1859 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 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 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 an infrared temperature measurement calibration method and device for a CMAS high-temperature corrosion thermal barrier coating. The method comprises the following steps: preparing a thermal barrier coating sample coated with CMAS and provided with holes in the side surface; placing the sample in a high-temperature furnace, and inserting a high-temperature thermocouple into the sample temperature measuring hole; adjusting the high-temperature infrared thermometer to align a temperature measuring light path of the high-temperature infrared thermometer with a to-be-measured area on the surface of the sample; heating the high-temperature furnace to a preset temperature and preserving heat; and comparing thermocouple and infrared temperature measurement data in real time, adjusting the infrared emissivity to enable the difference between the thermocouple and the infrared temperature measurement data to be within a preset error range, and determining the infrared emissivity parameter of the sample at the temperature. According to the method provided by the invention, the infrared temperature measurement parameters of the thermal barrier coating under different CMAS corrosion conditions can be accurately calibrated, so that the corresponding infrared emissivity is obtained, and a key technical support is provided for checking and evaluating the high-temperature CMAS corrosion service life of the thermal barrier coating and testing the reliability of the service life. Meanwhile, the device adopted by the invention is simple in structure, simple and convenient to operate, accurate and effective in test result and good in application value.

The invention belongs to the field of aero-engine anti-icing system design, and discloses an aero-engine anti-icing system and a design method. The system comprises an anti-icing component, a heat supply structure, a control assembly and a monitoring assembly, wherein the anti-icing component selects an air inlet support plate and a rectification cover hood; the heat supply structure introduces air from two air flows of the combustion chamber and conveys hot air through a pipeline and an air collection cavity; the control assembly adopts intermittent control, and system management and control are achieved through a pressure reducing valve and a digital electronic controller; the monitoring assembly comprises a pressure sensor and a thermocouple. The design method sequentially comprises the steps of anti-icing component and type determination, anti-icing structure design, control scheme design, simulation analysis, test verification and the like. A complete forward design path is provided, the anti-icing efficiency is improved, the structure is simplified, safe and stable operation of the engine is guaranteed, and the method can be widely applied to design and improvement of an anti-icing system of the aero-engine.

The invention relates to the technical field of hot riveting, and discloses split type hot riveting head modular hot riveting equipment which comprises an upper tool, a lower tool, a heating body arranged at the bottom of the upper tool, a plurality of hot riveting heads arranged at the bottom of the heating body in a linear array mode and a product arranged at the top of the lower tool. The two sets of detachable heating rods are arranged on the two sides of the heating body respectively, the three sets of thermocouples are arranged at the bottom of one side of the heating body, and the heat conduction unit is arranged on the hot riveting head. The heat conduction assembly, the reset assembly and the overturning assembly form a closed-loop action, a heat conduction plate preheats a metal sheet through a heat conduction ring, and infirm connection and deformation caused by temperature difference are avoided. Due to small deflection and overturning separation during hot riveting, heat interference and flash adhesion are avoided; after hot riveting, the material is reset and pushed to be stripped, pull wires are prevented from being pulled up, and a hot riveting head can be surrounded for heat preservation. The whole process does not need extra driving, product quality is guaranteed, takt time is shortened, and automation efficiency is improved.

The invention relates to the technical field of infrared sensors, in particular to a monolithic integrated MEMS out-of-plane thermopile chip and a preparation method thereof, and the thermopile chip comprises a substrate, and a bottom electrode, a thermocouple array, a top electrode and an optical radiation absorption layer which are sequentially arranged on the substrate; the thermocouple array is vertically arranged on the bottom electrode; the thermocouple array comprises a plurality of thermocouple pairs, and each thermocouple pair comprises an N-type thermocouple and a P-type thermocouple; the N-type thermocouple and the P-type thermocouple form a current and heat flow loop in an electric series connection and heat parallel connection mode. According to the invention, the bismuth telluride-based thermoelectric material with low thermal conductivity and high Seebeck coefficient difference is used as the thermocouple material of the out-of-plane thermopile chip, the heat conduction path of the out-of-plane thermopile chip is more direct, the temperature difference in the vertical direction can be directly utilized, and the higher response speed and high sensitivity are expected to be realized due to the more efficient thermal gradient.

The invention relates to the technical field of material thermal performance testing, and discloses a material heat conductivity coefficient automatic testing method based on a heat flow gradient method. The method comprises the following steps: firstly, constructing a test environment topology network, collecting three-dimensional structure parameters and environment thermodynamic parameters of a tested material, and inputting the parameters into a thermal field simulation system to generate an internal heat flow distribution model; and analyzing internal cavity distribution characteristics according to the three-dimensional structure parameters, matching the internal cavity distribution characteristics with a cavity characteristic-heat source layout mapping table to determine a steady-state heat source layout scheme, and activating a heat flow gradient analysis device when multiple heat sources are needed. A heat conduction parameter database is called, heat source power parameters and temperature acquisition parameters are extracted based on environmental thermodynamic parameters, the heat source power parameters comprise spacing, axial angles and the like, and the temperature acquisition parameters comprise thermocouple types and acquisition frequencies; and finally, simulating temperature field evolution through a heat flow gradient analysis device, outputting and analyzing related data, and generating a parameter optimization instruction to adjust heat source configuration. According to the method, multiple links are coordinated, material structures and environmental factors are integrated, and automation of the testing process is achieved.

The invention relates to the technical field of industrial furnace temperature control, and discloses a tunnel furnace fuzzy PID temperature control process with strong anti-interference adaptive ability, which comprises the following steps: temperature signal acquisition: acquiring actual temperature values of each area in real time through temperature sensors arranged in different heating areas of a tunnel furnace, and calculating temperature signals of the actual temperature values; the collected temperature signal is converted into a digital signal to be transmitted to the temperature controller; and interference signal identification and classification: calling a preset interference identification model by the temperature controller, and carrying out fluctuation characteristic analysis on the acquired temperature signal. By adopting a dual-redundancy temperature acquisition mode combining distributed optical fibers and K-type thermocouples and combining an interference identification model based on an LSTM neural network, accurate identification and classification of interferences such as feed quantity fluctuation, power supply fluctuation and airflow disturbance in a kiln are realized, and through dynamic correction of fuzzy PID (Proportion Integration Differentiation) parameters and an interference compensation mechanism, the disturbance of the kiln can be accurately identified and classified. And the anti-interference capability of the tunnel kiln temperature control system is obviously improved.

An intelligent temperature control system for metal product die casting equipment comprises a male die mechanism, a female die mechanism, an ejection mechanism and a temperature control system, the male die mechanism and the female die mechanism are matched oppositely, the ejection mechanism is installed on the male die mechanism, and the temperature control system comprises a temperature monitoring assembly, a circulating assembly, a heating assembly, a cooling assembly and a control center. The temperature monitoring assembly is installed on the male die mechanism and the female die mechanism, the circulating assembly is connected to the male die mechanism and the female die mechanism, and through a multi-area independent temperature control framework and a dynamic feedback adjusting mechanism, the problem of local thermal unbalance caused by overall temperature control of a traditional die-casting die is effectively solved; a plurality of groups of independent circulating water channels accurately cover different heat conduction areas of the mold, and differential and dynamic accurate control of the temperature of each area is realized by combining real-time monitoring of multi-point distributed thermocouples and intelligent regulation and control of a control center; the heat-conducting channel enhances the heat exchange efficiency and shortens the temperature response time; heating and cooling assemblies are independently configured and efficiently and synergistically consider energy efficiency and temperature control speed.

The invention discloses a distributed intelligent front-end multi-channel thermocouple data analysis method and system, and relates to the technical field of industrial temperature intelligent analysis, and the method comprises the steps: carrying out the preprocessing of temperature data collected by a multi-channel thermocouple, calculating the dominance score of each channel, and screening a dominance channel set according to the dominance score; performing temperature prediction on each channel in the main channel set to obtain a corresponding temperature prediction value, and constructing a residual feature vector based on the temperature prediction value and an actual temperature value; based on the residual feature vector, extracting a deviation feature, and generating a corresponding deviation feature vector; and determining the cause type of the prediction deviation based on the deviation feature vector, and triggering a corresponding abnormal response strategy. The method improves the abnormity identification accuracy and strategy response efficiency, and is suitable for intelligent identification and processing of dynamic abnormity in a distributed industrial temperature monitoring system.

The invention provides a method for monitoring the internal temperature of a single cell of a power battery, and relates to the technical field of battery monitoring, a monitoring method and a cell assembly are included, the cell assembly comprises a cell column, the cell column is wrapped with a cell lamination, the inner side of the cell lamination is provided with a miniature thin film thermocouple sensor, and the miniature thin film thermocouple sensor is arranged in the cell column. Aiming at the problems of insufficient precision, limited environmental adaptability, low intelligent degree and lack of thermal runaway prediction capability in monitoring of the internal temperature of a single cell of a power battery, a micro thin film thermocouple sensor array is embedded, an intelligent data processing flow and a multi-source data fusion design are adopted, and the thermal runaway prediction capability of the single cell of the power battery is improved. And the monitoring precision, reliability and automation level are obviously improved. Firstly, high-precision non-destructive detection and environmental adaptability are realized. The miniature thin film thermocouple sensor array is embedded between the positive and negative plates and the diaphragm, is attached to the non-coating area of the positive plate, and is in direct contact with the active material to construct a three-dimensional distributed temperature monitoring network.

The invention discloses a gradient thermocouple liquid level real-time detector, and relates to the technical field of liquid level detection, an integrated gradient thermocouple probe rod structure is adopted, a plurality of groups of thermocouple nodes are integrated on a single corrosion-resistant alloy integrated gradient thermocouple probe rod according to a preset interval through a special process, and a continuous temperature gradient sensitive area is formed. A high-precision signal processing circuit is embedded in the integrated gradient thermocouple probe rod, the temperature difference potential of each node is collected in real time, the liquid level height is calculated based on a dynamic temperature field modeling algorithm, and full-scale continuous measurement is achieved. Gradient node distributed layout is created for the first time, and a blind area of traditional point type measurement is eliminated; a self-adaptive temperature compensation mechanism is developed, and medium layering and boiling interference are overcome; the integrated gradient thermocouple probe rod adopts vacuum sealing and a nanometer heat insulation coating, and can resist a high temperature of 600 DEG C and a high pressure environment of 40 MPa. The device has millimeter-level measurement precision and millisecond-level dynamic response capability, does not need to move parts or external radiation sources, and remarkably improves the reliability, safety and installation convenience of liquid level monitoring of industrial reaction kettles and high-pressure boilers under extreme working conditions.

The invention discloses a multichannel thermocouple temperature compensation method for a liquid rocket engine test, and relates to the technical field of liquid rocket engine tests, and the method comprises the steps: determining the type of a target thermocouple temperature sensor according to the characteristics of a tested object in a to-be-tested liquid rocket engine, and determining a corresponding temperature compensation wire; a target thermocouple temperature sensor is connected with a temperature compensation wire to form an acquisition device; a thermocouple voltage signal and a thermistor voltage signal are acquired in real time through an acquisition device, and the signals are transmitted to a processor based on a wiring terminal in the temperature compensation cabinet; and the thermocouple temperature corresponding to the input data is determined through a preset cold end compensation algorithm in the processor. According to the invention, the precision and reliability of temperature measurement can be improved, the system structure is simplified, the system cost is reduced, and the system is suitable for temperature measurement requirements of multi-channel, high-precision and complex environments in a liquid rocket engine test.

A portable magnetic resonance (MR) imaging system is disclosed, including a housing including an array of magnets, a radio frequency (RF) coil assembly, a RF power amplifier, a primary control circuit and a safety control circuit. The RF power amplifier is configurable from a default configuration to an enabled configuration. The system can further include a thermocouple positioned to monitor a temperature.

The invention discloses a power battery multi-field coupling in-situ test platform and method, and relates to the technical field of battery test.The power battery multi-field coupling in-situ test platform comprises a test module and a data acquisition module, and the test module comprises an explosion-proof box inner container and an explosion-proof box inner container partition plate arranged in the explosion-proof box inner container; the explosion-proof box inner container partition plate divides the interior of the explosion-proof box inner container into a test area and a temperature and humidity control area, and the temperature and humidity control area is communicated with the test area through the explosion-proof box inner container air outlet. A battery clamp for fixing a battery, an extrusion needling mechanism for executing an extrusion needling test on the battery, and a drop hammer mechanism for executing a dynamic impact test on the battery are arranged in the test area; the data acquisition module comprises charging and discharging equipment, an electrochemical workstation, a multi-channel data recorder, a camera, an infrared thermal imager, a displacement sensor, a mechanical sensor, a stress sensor, a strain sensor and a thermocouple. And the actual performance of the power battery under the multi-dimensional working condition is comprehensively evaluated.

The invention discloses a high-power thin film thermopile laser power meter and a preparation method thereof, and relates to the technical field of laser detection equipment. The high-power thin-film thermopile laser power meter comprises a thermopile chip and a heat sink packaging shell, the thermopile chip comprises a substrate, a thermopile layer is arranged on the substrate, the thermopile layer comprises a plurality of thermocouple lines, the adjacent thermocouple lines are connected in series, the thermocouple lines are distributed in a square shape, the thermocouple lines are distributed in a step shape, and the thermopile chip is connected with the heat sink packaging shell. And a cold end thermal resistance layer and a hot end thermal resistance layer are respectively arranged above the cold end and below the hot end of the thermopile layer. The structure of the thermopile is optimized, the heat transfer path in the thermopile chip is regulated and controlled, the stability of the thermopile chip in a low laser power test is improved, the preparation process is improved, and the cost is reduced. The problems that an existing thin film thermopile laser power meter is low in sensitivity and poor in stability during low-power measurement, and a thermopile chip is prone to aging and poor in stability during high-power density measurement are effectively solved.

A portable magnetic resonance (MR) imaging system is disclosed, including a housing including an array of magnets, a radio frequency (RF) coil assembly, a RF power amplifier, a primary control circuit and a safety control circuit. The RF power amplifier is configurable from a default configuration to an enabled configuration. The system can further include a thermocouple positioned to monitor a temperature.

The invention relates to a detection system based on semiconductor equipment and a design method, a ceramic base band is attached to the peripheral side of an etching integrated cavity inner cylinder and extends along a spiral line, and a weak reflection fiber grating array is arranged in a base band caulking groove; the optical fiber demodulation module is connected with the array to acquire wavelength drift of each grid in real time, and the data processing module receives the drift and outputs real-time strain data of the outer peripheral side of the inner cylinder. According to the detection system, 360-degree quasi-distributed temperature / deformation monitoring is realized under the condition of not changing the structure of the cavity, the problems of insufficient coverage of thermocouple point measurement and thermal-mechanical coupling information loss are solved, and high precision and stability are kept in a high-temperature and high-radio-frequency environment; and the real-time early warning capability of the FDC on transient abnormality, assembly looseness and local overheating in the etching-coating process is obviously improved.

The invention discloses a liquid nitrogen cooling and laser heating collaborative auxiliary cutting device and a cutting method thereof. The device comprises a laser heating system, a liquid nitrogen cooling system, a cutting system, a tool temperature monitoring system and a control system. Laser emitted by the laser heating system is focused on a to-be-machined area of a workpiece in front of a cutting edge after transmitting through the cutter body; the liquid nitrogen cooling system accurately sprays liquid nitrogen to the cutting edge area of the tool through a heat insulation liquid supply pipeline and a nozzle which are integrated in the tool rest. The control system dynamically and synergistically adjusts the laser output power and the liquid nitrogen injection flow based on a temperature signal sent by a thermocouple embedded in the cutter. According to the device, parallelism of the two processes of laser heating of a workpiece and liquid nitrogen cooling of a tool is achieved in space, dynamic matching and accurate balance of laser heating and liquid nitrogen cooling are achieved in time, and the problems that in laser-assisted cutting, the tool is prone to thermal damage, the cooling efficiency is low, and a thermal field is out of control are effectively solved.

The invention relates to the technical field of sensor calibration, and discloses an intelligent calibration system and method for a sensor, and the system comprises a hardware integrated host, a main control module, a calibration data storage module, a communication interface module, a sensor type recognition module and PC end detection software. The method is applied to the system. According to the invention, through the multi-channel design of the hardware integrated host, convenient access and real-time calibration of multiple types of sensors are realized, and the time consumption of equipment switching is reduced; a segmented compensation model is matched through a sensor type identification module based on impedance characteristics and a voltage range, so that the problem of wide-temperature-range nonlinear compensation is solved, and the calibration precision of sensors such as platinum resistors and thermocouples is improved; the standard source data is integrated through the calibration data storage module and PC end detection software to generate a calibration report, and full-life-cycle data management and quality tracing are realized, so that the adaptability to various sensors is improved, and the calibration efficiency, the data consistency and the expandability are improved.

The invention relates to an anti-overtemperature control method and system for an aluminum alloy sheet heating furnace, and the method comprises the following steps: arranging a plurality of thermocouples in the length direction and the width direction in the heating furnace, forming a temperature matrix, and collecting the temperature distribution data of a working area in the furnace in real time; a transient heat conduction prediction model of the aluminum alloy sheet is established, and the model is combined with physical property parameters of aluminum alloy and comprises the relation that the specific heat capacity, the heat conductivity coefficient, the density and the emissivity change along with the temperature; based on the temperature matrix and the transient heat conduction prediction model, predicting a temperature rise curve of the thin plate in a future set time; and when the predicted temperature exceeds the preset safety threshold value, the heating power or the start-stop state of the corresponding heating area is adjusted in advance, and active anti-overtemperature control is achieved.

The invention relates to the technical field of steelmaking continuous casting, in particular to a continuous casting slab longitudinal crack real-time prediction method based on deep learning, which comprises the following steps: data acquisition and preprocessing: acquiring continuous temperature time sequence data on a plurality of rows of thermocouples of a crystallizer copper plate; a hybrid neural network model is constructed, an input layer is used for receiving L * N-dimensional temperature time sequence data, L is a time window length, N is a crystallizer thermocouple number, a feature extraction module comprises a multi-scale feature extraction module and a feature interaction bidirectional LSTM layer, and a classification module constructs a network structure of a full connection layer, a Dropout layer and an output layer; according to the method, online prediction of slab longitudinal cracks is realized, deep features of temperature time sequence data are automatically learned through an end-to-end model, and prediction precision and real-time performance are remarkably improved in combination with a hybrid neural network architecture.

The invention discloses an active eddy current excitation thermocouple gradient liquid level detector, relates to the technical field of industrial process detection, and aims to overcome the defects that a traditional thermocouple liquid level meter lags in response in a complex medium, and the measurement precision is limited by heat conduction characteristics. According to the scheme, a fusion mechanism of active eddy current excitation and distributed thermocouple gradient detection is innovatively provided. A miniature magnetofluid driven vortex generator is integrated in a coaxial nested detection rod, so that detected liquid is actively induced to generate directional vortex flow, and a static thermal boundary layer of a medium is broken; meanwhile, multiple stages of thermocouple arrays are precisely arranged in the axial direction, and dynamic temperature gradient jump signals at the liquid-steam interface under eddy current disturbance are captured in real time. The design breaks through the physical limit of passive heat conduction detection, the liquid level resolution is improved to the millimeter level, and the response time is shortened by more than 80%. Experiments show that in a 300 DEG C liquid sodium environment, the system measurement error is less than + / -1.5 mm, which is significantly superior to that of an existing contact type liquid level instrument.

The invention discloses a forming mold and a preparation method of a surface reinforced thermoplastic composite material, and belongs to the field of high-performance thermoplastic composite material manufacturing, the forming mold comprises an upper mold, a lower mold and a frame; a plane boss is arranged at the bottom of the upper die, a reinforcing rib boss is detachably arranged at the bottom of the plane boss, and transverse lugs used for being locked by a locking mechanism are arranged on the two sides of the plane boss and the reinforcing rib boss respectively. The upper die and the lower die are matched through a frame, and the side face of the lower die is provided with a temperature detection hole used for containing a thermocouple. The surface reinforced thermoplastic composite material with excellent interface performance, dimensional stability and impact resistance can be prepared, the excellent mechanical property of a continuous fiber reinforced composite material and the manufacturing flexibility of a long fiber reinforced composite material can be integrated, and the surface reinforced thermoplastic composite material has a wide application scene.

The invention provides a wind turbine generator running temperature monitoring method and system, and the method comprises the steps: installing temperature sensors at a generator, a gear box, a main shaft bearing and a cabin environment of a wind turbine generator, and collecting temperature signals in real time; filtering the acquired signal, sending the filtered signal to a reference temperature unit, and comparing the filtered signal with a standard temperature signal to obtain a deviation; calculating a compensation coefficient according to the deviation and performing temperature drift compensation on the signal; and the corrected signal is digitalized by the analog-to-digital conversion module and then input into the controller. A reference temperature unit and a compensation calculation module are arranged in an acquisition system to form an independent calibration loop. The system reads a standard temperature signal in real time and calculates the deviation while collecting the temperature signal, and then performs linear or segmented correction compensation according to the deviation, so that the measurement error of the thermocouple or the thermistor caused by environment temperature change, aging or lead resistance drift can be effectively counteracted, and the output temperature value is always kept consistent with the actual temperature.

The utility model belongs to the technical field of battery heat conductivity coefficient testing, and discloses a battery heat conductivity coefficient testing device which comprises a heating film and two liquid cooling plates. The heating film is used for being clamped between two batteries to be tested, a center thermocouple is arranged at the center of the heating film, and the center thermocouple can collect the temperature of the center of the heating film. The two to-be-tested batteries are clamped between the two liquid cooling plates, a plurality of preset point positions are respectively arranged on two outer side surfaces, which are opposite to each other, of the two to-be-tested batteries, a plurality of first thermocouples and a plurality of second thermocouples are respectively arranged on the two outer side surfaces, the plurality of first thermocouples can collect temperatures of the plurality of preset point positions on one to-be-tested battery, and the plurality of second thermocouples can collect temperatures of the plurality of preset point positions on the other to-be-tested battery. And the plurality of second thermocouples can collect the temperature of a plurality of preset point positions on another battery to be detected. The battery heat conductivity coefficient testing device can accurately and quickly measure the anisotropic heat conductivity coefficient of the battery to be tested.

The invention discloses a crystallizer slag entrapment detection method, a medium and equipment. The crystallizer comprises a copper plate, the copper plate comprises two narrow faces which are oppositely arranged, a plurality of thermocouples are arranged on each narrow face in the height direction of the copper plate at intervals, and every two thermocouples which are oppositely arranged on the two narrow faces form a thermocouple set. Acquiring a detection temperature deviation value of the two thermocouples of at least one thermocouple group; and if the at least one detection temperature deviation value is larger than or equal to a preset temperature deviation threshold value, and the duration when the at least one detection temperature deviation value is larger than or equal to the temperature deviation threshold value is larger than or equal to a preset duration, it is determined that the risk that the casting blank entraps slag exists in the steel plate. The detection accuracy of the slag entrapment of the casting blank can be improved, and the detection cost is low.

The utility model discloses a zinc impregnation furnace with a multipoint temperature acquisition wireless transmission and temperature control device, which is characterized in that a plurality of independently controlled heating devices are arranged in a hearth of the zinc impregnation furnace along the length direction, a furnace core is provided with a plurality of heating sections, a multipoint temperature measuring thermocouple is arranged in the furnace core, and each temperature measuring point corresponds to one heating section; the multi-point temperature measuring thermocouple is connected with the wireless transmitter, a wireless receiver, a signal distributor, a PIC controller and a heating device controller are arranged in the control cabinet, a temperature display instrument is arranged on the control cabinet, the wireless receiver is connected with the signal distributor, the signal distributor is connected with the PIC controller and the heating device controller, and the heating device controller is electrically connected with the heating device. The plurality of temperature measuring points are arranged in the furnace core, the temperature measuring points are used for measuring the temperature of the heating section, and the heating device controller is used for timely controlling and adjusting the working state of the heating device according to the measured temperature, so that the temperature in the furnace core is uniform, and the zinc impregnation quality of a workpiece is improved.