79 results about "Spectral absorption" patented technology

The invention belongs to the technical field of deep learning and image processing, and discloses an underwater image enhancement method based on tensor learnable prior. By designing learnable prior based on a Tensor Train kernel, explicit modeling of the underwater degradation law is realized. The four Tensor Train kernels correspond to the height, the width, the channel and the image block modality respectively, so that the system can simultaneously describe the vertical structure change, the horizontal scattering, the spectral absorption difference and the regional scale attenuation, thereby obviously enhancing the description capability for the underwater multimode degradation. The Tensor Train kernel is dynamically generated based on the kernel prediction sub-network, the prior structure of the method can be adaptively adjusted along with the input image, and the stability and generalization ability of the enhancement result are improved. According to the method, color shift is effectively corrected and scattering blur is inhibited while the structure edge is kept, so that the enhancement process is changed from traditional black box type mapping to physical consistency structured reasoning, and more natural colors, higher contrast and better detail recovery effects are obtained in a complex turbid environment.

The invention provides a thermal injection gas temperature measurement method and system based on spectral absorption, and the method comprises the steps: obtaining absorption spectrum signals before and after ignition of thermal injection gas, and carrying out the baseline correction of the absorption spectrum signals after ignition based on the absorption spectrum signals before ignition; performing environmental absorption interference processing on the corrected post-ignition absorption spectrum signal to obtain a target absorption signal reflecting the self absorption characteristic of the thermal injection gas; based on the target absorption signal, total integral absorbance in the two different measurement frequency bands is determined, and according to the ratio of the total integral absorbance of the two different measurement frequency bands, the pre-established mapping relation between the total integral absorbance ratio and the temperature is combined, and the temperature of the thermal injection gas is obtained through inversion. The invention provides a thermal injection fuel gas temperature measurement method based on a combined absorption spectral line so as to solve the problems of alignment of absorption signal base lines, interference removal of absorption components outside fuel gas jet flow, temperature inversion based on the combined absorption spectral line and the like, and a high-temperature fuel gas jet flow temperature measurement result is obtained.

The invention discloses an on-orbit spectrum precision test method and equipment for an ultraviolet hyperspectral remote sensor, and the method comprises the steps: selecting a high-resolution reference solar spectrum higher than the spectral resolution of the ultraviolet hyperspectral remote sensor, and calculating a reference standard solar spectrum according to the high-resolution reference solar spectrum; establishing a reference wavelength library according to the reference standard solar spectrum of the ultraviolet band, and selecting a standard absorption line meeting conditions as a reference wavelength; screening an absorption peak center position of the observation spectrum, finding an absorption peak center closest to the reference wavelength in combination with the reference wavelength library, and constructing a peak searching database of the absorption peak center of the discrete spectrum; and calculating a difference value between the central wavelength calculated according to the peak searching database and the corresponding reference wavelength to obtain the spectrum calibration precision of the ultraviolet hyperspectral remote sensor. According to the method, the precision difference of the spatial dimension can be identified, the distribution of the overall system deviation is quantified, and reliable support is provided for on-orbit precision verification and performance optimization of the ultraviolet hyperspectral remote sensor.

According to the photo-thermal evaporation-photocatalysis hydrogen production system, hydrogen production can be carried out while seawater desalination is achieved through a photo-thermal evaporation-photocatalysis hydrogen production composite material, photo-thermal conversion can be achieved through carbonized wood (wood subjected to surface carbonization treatment), and seawater is evaporated to obtain water vapor; the water vapor participates in hydrogen production reaction on the surface of the photocatalytic hydrogen production catalyst as a reaction raw material. The photo-thermal evaporation-photocatalytic hydrogen production composite material provided by the invention not only can broaden spectral absorption, but also can expand the absorption wavelength of a sunlight spectrum to visible light and near-infrared regions; meanwhile, the interface reaction resistance is also reduced, and electron-hole separation and transfer are optimized, so that the utilization rate of light energy is improved, and the yield of hydrogen is further improved.

This invention belongs to the field of food or beverage processing technology, specifically relating to an intelligent evaluation and brewing control system for tea infusion quality based on multi-source sensor fusion. The system uses a multi-wavelength optical sensor array and distributed temperature sensors to acquire spectral absorption peak shift characteristics and temperature gradient vectors, respectively, and then concatenates them to construct a three-dimensional tensor containing time, spatial height, and wavelength dimensions. This three-dimensional tensor is input into a spatiotemporal graph convolutional network. Its spatial graph convolutional layer extracts spatial features using temperature nodes at different height levels as vertices and thermal conduction physical relationships as edges; the temporal convolutional layer extracts temporal features; and the fully connected layer outputs the predicted solute release rate and the deviation value of the target temperature gradient. The controller generates pulse-width modulation signals based on the deviation values ​​to adjust the heating plate power and the timing of the water injection valve. This invention jointly analyzes heat distribution and solute concentration changes, and corrects control commands based on the physical release state of the solute, ensuring that temperature field changes match solute diffusion.

The invention discloses a self-powered ferroelectric energy converter based on a triboelectric-photoelectric coupling effect, and belongs to the technical field of energy conversion and photoelectric detection. According to the converter, an Ag2O-BNT (Bi3. 15Nd0. 85Ti3O12) composite ferroelectric material prepared by a sol-gel method is adopted to form a ferroelectric film structure, and electrodes are connected to the top and the bottom of the converter. According to the structure, the transfer amount of friction induced charges can be modulated through photon-generated carriers, and self-powered ultraviolet-visible light detection and mixed energy collection are achieved. Under the illumination condition, the voltage signal of the photoelectric detector is obviously reduced, and the current signal of the hybrid energy collection device is improved. The invention has the advantages of low cost, high response speed, wide spectrum absorption and the like, and can be widely applied to flexible electronic and wearable equipment.

This application discloses a method for simultaneous monitoring and intelligent calibration of multi-component gas NDIR, relating to the field of gas detection technology. It solves the technical problem of low accuracy in gas concentration detection results caused by overlapping absorption spectra between different gases in existing non-dispersive infrared gas detection technologies. The method includes: determining several first and second detection gases based on spectral absorption data; a first wavelength channel corresponding to the first detection gas; calculating the gas concentration of the first detection gas corresponding to the first spectral signal based on the first spectral signal and the incident spectral signal; selecting several interfering gases corresponding to each second detection gas based on the gas concentrations corresponding to the several first detection gases, and determining the second wavelength channel of the second detection gas; calculating the corresponding gas concentration of the second detection gas based on the second spectral signal, the incident spectral signal, and the gas concentrations corresponding to the interfering gases; thus improving the detection accuracy of gas concentration.

The invention belongs to the technical field of photothermal conversion materials, and discloses a preparation method and application of an inorganic-organic hybrid polyoxotungstate photothermal material with wide spectrum absorption. The structural formula of the photo-thermal material is Per4W10O32, the crystal structure belongs to a triclinic system, the space group is P-1, and the photo-thermal material has specific unit cell parameters. The preparation method comprises the following steps: oxidizing perylene molecules through constant current electrolysis in a mixed solvent system containing perylene molecules and a decatungstate precursor in an electrochemical oxidation manner, and assembling the oxidized perylene molecules with decatungstate anions to form bulk crystals; the photo-thermal material has continuous strong absorption in a region from ultraviolet light to short wave infrared, the photo-thermal conversion efficiency is as high as 98.24%, when the photo-thermal material is applied to the fields of solar driven interface photo-thermal evaporation and water treatment, the evaporation rate of a two-dimensional system is 1.89 kg.m <-2 >. H <-1 >, the evaporation rate of a three-dimensional hydrogel system is increased to 3.02 kg.m <-2 >. H <-1 >, salt deposition can be inhibited in long-term seawater desalination operation, and the photo-thermal material has a good application prospect. Fresh water quality meets drinking water standards.

The present invention provides a cellulose acylate film containing a specific ultraviolet light absorber, a polarizing film using the cellulose acylate film, and a liquid crystal display device, the cellulose acylate film contains more than two ultraviolet light absorbers, at least one of the ultraviolet light absorbers is required to satisfy the following conditions: the absorption capability is mainly concentrated in a 315-400 nm wave band, and the absorption capability of the other one of the ultraviolet light absorbers is not concentrated in a 315-400 nm wave band, and the absorption capability of the other one of the ultraviolet light absorbers is not concentrated in a 315-400 nm wave band. The absorptive amount of the wave band needs to account for 75% or above of the total absorptive amount of the wave band within 250-600 nm, and the wave band has excellent durability such as weather resistance and heat resistance and can block ultraviolet rays with long waves of 380 nm or below. The prepared cellulose acylate film is excellent in spectral absorption performance, little in coloring, excellent in transparency and sufficient in ultraviolet absorption capacity, even if the cellulose acylate film is exposed to high-temperature and high-humidity conditions for a long time, ultraviolet rays can be effectively blocked, and the cellulose acylate film meets the increasing market requirement for use in severe environments.

The invention relates to the technical field of photoelectric materials, in particular to an asymmetric Y-series receptor and fluorene coupled compound and a preparation method and application thereof. The invention provides a fluorenyl-cyclic structure-asymmetric Y6 ternary fusion structure with a clear structure-function relationship. The rigid plane structure of fluorene provides excellent hole transport capability and inherent thermal form stability for molecules. The asymmetric Y6 can effectively regulate and control the energy level structure of molecules and enhance intramolecular charge transfer, and meanwhile, the asymmetric structure of the asymmetric Y6 is beneficial to inhibition of excessive crystallization and optimization of phase separation. The combination of the two can generate a synergistic effect. The fluorene unit can compensate voltage loss caused by introduction of bromine, and realizes wider spectral absorption and higher charge generation and transmission efficiency through combined action. A cyclic structure is introduced into a fluorene core, so that the LUMO energy level of the whole molecular receptor is effectively increased. The compound as an acceptor material is excellent in performance, has a three-dimensional charge transfer characteristic, and is beneficial to improvement of charge mobility.

The invention relates to the technical field of gas sensing, and discloses a cavity enhanced spectral absorption gas detection system and method based on AR-HCF, and the system comprises a light source part, a transmission part, a gas chamber part, a signal detection part and a demodulation part; the air chamber part is a mode interferometer, the mode interferometer is composed of a single-mode fiber (SMF), a gradient refractive index multimode fiber (GIF) and an anti-resonance hollow-core fiber (AR-HCF), the gradient refractive index multimode fiber is welded to the output end of the single-mode fiber, the anti-resonance hollow-core fiber is welded to the output end of the gradient refractive index multimode fiber, and the gradient refractive index multimode fiber and the anti-resonance hollow-core fiber are welded to the output end of the gradient refractive index multimode fiber. According to the AR-HCF-based cavity enhanced spectral absorption gas detection system, the gas sensing unit is of an all-fiber structure, so that the AR-HCF-based cavity enhanced spectral absorption gas detection system is small in size, high in electromagnetic interference resistance, low in cost and convenient to integrate.

According to the graded photo-thermal-gradient needle tip array type saline-alkali soil evaporator and the preparation method thereof, cork wood-derived cellulose is used as a matrix raw material, a graded photo-thermal layer of carbon nano tubes and biochar is constructed, a gradient-size needle tip array is designed, and a porous hydrogel matrix structure is optimized, so that the graded photo-thermal-gradient needle tip array type saline-alkali soil evaporator is obtained. And the evaporator with the functions of efficient photo-thermal conversion, directional water transmission and thorough salt falling is prepared. The full-spectrum absorption efficiency of the prepared evaporator is larger than or equal to 95%, the salt crystallization falling rate is larger than or equal to 98%, the evaporation rate reaches 1.8 kg / mh under one sunlight intensity, the performance degradation is smaller than or equal to 5% after 100-hour continuous operation, the problems that a traditional evaporator is low in photo-thermal efficiency, salt is left and accumulated, and the water transmission resistance is large can be effectively solved, and the evaporator is suitable for saline-alkali soil treatment, fresh water generation and mineral salt collection scenes.

Systems, methods, and computer program products for multi-model emission determinations are provided. An example imaging system includes an infrared (IR) imaging device configured to generate second IR image data of a first field of view of the IR imaging device at a second time and a computing device operably connected with the IR imaging device. The computing device receives the second IR image data of the first field of view from the IR imaging device and accesses a first detection model associated with the first field of view of the IR imaging device. The first detection model is generated based upon first IR image data of the first field of view of the IR imaging device generated at a first time. The computing device further generates first spectral absorption data based upon the second IR image data and the first detection model for detecting a fugitive emission.

A MEMS-based high-sensitivity super-wide-spectrum uncooled infrared detector and a preparation method thereof, the high-sensitivity super-wide-spectrum uncooled infrared detector comprising: a temperature-sensitive phase change material layer configured to absorb infrared light to realize phase change; a micro-nano heater located below the temperature-sensitive phase change material layer and supporting the temperature-sensitive phase change material layer, configured to provide heat so that the temperature-sensitive phase change material layer is at a phase change critical temperature; and an infrared enhanced absorption layer arranged above the temperature-sensitive phase change material layer and configured to increase the spectral absorption width of infrared light.

The invention provides preparation of Bi (at) C / BiOCl heterojunction dispersion liquid, construction of a photoelectrochemical sensor and a method for detecting chloramphenicol. The preparation method comprises the following steps: mixing a BiOCl dispersion liquid and a Bi (at) C dispersion liquid, and performing ultrasonic dispersion to obtain a Bi (at) C / BiOCl heterojunction dispersion liquid; biOCl and Bi (at) C are compounded to prepare the Bi (at) C / BiOCl heterojunction photoelectric material, so that the spectral absorption range and the photon-generated carrier separation efficiency of a single material can be remarkably improved, and charge recombination is inhibited; the prepared Bi (at) C / BiOCl heterojunction material is used for electrode modification, and a photo-electrochemical sensor based on the Bi (at) C / BiOCl material, which is good in photoelectric property and stable in response signal, is obtained. The photoelectrochemical sensor provided by the invention realizes the detection of chloramphenicol, the adopted instrument is cheap and portable, the preparation method of the sensor is simple and feasible, the signal response is fast, the sensitivity is higher, and the detection limit is as low as 9.6 mu M.

This invention belongs to the field of solid mineral exploration and evaluation technology, specifically disclosing a rapid field identification method for altered rock-type niobium-tantalum mineralization based on spectral measurements. The method collects spectral data of altered rocks, extracts Fe-OH and Mg-OH spectral absorption characteristic position data after envelope removal, and completes preprocessing through outlier identification and interpolation filling. After adaptive smoothing, weighted fusion, and standardization, multi-model parameter fitting is performed, and the optimal model is selected by combining goodness of fit and information criteria. After smoothing and inflection point analysis of the fitted values, the niobium-tantalum mineralization grade range is determined. This invention achieves in-situ, non-destructive, rapid, and intelligent field identification, determining the degree of mineralization without laboratory testing, significantly improving prospecting efficiency, reducing exploration costs and risks, filling the gap in rapid spectral identification technology for altered rock-type niobium-tantalum mineralization, and providing efficient technical support for the exploration of strategic rare metal resources.

The application relates to a polycarbonate composite material and a preparation method thereof, and belongs to the technical field of high polymer materials; the composite material is composed of the following components in parts by weight: polycarbonate 70-80 parts, ABS resin 20-30 parts, a compatilizer 3.2-4.5 parts, a lubricant 0.6-0.8 parts, a modified light stabilizer 0.42-0.55 parts and an antioxidant 0.13-0.18 parts; the modified light stabilizer has a specific organic silicon-ester group alternating chain structure, a hindered amine group is introduced on the chain, is different from a conventional hindered amine light stabilizer, does not passively protect through spectral absorption or free radical capture, but actively and accurately acts on a micro-weak phase interface of the PC / ABS composite material, effectively relieves light aging of the phase interface, simultaneously forms a mechanical gradient transition zone at the phase interface, and effectively improves the overall performance of the composite system.

The invention relates to a rocket boosting section tail flame infrared radiation characteristic time sequence dynamic simulation method, and belongs to the technical field of infrared radiation characteristic simulation. The method for dynamically simulating the time series of the infrared radiation characteristics of the tail flame of the rocket boosting section comprises the following steps: firstly, acquiring dynamic input source data, then dynamically simulating a flow field of the tail flame boosting section of the rocket, and then calculating infrared radiation characteristic parameters and solving a radiation transfer equation. And finally, correcting the time sequence of the infrared radiation intensity of the tail flame based on an atmospheric radiation transmission model, and finally completing the dynamic simulation of the time sequence of the infrared radiation intensity of the boosting section of the tail flame of the rocket. According to the method, the coupling influence of multiple physical fields such as a flow field, chemical components, spectral absorption and atmospheric attenuation can be considered synchronously, and the accuracy of infrared characteristic simulation of the rocket tail flame is remarkably improved. The method adapts to flight working conditions and environmental condition changes at different moments, and keeps calculation effectiveness and stability, thereby effectively breaking through the limitation of a traditional tail flame infrared radiation characteristic simulation method in the aspect of dynamic nature.

This invention relates to the technical field of photovoltaic cells, and more particularly to a biomimetic perovskite-silicon nanoparticle photovoltaic cell and its preparation method. The cell comprises, from bottom to top, a transparent conductive substrate, an electron transport layer, a nano-silicon antireflective layer, a perovskite / nano-silicon composite light absorption layer, a transition layer, a nano-silicon modified transport layer, a hole transport layer, and a metal electrode, stacked sequentially. By constructing a four-layer biomimetic structure, the nano-silicon antireflective layer reduces reflection and blocks ultraviolet light; the composite absorption layer achieves full-coverage absorption of 400-1200 nm through the complementary spectrum of nano-silicon and perovskite; the transition layer optimizes energy level matching; and the modified transport layer enhances charge transport. This invention solves the technical problems of narrow spectral absorption, poor stability, and high carrier recombination rate in existing cells, significantly improving photoelectric conversion efficiency and adaptability to extreme environments, making it suitable for both terrestrial and space photovoltaic applications.

The present application relates to the technical field of photo-thermal catalytic materials, and discloses a method for microwave-assisted synthesis of FeS2 / MoS2 composite materials and application of the FeS2 / MoS2 composite materials in photo-thermal catalytic reduction of CO2.The present application obtains FeS2 nanosheets by pretreating natural pyrite, and then adds a molybdenum source and a sulfur source to prepare MoS2 / FeS2 photo-thermal catalytic composite materials by microwave hydrothermal synthesis.The present application promotes in-situ growth of MoS2 on the surface of FeS2 by microwave heating, MoS2 and FeS2 both exist in the form of two-dimensional nanosheets, and there is a stable two-dimensional / two-dimensional heterojunction interface with an atomic-level Fe-S-Mo chemical bond.The structure not only widens the spectral absorption range, but also uses the interface chemical bond as an electron transport channel to improve the interface charge separation efficiency and photo-thermal conversion capacity, so that CO2 can be efficiently reduced to CO2, thereby providing a new technology for resource utilization of CO2.

A phototherapy system and spectral absorption measurement device are provided for adjusting parameters used to generate phototherapeutic light by determining a tissue's spectral absorption characteristics by employing detector assemblies that analyze the tissue's effect on specific wavelengths of light.

The invention relates to the technical field of water quality monitoring, and provides a water quality full-spectrum absorption monitoring method and system based on a Transform architecture aiming at the problems of high response delay, insufficient prediction precision and the like of a traditional method. The method comprises the following steps: acquiring absorption spectrum data in a range of 190-820 nm through a full-band spectrum sensor, preprocessing the absorption spectrum data, inputting the preprocessed absorption spectrum data into a Transform model deployed by edge equipment for feature extraction and regression prediction, and outputting key water quality parameters such as COD, ammonia nitrogen and total phosphorus; and based on a prediction result, real-time risk early warning and sampling frequency dynamic adjustment are realized by using an AI self-diagnosis algorithm, and data are synchronized to a cloud through Internet of Things communication for storage, analysis and model optimization. The system is composed of a data acquisition module, an edge processing module, a local decision-making module and a cloud synchronization module, integrates spectrum sensing, lightweight model reasoning, multistage early warning control and multi-protocol communication functions, finally realizes high-precision and low-delay intelligent water quality monitoring, and is suitable for long-term reliable operation of water bodies such as rivers and lakes.

The invention discloses a cobalt ore prospecting method and system based on spectral absorption depth, and belongs to the new technical field of spectral prospecting methods and mineral product prediction. The method comprises the following steps: acquiring short-wave infrared hyperspectral data of a to-be-detected area to-be-selected research object through an image sensor and an intelligent sensing system, performing continuous spectrum removal processing, and extracting mechanism sensitive wave band absorption band depth parameters; constructing a cobalt ore spectrum diagnosis index based on the parameters, and performing inversion on the cobalt element enrichment intensity to form a continuous response field; introducing the response field into a space potential field model to carry out gradient analysis, and revealing enrichment abnormal space convergence characteristics; according to the method, multi-source response information is fused in combination with local space continuity constraints, intelligent identification, prediction, accurate positioning and quantitative exploration of cobalt mineralization abnormity under a complex geological background are realized, and the problem that a traditional remote sensing method is insufficient in ability of identifying concomitant class isomorphic hidden mineralization is solved; the method has the advantages of high recognition degree, accurate positioning prediction, accurate quantitative prediction, wide applicability and the like.

The invention belongs to the technical field of acetic acid analysis, and particularly relates to a quick-mounting acetic acid water content analyzer which comprises an adjusting plate, a near-infrared spectrum analyzer is fixedly mounted on one side of the adjusting plate, a spectrum absorption sensor is electrically connected to the near-infrared spectrum analyzer through a connecting wire, and the quick-mounting acetic acid water content analyzer comprises a quick clamping assembly; the rapid clamping assembly comprises two adjusting blocks slidably connected to one side of the adjusting plate, and pulleys are rotationally arranged on the two sides of each adjusting block. By means of the rapid clamping assembly, the acetic acid water content in multiple areas in the pipeline can be detected, and therefore the accuracy of an analysis result can be improved. In addition, compared with the mode that a set of sensors is installed at each detection point, the scheme has the advantage that the cost is remarkably reduced while the multi-point detection requirement is met.

The application discloses a high-precision spectral noise elimination method and system based on TDLAS technology and relates to the technical field of gas concentration optical detection. The method obtains the center frequency and half-width parameter of a Lorentz model by fitting the standard gas sampling data, determines the adaptive cutoff frequency according to the center frequency and the half-width parameter, and performs digital low-pass filtering on the to-be-detected gas sampling data. The filtered data is divided into an absorption interval and two non-absorption intervals. The local phase information of the interference fringes in the non-absorption intervals is extracted and weighted third-order polynomial fitting is performed to obtain the baseline of the whole region. The application extracts the local phase of the interference fringes in the non-absorption intervals in real time and converts the local phase into the basis for weighted fitting. The processing link is constructed by combining adaptive filtering and constrained Lorentz fitting. The phase extrapolation compensation is used to eliminate the residual error of the interference fringes caused by temperature fluctuation, the spectral absorption area more accurately reflects the real absorption strength, and thus the precision of low-concentration gas detection is improved.

The invention belongs to the technical field of hyperspectral remote sensing, and relates to a method for rapidly extracting chlorite minerals by using 02D data of resource I. The method comprises the following steps: step 1, carrying out atmospheric correction and ortho-rectification on the 02D data of the resource I; 2, calculating a single-band mean value image of a first spectral absorption valley of the chlorite altered mineral; 3, calculating a single-band mean value image of a second spectral absorption valley of the chlorite altered mineral; 4, calculating a single-band mean value image of a first spectral reflection peak of the chlorite altered mineral; 5, calculating a single-band mean value image of a second spectral reflection peak of the chlorite altered mineral; 6, calculating chlorite altered mineral single-band images for multiple times by adjusting floating parameters, and storing the chlorite altered mineral single-band images with relatively good extraction effects; and 7, determining a chlorite mineral distribution range by using a density segmentation method, and outputting vector elements. According to the method, the chlorite mineral extraction speed and the chlorite mineral extraction accuracy are improved.

The invention relates to a method for synchronously and rapidly detecting multiple parameters of respirable dust and silicon dioxide on a membrane, and belongs to the field of dust monitoring. The method comprises the following steps: S1, carrying out on-membrane sampling and Fourier infrared spectrum scanning on the quartz respirable dust, taking the quartz respirable dust as a spectrum library of a standard sample, and establishing a standard silicon dioxide and quartz respirable dust quality prediction model based on a spectrum absorption peak of silicon dioxide at 800cm <-1 >; s2, selecting different types of dust, carrying out on-film sampling and spectrum comparative analysis, and establishing spectrum databases and dynamic correction models of different types of dust; and S3, aiming at concentration calculation deviation caused by sampling flow fluctuation, establishing a flow compensation and concentration calculation model, and finally realizing synchronous detection of multiple parameters such as respirable dust mass concentration, silicon dioxide mass concentration and silicon dioxide mass percent.

The application discloses a preparation method of a double-layer carbon-based photothermal material based on bisphenol A epoxy acrylate, and belongs to the technical field of photothermal distillation.The application aims at solving the problems of weak spectral absorption, poor hydrophilic performance, poor heat insulation effect, unstable forming, low pore forming precision and the like of the existing photocuring photosensitive resin, and the problems that the photocuring photosensitive resin cannot meet the preparation requirements of novel photothermal distillation materials.The preparation method comprises the following steps: one, carbon nanotube modification;two, preparation of a precursor solution;three, 3D printing preparation.The application is used for the preparation of the double-layer carbon-based photothermal material based on bisphenol A epoxy acrylate.

The application belongs to the field of solar light and heat utilization, and particularly relates to a solar spectrum selective absorption metamaterial with a non-uniform gradually changing resonant cavity structure and a preparation method. The material structure comprises a three-layer film with a concave structure, wherein the upper layer is a metal thin layer, the middle layer is a dielectric layer, and the bottom layer is a metal layer. The size of the concave structure cavity and the thickness of the three-layer film gradually decrease from the top to the bottom, thereby increasing the absorption sites of the solar wave band, customizing the matching of electromagnetic response requirements of different wave bands, and realizing the selective absorption of the spectrum. The material is suitable for the scene of efficiently converting solar radiation electromagnetic waves into heat energy through the gradually changing structural design. The material has the characteristics of a wide spectrum absorption range, i.e. high efficient capturing ability of the solar spectrum, and low radiation performance in the infrared wave band. The material also has the advantages of thin thickness, high absorption, low cost, easy control, simple manufacturing process, high temperature resistance and the like, and is a high efficient light and heat conversion material.

The invention provides a spectral absorption analysis method of carbon aerosol, electronic equipment and a storage medium, and relates to the technical field of atmosphere detection. The method comprises the following steps: determining a target tracer agent in a plurality of emissions corresponding to a main emission source type of a carbon aerosol sample set; a carbon aerosol absorption coefficient corresponding to each carbon aerosol sample under a preset wavelength is measured and obtained through a thermo-optical method carbon analyzer, and according to the carbon aerosol absorption coefficient, an absorption wavelength index fluctuation range of black carbon, a preset adjustment step length and an absorption wavelength index constraint condition of brown carbon, a carbon aerosol sample is obtained; performing fitting to determine an initial absorption coefficient of brown carbon corresponding to each carbon aerosol sample under a preset wavelength; and according to the initial absorption coefficient and the concentration of the target tracer agent in each carbon aerosol sample, iteratively determining the target absorption wavelength index corresponding to brown carbon and black carbon in the preset wavelength range, so that the accuracy of carbon aerosol analysis can be improved, and the influence of dust on the carbon aerosol absorption coefficient is eliminated.