12833 results about "Aerosol Solution" patented technology

A method and a system for reconstructing aerosol chemical components based on CNN-BiLSTM-BO, including collecting multi-source environmental observation data through observation equipment, preprocessing and extracting key characteristic variables. The pre-treated multi-source environmental observation data are input into the CNN-BILSTM model for feature analysis, and the CNN-BiLSTM hyperparameters are adjusted by Bayesian optimization algorithm to generate a reconstructed model of aerosol chemical components. After verifying the performance and stability of the reconstructed model, the predicted results of the chemical components of the aerosol are output. On the basis of not relying on traditional chemical analysis technology, the invention can accurately reconstruct various aerosol chemical components, greatly reduce the cost and time of chemical analysis, effectively solve the problems of variable inconsistency, data missing, and spatio-temporal mismatch in multi-source observation data, and automatically adjust hyperparameters through Bayesian optimization algorithm to ensure that the output prediction results are more accurate.

The present invention includes a spray drying disposable device for use in a spray drying system. The disposable has a spray drying head and a plasma drying chamber. The head has a spray dry nozzle assembly in fluid communication with the plasma source and the pressurized aerosol gas source. The pressurized gas flows in a vortex pattern that atomizes plasma droplets in the chamber. The head also includes a plenum has uniform air pressure of the drying gas. A baffle plate forms the floor of the plenum having drying gas jets that supply drying gas to the chamber. The atomized plasma droplets evaporate in the presence of the drying gas emitted from the jets to obtain dried plasma particles and humid air. A capture filter captures the dried plasma particles and allows the humid air to pass. The humid air passes through the gas outlet and the exhaust port.

At least one example embodiment provides a system for controlling a heater in a non-combustible aerosol-generating device, the system comprising a memory storing computer-readable instructions and a controller configured to execute the computer-readable instructions to cause the non-combustible aerosol-generating device to apply a first power to the heater based on a first preheat temperature determine an estimated energy applied to the heater during application of the first power, and apply a second power to the heater based on the estimated energy, an energy threshold and a second preheat temperature, the second power being less than the first power.

A gas-liquid contactor for capturing carbon dioxide (CO2) from atmospheric air includes an inlet; an outlet; a gas-sorbent interface disposed between the inlet and the outlet; a liquid distribution system configured to flow a CO2 capture solution along the gas-sorbent interface; a fan configured to flow the atmospheric air along a flow path from: the inlet, along the gas-sorbent interface, and to the outlet, to contact the atmospheric air with the CO2 capture solution and absorb CO2 from the atmospheric air into the CO2 capture solution to form a CO2-lean gas stream; and an electrostatic drift eliminator within the flow path downstream of the gas-sorbent interface and upstream of the outlet. The CO2-lean gas stream includes aerosols of the CO2 capture solution. The electrostatic drift eliminator is configured to ionize at least some of the aerosols of the CO2 capture solution to form ionized aerosols and collect the ionized aerosols.

The invention relates to the technical field of intelligent fire safety linkage control, in particular to an intelligent locking linkage control system and method based on fire monitoring, and the system comprises an acquisition module, a modeling module, a simulation engine module, a decision center module and an execution module. The acquisition module acquires physical quantity data of a key area of a building, wherein the physical quantity data comprises high-temperature radiation spectrum offset, aerosol particle swarm distribution characteristics and local heat convection intensity. The modeling module generates an environmental interference confidence index through convolutional neural network fusion features, and starts an incremental clustering algorithm to update an interference knowledge base when the confidence is insufficient. And the execution module dynamically compresses the delay window according to the risk map, and triggers a cross-level linkage mechanism through a people flow density threshold. And the environment sampling frequency adjustment coefficient is fed back to the acquisition module, the execution state data reverse drive modeling module iteratively updates the knowledge base, a Bayesian optimizer is combined to screen high-value characteristics to reconstruct simulation parameters, and full-link closed-loop learning and continuous evolution of the false alarm suppression capability are realized.

The invention relates to the technical field of data processing, and discloses an incremental clustering method and system for an atmospheric aerosol particulate matter mass spectrum data set, a terminal and a storage medium, and the method comprises the steps: obtaining the atmospheric aerosol particulate matter mass spectrum data set, and carrying out the clustering initialization processing, and obtaining a plurality of clustering initialization parameters; determining a target cluster selection strategy, and performing first similarity calculation and cluster allocation processing on the plurality of cluster initialization parameters to obtain a plurality of cluster center matrixes; performing merging processing and de-noising processing on the plurality of cluster center matrixes to obtain an initial clustering result, and performing second similarity calculation to obtain an iterative similarity; and performing clustering convergence judgment and iterative loop clustering processing on the initial clustering result, and outputting a clustering result of the atmospheric aerosol particulate mass spectrum data set. According to the method, the inter-cluster mixing condition in the clustering analysis process of the atmospheric aerosol particulate matter mass spectrum data set can be remarkably reduced, and the accuracy of clustering result output is ensured.

The invention provides a food heavy metal pollution detection system based on plasma emission spectrum analysis, and aims to realize rapid and accurate detection of heavy metal elements in a food sample. The system comprises a sample processing module, an excitation module, a spectrum detection module, a signal processing module, a data analysis module and an output module. The sample processing module converts a food sample into an aerosol or steam state. The spectrum detection module is used for extracting spectrum characteristic information of heavy metal elements. And the signal processing module adopts an AI-driven spectrum denoising algorithm to remove background noise and interference signals. And the data analysis module calculates the concentration of each element based on the characteristic peak intensity and generates heavy metal pollution data. And the output module is used for visually displaying the detection result. According to the method, complex sample pretreatment steps are reduced, the detection efficiency and sensitivity are improved, and the method is suitable for food safety detection scenes and particularly has remarkable advantages in field rapid detection application of agricultural products, drinking water and processed food.

A nasal spray device comprises a non-pressurized reservoir for containing a liquid formulation; a spray nozzle; and a manually energizable pump, configured to pressurize a quantity of said liquid formulation and causing the liquid formulation to move through the spray nozzle such that the liquid formulation is discharged from the spray nozzle as an aerosol spray. The spray nozzle comprises a membrane having a plurality of micropores of a substantially identical size below 8 micron and beyond 3 micron through which the liquid formulation passes as the liquid formulation is discharged from the device. Said membrane is configured to release said dose of said liquid formulation in a period of at least 500 milliseconds as a conically shaped plume having an apex. An energy of less than 20 Joule / gram is being dissipated in the liquid to preserve the molecular integrity of macromolecules within the liquid.

The invention provides a device and method for removing aerosol based on a charged spraying coupling pool washing mechanism, and belongs to the field of nuclear auxiliary systems. The problem that radioactive aerosol particles generated when a radioactive contamination structure in a reactor is cut underwater can be released into the external environment is solved. Wherein the underwater laser cutting assembly is used for cutting a to-be-cut piece; the auxiliary gas chamber is communicated with the laser cutting nozzle; the aerosol charging assembly can enable aerosol particles generated by underwater laser cutting to carry negative charges; the baffle can gather the aerosol particles and guide the aerosol particles to the aerosol charging assembly; the liquid drop charged spraying assembly can spray liquid drops carrying positive charges, the liquid drops carrying positive charges and aerosol particles carrying negative charges can attract each other and fall to the liquid level, and the Venturi washing assembly can extract gas above the liquid level and spray the gas below the liquid level. The device can efficiently remove radioactive aerosol particles generated by cutting and disassembling radioactive contaminated components in a nuclear power plant, and radioactive contamination to the environment is prevented.

The invention provides a Raman-meter signal all-day laser radar ratio inversion method and device, and the method comprises the steps: carrying out the denoising of signal data of a Raman laser radar in a preset time period, and carrying out the inversion, and obtaining a first aerosol backscattering coefficient profile; applying a plurality of preset laser radar ratios to the inversion of the meter laser radar signal at the same moment to obtain a plurality of second aerosol backscattering coefficient profiles; taking the first aerosol backscattering coefficient profiles at the same moment as a reference standard, calculating a relative error average value of each second aerosol backscattering coefficient profile, and obtaining an optimal laser radar ratio corresponding to the minimum relative error average value; fitting the optimal laser radar ratio with the mean value of the aerosol depolarization ratio of the meter laser radar below the boundary layer height at the corresponding moment to obtain a relation curve; and substituting the mean value of the aerosol depolarization ratio at the current moment into the relation curve to obtain the laser radar ratio. According to the invention, the inversion precision of the aerosol laser radar ratio is improved.

The invention discloses a PM2.5 chemical component concentration vertical profile inversion model method and system based on an aerosol laser radar, and the method comprises the following operation steps: collecting 532nm aerosol data as an input feature through the aerosol laser radar, carrying out the preprocessing of the aerosol data, inputting the preprocessed aerosol data into a deep learning model, and obtaining a PM2.5 chemical component concentration vertical profile inversion model; the PM2.5 chemical component characteristics are output; performing convolutional nonlinear fitting on the aerosol data through a neural convolutional network, and performing optimization of an attention mechanism and a long-short-term memory neural network on the aerosol data after nonlinear fitting to obtain a deep learning model; and screening an optimal solution by the deep learning model through a Bayesian optimization algorithm and a fast non-dominated sorting genetic algorithm, and normalizing the deep learning model to obtain a PM2.5 chemical component concentration vertical profile inversion model.

An inductively heatable aerosol-generating article for an inductively heating aerosol-generating device is provided, including at least one aerosol-forming substrate and at least one susceptor in thermal proximity to the aerosol-forming substrate or thermal contact with the aerosol-forming substrate, the susceptor including an expanded metal sheet including a plurality of openings through the sheet. A method for manufacturing an inductively heatable aerosol-generating article is also provided. An apparatus for manufacturing a susceptor of an inductively heatable aerosol-generating article is also provided.

A recycling method comprises providing a receptacle for receiving at least articles of aerosol provision systems, receiving, by the receptacle, one or more articles, in response to the number of articles received by the receptacle meeting a storage limit, sending a notification to a recycling centre or to one or more devices associated with the recycling centre to indicate the receptacle has articles for collection, and sending the articles from the receptacle to the recycling centre.

The invention discloses a power distribution station multi-point environment control system and method, and relates to the technical field of power system automation, and the method comprises the following steps: building a time-frequency phase-locked observation baseline based on the scattering relation between an infrared band and water vapor under the condition of sudden humidity increase, inverting aerosol particle size distribution and concentration distribution, and generating a multi-dimensional scattering phase residual field; according to the multi-dimensional scattering phase residual field, a real radiation field is reconstructed by adopting multi-path reverse ray variation solution and combining polarization dual-angle scanning, and a reflection saturation risk spectrum is generated. According to the method, a real radiation field is reconstructed through multi-dimensional observation and inversion, a consistency graph is generated by fusing multi-source data, a misjudgment boundary is accurately identified, a control margin and a switching condition are constructed based on residual playback and time correction, and a steady-state closed-loop control chain is formed in combination with a dynamic regulation and control mechanism. The self-adaptive precise regulation and control of the power distribution station environment and the stability guarantee of the thermal field are realized.

The embodiment of the invention provides an aerosol product, a heat-not-burn system and a mold. The heat-not-burn system comprises the aerosol product and a heat-not-burn device. The aerosol product comprises a protective layer, the protective layer comprises vertical fiber structures arranged in the circumferential direction, the vertical fiber structures extend in the length direction of the aerosol product, and a piercing position allowing a heating tooth of a heating non-combustion device to pierce is formed between every two vertical fiber structures; the aerosol base material and the protective layer enclose an accommodating space, and the accommodating space is filled with the aerosol base material. By adopting the embodiment of the invention, the outer layer of the aerosol product is provided with the piercing position, so that the heating teeth easily penetrate through the aerosol product from the side surface and pierce into the aerosol product, the aerosol base material can be uniformly heated, and the heating efficiency can be improved.

The invention relates to the technical field of atmospheric correction and remote sensing, in particular to an aerosol optical thickness obtaining method and system, and the method comprises the steps: obtaining the high-frequency historical aerosol optical thickness of a target region through the inversion of historical multi-angle multi-band polarization data; performing space-time matching on the high-frequency historical aerosol optical thickness and historical data to obtain a training data set; and obtaining the high-frequency aerosol optical thickness of the target area by using the trained neural network model. According to the invention, through the inversion data of the multi-angle multi-band polarization data, the preset neural network model is trained with the geographic data, the meteorological data and the ground base station network data, the relationship between the geographic data, the meteorological data and the ground base station network data and the aerosol optical thickness is established, and a plurality of results are fused, so that the space-time coverage is improved, and the accuracy of the aerosol optical thickness is improved. The defects of a traditional aerosol optical thickness product in time and space continuity are effectively overcome.

An aerosol-generating device for generating aerosol from an aerosol-generating material including a housing and a heating assembly arranged in the housing for receiving aerosol-generating material, the heating assembly configured to heat aerosol-generating material received in the heating assembly, wherein at least a portion of the housing has a soft touch coating.

The invention discloses an intelligent laser testing method, which relates to the field of laser testing, and comprises the following steps: judging whether a laser has a fault or not by monitoring the fluctuation amplitude of optical power at the initial stage of starting a to-be-tested laser to emit a light beam; after the laser is not judged to have a fault, the influence of environment heat radiation or aerosol particles on the light beam is positioned by collecting temperature gradient distribution data of a light beam propagation path and combining with air particulate matter concentration data; and obtaining a light beam drift direction, a drift speed and energy uniformity on a light beam propagation path based on the light spot image, determining an abnormal position according to changes of the light beam drift direction, the drift speed and the energy uniformity, and associating the abnormal position with the temperature gradient and the particulate matter concentration in real time. The method effectively distinguishes the fault of the laser from the environmental interference, accurately locates the abnormal position on the beam propagation path, and determines the main environmental interference factors causing the dynamic quality degradation of the beam, thereby providing an accurate basis for the performance evaluation of the laser and the optimization of the application environment.

The invention provides an all-solid-state battery three-dimensional electrode preparation method based on aerosol jet printing, and the method comprises the following steps: constructing a three-dimensional porous frame by using a conductive skeleton material through an aerosol jet printing technology; depositing an active material and a solid electrolyte on the surface of the frame layer by layer to form a gradient distribution layer; generating an interface transition layer by adopting ultraviolet curing or rapid heat treatment; and in combination with a closed-loop feedback control system, deposition parameters are dynamically adjusted. A conductive active material and a solid electrolyte are uniformly distributed on the surface of a three-dimensional porous framework in a layer-by-layer deposition manner through an aerosol jet printing method, and the solid electrolyte and an electrode material form a close contact interface by accurately controlling a jet path, a nozzle diameter and a material deposition rate; the interface side reaction easily caused by traditional high-temperature sintering is eliminated, and the interface impedance is reduced; and furthermore, the transmission efficiency of the lithium ions at the interface is improved through an ultraviolet curing or rapid heat treatment process.

The invention relates to the technical field of laser radar meteorological detection, in particular to a wind field feature detection method and device based on a laser radar, and the method comprises the following steps: S1, controlling the laser radar to execute dynamic hierarchical scanning, and generating three-dimensional laser scanning data; s2, carrying out aerosol backscattering signal preprocessing on the three-dimensional laser scanning data; s3, extracting an aerosol motion vector of each range gate, and decomposing the aerosol motion vector into a horizontal wind field component and a vertical wind field component; s4, performing spatial gradient calculation to generate a spatial gradient distribution map; s5, respectively calculating a horizontal energy spectrum and a vertical energy spectrum; and S6, outputting wind field characteristic parameters. According to the invention, through fusion of the dynamic features of the laser radar point cloud, the wind shear space gradient and the energy spectrum analysis method, precise extraction of the turbulence intensity, the main energy scale and the three-dimensional vortex features is realized, and the accuracy and the spatial resolution of wind field structure identification are improved.

A heat-not-burn (HNB) aerosol generating device may include a housing including a power supply and an air inlet, a mouthpiece assembly movably attached to the housing, and providing an air outlet, a door assembly moveably attached to the housing, the door assembly including a door and a receptacle movably attached to the door, the receptacle defining a cavity to receive a capsule including an aerosol generating substrate, and a linkage arrangement operationally connected to the door assembly, the mouthpiece assembly and the housing, and the linkage arrangement cooperatively moving the mouthpiece assembly and the receptacle in response to movement of the door to a closed state such that the capsule is retained within the housing and operationally connected with the power supply, the air inlet and the air outlet.

The invention discloses a lithium iron phosphate battery grading active fire control method and system, and the method comprises the steps: collecting multi-mode perception data through deploying a multi-source sensor network and a BMS data interface, and constructing a battery thermal runaway risk assessment model through employing a Lyapunov fixed time stability theory; a hierarchical prevention and control strategy is dynamically generated in combination with a historical case sensitivity scoring mechanism, and linkage response of first-level early warning heat dissipation, second-level aerosol inhibition and third-level perfluorohexanone fire extinguishing is achieved. According to the invention, the problem that the prior art lacks self-adaptability and BMS deep collaboration is solved, the technical transformation from passive response to active prevention and control is realized, and the accuracy and timeliness of thermal runaway early warning are remarkably improved.

The invention provides a temperature control method and device and a computer readable storage medium, the temperature control method is applied to an aerosol generation device, the aerosol generation device comprises a microwave heating assembly, and the temperature control method comprises the following steps: obtaining an actual stage of a current heating control period; wherein the heating control cycle comprises a first stage, a second stage and a third stage; matching the power value corresponding to the actual stage from the database; and supplying power to the microwave heating assembly according to the corresponding power value in the actual stage. In the first stage, the aerosol generating product can quickly reach the temperature for generating aerosol, so that quick suction is realized; in the second stage, it can be guaranteed that the aerosol generating product does not burn or generates aerosol products harmful to health at high temperature in the smoking process, it can also be guaranteed that the aerosol generating product is continuously heated to generate a certain amount of aerosol, the uniformity of a temperature field is improved, and the smoking taste and release consistency of the aerosol are guaranteed.

The invention provides a data processing method and system for an aerosol analyzer, and belongs to the technical field of data processing of aerosol analyzers, and the method comprises the following steps: collecting light absorption signals of aerosol particles according to a light source system and a detector, and generating an original electric signal; preprocessing the original electric signal to obtain preprocessed data; extracting an absorption coefficient, a multiband light attenuation characteristic and a mass concentration parameter of the black carbon aerosol from the preprocessed data; analyzing the features based on a machine learning model, outputting a real-time prediction result of the concentration of the black carbon aerosol, and preprocessing the original electric signal to obtain preprocessed data, including the step of noise removal. According to the method, baseline drift is dynamically corrected through a polynomial fitting algorithm, wavelet transform denoising and a machine learning model are combined, the accuracy and real-time performance of black carbon aerosol concentration detection are remarkably improved, and the problems that in a traditional method, manual intervention is much, and the model generalization ability is poor are solved.

Provided is an assembly for use in an apparatus for heating aerosolizable material to volatilize at least one component of the aerosolizable material to generate an inhalable aerosol. The assembly having a structure delimiting an opening through which aerosolizable material can be removably inserted into the apparatus, a door coupled to the structure and movable between an open position where access to the opening is unrestricted and a closed position where access to the opening is restricted, and a latching arrangement configured to hold the door in at least one of the open position and the closed position when the door is in the one of the open position and the closed position until an external force is applied, in use, to release the latching arrangement.

The invention discloses a heat-not-burn device and a heating control method thereof.The heating control method comprises the steps that when a heating starting signal is received, a heating assembly is controlled to heat an aerosol-forming substrate, so that the aerosol-forming substrate is heated to a first temperature from an initial temperature; when it is detected that the suction action starts, the heating assembly is controlled to heat the aerosol-forming substrate so that the aerosol-forming substrate can be heated to a third temperature from the current temperature, and the third temperature is larger than or equal to the first temperature; when it is detected that the smoking action is finished, the heating assembly is controlled to heat the aerosol-forming substrate so that the aerosol-forming substrate can be cooled to a fourth temperature from the current temperature, and the fourth temperature is smaller than the third temperature. By implementing the technical scheme of the invention, the aerosol-forming substrate cannot be excessively carbonized, and the loss is small.

The present invention includes a spray drying disposable device for use in a spray drying system. The disposable has a spray drying head and a plasma drying chamber. The head has a spray dry nozzle assembly in fluid communication with the plasma source and the pressurized aerosol gas source. The pressurized gas flows in a vortex pattern that atomizes plasma droplets in the chamber. The head also includes a plenum has uniform air pressure of the drying gas. A baffle plate forms the floor of the plenum having drying gas jets that supply drying gas to the chamber. The atomized plasma droplets evaporate in the presence of the drying gas emitted from the jets to obtain dried plasma particles and humid air. A capture filter captures the dried plasma particles and allows the humid air to pass. The humid air passes through the gas outlet and the exhaust port.

The present invention includes a spray drying disposable device for use in a spray drying system. The disposable has a spray drying head and a plasma drying chamber. The head has a spray dry nozzle assembly in fluid communication with the plasma source and the pressurized aerosol gas source. The pressurized gas flows in a vortex pattern that atomizes plasma droplets in the chamber. The head also includes a plenum has uniform air pressure of the drying gas. A baffle plate forms the floor of the plenum having drying gas jets that supply drying gas to the chamber. The atomized plasma droplets evaporate in the presence of the drying gas emitted from the jets to obtain dried plasma particles and humid air. A capture filter captures the dried plasma particles and allows the humid air to pass. The humid air passes through the gas outlet and the exhaust port.

The present invention includes a spray drying disposable device for use in a spray drying system. The disposable has a spray drying head and a plasma drying chamber. The head has a spray dry nozzle assembly in fluid communication with the plasma source and the pressurized aerosol gas source. The pressurized gas flows in a vortex pattern that atomizes plasma droplets in the chamber. The head also includes a plenum has uniform air pressure of the drying gas. A baffle plate forms the floor of the plenum having drying gas jets that supply drying gas to the chamber. The atomized plasma droplets evaporate in the presence of the drying gas emitted from the jets to obtain dried plasma particles and humid air. A capture filter captures the dried plasma particles and allows the humid air to pass. The humid air passes through the gas outlet and the exhaust port.

The invention belongs to the technical field of remote sensing, and relates to a multispectral remote sensing atmospheric correction method based on fusion of a physical model and a neural network, which comprises the following steps: S1, classifying aerosol parameter data obtained based on foundation observation, remote sensing inversion or meteorological model and satellite data fusion inversion by adopting an unsupervised clustering algorithm, extracting a typical aerosol mode with physical representativeness; s2, in combination with the typical aerosol mode, simulating the apparent reflectivity of an observation channel under a plurality of atmospheric states and observation geometric conditions by using a radiation transfer model, generating a lookup table covering a wide parameter space, and constructing a training data set; and S3, constructing a nonlinear regression model, taking the training data set as a training sample, learning a mapping relation among an observation angle, an aerosol condition and surface reflectance, performing atmospheric interference correction on an actual multispectral remote sensing image under a pollution condition, and outputting a surface reflectance result.