15 results about "Temperature Increment" patented technology

The invention discloses a telescope main reflection surface shape real-time evaluation and on-demand adjustment integration method. An adjustment reference attitude and a reference temperature field are used as error zero points, and the whole process is calculated based on relative quantity. A gravity deformation database, a three-dimensional Chebyshev (or Legendre) temperature basis function unit response deformation database and a temperature control actuator unit temperature change influence matrix database are established offline. Regular least square fitting is performed on temperature sensor data on line to obtain a temperature coefficient, linear combination is performed to obtain relative displacement caused by temperature, the relative displacement and relative displacement caused by gravity are superposed to form relative node coordinates, and a reference surface is fitted to output a surface shape relative RMS. And solving quadratic programming based on first-order linearization under temperature upper and lower limits and smoothness constraint to obtain an actuator temperature increment instruction, and issuing the actuator temperature increment instruction, thereby realizing closed-loop compensation without online thermal-structural coupling and absolute morphology measurement.

According to an embodiment of the disclosure, a display device includes a display unit including a plurality of areas, a driver integrated circuit including a plurality of integrated circuits driving the display unit, and a storage medium configured to store temperature information of the display unit. Each of the temperature information includes data for temperature increment values for each area of the display unit when the driver integrated circuit is driven.

This invention discloses a streaming computing engine system and method applicable to various scenarios, relating to the field of streaming computing technology. It includes: a mismatch assessment module for calculating the mismatch margin of the RF link based on the characteristic impedance of the RF transmission line, cable type tolerance, and the equivalent input impedance of the cellular module at the RF port; a thermal and humidity characteristic module for calculating the initial temperature difference of the metal plate penetrating the compartment in a metal control cabinet, and calculating the thermal conductivity enhancement ratio and moisture retention coefficient of the cold bridge in the condensation joint area on the metal plate penetrating the compartment; and a temperature compensation increment module for calculating the target compensation temperature increment of the metal plate penetrating the compartment based on the thermal conductivity enhancement ratio, moisture retention coefficient, and initial temperature difference of the cold bridge. This invention improves the accuracy of RF link health status determination.

This application provides a method for constructing a MOSFET simulation model, a method for simulating MOSFET leakage current, and an electronic device. The model includes target simulation parameters for characterizing the relationship between the MOSFET leakage current and temperature. The method for constructing the MOSFET simulation model includes: obtaining the measured leakage current of the MOSFET at multiple test temperatures and the temperature increment of each test temperature relative to a reference temperature; fitting the relationship between the measured leakage current and the temperature increment using a monotonically increasing exponential polynomial model as the fitting model to obtain a fitting result; and assigning the fitting result to the target simulation parameters if the error between the simulated leakage current and the measured leakage current at any test temperature obtained based on the fitting result falls within a specified error range, thereby obtaining the target MOSFET simulation model. This application improves the accuracy of the MOSFET simulation model in simulating leakage current.

The invention provides an industrial heating furnace temperature prediction method and device based on deep learning, and a storage medium, and belongs to the technical field of temperature prediction, and the method comprises the steps: collecting the operation data of an industrial heating furnace, and carrying out the preprocessing; constructing a temperature prediction network model, and standardizing input data; constructing an input projection layer extension feature number; two layers of gating circulation units are constructed, and two stages of GRU networks are arranged and are connected through residual errors; the first-stage GRU network learns a time dependency relationship of the input data, and outputs a hidden state sequence to a second-stage GRU network to extract key time sequence context information; an output layer is constructed, final temperature prediction and normalization are carried out, an output temperature increment is subjected to destandardization, and an actual temperature value is obtained; performing hyper-parameter training on the temperature prediction network architecture to obtain a temperature prediction network model with a temperature change prediction function; and predicting the temperature prediction network model by using actual data to obtain a temperature prediction result.

The application discloses a kind of temperature intelligent early warning method, device, equipment and medium of control cabinet, is related to control cabinet temperature early warning field, the method first determines the initial three-dimensional temperature field distribution nephogram according to the three-dimensional coordinates of N preset positions in target control cabinet and corresponding measured temperature value, it is fused with the two-dimensional infrared temperature distribution image of each surface of cabinet body, the fusion temperature of N preset positions is obtained by the three-dimensional temperature field distribution nephogram after fusion.Through the real-time load current of target control cabinet, fan state and ambient temperature are input to the position temperature prediction model trained, obtain the predicted temperature of N preset positions, superimpose preset temperature increment, obtain dynamic early warning temperature threshold, when fusion temperature exceeds dynamic early warning threshold, intelligent alarm is realized.The application adjusts early warning temperature threshold dynamically by real-time working condition, effectively solves the problem that false alarm is frequent or alarm is lagging.

The embodiment of the invention provides a construction method of an MOSFET (Metal-Oxide-Semiconductor Field Effect Transistor) simulation model, a simulation method of MOSFET leakage current and electronic equipment. The model comprises a target simulation parameter used for representing a change relation of the leakage current of the MOSFET along with temperature. The construction method of the MOSFET simulation model comprises the following steps: obtaining measured leakage current of an MOSFET at a plurality of test temperatures and a temperature increment of each test temperature relative to a reference temperature; a monotonically increasing exponential polynomial model is used as a fitting model, the change relation of the measured leakage current along with the temperature increment is fitted, and a fitting result is obtained; under the condition that the error between the simulated leakage current and the measured leakage current at any test temperature obtained based on the fitting result falls into a specified error range, the fitting result is endowed with target simulation parameters, and a target MOSFET simulation model is obtained. According to the embodiment of the invention, the simulation accuracy of the MOSFET simulation model on the leakage current is improved.

The invention discloses a streaming computation engine system and method suitable for various scenes, and relates to the technical field of streaming computation, and the system comprises a mismatch evaluation module which is used for calculating the mismatch margin of a radio frequency link based on the characteristic impedance of a radio frequency transmission line, the cable type spectrum tolerance and the equivalent input impedance of a honeycomb module at a radio frequency port; the heat and humidity characteristic module is used for calculating the initial temperature difference amount of the cabin-penetrating metal plate in the metal control cabinet and calculating the heat conduction enhancement ratio and the humidity retention coefficient of a cold bridge of a condensation joint area to the cabin-penetrating metal plate; and the temperature compensation increment module is used for calculating a target compensation temperature increment of the cabin-penetrating metal plate based on the heat conduction enhancement ratio, the moisture retention coefficient and the initial temperature difference amount of the cold bridge to the cabin-penetrating metal plate. According to the invention, the discrimination precision of the health state of the radio frequency link is improved.

The invention discloses a fire-fighting fire point location accurate tracking method based on distributed optical fibers, and particularly relates to the technical field of fire monitoring and safety early warning. The method comprises the following steps: acquiring an initial temperature distribution sequence along an optical fiber, periodically acquiring temperature data in a monitoring process, identifying a temperature abnormal section according to temperature increment distribution, extracting a temperature rise gradient feature and a spatial diffusion width feature of the abnormal section, and calculating an asymmetric temperature rise gradient coefficient and a thermal diffusion offset index so as to construct an abnormal feature set; constructing a thermal diffusion evolution model according to the abnormal feature set, and performing reverse heat source fitting calculation on the temperature abnormal section to obtain a candidate fire point position set; according to the method, the location deviation caused by thermal diffusion and environmental disturbance can be effectively inhibited, and the accurate identification and dynamic tracking of the early fire source position in the complex environment can be realized. The candidate fire point position set at a plurality of consecutive moments is subjected to trajectory correlation analysis, and the point position with the minimum spatial drift and the continuously increased temperature rise is screened out as the target fire point. The method is advantaged in that the positioning deviation caused by thermal diffusion and environmental disturbance can be effectively inhibited, and the early fire source position in the complex environment can be accurately identified and dynamically tracked.

Managing thermal capabilities of an information handling system, including identifying a maximum supported ambient temperature of the information handling system; identifying a current ambient temperature of the information handling system; calculating a temperature delta based on the maximum supported ambient temperature of the information handling system and the current ambient temperature of the information handling system; adjusting, based on the temperature delta, one or more thermal control trigger points; adjusting, based on the adjusted thermal control trigger points, a fan speed of a fan of the information handling system; and determining, based on the adjusted fan speed of the fan, an updated cooling capacity associated with the information handling system.

This invention discloses a method for precise tracking of fire ignition points based on distributed optical fibers, specifically relating to the field of fire monitoring and safety early warning technology. The method involves acquiring the initial temperature distribution sequence along the optical fiber and periodically collecting temperature data during monitoring. Temperature anomaly segments are identified based on the temperature increment distribution, and the temperature rise gradient characteristics and spatial diffusion width characteristics of these anomaly segments are extracted. The asymmetric temperature rise gradient coefficient and thermal diffusion offset index are calculated to construct an anomaly feature set. A thermal diffusion evolution model is constructed based on this feature set, and reverse heat source fitting calculations are performed on the temperature anomaly segments to obtain a set of candidate ignition point locations. Trajectory correlation analysis is conducted on the candidate ignition point locations at multiple consecutive time points, and the point with the smallest spatial drift and continuously increasing temperature rise is selected as the target ignition point. This invention can effectively suppress positioning deviations caused by thermal diffusion and environmental disturbances, achieving precise identification and dynamic tracking of early fire source locations in complex environments.

The invention relates to the technical field of numerical simulation, and discloses a laser irradiation heat effect analysis method and device for a semiconductor material, and the method comprises the steps: initializing a background grid of the semiconductor material, carrying out the dispersion of material points, and enabling the carriers and crystal lattices of the semiconductor material to adopt the same material points; calculating a shape function between the material point and the background grid and a reciprocal of the shape function; time step iteration is carried out on the carriers and the crystal lattices in each load step, the total temperature increment of the carriers and the crystal lattices after each time step iteration is updated on the background grid, the updated total temperature increment is mapped back to the material point based on the shape function and the reciprocal of the shape function, and the temperature of the material point is updated; and judging whether a preset termination condition is met or not, and outputting the temperatures of the material points corresponding to the carriers and the lattices after the preset termination condition is met, so that the calculation precision of the temperatures of the carriers and the lattices can be improved, and the spatio-temporal evolution law of the temperatures of the carriers and the lattices in laser irradiation can be accurately simulated.

This invention discloses a method, apparatus, medium, and equipment for optimizing heat dissipation in control cabinets, relating to the field of control cabinet heat dissipation. The method includes determining a first temperature threshold and a second temperature threshold based on the average historical temperature within the control cabinet, the current maximum temperature, and a preset safe temperature increment; determining the fundamental frequency of the pump in the cooling system within the control cabinet based on the total power, rated power, and the average turbulence factor of the protruding structures within the cooling pipes of the cooling system; and determining the pump's output frequency based on the current maximum temperature, the first temperature threshold, the second temperature threshold, and the pump's fundamental frequency, thereby determining the drive signal used to control the pump. This invention determines the pump's output frequency based on the real-time maximum temperature within the control cabinet, thereby altering the coolant flow rate, enhancing heat dissipation in high-heat areas, reducing energy consumption and noise in low-heat areas, avoiding prolonged high-intensity pump operation, and extending the pump's service life to a certain extent.

The invention discloses a heat dissipation optimization method and device of a control cabinet, a medium and equipment, and relates to the field of heat dissipation of the control cabinet, and the method comprises the steps: determining a first temperature threshold value and a second temperature threshold value based on an average value of historical temperatures in the control cabinet, a current temperature maximum value and a preset safe temperature increment; determining the basic frequency of a pump of the cooling system in the control cabinet based on the total power and the rated power of the control cabinet and the average turbulent flow factor of a convex structure in a cooling pipeline of the cooling system in the control cabinet; based on the current temperature maximum value, the first temperature threshold value, the second temperature threshold value and the basic frequency of the pump, the output frequency of the pump is determined, and therefore a driving signal used for controlling the pump is determined. The output frequency of the pump is determined according to the real-time maximum temperature value in the control cabinet, so that the flow speed of cooling liquid is changed, heat dissipation of a high-heating area is enhanced, energy consumption and noise of a low-heating area are reduced, long-time high-intensity work of the pump is avoided, and the service life of the pump is prolonged to a certain extent.

The invention discloses an intelligent temperature early warning method, device and equipment for a control cabinet and a medium, and relates to the field of temperature early warning of the control cabinet, and the method comprises the steps: determining an initial three-dimensional temperature field distribution cloud chart according to three-dimensional coordinates of N preset positions in a target control cabinet and corresponding measurement temperature values; and the three-dimensional temperature field distribution cloud picture is fused with the two-dimensional infrared temperature distribution image of each surface of the cabinet body, and fusion temperatures of N preset positions are obtained through the fused three-dimensional temperature field distribution cloud picture. And inputting the real-time load current, the fan state and the environment temperature of the target control cabinet into the trained position temperature prediction model to obtain predicted temperatures of N preset positions, superposing preset temperature increments to obtain a dynamic early warning temperature threshold, and when the fusion temperature exceeds the dynamic early warning threshold, realizing intelligent alarm. The early warning temperature threshold value is dynamically adjusted through the real-time working condition, and the problem of frequent false alarm or alarm lag is effectively solved.