256 results about "Multi pollutant" patented technology

The invention relates to the technical field of water quality detection, and discloses a water quality pollutant detection method, system and equipment based on spectral analysis, and the method comprises the following steps: carrying out real-time spectral data acquisition on a water body sample in a vehicle driving process through a multispectral sensor array in a vehicle-mounted water quality detection device; obtaining a water body spectrum three-dimensional data cube; carrying out anti-vibration wavelength calibration and ambient light source interference elimination processing to obtain a preprocessed spectrum data set; performing standard multivariate decomposition processing and horizontal local constraint optimization of a pollutant target wave band on the preprocessed spectrum data set to obtain enhanced feature fingerprint spectrums for different types of water quality pollutants; and inputting the enhanced feature fingerprint spectrum into a deep belief network model to perform pollutant feature matching analysis to obtain various pollutant types and corresponding concentration values in the water body sample, thereby effectively eliminating ambient light changes and other background interferences, not only determining the pollutant types, but also accurately quantifying the concentration values.

Provided herein are systems and methods for use of carbon dioxide, such as carbon dioxide containing one or more contaminants, e.g., produced in processes where the carbon dioxide comes directly or indirectly from the atmosphere, in one or more systems to perform one or more processes that binds the carbon dioxide or one or more carbon dioxide reaction products with one or more reactants to produce one or more carbon dioxide sequestration products, for example, products that permanently sequester the carbon dioxide.

The invention relates to the field of energy conservation and environmental protection, in particular to an intelligent circulating fluidized bed method desulfurization and carbon-pollution deep purification system, which constructs a high-reliability and explainable accurate prediction model for the concentration of various pollutants through a modeling method cooperatively driven by knowledge and data in a multi-pollutant generation-removal process, predicts the change of the concentration of the pollutants 90 seconds ahead of time, and improves the efficiency of desulfurization and carbon-pollution deep purification. The average relative percentage error is smaller than 2%, and the problems of control lag and difficulty in real-time accurate optimization caused by data measurement delay are solved; an intelligent regulation and control technology of slaked lime feeder frequency / bed pressure / water spraying amount multi-parameter collaborative optimization-model predictive control double-layer structure coupling is established, and while full-time stable ultra-low emission is achieved, outlet pollutant concentration fluctuation is reduced by more than 50%, outlet temperature fluctuation is within + / -2 DEG C, bed pressure drop fluctuation is within + / -75 Pa, slaked lime consumption is reduced by more than 10%, and full-time stable ultra-low emission is achieved. The water consumption is reduced by 5% or above, CO2 emission is reduced by 6% or above, and the problems of efficient and stable removal and synergistic carbon reduction of multiple pollutants in flue gas under complex working conditions are solved.

The invention relates to the technical field of environmental protection, in particular to a meteorological element-driven pollutant contribution degree evaluation method and system, and the method comprises the following steps: recognizing regional meteorological characteristics, calculating a wind field disturbance intensity index, predicting a pollutant propagation path, and analyzing the relation between a turbulence period and pollutant concentration attenuation. The retention time of various pollutants is predicted, the influence of humidity on the pollutants is evaluated, and the contribution degree of the pollution source is evaluated in combination with the emission characteristics of the pollution source and meteorological data. According to the method, the meteorological sudden change characteristic index is constructed, the identification capability of abnormal meteorology on the pollution process is optimized, the dynamic prediction precision of the pollutant propagation path is enhanced by combining the wind field disturbance intensity index, the judgment accuracy of the pollution residence time is improved by utilizing the relationship between the turbulence period and attenuation, and the humidity and particle size response analysis is adopted; and the evaluation of the effect of humidity on pollution is refined, and the multi-source emission characteristics and meteorological factors are fused, so that the accurate identification and source-based analysis of the pollution contribution degree are realized.

The invention belongs to the field of air pollutant prediction, discloses a multiple air pollutant prediction method based on a multi-scale spatio-temporal spectrum feature fusion framework, and solves the technical problem of low prediction accuracy of multiple air pollutants caused by single air pollutant prediction type and neglect of a dynamic dependency relationship among different pollutants in the prior art. The method comprises the following steps of: constructing an air quality characteristic data set by acquiring collected data of a plurality of air quality monitoring stations in a city; preprocessing the air quality characteristic data set; constructing a multi-scale space-time spectrum feature fusion model; inputting the preprocessed air quality feature data set into a multi-scale spatio-temporal spectrum feature fusion model for training; and predicting the pollutant concentration of each station in a future time period by using the trained multi-scale spatio-temporal spectrum feature fusion model. According to the method, the dynamic dependency relationship among various pollutants is explicitly modeled when the model is constructed, and the prediction precision of various air pollutants is effectively improved.

The invention provides a PTFE foam coating multifunctional dedusting and denitration filter material and a preparation method thereof, and the technology is realized through the following steps: firstly preparing an efficient denitration catalyst, then preparing a dedusting filter material taking double base cloth as a substrate, and enhancing the structural stability through a special process. Then, the catalyst powder is uniformly impregnated in the substrate layer and dried to ensure the maximization of the catalytic activity. Then, a PTFE foaming coating is prepared, the surface of the needled felt is accurately coated with the PTFE foaming coating, the uniformity of the coating and the strong adhesive force of the coating and the base material are ensured through a gradient drying technology, and preparation of the multifunctional dust removal and denitration filter material is completed. According to the filter material, the PTFE foam coating and the efficient catalyst are combined, the integrated removal efficiency of various pollutants in industrial flue gas is effectively improved, the filter material is suitable for large-scale production, the cost effectiveness is optimized, the filter material has obvious advantages in economical efficiency and market application, and an efficient and economical solution is provided for industrial flue gas purification.

The invention discloses a water quality detection and evaluation method and system for environmental engineering, and relates to the technical field of environmental engineering. The method comprises the following steps: collecting and detecting an environmental engineering target water sample to obtain concentration data of various pollutants; constructing a pollutant collaborative influence matrix, calculating a collaborative index of the influence of each pollutant on the overall water quality, and generating a comprehensive pollution collaborative score; obtaining a water body function type of the target water sample, performing water body function matching judgment on the target water sample, and outputting a function adaptability grade; collecting a pollutant concentration change sequence in a historical period of time, and performing time sequence analysis on the concentration of each pollutant to obtain a predicted pollution trend; and dynamically adjusting the comprehensive pollution collaborative score and the functional adaptability grade to obtain a dynamic standard evaluation result of the target water sample. According to the method, comprehensive dynamic evaluation on the pollution status, functional adaptability and future trend of the target water sample is realized, and the scientificity and timeliness of water quality evaluation are remarkably improved.

A method of adsorption includes contacting a nanocomposite with a solution including one or more pollutants. The nanocomposite is a graphite-phase carbon nitride copper oxide and magnesium aluminum oxide (g-C3N4@CuO / MgAl2O4) material and includes a graphite-phase carbon nitride (g-C3N4) in an amount of 5 to 15 percent by weight (wt. %), copper oxide in an amount of 3 to 7 wt. %, and magnesium aluminum oxide (MgAl2O4) in an amount of 80 to 90 wt. % based on a total weight of the g-C3N4@CuO / MgAl2O4 material. The method further includes adsorbing the one or more pollutants on the nanocomposite.

The invention relates to the field of environment restoration, and discloses a semi-coke ecological system environment restoration method which comprises the following steps: waste gas treatment: treating sulfur-containing gas, nitric oxide and particulate matters generated in semi-coke production by adopting a multi-stage gas purification device, and further purifying residual harmful substances by adopting a low-temperature plasma technology; wastewater treatment: carrying out multi-stage purification on industrial wastewater generated in semi-coke production through physical filtration, chemical precipitation and biological treatment, and carrying out advanced treatment on the wastewater in combination with a membrane separation technology; and solid waste treatment: carrying out high-temperature gasification treatment on solid wastes generated in semi-coke production, recovering energy and using residues for regenerated material production. The comprehensive treatment of various pollutants generated in the production process is realized through the technologies of multi-stage waste gas purification, waste water deep treatment and solid waste resource utilization, and the removal efficiency of sulfur oxides and nitrogen oxides is remarkably improved by the waste gas treatment system through the combination of wet desulfurization and dry desulfurization.

The invention belongs to the technical field of sewage treatment and comprehensive utilization of water resources, and particularly relates to a reclaimed water reuse and rainwater collection and utilization system in an expressway service area. A sewage treatment, rainwater collection and water-saving irrigation integrated system is constructed, and the MBR process is emphatically applied to treat sewage. The system can effectively remove various pollutants in the sewage, so that the effluent reaches the reclaimed water reuse standard, and the sewage recycling is realized. Meanwhile, rainwater is efficiently collected and utilized, and the water demand of vegetation is accurately met in combination with an intelligent water-saving irrigation technology. The dependence of the service area on fresh water resources is reduced on the whole, the pollution of sewage discharge to the environment is reduced, the water resource management level is improved, remarkable economic, social and environmental benefits are achieved, and an innovative scheme is provided for sustainable utilization of the water resources in the small service area of the expressway.

The invention relates to the technical field of energy utilization and energy conservation and emission reduction, and discloses a sludge incineration tail gas treatment system and an energy storage heat exchanger. The system comprises a tail gas purification module, a carbon capture and solidification module, a circulating power generation module, an air dehumidification heat pump module and a cascade energy storage module. The tail gas purification module is used for sequentially carrying out particulate matter filtration, desulfurization, electrostatic dust collection and denitration treatment on tail gas discharged by the incinerator; the carbon capture and solidification module is used for collecting CO2 in the tail gas through a temperature swing adsorption and low-temperature cooling technology; the circulating power generation module is used for converting low-grade waste heat in the tail gas into electric energy through an organic Rankine cycle technology; the air dehumidification heat pump module is used for dehumidifying and preheating air entering the incinerator; the stepped energy storage module is used for conducting graded recovery and management on waste heat of different temperature zones in tail gas in the purification process. According to the system, various pollutants in the tail gas are efficiently removed, and waste heat of different temperature grades is recycled and utilized in a graded mode.

The invention relates to the technical field of environmental protection, in particular to a sludge incineration flue gas efficient purification system which comprises a pretreatment module, a dynamic ion separation module, an acid gas neutralization module, a heavy metal adsorption module, an acid-gold interaction purification module, a deep oxidation module and an intelligent control module. Wherein the pretreatment module is used for receiving initial flue gas flow; the dynamic ion separation module is used for primarily separating heavy metal ions; the acid gas neutralization module is used for stabilizing emission of acid gas; the heavy metal adsorption module is used for accurately adsorbing heavy metal ions; the acid-gold interactive purification module is used for treating composite pollutants; and the intelligent control module is used for automatically adjusting module operation parameters. According to the sludge incineration flue gas treatment system, by integrating an efficient purification technology and intelligent control, comprehensive removal and stable up-to-standard emission of various pollutants in sludge incineration flue gas are achieved, and the response speed, the purification efficiency and the energy-saving effect of the system are improved.

The invention relates to the field of base material surface cleaning, in particular to a coupling cleaning spray head which comprises a shell. The dry ice channel is arranged in the shell, and one end of the dry ice channel is used for containing dry ice particles; the first plasma channel is arranged in the shell, and one end of the first plasma channel is used for introducing plasma; and the first nozzle is arranged on the shell and is communicated with the other end of the dry ice channel and the other end of the first plasma channel. The coupling cleaning spray head can solve the problems that an existing base material cleaning device cannot have the advantages of being suitable for precision devices sensitive to water or poor in sealing performance, not enabling a base material to generate a large temperature difference and being capable of efficiently cleaning pollutants of various layer thicknesses at the same time. The device has the advantages that the device is suitable for precision devices sensitive to water or poor in sealing performance, large temperature difference is not generated, and various pollutants with different thicknesses on the surface of a base material can be efficiently removed.

The utility model relates to the technical field of wastewater deep equipment, and mainly discloses a collaborative deep treatment system for multiple pollutants in industrial wastewater. Comprising a regulating tank, a catalytic mixing reactor, a catalytic reaction tank, a primary neutralization reaction tank, a defluorination reaction tank, a secondary neutralization reaction tank, an enhanced adsorption reaction tank, a flocculation reaction tank, a sedimentation tank, a deep oxidation reaction tank, a filter tank and a clean water tank which are sequentially connected, and each reaction tank is provided with a corresponding feeding system; the system also comprises an on-line detection system and a central control system, can synchronously realize collaborative removal of various pollutants and high integration of the system, and can timely adjust operation parameters and realize automatic operation of the system according to changes of water quality and water quantity by virtue of response coordination of the on-line detection system and the central control system. The advanced treatment requirements of wastewater with different water qualities are met while the treatment cost is reduced.

The invention discloses an intelligent control system and method for waste gas treatment equipment, and relates to the technical field of waste gas treatment. Comprising a spraying module, an adsorption module, a controller module and an actuator module, and the spraying module comprises a water washing tower and an alkaline washing tower and is used for controlling a circulating liquid supply system in the spraying tower; the adsorption module comprises activated carbon adsorption and steam adsorption and is used for controlling the adsorption and desorption processes of an activated carbon layer; the controller module adopts a PID (Proportion Integration Differentiation) control algorithm and combines fuzzy control and neural network technologies to control the waste gas treatment process; and the actuator module is used for adjusting the running state of the waste gas treatment equipment according to an instruction of the controller. Various treatment units and intelligent control strategies are integrated, various pollutants in waste gas are effectively removed, and the treatment process is accurately controlled through an intelligent control system.

The invention provides an intelligent detection method and system for multiple pollutants in the urban solid waste incineration process, and belongs to the technical field of artificial intelligence. Inputting the input variables into the multi-module echo state network model to obtain predicted concentrations corresponding to the to-be-detected pollutants output by the multi-module echo state network model; wherein the multi-module echo state network model comprises two sub-modules, each sub-module is constructed for one pollutant, and each sub-module is provided with an independent input layer, a reserve pool and an output layer. According to the method, the multi-pollutant collaborative detection model based on the multi-module echo state network is constructed, and the concentration of various pollutants in the urban solid waste incineration process is accurately predicted through state sharing among the sub-modules.

A method of photocatalytic degradation includes contacting a nanocomposite with a solution including one or more pollutants. The nanocomposite is a graphite-phase carbon nitride copper oxide and magnesium aluminum oxide (g-C3N4@CuO / MgAl2O4) material and includes a graphite-phase carbon nitride (g-C3N4) in an amount of 2 to 20 percent by weight (wt. %), copper oxide in an amount of 1 to 10 wt. %, and magnesium aluminum oxide (MgAl2O4) in an amount of 75 to 95 wt. % based on a total weight of the g-C3N4@CuO / MgAl2O4 material. The method further includes irradiating the nanocomposite with light having a wavelength of 400 to 800 nm in the absence of UV light to photocatalytically degrade the one or more pollutants in the solution.

The invention relates to the technical field of intelligent control, and discloses an air quality evaluation method and device, air purification equipment and a storage medium, and the method comprises the steps: obtaining original monitoring data of various pollutants; performing format conversion on each piece of original monitoring data to correspondingly obtain standard data, which comprises the following steps of: respectively determining air quality standard limit values of various pollutants; respectively dividing the original monitoring data of various pollutants by corresponding air quality standard limit values to correspondingly obtain standard data; respectively determining the current weight of each standard data, and calculating an air quality index by utilizing all the standard data and the corresponding current weight; and determining the current quality grade corresponding to the air quality index, and controlling the air purification equipment to perform corresponding work based on the current quality grade. According to the invention, format conversion is carried out on the original monitoring data, the current weight of the data is determined, the air quality index is calculated, the quality grade corresponding to the air quality index is determined to control equipment work, air quality can be comprehensively quantified, and the evaluation precision is improved.

The invention relates to the technical field of water body pollution monitoring, in particular to a multispectral image fused water body pollutant accurate recognition system, which comprises a data acquisition module, a cloud processing module, a boundary processing module, a pollution recognition module, a diffusion prediction module and a visualization module, the system constructs sub-pixel representation of a water pollutant boundary by using a differential geometry manifold theory, and realizes high-precision pollutant boundary description through a multi-scale analysis and curvature flow optimization technology; enhancing pollutant characteristic expression by adopting multispectral image fusion and an optimal wave band selection technology; using a support vector machine model to accurately identify various pollutant types such as oil films, oil spots, algae blooms and the like; based on a boundary fine description result and a pollutant type identification result, the diffusion trend of pollutants is accurately predicted in combination with historical flow, wind direction and wind speed data, and the system improves the water pollutant boundary identification precision and enhances the identification capability of complex boundary forms and low-contrast regions.

The invention provides a method for estimating atmospheric heavy metal environmental capacity. The method comprises the following steps: acquiring basic topographic and meteorological data of a to-be-estimated target area; determining an atmospheric heavy metal emission scheme; obtaining the day-by-day grid-by-grid heavy metal concentration of the target area in the simulation year by adopting an air quality model; and calculating to obtain a non-carcinogenic risk quotient value and a carcinogenic risk quotient value, comparing with 1 to judge whether an atmospheric heavy metal emission scheme needs to be adjusted, and obtaining the atmospheric heavy metal environmental capacity of the emission source arrangement position until the non-carcinogenic risk quotient value or the carcinogenic risk quotient value is less than 1. According to the method, pollutant types are expanded from fine particulate matters and precursors thereof to atmospheric heavy metals, constraint based on pollutant concentration is promoted to constraint of crowd health, and a reasonable environmental capacity result is obtained by utilizing iterative calculation. According to the invention, the goal of atmospheric environmental pollution prevention and control work is improved from improvement of air quality to reduction of crowd health risks, and technical support is provided for cooperative emission reduction work of various pollutants.

The invention provides carbon aerogel for wastewater purification and hydrogen production through water photolysis and a preparation method of the carbon aerogel, Au / Cu-MOF / SA carbon aerogel serves as a photothermal evaporation module to be used for interface photothermal wastewater purification driven by solar energy, and ZnIn2S4 / Au / Cu-MOF / SA carbon aerogel serves as a photocatalytic reaction module to be used for photocatalytic hydrolysis hydrogen production. By designing the composite carbon aerogel, solar energy is positioned on a gas-liquid interface for evaporation of wastewater; and then the purified distilled water is used as a raw material for hydrogen production through photocatalytic hydrolysis, so that integration of wastewater purification and hydrogen production through water photolysis is realized. The upper photo-thermal layer and the photocatalytic layer are exposed on the water surface due to the self-floating characteristic of the system, so that efficient light transmission can be realized, light attenuation caused by water can be reduced to the greatest extent, and the problem that a traditional powder photocatalyst is difficult to recycle can be effectively solved; hydrogen can be stably generated for a long time in waste water containing various pollutants, and great commercial application potential is achieved.

The invention belongs to the field of flue gas treatment, and provides a purification treatment system and method for lepidolite roasting flue gas. The purification treatment device comprises a pre-dedusting device, a first-stage moving bed reactor, a second-stage fluidized bed reactor, a third-stage dedusting reactor and an induced draft fan which are connected in sequence, wherein the pre-dedusting device is used for carrying out pre-dedusting treatment on roasting flue gas; the first-stage moving bed reactor is used for carrying out first-stage adsorption reaction treatment on pollutants in the pre-dedusted flue gas; the second-stage fluidized bed reactor is used for carrying out second-stage adsorption reaction treatment on pollutants in the flue gas-particle mixture I generated by the first-stage moving bed reactor; and the third-stage dust removal reactor is used for carrying out third-stage adsorption reaction and dust removal treatment on pollutants in the flue gas-particle mixture II generated by the second-stage fluidized bed reactor. According to the method, various pollutant components in the lepidolite roasting flue gas can be effectively removed, and secondary pollution problems such as waste water and chimney rain do not exist in the flue gas purification treatment process.

The invention provides a preparation method and device of a composite matrix for sewage treatment and a server, and relates to the technical field of water treatment material.The preparation method comprises the steps that center combination treatment is conducted on a ternary composite matrix for sewage treatment, and a test formula set is generated; obtaining test data corresponding to the test formula set, and taking the removal rate corresponding to each matrix as a response value to obtain target test data; substituting the target test data into a quadratic polynomial regression model of the ternary composite matrix to carry out regression analysis processing to obtain a model predicted value, and carrying out model verification updating processing on the quadratic polynomial regression model by utilizing the model predicted value and the target test data to determine a target quadratic polynomial regression model; and through the target quadratic polynomial regression model, optimizing the ratio of the ternary composite matrix, and determining the target mass ratio of the ternary composite matrix. According to the invention, the pollutant removal rate of synergistic decontamination of various pollutants in the sewage treatment process can be obviously improved.

The invention discloses integrated intelligent monitoring equipment and method for dust, poison gas and noise. The equipment is characterized in that a mass flow controller, a flow pump and a flow limiting assembly are sequentially connected to a gas inlet pipeline in series; the first laser and the light trap are oppositely mounted inside the particle measurement chamber; the lens and the first laser are coaxially distributed, and the focus of the lens is located at the particle detection channel; the photoelectric sensing unit is mounted on the inner wall of the rear side of the particle measuring chamber; the filter and the sensing surface of the photoelectric sensing unit are coaxially distributed; the communicating pipeline is respectively connected with the particle detection outlet and the gas detection inlet; the filter membrane is connected in series to the communicating pipeline; the second laser and the multi-channel narrow-band detector are oppositely mounted inside the gas measuring chamber; the noise measuring unit comprises an MEMS microphone array; the method comprises the following steps: wearing a plurality of dust, poison gas and noise integrated intelligent monitoring devices on different individuals, and synchronously monitoring the levels of dust, poison gas and noise by using the dust, poison gas and noise integrated intelligent monitoring devices. The equipment and the method can be used for synchronously monitoring various pollutants.

The invention relates to the technical field of environmental protection, in particular to a wastewater treatment process for butadiene extraction. According to the wastewater treatment process disclosed by the invention, the biodegradability of the wastewater is improved by adopting ultrasonic-microelectrolysis combined pretreatment, and various pollutants in the wastewater are efficiently removed through a series of innovative means such as synergistic biological treatment, a novel sulfide treatment method, an optimized advanced oxidation process and integration of membrane separation and concentration technologies. The treated wastewater is discharged after reaching the standard, the water resource recovery rate is remarkably improved, meanwhile, the treatment cost is reduced, and good economic and environmental benefits are achieved.

The invention provides a pretreated biomass charcoal loaded vulcanized nano zero-valent iron material as well as a preparation method and application thereof, and relates to the technical field of environmental functional materials. The preparation method comprises the following steps: firstly, dipping pretreated biomass in phosphoric acid, pyrolyzing, and then ball-milling and crushing to micro-nano scale; then, FeCl3 is used as a precursor, NaBH4 and Na2S2O4 are used as a reducing-vulcanizing agent, and S-nZVI is loaded through a one-step method. The composite modified material has high efficiency in heavy metal pollution in a water body, can simultaneously remove various pollutants, has a wide application prospect, and provides a new efficient material choice for the field of environmental restoration.

The invention relates to a spectral analysis-based breeding air quality detection system, which comprises: a sensor module for detecting the concentration of ammonia gas, carbon dioxide and dust in a breeding environment in real time, the sensor module comprising: an ammonia gas sensor for quantitatively detecting the absorption characteristic of ammonia gas to light with a specific wavelength; the carbon dioxide sensor is used for measuring the concentration by adopting non-dispersive infrared light and utilizing the characteristic that carbon dioxide absorbs infrared light; the dust sensor is used for calculating the dust concentration by measuring the light scattering condition of particulate matters in the air; the data processing module is used for receiving detection data from the sensor module; according to the breeding air quality detection system based on spectral analysis and the detection method thereof, various pollutants can be accurately monitored on the basis of a modern spectral analysis technology, and real-time monitoring and dynamic adjustment of a breeding environment are realized through an intelligent data processing and automatic control mechanism, so that the health of bred animals is guaranteed, and the breeding production efficiency is improved.

The invention discloses integrated equipment for water detection and purification in the technical field of water treatment, the integrated equipment comprises a box body, an air pump, a plant storage tank, a detection outer rod and an inner detection head, the air pump is communicated with aeration pipes, propelling nozzles and an air bag through pipelines, a plurality of aeration pipes are arranged at the bottom of the box body, and a plurality of propelling nozzles are arranged on the left side and the right side of the back of the box body. The two detection outer rods extend out of the left side and the right side of the box body respectively, an inner detection head is arranged in the box body, the device can be used for initial rainwater pollution treatment of a river-entering rainwater discharge port and is of an integrated structure, a plurality of independent plant storage tanks are additionally arranged, different plants can be planted on the integrated floating island of the device, and the device is convenient to use. Therefore, the purpose of purifying various pollutants is achieved; meanwhile, an aeration function is also added, so that ultramicro bubbles can be released underwater; the device can also detect the water quality and hydrology of a water body, and can also detect the water quality of initial rainwater by extending the detection outer rod into a river rainwater discharge port.

The utility model discloses integrated equipment for water body detection and purification in the technical field of water body treatment, which comprises a box body, an air pump, a plant storage tank, a detection outer rod and an inner detection head, the air pump is communicated with aeration pipes, a propelling nozzle and an air bag through pipelines, and a plurality of aeration pipes are arranged at the bottom of the box body. The left side and the right side of the back face of the box body are each provided with a plurality of propelling nozzles, the two detection outer rods extend out of the left side and the right side of the box body respectively, and an inner detection head is arranged in the box body. Different plants can be planted on the integrated floating island of the device, so that the purpose of purifying various pollutants is achieved; meanwhile, an aeration function is also added, so that ultramicro bubbles can be released underwater; the device can also detect the water quality and hydrology of a water body, and can also detect the water quality of initial rainwater by extending the detection outer rod into a river rainwater discharge port.

The invention discloses a control method and device of a fresh air conditioner and the air conditioner. The method comprises the steps that according to the obtained concentration of multiple indoor pollutants and the obtained concentration of multiple outdoor pollutants, an indoor air quality value and an outdoor air quality value are obtained through calculation; the indoor air quality value is compared with a first preset value and a second preset value to obtain a first comparison result, and the outdoor air quality value is compared with the first preset value and the second preset value to obtain a second comparison result; judging whether the first comparison result and the second comparison result meet preset conditions or not; if the first preset condition is met, the air inlet fan and the exhaust fan are closed; if the second preset condition is met, the air inlet fan and the exhaust fan are adjusted to the low air gear; and if the third preset condition is met, the air inlet fan and the exhaust fan are adjusted to the middle air gear. By monitoring various pollutants, the indoor and outdoor air quality can be comprehensively mastered, so that timely and accurate operation response can be realized.