67 results about "Spectral composition" patented technology

The invention relates to the technical field of agricultural automation and intellectualization, in particular to a rubber forest self-adaptive light supplementing system based on environmental perception. The system is composed of an environment sensing module, a data processing and control module, a light supplementing execution module and a communication module. According to the rubber forest self-adaptive light supplementing system and method based on environment perception, through deep coupling of multi-source environment perception and intelligent decision, the static regulation and control bottleneck of a traditional light supplementing system is broken through, dynamic collaborative optimization of light supplementing intensity, spectrum composition and space-time distribution is achieved, and the photosynthetic efficiency and latex yield of rubber trees are remarkably improved.

The invention discloses a near infrared spectrum abnormal sample identification method based on a high-dimensional subspace, and belongs to the technical field of near infrared spectrum analys.The technical scheme includes the steps that original spectrum data containing normal samples and abnormal samples are collected, and spectrums of a group of samples form a spectrum matrix A; preprocessing the original spectral data to obtain a preprocessed spectral matrix D; selecting a sparse subspace according to the processed spectrum matrix D; and calculating an abnormal sample according to the obtained subspace. The method has the advantages that the anomaly detection accuracy is effectively improved through the anomaly detection method based on the subspace, the related subspace is selected according to the local distribution non-uniformity, the one-dimensional variance, the local sparsity and other standards in the high-dimensional near infrared spectrum data, and the influence of the dimensionality on anomaly recognition is reduced. The abnormal value is determined in combination with the adaptive neighborhood and the threshold value, and the influence of neighborhood parameter selection on abnormal value identification is reduced.

The invention belongs to the technical field of monitoring of a hot spring algae culture process, and discloses an intelligent monitoring and analyzing method for growth data of hot spring algae culture. According to the invention, by identifying the abnormal growth state and dynamically adjusting the spectrum composition and intensity of the multiband illumination sensor array when the abnormal growth state is identified, spectrum-growth state closed-loop control is realized, the accuracy and effectiveness of illumination control are improved, proper illumination is provided for the hot spring algae in time, and the quality of the hot spring algae is improved. The photosynthesis and normal growth are guaranteed, the culture efficiency and quality are effectively improved, and the loss caused by abnormal growth is reduced. According to the method, the growth cycle is identified based on the relative growth rate and the cell division rate, so that the growth change can be more sensitively captured, the exact growth stage of the hot spring algae can be accurately grasped, a key support is provided for subsequent accurate regulation and control of culture conditions, and the scientificity and effectiveness of culture are greatly improved.

The invention discloses an injection molding method and an injection molding device for a vehicle-mounted electronic structural member, and the method comprises the following steps: applying an excitation light source to obtain a polarization emission spectrum of engineering plastic, and forming a quantum optical fingerprint spectrum; carrying out polarization analysis on the spectral characteristic peak, and calculating a dichroic ratio to obtain molecular orientation three-dimensional distribution data; applying a laser pulse to acquire a coherent Raman scattering signal and a harmonic generation signal to obtain nonlinear optical response data; analyzing a molecular chain rearrangement characteristic and a stress relaxation characteristic based on the data to obtain kinetic parameters; and analyzing a molecular orientation evolution rule according to the kinetic parameters to obtain structure evolution prediction data. According to the technical scheme, the molecular orientation state of the engineering plastic can be monitored in real time in the injection molding process, and accurate characterization and prediction of the dynamic arrangement behavior of molecular chain segments are achieved through a method combining quantum spectrum analysis and nonlinear optical response characterization. And a scientific basis is provided for optimizing injection molding process parameters and controlling residual stress distribution in a product.

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.

The invention discloses an intelligent gathering and scattering ball training device. Relates to the technical field of visual training instruments. The multiple connecting rods are arranged at intervals in the horizontal direction, the multiple connecting rods and the lower jaw support are located on the same horizontal line, and the multiple connecting rods are sequentially provided with red balls, yellow balls and blue balls in the horizontal direction; and the movement guiding assembly is arranged on the lifting table, and the multiple connecting rods are all arranged on the movement guiding assembly. According to the intelligent converging-diverging ball training device, on the basis of visual physiology and the optical imaging principle, natural light spectral characteristics and a retina imaging mechanism are creatively applied, and the imaging characteristics of human eye retinas to light with different wavelengths are simulated by accurately regulating and controlling spectral composition and spatial distribution of red, yellow and blue LED balls; and the training accuracy, stability and comfort are 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.

A sensor device for measuring levels of one or more stereoisomers in body fluids, for example lactate in sweat. The device includes a body fluid collection means and an optical measurement system. The measurement of the isomer levels is based on measuring an optical property of an incident light which is known to be modified in a reliable and reproducible way by intrinsic optical activity of at least one isomer within the sample. By measuring the optical property, an indication of concentration of at least one stereoisomer can be derived. For example, D- and L-lactate are enantiomers and the optical activity of each has the effect of changing a rotation angle of light polarization. It also has the effect of changing a central frequency of a spectral composition of the incident light. In each case a polarization state modification is applied to the light before or after application to the sample.

A method for external fish parasite monitoring in aquaculture, comprising the steps of:submerging a camera (52) in a sea pen containing fish, the camera having a field of view;capturing images of the fish with the camera (52); andidentifying external fish parasite on the fish by analyzing the captured images, characterized in thata target region within the field of view of the camera (52) is illuminated from above and below with light of different intensities and / or spectral compositions.

According to the multi-path type ore pulp analysis device and technology, a plurality of molds abut against a conveying belt on a workbench to jointly define a plurality of forming cavities, and after ore pulp enters the forming cavities and liquid is separated, a plurality of samples are formed; the plurality of samples are demolded and sequentially pass through the camera and the sample testing mechanism along with the transmission belt; the camera and the central control system identify the concave-convex shape of the upper surface of each sample and whether an empty sample exists, and each sample and the empty sample are respectively endowed with corresponding numbers; according to the concave-convex shape of the upper surface of the sample, the multi-axis movement structure drives the sample measuring probe to translate and / or swing, and the sample measuring probe measures the spectrum composition and content of the upper surface of the sample during movement and feeds back the components and content of the corresponding numbered sample. Multiple ore pulp can be synchronously sampled and prepared at a time, the sample testing mechanism is based on multiple samples of the same image, the multiple ore pulp is tested at a time and stored as a whole, and a standardized database is easy to form; mechanical sampling, sample preparation and transmission are adopted, and image recognition and automatic sample measurement are adopted, so that the sample measurement efficiency and quality are improved.

The endoscope illuminating system comprises a light source module, a beam splitter, a first light guide optical fiber and a second light guide optical fiber, the light source module is provided with a light-emitting light path, the beam splitter corresponds to the light source module and is obliquely arranged relative to the light-emitting light path, and the light source module irradiates light rays of the beam splitter along the light-emitting light path. The light transmitted by the beam splitter is coupled to the first light guide optical fiber, and the light reflected by the beam splitter is coupled to the second light guide optical fiber. By means of the light splitting characteristic of the beam splitter, transmission light coupled to the first light guide optical fiber and reflection light coupled to the second light guide optical fiber have the same spectral component, the first light guide optical fiber or the second light guide optical fiber can adopt a single optical fiber or a single optical fiber bundle, and uniform illumination of multiple illumination points is achieved. The optical fiber bundle composed of a large number of glass or silica optical fibers does not need to be divided into two groups or multiple groups to achieve multi-illumination-point illumination, so that the process can be greatly simplified, and the cost of an optical path device is reduced.

The invention relates to the field of spinning process monitoring, in particular to a knitted wool fabric production system based on artificial intelligence monitoring, which comprises a supervision and evaluation module, a monitoring and evaluation module, a monitoring and evaluation module and a monitoring and evaluation module, determining a production supervision state according to the reference reflection ratio index and the reference deformation ratio index; the execution analysis module is used for determining to carry out focus distribution analysis or focus formation analysis on the production supervision image according to the production supervision state; the distribution analysis module is used for determining whether to adjust a supervision process parameter or not according to a reference edge index according to a focus distribution evaluation coefficient or determining whether to adjust a spectrum composition or not according to a focus region color difference index; and the formation analysis module is used for determining whether to carry out equipment early warning for the image acquisition process according to the stage distribution extension index of each focus distribution area. According to the method, the effectiveness of the knitted fabric image for production optimization decision making is improved.

A method for manufacturing a component carrier. The method includes (a) supplying a semifinished or finished component carrier to an automatic or semi-automatic optical inspection device and (b) performing an automatic or semi-automatic optical inspection by capturing a first image with a first illumination; capturing a second image with a second illumination; comparing a data set indicative of the first image and / or the second image with a reference data set; and identifying potential defects; (c) performing a quality classification of the semifinished or finished component carrier by generating a virtual third image indicative of the component carrier under a virtual different third illumination having a third spectral composition different from both the first spectral composition and from the second spectral composition; processing the three images; classifying the potential defects in true defects and false defects; and (d) taking action based on the quality classification. Further described is a system architecture.

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 present invention discloses a rhythmic intelligent lighting method and device based on nano fluorescent materials, and relates to the field of intelligent lighting technology. Firstly, a preset first spectrum composition parameter is obtained by preliminary matching the time zone information of the ceiling lamp with the rhythmic intelligent lighting reference table. At the same time, the spectrum adjustment parameters of the ceiling lamp's operating area are obtained by monitoring and analyzing the user behavior information and environmental information belonging to the ceiling lamp's operating area. Finally, the required spectrum adjustment parameters of the ceiling lamp are analyzed. The wavelength intensity and color temperature value in the spectrum component are effectively modulated by switching the circuits of the light-emitting lamp beads with different nano fluorescent materials in the lighting device on and off and the current size. The required spectrum adjustment parameters of the ceiling lamp are analyzed, so that the lighting process can be personalized to adapt to user needs, and energy-saving optimization is achieved to reduce energy consumption.

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).

A method for operating a photodiode. In the method, a voltage made up of a sum of a constant first voltage and a second voltage having a fixed frequency is applied to the photodiode and an output signal of the photodiode is detected. A spectral composition of the output signal is subsequently detected and at least one coefficient of a non-linear term of a gain of the photodiode is ascertained on the basis of the spectral composition. An adapted first voltage is then applied to the photodiode, the first voltage being adapted based on the coefficient.

This application provides an ambient lighting control method, device, and computer-readable storage medium. The method includes: converting ambient lighting effect indication data into multiple single-frame static images corresponding to different illumination periods; extracting image feature information from each single-frame static image to map a first illumination effect parameter of the optical fiber that changes over time; using light source spectral information, combined with a light attenuation function and a color synthesis function to obtain a second illumination effect parameter of the optical fiber; matching the second illumination effect parameter with the first illumination effect parameter to obtain a control function that changes over time; and controlling the light source with reference to the control function that changes over time. Through the implementation of this application, controlling the light source's illumination over time can create a full-color ambient lighting effect; adjusting the spectral composition of the light source can simulate a full-spectrum light source effect, creating a functional lighting source; and adaptively generating a light source control function to control illumination through environmental signal perception ensures diverse lighting effects.

Arrangement for lighting at least one area (10) in particular for growing plants in at least one building (7), with a light guidance system (2) for receiving external light, with at least one light guiding element (8) for transporting the captured light to the area (10), with a light outlet (9) for coupling the transported light into the area (10), characterized in that that the arrangement in an area (10) has at least one sensor (11) for detecting the light intensity and / or spectral composition, and that at least one adaptive filter (21, 22, 23) is provided in the light guidance system (2) which, depending on the sensor values, regulates the transmission of the recorded light into the at least one light guidance element (8).

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.

Disclosed herein is a method of generating augmented images of tissue of a patient undergoing open treatment, in particular open surgery, wherein each augmented image associates at least one tissue parameter with a region or pixel of the image of the tissue, said method comprising the following steps: estimating a spectral composition of light illuminating a region of interest of the tissue, obtaining one or more multispectral images of the region of interest, applying a machine learning based regressor or classifier to the one or more multispectral images, or an image derived from said multispectral image, to thereby derive one or more tissue parameters associated with image regions or pixels of the corresponding multispectral image, wherein said regressor or classifier has been trained to predict the one or more tissue parameters from a multispectral image under a given spectral composition of illumination, wherein the regressor or classifier employed is made to match the estimated spectral composition of light illuminating said region of interest of the tissue.

The endoscope illuminating system comprises a light source module, a beam splitter, a first light guide optical fiber and a second light guide optical fiber, the light source module is provided with a light emitting light path, the beam splitter corresponds to the light source module and is obliquely arranged relative to the light emitting light path, and the light source module irradiates light rays of the beam splitter along the light emitting light path. The light transmitted by the beam splitter is coupled to the first light guide optical fiber, and the light reflected by the beam splitter is coupled to the second light guide optical fiber. By means of the light splitting characteristic of the beam splitter, transmission light coupled to the first light guide optical fiber and reflection light coupled to the second light guide optical fiber have the same spectral component, the first light guide optical fiber or the second light guide optical fiber can adopt a single optical fiber or a single optical fiber bundle, and uniform illumination of multiple illumination points is achieved. The optical fiber bundle composed of a large number of glass or silica optical fibers does not need to be divided into two groups or multiple groups to achieve multi-illumination-point illumination, so that the process can be greatly simplified, and the cost of an optical path device is reduced.

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.