1053 results about "Emissivity" patented technology

The invention provides a non-contact multi-mode thermal imager temperature measurement method, and relates to the technical field of non-contact temperature measurement, and the method comprises the steps: collecting the three-dimensional structure information of a measured object, obtaining infrared thermal radiation data, and collecting meteorological parameters; identifying the material and the surface state of the object, and adjusting an infrared emissivity parameter by using a deep learning model; performing cross-modal feature alignment on the related data; and inputting the meteorological parameters into the environment interference model to correct the infrared signal, determining whether the temperature measurement data is qualified, and if yes, repeating until the temperature measurement of the measured area is completed. According to the invention, by fusing the multi-modal data and utilizing the deep learning model, the space-time attention mechanism, the environment interference model and the like, the dynamic calibration of the infrared emissivity, the feature alignment of the multi-modal data and the effective compensation of the environment interference are realized; the problems of large environmental interference, difficult emissivity calibration, insufficient complex scene adaptability and the like of a traditional method are solved, and the temperature measurement precision and reliability are improved.

The invention discloses a preparation method of a flexible material with double functions of radiation refrigeration and photothermal conversion storage, and relates to the field of composite phase change materials. The preparation method comprises the following steps: 1) preparing the flexible phase change material matrix by utilizing n-octadecane, SEBS and POE through hot pressing; 2) preparing a BaSO4 solution by using absolute ethyl alcohol, deionized water, a water-based defoaming agent, a water-based dispersing agent and an acrylic resin emulsion; (3) preparing an MXene solution; and 4) spraying the BaSO4 solution on the surface of one side of the flexible composite phase change material matrix by using a spray gun, and spraying the MXene solution on the surface of the other side of the flexible composite phase change material matrix to obtain the flexible composite phase change material. The radiation refrigeration layer can strongly reflect visible light and near-infrared light, has high emissivity in an infrared light area, especially in an atmospheric window wave band, reduces absorbed atmospheric heat radiation, reduces urban heat island effect caused by dense building groups in cities, and can effectively solve the problems of large day and night temperature difference and heat supply and demand in summer and winter.

The invention provides a SiO2 / TiO2 / PMMA radiation refrigeration film and a preparation method thereof, and relates to the technical field of passive daytime radiation refrigeration films. The radiation refrigeration film is prepared from the following raw materials: N, N-dimethylformamide, polymethyl methacrylate, silicon dioxide and titanium dioxide. The invention relates to a preparation method of a SiO2 / TiO2 / PMMA radiation refrigeration film. The preparation method comprises the steps of preparing silicon dioxide, preparing titanium dioxide, synthesizing composite sol and preparing the SiO2 / TiO2 / PMMA radiation refrigeration film. The SiO2 / TiO2 / PMMA radiation refrigeration film prepared by the invention has high reflectivity in the ultraviolet-visible-near infrared band and high emissivity in the infrared band, can realize 8.4 DEG C sub-environment refrigeration, and is low in cost and simple in process flow.

The invention discloses an automatic identification method and system for power transmission and transformation equipment based on visible light and infrared dual-light fusion. The method comprises the following steps that a visible light image and an infrared image of the same scene are synchronously collected through a dual-light camera carried by an unmanned aerial vehicle; preprocessing the visible light image and the infrared image, including denoising, geometric correction and spatial alignment, in the spatial alignment, feature points are extracted through an SURF algorithm, and image registration is optimized through an RANSAC algorithm; and feature extraction is carried out on the fused image by using a deep convolutional neural network OfficientNet-Lite, and a multi-scale feature map is generated. The method has the beneficial effects that high-precision identification is realized; a dynamic fusion strategy and an attention mechanism enable the insulator crack (gt; 0.1 mm), the detection rate reaches 92%; the anti-interference capability is high, the false alarm rate is reduced from 15% to 4% through a dust compensation algorithm, and the influence of emissivity errors is reduced through material self-adaptive calibration; the whole process from data acquisition to report generation is free of human intervention, and the labor cost is reduced by 70%.

The invention discloses a passive radiation refrigeration coating and a preparation method thereof, and relates to the technical field of industrial coatings. Comprising a fluoroacrylate emulsion, hollow glass beads, nano titanium dioxide, flaky silicon dioxide aerogel powder, polytetrafluoroethylene micro powder, hydroxyl-terminated polydimethylsiloxane, a hydroxyl acrylic acid modified silane coupling agent, a super-hydrophobic modified fluorosilicone surface additive, nano cerium oxide, aluminum fluoride doped zinc oxide infrared enhancement powder and deionized water. The paint is prepared on the basis of the formula. According to the invention, a multi-scale spectrum regulation and control and surface self-cleaning system is constructed cooperatively, so that the synergistic effect of high reflection of a sunlight region and high emission of a middle infrared region is realized. The coating can maintain continuous passive refrigeration in a day and night period, the surface of the coating has self-cleaning capability and excellent ultraviolet aging resistance, and high reflectivity and high radiation emissivity can be maintained for a long time in a complex outdoor environment, so that the thermal management efficiency of buildings and equipment is remarkably improved.

The invention relates to the technical field of refrigeration material preparation, in particular to an efficient passive radiation refrigeration material suitable for a sub-super environment and a preparation method and application of the efficient passive radiation refrigeration material. The method comprises the following steps: uniformly mixing thermoplastic polyurethane, sunlight high-reflection inorganic particles and a phase change material in a solvent; after a chemical foaming agent is added, the obtained suspension liquid is heated and foamed in a confinement mold, and wet gel is formed; and finally, carrying out freeze drying treatment to obtain the composite porous aerogel. The prepared material has a micro-nano porous skeleton formed by TPU, and inorganic particles and PCM are uniformly dispersed in the skeleton wall. Through component cooperation and a special porous structure, the material has extremely high sunlight reflectivity and mid-infrared emissivity, self-adaptive temperature regulation and control are achieved through PCM phase change, the problem that refrigeration of a traditional material fails in the sub-environment such as the vertical surface is effectively solved, and efficient sub-super-environment heat management is achieved.

A composite radiative cooling material includes a first layer including a reflective material, a second layer including a porous material, and a third layer including an emissive material. The optical properties of the respective materials and the arrangement of the respective layers cause the radiative cooling material to exhibit a total solar reflectance greater than 85%, and a thermal emissivity greater than 85% in a wavelength range of 8 to 13 μm. The layers may be in a vertically stacked arrangement, with the third layer capable of directly facing the sky when the composite radiative cooling material is installed for cooling a load, the second layer arranged under the third layer, and the first layer arranged under the second layer. The composite radiative cooling material may be thermally coupled to a cooling load to provide radiative cooling to the cooling load.

The invention relates to a high-temperature-resistant light stealth coating material and a preparation method thereof, and belongs to the technical field of functional materials, the high-temperature-resistant light stealth coating material comprises the following raw materials: boride, silicide, a titanate fluxing agent, metal coated carbide, a zinc oxide coated nano carbon material and a sintering aid; according to the prepared high-temperature-resistant light stealth coating material, the infrared emissivity at the wavelength of 3-5 [mu] m is 0.231-0.245, the infrared emissivity at the wavelength of 8-14 [mu] m is 0.424-0.441, the tensile bonding strength is 40.8-46.4 MPa, and the thermal shock resistance frequency is 153-167.

The invention particularly relates to a three-dimensional radiation field modeling method for performing infrared factor reasoning through poses. The method comprises the following steps: acquiring a to-be-processed target spatial position and target visual angle information; performing coding processing on the target spatial position and the target visual angle information to obtain a high-dimensional spatial position code and a visual angle information code; carrying out splicing processing on the spatial position code and the visual angle information code to obtain a fusion feature code; inputting the fusion feature code into a trained infrared image generation model, obtaining an environment radiation parameter, an extinction coefficient, a temperature parameter and an emissivity parameter, and determining a self-radiation parameter based on the temperature parameter and the emissivity parameter; and performing volume rendering processing on the self-radiation parameter, the environment radiation parameter and the extinction coefficient to obtain a target infrared image. According to the method, physical variables such as temperature and materials can be adaptively updated and adjusted, so that more accurate radiation brightness values can be obtained at different positions and viewing angles.

A method for coating a substrate, in which emissivity values (UE,n) and reflectance values (UR,n) are determined using pyrometers in order to control the temperature of the substrate. Since the wavelengths of the two pyrometers differ slightly, the raw temperature determined from the emissivity value (UE,n) cannot be optimally compensated for using the reflectance value (UR,n). The angular frequencies (ωE, ωR) of the curves of the two values (UE,n) and (UR,n) oscillating over time t differ slightly from one another, leading to an oscillation of the actual temperature value. To counteract this phenomenon, values modified by a numerical time transformation are used rather than the measured values.

The invention provides a cavity target infrared characteristic calculation ray tracing method, and belongs to the technical field of infrared tracing. The method comprises the following steps: importing a CFD data source; a cuboid space grid is generated, and CFD data space distribution is interpolated and reconstructed; a target material and temperature parameters are set; determining the position of a detector and forming a detection situation relationship; gridding a detection space in the transverse direction and the longitudinal direction at the position of the cavity object to form a field pixel space; constructing a reverse ray vector direction, and counting self reflection and reflection radiation of each triangular infinitesimal according to a recursive iteration mode; reconstructing a broadband spectral reflection coefficient according to the narrowband BRDF model and the broadband spectral emissivity; and determining the reflection direction of the infrared rays based on a bidirectional reflection distribution model to realize ray tracing. According to the invention, the control of any ray tracing depth can be realized, the intersection judgment process is greatly simplified, and the problem of high-efficiency and high-precision calculation of the cavity and the low-emission material is effectively solved.

The invention provides a multispectral radiation temperature measurement method and system, and belongs to the field of signal acquisition and processing in an infrared radiation temperature measurement technology. The problems of poor inversion precision and applicability of multispectral radiation temperature measurement are solved. The multispectral radiation temperature measurement method comprises the following steps of: measuring radiation information of the surface of a to-be-measured target by using a multi-wavelength pyrometer; the beam splitting system obtains radiation information of different spectrum channels; photoelectric conversion: converting the optical signal into an electric signal; constructing a target equation and a constraint optimization condition according to the brightness temperature model; carrying out multispectral data processing by utilizing an improved multi-population mixed pigeon inspired optimization algorithm; and the final real temperature and emissivity values are obtained. The device is mainly used for multispectral radiation temperature measurement.

The invention discloses a method for preparing antioxidant MXene through electrochemical stripping, and belongs to the technical field of two-dimensional nano materials. Comprising the following steps: (1) centrifuging a Ti < 3 > C < 2 > T < x > MXene dispersion liquid to obtain a MXene wet solid, and coating the MXene wet solid on two sides of a copper foil; (2) the copper foil coated with the MXene wet solid serves as a cathode, and the cathode and the anode are placed in an electrolytic tank together; and (3) applying a constant voltage for electrolysis, collecting sediments in an electrolytic tank, centrifuging, washing, carrying out suction filtration, and drying to obtain the e-MXene film. The e-MXene prepared by the invention has excellent oxidation resistance and adjustable infrared emissivity, and can adapt to infrared camouflage application under damp and hot conditions.

The invention discloses an equipment on-line temperature measurement monitoring method based on thermal imaging, and relates to the technical field of on-line temperature measurement. The method comprises the following steps: synchronously acquiring reflection spectrum data and infrared thermal radiation data of a target surface through an integrated spectrum sensing module and a thermal imaging module; inverting the initial emissivity of the target area according to the reflection spectrum data based on Kirchhoff's law and a pre-stored material feature library; dynamically correcting the initial emissivity to generate a pixel-by-pixel corrected emissivity matrix; and carrying out pixel-by-pixel temperature calculation on the thermal imaging original data, constructing an equipment surface temperature distribution model, and carrying out abnormity early warning according to a preset threshold value. According to the method, through deep fusion of spectrum sensing and thermal imaging data, pixel-by-pixel emissivity calibration of complex surface equipment is realized, and the temperature measurement precision and reliability are remarkably improved.

The invention discloses an infrared temperature measurement calibration method and device for a CMAS high-temperature corrosion thermal barrier coating. The method comprises the following steps: preparing a thermal barrier coating sample coated with CMAS and provided with holes in the side surface; placing the sample in a high-temperature furnace, and inserting a high-temperature thermocouple into the sample temperature measuring hole; adjusting the high-temperature infrared thermometer to align a temperature measuring light path of the high-temperature infrared thermometer with a to-be-measured area on the surface of the sample; heating the high-temperature furnace to a preset temperature and preserving heat; and comparing thermocouple and infrared temperature measurement data in real time, adjusting the infrared emissivity to enable the difference between the thermocouple and the infrared temperature measurement data to be within a preset error range, and determining the infrared emissivity parameter of the sample at the temperature. According to the method provided by the invention, the infrared temperature measurement parameters of the thermal barrier coating under different CMAS corrosion conditions can be accurately calibrated, so that the corresponding infrared emissivity is obtained, and a key technical support is provided for checking and evaluating the high-temperature CMAS corrosion service life of the thermal barrier coating and testing the reliability of the service life. Meanwhile, the device adopted by the invention is simple in structure, simple and convenient to operate, accurate and effective in test result and good in application value.

The invention discloses a lithium battery laser welding detection method, and belongs to the technical field of nondestructive testing. The method comprises the following steps: acquiring a three-dimensional path point sequence of a to-be-detected welding seam; controlling the transient thermal excitation unit to apply transient thermal excitation along the path; a high-speed multispectral imaging unit is used for synchronously collecting the thermal radiation attenuation process of the weld joint under at least two different spectral bands, and a space-time spectrum data cube is formed; and finally, inputting the data cube into an artificial intelligence model for defect identification. The system correspondingly comprises a three-dimensional visual sensor, a transient thermal excitation unit, a high-speed multispectral imaging unit and a synchronous control and data processing unit. According to the method, different types of welding defects such as air holes and incomplete fusion can be effectively distinguished by analyzing the heat diffusion characteristic difference under different spectral bands, the interference of uneven surface emissivity is inhibited, and the online detection accuracy and reliability of the three-dimensional complex welding seam are improved.

According to the preparation method of the radiation refrigeration colored coating with the double-layer structure, absorption of ultraviolet-visible light and near-infrared wave bands is weakened and heat input is reduced by adding a fluorescent coloring agent and designing a bottom strong reflection layer, meanwhile, high-emissivity varnish is selected as a base material, and the radiation refrigeration colored coating with the double-layer structure is prepared. The capability of emitting heat outwards in a middle and far infrared radiation form of the colored paint is improved, so that efficient cooling is realized. The prepared colored paint has rich and adjustable colors and a good cooling effect, is low in cost and simple in process, and is expected to be applied to the fields of high-power electronic equipment, building heat management and the like.

The invention relates to the technical field of power equipment safety inspection. The power inspection fault diagnosis method and system based on the unmanned aerial vehicle multispectral image are provided, and the method comprises the steps: carrying out the multispectral data collection of power equipment, and obtaining a visible light image, multispectral reflectivity data and infrared thermal image data; dynamically correcting emissivity change caused by oxidation or dirt on the surface of the equipment to generate a dynamic emissivity correction coefficient table; according to the dynamic emissivity correction coefficient table, temperature calibration is carried out on the infrared thermal image data, and a calibrated temperature distribution diagram is generated; and fusing the calibrated temperature distribution diagram, the preprocessed visible light image and a multispectral reflectivity distribution diagram obtained by preprocessing the multispectral reflectivity data, performing multimodal fault diagnosis, and outputting fault types and positions, so as to solve the problems that single spectral data is easy to misjudge, emissivity static assumption errors are large, and the accuracy is high in the prior art. And the problem of insufficient confidence caused by multi-modal data splitting analysis is solved.

The invention relates to a high-temperature heating furnace temperature measurement system based on a temperature emissivity inversion algorithm, and belongs to the technical field of metallurgical industry temperature measurement. The system comprises a spectrum detection system, a master control upper computer and a temperature adjusting system, the spectrum detection system is used for acquiring a plurality of wavelengths and corresponding gray values of a melt in the heating furnace; the temperature adjusting system is used for adjusting the temperature of the heating furnace; the master control upper computer is used for receiving the wavelengths and the corresponding gray values obtained by the spectrum detection system to obtain the spectral radiation brightness corresponding to the wavelengths; obtaining the temperature of the melt in the heating furnace by using a free energy minimization temperature emissivity inversion method based on each wavelength and the corresponding spectral radiance; and the temperature adjusting system is controlled to adjust the temperature of the heating furnace based on the temperature of the melt in the heating furnace. Real-time and accurate temperature measurement of melts with different emissivity is realized, the production cost is reduced, and the temperature measurement precision is high.

The invention discloses a temperature and emissivity joint inversion method for multispectral temperature measurement, and relates to the field of non-contact temperature measurement of high-temperature targets. In order to solve the defect that in the prior art, combined inversion of the emissivity cannot be realized under the condition that the emissivity does not need to be known in advance, the technical scheme provided by the invention comprises the following steps: establishing a multispectral temperature measurement model, constructing a temperature calculation model under each channel, and outputting a plurality of sub-objective functions for optimization; constructing a weighted objective function used for optimization solution; outputting a global optimal solution as an initial point; constructing an optimization model with a penalty function, and outputting the target temperature and the spectral emissivity; and performing simulation verification based on the inversion result, performing error evaluation by setting a typical emissivity curve and a real temperature, and outputting an algorithm precision index. The method is suitable for non-contact high-precision temperature and emissivity combined measurement of a high-temperature target in a complex spectrum environment.

The invention relates to the technical field of infrared measurement, in particular to an intelligent calibration method and system for temperature measurement of an infrared sensor, and the method comprises the steps: enabling an infrared camera to align with a blackbody radiation source to form a calibration scene, collecting the output of a plurality of groups of pixels under different radiation temperatures and different internal part temperature states, fitting a temperature signal response model containing an exponential term and a bias term according to least square to obtain amplitude, exponential, temperature offset and output bias parameters; during measurement, a thermal image containing a target object and two reference blackbody sources is obtained, and parameters such as emissivity, environment equivalent radiation temperature, transmission medium and optical transmission, camera temperature and the like are synchronously obtained; performing non-uniformity and offset correction and abnormal pixel replacement on the thermal image; the initial temperature is inverted based on radiation transfer decomposition and compensation of internal radiation of the camera; and carrying out statistical averaging on the temperatures of the two blackbody reference regions to obtain a double-point correction coefficient, and outputting correction temperature or temperature distribution. According to the method, the problems that temperature inversion model parameters are difficult to adaptively update along with working conditions and on-site temperature measurement errors are difficult to effectively suppress when an existing infrared sensor array is in a long-distance non-contact temperature measurement scene can be solved.

The invention belongs to the field of composite materials, and particularly relates to a nanofiber radiation refrigeration heat insulation film with a bionic multilayer structure. The device sequentially comprises a bionic anti-reflection layer, a solar spectrum reflection layer, a nanofiber porous heat insulation layer and an atmospheric window radiation layer from outside to inside, the bionic anti-reflection layer is a sub-wavelength nano bulge array simulating a moth eye structure and is formed on the outer surface of the solar spectrum reflecting layer; the solar spectrum reflecting layer is a polymer film doped with high-reflectivity nanoparticles; the nanofiber porous heat insulation layer is a porous membrane formed by interweaving polymer nanofibers prepared by an electrostatic spinning technology; the atmospheric window radiation layer is a functional layer formed by coating or blending high-emissivity inorganic nanoparticles on the inner surface of the nanofiber porous heat insulation layer; the film integrates bionic antireflection, high sunlight reflection, efficient heat radiation and physical heat insulation, and efficient, stable and flexible daytime radiation refrigeration is achieved.

The invention discloses a multi-layer flexible radiation cooling composite diaphragm which structurally comprises a flexible base layer film, and a SiO2 inorganic coating, a first layer of polyvinylidene fluoride (PVDF), a nano-silver layer deposited by magnetron sputtering and a second layer of PVDF which are sequentially coated to form a base layer film / SiO2 / PVDF / Ag / PVDF sandwich structure. The SiO2 layer is prepared through a sol-gel method, the surface roughness is smaller than 2 nm, and the visible light transmittance is larger than 95%; the thickness of the silver layer is 50 + / -5 nm, and the total thickness of SiO2 / PVDF / Ag does not exceed 150 nm. According to the composite diaphragm, ultraviolet reflection, visible light high transmission (greater than 92%) and near-infrared high reflection (greater than 88%) are realized through spectrum selective regulation and control, and meanwhile, SiO2 and PVDF synergistically enhance the infrared emissivity of an atmospheric window wave band (8-13 [mu] m). The flexible PET base material is combined with the PVDF interlayer design to restrain silver layer oxidation and interface stripping, the recovery rate is larger than 95% after 1000 times of bending circulation, and the NIR reflectivity attenuation is smaller than or equal to 5%. The composite diaphragm disclosed by the invention has the advantages of high light transmission, efficient cooling, excellent flexibility and long-term stability, and is suitable for flexible scenes such as agricultural greenhouses and the like.

A method for coating a substrate with at least one layer. During deposition of the layer, at least one optical measuring device repeatedly determines successive measurement value pairs on the layer, each containing an emission value corresponding to the radiation power measured at a light wavelength and a reflectance value, which is also measured at a light wavelength. Actual values of a substrate temperature are calculated based on the measurement value pairs and a previously determined correction value. The actual values are used to control a temperature-control device for controlling the substrate temperature to a desired value. To improve the determination of the correction factor, during the measurement and within a plurality of measurement intervals, at least two measurement value pairs are measured and, for each of the measurement intervals, a temperature-dependent factor is determined that is used for the calculation of the correction value.

The invention discloses a coal-fired boiler combustion instability monitoring method and system based on multi-parameter fusion, and the method comprises the steps: constructing a hearth flame imaging system which comprises an image detector, a lens, a stainless steel cavity and a cooling air channel; the flame image intensity is converted into radiation intensity through blackbody furnace calibration, and the flame temperature and emissivity are calculated based on the Planck law; extracting flame characteristic parameters including average radiation intensity, temperature, emissivity and standard deviation thereof; constructing a load-flame characteristic parameter model, and predicting parameter reference values under different loads through multiple linear regression; and calculating a combustion instability index CII, carrying out weighted fusion on the normalized deviation of the real-time measured value and the predicted value, and judging that CII is equal to 1 when the flame area is 0 or the average temperature is lower than 900 DEG C. The flame radiation image and the unit operation parameters are fused, and the limitation of traditional single-parameter monitoring is solved; combustion instability dynamic quantitative evaluation is achieved through the CII index, and the method is suitable for early warning of the deep peak regulation working condition.

The invention relates to a high-reflection-high-emissivity radiation refrigeration coating for power equipment and a preparation method of the high-reflection-high-emissivity radiation refrigeration coating. The coating comprises deionized water, styrene-acrylic emulsion, titanium dioxide, hollow glass beads, zinc oxide, hexacyclic stone powder, a dispersing agent, a defoaming agent, a coalescing agent and a mildew preventive, and mica powder, calcined kaolin, talcum powder, silicon oxide micro powder or block copolymer emulsion can be optionally added. According to the coating, the synergistic effect of various infrared functional fillers and an emulsion matrix is optimized, so that high reflection of sunlight and high emission of middle and far infrared bands are realized. The coating has excellent cooling capacity, self-cleaning performance and environmental adaptability.

The invention discloses a coal yard safety analysis system based on infrared imaging and point cloud data fusion, and particularly relates to the technical field of safety analysis. According to the method, infrared imaging data and three-dimensional point cloud data are collected on the surface of a coal pile, an initial emissivity distribution diagram is constructed, a plurality of local grid areas are divided, and image texture features and surface structure information of each local grid area are extracted. And generating a corrected emissivity distribution diagram through local dynamic compensation on the initial emissivity. And identifying an abnormal region according to the corrected emissivity map, marking the abnormal region as a potential risk region, and evaluating the time dependency of heat diffusion by constructing a heat transfer diffusion model. And evaluating the balance degree of heat distribution in the potential risk area by adopting a fractal analysis method. Based on the time dependency and the spatial heterogeneity of heat diffusion, the safety risk level of the coal yard is evaluated, safety early warning information of the coal yard is generated, and emissivity correction and thermal risk accurate evaluation of the multi-state coal in the mixed coal pile are achieved.

The invention discloses a dynamic self-adaptive radiation refrigeration material which comprises the following components in percentage by mass: 15-30% of matrix resin, 40-60% of a ternary function system, 1-3% of a dispersing agent, 2-5% of a cross-linking agent and the balance of deionized water, the ternary function system is composed of a temperature-sensitive block copolymer, phase change microcapsules and rare earth doped infrared emission particles according to the mass ratio of (1-2): (2-3): (1-1.5). According to the refrigeration material, when the environment temperature is higher than the low critical solution temperature of the temperature-sensitive copolymer, the temperature-sensitive chain segment shrinks to expose the rare earth particles, so that high reflectivity of sunlight and high emissivity of an atmospheric window are realized, and refrigeration is enhanced; when the temperature is lower than the phase-change temperature of the phase-change material, the temperature-sensitive chain segments stretch and wrap the rare earth particles, the infrared emissivity is reduced, heat loss is reduced through phase-change heat release, the dual functions of efficient refrigeration in summer and heat loss reduction in winter are achieved, and the applicability of the coating in an area with the large temperature difference is improved.

The invention discloses a data-driven high-infrared-radiation-characteristic high-entropy rare earth tantalate material screening method and application, and belongs to the technical field of thermal barrier coating materials. The method aims at breaking through the infrared radiation performance bottleneck of a traditional rare earth tantalate ceramic material, a high-precision prediction model of the infrared emissivity of the rare earth tantalate is innovatively developed by constructing a multi-system common data set, and rapid evaluation of the infrared spectral characteristics of the A-site high-entropy rare earth tantalate RE3TaO7 material is achieved. On the basis of the model, a multi-element rare earth tantalate system which comprises (Y < 0.2 > Dy < 0.2 > Gd < 0.2 > Sm < 0.2 > Nd < 0.2 >) < 3 > TaO7 and (Nd < 0.2 > Eu < 0.2 > Dy < 0.2 > Er < 0.2 > Yb < 0.2 >) < 3 > TaO7 and has excellent infrared radiation characteristics is successfully screened out. According to the method, the limitation of traditional small sample material research is broken through through big data modeling, and an efficient theoretical design normal form is provided for developing a novel high-entropy infrared radiation material.

The invention relates to a non-Lambert surface emissivity inversion method, belongs to the technical field of infrared optical measurement and radiation modeling, solves the technical problems of low precision and poor model stability of non-Lambert surface emissivity inversion, and comprises the following steps: measuring original radiation intensity of a non-Lambert surface of a to-be-tested material in different emergent directions; converting the original radiation intensity into directional reflectivity; on the basis of the generalized Lorentz function, diffuse reflection background items are superposed, and a physical prior model is constructed; physical constraint is carried out on the physical prior model parameters; the parameter residual network generates a parameter field, and the parameter field is input into the optimized physical prior model; and carrying out hemispherical integration, and converting the directional reflectivity into directional-hemispherical emissivity. The device and the method are used for infrared thermal imaging measurement, material radiation characteristic characterization and engineering detection in a complex environment.