1701 results about "Heat control" patented technology

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 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 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 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 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 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 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.

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

The invention discloses a hydrothermal management system and method of a fuel cell and a fuel cell system. A cooling water circulation subsystem comprises a water inlet pipeline, a water outlet pipeline and a circulation module; the circulating module is used for controlling the cooling water to circularly flow in the fuel cell; the hydrothermal control subsystem comprises a control module, a power supply module, a temperature adjusting module and a signal acquisition module; the power module is used for providing electric signals for the temperature adjusting module. The temperature adjusting module is used for adjusting the temperature in the fuel cell according to the power supply signal; the signal acquisition module is used for acquiring the water inlet temperature, the water outlet temperature and the battery plate temperature of the fuel cell; the control module is used for acquiring the temperature of the water inlet, the temperature of the water outlet and the temperature of the battery pole plate in real time, controlling the working state of the circulation module and controlling a power supply signal provided by the power supply module to the temperature regulation module, and the scheme realizes accurate regulation and control of the temperature of the fuel cell, improves the output performance of the fuel cell and prolongs the service life of the fuel cell.

According to the PLC thermal control system of the heat exchange station, various high-precision sensors, such as a temperature sensor, a pressure sensor, a flow sensor and an outdoor environment sensor, are arranged at key positions of the heat exchange station, and operation parameters in the station and external environment data are collected in real time. The data can be quickly transmitted to the PLC control unit, the PLC preliminarily processes and analyzes the data, and multiple energy devices of the heat exchange station are intelligently dispatched in combination with a multi-energy complementary cooperative regulation and control mechanism. For example, when it is predicted that the heat load requirement is high, the system can preferentially start the gas-fired boiler with the high efficiency and coordinate auxiliary energy equipment such as the ground source heat pump and the air source heat pump to work cooperatively, so that it is ensured that the heat load requirement is met, and meanwhile the energy utilization efficiency is improved to the maximum extent.

The invention discloses a heat pump waste heat recovery cooperative heat supply method and system, and relates to the technical field of intelligent heat supply control, and the method comprises the steps: collecting environment data and heat pump operation data through a sensor, and carrying out the data preprocessing; modeling the operation state of the heat pump system by using a gradient lifting tree algorithm, constructing a heat pump load prediction model, and outputting load prediction; in combination with the load prediction result and the heat pump operation data, a collaborative heat supply strategy is obtained through an optimization algorithm; and waste heat recovery scheduling is carried out according to the load prediction result and the current waste heat recovery condition. According to the method, the accuracy and the real-time performance of load prediction can be remarkably improved, heat source configuration and heat supply requirements are highly matched, the waste heat utilization rate is improved to the maximum extent, power consumption is reduced, meanwhile, the indoor comfort degree and the system operation stability are guaranteed, finally, the operation cost is remarkably reduced, and the service life of equipment is prolonged.

The invention discloses a wind-water combined heat dissipation method and device for a hydraulic station, and relates to the technical field of hydraulic heat dissipation control. The wind-water combined heat dissipation method comprises the steps that an expected die-casting plan of a target die-casting machine is read; an expected working load is determined, temperature rise trend prediction of oil liquid of the multiple hydraulic components is carried out, and multiple predicted oil temperatures are output; performing cooling demand analysis, and determining a plurality of initial cooling temperature values; carrying out lubrication performance attenuation analysis, compensating the plurality of initial cooling temperature values, and outputting a plurality of cooling temperatures; a wind-water combined heat dissipation twin model is constructed, heat dissipation parameter simulation optimization is carried out, and an optimized heat dissipation control strategy is output; and according to the optimized heat dissipation control strategy, heat dissipation control in the cooling backflow period is conducted on the target hydraulic station. The technical problems that in the prior art, heat dissipation accuracy and practicability are insufficient, and the working quality and working efficiency of the hydraulic station are affected are solved, and the technical effects that the heat dissipation accuracy and practicability of the hydraulic station are improved, and the working efficiency and working quality of the hydraulic station are improved are achieved.

The invention relates to the technical field of semiconductor devices, in particular to an active phase change heat dissipation control method and system for a silicon carbide power device, and the method specifically comprises the steps: obtaining inherent heat dissipation structure parameters, and synchronously collecting vibration data and transient heat flow data in real time; inputting the inherent heat dissipation structure parameters and the vibration data into a vibration-gap coupling influence evaluation module for evaluation to obtain an interface thermal resistance deterioration risk index; inputting the inherent heat dissipation structure parameters and the transient heat flow data into a heat flow-migration coupling influence evaluation module for evaluation to obtain a distribution uniformity degradation trend index; introducing a phase change stability correction factor, and performing fusion analysis to obtain a comprehensive heat dissipation performance index; and comparing the heat dissipation performance with a preset heat dissipation performance threshold value to generate a corresponding cooperative control instruction set. The problem that in the prior art, prospective, accurate and self-adaptive active heat dissipation cooperative control of the silicon carbide power device cannot be achieved is solved.

The invention provides an intelligent cabinet heat dissipation control method and system, and belongs to the technical field of cabinet heat dissipation control. According to the method, data items all have acquisition time and cabinet area identifiers; the method comprises the following steps: dividing a cabinet hot area by using fuzzy clustering based on a historical sample, dynamically modeling by combining an adaptive PID control algorithm, optimizing control parameters through a particle swarm optimization algorithm, adjusting a hot area control model weight coefficient according to real-time feedback, generating a hot area-equipment association map, and constructing an adaptive heat dissipation control network; predicting a temperature trend through a decision tree model by using a correlation map and real-time operation characteristics generated by the network, and generating a fan rotating speed adjusting strategy, an air conditioner power distribution scheme and a multi-stage heat dissipation control strategy according to the temperature trend; inputting a heat dissipation control strategy and an execution result as feedback into the self-adaptive heat dissipation control network, and dynamically optimizing a correlation map and control parameter modeling; and multi-cycle feedback closed-loop optimization control is realized through multi-time feedback and parameter adjustment.

The invention relates to the technical field of transformer intelligent monitoring and heat dissipation control, in particular to a transformer system based on intelligent monitoring and self-adaptive heat dissipation and a transformer heat dissipation method, and the system comprises an intelligent monitoring module which is used for collecting physical quantity data in the operation process of a transformer in real time through a sensor; the data processing and analyzing unit is used for receiving the data transmitted by the intelligent monitoring module and establishing a transformer operation state model; the self-adaptive heat dissipation control module is used for receiving the operation state analysis result and dynamically adjusting operation parameters of the heat dissipation system based on a temperature threshold value and a load rate; and the fault early warning and diagnosis module is used for establishing an operation state evaluation model and a fault prediction model by adopting a machine learning algorithm, receiving an operation state analysis result and comparing the operation state analysis result with an early warning threshold value. Accurate monitoring, self-adaptive heat dissipation and fault early warning of the transformer are achieved, stable operation is guaranteed, and energy consumption is reduced.

The invention discloses a charging pile cable intelligent control method and system based on double-phase-change heat dissipation, and relates to the technical field of intelligent heat dissipation control. The charging pile cable intelligent control method and system based on double-phase-change heat dissipation comprises the steps that S1, double-phase-change thermal control sensing data of a charging pile cable is periodically collected, and the double-phase-change thermal control sensing data is preprocessed; s2, constructing a paraffin phase change heat buffer load item and a fluorinated liquid heat dissipation capability item, quantifying a phase change heat dissipation switching state index value, identifying a current dominant heat dissipation state and generating a corresponding cooling strategy; s3, the execution deviation of the current cooling strategy is evaluated, and whether a cooling strategy reset and protection mode is triggered or not is judged; and S4, the applicability of the current cooling strategy is evaluated, self-adaptive dynamic adjustment operation of cooling strategy parameters is executed, and a cooling strategy adjustment closed loop is achieved. The problems that during high-power fast charging, instant heat of a flexible cable conductor is difficult to dissipate in time, the conductor is easily overheated, and protection is frequently triggered are solved.

The invention relates to the technical field of mass concrete hydration heat monitoring, and particularly discloses an optimized layout method and system for mass concrete hydration heat monitoring sensors. The temperature field and the stress field are obtained through the trained prediction model and the target parameters of the concrete pouring project, the prediction precision of the temperature field is improved, meanwhile, the key monitoring area is determined according to the temperature field and the stress field, the contribution degree and optimization solution are combined, the optimal layout scheme is obtained, the space coverage degree of temperature monitoring is improved, and the prediction precision of the temperature field is improved. The use efficiency of the sensor is optimized, the monitoring cost is reduced, and a more intelligent solution is provided for hydration heat control in the mass concrete construction process.

The invention relates to the technical field of mask heat dissipation control, and discloses a heat dissipation control method and system for a protective mask, and the system comprises an image collection module which carries out the splicing processing of a plurality of visual images, determines a spliced visual image of a heat dissipation fan, an image analysis module which generates a visual recognition mark based on visual pixel points, and carries out the recognition of the visual recognition mark. The visual identification module is used for obtaining visual identification marks, judging whether dust parameters are obtained or not according to the visual identification marks, determining the dust parameters based on a visual identification model and a spliced visual image and determining the reasonability of a heat dissipation environment according to the dust parameters, and the image processing module is used for comparing the dust parameters in a historical heat dissipation database to determine an approximate result. Whether data of a historical heat dissipation database is called or not is judged based on the approximation result, heat dissipation rotating speed data is determined based on the dust parameters and a dust correlation model, and the heat dissipation control module conducts heat dissipation based on the heat dissipation rotating speed data. The heat dissipation reliability of the protective mask is ensured.

The invention provides an intelligent heat supply control method based on load prediction and related equipment thereof, and the method comprises the steps: obtaining environment data and real-time operation data of heat supply equipment, and the environment data comprises indoor environment data of the heat supply equipment and outdoor meteorological data; processing the indoor environment data, the outdoor meteorological data and the operation data through a preset prediction model, and determining target load prediction data; based on the target load prediction data and the current time-of-use electricity price data, constructing an optimization control target function; through the optimization control objective function, performing optimization processing on initial output parameters of the heat supply equipment, and determining target adjustment parameters of the heat supply equipment; and the output of the heat supply equipment is regulated and controlled through the target adjustment parameters. Through the steps of the method, cooperative adjustment of the multi-heat-source equipment can be achieved, and the operation cost is remarkably reduced while stable and comfortable heat supply is guaranteed.

The invention discloses a building energy consumption regulation control method and system based on energy-saving monitoring, and relates to the technical field of buildings, the energy-saving monitoring method of the invention significantly improves the precision of building energy efficiency regulation by accurately capturing temperature evolution sequences of different structural units and establishing a building response vector group. The indoor temperature can be dynamically predicted and adjusted by utilizing the heat capacity, the lag error and the cooling capacity release curve of each structural unit and combining accurate recognition of the cooling capacity release time window. Compared with a traditional heat supply control method based on fixed temperature control setting, the method has the advantages that thermal inertia and energy release of the building structure unit can be sensed in real time, excessive heat supply and energy waste are reduced, accurate control based on the structure unit characteristics and the time window feedback mechanism is beneficial to reduction of energy consumption of the building, and the energy consumption of the building is reduced. And meanwhile, the indoor temperature control comfort and the energy-saving effect are improved.

The invention relates to the technical field of intelligent heat supply management, in particular to an intelligent heat supply integrated management system based on multi-source data driving, which comprises a multi-source data acquisition module for acquiring multi-source data of each target heat supply area of a heat supply network; the key delay time extraction module is used for acquiring the adjustment condition of the heat supply control data to generate key delay time; the sensitive parameter identification module is used for determining a heat supply adjustment sensitive parameter and a heat supply response sensitive parameter based on the key delay time; the characteristic interval analysis module is used for determining a change trend characteristic interval based on a pre-change trend corresponding to the change characteristic interval; the pre-adjustment time determining module is used for determining a plurality of pre-adjustment times based on the change trend characteristic interval; and the pre-adjustment time calling module is used for acquiring the real-time multi-source data of the heat supply network to determine whether pre-adjustment is started or not, and determining the pre-adjustment time. The response speed and the adjusting precision of the heat supply system are improved.

This invention discloses a fully automatic intelligent cooking machine, comprising a cooking mechanism, a seasoning mechanism, a conveying mechanism, a food preparation mechanism, a heat preservation mechanism, and a central control system. The seasoning mechanism is located above the cooking mechanism, the conveying mechanism is positioned between the cooking mechanism and the heat preservation mechanism, and the food preparation mechanism is located to one side of the conveying mechanism. The central control system includes a communication module connected to the cooking mechanism, seasoning mechanism, conveying mechanism, food preparation mechanism, and heat preservation mechanism. This invention offers advantages such as reasonable ingredient mixing, precise heat control, even heating of the cooking pan, thorough and even stirring during cooking, easy and quick cleaning of the cooking pan, and preservation of the freshness of the finished dish.

According to the vehicle battery heating control method and device, the electronic equipment and the storage medium provided by the embodiment of the invention, the actual battery temperature and the actual pulse current value of the vehicle battery are monitored in real time in the process of circularly generating the pulse current between the vehicle battery and the three-phase winding of the motor; updating pulse signal parameters based on the actual battery temperature, the actual pulse current value and a preset current upper limit value, wherein the pulse signal parameters comprise a pulse beat and a pulse amplitude; and on the basis of the updated pulse signal parameters, the three-phase bridge arm is controlled to be circularly switched on and switched off, so that new pulse current is circularly generated between the vehicle battery and the three-phase winding of the motor. The battery temperature and pulse current are monitored in real time, pulse signal parameters are dynamically updated, fed back and corrected, accurate and efficient heating of the vehicle battery is achieved, meanwhile, the safety of the heating process is guaranteed through current upper limit control, and the heating efficiency and the system stability are both considered.

The invention discloses a dust removal control method for a heat dissipation fan of a new energy truck, which comprises the following steps of: by taking an FCU and power-on linkage of the whole truck as a starting point, performing self-inspection on a power supply link, a communication link, a driving link and a sensing link, and forcibly executing one-time reverse dust removal after the power supply link, the communication link, the driving link and the sensing link are qualified; pWM is adjusted in real time based on segmented threshold values of the motor temperature and the controller temperature and linear mapping, the duty ratio is restrained by the change rate, and rotation stopping buffering is conducted before forward / reverse rotation switching; when the temperature exceeds the limit, full-load heat dissipation is preferentially carried out, and power is limited in cooperation with the MCU; and meanwhile, periodic dust removal including smooth speed reduction, rotation stopping, reverse rotation, rotation stopping and recovery according to mapping is executed in a non-emergency heat dissipation window according to RTC accumulated forward rotation working hours. According to the method, the problems that dust accumulated in the air duct is difficult to remove online, heat dissipation control is extensive and the overheating risk is high under the high-dust working condition are solved, and the technical effects that the air volume and the heat exchange efficiency are stable, energy consumption and NVH are reduced, and the maintenance frequency and the fault rate are reduced are achieved.

The application provides a shipborne energy storage unit, a shipborne energy storage device and a power supply equipment. The shipborne energy storage unit comprises an energy storage cabinet, a plurality of battery modules, an electrical connection device and a heat exchange system. The energy storage cabinet comprises a frame, a top plate and a plurality of layers of bearing plates. The top plate is arranged at the top of the frame, and the plurality of layers of bearing plates are arranged in the frame and below the top plate. The plurality of layers of bearing plates are arranged in a vertical direction. Each layer of bearing plate carries at least one battery module. The electrical connection device is arranged on one of the plurality of sides of the energy storage cabinet and is used for electrically connecting the conductive rows of the plurality of battery modules. The heat exchange system is arranged on another of the plurality of sides of the energy storage cabinet. The heat exchange system is connected to the plurality of layers of bearing plates and is used for controlling the temperature of the battery modules through the bearing plates.

The energy recycling heat control device provided by the embodiment of the present application comprises a liquid collecting chamber, an engine assembly and a spring, the engine assembly and the spring are arranged between the liquid collecting chamber and an injector, the pushing action of a piston by the target gas filling parameters in a sealed space of the engine assembly is combined with the spring mechanical parameters of the spring to control the distance between a heat plate and the outer wall of the liquid collecting chamber, so that the heat energy is recycled and reused, which is beneficial to improve the rapid response speed of the engine, reduce the power consumption, and thus reduce the risk of explosion after shutdown.

The invention discloses an aluminum magnesium alloy energy-saving melting device and method based on electromagnetic induction preheating, and belongs to the technical field of aluminum magnesium alloy preparation. The device comprises a preheating curve generation module used for determining a preheating curve based on the weight of an electromagnetic preheating station and the position of a magnesium ingot; the preheating module is used for controlling an induction heating device to carry out electromagnetic preheating on the magnesium ingot based on the preheating curve; the feeding module is used for calculating the clamping force and the acceleration of the manipulator for grabbing the magnesium ingot and the feeding angle after the manipulator reaches the target position, and controlling the manipulator to feed the magnesium ingot into the crucible based on the parameters; the air supply adjusting module is used for adjusting the air supply amount of the variable-frequency fan; and the heating control module is used for controlling the heating process of the heating device to the outside of the crucible. According to the scheme, the heating time can be shortened through electromagnetic preheating, the heat loss is reduced, and the overall energy consumption can be reduced and the melting efficiency and the alloy quality can be improved by combining real-time temperature field monitoring and molten pool recognition.