Wire radial temperature-based strand breakage early warning method and device, terminal equipment and storage medium
By using radial temperature simulation calculations and risk assessments of conductors, vulnerable areas and risk levels are identified, solving the problem of difficulty in early warning of conductor strand breakage in existing technologies, and achieving accurate assessment and risk warning of conductor condition.
Patent Information
- Application Number
- CN202511627790.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-07
- Publication Date
- 2026-01-30
AI Technical Summary
Existing conductor condition assessment methods are insufficient for early warning of conductor strand breakage risk, especially in complex environments where potential fatigue damage is difficult to detect.
By acquiring the material parameters, deformation parameters, and ambient temperature of the conductor, the radial temperature distribution of the conductor is simulated and calculated. The target areas and target temperatures that are prone to fatigue fracture are identified. Combined with the strength reduction factor and actual stress, the probability distribution of strand breakage risk is calculated, and an early warning is issued when the risk level is higher than the threshold.
It enables early warning of conductor strand breakage risk, accurately assesses the hidden risks of conductors in their current state, and ensures power grid safety.
Smart Images
Figure CN121435530A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power transmission line maintenance technology, and in particular to a method, device, terminal equipment, and storage medium for early warning of strand breakage based on conductor radial temperature. Background Technology
[0002] Overhead transmission lines, as a crucial component of the power system, bear the critical responsibility of transmitting electricity across regions. Their safe and stable operation directly impacts the reliability of the power grid and the quality of power supply. With the continuous expansion of the power grid and the increasing load, transmission lines are subjected to high loads, complex meteorological environments, and dynamic mechanical loads, facing severe challenges of aging and damage. During operation, overhead transmission lines are frequently subjected to dynamic loads such as wind vibration, galloping, and icing, leading to fatigue damage in the conductors and subsequent strand breakage. Strand breakage not only reduces the conductor's mechanical strength and current-carrying capacity but can also cause serious consequences such as localized overheating and arc burns, even resulting in conductor fracture and widespread power outages, posing a serious threat to power grid safety.
[0003] Existing conductor condition assessment methods mostly rely on regular manual inspections, but these methods can often only detect obvious damage that has already occurred, and it is difficult to provide early warning of conductor strand breakage risk. Summary of the Invention
[0004] This invention provides a method, device, terminal equipment, and storage medium for early warning of strand breakage based on the radial temperature of a conductor. The method can accurately assess the risk of strand breakage in the conductor under the current operating state and achieve early warning of strand breakage risk.
[0005] An embodiment of the present invention provides a method for early warning of strand breakage based on the radial temperature of a conductor, comprising: Obtain the material parameters, deformation parameters, ambient temperature, and wind speed of the conductor; Simulations are performed based on the material parameters, ambient temperature, and wind speed to determine the radial temperature distribution of the conductor. Based on the radial temperature distribution of the conductor, the target area where the conductor is prone to fatigue fracture and the target temperature of the target area are determined. Based on the target temperature and the target area, determine the strength reduction factor of the target area, and based on the material parameters and the deformation parameters, determine the actual stress of the conductor; Calculate the strand breakage risk probability distribution of the conductor based on the actual stress and the strength reduction factor; Based on the probability distribution of the break-off risk, the current break-off risk level of the conductor is determined, and a break-off warning is issued when the break-off risk level is higher than a preset alarm threshold.
[0006] Furthermore, the step of performing simulations based on the material parameters, the ambient temperature, and the wind speed to determine the radial temperature distribution of the conductor, and then determining the target region where the conductor is prone to fatigue fracture and the target temperature of the target region based on the radial temperature distribution, includes: Obtain the operating parameters of the conductor; Based on the material parameters, a simulation model of the conductor is generated; Based on the operating parameters, the ambient temperature, and the wind speed, boundary conditions are set, and based on the boundary conditions, the simulation environment of the simulation model is constructed. Based on the simulation environment and the simulation model, calculate the radial temperature distribution of the conductor; Based on the radial temperature distribution of the conductor, the highest temperature of the conductor is identified and determined as the target temperature, and the region where the highest temperature is located is determined as the target region.
[0007] Furthermore, the material parameters include: the elastic modulus of the conductor; the deformation parameters include: the axial elongation of the conductor; Determining the actual stress of the conductor based on the material parameters and the deformation parameters includes: Calculate the axial strain force of the conductor based on the axial elongation. The actual stress of the conductor is determined based on the elastic modulus and the axial strain.
[0008] Furthermore, calculating the strand breakage risk probability distribution of the conductor based on the actual stress and the strength reduction factor includes: Obtain the probability distribution of the static tensile strength of the conductor; Based on the strength reduction factor, the Monte Carlo method is used to sample the probability distribution of the static tensile strength multiple times to determine several static tensile strengths. The probability distribution of strand breakage risk of the conductor is calculated based on the static tensile strength and the actual stress.
[0009] Furthermore, determining the current breakage risk level of the conductor based on the breakage risk probability distribution, and issuing a breakage warning when the breakage risk level exceeds a preset alarm threshold, includes: Obtain the historical probability distribution of strand breakage risk of the conductor; Based on the historical probability distribution of stock failure risk and the probability distribution of stock failure risk, the trend of stock failure risk is determined; Based on the stock loss risk trend, the current stock loss risk level is determined, and a stock loss warning is issued when the stock loss risk level is higher than a preset alarm threshold.
[0010] An embodiment of the present invention also provides a strand breakage early warning device based on the radial temperature of a conductor, comprising: The data acquisition module is used to acquire the material parameters, deformation parameters, ambient temperature, and wind speed of the conductor. The temperature assessment module is used to perform simulations based on the material parameters, the ambient temperature, and the wind speed to determine the radial temperature distribution of the conductor, and based on the radial temperature distribution of the conductor, to determine the target area where the conductor is prone to fatigue fracture and the target temperature of the target area. The stress analysis module is used to determine the strength reduction factor of the target area based on the target temperature and the target area, and to determine the actual stress of the conductor based on the material parameters and the deformation parameters. The risk assessment module is used to calculate the probability distribution of strand breakage risk of the conductor based on the actual stress and the strength reduction factor; The risk warning module is used to determine the current risk level of the conductor based on the probability distribution of the risk of the conductor breaking, and to issue a risk warning when the risk level of the conductor breaking is higher than a preset alarm threshold.
[0011] Furthermore, the temperature assessment module performs simulations based on the material parameters, the ambient temperature, and the wind speed to determine the radial temperature distribution of the conductor, and based on the radial temperature distribution, determines the target region where the conductor is prone to fatigue fracture and the target temperature of the target region, including: Obtain the operating parameters of the conductor; Based on the material parameters, a simulation model of the conductor is generated; Based on the operating parameters, the ambient temperature, and the wind speed, boundary conditions are set, and based on the boundary conditions, the simulation environment of the simulation model is constructed. Based on the simulation environment and the simulation model, calculate the radial temperature distribution of the conductor; Based on the radial temperature distribution of the conductor, the highest temperature of the conductor is identified and determined as the target temperature, and the region where the highest temperature is located is determined as the target region.
[0012] Furthermore, the material parameters include: the elastic modulus of the conductor; the deformation parameters include: the axial elongation of the conductor; The stress analysis module determines the actual stress of the conductor based on the material parameters and the deformation parameters, including: Calculate the axial strain force of the conductor based on the axial elongation. The actual stress of the conductor is determined based on the elastic modulus and the axial strain.
[0013] This application also provides a terminal device, including: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement a strand breakage early warning method based on the radial temperature of a conductor as described in the above embodiments of the invention.
[0014] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a strand breakage early warning method based on the radial temperature of a conductor as described in the above embodiments of the invention.
[0015] The following benefits can be obtained by implementing the present invention: This invention provides a method, device, terminal equipment, and storage medium for strand breakage early warning based on the radial temperature of a conductor. The method involves simulating the ambient temperature and wind speed of the conductor to determine its radial temperature distribution. Based on this radial temperature distribution, it identifies the target area and target temperature at which the conductor is prone to fatigue fracture. Based on the target temperature and target area, it determines the strength reduction factor for that target area and, based on the material parameters and deformation parameters, determines the actual stress of the conductor. Based on the actual stress and the strength reduction factor, it calculates the strand breakage risk probability distribution of the conductor. Based on this probability distribution, it determines the current strand breakage risk level of the conductor and issues a strand breakage early warning when the risk level exceeds a preset alarm threshold. Because conductors exhibit an internal radial temperature gradient distribution under complex environmental factors, and high temperatures significantly reduce their mechanical strength, this invention uses the radial temperature distribution to determine the target area and target temperature at which fatigue fracture is likely to occur, thereby determining the strength reduction factor after the conductor's strength decreases. This, combined with the conductor's current actual stress, accurately assesses the inherent strand breakage risk of the conductor under its current operating state, achieving early warning of strand breakage risk. Attached Figure Description
[0016] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0017] Figure 1 This is a schematic flowchart of a strand breakage early warning method based on the radial temperature of a conductor provided in a certain embodiment of this application; Figure 2This is a schematic diagram of a strand breakage early warning device based on the radial temperature of a conductor provided in a certain embodiment of this application; Figure 3 This is a schematic diagram of the structure of a terminal device provided in a certain embodiment of this application; Figure 4 These are radial wind speed distribution diagrams and radial temperature distribution diagrams of a conductor provided in a certain embodiment of this application; Figure 5 This is a normal distribution diagram of the static tensile strength of a conductor provided in a certain embodiment of this application. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.
[0020] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.
[0021] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0022] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.
[0023] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).
[0024] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.
[0025] See Figure 1 To address the problems in the prior art, an embodiment of the present invention provides a strand breakage early warning method based on the radial temperature of a conductor, comprising: S1. Obtain the material parameters, deformation parameters, ambient temperature, and wind speed of the conductor; In a preferred embodiment of the present invention, the material parameters include the elastic modulus, total cross-sectional area, conductivity, relative permeability, etc. of various strands (steel wire, aluminum strand, etc.) in the conductor, and the deformation parameters include the axial elongation of various strands in the conductor, the ambient temperature, and the wind speed, which are measured by sensors in the environment where the conductor is located.
[0026] S2. Based on the material parameters, ambient temperature, and wind speed, perform simulation to determine the radial temperature distribution of the conductor, and based on the radial temperature distribution of the conductor, determine the target area where the conductor is prone to fatigue fracture and the target temperature of the target area. Preferably, the step of simulating based on the material parameters, the ambient temperature, and the wind speed to determine the radial temperature distribution of the conductor, and determining the target region where the conductor is prone to fatigue fracture and the target temperature of the target region based on the radial temperature distribution of the conductor, includes: Obtain the operating parameters of the conductor; generate a simulation model of the conductor based on the material parameters; set boundary conditions based on the operating parameters, the ambient temperature, and the wind speed, and construct a simulation environment for the simulation model based on the boundary conditions; calculate the radial temperature distribution of the conductor based on the simulation environment and the simulation model; identify the highest temperature of the conductor based on the radial temperature distribution of the conductor, and determine the highest temperature as the target temperature, and determine the region where the highest temperature is located as the target region.
[0027] In a preferred embodiment of the present invention, the geometric model of the conductor is first created using a sweeping method. Specifically, the strands of each layer of the conductor are modeled using a spiral, and the modeling parameters are as follows: Furthermore, the outer boundary of the circular air domain in the simulation model is set as an infinite element domain boundary condition to simulate the infinitely extending real external environment. The entire conductor is located at the center of the circular air domain. The radius of the circular air domain is taken to be 4 to 5 times the radius of the conductor, which ensures that the temperature of the outer boundary of the circular air domain is consistent with the ambient temperature, i.e., it is not affected by the heat transfer of the fluid around the conductor.
[0028] Furthermore, the material parameters of the conductor are set, as shown in the table below. Due to the skin effect, the current is concentrated in the aluminum layer. Changing the relative permeability of the steel does not affect the current density distribution of the conductor. Therefore, in the finite element model, the relative permeability of the steel is taken as 1000 for calculation. Furthermore, boundary conditions are set. First, current terminals are set. In the electromagnetic field of the finite element model (conductor simulation model), an alternating current is applied to the electromagnetic field according to the voltage level of the operating overhead line and the actual operating conditions. The current excitation boundary is applied to the following conditions: Figure 4 The conductor shown has one end set as a current terminal and the other end set as a ground terminal.
[0029] Heat transfer boundary conditions are set, and since the conductor is directly exposed to the external environment, the effects of thermal radiation and convection on the conductor surface need to be considered. The fluid field of the finite element model adopts the standard k-ε model in the turbulence model, in which the value of ε is taken as 0.2 and k is taken as 20%.
[0030] Turbulent kinetic energy k: ; Where: ρ is the fluid density (kg / m3); k is the turbulent kinetic energy (m2 / s2); t is time (s); uj is the velocity component (m / s); xj is the spatial coordinate (m); μ is the molecular dynamic viscosity; μt is the turbulent viscosity; σk is the Prandtl number; and Pk is the turbulent kinetic energy generation term. Dissipation rate ε: ; Where Cε1 is an empirical constant: controlling the influence of the production term on ε. Cε2 is an empirical constant: controlling the strength of the dissipation term.
[0031] Turbulent viscosity μt: ; The thermal radiation boundary condition can be achieved simply by setting the conductor emissivity ε, which is related to the surface state of the conductor. Thermal radiation follows the Stefan-Boltzmann law, as shown in the following formula: ; In the formula: qrad is the radiative heat flux density (W / m²); ε is the emissivity of the conductor surface; σ is the Stefan-Boltzmann constant; Ts is the conductor surface temperature (°C); Tenv is the ambient radiative temperature (K).
[0032] For ACSR conductors, the radial temperature difference mainly occurs in the aluminum layer. The air gaps inside the steel core only consider the effect of heat conduction, which follows Fourier's law, as shown in the formula: ; In the formula: qcond is the heat flux density (W / m²); k is the thermal conductivity of the material (W / (m·°C)); ∇T is the temperature gradient (°C / m).
[0033] Only the air gaps between the remaining layers and the circular air domain outside the conductor are designated as fluid regions. Convective heat transfer is based on Newton's law of cooling, with the following formula: ; In the formula: qconv is the convective heat flux density (W / m²); h is the convective heat transfer coefficient (W / (m²·°C)); Ts is the surface temperature of the conductor (°C); T∞ is the far-field temperature of the fluid region (air) (°C).
[0034] Furthermore, based on the site conditions, an ambient temperature is set in the temperature field and a wind speed is set in the fluid field. The ambient temperature T is set in the temperature field. ∞ The ambient temperature is constant and acts on the conductor surface through convective heat transfer boundary conditions. The left half of the circular air domain is set as the air inlet, and the right half is set as the air outlet, meaning the air always blows from the left side of the conductor to the right side. The wind speed in the fluid field is set according to the actual site conditions.
[0035] Finally, based on the simulation environment and simulation model, a two-dimensional finite element model of the ACSR conductor based on electromagnetic-thermal-fluid coupling was established. The steady-state radial temperature distribution of the conductor under forced convection was calculated, and the results are as follows: Figure 4The wind speed distribution and radial temperature distribution of the conductor are shown, where, based on Figure 4 (b) shows the simulation results of the radial steady-state temperature distribution of the conductor under forced convection. Based on the temperature distribution, the single conductor most likely to break can be obtained.
[0036] S3. Based on the target temperature and the target area, determine the strength reduction factor of the target area, and based on the material parameters and the deformation parameters, determine the actual stress of the conductor; In a preferred embodiment of the present invention, considering that aluminum strands in the conductor are more prone to breakage at high temperatures, the strength reduction factor of the aluminum strands is mainly analyzed in this embodiment to improve calculation efficiency.
[0037] Calculate the intensity reduction factor of the target region for maintaining a preset time t at the target temperature T based on the following intensity reduction function: ; in, t is the strength reduction factor of aluminum stock in the target area, T is the target temperature, and t is the preset time.
[0038] Preferably, the material parameters include: the elastic modulus of the conductor; the deformation parameters include: the axial elongation of the conductor; Determining the actual stress of the conductor based on the material parameters and the deformation parameters includes: calculating the axial strain force of the conductor based on the axial elongation; and determining the actual stress of the conductor based on the elastic modulus and the axial strain force.
[0039] In a preferred embodiment of the present invention, the axial strain force of the conductor is calculated using the following formula: ; in, This represents the axial elongation of the conductor. This represents the initial length of the conductor.
[0040] According to Hooke's Law in mechanics of materials, for a rod of uniform cross-section made of a single material, the axial strain is directly proportional to the axial stress under axial external force. Therefore: ; in , These are the axial stresses of aluminum and steel, respectively; , The axial strains are for aluminum and steel, respectively. , These are the elastic moduli of aluminum and steel, respectively.
[0041] Because the axial strain of the aluminum and steel strands in the conductor is the same under the action of external force, meaning the conductor can only undergo a uniform deformation, therefore ,therefore: ; Perform a stress analysis on the conductor. ; in, , , These represent the tension experienced by aluminum, steel, and wire, respectively.
[0042] Based on the stress distribution pattern between the steel wires and aluminum strands in steel-cored aluminum stranded wire, the actual stress of the aluminum strands in the conductor is: ; In the formula, M is the tension in the conductor; E Steel E Al These are the elastic moduli of steel wire and aluminum strand, respectively; A Steel A Al These represent the total cross-sectional areas of the steel wire and aluminum strands of the conductor, respectively; A is the total cross-sectional area of the conductor.
[0043] S4. Calculate the strand breakage risk probability distribution of the conductor based on the actual stress and the strength reduction factor; Preferably, calculating the strand breakage risk probability distribution of the conductor based on the actual stress and the strength reduction factor includes: Obtain the probability distribution of the static tensile strength of the conductor; based on the strength reduction factor, use the Monte Carlo method to sample the probability distribution of the static tensile strength multiple times to determine several static tensile strengths; calculate the probability distribution of strand breakage risk of the conductor based on the static tensile strength and the actual stress.
[0044] In a preferred embodiment of the present invention, based on actual application conditions, it is assumed that the strength (static tensile strength) of the overhead conductor σ b The static tensile strength of overhead conductors follows a normal distribution with a mean of μ and a standard deviation of σ. The mean μ and standard deviation σ of the static tensile strength of overhead conductors can be obtained from the product's test report, and their distribution is shown in the figure below. Figure 5 As shown.
[0045] Furthermore, Monte Carlo sampling is applied to extract the static tensile strength σ. b Substitute the values into the risk assessment model for calculation, and repeatedly input multiple sets of randomly selected static tensile strengths to obtain the probability distribution of the risk of stock breakage.
[0046] Specifically, the risk assessment model is based on the probability that, under fatigue load, the reliability of the overhead line structure is such that the current ultimate strength of the aluminum strands exceeds the current load amplitude, ensuring that personnel are informed of the danger immediately. The mathematical probability model is as follows: ; Where Z represents the extreme state of the remaining aluminum stock. σ is the strength reduction factor for aluminum stocks in the target area. b This represents the static tensile strength of the sample. This represents the actual stress of the aluminum stock.
[0047] S5. Based on the probability distribution of the breakage risk, determine the current breakage risk level of the conductor, and issue a breakage warning when the breakage risk level is higher than the preset alarm threshold.
[0048] Preferably, the step of determining the current breakage risk level of the conductor based on the breakage risk probability distribution, and issuing a breakage warning when the breakage risk level is higher than a preset alarm threshold, includes: Obtain the historical probability distribution of strand breakage risk of the conductor; determine the strand breakage risk trend based on the historical probability distribution of strand breakage risk and the current strand breakage risk level based on the current strand breakage risk trend, and issue a strand breakage warning when the strand breakage risk level is higher than a preset alarm threshold.
[0049] In a preferred embodiment of the present invention, long-term recording of stock failure risk changes data forms a stock failure risk trend, and the current stock failure risk level is determined, thereby setting the stock failure risk level. When the risk level exceeds a threshold, the system automatically triggers an alarm mechanism to ensure that personnel conduct timely maintenance. It is understood that when the stock failure risk trend shows a significant upward trend, the current stock failure risk level can be determined as high risk; when the fluctuation range of the stock failure risk trend is less than a preset threshold, the current stock failure risk level can be determined as medium risk; and when the fluctuation range of the stock failure risk trend is stable, the current stock failure risk level can be determined as low risk. In this example, a preset alarm threshold is set to medium risk to ensure that personnel conduct targeted maintenance in advance.
[0050] See Figure 2 This invention provides a strand breakage early warning device based on the radial temperature of a conductor, comprising: The data acquisition module is used to acquire the material parameters, deformation parameters, ambient temperature, and wind speed of the conductor. The temperature assessment module is used to perform simulations based on the material parameters, the ambient temperature, and the wind speed to determine the radial temperature distribution of the conductor, and based on the radial temperature distribution of the conductor, to determine the target area where the conductor is prone to fatigue fracture and the target temperature of the target area. The stress analysis module is used to determine the strength reduction factor of the target area based on the target temperature and the target area, and to determine the actual stress of the conductor based on the material parameters and the deformation parameters. The risk assessment module is used to calculate the probability distribution of strand breakage risk of the conductor based on the actual stress and the strength reduction factor; The risk warning module is used to determine the current risk level of the conductor based on the probability distribution of the risk of the conductor breaking, and to issue a risk warning when the risk level of the conductor breaking is higher than a preset alarm threshold.
[0051] Preferably, the temperature assessment module performs simulations based on the material parameters, the ambient temperature, and the wind speed to determine the radial temperature distribution of the conductor, and based on the radial temperature distribution, determines the target area where the conductor is prone to fatigue fracture and the target temperature of the target area, including: Obtain the operating parameters of the conductor; Based on the material parameters, a simulation model of the conductor is generated; Based on the operating parameters, the ambient temperature, and the wind speed, boundary conditions are set, and based on the boundary conditions, the simulation environment of the simulation model is constructed. Based on the simulation environment and the simulation model, calculate the radial temperature distribution of the conductor; Based on the radial temperature distribution of the conductor, the highest temperature of the conductor is identified and determined as the target temperature, and the region where the highest temperature is located is determined as the target region.
[0052] Preferably, the material parameters include: the elastic modulus of the conductor; the deformation parameters include: the axial elongation of the conductor; The stress analysis module determines the actual stress of the conductor based on the material parameters and the deformation parameters, including: Calculate the axial strain force of the conductor based on the axial elongation. The actual stress of the conductor is determined based on the elastic modulus and the axial strain.
[0053] It is understood that the above-described device embodiments correspond to the method embodiments of the present invention, and can realize the strand breakage early warning method based on the radial temperature of a conductor provided by any of the above-described method embodiments of the present invention.
[0054] It should be noted that the device embodiments described above are merely illustrative, and some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can specifically be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.
[0055] See Figure 3 One embodiment of this application also provides a terminal device, including: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement a strand breakage early warning method based on the radial temperature of a conductor as described above.
[0056] The processor controls the overall operation of the terminal device to complete all or part of the steps of the aforementioned method for early warning of broken strands based on the radial temperature of a conductor. The memory stores various types of data to support the operation of the terminal device. This data may include, for example, instructions for any application or method operating on the terminal device, as well as application-related data. The memory can be implemented using any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.
[0057] In an exemplary embodiment, the terminal device may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform a strand breakage early warning method based on the radial temperature of a conductor as described in any of the foregoing embodiments, and to achieve the same technical effect as the methods described above.
[0058] In another exemplary embodiment, a computer-readable storage medium including a computer program is also provided. When executed by a processor, the computer program implements the steps of a strand breakage early warning method based on the radial temperature of a conductor as described in any of the foregoing embodiments. For example, the computer-readable storage medium may be the aforementioned memory including the computer program, which may be executed by a processor of a terminal device to complete the strand breakage early warning method based on the radial temperature of a conductor as described in any of the foregoing embodiments, and achieve the same technical effects as the aforementioned method.
[0059] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.
Claims
1. A broken strand early warning method based on wire radial temperature, characterized in that, The method comprises the following steps: obtaining material parameters, deformation parameters, ambient temperature and wind speed of the conductor; conducting simulation according to the material parameters, the ambient temperature and the wind speed, determining a radial temperature distribution of the conductor, and determining a target region prone to fatigue fracture of the conductor and a target temperature of the target region according to the radial temperature distribution of the conductor; determining a strength reduction coefficient of the target region according to the target temperature and the target region, and determining an actual stress of the conductor according to the material parameters and the deformation parameters; calculating a strand breakage risk probability distribution of the conductor according to the actual stress and the strength reduction coefficient; determining a current strand breakage risk level of the conductor according to the strand breakage risk probability distribution, and issuing a strand breakage warning when the strand breakage risk level is higher than a preset warning threshold.
2. The method of claim 1, wherein the step of determining the temperature of the wire is performed by a temperature sensor. The simulation according to the material parameters, the ambient temperature and the wind speed, the determination of the radial temperature distribution of the conductor, and the determination of the target region prone to fatigue fracture of the conductor and the target temperature of the target region comprise the following steps: obtaining operating parameters of the conductor; generating a simulation model of the conductor according to the material parameters; setting boundary conditions according to the operating parameters, the ambient temperature and the wind speed, and constructing a simulation environment of the simulation model according to the boundary conditions; calculating a radial temperature distribution of the conductor according to the simulation environment and the simulation model; identifying the highest temperature of the conductor according to the radial temperature distribution of the conductor, determining the highest temperature as the target temperature, and determining the region where the highest temperature is located as the target region.
3. A method for early warning of broken strands based on the radial temperature of the wires as claimed in claim 2, characterized in that, The material parameters comprise the elastic modulus of the conductor, and the deformation parameters comprise the axial elongation of the conductor; The determination of the actual stress of the conductor according to the material parameters and the deformation parameters comprises the following steps: calculating the axial strain force of the conductor according to the axial elongation; determining the actual stress of the conductor according to the elastic modulus and the axial strain force.
4. The method of claim 3, wherein the step of determining the temperature of the wire is performed by a temperature sensor. The calculation of the strand breakage risk probability distribution of the conductor according to the actual stress and the strength reduction coefficient comprises the following steps: obtaining a static tensile strength probability distribution of the conductor; determining a plurality of static tensile strengths by sampling the static tensile strength probability distribution a plurality of times according to the strength reduction coefficient by using the Monte Carlo method; calculating the strand breakage risk probability distribution of the conductor according to the static tensile strengths and the actual stress.
5. A method for early warning of broken strands based on the radial temperature of the wires as claimed in claim 4, characterized in that, The determination of the current strand breakage risk level of the conductor according to the strand breakage risk probability distribution, and the issuance of the strand breakage warning when the strand breakage risk level is higher than the preset warning threshold, comprise the following steps: obtaining a historical strand breakage risk probability distribution of the conductor; determining a strand breakage risk trend according to the historical strand breakage risk probability distribution and the strand breakage risk probability distribution; determining the current strand breakage risk level according to the strand breakage risk trend, and issuing the strand breakage warning when the strand breakage risk level is higher than the preset warning threshold.
6. A strand breakage early warning device based on wire radial temperature, characterized by, The method comprises the following steps: a data acquisition module is configured to obtain material parameters, deformation parameters, ambient temperature and wind speed of the conductor; The temperature evaluation module is configured to simulate according to the material parameter, the ambient temperature and the wind speed, determine a radial temperature distribution of the conductor, and determine a target area prone to fatigue fracture of the conductor and a target temperature of the target area according to the radial temperature distribution of the conductor. The stress analysis module is configured to determine a strength reduction coefficient of the target area according to the target temperature and the target area, and determine an actual stress of the conductor according to the material parameter and the deformation parameter. The risk evaluation module is configured to calculate a strand breakage risk probability distribution of the conductor according to the actual stress and the strength reduction coefficient. The risk warning module is configured to determine a strand breakage risk level of the conductor according to the strand breakage risk probability distribution, and issue a strand breakage warning when the strand breakage risk level is higher than a preset warning threshold.
7. A strand breakage early warning device based on wire radial temperature as claimed in claim 6, wherein, The temperature evaluation module is configured to simulate according to the material parameter, the ambient temperature and the wind speed, determine a radial temperature distribution of the conductor, and determine a target area prone to fatigue fracture of the conductor and a target temperature of the target area according to the radial temperature distribution of the conductor, including: obtaining an operating parameter of the conductor; generating a simulation model of the conductor according to the material parameter; setting boundary conditions according to the operating parameter, the ambient temperature and the wind speed, and constructing a simulation environment of the simulation model according to the boundary conditions; calculating a radial temperature distribution of the conductor according to the simulation environment and the simulation model; identifying a highest temperature of the conductor according to the radial temperature distribution of the conductor, determining the highest temperature as a target temperature, and determining a region where the highest temperature is located as a target area.
8. A strand breakage early warning device based on wire radial temperature as claimed in claim 7, wherein, The material parameter includes an elastic modulus of the conductor, and the deformation parameter includes an axial elongation of the conductor. The stress analysis module is configured to determine the actual stress of the conductor according to the material parameter and the deformation parameter, including: calculating an axial strain force of the conductor according to the axial elongation; determining the actual stress of the conductor according to the elastic modulus and the axial strain force.
9. A terminal device, comprising: including: one or more processors; a memory coupled to the processors therefor storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement a strand breakage warning method based on a radial temperature of a conductor according to any one of claims 1-6.
10. A storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to implement a strand breakage warning method based on a radial temperature of a conductor according to any one of claims 1-6.