233 results about "Enthalpy" patented technology

The invention relates to the technical field of industrial process automatic control, in particular to an industrial steam flow intelligent adjusting system. According to the method, the continuous change trend of the steam state is subjected to time sequence identification, dynamic classification of the steam state can be realized under multivariate combination, so that a steam state switching path is insighted in advance, an information coupling measurement mechanism between enthalpy change and flow is introduced on the basis, and calculation of mutual information between enthalpy and flow is combined, so that the dynamic classification of the steam state is realized. Abnormal sections with adjustment deviation in actual operation are accurately recognized, the adjustment possibility is further judged according to the deviation quantification result of the target flow and the actual output flow, controllable and uncontrollable sections are effectively divided, and the rollback value domain limitation of the uncontrollable sections is set. Therefore, in the subsequent target value adjusting process, target setting of the remaining sections can be reset in a targeted mode, the priority sequence is constructed according to the adjusting time sequence and the adjusting amplitude, and dynamic sorting output of the adjusting strategy is achieved.

The invention discloses a thermal management control method for a hydraulic hybrid power system of a mining vehicle in order to solve the technical problem that multi-power-source coupling optimization and an energy control strategy are poor, and belongs to the technical field of underground vehicle thermal management. According to the method, data such as real-time temperature, pressure, methane concentration and hydraulic oil viscosity are collected through a sensor module; the reference temperature threshold value is dynamically adjusted according to the methane concentration to obtain the maximum allowable temperature, the opening degree of a flow valve of a cooling system is adjusted through a dynamic PID algorithm when the real-time temperature exceeds the limit, and PID parameters are adjusted in real time along with the viscosity of hydraulic oil; and after a data error is compensated by adopting a least square method, a specific enthalpy and a specific entropy of a key node are calculated by utilizing a ratio algorithm, a physical ratio is deduced, and an abnormal node is positioned. Through cooperative control of thermal management and hydraulic mixing, the energy efficiency and safety bottlenecks are overcome, the energy utilization efficiency is improved, and technical support is provided for low-carbon transportation of mines.

The invention provides a supercritical carbon dioxide compressor performance evaluation method which can be applied to the technical field of compressors. The method comprises the following steps: acquiring total enthalpy and theoretical sound velocity from a physical property database according to total temperature and total pressure under the condition that the compressor operates in an inlet working condition; according to the total temperature, the total pressure, the total enthalpy, the theoretical sound velocity and a given axial Mach number, determining an iterative sound velocity from a physical property database; under the condition that a first error between the iteration sound velocity and the theoretical sound velocity is larger than a first preset threshold value, the theoretical sound velocity is updated to the iteration sound velocity, the steps are executed repeatedly till the first error is smaller than the first preset threshold value, and the target sound velocity is obtained; based on the target sound velocity, determining mass flow and rotating speed; fluid simulation is conducted on the compressor through the mass flow and the rotating speed, and performance parameters are obtained; and the performance of the compressor is evaluated through the incidence relations corresponding to the multiple sets of different inlet working condition parameters.

The invention provides a self-adaptive operation strategy optimization method and system for a refrigeration system, and relates to the technical field of automatic control, and the method comprises the steps: obtaining temperature and humidity data and fluid boundary parameters, reconstructing a temperature and humidity distribution field through a physical constraint neural network, extracting enthalpy difference features, constructing a topological coupling network, and calculating and correcting a refrigeration load. And on the basis of energy consumption and enthalpy value uniformity, refrigeration resource distribution parameters are optimized, accurate regulation and control of the dynamic load area are achieved, the energy efficiency of the system is improved, the enthalpy value uniformity requirement of each area is met, and the environment change adapting capacity of the system is enhanced.

The invention discloses a related quantitative analysis method and system based on steam turbine regulating valve opening disturbance, and belongs to the technical field of generator set optimization operation. Sequentially deducing to obtain a first differential equation and a second differential equation based on the steam temperature change when the steam turbine regulates the valve opening disturbance; the function relation between the enthalpy value of the once-through boiler outlet working medium and the temperature and the pressure is established, and a quantitative analysis equation of the steam turbine adjusting valve opening disturbance to the once-through boiler outlet steam temperature is deduced; based on the proportional relation between the first-stage front steam pressure of the steam turbine and the front steam pressure of the adjusting steam valve and the load constant condition of the once-through boiler, a quantitative analysis equation of the opening disturbance of the adjusting steam valve of the steam turbine to the first-stage front steam pressure of the steam turbine is deduced. Through a reasonable simplified formula, the quantitative influence result of the opening degree change of the steam turbine adjusting valve on the outlet steam temperature of the once-through boiler and the first-stage front steam pressure of the steam turbine can be rapidly and accurately obtained, operation personnel can be assisted in optimizing operation, and then safe and economical operation of a generator set is guaranteed.

The invention relates to the technical field of spraying control, and discloses a spraying process self-adaptive adjustment method and system based on temperature measurement, and the method comprises the steps: presetting multi-sensor parameters, calculating a dynamic weight, calibrating sensors, and solving the problems of real-time interference and cross-process sensitivity difference; acquiring environmental data of a target spraying process, generating a global temperature field thermodynamic diagram, associating the film thickness with an environmental interference label, and providing a three-dimensional reference; coating workpiece heat flux and empty workpiece heat flux are collected, net heat flux and real-time reaction enthalpy change are calculated, a three-dimensional curing degree model is constructed, and the real-time curing degree is calculated to reflect the coating film curing progress; based on real-time curing degree fusion temperature spatial-temporal characteristics and phase change characteristics, core characteristics are extracted, a digital twin model is established to preview a process adjustment effect, an optimal control vector is output by constructing a spray gun three-dimensional optimization function and an improved quantum genetic algorithm, a targeted actuator is triggered for regulation and control, and a coating thermodynamic parameter library is constructed. And updating model parameters to optimize the overall situation.

The invention discloses a thermal power generating unit coordination control data and mechanism hybrid modeling method and device, computer equipment and a computer readable storage medium, and relates to the technical field of thermal energy engineering and power system modeling and control. Establishing a high-precision dynamic mechanism model of the working medium flow and heat transfer process of the boiler-steam turbine system; then, constructing an error correction model fusing the long-short-term memory network, the convolutional neural network and residual connection; and finally, fusing the mechanism model and the error correction model through parallel computing to form a dynamic hybrid model with physical interpretability and high precision. Through the hybrid modeling strategy, the prediction accuracy of key parameters such as the main steam pressure, the separator outlet steam enthalpy value and the unit load in the wide load range, especially under the dry-state operation working condition is remarkably improved, and a reliable model basis is provided for designing an advanced unit coordination control system.

The invention provides a performance prediction method and device based on a refrigerating machine, electronic equipment and a storage medium, and relates to the technical field of refrigeration, and the method comprises the steps that the condensation saturation temperature, the evaporation saturation temperature and the compression exhaust temperature of a refrigerating system are collected in the running test operation process, so that the saturated liquid phase enthalpy and the saturated gas phase enthalpy are determined; according to the condensation saturation pressure calculated according to the condensation saturation temperature and the compression exhaust temperature, the overheat gas specific enthalpy is determined, system refrigeration energy efficiency prediction is conducted according to the saturated liquid specific enthalpy, the saturated gas specific enthalpy and the overheat gas specific enthalpy, and the target system refrigeration energy efficiency is obtained; and performing unit performance prediction on the target refrigerator by using the target refrigeration performance model, the target system refrigeration energy efficiency, the frequency converter efficiency, the motor efficiency and the bearing transmission efficiency. According to the method, the actual refrigerating performance calculation of the refrigerating machine unit from the refrigerating cycle theory can be realized, the problem of performance prediction deviation of the refrigerating machine is effectively solved, and the performance prediction effect of the refrigerating machine is improved.

The invention belongs to the technical field of wind tunnel tests, and discloses a total temperature measuring device and method suitable for a high-enthalpy shock tunnel. A signal generator, a laser controller and a laser of the measuring device are sequentially connected through a cable, laser light emitted by the laser is reflected by a transmitting end reflector, penetrates through a shock wave boundary layer, and then enters a photoelectric detector through an optical filter, a receiving end reflector and a light beam diffusion negative lens in sequence; and the photoelectric detector is sequentially connected with a data acquisition system and a data analysis system through cables. The measuring method comprises the steps of building the measuring device; debugging a laser light path; performing a high-enthalpy shock tunnel test; and performing data analysis. According to the measuring device and method, the measuring device is arranged in a test section, airflow is stopped by using a semi-cylindrical model, the total temperature of a flow field is indirectly measured by measuring the temperature after shock wave at the front edge of a semi-cylinder by using the isentropic stagnation principle, the measuring error caused by high pressure is reduced, the measuring precision is improved, and the measuring device and method have engineering practical value.

The invention discloses a method for determining the feed water flow of an evaporator of a nuclear power station and a related device, and relates to the technical field of thermoelectric conversion, and the method comprises the steps: obtaining the steam flow of an outlet of the evaporator, the secondary loop pressure of the evaporator, and the feed water temperature and nuclear power of an inlet of a main water supply pipe; the specific enthalpy coefficient is determined by looking up a table according to the secondary loop pressure of the evaporator and the feed water temperature, and the specific enthalpy coefficient is the ratio of the steam specific enthalpy to the feed water specific enthalpy; the nuclear power is converted into theoretical steam flow, the theoretical steam flow is used for verifying the steam flow of an evaporator outlet, and if verification passes, the steam flow of the evaporator outlet is used as one of the inputs of the feed water flow soft measurement model; and inputting the specific enthalpy coefficient, the steam flow at the outlet of the evaporator and the secondary loop pressure of the evaporator into a water flow soft measurement model to obtain the theoretical feed water flow. According to the method, high-precision dynamic measurement and calculation of the water supply flow of the evaporator are realized based on the water supply flow soft measurement model.

The invention relates to the technical field of oxygen-enriched combustion safety and flammability limit prediction, and provides a flammability limit value prediction method and application, and the method comprises the steps: obtaining the initial parameters of a gas fuel in a mixed atmosphere of oxygen and carbon dioxide; simulating a combustion process by using an element reaction mechanism, and outputting a curve of component mole fractions changing along with time; the combustion enthalpy change rate under the target atmosphere and the virtual atmosphere is calculated based on the curve, and carbon dioxide in the virtual atmosphere is replaced with virtual gas which has the same thermophysical property but does not have chemical reactivity; respectively calculating combustion heat release, mixture heat absorption and heat radiation; and in combination with the enthalpy change rate and the energy balance equation, the combustible limit value is solved and determined through numerical iteration. By quantifying the chemical effect and thermophysical influence of carbon dioxide, the problem of insufficient precision caused by neglecting the participation of carbon dioxide in reaction and unique thermal property in the oxygen-enriched combustion environment in the existing model is solved, and the method is suitable for the safety design of a combustion system.

The invention discloses a model predictive control-based joint simulation method for a gas-supplementing and enthalpy-increasing cascade steam heat pump, and belongs to the technical field of gas-supplementing and enthalpy-increasing cascade steam heat pumps. The method comprises the following steps: S1, establishing a dynamic model of each component of the gas-supplementing enthalpy-increasing cascade steam heat pump; s2, connecting all parts according to a unified interface to form a system overall dynamic model, and performing dynamic simulation; s3, the dynamic simulation data of the air-supplementing and enthalpy-increasing cascade type steam heat pump system is applied, and multi-output and multi-input state space model identification is carried out; s4, using the identified state space model as a prediction model, and developing a model prediction controller MPC; the behavior of the system in a period of time in the future is predicted, the optimal control input is solved through an optimization method, and real-time and accurate control over the system is achieved. According to the invention, when the system deals with external load change and working condition change, the operation safety of the system is maintained while rapid and accurate load tracking and temperature control are realized.

The invention discloses a compressed air system energy efficiency intelligent evaluation method based on environment compensation. The method comprises the following steps: firstly, acquiring operation performance parameters, air quality parameters and environment parameters, establishing thermophysical property mapping by using an enthalpy-humidity diagram, and forming a quality coupling characteristic data set; meanwhile, a theoretical energy efficiency reference surface and a thermodynamic constraint set are constructed based on an isentropic compression principle and a historical optimal sample. Then, a nonlinear machine learning model is trained, and a nonlinear mapping relation between environment parameter changes and performance and quality offsets is learned; the model converts operation parameters in a real-time non-standard environment into equivalent operation performance parameters under a standard environment condition. And during evaluation, mapping the equivalent operation parameters to a theoretical energy efficiency reference surface, and calculating a distance vector to obtain an evaluation result reflecting the energy efficiency deviation degree and the performance degradation degree of the system. According to the method, environmental interference is effectively eliminated, and the accuracy and comparability of energy efficiency evaluation of the compressed air system are remarkably improved.

The embodiment of the application provides a heat exchange quantity metering method and a controller, a heat exchange quantity metering system and a storage medium, and belongs to the technical field of heat exchange. The method comprises the following steps: obtaining the inlet flow of each inlet pipeline and the outlet flow of each outlet pipeline within a starting time to an ending time, and obtaining the inlet temperature at the starting time and the outlet temperature at the ending time; performing heat exchange quantity calculation according to the inlet flow, the inlet temperature, the outlet flow and the outlet temperature to obtain an initial heat exchange quantity; determining a refrigerant enthalpy value change amount according to the inlet temperature and the outlet temperature; determining a target error proportion according to the refrigerant enthalpy value change amount and the initial heat exchange quantity; if the target error proportion is greater than an error proportion threshold, increasing the ending time, and re-performing error calculation to obtain the target error proportion; if the target error proportion is less than or equal to the error proportion threshold, taking the initial heat exchange quantity as a target heat exchange quantity. The embodiment of the application can realize heat exchange quantity metering of a complex pipeline.

This invention relates to the field of industrial process automatic control technology, specifically to an intelligent industrial steam flow regulation system. This invention, by performing time-series identification of the continuous changing trend of steam state, can dynamically classify steam state under multi-variable conditions, thereby anticipating steam state switching paths. Based on this, it introduces an information coupling measurement mechanism between enthalpy change and flow rate, and combines the calculation of mutual information between enthalpy and flow rate to accurately identify abnormal sections with regulation deviations in actual operation. Furthermore, it uses the quantification result of the deviation between the target flow rate and the actual output flow rate to determine the possibility of regulation, effectively dividing controllable and uncontrollable sections, and setting a fallback value range limit for uncontrollable sections. Thus, in subsequent target value adjustments, the target settings for the remaining sections can be reset specifically, and a priority order can be constructed based on the regulation sequence and magnitude to achieve dynamic sorting and output of regulation strategies.

The application discloses a kind of air source heat pump's air supplement enthalpy control method.It includes: according to the difference of current period's air supplement superheat and the reference safety superheat of current period, determine the air supplement instantaneous difference value of current period;According to the air supplement instantaneous difference value of current period, the air supplement superheat safety difference value of last period and the change trend difference value of current period, determine the air supplement superheat safety difference value of current period;According to the air supplement superheat safety difference value of current period determines corresponding steady control strategy, to control the air supplement expansion valve of air source heat pump according to steady control strategy.By constructing air supplement superheat safety difference value, air supplement state is expanded from traditional binary judgment to continuous quantitative index, so as to execute corresponding steady control strategy according to the quantitative index subsequently, control the opening of air supplement expansion valve, to solve the problem that traditional binary judgment cannot quantify liquid-carrying risk.

The application relates to a nuclear reactor safety analysis method and device. The method comprises the following steps: establishing a simulation model of a nuclear power plant core flow channel, wherein a complete blockage area exists in the model; performing control volume division on the model; taking the control volume containing the complete blockage area as a blockage control volume; initializing the initial transverse flow, initial axial flow, initial pressure field and initial enthalpy value of each control volume every preset time; based on the initial transverse flow, initial axial flow, initial pressure field and initial enthalpy value of each control volume, iteratively solving a plurality of equations established in advance to obtain the transverse flow, axial flow, pressure field and enthalpy value of each control volume, and performing safety analysis on the core flow channel of the nuclear power plant reactor, and setting the axial flow rate in the control volume as 0 when solving the blockage control volume. The method can be used for more accurate safety analysis.

The invention discloses a building comprehensive management control method and device and a medium, and belongs to the technical field of building automation control, and the method comprises the steps: building a dual-medium coupling model between an air medium and a building structure medium, and carrying out the parameterization; establishing a heat flux balance equation based on a parameterization result; building operation data and environment data are collected and processed; the air medium enthalpy difference change rate and the building structure body temperature change rate are calculated and substituted into the heat flux balance equation, the real-time heat flux difference is obtained, and a coupling state vector is generated; and inputting the coupling state vector into a dynamic balance optimization control equation to execute iterative solution, obtaining a control variable, and generating a control signal to adjust a building operation state. According to the method, an energy transfer rule is accurately described through double-medium coupling modeling, a heat flux balance equation is established to realize dynamic balance control, control variables are divided into air side and building structure body side adjustment components to realize multi-system collaborative optimization, and the control precision and the energy-saving effect are improved.

The invention relates to a system (100) for storing and producing energy, comprising a primary circuit (10) for thermal storage, via a primary volume (12), of a high-enthalpy fluid, the circuit also comprising at least a circulation pump and a primary circulation valve (17), the system comprising a secondary circuit (20) for producing energy via the high-enthalpy fluid of the primary circuit, and comprising a connection valve (27) connecting the two circuits (10, 20), the system operating according to two configurations: - a first configuration, with the primary circuit (10) isolated from the secondary circuit (20) by closing the valve (27), and maintaining the fluid under fixed thermodynamic conditions; and - a second configuration, with the primary circuit (10) open to the secondary circuit (20) by opening the valve (27), allowing the diffusion of the fluid in order to actuate energy production.

The invention provides a method and a device for calculating a freezing process when a supercooled liquid drop impacts an ice surface, and belongs to the technical field of ice prevention and deicing, and the method comprises the following steps: obtaining an initial parameter of the supercooled liquid drop; calculating the first temporary speed, temperature and enthalpy value according to an MPS method; the phase state of the supercooled liquid drops is determined according to the relation between the enthalpy value and the latent heat; a dissipation factor is calculated according to the distance from the liquid-phase supercooled liquid drop to the nearest ice-phase supercooled liquid drop and the enthalpy value of the liquid-phase supercooled liquid drop, and a momentum dissipation source item is determined based on the dissipation factor; adding a second temporary step between the temporary step and the correction step of the MPS method, and implicitly calculating a second temporary speed; replacing the first temporary speed with a second temporary speed, performing pressure Poisson equation solution according to an MPS method, calculating a correction speed based on the pressure gradient, and obtaining the actual speed of the supercooled liquid drop based on the correction speed and the second temporary speed; and updating the space coordinate of the supercooled liquid drop based on the actual speed of the time step, wherein the space coordinate of the supercooled liquid drop is used for reflecting the ice type change.

The application discloses a steam temperature control method and device, a storage medium and an electronic device, relates to the technical field of control, and the method comprises the following steps: acquiring the current steam flow of a boiler, the current swing angle of a burner and the current flue gas temperature of a superheater inlet in a steam temperature control system of a thermal power plant; acquiring a superheater inlet and outlet enthalpy increase model; calculating the current steam flow, the current swing angle and the current flue gas temperature according to the superheater inlet and outlet enthalpy increase model to obtain the first inlet and outlet enthalpy increase of the superheater; calculating according to the first inlet and outlet enthalpy increase to obtain a target temperature value of the superheater inlet, and controlling the steam temperature of the superheater inlet according to the target temperature value. Through the application, the problem that the steam temperature is adjusted by a PID controller in the related art, resulting in relatively low accuracy of steam temperature control, is solved.

This invention discloses a chemical nonequilibrium partitioning method based on local Damcole numbers, comprising: S1. Selecting a characteristic length according to the flow field characteristics; S2. Calculating the chemical reaction rate; S3. Calculating the equilibrium components of each component under isochoric and adiabatic reaction conditions using the local thermodynamic physical density and static enthalpy of the flow field; S4. Establishing a local Damcole number that quantifies the relative size of chemical reactions and flow scales; S5. Quantifying the degree of chemical nonequilibrium at different locations in the flow field based on the local Damcole number, thereby establishing a partitioning criterion to divide the flow field into equilibrium, freezing, and nonequilibrium regions; S6. Obtaining a unified dimensionless governing equation system that includes the degree of chemical nonequilibrium based on the local Damcole number.

The application discloses a method for determining feedwater flow of an evaporator of a nuclear power plant and related devices, and relates to the technical field of thermoelectric conversion. The method comprises the following steps: obtaining steam flow at an outlet of the evaporator, secondary loop pressure of the evaporator, feedwater temperature at an inlet of a main feedwater pipe, and nuclear power; using the secondary loop pressure of the evaporator and the feedwater temperature to determine a specific enthalpy coefficient by table lookup, the specific enthalpy coefficient being a ratio of specific enthalpy of steam to specific enthalpy of feedwater; converting the nuclear power into theoretical steam flow, and verifying the steam flow at the outlet of the evaporator by using the theoretical steam flow, if the verification is passed, using the steam flow at the outlet of the evaporator as one of inputs of a feedwater flow soft measurement model; inputting the specific enthalpy coefficient, the steam flow at the outlet of the evaporator and the secondary loop pressure of the evaporator into the feedwater flow soft measurement model to obtain a theoretical feedwater flow. The application realizes high-precision dynamic measurement and calculation of the feedwater flow of the evaporator based on the feedwater flow soft measurement model.

The invention discloses a refrigeration enthalpy increasing control method and system based on intermediate pressure and multi-parameter coupling. The method comprises the steps that the intermediate pressure, the operation frequency of a compressor and the temperature of a coil pipe are collected in real time; the basic enthalpy increasing opening degree is determined on the basis of the intermediate pressure, a dynamic compensation value is calculated on the basis of the coil pipe temperature, the basic enthalpy increasing opening degree is combined with the dynamic compensation value, and the target opening degree of the electronic expansion valve for enthalpy increasing is determined; and the electronic expansion valve for enthalpy increasing is adjusted according to the target opening degree of the electronic expansion valve for enthalpy increasing, and therefore refrigeration enthalpy increasing control is achieved. According to the invention, rapid response, accurate adjustment and system protection of enthalpy increase control are realized.

The invention discloses a data-driven sharp and thin leading edge assembly arc wind tunnel test condition design method. The method comprises the following steps: setting a test nozzle of an arc wind tunnel test and calculating an outlet Mach number; the outer surface temperature field of the sharp and thin leading edge assembly under the flight working condition is calculated, and the characteristic temperature is determined; designing test states of the sharp and thin front edge assembly, and constructing an arc wind tunnel test track by using different test states; calculating the thermal response of each test state; evaluating an outer surface temperature deviation amount in combination with the characteristic temperature and judging whether a criterion is met or not; iteratively updating the leading edge pressure and the leading edge recovery enthalpy which do not meet the criterion in the test state by using a secant method; calculating test gas parameters of the arc wind tunnel test, and updating the front edge heat flux density in the test state; after the aerodynamic thermal environment parameters in the test state are all updated, calculating the thermal response of the test state again and judging whether the criterion is met or not; and when all the test states meet the criterion, outputting the current arc wind tunnel test track.

According to the low-temperature waste heat power generation method and device based on the organic Rankine cycle, a waste heat source temperature signal and a ship posture angle are collected, and heat grade levels are recognized through graded heat capacity analysis to establish heat source graded configuration; identifying a liquid deviation area, adjusting a working medium distribution proportion to form an anti-bias parameter, monitoring a degradation product, collecting a purity deviation amount, and mapping a working medium circulation state; evaporation grading analysis is executed to recognize a pressure demarcation point, available enthalpy drop is extracted, low-temperature evaporation working condition parameters are determined, and a grading evaporation control sequence is constructed; turbine operation parameters are adjusted to obtain exhaust steam flow, and the exhaust steam flow is liquefied, cooled, pressurized and reinjected to form circulating working medium flow, and circulating pressure is detected to generate circulating stable parameters; turbine rotor gravity offset is generated to adjust magnetic suspension electromagnetic force to form an inclination compensation state, thermal efficiency analysis is carried out to identify an efficiency loss area, recoverable waste heat optimization cycle parameters are extracted to generate a power generation control instruction, and waste heat recycling is achieved.

The invention discloses a warm core temperature estimation method and device, computer equipment and a computer program product, and the warm core temperature estimation method comprises the following steps: according to a warm core temperature estimation coefficient theta h, an enthalpy value h2 of CO2 at an outlet side of a compressor, an enthalpy value h3 of CO2 at an outlet side of a gas cooler, and an equivalent enthalpy value hg of CO2 in a transcritical zone representing the warm core temperature, calculating a warm core temperature estimation coefficient theta h; determining the equivalent enthalpy value hg, est of the transcritical zone CO2 representing the warm core temperature according to the reference value hmin of the est; and according to the equivalent enthalpy value hg, est and the pressure Pg, hi of the CO2 in the transcritical zone, the estimated temperature Tg, est of the warm core is determined. According to the warm core temperature estimation method, the warm core temperature is mapped through the equivalent enthalpy value of the CO2 in the transcritical zone based on the sensible-heat-like heat exchange characteristic of the CO2 heat pump system on the high-pressure side, and the accuracy of warm core temperature estimation can be improved.

This invention relates to the field of heat pump control technology, and discloses a method, device, and air source heat pump unit system for controlling an enthalpy-increasing electronic expansion valve. The method includes: determining whether the enthalpy-increasing electronic expansion valve needs to be opened based on the operating status of the heat pump unit; when the enthalpy-increasing electronic expansion valve needs to be opened, detecting the ambient temperature and outlet water temperature of the heat pump unit's main equipment, and determining the initial opening degree of the enthalpy-increasing electronic expansion valve based on the ambient temperature and outlet water temperature; controlling the enthalpy-increasing electronic expansion valve to open at the initial opening degree and maintaining it for a preset time until the main equipment operates stably, then entering an adjustment mode to adjust the opening degree of the enthalpy-increasing electronic expansion valve according to the unit's operating status; if a preset special situation is detected during the maintenance period, entering the adjustment mode in advance to adjust the opening degree of the enthalpy-increasing electronic expansion valve. This invention can improve the response speed of the enthalpy-increasing electronic expansion valve and avoid the problems of excessively rapid rise in exhaust temperature or insufficient exhaust superheat of the heat pump unit.

The embodiment of the invention discloses a physical embedded closed-loop high-entropy alloy laser additive manufacturing performance oriented intelligent design method. By constructing a high-entropy alloy mechanical property database, training a multi-algorithm collaborative integrated agent model and fusing thermodynamic and physical laws and a multi-target Bayesian optimization algorithm, combined reverse design of high-entropy alloy components and LDED process parameters is realized, the applicability, accuracy and robustness of performance prediction are improved, and the performance prediction efficiency is improved. The research and development period of new materials is shortened, and the test cost is reduced. By embedding physical constraints such as valence electron concentration, mixing enthalpy, mixing entropy, electronegativity difference and atomic size difference and comprehensively considering the influence of process factors such as laser power, scanning speed and powder feeding rate, an optimal Pareto component-process scheme is obtained under the support of finite element simulation closed-loop verification and an incremental learning mechanism; and the tensile strength and the yield strength of the high-entropy alloy under different conditions are accurately predicted and reflected.