1698 results about "Thermal conduction" patented technology

The invention discloses a public building cold load short-time prediction method fusing physical information, and the method comprises the steps: collecting and preprocessing the historical cooling capacity, indoor environment, outdoor weather and equipment operation state data of a public building at a fixed time interval, and obtaining multi-dimensional input features; respectively establishing a workday sub-model and a holiday sub-model according to workday and holiday scene division; the workday sub-model and the holiday sub-model jointly form a cold load prediction model, the workday sub-model adopts a long short-term memory (LSTM) network, and the holiday sub-model adopts a light gradient elevator (Light GBM); a physical constraint loss function based on building energy balance and heat conduction residual error is introduced in the training process, and the physical constraint loss is fused into a total loss function according to a weighting coefficient so as to constrain that the output of each sub-model accords with the law of energy conservation and thermal inertia; monitoring the prediction error MAPE in real time and performing online calibration; and outputting a short-time cold load prediction result.

The invention relates to the technical field of gas detection, in particular to a detection circuit based on an NTC thermistor and a heat conduction meter. The detection circuit based on the NTC thermistor comprises a main NTC thermistor which is suspended in air flow; the constant current source circuit is used for providing constant working current for the main NTC thermistor; the detection resistor is arranged between the main NTC thermistor and a ground node; the ADC sampling circuit is used for sampling analog voltages at two ends of the detection resistor into digital signals; the constant temperature adjusting circuit is used for controlling the magnitude of the current output by the constant current source circuit according to the voltage of the main NTC thermistor, so that the main NTC thermistor is kept at the target temperature; the temperature compensation circuit is used for detecting the temperature of the environment where the heat conduction measuring meter is located; and the processing unit is used for determining a detection result according to the digital signal and compensating the detection result according to the environment temperature. According to the detection circuit based on the NTC thermistor, the response speed and the measurement precision of measurement are improved.

The invention relates to the technical field of semiconductor packaging and cooling, and particularly discloses a diamond-copper composite micro-channel-based cooling and packaging structure which comprises a packaging shell and a diamond-copper heat conduction plate with the bottom in floating lap joint through an elastic sealing ring. A plurality of heat exchange stand columns are integrally formed on the upper surface of the heat conduction plate, and the heat exchange stand columns are inserted into the containing counter bores of the packaging shell to form micro-channel annular gaps. A piezoelectric vibration plate dividing the medium cavity into a storage cavity and a jet flow cavity is integrated in the packaging shell, and the jet flow cavity communicates with a flexible connecting pipe section arranged over the heat exchange stand column in a suspended mode. Spiral fins are arranged on the surfaces of the heat exchange stand columns, horn-shaped flow guide pieces are arranged at orifices of the containing counter bores, and C-shaped groove flow guide fins which are arranged in a staggered mode are arranged on the bottom face of the heat conduction plate. According to the invention, low-thermal-resistance, high-flux and high-reliability direct contact type active heat dissipation for a high-power-density device is realized.

The invention provides an underground pipeline leakage detection method and system based on physical enhancement thermal inertia imaging, and belongs to the technical field of pipeline detection, and the method comprises the steps: obtaining an earth surface thermal field and environment meteorological parameters of a current target area; the surface thermal field and the environmental meteorological parameters are input into a double-flow physical information neural network model, a predicted background thermal field is obtained, the double-flow physical information neural network model is obtained through training based on leakage-free historical data and a total loss function, and the total loss function comprises physical loss items determined based on a one-dimensional heat conduction partial differential equation; calculating a space-time residual image of the earth surface thermal field and the predicted background thermal field, and obtaining an apparent thermal inertia distribution map of the earth surface based on the space-time residual image and environmental meteorological parameter inversion; and detecting whether the underground pipeline in the target area leaks based on the space-time residual map, the apparent thermal inertia distribution map and a preset condition. According to the invention, the accuracy of underground pipeline leakage detection can be improved.

The invention discloses a high-heat-conductivity leakproof liquid metal phase change heat-conducting gasket and a preparation method thereof, and relates to the technical field of heat-conducting gaskets. The preparation method comprises the following steps: alloying high-heat-conductivity low-melting-point liquid metal gallium with high-heat-conductivity metal silver and copper, mixing with a polymer containing a specific functional group, adding a modified heat-conducting filler, and carrying out UV curing to form the heat-conducting gasket. Liquid metal is easily alloyed to form eutectic alloy, the melting point can be increased, a chemical cross-linked network formed by the modified heat conduction filler and UV curing can make up heat conduction loss, a heat conduction path is established, the interface thermal resistance is reduced, and the heat conduction efficiency is remarkably improved. The surface oxide layer interacts with the polar group of the polymer, and the steric hindrance effect of the cross-linked network is combined to synergistically realize the leak-proof effect. The high-heat-conductivity leakproof liquid metal phase change heat-conducting gasket prepared by the invention has the effects of high heat conductivity and leakproof.

The invention discloses an energy storage battery thermal diffusion modeling method based on P2D-solid heat transfer coupling, and relates to the technical field of energy storage battery thermal management. The method comprises the following steps: constructing a pseudo two-dimensional (P2D) electrochemical model and a three-dimensional heat conduction model of a single battery, and calculating lithium ion concentration, potential and corresponding heat source distribution; mapping the obtained heat source as a volume heat source to a thermal model and realizing bidirectional feedback; setting a thermal runaway triggering condition to simulate temperature rise abrupt change; battery SOH state modeling is introduced, and the aging process is dynamically corrected and reflected through material parameters; finally, time domain simulation is carried out, and temperature field evolution and safety behavior prediction in the whole life cycle are obtained. According to the method, the coupling process of the microelectrochemical reaction and the macroscopic temperature change of the battery can be captured at the same time, the thermal diffusion characteristics of different decline stages are accurately described, and visual modeling of thermal runaway behaviors is supported. The method has the remarkable advantages of high precision, high applicability, perfect safety assessment capability and the like.

The invention provides a vehicle fault diagnosis system based on heat conduction time-frequency fusion and a vehicle, and relates to the technical field of vehicle fault diagnosis, and the method achieves the comprehensive perception of the states of multiple subsystems of the vehicle through the integration and preprocessing of multi-source heterogeneous data. On the basis, the heat conduction time-frequency fusion diagnosis platform cooperatively operates three core models: the time-frequency fusion model dynamically fuses a frequency domain long-term degradation trend and a time domain short-term fluctuation characteristic, and accurately outputs a health degree index, a residual safe life and a degradation type of each subsystem; the heat conduction model constructs a cross-system fault propagation network with physical significance according to a physical layout and function coupling relationship between subsystems, and quantifies a fault influence weight by using a heat conduction cross-system association operator, so that a high-confidence propagation path is effectively identified, and a fault source is accurately positioned; and the multi-modal verification model further combines vision, radar and historical operation and maintenance data to perform cross verification on the diagnosis result, so that the reliability of the diagnosis conclusion is improved.

The invention discloses a preparation method and structure of a photon integrated laser, and the method comprises the steps: dividing a device into seven functional regions, including two modulator regions, two gain regions, two front grating regions and a common rear grating region; an active material of a modulator region and a passive material of a grating region are respectively formed through two times of butt-joint growth; after sampling gratings are manufactured in the front grating area and the rear grating area, a cladding layer, a contact layer and a ridge waveguide structure grow, cantilever beam heat insulation structures are formed on the two sides of the ridge waveguide of the shared grating area, and finally electrodes of the rear functional areas are manufactured. Wavelength tuning of the two lasers is achieved by sharing the rear grating area, and the size of the lasers is effectively reduced; the cantilever beam structure of the rear grating area is utilized to effectively reduce heat conduction, improve wavelength tuning efficiency and reduce power consumption; through the double-end integrated electro-absorption modulator, bidirectional light emission of a single integrated chip is realized, signal modulation of different bidirectional light emission wavelengths can be carried out, and the utilization rate of optical fiber transmission is improved.

The invention discloses a thermal metamaterial-based satellite component layout-deck structure integrated optimization design method, which belongs to the technical field of satellite thermal management, and comprises the following steps: carrying out geometric description on components, and carrying out interference calculation between the components; selecting a planar four-node rectangular unit discrete design domain, and representing a component temperature field as an interpolation relation of node temperature; designing an optimization target and constraint, converting the optimization target and constraint into a standard optimization column formula, and searching an optimal component layout scheme; the method comprises the following steps: carrying out topological optimization design on a satellite deck structure on the basis of a thermal metamaterial design idea, determining a thermal metamaterial function type and dividing a local deck design domain; discretizing each design unit, carrying out topological optimization design on the discretized design units, and searching a microstructure with the highest matching degree between the macroscopic equivalent heat conduction tensor and the theoretical heat conduction tensor of the central position of the design unit; and assembling the microstructure to obtain the deck structure. According to the invention, global thermal management and local thermal management of the satellite cabin can be realized.

The invention discloses an intelligent temperature control system for mass concrete, and the system comprises a state collection module which collects initial parameters of the concrete in real time, carries out the time sequence alignment and noise filtering of the state parameters of the concrete, and obtains the temperature state data of the concrete; the intelligent analysis module is used for inverting concrete thermal parameters through a physical information neural network based on the concrete temperature control data, substituting the concrete thermal parameters into a heat conduction finite element control equation to calculate space-time evolution of the whole-field temperature and stress field, and obtaining twin data of the concrete structure; and the prediction optimization module is used for executing multi-step rolling in a multi-input single-output branch mode based on the twin data of the concrete structure to predict temperature and stress evolution in a future time period, and learning dynamic association among the temperature, the stress and the cooling flow to execute minimum energy consumption screening of a temperature control standard and stress constraint to obtain an optimal cooling control instruction.

The utility model relates to the technical field of PET (Polyethylene Terephthalate) sheet cooling, and discloses a cooling device after PET sheet extrusion, which comprises an operation table, a cooling table is fixed on one side of the operation table, a plurality of rolling shafts are arranged in the cooling table at intervals, and a cooling structure is arranged above the cooling table. Through the arrangement of the cooling structure, a sheet sequentially penetrates through the three cooling rollers, the surface temperature of the sheet is rapidly reduced to a reasonable range through contact of the cooling rollers, the internal and external temperature difference is reduced, then the sheet enters the cooling bin, cold air is circularly sprayed out through the upper and lower cold air pipes, and the upper and lower surfaces of the sheet are uniformly cooled; a worker conveys cooling water to the atomization spray head through the conveying pipe and the flow dividing bin, sprayed water mist is distributed on the surface of the sheet along with cold air, heat is rapidly taken away after heat absorption and vaporization, the heat conduction efficiency is remarkably improved through combination of the cold air and the water mist, the sheet is cooled more efficiently and evenly, and the surface quality and the size stability of the sheet are further guaranteed.

The application discloses a heat pipe heat sink welding process based on heat conduction and belongs to the technical field of welding. The welding equipment is composed of a vacuum box, a control box, an electromagnetic device, a heating plate, a control box, a vacuum straight-through pipe with a water cooling jacket, a water pipe, a vacuum variable-diameter cross pipe, a gas release valve, a vacuum valve, a condenser, a vacuum bellows, a vacuum pump, a baffle valve, a gas collecting pipe, a smoke hood, a liquid cooling source and a smoke purifier. The application has the advantages that the problems of product performance decline and even scrapping caused by the floating of the heat pipe in the traditional welding process are perfectly solved, the welding quality is improved, the vacuum pump is protected and the service life of the vacuum pump is prolonged, the process is simple and easy to implement, and the production cost can be greatly reduced.

In the system, an electromagnetic simulation module establishes a three-dimensional electromagnetic field model of the transformer based on a finite element method, and calculates magnetic field distribution, winding eddy current loss and iron core hysteresis loss to obtain loss data; the fluid-solid coupling calculation module is connected with the electromagnetic simulation module so as to simulate a transformer oil flowing and heat conduction process based on computational fluid dynamics; the optimization design module is connected with the fluid-solid coupling calculation module so as to perform parametric modeling and optimization on the winding structure, the cooling channel and the cooling fin layout through the hot spot position and temperature distribution based on a multi-target genetic algorithm and an agent model; the state evaluation and heat dissipation adjustment module is connected with the data interaction layer so as to analyze the health state of the transformer based on sensor data and simulation results, predict the hot-spot temperature trend and dynamically adjust operation parameters of the cooling system through a self-adaptive heat dissipation adjustment algorithm.

The utility model discloses a battery device and an electric device. The battery device comprises a plurality of single batteries, a composite heat insulation pad is arranged between every two adjacent single batteries, each composite heat insulation pad comprises at least one first heat insulation layer and at least one second heat insulation layer, and the first heat insulation layers and the second heat insulation layers are alternately stacked. The first heat insulation layer is a ceramic fiber heat insulation layer or an aerogel heat insulation layer, and the emissivity of the second heat insulation layer is smaller than or equal to 0.3. The first heat insulation layer can play a better role in insulating heat conduction and heat convection; in the heat transfer process, besides heat conduction and heat convection, the form further comprises heat radiation, the higher the temperature is, the larger the radiant heat proportion is, the emissivity of the second heat insulation layer is low, most of the radiant heat can be isolated, the second heat insulation layer and the first heat insulation layer are structurally compounded, the total heat of heat transfer between the battery monomers can be reduced, and the heat transfer efficiency is improved. Therefore, the risk of thermal runaway of the battery device is reduced.

The invention provides a near-wellbore hydraulic fracture deformation and expansion heat-fluid-solid coupling simulation method and system, and the method comprises the steps: generalizing a reservoir rock mass into a matrix and a fracture, building a heat-fluid-solid coupling mathematical model, and describing the mechanical processes of fluid flow, heat conduction and convection, rock mass deformation and fracture expansion; a three-dimensional displacement discontinuous method DDM and a virtual stress method FSM are adopted to calculate the induced stress of the fracture and the induced stress of the shaft respectively, and fluid flow, temperature change, matrix deformation and mass heat exchange of a matrix and the fracture are calculated through a finite volume method and a finite element method; on the basis of linear elastic fracture mechanics, the crack propagation direction and speed are calculated in combination with the maximum circumferential stress criterion and the Paris scale law; and a dynamic grid fracture front edge tracking technology is adopted to update the fracture form, a three-dimensional non-planar fracture expansion model is formed, and near-wellbore hydraulic fracture full-process simulation is realized.

The invention relates to an anti-overtemperature control method and system for an aluminum alloy sheet heating furnace, and the method comprises the following steps: arranging a plurality of thermocouples in the length direction and the width direction in the heating furnace, forming a temperature matrix, and collecting the temperature distribution data of a working area in the furnace in real time; a transient heat conduction prediction model of the aluminum alloy sheet is established, and the model is combined with physical property parameters of aluminum alloy and comprises the relation that the specific heat capacity, the heat conductivity coefficient, the density and the emissivity change along with the temperature; based on the temperature matrix and the transient heat conduction prediction model, predicting a temperature rise curve of the thin plate in a future set time; and when the predicted temperature exceeds the preset safety threshold value, the heating power or the start-stop state of the corresponding heating area is adjusted in advance, and active anti-overtemperature control is achieved.

The invention discloses a floor heating structure with a phase change material layer and a preparation method of the floor heating structure, and belongs to a floor heating structure, the floor heating structure comprises a base material layer, the phase change material layer, an auxiliary heat conduction layer and a floor surface layer from bottom to top in sequence; a metal heat-conducting net is embedded into the lower part of the base material layer; the phase change material layer comprises the following components in percentage by weight: 53%-58% of methyl laurate, 30%-35% of n-decanol, 5%-8% of nano aluminum oxide, 4%-6% of polyvinyl alcohol and 0.5%-1.5% of carboxymethyl cellulose. Solid-liquid phase change is carried out through the phase change material layer, redundant heat is absorbed, latent heat is released when a heat source is shut down, and therefore frequent starting and stopping of the heat source are reduced, and energy consumption is reduced. According to the multi-layer heat conduction design, through collaborative optimization of the metal heat conduction net and the auxiliary heat conduction layer, the heat efficiency of the floor heating structure is further improved, the heat response time is shortened, the latent heat characteristic of the phase change material is utilized, the heat buffering effect can be achieved in the floor, the heating temperature fluctuation range is reduced, and the heating comfort is improved.

The invention belongs to the technical field of heat-conducting composite materials, and particularly relates to a high-heat-conductivity boron nitride composite film and a preparation method and application thereof. The boron nitride composite film is prepared from the following raw materials: boron nitride nanosheets serving as heat-conducting filler; the cellulose nanofiber is used as a polymer matrix; wherein the mass ratio of the boron nitride nanosheets to the cellulose nanofibers is (4: 6)-(6: 4); the average transverse size of the boron nitride nanosheet is 3-20 [mu] m, the thickness is 48-201 nm, and the aspect ratio is greater than or equal to 200. Through combination of vacuum filtration and a cold pressing process and control of the size and the use amount of the boron nitride nanosheets, high in-plane orientation and close contact of the boron nitride nanosheets in the boron nitride composite film are realized, formation of an efficient heat conduction network is facilitated, the in-plane heat conductivity of the obtained film is up to 74.97 Wm <-1 > K <-1 >, and the in-plane heat conductivity of the obtained film is up to 74.97 Wm <-1 > K <-1 >. Meanwhile, the material has high insulativity, flexibility and thermal stability, and is suitable for the field of thermal management of electronic devices.

The invention belongs to the technical field of information technology, and discloses a moxibustion temperature control method and system based on multi-sensor fusion, and the method comprises the steps: obtaining a biopotential signal and position offset data from an acupoint region through a sensor, processing the biopotential signal through a classification algorithm, and obtaining a classified potential distribution mode; on the basis of the classified potential distribution modes, heat conduction influence data between adjacent acupoints are obtained, the position offset data are integrated through an information fusion algorithm, fused physiological state indexes are determined, and the problem of measurement distortion caused by acupoint movement and equipment offset is solved through multi-source data fusion and dynamic error compensation; and meanwhile, the system constructs an accurate potential distribution model by utilizing a spatial calibration and classification algorithm, and temperature control accuracy reaches a millimeter level in combination with real-time position tracking, so that the integrity and reliability of data are remarkably improved.

The invention relates to the technical field of double-component pouring sealant testing, and discloses a thermal conductivity testing method and system based on a double-component heat-conducting pouring sealant. The method comprises the following steps: classifying base material component proportions and curing conditions of the two-component heat-conducting pouring sealant, and determining a material curing state classification label; loading a corresponding heat conduction reference model, judging the thermal response coverage of the model, and generating correction parameters and updating the model by thermodynamic simulation when the thermal response coverage is insufficient; based on the updated model, applying heat source excitation to the sample under a preset temperature change gradient, and collecting surface dynamic temperature field distribution data; extracting a heat conduction offset position and an abnormal temperature rise node, and generating an abnormal thermal behavior identification group; obtaining temperature change correlation time of the offset position in the identification group, and calculating a thermal response delay interval and a conduction path offset; therefore, the temperature lag time length and the heat flux attenuation ratio of each layered interface of the sample in the continuous thermal cycle period are extracted, a layered thermal resistance response characteristic value is generated, and a reliable basis is provided for evaluating the heat-conducting property of the two-component heat-conducting pouring sealant.

The invention belongs to the field of high-thermal-conductivity composite materials, and particularly relates to a 3D printing copper-diamond composite high-thermal-conductivity material and a preparation method thereof.The 3D printing copper-diamond composite high-thermal-conductivity material comprises a copper matrix and diamond particles dispersed in the copper matrix, and the surfaces of the diamond particles are provided with metal coatings; the copper matrix is formed by copper powder with the particle size of 10-100 microns, and the volume fraction of the diamond particles in the composite material is 40%-50%; according to the method, the titanium plating layer is prepared on the surface of the diamond, the stable titanium carbide transition layer is formed through the reaction of titanium and carbon, the interface thermal resistance between the diamond and copper is remarkably reduced, the interface bonding strength is improved, and heat conduction is facilitated. The selected area green laser 3D printing technology is adopted, a green laser device shows remarkable advantages in the field of 3D printing of copper alloy, and the heat conductivity of the prepared composite material can reach and is remarkably higher than that of pure copper by optimizing the diamond volume fraction and 3D printing process parameters.

The invention discloses an adjustable targeting area type cryoablation needle with a heating function and a novel refrigerant hole structure, and belongs to the technical field of interventional medical instruments, the adjustable targeting area type cryoablation needle comprises a needle rod, a vacuum wall, a J-T groove, a J-T groove sleeve and an adjusting device; the vacuum wall is sleeved with the needle rod, the area from the far end of the needle rod to the far end of the vacuum wall is a target area, the area of the vacuum wall is a vacuum heat insulation area, and the vacuum wall comprises a vacuum wall outer pipe and a vacuum wall inner pipe; the J-T groove is formed in the vacuum wall inner tube, the far end of the J-T groove is located in the far end of the needle rod, and a side hole is formed in the side wall of the J-T groove; the J-T groove is sleeved with the J-T groove sleeve; the J-T groove sleeve and the vacuum wall are fixed together through a connecting piece and can move synchronously and axially. And the adjusting device is used for adjusting the length of the target area. By innovatively designing the arrangement of the cooling ablation air holes and the heat conduction isolation layer, more accurate control over the cryoablation range is achieved, and the safety and effectiveness of cryoablation interventional therapy are improved.

The invention provides a building damage early-stage detection method and system based on multi-field coupling and related equipment, and relates to the technical field of house safety monitoring. Respectively acquiring excitation acoustic response, selected wave band spectral reflection and transient heat conduction response signals of the target building facade; performing time-frequency domain transformation processing on the signal to obtain a multi-physical field feature vector; obtaining target building facade material attribute parameters and environmental action historical data, and constructing a degradation evolution knowledge graph according to the attribute parameters and the environmental action historical data; performing similarity matching on the multi-physical field feature vector and each degradation mode feature template, and judging whether a potential degradation mode exists or not; if yes, time sequence correlation analysis is carried out on the potential degradation mode, physical field characteristic evolution trends in continuous M collection periods are determined, and a degradation development rate index is determined accordingly; and when the index is greater than a preset rate threshold, generating degradation early warning information.

The invention belongs to the technical field of electric furnace temperature monitoring, and particularly discloses a distributed optical fiber temperature measurement calibration and early warning method avoiding interference of an electric furnace cooling pipe. The influence of the cooling pipe on the temperature sensing point is quantified according to the heat flux density ratio between the temperature sensing point and the cooling pipe, and the interfered temperature sensing point is screened based on the influence; the fitting temperature of the interfered temperature sensing point is corrected based on heat conduction loss or flow deviation of the cooling pipe; identifying peak temperature sensing points, and removing temperature sensing points with the gradient of the peripheral thermal field lower than a peak threshold in the heat affected area of the cooling pipe; performing early warning judgment based on the temperature rise rate of the peak temperature sensing point and a dynamic early warning threshold value; noise data in early warning judgment is eliminated based on the simulated heating rate; and finally, a temperature change curve of each temperature sensing point is smoothed based on the heat flow conservation constraint of the thermal field. According to the method, accurate monitoring of the electric furnace temperature under the influence of the electric furnace cooling pipe is achieved, and powerful support is provided for efficient production and safe operation of the electric furnace.

The application discloses a large-current aluminum alloy conductor polypropylene insulated medium-voltage power cable and belongs to the technical field of cable preparation, which is used to solve the technical problem that the shielding performance and heat dissipation performance of the polypropylene insulated power cable in the prior art need to be further improved. The polypropylene insulated power cable prepared by the application introduces modified core-shell carbon-nitrogen bodies and silicon-oxygen-nitrogen polypropylene into a polypropylene insulation layer, and a nucleating agent is used to regulate the crystalline structure. The modified core-shell carbon-nitrogen bodies improve the interface heat conduction and charge distribution, the silicon-oxygen-nitrogen polypropylene enhances the chain segment stability and crystalline compactness, and the nucleating agent makes the matrix form a uniform microstructure. Through the structure design, the cable insulation layer maintains a high level in terms of heat distortion temperature, thermal conductivity and volume resistivity, and at the same time, good electromagnetic shielding efficiency is realized, and the heat resistance, thermal conductivity and insulation performance are comprehensively improved.

The invention provides a liquid crystal screen heating method and system, a medium and a product, and relates to the technical field of automatic control, and the method comprises the steps: firstly, obtaining a heat influence coefficient matrix representing the heat conduction relation between heating areas, and measuring the initial temperature data of each heating area through a temperature sensor; when any temperature is lower than a preset temperature lower limit threshold value, the temperature rise amount of each heating area is calculated based on the target temperature, a temperature rise matrix is determined, the target heating power of each heating area is calculated in combination with the heat influence coefficient matrix and the temperature rise matrix, and the heating control module sends corresponding heating signals to each heating circuit according to the target heating power so as to heat the heating circuits. All the areas are heated at different powers, and finally synchronous rising of the temperature of all the heating areas is achieved. According to the scheme, the technical problem that in the prior art, a liquid crystal screen is heated unevenly is solved.

The invention discloses a humanoid robot bionic skin heating temperature control method, and belongs to the technical field of robot automatic control, and the method comprises the following steps: obtaining real-time temperature distribution data of a bionic skin surface, carrying out time domain differential processing to generate temperature change rate data, and combining the obtained real-time pressure distribution data to construct a contact surface heat conduction characteristic; and generating a basic heat energy supply strategy based on the steady-state components in the heat conduction characteristics of the contact surface, performing dynamic weighted fusion on the basic heat energy supply strategy and an instantaneous heat flow disturbance compensation amount calculated based on the instantaneous dynamic components in the heat conduction characteristics of the contact surface, generating a control heating instruction, and driving a heating unit in the bionic skin to execute a heating action. The real-time pressure and the temperature change rate are integrated to construct the heat conduction characteristic of the contact surface, and the characteristic is decomposed into a steady-state component and an instantaneous dynamic component for feed-forward compensation control, so that predictive compensation can be performed on external thermal disturbance, and rapid and stable control on the temperature of the bionic skin is realized.

The invention provides a crack depth prediction method based on an infrared thermal imager and deep learning, and relates to the technical field of crack prediction.The method comprises the steps that a cooling infrared thermogram sequence and a visible light image of a crack area under thermal excitation are synchronously collected, and multi-modal features are extracted after registration fusion; based on consistency verification of heat conduction inversion, a width-depth empirical relation and a traditional detection means, a crack depth label with high confidence is automatically generated, and a data set with the label is constructed; and finally, designing a deep learning model containing attention enhancement and multi-scale fusion, learning a mapping relation between an input image and depth, and realizing accurate prediction of the crack depth. According to the method, a multi-source information consistency verification mechanism is introduced, physical model inversion, experience statistics and measured data are mutually verified, the bottleneck problem that high-quality deep labels are difficult to obtain in engineering practice is effectively solved, and a reliable training data basis is provided for a deep learning model.

The invention provides a lithium battery cargo abnormal temperature rise identification method, and belongs to the technical field of lithium battery customs detection.The lithium battery cargo abnormal temperature rise identification method comprises the steps that a temperature sensor array is arranged on the surface of a lithium battery cargo stacking body to collect multi-point temperature time sequence data, and trend characteristics are extracted through wavelet packet decomposition denoising and singular spectrum analysis; establishing a state space model based on a heat conduction partial differential equation, estimating an internal temperature field state by using Kalman filtering, solving a heat conduction inverse problem by using a conjugate gradient regularization iterative algorithm to invert an internal three-dimensional temperature distribution field, and inputting an inversion result and statistical characteristics into a thermal anomaly identification model fused with manifold learning. Dimensionality reduction is carried out through a local linear embedding algorithm, a mahalanobis distance is calculated in a low-dimensional manifold space, an abnormal temperature rise risk score is output, when the score exceeds a preset threshold value, early warning is triggered, and the technical problem that the abnormal temperature rise in the lithium battery cargo stacking body is difficult to accurately recognize through surface temperature measurement is solved.

The invention relates to the technical field of geothermal energy development and utilization, and discloses a multi-well cooperative enhanced heat exchange method for medium-deep layer geothermal energy waterless exploitation. According to the method, an inverted-cone-shaped heat conduction network comprising a center main heat collecting well, an auxiliary heat conduction well array and a temperature-sensitive phase change heat conduction bridging grouting area is constructed. During operation, a low-temperature working medium is injected into the central well to reduce the temperature of the grouting area to be below the phase change temperature, phase change shrinkage of the microcapsules is triggered, the high-thermal-conductivity filler is induced to make contact with one another, a thermal-conductivity seepage network is constructed, and the thermal conductivity of the grouting area is converted into an enhanced state from a ground state. The auxiliary heat conduction well gathers far-field heat and transmits the far-field heat to the center well according to the gravity assisted heat pipe principle. According to the invention, the microstructure evolution of the material is driven by using a temperature field, the self-adaptive adjustment of the heat conductivity is realized, the heat removal volume is obviously enlarged, the heat loss of the shaft during the non-operation period is reduced, the geothermal energy exploitation efficiency is improved, and the reverse loss of the heat of the working medium in the shaft to the stratum during the non-operation period is reduced.