1233 results about "Cooling capacity" patented technology

The invention discloses an accurate flow control method and system for a two-phase cold plate cooling data center, and relates to the technical field of two-phase cold plate cooling, and the method comprises the following steps: S1, collecting multi-mode operation monitoring data in real time, and carrying out the data preprocessing; s2, constructing a multivariable short-time-sequence prediction model, predicting the cooling demand, and performing optimization regulation and control on a cooling demand prediction result; s3, the target regulation and control flow of the cooling liquid is predicted, and flow and cooling execution measures are taken according to the target regulation and control flow prediction result; the opening degree of the valve is accurately adjusted and evaluated in real time, and accurate flow control is achieved; s4, integrating multi-mode operation monitoring data, a cooling demand prediction result, a target regulation and control flow prediction result and a valve opening accurate regulation evaluation result, and constructing a parameter optimization and safety fault-tolerant mechanism; the problems of chip safety and energy consumption risks caused by cold plate temperature overshoot and cooling capacity regulation lag under high-load fluctuation of the server are solved.

The invention provides a liquid cooling fusion energy consumption adjustment optimization method and system based on dynamic adjustment, and the method comprises the steps: S1, obtaining the thermal load data of calculation equipment, the state data of a liquid cooling system, the state data of an air cooling system, and the constraint data of the system, and constructing a cooling fusion real-time state map; s2, performing calibration operation on the cooling prediction model based on the cooling fusion real-time state atlas, after calibration is completed, extracting cooling key dynamic feature vectors, obtaining short-time cooling prediction data based on the cooling prediction model and the cooling fusion real-time state atlas, and constructing a cooling conflict objective function; s3, obtaining a cooling random sample set, performing initialization operation on a PSO algorithm based on the cooling random sample set, and generating an optimal control parameter combination; and S4, the cooling system is controlled in real time based on the optimal control parameter combination, the step S1 to the step S4 are executed in a circulating mode, and by means of the method, optimal energy consumption control can be found in real time under the condition that the cooling capacity of the cooling system is kept.

The invention discloses an energy-saving control method and system based on a large refrigeration house, and the method comprises the steps: S1, obtaining cargo attribute information in real time through a cargo label, and inputting a dynamic load prediction model to generate a cooling capacity demand prediction signal in a future time period; s2, generating a multi-device cooperative control signal based on the cooling capacity demand prediction signal in the future period; s3, a shelf-level cooling capacity demand distribution signal is generated in combination with the cooling capacity demand prediction signal; s4, generating a directional cold airflow path signal matched with goods shelf distribution according to the goods shelf level cold capacity demand distribution signal; and S5, closed-loop feedback adjustment is conducted on the compressor frequency, the refrigerant flow and the air valve opening through an edge calculation module, and a dynamic balance control instruction of cooling capacity supply and space distribution is generated. The intelligent air quality monitoring method and system based on sensing data feedback can solve the problems of excessive refrigeration energy consumption waste caused by inaccurate cold capacity demand prediction of a large refrigeration house and extra energy loss caused by low cooperative efficiency of multiple devices.

The invention provides an intelligent monitoring system of a liquid cooling cabinet and processing equipment thereof, and relates to the technical field of data processing, and the system comprises a cold source self-control module which is used for dynamically adjusting the operation state of a cooling tower of primary side circulation and the flow of a circulating water pump according to cooling water parameters, and achieving the variable flow control of cooling water; the dynamic environment monitoring module is used for monitoring the secondary side pipeline state and the cabinet environment in real time through the cooling capacity distribution unit and the distributed sensor network; and the comprehensive monitoring sub-module is used for realizing leakage positioning through a built-in liquid leakage sensor, a temperature sensor and a pressure sensor, and automatically supplementing liquid by using a liquid storage tank. Through multi-mode sensor fusion, dynamic threshold value self-adaption and multi-parameter collaborative analysis, accurate leakage positioning and graded alarm are achieved, automatic liquid supplementing closed-loop control and variable flow adjustment are combined, the system reliability is improved, and energy consumption is reduced.

The invention discloses a cold and heat supply unit and process capable of deeply utilizing a heat source in the technical field of absorption refrigeration. The cold and heat supply unit comprises a refrigerating unit, a heating unit, a heat source flash tank and a high-pressure absorber. The refrigerating unit utilizes an external heat source to produce cold energy, the heating unit utilizes the heat source used by the refrigerating unit to produce cold energy so as to cool circulating water of the refrigerating unit, and the heat source flash tank utilizes the heat source discharged by the high-pressure absorber to heat; the absorption refrigerating unit is optimally designed, so that the absorption refrigerating unit can deeply utilize a heat source and supply cold and high-level heat energy at the same time, the problem that the heat source utilization rate of the unit is not high is solved, and the requirement for high-temperature heat energy in the production process is met; and low-grade waste heat is converted into cold energy and high-level heat energy, transition and upgrading of energy quality can be achieved, the unit has the cold and heat combined supply function, and the application scene is greatly expanded.

The invention belongs to the technical field of intelligent building energy management, and particularly discloses and provides a dual-mode cold storage air conditioning system based on human flow dynamic cooperative regulation, which comprises the following steps: acquiring dynamic human flow thermodynamic diagram data in real time, and accurately calculating a multi-region linkage cold load demand value based on a density change correlation coefficient and a heat conduction model; the real-time sensing of the flow density fluctuation and the dynamic refrigeration demand matching are realized; the phase change state of the coolant of the cold storage tank and the power consumption data of the refrigerating unit are collected in real time, the cold storage release proportion, the refrigerating power increment and other key parameters are dynamically adjusted, and the energy utilization rate is increased; the inherent defect of non-uniform cold and heat in zone control is overcome by calculating inter-zone cooling capacity migration parameters; temperature feedback data and a people flow thermodynamic diagram are collected in real time, the proportionality coefficient of the fan rotating speed and the air valve opening degree is dynamically adjusted, a closed-loop learning mechanism is formed, and the matching precision of a temperature control strategy and people flow distribution is continuously optimized.

The invention provides a high-efficiency control method and system for a central air conditioner refrigeration machine room, and relates to the technical field of automatic control, and the method comprises the steps: 1, obtaining chilled water supply and return water temperature difference and flow data, and calculating the dynamic cold load demand of a building in combination with the personnel distribution thermal imaging data of each floor; and 2, on the basis of the dynamic cooling load requirement, a dynamic adjustment model for the number of running water chilling units is built, matching degree calculation is conducted on the actual cooling load value and the single refrigerating capacity of the water chilling units through a fuzzy PID control algorithm, and a final unit running combination scheme is generated. By calculating the cooling load requirement, dynamically adjusting the operation parameters of the water chilling unit, the chilled water pump and the cooling tower and balancing the equipment operation time, the system energy efficiency is effectively improved, the energy consumption and the operation and maintenance cost are reduced, and stable operation of the refrigerating system is guaranteed.

The invention discloses a cryogenic step-by-step preparation unit and process based on injection condensation and enhanced heat absorption in the technical field of absorption refrigeration. The cryogenic step-by-step preparation unit comprises a generation assembly, an evaporation absorption assembly, an injection assembly and a condenser. The evaporation and absorption assembly comprises a medium-pressure evaporator, a low-pressure evaporator, a medium-pressure absorber and a low-pressure absorber; the generating assembly utilizes a heat source to produce a cold source, the medium-pressure evaporator utilizes part of the cold source produced by the generating assembly to primarily cool a secondary refrigerant, and the low-pressure evaporator utilizes the remaining cold source discharged by the medium-pressure evaporator to cool the secondary refrigerant again. The condenser produces cold energy which is used as cold sources of the medium-pressure absorber and the low-pressure absorber respectively; the absorption type refrigerating unit is optimally designed, single-stage refrigeration is replaced by stage-by-stage refrigeration, the problem that the cost of single-stage refrigeration is too high due to the fact that equipment is too large is solved, and then application of the unit in the deep cooling scene is expanded.

The invention discloses a liquid cooling adaptive control method and system based on a single-phase immersion liquid cooling data center, and relates to the technical field of liquid cooling control, and the method comprises the steps: reading real-time power consumption data of the data center, and synchronously starting a temperature monitoring sensor to read chip temperature data and environment temperature data; configuring a short-time predictor by using the historical load sequence, and executing information gain ratio and prediction uncertainty analysis of preset candidate granularity; performing matching evaluation of single-phase immersion liquid cooling and the data center by using the calibrated prediction granularity; and if the triggering threshold value is met, self-adaptive optimization under local-global control coordination constraint of single-phase immersion liquid cooling control is executed, and a liquid cooling response scheme is output. The technical problems that in the prior art, the cooling capacity of single-phase immersion liquid cooling is low in matching degree with the load requirement, response lags behind, and energy consumption control is insufficient are solved, and the technical effects of self-adaptive optimization control based on real-time and prediction data, energy consumption reduction and heat dissipation efficiency and temperature control precision improvement are achieved.

The invention discloses a public building cold load short-time prediction method fusing physical information, and the method comprises the steps: collecting and preprocessing the historical cooling capacity, indoor environment, outdoor weather and equipment operation state data of a public building at a fixed time interval, and obtaining multi-dimensional input features; respectively establishing a workday sub-model and a holiday sub-model according to workday and holiday scene division; the workday sub-model and the holiday sub-model jointly form a cold load prediction model, the workday sub-model adopts a long short-term memory (LSTM) network, and the holiday sub-model adopts a light gradient elevator (Light GBM); a physical constraint loss function based on building energy balance and heat conduction residual error is introduced in the training process, and the physical constraint loss is fused into a total loss function according to a weighting coefficient so as to constrain that the output of each sub-model accords with the law of energy conservation and thermal inertia; monitoring the prediction error MAPE in real time and performing online calibration; and outputting a short-time cold load prediction result.

The invention provides a data center energy saving method and device based on artificial intelligence, and a server, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining equipment operation data, and machine room space layout information and environment parameters of a modular machine room; performing model updating processing on the initial self-adaptive real-time energy consumption prediction model through historical equipment operation data to obtain a target self-adaptive real-time energy consumption prediction model, and performing energy consumption prediction processing on the equipment operation data by using the target self-adaptive real-time energy consumption prediction model to determine an energy consumption prediction value; carrying out refrigerating capacity calculation processing on the machine room space layout information, the environmental parameters and the energy consumption predicted value through a basic heat load calculation model and an air enthalpy difference method cooling capacity calculation model, and determining a target refrigerating capacity; and according to the target refrigerating capacity, operation parameters of all refrigeration equipment of the data center are adjusted, so that all the refrigeration equipment operates with the lowest energy consumption meeting the refrigeration requirement of the data center. The energy utilization rate of the data center can be remarkably improved.

The invention relates to an energy efficiency optimization method for a dynamic load of a central air conditioner, which comprises the following steps of: establishing a response relationship among a cold and heat source, a transmission and distribution system and end equipment, identifying a nonlinear decoupling characteristic of a cold and heat response behavior by monitoring operation deflection of each level of equipment under a low-load working condition, and defining and updating a cooling capacity response deviation threshold in real time; on the basis of the cooling capacity response deviation threshold, delay compression control is conducted on response actions of the refrigerant side and the air medium side, and by adjusting the air side response time sequence in advance, dynamic thermodynamic equilibrium is formed between refrigerant transfer delay and air medium response in advance; by establishing the response relationship among the cold and heat source, the transmission and distribution system and the end equipment and introducing a cold capacity response deviation threshold dynamic updating mechanism, nonlinear coupling mismatch in a cold and heat transmission chain can be accurately identified, so that the system is more flexible to operate under low-load and variable-load conditions, frequent start and stop or redundant operation of the cold and heat source is avoided, and the system reliability is improved. And therefore, the overall COP value of the system is remarkably increased, and unit cooling capacity consumption is reduced.

The invention discloses a linkage control system and method for cold energy storage and release in an energy storage low-temperature interval, belongs to the technical field of energy storage system temperature control, and aims to solve the problems that traditional energy storage cold energy regulation is lagged, cold energy waste is serious, and dynamic changes of working conditions are difficult to adapt. According to the system and method, cold release judgment is triggered based on the environment temperature and the temperature of an energy storage module, a cold release interval is defined by predicting the environment temperature and the temperature of the energy storage module in a fitting mode, a temperature prediction curve is dynamically corrected in combination with real-time working conditions, cold release subintervals are divided, and a cold release control instruction is generated; and meanwhile, the temperature of the energy storage module is monitored in real time to correct the cooling capacity release control instruction, and a cooling capacity recovery instruction is generated by monitoring the temperature of the cooling liquid. Accurate steady-state control over the temperature of the energy storage module and efficient circulation of the cooling capacity are achieved, and the operation economical efficiency and safety of the energy storage system are remarkably improved.

The invention provides a cooperative distribution method, system and device for vehicle-mounted double-loop liquid cooling refrigerating capacity and a medium, and relates to the technical field of electric vehicle liquid cooling. Determining the confidence value of the refrigerating capacity in the battery cell cooling loop according to the thermal power net increment in the electric vehicle and the temperature distribution gradient in the battery cell; when the temperature of the power device in the power conversion module is larger than a preset safety threshold value, balance adjustment is conducted on the real-time refrigerating capacity of the power conversion module, and the balance characteristic of the refrigerating capacity in a cooling loop of the power conversion module is obtained; and the liquid cooling refrigerating capacity in the double cooling loops is cooperatively redistributed according to the balance characteristic of the refrigerating capacity in the cooling loops of the power conversion module and the confidence value of the refrigerating capacity in the battery cell cooling loops. Based on the scheme, balanced distribution of the refrigerating capacity between the battery cell cooling loop and the power conversion module cooling loop in the electric automobile can be achieved.

The utility model relates to the technical field of air conditioning, in particular to an air supply structure, an air supply system and a koji room. The air supply structure comprises an air supply branch pipe, a first air valve assembly and a second air valve assembly. One end of the air supply branch pipe is an air inlet end, and an air supply section with a plurality of air supply holes in the pipe wall is formed on the air supply branch pipe; the first air valve assembly comprises a first driving mechanism and a first air valve arranged in the air supply section, and the first driving mechanism is configured to drive the first air valve to move in the air supply section so as to be close to or away from the air inlet end; the second air valve assembly comprises a second air valve arranged in the air supply section, and the second air valve is located between the first air valve and the air inlet end. According to the method, targeted air supply can be conducted on the local heating area in the space, unnecessary whole-area air supply is reduced, cooling capacity is concentrated in the hot spot area, the method can adapt to constantly-changing hot spot positions, and the air supply area and the air supply amount can be adjusted.

The invention provides a refrigeration house multi-fan intelligent cooperative defrosting control system and method. The refrigeration house multi-fan intelligent cooperative defrosting control system comprises an air-cooled condenser, a throttling valve, a compressor, a refrigerating chamber, a bypass valve, an air speed sensor, a temperature and humidity sensor, a temperature sensor, a pressure sensor, a flow meter, an air cooler tail end evaporator, data acquisition equipment, a central processing unit and a control output port. According to the cold storage scene that hot gas bypass defrosting is adopted, and one refrigerating unit is provided with a plurality of air coolers, the ratio (COP) of the accumulated refrigerating capacity to the total energy consumption in the operation period of each air cooler is calculated. And a comprehensive performance coefficient dynamic model of the air cooler is constructed by combining the temperature difference between the air supply and the air return, so that optimal energy efficiency of the air cooler and multi-fan defrosting control are realized. Compared with the prior art, the defrosting control logic is reconstructed from the perspective of the performance coefficient of the air cooler, the frosting condition of the surface of the evaporator at the tail end of the multiple fans of the refrigeration house can be accurately judged, it is ensured that the unit maintains high efficiency in the operation process, and development of the efficient and energy-saving control technology of a refrigeration house refrigerating system is facilitated.

The invention relates to the technical field of air compressor optimization, and discloses an intelligent air compressor optimization control method and system based on an IOE control system.The intelligent air compressor optimization control system comprises a collection unit, a preprocessing unit, an analysis unit and an optimization unit, rich operation data such as air inlet pressure, flow, exhaust pressure and temperature are comprehensively collected in real time, denoising is conducted through a moving average method, and data accuracy is ensured; normal, overload and abnormal fluctuation modes are clearly divided, accurate judgment is performed by means of a preset interval and reasonable calculation, and powerful support is provided for control decision making; in a normal mode, intelligent regulation is performed according to a parameter average value, and operation efficiency and stability are improved; the valve opening degree is adjusted according to the deviation degree in the overload mode, the load is effectively reduced, and equipment is protected; in the abnormal fluctuation mode, a PID control algorithm is used, the opening degree, the cooling amount and the like of the valve are flexibly adjusted according to deviation and the change rate, and parameters are rapidly recovered to be stable. The fault rate and the maintenance cost can be greatly reduced, and the working efficiency is remarkably improved.

The invention discloses a phase change latent heat slow-release single-phase immersion liquid cooling intelligent temperature control adjusting method and system, and relates to the technical field of electronic equipment heat management. The phase change latent heat slow-release single-phase immersion liquid cooling intelligent temperature control adjusting method comprises the following steps: S1, collecting phase change liquid cooling temperature control data, and preprocessing the phase change liquid cooling temperature control data; s2, evaluating the running state of the server, assigning a thermal response level identifier based on an evaluation result, and constructing a thermal response state data set; s3, evaluating the cooling slow release capability in a temperature control early warning state and a thermal shock state, and generating and executing a self-adaptive cooling adjustment strategy in a grading manner; and S4, after the cooling regulation strategy is executed, the response efficiency of the cooling strategy is evaluated, a cooling strategy optimization instruction is generated, and strategy closed-loop regulation is realized on the basis of monitoring the change trend of an evaluation result in a continuous regulation period. The problem that the chip temperature of an existing liquid cooling system fluctuates abnormally due to cooling capacity response lag in an instantaneous high-load scene is solved.

The utility model discloses a multi-system water chilling unit which comprises at least two heat exchange systems, at least two waterway systems and a combined heat exchanger, and the heat exchange systems can be combined to form or respectively form an independent heat exchange circulation loop by switching the serial or parallel connection state and the opening or closing state of the combined heat exchanger; the water path system can be combined to form or respectively form an independent water circulation loop, so that the heating or refrigerating capacity of the unit is obviously increased; different heat exchange circulation loops are switched and controlled by adjusting refrigerant flowing paths between the multiple heat exchange systems and the combined heat exchanger, and different water circulation loops are switched and controlled by adjusting water medium flowing paths of the multiple water path systems. Therefore, after the water chilling unit is installed, different operation modes can be selected and switched according to different heat or cooling capacity requirements, hot water or cold water with the corresponding capacity and temperature is produced, the heating or cooling capacity of the unit is matched with the actual requirement, the whole equipment or part of elements do not need to be replaced, cost is low, and maintenance is convenient.

The invention discloses an axle staged cooling system, an axle staged cooling assembly and an engineering vehicle. The axle staged cooling system comprises an engine first-stage cooling system, an engine second-stage cooling system, an axle first-stage cooling system and an axle second-stage cooling system. Each stage of cooling system controls cooling water and oil path trend through a thermolator in each loop, controls axle cooling oil and engine cooling water to exchange heat, and meets different cooling requirements of an axle. The temperature sensor in each loop outputs water and oil temperature signals to a motor of the cooling fan, so that the rotating speed of the fan is increased to different degrees along with the temperature rise of each cooling system, and different cooling powers are matched. According to the grading system, the engine and the axles can work at the proper temperature at the same time, the two heat exchangers cool cooling oil of the front axle, cooling oil of the middle axle and cooling oil of the rear axle respectively, the cooling capacity of the front axle is improved, the braking effectiveness of the front axle is guaranteed, and rollover caused by serious backward movement of the gravity center of a vehicle during emergency braking is prevented.

The invention provides an integrated heat pump air conditioning and heat management system with a five way valve and a control method thereof, including a refrigerant circulation system, a coolant circulation system, a first heat management system and a second heat management system; The refrigerant circulation system is connected with the coolant circulation system to transfer the heating and cooling capacity of the refrigerant to the coolant circulation system; The first thermal management system is connected with the coolant circulation system to cool or heat the battery pack; The second thermal management system is connected with the coolant circulation system to cool the motor; The second thermal management system also emits waste heat from the coolant circulation system and the first thermal management system into the air. The system and its control method of the invention combine a variety of heat management functions, and the control method is scientific.

The invention relates to the technical field of permeable material testing, solves the problem that a more complete material selection basis cannot be provided for engineering design in the prior art, and provides a method, a device and equipment for testing the heat dissipation performance of an evaporative cooling material and a storage medium. Acquiring a first mass change value of the to-be-tested sample in the simulated rainfall process; when the instantaneous moisture content meets a preset condition, rainfall simulation is stopped, and a second mass change value of the to-be-tested sample in a preset duration is obtained; placing the to-be-tested sample in the wind tunnel test platform, and obtaining a third mass change value and a surface temperature change value of the to-be-tested sample and an environment temperature change value, a humidity change value and a wind speed change value of the wind tunnel test platform; and obtaining a heat dissipation performance evaluation result of the to-be-tested sample based on the parameters. According to the method, quantitative, comparable and repeatable evaluation of the cooling capacity of the permeable material is realized, and a scientific basis is provided for material performance judgment and application scene selection.

The invention provides a water-air composite cooling device and a cooling method for a lithium battery pack, relates to the technical field of lithium battery thermal management, and solves the technical problems of low air cooling thermal conductivity, insufficient cooling capacity, high water cooling cost, complex structure and difficulty in adapting to different working conditions caused by limitation of a single cooling mode of an existing lithium battery. According to the technical scheme, an air cooling unit achieves basic heat dissipation through an air duct and a draught fan; the water cooling unit achieves efficient heat dissipation through a water channel, a water pump and a temperature control assembly, and the temperature of cooling liquid can be adjusted. The temperature monitoring control unit adopts a PT100 thermal resistor to collect temperature signals, and regulates and controls operation parameters of the air cooling unit and the water cooling unit through an intelligent switch; the intelligent optimization unit constructs a flow field and temperature field model based on computational fluid mechanics, optimizes structural parameters and the flow velocity of a cooling medium in combination with a neural network algorithm, and realizes self-adaptive adjustment of a cooling strategy; the heat dissipation efficiency and stability are improved, and the service life of the battery is prolonged.

The embodiment of the invention provides a liquid cooling energy storage system and a control method. The liquid cooling energy storage system comprises an energy storage module, a liquid supply pipeline, a liquid return pipeline and at least two groups of liquid cooling machines, each group of liquid cooling machines comprises at least one liquid cooling machine, liquid outlets of different groups of liquid cooling machines are communicated with the liquid supply pipeline in parallel, liquid return ports of different groups of liquid cooling machines are communicated with the liquid return pipeline in parallel, the liquid supply pipeline is communicated with a liquid inlet of the energy storage module, the liquid return pipeline is communicated with a liquid return port of the energy storage module, and the liquid cooling machines are used for providing cooling liquid. When the heating value of the energy storage module is small, only part of the liquid cooling units need to be started, and compared with a liquid cooling unit with large power in the prior art, the liquid cooling unit is low in energy consumption, high in efficiency and low in noise during operation. And when any one liquid cooling machine breaks down, other liquid cooling machines can still provide the required cooling capacity, the heat dissipation requirement of the energy storage module is met, and the maintenance flexibility is improved.

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 discloses an engine configuration using liquid hydrogen as a coolant and fuel and an overall design method, and relates to the field of aero-engines, and the engine configuration comprises an air inlet channel, a fan, a precooler, an air compressor, a main combustion chamber, a high-pressure turbine, a low-pressure turbine, a mixing chamber, an afterburner and an exhaust nozzle. Only the inner culvert airflow is cooled, on the basis of solving the difficulty of rotation limitation under the high Mach number working condition of the core engine, the problem of cooling capacity waste generated by precooling the outer culvert airflow is avoided, and the liquid hydrogen amount depends on the combustion amount needed by the main combustion chamber and the afterburner; therefore, the waste problem caused by the fact that the amount of liquid hydrogen needed by pre-cooling is larger than the amount of liquid hydrogen needed by combustion is avoided. According to the overall design of the engine, from the angle of flight / intake / launch integration, the size and performance parameters of an engine body are determined in a ground state based on the take-off task requirement of an aircraft, the size of an intake and exhaust system is determined in a cruise state based on the cruise task requirement of the aircraft, and a control rule is determined by the engine demand flow and the intake passage capture flow.

The invention discloses a pearl wool foaming stirrer, and relates to the technical field of foaming stirring equipment. A plurality of cooling cavities are formed between an outer cylinder and an inner cylinder of a stirring arm assembly, so that during stirring, a wedge block of a driving assembly pushes a second spherical block of a stirring arm to drive a piston assembly to do reciprocating motion, and circulating flow of cooling liquid among the cooling cavities, the inner cylinder and a heat dissipation unit is achieved; therefore, heat generated by friction between the outer wall of the stirring arm and the pearl wool foaming material is taken away in time, the problems of foaming agent decomposition and polyethylene particle structure breakage caused by local overheating are solved fundamentally, and the original performance of the material is guaranteed. Each cooling cavity is internally provided with an independent plugging plate, the plugging or opening state of the plugging plates to the cooling cavities can be controlled by rotating the screws, namely the more the plugged cooling cavities are, the less the cooling liquid participating in circulation is, the weaker the cooling capacity is, otherwise, the stronger the cooling capacity is, and the cooling strength can be flexibly adjusted according to the stirring working condition through the design.

The invention discloses a method for preserving heat of a urea NaOH and Mg (OH) 2 storage cabin, and aims at a ship which is provided with an SCR (Selective Catalytic Reduction) system, an EGR (Exhaust Gas Recirculation) system, an iCER (Initial Continuous Emission Reduction) system and a desulfurization system and needs to store urea, NaOH or Mg (OH) 2. Condensed water of the air conditioning unit is collected and then introduced into the storage cabin in a gravity mode, and the condensed water generation amount and the condensed water temperature of the air conditioning unit are analyzed and calculated. On the premise that the cabin capacity meets the condition, condensate water is used for cooling the urea cabin and then discharged into the clean cabin bottom water cabin, and the cooling capacity of the condensate water is utilized to the maximum extent. In winter or in a cold area, when the air conditioning unit does not need to operate, in order to avoid too low temperature of the solution cabin, the storage cabin can be heated by using the discharged water in the clean cabin bottom water cabin before discharging, so that the storage temperature of the urea, NaOH or Mg (OH) 2 solution is ensured to be 10-35 DEG C.

The invention discloses a supercritical carbon dioxide phase change cooling data center thermal management system and a control method. According to the invention, the thermophysical property change characteristic of supercritical carbon dioxide near a critical point is utilized, the size is small, and high heat dissipation efficiency is realized; multi-stage energy recovery is adopted, and gradient utilization of energy is achieved through the synergistic effect of the heat exchanger and the heat regenerator; the phase change evaporation module solves the problem of high-power-density heat dissipation; the flow control module monitors the load and temperature changes of the server in real time, the response is fast, it is ensured that the server works in the optimal efficiency interval, the temperature fluctuation is small through a self-adaptive control strategy, and meanwhile energy waste and server cabinet damage can be avoided; stable cooling capacity can be kept under high-power density and high-temperature working conditions, so that the heat dissipation problem of the high-density data center is solved; the method is suitable for high-heat-flux scenes such as an AI computing center, a supercomputing center and a 5G base station; and the compact design is also suitable for cooling requirements of ship-borne and vehicle-mounted mobile computing platforms and the like, and has wide market application.

The invention discloses a two-phase cold plate liquid cooling dryness real-time measurement method and system based on data fusion, and relates to the technical field of liquid cooling data processing, and the method comprises the following steps: S1, collecting multi-mode liquid cooling working condition data in real time, carrying out the data preprocessing, carrying out the fusion of original dryness according to three types of dryness signals, and evaluating the health degree of signal fusion; s2, dynamically distributing adaptive signal weights for each type of dryness signals to obtain high-precision fusion dryness, and performing anomaly diagnosis; s3, the high-precision fusion dryness is optimized, flow adjustment is carried out, meanwhile, dead zone compensation of flow adjustment is carried out, and flow compensation correction is carried out; and S4, monitoring a flow regulation process and abnormal information in real time, and performing high-precision visual feedback and operation and maintenance optimization of the fusion dryness. The problems that an existing two-phase cold plate liquid cooling system generally adopts a single dryness detection mode and is prone to being interfered by the environment and lagging in response, so that the dryness measurement precision is insufficient, and the reliability and the heat dissipation efficiency of cooling capacity adjustment are affected are solved.