42 results about "Thermal equilibrium" patented technology

The invention provides a spindle constant-temperature AI closed-loop heat engine system, and relates to the technical field of numerical control machine tool control and heat management. The invention aims to solve the problems of response lag, uncontrollable thermal stress, single heating strategy and the like of the traditional spindle heat engine method. The system comprises a multi-dimensional thermal state sensing module used for constructing a multi-node discrete temperature field representing the overall thermal distribution of the main shaft; the real-time heat balance feedback module is used for judging the cold / hot starting state of the main shaft according to the initial temperature difference and executing a differentiated feedback control strategy; and an AI prediction forward compensation module that predicts a future cutting thermal load by pre-reading a machining instruction and generates a feedforward thermal compensation instruction. According to the method, the thermal stress is controlled by introducing the radial thermal gradient index as the safety constraint, negative precooling or positive preheating is achieved in combination with the AI predictive capacity, a feedback and feedforward composite control mode is formed, and the dynamic thermal stability and the machining precision of the main shaft under the complex working condition are improved.

The invention provides an electrical equipment overheating hidden danger early warning method and system based on unmanned aerial vehicle multi-spectral imaging, and belongs to the technical field of power equipment state monitoring, and the method comprises the steps: firstly obtaining ultraviolet photons and spatial point cloud data collected by an unmanned aerial vehicle; a three-dimensional model is constructed based on the point cloud, and electric field distribution information is obtained through finite element analysis. And the photon data and the electric field information are combined, and the discharge charge quantity and distribution are obtained through space inversion correction. And calculating the discharge current density by using an energy dissipation model, and determining the discharge thermal power loss density in combination with the local electric field. And finally, a steady-state heat conduction equation is solved based on the heat conduction and dissipation parameters, temperature field distribution under heat balance is calculated, and early warning information is generated when the steady-state temperature exceeds a heat-resistant threshold value. According to the invention, early-stage accurate prediction and positioning of the hidden overheating fault of the electrical equipment caused by insulation degradation are realized.

The invention provides a refined calculation method for thermal equilibrium of a secondary pipe network. The refined calculation method comprises the following steps: S1, establishing an indoor comprehensive temperature calculation model of a building; s2, an outdoor comprehensive temperature calculation model is established, and time-average calculation optimization is carried out; s3, optimizing an indoor comprehensive temperature calculation model of the building, and eliminating system delay; s4, the theoretical building indoor comprehensive temperature is calculated, whether the building indoor set target temperature is met or not is judged, and pipe network thermodynamic equilibrium adjustment is conducted; and S5, evaluating the thermal equilibrium effect of the pipe network. Data resources of secondary pipe network supply and return water temperature, heating buildings and outdoor meteorological temperature are fully utilized, an indoor and outdoor temperature dynamic calculation model is established through heat balance theory analysis, thermal delay is considered synchronously, a system cooperative adjustment strategy is achieved, and system stability is improved.

This application proposes a bolt preload measurement system and method based on laser-electromagnetic ultrasound, relating to the field of bolt nondestructive testing. The measurement system includes a laser source, an ultrasonic probe, a signal conditioning module, a temperature module, a loading module, and a data processing module. The laser source generates pulsed laser light. The ultrasonic probe includes a long-axis housing and an electromagnetic ultrasonic transducer unit. The housing contains an incident light path and an outgoing light path. The electromagnetic ultrasonic transducer unit is located inside the housing near the end of the outgoing light path. The signal conditioning module preprocesses the ultrasonic waves received by the electromagnetic ultrasonic transducer unit. The temperature module acquires the bolt temperature in real time. The loading module applies an axial tensile load to the bolt when it is at thermal equilibrium temperature. The data processing module calculates the bolt preload based on the flight time of the preprocessed ultrasonic waves and the tensile load. This application enables non-contact, high-precision measurement of the preload of small-diameter bolts under extreme conditions.

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.

The invention provides a long-distance pipeline hydrostatic test innovation method and related equipment, and the method comprises the steps: carrying out the pressure test segmentation of a long-distance pipeline based on the related parameters of the long-distance pipeline, so as to obtain a first-stage pipe section; according to a water filling control condition, the pipe section of the stage is filled with water, so that a pipe section of a second stage is obtained; continuously injecting water into the pipe section in the second stage to increase the pressure of the pipe section in the second stage to thermodynamic equilibrium pressure to obtain a pipe section in a third stage; boosting the pipe section of the third stage to obtain a first detection result and a pipe section of a fourth stage; in response to the fact that the first detection result is qualified, the air existing amount in the pipe section is calculated, and a second detection result and the pipe section of the fifth stage are obtained; performing a sealing test on the pipe section in response to the fact that the second detection result is qualified so as to obtain a third detection result; and if the third detection result is qualified, determining that the quality of the long-distance pipeline is qualified. Through the method, the accuracy of quality detection of the long-distance pipeline can be improved.

The application discloses a kind of wind tunnel model surface friction stress global measurement method, the purpose is to friction stress global measurement, using coating heating mode to heat model surface, after reaching thermal equilibrium, the temperature distribution of model surface is obtained using high-precision infrared thermal imager, at specified position, using mature friction stress local measurement technology to obtain local friction stress, based on the friction stress and temperature distribution along streamline, the friction stress on the whole streamline is calculated;Using mature local friction stress measurement method and high-precision infrared thermal imaging technology to measure global friction stress, the measuring equipment is relatively simple, the model surface is heated by heating coating with constant power, the relationship between friction stress size and local temperature is established, the calculation method is relatively simple, the resolution of friction stress is higher, and the resolution of infrared image is equivalent, other flow field information can be obtained simultaneously.

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.

This invention provides a method and system for transmission line inspection and analysis based on digital twins. The method involves: using a digital twin object identifier as the core, uniformly solidifying the transmission line structure and constructing an initial static line structure model; based on continuously collecting multi-source sensing data and forming a time-series operational observation set, constructing a multi-physics coupled evolution model that simultaneously characterizes icing and melting, thermal equilibrium response, and mechanical evolution; identifying hidden risks by jointly discriminating the state evolution trajectory of key state variables and their historical reference distribution; and conducting parameterized perturbations and multi-scenario simulations to assess operational reliability risks. Finally, the risk development trend is reflected back into the spatial line model, generating forward-looking inspection and analysis results. This invention can perform line inspections on transmission lines that are under long-term alternating thermo-mechanical coupling conditions of icing and melting.

The application discloses a correction method and device for thermal equilibrium temperature in a gas chamber, equipment and a medium, relates to the technical field of gas chamber gas supplementing, and comprises the following steps: constructing a correlation model according to a multi-dimensional parameter sample, a theoretical value and an actual value of the thermal equilibrium temperature corresponding to the multi-dimensional parameter sample, wherein the theoretical value is a thermal equilibrium temperature value calculated by a multi-dimensional parameter space model; and substituting a target gas state parameter of a to-be-supplemented gas chamber, a target gas injection process parameter and a thermal equilibrium temperature calculated by the multi-dimensional parameter space model into the correlation model to obtain a corrected thermal equilibrium temperature of the to-be-supplemented gas chamber. By constructing a correlation model between the multi-dimensional parameters and the model calculation error, the calculation result of the multi-dimensional parameter model is corrected to obtain a more accurate thermal equilibrium temperature in the gas chamber during equipment gas filling, so that the gas filling amount is calculated based on the accurate thermal equilibrium temperature, the calculated gas filling amount is more accurate, and the insulation performance and operation reliability of GIS are ensured.

The application discloses a calculation method and device for thermal equilibrium temperature in a gas chamber based on multi-dimensional parameters, relates to the technical field of gas chamber gas supplementing, and comprises the following steps: constructing a multi-dimensional parameter space model based on gas state parameters and gas injection process parameters of the gas chamber, wherein the multi-dimensional parameter space model is used to calculate the thermal equilibrium temperature in the gas chamber when the gas chamber is filled with gas according to the gas state parameters and the gas injection process parameters; and inputting target gas state parameters and target gas injection process parameters of a gas chamber to be supplemented into the multi-dimensional parameter space model to obtain the thermal equilibrium temperature of the gas chamber to be supplemented calculated by the multi-dimensional parameter space model. Through the construction of the multi-dimensional parameter space model, the real-time calculation of the gas chamber temperature is combined with the multi-dimensional parameters related to the gas chamber, so that the thermal equilibrium temperature in the gas chamber to be supplemented is more accurate, the gas filling amount calculated based on the accurate thermal equilibrium temperature is more accurate, and the insulation performance and operation reliability of GIS are ensured.

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 application relates to a temperature difference compensation-based detector training method and relates to the technical field of CMOS detector training application, and solves the problems that, in the prior art, a long time is needed from the start of power-on of a detector to the temperature of a camera detector reaching thermal equilibrium and remaining unchanged, the camera efficiency is seriously affected, and the detected jump edge position in the bit correction process does not conform to the actual state, so that the sampling position is not the optimal position, and the like. Firstly, the temperature difference value at the working steady state and the initial working time and the detected jump edge corresponding delay tap value difference are measured, and then the corresponding tap value difference is compensated into the correction formula in the measurement process. In addition, for the application based on a double data rate input register IDDR, the sampling clock edge switching and the judgment of the number of detected jump edges are optimized.

The invention discloses a solid photo-thermal conversion efficiency measuring method and device based on a photoelectric equivalence principle. According to the invention, the photoelectric equivalence principle is utilized, and the heat dissipation property of the solid sample is investigated by simulating the temperature change under the light heating condition through electric heating; the method comprises the following specific steps: firstly, measuring the temperature evolution of a sample in an electric heating process, deriving a heat dissipation coefficient by performing linear fitting during heat balance, then measuring the temperature evolution of the sample in a photo-thermal process under the irradiation of a light source, and further obtaining the accurate photo-thermal conversion efficiency of the sample through a heat balance equation. The method is wide in applicability and suitable for measuring the photo-thermal conversion efficiency of solid samples such as inorganic nanocrystals and organic materials.

The invention provides a fluid transmission equipment fault diagnosis and energy efficiency optimization method and system in order to solve the problem that in the prior art, only surface feature monitoring of a single type of faults is focused, and effective correlation between equipment mechanical operation abnormity, heat balance state change and energy consumption fluctuation is not established, so that fault diagnosis and energy efficiency optimization are separated from each other. The invention relates to the technical field of information. According to the fluid transmission equipment fault diagnosis and energy efficiency optimization method and system provided by the invention, the limitation of single characteristic monitoring in the prior art is broken through by synchronously acquiring the mechanical offset data and the thermal anomaly data; key frequency points and periodic features of equipment stability change are accurately extracted, acute capture of early fine anomalies is realized, and the problem that early hidden danger recognition is insufficient in a traditional method is effectively solved. A deep coupling relation between faults and energy consumption anomalies is established through synchronous analysis of thermal anomalies and mechanical offset data.

The embodiment of the present application discloses a laser annealing method and device. The object to be annealed includes a compensation area and a non-compensation area. The laser annealing method includes: compensating the output energy density value of a laser module when annealing each compensation point in the compensation area, so that the highest annealing temperature of the compensation area is the same as the thermal equilibrium temperature of the non-compensation area. The technical scheme provided by the embodiment of the present application can increase the effective annealing area and improve the device yield.

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 invention discloses a non-thermal equilibrium porous medium model numerical simulation method based on a Fluent UDS function. The non-thermal equilibrium porous medium model numerical simulation method comprises the following steps: 1) geometric modeling and grid division; aiming at a research object, constructing a calculation geometric model containing a porous medium domain and a non-porous medium domain; 2) activating the heat balance porous medium model; 3) setting a porous medium resistance parameter; 4) adjusting physical property parameters of the porous medium; 5) constructing a UDS equation; 6) associating the UDS with a solver; 7) setting boundary conditions of the UDS; according to the method for achieving numerical solution of the non-thermal-equilibrium porous medium model based on the Fluent thermal-equilibrium porous medium model and the UDS function, simulation of the porous medium heat transfer process is achieved under the condition that the non-thermal-equilibrium porous medium model of the Fluent is not used.

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.

This application belongs to the field of space electric propulsion, specifically relating to a heating method for a propellantless cathode. The method employs constant-pressure and constant-power modes to heat the propellantless cathode, dividing the heating process into multiple stages. The heating voltage is calculated based on the desired power for each stage, and heating is carried out for a corresponding period. After completing the multi-stage constant-pressure heating, the method switches to constant-power heating mode, adjusting the propellantless cathode heating voltage to equal the set rated heating power. This method effectively reduces the thermal instability of the propellantless cathode heating and enhances its performance. In constant-power heating mode, because the input heating power remains constant, the temperature of the propellantless cathode eventually stabilizes over time due to the zeroth law of thermodynamics, i.e., the law of thermal equilibrium, thereby reducing thermal instability and noise caused by the thermal performance of the propellantless cathode.

The present application relates to the technical field of power equipment fault diagnosis and state monitoring, in particular to a distribution box overheating fault prediction reasoning method based on time series data analysis, comprising: synchronously collecting distribution box electric parameter time series data, environmental parameter time series data and multi-point temperature time series data; generating ideal temperature time series baseline of each monitoring node under healthy state based on electric parameters and environmental parameters; generating theoretical temperature time series of different fault types and evolution stages by using thermal evolution simulation model based on fault mechanism parameters; constructing actual residual time series vector and theoretical residual time series vector; calculating comprehensive time series similarity, and outputting fault type, evolution stage and confidence result in combination with confirmation threshold and exclusion threshold; correcting ideal thermal equilibrium benchmark model or fault mechanism parameters according to confidence result; the present application can separate normal load thermal effect and abnormal thermal effect, and realize robust and interpretable prediction reasoning of early overheating fault.

The utility model discloses a simulation galvanometer driving circuit which comprises a controller module, a driver module, an internal preheating module, an actuator module and an external water cooling module. The controller module is connected with the driver module, the driver module is connected with the actuator module, one end of the internal preheating module is connected with the controller module, the other end of the internal preheating module is connected with the driver module, one end of the external water cooling module is connected with the controller module, and the other end of the external water cooling module is connected with the driver module. After electrification, a heating system is used for heating a power device or a device with increased temperature in advance, so that the temperature difference between the temperature in system operation and the temperature before operation is kept within 5 DEG C. A driver is improved on the basis of an existing driving scheme, and the laser marking application precision is improved. The heat balance effect is improved, and the driver precision and the product precision are improved.

The invention relates to the technical field of hydrogen production through water electrolysis in the hydrogen energy technology, in particular to a modularized thermal management system and method for hydrogen production electrolytic baths, and the modularized thermal management system comprises a thermal conversion module which is used for collecting and quantifying the heat state of each hydrogen production electrolytic bath and each gas-liquid separator; the thermal conversion module comprises an acquisition group and a control group, wherein the acquisition group is used for respectively acquiring the unit time gas production rate and tank body temperature of a hydrogen production electrolytic tank, the gas outlet temperature of a gas-liquid separator and the liquid outlet temperature of the gas-liquid separator; the quantification unit determines the heat abnormal degree in the hydrogen production process in real time based on the collection data of the collection group and quantifies and outputs the heat abnormal degree; the heat management module selects and executes a heat balance control mode or a capacity control mode based on the heat abnormal degree; by fusing the four-dimensional parameters of the whole process, calculating the heat abnormal degree in real time, selecting the corresponding control mode and not damaging the unique abnormal recognition mode of the hydrogen production process, the overall performance of heat management is effectively improved, and the limitation that heat management is carried out only in a certain single process is avoided.

This invention discloses a method for thermal equilibrium testing of a CubeSat, comprising: thermally modifying a prototype CubeSat; calculating the characteristic point temperatures of the modified prototype CubeSat under high and low temperature conditions; constructing a thermal equilibrium testing system and placing the modified prototype CubeSat within the system; obtaining the thermal equilibrium test boundary temperatures under high and low temperature conditions based on the characteristic point temperatures of the modified prototype CubeSat under high and low temperature conditions, respectively; and conducting a thermal equilibrium test based on the thermal equilibrium test boundary temperatures under high and low temperature conditions. This invention has the advantages of accurate testing, low cost, high reliability, short cycle time, and large-scale production.

An information processing apparatus expands an imaginary time evolution equation for calculating a thermal-equilibrium expectation value into equations of a plurality of degrees, generates sets of the degrees, and generates, for each set, a quantum circuit indicating quantum computation of a physical quantity value obtained by partial imaginary time evolution. A quantum computer is caused to repeatedly execute quantum computation based on the quantum circuit for each set. When doing so, a state in a stationary distribution of measurement results obtained by quantum computation based on a second quantum circuit corresponding to a second set is used as an input state at the start of quantum computation based on a first quantum circuit corresponding to a first set. The thermal-equilibrium expectation value of the physical quantity at the finite temperature is then calculated based on the values of the physical quantity after convergence for each set.

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 invention provides a method and a device for steady-state in-situ measurement of emissivity of a material, and the method comprises the following steps: constructing a sample assembly integrating a heater and a thermocouple, and suspending the sample assembly in a high-vacuum constant-temperature chamber; by applying current input power, temperature change is monitored until heat balance, and input net power, sample surface temperature and environment temperature are recorded; systematically changing the power to stabilize the sample at different temperatures to obtain a series of data points; and finally, performing function fitting based on a Stefan-Boltzmann law to obtain the full-wave band emissivity of the material at a specific environment temperature. According to the method, non-radiant heat loss is physically isolated, an accurate one-dimensional axial heat flow and surface radiation energy conservation relation is established, in-situ and continuous measurement of the emissivity in a wide temperature region is realized, the defects that a temperature region and a wave band are limited and are easily influenced by a surface state and the like in a traditional method are effectively overcome, and the measurement accuracy is improved. And a data basis can be provided for accurate thermal management in the fields of thermoelectric materials, aerospace thermal control and the like.

The application discloses a kind of electrolyte low temperature conductivity test method, controller, medium and product, it is related to electric variable measurement field.Method includes: in response to test channel temperature reaches target low temperature value, obtains conductivity-time sequence and carries out differential processing, obtains first-order change rate sequence and second-order change acceleration sequence;When sequence meets the quasi-steady condition that first-order rate and second-order acceleration are less than preset threshold value, extract quasi-steady data segment;According to preset evolution function model, the quasi-steady data segment is nonlinearly fitted, and target evolution function is constructed;Finally, the limit value of function when time tends to infinity is calculated as the predicted conductivity.The application aims to solve the problem of long test cycle and non-steady state misjudgment caused by the long and slow change of thermal equilibrium process in traditional low temperature test, by multidimensional derivative determination and model extrapolation prediction, the intrinsic conductivity is accurately obtained when physical thermal equilibrium is not reached, and the detection efficiency and accuracy of electrolyte low temperature conductivity are improved.