15 results about "Spectral fitting" patented technology

The invention discloses a spectrum simulation control method and system for all-weather illumination and a storage medium, and belongs to the technical field of illumination control, and the method comprises the steps: constructing a reference spectrum model with solar terms, time and weather conditions as indexes, the model being established based on multi-band solar spectrum data of a target area and associated environmental parameters; configuring a composite LED light source covering ultraviolet, visible and infrared bands, calling the reference spectrum model in combination with the current solar term, time and environmental parameters, and resolving to generate a multi-channel driving signal to drive the light source to fit a target spectrum; and closed-loop control is formed through real-time feedback and correction of the spectrum sensor. The system for realizing the method comprises a data acquisition and modeling module, a spectrum fitting and control module, a composite LED light source module and other core units. The system can reproduce a natural spectrum in a high-fidelity manner, has dynamic self-adaption, all-weather coverage and personalized adjustment capabilities, is stable and reliable in operation, and can be widely applied to various illumination scenes.

The invention provides a light spot measurement system and method. The system comprises a measurement module, a light source and a spectrograph. The light source is used for projecting a light spot to the standard mark, and the light spot and the standard mark generate relative displacement in a preset direction at a preset speed; the spectrograph is used for measuring spectral information of reflected light of the standard mark; the measuring module is used for determining the corresponding spectrum goodness of fit and the time duration when the spectrum goodness of fit is larger than a preset value in the relative displacement process according to the spectrum information collected by the spectrograph at different moments, and determining the spot size of the spot according to the time duration, the preset speed and the size of the standard mark in the preset direction. The accuracy of light spot measurement can be improved.

The present disclosure relates to a method for predicting the enthalpy of a phase change material, a near-infrared spectrum of a phase change material sample is subjected to a partial least squares regression analysis with a standard enthalpy to establish a first calibration model; then a spectral fitting residual matrix is selected according to the construction process of the first calibration model, the spectral fitting residual matrix and the enthalpy matrix are combined, and are used as input signals and teacher signals of an extreme learning machine respectively to obtain a second calibration model; through the combined application of the first calibration model and the second calibration model, the linear relationship and the nonlinear relationship between the near-infrared spectrum of the phase change material sample and the enthalpy can be comprehensively considered, the enthalpy prediction capability in a wide range is achieved, and the model prediction accuracy is improved.

The invention discloses a multifunctional spectrum lamp. Comprising a driving module, an LED light source, an aluminum substrate, a lens and an embedded software module, the LED light source is formed by four independent light source modules with different primary colors and is shaped like a Chinese character'tian ', and the LED light source is fixed on the aluminum substrate; the lens is mounted on the LED light source; the embedded software module comprises a spectrum simulation display module and a transmission module; the spectrum simulation display module is used for generating spectrum fitting data based on spectrum and photoelectric parameters input and set by each light source module, and transmitting the spectrum fitting data to the driving module through the transmission module; and the driving module is fixed on the aluminum substrate, is electrically connected with the LED light sources through the aluminum substrate, and controls and adjusts the power supply current proportion of each light source module according to the spectrum fitting data.

A method comprises obtaining, via one or more sensors positioned in a wellbore formed in a subsurface formation, a full spectrum of the subsurface formation at a first depth, wherein the full spectrum is decomposed into peak components and continuum background components. The method comprises identifying one or more elements based on the peak components. The method comprises modifying a generalized set of elemental standards to generate a constrained set of elemental standards based on the one or more elements. The method comprises performing a fitting of the full spectrum to the constrained set of elemental standards to determine an elemental composition at the first depth of the subsurface formation.

The present application relates to camouflage recognition imaging system and camouflage recognition method, specifically relates to a kind of multispectral camouflage recognition imaging system and camouflage recognition method, solve the technical problems that existing camouflage recognition imaging system range of matter is small, application scene is limited, or camouflage recognition method cannot real-time imaging, real-time identification, or spectral database construction efficiency is low.The multispectral camouflage recognition system of the present application includes image acquisition unit, data processing unit and display storage unit, image acquisition unit uses snapshot type spectral imaging chip, can real-time exposure, real-time data processing;Data processing unit can obtain continuous spectral information by means of spectral fitting degree identification technology, according to the characteristic spectrum of different kinds of identification target selects feature database, changes identification target, greatly increases the identifiable spectral range.In the multispectral camouflage recognition method of the present application, spectral correction is included, can remove the interference of environmental light factor, work under different daylight color temperature.

The application discloses a broadband cavity enhanced absorption spectrum system detection optimization method, medium and equipment, the method first calibrates the broadband cavity enhanced absorption spectrum detection system, obtains the effective optical path curve and the absorption cross section of the to-be-detected gas of the system, and then constructs a plurality of spectral fitting band parameters according to the intensity of the absorption peak in the effective optical path curve and the absorption cross section of the to-be-detected gas. Actual observation is carried out, and an atmospheric actual measurement spectrum diagram is obtained. The actual measurement spectrum diagram is first subjected to spectral fitting by using low-range spectral fitting parameters, and the fitting result is judged. If the fitting result is within the measurement range of the spectral fitting parameters, the result is output. If the range of the fitting result exceeds the measurement range, higher-range spectral fitting parameters are replaced, spectral fitting is carried out again, and until the spectral fitting result meets the measurement range, the result is output.

The application discloses a kind of soil organic carbon and spectral coupling generation model method and system, belong to soil remote sensing monitoring technical field.The method includes five core steps of data preprocessing, dry soil spectrum fitting, SOC mapping model construction, morphological parameter generation, spectral reconstruction and bidirectional verification.Brightness-shape-humidity (BSM) theoretical framework separates spectral brightness and shape effect, fuses random forest algorithm and double-stage hybrid optimization model, and constructs the bidirectional reversible mapping system between spectral morphological parameter and SOC content.The application breaks through the limitation of traditional technology one-way inversion, can be based on soil spectrum high-precision inversion SOC content, and can also generate high-fidelity soil spectrum according to target SOC content, has physical explainability and data-driven flexibility, solves the technical problems of cross-regional spectral deviation and lack of explainability, and provides reliable tool for soil carbon cycle remote sensing monitoring.

This invention relates to the field of spectral analysis technology, and particularly to a spectral fitting method and system for a spectrally tunable light source. The system includes a host computer and a slave computer. The slave computer includes a light source unit, a spectral sensing unit, an optical path guiding unit, a standard reference unit, a measurement platform unit, and a radiation dose monitoring unit. The host computer includes a communication control module, a data storage module, a spectral modeling module, and a fitting decision module. In this scheme, by employing staged, physically isolated spectral fitting control, the time-consuming drive search and iterative optimization process is entirely completed on the standard reference unit, with only a very small number of verification irradiations performed on the photosensitive object under test, thereby technically minimizing the light radiation interference on the object under test.

The invention discloses an AI adaptive healthy lighting cooperative control system and method based on multi-modal physiological perception. The system comprises a multi-modal sensor module, an AI decision control module, a multi-channel LED driving module and a full-spectrum LED light source module. The method comprises the following steps: acquiring environment illumination intensity, color temperature, full spectrum distribution and human body existence and movement track data, and inputting the data into a pre-trained deep light color adaptation model; a pupil fluctuation response model, a spectrum fitting compensation algorithm and a crowd visual transient characteristic library are built in the model, environment parameters, human body states, time and crowd types are used as input, and cooperative control parameters of brightness, color temperature and ultrahigh frequency strobe frequency are dynamically decoupled and output. The integrated design of physiological perception, AI decision making, spectrum fitting and dynamic prediction is achieved, the visual comfort is improved, eyesight health is protected, and meanwhile energy consumption is reduced.

The invention relates to the technical field of spectral data processing, in particular to an NBI Doppler frequency shift spectrum fitting method and system for optimizing high-value region stability. According to the technical scheme, the method comprises the following steps: data loading and preprocessing: obtaining wavelength and intensity data of an NBI Doppler frequency shift spectrum, after preprocessing, identifying characteristic peaks in the spectrum, and extracting peak height, peak position and peak width parameters of the characteristic peaks; and background fitting: a final background curve is obtained by combining quadratic polynomial fitting with pure background region screening, and a pure background region is defined according to a residual error of initial background fitting. By introducing a mixed peak shape model, two-step background fitting and a differential parameter constraint and weighted optimization strategy aiming at a high-value peak, the technical bottlenecks of poor model suitability, inaccurate background estimation, high-value region easy oscillation and the like in traditional NBI Doppler frequency shift spectrum fitting are systematically solved; and the overall precision of spectrum fitting, the stability of a high-value region and the processing efficiency are remarkably improved.

The invention relates to the technical field of optical sensing imaging, in particular to a wavelength modulation SPR (Surface Plasmon Resonance) imaging sensing system and method, and the system comprises an image collection unit which comprises an incident light path assembly, a sensing assembly and a reflected light path assembly; the temperature control unit comprises a heating element positioned on one side, deviating from the coupling prism, of the sensing chip; and the data processing unit is used for fitting the sensing surface image acquired by the surface array detector and outputting the refractive index of the liquid to be detected. By adopting the low-cost monochromatic LED array, the system cost is greatly reduced, the stability is improved, and high-precision measurement in a wide dynamic range is realized through a self-adaptive spectrum fitting algorithm of the data processing unit; the temperature control unit is used for accurately controlling the temperature field of the liquid drops and manipulating the internal flowing mode of the liquid drops, so that directional enrichment of target molecules in a preset area is realized, substrate modification or exogenous additives are not needed, and the problem of probe saturation of the traditional coffee ring effect is effectively solved.

One aspect of this disclosure relates to a computer-implemented method for assisting rendering of an image comprising at least one object on a display screen using a computer system. The method may be performed for each pixel individually. One method step involves obtaining at least three monochromatic pre-rendered pixels of the object for at least three intrinsic reflectance levels (R1, R2, R3) of each pixel from a pre-rendering algorithm. Each of the at least three intrinsic reflectance levels (R1, R2, R3) corresponds to a radiance level (L1, L2, L3) generated in the pre-rendering algorithm to constitute at least three respective control points (R1, L1; R2, L2; R3, L3) in a radiance vs. intrinsic reflectance plane, L-Rint. Some rendering algorithms indeed predict radiance levels L for a pixel. The method may further comprise the step of calculating, for a plurality of wavelengths  for a selected spectral colour for the object, a set of spectral fitting weights S derived from a reflectance level R' associated with the selected spectral colour and monochromatic fitting weights W. These monochromatic fitting weights W result from inversely fitting a curve through the at least three control points (R1, L1; R2, L2; R3, L3) in an intrinsic reflectance vs. radiance plane Rint-L. The method further comprises the step of applying the spectral fitting weights S to assist in rendering the image.

The present invention relates to a method and an apparatus for measuring the thickness d of a transparent layer (10), and in particular to a method and an apparatus for measuring the thickness d of glass plates during wet-chemical glass thinning in the manufacturing process.The method for measuring the thickness d of a transparent layer (10) includes: determining an approximate thickness dFFT based on a precisely known dispersion n(1) of the material of the layer (10) by performing Fast Fourier Transformation, FFT, analysis on Fabry-Pérot oscillation, FPO, from the layer (10) in a spectral reflectance measurement (900); and performing a FPO full-spectral fitting procedure (910-0) with the approximated thickness dFFT as starting value d0,0 to determine an initial local best fitting thickness dFPO,0. After the initial local best fitting thickness dFPO,0 has been found, the FPO full-spectral fitting procedure (910-i) may be repeated with specific alternative starting values d0,i to determine a global best fitting thickness dFPO.

A method comprises obtaining, via one or more sensors positioned in a wellbore formed in a subsurface formation, a full spectrum of the subsurface formation at a first depth, wherein the full spectrum is decomposed into peak components and continuum background components. The method comprises identifying one or more elements based on the peak components. The method comprises modifying a generalized set of elemental standards to generate a constrained set of elemental standards based on the one or more elements. The method comprises performing a fitting of the full spectrum to the constrained set of elemental standards to determine an elemental composition at the first depth of the subsurface formation.