99 results about "Temperature response" patented technology

The invention relates to the technical field of self-adaptive control, and discloses a self-adaptive temperature control method and system for an automobile heater, and the method comprises the steps: calculating the real-time temperature deviation and temperature change rate of an actuator according to multi-dimensional temperature data; thermal inertia dynamic analysis is carried out on the historical heating power and temperature response relation through a preset thermal inertia compensation function, and a thermal inertia index of the actuator is obtained; the real-time temperature deviation, the temperature change rate and the thermal inertia index are jointly input into a preset fuzzy PID controller, and a preliminary power adjustment instruction of an actuator is output; analyzing the temperature change trend of the actuator in the time period, and performing prospective correction on the initial power adjustment instruction based on the temperature change trend; and controlling an actuator to execute heating operation according to the temperature control instruction, collecting real-time feedback temperature after the heating operation is executed, and performing joint online correction on parameters of the thermal inertia compensation function and a prediction coefficient of the time sequence model according to the real-time feedback temperature. According to the invention, the accuracy of self-adaptive temperature control of the heater can be improved.

The invention relates to the technical field of wire performance detection, and discloses a wire high temperature resistance detection method, device and equipment and a storage medium. The method comprises the following steps: arranging micro thermocouple array sensors on the surface, the bending part and the connecting point of an outer insulating layer of a to-be-measured wire rod to obtain a wire rod temperature monitoring network; placing the to-be-tested wire rod in a constant-temperature box to execute a high-temperature cyclic loading test, and collecting real-time temperature response data of the to-be-tested wire rod; carrying out temperature gradient analysis and heat distribution characteristic calculation to obtain a temperature change characteristic parameter set; executing temperature fluctuation compensation and thermal stress accumulation calculation to obtain thermal stress characteristic parameters; and carrying out aging characteristic analysis on the wire insulating material through the thermal stress attenuation network model to obtain wire predicted life and failure probability distribution of the to-be-tested wire in a high-temperature environment. The method can comprehensively capture the temperature change characteristics of each part of the wire rod, and achieves the precise prediction of the failure probability of the wire rod under different temperature conditions.

The invention relates to the technical field of facility management, in particular to a prediction-driven data center thermal resistance control system which comprises an airflow response acquisition module, a thermal hysteresis offset correction module, a heat flux trend extraction module, an air volume priority allocation module and an airflow execution verification module. According to the method, through extraction and sorting of air supply trigger time and thermosensitive node temperature response differences, the temperature control sensing precision is improved, the corrected time sequence is input into the model, the prediction accuracy is enhanced, and dynamic identification of the high-heat-load area and the early warning capability are enhanced in combination with the area temperature change trend and the heat dissipation capability upper limit; the distribution sequence is sorted according to the heat flux trend and the air volume resource relation, the air volume allocation efficiency and the matching degree are improved, the temperature change trend is compared after execution, the adjusting effect reliability is improved, a data closed loop with response recognition, trend extraction, resource sorting and feedback verification as the core is constructed in the whole process, and the initiative and stability of system heat management are enhanced.

The invention provides a rotary table bearing-torque motor thermal vibration coupling modeling method, and relates to the technical field of machine tool reliability analysis. Comprising the steps of calculating bearing restoring force, torque and elastic rigidity; giving a dynamic balance equation of the main shaft system; unbalanced magnetic pulling force and unbalanced mass excitation are calculated; a displacement field is solved, and load changes caused by the displacement field are transmitted to the thermal model; the contact force borne by the bearing is updated by considering the load effect related to displacement, and the friction heat generation of the bearing and the heat generation of each part of the motor are calculated; calculating thermal deformation and thermal displacement of the bearing; thermal resistance among nodes is calculated, and a temperature field equilibrium equation is given through a thermal resistance network to achieve rapid thermal-mechanical coupling analysis; the thermal equilibrium equation is solved to calculate temperature response; importing the latest temperature into the kinetic model; lubricating grease viscosity and bearing thermal deformation are updated; and repeating the steps to finally obtain the main shaft displacement field and temperature field response. The method is high in accuracy, high in universality, low in test cost and high in test efficiency.

The invention discloses a method for identifying micro-leakage of a shaft by using distributed temperature gradient sensing data, which comprises the following steps of: acquiring original temperature data of a continuous time sequence of different depths of the shaft through a distributed temperature sensing device, and transmitting the original temperature data to a Modin distributed sensor data processing platform; the platform divides and distributes the data and screens abnormal data; calling a temperature field dynamic evolution prediction algorithm to calculate a predicted temperature value of each depth at each moment; starting a temperature gradient space-time correlation detection algorithm, comparing the predicted temperature with the actual temperature to obtain a deviation sequence, and analyzing and extracting temperature gradient change characteristics; an ultrasonic excitation thermoelastic effect recognition model is applied, ultrasonic excitation is applied, temperature response data are collected, and whether micro leakage exists in the shaft or not and the specific position are determined through comparison and analysis of the incidence relation between the thermoelastic effect and the temperature gradient change. According to the method, an efficient and reliable solution is provided for shaft micro-leakage identification, safe operation of the shaft is guaranteed, and stratum pollution and resource waste are reduced.

The invention discloses a temperature measurement method and a temperature measurement nut, and belongs to the technical field of equipment temperature measurement. According to the method, the dynamic thermal radiation interference coefficient calculation model is constructed through the historical temperature measurement data and the equipment operation parameters, so that the dynamic acquisition of the dynamic thermal radiation interference coefficient can be realized based on the real-time temperature measurement data, and the real-time temperature measurement data is corrected to obtain the corrected temperature measurement data; performing spectral analysis on the real-time temperature measurement data to determine a thermal radiation change frequency correction coefficient, constructing a temperature response function based on the real-time temperature measurement data, and further determining a thermal response time constant based on the temperature response function; and then thermal inertia lag compensation processing is carried out on the corrected temperature measurement data through a thermal radiation change frequency correction coefficient, a thermal response time constant and equipment operation parameters to obtain actual temperature data of the to-be-measured equipment, so that the problem of inaccurate temperature measurement in a high-temperature environment in the prior art can be solved. And the accuracy of temperature measurement in a high-temperature environment is improved.

The invention relates to the technical field of material surface quality nondestructive testing, and discloses a rapid identification method for surface microdefects of a copper alloy strip, which comprises the following steps: firstly, applying a specific time sequence thermal excitation sequence to a surface to be detected, the sequence comprising a state pre-excitation pulse for inducing nonlinear response of thermal physical properties of a material; secondly, synchronously acquiring whole-process dynamic thermal response under the action of thermal excitation, and constructing a thermal response data cube; thirdly, extracting a time-temperature response curve for each pixel point in the data cube, and calculating a multi-dimensional dynamic thermodynamic feature vector; and finally, inputting the feature vector into a pre-trained supervised learning classification model to obtain a pixel-level classification label, and performing post-processing to determine the type, position and size of the defect. According to the method, the nonlinear and spectral response difference of the material is deeply excavated, the feature vector with high discrimination degree is constructed, and the detection sensitivity and classification accuracy of micron-sized physical and chemical defects can be effectively improved.

The invention relates to a fluid temperature and velocity co-measurement method and system based on iterative optimization phosphorescent particle tracking. The method comprises the following steps: dispersing phosphorescent tracer particles in fluid, and carrying out preprocessing operation on an acquired image to obtain a particle phosphorescent signal image; and deeply analyzing the processed image based on a spherical particle light spot integral discretization light intensity function, and determining the position of the tracer particle and phosphorescence intensity information. Meanwhile, the cross-frame matching technology is used for tracking the particles, and a particle motion trail and a phosphorescence intensity attenuation curve are obtained. And calculating the speed of each particle according to the particle motion trail, and processing the phosphorescence intensity attenuation curve according to the temperature response characteristic of the phosphorescence lifetime to obtain the temperature of each particle. And finally, performing post-processing on the speed and temperature data of each particle to realize synchronous measurement of the speed and temperature of the fluid so as to obtain fluid speed-temperature field data. High-precision measurement can be realized in a large-scale unsteady flow field, and a fluid flow and heat transfer coupling mechanism can be deeply explored in an assisted manner.

The invention provides a temperature distribution inversion method based on a multi-vertex grid and a high-robustness error functional, and the method comprises the steps: 1, obtaining a temperature gradient change rule of a measured structure under a typical thermal load condition, and determining a three-dimensional multi-vertex grid division scheme and a temperature sensor layout form of the measured structure; step 2, establishing an m vertex grid basis function model, and constructing a conversion matrix between a regular grid and an irregular grid; 3, establishing a high-robustness error functional between the theoretical temperature of the centroid position of each surface of the m-vertex grid and the actually measured temperature of the sensor; 4, a temperature matrix equation containing a temperature coefficient matrix and a temperature amplitude matrix is constructed, temperature vectors of all grid vertexes are solved, the m-vertex grid basis function model is combined, three-dimensional temperature distribution in the structure space is inverted, and according to the method, only few sensors need to be adopted, the global temperature response of the structure can be obtained, and the inversion precision is high; the method is simple, convenient and high in real-time performance.

The invention provides a heating radiator phase change energy storage real-time control method, which comprises the following steps: according to an obtained energy storage state distribution condition, analyzing a thermal load distribution deviation between each group of heating radiators, calculating a deviation ratio between the actual power and the average power of each group of heating radiators, comparing the deviation ratio value by adopting a preset threshold range, and determining the phase change energy storage of each group of heating radiators. Determining the thermal load distribution deviation ratio of each group of heating radiators; according to the optimized power distribution scheme, an adjustment instruction is sent to a control unit of each group of heating radiators, first-time energy storage state detection is carried out, real-time power execution feedback data and temperature response data of a phase change material are obtained, and whether the adjusted heat supply power reaches a balance state or not is determined; and according to the judged synchronous control deviation degree, the energy storage progress is dynamically corrected, and synchronous operation parameters of each group of heating radiators are obtained by optimizing the latent heat release rate of the phase change material in real time.

The present application relates to the technical field of electric tracing heating systems, and specifically relates to a method, device and system for operating and controlling an electric tracing heating system, which specifically includes: analyzing the severity of the heat compensation imbalance condition of the electric tracing caused by external strong convection and PTC characteristics, and constructing a heat compensation imbalance degree of the electric tracing; analyzing the heat compensation lag condition of the electric tracing for the heated body caused by heat inertia, and constructing a compensation response lag of the electric tracing; combining the two to construct a temperature compensation factor, obtaining the proportional term of the PID control system in the next control interval, and adjusting the power of the electric tracing heating system, reducing the heat compensation lag of the electric tracing heating system under unstable convective heat dissipation conditions, avoiding the drawback that the power output of the electric tracing heating system is frequently adjusted due to the influence of temperature response compensation lag, resulting in local overcooling of the heated body, and improving the temperature stability of the heated body.

The invention provides an illumination radiation heat load dynamic prediction and compensation control method and system based on multispectral perception, and the method comprises the steps: collecting the illumination intensity of each indoor wave band in real time through a multispectral sensor, constructing a spectrum space coupling mapping model through combining the geometric structure, material absorptivity and incident angle information of a heat absorption surface, and carrying out the dynamic prediction and compensation of the illumination radiation heat load. Calculating an equivalent radiation heat disturbance quantity; thermodynamic parameters are fused to establish a thermodynamic prediction model, and the future room temperature change trend is predicted; identifying whether the disturbance type is a stationary type or a mutation type by analyzing the dynamic relationship between the thermal disturbance sequence and the temperature response; and a heat pump compensation control instruction is generated, and advanced adjustment is achieved. The problems that a traditional temperature control system is delayed in response to illumination thermal disturbance and inaccurate in recognition are solved, and the thermal comfort and the energy efficiency level are remarkably improved.

The invention relates to the technical field of on-line aging, in particular to an on-line aging method and system for a projector, and the method comprises the following steps: dividing temperature sections through an aging chamber, carrying out the aging of the projector, collecting temperature change data, calculating the temperature change rate, response delay and phase difference fluctuation, and generating a thermal response data set; temperature response delay and phase difference abrupt change are identified, a thermal response index is calculated, aging is suspended and temperature control is adjusted when a threshold value is not reached, temperature zone aging is switched, aging is terminated when response is weak, a temperature zone record set is generated, and a change interval is counted to generate an aging result. According to the method, the adaptability is dynamically judged by continuously collecting temperature data, calculating thermal response parameters and generating response indexes through normalization, aging is suspended and temperature adjustment intervention is carried out when the indexes are low and continuous, and when the indexes are met, temperature zones are switched, response trends and aging tracks are archived and converted into thermal response for aging, so that the sensing and intervention precision is improved.

The invention discloses a cutting machine motor intelligent temperature management method and system based on load prediction, relates to the technical field of cutting machine motor temperature management, and is used for solving the problems of temperature response lag and local overheating under the conditions of complex tracks and load fluctuation. In the operation process of the cutting machine, three-phase stator side current signals of the motor are continuously captured, a current vector input quantity is obtained through coordinate transformation and input into the sliding mode observer to estimate the rotor position and the motor rotating speed, a load trend quantity is generated, combined compensation modulation is carried out, and a compensation value is output to a power output link to dynamically adjust the duty ratio. According to path analysis, marking a hot stacking sensitive path section, calculating a power output change rate and shielding wind flow disturbance intensity, screening out a thermal response to-be-detected section, collecting data through a thermosensitive channel to construct a regional thermal risk index, executing differential air cooling adjustment and power modulation path adjustment, and recording state data in real time; and fine management of the full-working-condition temperature of the motor of the cutting machine is realized.

The embodiment of the invention provides an intelligent heating method and device based on machine learning and electronic equipment, and the method comprises the steps that preset temperature adjustment operation on indoor temperature is controlled, the temperature change condition of the indoor temperature is obtained, and the temperature response performance of a room is determined; acquiring a preset target temperature, determining a regulation and control temperature and a time pre-threshold thereof according to the target temperature and the temperature response performance, and determining a target control strategy according to the temperature response performance and the regulation and control temperature; acquiring an environment state in real time, identifying the environment state through a pre-trained environment identification model, updating the temperature response performance, and adjusting the target control strategy through the updated temperature response performance; according to the method provided by the embodiment of the invention, through accurate thermal energy compensation, the indoor temperature can be always kept within a set numerical value or range, and discomfort caused by large-range fluctuation of the temperature is reduced.

The application discloses a driving motor temperature estimation method based on machine learning and double Kalman filtering and relates to the technical field of motor temperature monitoring and control. The application comprises the following steps: constructing a finite element simulation model, collecting motor loss data and temperature response data under multiple working conditions through finite element simulation, and constructing an offline parameter database through a physical information machine learning method; based on the offline parameter database, a second-order lumped parameter thermal network model is constructed, and the second-order lumped parameter thermal network model is converted into a linear parameter variation state space model. The application switches parameters in real time through an LPV model, dynamically corrects model errors in combination with a double Kalman filter, overcomes parameter drift caused by temperature and rotating speed, and solves the problem that the precision of an offline modeling open-loop estimator is insufficient and accurate real-time estimation under all working conditions cannot be realized due to modeling errors, time-varying thermal parameters and other reasons in the traditional rotor temperature estimation method under wide-range complex operating conditions of an electric vehicle.

The invention discloses an underground water-surface water lateral exchange flux fine inversion method and system, and belongs to the technical field of hydrogeological monitoring. The method comprises the following steps: acquiring actually measured temperature response data of an active heating optical fiber arranged along a riparian zone in an active heating process; constructing an underground water-thermal coupling numerical model for representing the site; an ensemble data assimilation algorithm is adopted, stratum prior information obtained by analyzing an optical fiber drilling rock core is combined, actually measured temperature data and simulated temperature data are compared through iteration, and non-homogeneous-mass hydrogeological parameters are obtained through inversion; and finally, carrying out numerical simulation based on the high-precision parameters, and calculating to obtain the lateral exchange flux. According to the method, the active heating optical fiber test and the improved integrated smooth multi-data assimilation algorithm are fused, so that the lateral exchange flux can be described with decimeter-scale resolution and high precision, and key technical support is provided for water resource management and environmental protection.

The invention discloses an Ebnite rubber roller production method based on temperature and pressure intelligent regulation and control, and relates to the technical field of rubber roller production, and the method comprises the following steps: constructing a temperature collection credibility function according to a local temperature abnormal distribution matrix, carrying out fitting comparison on the temperature response of each collection point and a target temperature rise curve, and obtaining a target temperature rise curve; and generating a credibility index for judging the credibility of the temperature data, and correcting the judgment logic of temperature acquisition according to the abnormal change of the local temperature under the condition of abnormal heat conduction caused by air resistance in the vulcanization heating process. The problem of temperature control misjudgment caused by abnormal local heat conduction due to formation of air resistance in the vulcanizing and heating process of the Ebnite rubber roller is solved, dynamic identification and self-adaptive regulation and control on abnormal temperature and pressure are realized, sufficient vulcanization, uniform structure and stable performance of each area of the rubber roller are ensured, and the product quality and the service reliability are improved.

The invention provides an intelligent monitoring method and system for an electronic detonator continuous production line. The method comprises the following steps: performing continuous temperature field scanning on the surface of the injection mold to obtain gradient change data; driving a temperature response unit array configured by the mold to execute subarea phase change triggering, absorbing heat of a local overheating area and generating a phase change completion degree quantization parameter; analyzing and positioning a heat-flow density abnormal region by using a thermal resistance network, and performing spatial topological correlation processing to generate a heat-flow density deviation distribution diagram; executing multi-objective optimization on a cooling channel airflow controller to generate a self-adaptive airflow distribution instruction set; and path planning is conducted on the air cooling execution mechanism, and a mold temperature production line regulation and control parameter set is generated. According to the technical scheme provided by the invention, through three-stage cooperation of zoning phase change temperature control, explosive chamber safety association and multi-target airflow optimization, the mold temperature balance control is realized while the thermal shock risk of the detonator charging area is avoided.

The invention provides a power load monitoring data fusion method, device and equipment and a storage medium, and the method comprises the steps: firstly obtaining power load multi-source data containing meteorological elements, and constructing a power physical constraint branch according to the data; a differential equation module is used for modeling a temperature response curve, a delay integral module is used for simulating a rainfall penetration process, and physical rule dynamic weights are generated and set as gating signals. And the gating fusion unit is controlled to output the weight through the signal, so that load monitoring physical rule embedding is realized. According to the method, a power physical constraint branch is constructed, a temperature-power relation and a precipitation hysteresis effect are modeled by a specific module, a dynamic weight driving gating signal is generated, a physical rule is embedded into a fusion model, and the accuracy and generalization of load monitoring are improved.

The invention relates to a photovoltaic energy storage power station intelligent operation and maintenance method and system based on multi-modal data fusion. The method comprises the steps of obtaining current change data corresponding to a current change event; based on the current change data and the thermal characteristic parameters of the photovoltaic module, determining the thermal response characteristics of the photovoltaic module; determining cloud shadow moving characteristics according to the meteorological radar data; based on the cloud shadow movement characteristics and the thermal response characteristics, calculating thermal inertia compensation parameters triggered by the energy storage system in response; according to the thermal inertia compensation parameters and the current change data, generating a theoretical temperature response curve containing response characteristics of the energy storage system; obtaining infrared thermal imaging data considering the photovoltaic module, comparing the time sequence relation of the infrared thermal imaging data with the time sequence relation of the theoretical temperature response curve, and detecting a temperature anomaly event; and carrying out feature analysis on the detected temperature anomaly event, and distinguishing whether the temperature anomaly event is a real hot spot fault or temperature anomaly caused by thermal inertia in combination with a current recovery feature in the current change data.

This application provides an integrated temperature-sensitive thermal barrier protection A2B2O7 ceramic material, its preparation method, and its application, which possesses A... 2‑ a The B2O7:aX material has a general structural formula and a crystal structure that is defective fluorite, pyrochlore, or a mixed two-phase structure. Doping with two or more types of luminescent ions allows for temperature measurement based on the fluorescence intensity ratio of non-thermally coupled energy levels, overcoming the limitations of relative sensitivity in traditional thermally coupled energy level temperature measurement. It utilizes the anti-thermal quenching or low-thermal quenching effects of the luminescent ions to extend the upper limit of temperature measurement, and the different temperature response characteristics of different luminescent ions enhance relative sensitivity. This material can be directly used to prepare a dual-function integrated coating for temperature sensing and thermal barrier protection, eliminating the difficulties of externally mounted sensors, avoiding damage to the coating integrity, and simplifying the complex layout of functional layers. It achieves the integration of thermal barrier protection and high-temperature sensing functions, providing a forward-looking solution for the safety assurance and condition monitoring of components operating in extreme high-temperature environments such as aero-engines and gas turbines.

The invention provides a postpartum fumigation conditioning device for the obstetrics department and a control method of the postpartum fumigation conditioning device. Thermal field gradient tensors of all thermal therapy subareas are constructed through temperature data of all the thermal therapy subareas in a fumigation box, and heat flow distortion distribution in the fumigation box is determined based on all the thermal field gradient tensors; constructing a state transition matrix of heat flow in the fumigation box based on thermodynamic states in steady-state periods in all temperature data in combination with heat flow distortion distribution; generating a characteristic distribution diagram of a steam flow field in the fumigation box according to the point cloud data of the body contour of the puerpera, and determining a dynamic flow field disturbance tolerance of each thermal therapy subarea by combining the characteristic distribution diagram with temperature response curves of disturbance periods in all temperature data; based on the state transition matrix and all the dynamic flow field disturbance tolerances, the power of heaters in all the thermal therapy subareas in the fumigation box is adjusted. According to the scheme, the heat flow coupling relation in the fumigation box can be quantified by combining the physical characteristics of the puerpera and the dynamic characteristics of the steam flow field so as to adaptively adjust the power of the heater.

Provided are a temperature measurement method, a thermophysical property value calculation method, and an object interior search method that make it possible to determine a thermophysical property value of a substance under measurement for each timing by using time series measurement data of the substance under measurement and a parameter value for each timing. A temperature measurement method according to the present invention, in which a substance under measurement having an unknown thermophysical property value is heated under a constant heating condition and the temperature of the heated surface is measured, comprises: a step for recording temperature responses of at least two standard substances being heated in time series, the standard substances having known thermophysical properties; a step for determining, for each timing, a parameter value derived from at least two temperature measurement devices 10, the parameter value being used to calculate the thermophysical property value of the substance under measurement on the basis of the recorded time series data; a step for then measuring the temperature response of the substance under measurement in time series as the temperature is changed; and a step for determining the thermophysical property value of the substance under measurement for each timing by using the time series measurement data of the substance under measurement and the parameter value for each timing.

The invention discloses a wafer annealing thermal management control system, and relates to the technical field of annealing thermal management. The method comprises the steps of calculating an error variable by acquiring temperature information of a target wafer in real time; determining a fuzzy image according to the error variable and a preset membership function; calculating a coefficient adjustment value according to the fuzzy image; setting the reference coefficient according to the coefficient adjustment value to obtain a target scale factor; and a PID control algorithm is adopted, and the heating power is calculated according to the target scale factor and the temperature difference value. Through combination of temperature acquisition, fuzzy control and self-adaptive PID adjustment, the problems of temperature response delay, overshoot oscillation, poor anti-interference capability and the like in traditional control are effectively solved. The system performs fuzzy reasoning based on the temperature difference and the change rate thereof, dynamically adjusts PID parameters, and optimizes an initial coefficient through a particle swarm and simulated annealing hybrid optimization algorithm, so that high-precision and high-robustness temperature control adjustment is realized, and the temperature control precision is remarkably improved.

This application relates to the field of aluminum profile extrusion technology, specifically disclosing a method and system for controlling liquid nitrogen cooling of aluminum profile extrusion dies. The method includes the following steps: continuously collecting multi-source temperature data and operating status data of the extrusion production line within a preset historical period; establishing a mapping relationship between operating status and temperature response, and predicting the operating status change sequence; generating die temperature prediction curves and profile temperature prediction curves based on the operating status change sequence and the mapping relationship; calculating the deviations from the corresponding preset temperature control targets, generating die cooling demand curves and profile cooling demand curves, and adjusting the injection strategy of the liquid nitrogen injection device to perform cooling intervention in advance. The technical solution of this application can calculate the cooling demand curve matching future heat load changes in advance and drive the liquid nitrogen injection device to perform forward-looking flow and mode adjustments, overcoming the response lag problem caused by thermal inertia in traditional control.

The invention belongs to the technical field of pressure detection instruments and meters, and relates to a mechanical differential pressure indicator structure based on temperature response, which comprises a shell made of a non-magnetic material and internally provided with a large cavity and a small cavity which are coaxial and separated; one end of the small cavity is open; a radial through hole is formed in the bottom of the large cavity and is connected with second oil pressure; the large magnetic column assembly is arranged in the large cavity, a lower cover plate is installed at the opening end of the large cavity, and a large spring is arranged between the lower cover plate and the large magnetic column assembly; the small magnetic column assembly is arranged in the small cavity, and a small spring is arranged between the small magnetic column assembly and the bottom of the small cavity; the temperature-sensitive blocking piece assembly is arranged at the end of the small magnetic column assembly, the temperature-sensitive blocking piece assembly axially limits the small magnetic column assembly in the first temperature range, and axial limiting of the temperature-sensitive blocking piece assembly on the small magnetic column assembly disappears in the second temperature range.

This invention discloses a continuous conductivity measurement method and system for a hydrophobic recovery sampling branch under cooling conditions, relating to the field of conductivity measurement. It collects sample water temperature, conductivity electrode internal temperature, and flow rate data during the hydrophobic recovery sampling branch cooling process, establishing a dynamic time series reflecting thermal response lag. Based on the time series characteristics, the electrode temperature response rhythm is adjusted to determine the gradual change zone and extract time nodes to construct a synchronous compensation benchmark. The flow rate rhythm is adjusted in conjunction with the time nodes in the gradual change zone, achieving dynamic temperature alignment through flow delay. Under aligned conditions, the weights of the temperature compensation curve are redistributed, shifting the lagging temperature nodes to instantaneous nodes. The conductivity signal is smoothed based on the compensation results, eliminating instantaneous errors. This invention achieves time synchronization between temperature compensation and the actual sample water temperature through time series and flow rate control, ensuring that the conductivity results accurately reflect water quality changes. Furthermore, continuous smoothing control eliminates instantaneous fluctuations, improving the reliability and accuracy of online monitoring.

The invention discloses a multi-stage iterative optimization thermal protection structure thermophysical parameter identification method and system, and relates to the technical field of aerospace thermal protection structure thermophysical parameter identification. The method comprises the following steps: receiving local actual measurement transient temperature response data, wherein the actual measurement transient temperature response data is obtained by carrying out a heat conduction test on the basis of an integral thermal protection structure; a test piece transient heat conduction numerical analysis model with the thermophysical parameters as variable input and the local temperature as response output is constructed and serves as a solver for measuring point temperature response under the different thermophysical parameters of the integral thermal protection structure; the mean square error of the local actual measurement transient temperature response and the numerical analysis solving response is used as a target function. Based on the proposed multi-stage iterative optimization framework, efficient and accurate identification of anisotropic temperature change thermophysical parameters of the thermal protection structure is realized, and the problem of poor identification convergence stability is solved.

The application discloses a kind of based on intelligent self-calibration's aluminum alloy smelting temperature control system, including following module: data acquisition module, for generating heat input and temperature response dataset;Melt equivalent thermal inertia model construction and update module, for constructing melt equivalent thermal inertia model, and carry out online update;Temperature trend prediction module, for generating predicted temperature change trend information;Temperature measurement offset estimation module, for estimating temperature measurement offset based on improved complementary extended state observer, and introduce phase change driven non-uniformity discrimination mechanism, output temperature measurement offset estimator;Self-calibration temperature generation module, for generating self-calibration temperature sequence;Instruction generation module, for generating heating power adjustment instruction;Power execution module, for receiving instruction and adjusting the output power of heating device.The application realizes temperature self-calibration high-precision control by thermal inertia modeling and improved complementary extended state observer.