190 results about "Spectral absorption" patented technology

The invention provides an automatic intelligent defect analysis method and system based on power transmission and distribution line unmanned aerial vehicle image acquisition. The method comprises the following steps: acquiring infrared thermal imaging time sequence data and multispectral imaging data of the surface of a wire through an unmanned aerial vehicle carrying an infrared thermal imager and a multispectral camera; calculating a temperature gradient direction of a conductor main body area, screening an abnormal hot spot area whose axial included angle with the conductor is smaller than a preset angle, and positioning an oxidation area boundary by using a spectral absorption attenuation curve of an oxidation layer in the multispectral data; performing space matching on the hot spot migration direction and the oxidation boundary to generate a visual map; establishing a dynamic association rule according to an included angle variable quantity of a hot spot path in the map and a spectrum abrupt change point in the oxidation region; according to the critical angle threshold value and the sudden change point number threshold value, the defect grade is judged, and a defect analysis report is generated. According to the technical scheme provided by the invention, the automation degree and accuracy of defect detection are improved.

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 present invention discloses mean and methods for using of a suspended solar cell system in agriphotovoltaic culture of plants, wherein said use comprising steps of providing a “tandem” selective spectral absorbance and transmittance system whose total transmittance is tailored to match said plants' required absorption (light intensity vs wavelength); providing said system with a base-area ATandem; and culturing said plants in an area ASurface below said a base-area ATandem; said ATandem≥f×ASurface; f ranges between 0.51 to 1.00. The present invention discloses agriphotovoltaic “tandem” selective spectral absorbance and transmittance system useful for culture of plants.

The invention relates to the field of trace element detection, in particular to a system for detecting the concentration of trace elements in water. The gas chamber is connected with the atomization device, is internally provided with a light path capable of dynamically adjusting the White cell, and is used for enhancing a spectral absorption signal of the low-concentration trace elements; the light path modulation module is mounted on the side wall of the gas chamber; the temperature control module is used for adjusting the temperature of the optical element and the air chamber; the spectrum detection module is arranged behind the light outlet of the gas chamber and is used for detecting a spectrum signal after the aerosol is absorbed; the ionization and mass spectrum module comprises an ionization source and a mass spectrometer, the ionization source is used for ionizing the aerosol in the gas chamber into ions, and the mass spectrometer is used for separating the ions according to the mass-to-charge ratio and detecting the ions. According to the invention, a spectrum and mass spectrum combined technology is adopted, a water sample to be detected is atomized into aerosol water drops, and high-sensitivity detection of trace elements in water is realized by enhancing a spectrum absorption signal of low-concentration trace elements.

The invention discloses a real-time quantitative calibration spectrum on-line detection device and a use method thereof, a standard substance with a known concentration is accurately injected into a mixer and is mixed with a reaction liquid on line, and then a spectrum detector obtains spectrum absorption data of the mixed liquid; on the basis of the spectral absorption intensity linear superposition relation between the standard substance and the reaction liquid and the metering relation between the target product and the injected target product, online correction is carried out, and finally the concentration value of the target product is obtained. The online standard sample injection and dynamic online calibration technology is introduced, so that the problems of low quantitative precision, manual sampling lagging and the like in chemical reaction monitoring are solved, and the online standard sample injection and dynamic online calibration technology is particularly suitable for the fields of photochemical synthesis, continuous pharmacy and the like with strict process analysis timeliness requirements.

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 provides a bonding layer of a carrier wafer, a preparation method of the bonding layer, a wafer bonding structure and a photon de-bonding method. The bonding layer comprises an inorganic medium layer and an inorganic heat conduction layer which are arranged on the surface of the transparent carrier in a stacked mode in the direction away from the surface of the transparent carrier. According to the invention, the laminated structure of the inorganic dielectric layer and the inorganic heat conduction layer is arranged on the surface of the transparent carrier, so that the wide spectrum absorption capability of the bonding layer is enhanced under the condition that the surface has relatively low roughness; the solar cell has the advantages of being high in photo-thermal conversion efficiency, extremely low in transmittance, high in high temperature resistance and chemical resistance and repeatable.

The invention belongs to the technical field of medicine detection, and discloses a Raman spectrum-based traditional Chinese medicine decoction piece total flavone content detection method, which comprises: obtaining standard spectrum data of a standard flavone compound and characteristic spectrum data of a traditional Chinese medicine decoction piece sample; performing correlation degree evaluation according to the characteristic spectrum data and the standard spectrum data to obtain a flavone characteristic peak recognition matrix of each traditional Chinese medicine decoction piece sample; screening an effective characteristic wave band based on the flavone characteristic peak identification matrix; according to the spectral absorption intensity and the structure information of the effective characteristic wave band of each traditional Chinese medicine decoction piece sample, compiling a flavone quantitative characterization vector of the sample; detecting the content of total flavonoids in the traditional Chinese medicine decoction pieces on the basis of the flavone quantitative characterization vectors; the detection accuracy of the total flavone content of the traditional Chinese medicine decoction pieces is greatly improved.

The invention relates to a system for detecting dissolved gas in transformer oil and a calibration-free detection method, and the system mainly comprises a transformer oil degassing unit, a current controller, a temperature controller, a laser, a gas absorption cell, an optical etalon, a photoelectric detector and a microprocessor, the system outputs the concentration of the dissolved gas in the transformer oil through a calibration-free detection method. According to the calibration-free detection method, after logarithmic transformation processing is carried out on light intensity information obtained by the system, residual analysis is carried out on the light intensity information and the simulated spectrum absorptivity, and a detection result is output after an iterative convergence condition is met. The system for detecting the gas dissolved in the oil and the calibration-free detection technology can improve the detection limit of the gas and the dynamic detection range, and have the advantages of being free of maintenance for a long time, stable, reliable and the like.

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.

The invention relates to the technical field of face recognition, in particular to a safety management system based on face capture, which comprises a multispectral acquisition module, a biological feature extraction module and a space-time modeling module, comprising face image data of a visible light wave band and a near-infrared wave band; the biological feature extraction module performs subcutaneous biological tissue chromatographic analysis based on spectral absorption difference according to the facial image data of the near-infrared band; according to the face image data of the visible light wave band and the near-infrared wave band, surface material reflection characteristic identification is carried out; according to the face image data of the visible light wave band, dynamic micro-expression relevance feature extraction is carried out; the space-time modeling module receives a processing result of the biological feature extraction module and constructs a feature model including a short-term dynamic mode and a long-term evolution trend.

The invention relates to a design and preparation method of selective spectral transmission agricultural photovoltaic glass, and belongs to the field of photovoltaic agricultural cross technologies. The agricultural photovoltaic glass is synergistically designed through multiple layers of functional structures and comprises a selective spectrum transmission layer, a bottom diffuse scattering layer and an edge photovoltaic unit. The selective spectrum transmission layer is formed by compositing a photoluminescence substance layer and a glass layer, incident ultraviolet light (300-400 nm) can be converted into red light (620-680 nm), the number of parts beneficial to crop growth in transmission light is increased, selective transmission of incident solar spectrums is achieved, and full transmission of visible light (400-700 nm) and infrared light (700-1000 nm) is guaranteed while ultraviolet light is isolated. The photovoltaic unit is arranged along the edge of the glass, and utilizes the optical waveguide total reflection principle to efficiently collect ultraviolet converted light for power generation. The problems that traditional photovoltaic glass is low in light transmittance and spectral absorption conflicts with plant requirements are solved, and synergistic interaction of greenhouse light transmittance, crop growth and clean power generation is achieved.

The invention discloses a photovoltaic power generation forecasting method based on spectrum forecasting, and aims at solving the problem that errors are large due to the fact that only temperature and total irradiance are considered in an existing photovoltaic power generation forecasting method. The method comprises the following steps: downloading global forecast data and carrying out lattice point coding conversion; then carrying out dynamic downscaling and calculating future key meteorological variables; calculating the spectral optical thickness of each atmospheric component by using the spectral absorption and scattering coefficients of different gas components in the HITRAN database, and obtaining direct and scattered spectral irradiance according to the spectral optical thickness; carrying out calculation result verification and artificial intelligence correction by utilizing a solar spectrum radiometer; calculating generated power of different wavelengths; and calculating the final generation power through integral calculation in combination with the loss of other parts of the photovoltaic module. And forecasting a radiation spectrum at a future moment according to different forecasted meteorological variables, and converting radiation into power generation power according to the spectrum, thereby realizing refined conversion of optical power.

The invention discloses a target infrared radiation characteristic calculation method based on a neural network, and belongs to the field of aero-engines. Constructing a first BP neural network model; constructing a second BP neural network model; a detection point is set, rays are emitted to a target, and the positions of the rays are judged in real time through the second model: if the output label is 0, the rays continue to be transmitted, and radiation calculation is not triggered; if the output label is 1, calling the first BP neural network model to calculate a spectral absorption coefficient of a current wave band; judging the ray absorption state based on the spectral absorption coefficient; if the ray is not absorbed, repeating the step of judging the position of the ray, otherwise, terminating the current ray calculation; and counting radiation data of absorption positions of all the rays until all the rays are absorbed in all the wave bands, and outputting target infrared radiation characteristics. According to the method, triple contradictions of spectral precision-computational efficiency-path optimization are broken through through a dual-neural network collaborative architecture.

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.

The invention provides a pulsed light therapeutic instrument laser power adjusting method and device, and relates to the technical field of medical instruments, and the method comprises the steps: sequentially starting illumination modes formed by combining different real-time correction light color temperatures and real-time correction light brightness according to a preset sequence, and carrying out the image collection of a skin irradiation window region in each illumination mode, forming a group of light correction images under a multi-illumination condition; performing inversion solution by taking the change of the pixel reflection value of the same area in the plurality of light correction images under different illumination conditions as a variable, and estimating the intrinsic reflection characteristic of the skin under the standard illumination condition; the intrinsic reflection characteristics are mapped to a Fertzpayer color gradation index, and the melanin density of the skin surface layer is estimated in combination with a skin color spectrum absorption model; and determining the laser power of the therapeutic apparatus based on the melanin density and the skin color characteristics of the skin in the state of turning off the illumination mode. The laser power can be adjusted according to different skin colors in combination with ambient light.

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 provides a solar photovoltaic system, and belongs to the technical field of photovoltaics. The system comprises a light condensation module which is used for self-adaptively focusing according to the illumination condition and splitting light; the wide-spectrum absorption photovoltaic module is used for receiving the light transmitted by the condensation module and optimizing spectrum absorption; the intelligent control system is used for generating an optimal strategy through a preset fusion model according to the collected various aspects of data of the solar photovoltaic system, and sending a control instruction according to the optimal strategy; the storage battery module is used for storing electric energy from the wide-spectrum absorption photovoltaic module; and the electric energy output and adaptation module is used for receiving the electric energy of the storage battery module. According to the invention, the absorption range of the solar spectrum is widened; the optimal control strategy can be accurately generated in real time, and the whole solar photovoltaic system can quickly adapt to complex working conditions and always keep an efficient and stable operation state through cooperative regulation and control of all the modules.

The invention relates to the technical field of oil type gas monitoring, in particular to an oil type gas laser monitoring and early warning device and method, and the device comprises a processor control panel, a laser driver, a laser device group, a light path change-over switch, a diffusion type light absorption cell and a tuning fork detector; emergent laser with different gas spectrum absorption wavelengths is generated; switching each path of laser beam to a diffusion type absorption cell; respectively demodulating based on the acquired acquisition signals to obtain second harmonic signal voltages of optical signals of methane, ethane and hydrogen sulfide gas; inputting the second harmonic signal voltage of the optical signal absorbed by the to-be-detected gas into the residual neural network, identifying the methane and ethane gas overlapping spectrum, and outputting the methane and ethane gas concentration in the to-be-detected gas; and generating a multi-parameter early warning signal according to the methane and ethane gas concentrations and the hydrogen sulfide concentration. The light absorption detection can be accurately carried out on methane, ethane and hydrogen sulfide in the oil type gas, and the methane and ethane gas overlapping spectrum can be effectively identified.

A switchable privacy display comprises a spatial light modulator and a compensated switchable guest-host liquid crystal retarder arranged between an output display polariser of the spatial light modulator and an additional polariser. A reflective polariser is arranged between the guest-host liquid crystal retarder and the output display polariser. In privacy mode, on-axis light from the spatial light modulator is directed without loss, whereas off-axis light has reduced luminance. The visibility of the display to off-axis snoopers is reduced by luminance reduction and reflection increase over a wide polar field. The colour of the reflected light may be modified by selection of the spectral absorption of the guest material in correspondence to the spectral transmission of the additional polariser. An aesthetically desirable display appearance may be achieved in privacy mode from non-viewing directions. In wide-angle mode, the switchable liquid crystal retardance is adjusted so off-axis luminance and reflectance is substantially unmodified.

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.

The invention relates to the technical field of spectrum detection of pesticide residues, and discloses a succinate dehydrogenase pesticide residue screening method. The method comprises the following steps: carrying out feature standardization processing on a multi-source spectral data set, unifying feature dimensions of each spectral source, removing feature conflict dimensions, and carrying out duplicate removal to obtain an integrated spectral data set; extracting a pesticide residue characteristic field, a spectral absorption peak field and a pesticide category field, and segmenting data characteristics to generate a characteristic screening data set; mapping the original absorption peak and the target absorption peak to a standard spectral coordinate system to generate a spectral feature distribution map; classifying and aggregating spectral absorption behaviors according to pesticide categories, evaluating absorption activeness of different categories of pesticides in a specific characteristic period of a target spectral region, and generating a classification trend index. The method can solve the problems of difficult integration of multi-source spectral data, inaccurate feature extraction and the like, and improves the consistency and accuracy of screening.

A flexible near-infrared II region photodetector based on two-dimensional material nanoribbons relates to the technical field of optoelectronic devices, and solves the problems of poor flexibility and low responsivity of existing near-infrared II region photodetectors. It includes: a flexible substrate; an inorganic nanoribbon array disposed on the upper surface of the flexible substrate; a metal electrode disposed on the upper surface of the inorganic nanoribbon array; an organic modification layer connecting the inorganic nanoribbon array, and the near-infrared II region spectral absorption rate of the organic modification layer is not lower than that of methylene blue, porphyrin compounds or indocyanine green in the near-infrared II region. The preparation method is: preparing an inorganic nanoribbon array on the flexible substrate; preparing an organic modification layer on the inorganic nanoribbon array. The present invention improves the optoelectronic conversion efficiency of the device through the energy band distribution and coupling between two-dimensional organic and inorganic materials; improves the responsivity of the device in the near-infrared II region; can be attached to the surface of a living body for real-time detection of a moving living body.

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 present invention discloses mean and methods for using of a suspended solar cell system in agriphotovoltaic culture of plants, wherein said use comprising steps of providing a "tandem" selective spectral absorbance and transmittance system whose total transmittance is tailored to match said plants' required absorption (light intensity vs wavelength); providing said system with a base-area X Tandem ; and culturing said plants in an area A Surface below said a base-area A Tandem ," said A Tandem ≥f x A Surface , / ranges between 0.51 to 1.00. The present invention discloses agriphotovoltaic "tandem" selective spectral absorbance and transmittance system useful for culture of plants.

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 invention belongs to the related technical field of detection instruments, and provides a miniature automatic trace gas detector which comprises a camouflage shell and optical detection mechanisms arranged on two sides of an optical detection chamber in the camouflage shell, the optical detection chamber capable of automatically performing gas circulation through the circulation mechanism is arranged in the smaller camouflage shell, so that automatic collection of gas is realized, spectral absorption of the gas is detected through the optical detection mechanism, the content of trace gas in environmental gas is judged, food safety judgment is facilitated, and the detection efficiency is improved. Compared with the existing handheld gas detector, the gas detector provided by the invention can more conveniently realize hidden and automatic gas detection, is convenient to carry, and can realize rapid and effective food trace gas detection in a scene with detection hindrance.

The present invention relates to the field of photoelectrochemical conversion, and in particular to a microbial photoelectrochemical system, its construction method, and its application. The microbial photoelectrochemical system of the present invention comprises an anode chamber and a cathode chamber. The anode chamber is provided with an anode and a natural photosensitizer, and the cathode chamber is provided with a cathode and inoculated with a hybrid formed by combining microorganisms and a non-metallic photosensitizer. The anode chamber photosensitizer and cathode chamber hybrid are deposited on electrodes or discretely distributed in the electrode chamber. The microbial photoelectrochemical system of the present invention can achieve full-spectrum absorption of solar radiation and has excellent ability to generate and utilize photogenerated electrons and holes. It can be applied to fields such as water purification and low-molecular-weight hydrocarbon synthesis.

The invention relates to the technical field of photoelectric detection, and discloses a wide-spectrum photoelectric detector based on a crystalline silicon-organic composite heterojunction, which comprises a crystalline silicon avalanche photodiode (APD) layer and an organic semiconductor active layer. Through an energy band matching design, the organic layer covers the surface of the micro-nano structure of the crystalline silicon APD to form a synergistic photoelectric response interface. The structure utilizes the high gain characteristic of the crystalline silicon APD and the broadband spectrum absorption advantage of the organic material to realize the broadband spectrum detection from visible light to near infrared light. In addition, the light capture efficiency is remarkably enhanced through the micro-nano structure design, and the exciton dissociation efficiency is improved through interface electric field regulation and control. The invention solves the problems of narrow spectral range and low sensitivity of the traditional photoelectric detector, and is suitable for medical health monitoring and high-speed optical communication systems.

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.