34 results about "Transient stress" patented technology

The invention discloses a stamping die health state assessment method and system based on digital twinning, and relates to the technical field of die health state assessment, and the method comprises the following steps: a physical sensor network deployed on a stamping die collects die stamping process data in real time; constructing a finite element analysis simulation FEA model to simulate the working condition of the stamping die based on the geometric structure, the material attribute and the stamping process parameters of the die; according to the invention, the data of the die stamping process are collected in real time through the physical sensor network, and real-time calculation is carried out in combination with the finite element analysis simulation model, so that transient stress field, strain field and temperature field data of the die can be output in a short time, and real-time monitoring of the health state of the die is realized; by considering the degradation of the mold material performance along with the use time and the dynamic process of quantitative damage accumulation, the damage accumulation value is accurately calculated through the dynamic material performance database and the continuous damage mechanical model, and the accuracy of the evaluation result is improved.

The invention discloses a method and a system for rapidly calculating a transient temperature field and a stress field of a key component of an engine, the transient temperature and the transient stress can be calculated through an algebraic relationship of a small number of variables, the calculation speed is greatly improved, the response of the temperature and the stress can be rapidly calculated under different parameter changes, and the calculation accuracy is improved. In addition, the undetermined coefficients of the rapid calculation model are obtained by fitting historical data and do not depend on accurate geometric or boundary condition description, so that the modeling process is greatly simplified, only a small number of coefficients and formulas are needed, and the modeling efficiency is greatly improved. And the data volume is extremely small, so that the method is suitable for being used on network transmission or embedded equipment, and the storage space and the data transmission pressure are greatly reduced.

The invention relates to the technical field of intelligent manufacturing, in particular to a chain production data monitoring and optimizing system based on industrial internet of things, which comprises a stress load monitoring module, a shock wave propagation analysis module, a vibration feature extraction module, a load optimization control module and a fracture risk early warning module. According to the method, through combination of stress data acquisition and coordinate index and gradient calculation, a transient stress overload area of chain plate stamping and pin shaft heat treatment is positioned, local extreme points are dynamically screened to improve anomaly detection precision, an energy accumulation coefficient is quantified by shock wave propagation speed and attenuation rate, and a vibration anomaly source of a chain pin shaft and a chain plate is associated. The vibration signals are subjected to short-time Fourier transform to analyze riveting and assembling characteristic frequencies, high-resolution stress mode characteristic values are generated to support parameter optimization, operation data are simulated to construct a stress accumulation curve, test parameters are dynamically adjusted in combination with a short-term stress limit to optimize load uniformity, and an impact energy accumulation value is matched with a safety threshold to calibrate load distribution; the fracture risk is reduced.

The invention discloses a turbine disc baffle structure optimization method and device, equipment, a medium and a product and relates to the field of turbine rotors, and the method comprises the steps that actual structure information of a turbine disc-baffle rotor system is obtained; performing finite element modeling on the actual structure information to obtain a finite element model; transient thermal analysis and transient stress analysis are sequentially carried out according to the finite element model, and the most dangerous time step where the maximum equivalent stress and the maximum contact stress are located is obtained; establishing a response surface model based on a Kriging model according to the most dangerous time step where the maximum equivalent stress and the maximum contact stress are located and actual structure information; according to the response surface model, a multi-target genetic algorithm is used for optimization, and optimized turbine disc baffle structure information is obtained. Stress concentration is effectively reduced, and the fatigue life is prolonged.

The invention discloses a method for constructing an unsteady thermal stress analytical model of a through silicon via, which belongs to the technical field of microelectronics and comprises the following steps of: establishing a transient thermal conduction equation and a temperature field boundary condition of the through silicon via; solving the transient heat conduction equation to obtain a transient temperature field analytical model, and obtaining transient temperature field distribution according to the transient temperature field analytical model; establishing an equilibrium equation and a mechanical boundary condition based on a working environment of the through silicon via, and determining a displacement field of the through silicon via and a basic form of a stress field analytical model according to the equilibrium equation and the transient temperature field analytical model; coupling the transient temperature field and the transient stress field according to the mechanical boundary condition and the basic form of the displacement field and stress field analytical model to obtain an unsteady thermal stress analytical model; and obtaining the unsteady thermal stress according to the unsteady thermal stress analytical model. According to the method, the problem that temperature field distribution and thermal stress change along with time are not considered in a thermal stress analysis model is solved, and real-time prediction of thermal stress distribution in the silicon through hole is realized.

The invention discloses a method for detecting an ultrahigh-strength fastener and a related device, and the method comprises the following steps: preparing a stress memory type nano composite coating containing a matrix material, core-shell structure stress sensitive nanoparticles and a fluorescent indicator, and carrying out coating treatment on the surface of the ultrahigh-strength fastener; applying a multi-stage dynamic load to the ultrahigh-strength fastener; light sources with different wavelengths are adopted to activate the coating, so that the fluorescent indicator generates fluorescent signals corresponding to the dislocation density, the microcracks and the subcrystal structure in the fastener respectively; performing multi-band analysis processing on the fluorescence signal to obtain fluorescence characteristic parameters; and the microstructure evolution state and the residual life of the fastener are determined through contrastive analysis with standard fastener parameters. According to the technical scheme, nondestructive testing of microstructure evolution of the ultrahigh-strength fastener under the high-frequency dynamic load can be achieved, the incidence relation between transient stress waves and microstructure long-term evolution is converted into measurable optical signals, and the technical problem of cross-time-scale detection is solved.

The invention discloses a rapid design method and system for a turbine blade, electronic equipment and a storage medium, and the rapid design method comprises the steps: firstly, obtaining boundary conditions of a gas side and a cold air side of the turbine blade in an actual working environment based on flow heat exchange test data, and then constructing a heat exchange boundary model based on the boundary conditions; according to the method, temperature field calculation becomes a pure solid heat conduction problem, and only depends on known boundary conditions and material attributes, so that a heat exchange boundary model can be directly applied to a blade three-dimensional model for transient temperature field calculation, and CFD simulation calculation needing iterative solution is replaced; by means of the method, the most time-consuming flow field solving and flow thermal coupling iteration link in the whole analysis process is thoroughly eliminated, the calculation efficiency is remarkably improved while the calculation precision is guaranteed, a thermal-force coupling chain is cut off through decoupling calculation of the transient temperature field and the transient stress field, and the calculation efficiency is further improved.

The present invention discloses a method and system for rapidly calculating the transient temperature field and stress field of key engine components. The method can calculate the transient temperature and transient stress through the algebraic relationship of a small number of variables, greatly improving the calculation speed. The method can also quickly calculate the temperature and stress responses under different parameter changes, thereby performing rapid parameter optimization, which is significantly helpful for the design stage, material selection, and process adjustment. In addition, the undetermined coefficients of the rapid calculation model are obtained by fitting historical data and do not rely on precise geometric or boundary condition descriptions, which greatly simplifies the modeling process. Moreover, only a small number of coefficients and formulas are required, and the data volume is extremely small, making it suitable for use in network transmission or embedded devices, greatly reducing the pressure on storage space and data transmission.

The present application provides a three-dimensional stress calculation method for engine blades and disks based on transient time history. The method includes the steps of model input, analysis step setting, load calculation, temperature field processing, generation of an APDL command stream file, and three-dimensional transient stress calculation. The purpose of the present application is to establish a three-dimensional stress calculation method for aeroengine blades / disks based on transient time history. By processing the temperature field and rotational speed data of each transient point of the disk / blade under the entire working cycle of the aeroengine, rapid load application and three-dimensional temperature field interpolation are performed in the ANSYS finite element software, improving work efficiency and reducing low-level quality problems; the three-dimensional transient stress of the blade / disk under the working cycle is obtained through rapid iterative calculation, and the stress analysis result is more accurate, thus effectively improving the reliability of the design of aeroengine blades / disks.

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.

This invention relates to the field of power equipment condition monitoring technology, and discloses an online monitoring and evaluation device and method for series compensation capacitors. The method includes: acquiring operating signals and extracting steady-state operating characteristics and transient characteristic parameters; combining historical cumulative fatigue damage, calculating the dynamic frequency-varying equivalent series resistance modulated by the damage positive feedback effect, and substituting it into the thermal differential equation to iteratively calculate the dynamic hot spot temperature sequence; for transient events, constructing a cross-coupling term characterizing the synergistic effect of electrodynamics and thermomechanical softening, and calculating the high-frequency equivalent partial discharge; performing thermomechanical softening correction on the transient overvoltage peak to obtain the thermomechanical equivalent transient stress, and dynamically updating the electro-thermal-mechanical coupled cumulative fatigue damage by combining real-time dynamic hot spot temperature and high-frequency equivalent partial discharge; finally outputting a health status index. This invention integrates the time-varying evolution of thermal stress and the multi-physics field transient synergistic damage mechanism, significantly improving the accuracy of equipment damage quantification.

The invention relates to the technical field of blasting engineering control, and discloses an electronic control module based on a non-explosive rock breaking technology, which comprises an energy storage and execution unit, a core control unit, a transient stress wave sensing unit and a high-speed bus transceiving unit. The core control unit is electrically connected with all the units and used for receiving physical characteristic data generated after the transient stress wave sensing unit captures preorder blasting stress waves or receiving cooperative event codes transmitted by the high-speed bus receiving and transmitting unit from a blasting bus, and the final blasting moment is calculated in a self-adaptive mode based on the cooperative event codes. And then the energy storage and execution unit is controlled to release detonation energy. According to the invention, the problems of low delay precision, complex networking process and poor flexibility of the traditional technology are solved by sensing the physical feedback of the rock mass in real time and carrying out intelligent decision making and networked cooperation, and the accurate and adaptive control of the non-explosive rock breaking process is realized.

The application discloses a turbine disc creep-fatigue test load determination method and belongs to the technical field of aero-engines. The method comprises the following steps: performing transient stress and creep analysis on a turbine disc, calculating fatigue damage components and creep damage components in each stage, and accumulating total fatigue damage values and total creep damage values in a complete flight cycle; determining a flight state with the maximum total damage as a standard cycle; taking the standard cycle as the only reference, a complete set of test parameters are determined: the maximum creep damage state temperature is set as a test temperature, the maximum stress is used to determine a test rotating speed, the test cycle number is determined by backstepping, and the peak value holding time is determined by backstepping. The application realizes the cooperative and accurate design of thermal-mechanical loads, ensures that the test highly simulates actual working conditions, and provides a scientific basis for engine life determination.

The application provides a door and window production quality management method and system, relates to the door and window production quality management field, obtains performance data of doors and windows in actual use environment, identifies performance decline events, extracts environmental condition information and performance change information before and after the occurrence of the performance decline events, constructs scene feature description, traces back to the whole life cycle quality data of the doors and windows based on the scene feature description, identifies potential deviations activated and shown under specific transient stress corresponding environmental conditions, generates quality problem attribution reports and optimization suggestions according to the identified potential deviations, and can effectively solve the technical problems that in the prior art, when performance of door and window products declines in long-term operation, it is difficult to establish a clear cause-and-effect chain, and potential reasons cannot be effectively identified and attributed, so that the long-term reliability and user satisfaction of the door and window products are significantly improved.

The invention belongs to the field of finite element simulation laser-assisted micro-milling, and relates to a prediction method for residual stress of a laser-assisted micro-milling nickel-based superalloy. The method comprises the following steps: establishing a geometric model of the micro-milling cutter and a workpiece, and dividing a cutting area by adopting a transition encryption grid; in explicit dynamics solution, a VVDLUX subprogram is called to load a Gaussian distribution laser heat source moving along with time, a Johnson-Cook constitutive model and a damage failure criterion thereof are combined to describe material heat-force response and chip separation, and a transient stress field after machining is obtained; and then mapping an explicit result to an implicit model based on an analysis continuity technology, and simulating a workpiece stress release and natural cooling heat dissipation process so as to obtain the residual stress distribution of the machined surface. According to the method, the residual stress on the surface of the laser-assisted micro-milling nickel-based superalloy is effectively predicted, and the method has practical application value for improving the machining quality of parts and prolonging the service life of the parts.

The application discloses a dynamic-static coupling observation system based on a double-mode stress response and a data processing method, platform and storage medium thereof; a double-mode test piece is constructed by combining a transparent photoelastic matrix and a force-induced luminescence sensing layer, and strict time-sharing gate control of dynamic loading and delayed phosphorescence acquisition is realized by means of a time sequence controller, so that transient stress wave observation and static stress memory are integrated in the same system; not only the ability of a traditional photoelastic instrument to record the whole process of stress wave propagation in real time is retained, but also the fundamental limitation that the traditional photoelastic instrument cannot identify a plastic zone is broken through, and full-field quantitative distinction of an elastic zone, a plastic zone and a rupture zone is realized. Meanwhile, the phosphorescence lifetime which is not sensitive to interference is used as a main parameter to inverse stress peak value, a reliability evaluation system based on stripe quality, fitting residual error and registration error is established, and the robustness and reliability of measurement results are improved, so that an advanced observation method with complete information, high precision and mutual verification is provided for explosion mechanics and material impact damage research.

The present invention discloses a method for constructing an unsteady thermal stress analytical model for a through-silicon via (TSV), belonging to the field of microelectronics technology. The method comprises: establishing a transient heat conduction equation and temperature field boundary conditions for the TSV; solving the transient heat conduction equation to obtain a transient temperature field analytical model, and obtaining a transient temperature field distribution based on the transient temperature field analytical model; establishing an equilibrium equation and mechanical boundary conditions based on the TSV's working environment, and determining the basic form of the TSV's displacement field and stress field analytical model based on the equilibrium equation and the transient temperature field analytical model; coupling the transient temperature field with the transient stress field based on the mechanical boundary conditions, the displacement field, and the basic form of the stress field analytical model to obtain an unsteady thermal stress analytical model; and obtaining unsteady thermal stress based on the unsteady thermal stress analytical model. The present invention solves the problem that the thermal stress analytical model does not consider the time-varying temperature field distribution and thermal stress, and realizes real-time prediction of the thermal stress distribution in the TSV.

The invention discloses a method for correcting singular points of a steam turbine transient stress field simulation finite element result, electronic equipment and a computer readable storage medium, and relates to the technical field of steam turbine stress calculation. During steady-state simulation of the steam turbine, singular points are often ignored, so that the calculation result of the stress value of the steam turbine is too large and is the calculation result influencing the service life. According to the method, the singular points are corrected by using the K nearest neighbor algorithm and the inverse distance weighting method, and the singular points caused by unreasonable grids, constraints or structures in finite element simulation can be effectively eliminated. The situation that large numerical values of singular points cover the change of a real stress field, and consequently the accuracy of the whole simulation result is affected is avoided. The method is mainly used for correcting the stress value of the singular point.

The application provides a sweating cooling structure optimization design method based on a gradient TPMS, comprising the following steps: constructing a uniform TPMS sweating cooling structure model; applying a preset service load to the uniform structure model, solving by using a pre-constructed damage analysis model, obtaining a cumulative damage field, and identifying a damage concentration area in a boundary transition area according to the cumulative damage field; mapping the cumulative damage field of the damage concentration area into a continuously changing wall thickness field, and the wall thickness value of the wall thickness field is positively correlated with the cumulative damage value of the corresponding position of the wall thickness field; adjusting the boundary transition area based on the continuously changing wall thickness field to obtain a gradient TPMS sweating cooling structure model. The application focuses on the boundary transition area between the TPMS porous section and the solid section, drives the wall thickness gradient design by using the cumulative damage field, positively correlates the wall thickness with the damage, avoids the limitation of the transient stress optimization, accurately relieves the damage concentration in the boundary area, and significantly improves the durability of the sweating cooling structure.

The invention discloses an engineering structure topological optimization method and system for rapid solution under transient stress constraint, which takes the square of the average dynamic flexibility of the whole structure as a target function, and adopts a modal displacement method for quasi-static response compensation in order to solve the problem of huge calculated amount consumption of transient dynamic analysis. Stress control considering transient analysis is realized, and in order to control the calculation efficiency, transient stress after P-norm aggregation is adopted for constraint; and based on an adjoint method, deriving the sensitivity of a target function and the transient stress after P-norm aggregation, and solving an optimization problem by adopting an optimization algorithm based on a moving asymptote method. An optimization example shows that the method can effectively meet the stress constraint requirement while reducing the transient dynamics analysis calculation amount.

The present invention relates to the technical field of grid connection of new energy power generation, and particularly provides a method and an apparatus for suppressing transient stress for a grid-connection converter, comprising: on basis of a DC voltage deviation and an AC current deviation of the grid-forming converter, generating a phase command and a voltage amplitude command, respectively; on basis of the phase command and the voltage amplitude command, generating a sinusoidal pulse width modulation signal for controlling the grid-forming converter. The technical solution provided by the present invention can ensure the system stability of the grid-forming converter and effectively deal with the problems of DC voltage over-limit and transient overcurrent of the system that may occur during a transient response.

The invention relates to the technical field of insulation switch detection, and provides an extra-high voltage GIS multidirectional deformation compensation connector stress analysis method and related equipment. Load calculation is carried out on three-dimensional data to obtain initial load data, nonlinear joint iterative solution is carried out in combination with material data to obtain transient stress and strain associated data, and displacement and stress feedback correction is carried out on a motion constraint data set to obtain a dynamic deformation compensation track. Performing frequency domain and time domain mixed loading processing by combining the transient load spectrum to obtain a dynamic stress response spectrum, and performing cross-scale stress correlation analysis on damage evolution data according to the dynamic stress response spectrum to obtain microdefect extension path data; and finally, life prediction is performed according to microdefect extension path data to obtain a residual life evaluation report. According to the invention, through multi-field coupling, multi-scale analysis and dynamic feedback correction, accurate stress analysis of the multi-directional deformation compensation connector under a complex working condition is realized.

The invention discloses a device and a method for testing the dynamic stress of a top cover bolt of a pumped storage unit, which are used for solving the problems of insufficient bolt dynamic stress test precision and poor dynamic response in the prior art. The device comprises an ultrasonic stress monitoring module, an environmental parameter acquisition module, a data transmission module and a data processing module, and real dynamic stress is calculated by synchronously acquiring bolt ultrasonic signals, temperature and vibration parameters and utilizing a coupling and decoupling formula. The method comprises the steps of sensor calibration, multi-working-condition signal acquisition, data decoupling and fatigue evaluation. Compared with single ultrasonic monitoring of CN112525520B, the method has the advantages that the error is reduced to + / -3 MPa through two-parameter correction; compared with CN117910288A finite element simulation, 1kHz high-frequency dynamic monitoring is achieved, transient stress fluctuation can be captured, real-time data is provided for bolt safety assessment, and monitoring precision and engineering practicability are improved.

The application discloses a rapid design method and system of a turbine blade, an electronic device and a storage medium. The rapid design method is characterized in that: first, boundary conditions of a gas side and a cold gas side of the turbine blade under an actual working environment are respectively obtained based on flow heat exchange test data; then, a heat exchange boundary model is constructed based on the boundary conditions, so that temperature field calculation becomes a pure solid heat conduction problem, and only depends on known boundary conditions and material properties, so that the heat exchange boundary model can be directly applied to a three-dimensional model of the blade for transient temperature field calculation, replacing CFD simulation calculation which needs to be solved iteratively, and completely eliminating the most time-consuming flow field solving and flow-heat coupling iteration links in the whole analysis process, thereby ensuring calculation accuracy and significantly improving calculation efficiency. Moreover, through decoupling calculation of transient temperature field and transient stress field, the heat-force coupling chain is also cut off, further improving the calculation efficiency.

The invention relates to the technical field of aero-engines, and discloses an aero-engine key component life analysis reference cycle determination method and system, and the method comprises the steps: comprehensively considering multi-dimensional factors based on a plurality of typical mission profiles of an aircraft, and determining the actual power of each flight state, calculating performance parameters corresponding to each flight state of each typical mission profile engine by using the engine performance simulation model; constructing an engine reference cycle to carry out transient temperature field analysis and transient stress analysis on the engine key component; determining the service life assessment key position of the key component according to the stress analysis result, and calculating the low-cycle fatigue life of the key component in combination with the material fatigue performance data; and carrying out statistical analysis on the engine load spectrum to obtain the total frequency and cycle number consumption of each section. According to the method, the low-cycle fatigue damage calculation precision of the engine structure under the service condition can be effectively improved, advanced failure or overuse of the structure caused by extensive damage evaluation is avoided, and economical efficiency and safety are both considered.

This invention relates to a device and method for testing the cumulative strain of transformer coils. It constructs a simulation system for the stress characteristics of the coil during a short-circuit impact, fully considering the influence of coil heating, distributed stress on the electromagnetic wire, and the interaction between the electromagnetic wire and the pad on the strain test. A coil cumulative strain testing device is designed to reproduce the transient stress changes during a short-circuit impact, and a method for testing the cumulative strain of the coil is proposed, achieving accurate simulation of the distributed stress on the winding and testing of the cumulative strain. This invention fully considers the influence of the transformer's electromagnetic wire, cardboard structure, and stress distribution on the mechanical stability of the winding, reproduces the transient stress changes during a short circuit, and effectively tests the cumulative strain of the coil under the influence of multiple short-circuit processes. It can accurately reflect the characteristics of a real transformer while controlling test costs, helping to improve the accuracy of transformer post-short-circuit condition assessment and better ensure the safe operation of power equipment.

The present invention discloses a method and related device for detecting ultra-high-strength fasteners, comprising: preparing a stress-memory nanocomposite coating comprising a matrix material, core-shell stress-sensitive nanoparticles, and a fluorescent indicator, and coating the surface of the ultra-high-strength fastener; applying a multi-stage dynamic load to the ultra-high-strength fastener; activating the coating using light sources of different wavelengths so that the fluorescent indicator generates fluorescent signals corresponding to the dislocation density, microcracks, and subgrain structure inside the fastener; performing multi-band analysis and processing on the fluorescent signals to obtain fluorescent characteristic parameters; and determining the fastener's microstructural evolution state and remaining life by comparative analysis with standard fastener parameters. The technical solution of the present invention can achieve non-destructive testing of the microstructural evolution of ultra-high-strength fasteners under high-frequency dynamic loads, converting the correlation between transient stress waves and long-term microstructural evolution into a measurable optical signal, thus solving the technical problem of cross-time-scale detection.

The present invention relates to the field of intelligent manufacturing technology, specifically to a chain production data monitoring and optimization system based on the industrial Internet of Things. The system includes: a stress load monitoring module, a shock wave propagation analysis module, a vibration feature extraction module, a load optimization control module, and a fracture risk warning module. In the present invention, stress data collection is combined with coordinate indexing and gradient calculation to locate the transient stress overload area of ​​the chain plate stamping and the pin shaft heat treatment, and the local extreme value points are dynamically screened to improve the accuracy of abnormality detection. The shock wave propagation speed and attenuation rate are used to quantify the energy accumulation coefficient, and the chain pin shaft and the chain plate vibration abnormality source are associated. The vibration signal is analyzed by short-time Fourier transform to analyze the riveting and assembly characteristic frequencies, and a high-resolution force mode characteristic value is generated to support parameter optimization. The operation data is simulated to construct a stress accumulation curve. The test parameters are dynamically adjusted in combination with the short-term force limit to optimize the load uniformity. The impact energy accumulation value matches the safety threshold to calibrate the load distribution and reduce the risk of fracture.

The present invention discloses a tensile strength detection system for metal wire and its detection method, which relates to the technical field of material testing. The system realizes the acquisition of the tensile strength data of steel wire through the data acquisition module, and transmits the acquired tensile strength data to the data processing module through LoRa wireless communication technology. The data processing module preprocesses and extracts features from these data, and stores the processed data in the time series database. The wire strength analysis module outputs the accurate transient stress coefficient Y(t), stress-temperature correction coefficient Y T (t) and stress-vibration correction coefficient Y a (t), laying a foundation for further evaluation. The wire strength evaluation module outputs the comprehensive stress value Y final (t). By comparing this comprehensive stress value Y final (t) with the set stress threshold L1, the actual tensile strength state of the steel wire can be accurately evaluated.

The invention discloses an AI-based high-voltage switch mechanical transmission chain optimization method, and belongs to the technical field of power equipment. Dynamic characteristic data such as rigid component speed, vibration signals and stress data are collected through a multi-mode sensor network; performing fusion analysis by using a CNN-LSTM hybrid model, and predicting a motion track, speed-time characteristics and transient stress of a key node of a transmission chain; a multi-objective optimization engine fusing a genetic algorithm and reinforcement learning is used to optimize geometric parameters and material selection; generating a test sequence covering the extreme working condition of the power grid to verify the performance; finally, a design-manufacturing-test-operation and maintenance data link is broken through by means of a digital twinning technology, and full-life-cycle closed-loop iterative optimization is achieved. The design and working condition matching precision is improved, the test and real working condition matching degree is improved, key node stress concentration is reduced, the material service life is prolonged, and the equipment full-life-cycle operation and maintenance cost is reduced.