1330 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 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 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.

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.

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 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 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 deep-sea mining pulp concentration and granularity measuring device comprises a main pipeline and an optical detection unit, a branch pipeline is arranged on the main pipeline, the optical detection unit comprises a light source and an image acquisition module arranged corresponding to the light source, and the light source and the image acquisition module are located on the two sides of the branch pipeline respectively; an array type ultrasonic sensor is further arranged on the main pipeline; and the image acquisition module and the array type ultrasonic sensor are connected with the control system. According to the invention, the concentration and granularity information of particles coexisting in three-phase media of tuberculosis particles, sediment particles and seawater is measured in a combined manner by adopting a plurality of measurement modes combining ultrasonic wave, light scattering and image methods, the detection accuracy is high, and the concentration (particle volume fraction) and granularity information of particles in ore pulp can be detected at the same time; the detection result is high in accuracy and the detection speed is high.

The invention discloses a lighting device and a vehicle, and the lighting device comprises a support, a light-transmitting cover plate, a light source assembly and a light scattering part. The light-transmitting cover plate is connected to the support, so that a containing cavity is formed between the light-transmitting cover plate and the support. The light source assembly is installed on the support. The light scattering part is arranged in the containing cavity, a plurality of first areas and a plurality of second areas are arranged on the light scattering part, at least part of the first areas and at least part of the second areas are alternately distributed, and one or more crystal particles used for reflecting light in different directions are arranged in the first areas and the second areas. A size of the crystal particles in the first region is smaller than a size of the crystal particles in the second region. According to the invention, the first region and the second region are arranged at different positions on the light scattering part, and the crystal particles with different sizes are arranged in the first region and the second region, so that different reflection effects can be presented through the reflection effects of the crystal particles in different regions on light rays; the visual effect of different brightness can be achieved when the lighting device is observed at different visual angles.

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.

A liquid crystal optical element includes an optical function layer and two transparent substrates. The optical function layer is sandwiched between two transparent substrates. The optical function layer contains liquid crystal molecules and a photoisomerization material. The liquid crystal optical element switches between a light-transmitting state and a light-scattering state according to an orientation state of the liquid crystal molecules. The optical function layer holds the liquid crystal molecules and the photoisomerization material within a mesh structure formed of a resin-particle aggregate. Therefore, light can be strongly scattered when the liquid crystal optical element is in a screen state, and a high-contrast image is obtained when visible light is projected onto the liquid crystal optical element.

The invention discloses an aspheric keratoprosthesis lens column, a keratoprosthesis and an application method of the aspheric keratoprosthesis lens column, the whole lens column is cylindrical, the front surface of the lens column is a convex surface, the rear surface of the lens column is a concave surface, the rear surface of the lens column is a surface close to the retina, the front surface of the lens column is a surface far away from the retina, and the front surface and the rear surface of the lens column are both curved surfaces. And the spherical surfaces are rotationally symmetrical aspheric surfaces. The artificial cornea comprises a lens column and a support, and the lens column is installed on the support. The fixed position of the lens column is that the distance between the vertex of the rear surface of the lens column and the retina is 10-120mm, the focal plane is perpendicular to the optical axis, and the inclination angle of the focal plane is 0 degree. According to the lens column, spherical aberration and coma can be effectively corrected, and the imaging quality is improved; light scattering is reduced, the visual contrast at night and in a low-light environment is improved, and the visual experience of a patient is improved; the deviation tolerance of the implantation position is higher, and the operation difficulty and the risk of postoperative complications are reduced.

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 discloses a lightweight embedded real-time image enhancement system and method, and relates to the technical field of image processing. The lightweight embedded real-time image enhancement system comprises an FA + Net network model which is a lightweight convolutional neural network and comprises a strong prior stage and a fine granularity stage; the strong prior stage utilizes a physical model and prior knowledge to correct light scattering and absorption of an underwater image, and the fine granularity stage enhances details and colors of the underwater image through a multi-branch structure; and the CycleGAN network model is a loop consistent antagonism network and comprises a generator and a discriminator, the generator is used for generating an output image of the FA + Net network model into an image with a required style, and the discriminator is used for performing detail optimization on the generated image. The problem that the visual effect is poor after an existing underwater image is enhanced is solved.

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.

According to an aspect there is provided a device for analyzing a speckle pattern from biological tissue, the device comprising:a light source configured to generate light for illuminating the biological tissue, such that the light is scattered by the biological tissue and forms the speckle pattern;a Fourier transform element configured to collect the light scattered by the biological tissue and to transform the collected light into a spatial Fourier domain at a Fourier plane of the Fourier transform element;a spatial bandpass filter arranged at the Fourier plane, the spatial bandpass filter being configured to selectively transmit light at a spatial position of the Fourier plane, the spatial position corresponding to a band of speckle sizes of the speckle pattern;a photosensitive detector configured to detect the light transmitted though the bandpass filter, wherein a signal output from the photosensitive detector comprises information on contrast of the speckle pattern.

Provided herein are methods of detecting exosomes, including unlabeled exosomes. In some embodiments, the methods include disposing a fluidic sample that comprises a plurality of exosomes in a chamber that is positioned at least partially within a fluidic device in which an inner surface of the chamber comprises a first set of exosome binding moieties that are capable of binding the exosomes. In some embodiments, the methods also include binding a portion of the plurality of exosomes to a portion of the first set of exosome binding moieties to produce surface-bound exosomes, introducing an incident light toward the inner surface of the chamber prior to, concurrent with, and / or after, producing the surface-bound exosomes, and detecting light scattered by the surface-bound exosomes to produce a set of exosome imaging data. Related fluidic devices, systems, and computer readable media are also provided.

The invention relates to the technical field of ultrapure water particle monitoring, and discloses a light scattering and image recognition dual-method ultrapure water particle monitoring system and method. The system comprises a light scattering detection module, an image recognition detection module, a double-channel parallel sampling module, a multi-modal data fusion module and a dynamic feedback control module. The light scattering detection module detects large particles, the image recognition detection module detects small particles, and double-channel parallel sampling provides a stable water sample environment for the light scattering detection module and the image recognition detection module respectively. The multi-modal data fusion module fuses data to generate a full-particle-size particle distribution map, and the dynamic feedback control module adjusts detection parameters according to the full-particle-size particle distribution map. According to the invention, full-particle-size precise monitoring is realized, the monitoring precision, stability and reliability are improved, detection parameters can be adaptively optimized, the method is widely applied to the industries of electronic chip manufacturing, biological medicine and the like, and the water quality of ultrapure water is effectively guaranteed.

The invention relates to an automatic calibration device and method for continuously monitoring smoke dust concentration, and belongs to the technical field of environment monitoring. The device comprises a drying device, a dynamic heating system, a receiver and a radioactive source, a drying position, a sampling position and a detection position are sequentially arranged from left to right or from right to left; wherein the position where the drying device is located is a drying position, the lower portion of an exhaust pipe wrapped by the dynamic heating system is a sampling position, and the middle position where the receiver and the radioactive source are located is a beta-ray intensity detection position; and calculating the concentration of the smoke dust to be measured by adopting a smoke dust concentration automatic calibration algorithm according to the measured beta-ray intensity and sampling flow. According to the invention, long-time, high-precision, continuous and reliable operation of the light scattering smoke dust concentration continuous monitoring instrument can be ensured.