Wind-driven water body oxygenation and purification system and purification method thereof

Abstract

The present application relates to a kind of wind-driven water body oxygenation purification system and its purification method, comprising: wind energy capture and transmission unit, including wind wheel, universal transmission mechanism and speed change assembly, for converting wind energy into mechanical energy to drive aeration pump, or connect generator to convert excess mechanical energy into electrical energy, photovoltaic power generation unit, including photovoltaic panel and maximum power point tracking controller, for converting solar energy into electrical energy, energy storage unit, for lithium battery pack, for storing the electrical energy generated by generator and photovoltaic power generation unit, deep aeration unit, including aeration pump, gas pipeline and microporous aeration terminal, for generating fine bubbles in water body, achieve the effect of adjusting dissolved oxygen concentration according to any wind custom, any illumination, any season.

Description

Technical Field

[0001] This invention relates to the field of purification system technology, and in particular to a wind-driven water oxygenation and purification system and its purification method. Background Technology

[0002] Landscape water bodies, such as artificial lakes in parks, water features in residential areas, and urban wetlands, are mostly enclosed or semi-enclosed slow-flowing bodies with long water exchange cycles and weak self-purification capabilities. During the high-temperature period in summer, these water bodies easily form a stable thermal stratification structure, with high surface water temperature and low bottom water temperature. The exchange of substances between the upper and lower layers is blocked by the thermocline, and dissolved oxygen in the bottom layer is rapidly depleted due to the decomposition of organic matter in the sediment. This induces the anaerobic release of pollutants such as phosphorus and ammonia nitrogen from the sediment, providing abundant nutrients for algal blooms, resulting in the water body turning green, smelling foul, and losing its landscape function. To alleviate these problems, existing technologies mainly use electrically driven aeration and oxygenation equipment, such as fountain aerators, blower aerators, or simple wind-powered direct-drive surface aeration devices.

[0003] However, electrically driven equipment relies on the municipal power grid, and the laying of cables damages the landscape, limits deployment flexibility, and has high operating costs year-round. While existing wind-driven devices eliminate reliance on the power grid, their starting wind speeds are generally too high, making them inoperable in the light winds of 1 to 2 m / s commonly found in landscape water bodies. Summer nights, on the other hand, are precisely the time when bottom oxygen deficiency is most severe and wind speeds are lowest. Furthermore, these devices can only agitate surface water or aerate at a fixed depth in the middle layer, failing to target oxygen to the core oxygen-deficient area at the bottom sediment interface during water stratification. They also cannot automatically adjust the aeration depth during mixing to achieve full-layer circulation. The oxygenation depth is disconnected from the thermal stratification of the water body, resulting in extremely limited improvement in bottom oxygen deficiency. Summary of the Invention

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the problem that the existing technology cannot automatically adjust the aeration depth during the mixing period to achieve full-layer circulation, the oxygenation depth is disconnected from the thermal stratification state of the water body, and the effect of improving the hypoxia of the bottom layer is extremely limited.

[0005] To solve the above-mentioned technical problems, the present invention provides a wind-driven water oxygenation and purification system and its purification method, comprising the following steps: S1. Real-time acquisition of environmental and water quality parameters, wherein the environmental parameters include at least wind speed V. wind Light intensity G, and the water quality parameters include at least the surface temperature T of the water body. top Bottom temperature T bottom and dissolved oxygen concentration (DO) at the bottom layer actual； S2. Determine V wind Is it greater than or equal to the preset start-up wind speed threshold V? th : If yes, then enter the wind-driven mode, where the wind turbine directly drives the aeration device to perform deep aeration on the water and converts excess mechanical energy into electrical energy for storage; otherwise, enter the photovoltaic-storage synergistic mode and execute step S3. S3. In the light-storage collaborative mode, determine whether the light intensity G is greater than or equal to the preset light threshold G. th ; If so, it is determined to be daytime operation, and the aeration device is driven by power from the photovoltaic panel to perform aeration in a first intermittent mode, wherein the aeration duration in the first intermittent mode is t. on Determine based on the following formula (Ⅰ) t on =K×(DO target - DO actual )×V / P pv ; In the formula, DO target The target dissolved oxygen concentration is V, where V is the preset oxygen-demanding water volume, and P is... pv The current photovoltaic output power is K, which is a composite coefficient that includes oxygen transfer efficiency and power consumption conversion. If not, it is determined to be a nighttime or cloudy day operation. The aeration device is powered by the energy storage battery to perform aeration in the second intermittent mode. The aeration power of the second intermittent mode is greater than that of the first intermittent mode, and the aeration duration is adjusted according to the state of charge of the energy storage battery. S4. Based on the surface temperature T of the water body top and bottom temperature T bottom Calculate the vertical temperature difference ΔT = T top -T bottom And determine whether ΔT is greater than the preset stratification threshold T. strat ; If so, the water body is determined to be in the stratification period, and the depth adjustment mechanism is driven to lower the aeration terminal to a preset first depth from the bottom sediment for concentrated reoxygenation of the bottom layer. If not, the water body is determined to be in the mixing period, and the depth adjustment mechanism is driven to raise the aeration terminal to a preset second depth in the middle layer of the water body for full-layer oxygenation circulation.

[0006] In one embodiment of the present invention, in S3, the first intermittent mode further includes setting an intermittent period T. c The aeration duration in each cycle is t. on The aeration shutdown time is T. c -t on Furthermore, the composite coefficient K is obtained through pre-calibration, and its expression is K = 1 / (η×α), where η is the oxygen transfer efficiency of the aeration device and α is the oxygen supply rate conversion factor per unit power.

[0007] In one embodiment of the present invention, in S3, in the second intermittent mode, when the state of charge (SOC) of the energy storage battery is lower than a preset lower limit, the main controller stops the aeration operation and only maintains power supply to the sensing and control system; when the SOC recovers to above the preset upper limit, the second intermittent mode continues to be executed.

[0008] In one embodiment of the present invention, in S2, under the wind-driven mode, the current dissolved oxygen concentration (DO) at the bottom layer is also considered. actual With the target dissolved oxygen concentration DO target The difference is used to adjust the transmission ratio from the impeller to the aeration device through a speed change mechanism to change the aeration intensity.

[0009] In one embodiment of the present invention, in S4, the first depth is 0.3m-0.5m from the bottom sediment, and the second depth is 1 / 3-1 / 2 of the total depth of the water body.

[0010] In one embodiment of the present invention, a wind-driven water oxygenation and purification system is provided, comprising: The wind energy capture and transmission unit, including a wind turbine, a universal drive mechanism and a transmission assembly, is used to convert wind energy into mechanical energy to drive an aeration pump, or to connect a generator to convert excess mechanical energy into electrical energy. A photovoltaic power generation unit, including photovoltaic panels and a maximum power point tracking controller, is used to convert solar energy into electrical energy; The energy storage unit is a lithium battery pack used to store the electrical energy generated by the generator and the photovoltaic power generation unit; The deep aeration unit, including an aeration pump, air supply pipeline and microporous aeration terminal, is used to generate microbubbles in water. The depth adjustment unit, including a winch mechanism or telescopic rod, is mechanically connected to the microporous aeration terminal and is used to adjust the aeration depth. The sensing unit includes at least an anemometer, a light meter, a water temperature sensor, and a dissolved oxygen sensor, which are used to collect wind speed, light intensity, water temperature difference, and bottom dissolved oxygen concentration, respectively. The main controller is electrically connected to the sensing unit, wind energy capture and transmission unit, photovoltaic power generation unit, energy storage unit, deep aeration unit and depth adjustment unit, and the main controller is configured with a control program.

[0011] In one embodiment of the present invention, the wind energy capture and transmission unit includes a centrifugal continuously variable transmission mechanism, which automatically adjusts the transmission ratio according to the input speed. The transmission ratio is used to increase the starting torque at low wind speeds and to limit the maximum speed of the aeration pump at high wind speeds.

[0012] In one embodiment of the present invention, the microporous aeration terminal is a disc-type microporous aerator with an air outlet diameter of 0.1-0.5 mm, and the deep aeration unit further includes a one-way valve to prevent water backflow when the unit is shut down.

[0013] In one embodiment of the present invention, the main controller further includes a self-learning module, which adjusts the composite coefficient K and the intermittent period T based on historical water quality data and meteorological data. c Perform dynamic corrections.

[0014] In one embodiment of the present invention, the entire system is mounted on a biomimetic floating platform, the wind turbine and photovoltaic panel are integrated on the platform, the depth adjustment unit and microporous aeration terminal are hidden below the platform, and the biomimetic floating platform floats on the water surface through a single-point mooring system and can rotate freely around the mooring point with the wind direction.

[0015] Compared with the prior art, the above-described technical solution of the present invention has the following advantages: The wind-driven water oxygenation and purification system and its purification method described in this invention construct an intelligent control logic that prioritizes wind drive, coordinates photovoltaic and energy storage, and implements stratified regulation. This logic integrates three energy supply modes—direct wind drive, photovoltaic supplementation, and energy storage guarantee—with real-time discrimination of the water body's thermal stratification state. As a result, the system can autonomously select the optimal oxygenation strategy under any wind speed, any light intensity, and any season, ensuring that the dissolved oxygen concentration at the bottom layer is always maintained above the threshold for inhibiting black and odorous water and phosphorus release from the sediment. Attached Figure Description

[0016] To make the content of this invention easier to understand, the invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0017] Figure 1 The logical judgment flow of a wind-driven water oxygenation and purification method in a preferred embodiment of the present invention is as follows. Figure 1 ; Figure 2 The logical judgment flow of a wind-driven water oxygenation and purification method in a preferred embodiment of the present invention is as follows. Figure 2 . Detailed Implementation

[0018] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, so that those skilled in the art can better understand and implement the present invention. However, the embodiments described are not intended to limit the present invention.

[0019] Reference Figure 1As shown, this invention proposes a wind-driven water oxygenation and purification system and method, aiming to solve the problems of hypoxia and eutrophication in landscape water bodies caused by high summer temperatures, water stratification, and windless weather. In existing technologies, electrically driven aeration equipment has high operating costs and cable laying affects the landscape; existing wind-powered aeration devices require high starting wind speeds and fail even in light breezes, and can only agitate surface water, failing to address hypoxia in the bottom layer, and cannot dynamically adjust the oxygenation depth according to seasonal stratification. This invention constructs an intelligent control logic that prioritizes wind drive, coordinates photovoltaic and energy storage, and regulates stratification. It integrates three power supply modes—direct wind drive, photovoltaic supplementation, and energy storage guarantee—with real-time identification of the water body's thermal stratification state, enabling the system to autonomously select the optimal oxygenation strategy under any wind speed, any light intensity, and any season, ensuring that the dissolved oxygen concentration in the bottom layer is always maintained above the threshold for inhibiting blackening and odor and phosphorus release from the sediment.

[0020] S1 collects V data in real time using an anemometer, illuminometer, water temperature sensor, and dissolved oxygen sensor. wind G, T top T bottom DO actual This enables the system to have a comprehensive perception of the environment and water conditions. Step S2 introduces the determination of the starting wind speed threshold Vth, prioritizing natural wind energy: when Vth... wind ≥ V th When it enters wind-driven mode, the aeration pump is directly mechanically driven by the wind turbine, and the excess mechanical energy is converted into electrical energy by the generator and stored in the lithium battery pack; when V win <V th The system automatically switches to a photovoltaic-storage collaborative mode. This dual-mode switching logic solves the problem of traditional wind-driven equipment stopping in the slightest breeze, allowing the system to continue oxygenation even without wind, relying on photovoltaics or energy storage. S3 further uses a light threshold G... th Distinguishing between daytime and nighttime operation, the system operates in a first intermittent mode during the day, powered by photovoltaic panels, and in a second intermittent mode with higher power at night or on cloudy days, powered by lithium battery packs, precisely matching the diurnal fluctuations of sunlight resources; S4 calculates the vertical temperature difference ΔT = T top - T bottom and with the stratification threshold T strat By comparing and determining the water stratification status: during the stratification period, the aeration terminal is lowered to the first depth for targeted reoxygenation of the bottom layer; during the mixing period, the aeration terminal is raised to the second depth to achieve full-layer circulation and oxygenation. This stratification discrimination and depth adaptive adjustment mechanism solves the contradiction that fixed-depth aeration cannot reach the anoxic bottom sediment in summer and that unnecessary disturbance of the entire layer occurs during the mixing season. It achieves intelligent purification effect by being fully autonomously driven by natural energy, switching between three energy supply modes according to climate and water conditions, and adjusting the oxygenation depth according to the thermal stratification status, so that the dissolved oxygen concentration at the bottom layer can be stably maintained at the target level under any climate combination.

[0021] If a simple timed control is used, the aeration rate cannot keep up with changes in light intensity. This may result in insufficient oxygen supply during low light and wasted energy during high light. Therefore, a formula is introduced... t on =K×(DO target - DO actual )×V / P pv ×V / P pv , Aeration duration t on oxygen demand deficit (DO) target - DO actual Proportional to, and related to the current photovoltaic output power P pv Inversely proportional; the composite coefficient K is further correlated with the oxygen transfer efficiency η of the aeration device and the oxygen supply rate conversion factor α through K = 1 / (η×α), the effect of which is: when the light intensity is strong, P pv Big, t on Automatically shortens, saves energy and stores electricity; P when light is weak pv Small, t on Automatic extension, striving to make up for the oxygen demand gap; when the water body is severely hypoxic, DO actual Much lower than DO target , t on The corresponding extension and on-demand supply have upgraded the first intermittent mode under the photovoltaic-storage synergy model from blind intermittent to intelligent intermittent with a measured output and on-demand oxygen supply, maximizing the use of limited and fluctuating photovoltaic energy and further ensuring that the dissolved oxygen at the bottom layer remains stable and meets the standards under various daytime light conditions.

[0022] In extreme weather conditions with continuous windlessness and lack of sunlight, if the lithium battery pack continues to discharge at high power until it is depleted, not only will oxygenation cease, but the sensing and control systems will also be paralyzed due to power failure, unable to autonomously resume operation when the weather improves. This feature is designed so that when the SOC falls below a preset lower limit, the main controller actively stops aeration, retaining only minimal power supply to the sensing units and itself, putting the system into a low-power sensing standby state; when wind or sunlight recovers and the SOC rises above the preset upper limit, it automatically resumes the second intermittent mode, adding a layer of self-protection and self-recovery capability to the system under extreme conditions. Under the most unfavorable conditions, it abandons active oxygenation to preserve the monitoring function, and seamlessly resumes oxygenation immediately after conditions recover, avoiding the chain risk of permanent system shutdown and rapid water deterioration caused by a single long cloudy day, thus ensuring all-weather reliability.

[0023] The wind-driven mode relies on the random fluctuations of natural wind speed. If a fixed transmission ratio is used, the aeration intensity will surge during gusts, potentially causing dissolved oxygen in the water to far exceed the target value, resulting in wasted wind energy. Conversely, if the water is already near saturation during steady-state winds, continuous high-intensity aeration is equally ineffective. This feature is based on DO actual With DO targetThe difference is used to adaptively adjust the transmission ratio from the impeller to the aeration pump through a speed change mechanism: when the difference is large, the transmission ratio is increased to improve the aeration intensity; when the difference is small, the transmission ratio is reduced to store excess mechanical energy through the generator. This upgrades the wind-driven mode from direct drive to closed-loop control with on-demand allocation, so that wind energy resources can be converted into electrical energy as much as possible and stored for use when there is no wind, while meeting the oxygenation demand. From the perspective of overall energy management, this improves the energy efficiency ratio and endurance of the entire system.

[0024] The first depth is set at 0.3m-0.5m from the bottom sediment, and the second depth is set at 1 / 3-1 / 2 of the total water depth. During the stratification period, the thermocline blocks the exchange of substances between the upper and lower layers. The bottom sediment consumes oxygen intensely, but the oxygen-rich water in the upper layer cannot be replenished naturally. If aeration is too deep at this time, the bubble plume will destroy the thermocline, causing the entire layer to mix. It may even roll the nutrients in the bottom sediment to the upper layer, inducing algal blooms. Therefore, oxygen must be precisely injected into the very close layer, 0.3-0.5m above the bottom sediment, to form an oxygen-rich barrier at the bottom sediment interface without disturbing the thermocline, effectively inhibiting phosphorus release. During the mixing period, the water flows smoothly between the upper and lower layers. The aeration terminal is raised to the middle layer, and the plume pump effect formed by the rising bubbles can drive the circulation of the entire layer, achieving efficient and uniform reoxygenation. This provides precise execution coordinates for the stratification judgment logic, has an engineering-based quantitative basis, and ensures that the depth adjustment will not be incorrect due to positioning deviation.

[0025] The system hardware architecture consists of seven major units: a wind energy capture and transmission unit, a photovoltaic power generation unit, an energy storage unit, a deep aeration unit, a depth regulation unit, a sensing unit, and a main controller. Compared with existing single electric drive or simple wind drive equipment, its first advantage lies in its multi-energy complementary energy architecture. The wind turbine is the main drive, supplemented by photovoltaics, and backed by lithium battery packs. Structurally, it completely eliminates dependence on the municipal power grid and can be independently deployed in any water area. The second advantage lies in its closed-loop architecture of sensing-control-execution: the sensing unit continuously collects wind speed, light intensity, water temperature, and dissolved oxygen. Based on this, the main controller runs a control program to adjust the transmission ratio of the wind energy capture and transmission unit, the power output of the photovoltaic power generation unit, the charging and discharging strategy of the energy storage unit, the aeration start and stop of the deep aeration unit, and the working position of the depth regulation unit, forming a complete autonomous decision-making chain. This system architecture provides a complete physical carrier for the implementation of intelligent purification logic, and the configuration of each hardware unit ensures the reliable execution of the corresponding method steps.

[0026] The impeller speed fluctuates drastically with wind speed. If a fixed-ratio gearbox is used, the torque is insufficient to start the aeration pump at low wind speeds, while at high wind speeds, the aeration pump may overspeed and be damaged. The centrifugal continuously variable transmission mechanism relies on the centrifugal force generated by rotation to drive the speed regulating element to change the transmission ratio. At low speeds, it maintains a large transmission ratio to increase torque, enabling the aeration pump to obtain starting torque; at high speeds, it automatically adjusts to a smaller transmission ratio, limiting the aeration pump speed to a safe and efficient range. This adjustment process is completed purely mechanically and autonomously, without the intervention of sensors or electronic control units. This significantly reduces the transmission loss of wind energy to mechanical energy, as well as electrical complexity and failure rate. It enables the wind energy capture and transmission unit to output power stably and efficiently over a wide wind speed range, supporting the continuous availability of the wind-driven mode under varying natural wind conditions.

[0027] The disc-type microporous aerator with an outlet diameter of 0.1-0.5mm and an added one-way valve allows for smaller bubble diameters, larger specific surface areas, slower rising speeds in water, longer gas-liquid contact time, and higher oxygen transfer efficiency (η). This enables the same reoxygenation effect with less air volume, reducing the consumption of limited wind and solar energy. When the system shuts down due to lack of wind or light, or a malfunction, external water pressure can drive water backflow into the aeration pump through the microporous aeration terminal and air supply pipeline. This can cause difficulties in restarting or even corrosion and damage to the pump body. The one-way valve opens when the airflow is positive and closes by spring or gravity when airflow stops, completely blocking the backflow path. This ensures long-term maintenance-free operation of the deep aeration unit from two dimensions: the quality of bubble production at the aeration terminal and system protection. This makes the system practical in applications such as landscape water bodies where frequent manual intervention is not advisable.

[0028] Different landscape water bodies exhibit significant differences in sediment properties, water morphology, background oxygen consumption rate, and algal community structure. Preset universal control parameters are unlikely to achieve optimal purification effects in every water body. The self-learning module, through long-term recording of dissolved oxygen (DO), addresses these differences. actual By combining the response curve of each aeration operation with historical meteorological data, the actual oxygen demand pattern of the specific water body is continuously fitted, and the K value is then corrected to more accurately reflect the true oxygen transfer efficiency. c The system is modified to better match the intermittent rhythm with the oxygenation recovery cycle of the water body, giving the main controller the ability to continuously evolve according to the water conditions. This ensures that the longer the system is deployed and the longer it runs, the more the oxygenation strategy will meet the actual needs of the water body.

[0029] The system is mounted on a biomimetic floating platform, with the wind turbine and photovoltaic panels integrated on the platform. The depth adjustment unit and microporous aeration terminals are hidden beneath the platform. The platform floats on the water surface via a single-point mooring system and can rotate freely around the mooring point. Since landscape water bodies have extremely high aesthetic requirements, exposed industrial pontoons, disordered pipes and cables would seriously damage the appearance. Moreover, fixed multi-cable mooring can easily make the aeration outflow direction constant, forming dead zones of local oxygen excess circulation. The biomimetic floating platform integrates all functional components and beautifies the appearance. The single-point mooring system makes the platform act as a wind vane, always rotating automatically with the wind direction, driving the microporous aeration terminals hidden below to change the release direction. From the perspective of spatial integration and aesthetic appearance, a complex electromechanical system is transformed into a floating landscape feature that can slowly rotate with the wind. At the same time, the passive propulsion effect of the single-point mooring changing the aeration outflow direction with the wind direction further enhances the horizontal circulation and reoxygenation uniformity of the water body, integrating the purification function with the landscape effect.

[0030] After the system is powered on, the main controller first completes a self-test to confirm that the anemometer, illuminometer, water temperature sensor, dissolved oxygen sensor, and lithium battery pack SOC are all in normal condition. It then enters the cyclic control process: Step 1: Data Acquisition. Real-time reading of wind speed V wind Light intensity G, surface water temperature T top Bottom water temperature T bottom and dissolved oxygen (DO) at the bottom layer actual ; Step 2: Wind speed determination. Compare V wind With the starting wind speed threshold V th If V wind ≥V th Entering wind-driven mode—the impeller directly drives the aeration pump for deep aeration, and the main controller synchronously monitors the DO (discharge / density) levels. actual With DO target The difference is used to adaptively adjust the transmission ratio through the transmission mechanism; excess mechanical energy is rectified by the generator and then charged into the lithium battery pack. If V wind <V th Then it switches to the photovoltaic-storage synergy mode; Step 3: Illumination Assessment. In the photovoltaic-storage collaborative mode, G is compared with the illumination threshold G. th If G≥G th The system is determined to be operating under daytime conditions. The photovoltaic panels are powered by the MPPT controller and operate in the first intermittent mode, with aeration duration t. on From formula t on =K×(DO target -DO actual )×V / P pv Real-time calculation, with an interval of T c If G < G thIf the system determines that the operation is at night or on a cloudy day, it switches to the second intermittent mode to perform short-term strong aeration with higher power. When the SOC is lower than the preset lower limit, aeration stops and only the sensor power supply is maintained. The system will automatically resume operation after the SOC recovers to above the preset upper limit. Step 4: Layering and Depth Adjustment. Calculate the vertical temperature difference ΔT = T top - T bottom , with the stratification threshold T strat Comparison. If ΔT > T strat If the water body is determined to be in a stratification phase, the depth adjustment mechanism lowers the aeration terminal to a first depth of 0.3m-0.5m from the bottom sediment for targeted reoxygenation of the bottom layer; if ΔT≤T strat If the water body is determined to be in the mixing period, the aeration terminal is raised to the second depth, which is 1 / 3 to 1 / 2 of the total water depth, to carry out full-layer circulation oxygenation; Step 5: Self-learning correction. During long-term system operation, the self-learning module continuously records DOs (Dots of Decision). actual The response curve of aeration operation and historical meteorological data, dynamically corrected composite coefficient K and intermittent period T c This allows the oxygenation strategy to gradually approach the optimal parameters for the water body.

[0031] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for purifying water by air-driven oxygenation, characterized in that: Includes the following steps: S1. Real-time acquisition of environmental and water quality parameters, wherein the environmental parameters include at least wind speed V. wind Light intensity G, and the water quality parameters include at least the surface temperature T of the water body. top Bottom temperature T bottom and dissolved oxygen concentration (DO) at the bottom layer actual ; S2. Determine V wind Is it greater than or equal to the preset start-up wind speed threshold V? th : If yes, then enter the wind-driven mode, where the wind turbine directly drives the aeration device to perform deep aeration on the water and converts excess mechanical energy into electrical energy for storage; otherwise, enter the photovoltaic-storage synergistic mode and execute step S3. S3. In the light-storage collaborative mode, determine whether the light intensity G is greater than or equal to the preset light threshold G. th ; If so, it is determined to be daytime operation, and the aeration device is driven by power from the photovoltaic panel to perform aeration in a first intermittent mode, wherein the aeration duration in the first intermittent mode is t. on Determine based on the following formula (Ⅰ) t on =K×(DO target - DO actual )×V / P pv ; In the formula, DO target The target dissolved oxygen concentration is V, where V is the preset oxygen-demanding water volume, and P is... pv The current photovoltaic output power is K, which is a composite coefficient that includes oxygen transfer efficiency and power consumption conversion. If not, it is determined to be a nighttime or cloudy day operation. The aeration device is powered by the energy storage battery to perform aeration in the second intermittent mode. The aeration power of the second intermittent mode is greater than that of the first intermittent mode, and the aeration duration is adjusted according to the state of charge of the energy storage battery. S4. Based on the surface temperature T of the water body top and bottom temperature T bottom Calculate the vertical temperature difference ΔT = T top - T bottom And determine whether ΔT is greater than the preset stratification threshold T. strat ; If so, the water body is determined to be in the stratification period, and the depth adjustment mechanism is driven to lower the aeration terminal to a preset first depth from the bottom sediment for concentrated reoxygenation of the bottom layer. If not, the water body is determined to be in the mixing period, and the depth adjustment mechanism is driven to raise the aeration terminal to a preset second depth in the middle layer of the water body for full-layer oxygenation circulation.

2. The method for air-driven water oxygenation and purification according to claim 1, characterized in that: In S3, the first intermittent mode further includes setting an intermittent period T. c The aeration duration in each cycle is t. on The aeration shutdown time is T. c -t on Furthermore, the composite coefficient K is obtained through prior calibration, and its expression is K = 1 / (η×α), where η is the oxygen transfer efficiency of the aeration device and α is the oxygen supply rate conversion factor per unit power.

3. The method for air-driven water oxygenation and purification according to claim 1, characterized in that: In S3, under the second intermittent mode, when the state of charge (SOC) of the energy storage battery is lower than the preset lower limit, the main controller stops aeration and only maintains power supply to the sensing and control systems; when the SOC recovers to above the preset upper limit, the second intermittent mode continues to be executed.

4. The method for air-driven water oxygenation and purification according to claim 1, characterized in that: In S2, under the wind-driven mode, the current dissolved oxygen concentration (DO) at the bottom layer is also considered. actual With the target dissolved oxygen concentration DO target The difference is used to adaptively adjust the transmission ratio from the impeller to the aeration device through a speed change mechanism to change the aeration intensity.

5. The method for air-driven water oxygenation and purification according to claim 1, characterized in that: In S4, the first depth is 0.3m-0.5m from the bottom sediment, and the second depth is 1 / 3-1 / 2 of the total water depth.

6. A wind-driven water aeration and purification system, employing the purification method as described in any one of claims 1-5, characterized in that: include: The wind energy capture and transmission unit, including a wind turbine, a universal drive mechanism and a transmission assembly, is used to convert wind energy into mechanical energy to drive an aeration pump, or to connect a generator to convert excess mechanical energy into electrical energy. A photovoltaic power generation unit, including photovoltaic panels and a maximum power point tracking controller, is used to convert solar energy into electrical energy; The energy storage unit is a lithium battery pack used to store the electrical energy generated by the generator and the photovoltaic power generation unit; The deep aeration unit, including an aeration pump, air supply pipeline and microporous aeration terminal, is used to generate microbubbles in water. The depth adjustment unit, including a winch mechanism or telescopic rod, is mechanically connected to the microporous aeration terminal and is used to adjust the aeration depth. The sensing unit includes at least an anemometer, a light meter, a water temperature sensor, and a dissolved oxygen sensor, which are used to collect wind speed, light intensity, water temperature difference, and bottom dissolved oxygen concentration, respectively. The main controller is electrically connected to the sensing unit, wind energy capture and transmission unit, photovoltaic power generation unit, energy storage unit, deep aeration unit and depth adjustment unit, and the main controller is configured with a control program.

7. The wind-driven water oxygenation and purification method according to claim 6, characterized in that: The wind energy capture and transmission unit includes a centrifugal continuously variable transmission mechanism, which automatically adjusts the transmission ratio according to the input speed. It is used to increase the starting torque with a large transmission ratio when the wind speed is low, and to limit the maximum speed of the aeration pump with a small transmission ratio when the wind speed is high.

8. The method for air-driven water oxygenation and purification according to claim 1, characterized in that: The microporous aeration terminal is a disc-type microporous aerator with an air outlet diameter of 0.1-0.5mm, and the deep aeration unit also includes a one-way valve to prevent water backflow when the machine is stopped.

9. The wind-driven water oxygenation and purification method according to claim 1, characterized in that: The main controller also has a built-in self-learning module, which adjusts the composite coefficient K and the intermittent period T based on historical water quality data and meteorological data. c Perform dynamic corrections.

10. The wind-driven water oxygenation and purification method according to claim 1, characterized in that: The entire system is mounted on a biomimetic floating platform. The wind turbine and photovoltaic panel are integrated on the platform, while the depth adjustment unit and microporous aeration terminal are hidden below the platform. The biomimetic floating platform floats on the water surface through a single-point mooring system and can rotate freely around the mooring point with the wind direction.

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