934 results about "Light scattering" patented technology

The invention relates to the technical field of coal mine safety monitoring, in particular to an underground coal mine dust concentration monitoring method and system based on multi-modal data fusion, and the method comprises the steps: synchronously collecting dust concentration time sequence data, dust image data, sound wave signal data and environmental parameters through a multi-modal sensor array deployed in an underground coal mine; carrying out preprocessing and feature extraction on the collected data; predicting the decomposed high-frequency and low-frequency component signals by adopting a long short-term memory neural network and a grey Markov model; when the environment humidity is greater than 80%, carrying out light scattering compensation on the predicted value; inputting various predicted values into an improved D-S evidence theory fusion device, and outputting a fusion dust concentration monitoring value; and when the threshold value is exceeded or the temperature and humidity composite condition is reached, an acousto-optic alarm is triggered and a spraying dust-settling device is started. According to the method, the problems of low precision of a single sensor, multi-source data conflict, high-humidity environment measurement deviation and insufficient time sequence and fusion precision in underground coal mine dust concentration monitoring can be solved.

The invention provides an intelligent detection method for surface defects of a protective film based on machine vision, which comprises the following steps of: extracting stress concentration areas and touch signal attenuation characteristics from potential risks of touch response delay, and performing grouping analysis on the stress concentration areas and the touch signal attenuation characteristics, the combined attenuation trend of the optical transmittance and the touch signal attenuation is obtained; the deformation degree of the stress concentration area is recognized, the touch signal attenuation degree of the folding area is determined according to the combined attenuation trend of the optical transmittance and touch signal attenuation, and the durability of the folding screen is obtained through evaluation; and extracting early warning indexes about the screen curvature radius and the light scattering intensity defect from the attenuation trend prediction result, and generating a complete report containing the optical transmittance and the touch signal attenuation defect.

The invention relates to the technical field of lamp model integration, in particular to an integrated design method and system for a three-dimensional simulation model of lamp equipment. The method comprises the following steps: acquiring lamp equipment basic data, classifying the lamp equipment basic data according to components, performing three-dimensional reconstruction of independent components, forming three-dimensional lamp basic composition units, acquiring a physical connection relationship, determining functional positioning of each unit, and segmenting the lamp equipment basic data into three-dimensional decoration units and three-dimensional light source units; determining a physical support structure according to the three-dimensional decoration unit; simulating and optimizing a load bearing design through weight aggravation; generating and optimizing the three-dimensional decoration unit; performing light scattering simulation based on the three-dimensional light source unit, tracking a light scattering track of the light source, optimizing the three-dimensional decoration unit according to the light scattering track, and integrating the three-dimensional light source unit and the final decoration unit. And forming a lamp equipment design integration model. According to the invention, the design efficiency of the lamp equipment is improved, and the digitization and intellectualization process in the field of lamp design is promoted.

The invention relates to a dust concentration inversion method based on multi-modal feature level fusion, belongs to the technical field of dust monitoring, and aims to solve the problem that the traditional light scattering method is easily interfered by temperature, humidity and ambient light, so that the measurement precision is insufficient. According to the technical scheme, light scattering signals and environment parameters are synchronously collected; local features of the scattering signals are extracted through a convolutional neural network; a Transform self-attention mechanism is adopted to capture global features; fusing the optical features and the environment features; and inverting the dust concentration based on the full-connection network. According to the method, environmental interference is effectively inhibited, and the precision, robustness and environmental adaptability of dust concentration measurement are remarkably improved.

The invention relates to the related technical field of dust detection, and provides a mining induced charge and light scattering fusion dust detection device and method.The dust detection device comprises a workbench, a sampling assembly and a detection assembly, and the sampling assembly comprises a sampling air pump, a conical airflow homogenizer and a closed sampling cavity; the detection assembly comprises an annular sliding rail, a light scattering detection module and an electrostatic induction detection module; the dust detection method comprises the following steps: S1, device initialization and zero calibration; s2, sampling preparation of dust-containing airflow; s3, dual-module synchronous signal acquisition; s4, data processing and temperature and humidity compensation; s5, carrying out anti-interference protection assembly; and S6, data fusion and result output. S7, device cleaning and standby; through cooperative work of the double detection modules, dust detection signals in different concentration intervals are accurately captured, wide-range coverage from low concentration to high concentration is achieved, and synchronous monitoring of dust concentration and particle size characteristics is achieved.

The invention provides wafer detection equipment and method, and relates to the technical field of semiconductor manufacturing. The equipment comprises a base platform, a wafer carrying table movably arranged on the base platform, a front surface detection device arranged above the wafer carrying table, and a back surface detection device arranged below the wafer carrying table. The back face detection device comprises a supporting part for supporting the wafer, a containing cavity is formed in the supporting part, and the containing cavity is filled with transparent liquid to infiltrate the outer surface of a blue film on the back face of the wafer. Light scattering caused by frosted texture of the blue film is eliminated through infiltration of the transparent liquid, meanwhile, the wafer is supported through the supporting part to avoid the sagging problem, front and back synchronous detection without overturning of the wafer is achieved, and the technical problems of blue film imaging obstacle and automatic detection failure in the prior art are solved.

This disclosure provides a wafer inspection apparatus and method, relating to the field of semiconductor manufacturing technology. The apparatus includes a base platform, a wafer stage movably disposed on the base platform, a front inspection device disposed above the wafer stage, and a back inspection device disposed below the wafer stage. The back inspection device includes a support portion supporting the wafer, within which a cavity is formed. The cavity is filled with a transparent liquid to wet the outer surface of the blue film on the back side of the wafer. This disclosure eliminates light scattering caused by the frosted texture of the blue film through transparent liquid wetting, and simultaneously prevents sagging by supporting the wafer with the support portion, achieving simultaneous front and back inspection without flipping the wafer. This solves the technical problems of blue film imaging obstacles and automated inspection failures in the prior art.

The invention relates to the technical field of optical materials, and discloses organic silicon micropowder as well as a preparation method and application thereof. The organic silicon micro powder is composed of a plurality of polysiloxane microspheres, the surface relative smoothness of each polysiloxane microsphere is R, 1.02 < = R < = 1.30, R = Rq / Ra, Rq is the root mean square surface roughness of the polysiloxane microspheres, and Ra is the average surface roughness of the polysiloxane microspheres; the relative size uniformity of the organic silicon micro-powder is RSU, RSU = 1-phi / d2 > = 0.992, phi is the variance of the diameter of the organic silicon micro-powder, and d is the average diameter of the organic silicon micro-powder. The organic silicon micropowder has the advantages of higher light utilization rate, higher light transmittance and good light scattering and diffusion uniformity; after the material is applied to a light diffusion material, the light control fineness is high, the light transmittance and diffusivity are good, and the light transmittance and brightness are higher; and the flatness of the coating formed when the coating is used as a raw material for forming the coating is good.

The methods described herein provide improvements in composite infrared absorption imaging. The scanning approach described herein reduces erroneous measurements caused by thermal drift and optical interference that occurs between light scattering from the top surface of the sample and light scattering from the underlying substrate. Embodiments described herein relate to imaging and spectroscopy, and more particularly, to improvements in photo-thermal imaging and spectroscopy systems, and techniques for obtaining spectral information characterizing optical properties and / or materials or chemical compositions of a sample, such as information related to infrared (IR) absorption spectroscopy.

The invention discloses a vector flow velocity measuring device and method based on a bidirectional scanning spectral domain optical coherence tomography technology. Comprising a super light-emitting diode light source, an optical fiber coupler, a polarization controller, an interferometer comprising a sample arm and a reference arm, and a collimating lens, the collimating lens, the grating, the focusing lens group and the linear array camera are sequentially connected through a light path; the linear array camera, the computer and the two-dimensional galvanometer are sequentially connected through a line; according to the method, the fixed bias vector velocity is introduced by utilizing the bidirectional scanning technology, the dynamic light scattering optical coherence tomography method and the Doppler optical coherence tomography method are combined, decoupling of each parameter of the vector flow velocity is efficiently and accurately realized, and a quantitative index is provided for vector flow velocity analysis. The vector flow velocity measuring device based on the bidirectional scanning spectral domain optical coherence tomography technology is simple in system setting and low in cost, the time resolution is improved by about 2.5 times, and the measuring time is shorter.

The invention relates to a respiratory dust concentration online monitoring device and method for a coal mine, and belongs to the technical field of respiratory dust concentration monitoring. The device comprises a virtual impact separation module, a light scattering detection module, a flow control module and a data processing module. The virtual impact separation module is used for separating respirable dust and non-respirable dust; the respirable dust enters the light scattering detection module, the respirable dust is irradiated by a laser beam which is incident in the direction perpendicular to the flowing direction of the respirable dust, a scattered light signal obtained after dust scattering is transmitted to the data processing module, and the concentration of the respirable dust is calculated in real time; the flow control module is used for controlling the rotating speed of the sucking pump in real time. Through multi-technology fusion and intelligent algorithm compensation, the accuracy and environmental adaptability of respiratory dust concentration measurement are improved, the problems that a traditional separation device is prone to blockage and needs frequent maintenance are solved, and long-term continuous separation monitoring of respiratory dust can be achieved.

The invention provides an oil monitoring control method, device and equipment fused with machine learning and a medium. According to the method, a polarized light scattering image of oil is collected through a sensor, and an original data set with time aligned with voiceprint signals is generated; optical features are extracted for the polarized light image, and acoustic features are extracted for the voiceprint signal; optical and acoustic features are associated and fused, and a spatial-temporal feature vector is constructed; based on the fusion feature vector, the double-branch neural network outputs a bubble interference probability and a metal particle existence probability; outputting a real particle count based on the bubble interference probability and the metal particle existence probability; and verifying the real particle count through physical sorting and spectral analysis to obtain a verification result, and optimizing the double-branch neural network according to the verification result. The invention further discloses a corresponding device, equipment and medium. According to the invention, the industrial problem that bubbles are misreported as dangerous particles in oil circulation is solved, and the identification specificity and alarm reliability of wear particles under complex working conditions are improved.

The invention discloses an atmospheric aerosol detection method and system based on a dual-angle light scattering signal, and relates to the technical field of environment monitoring. The method comprises the steps that forward scattering signals and lateral scattering signals generated by particles to be detected in atmospheric aerosol conveyed into a detection area under laser irradiation are obtained, and environmental parameters of the atmospheric aerosol are obtained, specifically, the environmental parameters comprise at least one of the temperature value and the humidity value; and calculating a signal intensity ratio of the forward scattering signal to the lateral scattering signal of the to-be-detected particle, and inputting the signal intensity ratio of the to-be-detected particle, the forward scattering signal, the lateral scattering signal and the environmental parameters into a pre-trained particle size identification model to obtain a particle size value of the to-be-detected particle output by the particle size identification model. According to the scheme, the particle size detection precision of the particles in the atmospheric aerosol can be improved.

The invention provides a method for analyzing femtosecond laser-induced damage behaviors on the surface of a Zn-doped KDP crystal, and belongs to the technical field of engineering optics based on computer data processing. The method comprises the following steps: firstly, respectively analyzing the influence of the Zn doping amount on the band gap and electroacoustic coupling of the KDP crystal through an ultraviolet-visible absorption spectrum and a Brillouin light scattering spectrum; then constructing a one-dimensional model, respectively simulating the electron density, lattice temperature and time evolution of electron temperature on the surface of the Zn-doped KDP crystal under femtosecond laser irradiation through an electron density accumulation rate equation and a double-temperature model, and theoretically analyzing the influence of the Zn doping amount on the damage behavior of the surface of the KDP crystal. And a theoretical model for calculating the femtosecond laser induced damage threshold is established, so that the optimal doping amount of Zn is determined in a lossless manner. A real sample is not contacted, so that the sample utilization rate is improved; the simulation process is more stable and controllable, and the data repeatability is high; and the research period can be shortened, and optimal doping amount screening is accelerated.

The invention discloses an underwater image degradation diffusion self-supervised enhancement model and a building and training method, and relates to the technical field of underwater image enhancement. The invention provides an underwater image degradation diffusion self-supervised enhancement model and a building and training method for the problem of target detection performance reduction caused by underwater image quality degradation, the model built by the method is combined with the differential thought of a Koschmieder illumination scattering degradation model and a diffusion model, the degradation process of a real underwater environment is simulated, and the target detection performance is improved. Self-supervised training data is generated, dependence of a traditional method on manual annotation data is avoided, image features are extracted through a ResNet50 backbone network, global background light and transmission rate are predicted in parallel, a clear image is reversely recovered by using a physical formula, transmission rate consistency loss, background light consistency loss and reconstruction loss are also proposed, an unsupervised optimization target is constructed, and the self-supervised training data is obtained. And the accuracy and stability of model training are ensured.

The invention discloses a vitality-preserving decoction fingerprint spectrum and multi-component quantitative analysis method and application thereof, a DAD and evaporative light-scattering detector (ELSD) combined scheme is adopted, according to different properties of components, variable wavelengths are adopted for determination in different time periods, the detection process is simplified, single sample introduction is realized through series connection of detectors, and the detection accuracy is improved. Meanwhile, a plurality of medicinal components are represented, and a multi-component fingerprint spectrum can be directly generated, so that the quality control is more comprehensive and efficient, the detection efficiency is improved, and time and resources are saved.

The utility model provides an electrode device for detecting Zeta potential of a high-concentration sample by electrophoresis light scattering, which comprises a laser, a high-concentration sample electrode and a photoelectric detector, an incident laser beam emitted by the laser is incident in a manner of being vertical to the outer vertical surface of a micro-flow cell, and an optical fiber head of the photoelectric detector is positioned in a direction forming an angle of 12 degrees with the laser beam; the high-concentration sample electrode adopts a flow-through design, and the minimum optical path of a micro flow cell is 1.5 mm; a sample can be added into the micro-flow cell through the silicone tube. According to the utility model, the Zeta potential test requirement of a high-concentration sample can be met, the minimum sample quantity is 57 microliters, the electrode cost is low, the electrode can be replaced, and the Zeta potential titration test can be carried out by being connected with an automatic titrator.

The invention discloses a dust concentration measuring instrument based on a light scattering method. The dust concentration measuring instrument comprises a laser emitting unit, a scattered light collecting unit, a gas path unit and a control unit. The gas path unit meets the Reynolds number-Stokes number cooperation criterion, the particle distribution uniformity is improved, and the sampling deviation caused by fluid detuning of a traditional gas path is solved. The particle retention rate model calculates the retention rate based on the Stokes sedimentation velocity and the cavity length so as to correct the light intensity signal and reduce the underestimation of the concentration of PM2.5-PM10. Non-linear compensation adopts a hyperbolic tangent function to suppress high-concentration saturation errors and expand the equipment range. The complex refractive index drift is dynamically corrected by a temperature and humidity-refractive index compensation algorithm, and the environmental interference error is remarkably reduced at high humidity. In addition, the scattered light collecting unit restrains noise through light path angular domain constraint, and the air path unit adopts a two-stage compression air inlet to enhance the particle conveying efficiency. The measuring instrument is suitable for the field of industrial environmental protection and health monitoring, and the full-scale measurement precision and robustness are comprehensively improved.

The invention discloses a high-temperature-resistant anti-adhesion superhard transparent fluorine-free green organic silicon coating and a preparation method thereof, and belongs to the technical field of organic silicon coatings. According to the invention, methyltrimethoxysilane, silica sol, hydroxyl silicone oil, isopropanol and water are used as raw materials to prepare a high-temperature-resistant anti-adhesion superhard transparent fluorine-free green organic silicon coating, and a design strategy of manufacturing a nanoscale polysiloxane coating through an organic silicon precursor controllable sol-gel hydrolysis process is adopted. According to the present invention, the coating with the matrix completely composed of the in-situ generated nano SiO2 particles is prepared, the defect minimization and the highly-crosslinked Si-O-Si network structure are achieved, the nano-scale inorganic structure has long-term thermal stability, and the visible light transmittance of the coating can achieve 98% due to the inhibition of the light scattering by the sub-wavelength particle size; and tiny nano particles are uniformly and tightly arranged on the surface of the coating, so that the coating is endowed with ultrahigh hardness. In addition, the coating still maintains the inherent antifouling property of the organic silicon coating.

The invention relates to the technical field of water quality detection, and discloses a method and system for detecting the concentration of suspended solids in a canal water sample, and the method comprises the following steps: obtaining environmental parameters of a canal water body in real time, and synchronously collecting a light scattering intensity signal and an acoustic echo attenuation signal of the canal water body through a near-infrared optical sensor and an acoustic Doppler flow velocity profiler; calculating an initial suspended matter concentration value based on the light scattering intensity signal and the acoustic echo attenuation signal; correcting the initial suspended matter concentration value through a dynamic compensation algorithm according to the environmental parameters of the canal water body, and generating concentration data before calibration; inputting the concentration data before calibration into a pre-trained machine learning model, and outputting a final suspended matter concentration value; wherein the pre-trained machine learning model comprises a random forest regression model and a gradient boosting decision tree model. According to the scheme, the detection accuracy under the complex hydrological condition and the real-time response capability of the model under the disturbance scene can be improved.

The invention provides laser equipment applied to growth regulation and control of aquatic organisms. The laser equipment comprises a shell assembly, an optical assembly and a laser assembly, the shell assembly comprises a hollow cylindrical shell and blind flange plates installed on the two end faces of the shell. The optical assembly is arranged in the shell assembly and is in a hollow cylinder shape defined by a plurality of bottom plates, each bottom plate is provided with a plurality of lens supports, and the lens supports are provided with uniform light scattering lenses. The laser assembly is arranged in the optical assembly and comprises a heat sink and a plurality of laser emitting units, the heat sink comprises a base column arranged at the axis of the laser equipment and a plurality of base plates surrounding the base column, and the laser emitting units are arranged on the surfaces of the base plates. According to the laser equipment, the defects of existing illumination equipment in aquatic organism culture are overcome, and a brand new solution is provided for efficient culture and fine management of aquatic organisms.

The invention relates to the technical field of peep-proof film manufacturing, and discloses a high-light-transmittance peep-proof film based on surface modification and a preparation method of the high-light-transmittance peep-proof film. The preparation method comprises the following steps: sequentially carrying out plasma activation, ALD atomic layer deposition and HEMA carboxyl-based layer polymerization on a PET film to obtain a modified PET film; coating the modified PET film with a dispersion liquid prepared from a polystyrene-polymethylacrylic acid solution and graphene quantum dots to form a peep-proof layer; depositing a TiO2 layer and a SiO2 layer on the modified PET film to form a high refractive index layer; diamond particles, MoS2 nanosheets and resin are mixed and coated on the high-refractive-index layer to form the wear-resistant layer. The PET film is modified through plasma activation, atomic layer deposition and free radical polymerization, the physical adsorption limitation of a traditional coating is broken through, chemical covalent binding with a subsequent functional layer is achieved, meanwhile, a light scattering path is optimized by preparing a TiO2 / SiO2 alternating layer, and the peep-proof effect and the optical stability are improved.

The invention discloses an oil mist concentration detector, which belongs to the technical field of oil mist concentration detection, and comprises a shell, a flue, a light source, a photoelectric detector, a main control circuit board and two end covers, the flue is arranged in the shell; the two end covers are arranged at openings in the two ends of the shell respectively. Each end cover is provided with an air vent, and the air vents of the end covers are opposite to the openings in the two ends of the flue; the light source is arranged on the flue and emits light beams into the flue; the photoelectric detector is arranged on the flue and is used for receiving scattered light and outputting an electric signal; the main control circuit board is arranged on the outer side wall of the flue and located between the outer side wall of the flue and the inner side wall of the shell. The main control circuit board is electrically connected with the light source and the photoelectric detector. The oil mist concentration detection function is achieved through the light scattering method, the oil mist concentration can be detected in real time through the method, and the structure is simple, stable and reliable.

In the present invention, a blood pressure measuring cuff is worn around a rod-shaped site to be measured of a subject in a circumferential direction. A light projecting unit is disposed only along an edge portion on one side or both sides of the cuff in a width direction, and irradiates a periphery of a target region of the site to be measured with light. A light receiving unit is provided in a sheet shape along a specific portion facing the target region on an inner surface of the cuff, and receives light scattered or reflected by the target region to obtain an image including a vein pattern of the target region. An authentication unit compares the vein pattern with a reference vein pattern registered in advance, and performs the vein authentication on the subject.

The invention discloses a pressure roller surface polishing process for biodegradable film processing. The pressure roller surface polishing process comprises the steps of base material pretreatment, gradient polishing, in-situ online quality detection, dynamic parameter adjustment and plasma activation post-treatment. Aiming at the special working condition of the large compression roller for wide biodegradable film production, five steps of base material pretreatment, gradient partition polishing, in-situ online detection, dynamic parameter adjustment and plasma activation are coordinated. A gradient polishing pre-compensation mechanism enables the straightness error of a working-state roller surface to be less than or equal to 3 mu m / m, and a light scattering source on the surface of a membrane material is thoroughly eliminated by combining a composite vibration auxiliary process; in addition, the composite vibration auxiliary polishing is combined with a three-order progressive fine polishing strategy, a super-uniform surface with Sa smaller than or equal to 0.05 mu m is achieved on the 3-meter scale, light scattering caused by micro scratches is eliminated, and the light transmittance of the 3-meter-wide PLA film is further improved.

A touch sensing apparatus is disclosed comprising a panel that defines a touch surface, a plurality of emitters and detectors arranged along a perimeter of the light transmissive panel, and a light directing arrangement arranged adjacent the perimeter. The emitters are arranged to emit a respective beam of emitted light and the light directing arrangement is arranged to direct the light along a light path from the emitters to the touch surface. A diffusive light scattering element is arranged in the light path.

The agricultural planting greenhouse with the adjustable illumination intensity comprises a greenhouse body and a ceiling located on the upper portion of the greenhouse body, the ceiling comprises a rectangular outer frame connected with the top of the greenhouse body, and a light-transmitting plate is arranged in the rectangular outer frame; the device further comprises an adjusting mechanism located below the light-transmitting plate, the intensity of illumination penetrating through the light-transmitting plate is adjusted through the adjusting mechanism, the adjusting mechanism comprises a light scattering assembly, the light scattering assembly comprises a light-transmitting shell, a deformation air bag made of a light-transmitting film is embedded in the middle of the interior of the light-transmitting shell, and the deformation air bag is arranged in the middle of the interior of the light-transmitting shell. The light-transmitting shell is arranged in the deformation air bag, the deformation air bag is filled with light-transmitting liquid, the light-transmitting shell and the deformation air bag integrally form a concave lens structure, the light-transmitting shell and the deformation air bag can play a role in diverging light so that the light can be evenly dispersed into the greenhouse, plants in the greenhouse can be comprehensively irradiated, and therefore the situation that illumination dead angles occur, and normal growth of the plants is affected is avoided.

The invention relates to a spectral analysis-based breeding air quality detection system, which comprises: a sensor module for detecting the concentration of ammonia gas, carbon dioxide and dust in a breeding environment in real time, the sensor module comprising: an ammonia gas sensor for quantitatively detecting the absorption characteristic of ammonia gas to light with a specific wavelength; the carbon dioxide sensor is used for measuring the concentration by adopting non-dispersive infrared light and utilizing the characteristic that carbon dioxide absorbs infrared light; the dust sensor is used for calculating the dust concentration by measuring the light scattering condition of particulate matters in the air; the data processing module is used for receiving detection data from the sensor module; according to the breeding air quality detection system based on spectral analysis and the detection method thereof, various pollutants can be accurately monitored on the basis of a modern spectral analysis technology, and real-time monitoring and dynamic adjustment of a breeding environment are realized through an intelligent data processing and automatic control mechanism, so that the health of bred animals is guaranteed, and the breeding production efficiency is improved.