216 results about "Transient temperature" patented technology

The invention relates to wide-range multi-component sensor calibration equipment and a wide-range multi-component sensor calibration method. The method comprises the following steps: firstly, checking equipment parts and setting a target temperature range and a compensation model of each temperature interval; then, dynamic temperature control is started, jig deformation is monitored in real time, a transient temperature gradient suppression technology is applied, multi-physical-quantity calibration is executed, and a compensation measurement value is output; then setting multi-environment coupling calibration test conditions to simulate actual working conditions, and monitoring and recording calibration data of each physical quantity; and finally, calculating a calibration error by combining a calibration result and a reference standard value. According to the process, by precisely setting parameters and combining dynamic control, real-time monitoring and multi-physical-quantity calibration, the transient temperature gradient influence is effectively inhibited, and the measurement precision of the sensor in a complex environment is ensured; the temperature control performance is improved through the micro soaking film and the intelligent temperature control strategy, the actual working condition is simulated through multi-environment coupling testing, the accuracy and reliability of the calibration result are remarkably improved through compensation and error calculation, and guarantee is provided for precise application of the sensor.

The invention discloses a PID temperature control system and method for a semiconductor etching machine, and relates to the field of temperature control, and the system comprises a coupling relation construction module, a temperature sensing confidence module, a decoupling compensation module, a coupling relation dynamic updating module, and a transient temperature change control module. According to the invention, by constructing the coupling relation matrix and the inverse matrix thereof, decoupling control of multi-area temperature control is realized, cross interference is effectively suppressed, and the temperature control precision is improved. And a multi-point temperature measurement fusion and anti-interference algorithm is introduced, so that the temperature measurement accuracy and the system robustness are enhanced. A response residual vector is associated with a control vector, and a coupling matrix is dynamically optimized, so that the system has self-learning and model self-adaption capabilities and adapts to working condition changes. And a transient temperature change quick response mechanism is set, so that the control priority can be improved and the PID parameters can be adjusted when the temperature changes suddenly, the response speed and the control stability of the system to abnormal temperature change are remarkably improved, and the thermal uniformity and the process consistency in the etching process are ensured.

The invention discloses a reclosing locking method and system based on winding hot-spot temperature fitting, and relates to the technical field of power transformer dynamic stability assessment, and the method comprises the steps: determining a target transformer, collecting parameters, building a winding current calculation model, calculating steady-state and short-circuit current waveforms, and carrying out the winding temperature rise test of the transformer, the method comprises the following steps: measuring a steady-state temperature rise value, constructing and correcting an electromagnetic heat flow coupling model, generating steady-state and transient-state temperature field data of a winding, constructing a target function of a winding hot-spot temperature, fitting simulation data by utilizing an optimization algorithm, obtaining a fitting function, calculating a winding stress value under a short-circuit working condition in real time, and comparing the winding stress value with a dynamically adjusted stress limit value, so as to obtain a winding stress value. Alarm and locking reclosing are triggered according to the result, and intelligent protection of the transformer is achieved. According to the invention, through accurate parameter acquisition, model establishment, temperature field simulation, hot-spot temperature fitting and stress calculation, real-time monitoring and intelligent protection of the transformer winding under the short-circuit working condition are realized.

The invention discloses a shaft operation state intelligent prediction method based on a hybrid deep learning framework, and belongs to the field of petroleum engineering oil-gas field development engineering, and the method comprises the following steps: building a geological sequestration shaft transient temperature-pressure coupling mathematical model, and carrying out the numerical solution; constructing a double sequence feature database covering CO2 injection and leakage working conditions; adopting a parallel architecture to process the double sequence features to construct an improved double attention network; the method comprises the following steps: establishing a hybrid deep learning framework DT-DANet by coupling an improved double attention network and a time fusion Transform; and carrying out collaborative optimization training on the hybrid deep learning framework by adopting a composite loss function, wherein the output of the framework is a wellbore pressure profile, a temperature profile and phase state distribution under different time steps. According to the method, high-precision prediction of shaft multi-parameter dynamic evolution in the CO2 geological storage process is realized.

The invention discloses a method for quickly calculating transient thermal stress of a ceramic radome along a flight path, which comprises the following steps of: determining calculation input which comprises an aerodynamic thermal environment of the ceramic radome and a to-be-evaluated structure scheme; setting a circumferential discrete strategy of the ceramic radome to determine a plurality of meridian planes of the ceramic radome; constructing an aerodynamic thermal environment interpolation model, and determining a meridian plane where aerodynamic heating of the ceramic antenna housing is most strict in the whole flight process; constructing a two-dimensional feature structure model for transient heat transfer and thermal stress analysis of the ceramic radome, and determining an outer contour line of the two-dimensional feature structure model; constructing an axial thermal response calculation interval of the ceramic radome and performing interpolation calculation to obtain aerodynamic thermal environment parameters of the outer contour line at each flight moment; performing heat transfer calculation grid division on the two-dimensional feature structure model, and calculating structure transient temperature distribution of the two-dimensional feature structure model; calculating the temperature gradient of the structure based on the transient temperature distribution of the structure; and calculating transient thermal stress distribution of the ceramic radome by using the structural temperature gradient.

The invention discloses a synchronous reluctance motor magnetothermal coupling rapid calculation method based on a dynamic thermal network, and belongs to the technical field of motors. Comprising the following steps: calculating motor loss by adopting a finite element electromagnetic field model, and calculating a convective heat transfer coefficient by adopting a finite element fluid field model; constructing a three-dimensional thermal network comprising conduction, contact, convection thermal resistance, thermal capacity and a heat source, and solving to obtain an average temperature and a boundary temperature of component nodes; constructing a sub-domain temperature field calculation model of the heat source component, and calculating temperature distribution in combination with boundary conditions; introducing average temperature compensation thermal resistance and carrying out dynamic correction; carrying out magnetothermal coupling iteration, and updating the loss and the temperature until the precision is met; and introducing maximum temperature compensation thermal resistance into the thermal network, and solving to obtain an average temperature and a maximum temperature transient temperature rise curve of each component. Based on the technical means of combining electromagnetic field and fluid field finite element simulation with thermal network and subdomain temperature field calculation, efficient calculation of magnetothermal coupling of the synchronous reluctance motor is achieved.

The invention provides an automatic chemical reaction monitoring device and method. An automatic chemical reaction monitoring device comprises a chemical reaction unit, a temperature and pressure monitoring unit, a data processing unit, a video recording control unit and a synchronous clock unit, data are collected in real time through a high-precision temperature and pressure sensor, and a dynamic threshold value calculation module generates a self-adaptive threshold value based on a reference value and data fluctuation characteristics; the temperature and pressure combined trigger module identifies the jump characteristics and triggers video recording, and the synchronous clock unit realizes millisecond-level time synchronization of multi-source data. The method comprises the steps of reagent injection, temperature and pressure monitoring, dynamic threshold calculation, jump identification triggering, data synchronous recording and the like. The embodiment shows that the device can accurately capture transient temperature and pressure changes of the chemical reaction, the anti-interference capacity is remarkably improved compared with traditional fixed threshold triggering, and the device is suitable for chemical reaction mechanism research and industrial process control needing to monitor temperature and pressure coupling changes in real time.

The invention provides a temperature rise determination method for gas insulated power transmission equipment, and the method comprises the steps: obtaining a two-dimensional multi-section model corresponding to the gas insulated power transmission equipment composed of a plurality of standard sections based on the structure parameters of the gas insulated power transmission equipment; based on the two-dimensional multi-section model, establishing a two-dimensional multi-section field-circuit coupling model through a Kirchhoff voltage and current equation and an electromagnetic field control equation; through the two-dimensional multi-section field-circuit coupling model, eddy current field distribution and ohmic loss of the gas-insulated power transmission equipment can be rapidly determined. Taking the ohmic loss as heat source excitation of a heat flow coupling field control equation, and solving through a finite volume method to obtain radial temperature rise in the gas insulated power transmission equipment; evaluating the thermal stability of the gas-insulated power transmission equipment by combining the temperature rise of the interior of the gas-insulated power transmission equipment along the axial direction under different working conditions; according to the technical scheme, the accuracy and efficiency of transient temperature rise analysis of the gas insulated power transmission equipment can be effectively improved.

The invention discloses a temperature control system and method of a micro-fluidic chip, and relates to the technical field of micro-fluidic temperature control, and the method comprises the following steps: in the manufacturing process of the micro-fluidic chip, embedding topological insulator nanowires into a substrate in a directional arrangement mode to form a pre-locking array, and meanwhile, generating an anisotropic heat conduction network under the continuous action of a sound-magnetic field, a topological vortex invariant is calculated, and a heat conduction weight coefficient is generated; arranging a fluorescent layer on the surface of a micro-reaction cavity of the anisotropic heat conduction network, collecting a fluorescence lifetime attenuation curve in real time, and calculating a transient temperature value and a temperature change rate according to a heat conduction constraint variation model and a heat conduction weight system; nonlinear feed-forward compensation power is calculated according to the transient temperature value and the temperature change rate, feedback compensation power is calculated in combination with a deviation field of the target temperature and the real-time temperature, and a compensation power instruction is generated; according to the method, the thermal pilot frequency domain filtering function is constructed through the compensation power instruction, so that the uniformity and response speed of thermal response are improved.

The invention belongs to the field of data science and machine learning, and constructs a prediction system fusing a convolutional neural network (CNN), a long-short-term memory network (LSTM), a seasonal autoregressive integral moving average model (SARIMAX) and a data-driven modeling method in order to solve the problem of battery temperature prediction. The system focuses on analyzing transient temperature change during fast charging of the battery and a temperature evolution rule caused by aging, an exclusive data feature extraction and fusion strategy is formulated for different working conditions, and model parameters are optimized. Key performance indexes such as prediction accuracy, model robustness and working condition adaptability are remarkably improved, and the method has a wide application prospect and an important practical value in thermal management of the battery of the electric vehicle.

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 invention discloses an experimental device and method for positioning and artificially manufacturing fractures in a borehole and expanding the fractures. The experimental device comprises a tubular column carrier unit, and a positioning anchoring system, a mechanical fracture forming pretreatment system, a thermal shock fracturing system and a control terminal which are integrated on the tubular column carrier unit. The positioning anchoring system is used for detecting the well wall and locking the target depth and direction; the mechanical crack-making pretreatment system is used for cutting at the locking position to form an initial physical gap; the thermal shock fracturing system presets a thermal stress field through a heating assembly, and utilizes a cold shock assembly to spray low-temperature fluid to generate transient temperature difference stress to induce cracks to crack from notches and expand. And the control terminal controls the action time sequence of each system. According to the method, through the mode of mechanical drilling and thermal coupling, fixed-point and directional accurate fracture forming in a borehole is achieved, the generated fracture shape is close to that of a natural fracture, and the problems that a traditional method is inaccurate in positioning, uncontrollable in shape and large in damage to the whole sample are solved.

The invention relates to the technical field of refrigeration air conditioners and automatic control, in particular to a fixed frequency compressor group control energy regulation system based on outdoor temperature and humidity coupling, which comprises a data acquisition unit, a reheating demand judgment unit and an anti-icing protection control unit, a data acquisition unit acquires outdoor temperature and humidity coupling data and return air temperature data of all compressors through an outdoor temperature and humidity sensor and a return air temperature sensor, and a reheating demand judgment unit implements temperature feedforward control based on outdoor temperature and humidity and sets an adjustable limit level to constrain the input proportion of the compressors. When the compressors are fully input and the humidity exceeds the standard, the moisture content of indoor, target and outdoor air is calculated, the reheating requirement is judged by combining the transient temperature when the integral speed of the cooling and dehumidification PID controller and the adjustable limiting level and the floating gear are adjusted according to the moisture content, and the anti-icing protection control unit periodically monitors the return air temperature and takes measures. The problems that temperature and humidity control of a traditional system is not coordinated, and anti-icing protection is not accurate are solved.

The invention relates to the technical field of temperature early warning, and discloses a JP cabinet bus connection point temperature early warning method and device, and the method comprises the steps: collecting the voltage drop time sequence data of a JP cabinet bus connection point, and carrying out the wavelet packet decomposition of the voltage drop time sequence data, and obtaining a conduction characteristic coefficient; performing contact resistance prediction based on the conduction characteristic coefficient to obtain a contact resistance value, and calculating a transient temperature rise characteristic value based on the contact resistance value; a temperature early warning threshold value is calculated based on the transient temperature rise characteristic value and the current change rate, and a temperature early warning signal is generated based on the temperature early warning threshold value, the change characteristics of the contact interface conduction state on different time scales can be effectively captured, and compared with a simple time domain analysis method, the time domain analysis method has the advantage that the accuracy is high. The identification precision and the anti-interference capability of the weak signal change are improved, the problem of insufficient adaptability of a fixed threshold value method under a dynamic load condition is effectively solved, and the accuracy of temperature early warning is further improved.

The invention relates to the technical field of power supply or power distribution circuit devices of power systems, and discloses a power distribution loop self-reset state control system based on thermal parameter feedback, which comprises a thermal parameter acquisition module used for acquiring a physical heat dissipation temperature sequence of a power supply node after tripping; the historical load mapping module is used for calculating a closing transient temperature rise estimated value according to the load characteristic data within 24 hours before tripping and generating a dynamic correction value of a heat dissipation slope judgment boundary; the logic arbitration module is used for calculating the deviation degree of the heat dissipation slope of the double-window sampling sequence and judging whether the deviation degree is converged into a heat dissipation slope judgment boundary updated according to the dynamic correction amount or not; according to the invention, through a closed loop arbitration mechanism of a heat dissipation characteristic slope, a physical heat dissipation steady state inflection point is identified, a maloperation risk caused by environment thermal resistance drift and closing inrush current impact is eliminated, and power supply continuity is guaranteed.

The invention belongs to the technical field of thermal equipment monitoring, and particularly relates to a boiler wall surface stress monitoring system and method based on reverse heat conduction calculation. The problem that a traditional monitoring method is slow in response and large in error under the rapid variable working condition is solved. Boiler wall surface temperature data are collected in real time through a high dynamic response temperature sensor array, and after smooth processing is conducted through a Savitzky-Golay filter, a three-dimensional transient temperature field is reconstructed through a finite volume method and a space propulsion method. And further, thermal stress and pressure stress are calculated in combination with material parameters, and equivalent stress is obtained by adopting a von-Mises criterion. The system realizes a grading early warning mechanism, can automatically adjust boiler operation parameters according to the stress overrun degree, forms a monitoring-evaluation-control closed loop, and provides technical guarantee for safe operation of the boiler.

The invention relates to the technical field of detection, in particular to a lithium battery tab welding quality detection method and device.The method comprises the steps that non-contact electromagnetic excitation is applied to a lithium battery tab welding area, vibration signals and temperature signals are collected, an original vibration data set is mapped to a continuous space on the surface of a tab, and a curvature distribution diagram is generated; converting the curvature distribution map into a feature point set comprising a cluster structure, calculating a centroid coordinate and divergence of each cluster in the cluster structure, and generating a defect feature vector; constructing a defect type model according to the defect feature vector, and combining the transient temperature set with an output result of the defect type model to generate a heat effect feature vector; and performing multi-layer perceptron neural network processing on the heat effect feature vector to generate an evaluation result including the quality grade of the welding point. Complex defect types can be distinguished, the quality grade can be accurately evaluated, and the defects that an existing machine learning method is insufficient in feature extraction and low in classification precision are overcome.

The invention relates to the technical field of laser manufacturing and intelligent manufacturing, in particular to a residual stress and deformation prediction method for a laser directional energy deposition TA15 alloy component, and the method comprises the following steps: constructing a thermal-metallurgical-mechanical multi-physics field coupling model; firstly, a transient temperature field model comprehensively considering heat conduction, convection and radiation effects in the laser directional energy deposition process is established based on the Fourier heat conduction theory; then, a metallurgical model is established based on the phase change principle, finally, a multi-stage phase change kinetic model is established, and diffusion control type and non-diffusion type transformation mechanisms are considered at the same time; a phase change kinetic model is introduced into a sequentially coupled thermal-mechanical framework, so that multi-scale integrated prediction from microstructure evolution to macroscopic stress distribution is realized; and a theoretical basis is provided for microstructure regulation and control and residual stress optimization of the TA15 alloy LDED process.

The invention belongs to the technical field of power semiconductor devices. The invention provides a SiC MOSFET surge current transient electrothermal coupling failure modeling method. A real packaging three-dimensional structure model is established, and material parameters are defined; dividing grids, constructing a current and solid heat transfer module, applying surge waveform data and realizing real-time coupling; carrying out transient solution to obtain temperature data, extracting a hot spot area and comparing thermodynamic critical parameters of the material; and establishing a multi-class failure mechanism model, and outputting a failure prediction result and reliability evaluation. The method is high in structural reduction degree, transient temperature rise and hot spot distribution can be accurately simulated, the problems that modeling is not accurate, transient electrothermal coupling analysis is lacked and a real failure mode cannot be reflected in the prior art are solved, the failure position, mode and threshold value can be accurately predicted, the method is suitable for reliability evaluation under the multi-surge condition, and the method is suitable for popularization and application. And the method has engineering application value and research significance.

The invention belongs to the technical field of high-efficiency rectifier thermal management, and provides a SiC device-based high-efficiency rectifier thermal management method, which comprises the following steps of: acquiring temperature distribution of a SiC device in a high-efficiency rectifier under a full-load condition, and acquiring a transient temperature rise area and a steady temperature rise area by analyzing a temperature change range; the global voltage and the local voltage of the SiC device are collected, whether a global avalanche phenomenon occurs or not is judged by comparing the change rate of the global voltage with a typical value, if yes, a thermal-electric coupling coefficient is calculated through the local voltage and the temperature, an avalanche breakdown source candidate grid area is extracted, and a local avalanche origin point is positioned; determining the specific position of an avalanche breakdown origin point; and outputting a space overlapping degree according to the thermal-electric coupling coefficient and the space overlapping proportion, judging whether transient temperature rise is caused by an avalanche breakdown phenomenon, and if the transient temperature rise is caused by avalanche breakdown, triggering avalanche breakdown protection optimization.

The invention discloses a test method for a strain clamp, and the method comprises the steps: carrying out the crimping and drainage plate assembly of the strain clamp, and fastening a bolt on a drainage plate to a preset initial torque value through a digital display torque wrench; measuring the contact resistance of a drainage plate of the strain clamp; arranging a T-shaped thermocouple at a monitoring point position of the strain clamp; sequentially applying currents with different percent calculated current-carrying capacities to the strain clamp through a large current generator, and recording transient temperature rise data corresponding to each monitoring point position; and measuring the contact resistance and transient temperature rise data under different bolt torques under the current of each percentage calculation current-carrying capacity. According to the invention, the actual working state of the strain clamp under different drainage plate assembly conditions can be simulated, the bolt torque of the strain clamp is taken as an independent variable, the contact resistance between the drainage plates under different torques is measured, and the overall temperature distribution of the clamp is measured through the temperature measurement probe, so that the test accuracy is improved. Therefore, real-time measurement of three kinds of data of bolt torque, contact resistance and wire clamp temperature rise is realized.

The invention relates to the technical field of interface thermal resistance calculation, and discloses a method for measuring and calculating interface thermal resistance based on an infrared imaging technology, which comprises the following steps: fixing and aligning paired upper and lower test pieces to form a to-be-measured contact interface, respectively preheating to a preset initial temperature difference and stabilizing, and monitoring and recording temperature change and test piece thermophysical parameters; enabling the test piece to be in contact, starting infrared imaging equipment to record full-field transient temperature data in a temperature equalization process, and forming a three-dimensional data matrix; building a thermal resistance correlation model, constructing a heat conduction equation in combination with the parameters to solve a simulated temperature field, and inverting related heat conduction coefficients by using a conjugate gradient method; and calculating microscopic and total contact thermal resistance according to the inversion coefficient and the geometric parameters, and deducing macroscopic thermal resistance. According to the method, non-intrusive transient infrared temperature measurement is combined with a reverse heat transfer algorithm, so that the microscopic thermal resistance, the macroscopic thermal resistance and the total contact thermal resistance are accurately distinguished and quantified.

The invention discloses an extra-high voltage transformer bushing transient temperature rise rapid prediction method, which comprises the steps of constructing a simulation model of an extra-high voltage transformer bushing, and simulating and extracting global node temperatures and corresponding working condition parameters of a bushing profile at multiple moments to form a data set; selecting global node temperature to perform orthogonal decomposition, and selecting first r-order modals to construct a modal matrix according to cumulative energy proportion truncation; projecting global node temperature in the data set to a modal space according to a modal matrix to obtain a modal coefficient vector as an output sequence, and performing sliding window on working condition parameters in the data set to form an input sequence; constructing a long-short-term memory network model, optimizing network hyper-parameters of the long-short-term memory network model, and training the model by adopting an input sequence and an output sequence to obtain a time sequence mapping model; and acquiring working condition parameters of the extra-high voltage transformer bushing in a to-be-measured time period, inputting the working condition parameters into the time sequence mapping model, predicting a modal vector at a future moment, and reconstructing transient temperature field distribution of the extra-high voltage transformer bushing in combination with inversion of a modal matrix.

The invention relates to a silicone rubber insulator laser cleaning parameter optimization method based on multi-physics field simulation. The method comprises the following steps that 1, a multi-physics field coupling finite element model of a pulse laser cleaning silicone rubber surface aging layer is established; step 2, calculating a temperature field evolution curve and a thermal stress field evolution curve of the key area of the aging layer under different laser power parameters based on the multi-physics field coupling finite element model constructed in the step 1; and step 3, based on the temperature field and thermal stress field evolution curves of the key area of the aging layer under different laser powers obtained in the step 2, analyzing a synergistic effect relationship between vibration and an ablation mechanism, obtaining time-space distribution characteristics of the temperature and thermal stress of the silicone rubber aging layer under the action of pulse laser, and screening out the silicone rubber aging layer which can realize initial stripping of the aging layer through thermal stress. And thorough removal can be realized through thermal decomposition, and a power interval in which a matrix is damaged due to too high energy is avoided. According to the method, evolution of a transient temperature field and a thermal stress field can be accurately simulated, and the space-time synergistic effect of vibration and an ablation mechanism is quantitatively analyzed, so that a safe and efficient process parameter window is predetermined, and scientific guidance is provided for actual cleaning production.

This invention relates to a method, device, electronic device, and computer storage medium for compensating for thermal errors in lead screws, belonging to the field of machine tool processing technology. The thermal error compensation method for lead screws is applicable to lead screw feed systems with fixed ends. It includes: acquiring real-time temperatures at key temperature points in the lead screw feed system and the positioning error at those real-time temperatures based on a preset experimental platform; constructing a three-dimensional model of the lead screw feed system based on the thermal deformation effects and complexity of each structure; performing transient temperature-structure coupled field analysis on the lead screw feed system based on the three-dimensional model to determine the correlation between the lead screw pre-tension and the thermal deformation under thermal steady-state conditions; constructing a quantitative mapping model between lead screw temperature and thermal deformation based on this correlation; and performing thermal error compensation on the lead screw based on the quantitative mapping model. This invention can accurately achieve thermal error compensation for lead screws.

The application discloses an electromagnetic-thermal double-coupling temperature rise prediction and double-cycle optimization method for an active suspension actuator, establishes an electric-magnetic-thermal double-direction coupling relationship transfer model of the active suspension system actuator, iteratively solves steady-state / transient temperature distribution functions of each net point of the actuator based on a mapping relationship between road excitation and linear thrust of the actuator, and obtains electric-magnetic-thermal coupling characteristics of the actuator under each iteration algebra; the steady-state / transient temperature distribution functions are used for temperature rise prediction of the active suspension actuator; the electric-magnetic-thermal coupling performance of the actuator is taken as an optimization target, vehicle suspension performance is taken as a constraint condition, a double-cycle optimization strategy of the active suspension system is constructed, and optimal parameters required when the active suspension system is designed are obtained. The design parameters obtained by the method can improve the design efficiency and effect of the active suspension system, and the active suspension system designed has the advantages of low energy consumption, high control precision and good reliability.

The invention relates to the technical field of passivation contact crystal silicon cell manufacturing, in particular to a passivation contact crystal silicon cell annealing temperature control method and system, and the method comprises the following steps: obtaining the operation parameters of an annealing furnace and the thermal load information of a silicon wafer; evaluating a response delay characteristic of the temperature control loop; on the basis of the operation parameters, the thermal load information and the response delay characteristics, predicting the transient temperature overshoot risk of the surface of the silicon wafer by using predetermined overshoot risk prediction parameters to obtain a prediction result; according to the prediction result, the heating power is adjusted before overshoot occurs; by acquiring the operating parameters of the annealing furnace and the thermal load information of the silicon wafer and evaluating the response delay characteristic of the temperature control loop, the real-time state in the hearth and the thermal response condition of the silicon wafer can be comprehensively mastered.

The application provides a high-voltage bushing gas transient temperature calculation and state diagnosis method and device and a storage medium. The method comprises the following steps: collecting a high-voltage bushing gas pressure value, a shell temperature value and an ambient temperature value of the device; calculating an ambient temperature influence effective value; calculating a high-voltage bushing gas transient temperature value; calculating a temperature field model parameter; calculating a high-voltage bushing gas transient temperature value; calculating a high-voltage bushing gas molar density value; and performing state diagnosis on the high-voltage bushing according to a set diagnosis threshold value. Through the technical scheme provided by the application, the oil and gas pressure value in the high-voltage bushing can be monitored online for 24 hours without interruption, the running and fault states in the high-voltage bushing can be evaluated, accidents can be prevented, and a feasible means is provided for real-time monitoring of the running and fault states of the device.

A power supply apparatus (100) comprises an inverter (110), voltage and current measuring devices (120a, 120b), a temperature sensor (130), and an operation circuit (140). The inverter (110) comprises change-over switches (SW1-SW6). The voltage and current measuring devices (120a, 120b) are configured to measure the voltage (V1) and the current (I1) on the change-over switches (SW1-SW6). The temperature sensor (130) is configured to measure an initial temperature (T[0]) in an initial state. The operation circuit (140) is coupled to the voltage and current measuring devices (120a, 120b) and the temperature sensor (130). The operation circuit (140) is configured to: execute a power model (142), and calculate a first transient power of the change-over switches (SW1-SW6) on the basis of the initial temperature (T[0]), the voltage (V1), and the current (I1); and execute a thermal model (144), and calculate a first transient ideal temperature of the change-over switches (SW1-SW6) on basis of the first transient power. The power supply apparatus (100) calculates, in real time, the transient temperature of channel interfaces of the change-over switches (SW1-SW6) by measuring the voltage (V1) and the current (I1) on the change-over switches (SW1-SW6) of the inverter (110). The present invention also relates to a temperature measurement method (500) for a power supply apparatus, and an electrical system (ES1).

The invention provides an electron beam processing thermal deformation determination method and a processing method, and the determination method comprises the steps: carrying out the simulation of a processing object, obtaining a simulation model, and enabling the simulation model to represent the geometric features, material features and processing boundary conditions of the processing object; determining a transient temperature heat source item of the processing object, wherein the transient temperature heat source item comprises description of an electron beam scanning path and scanning speed, description of electron beam processing technological parameters, and description of a scattering path and energy absorption distribution of an electron beam in a material; the transient temperature heat source item is substituted into the simulation model, and three-dimensional temperature distribution information of the machined object at different moments in the machining process is determined; and determining the thermal deformation of any scanning point on the processing surface at different moments based on the three-dimensional temperature distribution information of the processing object at different moments.