2434 results about "Heat control" patented technology

The invention relates to the technical field of chip temperature control, and discloses a chip temperature regulation and control system and method, and the method comprises the steps: building a thermal field dynamic model, integrating real-time power consumption data and environment heat dissipation parameters, and generating a thermal resistance adjustment coefficient and a power consumption correction coefficient; establishing a temperature prediction network to perform multi-source temperature field prediction; a dynamic regulation and control strategy is set according to a prediction result, and heat dissipation control parameters are optimized to achieve thermal field balance control; and executing feedback calibration and model iteration. The system comprises a thermal field dynamic modeling module, a multi-source temperature field prediction module, a dynamic regulation and control strategy execution module, a feedback calibration module and an iteration module. The method can accurately predict the heat distribution of the chip, realizes real-time and intelligent temperature regulation and control, improves the performance and reliability of the chip, reduces the energy consumption, and has good adaptability and universality.

The invention relates to the technical field of material removal in laser processing, in particular to a laser positioning stripping system and method for special-shaped neodymium iron boron waste, and the method comprises the following steps: S1, carrying out multispectral scanning on the surface of the special-shaped neodymium iron boron waste; s2, dynamically adjusting energy parameters of laser lift-off, and constructing an energy thickness matching model; s3, generating a fractal scanning path of the adaptive special-shaped surface based on the geometric contour data of the three-dimensional characteristic spectrum; s4, in-situ surface roughness detection is carried out in the laser lift-off process, a secondary finishing mode is triggered according to a detection result, and the safe lift-off allowance is dynamically corrected based on lift-off depth data; and S5, in-situ separation of the oxide layer fragments and the matrix particles is achieved through the hot air flow field in combination with the gas-solid separation dynamics principle, and matrix particle recovery is assisted and strengthened through the magnetic field. The laser energy, the scanning path and the thermal control strategy can be dynamically adjusted according to real-time data, so that material loss and waste are effectively avoided, and the processing efficiency and the recovery rate are improved.

The invention relates to the technical field of new energy, in particular to a fan blade composite deicing system and method.The fan blade composite deicing system comprises a sensing layer, a decision-making layer, an execution layer and a feedback layer, and the decision-making layer comprises a graph neural network ice type recognition module, a CFD-icing coupling simulation module, a health management module and an energy consumption scheduling algorithm unit; the execution layer comprises a control unit and an execution unit, the control unit comprises a dynamic partition heating controller and a self-adaptive vibration controller, and the execution unit comprises an electric heating system and a vibration deicing system; compared with the prior art that a single deicing mode is usually adopted, and the adaptability to different ice type physical characteristics is poor, the scheme adopts a differential execution strategy, and partition electric heating control is carried out on different chord length areas of the blade based on the ice type recognition result; and high-frequency piezoelectric standing wave vibration is adopted for glaze ice, low-frequency eccentric wheel vibration is adopted for glaze ice, and the beneficial effects that the deicing efficiency is remarkably improved, invalid energy consumption is reduced, and damage to blades is reduced are achieved.

The invention provides a charging pile supporting multi-point automatic cooling, and belongs to the technical field of charging piles, and the charging pile comprises a main control module, a temperature acquisition module, a current acquisition module, a pressure detection module, a heat dissipation control module, a communication module, a storage module, a display module and a power management module. A system control module arranged in a main control module firstly acquires temperature data of each point of a charging pile through a temperature acquisition module, constructs a temperature difference matrix and performs matrix decomposition to obtain a temperature space basis matrix and a time characteristic matrix; then, a dynamic convolution kernel is generated based on the characteristic value of the temperature space basis matrix, a temperature characteristic extraction network is constructed, and accurate extraction of temperature characteristics is realized. And the system further establishes a thermodynamic state equation set, the heat dissipation power is accurately calculated and controlled in combination with a temperature difference change coefficient matrix, and finally accurate regulation and control of multi-point temperature are achieved.

The invention provides a zone-controlled intelligent charging pile double-cooling heat dissipation system and a control method, and belongs to the technical field of charging pile heat dissipation. Comprising an area division acquisition module used for monitoring the temperature generated by a function module in each thermal control area and the temperature generated by heat dissipation equipment in each thermal control area in real time and constructing a first data set and a second data set, and an early warning analysis module used for constructing an in-pile thermal risk coefficient Rheat and an environment thermal interference coefficient Renv, and the evaluation optimization module is used for constructing a comprehensive temperature control adjustment coefficient Rtotal. According to the system, the heating temperature of the function module is accurately monitored in a zoning manner, heat dissipation is quickly performed on the function module, the temperature change of the function module can be predicted in advance, the power consumption of equipment is reduced, and the heat dissipation efficiency of the equipment is improved.

The invention discloses an intelligent management and control system for machine room equipment, and relates to the field of machine room equipment management and control, the system comprises an energy consumption management and control module, a predictive maintenance module and a security situation awareness module, the energy consumption management and control module is based on the synergistic effect of a dynamic load balancing module, a phase change heat dissipation control module and a block chain energy consumption account book module; and the energy consumption cost of machine room equipment is reduced. According to the intelligent management and control system for the machine room equipment, power supply strategies can be switched according to the actual state of the machine room equipment through the dynamic load balancing module, so that the energy consumption of the machine room equipment can be effectively reduced; according to the invention, corresponding measures can be taken at different stages when the equipment has faults, the influence of the equipment faults on services is reduced to the greatest extent, the personnel movement track, the operation instruction and the environmental parameters can be fused through the arranged security situation awareness module, and the illegal intrusion detection accuracy is improved.

The invention provides a heat supply device of a photoelectric heating all-in-one machine, and belongs to the technical field of heat supply control. According to the device, the maximum power generation power of a photovoltaic panel is automatically tracked through the photovoltaic adaptation module, the photovoltaic power supply heating module is directly driven, the photovoltaic power supply heating module is always kept near the maximum power point, and the photovoltaic power generation heat transfer efficiency is improved; through feedback of the temperature transmitting module, the intelligent control module controls the photovoltaic adaptation module and the mains supply control module at the same time, photovoltaic direct drive and mains supply can be automatically matched to assist in automatic conversion of heating control for complementary heat supply, the intelligent control module has a temperature compensation control technology, and when the photovoltaic heat supply temperature is lower than the lower limit, the intelligent control module controls the intelligent control module to supply heat. Mains supply is automatically switched on for temperature compensation; meanwhile, the photovoltaic adaptation module and the photovoltaic power supply heating module are independent systems, the commercial power control module and the commercial power supply heating module are independent systems, and the two systems are independent of each other, have no interference to a power grid and are more stable and safer in operation. The intelligent heat supply mode switching method and device can improve the intelligence of heat supply mode switching.

The invention discloses a secondary network heat supply temperature control method and device based on a negative pressure water mixing technology, and relates to the technical field of secondary network heat supply control. The secondary network heat supply temperature control method and device based on the negative pressure water mixing technology comprises the steps that S1, operation data, structure steady state data and thermal environment data in a current heat supply task are collected, and a standardized heat supply working condition data set is constructed after preprocessing; s2, local hydraulic fluctuation characteristics are evaluated, and the water mixing proportion, the water supplementing flow and bypass path configuration are dynamically adjusted; s3, jointly analyzing the temperature difference of supply water and return water, the heat deviation and the valve state, and driving water mixing adjustment and path optimization; s4, evaluating adjustment intensity and heat response deviation, and realizing abnormal disturbance response and adjustment strategy correction; and S5, recording negative pressure, uneven heat and cold and response data for subsequent diagnosis and steady state identification. The problems that a traditional water mixing control means is difficult to effectively inhibit pressure fluctuation of the water return end, local negative pressure is easily formed, and local energy waste and uneven heat distribution are caused are solved.

The invention discloses a server heat dissipation control method and device, computer equipment and a storage medium, and relates to the technical field of server heat dissipation, and the method comprises the steps: predicting first load prediction information and prediction thermal power based on the working state information of a server; and determining configuration parameters of the heat dissipation assembly according to the predicted thermal power and the working state information. And the cooling medium entering the server in the heat dissipation assembly is adjusted according to the configuration parameters, so that the actual load change of the server is accurately matched, and the server is prevented from being excessively cooled or insufficiently cooled. The problem that the performance of the server is affected due to over-cooling or insufficient cooling caused by the fact that cooling regulation and control are difficult to accurately match actual load changes is solved. According to the method, the load and the thermal power of the server can be predicted, the future heat dissipation requirement of the server is determined according to the predicted thermal power and the working state information of the server, the heat dissipation assembly is adjusted in time, and the situation that the heat dissipation requirement of the server is suddenly changed, so that the server is excessively cooled or insufficiently cooled is avoided.

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 discloses an excavator heat dissipation control method and system based on environment temperature and operation working conditions. The excavator heat dissipation control method comprises the steps that S1, the operation working conditions of an excavator are divided into five working conditions including the super-heavy load working condition, the heavy load working condition, the medium load working condition, the light load working condition and the super-light load working condition; s2, the external environment temperature is divided into 10 gears; s3, according to the environment temperature and the operation working condition, the heat dissipation requirement is divided into 10 gears; s4, the rotating speed of the cooling fan is adjusted according to the cooling requirement gear, so that the cooling requirement is accurately matched with the rotating speed of the cooling fan; and S5, whether the temperature of the working medium in the excavator is larger than a high-temperature threshold value or not is judged, if yes, heat dissipation is conducted according to the corresponding heat dissipation fan rotating speed obtained through the heat balance test, and if not, heat dissipation is conducted according to the actual heat dissipation requirement gear standard. The problem of heat dissipation redundancy caused by single parameter control is solved, and dynamic matching of the rotating speed of the fan and the composite heat dissipation requirement is achieved. And the energy consumption under the low-load working condition and the cold environment is reduced, and the risk of insufficient heat dissipation under the high-temperature heavy-load working condition is avoided.

The invention discloses an intelligent heat dissipation control method and system of a photovoltaic inverter, and relates to the technical field of heat dissipation control of photovoltaic inverters, and the method comprises the following steps: collecting the temperature of parts in the photovoltaic inverter and the temperature of the environment in the photovoltaic inverter through a temperature sensor, collecting an internal thermal imaging image, and carrying out the first screening processing; establishing a thermal imaging temperature correction model; performing temperature correction processing on the thermal imaging image in the photovoltaic inverter to obtain corrected thermal imaging temperature data; dynamically controlling a cooling fan of the photovoltaic inverter; the method is used for solving the problems that when heat dissipation control is carried out by measuring the internal temperature of the photovoltaic inverter in an existing photovoltaic inverter heat dissipation control technology, error correction cannot be carried out on a thermal imaging image through the thermal imaging image and a temperature sensor, accurate internal overall temperature information of the photovoltaic inverter cannot be obtained, and then heat dissipation control cannot be carried out.

The invention discloses a state evaluation and fault early warning method and system based on superconducting current limiter modeling, an electromagnetic heat multi-physical field coupling model of a superconducting current limiter is constructed based on finite element software, and the method comprises the following steps: constructing a three-dimensional geometric structure of a solenoid-shaped superconducting current limiter, and setting a peripheral electromagnetic environment boundary; establishing an electromagnetic field control equation based on a Maxwell equation set and the nonlinear resistivity characteristic of the superconducting material, and coupling a solid heat transfer control equation to form a multi-physical field interaction model; optimizing grid division to balance calculation precision and solving efficiency; body parameters of the superconducting current limiter including the initial critical current Ic0 and the critical temperature Tc and working condition parameters including the environment temperature and the transmission current It are input, the parameters are dynamically adjusted according to the actual operation scene, and the voltage U at the two ends during normal operation is calculated through a model; by collecting voltage measured values Up at the two ends of the superconducting current limiter during actual operation in real time, whether the voltage measured values Up exceed a threshold value set according to the voltage U or not is judged, and an early warning mechanism is triggered.

The invention relates to the technical field of industrial production control, in particular to a polyurethane raw material preheating control method and system. The method comprises the following steps: acquiring tank body temperature, environment temperature, batch temperature rise, tank body structure and raw material liquid data, constructing a thermal resistance-thermal capacitance series-parallel model to represent system thermal inertia characteristics, then identifying an initial value drift resistance section, a main temperature rise section and a disturbance absorption section in a segmented manner, and implementing power back-stepping based on segmented data, so as to obtain the thermal inertia characteristic of the system. Dynamically generating a heating power track; and a heating track is replanned in combination with real-time change data, so that precise modeling and self-adaptive control of a temperature rise process are realized, and the temperature control precision and energy efficiency response capability of the preheating system under different raw material batches and different working conditions are effectively improved.

The invention provides a temperature control method and device and a computer readable storage medium, the temperature control method is applied to an aerosol generation device, the aerosol generation device comprises a microwave heating assembly, and the temperature control method comprises the following steps: obtaining an actual stage of a current heating control period; wherein the heating control cycle comprises a first stage, a second stage and a third stage; matching the power value corresponding to the actual stage from the database; and supplying power to the microwave heating assembly according to the corresponding power value in the actual stage. In the first stage, the aerosol generating product can quickly reach the temperature for generating aerosol, so that quick suction is realized; in the second stage, it can be guaranteed that the aerosol generating product does not burn or generates aerosol products harmful to health at high temperature in the smoking process, it can also be guaranteed that the aerosol generating product is continuously heated to generate a certain amount of aerosol, the uniformity of a temperature field is improved, and the smoking taste and release consistency of the aerosol are guaranteed.

The invention discloses a server BMC collaborative optimization method and system based on heat perception and energy consumption prediction, relates to the technical field of server hardware management and data center energy saving, and discloses the server BMC collaborative optimization method and system based on heat perception and energy consumption prediction. Comprising the steps that a heat-energy coupling model is established through multi-dimensional data collection and fusion analysis, accurate perception is achieved through three-dimensional heat distribution calculation and LSTM prediction, heat dissipation and power supply parameters are dynamically adjusted in combination with a multi-target optimization algorithm, a closed-loop feedback mechanism is formed, and the energy efficiency ratio of a server can be increased. And dynamic collaborative optimization of heat dissipation control and energy consumption management can be realized, the heat dissipation efficiency of the server is improved, and the service life of hardware is prolonged.

The invention, which belongs to the technical field of power transmission line deicing, discloses an ice and snow disaster-resistant power transmission line adaptive ice melting device comprising an annular body of which the inner diameter is adaptive to the outer diameter of a power transmission line and which is used for being fixed on the power transmission line in a surrounding manner; the distributed temperature sensor array is uniformly embedded in the inner surface of the annular body and is used for monitoring the surface temperature distribution of the power transmission line in real time; the heating element layer covers the periphery of the annular body, comprises at least two conductive film layers which are insulated from each other, and is used for generating Joule heat in gradient distribution; and the control module is arranged in the waterproof cavity at the side part of the annular body, is electrically connected with the temperature sensor array and the heating element layer, and is used for dynamically adjusting heating parameters according to the temperature data. When temperature values of more than three adjacent sensors are detected to be lower than a freezing point threshold value, a gradient heating program is started, the current density of each conductive film layer is dynamically adjusted according to an icing thickness calculation model, and melting and falling of an ice layer are realized.

The invention discloses a heat dissipation drum brake dynamic control system and method based on reinforcement learning. The method comprises the following steps that S1, drum brake operation data are collected and preprocessed; s2, training by using a gating circulation unit neural network, and outputting temperature rise trend data; s3, training based on a near-end strategy optimization algorithm to obtain a control strategy network, and outputting a heat dissipation control strategy; s4, performing joint optimization on hyper-parameters of the thermal state prediction model and the control strategy network by adopting a Harris eagle optimization algorithm; s5, generating a heat dissipation control instruction according to the optimized model, and controlling a heat dissipation execution mechanism to execute corresponding operation; and S6, continuously collecting temperature feedback data, comparing the temperature feedback data with the temperature rise trend data, and carrying out dynamic adjustment. Through fusion of reinforcement learning, deep prediction and intelligent optimization technologies, accurate prediction and dynamic heat dissipation control of the temperature rise trend of the drum brake are realized, so that the safety, the energy efficiency and the stability of a brake system are remarkably improved.

The invention belongs to the technical field of transformer heat dissipation control, and particularly discloses a transformer operation intelligent heat dissipation control system, which comprises a heat dissipation equipment layout module, a temperature monitoring module, a hot spot identification module, a hot spot diffusion analysis module, an airflow control module and an execution feedback module which are sequentially coupled and connected, an infrared thermal imaging sensor array and a fan group are arranged in a transformer according to heat source distribution, surface temperature distribution is collected in real time through the infrared thermal imaging sensor array, and a hot spot area and the diffusion direction of the hot spot area are recognized; and upstream, midstream and downstream fans are selected, and a directional relay cooling airflow chain is constructed through time sequence difference pulse and rotating speed hierarchical control, so that prospective intervention on a current hot spot and a potential diffusion path is realized, heat dissipation control has local accurate regulation and control capability with dynamic evolution characteristics, and the fan energy consumption is reduced while the heat dissipation efficiency is improved.

The invention discloses a rapid thermal simulation method and system for a semiconductor power assembly, and relates to the technical field of semiconductors, and the method comprises the steps: collecting a voltage V (t) signal and a current I (t) signal of the semiconductor power assembly in real time through a voltage and current sampling circuit, constructing a power pulse input sequence A, and carrying out the hot carrier accumulation analysis according to the power fluctuation change amplitude; introducing a transient thermal resistance function Zth (t), fitting the transient thermal resistance function Zth (t) with a hot carrier pulse response index Mcx after numerical integration to analyze junction temperature change caused by power pulse, and evaluating an equivalent junction temperature dynamic change rate; when the analysis result is that the thermal drift out-of-control trend exists, thermal risk analysis is carried out, and thermal risk state assessment is generated; the simulation model optimizes thermal model parameters and outputs thermal control suggestions through a rollback correction path, and the working state of the semiconductor power assembly is automatically adjusted. According to the method, real-time monitoring and effective prevention and control of thermal runaway can be realized, and the reliability and safety of the semiconductor power assembly are improved.

The invention provides a coke oven automatic heating control method and system, and belongs to the technical field of coke oven control, the method is applied to a coke oven temperature control system, and the method comprises the following steps: based on each temperature detection device, obtaining the temperature of a carbonization chamber corresponding to the temperature detection device, and obtaining the actual temperature of each carbonization chamber; determining a standard temperature range of each carbonization chamber based on the heating duration of the coke cake in each carbonization chamber; determining whether each carbonization chamber needs to execute temperature control or not based on the actual temperature of each carbonization chamber and the standard temperature range of each carbonization chamber; in response to existence of a target carbonization chamber in the carbonization chambers, determining a target combustion chamber based on the temperature deviation degree of the target carbonization chamber; the target carbonization chamber is the carbonization chamber needing temperature control in the carbonization chambers; and controlling a gas flow valve and an air flow valve in the target combustion chamber based on the temperature deviation degree of the target carbonization chamber. According to the invention, accurate adaptation and dynamic optimization of heating control of the coke oven to complex working conditions can be realized.

The present application relates to a warming-up control method for a fuel cell system in a starting process and a fuel cell system, applied to the technical field of fuel cells. The method includes: starting the fuel cell system, turning on a small-cycle cooling circuit, and pull-loading an output power to a first power; in response to an inlet temperature of a stack reaching a first temperature, rotating a three-way valve at a first rotating rate; calculating a variance of a cell voltage value; in response to the variance being smaller than a third threshold and reducing the variance to be within the first threshold, returning to the rotating the three-way valve at the first rotating rate until all turn-on of a large-cycle cooling circuit and all turn-off of the small-cycle cooling circuit; pull-loading the output power to a rated power.

The invention relates to the technical field of heat supply control, in particular to a heat supply secondary network branch line intelligent hydraulic equilibrium method and device, a medium and a product. The method comprises the following steps: constructing a branch topological graph of a heat supply secondary network in a target heat supply area; the environment temperature is obtained in real time, the heat supply station is controlled to supply heat to each heating single body in the target heat supply area based on the dynamic flow control strategy, and the node flow and the node temperature of each node in the branch topological graph are collected; constructing a branch heat supply loss model of the branch topological graph based on the environment temperature, the node flow and the node temperature; the monomer temperature and heat supply backflow data of each heating monomer are obtained, and a monomer heating model is constructed for each heating monomer based on the environment temperature, the monomer temperature and the heat supply backflow data; and determining a flow regulation and control strategy based on the monomer heating model and the branch line heat supply loss model, and adjusting the monomer heat supply flow of the heat supply secondary network based on the flow regulation and control strategy. According to the method, heat supply hydraulic balance can be achieved through precise flow regulation and control precision.

The invention provides an electric kettle heating control method and system based on intelligent temperature control, and relates to the technical field of household appliances. A multi-dimensional temperature measurement module is introduced, a plurality of high-precision temperature sensors are distributed at different positions in an electric kettle, and temperature distribution information of the different positions in the kettle can be obtained in real time; and local temperature misjudgment caused by a single sensor is effectively avoided. Meanwhile, the water level detection module can accurately measure the real-time water volume. On the basis, the system can dynamically distribute contribution indexes of all temperature measurement point positions according to the real-time water quantity, the heating power is adjusted in real time in combination with a PID algorithm, the temperature control precision and stability are remarkably improved, temperature misjudgment is reduced, accurate control over the heating process is achieved, and it is ensured that the water temperature can accurately reach the target temperature set by a user.

The invention discloses a device and method for preparing biochar from corncobs, and belongs to the technical field of biochar preparation, the device comprises a machine base, a frame is fixed outside the machine base, an outer cylinder is horizontally fixed on one side of the machine base, and the outer cylinder is fixedly connected with the frame; the crushing seat is arranged above the outer cylinder; the combustion system is arranged on one side of the outer barrel, and the combustion system is externally connected with a hot gas booster fan; the sealing end cover is fixed in the outer cylinder body; the carbonization cylinder is rotationally mounted on the machine base, and one end of the carbonization cylinder is coaxially and rotationally connected with the sealing end cover; the heat control unit is arranged in the annular cavity of the carbonization cylinder; the material guide channel is arranged on the sealing end cover; the filter material unit is fixed in the carbonization cylinder; according to the device, a scrap mixture can be graded according to the particle size, primary carbonization of the scrap mixture is achieved, then the scrap mixture is remixed and then subjected to high-temperature pyrolysis carbonization, and the purity and quality of biochar preparation are improved.

The invention discloses an AI-based server power consumption dynamic optimization and cooperative heat dissipation control system, which belongs to the technical field of computer system optimization, and comprises a multi-source data acquisition module for acquiring server hardware, machine room environment and heat dissipation equipment data in real time through a distributed sensor and a software probe; the AI intelligent analysis and decision module constructs a hybrid intelligent framework, extracts multi-dimensional features to predict power consumption and temperature trends, and generates a comprehensive optimization decision; the power consumption dynamic adjustment module adjusts hardware parameters and cooperates with process scheduling; the cooperative heat dissipation control module dynamically adjusts heat dissipation equipment; and the running state monitoring and feedback module monitors data, compares the data with a threshold value, and performs early warning and feedback in case of abnormality. Through multi-module collaboration and AI enabling, intelligent dynamic collaborative management of power consumption and heat dissipation is realized, data acquisition is accurate, power consumption is balanced, operation cost and energy consumption are reduced, and requirements of data centers of different scales are met.

The invention provides a battery heating control method and system and a vehicle, relates to the technical field of vehicle control, and is used for solving the problem of non-uniform temperature of battery modules in the related art. The method comprises a plurality of battery modules, a plurality of heating films arranged at the bottoms of the battery modules, a plurality of heating control loops and a battery management module; the heating control loop is used for controlling the heating film to heat the battery module; the battery management module is used for determining a battery module to be subjected to temperature regulation based on the temperature distribution condition of the plurality of battery modules, and the battery module to be subjected to temperature regulation comprises one or more battery modules; and the control module is also used for controlling the target heating control loop to adjust the output power of a target heating film corresponding to the battery module to be subjected to temperature adjustment, and the target heating control loop is a heating control loop corresponding to the target heating film, so that the temperature distribution of the battery module can be more uniform through the technical scheme.

The invention relates to the technical field of semiconductor device preparation, and discloses a semiconductor annealing method and system and a storage medium, and the method comprises the steps: dividing a wafer structure into a central region, a transition region and an edge region, and calculating the central transition cooperative gain and the transition edge cooperative gain between the regions; the infrared pyrometers in all the areas are independently calibrated; sequentially setting PID control parameters of the central area, the transition area and the edge area based on the calibration result; and performing cooperative heating control on the wafer based on the set PID parameters until the annealing treatment is completed. According to the invention, the real-time following of the temperature of each region of the wafer is realized through master-slave cooperative gain control, the temperature uniformity among the regions of the wafer in the annealing process is improved, the problem of temperature lag or overheating of the edge region in the annealing treatment process is effectively solved, and the performance consistency of the semiconductor annealing process is ensured.

The invention discloses a heat dissipation control method, device and system based on an array chip and a medium. The method comprises the steps that the basic valve opening degree is determined based on the temperature value of any partition and a valve opening degree mapping table; determining a target valve opening degree of each electric valve based on the basic valve opening degree and a spray coverage overlapping model, and sending the target valve opening degree to each electric valve; calculating a target total flow based on all target valve opening degrees, adjusting the rotating speed of a liquid supply pump through a frequency converter, and enabling a measured value of a flow sensor to be the target total flow; determining a target pressure value based on the saturation temperature of the cooling liquid, and adjusting the power of the vacuum pump or the three-way vacuum electromagnetic valve to enable the pressure value of the evaporation cavity to be the target pressure value. According to the method, three-layer linkage logic of partition precise temperature control, system flow coordination and global pressure setting is established, scattered devices are integrated into a whole, overall adjustment of the system level is achieved during heat dissipation control, instructions do not need to be sent frequently to control each valve, and the electric energy consumption of the system is reduced.

The invention discloses a dynamic control method and system for a modularized energy-saving array of a server fan, relates to the technical field of server heat dissipation control, and aims to improve the efficiency of the modularized energy-saving array of the server fan through collaborative optimization of multi-dimensional data acquisition and federated learning in combination with a dynamic speed regulation and redundancy control mechanism. The method achieves the precise prediction of the load change, optimizes the distribution of heat dissipation resources, reduces the energy consumption, and improves the heat dissipation efficiency and equipment operation stability.