3334 results about "Heat generation" patented technology

The invention discloses a geothermal field parameter inversion calculation method, device and system, and a storage medium. The method comprises the following steps: establishing a geophysical stratified model; through Monte Carlo sampling of preset parameter spaces of the crustal heat generation rate and the heat conductivity, a temperature value is calculated in combination with a heat conduction equation, and a Gaussian likelihood function evaluation model is constructed to predict the matching degree of the temperature and the actually measured temperature; obtaining the optimal estimation of the thermal parameters, a confidence interval and a correlation matrix among the parameters based on the posterior probability distribution; and according to the correlation matrix, taking a high-confidence result generated by Monte Carlo inversion as priori knowledge of a physical guidance neural network PINNs, and finally outputting a thermal parameter spatial distribution prediction result of the target area through parameter initialization constraint, output layer range limitation and a physical regularization loss item. By adopting the technical scheme of the invention, the defects that the existing actually measured geothermal field parameters are rare and the regional characteristics cannot be described and the geophysical joint inversion of the geothermal field parameters cannot be realized in the prior art are overcome.

A refrigeration fan with lateral heat dissipation is provided, including a fan head and a hand-held handle. A conductive sheet is laid on an outer surface of the hand-held handle, a cavity is arranged in the hand-held handle, and a cold-heat generation apparatus is mounted in the cavity. The hand-held handle is provided with an air inlet and an air outlet, a refrigeration end of the cold-heat generation apparatus is connected to the conductive sheet in a heat conduction manner, and a heat dissipation end of the cold-heat generation apparatus communicates with the air outlet.

The invention relates to the technical field of turret heat management, in particular to a power turret heat management optimization method and system based on intelligent cooling, and the method comprises the steps: obtaining the temperature distribution data and related working condition parameters of a power turret in real time, and building a heat state feature vector representing the dynamic relation between the heat generation and heat dissipation capability of the turret; constructing a cooling decision model, inputting the state vector into the cooling decision model, and generating an initial control strategy; the initial control strategy is simulated and executed in the digital twin environment, and a strategy reconstruction mechanism is triggered when the predicted temperature suppression rate is lower than a set threshold value; and performing real-time dynamic optimization on the verified initial control strategy according to the processing quality constraint and the equipment safety threshold, and superposing the thermal inertia delay compensation amount to generate a final control strategy. According to the method and the device, the problem of temperature control failure caused by thermal inertia time lag is effectively solved, accurate space-time matching of the cooling instruction and the thermal load peak value is realized, and thermally induced deformation is remarkably inhibited.

The invention relates to the technical field of equipment parameter optimization, and discloses a liquid cooling system parameter optimization method and system for a data center. The method comprises the steps of performing wavelet noise reduction processing on thermal load data of equipment, and constructing a time sequence heat generation model; the thermodynamic model and the time sequence heat generation model are fused to generate a comprehensive heat model, an objective function and constraint conditions are set, and a parameter combination is output; the parameter optimization model generates a standard parameter combination based on the parameter combination, the standard parameter combination is substituted into the parameter optimization model for evaluation, and an optimal parameter combination is output; the operation parameters of the liquid cooling system are adjusted in real time, the actual system operation data of the liquid cooling system are collected, the actual system operation data are compared with the expected equipment thermal load data of the data center, the parameter deviation is obtained, and the operation parameters are dynamically adjusted based on the parameter deviation. According to the invention, the efficiency and accuracy of parameter optimization of the liquid cooling system are improved.

The invention discloses an energy storage liquid cooling unit control strategy generation method and device based on working condition prediction, equipment and a storage medium, and relates to the technical field of power grids, and the method comprises the steps: building a prediction model based on working condition data of an energy storage system, determining initial prediction power and predicted battery electric quantity based on a preset coefficient and the working condition data, the prediction model is used for correcting the initial prediction power to obtain target prediction power, the predicted heating power of the battery cell is determined based on the equivalent internal resistance of the battery cell and the voltage of the battery cell, the operation parameters of the liquid cooling unit are fitted based on a preset calibration coefficient to obtain the expected refrigerating capacity, and the predicted temperature of the battery cell is determined; adjusting the initial strategy by using the liquid cooling unit control rule and based on the temperature deviation degree and the temperature change rate to obtain a target energy storage liquid cooling unit control strategy so as to control the energy storage liquid cooling unit; the temperature deviation degree and the temperature change rate are data determined based on the preset battery working temperature range and the battery cell predicted temperature, so that the efficiency of generating the energy storage liquid cooling unit control strategy is improved.

The invention provides a lithium ion battery core temperature prediction method based on a finite element model, and the method comprises the following steps: 1, designing an electrochemical test experiment, and constructing a one-dimensional electrochemical model containing a lithium ion battery electrochemical heat production mechanism; 2, designing a lithium ion battery temperature test experiment, obtaining electrochemical parameters, heat transfer characteristic parameters, internal thermophysical parameters and environmental parameters of the battery under different working conditions, and obtaining a temperature change curve of the center position and the surface of the battery; and step 3, based on the heat balance equation, establishing a three-dimensional heat transfer model having the same geometric characteristics as the battery used in the experiment. According to the experimental result in the step 2, the three-dimensional heat transfer model is subjected to non-uniform region division, each region corresponds to one one-dimensional electrochemical model, and the heat production rate per unit volume is calculated by the one-dimensional electrochemical model in the step 1; introducing the heat production rate of each area into a three-dimensional heat transfer model to calculate the temperature distribution of the battery, and designing an experiment to correct a one-dimensional electrochemical model; 4, modifying the operation conditions and heat dissipation conditions of the battery, and calculating and analyzing the temperature difference delta T between the center position and the surface position of the battery under different operation conditions and heat dissipation conditions by using the three-dimensional heat transfer model in the step 3; and 5, measuring the surface temperature of the battery, and calculating the temperature of the center of the battery according to the working condition of the battery in the step 4 and the delta T corresponding to the environment temperature, thereby realizing monitoring of the temperature of the center position of the battery. According to the method, a high-precision algorithm model is constructed and verified by utilizing data accumulated in an earlier-stage experiment, the central point temperature which is difficult to directly measure in the battery is predicted only through real-time and easily-acquired battery surface temperature information, operation condition parameters and heat dissipation conditions, key thermal state information is provided for a battery management system, and the battery management efficiency is improved. The method is used for real-time safety monitoring and thermal management optimization.

The invention discloses a server, which comprises a mainboard module, a liquid cooling substrate, a first heat dissipation pipeline and a second heat dissipation pipeline, and is characterized in that a plurality of heating modules on a mainboard body of the mainboard module are at least arranged at intervals along a first direction; the liquid cooling substrate covers the mainboard body, and the outer peripheral contour line of the liquid cooling substrate exceeds the outer peripheral contour line of the mainboard body; the first heat dissipation pipeline and the second heat dissipation pipeline are both embedded in the surface of the side, away from the mainboard body, of the liquid cooling substrate, and the first heat dissipation pipeline communicates with the first sub liquid cooling plate of the heating module with the maximum heat generation amount in the multiple heating modules; the second heat dissipation pipeline at least extends in a bent shape in the first direction; the liquid cooling substrate is attached to at least a part of the heating modules in the rest of the heating modules with the maximum heat production capacity. The problem that all heating elements on a mainboard of a server cannot be effectively cooled by a liquid cooling heat dissipation system in the related technology is at least solved.

The invention relates to the technical field, provides a notch liquid cooling structure of a flat wire motor stator, and realizes high-efficiency and low-consumption motor stator cooling through an accurately-positioned full-coverage liquid cooling structure. In order to achieve the purpose, the motor comprises a stator iron core, closed iron core wire grooves are evenly distributed in the inner edge of the stator iron core, wires forming windings are inserted in the iron core wire grooves, the wires are tightly attached to the outer diameter ends of the iron core wire grooves, oil way channels are formed between the wires and the inner diameter ends of the iron core wire grooves, the two ends of the stator iron core are provided with end rings, and the two ends of the stator iron core are provided with end rings. The end ring wraps the wire, and the end ring and the oil path channel form a closed oil path space. Due to the adoption of the technical scheme, the oil path channel formed between the wire and the inner diameter end of the iron core wire slot is matched with the closed oil path space formed by the end ring and the oil path channel, and the position of the oil path channel is used for accurately cooling the wire with the highest heating.

The invention relates to the technical field of data center thermal management, and discloses a data center liquid cooling precise temperature control method and system, and the method comprises the following steps: pre-analyzing a calculation task to generate a power consumption prediction sequence; combining the power consumption prediction sequence with the real-time state information of the liquid cooling system, calculating the heat cost of the task at each candidate calculation node through a digital twin model, and selecting a target execution node according to the heat cost; inputting the power consumption prediction sequence and real-time state information into a reinforcement learning controller, and generating a composite coordination action containing a flow regulation instruction and a dynamic power consumption upper limit instruction; and cooperatively controlling the micro-fluidic execution array and the chip power consumption management unit on the target execution node according to the composite coordination action. Through prospective power consumption prediction and two-way cooperative control from the heating end and the heat dissipation end, intelligent distribution and accurate temperature control of thermal loads are achieved, temperature overshoot is effectively restrained, and the overall operation energy consumption of the data center is reduced while the system reliability is guaranteed.

The invention discloses a thermal management method and device of an electric vehicle and a nonvolatile storage medium. The method comprises the following steps: acquiring temperature data and vehicle operation data in a target vehicle; based on the vehicle operation data and the temperature data, the heat production amount of a power system in the target vehicle is calculated; based on the heat production amount and the temperature data, predicting the temperature of the power system to obtain a temperature prediction value; and when the temperature prediction value is between a first preset threshold value and a second preset threshold value, adjusting the temperature of the power system based on a multi-objective optimization algorithm, a plurality of optimization targets corresponding to the multi-target optimization algorithm comprise at least two of the following targets: taking the minimum power consumption of the target vehicle as a target, taking the minimum temperature of a controller in the target vehicle as a target, and taking the minimum temperature difference corresponding to a battery in the target vehicle as a target. The technical problem that the energy utilization rate is low due to the fact that global heat management is difficult to perform due to independent operation of a plurality of systems in an existing electric vehicle is solved.

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

The invention provides a rotary table bearing-torque motor thermal vibration coupling modeling method, and relates to the technical field of machine tool reliability analysis. Comprising the steps of calculating bearing restoring force, torque and elastic rigidity; giving a dynamic balance equation of the main shaft system; unbalanced magnetic pulling force and unbalanced mass excitation are calculated; a displacement field is solved, and load changes caused by the displacement field are transmitted to the thermal model; the contact force borne by the bearing is updated by considering the load effect related to displacement, and the friction heat generation of the bearing and the heat generation of each part of the motor are calculated; calculating thermal deformation and thermal displacement of the bearing; thermal resistance among nodes is calculated, and a temperature field equilibrium equation is given through a thermal resistance network to achieve rapid thermal-mechanical coupling analysis; the thermal equilibrium equation is solved to calculate temperature response; importing the latest temperature into the kinetic model; lubricating grease viscosity and bearing thermal deformation are updated; and repeating the steps to finally obtain the main shaft displacement field and temperature field response. The method is high in accuracy, high in universality, low in test cost and high in test efficiency.

The invention relates to the technical field of battery energy storage station heat management, and discloses a battery energy storage station heat management optimization method based on multi-target control, which comprises the following steps: constructing a mathematical model of an energy storage station heat management system, and defining a state variable and a control variable of the model; the mathematical model comprises a battery heat production model, a battery heat exchange model, an SOC dynamic model and an energy storage station power balance model; based on the mathematical model of the thermal management system of the energy storage station, establishing a multi-target comprehensive evaluation function and setting constraint conditions; according to the defined state variables and control variables, the multi-objective comprehensive evaluation function and set constraint conditions, learning iteration is carried out based on a Q learning algorithm, a Q value is obtained when a preset convergence condition is reached, and an optimal control variable distribution strategy is output; and performing thermal management optimization on the energy storage station based on the optimal control variable distribution strategy. According to the invention, the balance among the targets is realized based on the combination of the multi-target control strategy and the optimization algorithm, and guarantee is provided for the performance and safety of the battery energy storage station.

The invention discloses a cable trench heat dissipation structure based on optimized arrangement of heat pipes and a design method thereof. The method comprises the following steps: acquiring the total heating value of each cable in the cable trench in the unit length in the extension direction of the cable trench, and determining the diameter of each heat pipe and the number of heat pipes needing to be configured in the unit length in the extension direction of the cable trench according to the total heating value and a heat transfer power upper limit model of a single heat pipe; constructing a multi-physics field coupling simulation model including a thermal field and a temperature field according to the determined diameters of the heat pipes, the number of the heat pipes needing to be configured in the unit length in the extension direction of the cable trench, the structural parameters of the cable trench and the laying environment parameters of the cable trench, and establishing a multi-physics field coupling simulation model based on the multi-physics field coupling simulation model. Optimizing arrangement parameters of the heat pipes in the cable trench; wherein the heat pipe arrangement parameters comprise the insertion depth of the heat pipes in the cable trench and the distance between the adjacent heat pipe sets, and one heat pipe set comprises at least one heat pipe. The current-carrying capacity of the cable in the cable trench can be improved.

The invention discloses a genetic algorithm-based battery module heat dissipation channel optimization design method. The method comprises the following steps of S1, acquiring operation data of a battery module under a plurality of dynamic load working conditions; s2, constructing an initial heat dissipation channel topological structure model based on a physical packaging structure of the battery module and a flow channel layout constraint; s3, setting a multi-objective optimization objective function set; s4, performing heat-fluid-solid coupling simulation on each heat dissipation channel structure candidate body in the first generation population structure by taking the heat generation power matrix as a heat source boundary condition; s5, performing fitness calculation on the obtained heat-flow performance index set by using a multi-objective genetic algorithm based on Pareto optimal sorting; s6, repeating S4 and S5 until a preset convergence criterion or an upper limit of the number of iterations is met; and S7, carrying out comprehensive performance verification and manufacturing feasibility evaluation on the heat dissipation channel topological structure model. The method has the advantages of being high in global search capability, high in heat source response authenticity and good in structural expression diversity.

The invention relates to the field of vehicle control, in particular to a battery cell safety thermal management system for an electric vehicle and an intelligent control method. According to the invention, the differential sensors are arranged in the key area of the battery system and redundancy design is adopted, so that all-directional and multi-dimensional monitoring of the temperature field of the battery is realized; a high-heat scene is pre-judged through an extreme working condition heat production prediction model, a grading early warning mechanism is combined, the heat risk grade, the battery damage stage and the user requirement of a cross-country scene are accurately matched, full-chain protection of prevention, control and emergency is achieved, the influence of excessive intervention on the cross-country performance is avoided, and system safety under the extreme working condition is ensured; the hysteresis of the prediction model is made up through a transient protection mechanism, the prediction lag of the heat production prediction model under the extreme working condition is supplemented through immediate response aiming at the sudden working condition, the thermal runaway risk caused by the time difference of a prediction-execution chain is avoided, and meanwhile, the performance is prevented from being sacrificed due to excessive protection through the strategy of combining short-time redundancy with dynamic falling back.

The invention discloses a notebook computer waste heat recycling system and method based on a thermoelectric conversion effect, and relates to the technical field of thermoelectric materials and devices, and the system comprises a distributed thermoelectric array module which is composed of a plurality of miniature TEG units, is distributed in a high heating area of a notebook computer, and directly generates power through temperature difference; the self-adaptive heat management module comprises a heat-conducting silica gel layer and micro heat dissipation fins and is used for optimizing the temperature difference between the hot end and the cold end; the multi-stage electric energy management module comprises a rectifying circuit, a DC-DC boosting chip and a recycling energy storage battery device, converts the unstable low-voltage direct current output by the TEG into stable electric energy, stores the stable electric energy and supplies the stable electric energy to target equipment; and the intelligent control module dynamically adjusts the working area of the micro thermoelectric power generation unit according to the data of the temperature sensor, preferentially selects the position with the maximum temperature difference to generate power, and matches the power supply demand through a PMIC chip. Efficient conversion and utilization of waste heat are realized through innovative design, the problem of low thermoelectric conversion efficiency in miniaturized equipment is solved, and energy conservation and environmental protection are realized.

Provided in the present application are a heat dissipation test system and method, and an apparatus, a device and a computer program product. The heat dissipation test system comprises a heat dissipation apparatus and a plurality of heat production simulation apparatuses, wherein each heat production simulation apparatus is used for simulating a heat production component that requires heat dissipation in a server, the plurality of heat production simulation apparatuses are accommodated in the same box body, and actual heat dissipation components simulated by the plurality of heat production simulation apparatuses are not components in the same server; and the heat dissipation apparatus is used for performing cooling treatment on the plurality of heat production simulation apparatuses. In the heat dissipation test system, actual heat dissipation components that actually require heat dissipation in servers are simulated by the heat production simulation apparatuses, and since the heat production simulation apparatuses are not actual heat dissipation assemblies in the servers, even if a heat generation simulation apparatus is damaged during a test, damage to a server would not be caused, thereby alleviating the problem in the related art of high test cost being caused by server damage when a real server is used to test a liquid cooling cabinet.

The invention relates to the technical field of energy storage battery performance detection, and discloses a performance detection device and method for an energy storage battery, and the method comprises the steps: calculating a thermal safety coefficient based on the internal temperature of the battery, the temperature gradient, the Joule heat generation rate and the environment temperature; calculating a voltage safety coefficient based on the battery end voltage, the voltage change rate and the voltage range; according to the thermal safety coefficient, the voltage safety coefficient, the battery expansion strain and the internal pressure, calculating the collaboration reflecting the multi-physical field state coordination; calculating an aging coefficient based on the accumulated current stress, the accumulated cycle index and the high stress duration of the battery; and finally, based on the collaboration, the aging coefficient and the rated current, calculating the target charging and discharging current and performing real-time adjustment. The device comprises a memory and a processor and is used for executing the method. According to the invention, multi-dimensional fusion evaluation and self-adaptive management of thermal, electrical and mechanical states and aging processes of the energy storage battery are realized, and the operation safety and service life of the battery are remarkably improved.

The invention provides a waste heat recovery method and system for a phase change heat storage data center, and the method comprises the steps: dynamically adjusting the heat storage capability of a heat storage system of the phase change heat storage data center according to a correlation mapping relation between load fluctuation and heat generation, and analyzing the phase change temperature and latent heat value of a material; determining the heat absorption rate range of the material under different loading conditions; aiming at a heat absorption rate range, combining a nonlinear change rule of a heat storage material to construct a prediction model of a heat release rate, acquiring a dynamic adjustment parameter of heat release from the prediction model as model output, and judging whether the heat release rate meets a heat demand of a user side or not; and according to the optimized heat release rate data, the constant temperature maintaining time of the heat storage material in the solid-liquid conversion process is monitored in real time, and the stability index of the temperature platform is determined.

The invention provides a heat dissipation system and energy storage equipment, and belongs to the technical field of heat dissipation. The heat dissipation system comprises a first air duct structure and a second air duct structure, wherein the first air duct structure comprises first air duct paper with a first air cavity, a first air inlet and a first air outlet; the first air cavity is used for accommodating part of a first heating element; the second air duct structure comprises second air duct paper with a second air cavity, a second air inlet and a second air outlet, and the first air duct paper and the second air duct paper are arranged side by side; the second air cavity is used for containing a second heating piece, and the heating value of the second heating piece is smaller than that of the first heating piece. The air inlet fan is arranged at the first air inlet; the reversing fan is arranged at the downstream of the airflow direction of the first air cavity and the upstream of the airflow direction of the second air cavity; and the air outlet fan is arranged at the second air inlet, and the air outlet fan is used for introducing the air flow into the second air cavity and blowing the air flow out through the second air outlet. According to the invention, the uniformity of heat dissipation can be improved, and the aesthetic property of a corresponding product can be improved.

The rubber composition for a tire tread according to the embodiment contains a rubber component containing a diene rubber and vegetable granules having a surface treated with a sulfonic acid-type surfactant. The rubber composition for a tire tread has excellent on-ice performance, excellent wet performance, and excellent low heat generation property.

The invention relates to the field of circuit control, in particular to a relay low-power-consumption control circuit and method, and the method comprises the steps: enabling a signal module to generate and output an enabling signal, triggering a time-delay control circuit through the enabling signal, enabling a driving voltage module to drive a relay to be closed through a first driving voltage, and enabling a second driving voltage to be closed through a second driving voltage; and after the time delay, the second driving voltage is automatically switched to maintain the pull-in state of the relay. The invention also comprises a corresponding control method which comprises the following steps: receiving an enable signal, generating a delay control signal when the enable signal is valid, and switching and outputting the first driving voltage or the second driving voltage according to the delay control signal. Through a mode of switching the driving voltage in a time-sharing manner, on the premise of ensuring reliable pull-in and holding of the relay, the power consumption of the control circuit is remarkably reduced, heat is reduced, the system reliability is improved, support is provided for miniaturization design of the relay, the structure is simple, and the power consumption optimization effect is remarkable.

An embodiment relates to a light emitting diode (LED) mask for personal combination stimulation, which is to be worn on a face, and more specifically to an LED mask for personal combination stimulation, which can prevent skin damage due to heat generation caused by light emission in an LED, reduce manufacturing and maintenance costs, and effectively make improvement such as whitening facial skin, reducing wrinkles, in particular, wrinkles around eyes. The LED mask for personal combination stimulation includes a mask unit to be put on the face of a user; and a light irradiation unit installed in the mask unit and including a plurality of LEDs arranged on a substrate, wherein the LEDs comprise multiple types of LED chips to emit light of different wavelengths, and the multiple types of LED chips are configured as a combination LED module in a single support structure and arrange on the substrate.

The invention provides an aircraft tire shoulder heat generation optimization method and system based on interlayer pixel-level modeling, and relates to the technical field of aircraft tires, and the method comprises the steps: outputting an interlayer pixel-level model; extracting basic parameters of a tire shoulder area; tire shoulder heat generation simulation is executed, and a tire shoulder area temperature distribution cloud picture is output; positioning the highest temperature extreme value and the coordinate position of the high-temperature accumulation area; taking minimization of the maximum temperature extreme value as a heat generation temperature optimization target, taking a condition that the area of a high-temperature accumulation area is smaller than 15% of the total area of a tire shoulder area as a heat generation range constraint condition, and setting a parameter adjustment vector array of basic parameters of the tire shoulder area; executing particle swarm iterative optimization, and outputting tire shoulder optimization correlation parameters; and outputting the thermodynamic optimization parameters of the tire shoulder. According to the method, the technical problem that the durability and the critical speed of the tire are finally affected due to the fact that a macroscopic model is mostly adopted for calculation in an aviation tire shoulder heat generation optimization method in the prior art, and a detailed physical process between different hierarchical structures is ignored is solved.

The invention discloses a cylindrical battery, a battery pack and electric equipment, the cylindrical battery comprises a battery shell and a battery cell arranged in the battery shell, the battery shell comprises a peripheral shell part and end face shell parts, at least one end face shell part is an electric connection output end, and the end face shell parts are arranged in the peripheral shell part. The thickness of the area where the end face shell part serving as the electric connection output end is electrically connected with the battery cell is a mm, and the area of the end face shell part is s square mm; the battery cell comprises a positive plate with a positive electrode material, the powder conductivity of the positive electrode material is b Siemens per millimeter, and the value range of b / (a * s) is 7.4 e <-14 >-7.5 e <-4 >. The value range of b / (a * s) is controlled within the range of 7.4 e <-14 >-7.5 e <-4 >, it can be guaranteed that the battery has the capacity of charging and discharging in a short time, and it can also be guaranteed that when the heat production amount is increased due to large-current charging and discharging, the safety risk when the battery is used is reduced.

The invention relates to the technical field of laboratory temperature and humidity control. The laboratory temperature and humidity control system comprises a control terminal, a monitoring module, a dynamic prediction analysis module and a partition adjustment module, the monitoring module comprises a temperature sensor arranged on the surface of a wall and equipment, a humidity sensor arranged in a ventilation pipeline, dew point detection units of a fresh air inlet and a return air inlet, a pressure sensor below the ground and a top infrared thermal imaging unit. The dynamic prediction analysis module is used for receiving the equipment calorific value and personnel density information monitored by the monitoring module and outputting a temperature and humidity change trend; the partition adjusting module comprises a temperature control plate array, an air conditioning unit and a humidity adjusting unit, a temperature control plate switches a heat storage / release state through current pulse, and the humidity adjusting unit is used for dehumidification or humidification; the control terminal regulates and controls the partition module according to the prediction result, and intelligent regulation of laboratory temperature and humidity is achieved.

The invention discloses an SRAM (Static Random Access Memory) memory cell, a static random access memory and a preparation method thereof, and belongs to the field of semiconductors. Channel directions of two transmission gate transistors are set as a first direction, channel directions of two pull-up transistors are set as a second direction, and channel directions of two pull-down transistors are set as a third direction; the third direction and the first direction are crystal orientations of the same family, and the two pull-up transistors are arranged in a sinking manner; active regions of the pull-up transistor and other transistors are staggered so as to improve the heat dissipation capability; in order to manufacture the structure, a corresponding preparation method is designed, in the preparation process, the grid electrode of the pull-up transistor is stepped, so that the grid electrode of the pull-up transistor can be connected with the active region of the transmission grid transistor through a metal silicification technology, the contact resistance is greatly reduced, and the performance of the device is improved. Therefore, the performance of the whole device is improved, and the read-write speed is higher than that of the prior art under the same condition.

The invention discloses an active liquid cooling heat dissipation module of electronic equipment and the electronic equipment. The heat dissipation module comprises a first heat exchange structure, a second heat exchange structure and a flexible connection structure. The second heat exchange structure comprises a sealing film and a groove flow channel formed in the inner side face of the electronic equipment shell. The sealing film completely covers the groove flow channel; the flexible connection structure can penetrate through the joint of two shells rotationally connected to the electronic equipment and is bent and deformed. One or more driving elements are arranged on the first heat exchange structure or the second heat exchange structure; and the driving element is used for driving the cooling working medium to circularly flow along the circulating heat dissipation flow path. The groove flow channel of the second heat exchange structure is formed in other shells except the shell where the element with the maximum heating value in the electronic equipment is located, and therefore the module with the low heating value in the folding type electronic equipment is used for dissipating heat outwards, and the heat dissipation efficiency is remarkably improved.

Disclosed in the present invention are a scanning box device and an electron accelerator, the electron accelerator comprising an accelerating tube and a deflection coil; the scanning box device comprising a scanning chamber and a scanning box, wherein the scanning chamber is sealingly connected to the scanning box; the scanning chamber is arranged above the scanning box; the accelerating tube is arranged above the scanning chamber; the deflection coil is arranged on the outer side of the scanning chamber; and the scanning chamber is made of a non-metallic material. The present invention can prevent the generation of eddy currents in the scanning box, thus reducing the problems of energy loss and heat generation, improving the performance and stability of the apparatus.