Offshore wind power assisted marine ranching blue carbon ecological restoration method based on quantum frequency adjustment

Abstract

The invention relates to the technical field of marine ecological engineering, in particular to an offshore wind power assisted marine ranching blue carbon ecological restoration method based on quantum frequency regulation, which comprises the following steps: S1, generating a quantum resonance field matched with the opening and closing period of a microbial cell membrane ion channel; s2, carrying out directional migration on free protons in seawater through a quantum resonance field; s3, regulating and controlling the conformation transformation efficiency of ATP synthetase in the photosynthetic microorganism cells; s4, generating a carbon sequestration flux dynamic mapping map; s5, adjusting the generation frequency of the seawater micro-scale vortex through the quantum resonance field; and S6, when it is detected that microbial metabolism is saturated, switching to a carbon deposition strengthening mode. According to the method, proton migration, microbial carbon sequestration and carbonate deposition processes are linked through a quantum frequency adjustment means, a blue carbon ecological restoration closed-loop system capable of cooperatively operating with an offshore wind power platform is constructed, and accurate regulation and control of the whole carbon sequestration and deposition process are achieved.

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 formed a deep coupling relationship with the marine ecosystem; in the prior art, there is a lack of a blue carbon ecological restoration method 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 the dynamic regulation of the whole process from photosynthetic carbon fixation to carbon deposition transformation; especially in the 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: 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; 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 the equalized proton distribution parameters; S3: Based on the equalized proton distribution parameters, regulate the conformational transformation 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; S4: According to the proton pump activity index, calculate the carbon fixation metabolic flux of the photosynthetic microorganism 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 the micro-scale vortices in seawater through the quantum resonance field, so that the dissolved inorganic carbon is transported directionally 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.

[0005] Optionally, S1 specifically 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 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; S12: Install a 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; S13: Collect seawater samples within the preset depth interval, measure the opening and closing frequency range of potassium ion and proton channels in the cell membrane of the target photosynthetic microorganisms to be 50 Hz to 300 Hz, and use it as the target metabolic resonance frequency interval; 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; 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 ion channel period of the microbial cell membrane, covering the seawater volume area within a radius of 5 meters around the installation cavity.

[0006] Optionally, S2 specifically includes: S21: Use a pH sensor group deployed at different depths 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 strength required for proton migration according to the input proton concentration difference; S23: The quantum resonance field control platform generates a quantum resonance field with a vertical direction gradient within the preset depth interval of the wind power pile foundation by adjusting the current input amplitude of the resonance coil in the quantum resonance field generator, so as to realize the directional migration of seawater free protons from the high concentration area to the low concentration area; S24: After the proton migration effect lasts for 1 hour, measure the proton concentration of the seawater surface layer and the deep layer again through the pH sensor group, calculate the reduction amplitude of the concentration difference. 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.

[0007] Optionally, S22 specifically includes: S221: Set the proton concentration difference calculated in S21 as , and calculate the proton diffusion flux J 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: According to the charge characteristics of protons, introduce the influence coefficient of the quantum harmonic field on the directional migration of protons, and calculate the harmonic field strength B 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.

[0008] Optionally, the specific steps of S3 are as follows: 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; S32: Calculate the conformational transition efficiency of the ATP synthase according to the transmembrane proton motive potential ; S33: According to the calculated conformational transition efficiency of the 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 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.

[0009] Optionally, the specific steps of S4 are as follows: S41: Receive the proton pump activity index from S3 in real time, and at the same time monitor the chlorophyll fluorescence intensity of photosynthetic microorganisms using a real-time online optical probe 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, associate them with the spatial position coordinates, and generate the spatial distribution data of the real-time carbon fixation rate at different depth positions; S44: Use the spatial interpolation algorithm to process the spatial distribution data of the real-time carbon fixation rate, and 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 dynamic mapping atlas of carbon fixation flux.

[0010] Optionally, the specific steps of S42 include: 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: 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 chlorophyll fluorescence intensity. The formula is: , where; is the electron transfer efficiency coefficient, with a value of 0.84; F is the real-time monitored chlorophyll fluorescence intensity; 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.

[0011] Optionally, the specific steps of S44 include: 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 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; S443: Calculate the real-time carbon fixation rate of all grid nodes within the interpolation area one by one, and form a real-time carbon fixation flux data matrix containing the interpolation results of all grid nodes.

[0012] Optionally, S5 specifically includes: S51: Obtain the data matrix of the dynamic mapping atlas of carbon sequestration flux 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 data matrix of the dynamic mapping atlas of carbon sequestration flux with the real-time velocity field distribution data, determine the target area coordinates according to 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; S53: Determine the optimal generation frequency of microscale vortices according to the real-time proton pump activity index obtained by S3, and use this frequency range as the regulation target of the quantum resonance 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 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; 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 transported in a directional manner along the flow path of the formed microscale vortices to the photosynthetic microorganism enrichment area.

[0013] Optionally, S6 specifically includes: 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; 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 quickly form calcium carbonate crystal nuclei in the microbial enrichment area under the action of the quantum coherence effect.

[0014] Advantages of the present invention: In the present invention, by embedding a quantum resonance field generator, a full-process control path covering "proton migration - microbial 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 sensing, the real-time coupling of the carbon fixation flux and the water flow dynamic model is realized, and a three-dimensional dynamic carbon fixation mapping atlas is constructed, enhancing the supply-demand coordination ability between the carbon source and the carbon sink.

[0015] 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 problems of the traditional carbon deposition process relying on natural drive and low crystallization efficiency; through the tunable quantum frequency control means, the continuous conversion of carbon from biological fixation to mineral deposition is realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order 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.

[0017] Figure 1 Schematic diagram of the offshore wind power-assisted marine ranch blue carbon ecological restoration method for the embodiments of the present invention; Figure 2 Schematic diagram of the method for generating a dynamic mapping atlas of carbon fixation flux for the embodiments of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The present invention will be described in detail below with reference to 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; and the drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0019] As Figure 1 - Figure 2 shown, the offshore wind power-assisted marine ranch blue carbon ecological restoration method based on quantum frequency regulation includes the following steps: 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 of the microbial cell membrane according to the metabolic resonance frequency of photosynthetic microorganisms in the target sea area; S2: Orient the migration of free protons in seawater through a quantum harmonic field, reduce the proton concentration gradient between the surface and deep layers of seawater, and output the parameter of balanced proton distribution; S3: Based on the parameter of balanced proton distribution, regulate the conformational transition 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 in real time the carbon fixation metabolic flux of photosynthetic microorganisms and generate a dynamic mapping map of carbon fixation flux; S5: Couple the dynamic mapping map of carbon fixation flux with the hydrodynamic model around the wind power pile foundation, and adjust the generation frequency of seawater microscale vortices through a quantum harmonic field to direct the transport of dissolved inorganic carbon to the microbial enrichment area; S6: Utilize the fluctuating electric energy output by the wind power system to drive the quantum harmonic 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.

[0020] S1 specifically includes: 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; S12: Install a quantum harmonic field generator in the installation cavity, connect it to the inner wall of the pile foundation by screwing through a stainless steel fixing bracket, and set an elastic damping layer to prevent vibration interference; S13: Collect seawater samples in the preset depth interval, measure that the opening and closing frequency range of potassium ion 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; S14: Input the target metabolic resonance frequency interval into the control module of the quantum harmonic 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; 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 harmonic 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.

[0021] S2 specifically includes: S21: Use the pH sensor group deployed at different depths of seawater to collect real-time data on the proton concentration in seawater, calculate the difference in proton concentration between the surface layer at a depth of 0 - 5 meters and the deep layer at a depth of 20 - 30 meters, and input it into the quantum resonance field control platform; S22: The quantum resonance field control platform is built-in with a proton concentration gradient evaluation model, which is used to calculate the resonance field strength required for proton migration based on the input proton concentration difference; S23: The quantum resonance field control platform, according to the calculated resonance field strength, generates a quantum resonance field with a vertical direction gradient within the preset depth range of the wind power pile foundation by adjusting the current input amplitude of the resonance coil in the quantum resonance field generator, so as to realize the directional migration of free protons in seawater from the high-concentration area to the low-concentration area; S24: After the proton migration effect continues for 1 hour, use the pH sensor group to measure the proton concentration on the seawater surface and in the deep layer again in real time, calculate the reduction amplitude of the concentration difference. 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 the equilibrium state is reached, use the average value of the final proton concentrations on the surface layer and in the deep layer as the equilibrium proton distribution parameter and output it for use in the subsequent steps; 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.

[0022] S22 specifically includes: S221: Let the proton concentration difference calculated in S21 be , according to the distance between the target depth layers and the diffusion coefficient D of protons under seawater environmental conditions (the value is 9.3×10⁻ 9 m² / s), calculate the diffusion flux J of protons in the natural state, and 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: According to the charge characteristics of protons, introduce the influence coefficient (the value range is 1.2 - 1.8) of the quantum resonance field on the directional migration of protons, and calculate the resonance field strength B required for proton migration. Its expression is: , where Y is the influence coefficient of the quantum resonance field on the directional migration of protons; k is the resonance migration sensitive factor of protons, and the value is ; Through the above steps, the quantitative solution of the resonance 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.

[0023] S3 specifically includes: S31: Obtain the equalized proton distribution parameters output by S2, and measure the extracellular proton concentration of photosynthetic microorganisms in the target sea area in real time and the intracellular proton concentration , and calculate the transmembrane proton motive potential using the Nernst equation . The formula is: . In the formula, 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; S32: Calculate the conformational transition efficiency of the ATP synthase according to the transmembrane proton motive potential , and the calculation formula is: . In the formula, is the conformational transition efficiency of the ATP synthase; is the proton motive potential threshold corresponding to 50% of the conformational transition efficiency of the ATP synthase, with a value of 160 mV; is the sensitivity coefficient of the conformational transition of the ATP synthase, with a value of 15 mV; S33: Based on the calculated conformational transition efficiency of the 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 through the change rate v of the extracellular proton concentration and the conformational transition efficiency . The specific calculation formula is: . In the formula, 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 for use in real time; Through the above clear calculation path, the accurate quantification of the transmembrane proton motive potential and the conformational transition of the ATP synthase is realized, ensuring the reliability and operability of the evaluation of microbial activity indicators.

[0024] S4 specifically includes: S41: Receive the proton pump activity index from S3 in real time, and at the same time monitor the chlorophyll fluorescence intensity of photosynthetic microorganisms using a real-time online optical probe 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 multi-layer seawater 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; S44: Process the spatial distribution data of the real-time carbon fixation rate by using a spatial interpolation algorithm 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 dynamic mapping atlas of carbon fixation flux and output it to the subsequent steps in real time; Through the real-time data collection and spatial mapping methods of the above steps, the spatial distribution accuracy of the carbon fixation metabolic flux and the visual presentation of real-time dynamic changes are ensured, and the real-time performance and reliability of the data in the ecological restoration process are improved.

[0025] S42 specifically 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: 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 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 , and 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 calculation results of the real-time carbon fixation rate.

[0026] S44 specifically 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 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; 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 achieve high-precision gridding of the spatial distribution of carbon sequestration rate through explicit interpolation techniques, ensuring the accuracy and continuity of real-time carbon sequestration flux data.

[0027] S5 specifically includes: 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; Step S51 specifically includes the following steps: 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 deploy an array of acoustic Doppler current profilers (ADCP) along the water depth direction in the space coordinate system, with a vertical interval of 5 meters between each ADCP; 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; S513: The data processing platform synchronously receives the real-time velocity data measured by all ADCPs, and forms the corresponding relationship between the space coordinates and the real-time velocity data according to the three-dimensional space coordinates of the measurement points; 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 coupling processing with carbon sequestration flux data.

[0028] S52: Couple the carbon sequestration flux dynamic mapping atlas data matrix with the real-time velocity field distribution data, determine the target area coordinates according to 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, w are the velocity components of the water flow velocity field in the x, y, z directions of the space coordinates respectively; x, y, z are the space coordinate axes respectively; S53: Determine the optimal generation frequency of microscale vortices, ranging from 0.1 Hz to 1.0 Hz, based on 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; the calculation formula is: , where is the optimal generation frequency of microscale vortices; is the basic vortex generation frequency; 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 microscale vortices in the corresponding frequency range; let the resonance field frequency be f, and the calculation formula is: , where f is the resonance field output frequency; is the optimal vortex generation frequency determined in S53; is the flow velocity gradient adjustment coefficient, and the numerical value is taken as 0.05 s; 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 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, and the value is taken as 0.02; dC / dt is the change rate of the inorganic carbon concentration monitored in real time; through the above steps, the accuracy of the quantum resonance field in regulating the generation frequency of seawater vortices is ensured, and then the directional transport of dissolved inorganic carbon to the photosynthetic microorganism enrichment area is effectively realized.

[0029] S6 specifically includes: S61: Real-time monitor the carbon fixation rate in the microorganism enrichment area. When the change amplitude of the carbon fixation rate during continuous monitoring 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 metabolic 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 (Ca²⁺) dissolved in seawater react with carbonate ions (CO 3²⁻) rapidly forms calcium carbonate crystal nuclei in the microbial enrichment area under the action of quantum coherence effects; under the continuous action of the quantum harmonic field, the surface free energy of the calcium carbonate crystal nuclei is regulated through quantum coherence effects, reducing the potential barrier energy for crystal growth and increasing the lattice arrangement rate to more than twice that of the natural state; through the above steps, a smooth transition from microbial metabolic carbon fixation to mineralization deposition carbon fixation mode is achieved, ensuring precise control and efficiency improvement of the carbon deposition process.

[0030] This invention covers any substitutions, modifications, equivalent methods, and schemes made to the essence and scope of this invention. To enable the public to have a thorough understanding of this invention, specific details are elaborated in the following preferred embodiments of this invention. However, those skilled in the art can fully understand this invention even 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 this invention.

[0031] The above description is only a preferred embodiment of this invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of this invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of this invention.

Claims

1. An offshore wind power-assisted marine ranch blue carbon ecological restoration method based on quantum frequency regulation, characterized in that: The following steps are involved: S1: A quantum resonance field generator is embedded in the preset depth range of the offshore wind power pile foundation to generate a quantum resonance field that matches the opening and closing cycle of the microbial cell membrane ion channel according to the metabolic resonance frequency of photosynthetic microorganisms in the target sea area; S2: Direct the migration of free protons in seawater through quantum resonance field, reduce the proton concentration gradient between the surface and deep layers of seawater, and output balanced proton distribution parameters; S3: Based on the balanced proton distribution parameters, the conformational transition efficiency of ATP synthase in photosynthetic microorganisms is regulated, the transmembrane proton pump function of microorganisms is activated, and the microbial proton pump activity index is output; S4: According to the proton pump activity index, the carbon fixation metabolic flux of photosynthetic microorganisms is calculated in real time to generate a dynamic mapping map of carbon fixation flux; S5: The dynamic mapping of carbon fixation flux is coupled with the hydrodynamic model around the wind turbine pile foundation, and the frequency of seawater micro-scale vortex generation is adjusted through the quantum resonance field, so that the dissolved inorganic carbon is transported to the microbial enrichment area in a directional manner; 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 the microbial metabolism is detected to be saturated, switch to the carbon deposition enhancement mode to accelerate the lattice growth of the carbonate skeleton through the quantum coherence effect.

2. The offshore wind power-assisted marine ranch blue carbon ecological restoration method based on quantum frequency regulation according to claim 1 is characterized in that: The S1 specifically includes: S11: During the construction of offshore wind turbine pile foundations, the depth of the active water layer where photosynthetic microorganisms are mainly distributed in the target sea area is determined to be 5 meters to 30 meters based on the marine environmental survey data. This range is selected as the preset depth interval, and an installation cavity with a diameter of 30 cm and a length of 50 cm is reserved in the pile foundation structure corresponding to this depth interval, and the cavity is connected to the electrical control interface on the upper part of the wind turbine pile foundation through a shielded cable; S12: embed the quantum resonance field generator in the installation cavity, screw it to the inner wall of the pile foundation through a stainless steel fixing frame, and set an elastic damping layer to prevent vibration interference; S13: collecting seawater samples within a preset depth range, measuring the opening and closing frequency range of potassium ion and proton channels in the cell membrane of the target photosynthetic microorganism to be 50 Hz to 300 Hz, and using 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: The frequency modulation control circuit drives the quantum material medium inside the generator to couple with the spiral resonant coil for excitation, and the output frequency is between 50Hz and 300Hz, which is consistent with the period of the ion channel of the microbial cell membrane, and covers the seawater volume area within a radius of 5 meters around the installation cavity.

3. The offshore wind power-assisted marine ranch blue carbon ecological restoration method based on quantum frequency regulation according to claim 1 is characterized in that: The S2 specifically includes: S21: Use the pH sensor group arranged at different depths of seawater to collect seawater proton concentration data in real time, calculate the proton concentration difference between the surface layer 0-5 meters deep and the deep layer 20-30 meters deep, and input it into the quantum resonance field control platform; S22: The quantum resonance field control platform has a built-in proton concentration gradient evaluation model, which is used to calculate the resonance field strength required for proton migration based on the input proton concentration difference; S23: The quantum resonance field control platform generates a quantum resonance field with a vertical gradient within the preset depth range of the wind turbine pile foundation by adjusting the current input amplitude of the resonance coil in the quantum resonance field generator based on the calculated resonance field strength, thereby achieving directional migration of free protons in seawater from high-concentration areas to low-concentration areas; S24: After the proton migration continues for 1 hour, the proton concentrations of the surface and deep layers of the seawater are measured again in real time through the pH sensor group, and the reduction in 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.

4. The offshore wind power-assisted marine ranch blue carbon ecological restoration method based on quantum frequency regulation according to claim 3 is characterized in that: The S22 specifically includes: S221: Assume that the proton concentration difference calculated in S21 is , according to the distance between the target depth layers and the diffusion coefficient of protons under seawater environmental conditions, the proton diffusion flux J under natural conditions is calculated as follows: , where D is the diffusion coefficient of protons in seawater environment; L is the vertical distance between target depth layers; S222: Based on the charge characteristics of protons, the influence coefficient of the quantum resonance field on the directional migration of protons is introduced , calculate the resonant field strength B required for proton migration, and its expression is: , where Y is the influence coefficient of the quantum resonance field on the directional migration of protons; k is the proton resonance migration sensitivity factor.

5. The offshore wind power-assisted marine ranch blue carbon ecological restoration method based on quantum frequency regulation according to claim 1 is characterized in that: The S3 specifically includes: S31: Obtain the balanced proton distribution parameters output by S2 and measure the extracellular proton concentration of photosynthetic microorganisms in the target sea area in real time and intracellular proton concentration , using the Nernst equation to calculate the transmembrane proton motive force potential ; S32: Based on the transmembrane proton motive force potential Calculating the conformational transition efficiency of ATP synthase ; S33: Calculated ATP synthase conformational transition efficiency , 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 in the range of 200 Hz to 250 Hz, and monitor the change rate v of the extracellular proton concentration in real time; S34: The rate of change of extracellular proton concentration v and conformational transition efficiency Calculate the microbial proton pump activity index, the specific calculation formula is: , where P is the activity index of the microbial proton pump; v is the rate of change of the extracellular proton concentration; is the theoretical maximum value of the rate of change of extracellular proton concentration.

6. The offshore wind power-assisted marine ranch blue carbon ecological restoration method based on quantum frequency regulation according to claim 1 is characterized in that: The S4 specifically includes: S41: receiving the proton pump activity index from S3 in real time, and simultaneously monitoring the chlorophyll fluorescence intensity of photosynthetic microorganisms using a real-time online optical probe to form real-time input data; S42: inputting the proton pump activity index and the real-time measured chlorophyll fluorescence intensity data into a carbon fixation metabolic flux calculation model, and calculating the real-time carbon fixation rate of photosynthetic microorganisms per unit volume through the model to obtain a numerical value of the carbon fixation rate; S43: Based on the multi-layer seawater sampling points deployed around the wind turbine pile foundation, the real-time carbon fixation rate values ​​of different depth layers are collected respectively, and associated with the spatial position coordinates to generate the real-time carbon fixation rate spatial distribution data at different depth positions; S44: Using a spatial interpolation algorithm to process the real-time carbon fixation rate spatial distribution data, forming a spatial grid carbon fixation flux data matrix centered on the wind power pile foundation; S45: Use data visualization technology to transform the spatial gridded carbon fixation flux data matrix into a dynamic carbon fixation flux mapping map.

7. The offshore wind power-assisted marine ranch blue carbon ecological restoration method based on quantum frequency regulation according to claim 6 is characterized in that: The S42 specifically includes: S421: real-time acquisition of the proton pump activity index output by S3, and synchronous collection of the chlorophyll fluorescence intensity of photosynthetic microorganisms as input data; S422: Using the carbon fixation metabolic flux calculation model, the photosynthetic electron transfer rate (ETR) of photosynthetic microorganisms per unit volume is calculated based on the proton pump activity index and chlorophyll fluorescence intensity. The formula is: , where; is the electron transfer efficiency coefficient, which is 0.84; F is the real-time monitored chlorophyll fluorescence intensity; S423: Calculation of 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 into carbon fixation, and its value is 0.25 molC / mole.

8. The offshore wind power-assisted marine ranch blue carbon ecological restoration method based on quantum frequency regulation according to claim 7 is characterized in that: The S44 specifically includes: S441: Based on the real-time carbon fixation rate data of the sampling points around the wind turbine pile foundation, a circular area with a radius of 100 meters centered on the pile foundation is determined as the target interpolation area, and the area is divided into square grids with a side length of 5 meters; S442: The real-time carbon fixation rate data of the sampling points and the corresponding spatial position coordinates are input into the spatial interpolation algorithm model, and the real-time carbon fixation rate in the grid is calculated using the inverse distance weighted interpolation algorithm. The specific interpolation calculation formula is: , where is the real-time carbon fixation rate interpolation result at the grid node position (x, y) 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 involved 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 offshore wind power-assisted marine ranch blue carbon ecological restoration method based on quantum frequency regulation according to claim 1 is characterized in that: The S5 specifically includes: S51: Obtain the carbon fixation flux dynamic mapping atlas data matrix output by S4, and connect it to the water flow dynamics 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; S52: coupling the carbon fixation flux dynamic mapping atlas data matrix with the real-time velocity field distribution data, determining the target area coordinates according to the carbon fixation rate values ​​of the microbial enrichment area, and calculating the velocity gradient values ​​between the target area and the surrounding water body; S53: According to the real-time proton pump activity index obtained in S3, the optimal generation frequency of the micro-scale vortex is determined, and the frequency range is used as the control target of the quantum resonance 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 flow 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 micro-scale vortices in the corresponding frequency range; S55: Monitor the concentration change rate of dissolved inorganic carbon in the seawater around the target area in real time, and fine-tune the frequency of the quantum resonance field based on the feedback data to ensure that the dissolved inorganic carbon is stably and directional transported to the photosynthetic microorganism enrichment area along the formed microscale vortex flow path.

10. The offshore wind power-assisted marine ranch blue carbon ecological restoration method based on quantum frequency regulation according to claim 1 is characterized in that: The S6 specifically includes: S61: Real-time monitoring of the carbon fixation rate in the microbial enrichment area. When the carbon fixation rate change amplitude for continuous monitoring time exceeding 30 minutes is lower than the preset threshold value of 0.01 μmolC / (m³·s), it is judged that the microbial metabolic state has reached the saturation condition; S62: After receiving the microbial metabolic saturation signal, the quantum resonance field control platform sends a command to the quantum resonance field generator to switch the output frequency of the quantum resonance field to the carbon deposition enhancement mode, and the resonance frequency range is 2.5 to 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 to 5.0 Hz and an intensity of 120 to 150 μT through the resonance coil, so that the calcium ions and carbonate ions dissolved in the seawater quickly form calcium carbonate crystal nuclei in the microbial enrichment area under the action of quantum coherence effect.

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