A floating type small and micro wetland device for controlling non-point source pollution in a hydro-fluctuation belt

Abstract

The present application relates to the technical field of wetland restoration, and more particularly to a floating small and micro wetland device for the treatment of non-point source pollution in the drawdown zone, comprising a floating base layer made of lightweight material; a purification unit designed in a modular manner and comprising various treatment modules; an intelligent sensing unit; and a control module for processing and analyzing water quality data collected by the intelligent sensing unit, identifying water quality conditions, and controlling the purification unit according to the water quality conditions; by optimizing the material density and thickness ratio of the floating base layer, the device can automatically adjust the buoyancy with water level fluctuations, completely solving the problems of easy damage and poor adaptability of traditional fixed structures in the drawdown zone, and improving the stability by more than 50% in extreme water level change scenarios, and prolonging the service life to 10 years (HDPE type) or achieving environmentally friendly degradation.

Description

Technical Field

[0001] This invention relates to the field of wetland restoration technology, and in particular to a floating micro-wetland device for the treatment of non-point source pollution in drawdown zones. Background Technology

[0002] The drawdown zone, a unique ecosystem formed by the periodic rise and fall of water levels, is a transitional area between terrestrial and aquatic environments, and is susceptible to non-point source pollution from agricultural runoff and domestic sewage. Current technologies for controlling non-point source pollution in the drawdown zone mainly include constructed wetlands, ecological slope protection, and biofilm reactors. Among these, constructed wetland technology is widely used due to its advantages such as low cost and eco-friendliness.

[0003] However, traditional constructed wetlands mostly employ fixed structures, with their bases and purification units rigidly fixed to the riverbed or bank slopes. This makes them ill-suited to the dramatic seasonal fluctuations in water levels during drawdown periods (such as the annual water level variation of up to 30 meters in the Three Gorges Reservoir area). This results in damage during low water periods and submersion failure during high water periods, leading to a reduction in purification efficiency of over 50%. Furthermore, while existing floating wetland devices can move with the water level, their structures are simple, typically relying on plant absorption or single-filler filtration, lacking multi-stage synergistic purification mechanisms. Their removal rate of dissolved pollutants (such as ammonia nitrogen and total phosphorus) is less than 40%, and their low modularity prevents flexible expansion based on terrain. On the other hand, existing technologies generally lack intelligent control methods, failing to monitor water quality parameters in real time and dynamically adjust operating strategies. Key parameters such as aeration and water flow rely on manual experience for setting, resulting in delayed responses to sudden changes in pollution load and fluctuations in treatment effectiveness.

[0004] Therefore, there is an urgent need for a floating wetland device that combines water level self-adaptation, multi-level collaborative purification, and intelligent dynamic control to solve the core problems of low efficiency and poor stability in the treatment of ground source pollution in the complex environment of the drawdown zone. Summary of the Invention

[0005] In order to overcome the problems mentioned in the background art, the present invention proposes a floating micro-wetland device for the treatment of non-point source pollution in the drawdown zone.

[0006] The technical solution of this invention is: a floating micro-wetland device for the treatment of non-point source pollution in drawdown zones, comprising:

[0007] The floating base layer, made of lightweight materials, is used to achieve adaptive buoyancy of the entire device to water level fluctuations;

[0008] The purification unit adopts a modular design, including multiple treatment modules, for treating pollutants in the water;

[0009] The intelligent sensing unit is used to collect water quality data using multimodal sensor technology;

[0010] The control module is used to process and analyze the water quality data collected by the intelligent sensing unit, identify the water quality conditions, and control the purification unit according to the water quality conditions.

[0011] Preferably, the floating base layer is made of either lightweight high-density polyethylene or a biodegradable composite material. The thickness and density of the floating base layer are set according to the purification unit. The more types of purification units there are, the lower the density and the greater the thickness of the floating base layer. The biodegradable composite material is made of polylactic acid and natural plant fiber in a mass ratio of 7:3.

[0012] Preferably, the purification unit includes:

[0013] A11: Physical filtration layer, superimposed on the floating substrate layer, is a composite adsorption medium composed of activated carbon and zeolite, wherein the volume ratio of activated carbon to zeolite is 6:4, and the surface of activated carbon is loaded with nano iron oxide.

[0014] A12: Bioreactor Layer, a bioreactor structure composed of biological packing material and a microporous aeration system. The biological packing material contains a composite microbial agent containing a mixture of aerobic and anaerobic bacteria. The loading agent includes nitrifying bacteria, denitrifying bacteria, and polyphosphate-accumulating bacteria, and the agent density is greater than 10. 5 CFU / g packing material;

[0015] A13: Plant absorption layer, set on the surface and inside the physical filtration layer, using wetland plants that are compatible with local climate and water quality conditions.

[0016] Preferably, the microporous aeration system in the bioreactor layer includes:

[0017] A21: Microporous aeration head, installed inside the biological packing material, with a pore size of 50-100 micrometers, made of either EPDM rubber or silicone;

[0018] A22: Flexible gas transmission pipeline, connecting the new energy drive unit and the microporous aerator head, with an embedded counterweight;

[0019] A23: New energy drive unit, including power supply unit and aeration unit. The power supply unit uses solar photovoltaic panels and battery packs to supply power to the aeration unit.

[0020] Preferably, the intelligent sensing unit includes a dissolved oxygen sensor, a pH sensor, an ammonia nitrogen sensor, and a total phosphorus sensor.

[0021] Preferably, the control module includes:

[0022] A31: Edge control node, used to process and analyze the data collected by the intelligent sensing unit in real time, and control the microporous aeration system according to the preset control logic;

[0023] A32: Remote control center, used for long-term aggregation and analysis of data collected by intelligent sensing units.

[0024] Preferably, when the edge control node processes and analyzes the data collected by the intelligent sensing unit in real time and controls the microporous aeration system according to preset control logic, it specifically includes:

[0025] S11: Data reception and preprocessing, receiving data collected by the intelligent sensing unit and performing filtering, noise reduction and normalization on the data;

[0026] S12: Data judgment, compare the preprocessed data with the set threshold, and classify the data according to the threshold;

[0027] S13: Dynamic adjustment of aeration power. Based on the current data classification results, the target aeration power is calculated and the microporous aeration system is driven.

[0028] Preferably, when comparing the preprocessed data with a set threshold and classifying the data according to the threshold, the specific steps include:

[0029] S21: Threshold grading, compares the data collected by the intelligent sensing unit with the threshold, and calculates the specific grading of each data item;

[0030] S22: Select mode according to rules. The mode selection is performed based on the set priority rules, which include:

[0031] When the ammonia nitrogen concentration exceeds 2.0 mg / L, it will be forced into a high-load mode;

[0032] When the ammonia nitrogen concentration is less than 2.0 mg / L and the dissolved oxygen content is less than 3.0 mg / L, switch to baseline mode and increase aeration power;

[0033] When the ammonia nitrogen concentration is less than 0.5 mg / L and the dissolved oxygen content is greater than 5.0 mg / L, switch to low power mode;

[0034] S23: Temperature compensation factor calculation. The temperature compensation factor is calculated based on the current temperature. The formula for calculating the temperature compensation factor is as follows:

[0035] Where T is the current real-time temperature and K is the temperature compensation factor.

[0036] Preferably, when calculating the target aeration power and driving the microporous aeration system based on the classification results of the current data, it is divided into high-load mode, baseline mode and low-energy consumption mode. The target aeration power is the product of the basic power and the temperature compensation factor. The basic power of the high-load mode is 120% of the rated power and the water flow rate through the device is controlled at 0.3 cubic meters per hour. The basic power of the baseline mode is controlled at 100% of the rated power and the water flow rate through the device is controlled at 0.5 cubic meters per hour. The basic power of the low-energy consumption mode is 30% of the rated power and the water flow rate through the device is controlled at 0.8 cubic meters per hour.

[0037] As a preferred option, when the remote control center performs long-term aggregation and analysis of the data collected by the intelligent sensing unit, it specifically includes:

[0038] S31: Long-term data storage and cleaning, which archives the data collected by the intelligent sensing unit to the remote control center and performs periodic cleaning and structured processing.

[0039] S32: Water quality trend analysis and compliance assessment, evaluate the improvement effect based on historical data, predict future water quality change trends through LSTM model, and compare and analyze with the set target data;

[0040] S33: Root cause analysis, identifying dominant pollutants using Pearson correlation coefficients;

[0041] S34: Optimization Recommendation Generation. Based on water quality analysis results and external environmental parameters, generate recommendations for adjusting the equipment deployment strategy, including equipment data adjustments and layout optimization. The number of equipment units is calculated using the following formula:

[0042]

[0043] Where L represents the target pollutant load and C represents the single unit's processing capacity.

[0044] The beneficial effects of this invention are:

[0045] 1. By optimizing the material density and thickness ratio of the floating base layer, the device can automatically adjust buoyancy according to water level fluctuations (0.5-3m), completely solving the problems of easy damage and poor adaptability of traditional fixed structures in the drawdown zone. The stability is improved by more than 50% in extreme water level change scenarios, and the service life is extended to 10 years (HDPE type) or environmentally friendly degradation is achieved.

[0046] 2. Through a hierarchical intelligent system based on edge computing (real-time data hierarchical control) and cloud analysis (LSTM water quality prediction), combined with temperature compensation factor (K=0.8-1.2) and pulse aeration strategy, dynamic optimization of aeration power is achieved, reducing energy consumption by 50%; blockchain carbon sequestration certificate generation technology expands the economic benefit path of ecological governance projects.

[0047] 3. Through real-time data feedback and intelligent algorithm optimization, this solution achieves precise control over the deployment and operation of the device: dynamically adjusting the aeration power (±20% of the rated value) and water flow rate (0.3-0.8m) based on water quality sensors. 3 By combining GIS heat maps and genetic algorithms to optimize the layout of devices (coverage ≥90%, spacing ≥5m), the pollutant interception efficiency is increased by 35% with the same number of devices; by modularly expanding and dynamically matching pollution loads (such as adding devices during the rainy season), the treatment cycle is shortened by 40% and the investment cost per unit area is reduced by 18%, solving the problem of "blind deployment and inefficient operation" in traditional treatment, and realizing the flexibility, precision and sustainability of treatment of complex terrain drawdown zones. Attached Figure Description

[0048] Fig. 1 The diagram shown is a schematic representation of the overall structure of the floating micro-wetland device for treating non-point source pollution in drawdown zones according to the present invention.

[0049] Fig. 2 The diagram shows the structure of the floating base layer and purification unit in the floating micro-wetland device for the treatment of non-point source pollution in the drawdown zone according to the present invention. Detailed Implementation

[0050] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0051] Please see Figs. 1-2 This invention provides an embodiment: a floating micro-wetland device for treating non-point source pollution in drawdown zones, comprising:

[0052] The floating base layer is made of lightweight materials and is used to achieve adaptive buoyancy of the device to water level fluctuations. Specifically, it is made of either lightweight high-density polyethylene or biodegradable composite material. The thickness and density of the floating base layer are set according to the purification unit. The more types of purification units there are, the lower the density and the greater the thickness of the floating base layer. The biodegradable composite material is made of polylactic acid and natural plant fiber in a mass ratio of 7:3.

[0053] The purification unit adopts a modular design, including multiple treatment modules for treating pollutants in the water, including:

[0054] The physical filtration layer, superimposed on the floating substrate layer, is a composite adsorption medium composed of activated carbon and zeolite, wherein the volume ratio of activated carbon to zeolite is 6:4, and the surface of the activated carbon is loaded with nano iron oxide.

[0055] The bioreactor layer is a bioreactor structure composed of biological packing material and a microporous aeration system. The biological packing material is filled with a composite microbial agent containing a mixture of aerobic and anaerobic bacteria. The loading agent includes nitrifying bacteria, denitrifying bacteria, and polyphosphate-accumulating bacteria, and the agent density is greater than 10. 5 The CFU / g packing material and microporous aeration system include microporous aeration heads, which are installed inside the biological packing material with a pore size of 50-100 micrometers and are made of either EPDM rubber or silicone; flexible air delivery pipes, which connect the new energy drive unit and the microporous aeration heads and have embedded counterweights; and a new energy drive unit, which includes a power supply unit and an aeration unit, with the power supply unit using solar photovoltaic panels and a battery pack to power the aeration unit.

[0056] The plant absorption layer is set on the surface and inside the physical filtration layer, and wetland plants that are compatible with local climate and water quality conditions are selected.

[0057] The intelligent sensing unit is used to collect water quality data using multimodal sensor technology, including dissolved oxygen sensor, pH sensor, ammonia nitrogen sensor and total phosphorus sensor;

[0058] The control module is used to process and analyze the water quality data collected by the intelligent sensing unit, identify the water quality status, and control the purification unit according to the water quality status. Specifically, it includes:

[0059] Edge control nodes are used to process and analyze the data collected by the intelligent sensing unit in real time, and control the microporous aeration system according to preset control logic; remote control centers are used to summarize and analyze the data collected by the intelligent sensing unit over a long period of time.

[0060] Specifically, when the edge control node processes and analyzes the data collected by the intelligent sensing unit in real time and controls the microporous aeration system according to preset control logic, it includes:

[0061] It receives data collected by the intelligent sensing unit and performs filtering, noise reduction, and normalization on the data; it compares the pre-processed data with the set threshold and classifies the data according to the threshold; based on the classification result of the current data, it calculates the target aeration power and drives the micropore aeration system.

[0062] Specifically, when comparing the preprocessed data with a set threshold and classifying the data according to the threshold, the process includes:

[0063] The data collected by the intelligent sensing unit is compared with thresholds to calculate the specific classification of each data type. Based on the set priority rules, a mode selection is performed. These priority rules include: when the ammonia nitrogen concentration is greater than 2.0 mg / L, a high-load mode is forcibly entered; when the ammonia nitrogen concentration is less than 2.0 mg / L and the dissolved oxygen content is less than 3.0 mg / L, a baseline mode is entered and aeration power is increased; when the ammonia nitrogen concentration is less than 0.5 mg / L and the dissolved oxygen content is greater than 5.0 mg / L, a low-power mode is switched to. Finally, a temperature compensation factor is calculated based on the current temperature. The formula for calculating the temperature compensation factor is:

[0064] Where T is the current real-time temperature and K is the temperature compensation factor.

[0065] When calculating the target aeration power and driving the microporous aeration system based on the current data classification results, the system is divided into high-load mode, baseline mode, and low-energy consumption mode. The target aeration power is the product of the basic power and the temperature compensation factor. Specifically, the basic power of the high-load mode is 120% of the rated power, and the water flow rate through the device is controlled at 0.3 cubic meters per hour. The basic power of the baseline mode is controlled at 100% of the rated power, and the water flow rate through the device is controlled at 0.5 cubic meters per hour. The basic power of the low-energy consumption mode is 30% of the rated power, and the water flow rate through the device is controlled at 0.8 cubic meters per hour.

[0066] The remote control center, when summarizing and analyzing the data collected by the intelligent sensing unit over a long period, specifically includes:

[0067] S31: Long-term data storage and cleaning, which archives the data collected by the intelligent sensing unit to the remote control center and performs periodic cleaning and structured processing.

[0068] S32: Water quality trend analysis and compliance assessment, evaluate the improvement effect based on historical data, predict future water quality change trends through LSTM model, and compare and analyze with the set target data;

[0069] S33: Root cause analysis, identifying dominant pollutants using Pearson correlation coefficients;

[0070] S34: Optimization Recommendation Generation. Based on water quality analysis results and external environmental parameters, generate recommendations for adjusting the equipment deployment strategy, including equipment data adjustments and layout optimization. The number of equipment units is calculated using the following formula:

[0071]

[0072] Where L represents the target pollutant load and C represents the single unit's processing capacity.

[0073] Example 1

[0074] The seasonal drawdown zone of the Three Gorges Reservoir experiences water level fluctuations ranging from 0.5 to 3 meters. The main focus is on controlling ammonia nitrogen (NH3-N) and total phosphorus (TP) pollution from agricultural runoff. The specific implementation plan is as follows:

[0075] Device configuration:

[0076] Floating base layer: Material: HDPE (density 0.95g / cm³) 3 Dimensions: 2m × 2m × 0.15m; Buoyancy design: capable of supporting 300kg / m³ 2 Load capacity to accommodate water level changes of up to 3 meters.

[0077] Purification unit:

[0078] Physical filtration layer (thickness 0.2m): Activated carbon (particle size 2-4mm) and zeolite (particle size 3-5mm) are mixed in a volume ratio of 6:4; nano iron oxide (5wt%) is loaded on the surface of the activated carbon to enhance phosphorus adsorption;

[0079] Bioreactor layer (thickness 0.3m): Bio-filler: porous ceramsite (porosity ≥65%); Composite microbial agent: nitrifying bacteria (Nitrosomonas), denitrifying bacteria (Pseudomonas), polyphosphate-accumulating bacteria (Acinetobacter), agent density 1×10⁻⁶ 6 CFU / g packing material; microporous aeration head: EPDM material, pore size 80μm, arrayed with a spacing of 0.5m×0.5m.

[0080] Plant absorption layer: Plant species: Typha orientalis, planting density 4 plants / ㎡; root depth: 50-80cm.

[0081] Intelligent sensing unit:

[0082] Sensor configuration: fluorescence DO sensor (range 0-20 mg / L), ultraviolet spectroscopy NH3-N sensor (range 0-10 mg / L), ammonium molybdate spectrophotometric TP sensor; sampling frequency: NH3-N / TP once every 15 minutes, DO once every 5 minutes.

[0083] Control module:

[0084] Edge control node: Aeration control logic: High load mode (NH3-N>2.0mg / L): Aeration power 1.2kW, flow rate 0.3m 3 / h; Temperature compensation: When T=8℃, the power is increased to 1.2×1.2=1.44kW; Abnormal handling: DO <2.0mg / L for 2 consecutive hours triggers an alarm.

[0085] Remote Control Center:

[0086] Historical data analysis: LSTM is used to predict the NH3-N concentration for the next 7 days (MAE < 0.2 mg / L); Optimization suggestion: Based on the pollution load L = 12 kg / d and the single unit treatment capacity C = 2 kg / d, the number of new units required is calculated as N = (12 × 1.2) / 2 = 7.2 → It is recommended to add 8 units.

[0087] Operational results: NH3-N removal rate: 85% (from 3.5 mg / L to 0.5 mg / L); TP removal rate: 78% (from 0.8 mg / L to 0.18 mg / L); Energy consumption: 0.8 kW·h / kg pollutant removal.

[0088] Example 2

[0089] Application scenario: This embodiment is designed for environments that require ecological restoration and natural degradation of the device, such as urban landscape water bodies and temporary flood storage areas. It focuses on solving the problems of excessive organic pollutants and short-term ammonia nitrogen. The design service life is two years.

[0090] Device Configuration: The floating substrate layer is made of polylactic acid and wheat straw fiber composite, mixed in a 7:3 mass ratio and hot-pressed. The board is 20 cm thick with a density of 0.85 g / cm³. An internal ramie fiber mesh is embedded to enhance structural strength. The material can completely degrade into carbon dioxide and water in an aquatic environment within 24 months. The physical filtration layer of the purification unit uses a mixture of coconut shell activated carbon and modified zeolite filler with a particle size of 3-5 mm, with additional crushed walnut shells to improve porosity. The bioreactor layer uses hydrophobic polyurethane foam as a microbial carrier, with a foam pore size of 1-3 mm. Quaternary ammonium groups are grafted onto the surface to inhibit algae growth. It incorporates a 50-micron pore size silica gel aerator and is connected to a wind-solar hybrid power supply system via biodegradable plastic pipes. The plant layer is a mixture of calamus and reeds, utilizing the differences in their root systems to form a three-dimensional absorption zone. Combined with microbial agents, it enhances the degradation of sodium dodecylbenzene sulfonate residues from detergents.

[0091] Intelligent Control System: Integrates a chemical oxygen demand (COD) sensor and an ion-selective ammonia nitrogen electrode, collecting data every half hour. The edge controller incorporates a fuzzy control algorithm, automatically extending aeration time and simultaneously adjusting the water circulation speed in the aquatic plant zone when COD suddenly increases. The remote platform utilizes blockchain technology to record pollutant removal data on the blockchain in real time, generating tradable carbon reduction certificates. As the device approaches its degradation cycle, the system automatically pushes plant transplantation suggestions and material replacement warnings, guiding maintenance personnel to replace modules in batches.

[0092] Operational Results: In a city wetland park in the Taihu Lake Basin, the device successfully reduced the chemical oxygen demand (COD) in the water from 150 mg / L to below 30 mg / L, and improved the compliance rate of ammonia nitrogen peak control during the rainy season by 40%. Degradation tests showed that the device began to disintegrate after 23 months and was completely integrated into the ecological environment within 30 months. No microplastic residues were detected, and the plant community naturally evolved into a native wetland ecosystem.

[0093] In summary, by optimizing the material density and thickness ratio of the floating base layer, the device can automatically adjust its buoyancy according to water level fluctuations (0.5-3m), completely solving the problems of easy damage and poor adaptability of traditional fixed structures in the drawdown zone. The stability is improved by more than 50% in extreme water level change scenarios, and the service life is extended to 10 years (HDPE type) or environmentally friendly degradation is achieved.

[0094] Meanwhile, through a hierarchical intelligent system based on edge computing (real-time data hierarchical control) and cloud analysis (LSTM water quality prediction), combined with temperature compensation factor (K=0.8-1.2) and pulse aeration strategy, dynamic optimization of aeration power is achieved, reducing energy consumption by 50%; blockchain carbon sequestration certificate generation technology expands the economic benefit path of ecological governance projects.

[0095] Furthermore, compared to existing technologies, this solution achieves precise control over device deployment and operation through real-time data feedback and intelligent algorithm optimization: dynamically adjusting aeration power (±20% of rated value) and water flow rate (0.3-0.8m) based on water quality sensors. 3 By combining GIS heat maps and genetic algorithms to optimize the layout of devices (coverage ≥90%, spacing ≥5m), the pollutant interception efficiency is increased by 35% with the same number of devices; by modularly expanding and dynamically matching pollution loads (such as adding devices during the rainy season), the treatment cycle is shortened by 40% and the investment cost per unit area is reduced by 18%, solving the problem of "blind deployment and inefficient operation" in traditional treatment, and realizing the flexibility, precision and sustainability of treatment of complex terrain drawdown zones.

Claims

1. A floating micro-wetland device for treating non-point source pollution in drawdown zones; characterized in that: Including: The floating base layer is made of lightweight materials and is used to achieve adaptive buoyancy of the entire device to water level fluctuations. The floating base layer is made of either lightweight high-density polyethylene or biodegradable composite material. The thickness and density of the floating base layer are set according to the purification unit. The more types of purification units there are, the lower the density and the greater the thickness of the floating base layer. The biodegradable composite material is made of polylactic acid and natural plant fiber in a mass ratio of 7:

3. The purification unit adopts a modular design, including multiple treatment modules, for treating pollutants in the water. The purification unit includes: A11: Physical filtration layer, superimposed on the floating substrate layer, is a composite adsorption medium composed of activated carbon and zeolite, wherein the volume ratio of activated carbon to zeolite is 6:4, and the surface of activated carbon is loaded with nano iron oxide. A12: Bioreactor Layer, a bioreactor structure composed of biological packing material and a microporous aeration system. The biological packing material contains a composite microbial agent containing a mixture of aerobic and anaerobic bacteria. The loading agent includes nitrifying bacteria, denitrifying bacteria, and polyphosphate-accumulating bacteria, and the agent density is greater than [missing information]. filler; A13: Plant absorption layer, set on the surface and inside the physical filtration layer, using wetland plants that are compatible with local climate and water quality conditions; The intelligent sensing unit is used to collect water quality data using multimodal sensor technology; The control module is used to process and analyze the water quality data collected by the intelligent sensing unit, identify the water quality conditions, and control the purification unit according to the water quality conditions. The control module includes: A31: Edge control node, used to process and analyze the data collected by the intelligent sensing unit in real time, and control the microporous aeration system according to the preset control logic; A32: Remote control center, used for long-term aggregation and analysis of data collected by intelligent sensing units; The microporous aeration system in the bioreactor layer includes: A21: Microporous aeration head, installed inside the biological packing material, with a pore size of 50-100 micrometers, made of either EPDM rubber or silicone; A22: Flexible gas transmission pipeline, connecting the new energy drive unit and the microporous aerator head, with an embedded counterweight; A23: New energy drive unit, including power supply unit and aeration unit. The power supply unit uses solar photovoltaic panels and battery packs to power the aeration unit. Specifically, when the edge control node processes and analyzes the data collected by the intelligent sensing unit in real time and controls the microporous aeration system according to preset control logic, it includes: S11: Data reception and preprocessing, receiving data collected by the intelligent sensing unit and performing filtering, noise reduction and normalization on the data; S12: Data judgment, compare the preprocessed data with the set threshold, and classify the data according to the threshold; S13: Dynamic adjustment of aeration power. Based on the current data classification results, the target aeration power is calculated and the microporous aeration system is driven. When comparing the preprocessed data with a set threshold and classifying the data according to the threshold, the specific steps include: S21: Threshold grading, compares the data collected by the intelligent sensing unit with the threshold, and calculates the specific grading of each data item; S22: Select mode according to rules. The mode selection is performed based on the set priority rules, which include: When the ammonia nitrogen concentration exceeds 2.0 mg / L, it will be forced into a high-load mode; When the ammonia nitrogen concentration is less than 2.0 mg / L and the dissolved oxygen content is less than 3.0 mg / L, switch to baseline mode and increase aeration power; When the ammonia nitrogen concentration is less than 0.5 mg / L and the dissolved oxygen content is greater than 5.0 mg / L, switch to low power mode; S23: Temperature compensation factor calculation, the temperature compensation factor is calculated based on the current temperature; When calculating the target aeration power and driving the microporous aeration system based on the current data classification results, it is divided into high-load mode, baseline mode and low-energy consumption mode. The target aeration power is the product of the basic power and the temperature compensation factor. The basic power of the high-load mode is 120% of the rated power and the water flow rate through the device is controlled at 0.3 cubic meters per hour. The basic power of the baseline mode is controlled at 100% of the rated power and the water flow rate through the device is controlled at 0.5 cubic meters per hour. The basic power of the low-energy consumption mode is 30% of the rated power and the water flow rate through the device is controlled at 0.8 cubic meters per hour. When the remote control center performs long-term aggregation and analysis of the data collected by the intelligent sensing unit, it specifically includes: S31: Long-term data storage and cleaning, which archives the data collected by the intelligent sensing unit to the remote control center and performs periodic cleaning and structured processing. S32: Water quality trend analysis and compliance assessment, evaluate the improvement effect based on historical data, predict future water quality change trends through LSTM model, and compare and analyze with the set target data; S33: Root cause analysis, identifying dominant pollutants using Pearson correlation coefficients; S34: Optimization suggestion generation. Based on water quality analysis results and external environmental parameters, generate suggestions for adjusting the device deployment strategy, including device data adjustment and layout optimization.

2. The floating micro-wetland device for treating non-point source pollution in drawdown zones according to claim 1, characterized in that: The formula for calculating the temperature compensation factor is: Where T is the current real-time temperature and K is the temperature compensation factor.

3. A floating micro-wetland device for treating non-point source pollution in drawdown zones according to claim 2, characterized in that: In the optimization suggestion generation step, the number of devices is calculated using the following formula: ； Where L represents the target pollutant load and C represents the single unit's processing capacity.

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