27 results about "Thermal equilibrium state" patented technology

The invention belongs to the technical field of electrical performance test, and particularly relates to an automatic test method and system for an inflatable switch cabinet factory temperature rise test, and the method comprises the steps: obtaining an original test point temperature sequence and an original environment temperature sequence, executing the noise suppression, and outputting a test point temperature observation value sequence and an environment temperature observation value sequence; acquiring a temperature rise evolution rate based on the observed value; the change gradient of the temperature rise evolution rate is analyzed, and convective stationary factors are obtained in combination with the temperature difference; in a preset disturbance observation window, integral accumulation compensation is carried out on the environment temperature change gradient by using a time weighting core, and a balance judgment index is generated through maximum value search; and determining a thermal equilibrium state based on the equilibrium determination index and the convective stationary factor and executing physical closed-loop control. According to the invention, the problem of advanced shutdown caused by judgment artifacts generated by environment temperature drift is solved, and the automation level and the test reliability of a temperature rise test are improved.

The invention provides a machine tool spindle thermal error modeling prediction and compensation method based on physical-data hybrid drive, and the method comprises the steps: S1, synchronously collecting key position data in a process that a machine tool spindle operates from a cold machine state to a thermal balance state; s2, carrying out collinearity clustering analysis and grey relational degree analysis on the acquired temperature data of the measuring points, and selecting a plurality of sensitive temperature measuring point data; s3, constructing a physical-data hybrid drive neural network model based on a thermal expansion physical equation, inputting the sensitive temperature measurement point data as an independent variable and the corresponding strain data as a dependent variable into a neural network for training, and performing strain prediction; and S4, performing multiple linear regression fitting on strain data predicted by the neural network model and thermal error data acquired by experiments, establishing a thermal error prediction model of the machine tool spindle, and performing thermal error compensation according to a prediction result.

Embodiments of the present disclosure include systems and methods for reducing a sample complexity and a time complexity associated with noise-robust characterization of a quantum device. A plurality of copies of a Gibbs state of the quantum device in thermal equilibrium at a high-temperature. A plurality of estimates for expectation values of the plurality of copies of the Gibbs state. A plurality of cluster derivatives for a plurality of connected clusters of a low-degree Hamiltonian are calculated. A function is inverted on the plurality of estimates based on the plurality of cluster derivatives and a set of Hamiltonian coefficients are estimated for the low-degree Hamiltonian of the quantum device.

The application discloses a battery group safety protection method and device with passive branch self-detection fusing, and belongs to the technical field of battery safety protection. Passive execution units are independently configured for each parallel branch, the thermal equilibrium state of the branch is taken as a dynamic reference to sense the temperature rise deviation, an alloy solid-state phase change material is used to realize physical fusing, and a charge temporary storage circuit is used to complete power-off coding and reporting. The method and device are not dependent on external power supply, master control chips, software algorithms and communication instructions, can independently detect the branch, respond in milliseconds, accurately locate and independently isolate, and have nearly zero power consumption during normal operation. The unified fusing of all branches ensures that the battery pack is completely electrically disconnected during disassembly, and the risk of combustion and explosion caused by residual electricity is eliminated. The method and device are compatible with various battery cells and group structures, can be directly embedded into an existing battery system, and realize passive bottom-up safety protection in the whole life cycle.

The present invention relates to the technical field of testing methods. Specifically disclosed is a method for predicting the tensile strength of a carbon fiber-reinforced epoxy resin matrix composite (CFRC) at a high temperature. The prediction method comprises: determining a pyrolysis process of a material during a heating process; determining a peak temperature at each stage; determining a temperature holding time required for a unidirectional CFRC laminate to reach a thermal equilibrium state; determining the tensile strength of the CFRC at different temperature points in a high-temperature environment; and determining a variation law and prediction method of the tensile strength of the material during the pyrolysis process. The prediction method of the present invention takes into account the influence mechanisms of resin matrix thermal softening and thermal decomposition and carbon fiber high-temperature softening on the tensile strength of CFRCs, can truly and effectively characterize the degradation process of the tensile properties of CFRCs at high temperatures, allows for macroscopic prediction of the tensile strength of CFRCs at high temperatures, and adapts to a temperature range of 20-450°C.

The application relates to a method for quantitatively characterizing fluid adsorption on a rock pore surface, comprising the following steps: establishing a molecular simulation initial model based on the molecular structure and physical parameters of the rock and the fluid; giving the molecular simulation initial model an initial velocity and a force field, and starting the movement of the molecules; after the model is in a thermal equilibrium state, recording the coordinate information of each fluid molecule at each time step; taking the rock pore surface Z0 as a starting point, dividing the whole model into n series of cuboid intervals with equal intervals of Delta r along the Z axis; solving the model ensemble average, and then calculating the atomic number density in each cuboid; drawing a fluid atomic number density diagram along the Z axis, and then determining the adsorption layer and the homogeneous phase zone; and calculating the atomic number density ratio in the adsorption layer and the homogeneous phase zone, which is the adsorption capacity of the rock surface to the component. The method can accurately calculate the adsorption capacity of the solid surface, and provides theoretical support for subsequent research on fluid flow mechanism and analysis of flow characteristics.

The invention provides a thermal shock resistance temperature measurement method and device for a thermopile sensor and electronic equipment, and relates to the technical field of temperature measurement, and the method comprises the steps: carrying out the active heating of the thermopile sensor, enabling the thermopile sensor to reach and be stabilized at a preset preheating temperature, and building a heat balance state; after the heat balance state is established, heating turn-off control is executed, so that the heating power is reduced to zero from the steady-state heating power; collecting an output signal of the thermopile sensor in a measurement time window without active heating; calculating a target temperature based on the collected output signal; wherein the process of establishing the heat balance state and the process of collecting the output signal are executed in sequence in time, so that the output signal collected in the measurement time window is not interfered by the self-heating noise of the heater. According to the invention, at any environment temperature, by automatically optimizing the preheating state, energy efficiency and equipment safety are taken into account while the thermal shock resistance effect is ensured, and high-performance body temperature measurement which is immediately measured after startup, accurate in first measurement and stable in result is realized.

This invention discloses a precision machining method for large curved surface molds. The steps are as follows: rough machining of the large curved surface mold on both sides using a CNC milling machine; allowing the large curved surface mold to stand freely in air; finishing machining the bottom plane of the mold in the free state; flipping the mold over and positioning it with the bottom plane, checking the flatness of the bottom plane of the mold body in the free state; preheating the machine tool to allow all moving parts of the CNC machine tool to reach thermal equilibrium in the machining area, thus ensuring stable operation of the machine tool; verifying changes in machine tool accuracy; machining the large curved surface of the mold using a hemispherical insert for finishing; and high-precision surface inspection of the machined large curved surface. The beneficial effects of this invention are: by using a preheating program to keep the spindle rotating and running the XYZ linkage idle for 1.5 to 2 hours, the CNC machine tool reaches thermal equilibrium; and by checking tool wear using a verification ring, the problem of tool wear judgment is effectively solved.

The application discloses a kind of CNC machine tool feeding system full working condition thermal characteristic dynamic coupling monitoring method, including acquisition machine tool cold state data;Record the steady-state temperature of each measuring point in thermal equilibrium state and screw tail elongation;Collect the temperature of each measuring point, screw tail elongation and positioning error under variable speed, variable load experiment;After shutdown, continue to monitor the cooling curve;Based on Newton cooling law fitting thermal time constant;Range analysis and variance analysis are carried out to orthogonal experiment data of four factors and three levels of temperature, speed, load and stroke, to obtain the priority of each influencing factor;Simulation model is constructed, and experimental data and simulation data are compared point by point, to calculate the average deviation of temperature, deformation and positioning error;If deviation is out of limit, reverse optimization friction coefficient and heat transfer coefficient until high-precision simulation model is obtained;Based on high-precision simulation model, extract experimental difficult-to-measure area data, track global thermal deformation transmission path, generate thermal error compensation table, and guide heat dissipation structure optimization.

This invention discloses a data-driven method and system for optimizing the energy efficiency of waste gas treatment equipment, relating to the field of data processing technology. The method includes: obtaining a multi-point operating data sequence within a window; performing time-series iterative analysis of the window state to determine the operating vector of the window iterative structure's thermal equilibrium state and the constrained operating conditions vector of the window iterative structure; acquiring a pre-constructed distribution model of the high-efficiency operating state of a new three-chamber RTO; performing deviation analysis to determine the state distribution deviation coefficient; performing energy efficiency optimization control analysis of the waste gas treatment equipment to determine the energy efficiency uncertainty coefficient; and determining an energy efficiency optimization scheme for the new three-chamber RTO based on the state distribution deviation coefficient and the energy efficiency uncertainty coefficient. This solves the technical problem in existing technologies where optimization based on equipment operating states is difficult, leading to poor energy efficiency improvement. It achieves the technical effect of adaptive energy efficiency optimization based on equipment operating states, thereby improving the energy efficiency of waste gas treatment equipment.

The application discloses a kind of airflow temperature sensor time constant measurement method based on laser positive step excitation, belong to airflow temperature measurement field.The application implementation method is: in wind tunnel constructs normal temperature airflow under thermal equilibrium;Keep the airflow temperature sensor to be measured in the normal temperature airflow of fluid parameter that has been set reaches thermal equilibrium state, open laser, under normal temperature airflow, using continuous laser irradiation airflow temperature sensor's sensitive part, so that the airflow temperature sensor to be measured reaches new thermal equilibrium state, using data acquisition equipment collects the temperature-time response curve of airflow temperature sensor to be measured under laser positive step excitation;Equivalent airflow temperature model is constructed, and the airflow temperature sensor time constant under high-temperature airflow is obtained using the equivalent airflow temperature model, realizes the airflow temperature sensor time constant measurement under laser positive step excitation.The application does not need to heat flow field to high-temperature state, can reduce airflow temperature sensor time constant measurement cost.

The invention provides a power battery charging control method and device, a storage medium and a program product, and relates to the technical field of vehicles. The power battery charging control method comprises the steps that a detected charging signal for a power battery is responded, the health state of the power battery is obtained, and the heat balance temperature of the power battery in the charging process is obtained; determining a required charging current range for keeping the power battery in a heat balance state according to the heat balance temperature; according to the state of health, a charging current value corresponding to the state of health is determined from the required charging current range, and the charging current value is the maximum charging current value for ensuring the charging safety of the power battery in the state of health; and controlling the power battery to charge according to the charging current value. The charging efficiency is improved while the charging current jump of the power battery is reduced.

The invention discloses a thermal balance efficiency and temperature calculation method for an electromechanical composite transmission device. The method comprises the following steps: acquiring a structure parameter, a working condition parameter and an initial temperature in the electromechanical composite transmission device; calculating the viscosity of the lubricating oil according to the current lubricating oil temperature; calculating the power loss of each part of the transmission device based on the viscosity of the lubricating oil and the working condition parameters; establishing a system thermal network model of the transmission device; inputting the power loss of each part of the transmission device as a heat source into the system heat network model, solving a heat balance equation set, and obtaining the temperature value of each temperature node, including a new lubricating oil temperature; whether the electromechanical composite transmission system reaches a heat balance state or not is judged, and if yes, the total efficiency of the transmission device in the heat balance state and the balance temperature of each temperature node are output. The invention provides an innovative solution for energy efficiency optimization and thermal management of the electromechanical composite conduction device.

The invention provides a time-based thermal error compensation method for a numerical control system, a medium and equipment, and relates to the technical field of numerical control system.The method comprises the steps that compensation values needing to be repaired in different time periods after machining of a machine tool is started are collected, and the number of the time periods serves as the interval number of a time-based thermal error compensation function; filling the time length and the compensation value of each time period into a heating interval and a cooling interval of the time type thermal error function; a real-time compensation value is calculated according to data of the temperature rise interval during machine tool machining, the compensation value is constant after a heat balance state is achieved, the compensation value is calculated according to the temperature rise interval within the hot and cold time after machine tool machining is stopped, and the real-time compensation value is calculated according to data of the temperature reduction interval after the hot and cold time is exceeded; and the real-time compensation value takes effect when the machine tool executes the G00 code. According to the method, nonlinear thermal deformation can be effectively compensated, and the machining precision of the workpiece is improved.

The embodiment of the present application discloses a method and device for limiting radio frequency alternating magnetic field in magnetic resonance imaging. The method comprises: obtaining a first B1 field intensity required when a local coil surface temperature reaches a maximum safe temperature in a thermal equilibrium state when the local coil is placed at a set position in a detection hole of an MR scanner; obtaining a second B1 field intensity required for heating the local coil surface temperature to the maximum safe temperature within a set MR total scanning time when the local coil is placed at the set position according to a relationship among the local coil surface temperature, the scanning time and the B1 field intensity during MR scanning and the first B1 field intensity; and determining a third B1 field intensity required for MR scanning using the set MR total scanning time according to the second B1 field intensity. The embodiment of the present application reduces waste of B1 field performance while ensuring patient safety and improving MR imaging quality.

The invention discloses a thermal parameter identification method, system and equipment for a power semiconductor device and a heat dissipation system thereof, and a storage medium. The method comprises the following steps: heating a to-be-tested device to a thermal equilibrium state; the device shell temperature and the radiator temperature of the device to be measured are measured, when other n devices are installed on the same radiator, the device shell temperature and the radiator temperature of other n devices are measured at the same time, the device shell temperature refers to the substrate temperature below the center of the device chip, and the radiator temperature refers to the radiator surface temperature below the center of the device chip; measuring the device saturation voltage drop and the heating current of the to-be-measured device, and multiplying the device saturation voltage drop by the heating current to obtain the device loss; and calculating the thermal resistance from the device shell to the radiator by using a formula according to the device shell temperature, the radiator temperature and the device loss. According to the invention, the thermal parameter identification of the device and the heat dissipation system can be realized without changing the heat dissipation working condition and measuring the junction temperature cooling curve.

The application belongs to the technical field of nuclear magnetic resonance hyperpolarization, and specifically discloses a method for evaluating the relationship between the affinity of a substrate and a SABRE catalyst precursor and the hyperpolarization performance, which comprises the following steps: preparing a to-be-tested NMR sample: dissolving an Ir-based catalyst precursor and the Ir-based catalyst precursor and the substrate in deuterated methanol respectively to obtain different to-be-tested NMR samples; collecting a thermal equilibrium 1 HNMR spectrum: placing the to-be-tested NMR sample into a nuclear magnetic instrument, tuning the lock field shimming, and collecting the hydrogen spectrum of the sample in a thermal equilibrium state; polarization transfer: introducing para-hydrogen, and activating the catalyst precursor to form a SABRE catalyst; placing the sample into a nuclear magnetic shielding instrument, setting a polarization transfer field strength, continuing to introduce para-hydrogen to realize polarization transfer, and stopping the aeration; collecting a hyperpolarized 1 HNMR spectrum: quickly transferring the sample treated by polarization transfer into a nuclear magnetic detection instrument, inputting a preset instruction to collect the hydrogen spectrum in a hyperpolarized state; data processing and analysis: processing and analyzing the obtained hydrogen spectrum data, including calculating an equilibrium constant and a signal enhancement multiple.

The invention discloses a calibration-free flame atomic ratio detection method based on laser-induced breakdown spectroscopy, and relates to the technical field of optical combustion detection.The calibration-free flame atomic ratio detection method comprises the steps that a laser-induced breakdown spectroscopy system is built; carrying out a laser-induced breakdown spectroscopy collection test on the target measurement position of the flame by adopting a laser-induced breakdown spectroscopy system to obtain an original spectral signal; calculating the temperature of the laser-induced plasma based on the original spectral signal, and verifying that the laser-induced plasma is in a local heat balance state; calculating a partition function of the target atoms in the laser-induced plasma based on the temperature of the laser-induced plasma and the types of the target atoms; and calculating the flame atomic ratio based on the original spectral signal, the laser-induced plasma temperature and the partition function of the target atom in the laser-induced plasma. The method has the advantages that the flame atomic ratio in the wide laser energy range can be accurately measured without depending on a calibration curve, and meanwhile, the reliability of a measurement result is ensured by verifying the plasma state.

The application relates to the technical field of semiconductor device testing, and discloses a wide-frequency-range semiconductor device low-frequency noise precise measurement method, which comprises the following steps: bias voltage is applied to a device to be tested, and current is collected; a thermal equilibrium state is determined by calculating a current change rate; when the change rate meets a stability threshold, measurement is triggered, and thermal drift interference is eliminated. In response to a trigger signal, a load switching unit is controlled to access an impedance-matched equivalent resistance network; under the condition of maintaining device direct-current power supply and junction temperature thermal equilibrium, system background noise spectrum is collected in situ. Then, a total frequency band is divided into multiple sub-frequency bands, a preamplifier gain and a sampling rate are adjusted in cooperation, original data are acquired, and a full-frequency-band total measurement noise spectrum is synthesized. Finally, background noise spectrum is subtracted from the total spectrum to obtain a net noise power spectral density, and defect parameters are extracted by using a physical model. The application effectively expands the dynamic range of high-frequency measurement, and improves the detection precision and physical characterization capability of weak defect signals.

The invention discloses a quantitative determination method of liquid viscosity under nanoscale, which comprises the following steps: liquid molecule simulation is carried out in a simulation box, and after liquid molecules are in a thermal equilibrium state, the liquid molecules are divided into an even number of equal-width cuboid spaces along a Z direction; selecting atoms with the maximum speed in the X positive direction at the bottom layer, selecting atoms with the maximum speed in the X negative direction at the middle layer length, and exchanging momentums of the two atoms, namely the exchange speed; after liquid molecule simulation time is iterated, a shear rate profile and Z-direction momentum flux from a middle layer to a bottom layer are calculated; and calculating the liquid viscosity according to the obtained shear rate profile from the middle layer to the bottom layer and the Z-direction momentum flux. According to the method, the liquid viscosity under the nanoscale can be quantitatively measured, and theoretical support is provided for follow-up fluid flow mechanism research, related medicament performance evaluation and the like.

The invention relates to a thermal error compensation method of a grinding machine static pressure main shaft and a related device, and belongs to the technical field of machining equipment.The thermal error compensation method of the grinding machine static pressure main shaft comprises the steps that a three-dimensional geometric model of a grinding machine static pressure main shaft system is built, and steady-state thermodynamic analysis and static structure analysis are sequentially conducted on the grinding machine static pressure main shaft system; determining a steady-state temperature field and a structure thermally-induced deformation field when the grinding machine static pressure main shaft system operates to a heat balance state; transient simulation time parameters are determined based on the steady-state temperature field and the structural thermally induced deformation field, transient thermodynamic analysis and transient structural analysis are sequentially conducted on the grinding machine static pressure main shaft system, and the thermal deformation amount is determined; and constructing a mathematical mapping relation model between the temperature measurement value of the target temperature monitoring point in the grinding machine static pressure main shaft system and the thermal error component of the grinding machine static pressure main shaft by adopting a preset algorithm, and performing thermal error compensation on the grinding machine static pressure main shaft system. Accurate thermal error real-time compensation of the high-precision grinding machine can be achieved.

The invention relates to the technical field of intelligent management, in particular to a closed-loop management-based production process manufacturing execution system, which can find tiny deviation and deterioration trend of a process before a product has physical defects by comparing an injection curve with a standard curve in real time and evaluating the heat balance state of a mold, so that the production process is more accurate. A quality control node is greatly moved forward, and the risk of producing batch defective products is effectively reduced; according to the scheme, through the curve goodness of fit and the comprehensive evaluation index, quantitative management and control of the dynamic form consistency of the whole injection process are achieved; through the heat balance index, quantitative control over the uniformity and stability of the whole-field temperature of the mold is achieved, it is guaranteed that each mold of products are produced under the highly-consistent technological condition from the source, and the consistency of the products in the batches and between the batches is greatly improved.

The invention relates to the technical field of photovoltaic panels, in particular to a thermal stress prediction method for a rapid cooling process in a photovoltaic panel preparation stage, and the method comprises the steps: collecting an environment temperature value when a photovoltaic panel is cooled to room temperature and an environment temperature value when the photovoltaic panel is heated; measuring the thickness coordinate values of the lower and upper surfaces of each layer of material of the photovoltaic panel; setting the heat conductivity coefficient of each layer of the photovoltaic panel; and constructing a thermal stress prediction model of each layer based on the heat conductivity coefficient, the thickness coordinate and the temperature variation of each layer of material of the photovoltaic panel. According to the invention, analysis finds that each layer of material of the silicon crystal photovoltaic panel is in a heat balance state before and after cooling, the temperature of each layer is basically consistent with the environment temperature, and the cooling process is rapid; based on this observation, a complex transient problem is simplified to a steady state problem.

The application discloses a pseudo-pure state preparation method and device based on radio frequency field inhomogeneity. The pseudo-pure state preparation method comprises the following steps: performing a first unitary operation on a thermal equilibrium state of a nuclear magnetic resonance sample to obtain a first quantum state; performing a second unitary operation on the first quantum state, so that diagonal elements corresponding to nuclear spin polarization components in a density matrix of the first quantum state are rotated to a preset direction, and off-diagonal elements corresponding to nuclear spin polarization components are rotated to a direction perpendicular to the preset direction, to obtain a second quantum state; applying a radio frequency field with predetermined parameters to the second quantum state by using a radio frequency coil to perform a non-unitary operation, to obtain a third quantum state; and performing a third unitary operation on the third quantum state to rotate nuclear spin polarization components in the third quantum state to an initial direction, to obtain a pseudo-pure state of the nuclear magnetic resonance sample. The method does not need to use a gradient field, so that the preparation difficulty is reduced, and the preparation time is shortened.

The application discloses a swing angle milling head thermal error regulation and control device and method based on thermal equilibrium state discrimination, and relates to the technical field of precision numerical control machine tools.The application maps multi-source thermal characteristics and thermal deformation characteristics into discriminable thermal state quantities, and takes the state quantities as the basis for thermal error generation mechanism identification and control strategy selection.Firstly, a swing angle milling head adaptive machining method based on thermal error generation mechanism control is provided;key thermal characteristic values are compared with critical thermal threshold values;and state indexes output based on the thermal error generation mechanism.The application breaks through the limitation of traditional control relying only on temperature values, distinguishes compensable linear errors and uncontrollable nonlinear errors by identifying the thermal error generation mechanism, realizes treatment according to the disease, and avoids false alarms or omissions caused by fixed threshold values.

The application discloses a machine tool preheating control method and device, a machine tool and a readable storage medium, and relates to the technical field of machine tools. The method comprises the following steps: before starting the machine tool to perform a zero reset action, an environment temperature value and an environment humidity value are acquired by using a preset temperature and humidity sensor; the environment temperature value and the environment humidity value are used to determine a target temperature interval of each preset temperature control area; and a preset temperature control valve group is controlled in a preset manner to respectively deliver a liquid medium for temperature adjustment to the preset temperature control areas, so that the temperature of each preset temperature control area is adjusted to the corresponding target temperature interval. According to the application, the relative thermal equilibrium state of the machine tool can be achieved after preheating, and the machining precision of the machine tool is ensured.

This application discloses a heat exchange controller, system, method, electronic device, and storage medium for titration calorimetry. The heat exchange controller includes: a heat exchange unit; a temperature monitoring unit; and a control unit. The control unit is electrically connected to the heat exchange unit and the temperature monitoring unit. The control unit is used to continuously monitor the temperature of the reaction system through the temperature monitoring unit and repeatedly perform the following operations until a preset termination condition is reached: acquiring a temperature baseline value through the temperature monitoring unit, the temperature baseline value being the temperature of the reaction system in thermal equilibrium before the titration operation; performing the titration operation after the temperature baseline value is acquired; starting the heat exchange unit to exchange heat with the reaction system after the titration reaction ends; and controlling the heat exchange unit to stop heat exchange when the temperature of the reaction system recovers to a threshold range based on the temperature baseline value, i.e., when the reaction system is in a "quasi-isothermal" state.