13685 results about "Heat transfer" patented technology

The invention relates to the technical field of thermal power plant parameter regulation and control, in particular to an intelligent temperature and pressure regulation method and system for a thermal power plant, and the method comprises the following steps: collecting temperature, pressure and flow data based on heat transfer and flow channels among a boiler, a steam turbine, a condenser and heat exchanger equipment in the thermal power plant; constructing a network structure representing interaction between devices, evaluating heat exchange characteristics of nodes, and constructing heat flow path structure matrix information; according to the method, the complex interaction among the boiler, the steam turbine, the condenser and the heat exchanger equipment is accurately quantified by constructing the heat flow path network structure among the equipment and evaluating the heat exchange characteristics of the nodes. Thermal inertia feedback matrix information is introduced, and transient changes of temperature and pressure are monitored in real time, so that delay and inertia effects in heat transfer and fluid flowing between equipment can be more accurately captured, and the response speed and precision to different loads and working conditions are improved.

The invention relates to the technical field of industrial control systems, in particular to a PET extruder multi-zone intelligent temperature regulation and control system, which comprises a temperature field parameter acquisition module for acquiring the input power, the real-time temperature value, the temperature change rate value and the temperature difference value between adjacent temperature zones of an extruder to obtain a temperature zone associated state set; and summarizing and mapping the temperature zone association state set, and establishing temperature field response characteristics. According to the method, through correlation analysis of the temperature states of the multiple areas, independent adjustment of a single area is upgraded to dynamic optimization based on the thermodynamic coupling relation, and the coordination of temperature adjustment of the multiple areas is improved. Dynamic parameters required by temperature regulation and control can be calculated in real time in combination with the heat transfer rate, the temperature response delay time and the temperature response gain coefficient of the temperature interval instead of depending on a fixed set value, different operation working conditions are adapted, and the regulation and control flexibility is improved.

The invention relates to the technical field of chip testing, and provides a chip temperature characteristic testing method, system and equipment, and the method comprises the steps: obtaining transient thermal response data and steady-state thermal distribution data of a chip, carrying out the feature extraction of the transient thermal response data, obtaining a feature thermal mode set, and carrying out the feature extraction of the feature thermal mode set; performing heat transfer analysis on the steady-state heat distribution data by utilizing the characteristic heat mode set to obtain a long-term temperature drift curve; and evaluating the long-term temperature drift curve to obtain a thermal reliability score and a thermal degradation prediction parameter, and generating life prediction data of the chip based on the thermal reliability score and the thermal degradation prediction parameter. By combining the analysis of transient thermal response data and steady-state thermal distribution data, the accuracy and reliability of temperature characteristic test are improved, and the problem that the traditional method is difficult to accurately capture the transient change characteristic of the chip temperature and identify the long-term temperature drift trend under a dynamic working condition or a complex load condition, and the test accuracy is insufficient is solved.

The invention provides a heat input regulation and control method and system for electric arc additive continuous forming, and relates to the technical field of additive manufacturing, and the method comprises the following steps: collecting process parameters in real time, inputting pretreatment process data into a self-adaptive heat input quantity calculation model, and constructing and calculating to obtain a real-time heat input quantity based on a thermodynamic principle and a heat transfer theory; starting the multispectral imaging equipment, performing real-time temperature field scanning, recording temperature field scanning data, extracting temperature gradient and cooling rate information, performing correlation calculation with real-time heat input quantity, and determining an influence relation evaluation result; generating a heat input sequence according to the influence relation evaluation result; and inputting the heat input sequence into a self-adaptive control system constructed based on a reinforcement learning algorithm, calculating an optimal parameter scheme according to a preset target sedimentary layer performance index and a current temperature field state, adjusting corresponding spatial-temporal distribution of control energy input according to the optimal parameter scheme, and performing control heat input on different positions and different layers of the sedimentary layer.

The invention relates to the technical field of EPP (foamed polypropylene) production and manufacturing, and discloses an EPP foaming process parameter optimization method which comprises the following steps: monitoring temperature field and pressure changes in real time, and judging whether a thermodynamic state deviates from a preset window or not; during deviation, constructing a multi-physics field coupling model to evaluate a bubble growth dynamic unbalance risk, and identifying micro-pore non-uniform distribution characteristics through multi-source sensing data fusion and frequency domain analysis; and judging whether the technological parameters are globally coordinated and regulated based on risks and characteristics, analyzing the heat transfer and heat radiation influence of the temperature control unit, quantifying the parameter regulation sensitivity and determining the regulation priority. The system comprises a thermodynamic monitoring module, a dynamic coupling analysis module and the like. According to the invention, real-time monitoring, accurate analysis and intelligent regulation and control of the EPP foaming process are realized, the process stability and the product quality are improved, and the method is suitable for the field of EPP production and manufacturing.

The invention discloses a heating control system based on solar energy-heat pump-building collaborative optimization and a construction method, and belongs to the technical field of renewable energy source heating. Comprising a parameter acquisition module, a dynamic prediction module and an optimization control module. The method comprises the following steps: constructing a building heat transfer dynamic prediction model, a solar energy performance prediction physical model, constructing a ground source heat pump performance prediction model and a solar energy-ground source heat pump system collaborative optimization control model, and predicting and optimizing system operation parameters in the next day. Through cooperative work of the parameter acquisition module, the dynamic prediction module and the optimization control module, intelligentization and high efficiency of building heating are achieved, solar energy and the heat pump efficiency can be utilized to the maximum extent, the ground source heat pump efficiency is improved, and energy consumption is reduced while the indoor comfort degree is guaranteed. In addition, a time-of-use electricity price mechanism is utilized to further optimize system operation parameters, the system operation cost is reduced, and the energy efficiency and the response capability of the system are improved.

The invention relates to a proton exchange membrane fuel cell (PEMFC) high current density performance prediction method, system, equipment and medium. The method comprises the following steps: establishing a multi-physical field coupling model which comprehensively considers complex processes such as electrochemical reaction, proton conduction, gas diffusion and heat transfer, and describing the change of each physical quantity by adopting a partial differential equation based on a basic physical law; performing grid division and numerical discretization on the proton exchange membrane fuel cell model; selecting model parameters, and verifying the model through experimental data of different working conditions; inputting actual working condition parameters into a model to predict performance, and analyzing a simulation result; using a convolutional neural network, a recurrent neural network and an auto-encoder to extract features from different types of data and fuse the features to form a comprehensive feature vector; a deep neural network prediction model is constructed, and a cross entropy loss function and an Adam optimizer are adopted for training; dropout, L1 and L2 regularization, k-fold cross validation and transfer learning are utilized to optimize the model, and the generalization ability is improved; the system, the equipment and the medium realize high current density performance prediction of the proton exchange membrane fuel cell (PEMFC) based on the method; the prediction precision is improved, the experiment cost is reduced, the internal mechanism can be deeply understood, and powerful support is provided for design optimization, operation management and fault diagnosis of the fuel cell.

The present invention discloses a two-phase numerical simulation method for a microchannel heat exchanger, and the method includes: simplifying a real heat exchange channel into a porous medium model. Governing equations are determined according to two-phase flow and heat transfer characteristics thereof, and the equations are solved iteratively until results converge to complete numerical simulation. The present invention is beneficial to promoting optimization design of two-phase flow microchannel heat exchangers.

A porous media grouting test system and method taking temperature effects into consideration. The system comprises a porous media formation simulation model (1), a grouting system (2), a water level adjustment system, a formation temperature control system and a data analysis system, wherein the porous media formation simulation model (1) is used for simulating a porous media formation; the water level adjustment system and the formation temperature control system are used for simulating the conditions of different water saturation levels and different water temperatures and ground temperatures; and the data analysis system is used for comparing different time-series data collected by sensors such as a temperature sensor and a pressure sensor with data such as temperature data and pressure data that is obtained by means of coupled solving of a heat transfer equation and a momentum equation, so as to verify and analyze a grouting diffusion path. Free simulation of different water saturation levels is realized by means of a water level adjustment system, and simulation of different ground temperatures is realized by means of a formation temperature control system, thereby realizing the research on grouting diffusion under different water levels and different water temperatures and ground temperatures.

A disclosed device cooling system includes a first coolant loop that circulates a first cooling media through a device; a second coolant loop that circulates a second cooling media through the device; a thermoelectric cooler (TEC) positioned between the first coolant loop and the second coolant loop; and control electronics configured to selectively drive the TEC to transfer heat between the first coolant loop and the second coolant loop.

The invention relates to the technical field of system control data processing, in particular to a waste heat recovery heat supply system based on an injection type heat pump, which comprises a multi-source data acquisition module, a genetic algorithm optimization module, a dynamic mode switching module, a thermal stress suppression module and a self-learning updating module. The multi-source data collection module collects industrial waste heat temperature, power grid load and heat supply network backwater flow data through a temperature sensor array and a flow metering device, and feature vectors are extracted through sliding window standardization and principal component analysis. And heat transfer end difference fluctuation is restrained through closed-loop feedback. And the self-learning updating module constructs a multi-parameter incidence matrix to dynamically adjust the weight of a fitness function, and realizes parameter iterative optimization in combination with a historical optimal solution caching mechanism. The problems that the industrial waste heat recovery efficiency is low, thermoelectric coupling adjustment is delayed, and thermal stress of equipment is accumulated are solved.

The invention provides an intelligent electric energy distribution cabinet heat flow field prediction method and system, and relates to the technical field of cabinet heat flow field prediction, and the method comprises the steps: carrying out the clustering analysis of the obtained operation data and material attributes of each region in an intelligent electric energy distribution cabinet, and the element layout information of equipment in the cabinet; respectively establishing a thermal-mechanical coupling model, a fluid dynamic model and an electromagnetic model; and according to the final refined grid model, simulating fluid dynamics by using a motion constraint smoothing particle fluid dynamics method so as to obtain an optimal layout scheme of the internal structure of the intelligent electric energy distribution cabinet. And calculating the optimal layout scheme by using an analog simulation technology to obtain an optimization scheme of air flow and heat transfer in the intelligent electric energy distribution cabinet, and realizing prediction of the heat flow field of the intelligent electric energy distribution cabinet. Accurate prediction and optimization of the heat flow field of the power distribution cabinet are realized, the reliability and safety of a power system are improved, and the accident risk and loss are reduced.

The invention discloses an intelligent self-monitoring temperature management system for a box-type substation, and relates to the technical field of intelligent power grid equipment monitoring. The problems that an existing system is large in temperature measurement deviation, low in reliability, delayed in early warning, inaccurate in hot spot positioning and extensive in heat dissipation control are solved. According to the scheme, multi-source signals are acquired in parallel through a data acquisition module, and a temperature time sequence is extracted; a boundary calibration module is adopted to fuse data to generate a three-dimensional boundary condition; the multi-physical field solving module obtains an internal temperature / stress field; the physical information prediction module is fused with a heat transfer physical constraint training graph neural network to predict a hotspot migration trend; the hierarchical scheduling module is used for solving a fan and oil pump collaborative optimization instruction in real time based on model predictive control; according to the invention, the accuracy of internal temperature monitoring of the box transformer substation, the reliability of hot spot prediction and the accuracy of heat dissipation control are remarkably improved, the insulation life of equipment is effectively prolonged, and the operation safety and reliability of the system are improved.

The invention belongs to the technical field of thermal circuit model construction, and particularly relates to a high-voltage power cable intermediate connection thermal circuit fault modeling analysis method and device, and the method comprises the steps: building a high-voltage power cable intermediate connection thermal circuit fault circuit model through analyzing a cable intermediate connection temperature inversion principle; the method comprises the following steps: establishing a geometric model for multi-physics field analysis of the intermediate connection of the high-voltage power cable by utilizing Comsol finite element simulation software, setting material parameters of each component, and setting field domain parameters; an electromagnetic field module is added, boundary conditions of electromagnetic field analysis are set, and a cable intermediate connection electromagnetic field simulation model is obtained; adding a solid heat transfer module to obtain a solid temperature field simulation model; obtaining an electromagnetic-thermal coupling model, and solving to obtain the temperature, current and loss of the cable middle connection wire core and the outer surface in different insulation states. According to the method, the cable intermediate connection fault problem can be found and predicted, and the reliability and the safety of the power cable are improved.

The invention discloses a hydration heat monitoring and dynamic regulation and control method and system in a mass concrete pouring process, and relates to the technical field of concrete pouring, and the method comprises the steps: pre-burying a plurality of dual-mode temperature measurement probes in concrete, collecting dual-mode temperature field data in the concrete in real time, and synchronously collecting environmental parameters; carrying out preprocessing, dynamic weight distribution and data fusion on the obtained dual-mode temperature field data; according to the unsteady state heat transfer equation and the hydration heat model, a finite element heat conduction model is constructed, and the total hydration heat and the temperature difference trend are inverted through actually measured temperature field data; predicting a concrete core and surface temperature difference and a surface and environment temperature difference in a future set time period by combining an LSTM neural network model; and according to the predicted temperature difference result, the cooling water flow rate and the cooling water temperature are subjected to closed-loop regulation. Through the combination of dual-mode sensor temperature measurement and heat inversion, the hydration heat temperature difference in the concrete can be predicted in advance, a cooling scheme is regulated and controlled in real time in a linkage mode, and temperature stress cracks are avoided.

A heat exchanger positioned within an annular duct of a gas turbine engine is provided. The heat exchanger extends substantially continuously along the circumferential direction and defining a heat exchanger height equal to at least 10% of a duct height. An effective transmission loss (ETL) for the heat exchanger positioned within the annular duct is between 5 decibels and 1 decibels for an operating condition of the gas turbine engine. The heat exchanger includes a heat transfer section defining an acoustic length (Li), and wherein an Operational Acoustic Reduction Ratio (OARR) is greater than or equal to 0.75 to achieve the ETL at the operating condition.

The invention relates to an injection mold temperature control method and device and computer equipment. The method comprises the following steps: acquiring temperature data of a plurality of temperature measuring points of the injection mold to obtain a temperature data matrix; establishing a heating and cooling input matrix and a temperature response matrix, and solving to obtain a heat transfer path coefficient matrix; taking the temperature data matrix as state input, constructing a depth deterministic strategy gradient control network comprising a gating circulation unit and a full connection layer, and performing linear mapping to obtain a hybrid action space; inputting the heat transfer path coefficient matrix and the mixed action space into a training environment, performing iterative training on a depth deterministic strategy gradient control network based on an experience playback mechanism, and updating network parameters by calculating a reward function to obtain a temperature control model; and deploying the temperature control model to a target control system, and calculating a real-time control parameter set. According to the invention, coordinated control of the heating stage and the stabilizing stage is realized, the injection molding period is shortened, and the energy consumption is reduced.

The invention relates to the technical field of remote control, in particular to a steam boiler operation remote dosing control system which comprises a multi-source acquisition module, a state judgment module, a path switching module, a quality verification module and a health evolution module. According to the method, a monitoring system is constructed by fusing multi-dimensional parameters such as flow, pressure and temperature in real time, a single sensor error is eliminated through Kalman filtering, a heat transfer correlation model is established to quantify the water quality and thermal coupling relation, a pipeline blockage critical point is pre-judged based on grey correlation analysis, and non-inductive switching of a dosing path is achieved by adopting a double-electromagnetic-valve redundancy architecture. The stability of medicament conveying is verified by combining the flow offset of a standby path, closed-loop comparison of a concentration amplification value and a target value is synchronously executed to trigger self-calibration to correct the feeding deviation, a water quality adjustment-path switching-precision verification linkage control chain is formed, the abnormal response period is shortened, the scaling rate of a heat transfer surface is reduced, and the stability of the heat efficiency of the boiler is maintained. The equipment maintenance period is prolonged.

The invention relates to the technical field of electrical cabinet monitoring, in particular to an electrical cabinet active anti-condensation method and system based on a condensation mechanism mathematical model. According to the invention, a mathematical model based on a condensation formation mechanism is constructed, and environmental meteorological parameters, station room environmental parameters, electrical cabinet internal microenvironment parameters and cable trench state parameters are monitored through a four-stage monitoring system; and fusing the multi-source heterogeneous data, inputting a condensation mechanism mathematical model to calculate a condensation risk index, and adopting a hierarchical response mechanism to cooperatively control an execution mechanism according to the obtained condensation risk index value to realize active defense of condensation. According to the method, the condensation phenomenon with the space-time dynamic characteristic is quantitatively described through a mass transfer and heat transfer coupling equation, a grading prevention and control strategy and a cooperative control algorithm are developed by calculating the condensation risk index, setting the threshold condition and judging the condensation formation risk level, the prevention and control intensity is dynamically adjusted according to the risk level, and the control accuracy is improved. And the risk response speed and the resource utilization efficiency under the complex working condition are obviously improved.

The invention relates to the technical field of finned heat exchangers, and discloses an adjustable finned heat exchanger which comprises a shell, air passing openings are formed in the two sides of the shell, a plurality of heat exchange modules used for heat transfer are arranged in the shell, the heat exchange module located in the middle is fixed to the shell, and the air passing openings are formed in the air passing openings. The other heat exchange modules are slidably connected with the shell through guide mechanisms, the distance between the heat exchange modules can be adjusted through adjusting mechanisms, the heat exchange modules are communicated through second corrugated pipes, and fans are fixed to the inner sides of the two ends of the shell through bolts. According to the heat exchanger, through the movable heat exchange module, auxiliary shaking can be conducted on water drops, the water drops fall off from the heat exchange module, the retention time of the water drops on the heat exchange module is shortened, corrosion of the water drops to the heat exchange module is reduced, and the service life of the heat exchanger is prolonged.

A heat transfer device may be used to provide a thermal conduit from heat generating components mounted on transversely oriented circuit boards. The heat transfer device generally includes a base portion for supporting and thermally coupling with at least one heat generating component on a main circuit board and a transverse portion for supporting and thermally coupling with at least one heat generating component on a daughter circuit board that is oriented transverse to the main circuit board. The base and transverse portions may be made of a thermally conductive material with raised pedestals providing the thermal coupling with the heat generating components. The transverse portion of the heat transfer device may also be designed to facilitate connecting the daughter circuit board to the main circuit board. The heat transfer device may be used in an opto-electronic communications module, such as a broadband digital access (BDA) module used in a hybrid fiber-coaxial (HFC) network.

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

A method of operating a gas turbine engine includes an engine core with a turbine, compressor, fuel combustor, and core shaft; a fan upstream of the engine core; a gearbox that receives an input from the core shaft and outputs drive to the fan; an oil loop system supplying oil to the gearbox; and a heat exchange system including: air-oil and fuel-oil heat exchangers, and wherein the oil loop system branches such that part of the oil flows along each branch and the air-oil and fuel-oil heat exchangers are parallel on different branches; and a modulation valve allows the oil sent via each branch to be varied, the method including controlling the heat exchange system wherein, under cruise conditions, a heat transfer ratio of:rate⁢ of⁢ heat⁢ transfer⁢ from⁢ oil⁢ to⁢ airrate⁢ of⁢ heat⁢ transfer⁢ from⁢ oil⁢ to⁢ fuelis in the range from 0 to 0.67.

The invention discloses an MEMS thermal flow sensor based on a glass film structure and a preparation method of the MEMS thermal flow sensor. The sensor comprises a glass inner silicon substrate, a back cavity, a silicon through column, a heating resistor, a temperature measurement resistor, an environment temperature measurement resistor, a chromium adhesion layer, a PAD port and a silicon nitride protection layer. Wherein the heating resistor is located in the center, and the temperature measuring resistors are symmetrically distributed on two sides of the heating resistor; the back cavity is located on the back of the glass inner silicon substrate, and the heating resistor, the temperature measuring resistor and the environment temperature measuring resistor lead a PAD port to the back of the glass inner silicon substrate through a silicon through column. A thermal temperature difference principle is adopted, and upstream and downstream temperature measuring resistors form a Wheatstone bridge. When the flow velocity is not zero, the Wheatstone bridge outputs, and the larger the flow velocity is, the larger the output is. Based on the glass and silicon composite substrate, the suspension film structure is formed through the silicon etching process, transmission of heat to the substrate is greatly reduced, and the heat utilization rate is increased.

The invention relates to the technical field of temperature monitoring, in particular to an electric heat conduction assembly temperature monitoring method and system for collaborative optimization, and the method comprises the steps: collecting a temperature data sequence of an electric heat conduction assembly; acquiring a heat exchange regulation factor of each sudden change point of each temperature monitoring area in each temperature monitoring time period; calculating a heat transfer abnormal coefficient; obtaining a thermal load characteristic factor; obtaining a temperature change correlation coefficient and a thermal load difference coefficient; and obtaining temperature abnormal factors of each temperature monitoring time period, and monitoring the temperature of the electric heat conduction assembly. The accuracy of temperature monitoring of the electric heat conduction assembly is improved.

The invention relates to the technical field of phase change heat storage, in particular to a test method of a composite nanoparticle latent heat system based on a Fibonacci fractal tree-shaped fin. The test method comprises the following steps: firstly, establishing a physical model of a nanoparticle three-sleeve vertical latent heat system based on the Fibonacci fractal tree-shaped fin; secondly, performing two-dimensional simulation analysis on the physical model by adopting a two-dimensional model, simulating the melting and solidification process of the PCM, analyzing the heat transfer performance and energy storage efficiency of the system, building an experimental device of a nano-particle three-sleeve vertical latent heat system based on the Fibonacci fractal tree-shaped fins, selecting proper PCM and nano-particles, simulating different working conditions, and establishing a three-sleeve vertical latent heat system based on the nano-particle three-sleeve vertical latent heat system based on the Fibonacci fractal tree-shaped fins. And finally, comparing a simulation result with an experimental result, adjusting parameters of a simulation model, improving the accuracy of the simulation result, analyzing the influence of different fin bifurcation angles, nanoparticle types, wall surface temperatures and fin materials on the heat transfer performance and energy storage efficiency of the system, and providing guidance for optimal design of the system.

A heat exchanger positioned within an annular duct of a gas turbine engine is provided. The heat exchanger extends substantially continuously along the circumferential direction and defining a heat exchanger height equal to at least 10% of a duct height. An effective transmission loss (ETL) for the heat exchanger positioned within the annular duct is between 5 decibels and 1 decibels for an operating condition of the gas turbine engine. The heat exchanger includes a heat transfer section defining an acoustic length (Li), and wherein an Operational Acoustic Reduction Ratio (OARR) is greater than or equal to 0.75 to achieve the ETL at the operating condition.

The invention discloses a thick plate welding residual stress numerical prediction method based on heat-fluid-solid multi-field coupling, which combines computational fluid dynamics with a finite element method, and comprehensively considers the flow characteristic and thermodynamic effect of liquid metal. In the CFD, the influence of metal melting, molten pool flowing, surface tension, buoyancy, heat transfer and fluid flowing on the geometric shape and temperature distribution of the weld joint is simulated, in the FEM module, the geometric shape and temperature difference of the weld joint are calculated based on the CFD, residual stress and deformation are further simulated and analyzed in combination with a life-death unit technology, and through the FEM module, the residual stress and deformation of the weld joint are obtained. The forming mechanism of the convex welding seam, the evolution rule of the thick plate welding residual stress and the influence of the geometrical shape on residual stress concentration are systematically researched.

The invention relates to the field of automatic control, in particular to a humidity control method and system for a switch cabinet, and the method comprises the steps: obtaining the temperature values and humidity values of a plurality of time points in the switch cabinet, and calculating the dew point temperature in the switch cabinet based on the temperature value and humidity value of a high-temperature region at the current moment. In consideration of unbalanced temperature distribution in the switch cabinet, whether condensate water is generated in the low-temperature area is mainly considered, and the temperature of the low-temperature area is mainly influenced by the heat transfer effect of the high-temperature area and the environment where the low-temperature area is located. Therefore, the temperature range of the low-temperature region is estimated on the basis of a pre-constructed temperature distribution model, the temperature value of the high-temperature region, and the ambient temperature. And determining whether the temperature of the low-temperature area is lower than the dew point temperature or not through trend analysis and dew point temperature comparison. And if the possibility exists, the water vapor condensation risk is speculated to exist. When water vapor condensation risks exist in the low-temperature area of the switch cabinet, the dehumidification module is controlled to dehumidify the interior of the switch cabinet, and water vapor condensation is avoided.

The invention discloses a slab surface crack prediction method based on PSO-MXGBoost and a prediction model construction method, and belongs to the technical field of surface defect prediction. According to the method, on the basis of a metallurgical mechanism embedded MXGBoost algorithm, a solidification shrinkage rate dynamic correction item is implanted into a traditional XGBoost loss function, the sample weight is adjusted according to a shrinkage rate coefficient calculated according to steel grade components, a theoretical reference value of crack tendency is quantified through a thermodynamic equation, and prediction output of XGBoost is restrained to conform to a continuous casting solidification heat transfer mechanism; meanwhile, key hyper-parameters of the MXGBoost model are optimized through a PSO algorithm, so that an optimal crack prediction model is obtained. According to the method, the prediction precision of the slab surface cracks can be effectively improved, meanwhile, the hyper-parameters of the MXGBoost model are automatically adjusted through the PSO algorithm, manual intervention can be reduced, the training efficiency and prediction accuracy of the model are improved, and therefore multi-target collaborative optimization of model precision and metallurgical feasibility can be achieved.