243 results about "Temperature curve" patented technology

The invention relates to the technical field of injection molding quality monitoring, in particular to a real-time monitoring method and system for injection molding production quality. The method comprises the following steps: acquiring a standard pressure curve and a standard temperature curve of each production stage in each injection molding production cycle; calculating the local intensity of each sampling moment; obtaining an abnormal fluctuation coefficient of each sampling moment, and constructing a multi-dimensional coupling dynamic weight of each sampling moment; multiplying the abnormal fluctuation coefficient by the multi-dimensional coupling dynamic weight to obtain a weighted dynamic fluctuation curve; integrating the weighted dynamic fluctuation curve to obtain a form deviation index; and performing anomaly detection on the current production cycle based on the form deviation index. And the monitoring precision of injection molding production is improved.

The invention relates to the technical field of power battery data analysis, and discloses a multi-source data fusion analysis method which comprises the following steps: S1, respectively extracting multi-dimensional health factors reflecting a battery degradation state from a voltage curve, a temperature curve and an incremental capacity curve of a battery; the health factors comprise a voltage sampling value and a voltage curve slope extracted from a voltage curve, a differential temperature characteristic parameter extracted from a temperature curve, and a peak value characteristic extracted from an incremental capacity curve; s2, respectively inputting the health factors into at least two different types of basic prediction models to obtain a preliminary health state estimation result of each basic prediction model; and S3, fusing the preliminary health state estimation results through an integrated learning model to obtain a final estimation result of the battery health state. According to the method, the limitation that a traditional method depends on a single data source is overcome, and the complex degradation state of the battery can be represented more comprehensively, more stably and more accurately.

The invention discloses a computer mainboard welding temperature correction control method based on machine learning, which relates to the technical field of intelligent control, and comprises the following steps: predicting a reference welding temperature curve by using a machine learning model based on historical operation data of reflow welding of a computer mainboard; dividing a thermal management area based on the thermal characteristics of the component; determining an optimal welding temperature curve; on the basis of the divided heat management areas, regionalization adjustment is conducted on the optimal welding temperature curve, and temperature area parameter fine adjustment strategies for the different heat management areas are generated; and based on the optimal welding temperature curve and the fine adjustment strategy, a final temperature control instruction set is synthesized, and the reflow soldering furnace is controlled for batch production. The method has the advantages that through fusion of machine learning and real-time data driving optimization, on the premise that the welding reliability is guaranteed, the production efficiency and energy consumption are intelligently balanced, and the adaptability and the intelligent level of a production line are remarkably improved.

The invention discloses a liquid-cooling heat dissipation system regulation and control method for a liquid-cooling super-intelligent fusion computer, and relates to the technical field of computer heat dissipation control, and the method comprises the steps: collecting and preprocessing state data of a liquid-cooling heat dissipation system and detailed information of a next calculation task, and generating a real-time task-state fusion data set; thermal fluid simulation calculation is conducted on the real-time task-state fusion data set, a future temperature curve is predicted, a simulation result data set is obtained, an aggressive energy efficiency strategy is started according to the simulation result data set, and an ideal rotating speed control instruction sequence is generated; and according to the preprocessed state data of the liquid cooling heat dissipation system, dynamically calculating an estimated dead zone time length, and sending an ideal rotating speed control instruction sequence ahead of the estimated dead zone time length to generate a time advanced control instruction. According to the method, the ideal rotating speed control instruction sequence is generated, so that prospective simulation and energy efficiency optimization decision making of the thermal load of the calculation task are realized, the energy consumption is reduced, and the heat dissipation adaptability is improved.

The invention relates to the technical field of vacuum brazing furnace temperature control, and discloses a vacuum brazing uniform heating and cooling system with multi-temperature-zone cooperative control. According to the system, a temperature deviation trend spectrum is generated by matching a multi-zone actual temperature curve with a workpiece target temperature curve, multi-temperature-zone energy dynamic rebalance is started accordingly, and a preliminary power scheduling atlas and collaborative cooling trigger nodes are generated. And then heat flow disturbance compensation amount caused by heat radiation of the hearth is calculated and integrated with the atlas and the nodes to form a unified final process control atlas, and the atlas comprises heating correction and cooling scheduling instructions at the same time. Predictive regulation and control of the furnace temperature change trend and active compensation of temperature interval thermal disturbance can be achieved, the heating process and the cooling process are highly coordinated, and the temperature uniformity and the process consistency of a large or complex workpiece in the brazing process are improved.

The invention relates to a cooperative control method and system for lean-burn emission of a marine low-zero carbon fuel engine. The method comprises the steps that real-time in-cylinder pressure and temperature data are collected, and an in-cylinder pressure curve and an in-cylinder temperature curve are obtained through time sequence alignment, filtering denoising and interpolation fitting processing; extracting time sequence data based on the curve, calculating average effective pressure and peak temperature in a cylinder to determine a current load interval, and marking a risk tag sequence; calculating the generation rate of the nitrogen oxides and the particulate matters by matching with reaction condition parameters, and extracting reverse variation characteristics to obtain strong mutual exclusion correlation of the nitrogen oxides and the particulate matters; and based on the associated starting model, predicting and controlling the output oil injection quantity and the air inflow adjusting quantity, calculating the transient time sequence lag quantity through a dynamic lag model, and after superposition, calibrating through a combustion phase matching algorithm to generate an oil injection timing and air inlet valve opening control instruction after transient adjustment. The method is adaptive to the combustion characteristics of low-zero-carbon fuel, emission contradictions are accurately captured, transient emission peak values are avoided, and multi-pollutant collaborative control is achieved.

The invention provides an all-hydrogen bell type annealing furnace temperature-atmosphere-time dynamic matching method based on an NSGA-II algorithm, and belongs to the field of metallurgical treatment and intelligent manufacturing control. A multi-objective optimization model with maximization of surface quality and minimization of energy consumption and annealing time as objectives is constructed, a control system of a temperature curve, hydrogen concentration and time distribution is established, and constraint conditions such as thermal stress, safety concentration and temperature are applied. An NSGA-II algorithm is combined with a simulated binary crossover, variation and elitism strategy, Pareto optimal solution search is realized based on an energy consumption model and a surface quality evaluation function, and a dynamic annealing path module which can be directly applied to a PLC / DCS system is generated by using a clustering algorithm. According to the method, mathematical modeling and intelligent optimization are used for replacing test sampling, the surface quality can be remarkably improved, the energy consumption is reduced, the process adjusting efficiency is improved, and the method is suitable for the full-hydrogen cover annealing process with the high-precision and high-consistency requirements.

The invention relates to a method for separating a plurality of semiconductor material wafers from workpieces during a number of wafer separation operations for an associated workpiece separation process per workpiece by means of a wire saw comprising a wire gate of moving wire sections of a saw wire stretched between two wire guide rollers, wherein each of the wire guide rollers is mounted between a fixed bearing and a floating bearing, comprising the step of carrying out the wafer separation operations of the current workpiece separation process on the current workpiece by temperature-controlling the fixed bearing of the respective wire guide roller during the current workpiece separation process according to a previously determined WGTC temperature curve within the method, which was determined on the basis of a weighted determination of historical data from past workpiece separation processes.wherein, in each of the disc cutting operations, sawing is carried out in a cutting area of ​​the workpiece at a substantially constant cutting speed within the range of 2000 µm / min to 3000 µm / min. The invention further relates to a disc made of semiconductor material, which is produced in particular by the sawing method according to the invention, wherein the disc has a TTV value in the range of 6.0 µm to 58.5 µm, preferably in the range of 10.8 µm to 30.5 µm, and more preferably in the range of 12.9 µm to 25.6 µm.

The application provides a pre-regulation temperature control method, a control system and an electric cooker. The control method comprises the following steps: in step S1, it is determined whether to heat in step S2 or to stop heating in step S3 according to the comparison between the current temperature and the target temperature. In step S4, it is determined whether to start step S5 according to the comparison between the temperature after stopping heating and the preset heating node. Step S5 is used to heat according to the preset heating curve, and jump to step S6 when the real-time temperature reaches the maximum value. Steps S6 to S7 are executed in a loop, wherein step S6 is used to analyze the previous measured temperature curve and determine the heating node and the heating time of the next cycle, and step S7 is used to control the heating and stopping of the next cycle according to the heating node and the heating time determined in step S6. Finally, the temperature is floating within the target range of the target temperature, which can reduce the temperature overshoot during the heating process.

- Method and device for determining and using a diagnostic tool comprising a temperature aging spectrum. - The method (P) comprises a step (E1) for receiving at least one temperature curve relating to a given geographical location, a processing step (E2) comprising a series of successive substeps (E2A, E2B, E2C, E2D, E2E), implemented iteratively for different values ​​of a characteristic time associated with a type of material, comprising a substep (E2A) for filtering the temperature curve using a first-order filter having said characteristic time as its time constant, a substep (E2B) for applying an aging law, a substep (E2C) for performing an accumulation over a given sliding period, a substep (E2D) for extracting a value corresponding to an aging criterion, and a substep (E2E) for associating this extracted value with the characteristic time.The pairs of values ​​obtained at the end of the iterations allow the formation of a temperature aging spectrum, and a step (E3) to perform comparisons, at least from this spectrum, to carry out a diagnosis. Figure for the abstract: Fig. 4.

This invention relates to the field of tire material performance testing technology, and more particularly to a method and system for evaluating the dry grip performance of tire tread rubber based on Dynamic Mechanical Analysis (DMA). This invention performs linear baseline subtraction on the DMA tanδ-temperature curve, uses an α / α′ two-peak model for fitting, and calculates the peak area S. α S α′ And obtain the area ratio R α =S α / (S α +S α′ The results are rapidly determined based on a threshold (optimal: 0.35-0.60). The results are stable under conditions of 10Hz, 0.2%-0.3% strain, 2℃ / min, and -50 to 100℃. Compared with single-point indicators, it is more robust and transferable, and shows good consistency with actual vehicle dry braking / handling, making it suitable for rapid screening of formulations and processes.

The invention discloses an automatic cooking robot system and a control method thereof.The automatic cooking robot system comprises a stepped double-layer rack and a plurality of cooking units, and each cooking unit comprises a heating assembly, a pot body assembly and a power assembly; acquiring data of temperature, weight and position sensors, performing multi-sensor fusion to obtain a state vector, calling a target temperature curve in combination with a menu database to judge a cooking stage, outputting a heating power instruction by adopting self-adaptive PID control, and generating a stirring speed curve or a stir-frying track; electromagnetic adsorption overturning feeding is adopted, powder and liquid seasoning are subjected to screw metering pneumatic conveying and heating heat preservation pumping spraying respectively, and safety is guaranteed through in-place interlocking. Self-adaptive temperature control and stage linkage stir-frying based on a target temperature curve are realized through dish identification and multi-sensor fusion, and closed-loop quantitative feeding is combined, so that the cooking process is safer and more stable, the taste is consistent, and the maintenance is convenient.

The invention provides a temperature control method of an intermediate infrared laser, and relates to the technical field of lasers. The temperature control method comprises the steps that the reference temperature T0 of the intermediate infrared laser is set, and driving current is injected into the intermediate infrared laser; in any nth period of the driving current, initial temperature parameters of the intermediate infrared laser are collected, and an initial temperature control curve T (n) of the nth period is formed; forming a reference temperature curve T1 (n) in the nth period based on the initial temperature control curve T (n); forming a gradient temperature control curve of the nth period based on the initial temperature control curve T (n), the reference temperature curve T1 (n) and the reference temperature T0; and forming temperature control data based on the gradient temperature control curve, and storing the temperature control data in the temperature control device, so that the temperature control device performs temperature control on the intermediate infrared laser according to the temperature control data. The invention further provides electronic equipment and a temperature control device.

The invention discloses a multi-source collaborative power consumer portrait construction method and system, a medium and equipment, and belongs to the field of user power consumption behavior analysis, and the method comprises the steps: collecting multi-source data of each user ammeter, including electric energy metering data, electricity price data and meteorological data; constructing load characteristics, meteorological characteristics and electricity price characteristics of each user based on the multi-source data; wherein the cooling load characteristics in the meteorological characteristics are obtained by measuring the morphological similarity of a daily load curve and a daily temperature curve and performing recognition in combination with a clustering algorithm; integrating the load, weather and electricity price characteristics of each user to obtain corresponding combined characteristics; and clustering the combined features through a clustering algorithm to obtain a plurality of user groups, and allocating power consumption behavior tags to the user groups in combination with service rules to complete user portrait construction. By implementing the method and the device, the technical problems of inaccurate and incomplete power consumer portraits caused by single data dimension and lack of multi-source collaborative analysis in the prior art can be solved.

The invention relates to the technical field of electrical prospecting, and particularly discloses an electromagnetic temperature calculation method and device for simulating seismic inversion, and the method comprises the steps: obtaining a logging temperature curve based on logging information; the logging temperature curve is preprocessed; establishing a temperature initial model based on the preprocessed logging temperature curve; preprocessing the electromagnetic seismic data, and establishing electromagnetic simulated seismic data based on the preprocessed electromagnetic seismic data; carrying out seismic inversion based on the electromagnetic simulated seismic data and a temperature initial model; and displaying the heat storage body subjected to seismic inversion in a three-dimensional space. According to the invention, by means of the idea and steps of post-stack inversion in actual seismic exploration, seismic inversion is carried out based on electromagnetic simulated seismic data and a temperature initial model; and the heat storage body subjected to seismic inversion is displayed in a three-dimensional space, so that a new thought can be provided for magnetotelluric temperature inversion of a seismic exploration area, and the accuracy and credibility of electromagnetic temperature inversion are greatly improved.

According to the aerosol-generating device of one embodiment, when a user input signal for suspending the operation of the aerosol-generating device is received, the temperature of the heater is made to be lower than the temperature defined by the temperature curve by controlling the power supply to the heater, and when the suspension is released, the temperature of the heater is controlled to be lower than the temperature defined by the temperature curve. The temperature of the heater reaches a temperature defined by the temperature curve by controlling the power supply to the heater, and the working time is controlled to be prolonged by a time equivalent to the pause time.

The invention relates to the technical field of packaging, and discloses a low-cavity packaging method of a microelectronic component and the microelectronic component, and the method comprises the steps: S1, providing a packaging substrate; s2, preparing solder paste with a first activity grade; s3, uniformly coating the prepared solder paste on an interconnection bonding pad of a packaging substrate; s4, mounting an electronic component on the internal interconnection bonding pad of the packaging substrate; s5, reflow soldering is carried out, welding of the electronic component and the packaging substrate is completed, meanwhile, the solder paste at the external interconnection bonding pad is made to be formed into a plane grid array welding spot structure, reflow soldering is carried out according to a preset temperature curve, the peak temperature of the preset temperature curve is set to range from 240 DEG C to 260 DEG C, and the duration time of a uniform temperature section of the preset temperature curve ranges from 60 seconds to 90 seconds; s6, quality monitoring is conducted through a micron focal spot system, the resolution ratio of the system is smaller than or equal to 5 microns, and the scanning frequency is 10 frames per second. The LGA welding spot void rate can be reduced, and the reliability of the microelectronic assembly is improved.

This invention discloses a method for determining blockages in a pulverized coal dust collector and its underlying pipeline, belonging to the field of metallurgical technology. The invention includes the following steps: S1, installing a temperature measuring device; an insertion-type temperature measuring device is installed below the ash hopper of the pulverized coal dust collector to measure the temperature T of the gas or pulverized coal inside the ash hopper. 灰斗 An insertion-type temperature measuring device is installed at the outlet flange connection of the medium-speed mill to measure the temperature T of the gas flow carrying pulverized coal. 出口 S2. The computer collects a set of values ​​every 10 seconds and enters them into the system; S3. Determine the lag time δt; S4. Determine whether material blockage has occurred; This invention enhances the system's adaptability to different working conditions by analyzing the temperature curve during normal operation and dynamically calibrating the lag time between the two; When the system detects that the outlet temperature fluctuation is not significant, it will actively prompt manual intervention and adjust the process parameters to ensure the validity of the monitoring data and avoid misjudgment or omission due to stable temperature; The implementation cost is low and it is easy to promote.

This invention provides an online heat preservation method and system for steel ingot preparation in an electroslag furnace, relating to the field of electroslag furnace steel ingot preparation technology. The method includes acquiring real-time temperature data at different axial positions during the ingot unloading process; determining the temperature control mode and setting control parameters for a closed-loop control algorithm based on the unloading progress; calculating the required heating power for each axial position based on the deviation between the real-time temperature and the target temperature curve using a closed-loop control algorithm; and independently heating and compensating the corresponding axial position of the ingot within the heat preservation hood according to this power. This invention significantly improves temperature control accuracy through zoned closed-loop active compensation, reducing the axial temperature difference to within a few degrees, effectively suppressing microstructure segregation and crack defects, while simultaneously reducing energy consumption, achieving precise online heat preservation throughout the entire ingot unloading process.

The invention relates to the technical field of microbial fermentation temperature control, and discloses a temperature control method and system based on a microbial fermentation process. The method comprises the following steps: acquiring real-time temperature data in a microbial fermentation process, acquiring environmental parameter data in a fermentation tank, and constructing a dynamic temperature distribution model corresponding to the fermentation process based on the environmental parameter data; performing matching analysis on the dynamic temperature distribution model and a preset standard temperature curve, generating temperature deviation data, identifying an abnormal temperature region, monitoring biological metabolism parameters and calculating the influence degree of the abnormal region on the abnormal temperature region; predicting a temperature out-of-control type based on the influence degree, positioning a key temperature control node, detecting temperature fluctuation, and generating node temperature state data; determining a temperature adjusting target based on the data, analyzing an adjusting strategy, querying an execution standard, and generating a temperature control instruction; the instruction is applied to the fermentation tank to execute adjustment, temperature data after adjustment are collected, stability analysis is conducted, and a temperature control report is generated.

The invention discloses a yak frozen semen freezing process intelligent control method based on dynamic cooling curve optimization, and relates to the field of animal frozen semen preservation, and the yak frozen semen freezing process intelligent control method comprises the following steps: arranging a plurality of frozen semen tubes filled with consumed cattle semen on an annular tray with a cold source in the center in a radioactive manner, and uniformly arranging the plurality of frozen semen tubes in a surrounding manner in each radial distance interval; in the freezing process, cold energy is output according to a preset cooling program, and the annular tray is driven to rotate; unfreezing operation is executed, sperm motility values are measured, interval motility values of the sperm motility values of the frozen sperm tubules in all the radial distance intervals are counted, a temperature curve at the radial distance interval with the highest interval motility value is determined, a cooling program is modified in multiple rounds of experiments, and the process is repeated, so that the temperature curve is determined. And clustering the obtained temperature curves and selecting an optimal target temperature curve to perform freezing control. According to the method, the problem that the optimal dynamic cooling curve is difficult to efficiently obtain in the freezing process of the frozen yak sperms is solved.

The invention provides a thermal management method of a rotating magnetic field direct current motor, which comprises the following steps: acquiring multi-point temperature data from key parts in a stator winding of the direct current motor, sending the multi-point temperature data to a central processing unit in real time, and generating an initial temperature distribution matrix; according to the initial temperature distribution matrix, a convolutional neural network algorithm is adopted for analysis, if the temperature gradient exceeds a preset threshold value, the area is marked as a potential local overheating area, and a high-risk component list is determined; extracting a real-time temperature monitoring sequence from the high-risk component list, and predicting a future temperature trend by adopting a long-short-term memory network algorithm to obtain a predicted temperature curve sequence; and for the stability performance index sequence, recording a life shortening risk assessment log and integrating historical records, and determining a final thermal management reliability report through trend rise judgment and state optimization confirmation.

The application discloses a parameter determination method and device, and relates to the technical field of electric vehicles. The method comprises the following steps: determining a first coefficient according to test data of a first test, wherein the first test is a test in which a battery reaches thermal equilibrium under the same initial battery temperature, different ambient temperatures and different cooling liquid temperatures; determining a second coefficient according to test data of a second test, wherein the second test is a test in which the battery reaches thermal equilibrium under the same initial battery temperature, the same cooling liquid temperature and different ambient temperatures; determining a temperature curve for realizing thermal equilibrium of the battery according to the first coefficient, the second coefficient and a predefined thermal equilibrium relationship; and determining the shortest time required for the battery to reach thermal equilibrium under different ambient temperatures, and corresponding cooling liquid temperatures and third thermal equilibrium temperatures according to the temperature curve. The scheme shortens the test period, reduces the cost input and is convenient to operate.

This invention discloses a method and system for precise monitoring and control of temperature curves during the hot-rolled plate rolling process, relating to the field of temperature control technology. The method includes: collecting temperature data from multiple key process points during the hot-rolled plate rolling process; constructing a continuous digital image of the temperature field of the hot-rolled plate in both time and space dimensions; setting up a single-pass rolling agent and a global rolling agent for each rolling pass; before the start of each rolling pass, driving the corresponding single-pass rolling agent and the global rolling agent to perform multiple rounds of interaction and collaborative iteration to optimize and obtain the final control command for that rolling pass; and issuing the final control command to the actuator to complete the temperature control of the hot-rolled plate in that rolling pass. The advantage of this invention is that by constructing a collaborative iterative decision-making architecture between the single-pass rolling agent and the global rolling agent, it effectively solves the problem of difficulty in coordinating local pass optimization and overall process optimization in traditional methods.

The application provides a pump station group scheduling system and method based on digital twinning, and relates to the technical field of pump station scheduling.The pump station group digital twinning model is constructed according to the bearing temperature curve, the flow curve and the pump cabin pressure curve when the rated power works in history, the solving condition I, the solving condition II and the solving condition III are set according to the task quantity and the task time, the scheduling quantity that each pump station should obtain is solved in MATLAB, the scheduling quantity is simulated in the pump station group digital twinning model, the simulated running state is obtained, the running state score is constructed, the health state score is constructed according to the data of the pump station, the ability of each pump station to complete the task is judged by analyzing the order of the running state score and the health state score, if there is a situation that cannot be completed, the scheduling quantity is redistributed, the failure caused by the overload operation of the pump station is avoided, and the smooth progress of the scheduling task is ensured.

The invention discloses a power grid model construction method and system based on transmission power information, equipment and a medium, and relates to the technical field of power grid models, comprising the steps of collecting power grid equipment data in real time, extracting multi-modal features, obtaining abnormal feature vectors and overheating indexes, fusing the abnormal feature vectors and the overheating indexes to correct electrical parameters, and combining with a temperature curve of meteorological prediction. And dynamically updating physical parameters of the equipment, injecting the updated parameters into the multi-physical field equation, updating the model library, generating a digital twinborn body, performing simulation by utilizing the twinborn body, comparing actual measurement, and triggering parameter backtracking calibration when an error exceeds a limit. According to the method, multi-mode sensing, parameter dynamic correction and closed-loop calibration are fused, the power grid digital twin which can accurately reflect the real working condition of equipment, pre-judge the future state and achieve self-improvement is constructed, and high-precision, high-self-adaption and intelligent early warning of a power grid model are achieved.

The invention relates to the technical field of integrated circuit application, in particular to a magnesium alloy integrated circuit packaging structure and a quality optimization method, the surface of a magnesium alloy matrix is pretreated, a multi-layer deposition process is implemented on the surface of the matrix, and each deposition unit sequentially comprises a nucleation stage, a grain growth stage and a densification stage. A temperature curve, the current density, the deposition rate and the deposition time are respectively set and can be regulated and controlled in each stage so as to respectively regulate and control the crystal nucleus density, the grain size and the layer densification degree; temperature, current, voltage and internal stress signals are collected in real time, and a judgment threshold value is set for each type of signals so as to trigger an abnormal alarm; signals collected in real time are input into a dynamic control model, an accelerated verification test is carried out on the prepared plating layer, and a failure mode is quantitatively analyzed, through real-time regulation and control of multi-layer deposition, sensor array monitoring and accelerated verification feedback, magnesium alloy quality optimization is achieved, and application of an integrated circuit packaging structure is met.

The invention discloses a method for improving test panel welding test performance result accuracy. The method comprises the following steps that temperature measuring points C are sequentially arranged outwards perpendicular to a workpiece welding seam, and temperature measuring devices are installed at the temperature measuring points C; welding the workpiece, and recording a temperature curve of the workpiece until the temperature of the temperature measuring point C is cooled to 50 DEG C; temperature measuring points C'are sequentially arranged outwards in a manner of being perpendicular to the weld joint of the test plate, and temperature measuring devices are mounted at the temperature measuring points C '; the temperature measuring point C'of the test plate corresponds to the temperature measuring point C of the workpiece, and the distances between the correspondingly arranged temperature measuring points and the center of the welding seam are equal; the test plate is welded, the test plate is rapidly cooled through an accelerated heat conduction device, and the welding temperature is recorded till the temperature of a temperature measuring point C'is cooled to 50 DEG C; the peak temperature of the temperature measuring point and the time for cooling the peak temperature of the temperature measuring point to 50 DEG C are the same or similar; and carrying out physical and chemical property test on the welded test plate. The method has the beneficial effects that the impact toughness of the test plate is similar to that of a workpiece, and the method is used for guiding field production line welding process design and optimization.

The application discloses a full-automatic color difference and temperature curve fitting intelligent heating table, which takes an STM32F407VET6 single-chip microcomputer as a core main control unit, and integrally integrates a high-precision temperature control and heating module, a full-automatic image acquisition module, a real-time color difference analysis module, an intelligent curve fitting module and a linkage control module. After preset parameters of a user, the system automatically completes heating temperature control, triggers image acquisition, color difference value extraction, data binding storage at constant temperature or constant time, and automatically completes curve fitting based on multiple sets of temperature-color difference value data, and outputs optimal fitting results. The application realizes full-process automation of "temperature control-acquisition-value extraction-fitting", does not need manual intervention, solves problems of complicated operation, large data error and low efficiency of a traditional method, and is suitable for rapid acquisition of color difference-temperature curves of multiple samples such as thermochromic coating and high polymer materials.

The invention discloses a copper-clad plate lamination defect real-time identification and process closed-loop regulation and control method and system, and the method comprises the steps: synchronously collecting a visible light image sequence and infrared temperature field distribution data in a lamination process through a multi-mode sensing system, and generating a time-space aligned vision-thermal image fusion data stream; on the basis of the vision-thermal image fusion data stream, identifying the type, position and severity of the lamination defect of the copper-clad plate on line by adopting a lightweight convolutional neural network, and generating a detection result containing a defect feature vector; inputting a detection result into a lamination process digital twinborn model, and generating defect evolution influence prediction data; and dynamically adjusting the pressure distribution of the laminating machine and the temperature curve of the heating unit through an adaptive control algorithm based on the defect evolution influence prediction data. By utilizing the embodiment of the invention, the crossing from passive defect detection to active prevention and accurate regulation and control can be realized, and the production quality, efficiency and product consistency of the copper-clad plate are improved.