373 results about "Heat transfer process" patented technology

The invention discloses a piezoresistive sensor dynamic temperature compensation method based on thermal impedance analysis and an IHHO algorithm, and the method comprises the steps: building a transient thermal impedance network in a heat transfer process of a piezoresistive sensor through the analysis of a thermal convection process and a heat conduction process of the piezoresistive sensor; in addition, according to the invention, the Harlins eagle algorithm is optimized and improved, and the improved algorithm is combined with a surface fitting algorithm, so that the temperature of the piezoresistive chip can be calculated according to the temperature of the piezoresistive chip. And training the parameter identification model to obtain a correction model, namely a temperature compensation model, for realizing dynamic temperature compensation of the piezoresistive sensor, and further realizing dynamic temperature compensation of the piezoresistive sensor through the temperature compensation model. The problem that an existing piezoresistive pressure sensor is poor in temperature compensation effect in a dynamic environment is solved.

The invention provides a method for evaluating submarine natural hydrogen distribution and reserves, and relates to the field of submarine hydrogen energy exploration. A solution for evaluation through a numerical simulation means is provided in combination with a seabed natural hydrogen favorable zone, and before seabed observation, a potential distribution area is researched based on abnormal characteristics in combination with numerical simulation to determine a favorable target, so that the research purposes of effectively reducing exploration cost and improving detection accuracy are achieved. For the determined serpentine region, simulating material migration, deformation and heat transfer processes by constructing a continental and ocean region lithosphere model so as to obtain a mantle peridotite serpentine process and a corresponding relation between mantle peridotite serpentine and hydrogen production; through carrying out typical profile analysis on a plurality of construction units, the relationship between the crustal thickness and the serpentine quality in different environments is constructed, and finally, the distribution and the resource quantity of seabed hydrogen in a determined area are predicted.

The invention discloses a rock-soil temperature field rapid solving method suitable for a ground source heat pump system, and the method comprises the steps: firstly building a three-dimensional unsteady-state heat transfer model in consideration of a buried pipe coaxial structure, a porous arrangement form and the characteristics of a multilayer heterogeneous soil body in the ground source heat pump system; then simulating a thermal response process by using the model, constructing a multi-domain coupled thermal conduction augmentation matrix, performing POD on the matrix, extracting a dominant mode function of a temperature field, and constructing a low-dimensional POD-based mode space; and finally, constructing a POD-Galerkin low-order model, simulating a buried pipe group soil temperature field, performing inversion of a heat source function, and outputting stratum thermophysical parameters. According to the method, the calculation efficiency and the simulation precision of the porous coupling and long-period unsteady state heat transfer process are remarkably improved, the problem that traditional finite element and finite difference methods are high in time consumption in porous strong coupling modeling is solved, and rapid prediction of the soil temperature and robust recognition of the heat source function under a complex stratum and a heat exchange structure can be achieved.

According to the transition prediction method suitable for the wide Mach domain of the high-speed aircraft provided by the invention, temperature and Mach number coupling correction is performed on key parameters in time scale modeling of a second mode of a transition mode, and simplified processing of a flow compression effect and a heat transfer process by traditional single parameter association is broken through; the influence of an incoming flow disturbance effect is embedded in the mode, and dynamic association between test environment parameters and transition triggering criteria is achieved; according to the improved mode, accurate prediction results are obtained on a plurality of examples with the Mach number range of 4.7-14, the research results provide a more reliable theoretical tool for aerodynamic configuration optimization of a high-speed aircraft with a wider speed range, and the method has important engineering guiding significance for thermal protection system design of a new-generation reusable aircraft.

The invention relates to the technical field of geothermal science, in particular to a geothermal resource quantity calculation method and device. The geothermal resource quantity calculation method comprises the following steps: acquiring geological parameters of a geothermal evaluation area; according to the geological parameters, constructing a three-dimensional geological model of the geothermal evaluation area; according to the three-dimensional geologic model, a heat reservoir of a geothermal evaluation area is selected; temperature numerical simulation in the heat transfer process is carried out on the geothermal evaluation area, temperature field distribution of the geothermal evaluation area is obtained, and the temperature field distribution is used for representing the temperature of each position point in the geothermal evaluation area; and according to the temperature of each position point in the thermal reservoir, performing integral calculation on the thermal reservoir to obtain the geothermal resource quantity of the thermal reservoir. According to the embodiment of the invention, the accuracy of geothermal resource quantity calculation can be improved.

The present application provides a dynamics analysis method for an ammonia combustion refrigeration system in large park cooling. The method comprises: on the basis of a geometric structure of an ammonia combustion chamber and a fuel supply amount, calculating the heat generated by ammonia combustion and analyzing the heat transfer mode between the combustion chamber and a desorption tower, the heat transfer mode comprising direct contact type heat transfer and partition type heat transfer, and simulating the heat transfer process to obtain and draw the heat flux distribution of the tower wall surface; on the basis of the flow state and a relationship curve between the pressure drop and the flow velocity, analyzing the desorption process of a refrigerant in a solution, and on the basis of the concentration of the solution, a boiling point of the refrigerant, and the vapor pressure, calculating local desorption rates at different positions in the desorption tower and the refrigerant vapor generation amount; and on the basis of the heat flux distribution, calculating the temperature distribution of the solution, and analyzing the heat transfer and mass transfer processes in the desorption tower to obtain a local heat transfer coefficient and the mass transfer efficiency distribution of the surface of a filler.

The invention provides a switch cabinet structure optimization method, system and device based on temperature field distribution and a medium, and belongs to the technical field of power switch cabinet optimizing.The method comprises the following steps that a geometric model of a switch cabinet is determined, and a finite volume method is used for establishing a heat-flow coupling thermal analysis model of the switch cabinet; analyzing a heat transfer process of the switch cabinet, setting boundary conditions through a convection effect and a radiation effect, and operating a heat-flow coupling thermal analysis model of the switch cabinet to obtain distribution characteristics of a temperature field and a velocity field in the switch cabinet; determining influence factors of the switch cabinet, designing an orthogonal test, and analyzing the influence degree of the change of each influence factor on the average temperature rise of the internal surface of the switch cabinet; and selecting the key factors of which the influence degrees are greater than a threshold value, and performing optimization by using a switch cabinet optimization model of a BP neural network combined genetic algorithm to obtain an optimal switch cabinet structure design scheme. The design accuracy and efficiency of the switch cabinet are improved, the design cost is reduced, and meanwhile the stability and safety of the switch cabinet are improved.

The utility model relates to a combined heat dissipation type power compensation capacitor, which comprises a capacitor body, a cooling mechanism used for cooling the capacitor body is arranged on the outer side of the capacitor body, a heat dissipation mechanism used for cooling the cooling mechanism is arranged at the upper end of the cooling mechanism, and a heat conduction mechanism used for conducting heat is arranged on the outer side of the cooling mechanism. The two sides of the heat dissipation mechanism are each provided with an air draft mechanism used for driving air to flow, the air draft mechanisms drive fan blades to rotate through a motor, directional air flow is generated, flowing of air around the heat dissipation mechanism is accelerated, more heat is taken away, a low-temperature area is formed, and continuous heat dissipation is promoted; the working principle of the whole combined heat dissipation type power compensation capacitor is a high-efficiency heat transfer process from the capacitor body to the environment, and stable operation and long service life of the capacitor body are ensured through preliminary cooling of the cooling mechanism, heat conduction of the heat conduction mechanism, wide heat dissipation of the heat dissipation mechanism and forced air cooling of the air draft mechanism.

The invention particularly relates to a real-time monitoring method and system for a boiler flue gas waste heat recovery device, and relates to the technical field of boiler energy saving and monitoring. A heat transfer process mechanism modeling and reference relation building module; a dynamic heat transfer coefficient multi-field coupling optimization module; and a scaling evolution intelligent monitoring and early warning decision module. According to the invention, standardization processing of the multi-source heterogeneous data acquisition module is combined with heat transfer mechanism modeling to construct a reference framework, and deep fusion of a physical model, an LSTM neural network and Kalman filtering is realized through the dynamic heat transfer coefficient multi-field coupling optimization module, so that the limitation that physical model simplification and data driving lack mechanism support in traditional monitoring is broken through; complex working conditions such as multiphase flow interference and dust deposition abrasion are accurately covered by calculation of the dynamic heat transfer coefficient, the health state of equipment can be fed back in real time through corrected parameters, and abnormity can be rapidly recognized.

This invention provides a hydrogen-heated solid-state hydrogen storage device and a solid-state hydrogen storage system. The solid-state hydrogen storage device includes a hydrogen inlet, a hydrogen diffusion section, several reaction tubes, a hydrogen collection section, and a hydrogen outlet. The first end of each reaction tube is connected to the hydrogen diffusion section, and the second end of each reaction tube is connected to the hydrogen collection section. A vent pipe is installed inside each reaction tube, and hydrogen storage material is filled between them. The increased volume due to the expansion of the hydrogen storage material can be absorbed by the deformation of the vent pipe. The solid-state hydrogen storage system consists of the aforementioned hydrogen storage device, a heater, a cooler, a circulating fan, and circulating pipelines. In the solid-state hydrogen storage device provided by this invention, hydrogen directly exchanges heat with the hydrogen storage material, improving the mass and heat transfer process and increasing the system's heat exchange efficiency.

The invention discloses a construction method of an underground heat exchange model of a U-shaped middle-deep layer buried pipe. The construction method comprises the steps of collecting monitoring data of underground heat exchange of a preset buried pipe, preprocessing the monitoring data, and constructing a physical model of the underground heat exchange of the U-shaped middle-deep layer buried pipe based on the monitoring data; soil temperature distribution and wall temperature are obtained based on the physical model according to the heat transfer process outside the drill hole, and the water temperature at the next moment is obtained based on an energy equation of circulating fluid according to the heat transfer process inside the drill hole; performing underground temperature field evolution simulation analysis on the basis of the mathematical model of the soil temperature distribution, the wall temperature and the water temperature at the next moment to obtain simulation data, and constructing a U-shaped medium-deep buried pipe underground heat exchange model on the basis of underground temperature field evolution simulation; time sequence deviation analysis is conducted on the simulation data and the monitoring data to obtain time deviation data, the U-shaped middle-deep layer buried pipe underground heat exchange model is optimized according to the time deviation data, and a target model is output.

The invention discloses a heat transfer process simulation method and device in visual flow and a storage medium, and the method comprises the steps: (1) determining a full-field source item f (x) and a thermal function Hb (x) value on a boundary according to the data of a flow velocity field and a temperature field; (2) carrying out collision on the distribution function ni (x, t) under the action of a full-field source item f (x) to obtain # imgabs0 #; (3) processing distribution function collision at a boundary; (4) migrating the distribution function # imgabs1 # after collision to the adjacent grids according to the discrete grid speed; (5) calculating a thermal function H (x, t) = sigma ini (x, t) according to the distribution function; (6) calculating the change of a full-field thermal function, and carrying out termination judgment; and (7) visualizing the hot line distribution according to the thermal function distribution. The method has good parallelism performance and a simple boundary format, and meanwhile has good applicability to boundary non-body-fitted grids.

The invention belongs to the technical field of photo-thermal performance optimization, and relates to a photo-thermal performance optimization method based on an aerogel microstructure. Comprising the following steps: S1, establishing a microcosmic porous structure of aerogel: constructing an aerogel two-dimensional porous structure with a corresponding size based on a four-parameter random growth model; s2, simulating the solar radiation absorption and scattering characteristics of the tabular aerogel: simulating the transmittance of the tabular aerogel based on a Monte Carlo method, and calculating the solar radiation extinction coefficient of the aerogel; s3, simulating the heat transfer process of the aerogel based on a lattice Boltzmann model, and calculating the heat conductivity coefficient of the aerogel; and S4, constructing a dynamic heat transfer model, and simulating the energy consumption performance of the aerogel glass in an actual environment. According to the invention, the photo-thermal performance of the aerogel is accurately simulated, and the dynamic heat transfer model is combined to evaluate the energy consumption performance of the aerogel in an actual environment. By optimizing the microstructure of the aerogel, the photo-thermal performance and the energy efficiency of the aerogel are remarkably improved.

The invention discloses a buried pipe temperature response calculation method considering underground water seepage and ground temperature gradient, and belongs to the field of building environment and energy application engineering.The buried pipe temperature response calculation method comprises the steps that a shallow buried pipe heat exchanger is regarded as a finite long-line heat source model, and when underground water seepage passes, the shallow buried pipe heat exchanger is regarded as a finite long-line heat source seepage model; an energy control equation containing a soil heat conduction item, an underground water seepage convection item and a ground temperature gradient correlation item at the same time is established, and initial temperature distribution based on ground temperature gradient, ground surface fixed wall temperature and boundary conditions of an underground limited boundary are set; and finally, obtaining an analytical solution expression of the change of the temperature at any position of the underground soil along with the time through analytical solution. According to the method, the defect that a traditional model ignores key environmental factors is overcome, the heat transfer process of heat conduction and convection coupling can be accurately simulated, the accuracy of temperature field prediction and the reliability of long-term performance evaluation are remarkably improved, meanwhile, the complexity of numerical calculation is avoided, and the calculation efficiency is improved.

The invention provides a method for calculating the inner wall temperature based on the condensation heat transfer process of a blast furnace gas pipeline. The method for calculating the temperature of the inner wall based on the condensation heat transfer process of the blast furnace gas pipeline comprises the following steps: S1, calculating the thermal resistance of convective heat transfer between the inner wall of the gas pipeline and blast furnace gas; s2, calculating the thermal resistance of heat conduction between the gas pipe walls; s3, thermal resistance of convective heat transfer from the outside of the gas pipeline to the outer wall of the gas pipeline is calculated; and S4, calculating the corrosion temperature of the inner wall surface of the blast furnace gas pipeline according to the total thermal resistance, the blast furnace gas temperature and the environment temperature. According to the method for calculating the inner wall temperature based on the condensation heat transfer process of the blast furnace gas pipeline, the heat resistance of each part of the blast furnace gas in the heat transfer process is calculated on the basis of the heat convection and heat conduction process, and the scientific and systematic method for calculating the inner wall temperature of the blast furnace gas is established; the corrosion condition of the blast furnace gas pipeline can be conveniently predicted, and the safe operation of the blast furnace gas pipeline can be monitored.

The invention relates to the technical field of metal solidification numerical simulation and calculation material science, and provides a continuous casting billet solidification process phase field simulation method and system based on dynamic temperature boundary conditions. The method comprises the following steps: S1, collecting physical property parameters and component data of steel, continuous casting machine crystallizer parameters and secondary cooling working condition parameters; s2, selecting a phase field method model, and determining initial parameters; s3, solving a phase field control equation, a solute field control equation and a temperature field control equation to obtain phase field variables evolved along with time, solute distribution data and temperature field data; when the temperature field control equation is solved, continuous casting process parameters are introduced into the phase field model, and the actual boundary heat transfer process is simulated by considering the combination of D, N and R thermal boundary conditions. According to the method, any combination and stable solution of the three types of thermal boundary conditions are realized, the adaptability and calculation efficiency of phase field simulation to the complex thermal boundary conditions in the solidification process are remarkably improved, and the analysis precision, the calculation efficiency and the engineering adaptability are considered.

The invention discloses a thermal power generating unit coordination control data and mechanism hybrid modeling method and device, computer equipment and a computer readable storage medium, and relates to the technical field of thermal energy engineering and power system modeling and control. Establishing a high-precision dynamic mechanism model of the working medium flow and heat transfer process of the boiler-steam turbine system; then, constructing an error correction model fusing the long-short-term memory network, the convolutional neural network and residual connection; and finally, fusing the mechanism model and the error correction model through parallel computing to form a dynamic hybrid model with physical interpretability and high precision. Through the hybrid modeling strategy, the prediction accuracy of key parameters such as the main steam pressure, the separator outlet steam enthalpy value and the unit load in the wide load range, especially under the dry-state operation working condition is remarkably improved, and a reliable model basis is provided for designing an advanced unit coordination control system.

The invention relates to the technical field of self-baking electrodes, in particular to an alternating-current variable-frequency self-baking electrode baking state prediction method for an iron alloy submerged arc furnace, which comprises the following steps: acquiring input parameters of a self-baking electrode, and simplifying an electromagnetic field and a heat transfer process related to the self-baking electrode into a two-dimensional axial symmetry state; constructing an electromagnetic field mathematical model, and obtaining expressions of the magnetic field intensity and the current density of the self-baking electrode; constructing a temperature field mathematical model of the self-baking electrode of the submerged arc furnace and an expression of electrode pressure release time; a finite volume method is utilized to discretize an electromagnetic field mathematical model and a temperature field mathematical model, and on the basis of input parameters and electromagnetic thermal boundary conditions, an implicit solution method which is good in convergence and stability and can achieve a large grid size is adopted to solve the magnetic field intensity, the current density, the temperature distribution and the electrode pressure release time of the self-baking electrode. The method can accurately and quickly predict the electrode pressure release time, and effectively reduces the roasting control cost of the self-roasting electrode of the submerged arc furnace.

The invention relates to the technical field of heat exchanger design, and provides a supercritical LNG heat exchanger design method and system.The method comprises the steps that A, a wing-shaped fin spoiler is adopted to be installed in a PCHE channel, an internal spoiler structure matched with the channel is formed, and the heat transfer performance of a supercritical LNG mixed working medium is enhanced; b, by adjusting the heat transfer process of the mixed working medium in the channel, the heat transfer performance and the flow resistance of the mixed working medium in the channel of the PCHE are balanced; c, regulating and controlling operable parameters through a multi-objective numerical optimization technology so as to balance the channel internal heat transfer performance and flow energy consumption of the PCHE; wherein the operable parameters are used for directly regulating and controlling the heat transfer and flow process in the PCHE channel. According to the invention, the average wall temperature can be reduced by 2.24% through the wing-shaped fin structure, and the increase of the pressure drop in the PCHE channel is controllable.

The invention relates to a temperature control method of cooking equipment, on one hand, non-contact, non-intrusive, global and high-resolution perception of a temperature field of a target area in a cavity of the cooking equipment is realized by collecting multi-source temperature data and reconstructing temperature distribution of a reference temperature measurement plane parallel to a heating array; the problem of inaccuracy caused by dependence on finite point temperature measurement or simple coefficient estimation is solved; on the other hand, temperature deviation is calculated by coupling reconstructed temperature distribution and side wall temperature data, power is decided in combination with heat transfer characteristics in the normal direction of the heating array, accurate modeling and dynamic compensation of the heat transfer process in the three-dimensional space are achieved, and therefore the inherent temperature difference between the center and the edge of the cavity can be eliminated in a targeted mode; energy transfer loss caused by thermal resistance can be compensated; finally, through the step of independently controlling each heating unit according to the target power, a highly uniform and stable temperature field can be formed and maintained in the whole cooking process.

The invention discloses an IGBT module junction temperature prediction method and system based on an LSTM thermal neural network, and belongs to the technical field of IGBT application. Comprising the following steps: analyzing the unsteady state heat transfer characteristics of multiple layers of materials in the IGBT module, and constructing a discrete heat transfer (DHT) equation; a training data set containing temperature response data under different power loss conditions is generated through finite element FEM simulation; constructing an LSTM thermal neural network junction temperature prediction model embedded into a physical layer, wherein the physical layer comprises a sub-neural network to extract a mapping relation between input features and thermal resistance and thermal capacity; and training the model by using the training data set, and converting the DHT equation as a physical constraint into a model parameter dynamic constraint condition, thereby realizing prediction of the junction temperature of the IGBT module under different operation conditions. According to the method, the physical heat transfer process and the LSTM network are fused, limitation of an existing method is overcome, accurate and rapid prediction of the junction temperature of the IGBT module is achieved, and reliability and economical efficiency of thermal management of the IGBT module are effectively improved.

The utility model discloses a battery device and an electric device. The battery device comprises a plurality of single batteries, a composite heat insulation pad is arranged between every two adjacent single batteries, each composite heat insulation pad comprises at least one first heat insulation layer and at least one second heat insulation layer, and the first heat insulation layers and the second heat insulation layers are alternately stacked. The first heat insulation layer is a ceramic fiber heat insulation layer or an aerogel heat insulation layer, and the emissivity of the second heat insulation layer is smaller than or equal to 0.3. The first heat insulation layer can play a better role in insulating heat conduction and heat convection; in the heat transfer process, besides heat conduction and heat convection, the form further comprises heat radiation, the higher the temperature is, the larger the radiant heat proportion is, the emissivity of the second heat insulation layer is low, most of the radiant heat can be isolated, the second heat insulation layer and the first heat insulation layer are structurally compounded, the total heat of heat transfer between the battery monomers can be reduced, and the heat transfer efficiency is improved. Therefore, the risk of thermal runaway of the battery device is reduced.

The invention discloses a multi-scale bidirectional coupling sweating cooling simulation method which comprises the following steps: firstly, on a mesoscale, constructing a mesoscopic flow model, simulating flow of a coolant, and obtaining parameters such as porosity, permeability and inertia coefficient of a porous medium; introducing the obtained parameters into a porous medium panel area of a thrust chamber geometric model constructed under a macroscale to realize cross-scale parameter coupling; the flow and heat transfer process in the thrust chamber geometric model after cross-scale parameter coupling is simulated, and the speed, pressure, temperature and local heat flux density distribution of a combustion chamber and a porous medium panel area under the macroscale are obtained; and taking the local heat flow density as a new wall surface boundary condition, capturing the flow and heat transfer characteristics of a coolant in pores under a thermal state working condition based on the mesoscopic flow model, and further evaluating the overall cooling performance and the thermal protection effect of the porous medium panel. Through coupling calculation of the mesoscopic pores and the macroscopic combustion chamber, the accuracy and reliability of prediction of the cooling performance of the porous medium are improved.

The invention relates to the technical field of computer aided design, in particular to a heat energy storage heat recovery rate evaluation method based on finite element analysis, which comprises the following steps: importing a CAD geometric model of a heat energy storage system, analyzing the topological relation, shape attribute and component naming information of the geometric model, and acquiring original data of geometric characteristics. According to the method, a functional area system is constructed based on original data of geometric features, classification operation of a fluid domain, an energy storage material domain and a heat transfer channel is completed in a structural analysis stage, and an initial binding relation between structural attributes and functional attributes is formed. In the material parameter and grid division processing process, directional configuration of material thermophysical property parameters is achieved through structural function mapping, meanwhile, heterogeneous grid parameters and partition control precision and density are set for a fluid boundary layer and a phase change area, and the resolution capacity for details of the heat transfer process is enhanced.

The invention relates to the technical field of building carbon emission measurement and calculation, and provides a building envelope structure carbon emission dynamic measurement and calculation method which comprises the following steps: step 1, area delimitation: dividing building areas, and combining the same kind of building areas; step 2, individual enclosure structure collection: the unmanned aerial vehicle is used for aerial photography to collect all-angle camera pictures of the individual building enclosure structure in the building area; by considering different time variation and space planning of the building, the heat transfer process of the building envelope and the indoor temperature change are dynamically simulated, the carbon emission measurement and calculation result is updated in real time, and the dynamic change of the carbon emission of the building is reflected in time; the heat transfer and heating capacity of the building envelope structure can be accurately measured and calculated under the influence of solar radiation intensity and outdoor temperature change in different time periods of a building in one day and different orientations, different floors and surrounding environments of the building on heat transfer.

The utility model relates to a vapor chamber with a high-temperature-uniformity bending structure, which structurally comprises a shell, a bending area is arranged on the inner surface and / or the outer surface of the shell, and a plurality of grooves are formed in the bending area. The vapor chamber can solve the use problems that the temperature of a bending area is high when the vapor chamber works due to collapse compression of a steam channel and blocking of the heat transfer process under the bending condition, and good temperature equalizing performance cannot be guaranteed.

The invention discloses a casing thermal deformation test device and a transient deformation simulation method, and the device comprises a test bench which is used for supporting and positioning a casing; the thermal environment simulation mechanism comprises an inner heating piece used for heating the inner surface of the casing and an outer heating piece used for heating the outer surface of the casing, and the heating temperature of the inner heating piece and the heating temperature of the outer heating piece are independently controlled so as to simulate the inner surface heating process and the outer surface heating process of the casing in actual work respectively; the cooling gas simulation mechanism is mounted on the test bed, is used for communicating with the inner cavity of the casing and is used for introducing cooling gas into the casing to simulate the heat transfer process of the cold air side of the casing in the actual working process; the measuring mechanism is used for monitoring the temperature of the inner and outer surfaces of the casing and measuring the thermal deformation of the casing. According to the invention, the simulation of the radial transient deformation process of the case in the working envelope of the aero-engine can be realized under laboratory conditions, the radial deformation of the case in different states can be accurately obtained, and the measurement precision of the thermal deformation of the case is improved.

The invention discloses a Joule hot ammonia decomposition hydrogen production reactor applied to a mobile end in the technical field of ammonia decomposition hydrogen production. The Joule hot ammonia decomposition hydrogen production reactor comprises an inlet end cover, a shell, an insulating seat, an ammonia gas inlet, an outlet end cover, a positive electrode, a negative electrode, a decomposed gas outlet, a conductive overline, a reaction channel, an ammonia gas inlet cavity, a supporting plate, a tube plate, a decomposed gas outlet cavity and an alloy carrier support. Heat is directly supplied to the ammonia decomposition reaction in the mode that the conductive alloy carrier is electrified to generate Joule heat, the heat transfer process is reduced to the maximum extent, the temperature of a catalyst bed can be rapidly increased, energy loss and starting time are reduced, and the device has the advantages of being rapid in response, simple in structure, high in hydrogen production rate per unit volume and the like.

The invention discloses a thermal control device and method based on multi-class phase change coupling and used for electronic equipment. The device comprises a shell and a containing cavity formed in the shell, the containing cavity comprises a first cavity body used for solid-liquid phase change and a second cavity body used for gas-liquid phase change, the first cavity body and the second cavity body are distributed up and down, a heat conduction framework is arranged between the first cavity body and the second cavity body, the second cavity body comprises a steam cavity and a liquid absorption core, and the liquid absorption core is filled with a liquid working medium; the first chamber comprises a composite phase change material composed of porous carbon foam and a phase change heat storage material. According to the embodiment of the invention, the heat is timely absorbed and exported by utilizing the characteristics of gas-liquid phase change ultrahigh heat conduction and solid-liquid phase change constant-temperature heat absorption, and the gas-liquid phase change ultrahigh heat conduction and the solid-liquid phase change constant-temperature heat absorption are fully coupled to show better thermal control performance, so that an efficient heat transfer process under multi-class phase change coupling can be realized; the device has the advantages of light weight, zero energy consumption, reliable performance, excellent uniform temperature, quick response and the like.

The invention discloses a boiler thermal deviation prediction model determination method and device, electronic equipment and a storage medium. According to the technical scheme, by simulating the heat transfer process of the target boiler, the boiler simulation model composed of the combustion model, the water-cooled wall heat transfer model and the water-cooled wall in-tube water power model is determined, and a large amount of temperature simulation data of the superheater wall surface preset point location under different boiler operation data can be obtained through the boiler simulation model; and training the to-be-trained boiler thermal deviation prediction model to obtain the boiler thermal deviation prediction model, thereby solving the problems of large sample data demand of the existing online monitoring boiler thermal deviation prediction model and long time consumption of the numerical simulation boiler thermal deviation model. Through the boiler thermal deviation prediction model, rapid and accurate boiler thermal deviation real-time prediction can be realized.