485 results about "Heat transfer process" patented technology

The invention provides a complex geothermal system digital twinning online experiment method based on multi-source data deep fusion, and solves the problems of precise construction of geothermal system digital twinning and low-delay visualization of virtual-real interaction. The method comprises the following steps: firstly, building a typical geothermal reservoir multi-source heterogeneous data parallel acquisition system, and carrying out fine inversion, high-precision identification and continuous correction on geothermal reservoir parameters by using a large amount of field experiment test data; then, a complete physical model of the geothermal system is established, online simulation is conducted on an actual system through high-performance scientific calculation, and mutual calibration is conducted on the actual system and test data; and finally, building a geothermal system digital twinning on-line experiment platform based on real-time acquired test data, a reliable mechanism model and an artificial intelligence method, and realizing accurate measurement and on-line monitoring of a geothermal exploitation process and iterative evolution of a geothermal reservoir exploitation scheme. According to the method, multi-source data of the geothermal system are deeply fused, high-precision online simulation and low-time-delay virtual-real interaction in the geothermal experiment process are achieved, and geothermal storage and exploitation details can be comprehensively transparentized. And furthermore, intelligent and rapid inversion is performed on the multi-scale seepage and heat transfer process of the geothermal reservoir by carrying out a virtual online experiment, so that the scientificity and efficiency of full-life-cycle geothermal exploitation are greatly improved. Meanwhile, a multi-agent collaborative optimization regulation and control framework provided by the method has relatively high expandability and flexibility, and an optimal well spacing design scheme and an optimal experiment scheme of the geothermal well group can be automatically excavated through adaptive optimization and iterative evolution of a system regulation and control strategy; and the method has a very strong application prospect in the distributed optimization field of the geothermal storage virtual experiment.

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 discloses a carbon fiber composite material as well as a preparation method and application thereof. Based on the structural design of the liquid crystal polymer with different dimensions, a liquid crystal polymer molecule assembly layer is constructed on the surface of the carbon fiber, the roughness and surface activity of the surface of the carbon fiber are improved, and meanwhile, the interface performance of the composite material is improved through the efficient redirectionality of the liquid crystal polymer under the microcosmic mesocrystal domain structure and the load. Besides, based on the high orientation of the liquid crystal polymer in the interface phase of the composite material, a multi-dimensional heat conduction network is constructed, the dominant vibration mode of the carbon fiber and the resin matrix in the phonon heat transfer process is effectively coupled, the possibility of carrier phonon scattering at the interface is reduced, the interface thermal resistance is greatly reduced, and the thermal conductivity of the composite material is improved. Therefore, the heat-conducting property of the composite material is improved.

The embodiment of the invention provides a thermal analysis modeling method, device, system and equipment for a high-speed aircraft equipment cabin, and the method comprises the steps: dividing different heat transfer processes of cabin thermal analysis into a plurality of modules according to a heat transfer process and a thermal control scheme, and building a model of each module; according to the module division condition, model parameters of all the modules are determined, and the model parameters comprise fixed parameters and interface parameters; modeling is completed according to the divided different modules and the determined model parameters, and the model is configured and corrected; all the models are connected and coupled, and an overall modular simulation model is obtained and used for analysis and verification; according to the method, local debugging and testing can be carried out under the condition that the design of other modules is not clear, the situation that other modules need to be changed at the same time during later adjustment can be avoided, the universality and debugging performance of a constructed model are improved, and meanwhile the efficiency of thermal analysis design is improved.

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 embodiment of the invention discloses a pipeline heat loss prediction method and device based on online monitoring and a medium. The method comprises the following steps: monitoring thermal parameters of the heat supply pipeline in real time through monitoring equipment deployed on the heat supply pipeline; according to the failure days, the failure range and the failure probability of the heat supply pipeline heat preservation layer, a theoretical formula for calculating heat loss through the heat supply parameters is constructed; the theoretical formula is used as a control equation, and a finite element analysis method is used for conducting simulation analysis on the heat transfer process of the heat pipeline; correcting the theoretical formula by using monitoring data, theoretical data and simulation data to obtain a heat loss prediction model of the heat pipeline; and utilizing the prediction model to predict the heat loss under any heat supply parameter setting. According to the embodiment, the accuracy of heat loss prediction can be improved.

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 charging pile and a charging control method, the charging pile comprises a charging module and a heat dissipation device, one end of the heat dissipation device can be attached to or separated from the charging module, and the other end of the heat dissipation device is communicated with a low-temperature part; the heat dissipation device comprises a magnetic field generator and at least one heat dissipation module. The heat dissipation module comprises a magnetized part and a heat conduction part, the magnetized part and the heat conduction part are sequentially arranged in the direction from the charging module to the low-temperature part, and the magnetized part can move in the direction close to or away from the charging module; the magnetic field generator can provide a magnetic field for the magnetized part in an intermittent mode. According to the charging module, the heat of the charging module can be transferred to the low-temperature part step by step and step by step, heat dissipation of the charging module is achieved, a good heat dissipation effect can be provided, only the magnetized part performs intermittent reciprocating motion in the whole heat transfer process, the magnetic field generator intermittently provides a magnetic field, and unnecessary vibration or noise cannot be generated.

The invention relates to a sweating heat transfer simulation device and method. The device comprises an infrared heating lamp (2) for heating a porous experiment piece (1); the position adjusting assembly (3) is used for adjusting the position of the infrared heating lamp (2); the fixing base (4) is used for mounting and fixing the porous experiment piece (1); and the fixed base (4) is provided with a liquid supply inlet and a measuring port. Compared with the prior art, the device can be used for simulating the sweating heat transfer process of the high-temperature surface of the porous part, and the change process of the surface heat dissipation condition under different hydraulic conditions, different porous styles and different heat flux densities is obtained.

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 provides a 3D printed wall heat transfer process analysis device, which is characterized by comprising a first correction coefficient calculation module used for calculating a first correction coefficient according to a wall volume, a circumscribed rectangle volume, a wall surface area, a convex-free wall surface area and material geometric parameters; the second correction coefficient calculation module is used for calculating a second correction coefficient according to the wall body volume, the wall body surface area, the non-convex wall body volume and the non-convex wall body surface area; and the heat transfer calculation module is used for calculating the surface average heat flow and the surface average temperature as heat transfer process analysis results according to the heat transfer environment parameters, the convex-free material geometric parameters, the thermophysical property parameters, the first correction coefficient and the second correction coefficient in combination with a heat transfer equation. In short, the method can efficiently, conveniently and accurately obtain the analysis result of the heat transfer process.

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 relates to the technical field of heat storage and energy conservation, and provides a moving bed high-temperature particle flow and heat transfer characteristic simulation and prediction method and system based on deep learning and electronic equipment. The method comprises the steps that high-temperature particle flow characteristic numerical simulation is conducted, and a three-dimensional moving bed high-temperature particle flow numerical model is established; simulating association of a bed structure, particle properties and particle accumulation and flow pattern rules, and establishing a particle distribution regulation and control strategy; performing numerical simulation on heat transfer characteristics of high-temperature particles, establishing association between particle flow characteristics and a temperature field, simulating a gas-solid two-phase composite heat transfer process of the particles, and establishing a temperature field control strategy; intelligent prediction of particle distribution and a temperature field is carried out, intelligent prediction of particle distribution and the temperature field at a specific moment is realized based on deep learning, and a regulation strategy based on numerical simulation is optimized. The particle flow and heat exchange characteristics of the moving bed are clarified, a theoretical support and a technical solution are provided for improving the waste heat recovery efficiency of the blast furnace slag, and the energy utilization rate can be increased.

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 utility model belongs to the technical field of butterfly valves, and discloses a butterfly valve with a heating structure, which comprises a butterfly valve main body, a heating assembly is mounted on the butterfly valve main body, the heating assembly comprises a protective shell, a primary motor is mounted on the protective shell, the output end of the primary motor is connected with a screw rod, and the output end of the primary motor is connected with a secondary motor. The end, away from the first-stage motor, of the lead screw is rotationally connected with the butterfly valve body through a bearing, the lead screw is in threaded connection with a movable installation base, the movable installation base is arranged in the protective shell, a heating plate is installed on the movable installation base and stretches into the butterfly valve body, and the heating plate stretches into an inner cavity of the valve body and can make contact with fluid. The heating plate can better cope with the impact of fluid through the positioning structure, the heating plate can be pulled out of the valve body so that the heating plate can be cleaned and overhauled conveniently, the situation that the heating plate is damaged due to the fact that the heating plate is not maintained in time is avoided, and the heating plate can be overhauled conveniently by workers.

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 discloses a building energy management and control optimization method and system considering indoor heat transfer, and the method comprises the steps: building a building third-order thermal parameter model according to a dynamic heat transfer process between rooms; a central air conditioner operation model comprising a water chilling unit energy consumption model, a variable frequency water pump energy consumption model, a cooling tower fan energy consumption model and an indoor unit fan energy consumption model is constructed; according to the invention, the functions of improving the green low-carbon operation effect of the building and giving consideration to the comfort level of the user are realized; through the constructed building energy management and control optimization model, on the basis of considering photovoltaic power generation and rigid load uncertainty, diversified thermal comfort requirements of different rooms and building intra-day operation cost are considered, and multi-target optimization solution is carried out by adopting a deep strategic gradient decision, so that optimal low-carbon operation of the building is realized; the heat transfer effect of the room is considered, comfortable, green and low-carbon operation of the building is promoted, the energy management and control effect of the building is guaranteed, and the system is suitable for being widely popularized and used.

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.