4807 results about "Thermocouple device" patented technology

The invention discloses a distributed real-time monitoring and early warning system for a temperature field of a smelting furnace, and relates to the technical field of industrial process intelligent monitoring. The problems of accumulated measurement errors and non-stationary hotspot escape reconstruction hysteresis caused by static emissivity setting in an existing system are solved. Collecting multiband radiation intensity and voltage signals through time domain alignment of the multispectral sensor array and the thermocouple array; iterating emissivity parameters in real time by adopting a dynamic ash body spectrum ratio algorithm in combination with flue gas absorption characteristics; fusing non-contact and contact temperature measurement data based on weighted Kalman filtering and complementary filtering; constructing a space-time variable covariance function to carry out non-stationary Kriging interpolation; dynamically optimizing the local grid resolution by combining an adaptive grid module; the processing flow is accelerated through the parallel computing module; early warning is triggered based on abnormal probability judgment and is fed back to emissivity correction and grid optimization; according to the invention, the monitoring precision and real-time performance of the temperature field are obviously improved, and the risks of false alarm, missing alarm and equipment melting loss are effectively inhibited.

The invention belongs to the technical field of motor control, and discloses a control method of a motor for an inverter compressor, which comprises the following steps: embedding a distributed thermocouple array in a motor stator slot to acquire temperature data of the motor, synchronously acquiring operation parameters of the motor, generating a dynamic thermal field characteristic spectrum through a data fusion algorithm, coordinates of the hot spot areas with the temperature abnormally increased are marked, a dynamic correlation model is established, and heat conduction characteristic parameters in the dynamic correlation model are updated through a sliding window algorithm; outputting a predicted temperature rise curve through the dynamic correlation model, adjusting a PWM control strategy of the inverter, inputting the PWM control strategy to a motor driving unit to execute preliminary regulation and control, collecting feedback data to generate a multi-dimensional feedback feature vector, iteratively optimizing a combined weight of a switch interval compensation amount and a harmonic injection strategy through a gradient descent algorithm, and performing harmonic injection control. And a global optimal strategy considering the heat dissipation efficiency and the operation stability is formed, and the operation stability and the energy efficiency level of the inverter compressor under various working conditions are remarkably improved.

The invention relates to the field of industrial automation and intelligent control, and discloses an intelligent temperature automatic control system for a digital glass mold. The method comprises the following steps: acquiring mold surface temperature and heat flow data through a thermocouple array and a thermal infrared imager, and constructing heat flux and a disturbance coefficient; forming state vectors are established in combination with the forming process parameters and the heat flow distribution, and forming stability levels are generated through support vector regression; building a heat balance deviation model based on the thermophysical parameters and the environment variables, and predicting a temperature trend; a temperature control instruction is generated through the fuzzy neural controller, and temperature dynamic closed-loop control is achieved. The system improves the temperature control precision and thermal field balance of the glass mold, and is suitable for intelligent temperature control management in the glass container forming process.

The invention provides a casting system temperature intelligent control method which comprises the following steps: acquiring a casting mold characteristic area, and setting a thermocouple in the mold characteristic area based on casting structure characteristics; a random forest model is established according to thermocouple temperature measurement results and casting quality detection results, recursive feature elimination is carried out, correlation between thermocouple temperature measurement data and casting quality is discriminated, the number of thermocouples is optimized, and the thermocouples are screened; and analyzing according to the temperature data of the thermocouple temperature measuring points, the cooling process parameters and the corresponding casting quality, constructing the relationship among the cooling process parameters, the initial temperature of each mold thermocouple and the casting quality through a gradient lifting decision tree model, and controlling the temperature of the casting system based on the relationship. By arranging the thermocouple and based on the random forest model and the gradient boosting decision tree model, the temperature control accuracy is improved, the temperature is adjusted in time, and the purposes of optimizing the casting process, reducing defects and ensuring high-quality manufacturing of the aluminum alloy hub are achieved.

The invention discloses a charging pile intelligent heat dissipation method and device based on heat conduction line optimization and a medium, belongs to the technical field of charging pile heat dissipation, and aims to solve the technical problem of how to avoid the defects of high thermal resistance, response lag and large energy consumption in a traditional charging pile heat dissipation scheme and improve the heat dissipation efficiency and operation reliability of a charging pile. According to the technical scheme, a heat conduction structure is optimized; deploying a thin film thermocouple and constructing a three-dimensional temperature field model through infrared thermal imaging; establishing a thermal resistance-flow-power transfer function model by adopting a fuzzy PID (Proportion Integration Differentiation) and model predictive control hybrid algorithm; historical charging data are analyzed based on an LSTM neural network, a power peak value is predicted 300 ms ahead of time, and heat dissipation equipment is pre-started.

The invention provides a frying and baking equipment heat preservation automatic control method and system, and relates to the technical field of food processing equipment control, and the method comprises the steps: collecting temperature signals of different positions through a plurality of groups of thermocouples and infrared thermal imaging sensors which are arranged in a frying and baking area, constructing a dynamic three-dimensional temperature field model, and obtaining a dynamic three-dimensional temperature field model; calculating a temperature standard deviation and a maximum temperature gradient in real time according to the dynamic three-dimensional temperature field model; and when the temperature standard deviation is larger than or equal to a preset threshold value, according to the heat distribution difference of the three-dimensional temperature field model, a multi-region differential compensation strategy is generated, the power distribution proportion of each heating unit is dynamically adjusted, and the duty ratio parameter of pulse width modulation is optimized in real time. Through multi-sensor accurate monitoring, dynamic regulation and control and intelligent stop judgment, uniform and stable temperature control, energy conservation and consumption reduction are achieved, the service life of equipment is prolonged, meanwhile, the use safety of a user is guaranteed, and the cooking experience is improved.

The invention discloses a high-temperature surface contact thermal resistance elimination method based on double thermocouple compensation, and belongs to the technical field of material thermal property characterization and testing. The method comprises the following steps: synchronously acquiring double-thermocouple temperature, and obtaining a temperature difference signal through filtering calibration and environment correction; calculating the real-time heat flux density according to the corrected temperature difference, the Seebeck coefficient and the dynamic correction factor; establishing a nonlinear dynamic coupling model containing contact thermal resistance parameters, and performing temperature interval division; identifying a contact thermal resistance parameter on line by adopting a self-adaptive recursive least square algorithm, and generating a dynamic thermal resistance compensation value; and applying the compensation value to a double-thermocouple signal according to the weight, and outputting accurate high-temperature surface temperature. According to the method, data acquisition and preprocessing, dynamic heat flow correction, nonlinear segmented modeling, self-adaptive online identification and refined compensation output strategies are adopted, the influence of high-temperature surface contact thermal resistance can be effectively eliminated, and the accuracy and reliability of temperature measurement in the high-temperature environment are remarkably improved.

The invention relates to the technical field of high temperature sensing and data fusion, in particular to a method for array thermocouple multi-mode compensation and DIC stress field space-time coupling fusion, which comprises the following steps: step 1, in a thermotechnical signal intelligent processing and compensation unit, completing hardware and algorithm collaborative design of an electronic cold junction compensation module; 2, constructing a multi-algorithm fusion compensation module, integrating nonlinear correction, drift compensation and interference suppression functions, and accurately coping with various interference signals through a dynamic weighting strategy; step 3, adopting a sub-pixel-level matching algorithm and a homography matrix calibration technology to realize high-precision space alignment of the temperature and stress measurement units; and establishing a nonlinear incidence relation between the temperature and the stress based on an improved Gaussian process regression model. According to the invention, based on collaborative design of the thermotechnical signal intelligent processing and compensation unit and the DIC vision and temperature data conjoint analysis module, the core precision problem of temperature and stress detection in a high-temperature environment is solved through hardware optimization and algorithm innovation.

The invention relates to a thermocouple and Kalman filtering-based global mk-level precision temperature control method. The method comprises the following steps of S1, arranging a thermocouple temperature measurement network; s2, establishing a mathematical model of a temperature measurement and control system; s3, establishing a discrete temperature measurement and control system model containing process noise and a thermocouple observation model containing measurement noise; s4, acquiring a system temperature priori estimation value at the current moment, and calculating a priori state estimation error covariance matrix; s5, obtaining a system temperature posterior state estimation value, updating the posterior state error covariance matrix, and obtaining a temperature measurement and control system correction model; s6, obtaining an error vector of a temperature measurement and control system; s7, obtaining a full-domain control variable based on feedforward-feedback, and acting the full-domain control variable on the temperature control object through an execution component; and S8, repeating the steps S4-S7 to form closed-loop control so as to realize the global mk-level temperature control precision of the temperature measurement and control system. The method has the beneficial effects of good comprehensiveness and strong coordination.

The invention relates to a power battery specific heat capacity quasi-steady-state measurement method, which comprises the following steps of: respectively arranging heating films on two large surfaces of a power battery, and uniformly and symmetrically arranging a plurality of thermocouples on the heating film on one large surface along the diagonal direction of the power battery, thermocouples with the same number are reversely and symmetrically arranged on the heating film on the surface of the other large surface along the direction of the other crossed diagonal line of the power battery, and an insulating material is wrapped outside the power battery; placing the processed power battery in a temperature control box, connecting the temperature control box with external test equipment through a connecting line, and adjusting and controlling the temperature control box to keep the initial temperature constant; the temperature rise rate is calibrated through heat loss calibration in the heating temperature rise stage and the slow cooling stage, and the specific heat capacity of the power battery is calculated based on the calibrated temperature rise rate. The specific heat capacity of the power battery can be obtained without extra heat loss calibration test, the method is suitable for stylized data algorithm processing, the data processing time is short, and the test result is accurate.

The invention relates to a soft package lithium battery internal and external temperature real-time monitoring method, which comprises the following steps of: in a soft package battery packaging process, implanting a plurality of superfine thermocouples into a key area in a battery to obtain a temperature change condition in the battery; the key area comprises an area below the current collector, a maximum thickness position and an area close to the bottom of the shell; meanwhile, a plurality of distributed temperature measuring points are arranged on the outer surface of the battery, superfine thermocouples are arranged respectively, a distributed monitoring network is formed, and the temperature change condition outside the battery is obtained; the proportion of the total volume of the implanted superfine thermocouple to the internal space of the battery is lt; 0.03% by weight; temperature data are recorded in real time through high-precision acquisition equipment, the sampling frequency is adjustable, and the temperature error does not exceed + / -0.01 DEG C. By optimizing a sensor arrangement strategy, the original performance of the battery is maintained to the maximum extent while accurate temperature monitoring is achieved, and the method is suitable for temperature field accurate management and thermal safety control in the fields of power batteries, energy storage batteries and the like.

The invention relates to the technical field of data processing, and discloses a high-temperature early warning method and system for a welding device. The method comprises the following steps: carrying out multi-point temperature measurement by using a K-type thermocouple and an infrared thermal imager; fourier heat conduction calculation is conducted on the welding heat field; extracting temperature anomaly region features through thermal gradient analysis; carrying out multi-parameter risk assessment by combining material melting point parameters; a multi-channel alarm instruction is output through the industrial control bus; and current-voltage curve real-time adjustment is conducted on the welding power source, and closed-loop self-adaptive control is achieved. According to the method, a complete closed-loop system from multi-sensor temperature collection, thermal field analysis, abnormal feature extraction and risk assessment to multi-stage alarm and self-adaptive control is established, so that early recognition and accurate control of thermal abnormality in the welding process are realized, and the welding quality and the production safety are remarkably improved.

The invention provides an elevator ascending overspeed protection device fault prediction method and system based on big data, and relates to the technical field of elevator safety monitoring, and the method comprises the steps: setting a thermocouple array on the surface of a brake to collect temperature data, constructing a temperature distribution diagram, and extracting a hot spot region; calculating a hotspot migration track and stress distribution by using a big data analysis platform; fitting a damage development curve based on the fatigue damage degree; and space-time correlation analysis is carried out through a multi-point monitoring network, the fault source position and the expansion trend are determined, and fault early warning is realized. Potential faults of the elevator ascending overspeed protection device can be predicted in advance, and the operation safety of the elevator is improved.

The invention discloses a grinding control system based on a rotatable temperature measurement grinding wheel, which comprises the rotatable temperature measurement grinding wheel, a temperature acquisition module, a PC (Personal Computer) upper computer, a PLC (Programmable Logic Controller), a spindle motor system, a servo motor system, a liquid cooling system and an air cooling system, the temperature acquisition module is connected with the PC upper computer, the PC upper computer is connected with the PLC, the PLC is connected with the spindle motor system, the servo motor system, the cooling system and the air cooling system, the PC upper computer serves as a control center, set temperature serves as an input variable, a Labview program is adopted for comparing the set temperature with the temperature measured in real time by rotating the temperature measurement grinding wheel, and the set temperature is obtained. And then the PLC is controlled to carry out multi-input single-output PI D feedback control, series grinding process parameters such as the rotating speed of the grinding wheel, the workpiece feeding amount and the cooling liquid supply amount are regulated and controlled, the grinding temperature is constant, the grinding heat damage of the workpiece is effectively reduced, and the surface grinding quality of the workpiece is improved.

The invention provides a small-sized long-time heat flow measurement sensor and a measurement method suitable for two inverse problem algorithms. The small-sized long-time heat flow measurement sensor and the measurement method are used for measuring heat flow by using a calibration integral equation method and a space propulsion method. The sensor comprises a shell, a heat insulation material, a heat conduction material, a first thermocouple and a second thermocouple, the shell is of a cylindrical structure with an opening in one end, a cylindrical heat conduction material which is coaxially arranged is arranged in the shell, the first thermocouple and the second thermocouple are arranged between the heat conduction material and the shell, and the collecting ends of the first thermocouple and the second thermocouple are embedded into the heat conduction material; and other areas between the heat conduction material and the shell are filled with a heat insulation material. The sensor is compact in structure and small in size, and can be embedded in a material for measurement. And meanwhile, the sensor has relatively high precision and stability, can accurately output a prediction solution of a measuring point in short-time or long-time measurement, and has a relatively large application range and practicability.

The invention discloses a new energy automobile high-voltage connector thermal management system and an optimization control method, and relates to the technical field of connecting piece thermal management. The multi-dimensional temperature sensing module is used for acquiring and fusing data by using a thermocouple, an infrared sensor and the like; the combined type heat dissipation execution module adopts a bionic liquid cooling plate, a nano coating fin and a semiconductor chilling plate to dissipate heat; the intelligent heat management control module is used for adjusting heat dissipation by means of an MPC algorithm and fuzzy PID; the fault diagnosis and safety protection module can give an alarm, cut off power and guarantee the reliability of the sensor; and the data interaction and optimization module is used for realizing data interaction and strategy remote optimization. Through multi-module cooperation and intelligent control, the working temperature of the connector is reduced, the heat dissipation efficiency and the control precision are improved, the response time is shortened, and the energy consumption and the service life are balanced; and meanwhile, the fault diagnosis capability is enhanced, the maintenance frequency is reduced, strategy optimization is realized by means of a digital technology, and safe and efficient operation of the high-voltage connector is guaranteed.

The invention discloses a modularized multipurpose gas flow heat exchange experiment section. The experiment section comprises a cooling ring cavity assembly, an experiment section heat exchange inner pipe, an inlet and outlet gas guide pipe, a heat insulation layer, a wall surface temperature thermocouple, a thermocouple fixing curved surface, an outer ring cavity fixing lantern ring, a fixing bolt and a flexible sealing material. An experiment section heat exchange inner pipe is a high-temperature-resistant alloy long pipe, working medium gas and a cooling medium are arranged inside and outside the pipe respectively, and a nanometer heat insulation layer and a gas circulation guide pipe are arranged in the two ends of the inner pipe so as to reduce unnecessary gas heat exchange; the wall surface temperature measuring thermocouple is fixed on the pipe wall in a silver brazing manner to realize accurate measurement of the wall surface temperature; in addition, the cooling ring cavity assembly is composed of an upper piece and a lower piece which are connected in a flange mode and filled with flexible materials for sealing. The experimental section can be used for carrying out flow heat exchange research on heating or cooling working conditions according to requirements in the use process, and meanwhile, each component is modularly mounted to realize flexible replacement and change, so that the reliability and the expandability are greatly improved.

The invention relates to the technical field of titanium alloy welding deformation control, in particular to a device and method for controlling titanium alloy welding deformation, and the method comprises the following specific steps: S1, preparation before welding: determining a reversible deformation device according to a welding seam form of a titanium alloy part, and carrying out assembly and spot welding; the assembled titanium alloy welding part is fixed to a reversible deformation device, and it is ensured that the part does not deform in the welding process; s2, a welding process; a thermocouple is placed on the surface of a weld joint, a local heating belt and heat preservation cotton are laid, and the heating belt, the thermocouple and local heating control equipment are connected for heat treatment; and S4, measurement of welding deformation is carried out. According to the method, a complete and easy-to-operate technological process is constructed by combining pre-welding anti-deformation tool fixing and post-welding local heating treatment technologies, and the problem of welding deformation with considerable numerical values and complex forms generated by multiple welding procedures of a large complex titanium alloy structure is solved.

The invention relates to an integral microwave-assisted additive manufacturing device and method. The integral microwave-assisted additive manufacturing device comprises a microwave high-temperature cavity, a microwave leakage-proof outer cavity, a microwave element, a high-temperature thermocouple, a high-temperature supporting mechanism and a servo driving mechanism. The microwave auxiliary device is fixed to the supporting frame, and the servo driving mechanism drives the forming base plate to move synchronously through the high-temperature supporting mechanism. According to the device and the method, an additive manufacturing component can autonomously absorb microwaves in a forming high-temperature state, microwave energy is converted into heat energy, rapid temperature rising of the material is achieved, meanwhile, under the synergistic effect of microwave coupling external heat sources, synchronous preheating and slow cooling inside and outside the material are achieved, thermal stress in the forming process is reduced, and therefore material cracking is effectively restrained. The heating temperature and the heating rate are regulated and controlled by controlling the microwave power, so that on-demand preparation of the microstructure of the material is realized; the microwave plasma heat effect and the electric field enhancement effect in the microwave heating process can promote densification of a formed component, and the overall performance of the material is remarkably improved.

The invention relates to a thermocouple position layout optimization method based on feature point extraction, and the method comprises the following steps: heating a patch and an adhesive through a hot patching instrument, obtaining the temperature field data of an adhesive interface based on a finite element simulation method, and extracting the temperature value and coordinates of each node; analyzing the time sequence change of the temperature field data, and screening the key frame with the maximum node temperature standard deviation; performing spatial interpolation on the node temperature data of the key frame to generate a two-dimensional temperature distribution matrix; feature points are extracted from the temperature distribution matrix through a combined algorithm of extreme value layering, OPTICS density clustering, gradient analysis and adaptive spatial distribution; and optimizing the thermocouple installation position according to the feature point distribution. Through the method, the heating conditions of the bonding interface and the patch are monitored and fed back by using the accurate number of the thermocouples and setting the accurate positions of the thermocouples, and meanwhile, the problem that uneven heating cannot be monitored due to the fact that the positions of the thermocouples are improperly set is solved.

The invention discloses a photovoltaic module mismatch diagnosis system and method based on dual-mode thermal detection and AI dynamic optimization, and belongs to the technical field of fault detection of a photovoltaic power generation system.The photovoltaic module mismatch diagnosis system comprises a thermocouple sensor, an infrared thermal imaging module, a wireless data acquisition and transmission module, an AI intelligent data analysis system and a remote operation and maintenance management platform, and the inverter optimization control unit is respectively connected with the remote operation and maintenance management platform and the wireless data acquisition and transmission module. According to the invention, infrared thermal imaging large-range scanning and a surface ultra-thin flexible thermocouple sensor are combined, the temperature of key parts of the assembly is monitored in real time, and mismatch faults are accurately screened; adopting temperature gradient analysis, K-means clustering and a time sequence based on transfer learning to predict and recognize faults such as shadows, microcracks and poor welding, and performing remote early warning; mPPT parameters are dynamically adjusted based on a particle swarm algorithm, and power loss is reduced; the method improves the stability of a photovoltaic system, reduces the inspection cost, and is suitable for a large-scale power station and a distributed photovoltaic system.

The invention discloses a grinding state and grinding wheel wear monitoring system and method based on multi-sensor fusion, which realize multi-physical-quantity coupling modeling and improve the monitoring precision through cooperative deployment of micro array thermocouples, strain force sensors and vibration sensors and in combination with a time domain and frequency domain feature extraction technology. The system adopts a non-contact power supply design, electromagnetic induction power generation is driven through rotation of the main shaft, real-time signal processing and wireless transmission of a circuit board in the grinding wheel are supported, and the problem of power supply in a high-speed rotation scene is solved. And meanwhile, dimension reduction processing is conducted on the multi-sensor features through an offline network model, self-adaptive adjustment of grinding parameters and ultrasonic amplitude is achieved through dynamic regulation and control logic, and the downtime and the rejection rate are remarkably reduced. The method has remarkable creativity, practicability and economic benefits, fills the blank of fragmentation monitoring and regulation and control lag in the prior art, and improves the stability and machining quality of the grinding process.

The invention relates to an intelligent wafer etching process in the technical field of information, and the process comprises the steps: obtaining the etching rates of different materials under various liquid medicine formulas, constructing an etching rate database covering various material systems, screening out a material combination with high etching selectivity by comparing the etching rate differences in the database, and carrying out the etching of the material combination. Determining a targeted liquid medicine formula optimization direction; a multi-parameter online monitoring unit is installed in etching equipment, the concentration of liquid medicine is measured in real time through an optical fiber spectrometer, the temperature and the pH value of the liquid medicine are measured in real time through a thermocouple and a pH electrode, when monitoring parameters exceed a set range, a liquid medicine proportion adjusting program is started, and dynamic regulation and control over the property of the liquid medicine are achieved by controlling the liquid inlet amount and the liquid outlet amount. And the stability and the consistency of the etching process are ensured.

The invention belongs to the technical field of metal material preparation, and particularly relates to a high-purity platinum-molybdenum thermocouple wire and a preparation method and application thereof. The preparation method of the high-purity platinum-molybdenum thermocouple wire comprises the following steps: (1) purifying crude platinum step by step to obtain high-purity sponge platinum with the purity not lower than 99.999%; (2) mixing the high-purity platinum powder and the high-purity molybdenum powder according to a formula proportion, and performing cold isostatic pressing to obtain an alloy ingot; (3) the alloy ingot is subjected to vacuum suspension smelting, gas and non-metallic inclusions are removed, and a high-purity, uniform and compact platinum-molybdenum alloy cast ingot is obtained; (4) carrying out sheathing, hot forging and surface milling on the cast ingot to obtain a thermo wire bar; and (5) the bar is subjected to cold rolling, cold drawing and argon shield annealing, and the high-purity platinum-molybdenum thermocouple wire is prepared. The platinum-molybdenum thermocouple wire prepared by the method has the characteristics of high purity, accurate content, stable thermoelectric force, irradiation resistance, long service life and the like, and can meet the performance requirement of accurate temperature measurement in a core irradiation environment in the nuclear power engineering field.

The invention provides a thermocouple temperature measurement adaptive anti-interference method and system applied to an instrument, and relates to the technical field of temperature measurement and control, and the method comprises the steps: obtaining an original thermocouple temperature measurement signal generated by a thermocouple body, carrying out the cold end compensation of the original thermocouple temperature measurement signal, and obtaining a standard thermocouple temperature measurement signal; respectively processing the standard thermocouple temperature measurement signals to obtain corrected thermocouple temperature measurement signals; the corrected thermocouple temperature measurement signal and the closed-loop manipulated variable are used as observed quantities to be input into the extended state disturbance model, an unknown equivalent disturbance quantity corresponding to the corrected thermocouple temperature measurement signal is obtained, and a predicted temperature deviation value and a predicted equivalent disturbance quantity are obtained through an extended state observer; and dynamically adjusting the gain of the PID controller by using a fuzzy self-tuning algorithm, carrying out superposition processing on the PID control quantity and the compensation quantity corresponding to the predicted equivalent disturbance quantity, and compensating the temperature controller by using a temperature regulation and control instruction. According to the invention, the steady-state disturbance suppression capability and the response speed can be improved.

The invention discloses a surface temperature detection method for a chip-level GaAs power device, and belongs to the technical field of semiconductor device temperature detection. The method comprises the following steps: acquiring a surface temperature image of a device in a working state, and identifying a plurality of virtual heat source points of the device according to the surface temperature image; arranging a plurality of thermocouples on the surface of the device; acquiring temperature images of the surface of the device at different environment temperatures, calculating a first test temperature of the virtual heat source point according to the temperature images, and acquiring a second test temperature of the virtual heat source point through a thermocouple; fitting a temperature compensation model of each virtual heat source point according to the environment surface temperature difference value and the test temperature difference value; and acquiring the environment temperature and the working temperature data of the virtual heat source point in real time, and correcting the working temperature data according to the environment temperature and the temperature compensation model. The working temperature data acquired by the thermocouple are compensated in real time through the environment temperature and the temperature compensation model, and high-precision device surface temperature detection is achieved.

The invention relates to the technical field of motor testing, in particular to a motor stator temperature field testing and analyzing method, device and system, and the method comprises the steps: obtaining a plurality of first temperature values and second temperature values under a preset testing condition, the second temperature value is collected by a second thermocouple sensor, the first thermocouple sensor is arranged in a coil of a stator core of the motor, the second thermocouple sensor is arranged in a groove of the stator core, and the groove is distributed on the periphery of the stator core; obtaining fitting data of the stator temperature field based on the first temperature value and the second temperature value; on the basis of fitting data, abnormal temperature point identification and temperature field future change prediction are carried out; according to the method, the actual measurement of the internal temperature and the peripheral temperature of the stator is realized, and compared with temperature field data simulation, the precision of the fitting data of the temperature field obtained by the method is relatively high, and the improvement of the precision of subsequent data analysis is facilitated.

The invention discloses a system and a method for evaluating the thermal insulation effect of a thermal barrier coating of a turbine blade in a rotating state, the system comprises a service environment simulation unit, a temperature field measurement unit and an evaluation unit, and the service environment simulation unit comprises a turbine blade test piece and a gas spray gun; the temperature field measuring unit comprises an infrared thermal imaging module and a thermocouple module, the thermocouple module comprises a thin film thermocouple and a miniature thermocouple, and the thin film thermocouple is arranged between the blade and the thermal barrier coating and used for obtaining a temperature field of an interface; the micro thermocouple is arranged on the surface, away from the blade, of the thermal barrier coating and used for obtaining a temperature field of the surface of the thermal barrier coating; the evaluation unit evaluates the thermal insulation effect of the thermal barrier coating according to the temperature measurement result. The real service environment of high-temperature and high-speed rotation of the thermal barrier coating of the turbine blade can be simulated, the surface of the thermal barrier coating is heated in an annular gas flame mode, the high-power and high-speed motor is adopted to drive the turbine blade to rotate at a high speed, and real-time temperature measurement in the high-speed rotation state is achieved.

The invention discloses a fitting method for a heat conduction coefficient of a cable material under a fire disaster high-temperature condition. The method comprises the following steps: preparing two parts of cable materials, and determining respective heat capacity values of an outer protective layer and an insulating layer of the first part of cable material at different temperatures; a plurality of thermocouples are uniformly arranged on the outer protective layer and the insulating layer of the second part of cable material, and an over-temperature test sample with a stacked structure is manufactured through a high-temperature pressing process; carrying out an over-temperature test, and recording respective temperature data of the plurality of thermocouples when the over-temperature test sample is over-temperature; determining heat conductivity coefficients of the cable material at different temperatures; according to the heat conductivity coefficients of the cable material at different temperatures, heat conductivity coefficient mutation points are determined, nonlinear fitting is conducted on the heat conductivity coefficients of the cable material before mutation, after mutation and in the mutation process, and a curve graph of the heat conductivity coefficients of the cable material changing along with the temperature is obtained. The technical problem that the real situation of a cable fire cannot be accurately simulated by using a fixed heat conductivity coefficient is solved.

The invention discloses a method and device for testing the fatigue crack growth rate of a metal material based on temperature gradient change, and relates to the technical field of metal material detection. Mounting a constant low-temperature component and a constant high-temperature component close to two ends of the sample respectively; pasting a plurality of thermocouples on the middle surface of the sample; a magnetic powder dynamic moving assembly is installed on the surface of the sample, and a constant-temperature state is given to magnetic powder; loading a bidirectional tension-compression fatigue testing machine along the through hole of the sample; a thermal imager is arranged far away from the parallel sample, and a thermal imaging image is shot; according to the data, the fatigue crack growth rate of the sample at the corresponding temperature is obtained; according to the method, the fatigue crack growth rate of the metal material can be rapidly tested, meanwhile, the temperature gradient is formed in the sample, the influence of the temperature on the crack growth rate can be obtained in different temperature areas, the device required by the whole test is simple in structure, low in cost and convenient to load and disassemble, and the whole efficiency of the test is effectively improved.