42 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 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 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.

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.

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.