135 results about "Particle analysis" patented technology

The invention relates to the technical field of particle analysis, in particular to a cyst particle analysis system based on an AI algorithm, and the system comprises a particle image screening module, a boundary feature module, a structure deduction module, a particle recognition module and a performance analysis module. According to the method, the gray contrast and edge change rate analysis is carried out on an encapsulated lubricant image frame sequence in a liquid or semi-solid state to realize accurate positioning of a particle target area, an edge angle continuous change slope sequence is utilized to determine a particle structure boundary sudden change position, and the particle structure edge is deduced according to a boundary trend continuous behavior. The method comprises the following steps: accurately establishing a closed structure path, identifying an adhesion region, carrying out decoupling division on particles by using included angle range and direction consistency indexes, determining the boundary contour of the particles, rapidly and accurately marking a structure dissimilatory aggregation region through the area pixel number and gray gradient characteristics of a structure unit, and improving the particle structure identification precision. And the misjudgment risk caused by particle overlapping and adhesion is reduced.

The invention discloses an intelligent soil classification automation system and method. Comprising a soil sample pretreatment module used for air drying, stirring and weighing treatment; the soil sample particle size grading screening module is used for carrying out step-by-step screening treatment to obtain a first-stage particle distribution result; the liquid-plastic limit automatic measurement module is used for performing measurement by using a conometer method to obtain a measurement result of the conometer method; the burning measurement module is used for carrying out burning treatment to obtain a corresponding burning measurement result; the densimeter measurement module is used for carrying out particle analysis through a densimeter method to obtain a second-stage particle distribution result; and the control analysis module is used for realizing automatic control of the intelligent soil classification automation system and performing data analysis to obtain the soil sample type and the corresponding optimal solidification method. According to the system disclosed by the invention, the whole-process automation and data processing of soil classification testing are realized, and the soil sample type and the corresponding optimal solidification method can be automatically obtained.

The invention relates to the technical field of flour equipment, in particular to a fault monitoring and diagnosing method and system for flour processing equipment. Comprising the following steps: S1, collecting electrostatic data in equipment operation through a field grinding type electrostatic sensor, and synchronously obtaining humidity data through a capacitive humidity sensor; calculating the charge cumulant of each link based on a charge accumulation formula; and S2, constructing a fault monitoring sequence based on the static data and the humidity data, extracting time sequence characteristics of a charge marking sequence, inputting the time sequence characteristics into the pre-trained LSTM model for classification, and generating an equipment state characteristic signal. According to the invention, electrostatic monitoring, humidity regulation and control and particle analysis are fused, and equipment fault diagnosis and quality optimization are realized; abnormality is accurately recognized based on charge classification and a dynamic threshold value, humidity balance particle fineness and electrostatic suppression are synchronously and adaptively adjusted, the false alarm risk is reduced in combination with a dynamic feedback mechanism, and a reliable intelligent solution is provided for complex working conditions.

A measurement spectrum obtained by irradiating a particle labeled with a plurality of fluorescent dyes with excitation light is separated for each fluorescent dye with high accuracy. Provided is a particle analysis system (1) including a plurality of photodetectors (23) configured to acquire light generated by irradiating a particle labeled with a plurality of fluorescent dyes with excitation light; and an information processing unit (132) configured to calculate fluorescence intensity of each fluorescent dye by performing separation processing on a measurement spectrum based on measured values from the plurality of photodetectors (23) with a single staining spectrum of each fluorescent dye, in which the separation processing is performed by using a weighted least squares method (WLSM) including a weight determined based on a variation in the measured values.

The invention provides a low-energy particle analysis system with an autonomous number identification function, which comprises a low-energy ion analyzer and a low-energy electronic analyzer, and the two analyzers respectively adopt the same FPGA control program; component grouping measurement is added in the FPGA design and is used for realizing multi-component detection in unit measurement time; an instrument number interface is added in the interfaces and is used for reading the level of the instrument number interface; a number identification and control module is added and used for identifying the current instrument type and generating instrument identification parameters; the parameter acquisition module is used for acquiring engineering parameters of different paths when an instrument is a low-energy ion analyzer or a low-energy electronic analyzer; the control module is used for controlling and receiving an instruction conforming to equipment where a current FPGA configuration item is located; and the control module is also used for controlling to output a data packet conforming to the equipment where the current FPGA configuration item is located. According to the system provided by the invention, the same FPGA executable code is programmed on two different devices, namely the low-energy ion analyzer and the low-energy electronic analyzer, so that FPGA configuration item self-adaption is realized.

The invention discloses a particulate matter analysis system and method based on a laser radar and a visual image, relates to the technical field of environment monitoring, and solves the technical problem that in the prior art, different influence degrees of multi-source parameters on particulate matter analysis are not considered, so that the accuracy and efficiency are low during particulate matter analysis. Inputting the environment data into an equipment parameter adjustment model to obtain equipment adjustment parameters; obtaining the adjusted double-point cloud data and the multi-spectral image based on the equipment adjustment parameters, and generating fusion data according to the adjusted double-point cloud data and the multi-spectral image; a particulate matter analysis result is generated according to the fusion data, the double-point cloud data and the multispectral image, the fusion data is obtained from the adopted multi-source parameters in a self-adaptive weight fusion mode, and meanwhile it is considered that source data before fusion has richer feature information than the fusion data in the aspect of expression of some features; the degree of influence of the three parameters on particulate matter analysis is dynamically adjusted, and the accuracy of particulate matter analysis results is improved.

A method for determining dynamic strength of loess through average particle size and macropore ratio comprises the following steps: sampling and determining basic physical properties of a soil sample, preparing an artificial structural loess sample, determining loess n, # imgabs0 # under a microstructure, and determining the dynamic strength of the loess according to the average particle size and the macropore ratio. The method comprises the following steps: establishing a three-dimensional model of dynamic characteristics and a microstructure of loess under the action of a dynamic load by utilizing a particle analysis test and a mercury injection test, and fitting a loess sample n, # imgabs1 # formula; fitting a relation formula, establishing a model, and fitting a dynamic internal friction angle, dynamic cohesion, average particle size and macropore proportion formula through data; and finally, measuring the dynamic strength of the loess, and performing simple qualitative verification on the dynamic strength index of the loess by using the neural network according to the given data in the step 4 and adopting the Moire-Coulomb strength theory. The test precision and efficiency are improved.

The embodiment of the invention provides a spectrum detector and a particle analyzer, the spectrum detector comprises a base station, an optical module, a control module and a temperature control module, the optical module comprises a side scattering optical assembly and at least one photoelectric conversion module; the control module is electrically connected with the side scattering optical assembly and the photoelectric conversion module. The temperature control module comprises a temperature control assembly and a cooling fin, the cooling fin is connected with the base station, the temperature control assembly is arranged in the base station and electrically connected with the control module, one end of the temperature control assembly abuts against the bottom side of the photoelectric conversion module and the bottom side of the side scattering optical assembly, and the other end of the temperature control assembly is in heat conduction communication with the cooling fin; and the optical module, the base station and the radiating fin are sequentially arranged along the top-bottom direction of the spectrum detector. According to the spectrum detector, an up-down layered design is formed, each part is clear in structure, interference cannot be caused, the integration level is high, the temperature control assembly is in direct contact with the photoelectric conversion module and the side scattering optical assembly, heat is dissipated through the cooling fins, accurate temperature control can be carried out, and the detection stability is improved.

The present disclosure relates to an optical detection device, a particle analysis system, and a particle analysis method, the optical detection device comprising: a light source assembly configured to generate a detection light beam; the polarization separation assembly and the light source assembly are oppositely arranged relative to the working plane; the polarization separation assembly is configured to divide an imaging light beam generated by interaction of the detection light beam and the sample to be detected into a first imaging light beam transmitted along a first light path and a second imaging light beam which is transmitted along a second light path and has a second polarization direction; the first light detector is arranged on the first light path, and the first light detector is configured to generate a first imaging image based on the first imaging light beam; and the second light detector is arranged on the second light path, and the second light detector is configured to generate a second imaging image based on the second imaging light beam.

The invention discloses a riverbed sediment particle analysis method and a related device, and relates to the technical field of hydraulic engineering and sediment testing.The method comprises the steps that firstly, the light intensity penetrating through a preset plane at each moment in a plurality of moments in the riverbed sediment sample sedimentation process is obtained; the preset plane is any one of the horizontal planes except the highest horizontal plane and the lowest horizontal plane in a sample container filled with the riverbed sediment uniformly-mixed suspension, riverbed sediment with different particle sizes in the riverbed sediment sample settles to the preset plane at different settling speeds, and for each particle size, based on the light intensity penetrating through the preset plane at each moment, the light intensity of the riverbed sediment in the riverbed sediment sample is calculated. Calculating to obtain the percentage of the sand weight smaller than the particle size, based on each particle size and the percentage of the sand weight smaller than the particle size, obtaining the grain composition and the grain composition curve, and further calculating the vertical line average grain composition, the section average grain composition and the section average particle size. According to the method, the particle analysis of the riverbed sediment can be accurately completed.

The invention provides a method for rapidly detecting micro-plastics based on a micro-Raman spectrum, and belongs to the technical field of environmental pollution detection. The method comprises the following steps: dispersing a single layer of a particle sample on a filter membrane, dividing a to-be-detected filter membrane into Raman spectrum detection sub-regions, and performing full-automatic splicing by using a high-precision electric loading platform to generate a Mongolia microscopic image of the detection sub-regions; checking and calibrating the coordinate positioning error of the loading platform through a real-time video window; a Raman automatic particle analysis system is adopted to directionally obtain a target particle characteristic spectrum, and a standard spectrum database is combined to carry out qualitative and quantitative analysis on substances; and calculating the micro-plastic content distribution of the whole membrane through a regional proportion quantitative extrapolation method. According to the method, an extrapolation detection algorithm based on uniform distribution of the micro-plastics is established, efficient and rapid detection of the micro-plastics with small particle sizes in the environment can be realized, meanwhile, the method also has good applicability to the micro-plastics with large particle sizes, has relatively high detection precision, is accurate and reliable, is simple to operate, and improves the intelligent level of micro-plastic detection.

The invention relates to the technical field of fluid dynamic testing, in particular to a multiphase jet flow characterization system and method.The system comprises a control unit, a particle image velocity measurement unit, a phase Doppler particle analysis unit, a laser Doppler velocity measurement unit and a planar laser-induced fluorescence unit, and the particle image velocity measurement unit, the phase Doppler particle analysis unit, the laser Doppler velocity measurement unit and the planar laser-induced fluorescence unit are connected with the control unit; the particle image velocity measurement unit is used for measuring a macroscopic velocity field; the phase Doppler particle analysis unit is used for measuring microdynamics information; the laser Doppler velocity measurement unit is used for measuring a velocity profile; the planar laser-induced fluorescence unit is used for measuring a concentration field of a target component in the multiphase jet flow; the control unit is used for receiving measurement results of all the units, conducting fusion processing on the measurement results and outputting characterization results. The multi-phase jet flow can be comprehensively represented, multi-dimensional physical information can be synchronously obtained, and the solid-liquid-gas interphase coupling and phase change mechanism of the multi-phase jet flow can be accurately revealed.

A particle analysis device includes: an acquiring unit to acquire a multi-viewpoint image obtained by synthesizing captured images of a lens array on which an image of light from a particle irradiated with light are formed via a main lens, the captured images being captured simultaneously from mutually different viewpoints by a plurality of cameras; a sensing unit to sense a light intensity pattern of scattered light scattered from the particle on the basis of the multi-viewpoint image acquired; an analyzing unit to analyze a scattering solid angle of scattered light relative to an optical axis of the main lens as a center on the basis of the light intensity pattern of the scattered light sensed; and a calculating unit to calculate a molecular weight and particle size of the particle on the basis of the scattering solid angle of the scattered light analyzed.

The present disclosure provides apparatuses, systems, and methods for performing particle analysis through flow cytometry at comparatively high event rates and for gathering high resolution images of particles.

A computer-implemented method for characterizing a heterogeneous material comprising dispersed components, particularly particulate components, dispersed within a continuous phase of a condensate comprises the steps of: a) providing or selecting a sample of the heterogeneous material to be analyzed; b) acquiring at least one digital image of the sample by a camera of a computing device, particularly a mobile computing device, or by a camera connected to a computing device, particularly a mobile device, and / or by reading into the computing device at least one digital image previously recorded by a stand-alone camera; and c) determining the following characteristics: size parameters, particularly granularity parameters, shape parameters, and the like, determined by image analysis in the at least one digital image. performing image analysis, in particular image particle analysis, of at least one digital image to extract one or more of the following characteristics: particle shape parameters, in particular particle distribution, orientation parameters, in particular particle orientation parameters, surface parameters, in particular particle surface parameters, roughness parameters, in particular particle roughness parameters, packing density, uneven distribution parameters, color, and / or area fraction of components, in particular particulate components; and / or area fraction of continuous phases identified by image analysis in the at least one digital image; d) making one or more of the extracted characteristics in step c) available via a user interface, via a machine interface, and / or on a data storage medium.

The invention provides a batch production process of a marine matrix in a naked spot repairing area of a seaweed bed, and belongs to the field of ecological restoration of the seaweed bed, and the batch production process comprises the following steps: S1, sampling the marine matrix in the naked spot repairing area and carrying out a particle analysis experiment; s2, marine matrix outsourcing soil source detection and purchase; s3, screening and mixing an outsourcing soil source; s4, sampling and detecting the mixed marine matrix; and S5, bagging and storing. The marine matrix batch production process provided by the invention is simple and easy to implement, has low operation requirements, can reconstruct a matrix environment suitable for the sea grass bed in a sea grass bed bare board repair area, and provides a good matrix source for large-scale repair of sea grass in the sea grass bed bare board repair area.

The invention provides a soil particle analysis device and method. The device comprises a workbench, a visual recording assembly, a synchronous driving component and a positioning plate, a turntable is arranged on the upper side of the workbench and is connected with a rotation driving component; a plurality of through holes are formed in the rotating disc, a settling cylinder is inserted into each through hole, and a lifting adjusting component is further arranged on the rotating disc; the visual recording assembly is arranged on the outer side of the rotary table and faces one of the settling cylinders; the synchronous driving component is arranged on the lower side of the turntable and is used for being connected with or separated from the plurality of settling cylinders along with lifting of the settling cylinders; the positioning plate is connected to the workbench through an adjusting structure, and the positioning plate is further provided with a plurality of spoilers corresponding to the settling cylinders one to one. According to the soil particle analysis device and method provided by the invention, a plurality of groups of samples can be analyzed at the same time in a manner that the plurality of spoilers are respectively inserted into the plurality of sedimentation cylinders and the plurality of sedimentation cylinders are driven to synchronously rotate, so that the soil particle analysis efficiency and accuracy are ensured.

The utility model discloses a building foundation soil particle analysis and detection device for engineering supervision, and belongs to the field of building construction.The building foundation soil particle analysis and detection device comprises a frame and a motor, four feeding pipes are fixedly installed on the inner wall of the frame, a power output shaft of the motor is fixedly connected with a rotating rod, and a connecting plate is fixedly installed on the outer edge of the rotating rod; a convex groove is formed in the top of the connecting plate, a convex block is connected to the inner wall of the convex groove in an inserted mode, a screening bin is fixedly installed on the outer side of the convex block, a discharging pipe fixedly communicates with the bottom of the screening bin, and a control valve is rotationally installed on the inner wall of the discharging pipe. By arranging the screening bin, the discharging pipe, the electronic weighing bin, the vibration motor and the filter screen, automatic detection is achieved, the detection time is remarkably shortened, manual intervention is reduced, the operation difficulty is lowered, the detection efficiency and accuracy are improved, the overall design is compact, carrying is easy, the device is particularly suitable for rapid detection on a construction site, and the working efficiency is greatly improved.

The present application discloses a method for distinguishing particle communities, a particle analysis device, and a storage medium. The method includes: obtaining a particle characteristic distribution histogram; wherein, the first-direction coordinate of the particle characteristic distribution histogram is a channel representing particle characteristics, and the second-direction coordinate of the particle characteristic distribution histogram is the number of particles; determining a particle intersection region in the particle characteristic distribution histogram; determining a reference line located within the intersection region, wherein the reference line extends along the first direction; generating a corresponding flipped histogram according to the particle characteristic distribution histogram and the reference line; and determining the boundary line of the particle community according to the flipped histogram to distinguish the particle communities. In this way, different particle communities can be stably and accurately distinguished.

The invention relates to a particle analysis system, an information processing method, and a computer readable storage medium. A particle analysis system includes: a light detector that acquires light generated by irradiating particles with excitation light; and an information processing unit that outputs a spectrogram including spectral information of an autofluorescence population specified in a two-dimensional map of measurement data, each measurement data corresponding to the acquired light, and spectral information of the measurement data corresponding to the autofluorescence population specified in the two-dimensional map. And the information processing unit records spectral information of the autofluorescence population as an autofluorescence reference spectrum in the fluorescence separation process.

The present application discloses a method and system for SEM image particle size analysis based on a visual macro model, relating to the field of image recognition technology. The method comprises: acquiring an SEM image and automatically identifying the scale of the SEM image to obtain the actual length and pixel length of the scale, as well as the actual length of each pixel; collecting an SEM image set containing particle features, annotating the particles in the SEM image set, and constructing an SEM image training set and an SEM image test set based on the annotation results; constructing a visual macro model and fine-tuning the visual macro model using the SEM image training set; using the fine-tuned visual macro model to infer the SEM image test set to obtain particle segmentation results; and calculating the attributes of each segmented particle based on the actual length of each pixel for particle size analysis. This solution improves the efficiency, accuracy, and consistency of particle analysis, and meets the needs for efficient and accurate analysis of microscopic particles.

The present disclosure provides apparatuses, systems, and methods for performing particle analysis through flow cytometry at comparatively high event rates and for gathering high resolution images of particles.

For analyzing a sample containing particles of at least two categories, such as a sample containing blood cells, a particle counter subject to a detection limit is coupled with an analyzer capable of discerning particle number ratios, such as a visual analyzer, and a processor. A first category of particles can be present beyond detection range limits while a second category of particles is present within respective detection range limits. The concentration of the second category of particles is determined by the particle counter. A ratio of counts of the first category to the second category is determined on the analyzer. The concentration of particles in the first category is calculated on the processor based on the ratio and the count or concentration of particles in the second category.

The application discloses a method for distinguishing particle populations, a particle analysis device and a storage medium. The method comprises the following steps: obtaining a particle characteristic distribution histogram; wherein the first direction coordinate of the particle characteristic distribution histogram is a channel representing a particle characteristic, and the second direction coordinate of the particle characteristic distribution histogram is a particle quantity; determining a left boundary in the particle characteristic distribution histogram, and determining a right boundary based on a maximum particle quantity within a preset channel range on the right side of the left boundary, and determining a particle intersection area based on the left boundary and the right boundary; determining a reference line located in the intersection area; generating a corresponding flipped histogram according to the particle characteristic distribution histogram and the reference line; and determining a demarcation line of the particle population according to the flipped histogram, so as to distinguish the particle population. In this way, different particle populations can be distinguished stably and accurately.

This invention discloses a flow cytometer for aggregate particle analysis that enhances the scattering of small particles by tilt angle, comprising a fluid flow system, an optical system, and a control system. The optical system includes an excitation optical path, a forward detection optical path, and a lateral detection optical path. The excitation optical path includes a first laser, a second laser, a reflector, and a quartz cup detection cell. The reflector is used to reflect the first laser beam directly emitted by the first laser. The forward detection optical path includes a forward divergence lens group, a forward divergence bandpass filter, and a forward divergence detector arranged in sequence. The lateral detection optical path includes a lateral objective lens, multiple dichroic mirrors, an SSC filter and an SSC detector, and a VSSC filter and a VSSC detector. This invention utilizes tilt angle scattered light signals to extend the detection capability of existing flow cytometers for smaller submicron particles, further advancing the existing 200nm particle size detection limit to the 80nm particle size range.

A particle analysis system comprising: a light detector that acquires light generated by irradiating a particle with excitation light; and an information processing unit that outputs a spectral plot including spectrum information of an autofluorescence population specified in a two-dimensional plot of measurement data each of which corresponds to the acquired light and spectrum information of the measurement data and that records the spectrum information of the autofluorescence population as an autofluorescence reference spectrum in a fluorescence separation process.

A particle analysis device (100) comprises: a light source that emits excitation light (EL1) including light with wavelengths of 400 nm or less; a lens structure (41) that concentrates the excitation light (EL1) onto a predetermined position (51s) in a flow path (53); a detection unit (7) that detects light (FL) radiated from a particle (51) flowing through the predetermined position by the particle being excited by the excitation light (EL1); and a processing unit (120) that processes detection data acquired by the detection unit (7). The lens structure (41) comprises a plurality of lenses (411) arranged along the optical axis of the excitation light (EL1), and a lens frame (412) that holds the plurality of lenses (411), and the position within the lens frame (412) of at least one lens (G12) among the plurality of lenses (411) is determined by the one lens being brought into contact with a lens adjacent thereto.

The present technology is to provide technology for appropriately visualizing a population of particles in particle analysis technology.There is provided an information processing apparatus including an information processing unit that receives optical data obtained from particles, and calculates a parameter that specifies a display method of the optical data in a display range having at least one axis including a linear axis and a logarithmic axis on the basis of the received optical data, in which the parameter includes a first parameter that specifies a range of the linear axis and a second parameter that specifies a lower limit value of the display range, and the first parameter and the second parameter are calculated on the basis of different reference values.

Methods for determining parameters of particles in a flow stream from scattered light (e.g., in a particle analyzer of a flow cytometer) are described. Methods according to certain embodiments include illuminating particles in a flow stream with a frequency-modulated laser beam modulated at a reference frequency, detecting scattered light from the particles with a photodetector, generating a frequency-encoded data signal from the detected scattered light, synchronizing the frequency-encoded data signal to the reference frequency, and determining one or more parameters of the particles based on the synchronized frequency-encoded data signal. Systems for practicing the subject methods and non-transitory computer-readable storage media having instructions for practicing the subject methods are also provided.

This application provides a low-energy particle analysis system with autonomous numbering and identification capabilities, including a low-energy ion analyzer and a low-energy electron analyzer, both of which utilize the same FPGA control program. The FPGA design incorporates component grouping measurement to achieve multi-component detection within a unit measurement time. An instrument number interface is added to the interface for reading the instrument number interface level. A numbering identification and control module is added to identify the current instrument type and generate instrument identification parameters. This module is used to acquire different numbers of engineering parameters when the instrument type is either a low-energy ion analyzer or a low-energy electron analyzer. It also controls the reception of commands from the device corresponding to the current FPGA configuration and controls the output of data packets corresponding to the current FPGA configuration. This system programs the same FPGA executable code onto both the low-energy ion analyzer and the low-energy electron analyzer, achieving FPGA configuration adaptiveness.