28 results about "Mie scattering" patented technology

The invention relates to the technical field of environmental monitoring and particulate matter detection, and discloses a particulate matter concentration and particle size detection method and device.The method comprises the steps that a particulate matter sample is irradiated with laser, and forward and lateral scattered light signals are received through a photoelectric detector and converted into actual voltage vectors; constructing a chromosome data structure by adopting real number coding, and obtaining a to-be-inverted parameter set; within a preset value range of each parameter, generating an initial population by adopting a Latin hypercube sampling method; the particle size parameters are input into a Mie scattering model for calculation, and a theoretical voltage vector is obtained; performing mean square error calculation on the theoretical voltage vector and the actual voltage vector to obtain a fitness evaluation result of population individuals; if the fitness evaluation result of the population individuals meets a preset termination condition, executing a result output step; otherwise, executing genetic iteration by using the current population to generate a new population, and then returning to the scattering calculation step; on the basis of the optimal chromosome parameters meeting the termination conditions, a particulate matter concentration value and a particle size distribution curve are obtained.

The invention relates to a direct assimilation method and system for an aerosol attenuation backscattering coefficient, and relates to the technical field of data assimilation of atmospheric aerosol. The method comprises the following steps: based on a laser radar equation, constructing a nonlinear observation operator of a direct assimilation aerosol attenuation backscattering coefficient by adopting a Mie scattering theory; according to a three-dimensional variational assimilation theory and a nonlinear observation operator, constructing an assimilation model for solving an aerosol attenuation backscattering coefficient of an objective function minimum solution; acquiring assimilated laser radar aerosol observation data for preprocessing, and inputting the preprocessed observation data into an assimilation model; and operating the assimilation model, taking the minimum solution obtained by solving as an aerosol increment field, and superposing the aerosol increment field to a background field to obtain an analysis field of the aerosol. According to the method, direct assimilation of the first-level observation data of the laser radar aerosol is realized, more accurate aerosol initial distribution is provided for the mode after assimilation, and a more accurate aerosol analysis and prediction result can be obtained.

The invention provides a particulate matter physical property determination method based on Mie scattering, and relates to the technical field of particulate matter physical property measurement, and the method comprises the steps: generating and capturing a single particle; performing lateral scattering phase function imaging and interference correction backscattering phase function imaging on the particles; respectively extracting each imaging result to obtain a first gray value distribution curve and a second gray value distribution curve; calculating lateral off-sphere scattering electric field distribution and interference correction back off-sphere scattering electric field distribution of the particles under different particle physical characteristic values; determining first and second light intensity distribution curves of the particles; determining the distance between the gray value distribution curve and the light intensity distribution curve which correspond to each other; determining a target distance meeting a corresponding condition in all the distances; taking a particle physical characteristic value corresponding to the target distance as a candidate physical characteristic value of the captured particle; and determining the physical characteristic value of the captured particles according to all candidate physical characteristic values. The invention aims to reduce the measurement cost of the physical characteristics of particles.

The invention discloses an ambient air particulate matter detection method and device and electronic equipment, and relates to the field of environment monitoring. The method comprises the following steps: acquiring environment data, and adjusting a voltage threshold value of a photoelectric sensor array based on the environment data to obtain a target voltage threshold value; under a target voltage threshold value, acquiring scattered light intensity distribution of the particulate matter to be detected under different wavelengths through a photoelectric sensor array; based on the scattered light intensity distribution, calculating a particle size distribution parameter of the to-be-detected particulate matter; on the basis of the particle size distribution parameters, in combination with the Mie scattering theory, establishing a function relationship between the particulate matter concentration and the scattered light intensity; and determining the target scattered light intensity from the scattered light intensity distribution, and inputting the target scattered light intensity into the function relationship to obtain the target concentration corresponding to the particulate matter to be detected. By implementing the technical scheme provided by the invention, the accuracy of particulate matter detection is improved.

The invention relates to the technical field of water quality on-line monitoring and optical detection, in particular to a water quality turbidity on-line monitoring system of a vegetable cleaning circulating waterway, which comprises the following steps: collecting 90-degree lateral scattering light intensity time sequence waveform, 180-degree transmission light intensity time sequence waveform and flow velocity characteristic parameters; constructing a low-frequency continuous change ideal reference based on a preset Mie scattering theory model and the flow velocity characteristic parameters; injecting a non-target scattering interference parameter to generate an interfered simulation waveform; respectively extracting an actual measurement residual error template set and a theoretical residual error template set; performing morphological similarity comparison and outputting an interference judgment result; eliminating and compensating interference fragments, reserving measured data of non-interference fragments, and resolving a corrected turbidity result; and updating the interference parameters and the ideal reference according to the corrected turbidity result and the interference judgment result. The stability and the accuracy of turbidity measurement in the dynamic circulating waterway can be improved.

The present application relates to the technical field of 532nm laser attenuation coefficient prediction, and provides a method and system for predicting the 532nm laser attenuation coefficient of a sea surface spray layer, which comprises the following steps: calculating the sea surface roughness length according to the wind speed at any height above the sea surface; calculating the wind speed at a specified height above the sea surface based on the wind speed at any height above the sea surface and the sea surface roughness length; constructing an attenuation coefficient prediction model based on the integrated unified sea surface spray generation function and Mie scattering theory, and substituting the wind speed at the specified height above the sea surface in a preset numerical range into the attenuation coefficient prediction model to calculate the attenuation coefficient of the 532nm laser propagating in the near-sea surface spray layer. The present application can realize high-precision and convenient prediction of the 532nm laser attenuation coefficient under all sea conditions, and provides support for offshore laser detection, communication and other engineering applications.

The application provides a laser ranging correction system and method in a dust environment in a limited space, and relates to the field of optical measurement technology. A laser power attenuation model and a wavelength change relationship in a dust environment are obtained based on Mie scattering and a multi-particle single scattering model; a power attenuation coefficient is obtained based on the power attenuation model and Lambert-Beer law to estimate an effective ranging range of the instrument; and a distance correction model in the dust environment is established based on the wavelength change relationship and Maxwell electromagnetic theory. When applied, dust is collected in the limited space and a particle size distribution spectrum is obtained; a concentration measuring instrument is arranged in the limited space to collect dust mass concentration in real time; dust mass concentration on a ranging light path is obtained by interpolating the dust concentration at arrangement points; the particle size distribution and the light path dust mass concentration are substituted into the attenuation model and the distance correction model to obtain a correction value to correct the measured distance, and finally the ranging accuracy of the laser range finder in a dust environment in a limited space such as a mine working face and a construction site is improved.

The invention discloses a cloud scene spectral radiance simulation method based on space-based observation and a related device, and relates to the technical field of spectral radiance simulation, and the method comprises the steps: obtaining simulation parameters of a cloud-containing layer, atmosphere, a position and a wave band; calculating a cloud layer optical characteristic coefficient by using a Mie scattering theory, and solving a cloud layer refraction coefficient in combination with a Kramers-Kronig relationship; based on the refraction coefficients of the atmosphere and the cloud layer, the cloud layer surface reflectivity is obtained through the Fresnel reflection law; and solving a radiation transfer equation by adopting a two-flow approximation method, enabling the non-uniform atmosphere to be equivalent to a plurality of uniform sub-layers, introducing reflectivity into the cloud sub-layer to represent the reflection contribution of the cloud sub-layer, and finally obtaining the spectral radiance at the zenith. According to the method, parameters are accurately set to adapt to various scenes, the calculation precision of optical parameters and reflectivity is ensured by means of a physical mechanism, the calculation burden is remarkably reduced through two-stream approximation, efficiency and precision are considered, and the problems that an existing method is time-consuming in calculation and large in burden on complex clouds, especially clouds with high optical thickness are effectively solved; and the spectral radiance of the cloud scene can be accurately simulated.

The invention relates to the technical field of wireless communication, in particular to an intelligent anti-interference method for multi-physics coupling and polarization diversity, which integrates a material shielding effect, a dust scattering characteristic and a dynamic polarization optimization mechanism so as to improve the reliability and the stability of wireless communication in a deep well environment. The method comprises the following steps: firstly, establishing a path loss correction model based on an eddy current shielding effect of a metal support material and a Mie scattering theory of dust concentration; secondly, providing an intelligent anti-interference layered framework, combining a direct sequence spread spectrum (DSSS) technology and a wavelet adaptive filtering method, and introducing a game theory to optimize multi-source node power distribution; and further designing a polarization-time delay joint compensation strategy, and suppressing multipath fading and inter-symbol interference in a non-line-of-sight scene by adopting a circularly polarized antenna and a channel equalizer based on a convolutional neural network and a long-short term memory network. Compared with a traditional method, the method has the advantages that the bit error rate can be reduced by 42% in a high-dust-concentration (200 g / m) environment, and the signal to interference plus noise ratio can be increased by 15 dB in a strong electromagnetic interference area.

The present application relates to the technical field of light scattering characteristic calculation, and particularly relates to a method for calculating the transmission characteristic of light in a multi-particle Mie scatterer, comprising: Mie particle scattering phase function calculation: according to the scattering particle density, the scattering particle size and the particle refractive index, the coefficients of Mie scattering are calculated to obtain the Mie scattering phase function; the propagation mode of light is analyzed through the Mie scattering phase function; multi-particle Mie scattering calculation: an equivalent free path is defined; after scattering, the probability of particle collision is calculated; according to the probability, a particle is randomly sampled from the particles, the phase function corresponding to the selected particle is used for angle sampling, the new direction cosine is calculated by using the angle and the original direction cosine, and the direction of the photon is updated; the process is repeated until the light propagates out of the scatterer. The method has the advantages that the scattering behavior is processed through a unified calculation framework, the modeling efficiency and the application range are improved while the physical consistency is ensured.

The invention relates to the technical field of optical detection, and discloses a Mie scattering theory-based laser particle size inversion method, which comprises the following steps of: constructing a laser scattering measurement system which comprises a laser light source, a sample cell, an optical collimation assembly, a scattered light collection assembly and a photoelectric detection assembly, monochromatic laser emitted by the laser light source is processed by the optical collimation assembly to form parallel light beams which are incident to a particle sample in the sample cell, and the light beams and the particle sample interact to generate scattered light. Scattered light collection assemblies distributed in an annular array are adopted to cover forward, lateral and backward multiple scattering angles, and a Vondrak smoothing algorithm is combined to carry out noise filtering and baseline correction preprocessing, so that the integrity and purity of scattered light signal collection are improved, and the interference of ambient light, circuit noise and background light on signals is effectively reduced. And accurate data support is provided for subsequent correlation model construction, so that the accuracy of a particle size inversion result is improved.

The invention belongs to the technical field of atmospheric environment monitoring, and discloses an aerosol particle size distribution measurement system based on a long-wave infrared laser radar, a long-wave infrared laser emission module generates a stable long-wave infrared laser signal, a light beam expansion and emission module carries out light beam shaping and divergence angle compression on the laser signal, and the long-wave infrared laser radar generates a long-wave infrared laser signal; the receiving and detecting module captures back scattering light of aerosol in the atmosphere and converts the back scattering light into electric signals, the signal processing module carries out noise reduction and analysis on the electric signals output by the receiving and detecting module to obtain aerosol optical parameters, and the Mie scattering theory calculation module calculates extinction efficiency factors of aerosol particles under different particle sizes based on the Mie scattering theory. And the particle size distribution inversion module is combined with the extinction coefficient and the extinction efficiency factor, and aerosol particle size distribution is obtained through inversion. According to the invention, through combination of long-wave infrared laser detection and a precise inversion algorithm, high-precision measurement of the particle size distribution of the large-particle aerosol is realized.

The application relates to a direct assimilation method and system of aerosol attenuation backscattering coefficient, and relates to the technical field of data assimilation of atmospheric aerosol. The method comprises the following steps: based on a laser radar equation, a nonlinear observation operator for directly assimilating aerosol attenuation backscattering coefficient is constructed by using Mie scattering theory; according to a three-dimensional variation assimilation theory and the nonlinear observation operator, an assimilation model for solving a minimum solution of a target function is constructed; laser radar aerosol observation data for assimilation are preprocessed, and the preprocessed observation data are input into the assimilation model; the assimilation model is run, the minimum solution obtained by solving is taken as an aerosol increment field and is superimposed on a background field to obtain an analysis field of the aerosol. The application realizes direct assimilation of first-level laser radar aerosol observation data, provides a more accurate initial distribution of the aerosol after assimilation, and can obtain more accurate analysis and prediction results of the aerosol.

The invention discloses a silt grading and concentration real-time online monitoring device, and belongs to the technical field of water quality monitoring. Aiming at the problems of long time consumption, insufficient precision and poor representativeness of the existing sediment measurement method, a multi-point water level diversion sampling device is adopted to collect water samples from different depths and positions, and the sampling representativeness is ensured in cooperation with a flow velocity sensor; setting a sapphire glass detection window to maintain optical clarity; dynamically adjusting laser power through a laser scattering particle size analysis system and calculating particle size distribution based on a Mie scattering theory; monitoring the flow in real time by using a flow measurement module, and synchronously calculating the concentration in combination with scattering data; an automatic cleaning function module is configured to remove attachments, and an environment adaptation protection module provides anti-abrasion and anti-pollution protection. The real-time online monitoring of sediment grading and concentration is realized, and the method is suitable for water quality monitoring, equipment efficiency evaluation and environmental protection in the fields of hydroelectric generation, water supply systems, sewage treatment plants and environmental monitoring.

This invention provides an inversion method for measuring ozone using a double differential absorption lidar. This method, which belongs to the field of ozone measurement, includes: preprocessing lidar signals of all wavelengths; performing geometric overlap factor correction on the lidar signals of all wavelengths, and performing distance square correction on the lidar signals of all wavelengths; selecting the wavelength of the lidar least affected by ozone absorption, and calculating the aerosol boundary layer using the gradient method for the echo signal of this wavelength; calculating the coefficient C of the double differential absorption lidar below the aerosol boundary layer based on theories such as Mie scattering and the Jung index; and calculating the coefficient C of the double differential absorption lidar above the aerosol boundary layer based on Rayleigh scattering theory; and inverting the ozone concentration to obtain a final ozone content profile. This invention can improve the accuracy of ozone measurement.

The application discloses a kind of microbial multimode optical detection system and its application, including flow chamber, first detection light path, second detection light path and controller, through the control logic of screening, second detection light path trigger of first detection light path, second laser light source is only opened when detecting microorganism, avoid invalid excitation, make laser life prolong, reduce the optical damage of quartz flow chamber simultaneously.The "particle size+405nm fluorescence+280nm double-band fluorescence ratio" is created, which can effectively judge the survival state of bacteria and the inert particles adsorbing fluorescent substances, solving the industry problem of "inert particles adsorbing tryptophan being misjudged as dead bacteria" in the prior art.Using arc-shaped detector array to receive scattered light at multiple angles, combined with Mie scattering theory model, the particle size measurement accuracy of non-spherical microorganisms is significantly better than single-point detection scheme.The first detection light path and the second detection light path are spatially separated, and the scattered light and the fluorescent signal do not interfere with each other, so that the weak fluorescent signal of the small microorganism can be stably detected.

The present invention provides a high-resolution scattering spectrum particle size measurement method and system. The method comprises: based on Mie scattering theory, introducing an angular scattering efficiency factor to simulate the scattering spectrum of the particle to be measured; selecting the scattering spectrum peak and scattering angle to be observed based on the relationship between the peak shift in the scattering spectrum, the particle size, and the scattering angle; establishing a calibration model based on the relationship between the peak shift in the scattering spectrum, the particle size, and the scattering angle; measuring the scattering spectrum of the particle to be measured, and determining the particle size of the particle to be measured using the calibration model. The present invention achieves particle size measurement by simply locating the peak of the measured scattering spectrum, simplifying data processing, and achieving extremely high measurement resolution.

The invention relates to the technical field of special functional materials, in particular to an aerosol self-organizing light scattering shielding material and a preparation method thereof.The aerosol self-organizing light scattering shielding material is prepared from, by weight, 52.0-55.0 parts of rare earth doped hollow microspheres, 12.0-15.0 parts of a thermochromic outer layer, 10.0-12.0 parts of a surface modification and charge stabilization system and 15.0-18.0 parts of an aerogel network, 3.0-3.0 parts of a carrier solution and a stabilizer; through an optimally designed rare earth doped hollow microsphere structure, gt, gt and gt are realized in a visible light wave band (400-700 nanometers); the Mie scattering efficiency is 98%, and an effective optical shielding barrier is formed.

The application relates to a particle scattering light detection structure based on Mie scattering theory, belonging to the technical field of particle optical detection, which comprises a main body shell, a communication block is arranged in the main body shell, an irradiation cavity is arranged in the communication block, a light inlet channel and a detection channel are arranged in the main body shell, a main gas path channel extending along the length direction of the gas inlet pipe is arranged in the gas inlet pipe, a reflection channel is further arranged between the light inlet channel and the detection channel in the main body shell, one end of the light inlet channel, the reflection channel and the main gas path channel is communicated with the irradiation cavity, one end of the detection channel is communicated with the other end of the reflection channel, a reflection surface is arranged in the communication block, a compensation gas path channel communicated with the irradiation cavity is arranged in the bottom inner wall of the reflection surface, the irradiation cavity is configured to reflect part of the scattering light emitted by the particles in the direction away from the reflection channel into the reflection channel by the reflection surface, and the compensation gas path channel is used for compensating the gas pressure at the reflection surface in the irradiation cavity.

The invention relates to the technical field of polymer-based composite materials, in particular to a method for predicting light scattering performance of a polycarbonate (PC)-based composite material based on machine learning. According to the method, a reliable prediction model for the light scattering performance of the PC-based composite material is successfully constructed, and aiming at the bottlenecks that the light transmittance and the haze of the traditional PC-based light scattering material are difficult to be collaboratively optimized and the material design highly depends on experience trial and error, a high-throughput data set is constructed by using the Mie scattering theory and finite time domain difference (FDTD) electromagnetic simulation, so that the light scattering performance of the PC-based composite material is predicted. Rapid prediction and reverse solution of material microstructure parameters (scatterer types, particle sizes, contents and the like) and macroscopic optical indexes (light transmittance and haze) are realized through machine learning. According to the method, the most potential scheme can be screened from a large number of candidate scatterers, formula parameters and PC base materials in a short time, the research and development period is remarkably shortened, and the experiment cost is reduced.

This invention belongs to the field of radiative heat transfer technology, specifically relating to a method for obtaining the radiation characteristics of divergent suppressed particles. The calculation results of the absorption factor and scattering factor obtained by this method are in good agreement with those obtained by traditional Mie scattering calculations. When the shape factor increases to the point that traditional Mie scattering calculations diverge, the proposed divergent suppressed particle radiation calculation method does not diverge, effectively solving the divergence problem that occurs in traditional Mie scattering calculations when the shape factor increases. By introducing the divergent suppressed Riccati-Bessel formula and stepwise recursive calculations, the stable calculation of the absorption factor Qa and scattering factor Qs is ensured, avoiding divergence and thus improving the reliability and accuracy of particle radiation characteristic calculations.

The application provides a quick calculation compensation method for the influence of rainfall on visible light-near infrared band optical communication, and is used for solving the technical problems that the traditional Mie scattering calculation method is difficult to meet the fast and efficient requirements of related research because the programming implementation technology is complex, the calculation speed is slow, numerical instability is prone to occur and the like due to relying on the Bessel function, continued fraction recursion and the like. The quick calculation compensation method for the influence of rainfall on visible light-near infrared band optical communication can realize the quick and stable calculation of Mie scattering optical parameters of three rainfall types and any rainfall intensity in the visible light-near infrared band on the basis of guaranteeing the calculation accuracy, realizes the quick and real-time output of the calculation results, and can be widely applied to the optical communication compensation technology in the fields of laser communication, automatic driving and the like.

The invention relates to the technical field of particle detection, and provides aerosol detection equipment based on laser-induced fluorescence, which comprises a laser emission unit, a photosensitive area, a beam splitting unit, a first optical sensor, a spectrometer and a signal processing unit, the laser emitting unit is used for emitting laser and focusing the laser to the photosensitive area; the laser irradiates the to-be-detected particles flowing through the photosensitive area so as to excite the to-be-detected particles to generate optical signals; the beam splitting unit is used for receiving the optical signal and separating Mie scattered light and fluorescent light from the optical signal; the first optical sensor is used for receiving the Mie scattered light to obtain a scattered light detection signal; the spectrograph is used for receiving the fluorescence to obtain a fluorescence detection signal; the first optical sensor and the spectrograph are respectively in communication connection with the signal processing unit, and the signal processing unit is used for identifying and detecting the to-be-detected particles according to the scattered light detection signal and the fluorescence detection signal to generate an aerosol detection result. And high-precision and anti-interference detection of the aerosol is realized.

The invention relates to a calculation method for solving the sky radiance and the atmospheric transmittance of a Mars sand and dust environment, and belongs to the technical field of Mars exploration. Comprising the following steps: Mars atmosphere characteristic modeling: combining data, dust rules and normal distribution characteristics to construct a layered atmosphere particle input model; based on the Mie scattering theory and the Mars atmospheric parameters, the scattering characteristics and radiation transmission of particles are calculated; solving atmospheric radiation transmission; and performing multi-parameter coupling spectral response analysis, transmittance calculation and radiance calculation. Based on the Mie theory and the Monte Carlo method, key factors such as scattering and absorption of sand and dust particles, the solar elevation angle and the atmospheric structure are completely considered, the radiation characteristics in the Mars sand and dust environment can be relatively truly reflected, the simulation precision of the Mars complex atmospheric environment is remarkably improved, and the landing precision requirement is met.

The invention discloses an FMCW laser ranging signal denoising method based on a neural network, and belongs to the technical field of laser ranging. The method comprises the following steps: firstly, performing high-pass filtering, demodulation and normalization processing on an original signal to eliminate system difference; extracting local frequency features by using MLP and expansion convolution; signal features are optimized through a residual network and jump connection; and finally, respectively outputting the purified signal and the target distance value by adopting a double-branch decoding structure. The simulation training data is generated based on Monte Carlo simulation and Mie scattering theories, and the aerosol scattering environment is truly restored. According to the method, the neural network is creatively used for processing the frequency domain characteristics of the FMCW signals, real target signals and environmental noise can still be accurately distinguished under the low visibility condition, and the accuracy and environmental adaptability of a ranging system are remarkably improved; the method has the advantages of end-to-end processing, strong anti-interference capability, good practicability and the like, and is particularly suitable for laser ranging application under severe weather conditions.

The invention provides an aerosol micro-physical property profile determination method, device and equipment and a medium, and the method comprises the steps: obtaining atmospheric whole-layer column average aerosol volume scale spectral distribution and multi-wavelength complex refractive indexes of a plurality of ground sites in different time periods, and obtaining monitoring data including a real part and an imaginary part; constructing a coarse and fine modal aerosol six-parameter distribution database according to the monitoring data, and clustering the database to generate a plurality of coarse and fine modal aerosol scale spectrum distribution models; and each model calculates a preset wavelength backscattering coefficient calculation value based on a Mie scattering theory, performs layer-by-layer iterative comparison on the preset wavelength backscattering coefficient calculation value and corresponding wavelength observation values of different altitudes of the spaceborne laser radar by using a preset cost function, and inverts an aerosol micro-physical property profile. By adopting the scheme, high-precision and large-scale aerosol micro-physical property profile inversion can be realized, so that atmospheric aerosol monitoring research is effectively supported.

This invention provides a method, apparatus, electronic device, and storage medium for Mie scattering signal identification, belonging to the field of signal processing technology. The method includes: acquiring X-band dual-polarization radar data and S-band radar reflectivity; constructing an attenuation correction model based on differential propagation phase and undetermined correction coefficients; determining an objective function based on the attenuation correction model and S-band radar reflectivity; solving the objective function to obtain optimal correction coefficients; correcting the X-band reflectivity based on the optimal correction coefficients and the attenuation correction model to obtain the optimal corrected X-band reflectivity; and determining the Mie scattering signal based on the interpolated S-band radar reflectivity and the optimal corrected X-band reflectivity. This invention determines the optimal correction coefficients by solving the objective function and uses the optimal correction coefficients and the attenuation correction model to achieve accurate attenuation correction of the X-band reflectivity, thereby obtaining the difference between the corrected S-band and X-band reflectivities in the strong echo region, and thus achieving accurate identification of the Mie scattering signal.

This invention relates to the field of detection and analysis technology, and discloses an online counting and classification method for micron-sized particles in concentrated solutions. The method includes: acquiring dynamic image sequences of the concentrated solution using a high-speed microscopic imaging unit and simultaneously obtaining optical and fluid parameters; constructing a physical optics forward model based on Mie scattering theory for background correction and scattering enhancement; extracting multidimensional invariant features of the particles, then using an unsupervised domain adaptive encoder to decouple content and style features, and achieving cross-domain knowledge transfer through adversarial training; and combining spatiotemporal correlation tracking and trajectory uniqueness counting to output the quantity concentration of various types of particles per unit volume. This invention achieves high-precision, cross-production-line online particle monitoring without target domain annotation, significantly improving detection robustness and automation.