32 results about "Air pollutants" patented technology

This invention relates to the field of air pollutant detection technology and discloses a method for detecting excessive emissions of air pollutants. The method includes: acquiring pollutant concentration data from multiple monitoring points in a target area to form a raw dataset; performing outlier detection and correction, removing sensor malfunction outliers to obtain a preprocessed dataset; extracting concentration change trend characteristics within a preset time window for each monitoring point to construct a spatiotemporal feature matrix; inputting the matrix into a pollutant diffusion model to calculate the transmission paths and intensities between monitoring points, generating a regional transmission network; identifying potential source areas of abnormal pollutant concentration fluctuations based on the network and marking them as candidate areas for verification; performing multi-scale concentration gradient analysis on the candidate areas to determine key monitoring areas; deploying mobile equipment in the key monitoring areas to collect high-precision component data; comparing this data with a standard emission source feature library, matching emission source types with similarity exceeding a threshold, determining whether emissions exceed standards, and generating a detection report.

1. Name of the design product: waste gas electric purification bin. 2. Use of the design product: used for purifying air pollutants such as dust, PM2.5, malodor, odor, organic volatile matter, VOCs, etc. generated in industrial or commercial activities. 3. Design points of the design product: in shape. 4. Picture or photo that best indicates the design points: perspective view.

This invention proposes a multi-parameter monitoring data calibration method based on a teacher-student model. The steps are as follows: First, acquire and preprocess time series related to multivariate air pollutants from multiple air quality monitoring devices to obtain multivariate time series. These multivariate time series and their corresponding actual concentrations constitute an air quality monitoring device dataset. Second, use the dataset from a reference air quality monitoring device to construct a supervised dataset to train a cloud-based teacher model, optimizing the model parameters using the AFSA algorithm. Third, select multivariate time series from relatively stable periods as local training samples, inputting the predicted concentrations obtained from the trained cloud-based teacher model as labels to train a student model. Fourth, use the AFSA algorithm to optimize the model parameters. Finally, use the student model to process the real-time collected time series to obtain the prediction results. This invention enables automated calibration of air quality monitoring device data, effectively improving data accuracy and management efficiency.

This invention relates to the field of air pollutant control and environmental protection materials technology, and discloses a low-temperature oxidation adsorbent and its application in flue gas NO. X The deep denitrification process utilizes a low-temperature oxidation adsorbent comprising an amino-functionalized micron-sized diatomite core layer and an aldehyde-functionalized nano-manganese-cerium composite oxide active shell layer. The core layer and the active shell layer are bonded by Schiff base covalent bonds formed by the condensation of amino and aldehyde groups, and C=N covalent bonds are formed at the interface between the two phases, constructing a micro-nano hierarchical composite material with integrated adsorption and catalysis functions. The micro-nano dual-scale rough structure on the surface of this material, along with the synergistic effect of low surface energy phenylsiloxane and diundecyl long-chain hydrophobic groups, endows the catalyst with excellent hydrophobic properties. Under harsh high humidity conditions of 100℃ and 10-20 vol% H2O, the catalyst can still maintain a denitrification rate of over 81%, and the activity loss rate is significantly lower than that of traditional physical mixed catalysts, effectively coping with fluctuations in industrial high-humidity desulfurization flue gas.

This invention discloses a method and system for assessing tunnel smoke conditions, belonging to the field of traffic management technology. The method includes: simulating predicted diffusion data of air pollutants in the current tunnel using the lattice Boltzmann method, which can accurately simulate the diffusion of air pollutants and facilitate subsequent analysis; acquiring environmental parameters of the current tunnel to correct the predicted diffusion data, which can improve the accuracy of the predicted diffusion; simulating the discrete migration behavior of moving units in the tunnel based on cellular automata and two-dimensional grids, which can simulate the behavior of moving units in the tunnel and facilitate the determination of the development of the situation; and establishing a tunnel smoke accident situation assessment model based on fuzzy hierarchical analysis, which combines the predicted diffusion data, the environmental parameters, and the discrete migration behavior to output an assessment value, which can numerically describe the changes in the accident situation.

The application provides a glass melting furnace flue gas fine arsenic removal coupled with denitration purification device and method, and relates to the technical field of environmental protection and flue gas treatment. The glass melting furnace flue gas fine arsenic removal coupled with denitration purification device provided by the application comprises a heat exchanger, a first-stage quenching tower, a second-stage quenching tower, a filtering device, a power wave washing device, a demister and an NH3-SCR denitration tower. Through the combined process of "quenching arsenic precipitation-power wave deep arsenic capture-heat exchange temperature rise-NH3-SCR denitration", the application realizes the synergistic and efficient purification of As2O3 and NO x , achieves the purposes of fine arsenic removal and denitration (As2O3≤0.5mg / Nm 3 , NO x ≤100mg / Nm 3 ), and the flue gas meets the standard emission of "Glass Industry Air Pollutant Emission Standard" (GB 26453-2022), has low operation energy consumption, zero emission of waste water recycling, and provides a flexible and efficient solution for glass melting furnace flue gas purification.

An apparatus and methods are provided for a reusable multi-pocket V-bank air filter to remove contaminants from air within interior building environments. The air filter includes multiple reusable filter bags for filtering an airstream. A frame supports the filter bags in V-configurations within an HVAC system. Adjacent filter bags are offset from one another and extend in the V-configurations downstream of the frame when the airstream flows into the filter bags. Elongated openings in the frame allow the airstream to flow through the frame into the filter bags. The elongated openings include filter bag retainers for individually coupling the filter bags with the frame. The filter bags can be removed from the frame for servicing without removing the frame from the HVAC system. The filter bags can be cleaned by removing them from the air filter, flushing contaminants from the filter bags, and allowing the filter bags to dry.

This invention discloses a method for preparing a low-temperature water-resistant molecular sieve catalyst for the purification of multiple air pollutants. A silicon source, aluminum source, alkali source, water, template agent, metal salt, and phosphoric acid are aged and crystallized to obtain product A. This product A is then reacted in an acidic solution to obtain product B, followed by reaction in a metal solution to obtain product C. Ammonium and copper exchange processes are then performed to obtain the low-temperature water-resistant molecular sieve catalyst. This invention utilizes a synthesis strategy combining d-band center regulation with in-situ introduction and directional doping of molecular sieve confinement effects. Highly dispersed and electronically optimized metal cluster active sites are constructed within the molecular sieve cage. This design enables the catalyst to heterolytically dissociate water at low temperatures, generating highly active hydroxyl groups and protons, significantly enhancing the long-term water resistance of the catalyst in denitrification reactions, greatly improving the migration and reaction efficiency of oxygen species, and thus driving the efficient oxidation of CO at low temperatures.

The invention relates to a method and a device adapted for the selective counting of individual respiratory droplets and particles comprising water within ambient air. The method is based on a planar capacitive sensor to which droplets and particles are led with a nozzle, which increases their velocity. Entering the electric field of the capacitive sensor, the respiratory droplets and particles change the sensor's capacitance. Because the respiratory droplets and particles containing water exhibit a notably distinct dielectric constant compared to other airborne particles and the air itself, they are counted in a selective way independently on other particulate matter air pollutants. The alteration in the capacitance is converted into an electrical signal, which is measured by known methods.

This application relates to a humidifier filter structure, including a filter support with at least one air inlet on its side wall. The air inlet has a first mounting groove and a second mounting groove arranged sequentially along the airflow direction. A purification filter is detachably embedded in the first mounting groove for filtering air pollutants entering the humidifier. A humidifying filter is detachably embedded in the second mounting groove for humidifying the filtered air. This application aims to solve the technical problem of traditional filter structures lacking air purification capabilities.

The utility model discloses a kind of composite processing purification devices of mute safety, belong to air purification technical field, including device pipe body, the inside detachably installation of device pipe body one end has primary filter element, fan is installed in the front of primary filter element, insulating cover is installed in the front of fan, high-voltage electrostatic precipitator is detachably installed in the inside of insulating cover, soundproof board is installed in the front of high-voltage electrostatic precipitator, adsorption decomposition co-effect filter element is installed in the front of soundproof board, gathering cover is installed in the front of adsorption decomposition co-effect filter element;The utility model, by primary filter element filtering solid-state foreign matter, high-voltage electrostatic precipitator adsorbs fine particulate matter, adsorption decomposition co-effect filter element removes gaseous pollutant, cooperate anion generator and anion emitter in gathering cover improve air and inhibit microorganism, and many components are cooperated to realize the comprehensive treatment to air pollutant, and the purification effect is greatly improved.

The application provides a honeycomb serpentine structure, a preparation method and an application method, and belongs to the field of functional materials and preparation and application. The serpentine structure is columnar, has continuous honeycomb units in the cross section, each honeycomb unit forms a through hole in the columnar structure, and the honeycomb wall uniformly contains 60%-90% serpentine material, has the functions of releasing negative oxygen ions and adsorbing air pollutants; the honeycomb unit is a regular hexagon, a regular quadrilateral or a circle; during preparation, 10%-40% of sintering aids in total mass are added into the crushed serpentine powder, then a primary mud is prepared, the honeycomb green body is obtained through exhaust and extrusion molding; the green body is immediately subjected to microwave shaping after demolding; and then drying and ladder type calcination are carried out, so that the honeycomb serpentine structure is obtained. The application provides a novel air improvement structure material, and the production yield of the prepared product is high, the production cycle is short, and the production cost is low; and the application can be used for releasing negative oxygen ions into the surrounding air.

This invention relates to brown algae ( ) Alaria esculenta The extract is used as a cosmetic active ingredient to protect the scalp from the harmful effects of indoor or outdoor air pollutants, including: toxic gases such as sulfur, sulfur dioxide and ozone; heavy metals such as cobalt, mercury, cadmium, lead and nickel; precious metals such as rhodium, platinum and palladium; volatile organic compounds (or VOCs); tobacco smoke such as cigarette smoke, and dust.

This invention belongs to the field of environmental protection in hydraulic fracturing, specifically relating to an environmental protection method for hydraulic fracturing, comprising the following steps: S1, collection and homogenization; S2, preliminary filtration; S3, primary preheating; S4, secondary preheating; S5, associated gas pressure stabilization; S6, catalytic combustion; S7, high-pressure atomization; S8, spray evaporation and pollutant incineration; S9, waste heat recovery; S10, condensation; S11, product water collection; S12, tail gas recirculation treatment; S13, reuse. This environmental protection method for hydraulic fracturing, through a technical approach combining catalytic combustion and spray evaporation incineration, completely decomposes organic pollutants in the return fluid into carbon dioxide and water at high temperatures, achieving complete mineralization of the pollutants. Compared to the hazardous sludge produced by traditional coagulation and sedimentation methods, or the high-concentration brine produced by membrane separation methods, this method eliminates the problem of solid waste or concentrated liquid discharge. The full recirculation treatment of tail gas ensures that non-condensable gases are returned to the burner for complete decomposition, achieving near-zero emissions of air pollutants.

The invention relates to a compact air purification device based on ion thruster technology During operation, the ion thruster generates ozone (O₃) as a byproduct of oxygen ionization. This ozone is directed into a reaction chamber where it oxidizes volatile organic compounds (VOCs) and other airborne pollutants. The system eliminates the need for external fans or filters by using the natural airflow created by the thruster itself. Key components include an ionization chamber, a grounded copper ring, a high-voltage accelerator grid, and a downstream reaction zone. The device operates effectively in low-humidity environments, where ozone remains stable and highly reactive. This integration of aerospace propulsion and environmental chemistry offers a novel, energy-efficient solution for air treatment in enclosed or emergency settings. The invention is suitable for use in homes, laboratories, industrial spaces, and mobile purification units.

The utility model relates to a mask technical field discloses a kind of masks of improving stiff support, including main body, the inside of main body covers user face, for filtering air pollutant;Nose bridge strip, is located at the top of main body, for making main body top deformation to be fitted in the nose bridge of user;Wearing piece, connected to the main body, for around the ear of user or head and neck to realize main body wearing;Inner lining, be located on the main body, for supporting the main body to prevent its deformation collapse in user face.By increasing inner lining on mask, so that mask does not easily with the vigorous breathing of wearer and occur deformation, mask does not collapse or distortion when increasing wearing comfort, it is also favorable to more smooth breathing or speaking communication, so that mask has the function of stable wearing for a long time.

This application relates to the field of air pollutant or nuisance source identification and detection technology, and discloses an air pollution and nuisance investigation device, system, and method. The investigation device includes: at least two air intake units and corresponding sensor units, a central processing unit, and a motion unit; the at least two air intake units are tilted in different directions to collect at least two air samples from different directions and positions; the sensor units detect the air samples to obtain concentration data of air pollutants and / or nuisance sources in the air samples; the central processing unit generates motion signals based on the differences in concentration data; and the motion unit controls the investigation device to orient and move according to the motion signals. The investigation device of this application can collect at least two air samples, accurately and efficiently detect the concentration data of multiple air pollutants, and use this concentration data to control the device to effectively move towards the pollution source, quickly locating the pollution source.

The application discloses a single robot air pollutant tracing method based on an ISurge algorithm. Due to irregular and violent fluctuation of airflow information in a ventilation environment, diffusion and concentration distribution of air pollutants are irregular, so that air pollutant tracing has great challenges. At present, there are mainly fixed sensor network method and robot olfaction method for pollutant tracing, and the latter is widely applied due to its high efficiency and strong adaptability. However, the single robot tracing method is prone to losing a smoke plume in the ventilation environment, and the success rate and search efficiency are low. Therefore, the application comprehensively utilizes concentration information and airflow information, calculates a moving direction through a robot executing the ISurge algorithm, searches for the smoke plume and continuously tracks the smoke plume to approach a pollutant release source, and then the robot confirms whether the source is found through a concentration maximum value method. The ISurge algorithm adopted in the application improves the success rate and efficiency of the robot in the ventilation environment, and effectively avoids the problem of the robot falling into a local optimum.

The present application relates to carbon dioxide filtration technical field, particularly to a kind of food-grade carbon dioxide purification filter equipment, including tank, end cap, filter basket, blowdown unit and cleaning unit.The present application is through the coordinated work of double-layer filter basket that can be relatively moved, inner scraping mechanism, outer scraping mechanism, guide mechanism, impurity removal mechanism and reflux mechanism, without stopping, without opening the equipment, complete to the surface of filter basket Interception impurities scraping, collection, separation and discharge, simultaneously with the liquid entrained is sent back to filtration process, realizes from regular stop dismounting cleaning to online automatic continuous cleaning fundamental change, fundamentally avoids the whole line stop caused by cleaning filter basket, significantly improves production efficiency and equipment utilization, cleaning process is completed in closed system, prevents the invasion of external air pollutants, stably guarantees the clean quality index of product.

An apparatus, and method for air purification is described. In various embodiments herein, we disclose a clean air module and use thereof on an indoor air conditioner unit to maintain air quality. Using the existing infrastructure of an air conditioner air pollutants can be removed. Controlling the air quality helps with the well-being of residents, better cooling / heating, and higher life of the heat exchangers and air conditioners.

This application proposes a composite filter, filter element, and air filtration device, comprising: a pre-filter layer, a structure made of bamboo fiber material, used for pre-filtration of air; and a main filter layer, stacked and connected to the pre-filter layer, comprising one or more combinations of a glass fiber layer, a polyester fiber layer, an activated carbon layer, a meltblown nonwoven fabric layer, and an antibacterial coating. The bamboo fiber pre-filter layer, with its natural porous mesh structure, preferentially intercepts large particulate pollutants, achieving coarse filtration and reducing the load on the main filter layer. The main filter layer, through the synergistic effect of single or multiple mechanisms such as micron-level fiber interlacing, activated carbon adsorption, and electrostatic electret of meltblown fabric, deeply traps fine particles such as PM2.5 in the air after pre-filtration. The two layers work together in a progressively decreasing pore size gradient, allowing air pollutants to undergo a step-by-step purification process from coarse filtration to fine filtration, ultimately improving filtration efficiency.

The present application relates to the technical field of air pollutant or nuisance source identification and detection. Disclosed are an air pollution and nuisance investigation device, system and method. The investigation device comprises: at least two air intake units and corresponding sensor units, a central processing unit and a motion unit, wherein the at least two air intake units are inclined in different directions to collect at least two air samples from different directions and different positions; the sensor units measure the air samples to obtain concentration data of air pollutants and / or nuisance sources in the air samples; the central processing unit generates a motion signal on the basis of a difference in the concentration data; and the motion unit controls the orientation and movement of the investigation device on the basis of the motion signal. The investigation device of the present application can collect at least two air samples, and accurately and efficiently measure concentration data of a plurality of air pollutants, and the concentration data is used to control the device to effectively move towards a pollution source, thereby rapidly locating the position of the pollution source.

The application relates to the technical field of in-vehicle pollution purification test, in particular to an in-vehicle air pollutant purification function environment simulation test system and method. The system comprises: a cabin is located in an outer cabin, and a measured vehicle is arranged in the cabin; a double circulation air duct is used for continuously maintaining the stability of the temperature and humidity in the cabin through an inner circulation air duct and discharging pollutants through an outer circulation air duct when encountering pollution; a pollutant generating device comprises a plurality of pollutant generators and is used for simulating a plurality of pollution environments in the cabin; an air stirring system is used for promoting the flow of air around the measured vehicle, making the pollutants uniformly dispersed to avoid sedimentation, and accelerating the transmission of heat from the outer cabin to each position of the cabin; and a temperature and humidity air inner circulation pipeline is used for realizing the regulation and control of the temperature and humidity of the cabin through the independent inner circulation air duct. The application proposes a method for simulating various air pollution working conditions in a laboratory environment and how to effectively test under such working conditions.

This invention discloses a home FFU air purification system based on high-efficiency filtration, belonging to the field of air purification technology. It includes: an air characteristic sensing module that collects multi-dimensional indoor air pollutant parameters; a filtration strategy generation module that constructs a pollutant concentration-filtration efficiency mapping model and generates a dynamic filtration layer combination strategy; a high-efficiency purification execution module that, according to the dynamic filtration layer combination strategy, drives the FFU fan variable frequency speed control unit and the multi-stage filter switching mechanism to work together to complete air purification and output purified air parameters; and a dynamic feedback adjustment module that calculates the deviation between the purified air parameters and the preset target value, and feeds back to correct the mapping model parameters of the filtration strategy generation module. This invention achieves an intelligent upgrade of the home FFU air purification system from passive response to proactive, precise, efficient, and energy-optimized operation through pollutant trend prediction, scenario-based weight adaptation, and a self-learning optimization model.

The indoor area environment responds quickly to real-time environmental changes, optimizing the system's energy efficiency, maintaining optimal air quality, continuously creating a clean and healthy air environment in indoor areas, and reducing the impact of harmful air pollutants on human health. [Solution] The network-connected cloud computing service device automatically activates the air pollution purification treatment device based on continuous monitoring of ambient air quality by a gas detection module. The network-connected cloud computing service device includes an AI intelligent computing platform. The AI ​​intelligent computing platform features AI intelligent control, intelligent energy management, and fault diagnosis function technologies.

An apparatus is provided for preventing the spread of air-borne contaminants in a defined space. The apparatus comprises an air flow outlet adjacent to or within the defined space, an air flow inlet adjacent to or within the defined space, and a conduit for transporting air from the air flow inlet to the air flow outlet. An air treatment module is provided within or adjacent the conduit for extracting air-borne contaminants from air transported from the air flow inlet to the air flow outlet. The air flow outlet deposits air into the defined space substantially evenly across an outlet area.

This application provides a model building method, an air quality prediction method, and an electronic device. The model building method includes: acquiring a training sample set, which includes first information and numerical model operational data. The numerical model process rate is the process rate of air pollutant changes in a first grid area output by the air quality numerical model based on the first information at multiple first time points; for each change process, using the numerical model process rate of the change process in the training sample as labeled data, training the corresponding process module to obtain the first process module corresponding to the change process; and using the numerical model process rates of various change processes in the training sample as labeled data to train an air quality prediction model. The target air quality prediction model can predict the process rates and total concentrations of various air pollutant changes, making the prediction results reliable and interpretable.