322 results about "Heat analysis" patented technology

The invention discloses a method for analyzing the influence of a rock mass multi-scale structure on deep geothermal reservoir circular mining, and relates to the technical field of geothermal resource development and rock mechanics, and the method comprises the following steps: establishing a reservoir rock mass mechanical analysis model and a seepage heat transfer analysis model which simultaneously comprise a microscopic microcrack structure and a macroscopic crack structure; based on the reservoir seepage heat transfer analysis model, reservoir temperature field and seepage field analysis is carried out, and water pressure and temperature distribution results are transmitted to the mechanical analysis model; based on the reservoir mechanical analysis model, reservoir stress and deformation analysis under the heat-water-force coupling effect is carried out, and changes of microcosmic microcrack and macroscopic crack structures in the reservoir rock mass are obtained; the rock mass permeability evolution equation and the porosity evolution equation are adopted to calculate the reservoir rock mass permeability tensor and the porosity, and the reservoir rock mass permeability tensor and the porosity are transmitted to the seepage heat transfer analysis model; and solving the reservoir temperature field, the water pressure field and the mechanical response in the geothermal circulation exploitation process by adopting a seepage heat transfer analysis and mechanical analysis staggered iteration mode. By analyzing the reservoir temperature, the water pressure, the deformation evolution response and the reservoir permeability change in the geothermal exploitation process, geothermal exploitation design and protection can be reasonably carried out, and the application prospect is good.

The invention provides a steel shell concrete interface void detection system and method, and relates to the technical field of civil engineering structure health detection, and the system comprises a mobile scanning unit, an excitation unit, an infrared imaging unit, a signal processing and acquisition unit and a comprehensive analysis terminal. The method comprises the following steps: controlling a mobile scanning unit to carry out step-by-step impact excitation and signal acquisition so as to obtain a frequency diagram, and synchronously sampling by using an infrared thermal imager so as to obtain a thermal analysis diagram; and then binarizing the two images respectively, fusing the two images by adopting a noise suppression algorithm to generate a comprehensive image, and judging that the interface is void according to the fused image. According to the method, the high sensitivity of the impact echo method to the layering defect and the accurate description capability of the infrared thermal imaging method to the defect shape are fused, so that nondestructive, efficient and high-precision detection of the steel shell concrete interface void is realized, and the misjudgment and leak detection risks of a single method are effectively reduced.

The invention relates to the technical field of cast iron alloys, in particular to a preparation method of high-carbon-equivalent gray cast iron, which comprises the following steps: taking scrap steel as a main material, taking scrap castings, silicon carbide and a carburant as auxiliary materials, and smelting according to a determined raw material ratio and a determined carbon equivalent value range; sampling smelted molten iron to obtain a first cooling curve of the molten iron, extracting characteristic points, performing thermal analysis to determine the metallurgical state of the molten iron, and adjusting the content of pre-inoculated silicon carbide or analyzing the possibility of over-inoculation; pre-inoculation is conducted on the smelted molten iron, the smelted molten iron is secondarily sampled to obtain a second cooling curve of the molten iron, feature points are extracted, the pearlite form is determined, and the sensitivity index of the smelted molten iron to inoculation is calculated according to the change condition of the feature points of the first cooling curve and the second cooling curve. Through pre-inoculation adjustment and tapping inoculation and pouring inoculation, the problems that graphite is thick and large and the performance is reduced easily due to high carbon equivalent are solved.

The invention discloses a self-reaction substance drying process safety assessment and classification method based on thermal analysis kinetics. The method comprises the following steps: performing a multi-heating-rate programmed heating test on a self-reaction substance under a closed condition by adopting DSC to obtain an exothermic initial temperature, a peak temperature and a specific exothermic quantity, constructing a thermal decomposition kinetic model based on the obtained data, and solving kinetic parameters such as apparent activation energy and pre-exponential factors; combining an energy conservation equation and a thermal explosion theory, predicting a self-accelerated decomposition temperature SADT under an adiabatic condition TD24 and a given filling and heat dissipation condition, determining a temperature safety threshold value of a drying process according to the SADT, and dividing a working condition safety interval; further introducing three dimensionless safety factors including a temperature safety margin, a time safety margin and a thermal explosion margin, constructing a comprehensive risk index, and carrying out risk grade division on the drying working condition. The method provided by the invention has the advantages of low sample consumption, simple test conditions and standardized calculation process, can quantitatively evaluate the safety drying temperature upper limit of different self-reaction substances and under different process conditions, and provides a reliable basis for drying process design and safety control of the self-reaction substances.

The invention provides a bandwidth allocation method and device, electronic equipment and a storage medium. The method comprises the following steps: monitoring network state indexes of a plurality of private line links in real time; carrying out heat analysis on service flows transmitted on the plurality of private line links based on the network state indexes, and identifying a heat flow meeting a preset condition; selecting a target link from the plurality of private line links according to the flow characteristics of the heat flow and the network state index; establishing a hardware direct connection forwarding channel on the target link for the heat flow, and synchronizing configuration information of the hardware direct connection forwarding channel to a control component; and receiving a global bandwidth allocation strategy issued by the control component based on the configuration information, and calling the hardware direct connection forwarding channel to execute local flow scheduling for the heat flow according to the global bandwidth allocation strategy and the network state index. Therefore, the forwarding performance and the resource utilization rate of the private line gateway are remarkably improved.

The invention relates to the field of distributed storage, and discloses a distributed storage system, method and equipment for wind power plant data and a medium, which are used for realizing flexible adjustment of a storage strategy and meeting the storage requirement of dynamic change of a wind power plant data value. Comprising the following steps: collecting SCADA system data at edge nodes of a wind power plant, inputting an information entropy module and an access heat analysis module in parallel, fusing to generate a data value evaluation result, inputting the evaluation result into a cellular automaton engine, outputting a cellular state change instruction, summarizing collaborative strategy requests of at least two edge nodes to a regional center node, and carrying out collaborative strategy analysis on the regional center node. And a fair resource allocation scheme is output through the Sharpley value calculation module. And each edge node synchronously receives the scheme, the time sequence database controller generates a final storage instruction, and data distributed persistent storage is completed. According to the method, on the basis of the correlation between the long-term data value evaluation result and the actual use value, the entropy value and the popularity weight coefficient are optimized, and self-adaptive optimization of the system is achieved.

The invention discloses a turbine blade tip clearance passive matching method based on engine requirements, and belongs to the technical field of aero-engines, and the turbine blade tip clearance passive matching method comprises the steps that the minimum allowable working clearance is determined; determining a typical tip clearance analysis load spectrum; performing thermal analysis and deformation analysis on the rotor and the stator; according to the deformation results of the rotor and the stator, a blade tip gap change rule is analyzed, and a blade tip gap change rule is obtained; according to different engine requirements, blade tip clearance matching is optimized according to the material, the structure and the cooling form of the cartridge receiver; determining an initial cold-state gap according to the narrow-point gap and the minimum allowable working gap; and carrying out iterative calculation, and determining a final blade tip clearance matching scheme. Turbine rotor deformation and turbine stator deformation can be matched so as to ensure that the turbine blade tip clearance is as small as possible in the focused operation state, that is, the turbine blade tip clearance is reduced as far as possible, the turbine efficiency is improved, and the oil consumption rate is reduced on the premise of ensuring the safety of an engine.

The invention relates to the technical field of battery packs, in particular to a battery pack heat preservation and heating control method, device and equipment and a medium. The bag-shaped heat preservation heating sleeve with the heat insulation layer is arranged outside the battery pack to control the temperature; the method comprises the following steps: firstly, acquiring temperature data of each region by using a temperature sensor to analyze and evaluate a temperature state, identifying a temperature abnormal region, performing directional heating analysis, and generating heating control parameters; then, according to the parameters, the heating power of the local area is adjusted, a control signal is sent to a controller, and the output power of the heating film in each area is adjusted; the battery pack can be flexibly installed after leaving a factory, the temperature control effect is improved through the heat insulation effect of the heat preservation heating sleeve and accurate partition control, the battery can be kept at the proper charging and discharging temperature, the effective discharging rate of the battery is improved, and the original battery pack structure does not need to be changed.

A battery material containment device comprises a lid; a housing case that is constructed and arranged to hold a battery material during a thermal analysis operation, the housing case including a threaded region for receiving and removably coupling with the lid to form a gas-tight seal and securing the battery material in the housing case; at least one vent for providing a gas flow path for the release of gasses generated by the battery material in the housing case during the thermal analysis operation; and a heat flow pathway between the battery material and a sensor that is maintained during the thermal analysis operation.

The application discloses a high-voltage vacuum arc-extinguishing chamber contact resistance and equivalent thermal analysis method, comprising the following steps: three-dimensional equivalent modeling of the high-voltage vacuum arc-extinguishing chamber; determining the number and position of the contact piece contact points; experimentally measuring the high-voltage vacuum arc-extinguishing chamber loop resistance and calculating the contact radius; establishing a conductive bridge, and obtaining a simulation loop resistance by an electromagnetic simulation software; adjusting the contact radius so that the simulation loop resistance is consistent with the experimental measurement result, and obtaining an adjusted conductive bridge; performing electromagnetic field-thermal field-airflow field two-way coupling simulation analysis based on the high-voltage vacuum arc-extinguishing chamber equivalent model of the adjusted conductive bridge, and obtaining the high-voltage vacuum arc-extinguishing chamber temperature rise distribution. The application can more accurately simulate the current constriction effect on the large-size high-voltage vacuum contact piece and more accurately simulate the high-voltage vacuum contact piece contact resistance.

The invention discloses a life prediction method based on thermal analysis, and relates to the technical field of semiconductor life prediction. Comprising the following steps: information acquisition: acquiring past prediction information and user demands, wherein the past prediction information comprises past sample information and past prediction life; the specific precision of outputting the target predicted life is determined according to user requirements, different prediction requirements can be met, the target predicted life and scene life information in the corresponding range can be output according to the user requirements through the set life prediction method, the response speed of fuzzy output and the response speed of accurate output are different, and the user experience is improved. According to the method, the efficiency can be improved, the estimation requirements of different posts or tasks can be flexibly met, the added information is correspondingly corrected through a set feedback correction method and the difference between the actual life and the target predicted life, the newly obtained actual life data can be conveniently used for learning and optimization, the dynamic adaptability is improved, and the prediction efficiency is improved. And the precision of subsequent life prediction is improved.

Provided is a light control device (10) comprising a plurality of liquid crystal light control layers (11), (14), and a retardation layer (13) disposed between the plurality of liquid crystal light control layers (11), (14), wherein the plurality of liquid crystal light control layers (11), (14) each includes a guest-host liquid crystal composition, and the softening temperature by thermal analysis measurement of the retardation layer (13) is 180°C or higher. Also provided is an imaging device apparatus (30) comprising the light control device.

The application discloses a kind of online judgment ZL114A alloy modification level thermal analysis method, comprising: 1) in the production smelting process of ZL114A alloy, a certain amount of cast aluminum melt is sampled, and is poured in square sample cup with thermocouple, and the cooling curve of aluminum liquid solidification process is collected using thermal analysis instrument, and the temperature data in cooling process is obtained;2) the temperature data of the collected aluminum liquid solidification process is filtered, the interference in the experimental process is excluded, and the temperature characteristic value required for subsequent analysis is extracted;3) the temperature characteristic value of ZL114A in cooling process extracted from cooling curve is substituted into modification grade evaluation model, and the modification grade of ZL114A evaluated by software online is obtained.The method of the application uses modification grade calculation model to evaluate and calculate the modification grade of target aluminum liquid, can make more rapid, more accurate judgment to the modification effect of ZL114A alloy, provide basis for the dynamic adjustment of the addition amount of modifier in production process, and guarantee the yield of ZL114A alloy.

This invention discloses a collaborative scheduling and path planning method for warehousing and logistics robot clusters, relating to the field of path coordination and planning technology. When constructing a directed topology graph, this method records the passage cost value and initializes a second-level occupancy record table to achieve accurate querying of the number of nodes occupied per second. When assigning tasks, if the starting node is full, the start is delayed to eliminate congestion at the starting point. During path generation, nodes are filtered based on their passage cost value, and nodes that are full at the arrival time are excluded to avoid leading to congestion points. When updating the record table, the robot number is entered at the arrival time, quantifying the occupancy into second-level data. During congestion analysis, the capacity of nodes with density ratios exceeding a threshold is temporarily reduced to shrink the number of occupants in advance. During traffic heat analysis, the passage cost value of the edges traversed is increased according to the robot type and loading level, so that subsequent paths bypass heavily loaded edges. During conflict resolution, temporary capacity is used to determine conflicts, and paths are regenerated according to the adjusted passage cost value, staggering spatiotemporal trajectories to reduce overlap.

The utility model discloses a thermal analysis device for a power device, which comprises an analysis chamber, a horizontally arranged heating table is mounted at the bottom of an inner cavity of the analysis chamber, the heating table is of a circular structure, a plurality of rings of loading grooves are formed in the upper surface of the heating table, each ring of loading groove comprises a plurality of loading grooves which are circumferentially distributed, and the loading grooves are used for placing the power device; a telescopic cylinder arranged downwards in the vertical direction is mounted at the top of an inner cavity of the analysis chamber, a rotary seat and a transverse moving seat are sequentially mounted at the head of the telescopic cylinder from top to bottom, a lead screw penetrates through the transverse moving seat, a nut in threaded connection with the lead screw is mounted on a main body of the lead screw, and the nut is slidably connected with the bottom of the transverse moving seat; and a thermal imaging component arranged downwards is mounted at the bottom of the nut. The thermal analysis device for the power device provided by the utility model can realize synchronous testing of batch devices, and remarkably improves the testing efficiency.

The invention relates to a thermal analysis method and a measuring device for a solidification process after modification treatment of aluminum and aluminum alloy, and the thermal analysis method comprises the following steps: adding seed crystal particles into an overheated melt in a vacuum environment or an inert atmosphere through a feeding device; cooling and solidifying the overheated melt, and collecting and recording a cooling curve T-t of the seed crystal particles through a high-speed temperature collecting device; the cooling curve is subjected to derivation calculation, and thermal characteristic parameters in the melt solidification process are represented; comparing the thermal characteristic parameters, and judging the deterioration effect. According to the method, the seed crystal particles are placed into the melt, melt solidification data are collected, and efficient judgment and high-throughput screening of the seed crystal particles and the second-phase modified refined seed crystal particles in the aluminum alloy are achieved by means of the quantitative relation among the seed crystal particle characteristics, the local temperature and the supercooling degree.

This invention provides a method for predicting the fiber orientation distribution of short-fiber reinforced resins, which enables structural analysis that simply considers the fiber orientation of the resin without performing flow analysis. [Solution] A method for predicting the orientation distribution of fibers contained in an injection-molded product of short fiber-reinforced resin having a skin layer and a core layer by simulation, comprising: an analysis model creation step of creating an analysis model for a virtual object using CAE analysis software based on the finite element method (S1); a step of performing a transient thermal analysis based on thermal analysis conditions including information on the gate position where the resin is injected, and predicting the flow direction of the resin from the heat flow direction obtained by the transient thermal analysis (S2, S3, S4); and a fiber orientation tensor calculation step of expressing the degree of flow direction orientation of the skin layer and the core layer with an algebraic relation, and calculating a fiber orientation tensor indicating the orientation state of the fibers by performing an algebraic operation based on the algebraic relation (S5).

The application provides a kind of fast low-cost lithium ion battery charge-discharge heat generation measurement method, to solve the problems such as complex equipment, high cost, cumbersome operation in the prior art measurement method.The method comprises the following steps: completely immerse the measured lithium ion battery in liquid medium, ensure uniform temperature by stirring, record initial temperature;Apply charge-discharge condition to the battery, record the termination temperature;Based on the volume and specific heat capacity of the liquid medium, calculate the heat generation and heat generation power of the battery;By using the standard sample for correction, further correct the heat generation measurement value, and finally obtain the real heat generation and heat generation power of the battery.The application simplifies the operation process, has the advantages of simple operation, low cost and easy popularization, and is suitable for the test and heat generation analysis of lithium ion battery, and has wide application prospect and popularization value in the field of battery test.

A gas analysis apparatus and method are disclosed that can perform measurements in direct and collection modes without complex control. The gas analysis apparatus 100 according to this disclosure includes: a branching component 20 for branching a target gas; a mass spectrometer 80 for mass spectrometry analysis of one branch of the target gas; a collection component 60 for holding another branch of the target gas; a gas chromatograph 70 for analyzing the other branch of the target gas held by the collection component; and a controller 50 for controlling the flow paths of the one branch of the target gas and the other branch of the target gas. During thermal analysis, the branching component 20 is controlled to continuously branch the supplied target gas and discharge the one branch of the target gas and the other branch of the target gas, and after the thermal analysis is completed, the other branch of the target gas held by the collection component 60 is supplied to the gas chromatograph 70.

The invention discloses a tobacco shred moisture detection method and system based on a thermal analysis infrared combined method, and relates to the technical field of tobacco detection.The method comprises the steps that under the set gradient temperature rise test condition, a tobacco shred sample is tested through the thermal analysis infrared combined method, and a test curve is obtained; according to the test curve, determining heat release substances and heat absorption and release conditions in different temperature intervals, and determining a gradient temperature rise scheme according to the heat release substances and the heat absorption and release conditions; determining moisture contents and microstructure diagrams of the tobacco shred samples under different gradient heating schemes, comparing the moisture contents of the tobacco shred samples with standard moisture contents, judging whether national standard errors are met or not, and evaluating the quality of the dried tobacco shreds on the microstructure diagrams, so as to optimize the gradient heating schemes; and under the optimized gradient heating scheme, detecting the to-be-detected tobacco shreds to obtain the moisture content. The tobacco shred moisture detection efficiency is improved, the detection precision is ensured, and meanwhile, the tobacco shred drying quality can be controlled through auxiliary analysis based on the microstructure chart.

The application discloses a high-heat-consumption SiC MOSFET power device thermal analysis method based on a finite element method, which comprises the following steps: step 1, loading material information; step 2, three-dimensional modeling, modeling according to the three-dimensional size and arrangement position of each component to obtain a three-dimensional model; step 3, model correction, performing arc processing and simplification processing on the edges and corners of the three-dimensional model; dividing a calculation grid based on the simplified model; step 4, setting, setting the material properties of each part of the simplified model; setting the boundary conditions of the simplified model; step 5, obtaining a steady-state temperature, selecting a solid heat transfer physical field model, and using a finite element numerical method of a heat conduction equation to obtain the steady-state temperature of the high-heat-consumption SiC MOSFET power device to be analyzed. The application can more efficiently calculate the working steady-state temperature of the high-heat-consumption SiC MOSFET power device, and the simplified SiC MOSFET model used can improve the calculation speed while meeting the engineering error requirement.

The invention discloses an intelligent storage dynamic goods allocation distribution method based on goods allocation popularity analysis, and belongs to the technical field of intelligent storage management. The method comprises the steps of 1, collecting goods location coordinates, goods attributes and historical and current order data; 2, calculating goods real-time demand popularity and goods shelf position popularity based on the current order, and coupling to obtain goods allocation coupling popularity; 3, by taking maximization of the total goods allocation coupling heat and optimization of the estimated picking path as targets, constructing a dynamic equilibrium model and solving and outputting a goods allocation distribution scheme; and step 4, executing distribution and order picking tasks, collecting actual operation data and feeding back the correction heat calculation model to realize closed-loop optimization. According to the method, the coupling conflict between static goods allocation and dynamic order selection is solved, the linkage decision of storage location optimization and path planning is realized, the method can be adaptive to order fluctuation and operation environment change, and the warehousing operation efficiency is remarkably improved.

The invention provides a DFDNTN / TNAZ eutectic substance and a preparation method thereof, DFDNTN and TNAZ are weighed in proportion in an alumina crucible of DSC (Differential Scanning Calorimetry) according to the total amount of 5mg, a test is carried out under the conditions that nitrogen is used as an atmosphere and the heating rate is 10k / min in DSC thermal analysis, the temperature is raised to 150 DEG C which is higher than the melting point of any single component, and one sample is circulated for three times, so that the samples can be uniformly mixed. DSC curves of different heating rates are obtained. When the ratio of DFDNTN to TNAZ is 4: 6, the melting point is 88 DEG C. According to the method, the eutectic point can be quickly found by using a trace amount of samples, and the eutectic substance and the high-energy component (RDX) are mixed by adopting a micro-heat thermal instrument, so that the thermal behavior between the eutectic substance and the high-energy component is researched. The melting point of the eutectoid prepared by the invention is reduced, so that the energy characteristic, the mechanical sensitivity and the decomposition temperature of the eutectoid are between those of two single components, and the volatility of TNAZ can be effectively relieved.

The application provides a method for determining the structural temperature field and thermal deformation of a compressor rotating disc cavity, which can be applied to the technical field of heat analysis of turbomachinery. The method comprises the following steps: obtaining the geometric parameters, operating parameters and working substance property parameters of the gas in the disc cavity; based on the balance between the buoyancy effect and the viscous effect driven by the centrifugal force, the average heat flux density of the outer ring cover of the disc cavity is obtained according to the outer ring cover radius, the axial gap of the disc cavity, the rotating disc speed, the outer ring cover temperature, the rotating core zone temperature, the Prandtl number, the density, the dynamic viscosity and the thermal conductivity; based on the heat conduction analogy relationship of the laminar Ekman boundary layer, the local heat flux density of the rotating disc is obtained according to the rotating disc speed, the kinematic viscosity, the thermal conductivity and the difference between the rotating disc temperature and the rotating core zone temperature; and the structural temperature field distribution and the thermal deformation of the rotating disc cavity are obtained according to the average heat flux density of the outer ring cover of the disc cavity and the local heat flux density of the rotating disc.

The invention relates to the technical field of advanced ceramic additive manufacturing control, in particular to a low-defect degreasing process for a light-cured silicon nitride ceramic green body, which comprises the following steps: S1, obtaining the same organic system of the light-cured silicon nitride ceramic green body to be degreased, carrying out thermal analysis, obtaining a mass loss rate TG-DSC curve, and determining the peak temperature Tp of a main decomposition peak; s2, respectively setting a thermal insulation platform, a pre-peak platform temperature T1 and a post-peak platform temperature T2 before and after the main decomposition peak; s3, the degreasing temperature range is divided into at least three stages with T1 and T2 as nodes, the heating rate is set, and degreasing is completed; according to the method, the main decomposition peak of the organic system is identified through thermal analysis, and the main decomposition peak temperature zone is converted into a controllable gas release process of pre-release before peak and emptying after peak from single high-risk concentrated gas release, so that the occurrence probability of defects such as swelling, layering and cracking is reduced, and the degreasing stability and the finished product consistency are improved.

The application discloses an adiabatic accelerating calorimetry method with fast reaction heat loss correction. The application realizes more accurate calculation of sample reaction kinetics and thermodynamics by compensating the convection and conduction heat loss in the fast reaction stage; differential equations are derived and solved from the perspective of heat balance by using heat transfer analysis; a new heat loss calibration mode is added, the HWS heating stage is divided into two parts, the convection heat loss coefficient is calibrated by tracking the reaction system temperature by controlling the cover temperature in the first part, and the conduction heat loss coefficient is calibrated by controlling the constant temperature of the furnace body in the second part; the linear fitting and interpolation method are used to solve the relationship between the heat loss coefficient and the temperature in the reaction process; and finally, the heat loss in the reaction process is integrated to compensate the sample heat release. The application improves the accuracy and reliability of the solution of thermodynamic and kinetic parameters.

The invention relates to the technical field of automobile manufacturing, and discloses a thermal analysis method, system, medium and equipment for an automobile sheet type high-voltage connector, and the method comprises the steps: obtaining the physical parameters, maximum load current and maximum working temperature of the body material of each part in the automobile sheet type high-voltage connector, constructing a three-dimensional model of the automobile sheet type high-voltage connector, and constructing a three-dimensional model of the automobile sheet type high-voltage connector; the three-dimensional model of the automobile sheet type high-voltage connector comprises a shell, a conductor and a terminal, performing model cleaning and mesh generation on the three-dimensional model of the automobile sheet type high-voltage connector, and constructing a thermal analysis model; the heat and heat dissipation conditions of all parts of the automobile sheet type high-voltage connector during working are simulated on a thermal analysis model, and physical parameters and structures of materials are adjusted so that the current and temperature during working can be always smaller than the maximum load current and the maximum working temperature. The test period can be shortened, the efficiency is improved, and the cost is reduced.

The present disclosure relates to a thermal analysis system and method for a battery system. The thermal analysis system includes a learning data generation device configured to generate second thermal analysis data using first thermal analysis data and a first artificial neural network model. The first thermal analysis data is obtained through numerical thermal analysis of a battery system. The thermal analysis system also includes a model construction device configured to construct a thermal analysis model by using a second artificial neural network model with the first thermal analysis data and the second thermal analysis data as learning data.

This invention discloses a multi-objective prediction method for wirebond thermal fatigue life and electrical performance, belonging to the field of microwave interconnect technology. The method includes: determining the physical and structural parameters of the wirebond interconnect structure; obtaining a mathematical description of the wirebond morphology; establishing a thermal analysis model and a structural-electromagnetic analysis model for the wirebond interconnect structure; designing comprehensive experiments and obtaining various performance indicators; establishing a mapping relationship model from wire geometry parameters to various performance indicators; establishing a thermal fatigue life prediction model and completing reliability life prediction. This method can be used to accurately parameterize wirebond interconnect structural models, rapidly achieve multi-objective prediction of wirebond thermal fatigue life and electrical performance, and guide the structural design and optimization of wirebond packages.