1910 results about "Light scattering" patented technology

A system for generating and detecting transient vapor nanobubbles in a fluid from a patient can include a micro-fluidic device to receive a flow of the fluid from the patient, a laser pulse source to provide a laser pulse to the flow of the fluid from a first side of the micro-fluidic device, a probe light source to provide a probe light to the flow from the first side of the micro-fluidic device, and a photodetector located at a second side of the micro-fluidic device opposite the first side. The photodetector can detect scattered, reflected, and / or deflected probe light and output a nanobubble signal including characteristics of optical scattering, reflecting, and / or deflecting by the transient vapor nanobubble.

The invention discloses a health monitoring bracelet detection method and system capable of detecting pulse rate blood oxygen in real time. The method comprises the steps that S1, continuous light absorption signal changes are obtained based on a photoplethysmography optical sensor; s2, a heartbeat pulse signal measurement pulse rate value is obtained according to change analysis; s3, wrist shaking is recognized based on data of the acceleration sensor, and pulse signal distortion caused by shaking is corrected; according to the health monitoring bracelet detection method and system capable of detecting the pulse rate blood oxygen in real time, the problem that when a user exercises, especially violent activities, due to the fact that an existing health monitoring bracelet is affected by wrist shaking in the exercise process, the user can feel uncomfortable in the exercise process is solved, and the health monitoring bracelet can be used for detecting the pulse rate blood oxygen in real time. The problems that light scattering and signal attenuation are caused, data collection and processing are affected, the measurement result of the pulse rate and the oxyhemoglobin saturation is not accurate enough due to external interference, and the reliability of the bracelet and the user experience are reduced are solved.

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.

Provided herein are methods of detecting single molecules that include binding single molecules in a sample solution to a first surface of an optically transparent substrate include the optically transparent substrate is free of a metallic coating. In some embodiments, the methods include irradiating the first surface of the substrate with an incident light having an incident angle selected to achieve total internal reflection of the incident light, thereby scattering light from the first surface and from the single molecules bound to the surface in which a wavelength of the incident light is between 10 nm and 350 μm and the optically transparent substrate has a refractive index at the wavelength of the incident light exceeding that of the sample solution, and collecting an image that captures interference between evanescent light scattered from the single molecules and the first surface. Systems and additional methods are also provided.

The invention provides a gradient crosslinking process of photosensitive resin for photocuring 3D printing, and relates to the technical field of photocuring 3D printing materials. The gradient crosslinking process of the photosensitive resin for photocuring 3D printing comprises the following steps: S1, based on double-initiator system design, adopting molecular dynamics simulation screening, respectively adding a 405nm sensitive type TPO-L initiator and a 365nm sensitive type I TX initiator into an epoxy acrylate prepolymer, and verifying initiation energy barrier matching through quantum chemistry calculation, and generating a pre-initiation gradient resin formula. Through molecular dynamics simulation, initiator combinations are screened, energy barrier matching is verified, the ratio of dual-wavelength sensitive initiators is optimized, and accurate triggering of surface layer and deep layer cross-linking reaction is ensured. And a three-roller grinding and dispersing process is combined with ultrasonic oscillation to eliminate nanoparticle aggregation, so that the mechanical uniformity and light scattering effect of a resin system are improved.

The invention discloses a particle size measuring device based on combination of a dynamic light scattering method and a sedimentation method and a measuring method thereof. The particle size measuring device comprises a laser, a light intensity adjusting unit, a sample pool, a thermostatic bath, a PD detector, an optical fiber head, an APD detector, a data acquisition unit, a PC and a control unit. The laser emits incident laser, the incident laser passes through the light intensity adjusting unit, penetrates through the sample cell and a sample and then enters the PD detector, and a transmission light signal is collected through the data acquisition unit and transmitted to software for calculating the particle size and concentration of settled large particles; scattered light is received by an optical fiber head with a fixed angle of 90 degrees or 160-175 degrees and is converted into a digital signal by an APD detector, and the digital signal enters a data acquisition unit and is transmitted to software for calculating the particle size of particles in a non-settling nanometer range. According to the technical scheme provided by the invention, the particle size distribution information of the wide-distribution particle dispersion system in a nano-micron range can be measured in a testing process.

The invention discloses an anesthesia equipment fault diagnosis method and system based on image recognition, particularly relates to the technical field of medical equipment fault detection, and is used for solving the problem that a non-contact image detection method in existing anesthesia equipment pipeline leakage detection is poor in transparent pipeline weak leakage signal recognition capability. Through combination of multispectral dynamic imaging and polarized light scattering mode analysis, pipeline surface microscopic deformation characteristics are obtained, and a leakage path prediction result is generated. Environmental reflective noise is inhibited based on spectral distribution characteristics of the reference image set, optical response changes of the candidate area are triggered in combination with active pressure disturbance, and the inverse proportion physical relation between the permeation rate and the fluid conduction speed is verified; through dynamic threshold screening and spatial continuity verification, accurate positioning of a target area is realized, finally, spectral features, path forms and real-time pressure parameters are fused to generate leakage risk assessment, non-intrusive high-sensitivity leakage identification is realized, and reliable guarantee is provided for safe operation of clinical anesthesia equipment.

The invention relates to the technical field of glass bottle defect detection, and particularly discloses glass wine bottle body defect optical detection equipment and detection method.The optical detection equipment comprises a conveying belt, and a clamping mechanism, a lifting rotating mechanism, a detection mechanism and a sorting mechanism are sequentially arranged on the conveying belt from the feeding end to the discharging end. The detection end of the detection mechanism is attached to the bottle body of the glass wine bottle for optical detection, the receiving end of the detection mechanism receives the light in the glass wine bottle, the light directly reaches the receiving end in the bottle after passing through a bottle body material, and a signal path is relatively fixed, so that the interference of ambient light or reflection of surrounding objects on an optical signal can be effectively reduced. The bottle body of the glass bottle has a certain thickness, deviation of light scattering and refraction is easy to occur when light passes through the thickness of the glass in traditional external detection, the error can be reduced by matching of an external detection end and an internal receiving end, fine defects such as bubbles, cracks or tiny scratches are helped to be captured, and the detection stability is improved.

The invention relates to a rubber part finished product forming degree detection method, system and equipment and a medium, and belongs to the technical field of rubber part forming degree detection. The molding degree detection method comprises the following steps: receiving surface point cloud data and surface geometric position information of a to-be-detected rubber part; constructing a three-dimensional surface contour model of the rubber part to be detected; mapping the surface pressure distribution data to the three-dimensional surface contour model, and detecting a pressure abnormal distribution area; extracting light scattering characteristic data according to the optical image data; comparing the light scattering characteristic data with the pressure abnormal distribution area to obtain a defect area analysis result; dynamic deformation characteristics of the rubber part to be tested under the dynamic environment simulation test are obtained; marking the three-dimensional surface contour model, and constructing a comprehensive feature model of the rubber part to be detected; and carrying out difference analysis on the comprehensive feature model to obtain a feature difference result of the to-be-detected rubber part, and generating a forming degree scoring report of the to-be-detected rubber part. According to the invention, the molding degree of the rubber part can be accurately detected.

A touch sensing apparatus is disclosed, comprising a light transmissive panel that defines a touch surface, an opposite rear surface, and panel sides extending between the touch surface and rear surface. The panel sides define a perimeter of the light transmissive panel. The touch sensing apparatus comprises a plurality of light emitters and detectors arranged along the perimeter and adjacent the panel sides, a light guide arranged along the perimeter and having a first reflective surface comprising a diffusive light scattering element. The light emitters are arranged to emit a respective beam of light onto the diffusive light scattering element so as to generate propagating light that diffusively propagates above the touch surface, wherein the light detectors are arranged to receive detection light generated as said propagating light impinges on the diffusive light scattering element, and wherein the diffusive light scattering element is arranged at least partly outside the panel sides and extending at least partly above the touch surface.

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 the technical field of glass white board ink, and discloses high-gloss and high-covering ink for a glass white board and a preparation method thereof, the high-gloss and high-covering ink comprises the following raw materials by mass: 30-35 parts of pigment, 2-5 parts of composite diatomite, 8-10 parts of a dispersant, 3-7 parts of resin, 0.2-0.5 part of a wetting agent, 50-60 parts of deionized water, and 5-8 parts of propylene glycol. The nano titanium dioxide has high refractive index and light scattering performance, so that the ink can fully reflect light under illumination, and the nano titanium dioxide and the diatomite have a relatively good synergistic effect in the aspect of improving the glossiness of the ink; the lamellar structure of the graphene oxide can effectively cover the ground color of the glass white board, and a high covering effect is achieved; a hydrophilic chain segment of the amphiphilic block copolymer extends in an ink system, and a hydrophobic chain interacts with the lipophilic pigment, so that the stability and the covering effect of the ink are improved.

According to the mining dust monitoring system and method based on multi-wavelength fusion and dynamic compensation, a light chamber is arranged in an inner cavity of a shell, an inlet of the light chamber is connected with a main gas inlet of the shell through a gas inlet pipeline, and an outlet of the light chamber is connected with a main gas outlet of the shell through a gas exhaust pipeline; the laser detection module is mounted in the light chamber and comprises a lens group, a laser source I, a laser source II, a light scattering signal receiving module, a light transmission signal receiving module and a light trap; the first laser source and the second laser source form a dual-wavelength laser source; the micro fan is mounted in the main air outlet; the environment sensing module is mounted in the exhaust pipeline; the method comprises the following steps: constructing an environment drift prediction model; testing the dust concentration in the environment to be tested, and calculating the dust concentration I Csct and the dust concentration II Ct based on the scattered light electric signal and the transmission photoelectric signal; and carrying out environment drift prediction, and obtaining corrected dust concentration data through a fusion calculation mode. According to the system and the method, an accurate dust concentration monitoring result can be obtained.

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 technical field of shield tunneling machine man cabin monitoring, in particular to a man cabin monitoring system based on an optic neural network, which is characterized in that light scattering prior is constructed based on dust particle size, dust concentration and relative positions of a camera and light by collecting original images in a shield tunneling machine man cabin and data of dust particle size, concentration, temperature and smoke concentration; the transmissivity is inversed in combination with a monocular depth estimation network, and the image is further corrected in a cross-scale manner through a residual pyramid compensation network, so that a dust removal image sequence suitable for a complex light scattering environment is obtained; and then accurate identification of abnormal staying of personnel and tool missing is realized based on a three-dimensional space-time diagram convolutional network and a causal attention mechanism, and a Transform model is utilized to fuse vision, temperature and smoke concentration data to realize rapid and accurate prediction of fire and in-cabin leakage risks.

The invention discloses an emulsification effect detection method and device, and relates to the technical field of emulsification detection.The method comprises the steps that emulsification raw materials, emulsifier information, rotating speed and shearing force control parameters are obtained, and an emulsification stage target is analyzed; an evaluation time sequence chain is constructed, the evaluation time sequence chain comprises a plurality of evaluation nodes, and the evaluation nodes correspond to the emulsification stage targets; activating illumination equipment to illuminate the emulsion surface, and collecting light scattering parameters including scattering intensity and scattering angle; performing emulsification uniformity detection according to the scattering intensity and the scattering angle to obtain a uniformity detection result; and substituting a uniformity detection result into the evaluation time sequence chain, comparing according to an emulsification stage target of a corresponding evaluation node, and determining node emulsification evaluation information. The technical problems that in the prior art, during detection, the final detection effect is mainly considered, the time sequence relation influence in the emulsification process is ignored, and the detection precision is insufficient are solved, full-period staged emulsification detection is achieved, and the technical effect of improving the detection precision is achieved.

The invention relates to a deep ultraviolet light-emitting diode with a light scattering structure and a preparation method of the deep ultraviolet light-emitting diode. The light-emitting diode comprises a substrate layer, a buffer layer and an N-type semiconductor transmission layer which are sequentially arranged along the epitaxial growth direction of a chip, wherein the shape of the N-type semiconductor transmission layer is divided into an upper part and a lower part, and the multi-quantum well active layer, the P-type semiconductor transmission layer and the P-GaN contact layer sequentially cover the surface of the upper part of the N-type semiconductor transmission layer; a horizontal light scattering structure layer and a vertical light scattering structure are respectively distributed in the upper part and the lower part of the N-type semiconductor transmission layer. According to the invention, the scattering effect of light in the N-type semiconductor transmission layer is improved, the optical waveguide effect of the N-type semiconductor transmission layer is broken, the light is effectively prevented from spreading to the metal n electrode, meanwhile, the light can be scattered, the bottom light emitting efficiency of the deep ultraviolet LED is improved, and the light extraction efficiency is improved.

Identifying a test pattern includes positioning a test pattern that includes a first multiplicity of particles that reflect or emit light in the field of view of a first imaging device; illuminating the test pattern with light from a first light source; obtaining, with the first imaging device, a first test image of light reflected by the first multiplicity of particles; and comparing the first test image with a first reference image of a reference pattern obtained by a second imaging device.

The invention relates to the technical field of crack detection, in particular to an intelligent detection system for house outer wall cracks, which comprises an optical frequency comb scanning module, a polarized light scattering analysis module, a holographic imaging refining module and a data integration and alarm module. According to the invention, the optical pulse emitted by the laser source is accurately controlled, high-precision scanning is carried out on the outer wall of the house, and the data acquisition precision is optimized, so that the spatial position information is captured more accurately, and the roughness and structure change information of the crack surface is extracted according to the polarization state change of the light through the measurement of the polarized light. The three-dimensional form of the crack is recovered by utilizing a holographic imaging technology, a detailed three-dimensional view of the crack is provided, and the crack change can be monitored in real time through comprehensive processing of data and setting of a warning threshold, so that the response speed and the processing efficiency of crack monitoring are remarkably improved, and the human intervention requirement is reduced; and the capability of preventing and dealing with crack propagation is 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 a preparation method of a reconfigurable glass scintillation screen and application of the reconfigurable glass scintillation screen in X-ray co-formation imaging, and belongs to the technical field of X-ray imaging, and the preparation method specifically comprises the following steps: raw material pre-synthesis, high-temperature melting, glass scintillation screen forming and reconstruction processing. The problems that a commercial scintillator in a flat plate type X-ray detector is high in processing difficulty, the shape of the commercial scintillator is not plastic, the commercial scintillator cannot be conformal with a measured object with an irregular shape and the like are effectively solved, and meanwhile, the problems of light scattering and transmittance reduction in a conventional polymer-doped flexible scintillation screen are solved. The shape of the glass scintillation screen can give full play to the reconfigurable characteristic of the glass scintillation screen, the glass scintillation screen is processed according to the shape of a measured object, conformal X-ray imaging is further completed under the condition that the shape of the object changes continuously, the problem of imaging distortion caused by non-conformal imaging is effectively solved, and the imaging resolution is high.

The invention pertains to the technical fields of bioanalytics and agriculture, and relates to a method and to an assembly for in-ovo sexing of bird eggs. The aim of the present invention is to provide a method and an assembly by means of which in-ovo sexing of bird eggs is achieved with a stable predictive accuracy of the sex and which are simple and cost-effective. The aim is achieved using a method and an assembly in which a fertilised bird egg incubated for 3 to 9 days is irradiated with at least two light-emitting laser beam sources with different excitation waves after the shell is opened, the captured and processed fluorescence scattering spectra and Raman scattering spectra being used, as complementary spectra associated with the different excitation wavelengths, to determine a classification value, and the sex being determined by comparing the determined classification value with an intrinsically determined threshold value. The method and the assembly can be used for sexing farm poultry.

The invention discloses a composite thermochromic window with a dual-band dynamic regulation and control function. The composite thermochromic window comprises a first transparent substrate, a tungsten-doped vanadium dioxide film, a second transparent substrate and a hydrogel layer. The tungsten-doped vanadium dioxide film is deposited on the upper surface of the first transparent substrate, and the phase transition temperature is 25-32 DEG C; the hydrogel layer is thermo-sensitive poly (N-isopropylacrylamide) and is encapsulated between the two transparent substrates, and the low critical phase transition temperature is 32 + / -2 DEG C. When the temperature is lower than 25 DEG C, the infrared transmittance of the tungsten-doped vanadium dioxide film is larger than or equal to 75%, and the visible light scattering rate of the hydrogel layer is smaller than or equal to 10%; when the temperature is higher than 32 DEG C, the near-infrared transmittance of the tungsten-doped vanadium dioxide film is reduced to the minimum value, and the visible light scattering rate of the hydrogel layer is increased to 35% or above. Compared with the prior art, the system and the method have the advantages that dual-band dynamic regulation and control of visible light and near-infrared light are achieved, the indoor photo-thermal environment can be automatically regulated according to the environment temperature, and the building energy utilization efficiency is improved.

The invention relates to the field of smoke detection, in particular to a portable smoke detection device easy to store, which comprises a smoke particulate matter light scattering detection module, an electrochemical gas sensing detection module and a central processing linkage optimization module, the smoke particulate matter light scattering detection module is used for acquiring a particle concentration signal value in to-be-detected air and realizing a particle concentration preliminary result through a particulate matter concentration algorithm; the electrochemical gas sensing detection module is used for acquiring a gas concentration signal value in air, and calculating and outputting a characteristic gas risk factor through a gas concentration algorithm; and the central processing linkage optimization module integrates and calculates a smoke comprehensive risk index through a linkage optimization algorithm according to the particle concentration preliminary result and the characteristic gas risk factor, and dynamically adjusts algorithm parameters according to real-time monitoring data to form closed-loop self-adaptive optimization.

The invention discloses an intelligent monitoring image defogging method and system based on coring attention. Constructing a pairing data set of the haze image and the corresponding clear image by improving an atmospheric light scattering model; a coring attention defogging network structure is designed, the coring attention defogging network structure comprises a shallow feature extraction layer and a local-global coring attention module, and defogging image restoration is carried out by using convolution operation; training the coring attention defogging network by using three loss functions, namely a mean square error loss function, an edge loss function and a Gaussian kernel perception comparison loss function; and a user inputs a to-be-processed haze image into the trained coring attention defogging network to obtain a restored clear image. According to the invention, haze in the intelligent monitoring scene can be removed, the scene adaptability is high, and the defogging effect is obvious. Random feature mapping in a Gaussian kernel Fourier domain is adopted in the constructed nucleation attention module, and the nucleation attention module is helped to focus on a haze area with higher discrimination in a feature map.

The invention belongs to the field of particulate matter optical sensing, and particularly relates to a particulate matter light scattering signal acquisition method and device, and the method comprises the steps: controlling scattered light with different scattering angles generated by particulate matter to be detected to reach a digital micromirror device DMD; enabling scattered light of different scattering angle combinations to reach a photoelectric detector by utilizing an on state and an off state of each micromirror in the DMD so as to realize multiple acquisition of scattered light signal intensity by the photoelectric detector and obtain a measurement signal vector S; wherein when a single micro-mirror is turned on, scattered light reaching the micro-mirror is focused on the photoelectric detector through the micro-mirror according to a preset light path, and when the single micro-mirror is turned off, the scattered light reaching the micro-mirror is diffused to an area outside the photoelectric detector; 1 norm minimization is carried out on X = (phi psi)-1S, and X and a sparse domain psi are determined; and performing inversion according to P = psi X to obtain the scattered light intensity P of different scattering angles generated by the particulate matter to be measured. According to the invention, the collection efficiency of scattered light intensity spatial distribution can be improved.

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.