15 results about "Particle scattering" patented technology

This invention relates to a continuous three-dimensional particle field reconstruction method based on single-light-field imaging using EM deconvolution, belonging to the field of optical imaging technology. This method employs a light field camera to capture light field images of a discretized three-dimensional flow field, acquiring the light intensity information of scattered light emitted by particles on each pixel of a CCD detector. Based on the light intensity information, a weight matrix for each voxel is calculated, and the entire weight matrix is ​​loaded only once. The nth frame of the light field image is loaded, and the non-zero pixels in the nth frame are identified. The non-zero pixel sequence formed by the scattered light from tracer particles is extracted. An EM deconvolution algorithm is used to iteratively calculate the non-zero pixel sequence, updating the intensity of each voxel, thereby reconstructing the three-dimensional particle field of a single frame. The above steps are repeated to complete the reconstruction of the three-dimensional particle field from multiple frames of high temporal resolution light field images, resulting in higher reconstruction accuracy and consistency, and less time consumption.

The invention discloses a multi-light-intensity scanning measurement method for nano-particle tracking analysis. According to the method, scanning measurement is carried out on the same sample according to a plurality of preset laser power gears in sequence, and particle scattering signals and motion trail data under different light intensities are obtained; processing the data under each light intensity to generate a concentration distribution curve, and evaluating a light intensity measurement result to determine the adaptive measurement light intensity of each particle size peak; and finally, aiming at the components with different particle size spans, carrying out data merging by adopting a'long-distance peak direct splicing 'strategy and a'neighbor peak weighted smooth fusion' strategy respectively. According to the invention, the problem of deviation caused by weak small particle signals and easy saturation of large particles during single light intensity measurement of a wide-distribution sample is solved.

The application discloses an OLED module for improving brightness uniformity and a processing method thereof. The OLED module comprises a cover plate, a substrate, an organic light-emitting diode array arranged on the substrate, a molten glass sealing ring formed by melting low-melting-point glass powder at the edge of the substrate, and a buffer sealing glue ring on the inner side. A micro-particle scattering layer is arranged in a cavity between the cover plate and the substrate. The scattering layer comprises a transparent matrix and scattering micro-particles dispersed in the transparent matrix. The particle size of the micro-particles is 1-10 microns, the haze of the scattering layer is 10%-40%, and the refractive index is 1.45-1.55. A laser etching groove is arranged in a glass powder coating area at the edge of the substrate. High-elasticity silicon resin is filled in the groove to form periodic convex points. The diameter of the convex points is 5-10 microns, the height is 10-20 microns, and the convex points are located between the low-melting-point glass powder and the substrate. The brightness uniformity and the sealing reliability are simultaneously improved through the synergistic optimization of the micro-particle scattering layer and the interface elastic convex point structure.

The present application relates to a kind of fire smoke detection method and corresponding device, belong to fire detection technical field.The method is arranged ionization charged component in the same measurement space, and particle charge collection component and particle scattering light detection component, by receiving particle charge signal Uc And particle scattering light signal Ps;Parameter Dn is obtained by calculation, then respectively compare Dn With preset ultrafine particle size determination threshold Td1, Uc With preset particle concentration alarm threshold Tp And Dn With preset micron level small particle size determination threshold Td2, then according to the judgment result output early fire alarm signal, fire alarm signal or non-fire disturbance signal.The present application does not need to distinguish different particle size when detecting ultrafine particle, obtains 0.1 micron level ultrafine particle size and concentration by calculation, simplifies charge collection structure and circuit, does not need to accurately control airflow, not only can sense early fire smoke PM0.1 Ultrafine particle, but also can detect ordinary smoke particle, and effectively removes large particle interference, significantly reduces false alarm rate.

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 application discloses a general geometric random channel modeling method for indoor optical wireless communication, and belongs to the field of wireless communication channel modeling. The method comprises the following steps: setting scene layout and frequency band related parameters; generating object reflection cluster birth-death process matrix and random numbers for controlling blocking effect and propagation component classification; initializing scattering clusters and scattering bodies in the clusters; updating and calculating model parameters changing with space and time; calculating light source radiation intensity, object reflection and particle scattering power distribution, and equivalent reflection coefficient; calculating sub-channel impulse response, judging whether the propagation component exists or not, and generating final channel impulse response. The general indoor optical wireless communication geometric random channel modeling method can depict common characteristics of optical wireless frequency bands and unique characteristics of infrared light, visible light and ultraviolet light frequency bands. Through setting corresponding parameters, the established model can support different frequency bands and can be flexibly used for simulation and performance evaluation of a 6G indoor optical wireless communication system.

A pipeline inline inspection system and method based on particle radiation detection imaging. The system comprises a radiation source (3) and a plurality of detectors (2); the plurality of detectors (2) are circumferentially and evenly distributed at intervals around the radiation source (3); the plurality of detectors (2) are respectively used for receiving, during inspection, a plurality of scattered particle radiations (6) formed after a plurality of incident particle radiations (5) emitted by the radiation source (3) are scattered by a pipeline wall (1) to be inspected.

A quantum weak measurement system and method based on polarization maintaining coupler light splitting, the system comprises a SLD light source, an optical isolator, a polarization maintaining coupler, a solution pool to be measured, a standard solution pool, a mirror and a spectrometer; the SLD light source emits a laser beam, the laser beam passes through the optical isolator and is divided into two light beams by the polarization maintaining coupler for pre-selection. The light beams of the measurement arm and the reference arm pass through the solution pool to be measured and the standard solution pool respectively, are reflected by the first and second mirrors, pass through the solution pool to be measured and the standard solution pool again to introduce a phase difference, and finally return to the polarization maintaining coupler for post-selection. The coupled outgoing light is received by the spectrometer and subjected to center wavelength analysis. The present application can reduce the interference of the environment (such as stray light, particle scattering, etc.) on the system, and the detection is more accurate and sensitive. By using the polarization maintaining coupler, the input signal is separated or coupled at a very high ratio, so that the light intensity projected to the post-selection state tends to zero to realize the orthogonality of the pre-selection state and the post-selection state. Compared with the polarization perpendicular method, the present system has a higher extinction ratio and a more significant weak value amplification effect.

An atmospheric particle scattering detection method for a photoelectric scattering detection instrument. A modulation frequency far greater than a wing flapping frequency of a winged insect is used to modulate a light source; then, a variable coefficient is extracted from an acquired scattered light sampling sequence from a statistical perspective, so as to detect whether there is foreign matter in a sampling space, and wave crest extraction operations in two dimensions of a frequency domain and a time domain are combined to identify different foreign matter types including a winged insect and a precipitation particle, such that when there is foreign matter in the sampling space, different processing can be performed on an inversion result of a scattered light sampling sequence within the current detection period, so as to obtain a relatively accurate atmospheric particle scattering detection result, thereby facilitating an improvement in the accuracy and reliability of atmospheric particle scattering detection.

The application provides a laser radar-based aerosol-cloud droplet conversion stage identification method. The method provided by the application: obtaining echo signals of a main channel, a depolarization channel and a molecular channel; calculating particle scattering ratios and particle depolarization ratios according to the echo signals and an atmospheric molecule scattering model; counting samples of the particle scattering ratios and the particle depolarization ratios in an identification domain, determining a joint probability density distribution of the particle scattering ratios and the particle depolarization ratios based on a two-dimensional sample set, and generating a joint probability density scatter plot; setting a joint identification criterion according to microphysical process characteristics of each stage of aerosol-cloud droplet conversion, and identifying the aerosol-cloud droplet conversion stage according to the particle scattering ratios, the particle depolarization ratios and the joint identification criterion. The laser radar-based aerosol-cloud droplet conversion stage identification method provided by the application realizes dynamic and fine identification of a cloud formation stage.

The invention provides an aerosol-cloud droplet conversion stage identification method based on a laser radar. The method provided by the invention comprises the following steps: acquiring echo signals of a main channel, a depolarization channel and a molecular channel; calculating a particle scattering ratio and a particle depolarization ratio according to the echo signal and an atmospheric molecular scattering model; counting samples of the particle scattering ratio and the particle depolarization ratio in the identification domain, determining joint probability density distribution of the particle scattering ratio and the particle depolarization ratio based on the two-dimensional sample set, and generating a joint probability density scatter diagram; a combined identification criterion is set according to the microscopic physical process characteristics of each stage of aerosol-cloud droplet conversion, and the aerosol-cloud droplet conversion stage is identified according to the particle scattering ratio and the particle depolarization ratio in combination with the combined identification criterion. According to the aerosol-cloud droplet conversion stage identification method based on the laser radar, dynamic and fine identification of the cloud formation stage is realized.

This invention discloses a method for intelligent recognition and deployment of multiple targets underwater based on lightweight YOLOv8, belonging to the field of intelligent recognition technology for multiple targets underwater. It involves constructing an underwater multi-target recognition image dataset; obtaining a trained color-aware lightweight YOLOv8 detection model; generating enhanced underwater optical images and global color bias vectors; outputting shallow high-resolution feature maps that preserve the geometric details of small targets, and deep low-resolution feature maps containing target semantic information; generating shallow and deep color bias embedding feature maps; generating a noise-resistant fusion feature map set; generating target category probabilities and target bounding box prediction results; and achieving real-time recognition and localization of multiple targets underwater. This invention effectively reduces the impact of suspended particle scattering, background flickering textures, and local optical noise on target detection, improving the robustness of underwater multi-target detection in turbid water environments.

A method for determining airborne concentrations of an ensemble of particulate matter below the size fraction 2.5 μm in aerodynamic diameter (PM2.5). The method is to be composed of a sharp cut PM2.5 cyclone, optical sensor capable of producing scattering coefficients dependent on particle size, temperature and humidity sensors for adapting to changes in the environment, and a processing system for applying logic-based algorithm to convert raw sensor values into PM concentrations. The optical sensor is a dual wavelength integrating nephelometer capable of yielding particle characteristic scattering coefficients at two wavelengths. The particle scattering ratios between two wavelengths are used in conjunction with temperature and humidity in the method's algorithm to reduce particle growth bias and to ultimately yield PM2.5 concentrations.