16 results about "Particle sampling" patented technology

The utility model relates to the technical field of pebble bed type high-temperature gas cooled reactors, in particular to a spherical particle sampling device, which comprises particle feeding equipment, a sampling device and a sampling device, the stock bin is connected with the particle feeding equipment and is used for storing to-be-sampled spherical particles; the feeding mechanism communicates with the stock bin and is used for changing the feeding speed of the stock bin by adjusting the vibration frequency; the material distributing mechanism is connected with the feeding mechanism and is used for uniformly dividing and moving the to-be-sampled spherical particles; the sampling mechanism comprises a material distributing cover plate device and a material collecting and sampling device, the material distributing cover plate device is connected with the material distributing mechanism, the material distributing cover plate device is connected with the material collecting and sampling device, and the material collecting and sampling device is used for collecting the uniformly divided to-be-sampled spherical particles by ascending or descending the material distributing cover plate device. Therefore, the problem that existing equipment cannot meet the requirement for rapid sampling of large-flux spherical particles and the like is solved.

A fine particle sampling device (10) includes: a first electrode (22) that is cylindrical, has a first opening at a first end in an axial direction of the cylinder and a second opening at a second end in the axial direction of the cylinder; a second electrode (24) that extends in the axial direction, is disposed in the first electrode with a space from an inner surface of the first electrode; a third electrode (25) that extends in the axial direction, is disposed in the first electrode with a space from the inner surface, is thicker than the second electrode, and is disposed at a different position in the axial direction than the second electrode; a supply portion (28) that supplies a liquid into the first electrode so that the liquid is stored on a portion of the inner surface of the first electrode in the axial direction; a voltage application portion (26) that applies a first voltage between the first electrode and the second electrode and applies a second voltage between the first electrode and the third electrode; a drive portion (32) that rotates the first electrode around a rotation axis that extends in the axial direction and passes through the first electrode; and a recovery portion (30) that recovers the stored liquid.

The application discloses a kind of vector particle filtering methods for ranging signal SLAM, comprising the following steps: running N groups of particle filters for N ranging signals, estimating signal source position and user positioning;Particle filter carries out filtering estimation, and the value of each particle is updated according to the motion model of user and signal source;The transient weight value of all particles of each group of particle filters is calculated;The transient mean and transient covariance of user positioning state and signal source position state in each group of particle filters are calculated respectively;The auxiliary mean and auxiliary covariance of each group of particle filters are calculated;Each group of particle filters is updated with joint weight: each group of particle filters calculates the local state quantity and local covariance of corresponding user positioning and signal source position;Resampling is carried out on each group of particle filters;Estimate N filters, output the state quantity and covariance of user positioning.This application can reduce the difficulty of particle sampling, improve the real-time performance of algorithm, and is suitable for practical engineering application.

The invention relates to the related technical field of sampling detection, in particular to an underwater particulate matter sampling detection device which comprises an underwater propeller, a sampling barrel for collecting underwater particulate matters and a filter box for filtering particulate matters in a sampled water source, and a swing sampling assembly for driving the sampling barrel to move is arranged at the top of the filter box. According to the underwater particulate matter sampling device, an arc-shaped limiting block in the swing sampling assembly is precisely embedded in a fixed arc-shaped limiting groove to move, and reciprocating swing of a connecting rotating shaft is ingeniously converted; the connecting rotating shaft drives the fan-shaped swing plate at the tail end of the connecting rotating shaft to regularly swing back and forth, and compared with a traditional static sampling point, the sampling barrel can sweep a certain fan-shaped area in a three-dimensional space through reciprocating swing, so that the space coverage range of single sampling is increased, and particulate matter samples in a larger-volume water body are effectively collected.

This invention discloses an AUV-UFastSLAM algorithm optimized based on the whale algorithm, comprising a series of processes including initialization, prediction, sampling, map updating, and resampling. This method optimizes the particle sampling process using the whale algorithm, enabling the particle swarm to move towards a high-likelihood region, making the AUV pose estimation closer to the true value. An inertia weight factor is introduced to improve the whale algorithm's position update formula, increasing the population convergence speed and accuracy. Simultaneously, Cauchy mutation is used to randomly perturb the optimal neighborhood to increase population diversity and improve the algorithm's global search capability. An improved resampling method is used for particle filtering to ensure particle diversity. Through these adjustments, the accuracy of AUV simultaneous localization and map creation is improved.

The invention discloses a plastic particle ash removal method and an ash removal device, and relates to the technical field related to dust cleaning.The method comprises the steps that plastic particle feature information is collected, plastic particle sampling detection is conducted, and dust feature information is obtained. And optimizing airflow separation parameters for airflow separation dust removal to obtain a plurality of optimized airflow separation parameters. And optimizing electrostatic dust collection parameters for electrostatic dust collection of the plastic particles to obtain a plurality of optimized electrostatic dust collection parameters, and predicting to obtain a plurality of final residual quantities after electrostatic dust collection. And combining the plurality of optimized airflow separation parameters, the plurality of electrostatic neutralization parameters and the plurality of optimized electrostatic dust collection parameters to obtain a plurality of ash removal parameter combinations, and selecting to obtain an optimal ash removal parameter combination according to the plurality of final residual quantities and the combined power consumption of the plurality of ash removal parameter combinations for ash removal. The technical problems that in the prior art, a plastic particle ash removal method is high in ash removal energy consumption, low in ash removal efficiency and poor in ash removal effect are solved.

Provided herein are systems and methods allowing for automated sampling and / or analysis of controlled environments, for example, to determine the presence, quantity, size, concentration, viability, species or characteristics of particles within the environment. The described systems and methods may utilize robotics or automation or remove some or all of the collection or analysis steps that are traditionally performed by human operators. The methods and systems described herein are versatile and may be used with known particle sampling and analysis techniques and particle detection devices including, for example, optical particle counters, impingers and impactors.

The invention relates to the technical field of particulate matter detection, in particular to a two-channel vehicle-mounted particulate matter detection device based on 90-degree scattering. The dual-channel vehicle-mounted particulate matter detection device based on 90-degree scattering comprises a shell, wherein an in-vehicle particulate matter detection air channel and an out-vehicle particulate matter detection air channel which are isolated from each other are formed in the shell; a particle sampling unit is arranged in each of the in-vehicle particle detection air duct and the out-vehicle particle detection air duct, each particle sampling unit comprises a laser emitter, a focusing lens, a diaphragm hole, a scattered light sensitive area and a photoelectric detector which are arranged along a light path, and the photoelectric detector is arranged in front of the side of the scattered light sensitive area; the scattering light is scattered by the scattering light sensitive area, and the scattering angle of the scattering light is 90 degrees. According to the dual-channel vehicle-mounted particulate matter detection device based on 90-degree scattering, the situation that detection of particulate matter inside and outside an automobile is affected by cross contamination of gas inside and outside the automobile can be avoided.

The invention provides a high-voltage cable micro-nano particle sampling detection device and method.The high-voltage cable micro-nano particle sampling detection device comprises a detection box, a box cover is hinged to the top of the detection box, two ventilation pipes fixedly communicate with the box cover, and a particle detector and a draught fan are installed on the two ventilation pipes respectively; a heating plate is fixedly mounted on the inner wall of the detection box; an upper through hole and a lower through hole are respectively formed in two sides of the detection box in a penetrating manner; a cable body penetrates through the upper through hole and the lower through hole; a supporting frame is fixedly arranged at the bottom of the detection box, and a rotating hole is formed in the bottom of the detection box; the rotating hole is rotatably connected with a rotating mechanism, and the rotating mechanism is used for rotating the cable body. The device can be used for sampling and detecting the micro-nano particles of the high-voltage cable so as to evaluate the insulation state of the high-voltage cable.

This invention belongs to the field of lithium battery raw material manufacturing technology, specifically relating to a lithium battery slurry mixing device. The device includes a mixing tank and an electric motor mounted on top of the mixing tank. A telescopic mechanism is installed on the top of the mixing tank, and a particle sampling device is connected to the bottom of the telescopic mechanism. Driven by the telescopic mechanism, the particle sampling device collects particulate matter from the lithium battery slurry in the mixing tank. This invention solves the problem of workers needing to pour out the slurry for testing and observation, simplifies the lithium battery slurry mixing operation, reduces labor time, and improves production efficiency.

The application discloses a kind of based on multi-sensor monitoring target fusion method and its device, electronic equipment, wherein the fusion method includes: the state estimation value of the target state of each monitoring target in the state estimation value of the target state of each monitoring target obtained in previous moment and the outline estimation value of target outline are particle sampling, obtain the weighted particle of the predicted measurement value of monitoring target in current moment, then the measurement data of each sensor is processed, obtain the current state estimation value and current outline estimation value of all monitoring targets corresponding to sensor in current moment, again screening target sensor set corresponding to each monitoring target, fuse the current state estimation value and current outline estimation value corresponding to each target sensor in target sensor set, obtain the target state value and target outline value of monitoring target in current moment.The application solves the technical problem that the state value and the outline value of monitoring target are calculated in the related art, and the timeliness is poor and the accuracy is low.

The application provides a real-time positioning and mapping method and system in a microgravity environment, and belongs to the field of real-time positioning and mapping of space intelligent flying robots. In order to solve the problems that the traditional RBPF-SLAM algorithm has a large weight, and that multiple sampling of a large number of particles leads to weakening of particle set diversity and sample depletion, and makes filtering estimation poor; or increasing the number of particles leads to a decrease in operation efficiency. The application optimizes the particle sampling process by using a Gaussian particle swarm, uses a particle set diversity measure as a search heuristic factor, and ensures that the group diversity level is optimal, which reduces particle degradation; movement of the particle set to a higher posterior probability area improves the estimation accuracy of the state and improves the convergence of the algorithm; the method provided by the application can obtain higher positioning and map construction accuracy with fewer particles, and achieve better filtering estimation stability.

The invention discloses an enclosed space fire hazard on-line monitoring and advanced early warning method, and relates to the technical field of power distribution room environment safety, and the method comprises the steps: collecting the particle information of each enclosed space through an optical sensor, and generating the particle sampling data of each enclosed space; performing feature extraction on the sampling data of each closed space particle to generate a corresponding closed space particle feature vector; according to the closed space fire hazard on-line monitoring and advanced early warning method, feature vectors of space particle sampling data are analyzed by using an isolated forest model, and a normal closed space particle feature baseline is dynamically updated based on the analyzed stable and normal closed space particle sampling data; therefore, it is ensured that the normal closed space particle feature baseline can be adjusted in real time according to factors such as working conditions and environments, the normal recognition precision is ensured, and the early warning precision is improved by setting the normal closed space particle feature baseline and the abnormal closed space particle feature baseline for comprehensive judgment.

The invention discloses a rare earth-containing mineral particle sampling device and method for geological exploration of rare earth ore in a deep coverage area, and belongs to the technical field of rare earth ore sampling. Wherein the sampling device comprises a feeding mechanism, a movable pipeline, a base pipeline, an air suction assembly, a chip mounting mechanism, a storage bin and a stacking mechanism, the storage bin is located at the bottom in a sampling shell, and the stacking mechanism is used for continuously stacking chip-mounted particle collecting films in the storage bin. According to the sampling device, the bottom storage bin is matched with the stacking mechanism to achieve longitudinal stacking of the samples, compared with an existing single-piece transverse tiling storage mode, transverse space is not occupied, the sampling device is suitable for narrow operation scenes, and the sample storage amount in the same sampling device size is larger; moreover, the feeding mechanism can continuously supply the particle collecting film downwards, and the stacking mechanism can continuously store the sealed sample, so that the sampling operation does not need to be frequently interrupted, and the exploration efficiency of the rare earth ore in the deep coverage area is effectively improved.

The application discloses a tracking method based on an interactive multiple model kernel Kalman filter, which comprises the following steps: step one: embedding: extracting proposal particles at the n-1 moment, and calculating a kernel weight mean vector and a covariance matrix; step two: prediction: the proposal particles at the n-1 moment are propagated through a dynamic state-space model to obtain prior state particles at the n moment, and a predicted kernel mean and a covariance matrix are calculated based on a kernel Kalman rule; step three: updating: measurement state particles are generated by taking the proposal particles at the n moment as a measurement model, and the kernel weight mean vector and the covariance matrix are updated; and step four: model fusion output: the model confidence is updated, different model results are fused, and the output of an interactive multiple model kernel Kalman filter (IMM-KKF) algorithm is obtained. The application can obtain high-precision tracking of a target trajectory under the condition of a small amount of particle sampling, and can adapt to the maneuvering characteristics of the target switching between a straight-line constant velocity (CV) and a coordinated turn (CT) and other multiple motion models.

The utility model discloses a feed particle sampling device for feed production, which comprises a working table and a grinding rod, the grinding rod is placed on the working table, a fence is arranged on the working table, the feed particle sampling device further comprises a support frame and a sampler, the support frame is mounted on the fence, the sampler is mounted on the support frame, and the grinding rod is arranged on the working table. The sampler comprises an electric mover, a connecting frame, a pushing assembly and a sampling assembly, the electric mover is arranged on the supporting frame, the connecting frame is arranged at the output end of the electric mover, the pushing assembly is arranged on the connecting frame, and the sampling assembly is arranged on the pushing assembly. The utility model relates to the field of feed production sampling detection, in particular to a feed particle sampling device for feed production.