1528 results about "Heating power" patented technology

The invention relates to the technical field of thermal field modeling and control, and particularly provides a molecular beam epitaxy substrate temperature field control method and system based on artificial intelligence, and the method comprises the following steps: obtaining the all-region temperature data of the surface of a substrate, and the heating power and environment parameters of each region of a heating cavity; inputting the heating power and the environmental parameters into the temperature field model, and outputting a temperature distribution matrix and temperature gradient data of the surface of the substrate; predicting temperature prediction data according to the temperature distribution matrix, the heating power and the sequence data of the environmental parameters in the historical time period; and inputting a state vector formed by the temperature distribution matrix, the temperature gradient data, the heating power data and the temperature prediction data into a deep reinforcement learning model, and then outputting the heating power adjusting quantity of each area to control a temperature field. According to the invention, the problems of insufficient prediction precision and real-time performance of the substrate temperature in the prior art are solved, the influence of environmental factors and heating power on the substrate temperature is considered, and the temperature field control capability is improved.

The invention provides a data center calculation, electricity and heat collaborative optimization scheduling method and system, and relates to the technical field of comprehensive energy scheduling. According to the scheduling method and system, a collaborative scheduling model of computing power, electric power and thermal power is constructed, and a user side thermal demand response mechanism is introduced, so that mismatching of waste heat supply of a data center and user thermal demand in time and space is dynamically relieved, and the waste heat utilization rate and the overall energy efficiency of the system are remarkably improved; by establishing a joint optimization framework, a complex coupling relationship among computing power, electric power and heating power is accurately described and coordinated, so that the comprehensive operation cost of the data center is minimized on the premise of ensuring the service quality of the workload of the data center; and a large language model-assisted deep learning algorithm is further adopted to solve the scheduling model so as to cope with multiple challenges of workload fluctuation, electricity price change and heat demand uncertainty, and a self-adaptive, intelligent and interpretable scheduling decision is realized.

The invention relates to a copper cable insulation layer extrusion molding method and system based on dynamic temperature control, and belongs to the technical field of copper cable production. The method comprises the steps that the surface temperature of a copper core before the copper core enters an extrusion die head and the melt temperature of a plurality of independent temperature control sections divided by the extrusion die head in the material advancing direction are obtained in real time; meanwhile, feedback adjusting quantity is calculated based on the temperature difference between the melt temperature and the preset target melt temperature, the feed-forward compensation quantity and the feedback adjusting quantity are superposed to obtain comprehensive adjusting quantity of the heating power of each section, and real-time closed-loop adjustment is conducted on the heating power of each section of the extrusion die head according to the comprehensive adjusting quantity; and the flow and the temperature of the cooling medium are adaptively adjusted according to the temperature gradient of the surface temperature along the axial direction, and non-uniform gradient cooling is carried out on the insulating layer. The copper cable insulation layer extrusion molding method and system based on dynamic temperature control at least solve the problems of poor thickness uniformity of an insulation layer, large internal residual stress and unstable adhesive force with a copper core in the prior art.

The application discloses a processing method of gel candies, and belongs to the technical field of gel candies. The method comprises a control unit with multiple independent pouring units, each pouring unit comprising a pouring head and a temperature control module, and the following steps are performed: S1: initial sensing and parameter setting; S2: a staged dynamic pouring step; S201: a starting stage, in which pouring is started at P0 and the F0, and lasts for a predetermined starting time Δt1; S202: a stable stage, in which after Δt1 ends, a control mode based on real-time viscosity feedback is switched to, the heating power is adjusted to maintain the real-time viscosity μ of the material in a target range [μ min , μ max ], and pouring is performed at a basic pump pressure F base . Through the staged dynamic control, the application realizes the precision and high efficiency of the gel candy pouring process.

The invention discloses an air conditioner evaporator anti-freezing self-adaptive control method, and relates to the technical field of air conditioner evaporator anti-freezing, and the method comprises the steps: S1, data collection: obtaining an evaporator temperature field, environment temperature and humidity and compressor operation parameters through a distributed sensor array, S2, feature extraction: calculating a regional temperature difference gradient and a frosting rate prediction value based on temperature field data, s3, risk grade division, S4, intelligent decision generation, S5, driving execution, S6, real-time monitoring, S7, parameter iteration, and S8, mode switching. Through the steps S1, S2, S6 and S7, a self-learning system for data acquisition, feature analysis, effect feedback and model optimization is constructed, so that the system can continuously adapt to complex scenes such as evaporator performance attenuation and long-term environment change; through the steps S3, S4, S5 and S8, refined hierarchical management and control of risks and dynamic optimization of control parameters are realized, and cooperative adjustment of heating power and fan rotating speed and adaptive reduction of sampling frequency at low risk are combined.

The embodiment of the invention discloses a heating method of parallel battery packs, electronic equipment and an energy storage system. The method comprises the steps of detecting a connection state of an external power supply and a parallel battery pack; when it is detected that the external power supply is connected, whether all slave battery packs in the parallel battery packs have heating requirements or not is judged; a plurality of heating gears are preset from the battery pack, each heating gear corresponds to one heating power, and the heating gears are sequenced according to the heating power; according to a preset priority, a heating instruction is sent to the to-be-heated battery pack, so that the to-be-heated battery pack is heated; switching a heating gear of the to-be-heated battery pack based on the relationship between the feedback data of the to-be-heated battery pack and the input energy of the external power supply; after adjustment of the heating gear is completed, heating is conducted for preset time; and after heating is completed, the steps are circulated. According to the embodiment, the slave battery pack is controlled through the main battery pack, the heating gear is dynamically adjusted, and the heating efficiency and the energy utilization rate of the battery pack can be improved.

The invention relates to the technical field of textile bio-manufacturing and industrial process automation control, in particular to a bio-based fabric production temperature and humidity intelligent regulation and control system which comprises a data acquisition unit used for acquiring temperature and humidity sensor values in a fermentation curing workshop in real time and reading current heating power of an actuator and a fan rotating speed instruction; the reference state reconstruction unit is used for receiving the input state vector and generating an interference-free reference vector; the disturbance simulation unit is used for generating a theoretical damaged state vector representing a specific fault mode; the double-track difference unit is used for generating a real difference feature vector and a theoretical difference feature vector; the coupling regulation and control unit is used for calculating a similarity value of the real difference feature vector and the theoretical difference feature vector in a number domain space; according to the method, non-ideal factor interference is effectively eliminated, and the physical interpretability and numerical traceability of the reference data are ensured.

The invention relates to the field of oil field heating furnace control, and discloses an oil field heating furnace intelligent digital implementation method and control method.The control method comprises the following steps that S1, a temperature sensor is used for monitoring the temperature of an oil field heating furnace in real time; s2, calculating a temperature error between the upper limit and the lower limit of the real-time temperature and the set temperature according to the monitoring data of the temperature sensor; s3, a self-adaptive PID control algorithm is applied, and heating power is calculated based on the temperature error; and S4, dynamically adjusting the heating power to control the temperature of the oil field heating furnace. The precision and stability of temperature control can be improved, the oil field heating furnace can control the target temperature more accurately, and the production efficiency is improved. Meanwhile, the self-adaptive PID control algorithm can automatically adjust parameters according to actual working conditions and environment changes, the adaptability and robustness of the system are improved, and the requirements for manual intervention and adjustment are reduced. In addition, the stable and efficient heating process can be achieved by dynamically adjusting the heating power, and energy and cost are saved.

The invention discloses a heat dissipation system and method for a sealed motor, and belongs to the technical field of sealed motors and transmission devices. The system comprises a motor unit, a multistage gearbox unit, a liquid cooling unit, an air cooling unit, a plurality of groups of sensors and a controller. The liquid cooling unit is integrated in the motor outer cover, and the air cooling unit is installed on the motor radiating ribs. According to the method, the total heating power and the variable target temperature of the system are dynamically calculated by collecting the current, the temperature and the rotating speed of the motor and gear signals of the gear box in real time, the required heat dissipation power is calculated in real time through a nonlinear function based on the temperature difference, and then heat dissipation resources of the air cooling unit and the liquid cooling unit are cooperatively distributed with the optimal energy efficiency ratio. According to the invention, feedforward prediction temperature control of dynamic working conditions is realized, the problems of heat dissipation lag, low energy efficiency and overheating risk of the sealed motor under complex load and multi-gear operation are solved, and the reliability, adaptability and overall energy efficiency of the system are significantly improved.

The invention belongs to the technical field of electric control cabinet heat dissipation structure data processing, and particularly relates to an electric control cabinet heat dissipation structure parameter optimization method and system based on a genetic algorithm, and the method comprises the steps: obtaining the multi-source dynamic thermal load data of a to-be-optimized electric control cabinet in a complete process period, and constructing a transient heating power function; constructing a transient thermal resistance network model containing flow field coupling characteristics, defining a to-be-optimized structure parameter vector, and determining flow field thermal resistance coupling efficiency; based on the transient thermal resistance network model, utilizing a genetic algorithm to carry out iterative optimization on the structure parameter vector, calculating a transient thermal shock response index of the key component, and constructing a fitness function according to the transient thermal shock response index to evaluate individual advantages and disadvantages; and when the genetic algorithm meets a preset termination condition, outputting an optimal structure parameter combination, and generating a heat dissipation structure model based on the optimal structure parameter combination. According to the invention, transient thermal shock and dustproof requirements can be effectively balanced.

The invention provides a battery charging strategy determination method and apparatus, an electronic device and a medium. The method comprises the steps of constructing a multi-physical field coupling model of a battery system; simulation is carried out based on an electrochemical model in the multi-physics field coupling model, fast charging characteristic maps of the battery in different temperature intervals are generated, and the fast charging characteristic maps are used for representing the mapping relation among the charging current of the battery, the temperature rise of the battery and the lithium precipitation boundary; setting a maximum self-heating power limit value of the battery in a low-temperature environment based on the fast charging characteristic map; according to a preset low-temperature fast charging index and the maximum self-heating power limit value, reversely solving and determining the lowest initial charging temperature of the battery meeting the low-temperature fast charging index; and based on the lowest initial charging temperature, solving a parameter solution set containing the thickness and the heat conductivity coefficient of the external thermal insulation layer. According to the invention, the charging efficiency of the power battery in a low-temperature environment is improved.

The invention provides a high-power electric heating fused salt heat storage control system which comprises a fused salt electric heating and electric heat tracing device and a central control unit, and the central control unit is directly connected with a core control system for electric heating power dynamic adjustment, fused salt temperature gradient control, electric heat tracing pipeline safety protection and the like. The method comprises the following steps: firstly, based on power grid frequency deviation, generating an electric heating power instruction through droop control and a dead zone link; secondly, establishing a fused salt temperature-flow-power kinetic equation, and identifying a nonlinear surge excitation source; and finally, designing a flexible voltage source type converter control law of the electric heat tracing power supply by adopting an all-drive control theory, directly counteracting a nonlinear term of the system, and converting an original equation into a linear stable system. According to the method, the influence of nonlinear factors on surge and other phenomena is eliminated, the surge problem of small-mass and small-flow fused salt is effectively solved, and the energy efficiency and reliability of the system are improved.

The invention discloses a phased array radar antenna array plane and air-cooled uniform-temperature heat dissipation structure, which optimizes the structure and layout of a heat dissipation air duct of the antenna array plane, and overall designs component modules and the heat dissipation air duct to achieve the effect that the temperatures of components at symmetrical positions of four quadrants of the antenna array plane are consistent; an independent fan is designed for each heat dissipation air duct, and the air volume is determined according to the heat power consumption of each air duct; a heat pipe is designed on a heat exchange contact surface at the bottom of the heat dissipation air duct to reduce the temperature difference of the assembly along the air duct direction; the heat dissipation air channel is completely sealed and isolated from each functional module in the antenna array plane; the inner surface of the heat dissipation air channel is coated with the infrared ceramic radiation heat dissipation coating, salt spray corrosion can be resisted, heat dissipation is facilitated, and the outdoor environment requirement can be met. Through the design, the temperature difference of the components on the antenna array plane is reduced, and the phase consistency requirement of the antenna array plane components is met.

The invention discloses a power component oscillation maintenance control method, a power component and a control device, and relates to the technical field of electronic equipment, the power component oscillation maintenance control method is applied to the power component, and the method comprises the following steps: obtaining temperature detection data of a plurality of preset areas of the power component; determining a target power module in the plurality of power modules when determining that the plurality of power modules are unstable in oscillation based on the temperature detection data of the plurality of preset areas; based on the temperature difference between the preset area where the target power module is located and other preset areas, determining a target heating piece arranged corresponding to the target power module in the plurality of heating pieces, and adjusting the heating power of the target heating piece until the oscillation of the plurality of power modules tends to be stable; wherein when oscillation of the multiple power modules tends to be stable, the temperature difference between the preset area where the target power module is located and other preset areas is not larger than the target temperature difference. The method is used for automatically regulating and controlling the temperature of a runner under a non-uniform thermal load and realizing oscillation maintenance control of a power assembly.

The invention discloses a test device and method for simulating an ultra-high-speed penetration ground impact effect, and the device employs a static load loading system to apply a static load to the periphery of a sample so as to simulate a ground stress environment, and employs a dynamic load loading system to apply an impact dynamic load to the top of the sample so as to simulate ground impact. In the dynamic loading system, a phase change reaction kettle is used for heating liquid CO2 to a supercritical high-pressure state; the liquid filling module is used for filling liquid CO2 into the phase change reaction kettle; the gun barrel is used for receiving high-pressure gas released by the phase change reaction kettle and forming ground shock waves similar to a plane; the stress wave lens module is used for adjusting the width of shock waves through a stress wave lens combination and acting the shock waves on the sample; the control module can control the shock wave peak pressure by regulating the heating power of the phase change reaction kettle, and can control the duration time of shock waves by regulating the bore diameter of the gun barrel. According to the invention, controllable and high-fidelity simulation of the ultra-high-speed penetration impact effect is realized.

The invention relates to an optical component, in particular a mirror, comprising: at least one heating structure (25, 25a) that can be subjected to an electric current, in particular a resistance heating structure, for introducing heat into a material of the optical component. In one aspect of the invention, the heating structure (25a) and a further, adjacent heating structure (25b) have interlocking edge structures (30a, 30b), wherein a heating power density (1a) of the edge structures (30a) of the heating structure (25a) on a side (32b) of the edge structures (30a) of the heating structure (25a) facing the further heating structure (25b) is lower than on a side (32a) of the edge structures (30a) of the heating structure (25a) facing away from the further heating structure (25b).In another aspect of the invention, the at least one heating structure (25) extends substantially over the entire optical surface (27) of the optical component and has a locally varying electrical resistance (Ra(x,y)) which preferably approximates a basis function extending substantially over the entire optical surface (27), in particular a Zernike polynomial.

The invention discloses an intelligent heating control method and system based on a liquid heating container, and the method comprises the following steps: obtaining an observation sequence, completing time alignment and scale normalization, and forming a synchronous observation sequence; carrying out duration inference by using a semi-Markov model, and calculating a residence constraint parameter; constructing a discrete-continuous mixed state space model and executing Rao-Blackwell particle filtering to obtain a particle weight, a phase sequence and posterior edge distribution, and calculating a weight degradation index; generating a noise portrait, and giving a quantile vector, a tail ratio and polarity bias; implementing quantile gating correlation entropy re-calibration according to the noise portrait, and refreshing a weight degradation index; a discrete Schrodinger bridge is constructed in a window with the phase state kept unchanged, deterministic carrying is carried out, and a calibration prior transfer kernel and proposal distribution are formed; and in combination with the weight degradation index and the resident constraint parameter, self-adaptive resampling is carried out, and a heating power track and a safety constraint parameter are output. The state judgment stability and the power control precision are improved.

The invention provides a power domain controller battery heating control method and system, and the method comprises the steps: calculating a real-time battery monomer imbalance parameter based on a temperature difference and a voltage difference between battery monomers obtained in real time; calculating a real-time environment influence coefficient based on the environment parameters obtained in real time; the environment parameters comprise environment temperature, humidity and wind speed; when preheating is started, determining initial heating power according to the current real-time battery monomer imbalance parameter and the real-time environment influence coefficient; updating a control parameter according to the environmental influence coefficient, and calculating a power adjustment amount based on a real-time difference value between the actual temperature of the battery and the target temperature and the updated control parameter; and taking the initial heating power as a reference, and carrying out iterative superposition on the initial heating power and the power adjustment amount to obtain real-time heating power for heating the battery. By introducing environment and single battery multi-parameter perception, dynamic self-adaptive control of heating power is realized, and the limitation of traditional fixed power heating is broken through.

The invention relates to an array electric tracing band heating control method and system, and the method comprises the steps: an array construction and control circuit construction step: arranging and fixing a heating unit array on a supporting body, and configuring one-to-one voltage regulation and control links; a temperature value obtaining step: calculating resistance by collecting voltage and current of the heating unit, and obtaining the real-time temperature of the heating unit in combination with the resistance-temperature reference curve; a compensation voltage calculation step: establishing a model based on the bearing body partition temperature difference, the heating unit temperature and the multi-dimensional influence parameters, and calculating a compensation voltage; a temperature regulation and control step: superposing the compensation voltage and the real-time voltage to regulate the heating power so as to realize the precise temperature control of the bearing body partition; the system comprises a main control module, a power drive and control module, a sensor module and a power supply module, and all the modules cooperate to complete control logic. According to the invention, the bearing body partition temperature control precision and the reliability of the system are improved, and the system adapts to various bearing body forms.

The invention relates to an anti-overtemperature control method and system for an aluminum alloy sheet heating furnace, and the method comprises the following steps: arranging a plurality of thermocouples in the length direction and the width direction in the heating furnace, forming a temperature matrix, and collecting the temperature distribution data of a working area in the furnace in real time; a transient heat conduction prediction model of the aluminum alloy sheet is established, and the model is combined with physical property parameters of aluminum alloy and comprises the relation that the specific heat capacity, the heat conductivity coefficient, the density and the emissivity change along with the temperature; based on the temperature matrix and the transient heat conduction prediction model, predicting a temperature rise curve of the thin plate in a future set time; and when the predicted temperature exceeds the preset safety threshold value, the heating power or the start-stop state of the corresponding heating area is adjusted in advance, and active anti-overtemperature control is achieved.

The invention relates to the technical field of automatic control and constant temperature metering testing, and provides a thermostat PID control method, device and equipment and a medium, and the method comprises the steps: obtaining the current collection moment temperature of a thermostat, and the first number of historical collection moment temperatures; determining temperature deviation information according to the current acquisition moment temperature and a first number of historical acquisition moment temperatures; determining gain information at the current acquisition moment according to the temperature deviation information; and determining a control amount of heating power of a heater inside the thermostat according to the gain information and the temperature deviation information. According to the invention, on the premise of ensuring the stability of the system, rapid convergence and high-precision steady-state maintenance of the thermostat are realized through a variable gain strategy.

The invention provides an intelligent integrated control system for waste heat recovery of a swimming pool heat pump and domestic hot water. The system comprises a data acquisition module, an energy efficiency evaluation and recovery decision module, an intelligent scheduling execution module and a heating mode optimization module. The waste heat availability is dynamically evaluated by monitoring heat pump operation parameters and the water tank thermal stratification state in real time, the system stability is judged in combination with the heat pump energy efficiency change trend and the water tank top temperature acceleration, and a three-way valve is intelligently controlled to switch a waste heat preheating path. In the waste heat recovery state, the waste heat participation degree is determined based on the temperature difference and flow of the plate heat exchanger, the main heating power is adjusted by combining the up-down temperature difference and the top temperature change trend of the water tank, and efficient, stable and energy-saving domestic hot water supply is achieved. The energy comprehensive utilization efficiency is remarkably improved, carbon emission is reduced, and the system is suitable for green buildings and smart energy scenes.

The invention provides an electrical equipment overheating hidden danger early warning method and system based on unmanned aerial vehicle multi-spectral imaging, and belongs to the technical field of power equipment state monitoring, and the method comprises the steps: firstly obtaining ultraviolet photons and spatial point cloud data collected by an unmanned aerial vehicle; a three-dimensional model is constructed based on the point cloud, and electric field distribution information is obtained through finite element analysis. And the photon data and the electric field information are combined, and the discharge charge quantity and distribution are obtained through space inversion correction. And calculating the discharge current density by using an energy dissipation model, and determining the discharge thermal power loss density in combination with the local electric field. And finally, a steady-state heat conduction equation is solved based on the heat conduction and dissipation parameters, temperature field distribution under heat balance is calculated, and early warning information is generated when the steady-state temperature exceeds a heat-resistant threshold value. According to the invention, early-stage accurate prediction and positioning of the hidden overheating fault of the electrical equipment caused by insulation degradation are realized.

The invention discloses a temperature control system for industrial catalyst regeneration, which relates to the technical field of temperature control and consists of an initialization module, a decision module, an acquisition module and an execution module. The initialization module obtains multi-dimensional key parameters through the multi-dimensional sensor array; the initialization module constructs a multi-parameter coupling correlation model based on attenuation mapping of catalyst activity and core parameters, introduces a dynamic weight coefficient to correct an influence weight, carries out error compensation in combination with a negative correlation between a characteristic by-product in a product and activity, and accurately calculates a current activity predicted value of the catalyst. The decision-making module is based on a temperature activity response model, takes a thermal stability threshold as a constraint, and solves the optimal heat treatment temperature and temperature control duration through a particle swarm optimization algorithm; the acquisition module acquires parameters during regeneration; the execution module determines the initial heating power according to the optimal parameters and adjusts the medium flow to guarantee the uniformity of a temperature field, and self-adaptive correction is implemented in combination with differential pressure recovery curve deviation comparison, so that closed-loop precise temperature control is achieved.

The invention relates to a thermal buffer liquid cooling soaking device with a multi-phase change system and a preparation method of the thermal buffer liquid cooling soaking device. The thermal buffer liquid cooling soaking device comprises a liquid cooling plate and a fin runner integrated soaking plate used for making contact with a heat source. A fin flow channel is arranged on the outer side of the fin flow channel integrated vapor chamber, a fin hollow structure is arranged in the fin flow channel, and the fin hollow structure is filled with a phase change material with the phase change temperature of 100-120 DEG C; the liquid cooling plate covers the outer side of the fin flow channel integrated vapor chamber and forms a cooling liquid flow channel for cooling liquid to flow together with the fin flow channel; when the heating power of the heat source is small, sensible heat of the phase-change material absorbs part of heat, the cooling liquid takes away the heat and waste heat which cannot be absorbed by the phase-change material in time, and the temperature of the heat source is kept stable; when the heating power of the heat source is large, the phase change material begins to generate phase change, a large amount of latent heat is absorbed in the process, a thermal fusing effect is formed in the temperature range of 100-120 DEG C to play a thermal buffering role, and the power device can stably run in an overload mode within a period of time.

The invention relates to the technical field of battery packs, in particular to a battery pack heat preservation and heating control method, device and equipment and a medium. The bag-shaped heat preservation heating sleeve with the heat insulation layer is arranged outside the battery pack to control the temperature; the method comprises the following steps: firstly, acquiring temperature data of each region by using a temperature sensor to analyze and evaluate a temperature state, identifying a temperature abnormal region, performing directional heating analysis, and generating heating control parameters; then, according to the parameters, the heating power of the local area is adjusted, a control signal is sent to a controller, and the output power of the heating film in each area is adjusted; the battery pack can be flexibly installed after leaving a factory, the temperature control effect is improved through the heat insulation effect of the heat preservation heating sleeve and accurate partition control, the battery can be kept at the proper charging and discharging temperature, the effective discharging rate of the battery is improved, and the original battery pack structure does not need to be changed.

The system accurately manages the remaining driving range, which changes as the energy storage device heats up during driving prior to charging. [Solution] The controller 6 includes a first calculation unit 6b that calculates a first drivable distance using the remaining power obtained by subtracting the amount of heating power required to achieve a target temperature of the energy storage device when there is a request to heat the energy storage device with a heater from the remaining charge of the energy storage device; a second calculation unit 6c that calculates a second drivable distance using the remaining charge of the energy storage device when there is a request to heat the energy storage device with a heater, while outputting power to achieve a target temperature of the energy storage device; and an output unit 6e that outputs the larger of the first drivable distance and the second drivable distance to display on a display.

The invention provides a wind driven generator blade deicing system and a phase change microcapsule coating spraying process, and relates to the technical field of wind power generation equipment protection, the deicing system comprises a heating module, a spiral flow guide rib, a phase change microcapsule coating and a control module; the heating module comprises a heating piece and a fan communicated with the heating piece; the spiral flow guide rib is used for forming a rotational flow air duct, so that hot air formed by heating of the heating module forms rotational flow air flow; the phase change microcapsule coating is at least coated on the wall surface of the inner cavity of the blade; the control module is in communication connection with the heating piece and the draught fan and is configured to adjust the rotating speed of the draught fan and the heating power of the heating piece at least according to the state of the phase change microcapsule coating. The deicing system improves the heat transfer efficiency, enables hot air to effectively cover all areas of the blade, prolongs the residence time of the hot air in the inner cavity of the blade, and improves the hot air utilization rate. And the phase change microcapsule coating and the rotational flow airflow have a synergistic thermal effect, so that the temperature of the wall surface of the blade is effectively, quickly and uniformly increased, and the deicing efficiency is improved.

The invention discloses an indium phosphide single crystal growth dynamic thermal field control method based on AI calibration of multiple temperature zones, and relates to the technical field of semiconductor material preparation and artificial intelligence control. According to the method, a multi-temperature-zone thermal field digital twin model is constructed, multi-channel temperature data, heating power data and crystal growth image data in an indium phosphide single crystal growth furnace are collected, and real-time three-dimensional reconstruction of thermal field distribution in the furnace is carried out; with the crystal growth rate, the solid-liquid interface shape and the thermal stress distribution as optimization targets, power adjustment instructions of heaters in all temperature zones are output; an AI calibration module is introduced to correct thermophysical parameters of the digital twin model; deducing a thermal field state at a future moment, compensating a thermal hysteresis effect in advance, and realizing accurate closed-loop control of an indium phosphide single crystal growth process; according to the invention, the problem that the traditional PID control is difficult to cope with nonlinear, strong-coupling and large-lag thermal field change in large-size crystal growth is solved, and the single crystal yield and the lattice quality are remarkably improved.

The invention provides a liquid crystal screen heating method and system, a medium and a product, and relates to the technical field of automatic control, and the method comprises the steps: firstly, obtaining a heat influence coefficient matrix representing the heat conduction relation between heating areas, and measuring the initial temperature data of each heating area through a temperature sensor; when any temperature is lower than a preset temperature lower limit threshold value, the temperature rise amount of each heating area is calculated based on the target temperature, a temperature rise matrix is determined, the target heating power of each heating area is calculated in combination with the heat influence coefficient matrix and the temperature rise matrix, and the heating control module sends corresponding heating signals to each heating circuit according to the target heating power so as to heat the heating circuits. All the areas are heated at different powers, and finally synchronous rising of the temperature of all the heating areas is achieved. According to the scheme, the technical problem that in the prior art, a liquid crystal screen is heated unevenly is solved.