692 results about "Particulate concentration" patented technology

Methods and apparatus are presented using tunable diode lasers for monitoring and / or controlling a high temperature process using an oxidizer containing O2 and organic fuel. Real-time monitoring of key species such as O2, CO, and H2O allow determination of the global or local stoichiometry, gas temperature, particulate concentration, and air entrainment levels into the process. Coupling the measured information with a control system provides a means for optimizing and controlling the process.

A formation fracturing method with which to mitigate risk to hydrocarbon productivity includes pumping fracturing fluid, during at least part of a fracturing job time period, into a well to fracture a formation; generating signals, within the fracturing job time period, in response to at least one dimension of the fracture; and further pumping fracturing fluid, within the fracturing job time period, into the well in response to the generated signals. Further pumping includes controlling at least one of a pump rate of the further pumping and a viscosity (either fluid viscosity or particulate concentration) of the further pumped fracturing fluid. Control can include comparing a measured magnitude of at least one dimension of the fracture represented by the generated signals with a predetermined modeled magnitude of the same dimension. Tiltmeters can be used to sense fracture height and width, for example.

An automated system for concentrating potentially harmful substances from various water types or other non-viscous liquids to facilitate detection of those substances is disclosed herein. The automated system comprises a water pressure driven or pump driven concentration unit that filters the test fluid through a hollow-fiber filter. Material collected on the filter is backflushed into a collection vessel by passing a small volume of sterile solution through the filter in the reverse direction. The automated system can be configured to be portable or to be integrated into a continuous liquid stream for online monitoring of test fluids. Optionally, an electronic signal at the end of the backflush sequence triggers a detector, such as an automated array biosensor, to begin processing and analyzing the sample.

An algae factorization circulating aquaculture system comprises a culture area and a water treatment area. The water treatment area comprises a micro filter tank, a floatation tank, a dark treatment area, a biological treatment area, an ultraviolet sterilization tank, a regulation tank and artificial wetland. The algae factorization circulating aquaculture system is arranged in a light-transmitting steel frame greenhouse or a brick-concrete structure workshop, the culture area is arranged at the central position of the aquaculture system, the water treatment area is arranged around the culture areas so as to fully utilize plane space of the workshop due to surrounding distribution, the whole workshop is compact in distribution, the system can effectively intercept solid particles in culture water and remove ammonia nitrogen in water, high particulate matter concentration water can be collected in a concentration mode and secondarily used through the artificial wetland, environmental pollution and waste caused by direct emission are effectively reduced, culture scale can be large or small, culture facilities are simple, system investment is low, and the system is suitable for individuals or families to perform aquaculture production and is favorable for being popularized and applied.

The invention relates to a method for measuring the mass concentration of a particulate matter. A processor controls a sampling pump so that airflow enters from a particulate matter collecting unit, atmospheric particulate matter information is acquired, whether an instrument needs to be calibrated is judged, a beta-ray calibration module is started to calibrate the parameter values of a light scattering measurement module if calibration is needed, and the light scattering measurement module is turned on after the parameters are calibrated; and if calibration is not needed, the light scattering measurement module directly carries out measurement. By combining a light scattering method for measuring the concentration of the particulate matter with a beta-ray method, the measurement is accurate and data are directly read on line in real time; the beta-ray calibration module and the light scattering measurement module share one gas path, so as to ensure that various conditions in the calibration process are consistent and reduce error factors; and the parameters of the light scattering measurement module are calibrated by using the beta-ray calibration module when the measurement environment is changed, and the light scattering measurement module is separately utilized to measure the concentration of the particulate matter when the measurement environment is not changed.

The invention discloses a sensor, a monitoring station based on the sensor and a monitoring method of the monitoring station. The monitoring station comprises a cloud server device and a plurality of sensors and also comprises temperature and humidity sensors corresponding to the sensors both in number and position, wherein the cloud server device is in signal connection with atmosphere particle monitoring sensors and national-level monitoring stations. The sensor, the monitoring station and the monitoring method have the benefits that atmospheric particulates are continuously and automatically measured, the measurement cost is low, the concentration of atmospheric particulates can be measured in real time, maintenance is convenient, and defects that an ordinary light scattering method is poor in accuracy, short in service life and not suitable for outdoor measurement and the like are overcome.

The invention discloses a vehicle particle emission measuring device which comprises a particle concentration tester and a data recording and processing module. A tail pipe is sequentially connected with a sampling probe and a sampling dilutor before being communicated with the particle concentration tester, thereby forming a gas flux channel. The sampling dilutor is connected with a diluting control device. The particle concentration tester is connected with a vacuum pump. A pressure sensor and an exhaust flow-meter are arranged in the tail pipe respectively. The pressure sensor, the exhaust flow-meter and the particle concentration tester transmit signals to a data recording and processing module respectively. The invention also discloses a method employing the mentioned measuring devices for vehicle particle emission measurement. The device of the invention arrives at the amount of the mass of particle matters exhausted during the testing process by calculating the data collected by relevant devices, instead of weighing, and can reflect objectively the weight of particle matters exhausted during any test time period, which in turn can play an important role in making effective control tactics.

The invention discloses a data fusion-based atmosphere particulate matter remote sensing monitoring method, and relates to the technical field of air quality monitoring. According to the method, particulate matter concentration data of complete coverage space are obtained by fusing satellite remote sensing inversion data and ground surface monitoring data and performing interpolation operation on a fused result, so that the problem of particulate matter concentration data deficiency caused by weather, a satellite orbit interval, a cloud cover problem and the limitation of a dim target inversion algorithm is effectively solved, and the accuracy rate of air quality monitoring is greatly improved.

The invention provides an indoor air PM2.5 (fine particulate matter) control system and a control method thereof, relates to the technical field of air-conditioners, and solves the technical problem of reducing the concentration of indoor air fine particulate matters. The system comprises a control terminal, an air purifying box, at least one monitoring gateway and a plurality of dust sensors. Each dust sensor is connected to the control terminal through each monitoring gateway. The air purifying box is mounted at the fresh air inlet of a central air-conditioner, a cyclone and a water jetting rack are arranged in the air purifying box, and a water tank is mounted on the air purifying box. The water jetting rack is located between the air outlet end of the cyclone and the air outlet of the air purifying box, and a plurality of ultrasonic nozzles are fixed on the water jetting rack. The outlet of the water tank is connected to water inlets of the ultrasonic nozzles through a pressure pump. The control terminal is provided with a water jetting signal output end connected to the control end of the pressure pump. The system and the method have the advantages that the concentration of the indoor air fine particulate matters can be lowered.

The invention discloses an atmospheric environmental-friendly optical detecting instrument, and particularly discloses measurement of the average particulate size of atmospheric inhalable particulates and detection of particulate concentration. A multi-wavelength output optical maser sends out laser with certain wavelength under the drive of a DSP (Digital Signal Processing) control module; the laser passes through a single mode fiber, is coupled by an optical fiber coupler, enters a multi-optical path sample cell through an incidence hole, interacts with gas to be measured, mainly has scattering and absorbing effects with the gas to be measured, is reflected for several times in the sample cell, and then is ejected out of the sample cell through the incidence hole; the scattered and absorbed gas enters a photoelectric detector through a laser signal ejected out of the sample cell through the incidence hole, and is converted into a weak electrical signal; the electrical signal is conditioned by a signal conditioning circuit and is input into an A / D conversion module of a high-speed DSP controller; the average particulate size and concentration are calculated under the control of a calculation procedure, and are displayed on an LCD (Liquid Crystal Display) module; in addition, the electrical signal can also be transmitted to a remote monitoring device through a wireless communication module.

The invention relates to a measurement method of smoke concentration, temperature and particle concentration distributions and a device thereof, in particular to a measurement method by using multi-source tomography technology while reconstructing smoke concentration, particle concentration and temperature distributions and a device. The method comprises the following steps of: transmitting a laser signal to an optical fiber collimator; making reciprocating swing movement as soon as the optical fiber collimator emits a light beam; reflecting the light beam by a film-plated columnar reflector to a photodetector after passing through a flue outlet; transmitting the measurement signal to a computer by the photodetector to obtain the projection data of a fault plane at different angles; reconstructing gas concentration and temperature by using the projection data; and reconstructing particle concentration by using the projection data. In the invention, a tunable laser respectively scans a particle and a smoke influencing regions, so that the measurements of the smoke and the particle are independent from each other; the fault plane distributions of smoke, particle concentration and temperature can be reconstructed at the same time to achieve 3-dimensional reconstruction; the measurement of fault plane parameters has short time and dynamic change; and the measurement cost is very low.

The invention discloses a calibration method and a calibration system for a dust tester. The calibration system for the dust tester comprises a dust mixing device for obtaining mixed gas with uniform particle distribution, and a sampling calibration device for sampling the mixed gas to obtain first particle concentration and performing calculation processing according to the first particle concentration and second particle concentration which is obtained by detecting the mixed gas through the dust tester to be calibrated and is displayed by the dust tester to be calibrated to obtain a relative error of the dust tester to be calibrated. According to the calibration method and the calibration system for the dust tester, the accuracy and the traceability of the calibrated dust tester can be guaranteed.

The invention proposes a purifier filter screen overdue prompt method and a purifier filter screen overdue prompt device and a purifier. The purifier filter screen overdue prompt method comprises the following steps: the particle concentration value is obtained; the CADR value and the operation time of each gear of the purifier are obtained; the mass of particles accumulatively filtered by the purifier is calculated according to the particle concentration value, the CADR value and the operation time of each gear; the total mass of the particles capable of being filtered by a filter screen is obtained; and when the mass of the accumulatively filtered particles is greater than the total mass of the particles capable of being filtered by the filter screen, the overdue prompt of the filter screen of the purifier is performed. The method can improve the overdue prompt accuracy of the filter screen to prevent the resource waste or the use of the filter screen without purifying capacity.

The invention provides a purifier filter screen expiration reminding method and device and a purifier. The purifier filter screen expiration reminding method comprises the steps of acquiring the concentration value of first particulate matter, wherein the concentration value of the first particulate matter is the concentration value of particulate matter existing before purification conducted by a filter screen of the purifier; acquiring the concentration value of second particulate matter, wherein the concentration value of the second particulate matter is the concentration value of particulate matter existing after purification conducted by the filter screen of the purifier; calculating the filtering capacity value of the filter screen of the purifier according to the concentration value of the first particulate matter and the concentration value of the second particulate matter; acquiring a purifying capacity-free threshold value, comparing the filtering capacity value with the purifying capacity-free threshold value, and reminding people of expiration of the filter screen of the purifier when the filtering capacity value is smaller than the purifying capacity-free threshold value. By the adoption of the method, filter screen expiration reminding accuracy can be improved, and resource waste or using of a filter screen without purifying capacity is avoided.

The invention discloses an air quality space-time prediction method based on a long-term and short-term memory neural network. Particulate matter concentration data of an experiment station and a nearest adjacent station, meteorological data and gaseous pollutant data in the same period are integrated and converted into a supervised learning data format, normalization processing is carried out onthe data, and a prediction sequence of the air mass concentration is obtained by training the data through the long-term and short-term memory network. The method comprises the following steps: S1, acquiring historical air quality data and meteorological data; S2, performing data preprocessing, including abnormal value elimination, missing value interpolation processing, extraction of particulatematter concentration data of adjacent stations and data normalization, on the historical air quality; S3, converting a data format from a sequence to input and output sequence pairs; S4, dividing thedata set into a training set and a test set, and initializing various hyper-parameters of the long-term and short-term memory network; and S5, testing the model effect through prediction on the test set. According to the method, the prediction precision of the air quality data can be improved.

An automatic particle monitor belongs to the technical field of atmosphere monitoring equipment and is used for monitoring the concentration of particles in atmosphere. The technical scheme includes that the automatic particle monitor consists of a dust sample separating portion, a dust sample collecting portion, a paper tape conveying portion, a dust sample detecting portion and a constant-flow portion, a cutter component of the dust sample separating portion is in direct-insertion type hard connection with a sampling tube of the dust sample collecting portion, a pipeline adapter connected to the lower end of the sampling tube is hermetically connected with a shell, the dust sample detecting portion is embedded in the dust sample collecting portion, a glass fiber filter tape of the paper tape conveying portion penetrates between a direct-proportion counter of the dust sample detecting portion and a radioactive source, a plurality of sensors and an adjusting valve of the constant-flow portion are connected onto a pipeline at the rear of an air outlet tube of the dust sample collecting portion, and the adjusting valve is connected with an external pump. The automatic particle monitor has the advantages that the automatic particle monitor is simple in structure, long in operating cycle and convenient in maintenance, monitors data fast and accurately, realizes real-time transmission and control with a center control station, does not need reagent, is pollution-free, and the like.

The invention discloses a real-time detection and analysis method of an indoor air bacteria content based on the Internet of Things. The method comprises the steps of: generating a bioaerosol detection concentration curve; generating a particle concentration curve; performing statistics on environmental parameters within a set time range; performing calculation in combination with the bioaerosol detection concentration curve and the particle concentration curve to obtain the real-time bioaerosol concentration in the current environment; and performing calculation in combination with a room type to obtain an indoor air real-time bacteria content in the current environment. By adopting of the real-time detection and analysis method disclosed by the invention, the real-time detection of the bacteria content in the current environment can be achieved to guide the startup of disinfection and sterilization equipment and to assist the decision making of the indoor environmental emergency treatment, in addition, in combination with an access control subsystem, a photographing subsystem an environment detection subsystem, the change trend of the indoor air bacteria content is estimated, early warning in advance is achieved, the instructions are more precise, the energy consumption is effectively reduced, the early warning of high-risk environment is timely, the occurrence of mass healthevents is reduced, meanwhile the process can be tracked, and the result can be traced.

The invention discloses a cloud processing-based vehicle-mounted mobile atmosphere particle pollutant environment detection method and system. The system is used for detecting PM 2.5 in a city region and mainly comprises a front vehicle-mounted detection device and a rear cloud processing platform. The front vehicle-mounted detection device utilizes an infrared scattering method to detect atmospheric particulate data. PM 2.5 atmospheric particulate data is acquired by an infrared light sensor. A sensor channel acquires a particulate concentration by an infrared scattering method. An air collection channel is provided with a fixed heating source. The heating source is used for dynamic acquisition of air particles. Through photoelectric signal transition, the atmospheric particulate concentration information is converted into corresponding PWM waveform data, the waveform data is subjected to data collection processing and data fitting, and the measured PM 2.5 atmospheric particulate data is stored in a rear cloud memory and a process database. The background device carries out data storage and data processing. A wireless communication network carries out atmosphere data real-time publication.

The invention discloses a system and method for stereoscopically monitoring particulate matters in regions such as construction sites, roads and stockyards, and relates to the field of environment monitoring. The system comprises light scattering particulate matter monitors, a micropulse horizontal scanning laser radar and an industrial personal computer, wherein the light scattering particulate matter monitors are arranged in the regions to be monitored and all positioned at the same altitude; the micropulse horizontal scanning laser radar is arranged above the regions to be monitored; all the light scattering particulate matter monitors and the micropulse horizontal scanning laser radar are connected with the industrial personal computer. According to the system and the method, disclosed by the invention, the stereoscopic monitoring to the particulate matter concentration is realized by respectively monitoring the particulate matter concentrations at high level and low level and utilizing a three-dimensional technology and a different value simulating operation technology of GIS (Geographic Information System) to obtain the stereoscopic distribution diagram of the particulate matter concentration in the region to be monitored, so as to realize analysis and judgment on the pollution source and the pollution diffusion situation.

A method, apparatus and program product for differential particle detection in electronic devices is provided. A first particulate sensor is positioned in proximity to an air intake of the electronic device. A second particulate sensor is positioned in proximity to the air exhaust of the device. A comparator compares the particulate concentrations detected by the first and second particulate sensors. Differential particle detection between the air intake and air exhaust of an electronic device enables early detection of potential fire conditions existing within the electronic device.

The invention provides an air conditioner filter screen detection method and device, a storage medium and an air conditioner. The air conditioner control method comprises the steps that the cleaning time count of an air conditioner filter screen is accumulated, and the cleaning time count accumulated in unit time is determined according to the concentration of particulate matters in a room and thecontinuous running time of a fan; and if the accumulated cleaning time count of the air conditioner filter screen is larger than or equal to a preset first accumulated count threshold value, the airconditioner filter screen is judged to need to be replaced and / or cleaned. According to the technical scheme, the function of automatically remind to replace a high-efficiency filter screen when the service life of the high-efficiency filter screen of the air conditioner comes to the end is achieved, people can be accurately reminded to replace the filter screen in different use environments, thecleaning time of the high-efficiency filter screen of the air conditioner is counted, so that the dustiness degree accuracy of the high-efficiency filter screen is higher, the cleanliness of indoor air is improved, the purification function of the high-efficiency filter screen is fully utilized, and the user experience is good.

The invention discloses a device for detecting PM2.5 particulate matters based on a disc micro-machine resonator and provides a novel mass method detection mechanism of PM2.5 particulate matters based on a planar resonant mode of an aluminum nitride disc resonator. The novel mass method detection mechanism is used for detecting concentration of PM2.5 particulate matters in air by detecting change of resonant frequency of the disc resonator under the condition of deposition particulate matters. An electrostatic driving and absorbing device of PM2.5 particulate matters in air, a particulate matter filtering device, a mass method detecting micro-machine sensing unit are manufactured by using an MEMS (Micro-electromechanical System) manufacturing and integrating process based on the detection mechanism; the structures are integrated in a micro integrated encapsulation unit to form the device for detecting PM2.5 particulate matters so as to realize high-precision and quick detection of the PM2.5 particulate matters in air; micro-machine devices manufactured by using the MEMS process are used in the device for detecting PM2.5 particulate matters, so that the size and the power consumption of the detection device are reduced, the microminiaturization and the integration of the detection device are realized, the detection precision and the detection speed of the PM2.5 are improved and the resonance performance and the detection precision reliability are improved.

The invention provides an atmospheric pollution satellite remote sensing monitoring method and device and a computer readable medium and relates to the technical field of data processing. The atmospheric pollution satellite remote sensing monitoring method comprises the steps of obtaining a satellite remote sensing data of a target monitoring area, wherein the satellite remote sensing data comprise satellite remote sensing data of a dark target area and satellite remote sensing of a bright target area; correspondingly carrying out inversion calculation on the satellite remote sensing data of the dark target area and the satellite remote sensing of the bright target area so as to determine aerosol optical thickness of the target monitoring area; constructing a particulate matter concentration model of the target monitoring area on the basis of the aerosol optical thickness of the target monitoring area and particulate matter concentration of the target monitoring area; inverting particulate matter concentration near the ground by using the particulate matter concentration model; by overlaying ground kilometer grid layers, screening the overlaid ground kilometer grid layers to obtaina targeted grid of the target monitoring area; and constructing a targeted grid distribution thematic map. The atmospheric pollution satellite remote sensing monitoring method provided by the invention has the advantage that a technical problem of lower monitoring accuracy of an existing pollutant monitoring technology is solved.

An air induction system for a vehicle engine includes a sensor assembly for monitoring particulate concentration. The sensor assembly is mounted within an air intake housing, which has an inlet and an outlet. An airflow passageway extends between the inlet and the outlet to the vehicle engine. An air filter is mounted within the housing to filter particulates from air flowing through the airflow passageway. The sensor assembly can be mounted to an intake manifold or incorporated into a mass airflow sensor. The particulate sensor generates a particulate signal representative of particulate concentration entering the vehicle engine via the outlet. The signal is sent to an output device monitored by a vehicle operator.

The invention provides an automatic two-channel atmospheric particulate monitoring device, belongs to the technical field of atmosphere monitoring devices and is used for simultaneously monitoring PM2.5 concentration and PM10 concentration in atmosphere. The technical scheme is that a cutting device of a particulate separating and sampling module of the device is connected with two sampling tubes, the two sampling tubes are connected with two detecting channels of a two-channel dust sample detecting module, a filter paper band penetrates between a detector and a radioactive source, a plurality of sensors and an adjusting valve of a two-channel constant-current control module are connected on a pipeline at the rear portion of an air outlet pipe of the two-channel dust sample detecting module, and the adjusting valve is connected with a sampling pump. The automatic two-channel atmospheric particulate monitoring device can finish an automatic atmospheric particulate detection task, can simultaneously measure PM10 particulate concentration and PM2.5 particulate concentration and achieve continuous, on-line, real-time and automatic detection, has the remarkable advantages of being simple in structure, long in operation period, convenient to maintain, quick and accurate in data detection and capable of performing real-time transmission and control together with a central control station, and has high economic benefit and social benefit.

An aerosol antiperspirant composition is provided. The aerosol antiperspirant composition includes a propellant having a concentration from 30% to 65% by weight and an antiperspirant composition. The antiperspirant composition includes one or more liquid materials, wherein the one or more liquid materials comprise one or more non-volatile silicone fluids having a concentration from 40% to about 70% by weight; antiperspirant active particulates; one or more non-antiperspirant active particulates that are substantially inert; and wherein the antiperspirant composition has a total particulate concentration from 30% to about 60% by weight and the antiperspirant composition has a viscosity greater than 1,000 centipoise.

The invention discloses a method for estimating the concentration of near-ground inhalable particles (PM10) based on observation data of atmospheric visibility and relative humidity. The method comprises the steps of (S1) calculating a near-ground aerosol scatting coefficient based on horizontal visibility observation data, (S2) calculating aerosol average quality scattering efficiency based on a near-ground aerosol extinction coefficient and PM10 quality concentration, (S3) establishing a correlation model of the aerosol average quality scattering efficiency and the relative humidity according to seasons, background environments and meteorological information, and (S4) estimating the PM10 concentration based on the observation data of the atmospheric visibility and the relative humidity by using the correlation model in the step (S3). According to the method, the near-ground particle pollution level is estimated based on the meteorological data such as the atmospheric visibility and the relative humidity, the deficiency of a particle ground monitoring station can be effectively compensated, and the spatial range of the particle concentration monitoring can be expanded.

The invention discloses an air purifier control method. An air purifier comprises a particle adsorption device and a particle sensor. The method includes the steps that after the air purifier stops running, the particle concentration of the indoor environment existing during the last start of the air purifier is obtained as the first concentration, and the first time corresponding to the first concentration is determined; after running is stopped for the period of the first time, the air purifier is controlled to be restarted. The invention further discloses an air purifier control device. It is ensured that the air purifier is automatically started at the right time to run and purify air, the quality of air in the indoor environment is improved, the intelligence degree of the air purifier is improved, and the control over the air purifier is more accurate.

A transducer used for monitoring particle concentration of environmental air is prepared as crossing light channel of light source emitter with air stream channel at detection hole of air stream channel, entering light refracted from detection hole into light detector through detection channel, setting air inlet at one side of detection hole on air stream channel and setting air extraction fan at another side of said detection hole.

A device used for measuring concentration of optical velocity particle consists of LED and modulation circuit. It is featured as setting photoelectric diode detector in front of LED, amplifying signals by said detector then sending them to two low frequency band-pass filters, sending signals outputted by filters to computer through A / D conversion, calculating cross-correlation of two signals and their flow velocity by computer then calculating concentration of particle after signal is passed through two filters and is converted by A / D conversion.