552 results about "Temperature and pressure" patented technology

The invention relates to the technical field of parameter adjustment, and discloses a low-temperature evaporative crystallization machine parameter adjustment method, device and equipment and a storage medium, and the method comprises the steps: collecting M groups of temperature sensor data and N groups of pressure sensor data of a low-temperature evaporative crystallization machine, calculating a first uncertainty representation of temperature parameter measurement and a second uncertainty representation of pressure parameter measurement; performing data fusion to obtain an optimal estimated value of a temperature state and an optimal estimated value of a pressure state; parallel prediction is carried out through the thermodynamic equilibrium model, the crystallization kinetic model and the system response model, and a crystallization process prediction result is obtained; according to the technical scheme of the invention, the interference of the feeding fluctuation, the environmental change and the like can be effectively handled, and the real-time updating of the control strategy and the accurate adjustment of the temperature and pressure parameters can be realized.

The invention discloses an aircraft wheel cooling method and device, and the method comprises the steps: collecting the temperature of a brake disc and the air pressure of a hub in real time through a temperature and pressure sensor, calculating the temperature change rate and the pressure difference through an embedded processing module, and generating a thermodynamic initial parameter set; calculating a thermal stress distribution value of the brake disc based on the initial parameter set, and generating a cooling liquid flow and spraying angle instruction set in combination with a material threshold database; the opening degree of an annular pipeline piezoelectric valve is regulated according to an instruction set, an injection area is regulated according to flow velocity-surface area heat exchange efficiency, and waste heat is synchronously recovered to optimize power consumption; the thermal infrared imager obtains temperature field distribution, the initial parameter tolerance range is compared, the spraying angle and the flow instruction are corrected through a fuzzy PID algorithm, and temperature gradient errors are eliminated; and based on the temperature drop rate, the pressure stability and the waste heat recovery efficiency, an efficiency index is generated by using a neural network scoring model, and algorithm weights and piezoelectric valve response parameters are dynamically adjusted. The cooling efficiency is effectively improved, and the thermal stress risk is reduced.

The present application belongs to the technical field of material processing, and relates to a mold-free mirror image filament laying method and a mold-free mirror image filament laying system. The method lays a filament ribbon in a mirror image symmetry, without a mold, thereby improving production flexibility and efficiency. The method acquires the temperature and pressure of the filament ribbon in real time, calculates the output power of a heater and the modification value of a filament laying end motion mechanism path by using temperature and pressure differences, and optimizes controller parameters through reinforcement learning, so as to realize stable control of the temperature and pressure. The system comprises a hardware part and a control system. The hardware part includes pressure and heat source components. The control system adjusts through real-time feedback to ensure the quality of filament laying. The present application solves the problem that the temperature and pressure are difficult to accurately control in the process of mold-free mirror image filament laying, and improves the performance of composite products.

The invention relates to the technical field of food processing, in particular to a cooking and processing system for fermented glutinous rice cake chilies based on temperature feedback. In the hot pepper cooking treatment process, the temperature distribution of the temperature control points with different heights in the cavity is obtained and the layered gradient difference value sequence is constructed, so that the space difference of the temperature change in the cavity can be effectively identified, and further the advance or lag state of the heat response is periodically judged; on the basis, time sequence structure data are constructed according to the top and bottom temperature and pressure change sequences, and the upper and lower layer pressure response relevance is identified in a trend matching mode, so that the hot-pressing state prediction is closer to the real change process, and the accuracy of hot-pressing state prediction is improved. Finally, the opening and closing frequency and direction of a hot air circulation channel are rhythmically scheduled based on a prediction result, balance and smoothness of internal hot air circulation are ensured, and the thermal control precision and the hot-pressure adjusting capacity in the cooking process are enhanced in the whole process.

The invention discloses an anti-seismic and anti-power-frequency-interference system and method for a vortex shedding flowmeter, and relates to the technical field of flow measurement, the system comprises a signal receiving module, a vibration monitoring module, a frequency identification module, a temperature and pressure measurement module and an interference signal processing module, interference signals in a flow-free state can be accurately processed, whether actual flow exists or not can be accurately judged by measuring the temperature and pressure of fluid in a pipeline and combining the temperature and pressure with vibration and frequency characteristic information, wrong measurement data generated due to the interference signals in the flow-free state are avoided, and the measurement accuracy is improved. According to the method and the system, the measurement problem caused by misjudgment can be reduced, meanwhile, information about the equipment operation state and the pipeline environment is provided for different types of interference signals through comprehensive analysis and judgment of the system, potential equipment faults and abnormal working conditions can be found in time, and a powerful data basis is provided for maintenance and management of the equipment.

The invention discloses a method for determining the plugging thickness of a silt rock stratum based on temperature-pressure field simulation, which comprises the following steps: judging that the fracture pressure of a shale reservoir is smaller than the minimum starting pressure of an overlying silt rock stratum, and carrying out the following steps: wrapping the side surface of a roof rock sample by using a heat insulation sealing material; heating and pressurizing devices and temperature and pressure sensors are arranged on the bottom surface of the rock sample, and a plurality of pressure sensors are arranged on the side surface of the rock sample at set intervals; heating the rock sample by using a heating device until the bottom temperature is the set temperature, pressurizing the rock sample by using a pressurizing device until the bottom pressure is the set pressure, stabilizing the temperature and the pressure until the measured values of the sensors are stable, and determining the lowest position where the pressure of the rock sample is not higher than the second set pressure according to the measured values of the sensors; determining the lower limit of top plate plugging thickness according to the distance from the position to the bottom surface; and similarly, determining the bottom plate plugging thickness lower limit. The method can reasonably quantify the lower limit of the plugging thickness of the top and bottom plates of the shale reservoir through joint simulation of the temperature field and the pressure field.

The invention discloses a supercharged hot press temperature correction method and system, and relates to the technical field of data encryption, and the method comprises the steps: collecting temperature data and pressure data of the surface of a hot pressboard in a hot press through a high-precision sensor, carrying out the preprocessing, and carrying out the correction of the temperature of the hot pressboard based on the preprocessed temperature and pressure data; the method comprises the following steps: establishing a coupling relation model between temperature and pressure, determining an area needing to be corrected, performing local heating or local cooling adjustment on the area needing to be corrected, monitoring the influence of pressure change on temperature in real time in the area correction process, and dynamically adjusting the heating power. A complete and efficient supercharged hot press temperature correction method is formed through high-precision data acquisition, temperature-pressure coupling modeling, accurate correction area recognition and dynamic power adjustment, all the steps supplement one another, accurate control over hot press plate temperature distribution is jointly achieved, the temperature control precision, the response speed and the energy efficiency are remarkably improved, and the method is suitable for large-scale popularization and application. And a reliable technical guarantee is provided for improving the processing quality of the hot press.

The invention relates to the technical field of data processing, in particular to a protective clothing production data processing method and system, and the method comprises the steps: obtaining a temperature sequence and a pressure sequence in a protective clothing sterilization process; presetting the local range of the temperature, and calculating the noise influence degree of the temperature; correcting the noise influence degree by using the correlation between the temperature and the pressure collected at the sampling time corresponding to the local range; the method comprises the following steps: marking temperatures meeting a preset screening condition in a temperature sequence, presetting a sliding window, filtering all marked temperatures by using an SG filter, and in the filtering process, filtering by taking an interval between a current marked temperature and a next marked temperature as a sliding step length of a current sliding window to obtain a denoised temperature sequence. According to the invention, the denoising efficiency and denoising effect of the temperature sequence in the sterilization process of the protective clothing can be improved.

The invention discloses a gas flow sensor combination device based on temperature and pressure compensation and a flow correction method. The gas flow sensor combination device comprises a flow sensor combination, a pipeline mechanism, a data processing terminal, an environment pressure sensor and an environment temperature sensor. The pipeline mechanism comprises an air inlet pipeline and an air outlet pipeline, and a plurality of branches arranged in parallel are connected between the two pipelines; the flow sensor combination comprises laminar flow sensors arranged on the branches respectively and electromagnetic valves used for controlling the branches to be opened and closed, and the laminar flow sensors comprise laminar flow elements arranged on the corresponding branches. The laminar flow element is provided with a pressure difference sensor device used for measuring the pressure difference of an inlet and an outlet, a tail pressure sensor used for measuring the pressure and the temperature of fluid flowing through the laminar flow element, and a tail temperature sensor. The laminar flow sensor is used for measuring parameters such as temperature, pressure and pressure difference of fluid in real time, the parameters are calculated and corrected to obtain the flow in a standard state, and measured flow data are more scientific and accurate through temperature and pressure compensation.

A method for determining multiphase flow rates from a well in real-time, the method includes obtaining temperature and pressure data of flow of a multiphase fluid that includes a first phase at one or more locations in a wellbore conveying the flow. The flow is controlled, at least in part, by a set of well operation parameters. The method further includes determining, with an artificial intelligence (AI) model, a first predicted flow rate of the first phase at a first location given an input that includes the temperature and pressure data. The method further includes determining, with an optimizer applied to the AI model, an optimal set of well operation parameters based on, at least, the first predicted flow rate. The method further includes adjusting, automatically, the set of well operation parameters to the optimal set of well operation parameters.

The invention relates to the technical field of sensor detection, in particular to a comprehensive detection system and method for a petroleum logging sensor. According to the method, the temperature and pressure data in the well logging shaft are obtained, and the temperature change rate and the pressure change rate are calculated, so that the influence of the environment on the measurement data can be accurately evaluated, the compensation of the temperature-pressure coupling influence is further realized, and the measurement precision is remarkably improved. On the basis, the amplitude change and the phase deviation of the measurement signal are further combined, the interference characteristics of the electromagnetic environment on the measurement signal are extracted, and signal optimization is carried out by calculating interference influence parameters, so that the reliability and the anti-interference capability of the measurement data are enhanced. Meanwhile, the influence of load change on the sensor in the logging process is analyzed, the deviation condition of a pressure measurement value is identified, and the measurement error is corrected by using an influence coefficient, so that the measurement data is more stable. Multi-cycle measurement data are compared and analyzed, and the long-term drifting condition of the data can be identified.

The invention relates to the technical field of automatic control, and discloses an automatic process intelligent control method and system for paper packaging. The method comprises the following steps: acquiring humidity fluctuation data and a material surface moisture content index in a production environment in real time, matching a preset moisture absorption model based on a humidity fluctuation grade, calculating a material physical property change amplitude and an influence of the material physical property change amplitude on pressure distribution, and obtaining a pressure distribution deviation value; calculating the target temperature adjustment amount of the heating equipment and updating the power setting of the humidity adjusting equipment according to the incidence relation between the deviation value and the equipment cooperation parameters, and generating a cooperation control instruction; driving equipment performs linkage adjustment and monitors pressure data, and key control parameters are extracted in a stable state for dynamic process adjustment; product appearance and packaging data are collected, whether the quality meets the standard or not is judged, and process parameters are automatically corrected. According to the method, multi-parameter intelligent cooperative control over humidity, temperature and pressure is achieved, and the stability, consistency and automation level of the paper product packaging production process are improved.

The invention relates to a C4F7N / CO2 / O2 ternary mixed gas temperature and pressure characteristic curve interpolation compensation method, and belongs to the field of insulating gas compensation. Comprising the following steps: measuring a temperature value and a pressure value of ternary mixed gas in equipment to be measured, and further obtaining a pressure value at 20 DEG C corresponding to the measured pressure value under a built-in rated mixing ratio as a first pressure value; according to the actual mixing ratio of the ternary mixed gas in the to-be-measured equipment, the measured pressure value and the measured temperature value, obtaining the pressure value of the ternary mixed gas at the actual mixing ratio of 20 DEG C as a second pressure value; the deviation between the second pressure value and the first pressure value is calculated, and if the deviation is smaller than a threshold value, the first pressure value is output; and otherwise, performing mixing ratio interpolation through gas virtual compensation to obtain a corresponding pressure value after mixing ratio interpolation, and outputting the pressure value. According to the method, through mixing ratio interpolation, the problem that when the actual mixing ratio of the ternary mixed gas is inconsistent with the built-in mixing ratio, the gas density obtained by the density relay has a large error is solved.

The invention discloses a temperature and pressure integrated transmitting measurement method and system based on nonlinear compensation, and relates to the technical field of measurement. The method comprises the following steps: synchronously acquiring a temperature original signal and a pressure original signal of a target environment to carry out cross influence analysis, and constructing a temperature-pressure cross influence matrix; performing nonlinear segmented compensation on the temperature original signal and the pressure original signal according to the temperature-pressure cross influence matrix to generate a temperature compensation signal and a pressure compensation signal; and fusing the temperature compensation signal and the pressure compensation signal, generating an initial fusion measurement value, carrying out data change diagnosis, carrying out multi-stage verification according to a diagnosis result, and determining a temperature and pressure integrated transmission measurement value. The technical problem that in the prior art, temperature and pressure signals interfere with each other in the temperature and pressure measurement process, effective compensation and correction cannot be achieved, and consequently measurement is inaccurate is solved, and the technical effect of improving temperature and pressure integrated transmitting measurement precision is achieved.

The invention discloses a basalt supercritical CO2 mineralization reaction real-time test system and a quantitative analysis method, and the system comprises a basalt micro-fluidic chip which employs a multilayer composite sealing structure to simulate a reservoir fracture environment; the high-temperature and high-pressure reaction device regulates and controls the temperature and pressure conditions of the reduction reservoir through temperature and pressure coordination; the temperature regulation and control system, the fluid pressurization system, the metering system and the image acquisition system are integrated, so that the real-time dynamic monitoring of the mineralization reaction of supercritical CO2 and basalt is realized. Based on a deep learning algorithm and a seepage-reaction coupling model, mineral precipitation morphology and fracture structure evolution laws are automatically analyzed, and dynamic association between seepage characteristics and reaction kinetics is quantitatively represented. According to the method, the experiment authenticity, the observation resolution and the analysis efficiency are remarkably improved, and reliable experiment support is provided for optimization of the carbon sequestration technology.

The invention relates to a digital core resistivity numerical simulation and saturation model construction method under deep overpressure and high temperature conditions, and relates to the technical field of oil-gas exploration, and the method comprises the steps: constructing a digital core under the overpressure condition, calculating the clay conductivity and formation water conductivity under the high temperature condition, and obtaining an overpressure and high temperature equivalent digital core model; based on an overpressure and high-temperature equivalent digital core model, through an electrical numerical simulation algorithm, the resistivity and the stratum factor F of water-saturated cores with different porosities phi are calculated, and an F-phi cross plot is constructed; and calculating digital core resistivity and resistivity increase coefficient RI of different water saturation Sw by using a numerical simulation algorithm, and constructing an RI-Sw cross plot. According to the method, a saturation model under the deep actual temperature and pressure conditions can be constructed through equivalence of pressure and temperature by utilizing a digital rock core numerical simulation technology.

The invention discloses a leak detection test system for a cabin door sealing element. The leak detection test system comprises a visual sealing box, a gas supply mechanism, a temperature control system, a helium mass spectrometer and a DIC test system, an adjustable clamp used for fixing a sealing piece is installed in the visual sealing box, a loading head is installed in the visual sealing box and abuts against the sealing piece, and an inner cavity of the visual sealing box is divided into a high-pressure cabin and a low-pressure cabin by the loading head and the sealing piece; the air supply mechanism communicates with the hyperbaric cabin through a pipeline and is used for adjusting the air pressure of the hyperbaric cabin; the temperature control system is used for adjusting the temperature of the hyperbaric cabin; the helium mass spectrometer is communicated with the low-pressure cabin; and the D IC test system is used for capturing and analyzing the deformation condition of the sealing element. According to the invention, the deformation condition of the sealing element under different temperature and pressure conditions can be captured and analyzed, the sealing performance of the sealing element can be accurately evaluated, and the leak detection efficiency and accuracy of the sealing element are improved by comprehensively applying multiple technical means, so that the detection is more comprehensive and reliable.

The invention relates to the technical field of cooling water abnormity monitoring, in particular to a steel slag pressure hot stuffy rolling cooling water abnormity alarm system and method.Roll gap cooling water flow, injection temperature, hot stuffy tank pressure and bearing vibration data are collected, a dynamic mapping relation between position coordinates of a spraying opening and a water inlet valve is established, temperature and pressure time sequence offset is calculated, and the temperature and pressure time sequence offset is calculated; the temperature judgment boundary is corrected by combining the pressure bearing limit value of the sealing ring and the real-time flow, and an abnormal alarm is triggered according to the temperature over-limit frequency in the continuous time period. A multi-source analysis framework is constructed by integrating temperature, flow, pressure and vibration parameters, single-point monitoring limitation is eliminated, nonlinear influence of the flow on tank pressure is quantified by adopting a dynamic weight model, a self-adaptive temperature threshold value is generated in combination with a sealing pressure bearing limit, dynamic coupling of an alarm mechanism is realized, an abnormal scene is positioned based on time sequence analysis and coordinate mapping, and the accuracy of monitoring is improved. The sealing hidden danger is pre-judged through the thermal unbalance coefficient, and the pressure rate deviation is intercepted in real time.

The invention discloses a cooling water system flow switch verification method and system, and relates to the technical field of flow switch verification, and the method comprises the steps: detecting the current flow in real time through a flow adjusting device, comparing the current flow with a preset standard flow value, and adjusting the current flow to a preset reference state; according to the working condition of a cooling water system and the characteristics of a flow switch, the cooling water flow is adjusted through a self-adaptive flow adjusting algorithm, and data collection is conducted at multiple flow points; monitoring the triggering time and the response state of the flow switch at each flow point; analyzing historical response data of the flow switch through a machine learning algorithm, and identifying a potential fault trend of the flow switch; a report is generated based on the collected data and analysis results. According to the cooling water system flow switch calibration method provided by the invention, the downtime of the cooling water system is reduced, the operation efficiency of the system is improved, and the requirement for real-time calibration in an industrial process is met. And data deviation caused by temperature and pressure fluctuation is reduced.

The invention provides a temperature-pressure composite sensor pressure output correction method and device, a medium and a product. The method comprises the following steps: step 1, extracting a bridge arm resistance temperature change factor; monitoring the resistance change of bridge arm resistors in the pressure-sensitive core, obtaining the temperature change rate of the resistance of each bridge arm resistor relative to the resistance of the reference state resistor according to the change relationship between the pressure and the resistance of the bridge arm resistor, and further obtaining a temperature change factor reflecting the environment temperature of the internal circuit of the sensor; 2, pressure output correction based on the thermal hysteresis effect; based on a neural network model trained under different internal and external temperatures and pressure calibration points, corrected pressure sensor output can be obtained through sensor external temperature, temperature change factors and sensor original output, and the thermal hysteresis effect caused by inconsistency of the internal and external temperatures of the sensor is reduced. The method has the advantages of low cost, high accuracy, high universality and the like.

The invention discloses a preparation method of a high-precision small gear assembly, which comprises the following steps: S1, selecting metal powder, mixing the metal powder with a high-molecular binder in proportion, mixing and uniformly preparing a granulation feed, and finally performing quality inspection on the feed to ensure that the feed is suitable for a subsequent forming process; s2, after the granulation feed is added into an injection molding machine, temperature and pressure parameters are adjusted, it is ensured that the material uniformly flows into a mold, the high-precision mold is used, the dimensional tolerance is controlled within + / -3 micrometers, the material fluidity needs to be kept in the injection process to prevent defects, the mold is cooled after injection is completed, and the material is obtained; the gear manufacturing precision can be improved, the surface smoothness is improved, flaws are reduced, it is guaranteed that the product dimensional tolerance meets the national standard grade requirement, meanwhile, the defects and deformation of a finished product are reduced through strict process control, it is guaranteed that a gear assembly has the longer service life and the higher performance stability, and the gear assembly is suitable for batch high-precision manufacturing.

A method for producing high quality exfoliated layered materials may include loading a layered material powder into a variable-volume reactor, injecting a pressurized fluid into the variable-volume reactor, increasing the temperature of the variable-volume reactor to a predetermined temperature, increasing the pressure of the variable-volume reactor up to a pressure higher than the critical pressure of the pressurized fluid at the predetermined temperature by reducing the volume of the variable-volume reactor, obtaining an intercalated layered material powder by maintaining the temperature and pressure condition within the variable-volume reactor for a predetermined amount of time, and exfoliating the intercalated layered material powder by expanding the pressurized fluid within the variable-volume reactor by increasing the volume of the variable-volume reactor. The reactor and method may be configured to perform supercritical extraction and nanoparticle production processes as well.

The invention relates to a method for stabilizing a well wall through cooperation of a wall fixing agent for marine hydrate drilling fluid and a temperature and pressure field and application of the wall fixing agent and the temperature and pressure field, and belongs to the technical field of natural gas hydrate development. A mud cake is embedded into an unsteady state mass and heat transfer model, a sea area natural gas hydrate drilling fluid-solid-heat-chemical multi-field coupling model is constructed, parameters such as the dosage of a drilling fluid wall fixing agent and the temperature and pressure of drilling fluid are dynamically adjusted, and the stable state of a well wall is judged in real time according to the improved hydrate reservoir Mohr-Coulomb criterion. And the borehole wall instability risk is rapidly reduced by dynamically adjusting drilling fluid parameters (the concentration of a wall fixing agent and the temperature or pressure of the drilling fluid), and the borehole wall stability of marine hydrate reservoir drilling is achieved.

The invention discloses a carbon dioxide sequestration experiment simulation device and method based on in-situ conditions, and relates to the technical field of carbon dioxide sequestration, the device comprises a pressure container, a three-phase supply system, a load system, an acquisition system and a temperature control system, the pressure container comprises a pressure cylinder, a direction moving block and a displacement sensor; the loading system applies pressure to the rock core sample to provide stress and deformation quantity in the three-axis direction; the acquisition system comprises a nuclear magnetic data acquisition system for shooting to obtain a core sample pore structure and fluid change characteristics, and a temperature and pressure data acquisition system for acquiring pressure and temperature of CO2 injected into a core sample; the temperature control system is used for controlling the temperature when CO2 is injected into the rock core sample. According to the simulation method, the real heat-water-pressure-geomechanical conditions of the underground reservoir can be simulated, physical and chemical interaction between a two-phase or three-phase and the rock and mechanical characteristics of the rock are considered, and then research on the storage mechanism and safety of carbon dioxide geological storage is carried out.

The invention discloses a safety early warning system, which relates to the technical field of early warning regulation and control, and comprises an acquisition and processing module, an analysis and prediction module and an early warning regulation and control module, the acquisition processing module measures the temperature and the pressure in the current period, and processes the temperature and the pressure in the historical period into a standard data tensor; the analysis and prediction module establishes a matching degree matrix through dynamic time warping, introduces physical regular constraint into principal component analysis based on an ideal gas equation, extracts and generates a coupling feature sequence, splices the coupling feature sequence with a standard data tensor, inputs the coupling feature sequence into a prediction model, outputs a prediction data tensor, and performs fitting to generate a trend function of temperature and pressure; and the early warning regulation and control module dynamically judges a dangerous moment and dynamically determines a regulation and control time length, performs model prediction control based on an equipment regulation and control model, defines a regulation and control objective function, solves an optimal regulation and control problem in a limited time length, obtains an optimal parameter adjustment quantity vector, and executes regulation and control. And accurate prediction and regulation and control considering the temperature and pressure coupling relationship and the adjustable and controllable time length are realized.

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 discloses a fluid temperature and pressure partitioning and heat transfer prediction method under supercritical pressure, which comprises the following steps: firstly, constructing a dimensionless criterion SEN to quantitatively evaluate a fluid expansion effect, and then dividing heat transfer into a plurality of temperature and pressure intervals based on Nuexp / Nufc; for each partition and the constructed dimensionless criterion, a temperature interval of a dominant mechanism and characteristic parameters representing the dominant mechanism are extracted, and particularly, the reasonability of a single-phase fluid hypothesis and a two-phase fluid hypothesis can be rapidly judged through the constructed dimensionless criterion; and establishing a partition prediction model by adopting a mechanism and data dual-drive framework. And finally, calling the corresponding sub-model according to the working condition and processing the cross-region continuity to realize high-precision heat transfer prediction in the full working condition range. The method solves the problem that a traditional method is difficult to predict full-temperature pressure interval heat transfer at high precision, and can be used for precise thermal design of the supercritical working medium in thermal equipment such as boilers, heat regenerators and coolers.

The invention discloses a fractured formation horizontal well wall stability quantitative control method under transient temperature and pressure coupling, and relates to the technical field of deep oil and gas drilling. The method comprises the following steps: analyzing the internal temperature of a drill column, the annulus temperature and the well wall temperature reflecting the transient temperature difference disturbance boundary effect by utilizing a drilling process API RP 13D rheological drilling fluid circulating temperature field control equation; establishing a dynamic ECD prediction model coupled with the annulus temperature and the pressure disturbance effect, and taking the transient temperature difference between the dynamic temperature of the well wall and the original temperature of the stratum, the transient pressure difference between the transient pressure of the well wall and the original pore pressure of the stratum and the transient stress difference between the transient pressure of the well wall and the original radial stress as dynamic disturbance boundary conditions; a pore pressure field and a stress field of rock around a well of the fractured formation under the heat-fluid-solid coupling effect under the non-uniform ground stress condition are analyzed in combination with a dual-pore thermoelasticity theory, a safe density window of the horizontal well of the fractured formation is determined, and well wall instability can be effectively prevented.

An intelligent heat pump system autonomously manages thermal regulation in heating and cooling modes using real-time sensor data and adaptive control algorithms. The system comprises a heat pump integrated with components including a supply valve, regulating valve, return valve, and compressor expander, along with multiple sensors configured to monitor temperature and pressure conditions at various points, including the reservoir, cold side, and hot side. A removable memory stores a directive file containing operational parameters, including target temperatures, valve timing, and pressure control data. A control unit with a processor executes firmware modules that include sensor calibration routines, motor and valve control logic, and an adaptive algorithm that continuously compares real-time sensor input against target parameters. Based on deviations, the system dynamically adjusts component operations to regulate refrigerant flow, internal energy, temperature, and pressure, thereby driving the system toward a steady-state thermal condition. This autonomous system ensures efficient performance, enhanced temperature stability, and optimal energy usage across a range of varying environmental conditions.

A system to extract water from the environment and control temperature through heat transfer between two or more environments, with low energy consumption, for domestic, commercial, or industrial use, which comprises: at least one force unit (10), capable of increasing or decreasing the pressure of the thermal working fluid, wherein the force unit (10) comprises one cylinder (1), which comprises within at least one plunger (2) joined to a piston (27), wherein the piston (27) moves alternately through the activation of a directional control valve (29) that receives hydraulic fluid from a hydraulic pump (32); at least one closed chamber connected to the cylinder (1), wherein that closed chamber comprises at least one tube (12) joined with at least one closed radiator (8a, 8b) wherein thermal working fluid is compressed inside that closed chamber, wherein the change from liquid to solid state or vice versa occurs, or from solid to another solid state or vice versa; and a control unit (11) that regulates the operation of the directional control valve (29) according to the temperature and pressure obtained from the closed chamber; a first (92) and a second (93) heat transfer circuit, wherein the valves (37as, 37ai, 37bs, 37bi; 81ai, 81bs, 81bi; 81as, 81ai, 81bs, 81bi) are operated by a control unit (11) and associated method.