2965 results about "Heat flow" patented technology

The invention relates to the technical field of industrial process intelligent monitoring, and provides a digital twinning-based gas pressure regulation self-regulation intelligent monitoring system, which comprises a data acquisition unit, a digital twinning unit and an execution and feedback unit. The data acquisition unit acquires operation data of the gas pressure regulating equipment in real time, and the operation data are preprocessed and then transmitted to the digital twinning unit. The digital twinning unit constructs a physical mechanism sub-model based on the geometric topology and heat flow coupling characteristics of the gas pressure regulating equipment, and loads a data driving sub-model to form a mixed digital twinning model; and in combination with real-time data mapping and a disturbance-safety boundary condition set, executing predictive iterative simulation to generate a plurality of groups of voltage regulation schemes, and screening an optimal scheme. And the execution and feedback unit converts the scheme into a standardized control instruction to drive pressure regulating equipment and return operation data to realize closed-loop optimization, so that real-time monitoring, high-precision prediction and self-adaptive regulation and control of the gas pressure regulating process are realized under complex working conditions, and the safety, the stability and the energy utilization efficiency are improved.

The invention discloses a single-frame infrared thermal imaging building outer wall hollowing detection method and system based on heat flow evaluation. The method comprises the following steps: acquiring a single-frame infrared thermal image and a visible light image which are synchronously acquired; generating an infrared thermal imaging sequence based on the single-frame infrared thermal image and the Green function of the heat conduction control equation; performing time-space frequency domain transformation and column harmonic function inversion on the infrared thermal imaging sequence, and inversely transforming back to a time-space domain to generate a virtual heat flow image sequence; sequentially carrying out binarization processing and discrimination function enhancement processing on the single-frame virtual heat flow image to obtain an outer wall enhanced binarization image; identifying an interferent from the visible light image by adopting a target detection network; and carrying out registration and mapping on an identification result in the visible light image and the infrared thermal image, and removing interferents in the outer wall enhanced binarization image to obtain a pure outer wall binarization image. The method has the advantages of high environmental adaptability, high recognition precision and the like, and is suitable for safety detection and maintenance of building exterior walls.

The invention discloses a server temperature control method and system based on deep learning, and belongs to the technical field of server temperature control, and the method comprises the steps: firstly, synchronously collecting server hardware temperature, business load and environment parameters, capturing a heat conduction relation through combining a thermal imaging technology, and constructing a dynamic relation network through time-space fusion processing; a heat flow prediction model is constructed based on the network, model parameters are dynamically corrected in combination with thermal response characteristic attenuation coefficients generated by service load characteristic analysis, and temperature distribution changes are predicted; generating a candidate control strategy set, screening an optimal strategy through composite scene simulation, and generating a control instruction; and comparing the actual temperature after the control instruction is executed with the model prediction temperature in real time, switching to a safety control mode when the deviation exceeds a threshold value, and extracting an incremental sample to update model parameters after the deviation is recovered, thereby realizing accurate temperature control.

The invention discloses a server heat dissipation module control optimization method and system based on analogue simulation, and relates to the technical field of multi-physics field coupling modeling, and the method comprises the steps: constructing a multi-physics field simulation twin space, carrying out the heat flow simulation to obtain a heat dissipation simulation data set, collecting the real-time operation parameters of a server, mapping the real-time operation parameters to the space, and carrying out the heat dissipation simulation data set; the heat dissipation simulation data set is combined to deduce and obtain the heat dissipation temperature change trend, heat dissipation requirements are analyzed and determined according to the trend, a feedback data set is obtained through multi-target control and parameter adjustment, the space is corrected through the feedback data set, and a strategy is made to optimize heat dissipation module control. The technical problems that existing server heat dissipation control lacks twinborn simulation, accurate mapping and dynamic data processing support of the server heat flow state are difficult, complex changes of heat flow cannot be adapted, and consequently the heat dissipation regulation and control precision is insufficient are solved, accurate pre-judgment and dynamic regulation and control of the heat dissipation trend of the server are achieved, and the service life of the server is prolonged. And the control accuracy and adaptability of the heat dissipation module of the server are improved.

The invention belongs to the field of production control, and particularly discloses a control method of a thick-wall optical product precision injection molding hot runner system, which comprises the following steps of: acquiring mold geometric data of local thickness distribution in a mold-containing cavity along a melt flowing direction, calculating theoretical cooling time constants of each region by combining material thermophysical parameters, and calculating the cooling time constant of each region; establishing a thickness-cooling rate mapping relation model; predicting the time when the melt reaches each area and the effective cooling time according to an injection time sequence; solving a temperature compensation value of a heating area corresponding to the hot runner by taking the minimum final temperature variance when the key area is ejected as a target; and finally, dynamically applying a compensation value according to a time sequence before the melt arrives, and withdrawing / adjusting after region filling is completed or a pressure maintaining stage is entered. The invention can balance the temperature field of the mold cavity, reduce the refractive index gradient and shrinkage defect, improve the optical performance and yield of the product, and is suitable for precise injection molding of the thick-wall optical product.

The invention relates to a multi-dimensional high-resolution turbine blade heat-flow coupling field synchronous measurement method and system, and the method comprises the steps: obtaining a target spot image of known space distribution in a measurement space, and building a three-dimensional space mapping function; carrying out particle matching on the velocity field measurement original image based on a three-dimensional space mapping function, and reconstructing a three-dimensional particle trajectory by adopting a self-adaptive grid algorithm combined with machine learning to obtain a high-resolution three-dimensional velocity vector field; acquiring a temperature field measurement original image, performing three-dimensional space registration according to a three-dimensional space mapping function, further calculating voxel-level temperature distribution, and inverting a three-dimensional temperature field; and carrying out coupling analysis on the three-dimensional velocity vector field and the three-dimensional temperature field, and outputting a three-dimensional heat-flow coupling cloud picture. According to the invention, multi-dimensional and high-precision synchronous measurement of the temperature field and the velocity field in the complex flow field of the turbine blade is realized, the spatial resolution and dynamic response capabilities are remarkably improved, and a reliable experimental basis is provided for analysis and optimization of the cooling performance of the blade.

The invention discloses an S-shaped micro-channel heat dissipation device with a double-layer turbulent flow structure and a use method, belongs to the field of liquid cooling heat dissipation, and is suitable for heat dissipation of a high-heat-flux device or a heat conduction device. The device comprises a base, a cover plate, a micro-channel body, turbulent flow columns, a flow guide structure, O-shaped sealing rings and quick-screwing connectors, the micro-channel body is provided with S-shaped channels which are vertically symmetrical, the turbulent flow columns are evenly arranged in the centers of the channels, and the top ends of the turbulent flow columns are flush with the end face of the micro-channel body. The turbulent flow columns can be rectangular columns or water-drop-shaped columns which are arranged in a single row or multiple rows at equal intervals and are matched with the flow guide structure to achieve efficient flow division of cold and hot fluid and interlayer heat interaction. Fluid mixing is strengthened through the centrifugal force of the S-shaped channel, a heat boundary layer is destroyed by the turbulent flow columns, and the problems that a traditional straight channel is low in heat exchange efficiency and uneven in temperature distribution are solved. Deionized water or nanofluid is selected as cooling liquid, closed circulation is formed by entering and exiting of the cooling liquid through the quick-screwing connector, and the adaptive scene and the comprehensive performance of the device are further expanded through the multiple rows of turbulent flow columns or the water-drop-shaped turbulent flow columns.

The invention discloses a multi-dimensional data-based temperature prediction method and system for a power integrated module, particularly relates to the technical field of temperature measurement, and is used for solving the problems of temperature field distortion and unreliable measurement result caused by thermal disturbance introduced by a sensor in temperature monitoring of an existing power integrated module. Multi-dimensional temperature data are formed by acquiring measurement data of a plurality of temperature sensors, a virtual heat flow path is reconstructed based on temperature gradient distribution, deviation degree analysis is carried out on the virtual heat flow path and an inherent structure heat flow path of a module so as to judge thermal disturbance influence, and reference isothermal surface topological structure features are acquired when disturbance occurs. A real-time isothermal surface is constructed, a thermal disturbance space position and an influence range are identified by detecting a curvature distribution sudden change area, a local thermal conductivity correction field is established to perform thermal field reconstruction on multi-dimensional temperature data to generate correction temperature field data, and finally a temperature change trend is analyzed according to the correction temperature field data to predict a future temperature state.

The invention provides a deep energy reservoir multi-scale heat-fluid-solid coupling simulation method and system, and belongs to the field of deep energy reservoir numerical simulation. Acquiring spatial distribution characteristics and physical property parameters of different lithologic reservoir media under a micro-scale, and constructing a digital structure model of the reservoir media; a micro-observation action mechanism and a flow mechanism are embedded in the model to obtain a micro-observation numerical model; establishing a mapping relation by solving model structure parameters and physical property parameters of the microscopic numerical model under different thermal-fluid-solid coupling conditions; and on the basis of the mapping relationship, in combination with the macrogeological and engineering data of the target reservoir, establishing a macroscale heat-fluid-solid multi-field coupling control equation and solving, and outputting the multi-physics field response of the target reservoir under the given working condition. According to the method, fine simulation of physical property parameter dynamic transmission and a multi-field coupling evolution process from a micro view to a macro view is realized, and the accuracy and reliability of deep complex reservoir engineering behavior prediction are remarkably improved.

The invention discloses a data center power distribution cabinet energy-saving heat dissipation method based on heat flow optimization, and the method comprises the steps: arranging a multi-source sensing unit for collecting monitoring data, and constructing a heat flow map containing the relation between nodes and edges; establishing a self-evolution heat flow neural map model based on the heat flow map, and dynamically updating an edge weight to output a prediction result; determining a temperature difference and an air flow direction according to a prediction result, and setting a phase change memory air guide composite layer structure; the central controller receives the prediction and air flow state and generates a heat flow control instruction linkage control parameter; an energy bond scheduling mechanism is established, a credit account is set, and cross-cabinet cooling capacity borrowing and repayment operation is executed; and updating the model by using feedback and deviation data, and periodically executing retraining and parameter optimization. According to the invention, intelligent heat dissipation and energy-saving optimization of the data center power distribution cabinet are realized through self-evolution heat flow neural map modeling and a synergistic effect of the phase change memory air guide composite layer and an energy bond scheduling mechanism.

The invention discloses an earth heat flow joint inversion calculation method, device and system, and a storage medium. The method comprises the following steps: 1, obtaining a temperature constraint value; 2, obtaining a thermal parameter constraint value; 3, determining value ranges of thermal conductivity and heat generation rate parameters of each layer section; 4, constructing an initial temperature profile; 5, carrying out inversion optimization to obtain an optimal thermal parameter; and 6, calculating and extracting an earth heat flow value. By adopting the technical scheme of the invention, a high-precision and high-reliability earth heat flow value can be obtained under the constraint of a small amount of measured data.

The invention discloses a rapid heat transfer simulation method and device based on a neural network, and relates to the technical field of physical simulation. The method comprises the steps that a hybrid neural network model is trained, the model learns operator mapping from an input function to a temperature or heat flow field, and meanwhile physical constraints such as a heat conduction partial differential equation are coded into a loss function; for a new simulation task, single forward inference is carried out by using the operator mapping, and an initial prediction result is rapidly generated; then, according to physical constraints of coding, calculating a physical residual error of initial prediction, and when the residual error exceeds a preset threshold value, executing a small amount of optimization iteration by taking the prediction as an initial value to carry out rapid local correction; the problems that a traditional numerical method is long in calculation time and an existing neural network method is insufficient in physical fidelity are solved, and high efficiency and high precision of heat transfer simulation are achieved.

The invention relates to the technical field of fire-fighting simulation, and discloses a fire-fighting fire dynamic simulation system based on multi-physics field coupling. The system collects temperature field distribution data, smoke concentration gradient data, airflow velocity field data and building structure heat conduction parameters of a fire scene; establishing a bidirectional coupling model of a temperature field and a smoke diffusion field, realizing dynamic correction of a smoke convection effect by a temperature gradient through real-time data exchange, constructing a correlation model of an airflow velocity field and a heat conduction parameter of a building structure, and adjusting a velocity field vortex coefficient according to heat flow intensity; integrating the bidirectional coupling model and the correlation model to form a multi-physical field joint calculation framework, and propelling a simulation process by adopting a discrete time slicing mode; and outputting a three-dimensional dynamic simulation map including a temperature field evolution track, a smoke diffusion path and an airflow disturbance range. The system can accurately restore the fire scene multi-physics field synergistic effect process, and provides effective support for fire rescue decision and building fire protection design.

The invention belongs to the technical field of temperature control, and discloses a temperature control method and device of a hot runner system for an inverted mold. The method comprises the following steps: defining a critical melt area in a physical sprue which directly influences the product quality in a sprue of a hot runner system as a virtual sprue; dynamically generating a melt viscosity target track of the virtual gate region according to the type of an injection molding material and an injection molding process stage; based on measurable injection molding process parameters and sprue area temperature, estimating a current melt viscosity value of a virtual sprue area in real time through a state observer; calculating to obtain an optimal power control sequence by adopting a multivariable model prediction controller; and driving a sprue area heater according to the optimal power control sequence, so that the actual change of the melt viscosity of the virtual sprue area tracks a melt viscosity target track. According to the invention, the defects such as salivation and wire drawing can be effectively eliminated, so that the sprue quality stability and the production efficiency are improved.

The invention relates to the technical field of infrared thermal imaging, in particular to a human body analysis method and system based on an infrared thermal image. The method comprises the following steps: acquiring an infrared thermal image sequence of a limb to be detected in a thermal relaxation process; segmenting the image sequence, constructing a topological center line of an effective contour, and defining a heat flow reference direction based on the geometric width change of a cross section along the center line; a temperature gradient vector field is calculated, and an area with the gradient direction and the heat flow reference direction in reverse distribution and containing a closed isotherm is screened out to serve as a thermal topology abnormal area; establishing a biological heat transfer model taking the surface temperature as a boundary condition, performing inverse solution on the thermal topology abnormal region, and performing inverse calculation on a heat source parameter corresponding to the subcutaneous depth; and when the heat source parameter exceeds a threshold value, generating a damage early warning. According to the method, by quantifying metabolic heat abnormality caused by inflammation in tissues, accurate positioning and quantitative evaluation of deep injury of limbs are realized, and the accuracy of human injury detection is remarkably improved.

The invention discloses an energy storage power station battery heat flow digital twinborn simulation and cooling capacity adaptive control method, and relates to the technical field of battery heat flow data processing. The energy storage power station battery heat flow digital twinborn simulation and cooling capacity self-adaptive control method comprises the steps that S1, battery characteristic data and cooling characteristic data are collected and preprocessed, and a standardized heat state data set is constructed; s2, evaluating the overall heat flux density of the battery, and dynamically adjusting the rotating speed of a cooling pump and refrigerant flow distribution; s3, analyzing simulation precision, and correcting cooling boundary conditions in real time; s4, the cooling demand intensity is analyzed, and a graded adjusting instruction of the refrigerant flow and the pump speed is generated based on the demand analysis result; and S5, a cooling capacity distribution instruction is generated and verified, issuing execution is carried out, and preventive adjustment is carried out. The problems that most of current heat management systems lack heat flow multi-dimensional space perception and model coupling capacity, three-dimensional heat distribution cannot be mapped in real time, and fine regulation and control and early recognition of abnormal heat distribution are limited are solved.

A flow direction control device of heating stream and cooling stream is prepared as connecting said device separately to the first heat exchange unit, the second heat exchange unit, air conditioner and compressor for controlling heated working fluid from the first heat exchange unit to be sent to air conditioner for being used as the first heat media or to be sent to the second heat exchanger for being condensed there then to send it to air conditioner for being used as the second cooling media in order to make air conditioner output hot and cold alternatively, enabling to set heating course on the first heat exchange unit for providing the third heat media out.

The invention provides a manufacturing method of an ultra-low dielectric loss high-speed copper-clad plate, which comprises the following steps of: constructing a physical coupling model of a multi-zone independent temperature control module and an electro-thermal conductivity adjusting layer based on the thickness of the copper-clad plate and a thermal response parameter of a resin system; space and time dynamic distribution of heating area power and heat conductivity is achieved; a dynamic thermal boundary regulation and control algorithm, finite element simulation and self-adaptive PID feedback are fused, real-time monitoring and deviation compensation of a temperature field are carried out through infrared thermal imaging and edge calculation, heating and heat dissipation strategies are cooperatively adjusted, a heat flow path can be actively guided, the uniformity of thermal stress distribution and the structural stability are achieved, and the method is suitable for large-scale popularization and application. And the thermal management efficiency of the copper-clad plate in a complex manufacturing environment is improved.

The invention belongs to the technical field of board baking, and particularly relates to a board baking device for circuit board production, which comprises a hot air circulation box, the hot air circulation box is connected with a bearing frame through a box top table, a filter assembly is arranged at the top of the bearing frame, a loading plate is longitudinally and slidably arranged in the bearing frame, a fan assembly is arranged on the loading plate, and a heating assembly is arranged at the bottom of the bearing frame. And a box door is mounted on the hot air circulation box. The air cylinder drives the carrying plate and the fan assembly to move downwards synchronously, in the downward moving process of the carrying plate, the carrying plate drives the push plate to move synchronously through the T-shaped plate, the push plate drives the baffle to slide from the airflow cavity to the heat flow cavity through the connecting rod and the sliding rod, airflow passing through the heat flow cavity is reduced, and the airflow is promoted to enter the hot air circulation box through the airflow cavity; and under the condition of ensuring the airflow intensity, the airflow temperature is reduced, the influence of hot air on lead-free soldering tin on the circuit board is reduced, and the phenomenon of poor contact between the circuit board and a component is avoided.

The invention relates to the field of thermal flow guide path optimization, and discloses an electronic communication equipment heat dissipation method based on thermal flow guide path optimization, which comprises the following steps: arranging a plurality of thermal paths between a chip and a radiator, combining the thermal paths into a network structure in parallel and series modes, and constructing a selectable thermal flow path network structure; collecting real-time temperature and load data of each module, and constructing a multi-dimensional thermal state database in combination with historical operation records and environmental parameters; thermal resistance and module temperature of each thermal path are analyzed, priority is set according to module types and power loads, key modules correspond to specific thermal flow paths, non-key modules distribute thermal flow through remaining paths, and a thermal flow planning scheme is generated; the thermal resistance of each path is adjusted through the phase change material, and a target thermal resistance value is generated; in the chip operation process, the temperature, load and thermal resistance state of each thermal path are continuously collected, and a thermal resistance adjusting instruction is generated; the method has the advantage that the thermal management efficiency and the temperature control precision are 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 field emission thruster extraction electrode indium deposition cleaning temperature control method and system, and relates to the technical field of space electric propulsion, and the method comprises the steps: obtaining multi-source temperature data and electric field intensity data of a target region, and carrying out the time-space fusion processing of the two data, and generating target feature information reflecting the deposition state of an indium material; based on the feature information, a fuzzy PID control algorithm is adopted to generate a power control signal, and then the embedded heating unit is adjusted; monitoring electrothermal characteristics to obtain thermal impedance parameters, and further generating heat flow distribution data; analyzing heat flow data by using a state observer to predict an indium deposition growth trend to obtain deposition rate information, finally determining a cleaning control strategy according to the growth rate, and controlling temperature change in a non-uniform heating mode to enable the indium material to reach a phase change state. According to the invention, the reliability and maintenance efficiency of on-orbit long-term operation of the field emission propeller are improved.

The invention belongs to the technical field of TG-DSC testing of metal powder materials, and particularly relates to an anti-oxidation high-precision TG-DSC testing method of high-temperature alloy powder, which comprises the following steps: placing the high-temperature alloy powder in a furnace body of a TG-DSC instrument, carrying out high-purity argon replacement on the atmosphere in the furnace body by taking high-purity argon as furnace body purging gas, and carrying out high-purity argon replacement on the atmosphere in the furnace body; the initial oxygen content in the furnace body is reduced to 0.1 ppm or below; continuously introducing hydrogen-argon mixed gas as flowing gas into the furnace body, controlling the temperature of the furnace body to be increased to a target temperature, and ending the test to obtain a TG curve and a DSC curve of the to-be-tested high-temperature alloy powder; according to the invention, through physical cleaning of oxygen in the furnace body by circulating vacuumizing before testing and chemical cleaning of oxygen permeating into the furnace body by hydrogen-argon mixed gas in the whole process in the testing process, a dual anti-oxidation barrier is constructed, so that oxidation weight increment and oxidation heat release interference of a powder sample are eliminated fundamentally; therefore, the real mass change and the heat flow signal change of the alloy powder sample in the temperature programming process can be accurately measured.

The embodiment of the invention provides a heat exchange assembly, a battery device, electric equipment and energy storage equipment. The battery device comprises a box body assembly, a battery monomer assembly and a heat exchange assembly, a containing cavity is formed in the box body assembly. And the battery monomer assembly is arranged in the accommodating cavity. The heat exchange assembly is arranged in the containing cavity. Wherein the heat exchange assembly comprises at least two flexible parts, the at least two flexible parts are stacked, a heat exchange flow channel is formed between the flexible parts, the heat exchange flow channel is used for conducting a heat exchange medium, and the heat exchange medium is used for performing heat exchange with the battery monomer assembly. According to the battery device provided by the embodiment of the invention, the energy density of the battery device is favorably improved, and the fitting degree between the heat exchange assembly and the box body assembly and / or the battery monomer assembly can be improved, so that the effective heat exchange area between the heat exchange assembly and the box body assembly and / or the battery monomer assembly is increased; and the heat exchange efficiency and the heat exchange effect of the heat exchange assembly are improved.

The invention discloses a high-heat-flux heat dissipation system for an on-orbit computing power cluster, and belongs to the technical field of spacecraft heat control. The system is independent of a satellite conventional thermal control platform and is specially used for discharging waste heat of an AI calculation array. The system comprises a heat capture unit, a pumpless heat transfer unit and a foldable heat dissipation unit. The heat transmission unit comprises a micro-channel flexible pulsating heat pipe (such as a diamond film material), and the heat pipe spans a folding area and has the functions of structural connection and heat transmission, so that a thermal low-impedance independent channel relative to a satellite structure is formed. Through the design of removing a mechanical pump and removing a mechanical hinge, the problems of large weight, micro-vibration interference, high contact thermal resistance and the like of a heat dissipation system of the computing power satellite are solved, and preferential directional heat dissipation of high-flux heat is realized.

The invention discloses a hot-rolled strip steel coiling temperature control method and related equipment, and relates to the technical field of hot-rolled strip steel, and the method comprises the following steps: determining a constant finish rolling speed of strip steel through a quadratic programming optimization algorithm based on a finish rolling outlet speed set value and a target finish rolling temperature of the strip steel; controlling the strip steel to pass through a laminar cooling area at a constant finish rolling speed and reach a target finish rolling temperature; the steel type specification, the constant finish rolling speed and the target finish rolling temperature of the strip steel are input into the heat flow density prediction model, and the heat flow density self-adaptive coefficient of the laminar cooling area is output through the heat flow density prediction model; based on the heat flow density self-adaptive coefficient and the target coiling temperature of the strip steel, the head preset header water quantity of the strip steel is determined; and in the process that the strip steel passes through the laminar cooling area, the head actual header water quantity of the strip steel is adjusted to the head preset header water quantity, so that the coiling temperature of the strip steel reaches the target coiling temperature.

The invention provides a high-temperature liquid cooling cabinet control system and method based on intelligent energy efficiency optimization, and relates to the technical field of intelligent adjustment control. And meanwhile, constructing a digital twin containing a heat flow coupling simulation model and multi-target dynamic optimization to process real-time operation data of the liquid-cooled cabinet acquired in real time, deducing a heat dissipation result, an energy consumption result and a heat recovery result of the liquid-cooled cabinet, and performing multi-target dynamic optimization by taking the deducing result as a basis. Simulation solution is carried out by taking the purposes of ensuring the safety of a computing chip, reducing the energy consumption and stabilizing the waste heat quality as targets, an optimal control instruction set is obtained, a global dynamic balance point is actively generated in each control period, and low-energy-consumption and stable high-temperature heat output are achieved while the optimal heat dissipation cooling efficiency is ensured. Multi-target maximization cooperation is achieved, the energy utilization rate and the cooling efficiency are improved, waste is avoided, and the cost is reduced.

The invention relates to the technical field of infrared sensors, in particular to a monolithic integrated MEMS out-of-plane thermopile chip and a preparation method thereof, and the thermopile chip comprises a substrate, and a bottom electrode, a thermocouple array, a top electrode and an optical radiation absorption layer which are sequentially arranged on the substrate; the thermocouple array is vertically arranged on the bottom electrode; the thermocouple array comprises a plurality of thermocouple pairs, and each thermocouple pair comprises an N-type thermocouple and a P-type thermocouple; the N-type thermocouple and the P-type thermocouple form a current and heat flow loop in an electric series connection and heat parallel connection mode. According to the invention, the bismuth telluride-based thermoelectric material with low thermal conductivity and high Seebeck coefficient difference is used as the thermocouple material of the out-of-plane thermopile chip, the heat conduction path of the out-of-plane thermopile chip is more direct, the temperature difference in the vertical direction can be directly utilized, and the higher response speed and high sensitivity are expected to be realized due to the more efficient thermal gradient.

The invention discloses a micro-scale turbine blade boundary layer heat-flow double-field synchronous test method and system. The test method comprises the steps that temperature field initial data and velocity field initial data are acquired; based on the initial data of the temperature field and the initial data of the velocity field, the distribution state of the microparticles in the boundary layer is diagnosed, and according to the diagnosis result, the optimal distribution of the microparticles in the boundary layer is obtained by feeding back and controlling the operation parameters of the reverse cyclone separation system; based on the optimal distribution, an improved PIV algorithm is adopted to calculate a boundary layer velocity field, and the improved PIV algorithm is obtained by introducing multistage grid adaptive encryption, physical constraint conditions and a transition area recognition mechanism into the PIV algorithm; a boundary layer temperature field reconstruction model is established, depth phase coupling is carried out on a temperature field reconstruction result and a boundary layer velocity field, synchronous analysis of heat-flow coupling behaviors in a turbine blade boundary layer is achieved, and finally a boundary layer coupling cloud picture reflecting heat-flow interaction characteristics is obtained.

The invention relates to the technical field of battery thermal management, in particular to an energy storage battery module multi-mode heat flow field coupling early warning cooling decision system and method, which comprises a multi-sensor acquisition module, an infrared thermal imaging preprocessing module, a battery pack thermal diffusion mechanism model module, a data fusion model module and a cooling decision module, the core innovation lies in that a battery pack thermal diffusion mechanism model is constructed based on a differential geometry theory, a battery pack surface temperature field is regarded as a Riemannian manifold embedded in a three-dimensional space, early prediction of thermal runaway is realized by analyzing topological structure change of a heat flow field, and a system acquires temperature, pressure, vibration and other multi-modal data of an energy storage battery module and performs thermal runaway prediction on the energy storage battery module. The method comprises the following steps: preprocessing infrared thermal imaging data, generating three-dimensional thermal diffusion data, constructing an electric-thermal-flow multi-physical field dynamic model, identifying a critical point and a topological structure in a thermal flow field, generating thermal field characteristic data, fusing multi-source data to generate a thermal diffusion imbalance criterion, and optimizing cooling parameters by adopting a reinforcement learning algorithm.