4361results about "Thermometers using electric/magnetic elements" patented technology

A wearable device configured to secure to skin of a user and noninvasively measure body temperature of the user can include first and second pairs of temperature sensors configured to generate one or more signals responsive to detected thermal energy, a thermally conductive element positioned at least partially between the second pair of temperature sensors, and one or more hardware processors configured to receive the one or more signals generated by each of said first and second pairs of temperature sensors and determine one or more body temperature values of the user based on at least comparisons between different ones of the first and second pairs of temperature sensors. In some implementations, the wearable device includes thermally conductive probes for transmitting thermal energy toward ones of the first and second pairs of temperature sensors and a substrate positioned between the probes and the skin.

A temperature control device includes a temperature detector, a difference operation unit, a controller, a saturation processing circuit unit, a rewritable storage unit, and a conversion unit. The difference operation unit operates a digital value corresponding to a difference value between a detected temperature value and a target temperature. The controller calculates a manipulated variable using the digital value operated by the difference operation unit. The saturation processing circuit unit includes a digital circuit to limit an output value of the controller to a pre-set upper limit value. The rewritable storage unit stores the upper limit value read from a storage area of the rewritable storage unit and input into the saturation processing circuit unit. The conversion unit converts the output value of the saturation processing circuit unit into an analog signal to output the converted value as a control command value to the heater.

The invention discloses an electricity meter terminal temperature anomaly identification method, system and device and a storage medium, and relates to the technical field of intelligent electricity meter monitoring and anomaly detection.The method comprises the steps that currents of a live line loop and a zero line loop of an intelligent electricity meter are sampled, and the deviation rate of the live line current relative to the zero line current is calculated; estimating the temperature of the terminal of the electric energy meter based on the deviation rate and by using the resistance characteristic metering error change trend of the manganese-copper shunt; and when the terminal temperature estimated value of the electric energy meter exceeds a preset threshold value, determining that the temperature of the live wire terminal is abnormal, and recording an alarm event. The method realizes real-time acquisition of current difference characteristics, provides a reliable data basis for subsequent terminal temperature estimation, realizes a method of indirectly reflecting terminal temperature rise through electrical characteristics, ensures that alarm can be triggered and a complete tracing chain can be formed when temperature abnormity occurs, and improves the accuracy of terminal temperature estimation. Therefore, the controllability of the operation safety of the electric energy meter and the completeness of post analysis are improved.

The invention discloses a platinum resistor high-precision temperature measuring device capable of automatically identifying a wiring mode. The platinum resistor high-precision temperature measuring device comprises a power supply module, a signal detection module, an isolation module, a signal processing module and a cold end temperature measuring module. The power supply module supplies power to the signal detection and processing module. The signal detection module comprises a sensing probe, a wiring identification circuit, a constant current source, a measuring circuit and an analog-to-digital conversion circuit. The sensing probe measures the measured temperature, the wiring identification circuit automatically judges a two-wire system, a three-wire system or a four-wire system and feeds back a result, the constant current source provides positive and negative constant current excitation, and the measuring circuit collects and processes feedback voltage and then sends the feedback voltage to the analog-to-digital conversion circuit. The analog-to-digital conversion circuit is connected with the signal processing module through the isolation module, and the signal processing module calls a corresponding algorithm according to a wiring identification result and outputs final temperature data. According to the invention, high-precision temperature measurement at the grade of + / -0.02 DEG C can be realized in the range of-200 DEG C to 850 DEG C under the three / four-wire system and low-speed sampling conditions.

The invention relates to the technical field of industrial temperature measurement, in particular to a high-temperature heating body hearth temperature distribution measurement method, which comprises the following steps of: establishing a quantitative mapping relation model between real-time input electric power and theoretical heating intensity of a heating body; a limited number of temperature sensor arrays are arranged at key positions of the internal space of the hearth; synchronously acquiring a real-time temperature measurement value of the temperature sensor array and real-time input electric power data of the heating body; calculating and generating theoretical temperature field distribution covering the three-dimensional geometric model; obtaining a corrected temperature value; calculating the temperature residual error of the corrected temperature value and the theoretical temperature field distributed at the corresponding position of the sensor; expanding the discrete temperature residual error into a full-space three-dimensional residual error distribution field; and outputting the three-dimensional real-time temperature distribution field of the hearth. Dynamic lag compensation and convective heat transfer compensation algorithms are adopted, lag and errors in measured values can be corrected in real time, and it is ensured that measured data at high temperature have high response speed and accuracy.

The invention relates to the field of construction temperature regulation and control, in particular to an intelligent temperature control method and device for fan foundation construction in an alpine region. The method comprises the following steps: collecting real-time concrete temperature monitoring parameters based on a distributed temperature sensor, carrying out time sequence temperature discrete trend analysis and spatial temperature fluctuation distribution evolution, and constructing a temperature fluctuation distribution evolution diagram; concrete surface environment parameters are extracted, heat exchange simulation processing is carried out on the temperature fluctuation distribution evolution diagram, multivariate coupling correlation analysis is carried out, and a temperature-environment quantitative relation model is constructed; and obtaining historical meteorological logs and meteorological environment data of the construction area, carrying out similar meteorological condition matching calculation, carrying out short-term meteorological trend prediction, and generating short-term meteorological trend prediction features. According to the dynamic temperature regulation and control requirements, safe construction of the fan foundation concrete in the high and cold environment is guaranteed, and the construction quality is 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 the technical field of state monitoring, in particular to an intelligent fuse comprising a monitoring module, and the fuse comprises a data analysis module, a steady state recognition module, a temperature analysis module, a coupling calculation module and a state calibration module. According to the method, time consistency verification and corresponding matching are carried out on temperature and current sampling, abnormal interference is eliminated in a stable current-carrying interval, a continuous sequence is formed, and a definite time relation is established between thermal response and a current-carrying state by combining analysis of accumulated deviation and change turning of the temperature along with time; the abnormal trend of slow evolution is amplified and presented, correction is carried out according to the direction consistency of multi-segment time difference change, progressive features before fusing are recognized in advance, early warning continuity and operation decision reliability are improved, misjudgment is reduced, continuous updating of state evaluation is supported, and stability of a control closed loop is improved.

The invention provides a multi-sensor fusion welding temperature monitoring method and a related device, and the method comprises the steps: dividing a welding region into a plurality of sub-regions according to the spatial distribution of the welding region, and obtaining the initial temperature data corresponding to each sub-region according to various temperature sensors; performing time alignment on the initial temperature data through difference resampling of different sampling points to generate a time sequence temperature matrix; performing real-time quality detection on the time sequence temperature matrix to generate a real-time quality score, and performing weighted combination on the real-time quality score and a preset confidence coefficient parameter table to obtain a dynamic confidence coefficient result set; fusing the effective temperature data exceeding a preset confidence threshold in the dynamic confidence result set according to a fusion rule corresponding to each sub-region to obtain a fused temperature result; and the fusion temperature results of the sub-regions are subjected to time sequence splicing to obtain a global temperature curve of the welding process, so that the accuracy of temperature detection in the welding process can be effectively improved.

The invention discloses a multi-dimensional data-based temperature prediction method and system for a power integrated module, particularly relates to the technical field of temperature measurement, and is used for solving the problems of temperature field distortion and unreliable measurement result caused by thermal disturbance introduced by a sensor in temperature monitoring of an existing power integrated module. Multi-dimensional temperature data are formed by acquiring measurement data of a plurality of temperature sensors, a virtual heat flow path is reconstructed based on temperature gradient distribution, deviation degree analysis is carried out on the virtual heat flow path and an inherent structure heat flow path of a module so as to judge thermal disturbance influence, and reference isothermal surface topological structure features are acquired when disturbance occurs. A real-time isothermal surface is constructed, a thermal disturbance space position and an influence range are identified by detecting a curvature distribution sudden change area, a local thermal conductivity correction field is established to perform thermal field reconstruction on multi-dimensional temperature data to generate correction temperature field data, and finally a temperature change trend is analyzed according to the correction temperature field data to predict a future temperature state.

The invention relates to the technical field of sensors, in particular to a high-sensitivity pressure-temperature dual-mode sensor and a preparation method thereof.The preparation method comprises the steps that a carbon nano tube is subjected to acid treatment and then reacts with a silane coupling agent KH550, and an aminated carbon nano tube is prepared; the method comprises the following steps: carrying out hydrothermal reaction on a phosphorus source and a graphene oxide aqueous solution to prepare phosphorus-doped reduced graphene oxide; the preparation method comprises the following steps: synthesizing Au-Ag heterojunction nano dispersion liquid through an Au nano seed method; mixing the three components and carrying out ultrasonic treatment to obtain mixed dispersion liquid; the preparation method comprises the following steps: modifying a PDMS substrate with KH560 and polyethylene glycol diamine to prepare a modified PDMS substrate; and coating the mixed dispersion liquid on a modified substrate to form a sensitive layer, and preparing an electrode to obtain the sensor. The aminated carbon nanotubes and the phosphorus-doped reduced graphene oxide construct a three-dimensional conductive network, so that high-sensitivity pressure detection is realized; the phosphorus-doped reduced graphene oxide and the Au-Ag heterojunction form a Schottky barrier, so that stable temperature sensing is realized; and the modified PDMS and the sensitive layer are strongly combined to improve the mechanical durability.

The invention provides a data error compensation method for a biological net port flowmeter, and belongs to the technical field of ocean detection. A multi-dimensional sensor is arranged at a biological net port to collect fluid parameters, a deep learning model is used for recognizing multi-phase flow characteristics, and a corresponding compensation strategy is selected; based on a correlation analysis algorithm, compensation processing frequency is dynamically adjusted to achieve self-adaptive balance of precision and efficiency, the flow state change degree is monitored through the Euclidean distance, compensation parameters are hierarchically adjusted to ensure system stability, a parallel processing architecture is adopted to execute coarse compensation and fine compensation algorithms at the same time, and results are fused according to weights. Finally, dynamic and accurate compensation of the measurement error of the biological net port flowmeter in the complex multiphase flow environment is achieved, and the technical problem that in the prior art, the biological net port flowmeter cannot achieve dynamic and accurate error compensation in the complex multiphase flow environment is solved.

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 relates to the technical field of electrical equipment insulation performance detection, in particular to an insulating oil dielectric loss test system based on temperature compensation, which comprises a temperature acquisition module for acquiring insulating oil temperature data and environment temperature data; the dielectric loss measurement module measures a dielectric loss value and a dielectric loss angle through a self-adaptive anti-interference algorithm, and synchronously records voltage and frequency; the intelligent compensation module matches temperature characteristic parameters for different temperature intervals, and compensates a dielectric loss detection value through a segmented temperature compensation model; the state analysis module judges the aging degree and state of the insulating oil according to the compensated dielectric loss value and acid value, generates a multi-stage early warning signal and a diagnosis report by combining the breakdown voltage and the moisture content, and dynamically adjusts the test frequency according to the oil sample type and the operating age limit; and the cloud management platform stores historical data and compensation parameters, establishes a performance degradation model, analyzes a dielectric loss trend and generates maintenance suggestions. Therefore, the problems of insufficient test precision, poor environmental adaptability and the like in the prior art are solved.

The invention relates to the technical field of thermistor temperature measurement, in particular to a temperature measurement detection device for a thermistor, which comprises a substrate and a handpiece, a to-be-measured resistor is mounted on the outer side wall of the substrate, an inner cylinder is fixedly connected to the end part of the handpiece, a top magnetic block is fixedly connected to the interior of the inner cylinder, and a top magnetic block is fixedly connected to the top magnetic block. A probe switching mechanism is arranged in the inner cylinder and comprises a rotating rod rotationally connected into the inner cylinder, a gear is fixedly connected to the outer side wall of the rotating rod, a push rod is slidably connected to the inner cylinder, and a rack is arranged at the end of the push rod. When an operator presses down the handheld piece, the swing arm can synchronously drive the two cleaning pieces to move towards the two sides, the cleaning brush directly cleans the surface of the resistor to be measured, extra manual cleaning is not needed, obstruction of dust residues to heat conduction is effectively avoided, and a precise foundation is laid for subsequent temperature measurement.

The utility model relates to an armored temperature and pressure integrated sensor, and the sensor comprises an armored housing which comprises a housing body and a sleeve connected with the housing body, and the sleeve is internally provided with a closed cavity; the circuit board is arranged in the armored shell; the temperature sensing element is mounted in the closed cavity; the support is arranged in the armored shell and comprises a support body, a metal terminal is arranged in the support body, one end of the metal terminal extends into the armored shell to be connected with the temperature sensing element, and the other end of the metal terminal extends out of the support body to be connected with the circuit board; and the pressure sensing element is mounted in the bracket and connected with the circuit board, and the pressure sensing element is used for detecting the pressure of an external pressure source. While temperature and pressure are measured synchronously, the excellent performance of the armored shell effectively protects internal elements from external physical impact, electromagnetic interference, severe temperature fluctuation and the like, it is ensured that the sensor can work stably and reliably in a complex environment and a complex medium, and the measurement precision is ensured.

The invention relates to the technical field of gas detection, in particular to a detection circuit based on an NTC thermistor and a heat conduction meter. The detection circuit based on the NTC thermistor comprises a main NTC thermistor which is suspended in air flow; the constant current source circuit is used for providing constant working current for the main NTC thermistor; the detection resistor is arranged between the main NTC thermistor and a ground node; the ADC sampling circuit is used for sampling analog voltages at two ends of the detection resistor into digital signals; the constant temperature adjusting circuit is used for controlling the magnitude of the current output by the constant current source circuit according to the voltage of the main NTC thermistor, so that the main NTC thermistor is kept at the target temperature; the temperature compensation circuit is used for detecting the temperature of the environment where the heat conduction measuring meter is located; and the processing unit is used for determining a detection result according to the digital signal and compensating the detection result according to the environment temperature. According to the detection circuit based on the NTC thermistor, the response speed and the measurement precision of measurement are improved.

The invention discloses a quick response flexible temperature sensor with low thermal crosstalk and a preparation method thereof. The sensor comprises a contact layer, a sensing layer, an electrode layer and a substrate layer, wherein the contact layer comprises a heat conduction layer and a heat insulation network; the heat-conducting layer is made of a heat-conducting composite material and comprises polydimethylsiloxane and flake carbon powder; the heat insulation network and the substrate layer are made of a heat insulation composite material which comprises polydimethylsiloxane and hollow glass microspheres; the sensing layer comprises a plurality of sensing units arranged in an array, the sensing units are connected with the electrode layer and output resistance signals, the heat conduction layer and the substrate layer are arranged over and under the sensing units respectively, and the heat conduction and heat insulation synergistic structure can enhance the quick response of the sensing units to the temperature; a thermal insulation network is embedded in the contact layer to block thermal crosstalk between adjacent sensing units. The temperature sensor has the advantages of quick response, low thermal crosstalk and high reliability in a wide range, and large-scale production and preparation can be realized.

The invention relates to a shielding type total temperature probe, the end part of the total temperature probe is provided with a fixing part, the fixing part is fixedly provided with a shielding cover, the shielding type total temperature probe comprises a pair of thermocouple wires which are fixedly arranged on the fixing part, and the top end parts of the pair of thermocouple wires are positioned in the shielding cover and are fixedly provided with a temperature sensing element together; the vortex generators are fixedly installed on the inner wall of the shielding cover at intervals in the circumferential direction, and the vortex generators are arranged downwards in an inclined mode; an air inlet is formed in the top end of one side face of the shielding cover, and an air outlet is formed in the bottom end of the other side face of the shielding cover, so that airflow enters the shielding cover from the air inlet, flows through the vortex generator and then flows out from the air outlet. The total temperature probe can improve the temperature of the inner wall surface of the shielding case and reduce radiation errors; due to the introduction of the vortex generator, the airflow resistance is increased, the airflow temperature of a larger proportion is converted into the airflow total temperature, and the speed error is reduced; and the size and the arrangement mode of the vortex generator can be changed in a targeted manner according to different test environments, so that a high-precision airflow total temperature measurement result can be obtained.

The invention relates to the technical field of radiator monitoring, and particularly discloses a radiator heat dissipation performance dynamic test system, which is characterized in that a heat source simulation body is arranged on a heat transfer interface of a radiator, and a high-fidelity dynamic electric power load is applied to the heat source simulation body to simulate an actual working condition; radiating a microwave detection signal to a space where the heat source simulator is located and receiving a multi-path scattering response signal; the three-dimensional dielectric constant dynamic distribution of the heat source simulation body is reconstructed by solving the inverse scattering problem fused with the space-time constraint; according to the material dielectric constant-temperature relation mapping, three-dimensional temperature field dynamic distribution is generated; and finally, intelligently identifying and extracting a migration track and a temperature change curve of the highest temperature point in the space from the continuous time sequence temperature field data, and taking the migration track and the temperature change curve as a direct evaluation basis for the dynamic heat dissipation performance of the radiator. According to the method, lossless, full-field, real-time visualization and quantitative analysis of the migration process of the dynamic hot spots in the hidden heat source are realized, and the authenticity of the dynamic heat test is improved.

A temperature probe is mountable within a thermowell having an inner bore having an end shape at an end. The temperature probe includes a probe body configured to be mounted within a thermowell. A temperature sensitive element is disposed within the probe body and has an electrical characteristic that varies with temperature. An end cap is connected to the probe body and has a surface profile shaped to match the end shape of the bore of the thermowell. A temperature measurement system is also provided that employs a thermowell and a temperature probe having a geometrically matching end cap.

The invention provides a high-voltage switch cabinet fault monitoring method and system, and belongs to the technical field of power equipment monitoring, and the method comprises the steps: obtaining the temperature data of each temperature monitoring point in a high-voltage switch cabinet; the concentration data of the characteristic gas in a target area is obtained, and the target area is a circular target area determined with each temperature monitoring point in the high-voltage switch cabinet as the center and the preset distance as the radius; determining an incidence relation between each temperature data and the concentration data of the characteristic gas according to the temperature data and the concentration data of the characteristic gas; and determining the change trend of the concentration data of the characteristic gas according to the association relationship, and monitoring the fault trend of the high-voltage switch cabinet according to the change trend. According to the high-voltage switch cabinet fault monitoring method and system provided by the invention, the accuracy and timeliness of high-voltage switch cabinet fault monitoring can be improved, and stable operation of a power system is ensured.

The invention relates to the technical field of boiler temperature measurement, and discloses a boiler furnace temperature field measurement system based on multi-sensor fusion. According to a temperature acquisition module of the system, a plurality of groups of infrared temperature measurement sensors and thermocouple sensors are arranged in preset space grids of a boiler hearth, and real-time temperature data of each space grid are synchronously acquired; the data fusion module performs time alignment and space registration on the acquired data to generate a space-time synchronous original temperature data set; the noise suppression module performs multi-scale decomposition on an original data set based on wavelet transform, extracts a high-frequency noise component and performs adaptive filtering, and outputs a temperature data sequence after noise reduction; the temperature field reconstruction module reconstructs a hearth three-dimensional temperature field distribution model through a radial basis function interpolation algorithm according to the denoised data sequence; and the dynamic compensation module calculates the heat conduction lag compensation amount of the temperature field distribution model according to the flowing speed of the flue gas in the hearth and the working condition parameters of the combustor, and generates a compensated dynamic temperature field model.

A cell module for an electrical energy storage device of a motor vehicle includes at least one cell structure made up of energy storage cells, a metallic cell module frame, enclosing the at least one cell structure, for clamping the energy storage cells, and a measuring device for detecting a deformation of the cell module frame related to cell expansion. The measuring device includes a passive resistive extension sensor having a deformation-dependent electrical resistance and a measuring unit connected to the extension sensor to output an electrical measurement signal characterizing the deformation-dependent electrical resistance of the extension sensor. The extension sensor is formed by the metallic cell module frame, with which the measuring unit is electrically contacted.

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 an explosion-proof electric appliance overcurrent and temperature rise wireless test system and method based on ultrasonic communication, and relates to the technical field of explosion-proof electric appliance temperature rise tests. The system comprises a temperature acquisition device, an ultrasonic through-wall communication device, an overcurrent protection time acquisition device, a data receiving and storing device and a digital display operation table, wherein the output end of the temperature acquisition device is connected with the input end of the ultrasonic through-wall communication device, the output end of the ultrasonic through-wall communication device is connected with the input end of the data receiving and storing device through wireless communication, and the output end of the overcurrent protection time acquisition device is connected with the input end of the data receiving and storing device; and the data receiving memory is connected with the digital display console through a bidirectional data channel. According to the invention, the anti-interference performance and the test precision of temperature measurement are enhanced, and the multi-node distributed monitoring capability is provided through multi-channel data transmission, so that the overall efficiency of the internal temperature and overcurrent protection monitoring of the explosion-proof electric appliance is greatly improved.

The invention relates to the technical field of sensors, in particular to a passive wireless temperature sensing method for a high-temperature strong electromagnetic interference environment. Comprising the following steps that a temperature signal is collected through a sensing circuit, and the sensing circuit comprises an inductor and a capacitor; obtaining a resonance signal by utilizing magnetic coupling of a reading circuit and the sensing circuit; processing the resonance signal to obtain a temperature measurement value; the resonant frequency is dynamically corrected by considering the coupling effect of the temperature, the coil line width thermal expansion, the parasitic capacitance temperature coefficient and the working frequency; the mutual inductance coefficient is compensated by considering the cooperative influence of the magnetic conductivity, the loss angle tangent and the coupling distance; errors caused by electromagnetic interference are corrected through beat frequency characteristics of the electromagnetic interference frequency and the resonant frequency, and the multi-physical-field coupling influence under the high-temperature and strong-electromagnetic-interference environment can be dealt with.

The invention discloses a thermistor mounting method and related equipment. The thermistor mounting method comprises the following steps: applying micro-power alternating bias excitation to a thermistor to obtain cold-state thermal resistance reference data; mounting a thermistor on the surface of the solder paste, collecting real-time resistance data in a temperature rise process, and performing normalized difference according to cold-state thermal resistance reference data to obtain a normalized dynamic resistance curve; performing derivative continuity and extreme value distribution analysis on the curve to obtain a wetting connectivity index; when the wetting connectivity index reaches a preset threshold value, executing second-order extreme value spacing analysis to obtain interface heat flux density distribution, calculating an interface thermal resistance dispersion vector field, and adjusting the transmission chain speed and furnace chamber airflow parameters according to the interface thermal resistance dispersion vector field; and a backtracking dynamic resistance curve is obtained in the cooling process, and the backtracking dynamic resistance curve and the standardized dynamic resistance curve are differentiated to obtain a curing quality factor. According to the invention, real-time identification in a defect germination stage and instant correction in a solder solidification window stage in a thermistor mounting process can be realized, and the mounting quality and reliability are improved.

The invention relates to a battery clamp test tool and a test method, belongs to the technical field of battery test tools, and solves the technical problem of thermal runaway linkage diffusion caused by dense arrangement of battery cells in the prior art. The battery clamp test tool comprises a temperature sensor used for collecting battery temperature data in real time; the electric clamping jaw is used for clamping a battery tab and automatically bounces off to cut off a charging and discharging loop when the temperature is increased abnormally; the liftable barrier plate is used for isolating an abnormal battery during thermal runaway; the fire extinguishing device is used for spraying a fire extinguishing agent to the abnormal battery; and the control device is used for controlling the electric clamping jaw, the liftable barrier plate and the fire extinguishing device to act according to the temperature data. According to the invention, early warning is carried out on the abnormal battery through the temperature sensor, the abnormal battery is isolated by adopting the liftable barrier plate, and the fire extinguishing agent is sprayed to the abnormal battery by adopting the fire extinguishing device, so that thermal runaway linkage diffusion is reduced, and the safety and reliability of the battery testing process are improved.

The invention provides a high-voltage cable outer sheath insulation state monitoring system and method, and the system comprises a multi-mode sensing layer which monitors the insulation state of a cable outer sheath in real time through a multi-mode sensor; the edge calculation layer is used for carrying out data preprocessing and preliminary abnormity judgment on site; the cloud computing layer is used for carrying out multi-modal data analysis and carrying out fault prediction and risk assessment based on a deep learning technology; and the self-adaptive diagnosis and decision-making layer is used for generating an insulation risk grade and a maintenance suggestion based on a multi-source data analysis result and outputting a decision-making instruction. The multi-mode sensing technology is utilized, edge computing and cloud computing are combined, the limitation of a traditional single detection technology is broken through, and the problems that the false alarm rate is high, fault positioning is inaccurate, and environmental adaptability is lacked are solved.