199 results about "Bioaerosol" patented technology

The invention discloses a distributed farm bioaerosol concentration simulation and health risk early warning method based on deep learning, and the method comprises the following steps: constructing and deploying a distributed sensor network, collecting and processing data, constructing a bioaerosol concentration distributed model and a health risk early warning model based on a deep learning method, and through a central processing control and 3D visualization unit, the simulation and prediction result of the bioaerosol concentration distributed model and the health risk level and early warning information generated by the health risk early warning model are used to generate a visual 3D graph. The risk of pathogen transmission is greatly reduced, the safety level of the farm environment is remarkably improved, and an intelligent and systematic solution is provided for guaranteeing the health of workers and animals.

The invention discloses a nanoparticle / polyvinylidene fluoride composite piezoelectric gain photocatalytic antibacterial film and a preparation method and application thereof.The preparation method comprises the steps that a polyvinylidene fluoride solution serves as a core layer spinning solution, and photocatalytic nano sol serves as a skin layer spinning solution; and carrying out coaxial electrostatic spinning on the polyvinylidene fluoride solution and the photocatalytic nano sol to prepare the nano particle / polyvinylidene fluoride composite piezoelectric gain photocatalytic antibacterial film. According to the preparation method disclosed by the invention, nano-scale photocatalytic sol is fixed on the surface of micron-scale polyvinylidene fluoride in one step by utilizing an electrostatic spinning technology, so that the polyvinylidene fluoride is prevented from coating effective components, and the effective components are also prevented from blocking holes of polyvinylidene fluoride fibers; effective separation and directional migration of electrons and holes of sol on the surface are effectively promoted, and the capacity of photocatalytic nano sol for removing biological aerosol is improved. The preparation method is simple in industry, low in energy consumption and easy for large-scale production.

The invention discloses a three-dimensional construction method and system for a bioaerosol simulation scene, and relates to the technical field of modeling, and the method comprises the steps: recognizing a first training scene; configuring three-dimensional simulation parameters; performing three-dimensional simulation on the first training scene by adopting a three-dimensional simulation system, and outputting a first simulation scene; performing dynamic particle tracking on the first simulation scene, and identifying dynamic particle information; a simulation effect influence recognition model is established, the dynamic particle information is input into the model for analysis, identification dynamic particles are obtained, and the identification dynamic particles are particles with influence indexes larger than a first preset influence index; and establishing a granularity adjuster, performing feedback connection with the simulation effect influence identification model, performing fine granularity processing on the identification dynamic particles according to the granularity adjuster, and optimizing the first simulation scene. Therefore, the technical effect is achieved.

The invention discloses a pollen bioaerosol concentration monitoring system and monitoring method, and relates to the technical field of pollen bioaerosol concentration detection. The monitoring system comprises a power unit, a light source, a detector, a measuring cavity and a data processing unit, the power unit is used for outputting negative pressure power to enable air of a measured environment to enter the measuring cavity, and to-be-measured air is obtained; the air to be detected contains pollen particles; the light source is used for providing incident light for to-be-detected air; the detector is used for receiving an elastic scattering field intensity signal and a fluorescence scattering field intensity signal which are generated after incident light irradiates air to be detected, converting the elastic scattering field intensity signal into a first time domain electric pulse signal and converting the fluorescence scattering field intensity signal into a second time domain electric pulse signal; the data processing unit is electrically connected with the detector; the data processing unit is used for determining the number of pollen particles in the air to be detected according to the first time domain electric pulse signal and the second time domain electric pulse signal. According to the invention, the accuracy and real-time performance of detection can be improved.

The invention discloses an air microorganism aerosol alarm sampling system and method and an unmanned aerial vehicle system. A main controller receives a current position positioned by a GPS positioning module, and when the current position is in a to-be-detected area, an air pump and an alarm sampling optical module are started to pump air into the alarm sampling optical module; the alarm sampling optical module samples microbial particles in the air to form a fluorescence signal, the main controller analyzes the aerosol concentration according to the fluorescence signal and identifies whether the aerosol is a biological aerosol, when the aerosol concentration exceeds a set threshold value or the aerosol is identified as the biological aerosol, the alarm is controlled, and meanwhile, the sampling module is controlled to be started; the main controller controls the liquid supplementing peristaltic pump to start, the sampling liquid in the sampling liquid bottle is pumped into the sampler, then the motor driver is controlled to drive the fan to start to enable air to enter the sampler for sampling, only the sampling peristaltic pump is controlled to start after sampling is completed, and the sample liquid in the sampler is conveyed into the sample bottle through the three-way pipe. The collection of the microbial aerosol particles is completed.

The invention relates to the technical field of atmospheric biological aerosol sampling and detection, in particular to a particle size resolution type aerosol in-situ sampling and analysis integrated system and method. The system comprises an electrostatic field grading aerosol sampler, a micro-fluidic detection chip based on an immunochromatography principle and an image acquisition and data analysis unit, according to the electrostatic field grading aerosol sampler, biological aerosol particles are electrified through a charge tube, and grading capture according to particle sizes is realized in a stepped electrostatic field; the micro-fluidic detection chip transfers an enriched sample to a multi-layer structure micro-fluidic chip, and a specific reaction is completed based on an immunochromatography principle; and the image acquisition and data analysis unit captures a color developing image through a high-definition camera, and adopts an RGB analysis algorithm to realize quantitative detection. The method realizes full-process automation from sampling to analysis, solves the problems of low efficiency and tedious operation of a traditional method, and has the advantages of high detection speed, high sensitivity, no need of harmful reagents, environmental friendliness and the like.

The invention discloses a Janus air filtering membrane for capturing, detecting and sterilizing integrated biological aerosol and a preparation method of the Janus air filtering membrane, and belongs to the technical field of filtering membranes. According to the technical scheme, the air filtering membrane is provided with an asymmetric two-side structure and a soluble micro-nano porous network structure, the surface of the filtering membrane is asymmetrically modified through an amphiphilic AIE photosensitizer, the Janus structure is constructed on the basis that the overall structure of the filtering membrane is not damaged, aggregation of the AIE photosensitizer on the single side of the filtering membrane is achieved, and therefore the air filtering membrane is formed. The air filter membrane has green capture detection performance and AIE photodynamic disinfection performance. The preparation method comprises the steps of solution preparation, filter membrane forming, surface asymmetric modification and drying. According to the Janus air filtering membrane, efficient capture and enrichment of biological aerosol can be achieved, the Janus air filtering membrane is used for microbiological detection under the guidance of near-infrared fluorescence imaging after being colored, and effective inactivation of air pathogens can be achieved by means of white light irradiation.

The invention discloses a bioaerosol and volatile organic compound generation, equilibrium and co-exposure system and a use method thereof. The system comprises a co-exposure balance box, a volatile organic compound gas balance box, a biological aerosol balance box, a biological aerosol collection device and the like, wherein the volatile organic compound gas balance box and the biological aerosol balance box are connected with the co-exposure balance box through a pipeline system. By utilizing the system, the generation balance of multi-component multi-gradient VOCs and multi-type multi-concentration biological aerosols can be quickly controlled in real time by regulating and controlling the gas path ratio of the VOCs gas to the biological aerosols and changing the types and concentrations of microorganisms and VOCs in the biological aerosols, so that the real-time regulation and control of the VOCs exposed biological aerosols are realized; the release of different concentrations, different types and various VOCs and the generation of different types of biological aerosols in different natural scenes are simulated, so that the interaction between the VOCs and the biological aerosols is evaluated, and the subsequent treatment of the VOCs and the biological aerosols is facilitated.

A biological aerosol monitoring apparatus, comprising a light path, a gas path and a signal processing system, wherein the light path comprises a laser irradiation light path configured to irradiate particles to be tested, a scattered light collection light path configured to receive scattered light signals, and a fluorescence collection light path configured to receive fluorescence signals. A focal point (M) of an excitation light source (101) configured to irradiate said particles is located before or behind a photosensitive area (G) on an optical axis of the laser irradiation light path, such that the cross section of an excitation light spot in the photosensitive area (G) that is perpendicular to the optical axis of the laser irradiation light path is a rectangular shape, and when a single aerosol particle passes through the photosensitive area (G), the single aerosol particle is continuously irradiated by excitation light to obtain an intrinsic fluorescence bleaching speed. Information such as an intrinsic fluorescence bleaching speed, a scattered light peak value and a relative fluorescence intensity of aerosol particles is integrated, such that preliminary classification of biological particles is realized, instrument alerts caused by non-target microorganisms are significantly reduced, and the capability of an instrument for identifying the types of biological aerosols is improved, thereby reducing the frequency and cost of subsequent biological detection.

A method for detecting aerosol particles in ambient air with a photoacoustic gas sensor, wherein an analysis volume is present in the beam path of a modulable emitter such that the emitter can use modulable radiation to excite aerosol particles in the analysis volume to form sound pressure waves which are detectable by means of the sensor. Using the modulable emitter, the analysis volume is irradiated with the modulated radiation to generate sound pressure waves. The generated sound pressure waves are measured by the sensor, whereby the presence and / or concentration of the aerosol particles in the ambient air is determined on the basis of the measurement results. In some embodiments, the aerosol particles are bioaerosols, such as pollen, spores, bacteria and viruses.

The invention discloses a medical product production risk management and control AI robot, which comprises a robot body, a processor, a memory and a computer program which is stored on the memory and can run on the processor are arranged in the robot body, and the processor executes the computer program and realizes a medical product production risk management and control method; the medical product production risk management and control method comprises the following steps: step 1, risk factor perception: collecting temperature, humidity, wind speed, dust particle concentration and biological aerosol concentration data of different positions in a production space; collecting pressure difference data between an air inlet and an air outlet of the production workshop; 2, constructing a concentration prediction model, wherein the architecture comprises an ARIMA main model, an LSTM compensation model and an output layer; 3, training a risk prediction network, and training and establishing a risk factor prediction model group; 4, risk factor prediction; 5, production risk cognition and decision making are carried out; and step 6, carrying out production risk dynamic evaluation, alarm and intelligent management and control.

The embodiment of the invention discloses a biological aerosol real-time identification method and system based on ultraviolet laser induced multi-dimensional optical fingerprints. The method comprises the following steps: irradiating biological aerosol particles with ultraviolet laser with a set wavelength, scattering the ultraviolet laser under the action of the particles, and exciting the particles to generate fluorescence; mie scattering signals are collected in the first optical channel and used for measuring physical size information of particles; a broadband fluorescence signal is collected in a second optical channel and is used for determining chemical composition information of the particles; a fluorescence signal of a selected wavelength characteristic peak value is collected in a third optical channel and is used for determining microenvironment and conformation information of particles; the horizontal component intensity and the vertical component intensity of the fluorescence signal with the set wavelength are collected in a fourth optical channel and are used for determining the structural order information of the particles; based on the obtained physical size information, chemical composition information, microenvironment and conformation information and structural orderliness information, particle classification information in the biological aerosol is analyzed and determined.

The invention provides a pathogenic microorganism nucleic acid detection system and method, and the detection system comprises an aerosol collection mechanism, a reagent conveying mechanism, a sample enrichment mechanism, a pipetting and tray changing mechanism, and a tray storage mechanism. All the mechanisms are matched with one another, so that sample collection, sample and reagent conveying, sample enrichment, sample pretreatment, microfluidic disc replacement and detection work of the microbial aerosol can be realized. Manual intervention is not needed in the detection process, and detection efficiency is high.

The utility model belongs to the technical field of biological aerosol, and discloses a system for simulating the influence of atmospheric environment exposure on the activity of biological aerosol. The simulation system comprises a biological aerosol generation device, a biological aerosol exposure device and a sampling device which are connected in sequence, the biological aerosol generating device consists of an air compressor, a pressure reducing valve, a flow controller, an air filter and a biological aerosol generator which are connected in sequence; the biological aerosol exposure device comprises a balance chamber, an atmospheric pollutant generator and an atmospheric pollutant concentration detector; and a fan and a probe of an atmospheric pollutant concentration detector are arranged in the balance chamber. A sampling port is formed in the side face of the bottom of the balance cavity and sequentially connected to a drying pipe and a tail gas pump through a sampling device. The simulation system disclosed by the utility model is convenient to sample, good in sealing performance and convenient to adjust and control, can be used for constructing a relevant model of the biological aerosol exposed cells, and provides a technical basis for research on biological aerosol control and human health risk assessment.

The invention discloses an online monitoring and early warning method and system for biological aerosol, and belongs to the field of biological aerosol monitoring, and the method comprises the steps: carrying out the dynamic monitoring of the biological aerosol at a first position in a target scene, and obtaining first real-time monitoring data; analyzing the first real-time monitoring data to obtain a first biological aerosol concentration; transmitting the first real-time monitoring data and the first bioaerosol concentration to a monitoring and early warning center; analyzing the first real-time monitoring data through a monitoring calculation unit to obtain a first biological aerosol predicted concentration; and dynamically displaying the first biological aerosol predicted concentration and the first biological aerosol concentration through an early warning display unit, and generating a first risk early warning according to dynamic display information. According to the invention, the technical problems of single monitoring data, slow response and inaccurate early warning of the existing biological aerosol are solved; the technical effects of comprehensively monitoring and timely responding to the biological aerosol and improving the early warning accuracy are achieved.

A particulate matter detection device takes holographic images of flowing particulate matter concentrated by a virtual impactor, which selectively slows down and guides larger particles to fly through an imaging window. The flowing particles are illuminated by a pulsed laser diode, casting their inline holograms on a CMOS image sensor in a lens-free mobile imaging device. The illumination contains three short pulses with a negligible shift of the flowing particle within one pulse and triplicate holograms of the same particle are recorded at a single frame revealing different perspectives of each particle. A deep neural network classifies the particles based on the acquired holographic images. The device was tested using different types of pollen and achieved a blind classification accuracy of 92.91%. This mobile and cost-effective device weighs ˜700 g and can be used for label-free sensing and quantification of various bio-aerosols over extended periods.

One variation of a method includes, during a test period: triggering release of a tracer test load into air in an environment, according to a set of release parameters, by a dispenser arranged within the environment, the first tracer test load comprising a first concentration of tracers of a first type in solution; and triggering an air sampler, located in the environment, to record a timeseries of aerosol data representing amounts of aerosol particles detected at the air sampler during the test period. The method further includes: deriving a tracer signal, representing changes in amounts of tracers in air detected at the air sampler during the test period, based on the timeseries of aerosol data and the set of release parameters; based on characteristics of the tracer signal, characterizing a set of aerosol flow metrics representing behavior of aerosols in the environment during the test period.

The application discloses a kind of distributed farm biological aerosol concentration simulation and health risk early warning method based on deep learning, comprising the following steps: constructing and deploying distributed sensor network to collect data and processing, based on deep learning method, biological aerosol concentration distributed model and health risk early warning model are constructed, the simulation and prediction result of the biological aerosol concentration distributed model is generated with the health risk grade and early warning information generated by the health risk early warning model through central processing control and 3D visualization unit 3D diagram of visual generation is generated.The application greatly reduces the risk of pathogen transmission, significantly improves the safety level of farm environment, and provides an intelligent and systematic solution for protecting the health of staff and animals.

A method and apparatus are provided for monitoring one or more bioaerosols in a building. The apparatus comprises: a surface 140 for exposure to ambient air, wherein the surface is configured to receive and cultivate a bioaerosol from the ambient air; a camera 130 for acquiring one or more images of the surface and of one or more bioaerosols cultivated thereon; and a sensor device 160 for obtaining one or more measurements of the relative humidity and temperature of the ambient air. The one or more images of the surface and the one or measurements of the relative humidity support management of the bioaerosols by identification of the one or more bioaerosols.

One variation of a method includes, during a calibration period: triggering collection of an initial bioaerosol sample by an air sampler located in an environment; and triggering dispensation of a tracer test load by a dispenser located in the environment; accessing a detected barcode level of a barcode detected in the initial bioaerosol sample; accessing a true barcode level of the barcode contained in the tracer test load; and deriving a calibration factor for the environment based on a difference between the detected barcode level and the true barcode level. The method further includes, during a live period succeeding the calibration period: triggering collection of a first bioaerosol sample by the air sampler; accessing a detected pathogen level of a pathogen detected in the first bioaerosol sample; and interpreting a predicted pathogen level of the pathogen in the environment based on the detected pathogen level and the calibration factor.

The utility model relates to an unmanned aerial vehicle airborne biological aerosol sampler, and relates to the technical field of aerosol sampling devices, the unmanned aerial vehicle airborne biological aerosol sampler comprises an air inlet valve seat, an air inlet channel is arranged in the air inlet valve seat, the air inlet end of the air inlet channel is connected with an air inlet valve, the air inlet valve is used for controlling communication of the air inlet channel, and the air outlet end is connected with a fan; the air inlet valve is configured to be automatically opened when the fan works; the fan fixing seat is arranged between the air inlet valve seat and the fan, is used for bearing the fan and is detachably connected with the air inlet valve seat; the filter membrane is arranged on the side, away from the draught fan, of the draught fan fixing base and located in the air inlet channel. The sampler capable of controlling the opening and closing of the air inlet valve through the fan is arranged, so that the contact and separation control of the filter membrane and the external environment is realized, the pollution of the filter membrane after the sampling is finished is avoided, the influence on the filter membrane when the shell is disinfected is also avoided, and the collection efficiency and the collection effect of the sampler are effectively ensured.

The invention provides microorganism aerosol disinfection equipment, and relates to the technical field of cultivation disinfection, the microorganism aerosol disinfection equipment comprises a rack, the rack is provided with a disinfectant preparation tank body, a microorganism aerosol disinfection tank body and a filtering tank body which are communicated, the disinfectant preparation tank body is internally provided with a micro-nano bubble generator, and the filtering tank body is internally provided with a micro-nano bubble generator; a disinfection powder unpacking and feeding assembly is arranged at the disinfection powder feeding opening, a spherical gas tank is arranged between the disinfection liquid discharging opening and the microbial aerosol disinfection tank body, a liquid inlet atomization pipe and a gas-liquid mixing spray pipe are oppositely arranged on the spherical gas tank, and the microbial aerosol disinfection tank body is connected with an air purification assembly. According to the device, automatic preparation of the disinfectant and injection and atomization of the micro-nano bubbles are achieved, under the dual effects of the micro-nano bubbles and the fog drops, the disinfectant makes full contact with the air of the farm, the disinfection effect of microbial aerosol in the air is improved, the risk of disease transmission is reduced, and the air quality of the farm is improved.

A jet-type ocular surface microbial aerosol direct capture sampling device and sampling method, including a sampler body worn on both eyes, the sampler body is provided with a strap for fixing the sampler body on the head, the middle of the sampler body is a sampling cavity, the sampling cavity is provided with a bracket for placing a sampling dish, the top of the sampler body is provided with a socket, the sampling dish is inserted into the sampler body through the socket and fixed on the bracket, the sampling device also includes a jet device for generating pulse gas to impact the center of the ocular surface tear film to generate aerosol particles, the present invention uses the jet device to spray gas to impact the human ocular surface, and the generated microbial aerosol is captured by the sampling dish for microbial detection, the sampling efficiency is high, the contact area with the ocular surface is large, and the ocular microbial situation is fully reflected. The misdiagnosis and missed diagnosis rate is low, the detection method is non-invasive and painless, the detection method is simple and operable, and sampling and detection can be performed anytime and anywhere.

The invention discloses a photocatalytic inactivation biological aerosol device which comprises a closed reaction cylinder, a temperature adjusting device, a biological aerosol generating device, a biological aerosol collecting device, a gas circulating device and a xenon lamp, and the closed reaction cylinder is provided with an aerosol reaction cabin and a constant-temperature water bath cabin which are distributed inside and outside; the temperature adjusting device is communicated with the constant-temperature water bath cabin through a water conveying pipe; the biological aerosol generating device and the biological aerosol collecting device are respectively connected and communicated with the aerosol reaction cabin through gas conveying pipes; the gas circulating device is connected and communicated with the aerosol reaction cabin through a gas conveying pipe; and the xenon lamp is positioned above the closed reaction cylinder. According to the invention, the conditions of indoor natural light irradiation, basically constant temperature and continuous flow of gas can be simulated, so that the real environment in which aerosol exists indoors can be simulated, and data support is provided for the practical application of the photocatalysis technology in solving the problem of indoor aerosol.

This invention discloses an absolute quantification method for pathogens and drug resistance genes in atmospheric bioaerosols and its application. Addressing the bottleneck of achieving absolute quantification of low-concentration samples while maintaining cell integrity and high-concentration nucleic acid extraction, this invention constructs a collection carrier by immobilizing a hydrophilic mixed cellulose ester microporous membrane on a technical agar plate. This is combined with a flow rate ≤30 L / min impactor sampler, ensuring structural integrity while capturing microorganisms, laying the foundation for flow cytometry quantification. This front-end collection system is deeply coupled with a dedicated cascade lysis and concentration process, enabling the acquisition of high-quality DNA suitable for metagenomic library construction and relative abundance analysis even under short-term, low-flow-rate collection. Simultaneously, the total microbial count is absolutely quantified using flow cytometry on the collected samples, and this result is fused with the relative abundance results. Through synergistic optimization of the entire chain, quantitative analysis of species-level pathogens and drug resistance genes in atmospheric bioaerosols is ultimately achieved.

The invention discloses a test device for researching dynamic migration of aerosol. The test device comprises an experiment device body, and a smoke generator, heat source equipment, a PIV test control device, a simulation adjusting mechanism and an adjusting spraying mechanism are arranged in the experiment device body; according to the test device for researching the dynamic migration of the aerosol, the smoke generator, the heat source equipment, the PIV test control device, the adjusting injection mechanism and the simulation adjusting mechanism are integrated in the test device body; the whole process of aerosol generation, temperature field simulation, flow field visualization measurement and dynamic movement and posture adjustment is integrated, the smoke generator stably outputs tracing smoke or biological aerosol, the heat source equipment accurately controls the indoor thermal stratification environment, the PIV test control device obtains a high-resolution velocity vector field and a vortex structure in real time, and the measurement precision is improved. The angle and the direction of an injection head can be flexibly adjusted by adjusting a multi-stage electric push rod system of the injection mechanism.

The invention discloses a residential building toilet fresh air exhaust control system and an intelligent control method. The method comprises the steps that data of a door state sensor, a closestool state sensor, a hydrogen sulfide sensor and a biological aerosol sensor are collected; the data is transmitted to the intelligent gateway through a communication link; performing multi-source data fusion analysis by the intelligent gateway, and identifying a toilet flushing event, a water seal damage risk and a pollutant concentration trend; according to event recognition and trend prediction results, an exhaust fan and a fresh air fan are controlled to operate in advance, and rapid discharge of pollutants and indoor positive pressure maintenance are achieved; and when the water seal damage risk is detected, positive pressure air supply, pollution gas discharge and water replenishing prompts are triggered. Prediction and intervention control can be carried out before pollutant aerosol is generated, and the ventilation efficiency and the prevention and control effect are remarkably improved.

The invention belongs to the technical field of environmental monitoring, and particularly relates to a method for analyzing micro-nano plastic in atmosphere and a mixed state of the micro-nano plastic based on a biological aerosol single-particle mass spectrometer. The invention discloses a method for analyzing micro-nano plastic in atmosphere and a mixed state of the micro-nano plastic based on a biological aerosol single-particle mass spectrometer. The micro-nano plastic and the mixed state of the micro-nano plastic and other components in the atmosphere can be accurately monitored on line from the angle of a single particle. It is determined that 91 [C7H7 +], 104 [C8H8 +] and 115 [C9H7 +] can serve as characteristic ions (tracer ions) of PS MNPs, meanwhile, the relative peak area of 104 [C8H8 +] is limited to be larger than or equal to 0.005, and particles with PS MNPs characteristics can be successfully distinguished from environmental aerosol.

The invention provides a method for enriching bacteria and fungi in atmospheric environment biological aerosol. Research finds that when the filter membrane is used for enriching bacteria and fungi in the atmospheric environment biological aerosol, the surface of the filter membrane is coated with a protective agent, the enrichment number of the bacteria and fungi in the biological aerosol can be increased, the activity of the bacteria and fungi in the biological aerosol after enrichment can be maintained, and the protective agent comprises glycerin and / or trehalose. According to the method, the enrichment efficiency of bacteria and fungi in the biological aerosol can be remarkably improved, and the method has a wide application prospect in the aspect of subsequent sequencing analysis of microorganisms in the biological aerosol.

A photothermal composition configured to be used in air filter for destroying bioaerosol particles by converting light energy emitted from a light source into heat energy including a photothermal agent is provided. The present invention also concerns an air filter for collecting the bioaerosol particles in an air flow and destroying said bioaerosol particles deposited thereon, including a photothermal agent which converts light energy emitted from a light source into heat energy.