90 results about "Temperature mapping" patented technology

The invention discloses a temperature self-adaptive adjustment control method and system for an automobile sensor, and relates to the technical field of automobile sensors, and the temperature self-adaptive adjustment control method for the automobile sensor comprises the following steps: S1, obtaining data; s2, performing classification and label addition on the data to form a data set; s3, extracting core temperature characteristic parameters, and constructing a four-dimensional temperature mapping matrix; s4, introducing an ant colony algorithm to iteratively optimize a temperature dynamic weighting rule, and obtaining an adjustment target and a change trend; s5, generating a regulation control strategy, and constructing a temperature fusion regulation feedback model at the same time; s6, performing iterative verification on the model, and generating a sensor three-dimensional verification report; and S7, performing security judgment on the three-dimensional verification report of the sensor. According to the method, through multi-source sensing data acquisition and segmented labeling preprocessing, temperature local mutation features and long-time time sequence dependence features are captured, and temperature data heterogeneity of traditional single-model feature extraction is broken.

The invention relates to a calender roll partition electromagnetic temperature control and infrared thermal imaging feedback system, which belongs to the field of fluoroplastic calendering thickness control equipment and comprises a data preprocessing module, a roll surface temperature zone digital twinborn analysis module, a time sequence temperature and thickness correlation module and a fusion regulation and power correction module. The data preprocessing module establishes a film surface gray scale-temperature mapping relation and outputs effective temperature data; the roller surface temperature zone digital twinborn analysis module constructs a roller surface-film surface coupling thermal field digital twinborn model to generate a temperature thermodynamic diagram, and outputs a temperature deviation value and thermal crosstalk early warning information of an independent temperature zone in combination with a temperature zone thermal crosstalk model; the time sequence temperature and thickness correlation module establishes a temperature deviation-thickness fluctuation basic correlation model and outputs thickness data; the fusion regulation and power correction module corrects the independent temperature zone coil power regulation quantity and outputs a power regulation instruction based on a multi-parameter dynamic weight distribution mechanism; the system solves the problem that traditional temperature control precision is low, and the temperature control precision and product quality of the fluorine plastic film are improved.

The invention discloses a heating monitoring method for a stainless steel seamless tube in a heat treatment furnace, which belongs to the technical field of metal heat treatment and specifically comprises the following steps: acquiring an electromagnetic induction signal of a steel tube in rotation advancing in real time and binding spatio-temporal information; kinematics inversion is carried out on the spatio-temporal information based on the movement speed of the steel pipe, and an electromagnetic parameter evolution track of each physical point on the surface is reconstructed; continuously deviated abnormal points are identified based on the evolution trajectory and clustered to extract electromagnetic characteristics of the heating abnormal area, temperature deviation is obtained through a preset electromagnetic-temperature mapping model, and a compensation instruction is generated; and predicting space-time coordinates of the abnormal area reaching the next heating area, and driving the corresponding independent heating unit to execute dynamic energy compensation in the matched time window. Real-time, global and accurate sensing and closed-loop regulation and control of the heating uniformity of the moving workpiece are achieved, the uniformity and stability of heat treatment quality are remarkably improved, and energy consumption is reduced.

The invention discloses a pump body heat treatment uniformity detection method based on infrared imaging. The method comprises the following steps that 1, a pump body three-dimensional structure model is obtained, and detection points are calibrated; 2, applying thermal disturbance to each detection area; 3, carrying out dynamic multi-channel temperature image acquisition to obtain a temperature-time sequence; 4, constructing a non-Fourier thermoelastic inertial response model of each detection point, and extracting thermal response characteristic parameters; 5, constructing a thermal response memory map; step 6, inputting the thermal response memory map into an improved TimeSFormer model, introducing a thermal potential field tensor guide mechanism into the model, and obtaining a thermal treatment uniformity score in combination with the spatial position information of the detection point and the structural topological coding vector; and 7, identifying a heat treatment deviation concentration area and outputting a detection report. The intelligent detection and evaluation method for the heat treatment uniformity of the pump body is realized by combining infrared imaging and the improved TimeSFormer model.

The invention discloses an intelligent control method and system suitable for a child thermometer, and relates to the technical field of control supervision, and the method comprises the steps: collecting multi-modal data, carrying out the enhancement processing of image data, and generating an enhanced image; performing image registration and temperature mapping based on the enhanced image to generate a child real-time body temperature mapping image; local temperature hot spot detection is carried out based on the child real-time body temperature mapping image, candidate abnormal areas are marked, abnormal area features are extracted for abnormal analysis, and a preliminary abnormal detection label is generated; using a Haar cascade algorithm to extract a child face region, using a neural convolutional network to extract emotional features, and analyzing a child emotional state; and based on the preliminary anomaly detection tag, the abnormal region features, the child emotional state and the environmental data, performing comprehensive analysis on the child health state, generating a health report, sending a temperature control instruction, and feeding back to parents. A closed-loop system is formed, and the intelligent level of the child thermometer is improved.

The invention discloses a bridge section temperature field calculation method fusing infrared imaging and finite element analysis, and belongs to the technical field of bridge temperature measurement. According to the method, unmanned aerial vehicle acquisition equipment with an infrared lens is used for performing surface infrared temperature image acquisition on upper, lower, left and right sections of a to-be-measured cross section of a bridge at multiple moments; spatial mapping of temperature information is realized through format conversion and temperature information extraction of the infrared image; on the basis of a finite element analysis platform, the extracted surface temperature data are imported into a bridge cross section numerical model, temperature field distribution solving is carried out through a solid heat transfer and stress analysis function, and accurate reconstruction and temperature effect analysis of a bridge cross section temperature field are achieved. According to the invention, non-contact rapid monitoring and accurate calculation of the bridge temperature field are realized, and reliable technical support is provided for health assessment of a bridge structure.

The invention discloses a thermal management method and system for immersed user side energy storage equipment, and relates to the technical field of thermal management of energy storage equipment, and the thermal management method comprises the steps: S1, carrying out the electrochemical impedance spectroscopy test of a battery module of the energy storage equipment under different internal temperatures, charge states and health states, and building an impedance spectroscopy-temperature mapping model; s2, according to a sampling interval, collecting impedance spectrum data of a current energy storage equipment battery module under the characteristic frequency point, and calculating the internal temperature of the battery module by using a mapping model; s3, collecting the surface temperature of the battery module in the time interval through a temperature sensor according to the sampling interval; s4, calculating the temperature difference between the internal temperature and the surface temperature of the battery module at the same time, and drawing a temperature difference curve according to the time sequence; and S5, identifying whether a thermal imbalance or thermal runaway event occurs or not according to the temperature difference curve, performing thermal management based on the thermal imbalance or thermal runaway event, and adopting a thermal management system of the immersed user side energy storage equipment of the thermal management method.

A multi-user detection and distance measurement method based on a thermal array sensor, called TADAR for short, comprises the following steps: collecting environmental thermal radiation data by using the thermal array sensor, and generating a 2D temperature map; preprocessing the 2D temperature map, and pooling the human body region to form a temperature feature vector; and estimating the distance between the user and the sensor by using the feature vector and a regression model. In addition, individual users are distinguished and confirmed by spatio-temporal tracking techniques, and TADAR supports multi-user detection and separation. The TADAR has the advantages that the temperature reading of each part of the body is fully utilized, so that the distance measurement accuracy is improved; moreover, training is not needed, texture-free, low-resolution and high-noise thermal array data can be processed, and a plurality of users can be effectively detected and separated. Besides, the TADAR utilizes space and time sequence information, so that accuracy and robustness in different environments are ensured, and a solution which gives consideration to imaging resolution and privacy protection is provided for ubiquitous human body perception.

This invention discloses a method for generating building energy-saving optimization strategies based on UAV infrared imaging, specifically relating to the field of building energy-saving management technology. The method includes acquiring infrared images, timestamps, location coordinates, and air conditioning records collected by a UAV during target building inspections; stitching the infrared images together according to the location coordinates; extracting the room activation status and set temperature from the air conditioning records according to the timestamps; and outputting a temperature map and operation table. By collaboratively organizing the infrared inspection results, room air conditioning operation information, and control area constraints at the edge into an action list, room execution sequence, and area execution sequence, energy-saving recommendations can be transformed from static recommendations into strategy results with constraint resolution, prioritization, and batch execution capabilities, relatively improving the problems of recommendation conflicts and implementation difficulties.

A method for detecting a defect in a bonded wafer includes receiving the bonded wafer on a wafer holder, the bonded wafer including a first structure bonded to a second structure, the first structure including first contacts, the second structure including second contacts, and the first structure bonded to the second structure forming a bonding layer including metal contacts between the first contacts and the second contacts. The method further includes illuminating a portion of the first structure for a first time duration to heat the portion of the first structure to a starting temperature, and detecting, using a light detector, a temperature map of the bonded wafer, the temperature map being detected after a second time duration. And the method further includes determining, based on the temperature map, the defect in the bonding layer of the bonded wafer.

The invention discloses a multi-field coupling underactuated quartz lamp electric heating system temperature mapping control method, system, equipment and medium, and the method comprises the steps: obtaining a quartz lamp and a test piece, building a nonlinear thermodynamic model of a multi-field coupling underactuated quartz lamp electric heating system, carrying out the online estimation of the state and total disturbance of the quartz lamp electric heating system, and calculating the temperature mapping of the quartz lamp electric heating system. Introducing a barrier function method, mapping each temperature variable to an unconstrained space, obtaining a test piece temperature mapping variable, taking the test piece temperature mapping variable as a control object to design a first control law, generating a control demand of a test piece temperature change rate, and mapping the control demand of the test piece temperature change rate into a quartz lamp temperature change rate instruction; and a second control law is designed and a quartz lamp input power control quantity is calculated by combining a quartz lamp layer thermodynamic model and a disturbance estimation result, so that the temperature of the test piece is converged to a target position in a preset safety interval within a fixed time, and the method has rapidness, robustness and safety.

This invention discloses a method for detecting the uniformity of heat treatment in a pump body based on infrared imaging, comprising the following steps: Step 1: Obtaining a three-dimensional structural model of the pump body and calibrating the detection points; Step 2: Applying thermal perturbation to each detection area; Step 3: Acquiring dynamic multi-channel temperature images to obtain a temperature-time series; Step 4: Constructing a non-Fourier thermoelastic inertial response model for each detection point and extracting thermal response feature parameters; Step 5: Constructing a thermal response memory map; Step 6: Inputting the thermal response memory map into an improved TimeSFormer model, which incorporates a thermal potential field tensor guidance mechanism, and combining the spatial location information of the detection points with the structural topology encoding vector to obtain a heat treatment uniformity score; Step 7: Identifying concentrated areas of heat treatment deviation and outputting a detection report. This invention combines infrared imaging with an improved TimeSFormer model to realize an intelligent detection and evaluation method for the uniformity of heat treatment in a pump body.

Systems and methods for estimating battery surface temperatures comprise generating a core temperature estimate for the battery based on a battery model. A set of lumped temperature states may be generated based on the core temperature, the set of lumped temperature states comprising temperature estimates for different regions of the battery. Additional condensed information may be retrieved relating to the battery. A surface temperature map may be generated for the battery based on the set of lumped temperature states and the additional condensed information using a mapping function.

The invention relates to the technical field of paper-plastic molding equipment temperature control, and discloses an AI-driven paper-plastic mold self-adaptive temperature control device which comprises a mold body, a multi-dimensional sensing module, an AI calculation main control module, a power driving module, a self-adaptive temperature control execution module and a state feedback module. Each independent temperature control area has a clear area, and the AI calculation master control module comprises an improved GRU neural network pre-judgment module, a dynamic PID parameter self-tuning module and a product type-thickness-temperature mapping database. A laser thickness sensor and a mold wear monitoring unit of the multi-dimensional sensing module respectively establish one-way data transmission with the mapping database and the GRU module, and each module establishes two-way communication connection; the device solves the problems of poor pertinence and response lag of the existing integral temperature control, realizes self-adaption and precision of mold temperature control, and adapts to the production requirements of paper-plastic molding.

The invention relates to a data processing device or control unit (123) for operating a forklift truck (120a) for transporting a plurality of goods (140) in a warehouse. The data processing device (123) comprises an interface (123b) configured to receive a plurality of sensor data from the forklift truck (120a) during its movement in the warehouse, wherein the plurality of sensor data includes a plurality of thermal imaging data of the forklift truck's (120a) surroundings. Furthermore, the data processing device (123) comprises a processor (123a) configured to create or update a temperature map of the warehouse based on the plurality of thermal imaging data, wherein the temperature map indicates a respective temperature value for a plurality of points in the warehouse. The data processing device or control unit (123)The control unit (123) can be part of the industrial truck (120a) or a stand-alone server.

The invention relates to the technical field of automatic control, and discloses a temperature control curve determination method, cooking equipment, a cooking device and a storage medium. The method comprises the steps that the electronic equipment acquires a temperature control standard curve of a cooking target menu of first equipment which successfully cooks the target menu; and the electronic equipment obtains a target temperature control curve of the second equipment which does not cook the target menu to cook the target menu according to the temperature control standard curve of the first equipment and a temperature mapping function between the first equipment and the second equipment. And when the second equipment cooks the target menu subsequently, the temperature can be controlled according to the target temperature control curve. In this way, even if the second device does not cook the target menu, accurate temperature control over the target menu can be achieved. The intelligent level of the cooking equipment is improved, more convenient, efficient and safe cooking experience is brought to users, and the intelligent cooking equipment has important practical value and market prospects.

As shown in Reference Image Figure 2, search conditions for search items (7) are set in the search condition setting window (1), search for past processes performed on wafers, etc., select desired processes from the search result list (2), and display data for the selected processes on a graph (3) or map (4). Graph (3), for example, displays the temperature change of the wafer over processing time, and may also display data for a specific time. Map (4), for example, displays a color-coded temperature map on the wafer together with a color sample (5).

The application relates to an ultrasonic power control method and system of a hanging chain cleaning machine, and relates to the technical field of the hanging chain cleaning machine.The method comprises the following steps: receiving input material information of a workpiece to be cleaned; matching a suitable cleaning liquid temperature range of the workpiece to be cleaned based on the material information; acquiring a first cleaning liquid temperature sent by a temperature sensor in a cleaning tank; when the acquired first cleaning liquid temperature is not located in a target temperature range, starting a heating device to adjust the temperature of the cleaning liquid so that the temperature of the cleaning liquid is located in the target temperature range; dividing the target temperature range into n subintervals, acquiring an ultrasonic power and temperature mapping library; acquiring current temperature data sent by the temperature sensor and determining a subinterval where the current temperature is located; determining an ultrasonic power value corresponding to the subinterval where the current temperature is located based on the ultrasonic power and temperature mapping library; and controlling an ultrasonic transducer to perform ultrasonic cleaning based on the ultrasonic power value.

The application provides a debugging method of an energy storage converter PCS, comprising the following steps: according to a switching characteristic-temperature mapping relationship of a power semiconductor device, combining a real-time temperature detection value obtained, dynamically adjusting a turn-on time and a turn-off time of an IGBT or a MOSFET, and optimizing a switching timing sequence of the power semiconductor device to adapt to working states under different temperatures; through real-time sampling and analysis on output voltage and current waveforms of the energy storage converter PCS, calculating a total harmonic distortion rate and a power factor index of the output waveforms, evaluating output waveform quality, and if the waveform quality index does not reach a preset requirement, further optimizing switching timing sequence parameters of the power semiconductor device.

The application discloses a battery power control method, device and medium; the method comprises the following steps: acquiring a charging and discharging power-temperature mapping table and collecting a current temperature of a battery in real time; if a first target power obtained by querying the mapping table according to the temperature is greater than a maximum target power actually executed by the battery in a previous stage, updating the maximum target power by adding an ascending power variable; if the first target power is less than the maximum target power actually executed by the battery in the previous stage, updating the maximum target power by subtracting a descending power variable. The device and the medium are used for implementing the method. The application has the beneficial effects that: a gradient change method is adopted, after a target power is obtained by table lookup, the target power is tracked in a gradient ascending / descending mode, and the smoothness of power change is ensured. Different ascending and descending gradients are set, slow power rise and rapid power drop are realized, the safe operation of the system is ensured, and the service life of the battery is guaranteed.

The invention discloses an electric loader whole vehicle temperature estimation method, system, device and medium, and the method comprises the steps: arranging a low-temperature control switch S1 and a high-temperature control switch S2 at the temperature measurement points of a battery, a walking motor, a hydraulic motor and a high-voltage box of an electric loader for outputting a temperature true value signal; basic temperature MAP graphs taking the working condition continuous operation time T1 and the power proportion N1 as input are established for a battery, a walking motor, a hydraulic motor and a high-voltage box respectively; taking the maximum value of each basic temperature MAP as the basic temperature of the whole vehicle; introducing atmospheric pressure, vehicle speed, environment temperature and a part depreciation coefficient as correction factors, establishing a correction mapping table, and correcting the basic temperature of the whole vehicle in real time to obtain an estimated temperature T2; and constructing a temperature output arbitration logic, fusing the estimated temperature T2 and a temperature true value signal T4 of the temperature control switch, and outputting a final temperature T3. The method has the advantages of low cost, high reliability, high precision, self-adaptability and the like.

The invention relates to a method for HVACamp; a monitoring system for an R system, the monitoring system comprising: a data acquisition processor operable to acquire information about HVACamp; observation of the R system, including fluid temperature measurements of the condenser and the evaporator, and also including compressor input power parameter measurements corresponding to the fluid temperature measurements; a relationship builder operable to learn a compressor input power parameter (CIPP) relationship between fluid temperature measurements of evaporator inlet temperature and condenser inlet temperature and compressor input power parameter measurements, and is further operable to learn an evaporator temperature drop (ETD) relationship between a fluid temperature measurement of an evaporator inlet temperature and a condenser inlet temperature and an evaporator temperature drop; and a temperature map comprising a plurality of cells, each cell corresponding to a temperature tuple consisting of a condenser entry temperature and an evaporator entry temperature, the temperature map is configured to receive and store, for each unit from the relationship builder, a summary statistics of measured compressor input power parameters or a measured derived evaporator temperature drop, or both, corresponding to a temperature tuple of the unit; wherein the processor executable instructions further cause the at least one processor to calculate a predicted value of a compressor input power parameter and / or a predicted value of an evaporator temperature drop using the CIPP relationship or the ETD relationship, respectively, and declare HVACamp based on the predicted values; the R system has performance degradation.

The present invention discloses a dry-type transformer anomaly detection method based on operating condition identification. In the offline model training stage, first, the operating conditions of the dry-type transformer historical monitoring data are identified and divided; secondly, for each operating condition, a self-organizing map network (SOM) network structure and initialization parameters are designed to extract the mapping relationship between the temperatures of the three-phase windings under different operating conditions; then, a random forest (RF) model is trained, and other monitoring quantities are used to predict and model the three-phase winding temperatures; in the anomaly detection stage, if the temperature monitoring data of a phase winding is missing, the missing temperature value is filled using the extracted three-phase winding temperature mapping relationship; further, the predicted temperature of the model at the previous moment is used as the input of the RF model at the next moment to obtain the predicted temperature value of the three-phase winding; finally, the degree of deviation between the actual monitored temperature value of the three-phase winding and the temperature value predicted by the RF model is calculated, and the anomaly detection result is given.

As shown in Reference Image Figure 2, search conditions for search items (7) are set in the search condition setting window (1), search for past processes performed on wafers, etc., select desired processes from the search result list (2), and display data for the selected processes on a graph (3) or map (4). The graph (3), for example, displays the temperature change of the wafer over processing time, and may display data for a specific time (8). The map (4), for example, displays a color-coded temperature map on the wafer together with a color sample (5).

This application relates to the field of semiconductor technology, and more particularly to wafer testing methods, systems, and electronic devices. The application includes acquiring first temperature data corresponding to each coordinate point on an initial test trajectory; using the first temperature data to establish a first wafer temperature map based on a target wafer; sequentially using untested wafers in the current batch as target wafers, and testing to obtain first wafer temperature maps for all wafers in the current batch; using the first wafer temperature maps in the current batch to establish a wafer temperature overlay map, processing the wafer temperature overlay map to obtain second temperature data, and generating a second wafer temperature map based on the second temperature data; acquiring the temperature distribution within the second wafer temperature map, adjusting the initial test trajectory to obtain an adjusted test trajectory, and testing the next batch of wafers. This application is used to promptly detect local temperature changes in wafers and improve temperature drift problems during wafer testing.

The invention provides a microwave ablation thermal field visualization method and system based on noninvasive CT temperature measurement imaging and multi-physics field simulation. The method comprises the following steps that 1, CT image data in the microwave ablation process are obtained; 2, establishing a temperature mapping model based on the relationship between the HU value of the CT image and the temperature; 3, performing three-dimensional visualization on the temperature field; 4, constructing a multi-physical field simulation model based on a frequency domain Maxwell equation and a Pennes equation; 5, predicting a tissue damage range in combination with an Arrhenius model; and step 6, performing bidirectional verification on the CT temperature measurement result and the simulation result. According to the technical scheme, the accuracy and visualization effect of microwave ablation boundary judgment can be remarkably improved, and the method has important clinical application value.

This invention relates to a dynamic fault location method for transmission lines based on real-time temperature feedback and wave velocity correction, comprising: synchronously acquiring conductor temperature at the fault location; calculating the measured traveling wave propagation velocity of each line segment; establishing and updating a wave velocity-temperature mapping model online; obtaining the equivalent traveling wave propagation velocity at the fault moment; calculating the distance from the fault point to the distributed monitoring node; outputting the tower segment where the fault is located and the distance to the nearest tower, and simultaneously outputting the location confidence interval. This invention directly measures the wave velocity without relying on any theoretical formulas for conductor parameters, fundamentally eliminating modeling errors; achieving continuous correction around the clock; realizing online automatic detection of wave velocity drift, timely alarming and preventing abnormal data from polluting the model, ensuring long-term location accuracy; requiring no additional acquisition equipment, exhibiting good engineering economics; and outputting location results with confidence intervals to assist maintenance personnel in accurately judging line patrols.

An ablation calculation method and an ablation calculation system, the ablation calculation method comprising: scanning a target to be measured using a gradient echo sequence containing i different echo times, obtaining a phase map corresponding to the echo time, i being a positive integer greater than or equal to 2 (S101); selecting at least two groups of phase maps corresponding to different echo times to obtain corresponding temperature difference maps (S102); obtaining a temperature map according to the temperature difference maps (S103); calculating an ablation condition according to the temperature map (S104); and the ablation calculation system comprising an ablation calculation module capable of executing the ablation calculation method.

The embodiment of the invention provides a single-photon Raman enhanced distributed temperature measurement method, system and device and a medium, and belongs to the technical field of optical measurement. The method comprises the following steps: based on pulse excitation light injected into a sensing optical fiber, collecting Stokes scattering photon counting information and anti-Stokes scattering photon counting information output by a single photon avalanche diode, and establishing a corresponding relationship between the Stokes scattering photon counting information and a spatial sampling position and between the anti-Stokes scattering photon counting information and the spatial sampling position; based on the Stokes scattering photon counting information and the anti-Stokes scattering photon counting information, generating statistics corresponding to each spatial sampling position; based on the statistics, constructing a temperature mapping result used for describing a corresponding relation between the spatial sampling position and the temperature; and generating a distributed temperature measurement result distributed along the sensing optical fiber based on the temperature mapping result. According to the scheme of the invention, in single-photon Raman distributed temperature measurement, long-distance noise fluctuation is effectively inhibited and the space identification capability of real temperature anomaly is maintained through the continuity constraint based on the statistical magnitude difference.

The application discloses a kind of multi-source information coordination's electric power equipment three-dimensional temperature field construction method.Firstly, precise external parameter relationship is obtained by joint calibration using infrared camera, IMU and laser radar, eliminate point cloud distortion and extract corner point and plane point, construct re-projection residual, distance sampling residual and IMU pre-integral residual, adopt error state iterative Kalman filter to optimize global pose, obtain positioning.Self-supervised depth completion network is proposed, combine infrared temperature image and sparse depth map generated by laser radar as input, adopt infrared image guided depth completion strategy, and use pose information to estimate relative motion of adjacent frame, introduce feature alignment module to reduce alignment error, combine depth map, infrared image and IMU data, realize the efficient construction of electric power equipment three-dimensional temperature field.The application more accurately constructs electric power equipment three-dimensional temperature field, improves the ability of substation inspection robot to electric power equipment state monitoring and fault diagnosis.