load, solve the deformation index and the critical load factor of the towing power supply column through non - linear finite element analysis;

[0118] Compare the deformation index and the critical load factor with a preset reliability index;

[0119] Obtain the reliability verification result according to the comparison result.

[0120] Furthermore, the reliability verification module 403 can also be used for:

[0121] Obtain a pre-constructed towing power column model, where the towing power column model is a geometric modeling of the towing power column according to the dimensions and material properties in the basic information, and the material properties include: the elastic coefficient, Poisson's ratio, and density of the towing power column;

[0122] According to a preset mesh division strategy, use the full constraint of the fixed support surface as the constraint condition, apply the maximum wind load, the self-gravity, and the instantaneous tension to the towing power column model, and solve through a non-linear solver to output the deformation index and the critical load factor; where the mesh division strategy is a division strategy generated based on mixed curvature and an artificial intelligence model.

[0123] Furthermore, the reliability verification module 403 can also be used for:

[0124] If the deformation index is less than the deformation index threshold in the reliability index and the critical load factor is greater than or equal to the critical load factor threshold in the reliability index, then the reliability verification result is that the towing power column meets the reliability;

[0125] If the deformation index is greater than or equal to the deformation index threshold or the critical load factor is less than the critical load factor threshold, then the reliability verification result is that the towing power column does not meet the reliability.

[0126] The above device can execute the methods provided in all the foregoing embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the above methods. For the technical details not described in detail in this embodiment, reference can be made to the methods provided in all the foregoing embodiments of the present invention.

[0127] Embodiment 4

[0128] Figure 8The structural schematic diagram of the electronic device 10 which can be used to implement the embodiments of the present invention is given. The electronic device is intended to represent various forms of digital computers, such as, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, personal digital processors, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described herein and / or claimed.

[0129] As Figure 8 shown, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. The memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0130] A plurality of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disc, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0131] The processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include but are not limited to a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the reliability verification method of the traction power column.

[0132] In some embodiments, the reliability verification method of the towing power supply column can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the reliability verification method of the towing power supply column described above can be executed. Alternatively, in other embodiments, the processor 11 can be configured to execute the reliability verification method of the towing power supply column by any other suitable means (e.g., by means of firmware).

[0133] The various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuitry, integrated circuit systems, field-programmable gate arrays (FPGA), application specific integrated circuits (ASIC), application specific standard products (ASSP), systems-on-chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0134] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus, such that when the computer programs are executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0135] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0136] For providing interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0137] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of the communication network include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0138] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0139] It should be understood that various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitations are imposed herein.

[0140] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A reliability verification method for a traction vehicle power column, characterized in that, Including: Obtaining the basic information of the towing power column set in the target area and the historical maximum wind speed of the target area; Determining the instantaneous tension borne by the towing power column when the towing power is in the working state, and determining the maximum wind load corresponding to the towing power column under the historical maximum wind speed according to the basic information; Conducting reliability verification on the towing power column according to the self-gravity of the towing power column, as well as the instantaneous tension and the maximum wind load, to obtain a reliability verification result.

2. The method according to claim 1, wherein The determining the instantaneous tension borne by the towing power column when the towing power is in the working state includes: Measuring the instantaneous speed of the vehicle when the towing power is working to tow the vehicle at the maximum power; Taking the ratio of the maximum power to the instantaneous speed as the instantaneous tension.

3. The method according to claim 1, wherein The determining the maximum wind load corresponding to the towing power column under the historical maximum wind speed according to the basic information includes: Obtaining the air density of the target area and the drag coefficient of the towing power column in fluid mechanics; Projecting the towing power column onto the vertical plane of the historical maximum wind speed in different directions according to the dimensions, and taking the largest projected area as the target projected area of the towing power column; Inputting the air density, the drag coefficient, the target projected area, and the historical maximum wind speed into the wind load calculation formula of fluid mechanics, and taking the output wind load as the maximum wind load.

4. The method according to claim 1, characterized in that The determining the maximum wind load corresponding to the towing power column under the historical maximum wind speed according to the basic information includes: Obtaining the wind direction information of the historical maximum wind speed, and inputting the wind direction information and the historical maximum wind speed into a pre-constructed 3D calculation domain based on a set fluid mechanics model, where the projected area of the towing power column on the vertical plane in the direction of the wind direction information is the largest; Analyzing the information in the 3D calculation domain through a solver to obtain the maximum wind load.

5. The method according to claim 1, wherein The conducting reliability verification on the towing power column according to the self-gravity of the towing power column, as well as the instantaneous tension and the maximum wind load, to obtain a reliability verification result includes: Solving the deformation index and the critical load factor of the towing power column through nonlinear finite element analysis according to the self-gravity, as well as the instantaneous tension and the maximum wind load; Comparing the deformation index and the critical load factor with preset reliability indexes; Obtaining the reliability verification result according to the comparison result.

6. The method according to claim 5, wherein The solving the deformation index and the critical load factor of the towing power column through nonlinear finite element analysis according to the self-gravity, as well as the instantaneous tension and the maximum wind load includes: Obtaining a pre-constructed model of the towing power column, where the model of the towing power column is a geometric modeling model of the towing power column according to the dimensions and material properties in the basic information, and the material properties include: the elastic coefficient, Poisson's ratio, and density of the towing power column; According to the preset grid division strategy, taking the full constraint of the fixed support surface as the constraint condition, applying the maximum wind load, the self-gravity, and the instantaneous tensile force to the trailer power supply column model, and solving through a non-linear solver to output the deformation index and the critical load factor; wherein, the grid division strategy is a division strategy generated based on mixed curvature and an artificial intelligence model.

7. The method according to claim 5, wherein Obtaining the reliability verification result according to the comparison result includes: If the deformation index is less than the deformation index threshold in the reliability index and the critical load factor is greater than or equal to the critical load factor threshold in the reliability index, then the reliability verification result is that the trailer power supply column meets the reliability. If the deformation index is greater than or equal to the deformation index threshold or the critical load factor is less than the critical load factor threshold, then the reliability verification result is that the trailer power supply column does not meet the reliability.

8. A reliability verification device for a traction vehicle power column, characterized in that, Including: An information acquisition module, configured to acquire the basic information of the trailer power supply column arranged in the target area and the historical maximum wind speed of the target area. A load determination module, configured to determine the instantaneous tensile force borne by the trailer power supply column when the trailer power supply is in a working state, and determine the maximum wind load corresponding to the trailer power supply column under the historical maximum wind speed according to the basic information. A reliability verification module, configured to perform reliability verification on the trailer power supply column according to the self-gravity of the trailer power supply column, and the instantaneous tensile force and the maximum wind load, to obtain a reliability verification result.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the reliability verification method of the trailer power supply column according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the processor to implement the reliability verification method of the trailer power supply column according to any one of claims 1-7 when executed.

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