327 results about "Transient temperature" patented technology

The embodiment of the invention discloses a transformer transient temperature rise prediction method and device and a storage medium, and the method comprises the steps: constructing a two-dimensional model, calculating the magnetic flux density distribution conditions of a transformer iron core and a winding under a first preset load rate condition, and further obtaining an iron core loss value and an eddy current loss value of the winding, the method is used as heat source excitation of a temperature-flow field of the transformer, a step type function is adopted for representation and is substituted into a heat flow field coupling calculation model, electromagnetism, fluid mechanics, heat transfer theory and a finite element method are involved, and the problem that transient temperature rise simulation calculation of the dry type transformer under different load rates is difficult to converge can be effectively and accurately solved.

The invention relates to the technical field of field data acquisition, in particular to an on-line temperature self-compensation calibration method and circuit for a force measurement transmitter. The calibration method comprises the steps that a working strain gauge and a temperature compensation gauge are synchronously excited through a two-way precision constant current source, the working strain gauge and the temperature compensation gauge are consistent in material parameter and are located in the same temperature field, and output current values of the two-way precision constant current source are equal and are controlled by a high-precision reference voltage source and a sampling resistor in a closed-loop mode. According to the invention, differential signals of the working strain gauge and the temperature compensation gauge are decoupled in real time through double-path precise constant-current source excitation and synchronous ADC acquisition technologies, gradient compensation is carried out on the temperature change rate in combination with a dynamic weighting algorithm, a lag error of traditional fixed coefficient compensation in a transient temperature field is effectively eliminated, and the accuracy of temperature compensation is improved. And online self-compensation of the temperature drift of the strain gauge is realized.

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 cable hot-spot temperature identification method and device, terminal equipment and a storage medium. The method comprises the following steps: acquiring a steady-state temperature field reduced-order model, a cable surface temperature monitoring value and a ground surface temperature monitoring value of a power distribution network cable; obtaining an initial equivalent current based on a preset parameter space; taking the initial equivalent current as input, repeatedly executing an equivalent current iteration adjustment operation through a cable surface temperature monitoring value and a steady-state temperature field reduced-order model, stopping executing the equivalent current iteration adjustment operation when residual data is smaller than a residual threshold or the number of iterations is equal to an iteration threshold, and outputting a final iteration equivalent current; and inputting the iterative equivalent current and the surface temperature monitoring value into the steady-state temperature field reduced-order model to obtain a cable internal transient temperature field reconstruction result of the power distribution network cable. According to the invention, cable current changing in real time does not need to be monitored, the internal temperature field of the cable can be reconstructed only by monitoring the surface temperature of the cable, and the simulation accuracy of the cable temperature field is improved.

The invention discloses a new energy access lower harbor area transformer insulation performance and service life evaluation method, which comprises the following steps: firstly, establishing a wind and light storage AC / DC hybrid micro-grid equivalent simulation model, and quantifying a composite action mechanism of new energy fluctuation and harmonic characteristics on dynamic loss and hot-spot temperature rise of a transformer; analyzing a harmonic loss mechanism of the transformer in different operation modes; secondly, constructing a quay crane and field crane operation simulation model, and analyzing the harmonic characteristics of bridge crane equipment and the influence of the harmonic characteristics on the harmonic distortion rate of the power distribution network; then, on the basis of the data, a transformer hot-spot temperature dynamic calculation model is established in combination with bidirectional power flow characteristics; and finally, calculating transient temperature distribution of the transformer through a flow field-temperature field coupling method, and constructing a multi-physical field coupled insulation aging rate model to realize evaluation of the residual life of the transformer. The method solves the problem that the traditional method cannot quantify the bidirectional power flow and harmonic wave composite aging effect.

The invention discloses a method for preventing and controlling temperature stress cracking of a mass concrete structure. The method comprises the following steps: preparing low-heat high-toughness concrete; low-heat high-toughness concrete is adopted for pouring a mass concrete structure, and simulation calculation is conducted on a transient temperature field and time-varying temperature stress in the mass concrete construction process; and according to a simulation calculation result, in order to avoid temperature stress cracking in the mass concrete structure, the concrete mold entering temperature, the pouring procedure and the construction maintenance are adjusted in good time. The method can be used for preparing the material capable of reducing the adiabatic temperature rise peak value of the mass concrete and improving the tensile strength of the concrete, reasonably determining the pouring construction maintenance system of the mass concrete, and preventing the mass concrete structure from cracking due to the fact that the temperature stress exceeds the allowable tensile strength of the concrete in the construction process.

The invention provides a distribution network lightning arrester transient temperature distribution improvement method based on insertion of an aluminum gasket, and belongs to the technical field of electrical equipment, and the method comprises the steps: constructing a lightning arrester three-dimensional model in simulation software; constructing the lightning arrester conductivity of the coupling temperature; constructing a lightning stroke simulation model of the lightning arrester; lightning stroke transient temperature distribution of the lightning arrester is obtained, and a lightning stroke comparison result before and after addition of the aluminum gasket is obtained; constructing an aluminum gasket thickness-position set; and obtaining the position-thickness optimization relation of the aluminum gasket, constructing a genetic algorithm model according to the aluminum gasket thickness-position set, and obtaining the optimal aluminum gasket thickness based on the position. The method has the advantages that the temperature change of the ZnO valve plate of the lightning arrester under the lightning impulse is obtained, and the transient temperature distribution of the lightning arrester during the lightning impulse is obtained by using the temperature distribution coefficient; comparing the transient temperature distribution of the lightning arrester before and after adding the aluminum gasket to confirm that the temperature distribution of the lightning arrester can be optimized by adding the aluminum gasket; therefore, the method for introducing the aluminum gasket between the lightning arrester valve plates is provided.

The invention discloses a temperature real-time estimation and fault monitoring method for a motorized spindle temperature unmeasurable area, and the method comprises the steps: constructing a heat capacity and heat resistance network model of a to-be-monitored machining center motorized spindle, and carrying out the finite element preliminary simulation, and obtaining the prediction data of a transient temperature field; and according to the transient temperature field prediction data and the local actually measured temperature data, parameter joint optimization is carried out on the heat capacity and heat resistance network model to obtain a motorized spindle transient temperature field real-time prediction model, and a real-time motorized spindle temperature distribution diagram is generated after grid refinement processing and is used for abnormal heating fault real-time judgment. According to the method, the transient temperature field of the motorized spindle under the current working condition can be completely and accurately predicted in real time, and the safety of the motorized spindle is better protected.

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

The invention 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 relates to the technical field of topological optimization, and discloses a thermal coupling multi-scale parallel topological optimization method for additive manufacturing, and the method comprises the steps: dividing a macroscopic design domain into a plurality of macroscopic sub-design domains through a fuzzy C clustering method, and mapping the information of the macroscopic sub-design domains on the microcosmic level as the constraint condition of microcosmic optimization; performing equivalent static conversion on the transient temperature load, and introducing an equivalent thermal load into the multi-scale topological optimization model; macroscopic and microscopic thermal coupling finite element analysis is carried out according to the thermal coupling control equation, and a displacement vector matrix is solved by using an HHT-alpha method; sensitivity analysis is carried out on macro and micro objective functions and constraint conditions, and a moving asymptote MMA method is used as a solver for macro and micro design variable updating; and filling the microstructure into the macroscopic configuration to obtain an overall configuration, judging a convergence condition, and if the condition is met, outputting an optimal material distribution structure and an optimal microscopic configuration. The method can better reflect the real working state of the workpiece.

The invention belongs to the technical field of rapid calculation of a temperature field of a transformer winding, and particularly relates to a method for extracting a transient temperature rise main mode of the transformer winding by using a mixed norm. Comprising the following steps: S1, setting simulation step length and time, and determining a winding temperature rise sampling analysis point; s2, acquiring temperature rise distribution of a winding temperature field from the first sampling moment to the + 1th sampling moment, and constructing matrixes Tk and Tk + 1; s3, calculating D according to dynamic modal decomposition; s4, calculating an infinity-norm and a 2-norm of the matrix row vector, and defining a convex combination of the infinity-norm and the 2-norm as a norm of the matrix row vector; s5, simplifying a calculation formula of Tk; s6, calculating to obtain an instantaneous value of Tk, setting the instantaneous value to be equal to + 1, returning to the step S3, and carrying out winding temperature rise prediction at the next moment; according to the method, the overall and local characteristics of the modes are considered, the accuracy of main mode selection is improved, and the prediction precision of the instantaneous temperature rise of the winding temperature field is improved.

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 relates to the technical field of transient heat conduction, in particular to a composite material transient heat conduction and thermal stress simulation method based on a two-dimensional arbitrary polygon hybrid finite element, which comprises the following steps: S1, determining an analysis model and material attributes, and establishing a transient heat conduction basic equation including boundary and initial conditions; s2, constructing and expanding a generalized variational functional, processing boundary conditions in combination with a Lagrange multiplier method, and discretizing a solution domain into a plurality of independent units; s3, adopting hypothetical temperature field, heat flux field and thermal stress field functions, introducing a discrete finite element format, and deducing a corresponding finite element equation from a functional; and S4, solving a transient temperature field through programming, introducing the transient temperature field into stress analysis, and finally obtaining temperature and stress distribution of the material at different time points. According to the method, temperature distribution and thermal stress of transient heat conduction are solved by hybridizing heat flux finite elements, and a new way is provided for transient heat conduction and thermal stress analysis of the composite material.

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 relates to the field of gas turbines, in particular to a gas turbine pull rod thread service life and anti-loosening optimization method based on a reverse technology, and the thread service life optimization method comprises the following steps: fitting a pull rod pre-tightening stretching amount by adopting normal distribution to obtain a cold-state stretching amount; measuring the main runner gas temperature under normal start-stop and quick start-stop working conditions, and calculating a convective heat transfer coefficient; a transient temperature field is calculated, and then a pull rod pre-tightening force transient change curve is solved; according to the stress and strain of the pull rod thread, respectively calculating the pull rod thread life and the pull rod thread total damage; an unloading groove is milled in the end face, making contact with a wheel disc, of the pull-rod nut, and the optimal solution of the unloading groove of the pull-rod nut is obtained through response face optimization. According to the anti-loosening optimization method, the response surface of the taper angle of the thread teeth of the pull rod thread is optimized on the basis. By solving the optimal solution of the unloading groove, the stress and strain of the tooth root part of the first thread are minimum, and the service life is prolonged; and the taper angle is added on the thread, so that the thread tooth load distribution is more uniform, and the anti-loosening effect is better.

The invention discloses a Foster network model-based cable transient temperature prediction method and a related device. The method comprises the steps of obtaining target cable basic data, actual operation power data, actual environment temperature data and heat dissipation boundary conditions of a target cable; constructing a cable simulation model based on the basic data of the target cable; controlling the cable simulation model to perform transient simulation according to the actual operation power data, the actual environment temperature data and the heat dissipation boundary conditions to obtain a target simulation temperature curve; a target Foster network model is constructed; performing transient temperature prediction through the target Foster network model to obtain a target prediction temperature curve; target model precision is determined according to the target simulation temperature curve and the target prediction temperature curve; and when the target model precision is greater than the preset precision, determining the transient temperature of the target cable according to the target predicted temperature curve. By adopting the embodiment of the invention, the prediction error of the transient temperature is reduced.

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 relates to the technical field of aero-engine tests, and discloses a temperature distortion test device and a design method thereof. An annular space between the inner casing and the inner casing forms a mixing space; the connecting assemblies are connected with the outer casing, and part of the connecting assemblies form a conveying assembly; a first input port is formed in one side wall surface of an injection part of the conveying assembly, and a second input port is formed in the other side wall surface; the gas conveying pipeline is connected with the connecting part; according to the invention, the response speed of the control valve is relatively high, so that the gas conveying pipeline can sensitively convey high-temperature gas flow, transient temperature distortion of the temperature distortion test device can be realized, and in addition, the comprehensive distortion effect can be greatly improved in a downstream and countercurrent combined mode; performance indexes of the temperature distortion test device meet test requirements of transient temperature distortion, so that the temperature distortion test device can realize transient temperature distortion by adopting a high-temperature airflow injection mode.

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 discloses a method and a system for predicting a starting transient temperature field of a photo-thermal steam turbine rotor. The method comprises the following steps of: obtaining material setting, contact construction and boundary conditions of the photo-thermal steam turbine rotor to be predicted, and obtaining steady-state temperature field data of the rotor through finite elements; preprocessing the acquired steady-state temperature field data; exporting a steady-state temperature field of the result, converting the steady-state temperature field into steady-state temperature values of all nodes sorted according to node numbers and adding and generating the steady-state temperature values to obtain a steady-state temperature field sequence; and inputting the preprocessed steady-state temperature field sequence data into a preset transient temperature field prediction model to obtain a to-be-predicted starting transient temperature field of the photo-thermal steam turbine rotor. The system comprises a data acquisition module, a data preprocessing module and a prediction module. According to the invention, rapid and accurate prediction of the temperature field is realized, and a rapid decision basis is provided for operation optimization, life calculation and reliability maintenance of the unit.

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 discloses a three-dimensional microsystem temperature calculation method considering thermal capacity change of a transient thermal analysis model. The method comprises the following steps: extracting anisotropic equivalent thermal conductivity of a substrate of a TCV array embedded in a three-dimensional microsystem; wherein a plurality of chips are arranged on the substrate; obtaining a first anisotropic transient thermal analysis model corresponding to a single chip in the three-dimensional microsystem according to the anisotropic equivalent thermal conductivity; superposing the first anisotropic transient thermal analysis models of the plurality of chips to obtain a second anisotropic transient thermal analysis model; and gradually updating the heat capacity value of the second anisotropic transient thermal analysis model in a plurality of continuous time periods to obtain a final anisotropic transient thermal analysis model corresponding to the last time period, and obtaining the final transient temperature of the three-dimensional microsystem according to the final anisotropic transient thermal analysis model. According to the method, the temperature of the three-dimensional microsystem is calculated, the relation between the heat capacity value of the chip and the temperature is considered, and the method has high precision and short calculation time.

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

The invention 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 relates to a battery liquid cooling temperature prediction method based on a thermal resistance network, and the method comprises the following steps: analyzing the heat dissipation condition of a geometric model, and mastering the overall heat flow direction; node division is carried out on the whole model, and preparation is made for constructing a thermal resistance network; thermal resistance value calculation, wherein a thermal resistance network is divided into battery heat conduction thermal resistance, liquid cooling plate heat conduction thermal resistance, cooling liquid convection thermal resistance and enthalpy change thermal resistance; combing the series-parallel connection relation of the thermal resistance between the network units to form a complete thermal resistance network model; the transient temperature of all nodes can be calculated through a calculation formula by calculating the thermal resistance value between the nodes. According to the method, the temperature distribution of the battery under the liquid cooling effect is rapidly and accurately predicted, a reliable basis is provided for real-time temperature monitoring, the problem that the thermal resistance calculation of the liquid cooling plate is complex is solved, and meanwhile the technical problem that the complex calculation problem caused by follow-up structure and parameter optimization can be rapidly solved through the universality of the method is needed to be solved at present. Compared with the prior art, the device has good market prospect and development space.

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 a fractured formation horizontal well wall stability quantitative control method under transient temperature and pressure coupling, and relates to the technical field of deep oil and gas drilling. The method comprises the following steps: analyzing the internal temperature of a drill column, the annulus temperature and the well wall temperature reflecting the transient temperature difference disturbance boundary effect by utilizing a drilling process API RP 13D rheological drilling fluid circulating temperature field control equation; establishing a dynamic ECD prediction model coupled with the annulus temperature and the pressure disturbance effect, and taking the transient temperature difference between the dynamic temperature of the well wall and the original temperature of the stratum, the transient pressure difference between the transient pressure of the well wall and the original pore pressure of the stratum and the transient stress difference between the transient pressure of the well wall and the original radial stress as dynamic disturbance boundary conditions; a pore pressure field and a stress field of rock around a well of the fractured formation under the heat-fluid-solid coupling effect under the non-uniform ground stress condition are analyzed in combination with a dual-pore thermoelasticity theory, a safe density window of the horizontal well of the fractured formation is determined, and well wall instability can be effectively prevented.