922 results about "Aerosol" patented technology

The invention relates to the technical field of meteorological data analysis, and provides an aerosol prediction method and system based on artificial intelligence, which are used for accurately identifying an abnormal aerosol gathering mode in an extreme meteorological event. The method comprises the steps that an original multi-mode meteorological observation data set is acquired, and the original multi-mode meteorological observation data set comprises an earth surface aerosol concentration sequence, three-dimensional atmosphere state variables and boundary layer dynamic parameters; performing space-time heterogeneity correction on the original multi-modal meteorological observation data set to generate a space-time aligned target multi-modal meteorological observation data set; inputting the target multi-modal meteorological observation data set into a spatial-temporal feature fusion network to extract multi-scale spatial distribution features and cross-modal time sequence correlation features, and generating a spatial-temporal feature matrix based on the multi-scale spatial distribution features and the cross-modal time sequence correlation features; and performing multi-stage recursive optimization on the spatial-temporal characteristic matrix through a hierarchical time domain aggregation algorithm to generate an aerosol concentration prediction sequence of the target region.

The invention provides a photovoltaic power station photovoltaic power prediction method and system. A cloud layer motion time sequence library is constructed based on a historical cloud picture, and a nonlinear model of cloud speed and output attenuation is established. The light sensor array monitors the cloud layer thickness and the aerosol density in real time, calculates the light intensity attenuation gradient of the shadow area in combination with the model, and predicts the remaining time of the cloud cluster reaching the core area. Dividing a power prediction confidence interval according to remaining time, inputting satellite data into a multi-scale meteorological fusion architecture, and adjusting a meteorological feature extraction path of an attention mechanism based on cloud density. And fusing the surface reflectance correction value calculated by the scattering data of the light sensor to generate a short-term power prediction sequence of the sudden change cloud layer scene. And inputting the sequence into an energy management system, and outputting an active and reactive double-target scheduling instruction in combination with a grid-connected point voltage deviation and a reactive compensation parameter constrained by a power grid rule. According to the technical scheme provided by the invention, the cooperative scheduling precision of the photovoltaic power station in the cloud abrupt change scene is improved.

The embodiment of the invention provides a new energy optical power correction method and system based on weather abrupt change prediction. The method comprises the following steps: identifying a cloud layer type contained in a target area, and obtaining a cloud layer type coverage rate; if the cumulonimbus coverage rate exceeds a first threshold value, predicting a cloud layer movement path in combination with the cloud layer movement vector field to obtain a first cloud layer coverage change sequence; if the layer cloud coverage rate exceeds a second threshold value, an irradiance attenuation coefficient is predicted based on the cloud layer thickness in the meteorological data and the solar altitude angle, and a second cloud layer coverage change sequence is obtained in combination with the ground aerosol optical thickness and the corrected irradiance attenuation coefficient; and monitoring real-time operation data of the power station, combining the first / second cloud layer coverage change sequence, predicting a matching relationship between a cloud layer moving direction and a power station power reduction area by adopting a double-flow Transform architecture, calculating a power fluctuation range corresponding to each power station power reduction area, dynamically adjusting power grid operation parameters of a target area, and determining the power grid operation parameters of the target area. The power grid stability is ensured.

An aerosol-generating device includes an oven having a first opening through which an aerosol-generating article could be inserted at least partially in the oven and a compression device which is arranged outside the oven and in front of the opening to compress the aerosol-generating device upon insertion thereof in the oven through the opening. Furthermore, A system includes such an aerosol-generating device and an aerosol-generating article. A method for inserting an aerosol-generating article at least partially in an oven of an aerosol-generating device by the steps of compressing the aerosol-generating article by a compression device which is arranged outside the oven and in front of an opening of the oven to compress the aerosol-generating device upon insertion thereof in the oven through the opening, and moving the compressed aerosol-generating article at least partially into the oven is disclosed, too.

An atomizer includes: an aerosol-forming article having formed therein an accommodating cavity for accommodating an aerosol-forming substrate; and a suction nozzle assembly engaged with the aerosol-forming article, the suction nozzle assembly having an air inlet passage and an air outlet passage respectively in communication with the accommodating cavity and an assistance air passage directly or indirectly communicating the air outlet passage with external air.

The invention relates to the technical field of electric power, in particular to an intelligent photovoltaic energy storage real-time monitoring and dispatching system. Comprising a data acquisition unit, a data analysis unit and a scheduling control unit, according to the method, the aerosol optical thickness, the dust coverage rate, the meteorological parameters and the like are fused, the predicted power of the basic photovoltaic power generation is obtained, the predicted power of the predicted photovoltaic power generation is corrected by using the environmental attenuation factor and the environmental loss coefficient, the accuracy of the predicted power of the basic photovoltaic power generation can be effectively improved, and meanwhile, the method has good application prospects. The corrected prediction error is reduced, the subsequent energy storage charge and discharge decision accuracy is improved, the energy storage state of the battery is dynamically evaluated, the dynamic energy storage state of the battery is obtained, the charge and discharge power sequence and the purchase and sale power sequence are obtained by establishing an objective function and constraint conditions, and then the real-time charge and discharge power adjustment amount is calculated, so that the real-time charge and discharge power adjustment amount is calculated. And a charging and discharging power instruction is formulated and issued, so that an intelligent dynamic scheduling effect is realized.

The invention relates to the technical field of environmental science, in particular to a box-type model-based inversion method for methane sulfonic acid particles in marine droplet aerosol, which comprises the following steps of: 1, acquiring satellite remote sensing data, ground observation data and laboratory simulation data, and carrying out data standardization processing; 2, dividing the target sea area into a plurality of sub-areas as independent box bodies; 3, calculating the discharge flux of the marine droplet aerosol based on the dimethyl sulfide concentration and the wind speed, and updating the spatial and temporal distribution of the discharge source; 4, embedding a chemical reaction path for oxidizing dimethyl sulfide on the surface of the aerosol into the box-type model to generate methanesulfonic acid, and introducing the specific surface area of the aerosol to correct the reaction rate; and step 5, outputting spatio-temporal distribution of the concentration of the methane sulfonic acid, and comparing measured data for verification. The accuracy of aerosol source item estimation is improved, the fusion efficiency of multi-source data is improved, and the adaptive capacity of the model in a complex environment is enhanced.

The invention relates to the technical field of environmental data monitoring, in particular to a condensed aerosol fire extinguishing device integrated with an environmental perception function, which comprises the following control processes: acquiring environmental data of monitoring points, and according to the change trend of the same type of environmental data of each monitoring point at each moment, determining the environmental data of each monitoring point; obtaining an environmental anomaly index in combination with the environmental data increase amplitude; dividing all the monitoring points to obtain different anomaly monitoring groups according to the environment anomaly indexes and the distance distribution among the different monitoring points; analyzing the diffusion trend at the current moment, and judging whether a fire occurs at the current moment by combining the difference between the diffusion trends at the current moment and the adjacent historical moments and the environmental anomaly index; and if yes, determining a fire extinguishing device control scheme corresponding to each abnormity monitoring group at the current moment according to the environment abnormity index growth trend, the diffusion trend distribution characteristics and the position characteristics. According to the invention, a misjudgment condition possibly existing due to the change of an actual working environment is effectively avoided.

The invention provides a sea fog detection method and device based on a satellite-borne laser radar, and belongs to the field of atmosphere remote sensing monitoring. The method comprises the following steps: setting a multi-parameter joint threshold value for cloud-aerosol distinguishing; based on a set multi-parameter combined threshold value, primary distinguishing of cloud-aerosol is completed, and the number of cloud layers within the specified height from the sea surface is screened out from the cloud-aerosol range; in combination with the cloud base height and the scattering characteristic parameters of the cloud layer, the area meeting the scattering characteristic criterion is calibrated as a sea fog layer; calculating continuity characteristics of sea fog levels in vertical and horizontal distribution, and identifying signal interruption points and abnormal distribution areas; and carrying out interpolation completion on scattering characteristic data of a signal interruption point region, eliminating an abnormal distribution region, re-correcting hierarchical characteristics of vertical and horizontal distribution, and outputting an optimized sea fog hierarchical distribution result. According to the sea fog detection method and device based on the satellite-borne laser radar provided by the invention, detection of vertical distribution of sea fog can be accurately and effectively realized.

The invention discloses a high-reliability fire detection method and system, and relates to the technical field of fire alarm, and the detection method comprises the following steps: S1, setting a threshold value; s2, initializing a background value, updating the detection value at regular time, and updating the background value to initialize the background value; s3, identifying the aerosol type; s4, identifying the movement condition of the personnel; s5, identifying a high-humidity environment; s6, identifying a high-temperature environment; and S7, judging a fire alarm. The detection system comprises a threshold setting module, an initialization module, a smoke detection module, a radar system, a humidity detection module, a temperature detection module, a background value updating module and an alarm module. According to the invention, the radar system is used for judging and detecting the motion state of environmental personnel, detection is carried out in combination with factors such as smoke, temperature and humidity, and different levels of alarm thresholds are set for judgment, so that the identification capability of the fire detector on non-fire smoke is enhanced, and the false alarm probability under the non-fire smoke condition is reduced.

The invention discloses a high-precision spectral remote sensing atmospheric correction and cloud removal processing method fusing multiple time phases, atmospheric parameters and ground reflectivity, and relates to the technical field of computer vision, deep learning image processing and remote sensing. Comprising the following steps: acquiring an atmosphere top reflectance and surface reflectance model of a Sentinel-2 satellite remote sensing image in a Guilin region, and constructing a data set by atmosphere data; constructing a diffusion model for multispectral remote sensing image processing; constructing a condition control and coding structure to carry out multispectral parameter and atmospheric parameter processing; and establishing a unified model to carry out atmospheric correction and cloud removal processing on the spectral satellite remote sensing image. According to the method, multi-temporal multi-spectral parameters, atmospheric aerosol optical thickness, atmospheric water vapor and ground reflectivity remote sensing characteristic parameters and data are fully fused, and a brand new unified model is established to realize atmospheric correction and cloud removal processing of a high-precision spectral satellite remote sensing image; and atmospheric correction and cloud removal processing of the high-precision spectrum satellite remote sensing image are realized.

The invention discloses a biosafety laboratory airflow risk monitoring method and device, a medium and a product, and relates to the field of data processing. The method comprises the following steps: acquiring airflow sensor data and facility state data, calculating a restraint integrity index according to the two types of data, performing dynamic time warping matching on a real-time change curve of the index and a preset baseline database, outputting a matching degree, and when the matching degree is lower than a preset threshold value, predicting that an airflow restraint barrier has a fracture risk, positioning a risk source according to the data source causing the abnormal matching degree, taking the source as a release point of a virtual aerosol pollutant, executing fluid dynamic simulation in combination with real-time environment data, generating a three-dimensional space-time diffusion trajectory of the pollutant in a laboratory, and extracting a risk quantitative index; and accurate laboratory airflow risk early warning information is generated based on the quantitative indexes. According to the invention, early warning can be carried out before the risk occurs, and the problem of safety hysteresis in airflow risk monitoring of the biosafety laboratory is relieved.

The invention relates to the technical field of intelligent environmental protection, in particular to an unmanned aerial vehicle urban atmospheric pollution monitoring and preventing system based on radar and AI cooperation, which comprises a laser radar scanning module, an edge computing gateway, a cloud server, a small unmanned aerial vehicle inspection module, an unmanned aerial vehicle spraying module and a fog gun vehicle module, the laser radar scanning module scans and generates point cloud data in real time, and pollution information is obtained by combining positioning and aerosol inversion; the edge computing gateway uses a DBSCAN clustering algorithm and an improved YOLOv8 model to determine pollution hot spot coordinates, grades and pollution source types; the cloud server dynamically dispatches all the modules in sequence, an improved ant colony algorithm is adopted to plan a route, and real-time obstacle avoidance and accurate spraying are achieved; the small unmanned aerial vehicle inspection module obtains an image of a polluted area, the unmanned aerial vehicle spraying module carries out precise spraying treatment, and the fog gun vehicle module carries out dust suppressant spraying on a dust raising source. The defects of a traditional atmospheric pollution monitoring and treatment means are overcome, and accurate monitoring and efficient treatment are achieved.

Provided are an aerosol generating apparatus including a cigarette insertion portion into which a cigarette is insertable; and a vaporizer configured to heat a liquid composition to generate aerosol and discharge the generated aerosol toward the inserted cigarette such that the generated aerosol passes through the cigarette inserted into the cigarette insertion portion, and a cradle for receiving the aerosol generating apparatus.

The invention provides an atmospheric pollutant traceability analysis method and system. According to the method, a form classification standard is established through particle shape features, and atmospheric particles are divided into naturally raised dust and industrial emission particle swarms. A dual-wavelength laser technology is adopted for natural flying dust, specifically, the first wavelength is matched with the inherent frequency of mineral crystals, amorphous scattering interference is blocked through polarization beam splitting, and a reflection signal sequence is extracted to generate a mineral migration path; and the second wavelength screens heavy metal scattering signals of the industrial particles, and a heavy metal diffusion track is constructed by utilizing spatial intensity gradient. And superposing the two paths and aerosol three-dimensional distribution data to generate a thermal distribution diagram, and when the space density exceeds a threshold value, calculating a migration path deviation value and a trajectory offset, dynamically distributing pollution source contribution weights, and outputting a pollution source analysis result. According to the invention, dynamic and accurate analysis of natural and industrial pollution sources is realized, and the regional pollution traceability and management and control strategy targeting are improved.

The invention provides a containment suppression, filtration and discharge system for a floating nuclear power platform. Comprising a containment, a first discharge valve, a first discharge pipeline, a first spray pipe, a first-stage pressure suppression water tank, a second-stage pressure suppression water tank, an expansion cabin, a second discharge valve, a filter cabin, a second spray pipe, an air cooler, a radioactivity monitor, a passive residual heat discharge water tank, a first stop valve and a second stop valve. By arranging a plurality of radioactive removal means which are connected in series, including two-stage bubbling washing, static mixer bubble cutting, efficient metal fiber filtering, silver zeolite filtering and the like, efficient removal of airborne radioactive substances (aerosol, inorganic iodine and organic iodine) can be realized; and the radioactive influence of overpressure discharge of the containment on the environment under the condition of serious accidents is reduced. The air cooler is arranged on the filtering and discharging pipeline to condense discharged steam, condensate returns to the filtering cabin by means of the gravity difference, and long-term passive effective operation of the water scrubber can be achieved.

The application discloses a pollution-preventing detection device, method and application for rapid detection of nucleic acid amplification, which comprises a detection part and a mixed reaction cabin, and the mixed reaction cabin comprises a reaction cabin main body and a reaction cabin cover which is in sealed connection with the reaction cabin main body and can be detached; a channel for connecting a hybridization liquid containing part and a mixed reaction part is arranged between the reaction cabin cover and the reaction cabin main body; the detection part comprises a detection inner core and a detection box body containing the detection inner core; a transparent observation window is arranged on the detection box body and corresponds to the reaction area position of the detection inner core; a flow guide device matched with the mixed reaction cabin is further arranged on the detection box body; the flow guide device comprises a flow guide pipe and a flow guide part; one end of the flow guide part is connected with the flow guide pipe, and the other end is connected with the detection inner core; the hybridization liquid and the sample mixed liquid are guided to the detection inner core; and the detection inner core displays the final detection result in the area corresponding to the transparent observation window. The application realizes that the liquid in the reaction tube flows out to the designated detection card in a completely closed environment, and has the advantages of good sealing effect and prevention of primer aerosol pollution.

The invention relates to the technical field of gas component analysis, in particular to an air quality detection method based on multifunctional detection, which comprises the following steps: generating an optical characteristic time sequence table through a polarized light ratio, judging pollutant types, extracting a concentration inflection point and a sudden change rate, merging and identifying emergencies and concentration jump, and outputting an air quality detection result. According to the method, the ratio of the reflected light intensity in the primary scattering direction to the reflected light intensity in the secondary scattering direction is recorded, an aerosol optical characteristic time sequence table is constructed, and optical differences are extracted to achieve fine classification of pollutants; by combining scattering angle priority judgment, pollution attribute recognition precision is improved, concentration inflection points are positioned through time sequence difference, sudden change behaviors are recognized through rate analysis, response sensitivity to dynamic pollution changes is enhanced, pollution structure classification and rate statistics are combined, comprehensive interpretation capacity of pollutants under time sequence and attribute two dimensions is enhanced, and the method has the advantages of being high in accuracy and high in reliability. And high-timeliness and high-resolution air quality monitoring can be realized.

The invention discloses a troposphere BrO vertical profile inversion method, medium and equipment based on machine learning, and the method comprises the steps: obtaining BrO vertical profile data, inputting the profile data, aerosol characteristic parameters, geometric angle parameters and earth surface characteristic parameters into an atmospheric radiation transmission model, and obtaining BrO DSCD data; the obtained DSCD and the profile data set are preprocessed; training a troposphere BrO vertical distribution inversion model combining a convolutional neural network CNN and a long short-term memory network LSTM by using the preprocessed DSCD and profile data set; and performing QDOAS processing on MAX-DOAS spectral data to be inverted to obtain DSCD data, inputting the preprocessed DSCD data, aerosol parameters and geometric angle parameters into the trained CNN-LSTM troposphere BrO vertical distribution inversion model to perform data inversion, and finally obtaining an inversion result of troposphere BrO vertical distribution. According to the invention, the accuracy and stability of an inversion result can be significantly improved.

There is disclosed a method of processing rod-shaped consumable aerosol-generating articles each comprising an aerosol-generating substrate portion including a metallic susceptor, the aerosol-generating generating substrate being longitudinally disposed between first end and second end plug portions, the aerosol-generating substrate and the first and second end plug portions being wrapped in at least one circumferential wrapper, the method comprising the steps of: i) feeding the aerosol-generating articles onto a vibrating sieve and causing the aerosol-generating articles to pass across a surface of the vibrating sieve; ii) arranging the aerosol-generating articles, after passage across the surface of the vibrating sieve, on an alignment belt comprising a plurality of transverse grooves configured to receive the aerosol-generating articles aligned substantially parallel to each other, the alignment belt having first and second opposed side edges; iii) positioning the aerosol-generating articles within the transverse grooves such that the first end plug portions abut at least one of the first and second opposed side edges of the alignment belt; iv) cutting the aerosol-generating articles at at least two points along a length of the aerosol-generating articles so as to separate the first end and second end plug portions from the aerosol-generating substrate portion; v) separating the aerosol-generating substrate portions from the first end plug portions and the second end plug portions; vi) separating the aerosol-generating substrate portions, including the metallic susceptors, from their circumferential wrappers; vii) cutting the aerosol-generating substrate portions so as to expose the metallic susceptors; viii) applying a magnetic field so as to separate the metallic susceptors from the aerosol-generating substrate portions; and ix) separately collecting the aerosol-generating substrate portions and the metallic susceptors.

The invention relates to the technical field of unmanned aerial vehicle measurement, in particular to an unmanned aerial vehicle measurement system based on low-altitude meteorological high-precision positioning, which comprises a low-altitude meteorological sensing unit, a positioning fusion calculation unit, a cooperative calibration control unit and a self-adaptive measurement unit. The positioning fusion calculation unit uses an atmospheric delay correction model and fuzzy adaptive Kalman filtering to compensate an atmospheric delay error and adjust a positioning noise matrix to output accurate track coordinates, and cooperates with the calibration control unit to establish a relation between a humidity gradient and a positioning height error, obtain an optimal compensation coefficient and convert the optimal compensation coefficient into a flight control instruction, and finally control the flight control instruction. And the adaptive measurement unit controls the multispectral imager to switch wavebands and adjust the scanning angle of the laser radar according to the flight path and the meteorological parameters, so that the aerosol vertical profile synchronous inversion is realized, and the positioning accuracy of the unmanned aerial vehicle and the reliability of measurement data under the complex meteorological condition are improved.

The invention discloses an atmosphere chemical weather coupling rapid updating circulation method and system, and the method comprises the steps: collecting original ground aerosol observation data in a preset region, and carrying out the preprocessing of the ground aerosol observation data, the aerosol observation data being PM2.5 and PM10; preparing atmospheric chemical forecast data of a chemical weather mode, and performing atmospheric chemical background field preprocessing on the forecast data to obtain a chemical background field based on a chemical weather coupling assimilation system; updating an atmospheric chemical initial field according to the analysis field; based on a CMA-MESO rapid updating circulation process, an atmosphere chemical weather coupled rapid updating circulation system is constructed.

The invention provides an incoherent wind measurement laser radar and an atmospheric wind speed measurement method, and the method comprises the steps: generating pulse linearly polarized light through a transmitting system, adjusting the polarization state through a light processing system, transmitting the pulse linearly polarized light to the atmosphere, and receiving and processing an echo signal reflected by atmospheric molecules; the light processing system divides the echo signal into two paths, one path is detected by a first photoelectric detector after being processed by a metastable-state barium atom frequency discriminator, and the other path is detected by a second photoelectric detector; the metastable-state barium atom frequency discriminator carries out frequency discrimination on signals by using resonance absorption characteristics of barium atoms, and the data acquisition and processing system acquires signal intensity of the first photoelectric detector and the second photoelectric detector, calculates a ratio, calculates Doppler frequency shift according to a corresponding relation between the signal intensity ratio and the Doppler frequency shift, and inverts atmospheric wind speed. In the scheme, the aerosol interference part in the atmospheric echo signal is filtered by adopting the metastable-state barium atom frequency discriminator, so that the problem that atmospheric wind field detection is easily interfered by aerosol is solved, and the accurate detection of the atmospheric wind speed is realized.

The invention discloses a preparation method of a composite micro-groove super-hydrophobic low-ice-adhesion photo-thermal film. The preparation method comprises the following steps: (1) constructing a low-elasticity-modulus photo-thermal composite sponge substrate through a solvothermal method; (2) uniformly coating the surface of a substrate with a polydimethylsiloxane (PDMS) precursor solution by adopting an aerosol-assisted deposition technology, and carrying out thermocuring to form a functional composite interface layer; and (3) constructing a multi-stage scallop surface-imitating micro-nano groove composite structure on the surface of the interface layer by using a femtosecond laser micro-nano processing technology. The prepared film has super-hydrophobicity, the surface of the film is in a Cassie-Baxter wetting state with a 164-degree contact angle and a 1-degree rolling angle, and the film has a surface self-cleaning function. Under the icing condition, the adhesion strength of an ice layer of the system is obviously reduced to 2.57 kPa, the static delay icing time is effectively prolonged to 1587 s, and the system has the photo-thermal response characteristic and can realize rapid icing ablation under the standard solar irradiance; the preparation method has the characteristics of high process controllability, environment friendliness and the like, and is suitable for large-scale continuous production.

Apparatus, systems, and methods for diluting aerosolized high-melting-point solution. A dilution apparatus intakes a flow of aerosolized form of the high-melting-point solution and a flow of inert gas into a continuous multi-chamber volume. The continuous multi-chamber volume comprises an introductory chamber and an expansion chamber that is cross-sectionally larger than the introductory chamber. The dilution apparatus mixes the aerosolized form of the high-melting-point solution with the inert gas in the expansion chamber to dilute the aerosolized form of the high-melting-point solution and channels a portion of the diluted aerosol to a dilution passage.

Systems and methods of an electronic cessation system. The system can include a mobile platform and a hand-held inhalation device including a flow sensor, aerosol sensing density and temperature sensors, a first, second, and third aerosolizer drivers, a rescue button, a power source, and a controller circuit comprising a hardware controller coupled to the power source, the sensors, the first, second, and third aerosolizer drivers, and the rescue button. The hardware controller is configured to perform a smoking cessation program that includes receiving input signals from the sensors, and the rescue button, and individually controlling the three aerosolizer drivers to provide aerosolizer generation signals to control a first, second and third aerosolizers of the aerosolizer pod to dynamically generate individually tailored aerosol mixtures from three substances in the aerosolizer pod based at least on the received input signals and the smoking cessation program information.

Methods and devices for analyzing non-volatile organics in exhaled breath and other aerosols using various diagnostic tools that enable rapid, low-cost point of care assays for several diseases including respiratory tract diseases such as COVID-19. The disclosed methods and systems selectively capture non-volatile organics in exhaled breath and other aerosols in a packed bed column. The non-volatile organics are eluted and samples are analysis using diagnostic devices including MALDI-TOFMS. The disclosed systems and methods provide for a diagnostic test result in less than about 20 minutes and provides for autonomous operation with minimal human intervention.

The invention discloses an intelligent cross infection prevention disinfection closestool, and relates to the field of disinfection closestools. The toilet seat is arranged on the base; the water tank is arranged on the base; the electrolysis module is arranged in the water tank and used for electrolyzing tap water to obtain disinfectant fluid; the toilet seat ring is sleeved with the seat ring sleeve; the automatic sleeve replacing device is arranged on the base and used for pulling one end of the seat sleeve to move in the circumferential direction of the toilet seat; the wetting device is arranged on the base and used for spraying disinfectant fluid to the seat ring sleeve; and the control module is arranged on the base and is used for controlling the electrolysis module, the automatic sleeve changing device and the wetting device to start / stop. According to the application, the situation that a disinfectant needs to be frequently added externally is avoided, the effect of automatically disinfecting the environment in the base and the toilet seat at the same time is achieved, the risks of contact propagation and aerosol propagation caused by the toilet are integrally solved, the probability of pathogenic microorganism residues and diffusion is reduced, and cross infection is avoided.

A mask-based testing system for detecting a biomarker received from lungs and airways of a test subject includes an exhaled breath condensate (EBC) collector integrated into an inside of a face mask worn by the test subject. The EBC collector converts breath vapor received from the lungs and airways of the test subject into a fluid biosample. A biosensor is fixed to the inside of the face mask for receiving a fluid biosample from the EBC collector and testing the fluid biosample for a target analyte. The biosensor generates a test signal dependent on at least the presence and absence of the target analyte in the fluid biosample. An electronic circuit is fixed to an outside of the mask for receiving the test signal, determining from the test signal a test result signal depending on detecting or not detecting the target analyte, and transmitting the test result signal to a remote receiver.

The invention discloses a PM2.5 concentration prediction method and device, a medium and a product, and relates to the technical field of atmospheric environment monitoring and deep learning prediction.The method comprises the steps that laser radar vertical profile data containing extinction coefficients and depolarization ratio vertical profiles and a scalar time series data sequence are obtained; converting the laser radar vertical profile data sequence into a vertical sequence containing position information at any moment; adopting a multi-channel spatial feature extraction model, and obtaining a multi-channel spatial feature vector based on the vertical sequence; and after the scalar time sequence data sequence and the multi-channel spatial feature vector are spliced to obtain a fused feature vector, a PM2.5 concentration prediction value is obtained by adopting a time sequence prediction model. According to the method, the technical pain point caused by the fact that aerosol types cannot be distinguished and'high altitude-ground 'cross-layer physical association cannot be captured in the prior art is solved, so that accurate and robust prediction of the PM2.5 concentration on the ground is realized under complex weather conditions such as sand and dust transportation and boundary layer evolution.