2782 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 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 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 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 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 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 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 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 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 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.

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 provides a mountain power station current collection system state monitoring method and device based on digital twinning, and relates to the technical field of communication, and the method comprises the steps: constructing a temperature strain transmission theoretical model corresponding to a cable and an optical fiber, and a box transformer system three-dimensional model, and determining the position of a measurement point; the position of the first measuring point is monitored in real time through Brillouin optical time domain analysis, first temperature data and first strain data in the cable are obtained, the position of the second measuring point is monitored in real time through a thermocouple and ZigBee, and second temperature data in the box transformer substation are obtained; and optimizing the mountain power station current collection multi-scale digital twin system by using the first temperature data, the first strain data and the second temperature data to obtain a target digital twin system so as to evolve the temperature-strain state of the mountain power station current collection system in real time. Temperature-stress field data in the cable system and temperature distribution data of key measuring points in the box transformer substation are determined, and the monitoring precision, real-time performance and reliability of the current collection system in the complex mountain environment are improved.

The invention provides a dynamic compensation processing method and system for thermocouple signals. The method comprises the following steps: acquiring response delay data of a thermocouple at different heating rates, synchronously acquiring surface temperature change data of a measured object, establishing a correlation model of the two to form a compensation database, then arranging a heat dissipation device, analyzing a heat transfer path according to temperature distribution data, and generating a thermal resistance distribution diagram; based on distribution characteristics of a thermal resistance peak region, an optimized heat dissipation channel is constructed, a thermocouple dynamic response signal is further aligned with a temperature data time domain, frequency domain decomposition is carried out to separate interference signals, and finally a dynamic compensation coefficient is reconstructed by combining a contact point resistance parameter of a thermal resistance distribution diagram and a heat dissipation channel adjustment parameter. And closed-loop iteration correction is carried out to realize dynamic compensation optimization. According to the application, through heat conduction parameter modeling, heat dissipation channel optimization and closed-loop signal correction, the measurement precision and response efficiency of the thermocouple in a dynamic temperature field are significantly improved.

The invention discloses a new energy battery environmental adaptability detection system and detection method, relates to the technical field of new energy battery detection, and is used for solving the problem that thermal mismatch type hidden faults cannot be accurately pre-judged. The method comprises the following steps: extracting thermal physical parameters of the surface of a battery by combining thermal infrared imaging, calculating a thermal inertia value and adjusting a preset area, acquiring an internal and external temperature difference by utilizing an embedded thermocouple, evaluating a thermal risk by combining a temperature gradient and generating a risk score, and monitoring micro-strain by adopting a flexible strain array for a high-risk area. A thermal mismatch phenomenon is identified by combining a support vector machine based on a Pearson coefficient and frequency domain features, and finally a mismatch position is accurately positioned through structural similarity index and gravity center trajectory analysis, so that high-precision thermal risk identification and region screening are realized, and the battery environmental adaptability detection reliability is improved.

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 discloses ultrafast photo-thermal PCR amplification equipment and a use method. The ultrafast photo-thermal PCR amplification equipment comprises a shell, and a laser probe and an infrared temperature sensor are arranged in the shell; a chip rack is arranged in the shell, and a chip to be tested is placed in the chip rack; the laser probe is located on one side of the chip frame, the infrared temperature sensor is located on the other side of the chip frame, and the laser probe inclines upwards in the vertical direction. An embedded industrial all-in-one machine is installed on the shell, and the output end of the infrared temperature sensor is connected with the input end of the embedded industrial all-in-one machine. An excitation light source of the laser probe and a coupling non-contact infrared temperature measurement sensor can realize temperature control of nanoparticles in different batches, the ultrahigh temperature change requirement of PCR is met, infrared temperature measurement control replaces a traditional thermocouple to serve as a temperature feedback device, the phenomenon of reagent pollution caused by contact measurement is avoided, and the detection accuracy is improved. The accuracy of later data detection is ensured, and the laser probe is inclined upwards along the vertical direction, so that a PCR reaction area is fully covered.

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 utility model discloses a high-temperature specific heat capacity tester which comprises a main control cabinet, a heating device, a connecting sleeve and a detection device, the heating device is fixedly installed on the detection device through the connecting sleeve, the detection device is fixedly installed on the main control cabinet, the heating device comprises an electric furnace, a test sample is hung in a heating hearth through a high-temperature-resistant wire to be heated, and the electric furnace is connected with the electric furnace. The detection device comprises an outer box body connected with the connecting sleeve, a constant-temperature heat insulation screen cover is installed in the outer box body, a temperature-controllable heat insulation screen cover is installed in the constant-temperature heat insulation screen cover through an insulation support, a heat measuring block is installed in the temperature-controllable heat insulation screen cover through an insulation support, and an electric heating tube and a thermocouple are arranged on the heat measuring block. A heating resistance wire is arranged on the side wall of the temperature-controllable heat insulation shield, a temperature difference thermopile is arranged between the heating resistance wire and the calorimetric block, and a copper pipe used for introducing constant-temperature hot water is wound on the side wall of the constant-temperature heat insulation shield. The high-temperature specific heat capacity tester disclosed by the utility model is high in measurement precision, simple to operate and small in size.

The invention discloses a vein radiofrequency ablation system based on parallel thermocouple temperature measurement, and relates to the field of medical instruments, the vein radiofrequency ablation system comprises a host control module, a temperature signal transmission module, a thermocouple temperature measurement module, a radiofrequency energy generation module and a catheter heating module, the thermocouple temperature measurement module at least comprises two parallel thermocouples; the host control module is used for fusing the temperature data of the plurality of temperature measuring points and calculating an average temperature, performing abnormal judgment on the average temperature according to a temperature abnormity automatic power-off control strategy, and dynamically triggering a radio frequency energy closing instruction; on the premise of not changing the original size and structure of the catheter and the operation method of a doctor, in a heating unit with a finite length of the catheter, real-time monitoring of local temperature distribution is realized and temperature abnormity is judged by adopting a multi-point parallel temperature measurement scheme, so that when the temperature of a local temperature measurement point is abnormally increased, radio frequency energy output is quickly closed, and the heating efficiency is improved. Further temperature rise is avoided, and adverse events such as tube burning or blood tube burning are prevented.

The utility model relates to the technical field of composite material casting, and discloses a high-temperature curing thermosetting resin casting body forming device which comprises a supporting assembly, a mold assembly and a temperature control assembly. The supporting assembly is used for clamping and supporting the mold assembly. The mold assembly comprises a left heating plate, a right heating plate, a left mold plate, a right mold plate, a bow-shaped clamp, a plug piece and a U-shaped frame, a temperature measuring hole is formed in the top of the left mold plate or the right mold plate, the U-shaped frame is clamped by the left mold plate and the right mold plate through fastening bolts, the left mold plate and the right mold plate are clamped by the left heating plate and the right heating plate on the left side and the right side, and the plug piece is plugged into the left side, the right side and the bottom of the U-shaped frame. The temperature control assembly comprises a thermocouple and a temperature controller which are arranged in the temperature measuring hole. According to the utility model, the structure is simple, no special equipment is needed for curing in the curing process, the curing process at the outlet of the U-shaped frame can be conveniently observed through naked eyes, the curing process is immediately adjusted, bubbles in a casting body are reduced as much as possible, and the quality of the casting body is improved.

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 post-processing type multipurpose measuring sensor based on a calibration integral equation method and a measuring method.The sensor body is made of a cylindrical stainless steel heat conduction material, one end of the stainless steel heat conduction material is a measuring end, the other end of the stainless steel heat conduction material is a heat insulation end, and the stainless steel heat conduction material is wrapped with a heat insulation material; and a thermocouple is arranged between the stainless steel heat conduction material and the heat insulation material. The sensor is provided with a slender and exquisite structure, supports probe type operation, can be inserted into a detected body through punching, avoids dependence on surface attachment, keeps high precision within an error range, and better meets the requirements for flexibility and practicability of the sensor in industrial production.

The invention provides a primary and secondary fusion complete ring main unit cooling device dynamic optimization method, and belongs to the technical field of ring main unit cooling optimization based on deep learning. A dynamic monitoring data set comprising a ring main unit thermal field monitoring data set and a thermal coefficient monitoring data set is constructed, the thermal field monitoring data set is constructed through five-view infrared image splicing and high-density thermocouple calibration, and the thermal coefficient monitoring data set is constructed through combination of mechanical data such as vibration and stress and manual calibration; constructing a thermal coefficient sensing model, and evaluating a heat production coefficient and a heat dissipation coefficient of the ring main unit in real time based on force field data through three-branch feature extraction and adaptive weighted fusion; constructing a thermal field sensing model, and adopting an extractor-reconstructor architecture and a cross-layer feature fusion device to realize full-scene temperature sensing; and a cooling optimization control algorithm is designed, thermal field distribution and thermal coefficients are combined, self-adaptive adjustment is performed on seven cooling device parameters such as the fan rotating speed and the liquid cooling flow speed through multi-objective optimization, and refined cooling control is realized.