2484 results about "Thermal coupling" patented technology

The invention relates to a temperature control method, device and equipment of semiconductor equipment and a storage medium. The method comprises the following steps: performing finite element mesh division and modal coordinate transformation on a plurality of temperature control areas of semiconductor equipment to obtain a temperature control area dynamic model; collecting measurement data of a temperature sensor and performing time-frequency domain transformation to generate a temperature prediction data sequence; gaussian mixture modeling is carried out to obtain prior distribution, and temperature parameter probability distribution is obtained; performing sub-domain division on the temperature control range to obtain a temperature inter-domain feature mapping matrix; and a temperature interval thermal coupling coefficient matrix is calculated based on the temperature control area dynamic model, a temperature control objective function is constructed in combination with the temperature prediction data sequence and the temperature inter-domain feature mapping matrix, and a temperature control quantity sequence is solved by adopting a model prediction control algorithm. According to the invention, the accuracy and dynamic response speed of temperature control are improved, and the stability of temperature control and the energy utilization efficiency are ensured.

The invention discloses a wind-light-hydrogen multi-energy complementary system cooperative operation optimization and comprehensive benefit evaluation method, which relates to the technical field of electric energy storage, and comprises the following steps: constructing a hybrid power flow model containing electricity, hydrogen and heat coupling, taking whole life cycle cost and new energy consumption as double targets, introducing grid-connected and off-grid risk constraints, and optimizing equipment capacity configuration; a scheduling baseline and an intra-day dynamic correction strategy are formulated in the day-ahead stage, and hybrid energy storage cooperative control is combined to improve the response speed and flexibility of the system to wind and light fluctuation; a peak regulation and frequency modulation mode is switched according to the power grid state, a power response model is established, fluctuation is stabilized through hydrogen energy storage, the stability of the power grid is enhanced, and auxiliary service benefits are created; the performance of the system is evaluated from the three dimensions of efficiency, economy and interactivity, dynamic weight and Monte Carlo simulation optimization are utilized, system parameters are continuously optimized through a feedback mechanism, and the self-evolution ability is formed. The problem that system instability and economy are difficult to take into account due to wind and light fluctuation is solved.

The invention provides a dynamic method and system for thermal fatigue evaluation of integrated circuit packaging, and relates to the technical field of integrated circuits, and the method comprises the steps: employing a genetic algorithm to determine the arrangement position of a temperature sensor, and collecting a temperature data sequence of a temperature sensor array and the corresponding time information; establishing a thermal-mechanical coupling analysis model comprising a geometric model, a material constitutive relationship and a load boundary, and performing mesh generation on the thermal-mechanical coupling analysis model to obtain a finite element model; based on the finite element model, periodically solving by adopting a nonlinear iterative algorithm to obtain a welding spot stress-strain field data sequence and time information corresponding to the welding spot stress-strain field data sequence, establishing a corrected Coffin-Manson model considering a temperature-stress-time coupling effect, calculating a fatigue damage increment of the welding spot, and accumulating the fatigue damage increment in real time; and performing thermal fatigue state evaluation on the integrated circuit packaging structure according to the change rate of the accumulated fatigue damage value.

The invention relates to the technical field of temperature control, and discloses a temperature error compensation method and system for a multi-heating-section coffee maker, and the method comprises the steps: synchronously collecting the real-time temperature value of each heating section, and calculating a temperature error index; constructing a thermal coupling interference model based on the physical distance between adjacent sections and the heat conduction characteristic of the medium; generating a dynamic decoupling compensation parameter according to the model and the error index (including constructing a symmetric interference matrix, calculating a coupling interference component, applying negative feedback and identifying a main interference component); a decoupling parameter is converted into a power adjustment instruction through a multivariable control algorithm (superposition of basic compensation and decoupling compensation, amplitude limiting and phase compensation); and heating output is updated according to the power instruction, and iterative execution is performed based on the error index change trend until the temperatures of all sections reach steady-state balance. The method can effectively model and compensate thermal coupling interference between sections, improves the efficiency of temperature error compensation, and achieves the quick and stable cooperative temperature control of multiple sections.

A method for implementing nuclear-thermal coupling based on the DeepM&Mnet neural network is disclosed; the proposed nuclear-thermal coupling implementation method comprises the following steps; first construct DeepM&Mnet neural network inclusive of numerical solvers for the material temperature and neutron physics fields; then the DeepM&Mnet neural network is trained by utilizing physics constraints of the numerical solvers for the material temperature and neutron physics fields; finally, the formation of the network loss function is adjusted based on the training results to achieve nuclear-thermal coupling simulation; according to the method, a numerical solver for material temperature and neutron physics fields, or a deep operator network (DeepONet) is applied for fitting a numerical solution process, and a DeepM&Mnet is constructed on the basis.

The invention relates to the technical field of BMS control, and discloses a power battery BMS control temperature equalization method and device, and the method comprises the steps: carrying out the collection and thermodynamic characteristic analysis of the temperature data and heat loss power of N single batteries in a power battery pack, and obtaining the dynamic characteristic parameters of the temperature of the battery pack and a temperature field distribution prediction track; performing estimation compensation on thermal coupling interference and temperature measurement noise among the battery monomers to obtain actual temperature data of each battery monomer; performing battery pack temperature mean value calculation on the actual temperature data of each battery monomer, generating a temperature equalization target track, and performing multi-target optimization solution to obtain a temperature equalization control quantity of each battery monomer; and calculating the target heat dissipation power of each battery monomer, and outputting a regulation and control instruction of a radiator of each battery monomer. According to the invention, through real-time adjustment of the heat dissipation power correction coefficient, reasonable distribution of heat dissipation resources is realized, and the heat dissipation efficiency and the temperature equalization effect are improved.

The invention discloses an inertial microsystem thermal coupling analysis method based on a physical information neural network, and the method comprises the steps: S1, setting material parameters and boundary conditions of an inertial microsystem, and building a thermal coupling analysis model; s2, performing electrothermal coupling analysis to obtain temperature distribution of the inertial microsystem; s3, thermal stress distribution of the microsystem is obtained through thermal-mechanical coupling simulation analysis; s4, predicting a temperature field of the microsystem through the physical information neural network; s5, taking the temperature field as a boundary condition of mechanical simulation of the microsystem to obtain mechanical properties such as stress and strain of the microsystem; and S6, performing mechanical-electric coupling simulation analysis, and analyzing the influence of structural deformation on each parameter in electrical performance. According to the method, the neural network solving precision is improved through the improved adaptive weight strategy, the complete polynomial basis function is combined with the neural network, the state dimension is reduced by introducing the expansion basis function, the calculation cost and time are reduced, accurate prediction of the micro-system multi-moment temperature field is achieved, and the micro-system performance under electric heating power multi-physics field coupling is calculated.

According to the thermal management method and system of the modular power supply, heating elements are identified, temperature sensors are installed to evaluate thermal resistance and thermal capacity under different load conditions, the thermal coupling effect between modules is evaluated, an isolation layer and a thermal bridge are designed to optimize heat flow, load distribution is dynamically adjusted, an intelligent control mechanism is implemented, temperature stability is ensured, and the reliability of the system is improved. An external environment is monitored, a heat dissipation strategy is automatically adjusted to adapt to different conditions, a temperature prediction model is established by using historical data, measures are taken in advance to prevent overheating, and the whole system comprises a temperature monitoring and data analysis module, a thermal coupling effect evaluation and optimization module, an intelligent load distribution and control module and an external environment monitoring and adaptation module. And the temperature prediction and prevention module ensures that the modular power supply can effectively dissipate heat under various working conditions, so that the reliability and efficiency of the system are improved.

The invention relates to the technical field of chip testing, in particular to a chip aging test and analysis method, which comprises the following steps of: constructing an aging parameter matrix containing process deviation, electrical parameters and thermodynamic parameters on the basis of fusion of wafer level and packaged test data, multi-stress cooperative loading is realized through a programmable power supply and a multi-zone temperature control array, transient electric signals, thermal imaging data and leakage current frequency spectrums are acquired in real time, an electrical-thermal coupling coefficient and a process deviation sensitivity factor are extracted in a cross-dimension manner, a non-linear recession model is established, differential aging paths of chip functional blocks are evaluated, and the reliability of the chip functional blocks is improved. And based on the dynamic life prediction model and a fault early warning mechanism, generating and executing an adaptive test optimization strategy to realize early prediction and stress adjustment of multiple failure modes. According to the invention, the efficiency and accuracy of the aging test can be obviously improved, and technical support is provided for high-reliability evaluation of deep submicron and post-mole times of chips.

The invention discloses an inverter intelligent control method based on a self-adaptive algorithm, and relates to the technical field of inverter intelligent control, and the method comprises the steps: multi-source temperature collection and environment recognition, machine learning-based electric-thermal coupling prediction, self-adaptive inverter parameter optimization, and cooperative thermal management and fault diagnosis self-repairing. According to the high-temperature or low-temperature failure risk of the motor and the inverter under the extreme climate, temperature distribution and load information are obtained in real time, the temperature rise trend is predicted in advance, and the current, voltage and modulation strategy of the inverter are actively adjusted, so that safe derating or torque compensation is achieved; multi-sensor cross validation and observer fusion are carried out when sensors drift or devices are aged, stable operation and efficient energy utilization of the system are kept, and the drivability and the whole vehicle reliability in an extreme environment are remarkably improved; in the process, fault diagnosis and self-repairing can be further improved through online model updating, and the durability and economical efficiency of the electric drive system are improved.

The invention belongs to the technical field of thermal circuit model construction, and particularly relates to a high-voltage power cable intermediate connection thermal circuit fault modeling analysis method and device, and the method comprises the steps: building a high-voltage power cable intermediate connection thermal circuit fault circuit model through analyzing a cable intermediate connection temperature inversion principle; the method comprises the following steps: establishing a geometric model for multi-physics field analysis of the intermediate connection of the high-voltage power cable by utilizing Comsol finite element simulation software, setting material parameters of each component, and setting field domain parameters; an electromagnetic field module is added, boundary conditions of electromagnetic field analysis are set, and a cable intermediate connection electromagnetic field simulation model is obtained; adding a solid heat transfer module to obtain a solid temperature field simulation model; obtaining an electromagnetic-thermal coupling model, and solving to obtain the temperature, current and loss of the cable middle connection wire core and the outer surface in different insulation states. According to the method, the cable intermediate connection fault problem can be found and predicted, and the reliability and the safety of the power cable are improved.

The invention provides a control method and system for a surface shape of an optical device, and the method comprises the steps: carrying out the initial grinding and polishing of the optical device, carrying out the real-time detection through a multi-frequency-band stress detector, obtaining the stress distribution and surface wave front data, and obtaining an initial detection result; a phase shift interferometer and a composite laser confocal probe are used to carry out depth surface shape measurement based on the initial detection result, and adaptive finishing is carried out on an abnormal area to obtain a surface shape finishing log; according to the initial detection result and the finishing log, executing step-by-step load irradiation and stress tracking, and collecting surface shape change under photo-thermal coupling to obtain surface shape evolution information; and according to the surface shape evolution information, performing partition dynamic compensation and real-time detection until a surface shape control result meeting requirements is obtained. According to the method, secondary deformation caused by internal stress release is recognized and corrected through combination of multi-frequency-band stress detection and high-precision interference measurement, high-precision control over the surface shape of the optical device is achieved, and the method is suitable for scenes with high requirements for the surface shape of the optical element.

The invention relates to the technical field of power distribution, and discloses a power distribution method and system for a liquid cooling string PCS energy storage converter, and the method comprises the steps: constructing a multi-dimensional state matrix of each energy storage unit in the liquid cooling string PCS energy storage converter; establishing a thermal coupling model among the energy storage units according to the temperature parameters in the multi-dimensional state matrix, and constructing a temperature constraint projection mapping function; constructing a power optimization objective function considering the thermal coupling effect; calculating temperature change caused by disturbance through a thermal coupling model to obtain a temperature sensitive gradient vector; the power distribution weight of each energy storage unit is dynamically adjusted, and when the iteration change value of the power optimization objective function is smaller than a preset threshold value and the thermal coupling model is stable, a target power distribution strategy is output, collaborative optimization of power distribution and temperature control is achieved, the problem of thermal interference between the energy storage units is effectively solved, and the reliability of power distribution and temperature control is improved. And the overall operation efficiency of the liquid cooling string PCS energy storage converter is obviously improved.

The invention discloses a laser-assisted machining path thermal error pre-compensation method, which comprises the following steps of: establishing a force-thermal coupling analysis model for a laser-assisted machining system, accurately calculating the temperature field change and deformation condition of a tool rest structural part in the laser-assisted machining process, and accurately correcting the parameter precision of the force-thermal coupling analysis model through model calibration. Thermal deformation epsilon t of a system tool nose point, a tool placement pose theta and an uncompensated tool path (xt ', zt') are obtained based on model calculation, and a processing tool path (xt, zt) is obtained through pre-compensation tool nose thermal deformation calculation, so that high-precision laser-assisted ultra-precision processing is realized under the condition that a tool rest has a thermal drift error.

The invention discloses a ternary internet-of-things battery management system, particularly relates to the technical field of lithium battery management, realizes lithium battery thermal safety closed-loop management through multi-sensor fusion, and comprises the following steps: deploying a digital sensor array to obtain time-space associated data; constructing a spatio-temporal feature vector including fusion of a local temperature gradient, a neighborhood temperature gradient and a stress coupling ratio; a density clustering algorithm is adopted to dynamically divide spontaneous heating, radiant heat and stress coupling clusters, and cluster boundaries are updated in real time; calculating a dual thermal coupling coefficient based on a clustering result, and eliminating the interference of temperature reading through a dual temperature compensation formula; a three-level alarm mechanism of a radiant heat proportion, a stress coupling degree and a compensation error is established, a side gateway is linked to realize parameter adaptive optimization, and the thermal runaway early warning precision and the structural failure detection rate are improved; strain monitoring resource optimization is realized through physically-driven key point screening and dynamic graph neural network prediction.

The invention provides a performance optimization and regulation method for a high-temperature sintering furnace, and belongs to the technical field of intelligent regulation, and the performance optimization and regulation method comprises the following steps: arranging sensors in each heating area of the high-temperature sintering furnace, and monitoring the heating areas in real time; constructing a heating area operation state database, comparing the collected real-time data with a preset sintering process parameter range, and analyzing to obtain a performance analysis set of each heating area; establishing a three-dimensional heat conduction model, simulating heat flow distribution of each heating area under different heating powers and temperature settings, determining a thermal coupling effect of each heating area in different stages, and determining a heat transfer coefficient between adjacent heating areas; and an initial strategy of the high-temperature sintering furnace is determined, the initial strategy is optimized based on the auxiliary parameters of all the heating areas, and all the heating areas of the high-temperature sintering furnace are regulated and controlled according to the optimization strategy. The problems of inaccurate temperature control, single parameter analysis, insufficient thermal coupling effect processing and the like in the traditional regulation and control technology are effectively solved.

The invention relates to the technical field of power equipment state monitoring, in particular to a lightning arrester state monitoring method, system and equipment based on multi-physics field coupling and a storage medium. Acquiring current-voltage characteristic parameters, temperature distribution data and mechanical stress data of the lightning arrester, performing electro-thermal-mechanical coupling analysis based on multi-physical field monitoring data, identifying overlapping positions of an electric field distortion area, a temperature abnormal area and a stress concentration area, and determining the overlapping positions as a degradation key area; establishing a correlation response relationship between the leakage current and the temperature and a transfer response relationship between the temperature and the mechanical stress for the deteriorated key area; on the basis of the leakage current change trend of the degradation key area and the coupling influence of the superimposed temperature field and stress field, a degradation feature fusion factor is constructed, the evolution law of the degradation feature fusion factor in the time sequence is analyzed, and the degradation threshold value under the multi-field synergistic effect is determined in combination with the electric-thermal coupling acceleration effect and the thermal-mechanical coupling weakening effect.

The invention provides a high-speed parallel paired wire with a heat dissipation function, which comprises two wire cores, a shielding layer, a heat dissipation layer and a sheath layer, and is characterized in that the two wire cores are arranged in parallel along a first direction; the shielding layer wraps the peripheries of the two wire cores; the heat dissipation layer wraps the periphery of the shielding layer; the sheath layer wraps the periphery of the heat dissipation layer; wherein the heat dissipation layer comprises a cold end layer, an electric refrigeration main body layer and a hot end layer which are arranged in sequence, the cold end layer is thermally coupled with the shielding layer, the hot end layer is thermally coupled with the sheath layer, and the electric refrigeration main body layer is configured to form a temperature difference between the cold end layer and the hot end layer after being electrified so as to transfer heat of the shielding layer to the sheath layer.

The invention discloses a method and device for predicting the service life of a crystallizer in the continuous casting process and a storage medium. The method comprises the steps that a crystallizer three-dimensional finite element model and a casting blank three-dimensional finite element model are constructed; performing back calculation on the to-be-predicted crystallizer to obtain the heat flow density of the crystallizer, and determining the heat flow density of the casting blank; performing thermal coupling analysis on the three-dimensional finite element model of the crystallizer by taking the heat flux density of the crystallizer as a boundary condition of the crystallizer to obtain a crystallizer temperature field and a crystallizer stress-strain field; thermal coupling analysis is conducted on the casting blank three-dimensional finite element model on the basis of casting blank boundary conditions, and a casting blank temperature field and a casting blank stress-strain field are obtained; based on the crystallizer temperature field data, the crystallizer stress-strain field, the casting blank temperature field, the casting blank stress-strain field, the crystallizer three-dimensional finite element model and the casting blank three-dimensional finite element model, friction wear simulation is conducted between the crystallizer and the casting blank through a friction wear model; and determining the service life of the crystallizer to be predicted based on the frictional wear result.

The invention provides a thermal-mechanical coupling topological optimization method for a thin-wall non-uniform filling structure, and the method comprises the steps: 1, building a finite element model according to design requirements, and determining a non-design domain and a design domain; 2, initializing a design variable, and then obtaining a local volume fraction polymerization field through one-step filtering; 3, describing the distribution of a material in a design domain; 4, thermal coupling finite element calculation is carried out, and a structural displacement field U is solved; step 5, performing corresponding sensitivity analysis; 6, submitting the sensitivity to a moving asymptote algorithm solver to update an overall topology field and a dot matrix density field; and step 7, checking whether an iteration stop condition is met or not. According to the invention, the lightweight design of the power battery module bracket structure facing the thermal elasticity problem is realized; according to the power battery module support with the thin-wall non-uniform filling structure characteristic, the structural rigidity is improved, and meanwhile, the good heat dissipation performance is shown.

The invention belongs to the technical field of connectors and discloses a design method for a low-loss cable connector without resonance points, comprising: designing a spiral gradient groove structure on the surface of an inner conductor based on the impedance continuity principle, establishing a composite gradient impedance theoretical model of the connector, constructing a dielectric constant gradient distribution model of a double insulating layer, and setting a transition function between an inner layer and an outer layer; solving the S parameters and electric field distribution of the connector through electromagnetic-thermal coupling finite element simulation, optimizing the spiral angle θ and the gradient index n, establishing a quantitative model of the surface roughness of the conductor and high-frequency loss, and determining a threshold range of the surface roughness through calculation of the quantitative model; performing global optimization of structural parameters based on a multi-objective genetic algorithm, outputting a theoretical design parameter set and a report collection of performance verification, eliminating the resonance point problem of traditional connectors, and providing excellent low-loss performance in the full frequency band, which is particularly suitable for high-frequency and high-power transmission environments.

The invention provides a cross-seasonal heat storage coupling solar ground source heat pump combined heating system. The cross-seasonal heat storage coupling solar ground source heat pump combined heating system mainly comprises a solar heat collector, a valve, a heat storage water tank, a heating tail end, a buried phase change heat storage water tank, a buried pipe and a heat pump. Solar radiation heat in non-heating seasons is collected and stored through cross-seasonal heat storage, and the stored heat is extracted in the heating period in winter and is used for heating a building together with a solar ground source heat pump combined heating system. The system has the beneficial effects that the system efficiency is improved, and the use of thermal insulation materials is reduced, so that the cost is reduced; the buried pipe absorbs and inhibits heat diffusion of the heat storage water tank, heat balance of a soil temperature field around the buried phase change heat storage water tank is guaranteed, and efficient operation of a heat pump unit is maintained. The invention has six control methods: solar energy-soil heat storage, solar energy direct heating, solar energy coupling buried phase change heat storage water tank heating, buried phase change heat storage water tank direct heating, solar energy ground source heat pump combined heating and ground source heat pump independent heating.

The invention relates to the technical field of integrated energy micro-grid scheduling optimization, and discloses an improved TD3 algorithm-based electricity-hydrogen-heat integrated energy micro-grid optimization scheduling method, which aims at minimizing the sum of the environmental cost, the equipment life loss cost and the large power grid interaction cost, and uses the improved TD3 algorithm to optimize the power-hydrogen-heat integrated energy micro-grid scheduling optimization. The optimization scheduling strategy of the electricity-hydrogen-heat comprehensive energy microgrid system is researched, a hydrogen energy storage mathematical model is constructed, the electrothermal coupling characteristic between the hydrogen energy storage system and the microgrid is explored, the optimization scheduling process of the microgrid is converted into a Markov decision process, and an experience playback mechanism is introduced to improve the algorithm performance. According to the method, the environmental friendliness and the scheduling strategy solving speed of the micro-grid energy storage system are improved, and the solving speed of the optimal scheduling strategy is accelerated by using the improved priority experience playback reinforcement learning algorithm.

The invention discloses a surface shape-optical error compensation method and device for a glass optical element mold pressing mold. The method comprises the following steps: determining high-temperature viscoelasticity parameters of glass by using a creep test method based on constant-pressure stress micro-deformation low-friction disturbance axial compression; an initial glass optical element contour curve equation is constructed to determine initial mold pressing mold parameters, and then a glass preform simulation model under the force-heat coupling effect is established; simulating the compression molding process by using the simulation prediction model to obtain a simulated glass optical element, and predicting to obtain a predicted surface shape error and a predicted optical error of the simulated glass optical element; and compensating the initial mold pressing mold parameters based on the predicted surface shape error and the predicted optical error so as to manufacture a compensated mold pressing mold based on the compensated mold pressing mold parameters. According to the method, surface shape-optical error compensation can be carried out on parameters of the mold pressing mold, and the compensated mold pressing mold can be subjected to one-time mold pressing forming to obtain a glass optical element with high precision and high optical performance.

A heat transfer device may be used to provide a thermal conduit from heat generating components mounted on transversely oriented circuit boards. The heat transfer device generally includes a base portion for supporting and thermally coupling with at least one heat generating component on a main circuit board and a transverse portion for supporting and thermally coupling with at least one heat generating component on a daughter circuit board that is oriented transverse to the main circuit board. The base and transverse portions may be made of a thermally conductive material with raised pedestals providing the thermal coupling with the heat generating components. The transverse portion of the heat transfer device may also be designed to facilitate connecting the daughter circuit board to the main circuit board. The heat transfer device may be used in an opto-electronic communications module, such as a broadband digital access (BDA) module used in a hybrid fiber-coaxial (HFC) network.

The invention relates to the technical field of electric digital data processing, in particular to a display process temperature management optimization system which comprises a data acquisition module, a dynamic modeling module, a cooperative compensation module and an early warning module. The data acquisition module acquires temperature data of a heating area through a multi-type temperature sensor array, and generates a temperature field matrix with a confidence label through multi-source verification; the dynamic modeling module receives the matrix, operates a plurality of machine learning algorithms in parallel to generate a thermal coupling strength distribution diagram, and outputs a region coupling coefficient and a confidence coefficient thermodynamic diagram; the cooperative compensation module calls knowledge base strategies in a layered mode according to the thermodynamic diagram and feeds back early warning signals when abnormity is detected. According to the system, a cross-module closed-loop control mechanism is formed through confidence label driving algorithm weight distribution, confidence thermodynamic diagram control strategy priority, abnormal signal triggering model reconstruction and knowledge base updating, and millisecond-level cooperative suppression of the thermal crosstalk effect of multiple heating areas is achieved.

The invention discloses an alloy functional material fatigue performance prediction model building method, and relates to the technical field of material scientificity, the method comprises the following steps: installing a sensor group on an alloy surface, using an instrument to collect alloy performance influence data, and transmitting the data to a data processor through a wireless network for preprocessing, data storage and analysis; the method comprises the following steps: constructing a load performance prediction model, calculating a thermal coupling fatigue damage coefficient and a multi-axial load fatigue damage coefficient, summarizing and calculating to obtain a composite fatigue damage coefficient, and carrying out preliminary evaluation on the composite fatigue damage coefficient and a safety fatigue damage threshold value. The environment corrosion influence coefficient is calculated by combining the corrosion influence data set and the precipitation object integral number, corrosion degree prediction risk assessment is carried out on the environment corrosion influence coefficient and the safety fatigue damage threshold value, finally, the comprehensive fatigue damage coefficient is obtained, comprehensive corrosion degree assessment and fatigue damage prediction are carried out, real-time early warning and optimization suggestions are provided, and the safety fatigue damage risk is improved. The safe use of the alloy material is ensured; the service life is prolonged.

The invention discloses a soft start control method for intelligent temperature control of a glue injection mold, and particularly relates to the technical field of glue injection molds. Initial temperatures of a plurality of heating areas of the mold are collected, and a temperature distribution model is constructed; calculating a thermal inertia score value based on the thermal response characteristic and the thermal capacity parameter of each region; predicting temperature rise rates of different areas by using the thermal inertia score value, the thermal coupling degree abnormal value and the historical control deviation frequency, and setting differentiated soft start amplitude limiting parameters; temperature feedback is collected in real time in the heating process, a temperature rise rate error sequence is constructed, and the future deviation risk is predicted through the dynamic Bayesian network; when the risk value exceeds the limit, the PWM duty ratio or the conduction angle of the heating area is dynamically corrected, and power output self-adaptive adjustment is achieved; the method has the advantages of being high in predictability, accurate in response and intelligent in control, and is suitable for high-precision heating control application of the complex glue injection mold.

The invention relates to the technical field of fault diagnosis, in particular to a fault self-diagnosis system and method for a high and low temperature aging test chamber of a storage chip and computer equipment. The temperature control abnormal index is obtained through the data of the temperature control system sensor, early warning can be performed when the temperature control system has abnormal fluctuation, the performance evaluation basis of the air circulation system is provided by the air system efficiency coefficient, the heating efficiency and the refrigeration coefficient are obtained through the data of the heating and refrigerating system sensor, and the performance of the heating and refrigerating system is evaluated. An electrical stability index is obtained through data of a test system sensor, the operation stability of an electrical system is evaluated, the stability of the electrical system is detected in time, and a fault probability index is obtained through a system entropy increase rate, the electrical stability index, a thermal coupling factor, a wind system efficiency coefficient and a temperature control abnormal index. Therefore, the stability and the reliability of the equipment can be improved, the maintenance cost can be reduced, the use efficiency of the equipment is improved, and the accuracy and the safety of test results are ensured.

The invention discloses a CPLD-driven IGBT short-circuit current dynamic monitoring method and system, and relates to the technical field of power electronics, and the method comprises the specific steps of S100 real-time data acquisition, S200 dynamic threshold calculation, S300 short-circuit state judgment, S400 rapid protection execution, and S500 fault data recording and uploading. Accurate and prospective judgment of the short circuit state of the IGBT is achieved, two stress parameters including the direct-current bus voltage and the junction temperature serve as independent variables, when the bus voltage rises, the voltage stress borne by the IGBT in the turn-off period is increased, meanwhile, the current peak at the short circuit moment is more remarkable, early warning is conducted in advance by dynamically lowering the threshold value, and therefore the short circuit state of the IGBT is accurately judged. According to the mechanism, the monitoring system does not simply respond to the occurred overcurrent, but can pre-judge the safety boundary of the device under the current working condition, so that intervention is implemented before the current really reaches a dangerous peak value, and a protection blind area under a severe working condition is effectively avoided.