126 results about "Thermal methods" patented technology

The invention discloses a molten salt heat storage and heat exchange efficiency optimization system and method in a whole-plant technological process. The system comprises a high-temperature molten salt storage tank, a low-temperature molten salt storage tank, a temperature sensor group, a variable-frequency pump group, a multi-stage heat exchanger, an intelligent control unit, a heat buffer module and the like, and the high-temperature molten salt storage tank and the low-temperature molten salt storage tank are connected through a conveying pipeline to form a circulation loop. The intelligent control unit regulates and controls the rotating speed of the pump set and the valve opening degree based on a fuzzy PID algorithm, the heat buffering module reduces heat loss, and the multi-stage heat exchanger enhances heat exchange. The method comprises the steps of temperature and flow data collection, efficiency deviation value calculation, fuzzy PID control, thermal buffer optimization, waste heat feedback and the like. Besides, the system also has the functions of digital twinborn prediction, multi-objective optimization, abnormal working condition self-healing and the like, can be connected with a DCS (Distributed Control System) to obtain energy consumption data and dispatch stored energy, and also can predict equipment faults. The fused salt heat energy storage and heat exchange efficiency is effectively improved, reasonable energy allocation and cost control are achieved, and the reliability and stability of the system are enhanced.

The invention discloses a charging pile intelligent heat dissipation method and device based on heat conduction line optimization and a medium, belongs to the technical field of charging pile heat dissipation, and aims to solve the technical problem of how to avoid the defects of high thermal resistance, response lag and large energy consumption in a traditional charging pile heat dissipation scheme and improve the heat dissipation efficiency and operation reliability of a charging pile. According to the technical scheme, a heat conduction structure is optimized; deploying a thin film thermocouple and constructing a three-dimensional temperature field model through infrared thermal imaging; establishing a thermal resistance-flow-power transfer function model by adopting a fuzzy PID (Proportion Integration Differentiation) and model predictive control hybrid algorithm; historical charging data are analyzed based on an LSTM neural network, a power peak value is predicted 300 ms ahead of time, and heat dissipation equipment is pre-started.

The invention discloses a cold plate-immersion liquid cooling cooperative heat dissipation method based on steam zone coupling modeling, and relates to the technical field of cooperative heat dissipation. Comprising the following steps of S1, collecting collaborative heat dissipation monitoring data of each key position in real time, and performing data preprocessing; s2, the comprehensive risk of the steam area is judged, and a risk cooling adjustment instruction is issued according to the comprehensive risk judgment result; s3, receiving a risk cooling adjustment instruction, carrying out collaborative heat dissipation, evaluating the collaborative heat dissipation capability, adjusting the rotating speed of a circulating pump and the opening degree of a valve, and requesting condensation backflow adjustment; s4, judging the adjusting quantity of condensation reflux, executing reflux adjustment and performing safety monitoring; and S5, continuously monitoring the data of each link, and carrying out anomaly detection on the state of each link to realize anomaly regulation and control. The problems that in an existing single-phase cold plate or two-phase immersion liquid cooling mode, steam accumulation is prone to occurring in a high-heat-flow scene, so that the pressure intensity is increased, the boiling point is increased, and the heat exchange efficiency is reduced, and then the operation reliability of equipment is affected are solved.

The invention relates to the technical field of power supply, and particularly discloses a peak and frequency regulation heat supply method for a multi-element energy storage coupling coal power unit, which is used for solving the problems that only active frequency is optimized, electric heating coordination and charge state constraint are lacked and time delay compensation is insufficient in the prior art. The method provided by the invention comprises the steps of system modeling, controller design, coupling constraint, adaptive parameter adjustment, delay compensation and distributed consensus. According to the method, a dual-domain electric power-thermal interconnection model is constructed, a cooperative controller based on delay compensation distributed model prediction control is designed, electric-thermal cooperative penalty and charge state constraint are introduced into a target function, a prediction window and weight parameters are adaptively adjusted, and network delay is identified and compensated online. And a consensus algorithm is adopted to realize multi-region power-heat collaborative optimization.

The invention provides a centralized heating method and system based on room temperature feedback regulation, and the method comprises the steps: collecting and verifying real-time room temperature data, and generating a room temperature feedback signal; the signals are transmitted to a central control unit for sequential processing, and a temperature-time two-dimensional data matrix is generated; a preset dynamic compensation algorithm is used for calculating a heat demand correction value of each heat supply pipe network key node; the heat supply pipeline flow is dynamically adjusted according to the correction value; and verifying the effect through a closed-loop feedback mechanism and optimizing algorithm parameters. According to the method, a network is constructed to realize multi-node synchronous acquisition and verification, and heat distribution heterogeneity and fluctuation characteristics are captured in combination with matrix processing and interpolation completion. Compared with a traditional single-point sensor, according to the scheme, through two-dimensional mapping and anomaly detection, the adjustment response time is shortened to the sampling period level, the temperature deviation calculation precision is improved to + / -0.1 DEG C level, the overheating-underheating alternating phenomenon is solved, and accurate dynamic matching of the heat demand correction value is achieved.

The invention discloses a heat pump waste heat recovery cooperative heat supply method and system, and relates to the technical field of intelligent heat supply control, and the method comprises the steps: collecting environment data and heat pump operation data through a sensor, and carrying out the data preprocessing; modeling the operation state of the heat pump system by using a gradient lifting tree algorithm, constructing a heat pump load prediction model, and outputting load prediction; in combination with the load prediction result and the heat pump operation data, a collaborative heat supply strategy is obtained through an optimization algorithm; and waste heat recovery scheduling is carried out according to the load prediction result and the current waste heat recovery condition. According to the method, the accuracy and the real-time performance of load prediction can be remarkably improved, heat source configuration and heat supply requirements are highly matched, the waste heat utilization rate is improved to the maximum extent, power consumption is reduced, meanwhile, the indoor comfort degree and the system operation stability are guaranteed, finally, the operation cost is remarkably reduced, and the service life of equipment is prolonged.

The invention discloses a preparation method of a composite micro-groove super-hydrophobic low-ice-adhesion photo-thermal film. The preparation method comprises the following steps: (1) constructing a low-elasticity-modulus photo-thermal composite sponge substrate through a solvothermal method; (2) uniformly coating the surface of a substrate with a polydimethylsiloxane (PDMS) precursor solution by adopting an aerosol-assisted deposition technology, and carrying out thermocuring to form a functional composite interface layer; and (3) constructing a multi-stage scallop surface-imitating micro-nano groove composite structure on the surface of the interface layer by using a femtosecond laser micro-nano processing technology. The prepared film has super-hydrophobicity, the surface of the film is in a Cassie-Baxter wetting state with a 164-degree contact angle and a 1-degree rolling angle, and the film has a surface self-cleaning function. Under the icing condition, the adhesion strength of an ice layer of the system is obviously reduced to 2.57 kPa, the static delay icing time is effectively prolonged to 1587 s, and the system has the photo-thermal response characteristic and can realize rapid icing ablation under the standard solar irradiance; the preparation method has the characteristics of high process controllability, environment friendliness and the like, and is suitable for large-scale continuous production.

The invention discloses a near-isothermal hot spinning forming method and a heat compensation method for a metal workpiece. The forming method comprises the steps that a blank heated to the spinning preheating temperature is transferred and clamped on a workbench, and the blank is located in an effective heat compensation area arranged in a heat compensation system; the blank is subjected to temperature measurement to judge whether the blank temperature meets the temperature before blank spinning so as to determine whether the blank is subjected to temperature compensation waiting in a heat compensation system or not; and then near-isothermal hot spinning forming is completed in a heat compensation system according to a preset spinning program, the heat compensation system continuously compensates the temperature of the blank during spinning and monitors the spinning temperature in real time, and it is guaranteed that the fluctuation range of the spinning temperature does not exceed + / -20 DEG C in the process from spinning deformation to spinning deformation ending. According to the near-isothermal spinning forming technology, spinning equipment of a measurable and controllable semi-closed active heat compensation system is utilized, and the deformation temperature of high-temperature alloy, titanium alloy and other difficult-to-deform metal materials is controlled within a small fluctuation range in the spinning process.

The invention discloses a multi-source energy linkage heat storage method and system based on large-temperature-difference unit cascade heating, and belongs to the technical field of centralized heating and energy comprehensive utilization. The method comprises the steps that water inlet temperature parameters and external environment prediction parameters of a heat supply pipe network are obtained, and load demand characteristics are generated; establishing a dynamic optimization model according to the load demand characteristics and the obtained energy price time sequence parameters; operating parameters of the multi-stage heating unit group and scheduling parameters of the double-medium heat storage tank are calculated through the dynamic optimization model, and a multi-source scheduling instruction is generated; and the multi-source dispatching instruction is executed, and the self-adaptive valve set is controlled to switch a heat source path and is linked with the double-medium heat storage tank to charge and discharge heat. According to the method, the dynamic optimization model is established to cooperatively control the operation mode of the multi-stage heating unit set and the double-medium heat storage tank, cascade efficient utilization and intelligent economic dispatching of multi-source energy can be achieved, and the economical efficiency and the operation stability of the heat supply system are remarkably improved.

The invention relates to a multi-zone heating device and a heating method thereof, and belongs to the technical field of multi-zone heating, and the multi-zone heating method comprises the following steps: S100, manufacturing the multi-zone heating device, and enabling a central heating unit, a first heating unit and a second heating unit to work, the central circular area, the first annular area and the second annular area are heated through heat conduction and / or heat radiation; s200, a first temperature sensor monitors the center temperature of the center circular area, a plurality of second temperature sensors monitor the temperature of the first annular area to obtain a first temperature data set, and a plurality of third sensors monitor the temperature of the first annular area to obtain a second temperature data set; and S300, after the central temperature, the first temperature data set and the second temperature data set are controlled to be in a preset value or a preset range, the central heating unit, the first heating unit and the second heating unit heat the wafer. According to the invention, the multi-zone heating design can be realized, and the temperatures of different zones are allowed to be independently adjusted.

The invention relates to the technical field of transformer intelligent monitoring and heat dissipation control, in particular to a transformer system based on intelligent monitoring and self-adaptive heat dissipation and a transformer heat dissipation method, and the system comprises an intelligent monitoring module which is used for collecting physical quantity data in the operation process of a transformer in real time through a sensor; the data processing and analyzing unit is used for receiving the data transmitted by the intelligent monitoring module and establishing a transformer operation state model; the self-adaptive heat dissipation control module is used for receiving the operation state analysis result and dynamically adjusting operation parameters of the heat dissipation system based on a temperature threshold value and a load rate; and the fault early warning and diagnosis module is used for establishing an operation state evaluation model and a fault prediction model by adopting a machine learning algorithm, receiving an operation state analysis result and comparing the operation state analysis result with an early warning threshold value. Accurate monitoring, self-adaptive heat dissipation and fault early warning of the transformer are achieved, stable operation is guaranteed, and energy consumption is reduced.

The invention discloses a workpiece core-surface zero-temperature-difference heating method, and belongs to the technical field of large workpiece heat treatment. The invention aims to solve the problem of overlarge temperature difference between the surface and the core in the heat treatment process of a large workpiece. Comprising the following steps: on the basis of a one-dimensional unsteady state heat conduction equation, obtaining a heat treatment furnace heating temperature field curve of a to-be-heated workpiece heated from an initial temperature to a set temperature in a heat treatment furnace with a set temperature by adopting a numerical simulation method; meanwhile, a self-resistance heating temperature field curve of the workpiece to be heated under the set current condition is obtained; heating a workpiece to be heated under the condition of a set linear heating rate of a heat treatment furnace and under the condition of a set current of self-resistance heating to obtain a comprehensive heating unsteady-state temperature field curve; and based on the comprehensive heating unsteady state temperature field curve, current is adjusted, self-resistance heating is conducted on the to-be-heated workpiece, the actual comprehensive heating temperature field curve of the to-be-heated workpiece tends to be stable, and uniform heating of the to-be-heated workpiece is achieved. The method is used for heat treatment of large castings and forgings.

The invention discloses a selective laser melting high-temperature preheating device with high-precision temperature control. The selective laser melting high-temperature preheating device comprises a laser; a forming cylinder; the piston is arranged in the forming cylinder in a lifting manner; the mounting plate is arranged on the piston, and a first accommodating groove is formed in the top surface of the mounting plate; the heating plate is arranged in the first accommodating groove and is provided with a heater; the forming base plate is arranged above the heating plate and is provided with a temperature sensor; the cooling mechanism is used for cooling the piston, the mounting plate, the heating plate and the forming base plate; a heat insulation plate is arranged between the bottom wall of the first containing groove of the installation plate and the heating plate. The invention further discloses a selective laser melting high-temperature preheating method with high-precision temperature control. Through the mode, the problem of cracking caused by overlarge temperature gradient in the SLM forming process is solved, the problems of low preheating temperature, low cooling speed and inaccurate temperature control of the formed substrate are also solved, the powder laser absorptivity can be improved to a certain extent, the scanning speed is increased, and the production efficiency is improved.

The invention provides a household heat supply method and system facilitating temperature adjustment. The household heat supply method comprises the following steps that the environment temperature of each to-be-heated area in a to-be-heated room is obtained; the actual heat of each corresponding to-be-heated area is adjusted by using the environment temperature and the preset target temperature of each to-be-heated area; compared with a traditional constant-temperature heat supply system, through refined temperature management, the user experience is improved, the service life of heat supply equipment is prolonged, and due to the fact that the system does not need continuous full-load operation and is intelligently adjusted according to actual requirements, mechanical abrasion and thermal stress of the equipment are reduced.

The invention discloses an intelligent heat dissipation method and system for case heat dissipation, and belongs to the technical field of server case heat dissipation, and the intelligent heat dissipation method comprises the following steps: S1, arranging a heat detection unit and a diversion unit in a case; s2, acquiring real-time temperature information in the case, comparing the real-time temperature information with a temperature threshold value to judge whether a hot spot appears or not, and if the hot spot appears, turning to step S3; s3, confirming a hot spot coordinate, reconstructing a cold air conveying path, and calculating to obtain deflection angle information of the flow guide unit; and S4, the flow guide unit conducts corresponding deflection, cold air conveying path reconstruction is completed, and meanwhile the system capable of achieving the method is provided. According to the intelligent heat dissipation method and system for heat dissipation of the case, the cold air conveying path in the case is reconstructed, so that targeted efficient heat dissipation is carried out on the hot spot position in the case, energy consumption waste is avoided, and the heat dissipation efficiency is improved.

The invention discloses a high-temperature superconducting high-intensity magnetic field homogenization heat treatment method and device for a large-size titanium alloy ingot blank. The adopted device comprises a heating main body structure, a driving assembly, a temperature monitoring and control system and a cooling system. The heating main body structure comprises a supporting frame, an ingot blank rotating clamp, a superconducting coil and an adjustable magnetic core, and the ingot blank rotating clamp is connected with the driving assembly; a temperature monitoring assembly and a control system are arranged outside the ingot blank; the cooling system adopts a liquid nitrogen cooling mode to guarantee stable operation of the superconducting coil. Compared with a traditional titanium alloy heating method, the equipment efficiency can be improved by 82% through the homogenization heat treatment, the heating time is greatly shortened, and the production efficiency is improved. The axial temperature error of the titanium alloy ingot blank can be controlled within + / -3 DEG C, the structure property difference is effectively reduced, and the product quality is improved. The heating depth is increased through low-frequency heating, multiple temperature control modes are achieved in cooperation with a temperature monitoring and control system, and high industrial application value is achieved.

The invention discloses a multi-temperature-zone independent temperature control electric heater and a heating method, belongs to the technical field of temperature control, and can be used for an industrial control system. According to the technical scheme, the multi-dimensional data is obtained, the dynamic parameter model is established, the equipment state evaluation and the multi-objective optimization algorithm are combined, independent and accurate temperature control and energy consumption optimization of multiple temperature zones are achieved, and the method has the advantages that the heating efficiency is improved, the energy consumption is reduced, and the equipment reliability is guaranteed.

The invention belongs to the technical field of carbon fiber pre-oxidation furnace heating, and particularly relates to the technical field of combustion methods of waste or low-grade fuel, in particular to a pre-oxidation furnace hot air heating method and system coupled with heat recovery. According to the method, fresh air to enter the pre-oxidation furnace is divided into two parts, one path of fresh air is mixed with return air of circulating air in the previous technological process of the pre-oxidation furnace after being subjected to gradient heating for multiple times, third gradient heating is carried out, fourth gradient heating is carried out through a heat conduction oil heater, and secondary gradient heating is carried out; and then another path of fresh air which is heated for one time and not mixed is introduced, the fresh air is mixed with the mixed air heated to the temperature higher than the process temperature again, and after the process temperature is reached, the mixed air is fed into the pre-oxidation furnace. And by controlling the flow of the newly introduced fresh air, the effect of accurately controlling the temperature of the mixed air at the process temperature is achieved.

The invention relates to the technical field of micro-channel heat exchange, and particularly discloses an efficient micro-channel heat exchange method and application thereof.The efficient micro-channel heat exchange method comprises the steps that an embedded sensor system is used for monitoring the flow speed, temperature, pressure and flow data of fluid in real time, and fluid state information is obtained in real time; the fluid state information is fluid flow velocity, temperature, pressure and flow data acquired based on an embedded sensor; on the basis of real-time fluid state information, the flow velocity, flow direction and temperature of the fluid or the concentration of the nanofluid are adjusted through big data analysis and an artificial intelligence algorithm; the flow velocity, temperature, pressure and other parameters of the fluid are monitored in real time, big data analysis and an artificial intelligence algorithm are combined, the flow state of the fluid is accurately adjusted, the phenomena of uneven flow and stagnation flow are reduced, and therefore the overall heat exchange efficiency is improved. Besides, by optimizing the thermal conductivity, the hydrophilic-hydrophobic property and the surface roughness of the coating on the surface of the micro-channel and applying a nano material, the heat exchange capacity between the fluid and the wall of the micro-channel is enhanced.

The invention relates to the technical field of chemical heat storage, in particular to a multi-energy complementary peak regulation heat supply method and device based on chemical heat storage. The method comprises the steps that firstly, real-time weather information and calendar information of an area where the heat supply pipe network is located are collected; based on the two types of information, a first heat supply energy consumption curve, namely an actual heat supply demand curve, of the current area is generated through feature fusion and a prediction model; comparing the heat supply energy consumption curve with a preset second heat supply energy consumption curve, namely an inherent heat supply capacity curve of the traditional energy power supply unit, and calculating to obtain a heat supply energy consumption fluctuation curve reflecting a supply-demand gap; and finally, the on-off state and opening degree of each valve and output of a traditional energy power supply unit are dynamically regulated and controlled according to the fluctuation curve, multi-energy collaborative scheduling is achieved, through the mechanism, the heat supply requirement and energy supply can be accurately matched, the energy utilization efficiency is remarkably improved, green power consumption is maximized, and the operation cost is reduced.

A laser packaging system and an intelligent heat dissipation method therefor. The system comprises: a laser array module (1) having a plurality of lasers (101) arranged at intervals, each laser (101) being provided with a heat sink (102), and the heat sink (102) being provided with a thermoelectric cooler (TEC) (103); a training module (2) used for training and verifying a deep learning model on the basis of an actually measured temperature of the laser (101) within a certain time period and historical operation state data, so as to output a trained deep learning model; a prediction module (3) used for inputting a measured first parameter and second parameter of the laser (101) into the trained deep learning model to generate a predicted temperature, the first parameter comprising power, and the second parameter comprising an operation time; and a temperature adjustment module (4) used for controlling, on the basis of the predicted temperature, the TEC (103) to adjust the temperature of the laser (101). The modules work in conjunction to predict the temperature of each laser (101) so as to drive the TEC (103) to dissipate heat of the laser. The whole system has a relatively simple structure, and no excessive sensors need to be provided, thereby greatly reducing the packaging difficulty and cost.

The invention discloses a multi-heat-source complementary combined heat supply method, which relates to the technical field of intelligent heat supply, and comprises the following steps: S1, constructing a distributed heat source management module: deploying a multi-element sensor to obtain heat source operation data, mastering a heat source rule through processing and analysis, regulating and controlling equipment according to a threshold value and early warning abnormity, S2, constructing an energy supply and demand matching algorithm, S3, constructing an intelligent scheduling platform, and S4, managing the intelligent scheduling platform. S4, establishing an energy storage and adjustment mechanism; S5, optimizing a heat supply pipe network and distribution; and S6, performing emergency guarantee plans and measures. By constructing a distributed heat source management module, an energy supply and demand matching algorithm and an intelligent scheduling platform, accurate monitoring and intelligent control of heat source equipment parameters, optimization of a heat supply strategy, integration of data and visual interaction are realized, the management efficiency and flexibility are improved, heat source abnormity is timely processed, heat load change is adapted, and the energy utilization rate is improved. And the equipment is remotely controlled, so that the stability of the heat supply system is comprehensively guaranteed, and unnecessary energy waste is reduced.

The invention relates to a water heater fixed-point preheating method and system based on self-learning user habits. The water heater fixed-point preheating method comprises the following steps that S1, historical data of all water consumption points of a user under the zero cold water condition are continuously obtained; s2, updating the preference score of each water consumption point based on the historical data of each water consumption point; s3, comparing the preference scores of the water consumption points, and determining the water consumption point with the highest score as a target water consumption point; and S4, a user instruction is received, and a water heater is controlled to conduct fixed-point preheating on a water using pipeline corresponding to the target water using point. According to the method, intelligent fixed-point preheating under the condition of non-specified water consumption points is realized in a mode of intelligently learning user habits, so that excessive preheating is avoided, the energy loss is further reduced, and the use experience of the user is improved.

The application belongs to the technical field of control system, and particularly relates to a composite heating method and system for starting and running of a molten salt pipeline, which comprises a resistance electric heat tracing band evenly laid along the outer wall of a pipeline to be heated, and an electromagnetic induction heat tracing device arranged on a set pipe section of the outer wall of the pipeline at a specific interval; when the pipeline is in an empty pipe state, the resistance electric heat tracing band is started, and the whole pipeline is heated to a first preset temperature higher than a solidification point of molten salt according to a pipe wall temperature; when the whole pipeline temperature reaches the first preset temperature and is maintained for a set time, and the temperature field stability condition and the heat preservation duration condition are met, molten salt is injected into the pipeline, then the resistance electric heat tracing band is turned off, and the electromagnetic induction heat tracing device is started; at this time, the molten salt medium temperature at the outlet of the pipeline is taken as a control target, and the temperature of the molten salt in the pipeline is maintained at a higher second preset temperature by independently adjusting the power of each distributed electromagnetic induction heat tracing device. Through coupling of the heating mode and the medium state, a balance is achieved among safety, energy consumption and temperature control.

The invention relates to the technical field of metal material performance detection, and discloses a method for detecting ductile-brittle transition temperature of a metal material based on a thermal method. The method comprises the following steps: acquiring the average grain size of a material through three-dimensional characterization, quantitatively estimating the movable dislocation density generated by grain boundary thermal activation emission at a specific temperature in combination with a preset dislocation emission coefficient, and linearly superposing the movable dislocation density with the inherent pre-stored movable dislocation density of the material to obtain a total movable dislocation density estimated value. And comparing the total movable dislocation density calculated at different temperatures with the ductile-brittle transition critical threshold obtained from the material knowledge base to determine the critical temperature meeting the condition, namely the ductile-brittle transition temperature. According to the method, the mechanical prediction of the ductile-brittle transition temperature is realized by quantifying the contribution of a key dislocation source from a plastic deformation microphysical mechanism, and the dependence of a traditional method on a large number of destructive experiments is reduced.

This invention discloses an open, non-contact liquid heating method, comprising: collecting temperature data of multiple points of dialysis fluid and heating unit, and obtaining flow rate deviation and temperature sensor consistency deviation indices during dialysis fluid infusion; preprocessing the temperature data to obtain a stable multi-source temperature data sequence; fusing the multi-source temperature data to obtain the dialysis fluid characterization temperature, and analyzing it in conjunction with temperature change characteristics, flow rate deviation, and temperature sensor consistency deviation indices to construct a system state characterization quantity; identifying the heating stage based on the system state characterization quantity, using the dialysis fluid characterization temperature as the control target, generating heating control quantities according to the heating stage, and introducing compensation corrections when the flow rate changes; performing anomaly detection based on the system state characterization quantity, and jointly judging it in conjunction with the flow rate deviation and temperature sensor consistency deviation indices, generating anomaly scores based on the judgment results, and outputting corresponding hierarchical control strategies.

The invention relates to the field of material testing, in particular to a thermal imaging detection device for an intelligent terminal, and the thermal imaging detection device comprises a detection mechanism which comprises a shell, detection equipment is arranged in the shell, two ends of the shell are respectively provided with a display screen and a protective lens, and the bottom of the shell is provided with a switch; the adjusting mechanism comprises a rotating disc on the shell, a fixing plate is arranged on the rotating disc, a groove is formed in the fixing plate, a grip is arranged at the bottom of the fixing plate, a cavity and a sliding groove are formed in the grip, an overturning part used for driving the shell to rotate is arranged on the fixing plate, and a stabilizing part is arranged in the sliding groove. The stabilizing part is provided with a pulling part used for releasing limitation of the shell, the stabilizing part is provided with an anti-falling part, and the anti-falling part is provided with a reset part. And the anti-fog mechanism comprises a circulation part on the shell. And through the arrangement of the detection mechanism, the adjusting mechanism and the anti-fog mechanism, the defect of the material can be tested by applying a thermal method under different conditions.

A laminate cooling structure performance optimization method adaptive to uncertainty analysis comprises the following steps: firstly, establishing a parameterized finite element model of a flame tube laminate cooling structure, and realizing flow heat exchange mechanism analysis of the laminate cooling structure by adopting a solid-thermal coupling mode; carrying out a DOE experiment by using Latin hypercube sampling LHS, generating a parameter set, importing the parameter set into a parameterized finite element model, obtaining a data set of a training proxy model BP-NN by combining a laminate cooling structure solid-heat coupling heat exchange method, and carrying out uncertainty quantification in a design space of the parameters of the laminate cooling structure by using an MC simulation method; using a Sobol sensitivity analysis method to analyze the uncertainty of the laminate cooling structure; the training agent model is combined with a multi-target particle swarm optimization algorithm to carry out multi-target optimization on the laminate cooling structure parameterization, and a laminate cooling ideal structure is found in the Pareto frontier; according to the method, the calculation cost and time of uncertainty analysis are reduced, and the calculation cost of laminate cooling uncertainty analysis is greatly reduced.

The invention discloses a dynamic matching heat supply method and device based on heat load prediction and a medium, and the method comprises the steps: obtaining real-time environment data and historical heat supply data of a target heat supply area to construct a multi-dimensional data source, inputting the multi-dimensional data source to a pre-trained long-short-term memory network model, and outputting a heat load prediction value in a future designated time period; real-time heat data of a municipal heat source is obtained, and a municipal heat source flow adjusting instruction and an air source heat pump output adjusting instruction are generated based on a preset heat source matching algorithm; the municipal heat source flow adjusting instruction is sent to a flow adjusting executing mechanism in a municipal heat supply pipe network to control the heat supply amount of a municipal heat source, and an air source heat pump output adjusting instruction is sent to an air source heat pump control unit to control the start-stop state and the heating output power of an air source heat pump; and the real-time heat supply amount of the municipal heat source and the air source heat pump is monitored in real time, and the real-time heat supply amount is compared with the heat load predicted value to adjust the municipal heat source flow adjusting instruction and the air source heat pump output adjusting instruction.