658 results about "Air contamination" patented technology

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 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 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 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 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 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 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.

An indoor air cleaning system includes a gas detection module, an air cleaning device and a central control device. The gas detection module includes a microcontroller and a central control communication interface component. The microcontroller performs a computation and outputs regulation signals based on air pollution data. The air cleaning device includes a fan, a filter element and a driving control component. The central control device provides an operation instruction to the gas detection module for guiding air pollution to pass through the filter element, thereby making an air pollution state of an indoor field specified by accumulated numbers of 1 nm-2.5 μm suspended particulates detected by the gas detection module within 24 hours to meet a cleanliness of ZAPClean room 1-12.

An indoor air cleaning system with a networking mechanism is disclosed and applied in an indoor field (A) for detecting and cleaning air pollution completely. A real-time air quality monitoring in the indoor field (A) is achieved by arranging plural gas detectors (A), at least one gas molecule control hardware device (2), at least one air conditioning device (3) and a networked cloud computing service device (4) in the indoor field (A) and forming an intelligent linked system by the arranged gas detectors (1) in an outdoor filed and the indoor field (A). Meanwhile, the air pollution in the indoor field (A) is also detected and intelligently compared with an ambient air quality status, and an air guiding volume of an air guiding fan (21) is instantly controlled according to the air quality. Whereby an energy saving benefit of the effective controlling operation of the purification device is achieved.

The utility model provides concentration equipment for gelatin extracting solution, which relates to the technical field of gelatin extraction and comprises a gelatin concentration tank, an inner container is arranged inside the gelatin concentration tank, two fixing frames are arranged on the outer side of the gelatin concentration tank, a vacuum pump is arranged at the top of each fixing frame, and a vacuum pump is arranged at the bottom of each fixing frame. And a treatment bin is arranged at the top of the other fixing frame. According to the gelatin concentration device, steam in the gelatin concentration tank can be sucked out through the steam inlet pipe by virtue of the vacuum pump and is conveyed into the treatment bin by virtue of the connecting pipe, and peculiar smell molecules and impurities in the steam can be adsorbed and filtered by virtue of the activated carbon filter plate; the activated carbon filter plate can be taken out of the treatment bin to be cleaned or replaced by grabbing and pulling a pull ring, purified steam can be controlled to be discharged from a discharge pipe through a first control valve, and therefore efficient filtration and purification of the steam are achieved, large-scale air pollution is avoided, and the physical and psychological health of workers is guaranteed; and actual use requirements are met.

The disclosure relates to libraries used in conjunction with integrated ventilation and temperature controls for enclosed structures. Specifically, the disclosure is directed to libraries, systems and methods for minimizing pollution while simultaneously conserving energy and maintaining required levels of fresh air inside a multi-storied structure and its internal spaces, in an optimal manner, utilizing dynamic, user-defined threshold values and implementing strategies based on user defined goals.

The invention relates to the technical field of air pollution detection, in particular to a flue gas detector and a calibration detection method thereof, and the flue gas detector comprises a concentration fluctuation analysis module, an abnormal data screening module, an error interval collection module, a parameter trend analysis module and a period stability judgment module. According to the method, abnormal data and equipment drift influence are dynamically screened, an error change interval is actively collected, and through linkage comparison of multi-source parameter trends and separation of working condition disturbance, instrument abnormality and periodic offset signals, automatic screening of concentration data and operation parameters under multiple links is achieved, feature recognition and abnormal partition are associated, and the accuracy of the system is improved. The sampling effectiveness, the data stability and the instrument parameter change trend under the continuous detection working condition are managed in a layered mode, a traceable dynamic calibration chain is formed, the smoke detection consistency and the data exception handling capacity in the complex emission environment are remarkably improved, and an intelligent judgment mechanism of data grading rejection and trend aggregation is perfected.

To provide an indoor air cleaning system capable of cleaning an air pollution state of an indoor region.SOLUTION: A gas detection module comprises a microcontroller and a central control communication interface component. The microcontroller performs calculations based on air pollution data, and outputs an adjusted control signal. An air purification device comprises a fan, a filter component, and a drive control assembly. The central control unit provides a control command to the gas detection module via wired or wireless communication, controls the fan to direct air pollution to the filter component, and purifies an air pollution state in an indoor region on the basis of the 24-hour cumulative detection count of PM2.5, which is a floated particulate matter, inhaled by the plurality of gas detection modules, and an indoor area space required for one air purification device, so that the detected air pollution data satisfies clean room ZAPClean room 1 to 9 grade requirements.SELECTED DRAWING: Figure 2A

The utility model discloses a permanent magnet drum type magnetic separator with a dustproof structure, which comprises a shell, a magnetic separation drum is mounted in the shell, connecting bearings are mounted on two sides of the magnetic separation drum, and protective boxes corresponding to the connecting bearings are mounted on two sides of the inner wall of the shell; the filter box is fixedly installed on the right side of the upper portion of the shell, a dust collection filter bag is installed in the filter box, a box door is hinged to the front end of the filter box, an air pump is installed above the filter box, an input pipe is installed at the input end of the air pump, and an output pipe is installed at the output end of the air pump; connecting threads are arranged at the end, away from the air pump, of the output pipe, and a communicating pipe is installed on the right side of the air pump. According to the permanent magnet drum type magnetic separator with the dustproof structure, gas and dust in the shell are pumped to the dust collection filter bag through the air pump, the input pipe and the output pipe to be filtered and collected, the dustproof effect is achieved, and air pollution caused by dust scattering is avoided.

The invention relates to the technical field of feed mixing devices, in particular to a mixing device for Leymus chinensis single-cell protein feed processing, which comprises a stirrer, a stirring mechanism mounted on the stirrer, a dust removal mechanism, a spraying mechanism and a discharging mechanism, a premixing mechanism is mounted on the side surface of the stirrer, and a transmission mechanism is mounted on the dust removal mechanism; when forage is added into the stirrer and in the earlier stage of stirring, large feed dust can be raised, an axial flow fan is connected with an external power supply to suck out the feed dust on the stirrer, the feed dust is collected by a filter screen, clean air is discharged from the tail end of a connecting shell, and a first motor is started to drive a stirring shaft to rotate; the stirring shaft can drive the filter screen to rotate on the connecting shell after rotating, the filter screen can abut against the inner bottom of the connecting shell when rotating anticlockwise, the collected feed dust falls into the connecting hopper along with rotation of the filter screen, collection and treatment of the feed dust are facilitated, and air pollution and feed waste are avoided.

The invention discloses hog house excrement solid-liquid separation and rapid collection equipment which comprises a supporting module, an excrement collection module, an excrement collection module, an excrement collection module and an excrement collection module. The solid-liquid separation module comprises a separation conveying belt and a separation plate, and the separation plate is arranged below the front inclined part of the separation conveying belt; the power module comprises a gear driving assembly and a spiral conveying assembly, and the gear driving assembly and the spiral conveying assembly share the same driving motor; the classified collection module is arranged under the spiral conveying assembly of the power module; and the cleaning module is arranged behind the solid-liquid separation module. According to the hog house excrement treatment device, solid-liquid separation and rapid collection treatment can be conducted on excrement of a hog house, cleanliness and sanitation of the hog house can be guaranteed in time, the problem of air pollution in the excrement treatment process is solved from the source, the probability of disease occurrence is easily reduced, and the efficiency of hog house excrement cleaning is greatly improved.

The embodiment of the invention provides a liquid leakage detection method and device for a liquid cooling system of a server and a liquid leakage detection system. The method comprises the steps that air indexes of at least one first air sensor are sequentially obtained at a preset first time interval; wherein each first air sensor is deployed at a preset point position in the server and is used for measuring an air index in the server; an air index of the first air sensor represents the severity of air pollution caused by leakage of cooling liquid of the liquid cooling system in the server; if it is determined that the air index of the first air sensor is larger than or equal to a preset normal threshold value, early warning information is generated and sent to a substrate controller of the server; wherein the early warning information represents that a cooling liquid leakage phenomenon exists in the liquid cooling system of the server. The method is used for detecting the liquid leakage phenomenon of the liquid cooling system in time, and the real-time performance of liquid leakage phenomenon detection is improved.

An indoor pollution prevention system includes a plurality of gas detection modules, one or more intelligent control-driving processing devices, one or more gas-exchange processing devices, and one or more indoor cleaning and filtration devices. The gas-exchange processing device includes one or more flow-guiding component and a cleaning and filtration assembly. The intelligent control-driving processing device controls the operation of the indoor cleaning and filtration device in real-time under a surveillance condition, therefore the air pollution source in the indoor space passes through the indoor cleaning and filtration device, allowing the air pollution source in the indoor space to be filtered and exchanged to become a clean air.

The invention relates to a multifunctional efficient SOFC power generation management method and system for an island, and relates to the technical field of power generation, and the method comprises the steps: heating diesel oil to volatilize the diesel oil into diesel oil steam, and collecting heating parameter information; generating suction control information according to the heating parameter information; based on the suction control information, controlling a preset micro-interface reformer to suck water vapor and diesel steam, and performing cracking reforming to generate mixed gas; collecting a temperature detection value and mixing condition information of the mixed gas; generating hot delivery control information according to the temperature detection value and the mixing condition information; and transmitting the mixed gas to a preset SOFC pile based on the heat transmission control information for power generation. The island power generation device has the effect of reducing air pollution generated during island power generation.

The invention discloses an air pollution concentration prediction method and system based on a space-time agent, and relates to the technical field of air quality prediction, and the method comprises the steps: abstracting an air quality monitoring station in an urban space into a space-time agent, and constructing an agent network topological graph based on the geographic space proximity and pollution propagation correlation; building an air pollution concentration prediction model based on a message passing network, a spatial-temporal feature extractor and a prediction fusion module; training the air pollution concentration prediction model through the intelligent agent network topological graph, and obtaining a trained air pollution concentration prediction model in combination with a multi-task loss function; and performing space-time agent prediction by using the trained air pollution concentration prediction model, and outputting an air pollution concentration prediction result. The method can improve the precision, real-time performance and robustness of pollutant concentration prediction in a large-scale urban environment in which multi-source data is highly heterogeneous and a pollutant propagation mechanism is complex.

The utility model relates to the technical field of plastic bottle recycling, in particular to smashing equipment for plastic bottle recycling, which comprises a smashing equipment body, a feed hopper penetrates through the surface of the smashing equipment body, a sliding plate is fixedly connected to the surface of the smashing equipment body, and an upper adjusting plate is slidably connected to the surface of the sliding plate. A lower adjusting plate is inserted into the bottom end of the upper adjusting plate, inserting blocks are inserted into the surfaces of the two sides of the sliding plate, a spray pipe penetrates through the top end of the crushing equipment body, a spray head is fixedly connected to one end of the spray pipe, a water pipe is screwed to the other end of the spray pipe, and a filter plate is inserted into an inner cavity of the spray pipe. The crushing equipment has the beneficial effects that the upper adjusting plate and the lower adjusting plate which can slide are arranged between the feeding hopper and the crushing equipment body, the opening degree of the feeding port is changed, the feeding flow is controlled, the feeding efficiency and stability are improved, and the production efficiency is improved; dust particles can be adsorbed and settled, flying of dust is reduced, and air pollution is reduced.

The invention discloses a building indoor air quality detection method and system, a medium and a program product, and relates to the field of indoor air quality detection.The method comprises the steps that air quality detection data of multiple detection point positions in a target building are obtained, and a detection data set is generated; when pollution warning data appears in the detection data set, a data sharing request is sent to surrounding buildings in a preset communication range, and a verification data set is received; according to the detection data set, the verification data set and the environmental meteorological data, calculating the pollution confidence of the pollution warning data and the pollution correlation coefficient of the pollutant concentration between the buildings; determining the pollution source type of the pollution warning data according to the pollution confidence coefficient and the pollution correlation coefficient; and generating an air pollution prompt and a pollution prevention and control scheme according to the pollution warning data and the pollution source type. By implementing the application, the accuracy of building indoor air quality detection can be improved, and false alarm of equipment is avoided.

The invention discloses a method for predicting decoration pollutant concentration and identifying a main pollution source based on a ventilation environment, and belongs to the field of material pollutant monitoring. The method for predicting the pollutant concentration comprises the following steps: determining the type of a decoration material according to a design scheme, and constructing a data set; establishing a quantitative relation between the pollutant equilibrium release amount and the bearing rate according to the data set; the pollutant concentration of the decoration material in the closed environment is obtained; when the ventilation influence is considered, a quantitative relation of ventilation times is established; and obtaining the predicted concentration of the pollutants of the decoration material considering the ventilation influence. The invention further provides a method for identifying the main pollution source. The method has the beneficial effects that the method can adapt to different ventilation conditions, and the accuracy and reliability of concentration prediction are improved; decorative materials which have great influence on indoor air pollution can be recognized, and indoor pollution sources are reduced.

The invention provides an intelligent variable-frequency dust fall system for a construction site. A flying dust monitoring module is used for monitoring dust particulate matter information of the construction site; the dust falling module is used for carrying out dust falling operation on the construction site; the water supply module is used for collecting treated water so as to supply water to the dust falling module during the dust falling operation; the frequency conversion control module is used for controlling respective working states of the dust falling module and the water supply module according to the dust particulate matter information, and dynamically regulating and controlling operation of dust falling equipment by detecting the dust particulate matter information of flying dust in real time, so that accurate and efficient flying dust treatment is realized, the utilization efficiency of water resources and energy can be optimized, and the dust falling equipment can be flexibly suitable for various construction environments; the flying dust treatment effect and the resource saving capacity are remarkably improved, and the problem of air pollution caused by flying dust on the construction site is effectively solved.

The invention discloses a stationary pollution source carbon emission continuous monitoring device, and relates to the technical field of air pollution detection, the stationary pollution source carbon emission continuous monitoring device comprises a case and a driving assembly, one side of the case is fixedly provided with a monitor main body, the bottom of the case is provided with a fixed pipe, and the outer side of the lower end of the fixed pipe is rotatably connected with a reversing pipe; and filters are arranged in the two ends of the reversing pipe. When the carbon emission content of a pollution source is monitored, the motor is started firstly, the sliding seat is driven to reciprocate through the double-output-shaft speed reducer and the reciprocating lead screw, the piston rod slides in one cavity in the case in a reciprocating mode, and therefore the air pressure change in the case is adjusted; the inside of one end of the reversing pipe is communicated with the inside of the case through the fixing pipe, so that external to-be-detected gas can be sucked into the case through the first one-way valve, and at the moment, the carbon dioxide sensor probe on the monitor main body can monitor the carbon content of the air.