925 results about "Air contamination" patented technology

The invention discloses an air pollution risk prediction and early warning method based on multi-task learning, and the method comprises the following steps: S1, collecting multi-source air pollution monitoring data, and carrying out the preprocessing of the data, and generating preprocessing data; s2, constructing a multi-task learning model, and generating a preliminary prediction result through the multi-task learning model based on an improved multi-head attention mechanism; s3, optimizing parameters of a shared feature extraction layer and a task specific prediction layer; s4, optimizing the preliminary prediction result, and generating an optimized prediction result; s5, generating a risk level, and generating a risk assessment report by integrating the risk information of time and space dimensions; and S6, designing a trigger condition according to the risk level, defining a joint early warning rule, judging and triggering early warning through a dynamic threshold value, and generating early warning information. According to the method, multi-task learning and an improved multi-head attention mechanism are combined, multi-pollutant concentration prediction and risk early warning are realized, and the method has the advantages of high timeliness, high prediction precision and comprehensive risk assessment.

The invention discloses a laboratory air conditioning system and a control method thereof, and particularly relates to the technical field of air conditioning. Intelligent monitoring and dynamic adjustment of air quality in an experiment area are achieved through coordinated work of the central control module, the zone control module and the zone sensor module, the system evaluates the air pollution severity degree of each area in real time according to air quality sensing data, and through dynamic linkage of the air purification module, the air flow control module and the temperature and humidity adjusting module, the air quality of the experiment area can be monitored and adjusted dynamically. In addition, by predicting future air quality changes and adjusting air quality parameters and optimizing energy consumption in advance according to prediction results, it is ensured that energy consumption is reduced while the air quality meets experimental requirements, and the precision and efficiency of laboratory air quality management are remarkably improved.

The invention discloses an atmospheric particle early warning device for air pollution concentration monitoring, and belongs to the technical field of air particle pollutant monitoring, the atmospheric particle early warning device comprises an equipment main body fixedly mounted in a monitoring area, an alarm is fixedly mounted on the outer side of the upper part of the equipment main body, and a fixed pipe is fixedly mounted at the upper end of the equipment main body; a movable pipe is arranged on the inner side of the fixed pipe in a lifting mode, a sampling head is fixedly connected to the top of the movable pipe, a cleaning assembly driven through air pressure change is arranged on the inner side of the sampling head, a base is fixedly arranged on the outer side of the fixed pipe, and a movable plate is arranged on the inner side of the base in a lifting mode; and a backflushing cleaning assembly is connected between the movable plate and the base. The atmospheric particle early warning device for monitoring the air pollution concentration can collect gas samples at different height positions, and can automatically clean impurities attached to the outside of the filter screen and residual gas in a pipeline after sampling is finished, so that long-term and accurate monitoring of equipment is effectively ensured.

The invention belongs to the technical field of air pollution monitoring, and particularly relates to an air pollution monitoring system and method based on big data. According to the method, the pollutant diffusion topological structure is constructed through collection degree fusion of the multi-source environmental data, the prediction accuracy of air pollution monitoring is effectively improved, and when the pollutant diffusion topological structure is constructed, the influence of meteorological parameters and geographic information on a pollutant transmission path is comprehensively considered, so that the prediction accuracy of the air pollution monitoring is improved. The method enables a corresponding prediction mechanism to more accurately describe a pollutant space-time evolution rule in an air environment, introduces a prediction error-based iterative optimization mechanism after a prediction result is output, and compares the pollutant prediction concentration with the actual monitoring concentration in real time, thereby achieving the real-time prediction of the pollutant. And a diffusion weight coefficient and a diffusion probability matrix in the pollutant diffusion topological structure are adjusted, so that a corresponding prediction mechanism can maintain high-precision prediction capability, and relatively accurate data support is provided for early warning of an air environment.

The invention discloses girth welding equipment for pressure vessel production, belongs to the technical field of welding, and aims to solve the problems that the overall production efficiency of welding is low, and the health of operators can be threatened when flue gas is directly discharged into a working environment. A welding device is arranged on the rack, a guide rod is fixedly connected into the rack below the welding device, a servo motor and a first belt are fixedly connected to the bottom end of the rack below the guide rod, the first belt is arranged on the outer side of the extending end of the servo motor in a sleeving mode, a rotating shaft is arranged in the first belt, and a driving gear is arranged on the outer side of the rotating shaft in a sleeving mode. By means of the device, left-right alternate feeding can be achieved, the waiting time is shortened, the welding process is more continuous and efficient, meanwhile, smoke generated during welding can be collected, emission of harmful gas and smoke dust is reduced, and air pollution of a welding area is reduced.

The invention discloses a dynamic tracking method for an air pollution source, which relates to the technical field of pollution source tracking and comprises the following steps of: acquiring a pollution concentration raster data set, a UAV sniffing set and a meteorological field data set, reconstructing a wind field and predicting pollution transportation, generating a candidate source hypothesis, matching fingerprints and calculating weights, adaptively scheduling sensors, and performing Bayesian inversion fusion and result output. Unified pollution concentration and meteorological data are generated through multi-source data collection and three-dimensional flow field reconstruction, second-level wind field calculation is achieved through a dimensionality reduction CFD model, candidate source hypotheses are generated in combination with Lagrange backtracking and Euler transport, and a weight matrix is formed through UAV mass spectrum fingerprint bidirectional matching. Secondary cruise of the unmanned aerial vehicle and densification sampling of ground nodes are driven through confidence ranking, and sampling density is adaptively optimized. Bayesian joint likelihood and Markov chain are adopted to fuse multi-source data, dynamic source coordinates and emission rate are output, and a closed-loop iterative air pollution source tracking system is realized.

The invention discloses an intelligent monitoring system for construction environment pollution, particularly relates to the field of tunnel construction environment pollution monitoring, is used for solving the problems of pollution diffusion and risk assessment, and accurately calculates an air flow vector field through an intelligent air pollution monitoring system in combination with a fluid dynamics principle and a Navier-Stokes equation. Air flow and pollutant diffusion paths in a tunnel are disclosed. And constructing a pressure gradient field, quantifying the pressure difference and air exchange capacity between regions, and providing driving force analysis of pollutant diffusion. Calculating a pollutant transmission coefficient through nonlinear coupling calculation in combination with an air flow correlation degree, a pressure gradient field and an air exchange capability coefficient, and quantifying the pollutant transmission capability of adjacent regions; and then real-time evaluation and grading are carried out on pollution risks, high-risk areas are identified in time, and early warning information is pushed through the intelligent terminal. Therefore, the ventilation strategy is optimized, the energy consumption is reduced, and the health of constructors and the construction safety are guaranteed.

The invention relates to the technical field of air pollution prediction, and provides an air pollution prediction system and method based on meteorological data. The data acquisition and fusion module is used for acquiring meteorological data, air pollutant data and traffic data and carrying out fusion processing on the data; the feature extraction module is used for filling missing data, normalizing the data and extracting features; the pollution prediction module is used for carrying out short-term and long-term prediction on air pollution based on the processed data, and carrying out visual display and air pollution early warning notification on a prediction result; and a model integration module. By integrating data of a weather station, an air pollution monitoring station, a traffic monitoring system and satellite remote sensing equipment, the system realizes comprehensive monitoring of air pollution. The spatial-temporal data fusion unit is used for performing data interpolation and consistency processing, so that the coordination of data from different sources is ensured, more comprehensive and accurate input data is provided, and the reliability of a prediction result is improved.

The invention discloses a system and a method for monitoring olfactory smell in a pension community based on Internet of Things, and relates to the technical field of pension, a TVOC sensor and an ammonia gas sensor are adopted to capture volatile organic compounds released by sweat in real time, and temperature, humidity and air fluidity data are combined to calculate a dynamic air quality index, so that the olfactory smell in the pension community is monitored. The defect that a traditional method only depends on temperature and humidity or CO2 concentration monitoring is overcome; secondly, in the air quality state analysis process, AI analysis is adopted for sweat and odor concentration prediction and pollution trend modeling, a long-short-term memory network LSTM is introduced for time sequence analysis, in combination with air quality change rate and humidity anomaly detection, it is guaranteed that air pollution can be timely and early recognized and predicted, and the problem of monitoring blind areas is avoided; and in the aspect of air optimization regulation and control, the air volume and the purification intensity of the air purification equipment are dynamically adjusted through ventilation control in combination with an air quality optimization instruction and an old people fitness activity mode.

The present invention relates to the technical field of air quality health risk assessment, and discloses a health index assessment method based on composite exposure of multiple pollutants, including the following steps: S1: collecting air pollution, meteorology, hospitalization, and cause of death data, obtaining pollutant, meteorological factor, hospitalization, and death daily value data, and obtaining the 0-2 day moving average concentration of pollutants and the daily average value of meteorological factors; S2: selecting pollutants with statistical significance as pollutants for composite exposure analysis of multiple pollutants; S3: substituting the daily value data of hospitalization and death, the daily average value of meteorological factors, and the 0-2 day moving average concentration of selected pollutants into a multi-pollution model, a Bayesian weighted model, and a mixture analysis model to calculate the corresponding excess risk; S4: respectively calculating the pending CEHI under different air pollutant composite exposures corresponding to the excess risk under different models; S5: selecting a reasonable pending CEHI as the formal CEHI. The present invention can obtain a more accurate and comprehensive joint exposure health index.

The invention provides a traffic flow prediction method fusing air pollution factors, and the method comprises the steps: obtaining a traffic topological structure, historical traffic flow and air pollutant concentration data, constructing a traffic feature matrix, an adjacent matrix, a related pollutant concentration attribute matrix, and a mapping function, the air pollutant concentration data are fused through an attribute enhancement unit; adopting K-means clustering to screen pollutants with the highest correlation with the traffic flow, and utilizing an attribute enhancement unit to integrate the pollutants into traffic flow features; and building and training a deep learning model for traffic flow prediction. According to the method, by combining the relevance between the spatial-temporal characteristics of the traffic flow and the air pollutants, the limitation that an existing method only depends on traffic flow data is overcome, and the prediction accuracy is effectively improved.

The invention discloses a gas detector for air pollution detection, and belongs to the technical field of gas detection.The gas detector comprises an outer shell and an inner shell which are arranged in a sleeved mode and used for detecting gas to be detected; the adjusting mechanism is used for adjusting the height and angle of the detection mechanism; wherein an inner air inlet cavity is formed in the inner shell, and an outer air inlet cavity is formed between the outer shell and the inner shell; a sensor is mounted on the inner wall of the inner air inlet cavity; an exhaust pipe communicated with the inner air inlet cavity is arranged on the outer shell, and a fan is mounted in the exhaust pipe; a rotating ring is rotationally arranged on the radial inner wall of the outer shell and used for adjusting the opening and closing states of the inner air inlet cavity, the outer air inlet cavity and the exhaust pipe. The inner gas inlet cavity is a core detection area, a sensor is installed to make direct contact with to-be-detected gas, and the outer gas inlet cavity is a split-flow filtering area and serves as a temporary storage area of follow-up impurities. The exhaust pipe is communicated with the inner air inlet cavity, the fan is arranged in the exhaust pipe, and the fan provides active air suction and exhaust power and supports reverse blowing and cleaning of residual impurities in the cavity.

The invention belongs to the cross technical field of crowd sensing, air monitoring and artificial intelligence, discloses an intelligent air monitoring node deployment method based on crowd sensing, and aims to solve the problems of insufficient node deployment density, response lag, monitoring blind areas and the like in an existing air quality monitoring system. Firstly, crowd sensing information related to air pollution is extracted from multi-source data such as social media and a public reporting platform, pollution events and spatial positions of the pollution events are recognized through natural language processing and image recognition technologies, and a dynamic pollution sensing thermodynamic diagram is constructed. On the basis, a deep reinforcement learning algorithm framework is designed, factors such as the perception coverage rate, the deployment cost and the communication connectivity are comprehensively considered, and an optimal deployment scheme of the air monitoring nodes is learned and output. The intelligent deployment method designed by the invention has self-adaptive capability, and dynamically adjusts the deployment strategy of the spatial quality monitoring nodes according to the crowd sensing data, thereby improving the response capability of the system to sudden pollution events.

The invention discloses an efficient wet-type cyclone dust collector with dust falling and carbon sequestration functions. The efficient wet-type cyclone dust collector comprises a dust collection chamber with a closed structure, a microorganism culture chamber, a water purification chamber and a sewage chamber, the front end and the rear end of the dust removal chamber communicate with the outside through an air inlet pipe and an air outlet pipe correspondingly, and an axial flow fan and a cyclone separator are fixedly arranged in the dust removal chamber. A microorganism culture tank is arranged in the microorganism culture chamber and comprises a liquid inlet, a liquid outlet, a stirring mechanism and a cleaning mechanism. According to the efficient wet-type cyclone dust collector with the dust falling and carbon sequestration functions, through mutual cooperation of all the parts, a microbial dust removal technology is integrated on the basis of an existing wet-type dust removal technology, energy consumption can be reduced, the dust treatment effect can be improved, greenhouse gases such as carbon dioxide can be captured and fixed, and the dust falling and carbon sequestration functions are achieved. Therefore, air pollution is reduced, the comprehensive energy utilization efficiency of the dust removal system can be improved, and a more environment-friendly and energy-saving solution is provided for the industrial production process.

The utility model relates to the field of earthwork construction, in particular to environment-friendly earthwork construction equipment which comprises a vehicle body and a spraying device, the vehicle body comprises a carriage, a base and a cab, the spraying device is arranged between the carriage and the cab, and the spraying device is fixedly connected with the base; the spraying device comprises a water tank and a water spraying pipe, a water injection opening is formed in the pipe wall of the side, close to the cab, of the water spraying pipe and provided with a hose, the hose is communicated with the water injection opening, one end of the hose is fixedly connected with the water spraying pipe, and the other end of the hose penetrates through the wall of the water tank to enter the water tank. The water tank is provided with a water pump, the water pump is fixedly connected with the water tank and the hose, and when the earthwork is loaded and unloaded, the spraying device can spray water flow, so that the environment becomes wet, dust is reduced, and the effect of reducing air pollution is achieved.

The invention provides a risk tracing method of air pollution to health, and belongs to the technical field of environmental health, and the method comprises the steps: recognizing main air pollutants in a target region and corresponding air pollutant existence sources, obtaining the topographic condition of the target region, carrying out the range expansion of the target region according to the topographic condition, and obtaining the risk tracing result of the target region. Collecting pollutant concentration data and biological health conditions in the expanded area, performing connection analysis, and determining a biomarker related to air pollution according to a connection analysis result; according to the method, the exposure relationship between the biomarker and the air pollutant is evaluated, a health statistical model is constructed according to the biomarker, the pollutant concentration and the exposure relationship, and then health risks of different pollutants under different exposure levels are predicted, so that risk tracing of air pollution to health is realized, and the influence of air pollution on human health is more comprehensively understood. And high-risk crowds and pollution sources are identified.

The invention discloses a terminal-cloud collaborative air pollution monitoring system and a dynamic evolution and traceability method, the air pollution monitoring system comprises an unmanned aerial vehicle, a plurality of carried detection assemblies, a communication transmission module and a cloud management platform, and the system integrates high-precision sensors and advanced data transmission and processing technologies, so that the air pollution can be monitored more accurately and more accurately. The intelligent route planning capability is achieved, and the coverage range, the real-time performance, the accuracy and the response speed of air pollution monitoring are comprehensively improved; the unique system architecture and function optimization of the system not only solve multiple key problems in the prior art, but also show significant advantages in the aspects of monitoring efficiency, data processing, intelligent decision making and the like, and greatly enhance the capabilities of pollution source positioning and pollution prevention and control. And powerful technical support and guarantee are provided for environmental protection and public health guarantee.

The invention belongs to the technical field of indoor air pollution treatment, and particularly discloses an aluminum hydroxide loaded carbon quantum dot material for removing formaldehyde, gel and a preparation method of the aluminum hydroxide loaded carbon quantum dot material for removing formaldehyde, and the preparation method of the aluminum hydroxide loaded carbon quantum dot material comprises the following steps: uniformly mixing, grinding and dispersing amorphous aluminum hydroxide powder and basic amino acid; transferring into a microwave oven for microwave radiation reaction, filtering, washing and drying after the reaction is finished, and then crushing to obtain the aluminum hydroxide loaded carbon quantum dot material. The preparation method is simple in preparation process, short in reaction time and suitable for industrial production, and the prepared aluminum hydroxide loaded carbon quantum dot material and gel are high in formaldehyde removal rate and have long-term effectiveness.

The invention relates to the technical field of non-ferrous metal smelting waste recycling, and discloses a non-ferrous metal smelting waste collecting and treating device which comprises a tank body, and a first pipe and a second pipe which are coaxial with the tank body are sequentially arranged in an inner cavity of the tank body from bottom to top; a feeding cavity gradually reduced from bottom to top is formed between the outer wall of the pipe I and the tank body, a distributing cavity gradually increased from bottom to top is formed between the outer wall of the pipe II and the tank body, a spiral piece is arranged in the feeding cavity, an air supply pipe is fixed at the upper end of the tank body, and the air outlet end of the air supply pipe faces the distributing cavity; a main discharging pipe is fixed to the lower end of the first pipe, an auxiliary pipe is fixed to the lower end of the main discharging pipe, an auxiliary discharging pipe is fixedly connected to the lower end of the tank body, a grinding cavity is formed between the lower portion of the inner circumferential face of the auxiliary discharging pipe and the lower portion of the outer circumferential face of the auxiliary pipe, and a discharging promoting mechanism is arranged between the auxiliary discharging pipe and the main discharging pipe; the effect of directly obtaining the aggregate and the slag ash at one time can be achieved, and air pollution caused by dust when the aggregate and the slag ash are prepared from the waste materials is reduced.

A pad printing type re-coating device for the manufacturing process of metal packaging containers. The present invention is to solve the problems that the existing spraying technology will cause air pollution and affect the health of workers, and the brushing will cause uneven re-coating and missing re-coating points. Technical points: The features include a frame, a rotating shaft, a swing arm, a driving arm, a driver, a pad printing cylinder, a pad printing head, a coating tank, a dip plate, a dip plate cylinder and a liquid replenishing tank. The rotating shaft is rotatably matched on the frame, the swing arm is fixed on the rotating shaft, one end of the driving arm is fixed on the rotating shaft, the driver is installed on the frame, and the driver is connected to the other end of the driving arm. A horizontal pad printing cylinder is installed on the inner side of the swing arm, and the pad printing head is installed on the pad printing cylinder and is on the outer side of the swing arm. The coating tank is fixed on the frame, and there is a dip plate that moves up and down at the top of the coating tank. A dip plate cylinder is installed on the frame, and the dip plate cylinder is connected to the top of the dip plate. The dip plate cooperates with the pad printing head. The liquid replenishing tank is installed on the frame and has a coating delivery pipe with the coating tank.

The invention belongs to the technical field of evaporative crystallization equipment, and particularly discloses low-temperature evaporative crystallization equipment which comprises a crystallization kettle and a lubricating oil tank. A rotating shaft is arranged in the crystallization kettle, two ends of the crystallization kettle are respectively provided with a bearing chamber, a communicating hole is arranged between the crystallization kettle and the bearing chamber, a bearing for supporting the rotating shaft is arranged in the bearing chamber, and a sealing device or a sealing mechanism is arranged between the rotating shaft and the communicating hole. A lubricating oil pipeline is arranged between the lubricating oil tank and the bearing chamber, a pressure balance pipeline is arranged between the lubricating oil tank and the crystallization kettle, a plurality of paddle wheels are axially arranged on the rotating shaft at intervals, and each paddle wheel is provided with a plurality of paddles annularly distributed around the rotating shaft. A material scraping device is arranged between at least one pair of paddles of the adjacent paddle wheels, and a slag discharging opening is formed in the crystallization kettle. The problems that in the prior art, materials are prone to being discharged through the bearing chamber, and spiral propelling blades hinder material flowing are solved. The evaporation crystallization efficiency and the condensate scraping effect are remarkably improved, the gas-liquid separation efficiency is optimized, and meanwhile air pollution is reduced.

The invention relates to the technical field of cosmetics, and particularly discloses an oxyresveratrol-containing multi-vitamin anti-pollution composition suitable for sensitive skin and application of the oxyresveratrol-containing multi-vitamin anti-pollution composition, the multi-vitamin anti-pollution composition comprises oxyresveratrol, epigallocatechin gallic acid glucoside, acetylchitosamine and annona squamosa extract; the mass ratio of the oxyresveratrol to the epigallocatechin gallic acid glucoside to the acetylchitosamine to the annona squamosa extract is (0.1 to 3) to (0.001 to 0.1) to (1 to 10) to (0.1 to 5). The anti-pollution composition provided by the invention achieves the effects of relieving, repairing and whitening by simultaneously resisting various pollutants such as air pollution, ultraviolet rays, heavy metals and the like, and comprehensively solves the problems of yellow smell and sensitivity of skin.

The invention relates to the technical field of production and conveying, in particular to a plastic packaging container conveying device for food production, which comprises a conveying table, a surface treatment assembly and a negative pressure treatment assembly, a cleaning treatment groove is formed in one side of the upper end of the conveying table, and negative pressure suction grooves are formed in the upper ends, located on the two sides of the cleaning treatment groove, of the conveying table; according to the scheme, by means of the mode that negative pressure conveying and spiral interval conveying are combined, interval treatment and more stable conveying operation are carried out on plastic bottles, meanwhile, under the cooperative control effect of the control assembly, the surface treatment assembly and the negative pressure treatment assembly are made to be in one-to-one correspondence with the surface treatment assembly, the surface treatment assembly and the surface treatment assembly are made to be in one-to-one correspondence with the surface treatment assembly, and the surface treatment assembly and the surface treatment assembly are made to be in one-to-one correspondence with the surface treatment assembly. The surface quality of the conveying belt is effectively treated, the air pollution blocking problem possibly caused during negative pressure air draft is effectively maintained, and the conveying stability and applicability of produced and machined plastic bottles are improved.

The invention relates to the technical field of seed selection, and provides a crop seed selection system which comprises a screening device, the screening device is detachably connected with a first air screening machine, the screening device is used for separating seeds from seed shells and dust, and the screening device comprises an elevator, a winnowing mechanism and a cyclone separator; the elevator is arranged on the side close to the first air screening machine, grains enter the elevator after being screened in the winnowing mechanism, the winnowing mechanism is used for separating seed husks and dust in the grains, the cyclone separator communicates with the winnowing mechanism, the cyclone separator is used for separating and collecting the seed husks and the dust in the winnowing mechanism, and the cyclone separator is used for separating and collecting the seed husks and the dust in the winnowing mechanism. The airtight device is detachably connected with the discharging port of the elevator, the airtight device is used for controlling the air inlet in the elevator, then the air inlet direction of the winnowing mechanism is adjusted, and the technical problem that in the prior art, air pollution is large in the crop seed selecting process is solved.

The invention belongs to the technical field of air purification, and particularly relates to an environment-friendly formaldehyde removing device for indoor air pollution abatement, which comprises a box body, an axial flow fan, a stirring piece, a conveying mechanism, a storage piece and an absorbing and purifying mechanism, activated carbon particles are brought into the first cylindrical structure through the conveying mechanism, the activated carbon particles absorb formaldehyde in air, and the box body moves according to a set route to absorb formaldehyde in indoor air; after the activated carbon particles are used for a period of time, the activated carbon particles enter the storage piece, the conveying mechanism conveys the activated carbon particles on the lower portion of the first barrel into the containing cavity, and formaldehyde is continuously absorbed; the absorption and purification mechanism absorbs and purifies formaldehyde adsorbed on the activated carbon particles in the storage part, so that the adsorption capacity of the activated carbon particles is recovered, and cyclic utilization of the activated carbon particles is realized; and the activated carbon particles can be recycled without moving all the time, so that the damage probability of the activated carbon particles is reduced.

A system of head protection with an integrated air filtration mechanism for protecting the user from impact / concussion and ambient air pollution. Example embodiments comprise a rigid helmet shell covering the head of the user and a fabric air barrier around the user's neck, a battery powered filtered centrifugal fan contained inside an external detachable cowl apparatus adjoins to a helmet external top spoiler with a mounting system that is easily removable to meet impact attenuation standards. The cowl apparatus directs clean filtered air into the duct system—a top spoiler funnel connected to an internal clean air duct and exits the visor air curtain providing continual clean laminar airflow between the user's face and the face shield. One or more sensors, calibrated to detect harmful particulates and a processor to automatically activate the system as a protective measure when harmful particulates are encountered and a sensor to detect when filter element needs replacement.

A method for automatically identifying emission sources in a source apportionment process of pollutants is provided, which relates to the field of air pollution prevention and control. The method includes: integrating measured source spectrum data and factor spectrum data to generate a labeled data set and an unlabeled data set, respectively; preprocessing the labeled data set to generate a continuous labeled data set; constructing a tree classification model based on the continuous labeled data set; optimizing the tree classification model to determine the optimized tree classification model; coupling the optimized tree classification model and a pseudo-labeling algorithm to generate an integrated model based on the unlabeled data set to automatically identify factor profiles in the unlabeled data set; and determining types of the emission sources based on the factor profiles. The factor profiles can be automatically identified, so that types of emission sources can be quickly determined.

The utility model discloses a forming die for powder metallurgy of an internal gear, and relates to the technical field of powder metallurgy. The device comprises a device body, a protection mechanism is arranged on the outer side of an upper pressing die, the protection mechanism comprises a fixing ring and an abutting ring, an empty groove is formed between the fixing ring and the abutting ring, a guide rod is arranged in the empty groove, a pressure spring is arranged on the outer side of the guide rod, a hoop ring is arranged on the top of the fixing ring, and a clamping groove is formed in the outer side of the hoop ring. According to the protection mechanism, the abutting ring abuts against the edge matching position of the upper pressing die and the die groove, powder raw materials in the die groove can be effectively prevented from overflowing or splashing, meanwhile, the air quality environment of an operation workshop is remarkably improved through the blocking effect, and due to the fact that powder overflowing and splashing are effectively controlled, the production efficiency is improved. And air pollution in a workshop is reduced, so that the health of operators is protected, the working environment is improved, and the cleanliness and convenience in the powder metallurgy process are also enhanced.

A photomask plate transportation box capable of automatically keeping a closed state comprises a box body and a clamping and locking mechanism. The box body comprises a bottom plate and an upper cover. The bottom plate comprises a plate body, at least two supporting frames, two limiting clamping pieces and at least two inserting holes. The clamping and locking mechanism comprises at least two fixing blocks and at least two clamping and locking units. The clamping and locking unit comprises a sliding block, an elastic piece limiting plate, at least two elastic pieces, a lock pin hole, a lock pin and a lock tongue. When the box body needs to be opened, the lock pin is inserted into the lock pin hole, the sliding block is shifted to compress the elastic piece, and the lock tongue is moved out of the inserting hole to complete the opening action. And under the action of elastic return force of the elastic piece, when the box body is not used, the box body can also be automatically kept in a closed state. Therefore, the photomask plate transportation box can be automatically kept in a closed state when not used, so that air pollution is isolated, and a high-cleanliness state is kept.

The invention discloses an unmanned aerial vehicle air pollution detection method and system, relates to the technical field of unmanned aerial vehicles, and solves the technical problems that it is difficult to carry out key monitoring on a pollution area according to the characteristics of different grids in a supervision area, it is difficult to dynamically evaluate and adjust the task load of an unmanned aerial vehicle, and the reliability of the whole system is affected. The unmanned aerial vehicle adjusts an air pollution monitoring strategy according to a real-time analysis result of the edge node; adjacent grids are combined into a calculation task area, so that unmanned aerial vehicle resources are utilized more efficiently, repeated monitoring is avoided, and the overall working efficiency is improved; the data of the adjacent grids are analyzed in a centralized manner, so that the pollution condition in the region can be comprehensively evaluated, and the accuracy of the pollution index is improved; unmanned aerial vehicle detection is dynamically adjusted, and a flight path and a grid monitoring strategy are optimized; the task load of the unmanned aerial vehicle is dynamically evaluated and adjusted, faults or failures caused by overload of a single unmanned aerial vehicle are prevented, and the reliability of the whole system is improved.