17429 results about "Refrigeration" patented technology

A hand-held refrigeration fan is provided, including a fan head and a hand-held portion. The fan head includes a fan housing, an air duct is formed in the fan housing, and the fan housing is provided with a connecting through hole penetrating through inner and outer sides of the air duct. A conductive member is arranged on an outer surface of the hand-held portion, a refrigeration apparatus is arranged in the hand-held portion, a refrigeration end of the refrigeration apparatus is connected to the conductive member in a heat conduction manner, and a heat dissipation end of the refrigeration apparatus communicates with the air duct after penetrating through the connecting through hole. A conductive sheet is arranged on an outer surface of a hand-held portion, and a refrigeration effect is achieved by the conductive sheet through the operation of a refrigeration apparatus.

The invention discloses an intelligent air conditioner water chilling unit control method and system based on predictive optimization. Operation data and weather forecast data are collected to establish a dynamic response reference, building cold load sudden change opportunity is recognized, the mismatching relation between magnetic suspension frequency and wet bulb temperature is detected, and energy-saving opportunity recognition data is generated to determine a cooling starting judgment table; identifying equipment response delay characteristics by using a dynamic response reference, extracting time sequence advantage parameters to determine dislocation configuration among multiple pieces of equipment, and generating coordination control parameters; cloud-local transmission delay analysis is carried out according to the coordination control parameters, and a coordination control sequence is generated through buffer opportunity identification and delay compensation; mechanical refrigeration suppression data is generated through energy efficiency mode classification, free cooling potential mining is implemented to form a cold source optimization factor, and an emergency response strategy is generated; an emergency response strategy is used to identify a multi-device linkage trigger critical zone, a prediction correction feedback network is constructed, a global collaborative optimization instruction is generated, and the system operation efficiency and the control precision are improved.

The shutdown of a compressor (10) installed in a refrigerant circuit (2) in air conditioning or refrigeration system is controlled so as to prevent unpowered reverse rotation of the compressor. Prior to terminating electric power to the compressor drive motor (24), the pressure within the system is relieved and substantially equalized across the compressor, thereby eliminating the possibility of unpowered reverse rotation of the compressor at shutdown. Pressure relief and equalization may be achieved by reducing the operating speed of the compressor to a low forward speed for a period of time prior to deenergizing the compressor drive motor. Pressure equalization may also be achieved by driving the compressor in reverse rotation prior to deenergizing the drive motor.

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 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 relates to the field of temperature monitoring, and discloses a high-voltage passive induction temperature monitoring system, which comprises a plurality of temperature sensors, the plurality of temperature sensors are arranged in different cabinets and channels in a machine room; a control unit; the control unit is used for sending a detection instruction to each temperature sensor and receiving a feedback temperature signal; the control unit generates a temperature change curve of each monitoring point according to the received temperature signals; the control unit constructs a three-dimensional temperature distribution model of the whole machine room based on the temperature change curve of each monitoring point, identifies a potential hot spot area based on the three-dimensional temperature distribution model and predicts the temperature change trend of the potential hot spot area; a refrigeration unit; the refrigeration unit is used for adjusting the temperature of the located area; the refrigeration unit is communicated with the control unit; wherein the control unit adjusts the power of each refrigeration unit based on the identified potential hot spot areas.

The invention relates to a food fresh-keeping method, device and equipment and a storage medium, and the method comprises the steps: collecting respiration intensity data and decay gas concentration of target food in a cold chain carriage, carrying out fresh-keeping threshold matching, and generating food fresh-keeping information; real-time environment parameters of the cold chain compartment are collected, a fresh-keeping instruction is generated according to the food fresh-keeping information and the real-time environment parameters, and an air adjusting valve opening instruction and a compressor frequency instruction are obtained; dynamic regulation and control operation is executed based on the air regulating valve opening instruction and the compressor frequency instruction, and putrefying bacterium comprehensive evaluation indexes and compressor power consumption data are obtained in real time; and according to the putrefying bacterium comprehensive evaluation index and the compressor power consumption data, instruction feedback analysis is carried out, strategy construction is carried out, and a fresh-keeping regulation and control strategy is output. The air conditioning and refrigeration strategy can be dynamically adjusted according to the breathing characteristics of different foods and the growth dynamic state of putrefying bacteria.

The invention discloses a waste heat recovery scheduling method and system for a two-phase cold plate of a data center, and relates to the technical field of refrigeration and heat management. The waste heat recovery scheduling method and system for the two-phase cold plate of the data center comprises the following steps that S1, key thermal parameters and tail end state variables are collected through multiple types of thermal monitoring devices, and thermal state monitoring data are obtained and preprocessed; s2, on the basis of the thermal state monitoring data and in combination with an SLA configuration file, performing priority division on the heat utilization terminals, and constructing a scheduling deviation judgment mechanism to identify thermal state changes; s3, under driving of the regulation and control instruction, accessing multi-source waste heat and distributing the multi-source waste heat to each terminal scene, and evaluating a matching condition of the waste heat and a terminal demand; and S4, based on the change of the heat distribution state and the thermal state monitoring data, identifying an overload risk in combination with a multi-parameter linkage mechanism. The problems that waste heat recovery is insufficient and the energy utilization rate is limited under the light-load and multi-heat-source cooperative working condition are solved.

The invention provides a distributed intelligent cooperative energy-saving control method and device for an industrial air conditioner, electronic equipment and a computer readable storage medium, and is applied to the field of data processing application. The method comprises the following steps: acquiring industrial air conditioner operation related data including environment parameters and equipment state data; an intelligent cooperative control mechanism is constructed based on multi-device cooperation and hierarchical adjustment requirements, and the intelligent cooperative control mechanism comprises a multi-device linkage strategy for dynamically distributing refrigeration resources according to regional cooling and heating loads and a hierarchical adjustment algorithm of a chilled water system and a cooling system, and a control framework for achieving global optimization is formed; processing the environment parameters and the equipment state data to generate a dynamic control strategy; generating target energy-saving control information based on the data analysis result and the dynamic control strategy; and all operation data and control effects generated based on the target energy-saving control information are integrated, a high-energy-consumption link optimization scheme is generated, energy consumption data credible tracing is achieved, and the distributed air conditioning system is aggregated to participate in power grid frequency modulation.

The invention relates to an automatic identification control method and system based on heat dissipation of a liquid cooling plate in a heat exchange system. The method comprises the following steps: acquiring real-time operation data of a target liquid cooling plate; establishing a dynamic thermal resistance network model, and calculating a current thermal resistance value; refrigeration demand parameters are obtained, and a demand weighted thermal resistance value is generated in combination with the current thermal resistance value; thermal resistance deviation is obtained based on the demand weighted thermal resistance value, and the opening degree of a cooling liquid flow valve in the heat exchange system is dynamically adjusted through a fuzzy PID controller; the PID parameters are updated through a preset optimization algorithm, and the fuzzy PID controller is optimized; according to the automatic identification control method and system based on heat dissipation of the liquid cooling plate in the heat exchange system, real-time dynamic adjustment of the flow of the cooling liquid is achieved by establishing the dynamic thermal resistance network model and combining fuzzy PID control, the problems that a traditional method lags in response and is insufficient in control precision are solved, and the control efficiency is improved. The method has the effects of improving the dynamic response speed, improving the control precision and optimizing the energy efficiency.

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 relates to the technical field of automobile cup holder temperature control methods, and discloses an automobile cup holder temperature regulation control method based on a microcontroller. According to the method, real-time temperature data and environment parameters of a target container are collected, and an initial temperature parameter set containing a container surface temperature distribution curve and an environment heat exchange coefficient sequence is generated; then, establishing a first adjusting model containing a mapping relation between surface temperature change and refrigeration power according to the container surface temperature distribution curve, and establishing a second adjusting model containing environment heat interference and a heating power compensation rule according to the environment heat exchange coefficient sequence; during cup stand temperature control, based on real-time temperature difference fluctuation and container material heat conduction characteristic data, a target model is activated to generate a dynamic power instruction, finally, the instruction is input into a semiconductor temperature control unit of the cup stand, and the current gradient of a refrigeration sheet or the voltage distribution of a heating film is adjusted. The temperature of the automobile cup holder can be accurately and intelligently adjusted, and the user experience and the comfort level of an automobile cabin are improved.

The invention discloses a battery prefabricated cabin intelligent refrigeration control method and system based on data driving, and relates to the technical field of battery energy storage system thermal management, and the method comprises the steps: collecting the operation multi-source data of a battery prefabricated cabin, and constructing the current thermal environment state expression; constructing a battery cabin short-term internal heat change trend prediction model based on the operation multi-source data of the battery prefabricated cabin; and according to the current thermal environment state expression and the thermal trend prediction result of the battery compartment short-term internal thermal change trend prediction model, an optimal control strategy for an air cooling, liquid cooling or composite refrigeration mode is formulated. According to the method, a closed-loop thermal management system driven by data is formed by constructing a thermal state expression module, a thermal trend prediction module and an intelligent refrigeration decision module, accurate recognition and active regulation and control of the thermal risk of the battery prefabrication cabin are achieved, the temperature control precision and the response efficiency are improved, energy consumption and over-control risks are effectively reduced, and the method is suitable for popularization and application. And the system has the advantages of remarkable engineering practical value and system intellectualization.

The invention relates to the technical field of electric power intelligent judgment, in particular to an AI-based intelligent electric energy meter fault diagnosis system, which comprises an operation data acquisition module, a jump correlation judgment module, an operation deviation judgment module, a current waveform diagnosis module and an abnormity alarm module. According to the invention, through synchronous acquisition of the current data and the operation data of the refrigeration storage, whether the current jump is related to the gating action is judged, and the refrigeration performance abnormity of the refrigeration storage and the fault type of the intelligent electric meter are effectively identified by further combining multiple cross validation of baseline energy consumption and temperature change; an ideal current waveform is constructed through an AI algorithm and is compared with an actually measured waveform, so that intelligent judgment and classification of fault types are realized; meanwhile, the diagnosis result is linked with the operation and maintenance system, the response efficiency is improved, and the method is particularly suitable for scenes with high requirements on the stability of the electric meter, such as cold chain storage, and has good practical value and popularization prospect.

The invention discloses a fuel cell coupled flow battery energy supply system and an operation control method thereof. The energy supply system comprises a basic energy supply unit, an energy storage peak regulation unit, a renewable energy power generation unit, an electrolytic hydrogen production unit, a hydrogen storage unit, a first-stage waste heat recycling unit, a second-stage waste heat recycling unit and a heat storage unit. The basic energy supply unit is used for providing a basic power load of the target building group; the energy storage peak regulation unit is used for providing fluctuation power load of the target building group; the first-stage waste heat recycling unit receives first-stage waste heat generated by power generation of the fuel cell and is used for indoor heating or indoor refrigeration. And the second-stage waste heat recycling unit directly receives the first-stage waste heat or second-stage waste heat from the first-stage waste heat recycling unit and is used for preheating the electrolyzed water and / or the hydrogen storage unit. By arranging the first-stage waste heat recycling unit and the second-stage waste heat recycling unit, waste heat is utilized in a multi-stage mode according to requirements, and the waste heat utilization rate is high.

The invention provides a water flow dynamic distribution control method driven by air conditioner terminal load prediction, and relates to the technical field of air conditioner engineering.The method comprises the steps that 1, the people flow density, the environment temperature and humidity and the equipment running state of each air conditioner terminal service area are collected in real time, and a load prediction mechanism is constructed based on a spatial-temporal feature fusion algorithm; the minimum cooling capacity demand of each tail end in the future time period is predicted; 2, based on the minimum cooling capacity requirement, areas with similar load characteristics are classified into the same cluster through hot area clustering, and building scale dynamic cooling load distribution is generated with cluster mass center data as the benchmark; and step 3, calculating an energy flexibility penalty coefficient based on the dynamic cooling load distribution in combination with the real-time deviation between the indoor temperature and the comfortable temperature difference, and generating a regional water flow regulation weight. According to the method, dynamic distribution of the water flow is driven through load prediction, the water pump frequency and the refrigerating unit strategy are dynamically adjusted in combination with real-time energy consumption feedback, and self-adaptive adjustment of the branch water flow is achieved.

The invention relates to the technical field of non-electrical variable control, and discloses an industrial water chiller temperature intelligent adjusting system, which comprises a refrigeration circulation loop and a control unit, the control unit calculates a steady state control component based on the water outlet temperature deviation, performs differential processing on the refrigerant pressure to extract the gradient, and outputs the gradient. Generating a transient compensation component when the gradient exceeds a dynamic noise threshold; according to the method, the problem of thermal lag is solved by utilizing the pressure wave transmission speed advantage, aggressive response is prevented from triggering low-pressure shutdown through a safety margin constraint mechanism, the pressure safety margin is calculated in real time, a gain coefficient is determined according to a nonlinear model, and a final driving instruction is generated. And the dynamic balance of the control response speed and the system physical security boundary is realized.

The invention relates to the technical field of forklift control, and discloses a refrigeration house unmanned forklift anti-skid control method and system based on multi-sensor fusion, and the method comprises the steps: synchronously collecting wheel angular velocity, vehicle body inertia data, motor current, vibration and acoustic signals through a multi-mode sensor, and carrying out the time alignment and feature extraction; inputting a time-space diagram neural network to estimate the friction coefficient and the optimal slip rate of each wheel in real time; and in combination with model predictive control, four-wheel independent torque distribution is optimized in a rolling manner under the condition that physical constraints are met, so that high-precision tracking and dynamic stability are realized. The system comprises a data acquisition module, a data processing module, a friction estimation module, a torque distribution module and an execution module. The attachment change can be sensed in advance, and the safety, efficiency and operation precision of the unmanned forklift in the wet and slippery refrigeration house environment are improved.

The embodiment of the invention provides a compressor performance evaluation method and device, electronic equipment and a storage medium, and belongs to the technical field of refrigeration. The method comprises the following steps: constructing a thermodynamic cycle flow of the compressor under each preset condition according to a compression process of the compressor under a plurality of preset conditions; for each preset condition, based on the thermodynamic cycle flow of the compressor under the preset condition, a mathematical model of the compressor under the preset condition is constructed, and the mathematical model comprises a plurality of target performance parameters used for evaluating the performance of the compressor; fitting the mathematical model of the compressor under the preset condition with the thermophysical parameters of the refrigerant of the compressor to obtain the value of each target performance parameter of the compressor under the preset condition; and performing performance comparison evaluation on the values of the multiple target performance parameters of the compressor under each preset condition to obtain an evaluation result. According to the embodiment of the invention, the compressor performance can be quantitatively evaluated.

The invention discloses an assembly type refrigerating machine room energy-saving monitoring system based on data analysis, and relates to the technical field of energy-saving control, and the system comprises an interval module which is used for dividing the space of a machine room into a plurality of monitoring intervals, and is bound with a structural unit; the excitation module is used for applying power disturbance to the structural unit to obtain structural excitation data; the identification module is used for generating a heat influence coefficient matrix according to the excitation data and the temperature change of the adjacent monitoring interval; and the calculation module is used for calculating a blind area temperature and outputting an estimated temperature and a covariance based on the heat influence coefficient matrix, the structure energy consumption data and the adjacent interval temperature. According to the invention, the space of the machine room is subjected to three-dimensional grid division through the interval module, and each monitoring interval is bound with the function nodes in the structure of the machine room, so that the temperature monitoring grid with the corresponding relation between the space and the structure is formed, the space expression precision of monitoring data is improved, and the monitoring efficiency is improved. And a structural support is provided for positioning and temperature compensation of a blind area position.

The invention relates to the technical field of temperature control, in particular to a heating and ventilation heating power constant-temperature variable-flow control method, and provides the following scheme that circulating pump frequency instructions and water temperature response data of multiple historical regulation and control periods are collected, and a dynamic track of the current water temperature in a temperature inertia field is constructed; calculating an attraction potential energy state between the current water temperature and a target constant temperature value in combination with the disturbance residual matrix; and outputting the frequency bandwidth interval of the circulating pump based on the state to realize dynamic adjustment. An adjacency matrix and a Laplacian matrix are constructed by introducing a hydraulic communication relation, spatial convolution and weighted updating are performed on disturbance residues in combination with a topological diffusion core, and accurate propagation and suppression of disturbance are realized. The method can effectively solve the problems of nonlinear response, delay effect and disturbance coupling of the water temperature to the pump frequency, and the temperature stability and the energy utilization efficiency of a heating system are improved.

The invention relates to the technical field of refrigeration house energy-saving control and digital twinning, in particular to a refrigeration house fan energy-saving operation method and system, and the method achieves the whole-field temperature deduction of a sensor-free area by constructing a CFD reference model and simulating and predicting the three-dimensional transient airflow and temperature distribution in a refrigeration house. Model parameters are calibrated through measured data, and the order of the model is reduced by adopting intrinsic orthogonal decomposition and Galerkin projection, so that the calculation amount is remarkably reduced, and online optimization is supported. And in combination with a data assimilation algorithm, the prediction result of the reduced-order model is continuously corrected, and the adaptability to environment change and system aging is improved. The optimization control stage takes minimization of the total energy consumption of a fan as a target, solves an optimal fan control sequence under the hard constraint that the whole-field temperature does not exceed the cargo safety upper limit and does not exceed the cargo safety lower limit, and adopts a rolling time domain mode for execution to realize collaborative optimization of safety and energy conservation.

The invention provides a system-level collaborative water-cooling energy-saving control device and method based on AI fusion refrigeration, and the device comprises an edge calculation unit which is used for receiving the operation working condition parameters, the output working condition and refrigerating capacity prediction information of a refrigeration system, and a water-cooling system control strategy; the cooperative control unit is used for receiving the control strategy pushed by the edge computing unit and performing cooperative control on each device of the water cooling system; the collecting unit is used for collecting operation parameters of the refrigerating system. By establishing the complete system energy consumption model and the multi-constraint optimization algorithm, global optimization control over equipment such as a water chilling unit, a water pump and a cooling tower is achieved.

The invention discloses a multifunctional integrated gas control system for a dilution refrigerator, and particularly relates to the field of refrigeration and low-temperature engineering, which comprises a liquid nitrogen cold trap, a gas buffer tank, an integrated valve box, a dilution refrigeration internal circulation pipeline, a diaphragm compressor, a roots pump, a turbo molecular pump and a vacuum suction pump set. According to the system, a highly-integrated valve box module is used and is responsible for implementing gas circuit control on different stages such as dilution refrigeration cycle starting, operation and shutdown rewarming; according to the invention, conductance optimization and heat loss reduction are carried out on gas paths with different temperature zones and different pressures, high air tightness of a full temperature zone from room temperature to extremely low temperature is ensured, the reliability and the automation degree of the dilution refrigerating machine are improved, and very positive significance is provided for practicability of a dilution refrigerating system.

The invention relates to the technical field of refrigeration heat exchanger surface frost treatment, in particular to a machine vision and ultrasonic wave combined frost identifying and removing method. The method comprises the following steps: S1, deploying CCD / CMOS cameras at key points on the surface of the refrigeration heat exchanger to obtain data; s2, processing the data acquired in the step S1; and S3, cooperatively calculating the frosting thickness and area by adopting a Zhang-Suen skeletonization algorithm and an adaptive threshold segmentation algorithm, and judging the frosting level. According to the frost identifying and removing method combining machine vision and ultrasonic waves, ultrasonic defrosting and intelligent control are combined, the defrosting effect is monitored in real time through machine vision, ultrasonic wave parameters are dynamically adjusted, efficient and accurate defrosting is achieved, and the frost identifying and removing method combining machine vision and ultrasonic waves is achieved through multi-technology fusion. The full-automatic process from intelligent frost recognition and accurate positioning to efficient removal is achieved, the intelligent operation and maintenance level of the refrigeration system is greatly improved, manual intervention is reduced, and the operation reliability and stability are improved.

The invention discloses a high-temperature environment multimodal transport method and system based on composite heat insulation and active temperature control. The method comprises the steps that a multimodal transport capacity grid model simulating high-temperature transport cooperation is constructed; determining model condition hypothesis, and defining decision variables, parameters and state variables of the model; high-temperature special items and safety penalty are included in the total cost, a high-temperature associated total cost model is constructed, and a multi-scene cost calculation formula is deduced; with the purpose of minimizing the total cost, a mixed integer programming model including path connection and flow conservation, temperature constraint, refrigeration / heat dissipation energy and power constraint, node refrigeration / sunshade capacity constraint, battery and key component temperature safety constraint, butt joint / node capacity constraint and time window constraint is constructed; solving the model by adopting an improved hybrid immunity-particle swarm dual-optimization algorithm, and outputting an optimal transportation path, transportation mode, transfer node and high-temperature scene exclusive scheduling parameter; and collaborative optimization of high-temperature transportation safety, energy efficiency and economy can be realized.

The invention is suitable for the technical field of copper pipe cutting, and provides a copper pipe cutting device and method for refrigeration air conditioner machining, the copper pipe cutting device for refrigeration air conditioner machining comprises a workbench, a limiting seat is arranged on the workbench, and clamping mechanisms used for fixing a copper pipe are arranged on the two sides of the limiting seat; the workbench is fixedly connected with a supporting frame, the supporting frame is fixedly connected with an electric telescopic rod, the telescopic end of the electric telescopic rod is fixedly connected with a fixing frame, the fixing frame is connected with a limiting mechanism, and the limiting mechanism can vertically limit a copper pipe; buffering assemblies are fixedly connected to the two ends of the electric telescopic rod correspondingly, and a cutting assembly is horizontally limited between the two buffering assemblies. According to the method, the regulation and control analysis model fuses vibratology, thermodynamics and the material processing principle, real-time quantitative prediction of'cutting precision 'which cannot be directly observed is achieved through measurable parameters, and a theoretical core is provided for intelligent manufacturing.

The invention relates to the technical field of refrigeration material preparation, in particular to an efficient passive radiation refrigeration material suitable for a sub-super environment and a preparation method and application of the efficient passive radiation refrigeration material. The method comprises the following steps: uniformly mixing thermoplastic polyurethane, sunlight high-reflection inorganic particles and a phase change material in a solvent; after a chemical foaming agent is added, the obtained suspension liquid is heated and foamed in a confinement mold, and wet gel is formed; and finally, carrying out freeze drying treatment to obtain the composite porous aerogel. The prepared material has a micro-nano porous skeleton formed by TPU, and inorganic particles and PCM are uniformly dispersed in the skeleton wall. Through component cooperation and a special porous structure, the material has extremely high sunlight reflectivity and mid-infrared emissivity, self-adaptive temperature regulation and control are achieved through PCM phase change, the problem that refrigeration of a traditional material fails in the sub-environment such as the vertical surface is effectively solved, and efficient sub-super-environment heat management is achieved.

The invention belongs to the technical field of refrigerants, and provides a mixed refrigerant for replacing R290 and a preparation method and application thereof, the mixed refrigerant comprises a first component, a second component and a third component; the first component is trans-1, 2-difluoroethylene, the second component is 2, 3, 3, 3-tetrafluoropropene, and the third component is trifluoromethyl methyl ether; compared with R290 refrigerants in the prior art, the mixed refrigerant has the advantages that flammable and explosive components do not exist, and high-risk combustible gas clusters cannot be formed due to density layering after leakage, so that the mixed refrigerant has high safety performance, and the safety level can be not lower than A2L; the mixed refrigerant has the environment-friendly characteristic of low GWP, the GWP is smaller than or equal to 150, and the environment-friendly requirement is met; the thermophysical property and the refrigeration and / or heating cycle performance of the mixed refrigerant are similar to or better than those of R290; the mixed refrigerant can be used for directly replacing an R290 refrigerant.

The invention discloses a motor, a compressor and refrigeration equipment, and relates to the technical field of refrigeration equipment, two end points on the bottom wall of the same magnetism adjusting groove are respectively a point C and a point D, the arc length of the shortest arc between the point C and the point D and taking the circle center of a rotor punching sheet as the circle center is Sr, the number of poles of a rotor is 2P, the included angle between the first groove wall and the center line of the magnetic steel groove of the corresponding group is alpha, the average angle number of each pole of the rotor is beta, the two end points of the two ends of the side wall of the side, facing the air gap, of the tooth shoe part are a point A and a point B respectively, the arc length of the shortest arc, with the circle center of the stator as the circle center, between the point A and the point B is St, 1.28 mm < = 1.56 mm, and 0.4 degree < = 1.56 mm. According to the technical scheme provided by the invention, the torque ripple of the motor is reduced, the noise of the motor is reduced, and the energy efficiency of the motor is improved.