31 results about "Conduction equation" patented technology

The application relates to the technical field of polymer material processing and molding, and discloses a temperature gradient control method for melting and plasticizing of food packaging PET bottle blanks. The method aims to solve the problems of static temperature control, poor melt homogeneity and weak process adaptability in the traditional plasticizing process. The method comprises the following steps: constructing an axial partition temperature setting model, dividing a solid conveying section, a melting transition section and a melt homogenization section and setting a reference temperature interval; deploying a distributed temperature sensing array to collect temperatures at key positions in real time; establishing a melt thermal state prediction model based on a non-Newtonian fluid heat conduction equation; dynamically regulating and controlling heating and cooling through a PID compound algorithm to realize closed-loop control of axial gradient and radial uniformity; and combining a process database to perform adaptive parameter correction. The application can significantly improve temperature control precision and melt homogeneity, enhance adaptability to raw material changes and high-speed production, effectively reduce bottle blank internal stress, wall thickness deviation and acetaldehyde content, and guarantee product quality and food safety.

The application relates to a multi-field coupling method for a spot welding process of a key part of rail transit, and the method establishes an electric-thermal field control equation, an electromagnetic field control equation and a heat flow field control equation for a resistance spot welding process, wherein the electric-thermal field control equation comprises a potential balance equation and a heat conduction equation. The application realizes the collaborative calculation and cross-model data transmission of key physical quantities such as current density, electromagnetic force, Joule heat and temperature distribution between different energy fields by constructing a multi-physical field coupling model of an electric field, an electromagnetic field and a temperature field, and improves the integrity and consistency of the simulation of the resistance spot welding process.

This invention provides a computational method, system, and computer equipment for fluid-structure interaction heat transfer. Addressing the problem of extremely slow convergence in the later stages of long-tail iterations in existing weakly coupled algorithms, this invention proposes a two-stage decoupling acceleration strategy. The first stage employs a fluid-solid weakly coupled algorithm with an early truncation mechanism: when the global temperature rise has not yet converged, but the convective heat transfer coefficient at the interface reaches a stable convergence state first, the bidirectional fluid-solid iteration is stopped, and the current convective heat transfer coefficient is extracted. The second stage applies this convective heat transfer coefficient as a separate thermal boundary condition to the solid computational domain, stopping the flow field equation calculation and rapidly solving the solid's heat conduction equation in a unidirectional decoupled state until a complete steady state is reached. This invention cleverly utilizes the spatiotemporal differences in the convergence speed of characteristic physical quantities, eliminating redundant iterations without sacrificing engineering accuracy and significantly improving the solution efficiency of heat transfer simulation.

This application provides a method and system for early warning of overheating hazards in electrical equipment based on UAV multispectral imaging, belonging to the field of power equipment condition monitoring technology. This application first acquires ultraviolet photon and spatial point cloud data collected by a UAV. A three-dimensional model is constructed based on the point cloud, and electric field distribution information is obtained through finite element analysis. Combining photon data and electric field information, the discharge charge quantity and distribution are obtained through spatial inversion correction. Then, the discharge current density is calculated using an energy dissipation model, and the discharge heat power loss density is determined by combining the local electric field. Finally, the steady-state heat conduction equation is solved based on heat conduction parameters to calculate the temperature field distribution under thermal equilibrium. When the steady-state temperature exceeds the heat resistance threshold, an early warning message is generated. This application achieves early and accurate prediction and location of hidden overheating faults in electrical equipment caused by insulation degradation.

This invention provides a method, device, electronic device, and storage medium for continuous casting and rolling temperature monitoring. The method includes determining the current values ​​of multiple first monitoring parameters and multiple second monitoring parameters based on the current temperature distribution and multiple preset mapping relationships. Each first monitoring parameter includes a two-phase composition ratio, and each second monitoring parameter includes a weighted specific heat capacity determined based on the two-phase composition ratio. The two-phase composition ratio is determined based on the current temperature distribution, the length of the temperature range for the austenite-ferrite phase transformation, and the average temperature of the temperature range. Based on the current temperature distribution, the current value of the weighted enthalpy, the current values ​​of each second monitoring parameter, and a preset finite difference heat conduction equation, the estimated enthalpy for the next moment is determined. The current value of the two-phase composition ratio is used as the estimated ratio value for the next moment, and the estimated temperature value for the next moment is determined based on the estimated enthalpy for the next moment. This invention introduces the thermodynamic effects of the austenite-ferrite phase transformation to improve the accuracy of temperature monitoring.

The application relates to the technical field of lithium batteries, in particular to a lithium battery critical hot spot temperature evaluation method and product based on a dimensionless model. The method comprises the following steps: constructing a dimensionless heat conduction model based on a heat conduction equation established according to a lithium battery internal hot spot; obtaining preset parameter items and a hot spot size range of the heat conduction model; substituting the preset parameter items of the heat conduction model into the dimensionless heat conduction model to obtain a hot spot size evaluation model; and determining a critical temperature evaluation result according to the hot spot size evaluation model and the hot spot size range. The application embodiment can provide a quantitative relationship between a critical hot spot temperature and a hot spot size, and the application can be widely applied to the design, research and development and production process of lithium batteries.

The application discloses a battery pack temperature detection method and device. According to the heat generation of the battery pack, the initial temperature at the current moment and the boundary condition of the module in the charging and discharging process of the battery cell, a three-dimensional transient heat conduction equation capable of reflecting the temperature change of the battery cell with time and the temperature distribution in the three-dimensional coordinate direction is constructed, and the model and the boundary condition of the battery cell are simplified to accelerate the temperature solution. The equation is solved to obtain the solution temperature of the battery cell at the current moment. The temperature is taken as the initial temperature to detect the battery cell temperature at the next moment. The application only relies on a small amount of NTC and ambient temperature point real-time data, and can realize real-time prediction of the global temperature of all battery cells in the battery pack, reduces the number of sensors arranged for monitoring the battery cell temperature, reduces the cost of the battery pack and simplifies the operation.

This invention discloses a miniaturized packaging design method for optical modules based on integrated layout and intelligent thermal management, relating to the field of optical module packaging data processing technology. This method extracts historical packaging features and uses weighted cosine similarity to calculate the matching degree between real-time requirements and historical solutions, triggering hot-start reuse or cold-start generation. Under cold-start, the thermal coupling relationship of components is mapped to a graph attention neural network, and a multi-objective particle swarm optimization algorithm is introduced. Using the three-dimensional Poisson heat conduction equation as physical constraints, it performs dual iterative optimization on the global maximum junction temperature and packaging volume, outputting a real-time optimal parameter set including non-uniform heat dissipation via density and gradient thermal conductive material coating thickness. This parameter set is then converted into physical execution instructions for a laser drilling machine, an automatic dispensing machine, and a chip mounter. This invention achieves intelligent collaboration between macroscopic layout and microscopic processes, reducing the junction temperature of the optical module and shortening the development cycle.

The application relates to the technical field of intelligent power management, and particularly discloses an efficient energy transmission control method for a gallium nitride power module, which comprises the following steps: analyzing a temperature difference effective value exceeding a preset gradient threshold value through a classification algorithm to obtain a position coordinate of an overheating point; processing temperature data of the overheating point and adjacent collection points by using a discretized heat conduction equation to obtain a heat diffusion trend vector; evaluating a temperature rise risk score of the overheating point according to the heat diffusion trend vector, obtaining the overheating point according to the temperature rise risk score, and taking the overheating point and the adjacent collection points as a high-risk area; and re-distributing the power of all chips in the power module with the purpose of reducing the power of gallium nitride chips in the high-risk area. The efficient energy transmission control method for the gallium nitride power module solves the problem that current power modules are difficult to prevent device failure caused by local overheating according to the characteristics of gallium nitride chips.

The present application relates to the technical field of rail transit contact rail state monitoring and fault early warning, and particularly relates to a contact rail temperature rise infrared online monitoring method and system, which comprises the following steps: firstly, mapping pixels to mileage and collecting multi-band long-wave infrared data, synchronously obtaining traction working conditions and applying phase-locked thermal excitation to generate infrared observation data in the mileage domain; then, correcting system response, calibrating radiation, and implementing phase-sensitive demodulation, and inversely obtaining an absolute temperature field according to a multi-band radiation transmission model; further inversely obtaining an equivalent line heat source according to a heat conduction equation, constructing an expected temperature rise baseline, and generating an alarm object containing a position interval and intensity by combining a generalized likelihood ratio with spatial continuity; finally, returning phase-locked and imaging parameters according to sensitivity and Fisher information. The present application realizes quantitative, locatable, low false alarm temperature rise early warning and adaptive observation.

This invention relates to the field of radio frequency (RF) product simulation and analysis technology, and provides a method, apparatus, device, and medium for RF microsystem model simulation based on material mapping. The method includes: discretizing the RF microsystem model into grid cells and calculating the metal area ratio of each grid cell; adjusting the physical property weights of the metal and non-metal regions of the RF microsystem model by setting a penalty factor through a solid isotropic material penalty model based on the metal area ratio, and calculating equivalent material properties to complete the material mapping of the RF microsystem model; coupling the metal area ratio and penalty factor with the heat conduction equation, and performing thermo-mechanical coupling simulation on the material-mapped RF microsystem model based on the coupled heat conduction equation. This invention not only supports highly integrated RF microsystems but also supports the thermo-mechanical coupling simulation problems of future multi-level, miniaturized, and multifunctional RF products.

The application provides a numerical method for transient thermal simulation of a core particle integrated system, and the method comprises the following steps: according to the function and structural characteristics of the core particle integrated system, the whole system is divided into several modules; the time-domain heat conduction control equation in each module is converted to the Laguerre domain; the heat transfer characteristics of each module are extracted based on the Laguerre domain heat conduction equation, and the corresponding Laguerre macro model is established; the Laguerre macro model is used as an equivalent boundary condition, and the finite volume method is used to solve the transient thermal response of each module in the order stepping mode. Under the premise of ensuring the calculation accuracy, the Laguerre macro model simultaneously reduces the calculation complexity of the spatial domain and the time domain, significantly improves the simulation efficiency, and reduces the consumption of calculation resources.

A numerical prediction method for heat transfer fire (CHF) based on dry spot-dry spot dynamics and conjugate heat conduction includes the following steps: S1: Establishing a functional relationship model between wall superheat and bubble dynamic parameters through regression analysis of experimental data, i.e., the bubble dynamic parameter model; S2: Establishing a dry spot-dry spot dynamic model based on the bubble dynamic parameter model; S3: Establishing a heat transfer boundary condition model based on the distribution characteristics of dry spots-dry spots on the wall and their corresponding thermal resistance characteristics; S4: Simulating the dry spot-dry spot dynamic model established in step 2 using particle dynamics; S5: Constructing a three-dimensional conjugate heat conduction equation, coupling it with the dynamically updated heat transfer boundary condition model established in S3, obtaining the wall temperature and heat flux distribution through numerical solution, and feeding the results back to the bubble dynamic parameter model established in S3; S6: Visualizing the wall temperature and heat flux distribution in S5. This application improves the physical interpretability and reliability of the simulation results.

This invention provides a method for processing and extracting features from 3D point cloud data for quality inspection, belonging to the field of 3D point cloud technology. The invention utilizes a spatial registration estimation model to extract global geometric feature descriptors and calculates an initial transformation matrix to complete coarse registration. The coarsely registered point cloud undergoes smoothing and denoising based on the heat conduction equation. Parallel processing using a three-layer sub-thread mesh of the GPU's CUDA stream is then initiated to complete fine registration using an improved point-to-surface iterative nearest-point algorithm, resulting in a fused point cloud. Adaptive multi-scale neighborhood feature extraction is performed on the fused point cloud to obtain a feature parameter set. Curvature deviation values ​​are compared with preset curvature standard values ​​to determine surface defects and adjust subsequent scan density parameters. Localized refined scanning is performed on defective areas, and the feature parameter set is updated by merging and registering with the fused point cloud. This invention solves the technical problem of balancing registration accuracy and computational efficiency in multi-source point cloud data.

The present application relates to the technical field of composite lightning damage assessment and intelligent prediction, aiming at the problems of long test evaluation period, high cost, poor generalization ability under small sample condition and lack of physical consistency of traditional test, a lightning damage residual strength prediction method for carbon fiber composite material based on physical information neural network is disclosed. The method firstly acquires multi-source data after lightning and extracts cross-scale characteristic parameters; a physical information neural network model is constructed, and the non-steady heat conduction equation, the current continuity equation and the residual strength degradation constraint are explicitly introduced into the loss function as physical constraint terms; a phased training strategy driven by test and multi-physical field simulation data is adopted to obtain the lightning damage residual strength prediction model, and finally the residual strength ratio is output and the damage grade is divided. The present application significantly improves the precision and generalization ability of residual strength prediction under small sample condition, and has the advantages of strong physical interpretability and convenient engineering implementation.

The application provides a kind of heat-assisted pair wheel spinning temperature control method based on deep reinforcement learning, belongs to the technical field of temperature control, the present application reconstructs the full-field temperature distribution of blank by fusing infrared array sparse measuring point and heat conduction equation residual through physical information neural network;With the realization of thermal response lag compensation by combining the principle of Smith predictor with the condition variation cycle strategy model of thermal-mechanical dual modal fusion;With the joint training of multi-flame gun strategy network in the framework of centralized training and decentralized execution, the coupled thermal field of multiple guns is optimized collaboratively;With Lyapunov guide safety exploration algorithm to perform gradient projection on each power regulation action, ensure that the system state is continuously in the thermodynamic safety domain;With the isomorphism migration strategy alignment algorithm to match similar working conditions from the historical working condition library and generate target working condition strategy initialization parameters;Solved the technical problem that the coupled thermal field of multiple flame guns is difficult to achieve precise closed-loop temperature control in the process of heat-assisted pair wheel spinning under dynamic spinning conditions.

This invention relates to the field of battery cell technology and discloses a battery cell simulation analysis method, apparatus, storage medium, and electronic device. The method includes: constructing a three-dimensional geometric model of the battery cell; dividing the computational domain of the three-dimensional geometric model into an FDM region and an FEM region; configuring solid / liquid phase charge conservation equations, heat conduction equations, and lithium-ion diffusion equations for the FDM region; configuring interfacial electrochemical reaction kinetic equations and side reaction equations for the FEM region; meshing the three-dimensional geometric model of the battery cell; setting initial states and charging boundary conditions; iteratively coupling and solving the FDM and FEM regions; and outputting the simulation analysis results. By applying the technical solution of this invention, through the synergistic coupling of the finite difference method and the finite element method, it is possible to accurately simulate the dynamic coupling behavior of multiple physical fields (electricity, heat, and chemistry) inside the battery during ultra-fast charging, and accurately identify lithium plating risk areas and local heat accumulation points.

The present application relates to the technical field of power transmission line engineering and geotechnical engineering, and discloses a method, system, device and medium for calculating the stress of a tower slope under lightning impact, which collects lightning current waveform data of the tower under lightning impact, calculates the power density of Joule heat source, and establishes a three-dimensional slope geometric model corresponding to the influence range of lightning impact on the slope soil body; the power density of the Joule heat source is input into the three-dimensional transient heat conduction equation, and combined with the established geometric model, the maximum temperature rise value of the slope soil body under lightning impact is determined, so as to convert the temperature change into soil stress and obtain the initial lightning impact stress value; the correction coefficient is determined by the lightning current waveform data and multi-dimensional influence data to correct the initial lightning impact stress value, and the transient stress value of the tower slope under lightning impact is obtained; the present application fully considers the coupling of electric-thermal-mechanical multi-physical fields and the microsecond-level transient effect, and greatly improves the calculation accuracy of the transient stress of the tower slope under lightning impact.

A kind of RRAM device simulation method based on vectorization trap auxiliary tunneling current calculation relates to integrated circuit device simulation technical field.Initial device structure parameter, three-dimensional grid and defect distribution state;Establish and solve three-dimensional Poisson equation, obtain spatial potential and electric field distribution;Coupling solution three-dimensional heat conduction equation, update non-uniform temperature field distribution;First, identify all trap sites, extract its three-dimensional coordinates;Calculate anisotropic ohmic conductance component, obtain device real-time total current;Update three-dimensional grid physical state and micro-particle space distribution;Using KMC roulette gambling algorithm, according to the calculated cumulative rate distribution, randomly select an event to execute;According to the selected event type, update the corresponding state matrix;Self-adaptive time step advances and judges whether it meets resistance change cycle termination condition.The present application has greatly improved computing efficiency, very low additional memory overhead, numerical result is strictly equivalent, can be directly embedded in existing RRAM KMC simulation framework.

The application discloses an industrial electric furnace operation parameter intelligent optimization method and system based on energy consumption modeling, and relates to the technical field of industrial electric furnace operation control. The industrial electric furnace operation parameter intelligent optimization method based on energy consumption modeling obtains geometric position data of a workpiece after charging through non-contact scanning, and constructs a radiation heat exchange space relationship by matching the geometric position data with fixed coordinates of heating elements and furnace wall linings. A Monte Carlo method is used to solve an angular coefficient distribution matrix of two radiation heat exchange paths for discrete surface units, and the matrix is modified by weighting and correcting the difference between emissivity and reflectivity. The matrix is used as a radiation boundary condition of a heat conduction equation, and a sample entropy constraint multivariate nonlinear regression is established to build an energy consumption representation model of an output heat storage state. The application obtains the geometric position of the workpiece through scanning, constructs a radiation heat exchange space relationship, solves an angular coefficient matrix to quantify the efficiency difference of the heat transfer path, builds an energy consumption model of the output heat storage state, and embeds the model into a predictive control framework. The power optimization strategy is solved under multiple constraints, and closed-loop regulation and control are performed.

The application discloses a well transient electromagnetic multi-source noise coupling decomposition and quantification method based on multi-physical mechanism disturbance, which comprises the following steps: firstly, solving the well transient electromagnetic response signal under the undisturbed reference working condition; then, applying high-frequency pose vibration disturbance to the transmitting coil by using an adaptive dynamic grid, applying a layered temperature field in the surrounding rock stratum based on the heat conduction equation, coupling the temperature mapping and the electromagnetic diffusion equation, and superimposing an equivalent small loop alternating current coil as a narrowband harmonic additional source term to generate a noisy response signal; extracting a single-source noise component, a combined noise component and a multi-source mixed interaction component, and constructing noise intensity, energy proportion and time-varying non-stationarity indexes for the single-source noise component and the combined noise component, so as to express the multi-source noise as a decomposable, traceable and mapable data structure, and form a structured noise sample library. The application can be used for well transient electromagnetic noise mechanism research, noise removal or reconstruction algorithm evaluation and data set construction.

The application relates to the field of wind driven generator manufacturing, and discloses a wind driven generator radiator numerical control machining control method and a control system. The method comprises the following steps: collecting temperature field, stress field and vibration field data in a machining process in real time through a multi-modal sensor, combining a heat conduction equation, an elastic mechanics equation and a vibration equation to establish a multi-physical field coupling model, and realizing real-time calculation and prediction of dynamic errors; according to a prediction result, adopting a dynamic compensation method, adjusting a feeding speed, a main shaft rotating speed and a tool path to optimize machining parameters; after machining is completed, updating parameters of the multi-physical field model based on actual machining error data, and iteratively optimizing error prediction and compensation strategies. The application improves machining precision and efficiency, solves the problem of insufficient dynamic error monitoring and compensation in the prior art, and is suitable for high-precision machining of workpieces with complex geometric structures.

The invention relates to the technical field of semiconductor manufacturing, and discloses a sparse temperature measurement thermal field prediction method fusing Transform and physical information, and the method comprises the steps: firstly generating a temperature field data set containing sparse observation point input and a full-field temperature truth value through finite element simulation; then, a model based on a Transform framework is constructed, and pre-training is carried out; constructing a random forest integration module, integrating the pre-trained model to a decision leaf node, and performing fine adjustment on the model by using a local sample subset; and meanwhile, physical consistency loss is constructed in combination with a heat conduction equation and weighted with data fitting loss to form a total loss function so as to optimize model parameters. During prediction, sparse temperature measurement data are input into the random forest to be positioned to a target leaf node, and the fine-tuned PFN model is called to output a local result to be weighted and integrated to obtain a whole-field temperature prediction value. According to the method, the local division capability and the physical constraint of the random forest are combined, and the precision and the physical consistency of thermal field prediction are improved.

This invention discloses a method and system for electromagnetic and thermal conformal multiphysics simulation of airborne radomes under lightning strike conditions. By employing conformal techniques—applying edge area weighting to the electromagnetic field and volume weighting to the temperature field—high-precision discretization of Maxwell's equations and the heat conduction equations is achieved within a finite-difference time-domain framework, effectively resolving modeling errors caused by the stepped approximation of the curved surface structure of the airborne radome. Furthermore, by interpolating the edge electric field to the mesh center to construct a physically consistent Joule heat source and establishing a bidirectional coupling iterative mechanism between the electromagnetic and temperature fields, co-simulation of electromagnetic and Joule thermal effects under strong electromagnetic pulse lightning strikes is achieved. This method significantly improves computational accuracy and efficiency without requiring excessive mesh refinement, accurately predicting the degradation of electromagnetic transmission performance and structural damage characteristics of the radome after a lightning strike, providing reliable simulation support for lightning-resistant design and performance evaluation.

The application discloses a kind of heat transfer equipment heat conduction's three diagonal heterogeneous many-core parallel solution method and system, and it is related to computer processing technical field.The steps include: collecting the heat transfer parameter of heat transfer equipment, and establishing heat transfer model;Heat transfer parameter is input to heat transfer model, and heat conduction equation is constructed;About heat conduction three diagonal linear equation set is obtained by difference and transformation;The data dependence of three diagonal matrix equation data is eliminated by the method of parallel elimination;Extract part to form small three diagonal matrix equation;Reduced three diagonal matrix equation is solved using chase and catch method;Each process is output three diagonal matrix equation remaining all solutions with the way of task parallel back substitution;And according to the solution result, draw temperature variation curve, obtain the temperature variation of heat conduction process.Solve the problem that three diagonal matrix equation scale is larger in the simulation process of heat transfer equipment heat conduction phenomenon simulation, resulting in the analysis process of heat conduction process is longer in time, and the result is not accurate enough.

The present application relates to the technical field of digital twinning, in particular to a carton processing production line intelligent management and control method based on digital twinning. The moisture content of paperboard, environmental temperature and humidity, and indentation wheel pressure data are collected; a coupled model of the partial differential equation of the mechanical deformation of paperboard and the heat and moisture conduction equation is constructed; the collected data is injected into the coupled model as boundary conditions, and the fiber stress distribution state and local deformation variable of the paperboard are solved; when the maximum stress value exceeds the fiber fracture threshold, indentation wheel gap dynamic compensation instructions and folding arm angle correction instructions are generated based on the local deformation variable and sent to the physical execution mechanism. The method realizes the advance deduction of the micro-mechanical deformation of the paperboard, predicts and eliminates local stress concentration before the physical execution mechanism acts, and avoids paperboard burst lines and poor forming.

This invention discloses a three-dimensional temperature analysis method for substrates containing randomly distributed irregularly distributed heat-generating vias, belonging to the field of microelectronics technology. The method includes: establishing a mathematical and physical model; based on the mathematical and physical model, using a step function to establish expressions for the thermal conductivity, volumetric heat capacity, and heat sources of the vias and chips within the substrate; establishing a three-dimensional heat conduction equation; obtaining eigenvalue equations with unknown coefficients in each dimension based on the three-dimensional heat conduction equation and the thermal model expression containing Fourier coefficients; solving for known eigenvalue equations based on the temperature boundary conditions of the substrate; updating the thermal model expression based on the known eigenvalue equations; and jointly solving for the thermal conductivity, volumetric heat capacity, heat source expression within the substrate, and the three-dimensional heat conduction equation to obtain the Fourier coefficients under the known eigenvalue equation combination corresponding to the eigenvalues ​​in each dimension, and substituting these coefficients into the updated thermal model expression to obtain the temperature distribution of the substrate.

This invention discloses an artificial intelligence-based method for automatic generation and early warning of 3D models of power equipment, relating to the field of power equipment condition monitoring technology. Specifically, it includes: acquiring multimodal time-series data of the target power equipment; constructing a physical information-driven time-series 3D generation network; generating a sequence of time-series 3D models with physical attribute labels; introducing the heat conduction equation, elasticity equation, and electric field distribution equation as residual terms into the loss function through a coupled thermo-mechanical-electric field physical information neural network, ensuring the 3D model satisfies physical coupling relationships; extracting geometric deformation sequences and physical field change sequences as dynamic micro-variation features based on the time-series 3D model sequence; inputting the dynamic micro-variation features into an early warning analysis network to output early warning results; and achieving deep coupling between the early warning network and the generation network through a cross-task gradient sharing mechanism, eliminating temporal disconnect and realizing high-fidelity generation and accurate early warning of 3D models and physical fields of power equipment.

This invention discloses a method and system for calculating the current-carrying capacity and assessing the health status of high-voltage direct current (HVDC) cables. The method includes dividing the cable into a first conventional heat dissipation section, a high-resistance section, and a second conventional heat dissipation section based on the identification results of high-resistance sections; constructing a first heat conduction equation for the first and second conventional heat dissipation sections; constructing a second heat conduction equation for the high-resistance section; solving the first and second heat conduction equations using boundary coupling conditions of continuous temperature and continuous heat flux density at the junction of adjacent sections as constraints to obtain the axial temperature distribution of the cable; based on the axial temperature distribution, using the highest allowable temperature of the conductor as a constraint, using a temperature-resistance coupled double-layer iterative method to deduce the maximum allowable current-carrying capacity of the cable; and calculating the temperature consistency between the measured temperature and the axial temperature distribution to perform cable health classification and defect location. This invention can effectively improve the accuracy of current-carrying capacity calculation and achieve quantitative assessment of cable aging status and accurate location of potential defects.