30 results about "Spectral composition" patented technology

The invention discloses a multi-objective optimization cooperative control method for goods shelf illumination and related equipment thereof, and belongs to the technical field of illumination control, and the method specifically comprises the steps: projecting a multi-wavelength grid detection pattern adaptive to the spacing of shelf laminates to the surface of a goods shelf, collecting a reflected light signal, and synchronously recording spatial distribution and spectrum composition data; extracting grid node coordinates by processing spatial data, calculating an offset vector relative to a reference position, analyzing spectral data to decompose wavelength components, and calculating a difference value between each wavelength light intensity and a reference value; generating a light beam direction adjustment instruction based on the direction amplitude of the offset vector, and generating a spectrum compensation instruction according to the light intensity difference, so that a basic illumination system adjusts illumination parameters accordingly; according to the invention, multi-parameter collaborative optimization of goods shelf illumination is realized, and the illumination quality in a complex environment is effectively improved.

This invention discloses a rapid near-infrared analysis method for coal quality based on constrained learning and Adaptive Deep Belief Network (ADBN). First, a near-infrared spectrometer is used to acquire diffuse reflectance spectra of coal samples. Each sample is acquired 3-5 times and averaged to reduce random errors, and the true values ​​of corresponding coal quality parameters are determined. Next, the spectral data is preprocessed to eliminate noise, baseline drift, and scattering interference. A constrained learning algorithm is used to select feature bands strongly correlated with coal composition, constructing constrained spectral feature vectors. An Adaptive Deep Belief Network (ADBN) is then constructed. The spectral feature vectors are input into the model, incorporating physical constraints on coal quality parameters, spectral feature correlation constraints, and regularization constraints into the loss function. Finally, the trained model is used to predict the spectral composition of unknown coal samples, obtaining the coal composition content. This method effectively removes redundant bands and noise, solving the redundancy problem of traditional feature selection. ADBN can dynamically adjust the network structure to adapt to the inherent laws of coal quality, improving prediction accuracy and reliability.

The disclosure relates to a monitoring device for determining the presence of bed bugs, the monitoring device comprising: a housing arranged to receive bed bugs entering into the housing; a light source arranged to illuminate a detection region within the housing; a light detector arranged to receive light from the light source being reflected by or transmitted through one or more objects within the detection region, and wherein the light detector is configured to output a detection signal in response to the detected light, the detection signal pertaining to an intensity and / or a spectral composition of the light detected; and circuitry configured to determine if one or more bed bugs are present in the detection region based on the detection signal and predetermined optical characteristics for one or more bed bugs. The disclosure further relates to a method for determining the presence of bed bugs in a monitoring device.

This application discloses a sample detection system and method, applied in the field of spectral analysis technology. The system includes a light projection module, a sample carrier, a signal acquisition module, and a sample detection module. The light projection module emits a laser signal of the target wavelength and focuses it onto the sample to be tested on the sample carrier. The signal acquisition module uses a front-facing light-receiving probe and at least one side-facing light-receiving probe to acquire Raman scattering and Rayleigh scattering signals generated by the sample to be tested. The sample detection module performs spectral composition analysis on the acquired scattered light signals from the sample to obtain the Raman scattering spectrum, and detects the sample based on the Raman scattering spectrum. This application overcomes the drawback of weak signal intensity in related technologies, effectively improving Raman signal intensity, especially for rough samples, enabling efficient and accurate detection.

The invention relates to a system and a method for manipulating and / or reducing the spectral composition of a first acoustic power emitted by an acoustic source. The object of the invention is to eliminate the disadvantages of the prior art and to provide a system by means of which the emitted acoustic power of an acoustic source can be manipulated and / or reduced. This problem is solved by the features listed in the claims.

A previously encoded or reconstructed version of a neighborhood of a predetermined block to be predicted is exploited so as to result into a more efficient predictive coding of the prediction block. In particular, a spectral decomposition of a region composed of this neighborhood and a first version of a predicted filling of the predetermined block results into a first spectrum which is subject to noise reduction and the thus resulting second spectrum may be subject to a spectral composition, thereby resulting in a modified version of this region including a second version of the predicted filling of the predetermined block. Owing to the exploitation of the already processed, i.e. encoded / reconstructed, neighborhood of the predetermined block, the second version of the predicted filling of the predetermined block tends to improve the coding efficiency.

The invention discloses a weak trace extraction instrument based on a multiband light source and color separation photography, and relates to the technical field of trace collection, the weak trace extraction instrument comprises a box body, an extraction port is arranged below the box body, a shooting port is arranged above the box body, and a color separation structure is arranged between the shooting port and the extraction port; a multi-band light source structure is arranged in the box body and is suitable for irradiating the position of the extraction opening; the color separation structure comprises a switching disc and a first rotating motor, a plurality of photographing holes are formed in the switching disc, a color filter is arranged on at least one photographing hole, and the photographing holes are suitable for covering the photographing opening. According to the scheme, dark field shooting is realized by designing and manufacturing a dark field, and meanwhile, a color separation shooting system capable of automatically replacing a filter lens and a multi-band light source system are added. According to the principle of'same-color passing and different-color absorption 'of colored light by a color filter, spectral components of a light source are selected and controlled, so that the effect of weakening or eliminating interference of background patterns on traces is achieved, and detail features which can be distinguished by naked eyes are obtained.

In a method for the spectral analysis of a liquid mixture of substances consisting of known individual substances, a reference spectrum for the mixture is provided. This reference spectrum represents a target state of the mixture in which each individual substance is present at a target concentration. An actual spectrum of the liquid mixture to be analyzed is then generated. Finally, the concentrations of the individual substances in the mixture are determined based on an approximate spectral composition of the actual spectrum, derived from known pure spectra of the known individual substances and at least one compensation spectrum.

The invention relates to the technical field of optics, and discloses a design method of an LED beam shaping system. According to the method, intensity distribution data, spectrum composition data and space angle data of a light beam emitted by an LED light source are collected, and the data are integrated to form a multi-source light beam signal, so that the characteristics of the light beam are comprehensively known. A multi-source light beam signal is processed, a light beam shape change trend is calculated by means of a light beam propagation model, and a light beam shape prediction signal and a light beam uniformity risk signal are output, so that a light beam shaping effect is known in advance and a potential problem is early warned. And in combination with the multi-source light beam signal and the light beam shape prediction signal, generating an optimal shaping parameter signal by using a parameter optimization algorithm, determining a light beam quality constraint condition according to the multi-source light beam signal, and outputting a safe shaping threshold. According to the optimal shaping parameter signal and the safe shaping threshold value, the orientation parameter and the refractive index parameter of the light beam shaping optical element are accurately adjusted, and efficient and accurate shaping of the LED light beam is achieved.

A method for fish ectoparasite monitoring in aquaculture, comprising the steps of: - submerging a camera (52) into a sea pen containing fish, said camera having a field of view; - capturing images of the fish with the camera (52); and - identifying fish ectoparasites on the fish by analyzing the captured images, characterized in that a target area within the field of view of the camera (52) is illuminated from above and below with light having different intensities and / or spectral composition.

The present disclosure relates to a pyranometer for measuring solar irradiance. In particular, the pyranometer comprises a dome (1), a thermopile-based sensor (2) comprising a receiving surface (22), a diffuser (3) configured to diffuse radiation passing through the dome (1) from outside the pyranometer towards the receiving surface (22) of the thermopile-based sensor (2), and at least one optical filter (4) arranged in the optical path of the radiation in front of the receiving surface (22) of the thermopile-based sensor (2) so as to modify the spectral composition of the radiation measured by the thermopile-based sensor (2).

The claimed invention relates to a pyranometer comprising: a dome, a thermopile-based sensor with a receiving surface, a diffuser configured to diffuse radiation from outside the pyranometer, passing through the dome, towards the receiving surface of the thermopile-based sensor, and at least one optical filter disposed in the optical path of the radiation opposite the receiving surface of the thermopile-based sensor to modify the spectral composition of the radiation measured by said sensor. According to the claimed invention, the distance of the optical path between the diffuser and the thermopile-based sensor is adjusted so that the radiation diffused by the diffuser onto the receiving surface of the thermopile-based sensor has a substantially conical shape.

In a method for spectral analysis of a liquid substance mixture consisting of pre-known individual substances, a reference spectrum for the substance mixture is provided, wherein the reference spectrum represents a target state of the substance mixture in which each individual substance is contained in a target concentration. An actual spectrum of the liquid substance mixture to be analysed is created. Finally, concentrations of the individual substances in the substance mixture are determined on the basis of an approximate spectral composition of the actual spectrum from pre-known pure spectra of the pre-known individual substances and at least one compensation spectrum.

This invention discloses an image fusion method for improving the spatial resolution of shortwave infrared remote sensing images, comprising: step 1, inputting remote sensing images; step 2, adjusting the spatial resolution of remote sensing image B; step 3, principal component analysis of image A; step 4, overlaying and recombining images A, C, and D; step 5, setting a virtual moving window; step 6, determining dominant ground feature pixels; step 7, calculating the spectral composition of dominant ground feature pixels; step 8, spectral fitting; step 9, spectral reconstruction; and step 10, generating a high-resolution shortwave infrared image. This image fusion method for improving the spatial resolution of shortwave infrared remote sensing images has the advantages of high fidelity, simplicity, stability, reliability, and high computational efficiency. It utilizes principal component transformation to extract high-resolution spatial information from spectral images and spectral fitting to fully leverage the spectral information of multispectral and shortwave infrared images, thus improving the spatial resolution of shortwave infrared images while maintaining spectral characteristics.

This invention discloses a method and related equipment for evaluating effective porosity and heavy oil saturation. The method calculates multiple porosity components from collected echo measurements, then uses a dynamic logarithmic spectral composition method combined with porosity component inversion to retrieve the T2 spectrum. Finally, MRIL-P or MRT is used to interpret the retrieved T2 spectrum to obtain the effective porosity. Based on the analysis of the MRIL-P or MRT spectral interpretation principle, this method generates the T2 spectrum using a logarithmic spectral composition method. The logarithmic spectral composition method solves the problems of low accuracy and information loss of bound peaks before a certain time, thus accurately obtaining the effective porosity. Comparing the effective porosity calculated by the above method with helium porosity, the error is reduced to within 1.5%, significantly improving the porosity interpretation accuracy. This invention solves the technical problem that existing evaluation methods cannot accurately calculate the effective porosity of areas with "three low" characteristics (low porosity, low energy consumption, and low saturation).

This application relates to the field of beverage production inspection technology, specifically disclosing an online visual inspection device and method for foreign objects inside liquid beverage bottles. This application utilizes multiple coaxial but differently shaped, ring-shaped adjustable light sources, controlled by a controller to sequentially turn on and off individually from the inside out. The system can actively change the spectral composition and illumination area of ​​the transmitted light. When the beverage bottle rotates, the foreign object is swept by the edge light of the different diameter light sources, resulting in characteristic changes in the image sequence. This provides crucial information for distinguishing foreign objects close to the liquid background and determining the approximate depth of the foreign object.

The utility model relates to the technical field of skin detection, in particular to a lighting device of a skin detector. The lighting device of the skin detector specifically comprises a shell, a lens fixedly connected with the shell, a lamp bead located in the shell, a diffusion sheet, a vertical polarized light sheet and a transverse polarized light sheet. The lamp bead is fixedly connected with the bottom of the shell, the diffusion sheet is located above the lamp bead, and the vertical polarized light sheet and the transverse polarized light sheet are located above the diffusion sheet; the vertical polarized light sheet and the transverse polarized light sheet are parallel or perpendicular to each other; the transverse polarized light sheet and the vertical polarized light sheet are parallel to each other and are used for enabling light rays to be more easily captured by a camera in an overlapping barrier peak gap area; the transverse polarized light sheet and the vertical polarized light sheet are perpendicular to each other and are used for enabling light rays to show more obvious differentiation in different colors. The multi-spectral imaging system has the advantages of rich spectral components and capability of meeting the multi-spectral imaging requirement.

The application discloses a photovoltaic power inversion method based on spectral components, which firstly quantifies the light energy conversion efficiency of wavelength-selective photovoltaic units through a spectral weighted fusion model; secondly, realizes accurate inversion of solar irradiance based on a double-signal self-compensation mechanism; then constructs a hierarchical Bayesian generation model to quantize the full-chain uncertainty of irradiance and the photovoltaic power derived therefrom; finally, generates a power inversion sequence and its confidence interval, and provides conditional prediction for missing periods, forming a complete power generation performance evaluation report. The method is particularly suitable for scenes where spectral dynamic changes are obvious, meteorological data is missing or historical records are incomplete, and can effectively improve the power supply reliability and operation stability of the photovoltaic power generation system, providing reliable data support for power scheduling, energy storage configuration and grid interaction of photovoltaic power stations.

Provided is a household appliance (100) comprising a light source assembly (102) for generating light (L1) having a first spectral composition, and a housing (104) containing components of the household appliance. The components housed within the housing include the light source assembly. The housing comprises a luminescent element (106) excitable by the light generated by the light source assembly to emit light (L2) having a second spectral composition that is different from the first spectral composition. At least one optically opaque element (108, 110) is arranged between the light source assembly and the luminescent element, with at least one light-transmitting portion (112, 114) being defined in the optically opaque element to allow light generated by the light source assembly to pass through the optically opaque element to reach the luminescent element. A defined arrangement of the at least one light-transmitting portion determines a shape of the light emanating from the luminescent element and the housing that visually conveys information to a user of the household appliance.

An AI-Gating illumination system provides artificial intelligence-based regulation of photon emission for incoherent light sources. The system integrates real-time sensor feedback with embedded AI inference to dynamically modulate intensity, spectral composition, spatial distribution, and temporal emission of light-emitting diodes, enabling continuous ANSI-compliant fluence control, energy efficiency, and adaptive illumination. The system is an AI-Gating Photonic Emission Control architecture that predicts instantaneous fluence and determines optimal emission parameters. This architecture operates in a continuous feedback loop with optical, thermal, and environmental sensors, ensuring that photon output remains within defined safety and performance thresholds. The closed-loop framework allows each luminaire or LED array to maintain autonomous regulation, adjusting in real time to variations in reflectance, occupancy, ambient lighting, or biological context.

The invention discloses a method and system for forming a limited state space of non-random optical distribution for the face of a user, and the method comprises the steps: enabling the system to be in a wearing state, and enabling the system to be in a fixed wearing geometrical relationship with the eyes of the user; under the combined action of the relative space position between the light source and the face and the eyes of the user, the light emitting direction limitation and the eye safety constraint, the face optical distribution formed by the system is inevitably limited in a limited optical distribution state space. According to the invention, by selecting, adjusting or maintaining the spatial directivity, the intensity distribution, the time characteristic or the spectral composition of the optical radiation in the optical distribution state space, the optical radiation acts on at least two spatially distinguishable face areas of the face in a non-random manner; a stable, repeatable and non-random relative optical relationship is formed between the regions. Cooperative regulation and control of multiple face areas are achieved, and the problems that in the prior art, optical distribution has no clear constraint, potential safety hazards are likely to be caused, and adaptability is poor are solved.

The present application relates to the field of textile process monitoring, and more particularly to a knitted wool fabric production system based on artificial intelligence monitoring, comprising a supervision evaluation module for determining whether to perform effectiveness analysis on the production supervision image according to the monitoring quality parameters, and determining the production supervision state according to the reference reflection proportion index and the reference deformation proportion index; an execution analysis module for determining whether to perform focus distribution analysis or focus formation analysis on the production supervision image according to the production supervision state; a distribution analysis module for determining whether to adjust the supervision process parameters according to the reference edge index or to adjust the light spectrum composition according to the focus area color difference index according to the focus distribution evaluation coefficient; and a formation analysis module for determining whether to perform equipment early warning on the image acquisition process according to the stage distribution extension index of each focus distribution area. The present application improves the effectiveness of knitted fabric image for production optimization decision making.

The application discloses a multi-target optimization cooperative control method for shelf lighting and a related device thereof, and belongs to the technical field of lighting control, and specifically comprises the following steps: a multi-wavelength grid detection pattern adaptive to the spacing between shelf layers is projected onto the surface of a shelf, the reflected light signals are collected, and the spatial distribution and spectral composition data are synchronously recorded; the grid node coordinates are extracted by processing the spatial data, the offset vector of the relative reference position is calculated, the wavelength components are analyzed by decomposing the spectral data, and the difference between the light intensity of each wavelength and the reference value is calculated; the light beam direction adjustment instruction is generated based on the direction and amplitude of the offset vector, the spectral compensation instruction is generated according to the light intensity difference, and the basic lighting system adjusts the lighting parameters accordingly; and the application realizes the multi-parameter cooperative optimization of the shelf lighting, and effectively improves the illumination quality in a complex environment.

A method (200) for operating a photodiode includes the steps of: applying a voltage consisting of the sum of a constant first voltage (300) and a second voltage (301) having a fixed frequency to the photodiode, and detecting the output signal of the photodiode. Subsequently, the spectral composition of the output signal is determined, and at least one coefficient of a nonlinear term of the photodiode's gain (302) is determined based on the spectral composition. Then, a matched first voltage is applied to the photodiode, wherein the first voltage (300) is matched based on the coefficient. A first coordinate axis (101) shows the voltage applied to the photodiode, and a second coordinate axis (102) shows the gain of the photodiode. A first characteristic curve (103) shows the gain at a first temperature. The gain (302) has a term containing twice the fixed frequency ω0. The output signal (302) can also have higher-order frequency components. The determined coefficients allow the gain at the current temperature to be inferred. The first voltage is matched in such a way that the gain remains constant. By adjusting the gain in this way to keep it constant, the photodiode can provide particularly reliable and comparable measurement data. Such an adjusted photodiode can be part of a car's lidar system.

The invention relates to a system and a method for manipulating and / or reducing the spectral composition of a first acoustic power emitted by an acoustic source. The aim of the invention is to eliminate the disadvantages of the prior art and to provide a system by means of which an acoustic power emitted by an acoustic source can be manipulated and / or reduced. This is achieved by means of the features specified in the claims.

A white-light source for fiber-based intraocular illumination is light of controllable, spectrally broad composition and to an intraocular illumination device with corresponding controllability. Specifically, the white-light source for fiber-based intraocular illumination with light of controllable spectral composition includes at least two light sources for the provision of light beams of different colors, preferably with components substantially in the blue, the green and the red spectral range; wherein the individual light beams are combined to form a common light beam (W); wherein the white-light source is configured for individual control of the proportions of the individual light beams in the common light beam (W); wherein at least one of the light sources is a laser-activated remote phosphor light source, LARP light source, having a phosphor as conversion element and a laser diode for exciting the conversion element by means of an excitation radiation (S) emitted by the laser diode.

A previously encoded or reconstructed version of a neighborhood of a predetermined block to be predicted is exploited so as to result into a more efficient predictive coding of the prediction block. In particular, a spectral decomposition of a region composed of this neighborhood and a first version of a predicted filling of the predetermined block results into a first spectrum which is subject to noise reduction and the thus resulting second spectrum may be subject to a spectral composition, thereby resulting in a modified version of this region including a second version of the predicted filling of the predetermined block. Owing to the exploitation of the already processed, i.e. encoded / reconstructed, neighborhood of the predetermined block, the second version of the predicted filling of the predetermined block tends to improve the coding efficiency.

The invention relates to an arrangement for illuminating at least one area 10, particularly for cultivating plants in a building 7, comprising a light guidance system 2 for receiving external light and at least one light guiding element 8 for transporting the received light to the area 10, as well as a light outlet 9 for coupling the transported light into the area 10, wherein the arrangement in an area 10 has at least one sensor 11 for detecting the light intensity and / or spectral composition, and wherein at least one adaptive filter 21, 22, 23 is provided in the light guidance system 2, which regulates the transmission of the received light into the light guiding element 8 depending on the sensor values. This lighting arrangement enables very effective and efficient illumination of plants in an area 10 in a building 7.

The invention discloses an infrared spectrum processing method and a program product, and the method comprises the steps: obtaining target infrared spectrum data, carrying out the extraction of main characteristic peaks, obtaining a plurality of target main characteristic peaks, and determining the target peak position and the target peak intensity of each target main characteristic peak; respectively determining a target reference spectrum matched with each target main characteristic peak from a reference spectrum database to obtain a reference peak position and reference peak intensity corresponding to the target reference spectrum; for each characteristic peak pair consisting of the target main characteristic peak and the target reference spectrum matched with the target main characteristic peak, determining a position deviation between a target peak position and a reference peak position corresponding to the characteristic peak pair, and an intensity deviation between the target peak intensity and the reference peak intensity; and determining a comprehensive deviation index according to the position deviation and the intensity deviation of the plurality of characteristic peak pairs, and determining a detection result of the substance detection task in combination with a task detection threshold value corresponding to the substance detection task so as to accurately detect the substance.

This invention relates to the field of spectral composition measurement technology and discloses a remote sensing quantization method for the frequency domain characteristics of atmospheric scattered radiation. The method includes: inputting a modulated optical signal into a frequency domain demodulation channel and a coaxial reference channel; calculating transient fluctuations by sampling the DC component through the reference channel and dynamically calibrating the sampling window boundary; demodulating the optical signal within the sampling window based on a zero-point reference and extracting the center frequency offset and coherence bandwidth broadening; rigidly compressing the sampling window time when the input light intensity jump rate exceeds a sudden change threshold; and reconstructing discrete quantization indices using dimensionless operators. This invention breaks through the limitations of intensity spatial correction and utilizes the frequency domain phase evolution characteristics of scattered photons to achieve physical decoupling of heterogeneous spectral components, improving resolution and stability under complex operating conditions.