66 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 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 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.

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.

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 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.

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 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.

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.

The application discloses an oil-immersed transformer hot spot temperature prediction method, system, device and storage medium, and comprises the following steps: a dynamic simulation model is established according to the multi-physical field thermal state of the oil-immersed transformer, and dynamic thermal simulation is performed on the dynamic simulation model under a preset operating condition to obtain simulation operation data; a hot spot temperature mapping model is established, the simulation operation data is taken as a training data set to train the hot spot temperature mapping model, and the hot spot temperature mapping model comprises a gated recurrent unit and a deep neural network; real-time operation data of the oil-immersed transformer is acquired, the real-time operation data is input into the trained hot spot temperature mapping model for temperature prediction, and the winding hot spot temperature of the oil-immersed transformer is obtained. The intelligent learning model is established by using the transformer data obtained by the multi-physical field simulation, more accurate transformer hot spot temperature can be obtained, and the accuracy of the hot spot temperature inversion is improved by taking the key temperature measurement area of the oil tank shell as an important parameter.

The invention discloses a self-adaptive temperature field measuring device and method for a dynamic arc. The device comprises an arc generating mechanism, an image collecting device, a reflecting mirror set, an angle reference component and a processing unit. The angle reference component is installed on the arc generation mechanism, the central axis is coaxial with the geometric installation axis of the arc generation mechanism, and an angle scale structure is arranged on the surface and used for establishing the mapping relation between the pixel position and the observation angle. The reflector group is arranged on the side of the arc generation mechanism and is used for reflecting radiation light from different directions of the dynamic arc to the same image acquisition device so as to realize multi-view imaging; the processing unit determines the projection angle of each visual angle in real time in the dynamic discharge process, performs tomography reconstruction based on multi-visual-angle radiation information, obtains emission coefficient distribution of an arc section, adaptively distinguishes a high-temperature region from a low-temperature region according to isoline topological characteristics, performs temperature mapping, and realizes accurate reconstruction of a dynamic arc temperature field. And the stability and reliability of measurement under the dynamic working condition are improved.

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 a battery power control method and device and a medium. The method comprises the following steps: acquiring a charging and discharging power-temperature mapping table and acquiring the current temperature of a battery in real time; if the first target power of the temperature query mapping table is greater than the maximum target power actually executed by the battery in the previous stage, updating a superposed rising power variable on the maximum target power; if the first target power is smaller than the maximum target power actually executed by the battery in the previous stage, the maximum target power is updated by subtracting the decreasing power variable. The device and the medium are both used for implementing the method. The method has the beneficial effects that after the target power is obtained through table look-up by adopting a gradient change method, target power tracking is carried out in a gradient ascending / descending mode, and the smoothness of power change is ensured. And different ascending and descending gradients are set, so that slow ascending and rapid descending of power are realized, safe operation of the system is ensured, and the service life of a battery is ensured.

The invention provides a variable emissivity optical lens target calibration and measurement method and system, and relates to the technical field of infrared thermal imaging and non-contact temperature measurement, and the method comprises the steps: obtaining calibration data, and building an emissivity-temperature mapping database based on the calibration data; performing an iterative calculation based on the target apparent temperature and the emissivity-temperature mapping database to determine a true temperature of the optical lens target; the iterative calculation comprises the steps of calculating a current temperature estimation value according to the current emissivity, querying an updated emissivity from the emissivity-temperature mapping relation according to the current temperature estimation value, and repeatedly calculating according to the updated emissivity until the target estimation temperature value meets a convergence condition. In each iteration, the pre-stored mapping relation is used for correcting the emissivity estimation value, so that the emissivity parameter continuously approaches to the truth, and the temperature calculation result is driven to converge to the truth value. The numerical stability and repetition reliability of a final result are ensured, and the temperature measurement accuracy of a variable-emissivity optical lens target is remarkably improved.

The invention relates to the technical field of computer vision and image sensing, and discloses a radiator surface temperature distribution detection method based on computer vision. The method comprises the following steps: collecting a multi-view visible light image sequence of the radiator in a working state; synchronously acquiring measured values of the contact temperature sensors at key positions on the surface; reconstructing a radiator three-dimensional geometric model based on the image; mapping the actually measured temperature into sparse observation points on the model; constructing a graph neural network fused with heat conduction physical prior, and iteratively solving whole-field temperature distribution by taking sparse observation as a boundary condition; and finally, carrying out back projection on the temperature field to generate a pseudo-color temperature map aligned with the visible light image pixel. The method comprises image acquisition, temperature sensing, three-dimensional modeling, temperature mapping, graph network modeling, full-field reconstruction and a visualization unit. According to the invention, through low-cost hardware and physically guided deep learning, high-precision, explainable and visual temperature distribution detection of the complex curved surface radiator is realized.

The application discloses an infrared thermal imager and an intelligent fault diagnosis method based on multi-level thermal image analysis, and relates to the technical field of infrared thermal imagers, comprising a multi-level temperature data acquisition module, an intelligent temperature data processing module and an intelligent fault diagnosis and early warning module. The application can obtain more comprehensive and accurate temperature information by simultaneously collecting surface layer, deep layer and transient temperature data of the monitored object, thereby improving monitoring accuracy. The intelligent temperature data processing module effectively fuses temperature data of different levels to generate more accurate comprehensive temperature maps, providing a reliable data basis for subsequent analysis. The intelligent fault diagnosis and early warning module automatically identifies and matches fault characteristics by establishing a fault mode model, reducing dependence on artificial experience and improving fault diagnosis efficiency and accuracy. It can monitor temperature changes in real time and warn potential faults, and through accurate fault diagnosis, more effective maintenance plans can be developed to reduce unnecessary downtime and maintenance costs.

The invention discloses a shared bicycle riding overload intelligent identification method, system and device and a medium, and relates to the technical field of overload detection, and the method comprises the steps: collecting the temperature and pressure of a shared bicycle cushion; obtaining an original pressure diagram and an original temperature diagram; constructing input tensors of three channels through the original pressure diagram and the original temperature diagram; inputting the plurality of input tensors into a pre-trained convolutional neural network model for pattern recognition, and obtaining a classification result that the input image belongs to different riding scenes; according to the classification result, the shared bicycle is controlled to execute corresponding operation, and when the classification result is an overload scene, an alarm is triggered or running of the bicycle is limited. All complex intelligent analysis and decisions are completed at the cloud, and finally an overload judgment result is fed back to a vehicle to execute corresponding operation, so that an accurate, reliable and intelligent overload treatment effect is achieved.

The application discloses a kind of based on deep learning's gas film cooling temperature field digital twinborn method and system, it is related to heat protection technical field, the method includes the following steps: constructing gas film cooling experimental device, the experimental device includes sensor, measurement and data acquisition system, complete the measurement and acquisition of experimental data;Acquisition experimental data, use infrared camera to shoot the temperature image of incomplete orifice plate and save, experimental data are used to fine-tune pre-training model, generate migration model;Training pre-training model, using CFD result as pre-training data source, generate pre-training model;Assimilate numerical data, assimilate numerical data using migration learning method based on iterative neural operator, numerical data include data from different image size and image layer;Respectively carry out space, structure and working condition deduction, update physical-virtual synchronous model.The application has data assimilation and deduction function, can support the efficient and accurate design of gas film cooling.

The embodiment of the invention relates to the technical field of electric power inspection, and discloses a temperature detection and identification method for electric power equipment, which comprises the following steps: acquiring temperature image information detected by a corresponding temperature measurement camera according to information of the temperature measurement camera configured on a server; acquiring equipment monitoring conditions of each monitoring area in the power equipment; temperature parameters of all the temperature monitoring areas in the temperature image information are determined, the determined temperature parameters of all the temperature monitoring areas are compared with equipment monitoring conditions of all the corresponding monitoring areas, and if the equipment monitoring conditions are not met, early warning operation is carried out. According to the method in the embodiment of the invention, automatic monitoring and analysis of the temperature of the power equipment are realized, manual intervention is reduced, and the working intensity of operation and maintenance personnel is reduced. Meanwhile, through timely and accurate early warning, operation and maintenance personnel can be helped to carry out equipment maintenance and overhaul in a targeted manner, unnecessary inspection and maintenance work is avoided, the operation and maintenance efficiency is improved, and the operation and maintenance cost is reduced.

The application provides a method for detecting the light fiber light emitting direction of a magnetic resonance guided laser interstitial thermotherapy device, the device comprises a host computer and a light fiber for outputting laser to target tissue, the light fiber is a side light emitting type, the method comprises the following steps: acquiring a temperature map set containing a target region; for each temperature map in the temperature map set, determining the temperature rising direction corresponding to the temperature map; and determining the light emitting direction of the light fiber according to the temperature rising direction corresponding to the temperature map in the temperature map set. The application acquires a temperature map set, determines the temperature rising direction corresponding to each temperature map, and accurately determines the light emitting direction of the light fiber according to the temperature rising direction corresponding to the temperature map in the temperature map set, which lays a good foundation for accurate conformal ablation of the target region.