94 results about "Spectral emission" patented technology

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.

Some aspects of the present disclosure provide methods and devices that enable a framework for selection or configuration, or both, of a waveform for use in integrated sensing and communications (ISAC). Use of the framework provides a new waveform, based in part on various criteria, which provides a trade-off among different ISAC requirements. Therefore, when different criteria are important for a particular implementation, a waveform that best meets the requirement of those criteria may be used. The various criteria may include factors such as hardware constraints at the UE, radio frequency (RF) chirp generation or detections capability at the UE, spectral emission or leakage such as OOBE, sensing performance, and sensing complexity. In some embodiments, a cyclic prefix (CP) is provided to use the chirp-based sensing waveforms as a demodulated reference signal (DMRS). In some embodiments, the CP enables alignment with a communication signal frame.

The invention discloses a boron-nitrogen compound, a preparation method thereof and an organic electroluminescent device prepared from the boron-nitrogen compound. The structural formula of the boron-nitrogen compound is # imgabs0, R1 to R8 are independently one of H, alkyl of C1 to C16, naphthenic base of C3 to C20, aryl of C6 to C30, aryl of C6 to C18 substituted by single or multiple Ra, heteroaryl of 5 to 18 membered and heteroaryl of 5 to 18 membered substituted by single or multiple Ra, and Ra is one of deuterium, fluorine, alkyl of C1 to C12, alkoxy of C1 to C12, naphthenic base of C3 to C12 and aryl of C6 to C14. The electroluminescent device made of the boron-nitrogen compound as a luminescent layer material can realize narrow spectrum emission, the electroluminescent external quantum efficiency of the device exceeds 10%, the service life of the device exceeds 300 h, the luminous efficiency and the stability are greatly improved, and the boron-nitrogen compound is suitable for an OLED (Organic Light Emitting Diode) display.

The invention relates to the technical field of image processing, and discloses a tea maturity detection method and system, and the method comprises the steps: obtaining an original image of tea in a natural illumination imaging environment; generating a global illumination difference chart representing an ambient illumination state, and performing illumination compensation on the to-be-detected area of the tea in the original image to obtain a compensated image of the tea; performing gray scale range adjustment on the compensated image of the tea leaves to obtain an enhanced spectral image of the tea leaves; integrating the color and spectral characteristics of the specific spectral reflection characteristics of the tea leaves with different maturity degrees in the enhanced spectral image and the three-dimensional morphological characteristics reflecting the spreading degree and thickness of the tea leaves into the fusion image characteristics of the tea leaves; mapping the color spectrum emission characteristics and texture characteristics of the tea leaves in the enhanced spectrum image to a maturity discrimination knowledge base of the tea leaves to obtain a preliminary maturity result; performing confidence coefficient weighting on the preliminary maturity result to obtain a target maturity; according to the invention, the tea maturity detection efficiency can be improved.

A method for estimating process characteristics is provided. The method can include collecting process data from a spectral emitter and a spectral sensor during a substrate processing operation, and generating a calibrated model for the process data. Generating a calibrated model can include selecting a calibration option from a set of calibration options, based on a degree of freedom associated with a given calibration option, and calibrating a base model to generate the calibrated model. The base model is calibrated using the selected calibration option and a portion of the first process data.

The invention belongs to the technical field of quantitative remote sensing, and relates to a mid-infrared hyperspectral emission and reflection characteristic integrated inversion method, which comprises the following steps: acquiring mid-infrared hyperspectral satellite remote sensing data, and optimizing sensing entrance pupil radiance data to obtain optimized entrance pupil radiance data; the intermediate infrared hyperspectral satellite remote sensing data comprises sensing entrance pupil radiance data; performing atmospheric correction on the optimized entrance pupil radiance data by using a radiation transfer model to obtain surface brightness temperature and atmospheric downward radiation, and calculating solar irradiance reaching the surface; constructing a mid-infrared hyperspectral earth surface bi-directional reflectivity inversion framework, and performing earth surface bi-directional reflectivity inversion based on the mid-infrared hyperspectral earth surface bi-directional reflectivity inversion framework to obtain earth surface bi-directional reflectivity and earth surface equivalent radiance; constructing a scene self-adaptive framework, and performing inversion based on the scene self-adaptive framework to obtain the surface temperature and the surface emissivity; therefore, accurate separation of surface emission radiation and surface reflection radiation is completed.

The invention discloses a multi-spectral radiation temperature measurement method and system for improving a quantum particle swarm, relates to the field of radiation temperature measurement and photoelectric signal processing, and solves the problems that when an existing standard PSO algorithm is applied to high-dimensional and nonlinear multi-spectral inversion, local extreme values are likely to be trapped, and the self-adaptive capacity is poor. Setting parameters, generating an initial particle position by using Tent chaotic mapping, calculating the particle fitness of an initialized population, updating initial individual optimum and global optimum, and calculating an average optimal particle position; updating the optimal particle position through a Levy flight mechanism; and repeating the steps, calculating the multispectral radiation temperature measurement target function value of the updated position, updating the initial individual optimum and the global optimum, and if an error threshold value or the maximum number of iterations is met, outputting the global optimum solution. The method is also suitable for the application field of inverting the real temperature and the spectral emissivity of the target from the multi-channel spectral radiation signals and the like.

The invention provides a multi-size sample emissivity measuring system and measuring method based on a co-heating mechanism, the system comprises the co-heating mechanism, a heating chamber is arranged in the co-heating mechanism, a blackbody cavity and a sample cavity are arranged in the heating chamber in parallel, and the internal temperature of the blackbody cavity and the sample cavity is controlled through the same electric heating assembly; the replaceable positioning assembly is arranged in the sample cavity and is used for adapting to the to-be-tested samples with different sizes; a light path of the spectrograph is switchably aligned with an outlet of the blackbody cavity or the sample cavity; and the positioning adjusting mechanism is used for adjusting the relative position of the co-heating mechanism and the spectrograph, so that the optical axes of the blackbody cavity and the sample cavity coincide with the optical axis of the spectrograph. According to the measuring system, the blackbody cavity and the sample cavity can be heated simultaneously through the co-heating system, temperature consistency is guaranteed, the replaceable positioning assembly is adopted to adapt to samples of different sizes, and high-precision spectral emissivity measurement of the samples of multiple sizes is achieved.

A method of analyzing an interference peak of a sample spectrum generated using a detector of an optical spectrometer is provided. The interference peak is produced by a plurality of spectral emissions of different wavelengths. The method includes generating, based on a model of expected curve parameters of the optical spectrometer and a location of the sample peak on the detector of the optical spectrometer, interference curve parameters representing a shape of each spectral emission in the interference peak. The method further includes fitting a plurality of curves to the interference peak, each curve corresponding to one of the plurality of spectral emissions of different wavelengths that form the interference peak, wherein each curve is fitted using the interference curve parameters provided by the model of expected peak parameters. The plurality of curves are output for further analysis.

Offset illumination using multiple emitters in a fluorescence imaging system is described. The system includes an emitter to emit pulses of electromagnetic radiation and an image sensor including an array of pixels to sense reflected electromagnetic radiation. The emitter includes a first emitter and a second emitter to emit electromagnetic radiation of different wavelengths. The system causes at least a portion of the pulses of electromagnetic radiation emitted by the emitter to include one or more of a hyperspectral emission, a fluorescence emission, or a laser mapping mode.

This solution relates to the coatings field and proposes an aqueous nano-dispersion of far-infrared negative oxygen ion material. By weight, it comprises: 300-350 parts water; 35-45 parts wetting agent; 40-60 parts dispersant; 25-35 parts defoamer; 35-45 parts multifunctional additive; 5-7 parts thickener; 400-600 parts activated far-infrared negative oxygen ion material; 1-3 parts accelerator; and 3-5 parts shielding agent. This solution designs a multi-component synergistically promoting activated far-infrared negative oxygen ion material, which can improve the hemispherical spectral emissivity in the 4-14μm band, even reaching above 0.95 in the key 8-12μm band, effectively promoting formaldehyde decomposition with a long-lasting effect, while also improving antibacterial properties.

The invention discloses a gas analyzer based on infrared spectrum and an indication error calibration method. The method comprises the following steps: respectively mounting a spectrum transmitting end and a spectrum receiving end on two sides of a calibration tube; standard gas with the same concentration and different injection operation parameters is injected into each calibration pipe, infrared light is emitted into the calibration pipes at the same time, the light intensity of the infrared light passing through the gas in the calibration pipes and received by a spectrum receiving end is analyzed, and the measurement and calculation value of the concentration of the standard gas is obtained in combination with the absorption law; constructing a calibration model between the concentration measurement and calculation value and the injection operation parameters; injecting to-be-detected gas into each calibration pipe according to the same injection operation parameters, and correcting the measured concentration of the to-be-detected gas based on the injection operation parameters and the calibration model; based on the influence coefficient of the injection operation parameters on gas concentration measurement, the measurement concentration of the to-be-measured gas with unknown concentration is corrected, and the measurement accuracy of the gas concentration is improved.

This application provides a method and system for detecting smoke in fires, relating to the field of emergency fire protection technology. The smoke detection system includes a dual-spectrum transmitter and a multispectral receiver. The method includes: the dual-spectrum transmitter transmitting a first beam of a first band and a second beam of a second band to the area to be detected according to a preset transmission cycle. The multispectral receiver receives and determines a first spectral response signal corresponding to the first beam and a second spectral response signal corresponding to the second beam. Based on the first spectral response signal and a pre-calculated first reference spectral response signal, the multispectral receiver determines a first attenuation rate corresponding to the first beam, and based on the second spectral response signal and a pre-calculated second reference spectral response signal, determines a second attenuation rate corresponding to the second beam. The multispectral receiver outputs a smoke alarm signal based on each attenuation rate and an attenuation rate threshold. Using this application can avoid false smoke alarms caused by false alarm sources such as dust and water vapor.

The invention discloses an OLED equipment fault diagnosis system based on artificial intelligence, and relates to the technical field of fault diagnosis, and the system comprises the following steps: capturing OLED pixel-level brightness distribution in real time through a microscopic camera, synchronously collecting driving current, voltage and spectral emission data, and aligning all spatio-temporal data by taking a driving signal rising edge as a reference; a defect area is segmented and positioned by adopting a self-adaptive threshold value, topological features are extracted, and a defect distribution tensor containing spatial attributes is constructed; fusing space-time and electro-optical parameters to construct a fourth-order degradation tensor, and coupling a space attenuation weight and a time sensitive function through a space-time convolution operator; microdefect evolution is analyzed by using a 3D-CNN branch, a macroscopic degradation track is learned by using an LSTM branch, and dual-scale features are interactively fused through a mask matrix; and calculating fault probability distribution, generating a fault positioning thermodynamic diagram and residual life prediction, and outputting a diagnosis report. According to the method, the tensor degradation model based on spatial-temporal feature fusion is constructed, so that the sensitivity of the system to hidden faults is enhanced.

A field portable device for determining the unconfined compressive strength of a soil sample includes a sample holder, a heating device, a scale, a spectrometer, and a microprocessor. The sample holder receives a soil sample. The heating device dries the soil sample for a specified time. The scale measures a weight of the soil sample and a dried weight of the soil sample. The spectrometer performs laser induced breakdown spectroscopy on the soil sample and generates spectral emission intensities of the soil sample. The microprocessor calculates a bulk density and a water content of the soil sample, actuates the spectrometer to generate the spectral emission intensities. The microprocessor applies the spectral emission intensities, the bulk density and the water content to a trained machine learning regressor combined with an adaptive boosting classifier to predict the unconfined compressive strength of the soil sample.

The application relates to a virtual reality-based intangible cultural heritage immersive experience method, device, equipment and medium. The method comprises the following steps: acquiring multidimensional data of a target intangible cultural heritage scene; performing grid processing on original three-dimensional point cloud data to obtain an initial three-dimensional geometric model; performing spatial registration on a spectral reflection curve and the initial three-dimensional geometric model to obtain a three-dimensional geometric model containing material spectral properties; analyzing a facet spectral emission curve in combination with a scene space-time cultural database to generate a parameterized physical material library; generating a basic light image in combination with the parameterized physical material library and the scene space-time cultural database according to experience space-time information selected by a user; fusing environmental special effect physical description parameters and the basic light image to obtain a synthesized visual picture result; and generating an immersive experience instruction based on the synthesized visual picture result and environmental special effect data. The method can dynamically adapt to material characteristics and space-time changes of different intangible cultural heritage scenes, and improves the restoration degree of the intangible cultural heritage scene and the user immersion.

The invention provides a boron-nitrogen compound and application thereof, the boron-nitrogen compound has a structure as shown in a formula I and a formula II, the boron-nitrogen compound not only realizes fine adjustment of a spectrum, but also further improves luminous efficiency through extension conjugation and introduction of double B atoms. The boron-nitrogen compound has a narrow spectrum and is used as a narrow-spectrum luminescent material for preparing a luminescent layer of an organic electroluminescent device, the prepared organic electroluminescent device realizes narrow-spectrum TADF emission, the electroluminescent spectrum is in a green light-yellow light area, the half-peak width is less than 40nm, and the boron-nitrogen compound has a wide application prospect. And the highest external quantum efficiency of electroluminescence of the device reaches up to 30% or above.

The present application relates to the technical field of image processing, and discloses a tea maturity detection method and system, the method comprising: acquiring an original image of tea under an imaging environment of natural light; generating a global light difference map representing the state of the ambient light, and performing light compensation on a tea region to be detected in the original image to obtain a compensated image of the tea; adjusting the gray scale range of the compensated image of the tea to obtain an enhanced spectral image of the tea; integrating the color and spectral features of the specific spectral reflection characteristics of tea leaves of different maturity in the enhanced spectral image with three-dimensional morphological features reflecting the spread and thickness of tea leaves into a fusion image feature of the tea; mapping the color and spectral emission characteristics and texture features of the tea in the enhanced spectral image to a maturity discrimination knowledge base of the tea to obtain a preliminary maturity result; and performing confidence weighting on the preliminary maturity result to obtain a target maturity; the present application can improve the efficiency of tea maturity detection.

A field portable device for determining the unconfined compressive strength of a soil sample includes a sample holder, a heating device, a scale, a spectrometer, and a microprocessor. The sample holder receives a soil sample. The heating device dries the soil sample for a specified time. The scale measures a weight of the soil sample and a dried weight of the soil sample. The spectrometer performs laser induced breakdown spectroscopy on the soil sample and generates spectral emission intensities of the soil sample. The microprocessor calculates a bulk density and a water content of the soil sample, actuates the spectrometer to generate the spectral emission intensities. The microprocessor applies the spectral emission intensities, the bulk density and the 10 water content to a trained machine learning regressor combined with an adaptive boosting classifier to predict the unconfined compressive strength of the soil sample.

The application discloses a kind of symmetric narrow-band spectral image driven multi-primary color display method and device, it is related to color image display technical field, method includes: based on the spectral reflectivity of target to be photographed calculation three stimulus value;Based on the spectral transmittance of any channel in the narrow-band spectral camera to be used, the spectral emission power of corresponding primary color channel in the multi-primary color display screen to be used and the spectral reflectivity of target to be photographed, the three stimulus value of color output by the multi-primary color display screen to be used is calculated;According to the three stimulus value of target to be photographed and the three stimulus value of color output by the multi-primary color display screen to be used, color difference data is calculated;Based on color difference data, the center wavelength and bandwidth of any channel in the narrow-band spectral camera to be used are adjusted;Image shooting is carried out to target to be photographed by the adjusted narrow-band spectral camera to be used, and the image obtained by shooting is used as the driving image of the multi-primary color display screen to be used, to obtain target color display image.The application improves the accuracy of color reproduction of color target scene.

This technology provides a way to suppress the decrease in accuracy of temperature measurements. [Solution] A wavelength selection method for a system that measures temperature based on a first optical component and a second optical component spectrally separated from synchrotron radiation of an object to be measured 100, comprising the steps of: obtaining a first spectral emissivity showing the relationship between wavelength and emissivity at a first temperature, and a second spectral emissivity showing the relationship between wavelength and emissivity at a second temperature different from the first temperature, for a reference object of the object to be measured 100; obtaining a wavelength band in which the difference between the emissivity of the reference object at the first temperature and the emissivity of the reference object at the second temperature is less than or equal to a predetermined threshold, based on the first and second spectral emissivity; and selecting the first wavelength and the second wavelength from the wavelength band.

The invention relates to an organic compound, and also relates to an organic electroluminescent device adopting the organic compound. The organic compound provided by the invention has a structure as shown in a formula (I). The compound disclosed by the invention has the characteristics of high luminous efficiency, narrow spectrum emission and high stability, and an organic electroluminescent device adopting the compound disclosed by the invention is higher in external quantum efficiency and longer in service life.

The invention relates to a non-missing immersive experience method and device based on virtual reality, equipment and a medium. The method comprises the following steps: acquiring multi-dimensional data of a target non-missing scene; gridding the original three-dimensional point cloud data to obtain an initial three-dimensional geometric model; performing spatial registration on the spectral reflection curve and the initial three-dimensional geometric model to obtain a three-dimensional geometric model containing material spectral attributes; analyzing the patch spectral emission curve in combination with the scene space-time culture database, and generating a parameterized physical material library; generating a basic shadow image according to experience space-time information selected by a user in combination with the parameterized physical material library and the scene space-time culture database; fusing the environment special effect physical description parameters and the basic shadow image to obtain a synthetic visual picture result; and generating an immersive experience instruction based on the synthesized visual picture result and the environmental special effect data. The method can dynamically adapt to the material characteristics and spatial-temporal changes of different non-abandoned scenes, and improves the restoration degree of the non-abandoned scenes and the immersion of a user.

The present application relates to a kind of night sea surface visual reconstruction method and system based on physical information network, method includes: obtaining the hyperspectral thermal radiation data of night sea surface and pre-processing;Preliminary feature extraction is carried out to the data after pre-processing, and preliminary feature map is obtained;Channel attention processing and spatial attention processing are carried out to preliminary feature map respectively, and channel weight and spatial weight are obtained;Based on channel weight and spatial weight, weighted feature is calculated;Characteristic enhancement and multi-scale feature fusion are carried out, and multi-scale fusion feature is obtained;Based on multi-scale fusion feature, temperature branch prediction, spectral emissivity branch prediction and texture branch prediction are carried out;Based on temperature predicted value, saturation is calculated;Based on spectral emissivity predicted value, hue is calculated;Based on texture predicted value, brightness is calculated;Further image transformation is carried out, and it is obtained that class daytime monitoring image.Compared with prior art, the present application has the advantages of high target detection precision.

The invention relates to the field of coatings, and provides a far infrared negative oxygen ion material water-based nano dispersion liquid which comprises the following components in parts by weight: 300-350 parts of water; 35-45 parts of a wetting agent; 40-60 parts of a dispersant; 25 to 35 parts of a defoaming agent; 35-45 parts of a multifunctional auxiliary agent; 5-7 parts of a thickening agent; 400 to 600 parts of an activated far infrared negative oxygen ion material; 1-3 parts of an accelerant; and 3-5 parts of a shielding agent. According to the scheme, the activated far-infrared negative oxygen ion material with multiple components cooperatively promoted is designed, the hemispherical spectral emissivity in the wave band of 4-14 microns can be improved, the emissivity even reaches 0.95 or above in the key wave band of 8-12 microns, formaldehyde decomposition is effectively promoted, the lasting effect is long, and meanwhile the antibacterial effect is improved.

This invention describes speckle removal in pulsed hyperspectral imaging, fluorescence imaging, and laser mapping imaging systems. A system includes a coherent light source for emitting pulses of coherent light, a fiber optic bundle connected to the coherent light source, and a vibrating mechanism attached to the fiber optic bundle. The system includes an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system is configured such that at least a portion of the pulses of coherent light emitted by the coherent light source includes one or more of a hyperspectral emission, a fluorescence emission, or a laser mapping pattern.

The present application relates to a kind of multispectral temperature measurement method based on optimization thought, belong to the field of spectral temperature measurement and non-contact temperature measurement.The present application establishes the relationship between temperature and spectral signal, establishes multivariate temperature difference correlation function, solves correlation function, establishes temperature measurement model, optimizes model solution, realizes temperature inversion.The present application simplifies the modeling process into the optimization problem of multivariate temperature difference correlation function, avoids the relationship assumption of spectral emissivity and other physical quantities, reduces the data sample amount requirement of deep learning method, simplifies the process of multispectral temperature measurement.The present application has improved inversion accuracy compared with secondary measurement method and neural network method;Inversion speed is greatly improved compared with SMM method.

The application discloses a kind of composite structure fluorescent glass and its high-power packaging lighting light source, belong to luminescent material and semiconductor lighting technical field.The fluorescent glass with quartz glass as substrate, by screen printing, low melting point glass powder and three primary color phosphor slurry prepared according to proportion is coated on the rough surface of substrate, uniform fluorescent film is formed after low temperature sintering.The fluorescent glass and multi-color composite chip are assembled to form high-power packaging lighting light source in remote flip-chip mode, realize full spectrum emission.The application proposes refractive index gradient and micro-nano composite light extraction structure, and develops high-thermal-conductivity anti-erosion protective film.The fluorescent glass prepared by the application has the advantages of high color rendering index (Ra≥90), luminous efficiency > 150 lm / W, color temperature close to sunny morning light (about 5285K), good thermal stability, etc., and the preparation process is simple, low in cost, suitable for high-power LED lighting field.

The application discloses alkali metal doped perovskite single crystal material and a preparation method and application thereof. A high-concentration alkali metal halide is introduced into a perovskite aqueous phase precursor, and an alkali metal doped perovskite single crystal is precipitated through a cooling method. The traditional cesium lead bromide perovskite light emitting wavelength band is near 520 nm, and wide spectrum emission cannot be realized. The scheme can prepare a centimeter level perovskite CsPb2Br5 single crystal with wide spectrum emission. Test results show that the alkali metal doped perovskite CsPb2Br5 single crystal fluorescence spectrum covers a visible light and near infrared light wavelength band (500-1000 nm).

The invention provides an in-situ mid-infrared emissivity testing device and a testing method. The in-situ mid-infrared emissivity testing device comprises a sample heating device, an optical device, a calibration device, a sample bearing device, a temperature measuring device and the like. The in-situ testing device and the matched testing method can realize real-time and accurate measurement of infrared band spectral emissivity and temperature in the material under extreme conditions of vacuum, high temperature, non-equilibrium solidification and the like, and are suitable for material research and development and process optimization in the fields of aerospace, high-end manufacturing and the like.