Method for Assisting the Blue Carbon Ecological Restoration of Offshore Wind Farms and Ocean Ranches Based on Quantum Frequency Regulation

Abstract

The present invention relates to the field of marine ecological engineering technology, and specifically relates to a method for blue carbon ecological restoration of an offshore wind farm assisted by quantum frequency regulation, including the following steps: S1: generating a quantum resonance field matching the opening and closing cycle of the ion channels of the microbial cell membrane; S2: performing directional migration of free protons in seawater through the quantum resonance field; S3: regulating the conformational transformation efficiency of the intracellular ATP synthase of photosynthetic microorganisms; S4: generating a dynamic mapping atlas of carbon sequestration flux; S5: adjusting the generation frequency of microscale vortices in seawater through the quantum resonance field; S6: when detecting microbial metabolic saturation, switching to a carbon deposition enhancement mode. In the present invention, by means of quantum frequency regulation, the processes of proton migration, microbial carbon sequestration and carbonate deposition are linked, and a blue carbon ecological restoration closed-loop system that can operate in coordination with an offshore wind power platform is constructed, realizing precise regulation of the entire process of carbon fixation and deposition.

Description

Technical Field

[0001] The present invention relates to the technical field of marine ecological engineering, and particularly to a method for blue carbon ecological restoration of an offshore wind farm-assisted marine ranch based on quantum frequency regulation. Background Art

[0002] With the large-scale development of offshore wind power, the wind power infrastructure has gradually developed a deep coupling relationship with the marine ecosystem; in the prior art, there is a lack of a blue carbon ecological restoration means that can integrate the characteristics of the wind power platform and has the ability to regulate the spatial field, and it is impossible to achieve dynamic regulation of the whole process from photosynthetic carbon fixation to carbon deposition conversion; especially in key links such as proton pump activation, micro-scale hydrodynamic regulation, and carbon deposition crystal formation, the existing methods mostly rely on natural processes, with slow response speed and poor controllability, and it is difficult to adapt to the high-frequency changing output of the wind power platform and the complex and changeable marine environment. Therefore, there is an urgent need for a method for blue carbon ecological restoration of an offshore wind farm-assisted marine ranch based on quantum frequency regulation to solve the above problems. Summary of the Invention

[0003] Based on the above purpose, the present invention provides a method for blue carbon ecological restoration of an offshore wind farm-assisted marine ranch based on quantum frequency regulation.

[0004] The method for blue carbon ecological restoration of an offshore wind farm-assisted marine ranch based on quantum frequency regulation includes the following steps:

[0005] S1: Embed a quantum resonance field generator in a preset depth range of the offshore wind power pile foundation, and generate a quantum resonance field that matches the opening and closing cycle of the ion channels of the microbial cell membrane according to the metabolic resonance frequency of photosynthetic microorganisms in the target sea area;

[0006] S2: Directionally migrate free protons in seawater through the quantum resonance field, reduce the proton concentration gradient between the surface layer and the deep layer of seawater, and output an equalized proton distribution parameter;

[0007] S3: Based on the equalized proton distribution parameter, regulate the conformational transformation efficiency of the intracellular ATP synthase of photosynthetic microorganisms, activate the transmembrane proton pump function of the microorganisms, and output the microbial proton pump activity index;

[0008] S4: According to the proton pump activity index, calculate the carbon fixation metabolic flux of photosynthetic microorganisms in real time, and generate a dynamic mapping map of the carbon fixation flux;

[0009] S5: Couple the dynamic mapping map of the carbon fixation flux with the hydrodynamic model around the wind power pile foundation, and adjust the generation frequency of micro-scale vortices in seawater through the quantum resonance field, so that dissolved inorganic carbon is directionally transported to the microbial enrichment area;

[0010] S6: Utilize the fluctuating electric energy output by the wind power system to drive the quantum resonance field generator to switch resonance modes. When it is detected that the microbial metabolism is saturated, switch to the carbon deposition enhancement mode, and accelerate the lattice growth of the carbonate skeleton through the quantum coherence effect.

[0011] Optionally, the S1 specifically includes:

[0012] S11: During the construction stage of the offshore wind power pile foundation, determine, according to the marine environment survey data, that the depth of the active water layer where photosynthetic microorganisms are mainly distributed in the target sea area is 5 meters to 30 meters, select this range as the preset depth interval, reserve an installation cavity with a diameter of 30 cm and a length of 50 cm in the pile foundation structure corresponding to this depth interval, and connect the cavity to the electric control interface at the upper part of the wind power pile foundation through a shielded cable;

[0013] S12: Install the quantum resonance field generator in the installation cavity, connect it to the inner wall of the pile foundation by screwing with a stainless steel fixing frame, and set an elastic damping layer to prevent vibration interference;

[0014] S13: Collect seawater samples within the preset depth interval, measure that the opening and closing frequency range of potassium ions and proton channels in the cell membrane of the target photosynthetic microorganisms is 50 Hz to 300 Hz, and use it as the target metabolic resonance frequency interval;

[0015] S14: Input the target metabolic resonance frequency interval into the control module of the quantum resonance field generator, call its built-in frequency modulation circuit, and perform frequency mapping and amplitude adjustment on the resonance signal according to the input frequency range;

[0016] S15: Drive the internal quantum material medium of the generator to be coupled and excited with the spiral resonance coil through the frequency modulation control circuit, and output a quantum resonance field with a frequency between 50 Hz and 300 Hz and consistent with the ion channel period of the microbial cell membrane, covering the seawater volume area within a radius of 5 meters around the installation cavity.

[0017] Optionally, the S2 specifically includes:

[0018] S21: Use the pH sensor group arranged at different depths of the seawater to collect the seawater proton concentration data in real time, calculate the proton concentration difference between the surface 0 - 5 meters depth and the deep 20 - 30 meters depth, and input it into the quantum resonance field control platform;

[0019] S22: The quantum resonance field control platform is built with a proton concentration gradient evaluation model, which is used to calculate the resonance field intensity required for proton migration according to the input proton concentration difference;

[0020] S23: Based on the calculated resonant field intensity, the quantum resonant field control platform generates a vertically gradient quantum resonant field within the preset depth range of the wind power pile foundation by adjusting the current input amplitude of the resonant coil in the quantum resonant field generator, enabling the directional migration of free protons in seawater from high-concentration regions to low-concentration regions;

[0021] S24: After the proton migration effect has continued for 1 hour, the proton concentrations on the seawater surface and at depth are measured again in real time by the pH sensor group, and the reduction amplitude of the concentration difference is calculated. When the proton concentration difference is lower than 10% of the initial concentration difference, it is determined that the proton concentration gradient has reached an equilibrium state.

[0022] Optionally, S22 specifically includes:

[0023] S221: Let the proton concentration difference calculated in S21 be , and according to the distance between the target depth layers and the diffusion coefficient of protons under seawater environmental conditions, calculate the diffusion flux J of protons in the natural state. The formula is: , where D is the diffusion coefficient of protons in the seawater environment; L is the vertical distance between the target depth layers;

[0024] S222: According to the charge characteristics of protons, introduce the influence coefficient of the quantum resonant field on the directional migration of protons, and calculate the resonant field intensity B required for proton migration. Its expression is: , where Y is the influence coefficient of the quantum resonant field on the directional migration of protons; k is the resonant migration sensitive factor of protons.

[0025] Optionally, S3 specifically includes:

[0026] S31: Obtain the equalized proton distribution parameters output by S2, and measure the extracellular proton concentration and intracellular proton concentration of photosynthetic microorganisms in the target sea area in real time, and calculate the transmembrane proton motive potential using the Nernst equation;

[0027] S32: Calculate the conformational change efficiency of the ATP synthase according to the transmembrane proton motive potential ;

[0028] S33: Based on the calculated conformational change efficiency of the ATP synthase, adjust the output resonant field frequency and intensity of the quantum resonant field generator to stabilize the operating frequency of the microbial transmembrane proton pump within the range of 200 Hz to 250 Hz, and monitor the change rate v of the extracellular proton concentration in real time;

[0029] S34: By the extracellular proton concentration change rate v and the conformational transition efficiency Calculate the microbial proton pump activity index. The specific calculation formula is: , where P is the microbial proton pump activity index; v is the extracellular proton concentration change rate; is the theoretical maximum value of the extracellular proton concentration change rate.

[0030] Optionally, the S4 specifically includes:

[0031] S41: Receive the proton pump activity index from S3 in real time, and at the same time use a real-time online optical probe to monitor the chlorophyll fluorescence intensity of photosynthetic microorganisms to form real-time input data;

[0032] S42: Input the proton pump activity index and the chlorophyll fluorescence intensity data measured in real time into the carbon fixation metabolic flux calculation model, and calculate the real-time carbon fixation rate of photosynthetic microorganisms per unit volume through this model to obtain the value of the carbon fixation rate;

[0033] S43: Based on the seawater multi-layer sampling points deployed around the wind power pile foundation, collect the real-time carbon fixation rate values of different depth layers respectively, and associate them with the spatial position coordinates to generate the real-time carbon fixation rate spatial distribution data at different depth positions;

[0034] S44: Use a spatial interpolation algorithm to process the real-time carbon fixation rate spatial distribution data to form a spatial grid carbon fixation flux data matrix centered on the wind power pile foundation;

[0035] S45: Use data visualization technology to convert the spatial grid carbon fixation flux data matrix into a carbon fixation flux dynamic mapping atlas.

[0036] Optionally, the S42 specifically includes:

[0037] S421: Obtain the proton pump activity index output by S3 in real time, and synchronously collect the chlorophyll fluorescence intensity of photosynthetic microorganisms as input data;

[0038] S422: Use the carbon fixation metabolic flux calculation model to calculate the photosynthetic electron transfer rate ETR of photosynthetic microorganisms per unit volume according to the proton pump activity index and the chlorophyll fluorescence intensity. The formula is: , where; is the electron transfer efficiency coefficient, with a value of 0.84; F is the chlorophyll fluorescence intensity monitored in real time;

[0039] S423: Calculate the real-time carbon fixation rate of photosynthetic microorganisms per unit volume based on the electron transfer rate ETR , the formula is: , where, It is the quantum efficiency of the conversion of photosynthetic electrons to carbon fixation, with a value of 0.25 mol C / mole.

[0040] Optionally, the S44 specifically includes:

[0041] S441: Based on the real-time carbon fixation rate data of the sampling points around the wind power pile foundation, determine a circular area with a radius of 100 meters centered on the pile foundation as the target interpolation area, and divide this area into square grids with a side length of 5 meters;

[0042] S442: Input the real-time carbon fixation rate data of the sampling points and the corresponding spatial position coordinates into the spatial interpolation algorithm model, and use the inverse distance weighted interpolation algorithm to calculate the real-time carbon fixation rate within the grid. The specific interpolation calculation formula is: , where is the interpolation result of the real-time carbon fixation rate at the position (x, y) of the grid node to be calculated; is the spatial distance between the grid node to be calculated and the i-th sampling point; n is the total number of adjacent sampling points participating in the interpolation calculation;

[0043] S443: Calculate the real-time carbon fixation rate of all grid nodes within the interpolation area one by one to form a real-time carbon fixation flux data matrix containing the interpolation results of all grid nodes.

[0044] Optionally, the S5 specifically includes:

[0045] S51: Obtain the carbon fixation flux dynamic mapping atlas data matrix output by S4, and connect it to the hydrodynamic model around the wind power pile foundation to obtain the real-time velocity field distribution data of the seawater flow field around the wind power pile foundation;

[0046] S52: Couple the carbon fixation flux dynamic mapping atlas data matrix with the real-time velocity field distribution data, determine the target area coordinates according to the carbon fixation rate value in the microbial enrichment area, and calculate the velocity gradient value between the target area and the surrounding water body;

[0047] S53: Determine the optimal generation frequency of the microscale vortex according to the real-time proton pump activity index obtained in S3, and use this frequency range as the regulation target of the quantum resonance field control platform;

[0048] S54: The quantum resonance field control platform adjusts the resonance field output frequency of the quantum resonance field generator according to the velocity gradient value of the water body in the target area to form a local disturbance flow field around the target area and induce the generation of microscale vortices in the corresponding frequency range;

[0049] S55: Monitor the change rate of the concentration of dissolved inorganic carbon in the seawater around the target area in real time, and finely adjust the frequency of the quantum resonance field according to the feedback data to ensure the stable and directional transport of dissolved inorganic carbon along the flow path of the formed microscale vortex towards the photosynthetic microorganism enrichment area.

[0050] Optionally, the S6 specifically includes:

[0051] S61: Monitor the carbon fixation rate in the microorganism enrichment area in real time. When the change amplitude of the carbon fixation rate over a continuous monitoring time exceeding 30 minutes is lower than the preset threshold of 0.01 μmolC / (m³·s), it is determined that the microbial metabolic state reaches the saturation condition;

[0052] S62: After the quantum resonance field control platform receives the microbial metabolic saturation signal, it sends an instruction to the quantum resonance field generator to switch the output frequency of the quantum resonance field to the carbon deposition enhancement mode, and its resonance frequency range is 2.5 - 5.0 Hz;

[0053] S63: In the carbon deposition enhancement mode, the quantum resonance field generator outputs a quantum resonance field with a frequency of 2.5 - 5.0 Hz and an intensity of 120 - 150 μT through the resonance coil, so that calcium ions and carbonate ions dissolved in the seawater rapidly form calcium carbonate crystal nuclei in the microorganism enrichment area under the action of the quantum coherence effect.

[0054] Advantages of the present invention:

[0055] In the present invention, by embedding a quantum resonance field generator, a full - process control path covering "proton migration - microorganism activation - carbon fixation flux calculation - micro - vortex regulation - carbon deposition enhancement" is established; this method realizes the directional migration of free protons in seawater, breaks the proton concentration barrier between the surface layer and the deep layer, and then precisely regulates the ATP synthesis path and proton pump activity of photosynthetic microorganisms, effectively improving the photosynthetic carbon fixation efficiency; combined with the spatial interpolation algorithm and velocity field perception, the real - time coupling of the carbon fixation flux and the water flow dynamic model is achieved, and a three - dimensional dynamic carbon fixation mapping diagram is constructed, enhancing the supply - demand coordination ability between the carbon source and the carbon sink.

[0056] In the present invention, through the resonance field mode switching, the quantum coherence effect is introduced to regulate the generation and lattice ordered growth process of carbonate crystal nuclei, solving the problem that the traditional carbon deposition process depends on natural driving and has a low crystallization efficiency; through the tunable quantum frequency control means, the continuous conversion of carbon from biological fixation to mineral deposition is realized. Description of the Drawings

[0057] To more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only those of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0058] Figure 1 Schematic diagram of the method for offshore wind power assisted blue carbon ecological restoration of marine ranch in the embodiment of the present invention;

[0059] Figure 2 Schematic diagram of the method for generating a dynamic mapping atlas of carbon sequestration flux in the embodiment of the present invention. Detailed implementation manners

[0060] The present invention will be described in detail below in combination with the drawings and specific embodiments. At the same time, it should be noted here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments. For some well-known technologies, those skilled in the art can also adopt other alternative methods for implementation; moreover, the drawings are only for more specifically describing the embodiments and are not intended to specifically limit the present invention.

[0061] As Figure 1 - Figure 2 shown, the method for offshore wind power assisted blue carbon ecological restoration of marine ranch based on quantum frequency regulation includes the following steps:

[0062] S1: Embed a quantum resonance field generator within a preset depth range of the offshore wind power pile foundation, and generate a quantum resonance field that matches the opening and closing cycle of the ion channels in the microbial cell membrane according to the metabolic resonance frequency of photosynthetic microorganisms in the target sea area;

[0063] S2: Direct the directional migration of free protons in seawater through the quantum resonance field, reduce the proton concentration gradient between the surface layer and the deep layer of seawater, and output the parameter of balanced proton distribution;

[0064] S3: Based on the parameter of balanced proton distribution, regulate the conformational transition efficiency of the ATP synthase in the photosynthetic microorganism cells, activate the transmembrane proton pump function of the microorganism, and output the microbial proton pump activity index;

[0065] S4: According to the proton pump activity index, calculate in real time the carbon sequestration metabolic flux of photosynthetic microorganisms, and generate a dynamic mapping atlas of carbon sequestration flux;

[0066] S5: Couple the dynamic mapping atlas of carbon sequestration flux with the hydrodynamic model around the wind power pile foundation, and adjust the generation frequency of microscale vortices in seawater through the quantum resonance field to direct the transport of dissolved inorganic carbon to the microbial enrichment area;

[0067] S6: Utilize the fluctuating electric energy output by the wind power system to drive the quantum resonance field generator to switch the resonance mode. When it is detected that the microbial metabolism is saturated, switch to the carbon deposition enhancement mode, and accelerate the lattice growth of the carbonate skeleton through the quantum coherence effect.

[0068] S1 specifically includes:

[0069] S11: During the construction stage of the offshore wind power pile foundation, determine that the depth of the active water layer where photosynthetic microorganisms are mainly distributed in the target sea area is 5 meters to 30 meters according to the marine environment survey data. Select this range as the preset depth interval, reserve an installation cavity with a diameter of 30 cm and a length of 50 cm in the pile foundation structure corresponding to this depth interval, and connect the cavity to the electric control interface at the upper part of the wind power pile foundation through a shielded cable.

[0070] S12: Install the quantum resonance field generator in the installation cavity, and connect it to the inner wall of the pile foundation by screwing through a stainless steel fixing frame, and set an elastic damping layer to prevent vibration interference.

[0071] S13: Collect seawater samples in the preset depth interval, and measure that the opening and closing frequency range of potassium ions and proton channels in the cell membrane of the target photosynthetic microorganisms is 50 Hz to 300 Hz, and use it as the target metabolic resonance frequency interval.

[0072] S14: Input the target metabolic resonance frequency interval into the control module of the quantum resonance field generator, call its built-in frequency modulation circuit, perform frequency mapping and amplitude adjustment on the resonance signal according to the input frequency range, and determine the resonance electromagnetic signal parameters with an output frequency accuracy of ±1 Hz and an amplitude of 10 μT to 100 μT.

[0073] S15: Drive the internal quantum material medium of the generator to be coupled and excited with the spiral resonance coil through the frequency modulation control circuit, and output a quantum resonance field with a frequency between 50 Hz and 300 Hz, which is consistent with the ion channel period of the microbial cell membrane, covering the seawater volume area within a radius of 5 meters around the installation cavity.

[0074] S2 specifically includes:

[0075] S21: Use the pH sensor group arranged at different depths of the seawater to collect the seawater proton concentration data in real time, calculate the proton concentration difference between the surface layer of 0 - 5 meters depth and the deep layer of 20 - 30 meters depth, and input it into the quantum resonance field control platform.

[0076] S22: The quantum resonance field control platform has a built-in proton concentration gradient evaluation model, which is used to calculate the resonance field intensity required for proton migration according to the input proton concentration difference.

[0077] S23: Based on the calculated resonant field strength, the quantum resonant field control platform generates a vertically gradient quantum resonant field within a preset depth range of the wind power pile foundation by adjusting the current input amplitude of the resonant coil in the quantum resonant field generator, so as to achieve the directional migration of free protons in seawater from the high-concentration area to the low-concentration area;

[0078] S24: After the proton migration effect lasts for 1 hour, the proton concentrations on the surface layer and deep layer of seawater are measured again in real time through the pH sensor group, and the reduction amplitude of the concentration difference is calculated. When the proton concentration difference is lower than 10% of the initial concentration difference, it is judged that the proton concentration gradient reaches the equilibrium state; when reaching the equilibrium state, the average value of the final proton concentrations on the surface layer and deep layer is used as the equilibrium proton distribution parameter and output to the subsequent steps for use; through the above steps, the directional migration of protons and the precise regulation of the concentration gradient are realized, providing reliable basic data support for the stable regulation of subsequent microbial metabolism.

[0079] S22 specifically includes:

[0080] S221: Let the proton concentration difference calculated in S21 be , and according to the distance between the target depth layers and the diffusion coefficient D of protons under seawater environmental conditions (with a value of 9.3×10⁻ 9 m² / s), calculate the diffusion flux J of protons in the natural state. The formula is: , where D is the diffusion coefficient of protons in the seawater environment; L is the vertical distance between the target depth layers;

[0081] S222: According to the charge characteristics of protons, introduce the influence coefficient (with a value range of 1.2 - 1.8) of the quantum resonant field on the directional migration of protons, and calculate the resonant field strength B required for proton migration. Its expression is: , where Y is the influence coefficient of the quantum resonant field on the directional migration of protons; k is the resonant migration sensitive factor of protons, with a value of ; through the above steps, the quantitative solution of the resonant field strength required for proton migration is realized, enabling the quantum regulation means to achieve precise control in the actual marine environment and improving the operation reliability and data repeatability of the entire blue carbon ecological restoration process.

[0082] S3 specifically includes:

[0083] S31: Obtain the equilibrium proton distribution parameter output by S2, and measure the extracellular proton concentration and intracellular proton concentration of photosynthetic microorganisms in the target sea area in real time, and calculate the transmembrane proton motive potential using the Nernst equation. The formula is: , where is the transmembrane proton motive potential; R is the ideal gas constant, with a value of ; T is the environmental temperature, with a value of 298K; F is the Faraday constant, with a value of 96485 C / mol;

[0084] S32: Calculate the conformational transition efficiency of ATP synthase according to the transmembrane proton motive potential The calculation formula is: , where In the formula, is the conformational transition efficiency of ATP synthase; is the proton motive potential threshold corresponding to 50% conformational transition efficiency of ATP synthase, with a value of 160 mV; is the sensitivity coefficient of ATP synthase conformational transition, with a value of 15 mV;

[0085] S33: Based on the calculated conformational transition efficiency of ATP synthase, adjust the output resonant field frequency and intensity of the quantum resonant field generator to stabilize the working frequency of the microbial transmembrane proton pump within the range of 200 Hz to 250 Hz, and monitor the change rate v of the extracellular proton concentration in real time;

[0086] S34: Calculate the microbial proton pump activity index through the change rate v of the extracellular proton concentration and the conformational transition efficiency . The specific calculation formula is: , where P is the microbial proton pump activity index; v is the change rate of the extracellular proton concentration; is the theoretical maximum value of the change rate of the extracellular proton concentration, with a value of ; Output the calculated proton pump activity index P to the subsequent steps in real time for use; The above steps realize the precise quantification of the transmembrane proton motive potential and the conformational transition of ATP synthase through a clear calculation path, ensuring the reliability and operability of the evaluation of microbial activity indicators.

[0087] S4 specifically includes:

[0088] S41: Receive the proton pump activity index from S3 in real time, and at the same time use a real-time online optical probe to monitor the chlorophyll fluorescence intensity of photosynthetic microorganisms to form real-time input data;

[0089] S42: Input the proton pump activity index and the chlorophyll fluorescence intensity data measured in real time into the carbon fixation metabolic flux calculation model, and calculate the real-time carbon fixation rate of photosynthetic microorganisms per unit volume through this model to obtain the value of the carbon fixation rate;

[0090] S43: Based on the seawater multi-layer sampling points deployed around the wind power pile foundation, collect the real-time carbon fixation rate values of different depth layers respectively, associate them with the spatial position coordinates, and generate the spatial distribution data of the real-time carbon fixation rate at different depth positions;

[0091] S44: Process the spatial distribution data of the real-time carbon fixation rate using a spatial interpolation algorithm to form a spatial grid carbon fixation flux data matrix centered on the wind power pile foundation;

[0092] S45: Use data visualization technology to convert the spatial grid carbon fixation flux data matrix into a dynamic mapping atlas of carbon fixation flux and output it to the subsequent steps in real time; Through the above real-time data collection and spatial mapping methods, the spatial distribution accuracy of the carbon fixation metabolic flux and the visual presentation of real-time dynamic changes are ensured, improving the real-time performance and reliability of the data in the ecological restoration process.

[0093] S42 specifically includes:

[0094] S421: Obtain the proton pump activity index output by S3 in real time, and synchronously collect the chlorophyll fluorescence intensity of photosynthetic microorganisms as input data;

[0095] S422: Using the carbon fixation metabolic flux calculation model, calculate the photosynthetic electron transfer rate ETR of photosynthetic microorganisms per unit volume according to the proton pump activity index and chlorophyll fluorescence intensity. The formula is: , where; is the electron transfer efficiency coefficient, with a value of 0.84; F is the chlorophyll fluorescence intensity monitored in real time;

[0096] S423: Calculate the real-time carbon fixation rate of photosynthetic microorganisms per unit volume based on the electron transfer rate ETR , the formula is: , where, is the quantum efficiency of the conversion of photosynthetic electrons to carbon fixation, with a value of 0.25 molC / mole; Through the above steps, the quantitative coupling of the proton pump activity index and chlorophyll fluorescence data is realized, ensuring the accuracy and operability of the real-time carbon fixation rate calculation results.

[0097] S44 specifically includes:

[0098] S441: Based on the real-time carbon fixation rate data of the sampling points around the wind power pile foundation, determine a circular area with a radius of 100 meters centered on the pile foundation as the target interpolation area, and divide this area into square grids with a side length of 5 meters;

[0099] S442: Input the real-time carbon fixation rate data of the sampling points and the corresponding spatial position coordinates into the spatial interpolation algorithm model, and use the inverse distance weighted interpolation algorithm to calculate the real-time carbon fixation rate within the grid. The specific interpolation calculation formula is: , where is the interpolation result of the real-time carbon sequestration rate at the position (x, y) of the grid node to be calculated; is the spatial distance between the grid node to be calculated and the i-th sampling point; n is the total number of adjacent sampling points participating in the interpolation calculation;

[0100] S443: Calculate the real-time carbon sequestration rate of all grid nodes in the interpolation area one by one, and form a real-time carbon sequestration flux data matrix containing the interpolation results of all grid nodes; the above steps realize the high-precision gridification of the spatial distribution of the carbon sequestration rate through explicit interpolation techniques, ensuring the accuracy and continuity of the real-time carbon sequestration flux data.

[0101] S5 specifically includes:

[0102] S51: Obtain the carbon sequestration flux dynamic mapping atlas data matrix output by S4, and connect it to the hydrodynamic model around the wind turbine pile foundation to obtain the real-time velocity field distribution data of the seawater flow field around the wind turbine pile foundation;

[0103] Step S51 specifically includes the following steps:

[0104] S511: Within a range of 100 meters in radius centered on the wind turbine pile foundation, set a three-dimensional space coordinate system with the pile foundation as the origin, and lay out an array of acoustic Doppler current profilers (ADCPs) along the water depth direction in the space coordinate system, with a vertical interval of 5 meters between each ADCP;

[0105] S512: Each ADCP measures the horizontal velocity components (u in the east-west direction, v in the north-south direction) and the vertical velocity component (w in the up-down direction) of the seawater at its respective depth layer in real time. The measurement frequency of each velocity component is 1 time per second, and the measurement data is transmitted to the data processing platform in real time;

[0106] S513: The data processing platform synchronously receives the real-time velocity data measured by all ADCPs, and forms the corresponding relationship between the spatial coordinates and the real-time velocity data according to the three-dimensional spatial coordinates of the measurement points;

[0107] S514: Based on the spatial interpolation method, perform real-time interpolation calculation on the ADCP measurement data to obtain the three-dimensional velocity component data at any spatial position in the target area around the wind turbine pile foundation, and form a real-time updated three-dimensional velocity field distribution data matrix, which is output for use in step S52; through the above steps, the spatial distribution data of the seawater velocity field can be obtained in real time and accurately, providing a reliable data basis for subsequent coupled processing with the carbon sequestration flux data.

[0108] S52: Couple the carbon sequestration flux dynamic mapping atlas data matrix with the real-time velocity field distribution data, determine the target area coordinates based on the carbon sequestration rate value in the microbial enrichment area, and calculate the velocity gradient value between the target area and the surrounding water body; the specific formula is: , where G is the velocity gradient between the target area and the surrounding water body; u, v, and w are the velocity components of the water flow velocity field in the spatial coordinate directions of x, y, and z respectively; x, y, and z are the spatial coordinate axes;

[0109] S53: Determine the optimal generation frequency of microscale vortices based on the real-time proton pump activity index obtained in S3, with the range from 0.1 Hz to 1.0 Hz, and use this frequency range as the regulation target of the quantum resonance field control platform; the calculation formula is: , where is the optimal generation frequency of microscale vortices; is the basic vortex generation frequency;

[0110] S54: The quantum resonance field control platform adjusts the resonance field output frequency of the quantum resonance field generator according to the velocity gradient value of the water body in the target area, so as to form a local disturbance flow field around the target area and induce the generation of microscale vortices in the corresponding frequency range; let the resonance field frequency be f, and the calculation formula is: , where f is the output frequency of the quantum resonance field; is the optimal vortex generation frequency determined in S53; is the velocity gradient adjustment coefficient, with a value of 0.05 s;

[0111] S55: Real-time monitor the change rate of the concentration of dissolved inorganic carbon in the seawater around the target area, and fine-tune the quantum resonance field frequency according to the feedback data to ensure that the dissolved inorganic carbon is stably and directionally transported along the flow path of the formed microscale vortices to the photosynthetic microorganism enrichment area; the specific fine-tuning calculation formula is: , where: is the resonance field frequency after fine-tuning; is the concentration change feedback coefficient, with a value of 0.02; dC / dt is the real-time monitored change rate of the inorganic carbon concentration; through the above steps, the accuracy of the quantum resonance field in regulating the generation frequency of seawater vortices is ensured, and thus the directional transport of dissolved inorganic carbon to the photosynthetic microorganism enrichment area is effectively achieved.

[0112] S6 specifically includes:

[0113] S61: Real-time monitor the carbon sequestration rate in the microbial enrichment area. When the change amplitude of the carbon sequestration rate continuously monitored for more than 30 minutes is lower than the preset threshold of 0.01 μmolC / (m³·s), it is determined that the microbial metabolic state reaches the saturation condition;

[0114] S62: After the quantum resonance field control platform receives the microbial metabolism saturation signal, it sends an instruction to the quantum resonance field generator to switch the output frequency of the quantum resonance field to the carbon deposition enhancement mode, and its resonance frequency range is 2.5 - 5.0 Hz;

[0115] S63: In the carbon deposition enhancement mode, the quantum resonance field generator outputs a quantum resonance field with a frequency of 2.5 - 5.0 Hz and an intensity of 120 - 150 μT through the resonance coil, so that calcium ions (Ca²⁺) and carbonate ions (CO3²⁻) dissolved in seawater rapidly form calcium carbonate crystal nuclei in the microbial enrichment area under the action of the quantum coherence effect; under the continuous action of the quantum resonance field, the surface free energy of the calcium carbonate crystal nuclei is regulated through the quantum coherence effect, the potential energy barrier for crystal growth is reduced, and the lattice arrangement rate is increased to more than twice the natural state; through the above steps, a smooth transition from microbial metabolism carbon fixation to mineralization deposition carbon fixation mode is achieved, ensuring precise control and efficiency improvement of the carbon deposition process.

[0116] The present invention covers any substitutions, modifications, equivalent methods, and solutions made to the essence and scope of the present invention. For the public to have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, and those skilled in the art can fully understand the present invention without the description of these details. Additionally, well-known methods, processes, procedures, components, and circuits, etc. are not described in detail to avoid unnecessary confusion to the essence of the present invention.

[0117] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for assisting the blue carbon ecological restoration of offshore wind farms and marine ranches based on quantum frequency regulation, characterized in that, It includes the following steps: S1: Embed a quantum resonance field generator within a preset depth range of an offshore wind power pile foundation, and generate a quantum resonance field that matches the opening and closing cycle of the ion channels in the microbial cell membrane according to the metabolic resonance frequency of photosynthetic microorganisms in the target sea area; S2: Direct the migration of free protons in seawater through the quantum resonance field, reduce the proton concentration gradient between the surface layer and the deep layer of seawater, and output an equalized proton distribution parameter; S3: Based on the equalized proton distribution parameter, regulate the conformational transformation efficiency of ATP synthase in photosynthetic microorganisms, activate the transmembrane proton pump function of the microorganisms, and output the microbial proton pump activity index; S4: According to the proton pump activity index, calculate the carbon fixation metabolic flux of photosynthetic microorganisms in real time, and generate a dynamic mapping map of the carbon fixation flux; S5: Couple the dynamic mapping map of the carbon fixation flux with the hydrodynamic model around the wind power pile foundation, and adjust the generation frequency of microscale vortices in seawater through the quantum resonance field to direct the transport of dissolved inorganic carbon to the microbial enrichment area; S6: Use the fluctuating electric energy output by the wind power system to drive the quantum resonance field generator to switch the resonance mode. When it is detected that the microbial metabolism is saturated, switch to the carbon deposition enhancement mode, and accelerate the lattice growth of the carbonate skeleton through the quantum coherence effect.

2. The method for assisting the blue carbon ecological restoration of an offshore wind farm and a marine ranch based on quantum frequency regulation according to claim 1, wherein, The specific content of S1 includes: S11: During the construction stage of the offshore wind power pile foundation, determine that the depth of the active water layer where photosynthetic microorganisms are mainly distributed in the target sea area is 5 meters to 30 meters according to the marine environment survey data. Select this range as the preset depth range, reserve an installation cavity with a diameter of 30 cm and a length of 50 cm in the pile foundation structure corresponding to this depth range, and connect the cavity to the electric control interface at the upper part of the wind power pile foundation through a shielded cable; S12: Install a quantum resonance field generator in the installation cavity, and connect it to the inner wall of the pile foundation by screwing through a stainless steel fixing frame, and set an elastic damping layer to prevent vibration interference; S13: Collect seawater samples within the preset depth range, and measure that the opening and closing frequencies of potassium ions and proton channels in the cell membrane of the target photosynthetic microorganisms range from 50 Hz to 300 Hz, and use it as the target metabolic resonance frequency range; S14: Input the target metabolic resonance frequency range into the control module of the quantum resonance field generator, call its built-in frequency modulation circuit, and perform frequency mapping and amplitude adjustment on the resonance signal according to the input frequency range; S15: Drive the coupling excitation of the quantum material medium and the spiral resonance coil inside the generator through the frequency modulation control circuit, and output a quantum resonance field with a frequency between 50 Hz and 300 Hz and consistent with the period of the microbial cell membrane ion channel, covering the seawater volume area within a radius of 5 meters around the installation cavity.

3. The method for auxiliary blue carbon ecological restoration of an offshore wind farm based on quantum frequency regulation according to claim 1, wherein, The specific content of S2 includes: S21: Use a pH sensor group arranged at different depth layers of seawater to collect seawater proton concentration data in real time, calculate the proton concentration difference between the surface layer of 0 - 5 meters depth and the deep layer of 20 - 30 meters depth, and input it into the quantum resonance field control platform; S22: The quantum resonance field control platform is built with a proton concentration gradient evaluation model, which is used to calculate the resonance field intensity required for proton migration according to the input proton concentration difference; S23: Based on the calculated intensity of the quantum harmonic field, the quantum harmonic field control platform generates a vertically gradient quantum harmonic field within the preset depth range of the wind power pile foundation by adjusting the current input amplitude of the harmonic coil in the quantum harmonic field generator, so as to achieve the directional migration of free protons in seawater from the high-concentration area to the low-concentration area; S24: After the proton migration effect lasts for 1 hour, the proton concentrations on the sea surface and in the deep layer are measured again in real time through the pH sensor group, and the reduction amplitude of the concentration difference is calculated. When the proton concentration difference is lower than 10% of the initial concentration difference, it is determined that the proton concentration gradient reaches the equilibrium state.

4. The method for assisting the blue carbon ecological restoration of an offshore wind farm in a marine ranch based on quantum frequency regulation according to claim 3, wherein The specific content of S22 includes: S221: Set the proton concentration difference calculated in S21 as , and calculate the diffusion flux J of protons in the natural state according to the distance between the target depth layers and the diffusion coefficient of protons under seawater environmental conditions. The formula is: , where D is the diffusion coefficient of protons in the seawater environment; L is the vertical distance between the target depth layers; S222: Introduce the influence coefficient of the quantum harmonic field on the directional migration of protons according to the charge characteristics of protons , and calculate the intensity B of the harmonic field required for proton migration. Its expression is: , where Y is the influence coefficient of the quantum harmonic field on the directional migration of protons; k is the harmonic migration sensitivity factor of protons.

5. The method for auxiliary blue carbon ecological restoration of offshore wind farms based on quantum frequency regulation according to claim 1, wherein, The specific content of S3 includes: S31: Obtain the equalized proton distribution parameters output by S2, and measure the extracellular proton concentration and intracellular proton concentration of photosynthetic microorganisms in the target sea area in real time, and calculate the transmembrane proton motive potential using the Nernst equation; and intracellular proton concentration , calculate the transmembrane proton motive potential using the Nernst equation ; S32: Calculate the conformational transition efficiency of ATP synthase based on the transmembrane proton motive potential energy ;​ S33: According to the calculated conformational transition efficiency of ATP synthase , adjust the output resonance field frequency and intensity of the quantum resonance field generator to stabilize the working frequency of the microbial transmembrane proton pump within the range of 200 Hz to 250 Hz, and monitor the change rate v of the extracellular proton concentration in real time; S34: Calculate the microbial proton pump activity index based on the change rate v of extracellular proton concentration and the conformational transition efficiency The specific calculation formula is as follows: , where P is the microbial proton pump activity index; v is the change rate of extracellular proton concentration; is the theoretical maximum value of the change rate of extracellular proton concentration.

6. The method for assisting the blue carbon ecological restoration of an offshore wind farm in a marine ranch based on quantum frequency regulation according to claim 1, wherein The specific content of S4 includes: S41: Receive the proton pump activity index from S3 in real time, and at the same time use a real-time online optical probe to monitor the chlorophyll fluorescence intensity of photosynthetic microorganisms to form real-time input data; S42: Input the proton pump activity index and the chlorophyll fluorescence intensity data measured in real time into the carbon fixation metabolic flux calculation model, and calculate the real-time carbon fixation rate of photosynthetic microorganisms per unit volume through this model to obtain the value of the carbon fixation rate; S43: Based on the seawater multi-layer sampling points deployed around the wind power pile foundation, collect the real-time carbon fixation rate values of different depth layers respectively, and correlate them with the spatial position coordinates to generate the real-time carbon fixation rate spatial distribution data at different depth positions; S44: Use the spatial interpolation algorithm to process the real-time carbon fixation rate spatial distribution data to form a spatial grid carbon fixation flux data matrix centered on the wind power pile foundation; S45: Use data visualization technology to convert the spatial grid carbon fixation flux data matrix into a carbon fixation flux dynamic mapping map.

7. The method for assisting the blue carbon ecological restoration of an offshore wind farm and a marine ranch based on quantum frequency regulation according to claim 6, wherein The specific content of S42 includes: S421: Obtain the proton pump activity index output by S3 in real time, and synchronously collect the chlorophyll fluorescence intensity of photosynthetic microorganisms as input data; S422: Using the carbon fixation metabolic flux calculation model, calculate the photosynthetic electron transport rate ETR of photosynthetic microorganisms per unit volume according to the proton pump activity index and chlorophyll fluorescence intensity. The formula is: , where; is the electron transfer efficiency coefficient, with a value of 0.84; F is the chlorophyll fluorescence intensity monitored in real time; S423: Calculate the real-time carbon fixation rate of photosynthetic microorganisms per unit volume based on the electron transfer rate ETR , the formula is: , where is the quantum efficiency of the conversion of photosynthetic electrons to carbon fixation, with a value of 0.25 mol C / mole.

8. The method for assisting the blue carbon ecological restoration of an offshore wind farm and a marine ranch based on quantum frequency regulation according to claim 7, wherein, The specific content of S44 includes: S441: Based on the real-time carbon fixation rate data of the sampling points around the wind power pile foundation, determine a circular area with a radius of 100 meters centered on the pile foundation as the target interpolation area, and divide this area into square grids with a side length of 5 meters; S442: Input the real-time carbon sequestration rate data of sampling points and the corresponding spatial position coordinates into the spatial interpolation algorithm model, and use the inverse distance weighted interpolation algorithm to calculate the real-time carbon sequestration rate within the grid. The specific interpolation calculation formula is: , where is the interpolation result of the real-time carbon sequestration rate at the position (x, y) of the grid node to be calculated; is the spatial distance between the grid node to be calculated and the i-th sampling point; n is the total number of adjacent sampling points participating in the interpolation calculation. S443: Calculate the real-time carbon fixation rate of all grid nodes in the interpolation area one by one to form a real-time carbon fixation flux data matrix containing the interpolation results of all grid nodes.

9. The method for auxiliary blue carbon ecological restoration of offshore wind farms based on quantum frequency regulation according to claim 1, wherein The specific content of S5 includes: S51: Obtain the carbon fixation flux dynamic mapping map data matrix output by S4, and connect it to the hydrodynamic model around the wind power pile foundation to obtain the real-time velocity field distribution data of the seawater flow field around the wind power pile foundation; S52: Couple the carbon fixation flux dynamic mapping map data matrix with the real-time velocity field distribution data, determine the target area coordinates according to the carbon fixation rate value of the microbial enrichment area, and calculate the velocity gradient value between the target area and the surrounding water body; S53: According to the real-time proton pump activity index obtained by S3, determine the optimal generation frequency of microscale vortices, and use this frequency range as the regulation target of the quantum harmonic field control platform; S54: The quantum resonance field control platform adjusts the resonance field output frequency of the quantum resonance field generator according to the numerical value of the flow velocity gradient of the water body in the target area, so as to form a local disturbance flow field around the target area and induce the generation of micro-scale vortices in the corresponding frequency range; S55: Real-time monitor the change rate of the concentration of dissolved inorganic carbon in the seawater around the target area, and finely adjust the quantum resonance field frequency according to the feedback data to ensure the stable and directional transport of dissolved inorganic carbon along the flow path of the formed micro-scale vortices to the photosynthetic microorganism enrichment area.

10. The method for assisting the blue carbon ecological restoration of an offshore wind farm in a marine ranch based on quantum frequency regulation according to claim 1, wherein The specific content of the said S6 includes: S61: Real-time monitor the carbon fixation rate in the microorganism enrichment area. When the change amplitude of the carbon fixation rate continuously monitored for more than 30 minutes is lower than the preset threshold of 0.01 μmolC / (m³·s), it is determined that the microbial metabolic state reaches the saturation condition; S62: After receiving the microbial metabolism saturation signal, the quantum resonance field control platform sends an instruction to the quantum resonance field generator to switch the output frequency of the quantum resonance field to the carbon deposition enhancement mode, and its resonance frequency range is 2.5 - 5.0 Hz; S63: In the carbon deposition enhancement mode, the quantum resonance field generator outputs a quantum resonance field with a frequency of 2.5 - 5.0 Hz and an intensity of 120 - 150 μT through the resonance coil, so that calcium ions and carbonate ions dissolved in seawater rapidly form calcium carbonate crystal nuclei in the microorganism enrichment area under the action of the quantum coherence effect.

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