128 results about "Temperature load" patented technology

The invention relates to the technical field of material simulation models, and particularly discloses a finite element analysis and thermal expansion mismatch effect-based comprehensive simulation model construction method, which comprises the following steps of performing geometric model construction on a target material; constructing a geometric model: adopting modeling software to create the geometric model of the target material, and obtaining a thermal mismatch target area interface; parameter data of a target material are obtained for assignment, and then a target material grid is preprocessed; performing boundary condition constraint on the geometric model of the target material, and applying a temperature load; establishing a thermal stress corresponding mechanism for the geometric model of the target material, calculating to obtain thermal stress values of the unit grids, and converting the thermal stress value on each unit grid into a cloud picture in a color manner based on the thermal stress values of the unit grids to obtain a thermal expansion mismatch effect comprehensive simulation model; the quantitative analysis capability of the thermal stress difference of multiple materials is realized; potential stress concentration areas caused by thermal expansion mismatch can be identified.

The invention provides a special-shaped air film hole thermal mechanical fatigue simulation part design method, which comprises the following steps of: 1, analyzing the strength and the service life of a turbine blade, and identifying a key part of the service life of a special-shaped air film hole; 2, determining that the thermal mechanical fatigue simulation piece is of a hollow structure; 3, parameters of a clamping part of the hollow simulation piece are stipulated; 4, determining the mechanical stress of the key part through three-dimensional finite element simulation of the turbine blade; 5, verifying the included angle between the principal stress direction and the growth direction of the key part of the simulation part; step 6, measuring stress by using a strain gauge under a normal-temperature initial mechanical load, and verifying whether the load is compliant or not; 7, performing three-dimensional finite element simulation analysis on the temperature field of the test piece and calculating thermal stress; 8, controlling the thermal stress distribution of the section of the simulation piece by controlling the temperature distribution; step 9, when cooling gas is introduced into the inner cavity of the special-shaped gas film hole simulation piece, carrying out a thermal mechanical fatigue test by adopting an in-phase mechanical-temperature load; and step 10, optimizing the structure of the special-shaped gas film hole and analyzing the strength.

The invention relates to the technical field of machine room heat dissipation, in particular to a control system and method for machine room heat dissipation, and the system comprises a refrigeration unit which comprises a gas-liquid heat dissipation heat pipe module arranged in a server heating area and a cold source of at least one refrigeration mode; the monitoring unit is used for collecting temperature and load data when the server runs; a control unit having at least two cooling dynamics adjustment logics and a processor for executing the two cooling dynamics adjustment logics; one cooling adjustment logic is a coarse adjustment logic based on the temperature difference value of inlet and outlet gas / liquid of the gas-liquid heat dissipation heat pipe module, the other cooling adjustment logic is a fine adjustment logic based on load monitoring data and a prediction model, the coarse adjustment logic is executed firstly to judge whether a cooling mode is started or not, and then the fine adjustment logic is executed to optimize cooling resource allocation. The method not only depends on the temperature difference value to judge the switching of the cooling mode, but also combines with the prediction of the future load change trend to perceive the heating sudden increase caused by the load fluctuation in advance.

The invention relates to the technical field of air conditioning refrigerating systems, in particular to a chilled water cascade energy-saving control method and a chilled water cascade energy-saving control system for a chilled water cold storage system, and the method comprises the following steps: calculating low-temperature load cold storage capacity, medium-temperature load cold storage capacity and high-temperature load cold storage capacity of a cold storage container; according to a local power grid policy, determining peak, flat and valley periods; determining low-temperature, medium-temperature and high-temperature load cooling time; collecting hourly cold loads and corresponding meteorological parameters of low-temperature, medium-temperature and high-temperature chilled water when the refrigerating system operates; training to obtain a model; according to meteorological parameters of hourly weather forecast of the next day; summing the predicted high-temperature, medium-temperature and low-temperature hourly loads of the next day in the peak period of the power grid; a low-temperature load cold release strategy is formulated; formulating a medium-temperature load cold release strategy; a high-temperature load cold release strategy is formulated; and according to the determined low-temperature, medium-temperature and high-temperature cold release time, opening and closing of each valve of the system are controlled, and each cold release process is completed.

The invention belongs to the technical field of material corrosion, and particularly relates to an oxidation film crack simulation method and system for T91 steel in a liquid metal environment and a terminal thereof. Comprising the following steps: step 1, constructing a T91 steel matrix and internal and external oxidation film models based on near-field dynamics; 2, setting a time-varying model interface in the near-field dynamic model; and 3, a near-field dynamics quasi-static solver based on a nonlinear conjugate gradient method and a Griffith fracture criterion is developed, the mechanical response and the damage degree of the T91 steel matrix and the internal and external oxidation films under the influence of the sampling temperature load are simulated and calculated, and a simulation result is exported. The method has the beneficial effects that the T91 steel model containing the oxidation film is constructed, the influence of the sampling temperature load is reflected by introducing the sampling temperature load parameters into the near-field dynamic constitutive force function and the critical key strain function, and simulation of the cracking process of the T91 steel containing the oxidation film is achieved.

The invention provides a door-shaped steel bar optimization method and system based on ballastless track interface damage analysis, and relates to the field of track traffic, the method comprises the following steps: determining track interlayer bonding parameters of a ballastless track based on interface comprehensive mechanical property test data of a concrete material composite test piece of the ballastless track, and establishing a finite element model of the ballastless track; a service temperature field of the ballastless track is calculated, and equivalent simulation of shrinkage of the self-compacting concrete layer is completed; on the basis of the multiple structure optimization variables, multiple door-shaped steel bar optimization schemes are determined, and the track interface damage area and distribution of the ballastless track under the combined action of shrinkage of the self-compacting concrete layer and the temperature load are calculated by utilizing a finite element analysis method based on a finite element model of the ballastless track corresponding to the door-shaped steel bar optimization schemes; the method has the advantages that the early-stage interface damage risk is reduced, and the durability and reliability of the track structure are improved.

The invention relates to an energy-saving control system for a refrigerating machine room of a super high-rise building. A room-temperature water chilling unit control system, a medium-temperature water chilling unit control system, a double-temperature load characteristic analysis module and an outdoor meteorological parameter module are arranged in a machine room central control host; the normal-temperature water chilling unit control system and the medium-temperature water chilling unit control system configure a normal-temperature cold source and a medium-temperature cold source in the super high-rise building to conduct combined refrigeration on a service area. The double-temperature load characteristic analysis module collects load data of the normal-temperature water chilling unit control system and the medium-temperature water chilling unit control system, establishes a cold source system optimization model through TRNSYS software in combination with a load historical database and data of a local outdoor meteorological parameter module, calculates and optimizes equipment selection of the cold source system, and calculates and optimizes the equipment selection of the cold source system. And the high-efficiency refrigerating room standard is reached. According to the invention, full utilization of energy is realized in a mode of simultaneously using a normal-temperature cold source and a medium-temperature cold source of the refrigerating machine room of the super high-rise building, so that a better energy-saving effect is realized.

The invention belongs to the field of data center temperature control, and discloses a data center temperature control method and system based on a multi-layer perceptron, and the method comprises the steps: collecting the temperature, load and environment parameters of a data center cabinet, inputting a trained temperature control system prediction model, taking the multi-layer perceptron as a basic model for the temperature control system prediction model, and outputting the temperature set value of the refrigeration system and the deflection angle of the guide plate, and dynamically adjusting the temperature set value according to the preset cabinet target temperature to realize temperature control. The multi-layer perceptron is used for learning and modeling historical data, and the complex relation between each parameter and the control parameter of the refrigerating system is captured. The method is remarkable in effect, and compared with a traditional CFD method, calculation is more efficient, temperature changes can be rapidly responded, and the method is suitable for real-time control; compared with the existing deep learning application, through reasonable model architecture and training, the training time can be shortened, the parameter optimization difficulty can be reduced, and the prediction precision stability can be improved, so that the temperature control efficiency is improved, the energy consumption is reduced, and the method is more suitable for variable practical application environments.

The invention relates to the field of precision machining, and discloses a thin-walled workpiece machining deformation prediction and optimization method under multiple working conditions. Comprising the following steps: setting a fixed constraint and an initial environment temperature by constructing a finite element model containing an initial residual stress field; the cutting effect of the tool is equivalent to a milling force-temperature load, a stress and a temperature field of a tool-workpiece contact area are calculated, and material removal is simulated by using a life-death unit technology; based on a Python script, establishing a space mapping algorithm of tool location point coordinates and grid units to obtain a tool path file; a working condition combination matrix of a cutting mode-machining sequence is constructed, and multi-working-condition simulation is conducted on nine machining strategies; a deformation prediction matrix of multiple working conditions is constructed, and a minimum deformation processing strategy is output through iterative optimization; the machining deformation can be obviously reduced by preferably selecting the following peripheral mode and the cross machining sequence. The method solves the problems of prediction and optimization of machining deformation of the thin-walled workpiece under multiple working conditions, and contributes to key technical support for the field.

The embodiment of the invention provides a thermal fatigue life reliability evaluation method for a thermal interface material, and the method comprises the steps: applying a boundary condition and a temperature load to a thermal interface material simulation model, and appointing the physical quantity of the thermal interface material, which needs to be output by the thermal interface material simulation model, so as to enable the thermal interface material simulation model to carry out simulation; and determining the thermal fatigue life reliability of the thermal interface material in the preset temperature change range according to the simulation result. Through the embodiment of the invention, the problems of long time consumption and high cost caused by the fact that the thermal fatigue life reliability evaluation of the thermal interface material depends on the real reliability test after chip packaging in the related technology are solved.

The invention provides a tool turret head swinging control method and system of a numerical control machine tool. The method comprises the steps that according to a temperature load coupling data set and temperature gradient field distribution data, a thermal deformation space vector of a tool turret swing head is calculated and generated through a thermal resistance and thermal capacitance network; searching a pose deviation value corresponding to the thermal deformation space vector from a preset association relation table; and according to the pose deviation value, the rotation positioning parameter of the tool turret and the swing angle parameter of the swing head are adjusted, so that the tool nose track is matched with the target machining path in real time. According to the technical scheme, thermal errors in the machining process of the numerical control machine tool are eliminated through the thermal deformation real-time compensation technology, and the machining precision and the quality stability are improved.

The invention discloses an ultrahigh-temperature multi-axial-force thermal coupling test system and method for a multi-layer thermal protection structure, and belongs to the field of multi-layer thermal protection structure testing. The system comprises an in-plane loading module, an out-of-plane loading module and an ultra-high-temperature radiation loading module which are loaded on a test piece, the in-plane loading module is connected with the periphery of the test piece through an in-plane extension type clamp so as to simulate an in-plane fatigue load; the out-of-plane loading module is connected with the end face of the test piece through an out-of-plane extension type tool so as to simulate an out-of-plane fatigue load; and the ultrahigh-temperature radiation loading module is attached to the end surface of the test piece, so that high-temperature loading can be provided, and meanwhile, the constancy of the loading temperature can be ensured. The problems that true values of ultrahigh-temperature loads and complex stress borne by the multi-layer thermal protection structure are difficult to obtain, the actual reference value is low and the like due to the fact that an existing test method cannot give consideration to tests of in-plane loads, out-of-plane loads and high-temperature loads at the same time are solved.

The invention relates to a bridge prestressed reinforcement elastic compression loss prediction method and system and a storage medium. The method comprises the following steps: simulating a bridge model through finite element software; the sum of all the prestressed reinforcement units is calculated, and temperature loads applied to all the reinforcement units are calculated; according to a prestressed reinforcement tensioning sequence and a life-death unit method, temperature loads are applied to reinforcement units one by one, and calculation is carried out; the method comprises the following steps: constructing an original data set, preprocessing, and dividing to obtain a training set, a verification set and a test set; constructing an MLP multilayer perceptron neural network model as a prediction model of the elastic compression loss of the bridge prestressed reinforcement to the concrete, and training the prediction model; and utilizing the trained prediction model to predict concrete elastic compression prestress loss caused by tensioning other prestressed reinforcements by the prestressed reinforcements. According to the invention, the elastic compression loss prediction of the bridge prestressed reinforcement can be quickly and accurately realized.

The present invention discloses a two-layer distributed control method for constant temperature loads of smart grids. First, a two-layer distributed control structure is constructed, which includes two functional modules: an optimization layer and a control layer. The optimization layer realizes the economic optimization scheduling of TCL energy consumption by introducing a bill splitting function and based on the aggregation game theory. At the same time, by introducing the "comfort state" indicator, a fair distribution mechanism is designed to balance the comfort experience of different users. The control layer receives the signal output by the optimization layer and adopts a state-related variable exponential coefficient control algorithm. While ensuring the convergence speed, it effectively avoids the singularity problem caused by the sign function and realizes the fixed-time precise tracking of the TCL operating state. The present invention realizes the coordinated optimization of user comfort and system economy, and has the advantages of clear structure, high control accuracy, strong privacy protection and suitability for large-scale applications. It has broad promotion value and application prospects.

The invention discloses a method for calculating temperature load of an arch dam adopting permanent heat preservation measures in a cold region, which comprises the following steps of: calculating a quasi-stable temperature field of a typical section of the arch dam by adopting a finite element method and combining thermal parameters of heat preservation materials and concrete of upstream and downstream dam surfaces of the arch dam according to a stable heat conduction principle; the calculation of the temperature load of the arch dam adopting the permanent heat preservation measure in the cold region is realized, a new method for calculating the temperature load of the arch dam adopting the heat preservation measure is explored, and the efficiency and the precision of temperature load calculation are improved.

To accurately predict a behavior of voids occurring in a resin molded product produced by an injection molding process using resin materials.SOLUTION: A void occurrence prediction method includes: obtaining temperature dependency data of Young's modulus in a molten state from viscosity measurement results using formula (I); creating an analytical model of an injection molded product; obtaining a temperature distribution and a pressure distribution of the analytical model during a molding process; calculating a temperature distribution of the analytical model during a cooling process after demolding; calculating an elastic modulus distribution and a temperature load distribution of the analytical model based on the temperature dependency data of Young's modulus and the temperature distribution and pressure distribution; calculating distortion occurring in the analytical model by structural analysis using the elastic modulus distribution and the temperature load distribution; and predicting at least one of a void occurrence location and a void volume from the distortion. E=ω1η+ω2 ... (I), where η: viscosity, E: Young's modulus, ω1,ω2: constant.SELECTED DRAWING: Figure 2

1. The name of the design product: Bridge expansion joint (wave shape). 2. The use of the design product: The design product is arranged at the bridge surface connecting position between two bridges, between the bridge end and the abutment, and is used to compensate for the bridge deformation caused by the temperature load, live load under normal conditions, and the earthquake load, impact load, settlement displacement under sudden conditions. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The utility model provides a bonding-free integrated flexible support aluminum-based reflector, which relates to the technical field of structural design of aerial survey camera reflectors and comprises a reflector body, a first flexible ring, a second flexible ring, a second connecting piece, a first connecting piece and a threaded connecting piece. The first flexible ring and the second flexible ring are connected in a matched mode, the first connecting pieces, the second connecting pieces and the threaded connecting pieces are alternately arranged in a staggered mode, the influence of threaded connection stress on the surface shape precision stability of the reflecting mirror is reduced, and meanwhile the reflecting mirror body can be in a free expansion state; the influence of temperature load on the surface shape precision of the reflecting mirror is effectively avoided, and the risk that the surface shape precision and surface shape stability of the reflecting mirror are reduced due to a reflecting mirror bonding process and curing shrinkage of an adhesive layer after bonding in a traditional design is completely eliminated. And the influence of production assembly, bonding and temperature change on the surface shape precision of the reflecting mirror in the prior art is solved.

The application discloses a hydrogen-induced cracking acoustic testing system and method, which comprises an electrochemical environment simulation device, a stress loading device, a temperature loading device, an acoustic emission testing device and a control device. The electrochemical environment simulation device is internally provided with a test piece and is used for providing a corrosion environment required by hydrogen-induced cracking testing. The stress loading device and the temperature loading device are used for providing specified load force and temperature required by testing. The acoustic emission testing device is used for recording acoustic emission signals generated after starting hydrogen-induced cracking testing under the conditions of the specified load force and the temperature. The control device is used for starting the electrochemical environment simulation device and the acoustic emission testing device when the stress loading device and the temperature loading device respectively reach the corresponding specified load force and temperature, and receiving the acoustic emission signals, so as to analyze the evolution law of hydrogen-induced cracking of the test piece material. The application truly simulates the working condition of the hydrogen-induced cracking process of the test piece material, studies the hydrogen-induced cracking performance of the material, and improves the accuracy and reliability of the experimental results.

This application provides a method for assessing the thermal fatigue life reliability of thermal interface materials. The method includes: applying boundary conditions and temperature loads to a simulation model of the thermal interface material; specifying the physical quantities of the thermal interface material to be output by the simulation model; and enabling the simulation model to perform simulation. Based on the simulation results, the method determines the thermal fatigue life reliability of the thermal interface material within a preset temperature variation range. This application solves the problem in related technologies where the assessment of the thermal fatigue life reliability of thermal interface materials relies on actual reliability testing after chip packaging, resulting in long processing times and high costs.

The present invention discloses a high-throughput testing method for the mechanical properties of materials under high speed and high temperature. The rotation speed and size of the centrifuge, the size and weight of the test sample, the centrifugal stress and other parameters are determined, and a temperature-controlled thermocouple and a strain gauge are installed on the gauge section of the test sample. The temperature control system controls the operation of the induction heating system and the circulating water cooling system to apply a temperature load to the test sample. The main shaft of the centrifuge is started to rotate and the speed reaches the rotation speed, which remains unchanged until the test sample is broken. Data is collected in real time through the temperature-controlled thermocouple and strain gauge, and finally the centrifuge is closed and air-cooled to room temperature. The present invention will provide a method for testing the mechanical properties of a material under multiple conditions at the same time, which greatly improves the efficiency of material performance testing and greatly facilitates comparative testing of the mechanical properties of different materials under the same test conditions.

The invention discloses a method for designing a large-scale concrete tunnel wall under the action of gradient temperature difference, which comprises the following steps of: constructing a wind tunnel concrete tunnel wall and an upper grid structure model in general finite element analysis software and traditional structure design software by determining basic constraint boundary conditions; applying an alternating temperature load to the universal software model to calculate stress, applying a conventional load to the traditional structural design software model, combining internal forces of the universal software model and the conventional load to obtain a design control internal force, and adjusting reinforcement according to the internal force and considering nonuniformity of stress distribution of a cave wall; according to the method, the internal force and stress of the structure can be accurately analyzed, the traditional limitation is overcome, safe, reliable and economical design measures are put forward, the performance and safety of the structure under the gradient temperature difference environment are ensured, the accuracy and rationality of the structure design are improved, and the design problem of the large-scale wind tunnel concrete tunnel wall is effectively solved.

The invention discloses a scroll plate stress-strain analysis method based on a finite element model, and relates to the technical field of scroll compressors, and the method comprises the following steps: establishing a dynamic and static scroll plate model, and assembling the static scroll plate model and the dynamic scroll plate model; performing pretreatment on the assembled dynamic and static scroll plate model, eliminating fine features, and completing establishment of a fluid domain; performing steady-state thermal calculation on the scroll plate model by using the temperature data as a boundary condition to obtain temperature distribution of the scroll plate model; loading an inertia load by taking the temperature distribution and the pressure data as a temperature load and a pressure load for stress-strain analysis, and outputting a final stress-strain result; the temperature distribution and the pressure data are used as the temperature load and the pressure load for stress-strain analysis, the inertial load is loaded, and the final stress-strain result is output, so that the problem of inaccurate load loading in the prior art is solved, and the precision and the reliability of stress-strain analysis are improved.

The invention discloses a temperature-resistant anti-cracking structure modeling method and device for a super-long heavy-load air floating terrace and a medium, and relates to the technical field of neural network modeling, effective modeling can be carried out on each layer of the terrace by applying a temperature boundary condition through a geometric structure of an initial terrace structure layer, and the temperature-resistant anti-cracking structure of the super-long heavy-load air floating terrace can be built through temperature-stress-crack cascade mapping. According to the method, the damage evolution process of the terrace under the actual temperature load effect is truly reflected, the crack prediction speed is remarkably improved compared with a traditional finite element method by introducing the neural network model, the engineering real-time evaluation requirement is met, the crack development conditions under different temperature working conditions can be rapidly calculated through the established mapping relation, and the engineering quality is improved. The time-consuming large numerical simulation is prevented from being repeatedly carried out; the temperature resistance evaluation output by the model can directly guide floor material selection and structural design optimization, the influence of different construction schemes on the anti-cracking effect can be quantitatively analyzed, and the stability of the modeling structure can be improved.

The invention discloses a high-cycle and low-cycle fatigue research test method of a spring under a high temperature load, and belongs to the technical field of physical measurement. The test method comprises the following steps: obtaining a spring typical part; initial mechanical property information of the typical spring part is obtained through measurement; carrying out a fatigue life test on the obtained typical spring part; after a fatigue life test of a certain cycle period is carried out, mechanical property information of the typical spring part is obtained through a static test; and performing data analysis according to the obtained mechanical property information of the typical part of the spring to form a database and a related chart. According to the invention, the fatigue test research of springs made of two materials of 50CrVA and 1Cr18Ni9 in a high-temperature environment is carried out for the first time, the elastic property after a certain number of times of tests is explored, credible test data is obtained by comparing measured data with theoretical values, and basic data support is provided for the design of product springs.

A method for separating load effects on a dedicated track bridge comprises the following specific steps: 1. Identifying the train passing phase; 2. Using a nonlinear model to separate train load and temperature load effect data; 3. Using an adaptive algorithm with a memory effect to remove temperature load effect data; 4. Using the multi-scale singular value decomposition (MS-SVD) method to process monitoring data; 5. Using a joint distribution model based on probability theory to optimally estimate the separation of temperature and train load effect data; and 6. Describing the temporal dynamics of train load and temperature load using a state transition matrix. The present invention improves the accuracy of monitoring data: Through adaptive data separation technology, the present invention effectively distinguishes between train load effects and temperature load effects in bridge health monitoring data, avoiding interference from slowly changing factors such as degradation effects, and significantly improving the accuracy of bridge structure health assessment results.

The invention relates to the technical field of inverter temperature control, in particular to an inverter temperature control method and system, and the method comprises the following steps: predicting an environment temperature sequence in a period of time in the future through a pre-built environment temperature prediction model, and calculating a feedforward control quantity through a feedforward controller according to the environment temperature sequence; pre-adjusting heat dissipation resources of the inverter based on the feedforward control quantity; the real-time temperature of a cooling fin of the inverter is obtained, and the feedback controller calculates the feedback control quantity according to the real-time temperature of the cooling fin; performing dynamic compensation on the prediction error of the feedforward control quantity according to the feedback control quantity to obtain a compound control quantity; and calibrating the heat dissipation resource based on the compound control quantity. According to the method, the heat dissipation resources are pre-adjusted by predicting the environment temperature, the response time of sudden change of the environment temperature can be shortened, and temperature overshoot or over-temperature load reduction, caused by lagging adjustment, of the cooling fins is avoided; feedforward control and feedback control form a double closed loop, pre-adjustment and calibration cooperation is achieved through dynamic weight adjustment, and the temperature control precision is improved.

The invention provides an aircraft thermal structure on-orbit circulation and reentry atmosphere mission profile ground temperature loading method, a three-cabin intercommunicated temperature test device is established, three temperature loading environments can be provided, a test piece can be transferred among the three test cabins through a guide rail, rapid heating and cooling required by a test are provided, and the test efficiency is improved. A temperature load environment for providing on-orbit temperature circulation and reentry atmosphere aerodynamic heat for a test piece can be simulated, and engineering requirements are met.

The present application belongs to the technical field of intelligent building energy efficiency management, and discloses a constant-temperature load dynamic modeling method based on federated learning and domain knowledge enhancement, which collects hot water system operation data through multi-site sensors to construct structured modeling input; generates boundary enhancement samples by using physical boundary characteristics; designs a neural network model embedded with domain knowledge and integrates a physical constraint mechanism; realizes multi-client collaborative training and model aggregation by using a federated learning framework, and improves the model generalization ability and privacy protection level. The present application realizes high-precision temperature prediction and energy consumption modeling of multi-site hot water systems under the premise of protecting user data privacy, and solves the problems of poor physical consistency, low modeling precision and difficult data sharing in the prior art.

This application discloses a digital twin analysis method and device for coke tower strain based on the cold point effect, relating to the field of coke tower stress analysis technology. The method includes: constructing a three-dimensional solid model based on point cloud data; constructing a structural digital twin model of the target coke tower based on the three-dimensional solid model; determining the region with the largest bulging on the target coke tower shell and continuously collecting the metal wall temperature-operation time curves at each monitoring point within the current working cycle; compiling the load steps of the cold point temperature loading history based on the metal wall temperature-operation time curves of the non-cold point region and the cold point region, and determining the digital twin temperature field of the target coke tower; obtaining the digital twin stress-strain analysis results through transient stress analysis in finite element software. This application performs digital twin simulation of the strain of coke tower equipment by considering the cold point effect of in-service coke towers and combining temperature monitoring statistics with finite element numerical analysis.