79 results about "Thermal equilibrium" patented technology

The invention provides a thermodynamic equilibrium simulation analysis method and system, and relates to the technical field of data processing, and the method comprises the steps: 1, building a steam thermodynamic equilibrium model based on the technological parameters of a thermodynamic network; 2, analyzing a thermal distribution state through a steam thermal equilibrium model, identifying an unbalance factor in a process chain, and establishing a four-vertex geometric topological relation among a heat exchanger inlet / outlet, a pressure reduction module and a drain valve process node according to the physical layout of a thermal network; and step 3, based on the dynamic proportion characteristic of the four-vertex geometric topological relation, calculating a thermal correction factor, and adjusting the heat transfer coefficient, the steam pressure and the condensate water temperature parameter of the steam thermal equilibrium model according to the thermal correction factor to obtain the corrected steam thermal equilibrium model parameter. According to the method, through dynamic correction of model parameters and simulation optimization, accurate identification and dynamic regulation and control of thermal unbalance are realized, a closed loop for optimized feedback is formed, and the operation efficiency and stability of a thermal system are improved.

The invention provides a spindle constant-temperature AI closed-loop heat engine system, and relates to the technical field of numerical control machine tool control and heat management. The invention aims to solve the problems of response lag, uncontrollable thermal stress, single heating strategy and the like of the traditional spindle heat engine method. The system comprises a multi-dimensional thermal state sensing module used for constructing a multi-node discrete temperature field representing the overall thermal distribution of the main shaft; the real-time heat balance feedback module is used for judging the cold / hot starting state of the main shaft according to the initial temperature difference and executing a differentiated feedback control strategy; and an AI prediction forward compensation module that predicts a future cutting thermal load by pre-reading a machining instruction and generates a feedforward thermal compensation instruction. According to the method, the thermal stress is controlled by introducing the radial thermal gradient index as the safety constraint, negative precooling or positive preheating is achieved in combination with the AI predictive capacity, a feedback and feedforward composite control mode is formed, and the dynamic thermal stability and the machining precision of the main shaft under the complex working condition are improved.

The invention relates to the technical field of temperature control, in particular to an intelligent solar heat supply temperature management and adjustment system which comprises a thermal distribution modeling module, a thermal equilibrium optimization module, a fluid heat transfer design module, a dynamic layout adjustment module and an environmental factor coupling module. According to the method, through calculation based on solar radiation intensity and heat absorption parameters, a thermal distribution field is accurately established, a dynamic optimization basis is provided, thermal gradient differences are reduced, heat distribution balance is achieved, and through optimization of heat absorption coating covering density and pipeline layout, the heat energy transfer efficiency is improved, and local overheating and energy loss are reduced; pipeline distribution and fluid flow rate optimization are combined with heat transfer oil heat exchange performance, heat transfer efficiency is enhanced, radiation angles and layout parameters are dynamically adjusted, the solar energy absorption rate of the heat collection device is improved, output parameters are adjusted in real time in combination with environment temperature and wind speed, the capacity of the system for adapting to complex climate conditions is improved, and efficient and stable heat energy utilization is achieved.

The invention provides a big data information processing method and system. According to the method, an energy distribution model is generated by combining a building information model with infrared thermal imaging data, and a dynamic thermal balance equation set is constructed according to the model so as to generate three-dimensional temperature field reconstruction data. Then, thermal resistance parameters in the energy distribution model, heat flow abnormal area coordinates in the three-dimensional temperature field reconstruction data and air conditioning unit current data are analyzed through a deep learning algorithm, and space-time coupling characteristics of equipment power consumption and thermal environment parameters are extracted; then, a priority regulation and control chain of the temperature control equipment is formulated, and multi-stage linkage rules of the fresh air exchange rate, illumination dimming and cold release of the cold storage tank are covered; finally, the chilled water pump phase difference, the air conditioner group operation mode and the emergency lighting power limiting value are dynamically adjusted, and power load stabilization is achieved. According to the technical scheme provided by the invention, the data information processing efficiency and stability of the large building can be improved.

The invention relates to the technical field of data processing, in particular to an intelligent optimization control method and system for a rectifying tower. The method comprises the following steps: collecting steam quantity, cold quantity and tower plate temperature data at each moment, and clustering historical temperature data of the tower plate temperature data at the current moment to obtain a plurality of clusters; acquiring temperature stability in each cluster, and acquiring a heat balance state index at the current moment according to the temperature stability; the method comprises the steps of obtaining temperature change disturbance controllability in a control period at the current moment, obtaining the number of adjustment iterations of the control period at the current moment according to the change disturbance controllability, and obtaining a predicted temperature value according to the number of adjustment iterations of the control period at the current moment. According to the size relation between the predicted temperature value and the heat balance state index at the current moment, the steam amount and the cold amount at the current moment are adjusted, and the rectification process is dynamically and accurately controlled by predicting the future temperature value.

The invention belongs to the field of space electric propulsion, and particularly relates to a working medium-free cathode heating method, which comprises the following steps: heating a working medium-free cathode by adopting a constant voltage mode and a constant power mode, dividing the heating process into a plurality of stages, calculating the heating voltage according to the expected power of each stage, and heating for a period of time under corresponding heating; after multi-stage constant-voltage heating is completed, a constant-power heating mode is switched to, the working-medium-free cathode heating voltage is adjusted, and the adjusted working-medium-free cathode heating power is made to be equal to the set rated heating power; according to the method, the thermal instability of working medium-free cathode heating can be effectively reduced, and the working performance of the cathode is enhanced; in the constant-power heating mode, as the input heating power is always a constant value, the temperature of the working-medium-free cathode tends to be stable due to the zeroth law of thermodynamics, namely the thermal equilibrium law, as time goes on, and then thermal instability and noise caused by the thermal performance of the working-medium-free cathode are reduced.

The invention provides an electrical equipment overheating hidden danger early warning method and system based on unmanned aerial vehicle multi-spectral imaging, and belongs to the technical field of power equipment state monitoring, and the method comprises the steps: firstly obtaining ultraviolet photons and spatial point cloud data collected by an unmanned aerial vehicle; a three-dimensional model is constructed based on the point cloud, and electric field distribution information is obtained through finite element analysis. And the photon data and the electric field information are combined, and the discharge charge quantity and distribution are obtained through space inversion correction. And calculating the discharge current density by using an energy dissipation model, and determining the discharge thermal power loss density in combination with the local electric field. And finally, a steady-state heat conduction equation is solved based on the heat conduction and dissipation parameters, temperature field distribution under heat balance is calculated, and early warning information is generated when the steady-state temperature exceeds a heat-resistant threshold value. According to the invention, early-stage accurate prediction and positioning of the hidden overheating fault of the electrical equipment caused by insulation degradation are realized.

The optimization method of a regenerator based on a local non-thermal equilibrium coupling model belongs to the field of comprehensive performance optimization of regenerators. The implementation method of the present invention is as follows: based on the one-dimensional local non-thermal equilibrium model and the three-dimensional local non-thermal equilibrium model of the regenerator, design variables are calculated and iterated to obtain the local non-thermal equilibrium coupling model of the regenerator; the present invention improves the optimization accuracy of the regenerator by establishing a local non-thermal equilibrium coupling model of the free piston Stirling generator regenerator to replace the previous single idealized model; the regenerator optimization problem is constructed with the objective function including the flow pressure drop and heat conduction loss optimization targets combined with the regenerator performance constraint conditions; according to the regenerator optimization problem, the multi-objective optimization of the design variables of the regenerator is performed under preset working conditions, and the flow resistance loss and heat conduction loss generated by the regenerator are suppressed according to the structural parameters of the optimized regenerator, thereby improving the suppression accuracy and efficiency of the flow resistance loss and heat conduction loss of the regenerator.

The invention provides a refined calculation method for thermal equilibrium of a secondary pipe network. The refined calculation method comprises the following steps: S1, establishing an indoor comprehensive temperature calculation model of a building; s2, an outdoor comprehensive temperature calculation model is established, and time-average calculation optimization is carried out; s3, optimizing an indoor comprehensive temperature calculation model of the building, and eliminating system delay; s4, the theoretical building indoor comprehensive temperature is calculated, whether the building indoor set target temperature is met or not is judged, and pipe network thermodynamic equilibrium adjustment is conducted; and S5, evaluating the thermal equilibrium effect of the pipe network. Data resources of secondary pipe network supply and return water temperature, heating buildings and outdoor meteorological temperature are fully utilized, an indoor and outdoor temperature dynamic calculation model is established through heat balance theory analysis, thermal delay is considered synchronously, a system cooperative adjustment strategy is achieved, and system stability is improved.

The invention discloses a low-temperature liquid storage tank pressure prediction method based on a non-thermal equilibrium state model, and aims to improve the calculation speed of a pressure evolution law so as to reduce the time required for predicting the pressure of a storage tank. The method comprises the steps that firstly, a pressure sensor, a temperature sensor and a liquid level meter are used for collecting the temperature of a current gas phase and liquid phase area of the low-temperature liquid storage tank, the pressure in the storage tank, the vacuum degree of a heat insulation layer and the real-time liquid level; secondly, transmitting signal data obtained by monitoring of the sensor to a processor, and checking the density, phase change latent heat and thermodynamic energy of gas and liquid phases in the storage tank through REFPROP software; then establishing a three-dimensional model and a heat and mass transfer relationship of the storage tank, and performing heat transfer analysis on gas-phase and liquid-phase media in the storage tank; secondly, performing energy analysis on a gas phase region, a liquid phase region and a gas-liquid interface in the storage tank according to the established three-dimensional model and a heat transfer analysis result, and selecting a proper time step to perform iterative calculation so as to ensure the calculation precision of each step; storing the calculation result of the previous step, and searching and taking thermodynamic parameters of the next time step through REFPROP software according to the parameters obtained through calculation; finally, the safe storage time of the storage tank under the current liquid filling volume and the heat insulation performance is calculated, and safe work of the storage tank is guaranteed.

This application proposes a bolt preload measurement system and method based on laser-electromagnetic ultrasound, relating to the field of bolt nondestructive testing. The measurement system includes a laser source, an ultrasonic probe, a signal conditioning module, a temperature module, a loading module, and a data processing module. The laser source generates pulsed laser light. The ultrasonic probe includes a long-axis housing and an electromagnetic ultrasonic transducer unit. The housing contains an incident light path and an outgoing light path. The electromagnetic ultrasonic transducer unit is located inside the housing near the end of the outgoing light path. The signal conditioning module preprocesses the ultrasonic waves received by the electromagnetic ultrasonic transducer unit. The temperature module acquires the bolt temperature in real time. The loading module applies an axial tensile load to the bolt when it is at thermal equilibrium temperature. The data processing module calculates the bolt preload based on the flight time of the preprocessed ultrasonic waves and the tensile load. This application enables non-contact, high-precision measurement of the preload of small-diameter bolts under extreme conditions.

The present invention relates to the field of leakage detection technology, and further to a comprehensive test system for hydrogen valves based on a vacuum leak detection method. The system includes: a modeling part, an analysis and processing part, a real-time control part, and a predictive control part; the modeling part is used to establish a gas state equation in a vacuum chamber and a thermodynamic balance equation of the vacuum chamber according to the initial parameters of the test environment; the analysis and processing part is used to consider the influence of temperature changes on the vacuum degree and calculate the leakage flux; the real-time control part is used to adjust the hydrogen flow rate; the predictive control part is used to perform Kalman filtering on the system temperature, pressure, and hydrogen flow rate to ensure the tracking of the set hydrogen flow rate. The present invention provides an efficient, stable, and reliable technical solution for hydrogen valve performance evaluation and flow regulation.

The present invention relates to the technical field of heat exchangers, and specifically relates to a method for overall three-dimensional numerical simulation of an intercooler under a local non-thermal equilibrium state. S1: Extract a periodic repeating micro-element structure of the intercooler as the object of simulation research. S2: Under the given inlet and outlet conditions, calculate the heat transfer quantity q of the micro-element structure r , the viscous resistance coefficient D of the hot-side fins h and the inertial resistance coefficient C h , the viscous resistance coefficient D of the cold-side fins c and the inertial resistance coefficient C c . S3: Establish a periodic micro-element model with the hot-side fins removed, and solve for the equivalent porosity ε of the hot-side channel e,h ; S4: Establish a periodic micro-element model with the cold-side fins removed, substitute it with the local thermal equilibrium model of porous media, and solve for the equivalent porosity ε of the cold-side channel e,c ; S5: Establish an overall three-dimensional simplified model, and solve for the pressure loss and heat transfer quantity of the entire heat exchanger under the specified inlet and outlet conditions. The simulation method proposed by the present invention can accurately simulate the performance of complex heat exchangers under a non-thermal equilibrium state.

The invention belongs to the technical field of electrical performance test, and particularly relates to an automatic test method and system for an inflatable switch cabinet factory temperature rise test, and the method comprises the steps: obtaining an original test point temperature sequence and an original environment temperature sequence, executing the noise suppression, and outputting a test point temperature observation value sequence and an environment temperature observation value sequence; acquiring a temperature rise evolution rate based on the observed value; the change gradient of the temperature rise evolution rate is analyzed, and convective stationary factors are obtained in combination with the temperature difference; in a preset disturbance observation window, integral accumulation compensation is carried out on the environment temperature change gradient by using a time weighting core, and a balance judgment index is generated through maximum value search; and determining a thermal equilibrium state based on the equilibrium determination index and the convective stationary factor and executing physical closed-loop control. According to the invention, the problem of advanced shutdown caused by judgment artifacts generated by environment temperature drift is solved, and the automation level and the test reliability of a temperature rise test are improved.

The present invention discloses a method for evaluating the temperature rise performance of a drive motor, which relates to the field of motor technology. The evaluation method comprises the following steps: 1. calibrating the output external characteristics of the drive motor; 2. conducting performance tests at different thermal equilibrium temperatures; 3. conducting operating time tests at different torques; and 3. evaluating the temperature rise performance of the drive motor according to the dynamic requirements of the entire vehicle. The method for evaluating the temperature rise performance of a drive motor provided by the present invention provides a scientific and accurate reference basis for the multi-dimensional evaluation of the temperature rise performance of the drive motor by calibrating the external characteristics of the drive motor through performance tests at different thermal equilibrium temperatures and operating time tests at different torques, thereby making the evaluation method applicable to a variety of different operating conditions and meeting the diversified development needs of new energy vehicle application scenarios.

The invention belongs to the technical field of vehicle equipment, solves the problem of low reliability of temperature rise performance analysis of an actual temperature rise process in a dynamic complex working condition state in the prior art, and provides a speed reducer temperature rise performance calculation method, device and equipment based on heat balance. The method comprises the steps of obtaining motion parameters and environment temperature of a speed reducer; obtaining a first heat energy value generated by the speed reducer in any time period according to the motion parameters; the system temperature of the reducer in the first time period is obtained according to the first heat energy value in the first time period and the environment temperature. The target system temperature when the speed reducer and the environment reach the heat balance state is obtained by combining the first heat energy value with the system temperature and the environment temperature in a recursive mode, and the process that the temperature rise performance of the speed reducer corresponds to the system temperature recursive change of the first time period to obtain the target system temperature is obtained; through the method, the reliability of the heat balance temperature of the speed reducer can be improved, design of various indexes of the speed reducer is better guided, and the performance of the speed reducer is improved.

The present application provides a commutation ratio determination method, a power converter, an electronic device and a storage medium. The commutation ratio determination method is used for determining the commutation ratio of a three-level active neutral-point-clamped (ANPC) structure, and comprises: acquiring a thermal equilibrium mapping relationship, wherein the thermal equilibrium mapping relationship is used for indicating a mapping relationship among a power factor, a modulation index and a thermal equilibrium factor, and the thermal equilibrium factor is used for indicating the thermal equilibrium of an external half-bridge module in the three-level ANPC structure; acquiring a first power factor and a first modulation index; on the basis of the thermal equilibrium mapping relationship, determining a first thermal equilibrium factor mapped to the first power factor and the first modulation index; and on the basis of the first thermal equilibrium factor, determining the commutation ratio of the three-level ANPC structure, wherein the commutation ratio is used for indicating the number ratio of a short commutation path to a long commutation path in the working process of the three-level ANPC structure. The present solution can reduce the local hot spot temperature of a device in a three-level ANPC structure.

The invention provides a machine tool spindle thermal error modeling prediction and compensation method based on physical-data hybrid drive, and the method comprises the steps: S1, synchronously collecting key position data in a process that a machine tool spindle operates from a cold machine state to a thermal balance state; s2, carrying out collinearity clustering analysis and grey relational degree analysis on the acquired temperature data of the measuring points, and selecting a plurality of sensitive temperature measuring point data; s3, constructing a physical-data hybrid drive neural network model based on a thermal expansion physical equation, inputting the sensitive temperature measurement point data as an independent variable and the corresponding strain data as a dependent variable into a neural network for training, and performing strain prediction; and S4, performing multiple linear regression fitting on strain data predicted by the neural network model and thermal error data acquired by experiments, establishing a thermal error prediction model of the machine tool spindle, and performing thermal error compensation according to a prediction result.

This application discloses a method, device, and medium for dynamic assessment of meteorological and hydrological risks in thermal power systems, relating to the technical field of low-carbon transformation of power systems. The method dynamically couples meteorological and hydrological data of thermal power systems to determine a multi-source meteorological and hydrological data set; employs the second law of thermodynamics and the heat transfer equation to construct a dynamic heat balance equation for the cooling system of the thermal power unit; determines the water intake of the thermal power unit cooling system based on the multi-source meteorological and hydrological data set, the dynamic heat balance equation, and climate and hydrological constraints; determines the available capacity of the thermal power system under runoff and water temperature constraints based on the water intake of the thermal power unit cooling system and the available water resources; establishes a three-dimensional evaluation system based on the available capacity, and, based on the three-dimensional evaluation system, divides and evaluates the meteorological and hydrological risks of the thermal power system to determine the evaluation results. This application achieves a precise assessment of meteorological and hydrological risks in thermal power systems.

The invention provides a long-distance pipeline hydrostatic test innovation method and related equipment, and the method comprises the steps: carrying out the pressure test segmentation of a long-distance pipeline based on the related parameters of the long-distance pipeline, so as to obtain a first-stage pipe section; according to a water filling control condition, the pipe section of the stage is filled with water, so that a pipe section of a second stage is obtained; continuously injecting water into the pipe section in the second stage to increase the pressure of the pipe section in the second stage to thermodynamic equilibrium pressure to obtain a pipe section in a third stage; boosting the pipe section of the third stage to obtain a first detection result and a pipe section of a fourth stage; in response to the fact that the first detection result is qualified, the air existing amount in the pipe section is calculated, and a second detection result and the pipe section of the fifth stage are obtained; performing a sealing test on the pipe section in response to the fact that the second detection result is qualified so as to obtain a third detection result; and if the third detection result is qualified, determining that the quality of the long-distance pipeline is qualified. Through the method, the accuracy of quality detection of the long-distance pipeline can be improved.

The application discloses a kind of wind tunnel model surface friction stress global measurement method, the purpose is to friction stress global measurement, using coating heating mode to heat model surface, after reaching thermal equilibrium, the temperature distribution of model surface is obtained using high-precision infrared thermal imager, at specified position, using mature friction stress local measurement technology to obtain local friction stress, based on the friction stress and temperature distribution along streamline, the friction stress on the whole streamline is calculated;Using mature local friction stress measurement method and high-precision infrared thermal imaging technology to measure global friction stress, the measuring equipment is relatively simple, the model surface is heated by heating coating with constant power, the relationship between friction stress size and local temperature is established, the calculation method is relatively simple, the resolution of friction stress is higher, and the resolution of infrared image is equivalent, other flow field information can be obtained simultaneously.

The present invention discloses a highway pavement temperature forecasting method based on physical constraints, including the following steps: collecting and preprocessing meteorological data, historical observation data of pavement temperature and geographic data of all stations in the region, adding time information to construct time features; building a U-net neural network model, correcting spatial field data of multi-station multi-meteorological element forecast data, and outputting the corrected meteorological data of each station; building a bidirectional LSTM network based on the U-net model, processing time series data, and using loss functions to evaluate and optimize model performance; adding physical constraints to the model, including the time relationship of temperature changes, seasonal and day and night change characteristics, material thermal properties, thermal balance equations, etc., to optimize model results; using a test set to evaluate the generalization ability and forecast accuracy of the model, and fine-tuning model parameters. This method significantly improves the accuracy and reliability of pavement temperature prediction, and provides a reliable basis for traffic management and safety warning.

Embodiments of the present disclosure include systems and methods for reducing a sample complexity and a time complexity associated with noise-robust characterization of a quantum device. A plurality of copies of a Gibbs state of the quantum device in thermal equilibrium at a high-temperature. A plurality of estimates for expectation values of the plurality of copies of the Gibbs state. A plurality of cluster derivatives for a plurality of connected clusters of a low-degree Hamiltonian are calculated. A function is inverted on the plurality of estimates based on the plurality of cluster derivatives and a set of Hamiltonian coefficients are estimated for the low-degree Hamiltonian of the quantum device.

The present application is applicable to the field of microscopic thermal imaging technology, and provides a transient thermal reflection test method, system, device and terminal equipment. The transient thermal reflection test method includes: obtaining the thermal reflection coefficient of the device under test and the average temperature of the device under test after thermal equilibrium under periodic excitation conditions; under the condition that the periodic excitation conditions remain unchanged, selecting the measurement delay and the reference delay, and obtaining the camera measurement grayscale value and the camera reference grayscale value based on the measurement delay and the reference delay; obtaining the temperature of the device under test at the time of measurement based on the camera measurement grayscale value, the camera reference grayscale value, the thermal reflection coefficient and the average temperature; sorting the temperature of the device under test in the order of the measurement delay from small to large, and obtaining the change of the measured temperature over time. The transient thermal reflection test results of the present application are less affected by intensity drift, which improves the accuracy of the test results.

This application discloses a method for calibrating heat dissipation control parameters, a heat dissipation method, and an energy storage system. Under a preset ambient temperature, the energy storage system is controlled to operate at full power with the heat dissipation device operating at its maximum heat dissipation power. After thermal equilibrium is reached, the temperature detection value is recorded as the first thermal equilibrium temperature. Using the first thermal equilibrium temperature as the initial trigger temperature, a temperature testing procedure is performed: after the system cools to the ambient temperature, it operates at full power with the heat dissipation device turned off. When the temperature detection value rises to the trigger temperature, the system switches to the maximum heat dissipation power to obtain the peak temperature. Based on the peak temperature, a heat dissipation power upper limit switching temperature threshold is determined, and a first correspondence between the temperature detection value and the heat dissipation power is established. This application incorporates the influence of system thermal inertia into the calibration process of the first correspondence through actual measurement, which helps to avoid the problem of temperature overshoot exceeding the device's safe range due to thermal inertia and helps to reduce the controller's computational load and calibration workload.

A method for measuring the displacement thickness and momentum loss thickness of a highly compressible turbulent boundary layer belongs to the field of aerospace testing technology. The method comprises: obtaining the boundary layer velocity field distribution for the boundary layer flow field at a specific position of a flat plate model in a continuously operating hypersonic wind tunnel; obtaining the wall temperature distribution after the model reaches thermal equilibrium at a specific position of the flat plate model; utilizing the boundary layer velocity field distribution and wall temperature distribution at a specific flow direction station, obtaining the temperature and density distribution along the normal direction of the flow in the boundary layer by introducing relevant assumptions, and then calculating the displacement thickness and momentum loss thickness based on the temperature and density distributions. The present invention solves the problem of measuring and obtaining the boundary layer displacement thickness and momentum loss thickness in a wind tunnel environment from an experimental perspective.

This invention provides a method and system for transmission line inspection and analysis based on digital twins. The method involves: using a digital twin object identifier as the core, uniformly solidifying the transmission line structure and constructing an initial static line structure model; based on continuously collecting multi-source sensing data and forming a time-series operational observation set, constructing a multi-physics coupled evolution model that simultaneously characterizes icing and melting, thermal equilibrium response, and mechanical evolution; identifying hidden risks by jointly discriminating the state evolution trajectory of key state variables and their historical reference distribution; and conducting parameterized perturbations and multi-scenario simulations to assess operational reliability risks. Finally, the risk development trend is reflected back into the spatial line model, generating forward-looking inspection and analysis results. This invention can perform line inspections on transmission lines that are under long-term alternating thermo-mechanical coupling conditions of icing and melting.

The application discloses a correction method and device for thermal equilibrium temperature in a gas chamber, equipment and a medium, relates to the technical field of gas chamber gas supplementing, and comprises the following steps: constructing a correlation model according to a multi-dimensional parameter sample, a theoretical value and an actual value of the thermal equilibrium temperature corresponding to the multi-dimensional parameter sample, wherein the theoretical value is a thermal equilibrium temperature value calculated by a multi-dimensional parameter space model; and substituting a target gas state parameter of a to-be-supplemented gas chamber, a target gas injection process parameter and a thermal equilibrium temperature calculated by the multi-dimensional parameter space model into the correlation model to obtain a corrected thermal equilibrium temperature of the to-be-supplemented gas chamber. By constructing a correlation model between the multi-dimensional parameters and the model calculation error, the calculation result of the multi-dimensional parameter model is corrected to obtain a more accurate thermal equilibrium temperature in the gas chamber during equipment gas filling, so that the gas filling amount is calculated based on the accurate thermal equilibrium temperature, the calculated gas filling amount is more accurate, and the insulation performance and operation reliability of GIS are ensured.

The present invention relates to a motor temperature simulation method and system, the simulation method comprising: constructing an electrical model of a motor; constructing an endogenous heat model of a motor; equivalent the motor housing, stator yoke, stator teeth and rotor to a round-wall cylinder, equivalent the motor winding and shaft to a cylinder to construct a thermal network model of the motor; selecting the temperature nodes of the motor in the thermal network model, and constructing the transient thermal balance equation of the motor based on the temperature nodes; connecting the electrical model, the endogenous heat model and the thermal network model in sequence to obtain a multi-field coupling model of the motor; simulating the temperature change during the operation of the motor based on the multi-field coupling model, and using a gradient descent algorithm to update the motor parameters in the multi-field coupling model, so that the difference between the simulated temperature obtained by simulation and the actual temperature of the motor is less than a preset threshold. The multi-field coupling model established by the present invention can adjust the motor parameters during the simulation process to increase the accuracy of the simulation.

The application discloses a calculation method and device for thermal equilibrium temperature in a gas chamber based on multi-dimensional parameters, relates to the technical field of gas chamber gas supplementing, and comprises the following steps: constructing a multi-dimensional parameter space model based on gas state parameters and gas injection process parameters of the gas chamber, wherein the multi-dimensional parameter space model is used to calculate the thermal equilibrium temperature in the gas chamber when the gas chamber is filled with gas according to the gas state parameters and the gas injection process parameters; and inputting target gas state parameters and target gas injection process parameters of a gas chamber to be supplemented into the multi-dimensional parameter space model to obtain the thermal equilibrium temperature of the gas chamber to be supplemented calculated by the multi-dimensional parameter space model. Through the construction of the multi-dimensional parameter space model, the real-time calculation of the gas chamber temperature is combined with the multi-dimensional parameters related to the gas chamber, so that the thermal equilibrium temperature in the gas chamber to be supplemented is more accurate, the gas filling amount calculated based on the accurate thermal equilibrium temperature is more accurate, and the insulation performance and operation reliability of GIS are ensured.