Culture pond carbon sequestration system based on aquatic plant-algae coordinated regulation and optimization method

Abstract

The invention provides a culture pond carbon sequestration system and optimization method based on aquatic plant-algae coordinated regulation and control, and relates to the technical field of carbon sequestration, the system comprises a coordinated regulation and control module for intelligently regulating growth conditions of aquatic plants and algae, an environment adaptation control module for regulating temperature, illumination intensity, nutrient concentration and pH value in a water body in real time, and a carbon adsorption optimization module, the carbon source concentration in the water body is accurately controlled. According to the culture pond carbon sequestration system based on aquatic plant-algae coordinated regulation and control and the optimization method, key environmental parameters in a water body are continuously collected through a real-time monitoring system, and nutrient supply, temperature and illumination intensity are dynamically adjusted by using a feedback mechanism. The dynamic adjustment capability ensures that the aquatic plants and the algae are always kept in the optimal growth state under changing environmental conditions, so that the carbon sequestration efficiency is improved. And through automatic adjustment, the complexity of manual operation is avoided, and the stability and the high efficiency of the system are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of carbon sequestration, in particular to a breeding pond carbon sequestration system based on water grass-algal synergistic regulation and an optimization method. BACKGROUND

[0002] With the intensification of climate change, carbon sequestration technology has gradually become an important means to reduce the concentration of carbon dioxide in the atmosphere and alleviate the greenhouse effect. Among the many carbon sequestration technologies, water ecosystem carbon sequestration has become a research hotspot due to its high carbon absorption efficiency. Water grass and algae, as the main organisms in the water ecosystem, absorb carbon dioxide through photosynthesis and convert it into organic matter, which not only regulates the water ecological environment, but also plays an important role in global carbon cycle. The synergistic effect of water grass and algae is believed to improve carbon sequestration efficiency under various environmental conditions and has become a research frontier.

[0003] Currently, many studies focus on the carbon sequestration efficiency of water grass and algae under different environmental conditions. For example, algae can rapidly absorb carbon dioxide through photosynthesis and convert it into biomass, which can effectively reduce the concentration of carbon dioxide in water. Water grass, as a common aquatic plant, absorbs nutrients through its root system and promotes carbon deposition in water, thereby further enhancing the carbon sequestration effect. In recent years, some scholars have attempted to introduce a combination of water grass and algae in breeding ponds to take advantage of their complementary advantages and achieve higher carbon sequestration efficiency. These studies have shown that the carbon sequestration effect of water grass and algae working together is much better than that of a single species.

[0004] The most critical defect of current carbon sequestration systems is the lack of stability. Existing technologies are mostly based on optimization schemes under laboratory conditions, which can achieve certain carbon sequestration effects in the short term, but in practical applications, changes in environmental factors such as water temperature, light, and nutrient concentration often lead to unstable carbon sequestration efficiency. SUMMARY

[0005] To overcome the shortcomings of the prior art, the present application provides a breeding pond carbon sequestration system based on water grass-algal synergistic regulation and an optimization method, which solves the technical problem of how to dynamically adjust environmental parameters through real-time monitoring and feedback mechanisms to optimize carbon sequestration efficiency and ensure system stability under changing environmental conditions.

[0006] To achieve the above purpose, the present application realizes the following technical scheme: a breeding pond carbon sequestration system based on water grass-algal synergistic regulation, comprising:

[0007] a synergistic regulation module that intelligently adjusts the growth conditions of water grass and algae;

[0008] An environmental adaptation control module for real-time adjustment of temperature, light intensity, nutrient concentration, and pH in the water body;

[0009] A carbon sequestration optimization module for precise control of carbon source concentration in the water body, optimizing carbon sequestration efficiency;

[0010] A real-time monitoring and feedback system for continuous monitoring of carbon dioxide concentration, oxygen content, and light intensity in the water body, which feeds monitoring data to the synergistic regulation module and the environmental adaptation control module, and dynamically adjusts based on feedback data.

[0011] Preferably, the synergistic regulation module includes:

[0012] A water plant type selection unit for selecting the best water plant species for synergistic action with algae;

[0013] An algae type selection unit for selecting algae species adapted to water plant growth;

[0014] An optimization adjustment unit based on intelligent algorithm analysis of environmental parameters and growth status, which adjusts the growth ratio of water plants and algae and carbon source concentration to improve carbon sequestration efficiency.

[0015] Preferably, the environmental adaptation control module includes:

[0016] A temperature control system for adjusting water temperature;

[0017] A light control system for adjusting light conditions in the water body according to light intensity and light time to optimize photosynthesis efficiency of water plants and algae;

[0018] A nutrient adjustment system based on real-time monitoring data to adjust nutrient supply in the water body.

[0019] Preferably, the carbon sequestration optimization module includes:

[0020] A carbon source feedback adjustment unit that adjusts the growth ratio of water plants and algae by real-time monitoring of carbon dioxide concentration in the water body, which automatically adjusts nutrient supply and temperature according to carbon source concentration to achieve optimal carbon sequestration effect.

[0021] Preferably, the real-time monitoring and feedback system includes a sensor unit and a data processing unit.

[0022] A method for optimizing a carbon sequestration system in a water plant-algal cultivation pond based on synergistic regulation, comprising:

[0023] S1. Provide populations of water plants and algae, and adjust the growth conditions of water plants and algae through a synergistic regulation module to achieve their synergistic carbon sequestration effect in the water body;

[0024] S2. Set up an environmental adaptation control module to adjust the temperature, light intensity, nutrient concentration and pH value in the water in real time to ensure the optimal growth state of aquatic plants and algae;

[0025] S3. The carbon source feedback regulation unit automatically adjusts nutrient supply and temperature based on the carbon source concentration;

[0026] S4. The carbon dioxide concentration, oxygen content and light intensity in the water body are continuously monitored through a real-time monitoring and feedback system. The real-time monitoring and feedback system feeds the monitoring data back to the collaborative regulation module and the environmental adaptation control module, and dynamically adjusts the carbon sequestration process based on the feedback data.

[0027] S5. Adjust the growth ratio of aquatic plants and algae, nutrient supply and environmental conditions based on feedback data to further improve carbon sequestration efficiency.

[0028] Preferably, the carbon source feedback regulation unit establishes a carbon source concentration adjustment model in relation to temperature and nutrients:

[0029]

[0030] Where ΔN represents the nutrient concentration that needs to be adjusted, and C CO2 This represents the current concentration of carbon dioxide in the water body. The target or reference carbon dioxide concentration is T, where T is the current water temperature. ref Here is the reference temperature, and L is the current light intensity. ref The reference light intensity is represented by k1, k2, and k3, which are adjustment coefficients.

[0031] Preferably, the dynamic adjustment of the carbon fixation process specifically includes:

[0032] Adjusting nutrient supply: based on the carbon dioxide concentration error e CO2 The nutrient concentration can be adjusted using the following formula:

[0033] ΔN=k1·e CO2

[0034] Wherein, k1 is the adjustment coefficient related to the change in carbon dioxide concentration, representing the effect of the change in carbon dioxide concentration on the adjustment of nutrient concentration;

[0035] Adjust the temperature: based on the temperature error e T The water temperature is automatically adjusted by a temperature control system to ensure optimal growth of aquatic plants and algae. The water temperature adjustment formula is as follows:

[0036] ΔT=k2·e T

[0037] Where k2 is the temperature adjustment coefficient, representing the impact of temperature error on the temperature control system;

[0038] Adjust the light intensity: based on the light intensity error e L The system adjusts the light intensity through a light control system, and the light intensity adjustment formula is as follows:

[0039] ΔL=k3·e L

[0040] Where k3 is the illumination adjustment coefficient, which represents the effect of illumination intensity error on the adjustment of the illumination system.

[0041] This invention provides a carbon sequestration system and optimization method for aquaculture ponds based on the synergistic regulation of aquatic plants and algae. It has the following beneficial effects:

[0042] This carbon sequestration system and optimization method for aquaculture ponds based on the synergistic regulation of aquatic plants and algae continuously collects key environmental parameters in the water body through a real-time monitoring system and dynamically adjusts nutrient supply, temperature, and light intensity using a feedback mechanism. This dynamic adjustment capability ensures that aquatic plants and algae maintain optimal growth conditions under changing environmental conditions, thereby improving carbon sequestration efficiency. Automated regulation avoids the complexity of manual operation, enhancing the system's stability and efficiency.

[0043] The system automatically optimizes adjustment coefficients through an adaptive control algorithm, adjusting its operating strategy based on real-time data. It continuously optimizes nutrient supply, temperature, and light conditions to ensure maximum efficiency in carbon sequestration under varying environmental conditions. Through continuous feedback and optimization, it adapts to different environmental changes, achieving long-term stable carbon sequestration. Compared to a single carbon sequestration system, the aquaculture pond carbon sequestration system based on the synergistic regulation of aquatic plants and algae increases efficiency by 2-3 times, achieving an annual carbon sequestration of 2.5-3.8 kg / m³. 2 It effectively improves carbon sequestration efficiency. Through real-time spectral analysis, it automatically identifies aging areas of aquatic plants and replenishes algal biomass in a targeted manner, thereby improving the stability and carbon sequestration effect of the system. The system stability has been improved by 30%, and it has outstanding performance in emission reduction. Methane emissions have been reduced by more than 50% compared with traditional aquaculture ponds, achieving dual benefits. That is, it not only has the function of carbon sequestration, but also significantly reduces greenhouse gas emissions. Attached Figure Description

[0044] Fig. 1 This is a flowchart illustrating the process of realizing the invention;

[0045] Fig. 2 This is a schematic diagram of the structure for realizing the invention. Detailed Implementation

[0046] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0047] Example 1

[0048] like Figs. 1-2 As shown, this embodiment of the invention provides a carbon sequestration system and optimization method for aquaculture ponds based on the synergistic regulation of aquatic plants and algae, including a synergistic regulation module that intelligently adjusts the growth conditions of aquatic plants and algae to achieve their synergistic carbon sequestration effect in the water. The synergistic regulation module includes:

[0049] The aquatic plant type selection unit is used to select the aquatic plant species that best synergize with algae. Based on the output of the aquatic plant type selection unit, suitable algae species for synergistic growth with aquatic plants are selected. Chlorella was chosen as the algae that synergizes with calamus because Chlorella can efficiently absorb carbon dioxide and enhance carbon fixation capacity at a light intensity of 1500 lux and a temperature of 22℃.

[0050] The algae type selection unit is used to select algae species that are suitable for the growth of aquatic plants.

[0051] The optimization and regulation unit, based on intelligent algorithms, analyzes environmental parameters and growth status, and automatically adjusts the growth ratio of aquatic plants and algae, as well as the carbon source concentration, to improve carbon sequestration efficiency.

[0052] Algorithm model: A genetic algorithm is used to optimize the ratio of aquatic plants to algae based on real-time water data.

[0053] The environmental adaptation control module is used to adjust the temperature, light intensity, nutrient concentration, and pH value in the water in real time to ensure the optimal growth state of aquatic plants and algae, and to dynamically adjust environmental parameters according to environmental changes. The environmental adaptation control module includes:

[0054] The temperature control system regulates the water temperature to ensure that aquatic plants and algae can maintain efficient photosynthesis under different temperature conditions. The system adjusts the water temperature based on real-time monitored temperature data. If the current water temperature is 22℃ and the target temperature is 20℃, the system uses a PID control algorithm to control the heating system, lowering the water temperature by 2℃ to achieve the target temperature.

[0055] The lighting control system adjusts the lighting conditions in the water based on light intensity and duration to optimize the photosynthetic efficiency of aquatic plants and algae. The system adjusts the brightness of the light source based on real-time monitored light intensity. With an initial light intensity of 1500 lux and a target intensity of 2000 lux, the system increases the light intensity to 2000 lux by adjusting the brightness of the LED light source to meet the photosynthetic needs of the aquatic plants and algae.

[0056] The nutrient regulation system adjusts the nutrient supply in the water based on real-time monitoring data to ensure the stable growth of aquatic plants and algae under different nutrient conditions. The system dynamically adjusts the nutrient concentration based on real-time monitoring. If the nitrogen and phosphorus concentrations in the water are 15 mg / L and 10 mg / L, respectively, with target concentrations of 20 mg / L and 15 mg / L, the system will increase the supply of nitrogen and phosphorus through an automatic fertilizer dispensing device to achieve the target concentrations.

[0057] The carbon sequestration optimization module is used to adjust the growth ratio of aquatic plants and algae based on real-time monitoring data, precisely control the carbon source concentration in the water, and optimize carbon sequestration efficiency. The carbon sequestration optimization module includes:

[0058] The carbon source feedback regulation unit regulates the growth ratio of aquatic plants and algae by monitoring the carbon dioxide concentration in the water in real time. The carbon source feedback regulation unit automatically adjusts the nutrient supply and temperature according to the carbon source concentration to achieve the best carbon fixation effect.

[0059] A real-time monitoring and feedback system is used to continuously monitor the concentration of carbon dioxide, oxygen content, and light intensity in the water. This system feeds the monitoring data back to the collaborative control module and the environmental adaptation control module, enabling dynamic adjustments based on the feedback data. The real-time monitoring and feedback system includes a sensor unit and a data processing unit. This unit uses carbon dioxide sensors, oxygen sensors, light sensors, and temperature sensors to monitor key environmental parameters such as carbon dioxide concentration, oxygen content, light intensity, and temperature in the water in real time. Assuming a carbon dioxide concentration of 600 ppm, an oxygen concentration of 8 mg / L, a light intensity of 1500 lux, and a temperature of 22℃, the data processing unit calculates the error between the environmental parameters and the target values ​​based on the real-time data and generates adjustment signals through a control algorithm. Assuming the current carbon dioxide concentration is 600 ppm, the target value is 500 ppm, the temperature error is 2℃, and the light intensity error is -500 lux, the data processing unit will output a corresponding adjustment signal, instructing the collaborative control module and the environmental adaptation control module to make dynamic adjustments.

[0060] An optimization method for carbon sequestration systems in aquaculture ponds based on the synergistic regulation of aquatic plants and algae includes: S1. Providing populations of aquatic plants and algae, and adjusting the growth conditions of aquatic plants and algae through a synergistic regulation module to achieve their synergistic carbon sequestration in the water.

[0061] Regulation of growth conditions for aquatic plants and algae:

[0062] Temperature regulation: Aquatic plants and algae have different tolerance ranges for water temperature. The collaborative control module adjusts the temperature control system in real time based on the water temperature. For example, when the water temperature is too low, the system will heat the water to improve the photosynthetic efficiency of the algae. When the water temperature is too high, the system will lower the temperature to maintain the growth of the aquatic plants.

[0063] Light regulation: Light intensity has a significant impact on algal photosynthesis, and aquatic plants also require adequate light. The collaborative regulation module adjusts the light conditions in the water body through the light control system. If the light intensity is low, the system will extend the lighting time or increase the light intensity through artificial lighting to improve the photosynthetic efficiency of algae.

[0064] Nutrient regulation: The concentration of nutrients in the water (such as nitrogen, phosphorus, and potassium) directly affects the growth of aquatic plants and algae. The collaborative regulation module adjusts the nutrient supply based on real-time water data to ensure that the growth of aquatic plants and algae is in a balanced state. For example, when the concentration of nitrogen and phosphorus in the water is high, it may be necessary to reduce the amount of algae to avoid excessive algal growth.

[0065] S2. Set up an environmental adaptation control module to adjust the temperature, light intensity, nutrient concentration and pH value in the water in real time to ensure the optimal growth state of aquatic plants and algae.

[0066] S3. The carbon source feedback regulation unit automatically adjusts nutrient supply and temperature based on carbon source concentration. A model for adjusting carbon source concentration, nutrients, and temperature is established within the carbon source feedback regulation unit.

[0067]

[0068] Where ΔN represents the nutrient concentration that needs to be adjusted, and C CO2 This represents the current concentration of carbon dioxide in the water body.

[0069] The target or reference carbon dioxide concentration is T, where T is the current water temperature. ref Here is the reference temperature, and L is the current light intensity. ref Using light intensity as a reference, k1, k2, and k3 are adjustment coefficients used to quantify the effects of carbon dioxide concentration, temperature, and light intensity on nutrient adjustment.

[0070] S4. A real-time monitoring and feedback system continuously monitors the carbon dioxide concentration, oxygen content, and light intensity in the water. This system feeds the monitoring data back to the collaborative control module and the environmental adaptation control module, enabling dynamic adjustments to the carbon sequestration process based on the feedback data. Specifically, the dynamic adjustment of the carbon sequestration process includes:

[0071] Adjusting nutrient supply: based on the carbon dioxide concentration error e CO2 The nutrient concentration can be adjusted using the following formula:

[0072] ΔN=k1·e CO2

[0073] Wherein, k1 is the adjustment coefficient related to changes in carbon dioxide concentration, representing the effect of changes in carbon dioxide concentration on nutrient concentration adjustment.

[0074] Adjust the temperature: based on the temperature error e T The system automatically adjusts the water temperature to ensure optimal growth for aquatic plants and algae. The water temperature adjustment formula is as follows:

[0075] ΔT=k2·e T

[0076] Where k2 is the temperature adjustment coefficient, representing the impact of temperature error on the temperature control system.

[0077] Adjust the light intensity: based on the light intensity error e L The system adjusts the light intensity through a light control system. The light intensity adjustment formula is as follows:

[0078] ΔL=k3·e L

[0079] Where k3 is the illumination adjustment coefficient, which represents the effect of illumination intensity error on the adjustment of the illumination system.

[0080] S5. Adjust the growth ratio of aquatic plants and algae, nutrient supply and environmental conditions based on feedback data to further improve carbon sequestration efficiency.

[0081] Example 2

[0082] The following is a detailed implementation of the carbon source concentration and nutrient and temperature adjustment model in the carbon source feedback regulation unit, which explains how to dynamically adjust nutrient supply and water temperature based on carbon source concentration, temperature and light intensity.

[0083] Implementation method: Working principle of the carbon source feedback regulation unit

[0084] Step 1: Real-time data acquisition

[0085] 1. Carbon dioxide concentration monitoring:

[0086] Carbon dioxide sensors are installed in the aquaculture ponds to monitor the carbon dioxide concentration (in ppm) in the water in real time. For example, if the carbon dioxide concentration in the water is 600 ppm during a certain monitoring period, the target or reference carbon dioxide concentration is... The value is 500 ppm, at which point the carbon dioxide concentration error (e) CO2 )for:

[0087]

[0088] 2. Temperature monitoring:

[0089] A temperature sensor is used to monitor the temperature of a body of water. The current monitored water temperature is 22°C, while the target temperature (T) is... t If the temperature is 20℃, then the temperature error (e) T )for:

[0090] e T =TT t =22-20=2℃

[0091] 3. Light intensity monitoring:

[0092] A light sensor is used to monitor the light intensity in a body of water. Assuming the monitored light intensity is 1500 lux and the target light intensity is 2000 lux, the light intensity error (e...) is... L )for:

[0093] e L =LL tt =1500-2000=-500lux

[0094] Step 2: Adjust nutrient supply and water temperature based on the error value.

[0095] 4. Regulate nutrient supply:

[0096] Based on the carbon dioxide concentration error (e CO2 The nutrient concentration (ΔN) is dynamically adjusted using the following formula:

[0097] ΔN=k1·e CO2

[0098] If the adjustment coefficient k1 is 0.1, then the required nutrient concentration to be adjusted is:

[0099] ΔN = 0.1·100 = 10 mg / L

[0100] Nutrient concentrations in the water need to be increased by 10 mg / L to support the growth of aquatic plants and algae, especially when carbon dioxide concentrations are high, as this helps replenish their carbon source consumption.

[0101] 5. Regulate water temperature:

[0102] Based on temperature error (e) T The water temperature is adjusted through a temperature control system to ensure optimal growth of aquatic plants and algae. The temperature adjustment formula is:

[0103] ΔT=k2·e T

[0104] Assuming the temperature adjustment coefficient k2 is 0.5, the temperature adjustment amount is:

[0105] ΔT = 0.5·2 = 1℃

[0106] The water temperature needs to rise by 1°C to encourage algae to perform photosynthesis better and improve carbon absorption efficiency.

[0107] 6. Adjust the light intensity:

[0108] According to the light intensity error (e L The system adjusts light intensity through a light control system to optimize the photosynthetic efficiency of algae. The light adjustment formula is:

[0109] ΔL=k3·e L

[0110] Assuming the illumination adjustment coefficient k3 is 0.05, the adjustment amount for illumination intensity is:

[0111] ΔL=0.05·(-500)=-25lux

[0112] Light intensity needs to be reduced by 25 lux to minimize the negative impact of excessive light on algae and ensure optimal photosynthetic conditions.

[0113] Step 3: Feedback, Adjustment and Optimization

[0114] 7. Real-time feedback:

[0115] The adjusted water data (such as temperature, nutrient concentration, light intensity, etc.) will be monitored in real time by sensors and the data will be fed back to the data processing unit.

[0116] The data processing unit analyzes the adjustment effect and further optimizes the control signal based on the feedback results.

[0117] The system updates the adjustment coefficients (such as k1, k2, k3) based on the feedback data after each adjustment, making the adjustment process more precise.

[0118] If the water temperature still does not reach the expected range, the system will increase the temperature adjustment coefficient k2k_2k2 and recalculate the required temperature adjustment amount.

[0119] Closed-loop control and optimization:

[0120] Through a closed-loop feedback mechanism, the system continuously monitors and adjusts key environmental parameters in the water body to ensure that the carbon sequestration process is always in a highly efficient state.

[0121] The feedback data from each adjustment will be used as input for the next round of adjustments to ensure long-term stable carbon fixation effects.

[0122] Example 3

[0123] The specific implementation of the real-time monitoring and feedback system includes how to adjust nutrient supply, temperature and light intensity based on errors in carbon dioxide concentration, temperature and light intensity.

[0124] S4. Monitoring is conducted through a real-time monitoring and feedback system.

[0125] 1. Real-time monitoring system:

[0126] Carbon dioxide concentration monitoring: A carbon dioxide sensor is used to monitor the concentration of carbon dioxide in the water in real time. Assuming that the carbon dioxide concentration is 600 ppm during a certain monitoring period and the target concentration is 500 ppm, the error e... CO2 for:

[0127]

[0128] Temperature monitoring: Water temperature (unit: °C) is monitored in real time using a temperature sensor. Assuming the monitored value is 22 °C and the target temperature is 20 °C, the temperature error e is... T for:

[0129] e T =TT target =22-20=2℃

[0130] Light intensity monitoring: Light intensity in the water body is monitored using a light sensor. Assuming the current light intensity is 1500 lux and the target light intensity is 2000 lux, the light intensity error e is... L for:

[0131] e L =LL target =1500-2000=-500lux

[0132] 2. Data Feedback:

[0133] All monitoring data (including carbon dioxide concentration, temperature, and light intensity) are fed back to the data processing unit for analysis and calculation via a wireless data transmission module.

[0134] The data processing unit generates adjustment signals based on the calculated error values ​​and feeds them back to the collaborative control module and the environmental adaptation control module.

[0135] S5. Dynamically Adjust the Carbon Sequestration Process

[0136] 1. Adjust nutrient supply:

[0137] Based on the carbon dioxide concentration error e CO2 The nutrient concentration ΔN can be adjusted using the following formula:

[0138] ΔN=k1·e CO2

[0139] If the adjustment coefficient k1 is 0.1, then the adjustment amount for the nutrient concentration is:

[0140] ΔN = 0.1·100 = 10 mg / L

[0141] The nutrient concentration in the water needs to be increased by 10 mg / L to compensate for the excessive carbon dioxide concentration, thereby supporting the growth of aquatic plants and algae and further improving carbon sequestration efficiency.

[0142] 2. Adjust the temperature:

[0143] Based on temperature error e T The water temperature ΔT can be adjusted using the following formula:

[0144] ΔT=k2·e T

[0145] Assuming the temperature adjustment coefficient k2 is 0.5, the temperature adjustment amount is:

[0146] ΔT = 0.5·2 = 1℃

[0147] The water temperature needs to be raised by 1°C to encourage algae to perform photosynthesis and carbon absorption better, thereby optimizing the carbon fixation process.

[0148] 3. Adjust the light intensity:

[0149] Based on the light intensity error e L The light intensity ΔL can be adjusted using the following formula:

[0150] ΔL=k3·e L

[0151] Assuming the illumination adjustment coefficient k3 is 0.05, the adjustment amount for illumination intensity is:

[0152] ΔL=0.05·(-500)=-25lux

[0153] Light intensity needs to be reduced by 25 lux to minimize the negative impact of excessive light on algae and ensure optimal photosynthetic conditions.

[0154] 4. Adjust the growth ratio of aquatic plants and algae based on feedback data.

[0155] 5. Adjust the ratio of aquatic plants to algae:

[0156] Based on carbon dioxide concentration and other feedback data, the system adjusts the growth ratio of aquatic plants and algae through a collaborative regulation module. When the carbon dioxide concentration is too high, the proportion of algae is increased to enhance photosynthesis; when the carbon dioxide concentration is low, the proportion of aquatic plants is increased to promote carbon absorption by the roots.

[0157] Assuming that the current algae ratio is 50% and the aquatic plant ratio is 50%, if the carbon dioxide concentration is too high (e.g., with an error of 100 ppm), the system may increase the algae ratio to 60% and decrease the aquatic plant ratio to 40% to optimize carbon sequestration efficiency.

[0158] Example 3

[0159] A carbon sequestration system based on the synergistic regulation of aquatic plants and algae was implemented in a 10m x 20m aquaculture pond.

[0160] Pool design and aquatic plant layout

[0161] In a 10m × 20m aquaculture pond, six 1m wide strips of aquatic plants are installed along the long side of the pond, with 1m intervals between the strips to create open water areas. These open water areas provide space for algae growth while ensuring that the aquatic plants and algae cooperate within the same environment, thus improving carbon sequestration efficiency.

[0162] Algal biomass control and harvesting mechanisms

[0163] The system is equipped with an algae harvesting device that automatically activates when the dissolved oxygen concentration in the pond exceeds 10 mg / L, ensuring that the algae biomass in the water remains within the range of 0.5-1.2 g / L. This mechanism effectively controls algae biomass, preventing excessive algae growth that could lead to eutrophication and ensuring optimal growth conditions for aquatic plants and algae.

[0164] Aquatic plant growth status monitoring and intelligent regulation

[0165] The system uses image recognition technology to monitor the growth status of aquatic plants in the pond and determine their coverage. When the coverage is below 40%, the system automatically activates the nutrient solution dispensing device, adjusting the nutrient supply required for plant growth based on real-time monitoring data to ensure optimal growth and enhance the plants' carbon sequestration capacity.

[0166] Real-time monitoring and dynamic adjustment

[0167] The system is equipped with sensors such as carbon dioxide sensors, oxygen sensors, light sensors, and temperature sensors to monitor key environmental parameters in the water body in real time, including carbon dioxide concentration, oxygen content, light intensity, and temperature. The data processing unit calculates the error between the environmental parameters and the target values ​​based on the real-time data and outputs corresponding adjustment signals to guide the collaborative control module and the environmental adaptation control module to make dynamic adjustments.

[0168] Temperature control system and light regulation

[0169] Regarding water temperature regulation, the temperature control system automatically adjusts the heating or cooling system based on real-time temperature data using a PID control algorithm, ensuring that the water temperature remains within the optimal range for the growth of aquatic plants and algae. As for lighting conditions, the lighting control system adjusts the brightness of the light source based on real-time lighting data, ensuring that aquatic plants and algae perform photosynthesis under optimal light intensity, maximizing their carbon sequestration effect.

[0170] Nutrient regulation and carbon source feedback regulation

[0171] The nutrient regulation system adjusts the nutrient supply through an automated fertilizer dispensing device based on real-time concentration data of nutrients such as nitrogen and phosphorus in the water to ensure the stable growth of aquatic plants and algae. Simultaneously, the carbon source feedback regulation unit adjusts the growth ratio of aquatic plants and algae according to the carbon dioxide concentration in the water, ensuring that the carbon source concentration in the water is always at an optimal level.

[0172] System optimization and feedback adjustment

[0173] By acquiring environmental data through a real-time monitoring and feedback system, the collaborative regulation module and the environmental adaptation control module automatically adjust nutrient supply, temperature, and light conditions based on the feedback information. The system optimizes the growth ratio of aquatic plants and algae based on carbon dioxide concentration, temperature error, and light intensity error, and dynamically adjusts environmental parameters according to the adjustment coefficients calculated by the model to achieve the best carbon sequestration effect.

[0174] Implementation results:

[0175] Through the above system design and optimization methods, this embodiment successfully achieved synergistic carbon fixation by aquatic plants and algae in a 10m×20m aquaculture pond. Real-time monitoring and feedback mechanisms ensured the system's stability and efficiency under different environmental conditions, significantly improving carbon fixation efficiency while maintaining the aquatic ecological balance. By optimizing the automatic addition of algal biomass and aquatic plant nutrient solution, this system effectively prevented excessive aquatic plant growth, ensuring optimal carbon fixation, reducing the complexity of manual operation, and improving the system's automation level.

[0176] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A carbon sequestration system for aquaculture ponds based on the synergistic regulation of aquatic plants and algae, characterized in that, include: The collaborative regulation module intelligently adjusts the growth conditions of aquatic plants and algae. The environmental adaptation control module is used to adjust the temperature, light intensity, nutrient concentration and pH value in the water in real time. The carbon absorption and storage optimization module precisely controls the concentration of carbon sources in water. A real-time monitoring and feedback system is used to continuously monitor the concentration of carbon dioxide, oxygen content and light intensity in the water body. The real-time monitoring and feedback system feeds back the monitoring data to the collaborative regulation module and the environmental adaptation control module.

2. The aquaculture pond carbon sequestration system based on synergistic regulation of aquatic plants and algae as described in claim 1, characterized in that: The coordinated control module includes: The aquatic plant type selection unit is used to select aquatic plant varieties that have the best synergistic effect with algae. The algae type selection unit is used to select algae species that are suitable for the growth of aquatic plants; An optimization and adjustment unit, based on intelligent algorithms, analyzes environmental parameters and growth status, and adjusts the growth ratio of aquatic plants and algae, as well as the carbon source concentration.

3. The aquaculture pond carbon sequestration system based on synergistic regulation of aquatic plants and algae as described in claim 1, characterized in that: The environmental adaptation control module includes: Temperature control system, used to regulate water temperature; The light control system adjusts the light conditions in the water body according to the light intensity and duration. The nutrient regulation system adjusts the supply of nutrients in the water body based on real-time monitoring data.

4. The aquaculture pond carbon sequestration system based on synergistic regulation of aquatic plants and algae as described in claim 1, characterized in that: The carbon absorption and storage optimization module includes: The carbon source feedback regulation unit regulates the growth ratio of aquatic plants and algae by monitoring the carbon dioxide concentration in the water in real time. The carbon source feedback regulation unit automatically adjusts the nutrient supply and temperature according to the carbon source concentration.

5. The aquaculture pond carbon sequestration system based on synergistic regulation of aquatic plants and algae according to claim 1, characterized in that: The real-time monitoring and feedback system includes a sensor unit and a data processing unit.

6. An optimization method for carbon sequestration systems in aquaculture ponds based on the synergistic regulation of aquatic plants and algae, characterized in that, include: S1. Provides populations of aquatic plants and algae, and regulates their growth conditions through a collaborative control module; S2. Set up an environmental adaptation control module to adjust the temperature, light intensity, nutrient concentration and pH value in the water in real time; S3. The carbon source feedback regulation unit automatically adjusts nutrient supply and temperature based on the carbon source concentration; S4. The carbon dioxide concentration, oxygen content and light intensity in the water body are continuously monitored through a real-time monitoring and feedback system. The real-time monitoring and feedback system feeds the monitoring data back to the collaborative regulation module and the environmental adaptation control module, and dynamically adjusts the carbon sequestration process based on the feedback data. S5. Adjust the growth ratio of aquatic plants and algae, nutrient supply, and environmental conditions based on feedback data.

7. The method for optimizing aquaculture pond carbon sequestration system based on synergistic regulation of aquatic plants and algae according to claim 6, characterized in that: The carbon source feedback regulation unit establishes a model for adjusting carbon source concentration in relation to nutrients and temperature. Where ΔN represents the nutrient concentration that needs to be adjusted, and C CO2 This represents the current concentration of carbon dioxide in the water body. The target or reference carbon dioxide concentration is T, where T is the current water temperature. ref Here is the reference temperature, and L is the current light intensity. ref The reference light intensity is represented by k1, k2, and k3, which are adjustment coefficients.

8. The method for optimizing aquaculture pond carbon sequestration system based on synergistic regulation of aquatic plants and algae according to claim 6, characterized in that: The dynamic adjustment of the carbon fixation process specifically includes: Adjusting nutrient supply: based on the carbon dioxide concentration error e CO2 The nutrient concentration can be adjusted using the following formula: ΔN=k1·e CO2 Where k1 is the adjustment coefficient related to the change in carbon dioxide concentration; Adjust the temperature: based on the temperature error e T The water temperature is automatically adjusted by a temperature control system, and the water temperature adjustment formula is as follows: ΔT=k2·e T Where k2 is the temperature regulation coefficient; Adjust the light intensity: based on the light intensity error e L The formula for adjusting the light intensity is as follows: ΔL=k3·e L Where k3 is the illumination adjustment coefficient.

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