Water treatment method based on resonant frequency conditioning

Abstract

The invention provides a water treatment method based on resonant frequency conditioning, and relates to the technical field of water treatment.The water treatment method comprises the steps that treatment of drinking water, drinks and the like is achieved through multi-stage resonance regulation and control treatment and the synergistic effect of light, the half-width change is monitored in real time, adjustment parameters are fed back, and the particle size of water molecule clusters is changed; the stability is prolonged to 72 hours or more, a gradient frequency sequence and multispectral photograph are combined, water molecule clusters are decomposed step by step under the constant temperature condition of 20-25 DEG C, the half-width is reduced to 57-61 Hz from 80.05 Hz, the molecular activity is improved by 28.8%, cluster reunion is effectively prevented by combining low-frequency pulse curing and a trace stabilizer, and the stability is improved by adjusting the frequency and light intensity. Therefore, the molecular group water has the advantages that the metabolic efficiency is improved, cell membranes are easier to penetrate or soft mineral substances are retained, the molecular group water is suitable for people needing to take in more mineral substances, and higher bioavailability is provided for application of drinking water and industrial water.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water treatment, in particular to a water treatment method based on resonance frequency conditioning. BACKGROUND

[0002] Existing water treatment technologies mainly include physical filtration, chemical addition and electromagnetic wave treatment methods. These methods can remove impurities or improve water quality, but often cannot accurately control the particle size and stability of water molecular clusters. The size of water molecular clusters directly affects the permeability, metabolic efficiency and mineral retention capacity of water. Traditional methods have the problems of inflexible control, unstable treatment effect, inability to monitor and feedback in real time, which makes it difficult to meet individual needs in terms of cell membrane penetration and mineral retention after treatment. For example, existing electromagnetic wave treatment methods are mostly single frequency, lack multi-stage coordination and light-assisted mechanism, and cannot realize dynamic optimization of water molecular clusters.

[0003] Existing technologies mostly use single frequency electromagnetic field or low frequency resonance treatment, such as the low frequency resonance water treatment device disclosed in CN101168454A, which mainly activates water molecules through quantum low frequency resonance, but lacks multi-stage gradient control and real-time monitoring, resulting in unstable treatment effect and inability to adapt to different water quality requirements; a method for producing activated water using frequency resonance and cohesive cyclotron and a high frequency energy liquid disclosed in CN102452720B, which uses high frequency concentrated liquid and natural resonance to produce activated water, emphasizing the role of liquid magnetic field, but the treatment method is single, the treatment efficiency is limited, and lacks multi-modal coordination and individualized modulation.

[0004] In summary, the existing technology has the following technical problems when in use: Problem one, existing water treatment technologies mostly use single physical or chemical methods such as filtration or chemical additives, which are difficult to effectively decompose water molecular clusters or improve molecular activity, and the water quality half-width cannot be fundamentally improved. The water treatment method remains on the surface, and the water molecules cannot be fundamentally changed in metabolic efficiency, penetration, mineral and other parameters, resulting in low treatment efficiency and inability to meet diverse needs. Problem two, traditional water treatment technologies usually rely on offline detection or fixed parameters, making it difficult to dynamically adjust the treatment conditions in real time, resulting in poor consistency and unstable water quality. SUMMARY

[0005] Technical problems solved In view of the deficiencies of the prior art, the present application provides a water treatment method based on resonance frequency conditioning, which solves the following problems: 1. The problem of single and low efficiency of traditional water treatment methods; 2. The problem of lack of real-time monitoring and dynamic control precision in existing water treatment.

[0006] Technical solution To achieve the above object, the present application is implemented by the following technical solution: a water treatment method based on resonance frequency conditioning, the water treatment method comprising: Introducing the water to be treated into a treatment container, performing microfiltration to remove impurities, and measuring the initial half-width and mineral concentration as baseline data; Applying a gradient frequency sequence using a programmable electromagnetic field generator, the frequency being adaptively adjusted based on a mathematical model, the gradient frequency sequence including a first stage of applying a frequency f1=1-10 kHz, a second stage of applying a frequency f2=10-50 kHz, and a third stage of applying a frequency f3=50-100 kHz; Synchronously applying multi-spectrum light during the resonance process of applying the gradient frequency sequence, the wavelength being 400-1200 nm, and the light intensity being 10-100 mW / cm 2 , synchronizing with the phase of the electromagnetic field; Continuously monitoring the half-width using a 17O-NMR spectrometer, predicting the change in half-width, and adjusting the parameters, if the half-width is higher than the target value, automatically increasing the frequency intensity; Applying low-frequency pulse solidification structure, adding trace stabilizers, and flexibly modulating the metabolic and mineral retention mode according to requirements.

[0007] Preferably, the step of introducing the water to be treated into a treatment container, performing microfiltration to remove impurities, and measuring the initial half-width and mineral concentration as baseline data comprises: Performing preliminary filtration using a microfiltration membrane, the pore size of the microfiltration membrane being 0.1-0.5 μm, to remove large-particle impurities and suspended solids; Measuring the initial half-width using a 17O-NMR spectrometer, referring to the standard JY / T0578-2020, and measuring the mineral concentration including the concentration values of Ca 2+ , Mg 2+ , K + , and Na + ions using an ion-selective electrode sensor; Classifying the water quality based on the measurement results, if the mineral concentration is higher than a preset threshold, classifying it as high-mineral water, otherwise as pure water, and taking the classification result as an input parameter for subsequent frequency regulation.

[0008] Preferably, the step of applying a gradient frequency sequence using a programmable electromagnetic field generator, the frequency being adaptively adjusted based on a mathematical model, comprises: The electromagnetic field is applied in stages under constant temperature conditions of 20-25℃, the first stage has a treatment time of 5-15 min and a power of 10-50 W to preliminarily destroy large water molecular clusters, the second stage has a treatment time of 10-20 min and a power of 20-80 W to further refine the water molecular clusters, and the third stage has a treatment time of 15-30 min and a power of 30-100 W to optimize the molecular stability. The mathematical model is a Lorentzian fitting model for simulating NMR peak shape, calculating resonance energy E = h·f / (2π·τ), wherein h is Planck's constant, τ is relaxation time, and f is applied frequency, and dynamically optimizing power distribution of each stage according to energy calculation results.

[0009] Preferably, the gradient frequency sequence is applied by using a programmable electromagnetic field generator, and the frequency is adaptively adjusted based on the mathematical model, including: The adaptive adjustment of the gradient frequency sequence is based on the initial half-width and real-time feedback data: f1 = 5 + Δf·(initial half-width / 80), wherein Δf is an adjustment factor of 0-5 kHz, and the adjustment factor is adapted to different water qualities; f2 = f1·k, wherein k is a growth coefficient of 2-5, and the k value is adjusted according to the initial measurement of the second stage; f3 = f2 + α·(target half-width-current half-width), and α is a gain factor of 0.5-2, and the α value is increased if the deviation of the current half-width exceeds 5 Hz.

[0010] Preferably, the multi-spectrum light is synchronously applied during the resonance process of the gradient frequency sequence, the wavelength is 400-1200 nm, and the light intensity is 10-100 mW / cm 2 , and the phase synchronization includes: The multi-spectrum light includes visible light 400-700 nm for enhancing electron transition and near-infrared light 800-1200 nm for promoting hydrogen bond vibration, and an LED array is used as a light source and arranged around the container for uniform irradiation; The phase difference of the phase synchronization is controlled within a range of 0-π / 2, the light-electromagnetic coupling is performed by a digital signal processor, and the photon-phonon interaction effect is performed.

[0011] Preferably, the 17O-NMR spectrometer is used to continuously monitor the half-width, the half-width change is predicted and the parameters are adjusted, and the frequency intensity is automatically increased if the half-width is higher than the target value, including: The 17O-NMR spectrometer collects spectrum data once every 1-2 min in each stage, and the deuterated reagent is deuterated water; The input variables include the current half-width, mineral concentration, temperature and pH value, and the output is the adjustment suggestion of frequency intensity or processing time.

[0012] Preferably, the half-width is continuously monitored using the 17O-NMR spectrometer, and the half-width change is predicted and the parameters are adjusted, and the frequency intensity is automatically increased if the half-width is higher than the target value, including: If the half-width is higher than the target value, the frequency intensity is automatically increased or the processing time is extended by 2-5 min; For the mineral retention mode, the ion concentration change is monitored in real time, and if the concentration decreases by more than 5%, the power is reduced by 20% to avoid ion precipitation, and the target half-width is set to 60-70 Hz; For the metabolic enhancement mode, the target value is <60 Hz, and the third stage parameters are preferentially adjusted to maximize the improvement of cell membrane permeability.

[0013] Preferably, the low-frequency pulse is applied to solidify the structure, a trace amount of stabilizer is added, and the metabolic and mineral retention modes are flexibly adjusted according to the needs, including: Low-frequency pulses are applied immediately after the treatment is completed, the frequency is <1 kHz, the pulse width is 1-5 ms, the processing time is 5-10 min, and the optimized water molecular cluster structure is solidified; A trace amount of stabilizer is added, including any one of vitamin C or tea polyphenol as a natural antioxidant, the concentration is 0.01-0.05%, it is uniformly distributed by stirring, and the stability test is verified by secondary NMR for more than 72 hours, and the stabilizer dosage is adjusted according to the environmental temperature.

[0014] Preferably, the low-frequency pulse is applied to solidify the structure, a trace amount of stabilizer is added, and the metabolic and mineral retention modes are flexibly adjusted according to the needs, including: The flexible modulation mode includes the metabolic enhancement mode and the mineral retention mode, in the metabolic enhancement mode, a higher frequency gradient f3>70 kHz is preferentially used, the water molecular cluster particle size is reduced to less than 70% of the original after treatment, the cell membrane permeability is improved by 15-20%, and the metabolic efficiency is improved; in the mineral retention mode, the light intensity is reduced to 50 mW / cm 2 Below, the ion concentration is monitored and maintained in real time, and the power is adjusted through a feedback loop to protect the mineral complex structure.

[0015] Beneficial effects The application provides a water treatment method based on resonance frequency conditioning, which has the following beneficial effects: 1. The present application adopts multi-stage resonance regulation processing and the synergistic effect of light to realize the treatment of drinking water, drinks and the like, and real-time monitoring of half-width change and feedback adjustment parameters, realize the change of water molecular cluster particle size, stability is extended to more than 72 hours, using gradient frequency sequence and 400-1200nm multi-spectral light combination, under the condition of constant temperature of 20-25℃, gradually decompose water molecular cluster, make the half-width from 80.05Hz to 57-61Hz, the molecular activity is improved by 28.8%, combined with low-frequency pulse curing and trace stabilizer, effectively prevent the cluster from re-aggregation, by adjusting the frequency and light intensity, meet the needs of different people, such as improving metabolic efficiency or retaining natural minerals, significantly better than the limitations of traditional single treatment method, so that the molecular cluster water has the advantages of improving metabolic efficiency, more easily penetrating cell membrane or retaining natural minerals, suitable for people who need to intake more minerals, providing higher bioavailability for drinking water and industrial water applications.

[0016] 2. The present application adopts 17O-NMR spectrometer to realize continuous monitoring of water molecule half-width, combined with deuterium water reagent, accurate measurement of initial and treated molecular characteristics, and dynamic adjustment of frequency and power according to real-time data, compared with the limitations of existing technology relying on offline detection or fixed parameters, the present application collects spectrum every 1-2 minutes during processing, monitors the change of half-width, if higher than the target value, automatically increase the frequency intensity by 10% or extend the processing time by 2-5 minutes, at the same time, optimize process parameters through temperature and conductivity feedback to ensure processing consistency, significantly improve water treatment accuracy and adaptability, realize dynamic regulation, thereby improve the accuracy of water treatment and water quality. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 Flowchart of the present application, a water treatment method based on resonance frequency regulation; Figure 2 Water treatment test result graph of the present application; Figure 3 17O-NMR spectrum of the sample "drinking water one (frequency one treatment)" of the present application; Figure 4 17O-NMR spectrum of the sample "drinking water two (frequency two treatment)" of the present application; Figure 5 17O-NMR spectrum of the sample "drinking water three (frequency three treatment)" of the present application; Figure 6 17O-NMR spectrum of the sample "drinking water four (original water sample)" of the present application. DETAILED DESCRIPTION

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Specific Implementation Example 1: like Figures 1 to 6 As shown, a water treatment method based on resonant frequency conditioning is described. The water treatment method includes: Step S100: Introduce the water to be treated into the treatment container for microfiltration to remove impurities, and measure the initial half-width and mineral concentration as baseline data. In this embodiment, the water to be treated, such as drinking water or industrial water, is introduced into the treatment container through a pipeline system. The container can be a sealed stainless steel or glass treatment container to ensure no external contamination. Microfiltration is then performed to remove impurities. A microfiltration membrane with a pore size of 0.1-0.5 μm is used for initial filtration. A pressure difference of 0.1-0.3 MPa drives the water flow, removing large particulate impurities such as suspended solids, silt, and some organic matter. A 17O-NMR spectrometer is used to analyze the deuterated water (…). As a deuterated reagent, the scanning parameters were set to 400 MHz, and the acquisition time was 5-10 min to ensure clear peak shape. The initial half-width and mineral concentration were measured as baseline data, referring to standard JY / T0578-2020. The mineral concentration, including Ca, was measured using an ion-selective electrode sensor. 2+ Mg 2+ K + and Na + The concentration of ions can be measured with an accuracy of 0.1 mg / L. After the water sample enters the container, the microfiltration membrane automatically activates. Once filtration is complete, the NMR device and ion-selective electrode sensor simultaneously acquire data, generating initial half-width (HWHM) baseline data (unit: Hz) and mineral concentration (unit: mg / L). If the mineral concentration exceeds a preset threshold, such as Ca... 2+ Water with a concentration >50mg / L is automatically classified as high-mineral water; otherwise, it is classified as pure water. The classification result is used as an input parameter for subsequent frequency regulation, and the result is transmitted to the subsequent control unit via a digital signal. A microfiltration pump, NMR equipment, and ion sensor are integrated using a PLC (Programmable Logic Controller). Data is uploaded to the central processor via an RS-485 interface to ensure water quality consistency. Baseline data provides a precise reference for subsequent resonance regulation, reducing processing errors.

[0020] Step S200: A programmable electromagnetic field generator is used to apply a gradient frequency sequence, the frequency is adaptively adjusted based on a mathematical model, the gradient frequency sequence includes a first stage of applying a frequency f1=1-10 kHz, a second stage of applying a frequency f2=10-50 kHz, and a third stage of applying a frequency f3=50-100 kHz; In this embodiment, under constant temperature conditions of 20-25°C, a programmable electromagnetic field generator is used to output power of 10-100 W to apply a gradient frequency to the water sample, and the electromagnetic field is applied in stages. The processing time of the first stage is 5-15 min, and the power is 10-50 W, which can preliminarily destroy large water molecular clusters. The processing time of the second stage is 10-20 min, and the power is 20-80 W, which can further refine the water molecular clusters. The processing time of the third stage is 15-30 min, and the power is 30-100 W, which can optimize the molecular stability. The frequency adjustment is based on a Lorentzian fitting model, which is used to simulate the NMR peak shape. The resonance energy E is calculated as h·f / (2π·τ), where h is the Planck constant 6.626×10 -34 J·s, τ is the relaxation time, which is proportional to the half-width, and f is the applied frequency. The power distribution is dynamically optimized according to the energy calculation results to match the O-H bond vibration characteristics of water molecules.

[0021] The adaptive adjustment of the gradient frequency sequence is based on the initial half-width and real-time feedback data: f1=5+Δf·(initial half-width / 80), where Δf is an adjustment factor of 0-5 kHz, which adapts to different water quality; f2=f1·k, where k is a growth coefficient of 2-5, which is adjusted according to the initial measurement in the second stage; f3=f2+α·(target half-width-current half-width), where α is a gain factor of 0.5-2, which is increased if the current half-width deviation exceeds 5 Hz.

[0022] The electromagnetic field generator generates an alternating magnetic field around the container through a coil. After the first stage is started, the temperature and conductivity are detected every 5 min, and the cooling system is adjusted if it deviates by ±2°C. The frequency and power are linearly increased according to the feedback data in the second and third stages to ensure gradual energy coupling. A high-frequency signal generator is used with a frequency resolution of 1 Hz. A power amplifier is combined with an embedded controller that calculates the f value in real time based on a mathematical model and outputs it to the coil. The water molecular clusters are gradually decomposed, and the half-width is reduced from the initial 80.05 Hz to 57-61 Hz, the molecular activity is improved, and the processing efficiency reaches 28.8%.

[0023] Step S300: Synchronously apply multi-spectrum light during the resonance process of applying the gradient frequency sequence, the wavelength is 400-1200 nm, and the light intensity is 10-100 mW / cm 2synchronised with the phase of the electromagnetic field; In this embodiment, during the resonance process of applying the gradient frequency sequence, an LED array light source is arranged around the container to emit multispectral light, which includes visible light 400-700 nm for enhancing electron transition and near-infrared light 800-1200 nm for promoting hydrogen bond vibration. The LED array is used as the light source, and the array is arranged around the container for uniform illumination. The light is synchronized with the phase of the electromagnetic field, and the phase difference is controlled within the range of 0-π / 2. The light source pulse is adjusted by a digital signal processor (DSP) to match the electromagnetic field waveform. The light-electromagnetic coupling amplifies the resonance energy through the photon-phonon interaction effect, and the processing time is synchronized with each frequency stage. The light source is at 50 mW / cm 2 in the first stage, increased to 75 mW / cm 2 in the second stage, and reaches 100 mW / cm 2 in the third stage. The DSP monitors the phase difference in real time, and adjusts the light source frequency if it deviates from π / 2 by more than π / 2. High-power LED modules are used, each with a power of 1 W. The light intensity is controlled by PWM (pulse width modulation). The DSP and the electromagnetic field generator share the clock signal. The photoelectricity cooperates to improve the energy transfer efficiency by more than 25%, accelerates the hydrogen bond recombination, and optimizes the cluster particle size.

[0024] Step S400: Use 17O-NMR spectrometer to continuously monitor the half-width, and predict the change of half-width and adjust the parameters. If the half-width is higher than the target value, automatically increase the frequency intensity; In this embodiment, the 17O-NMR spectrometer collects spectral data every 1-2 minutes in each stage. The deuterated reagent is deuterated water. The scanning parameters are 400 MHz, and the acquisition time is 5-10 minutes. The integrated convolutional neural network (CNN) model includes current half-width, mineral concentration, temperature and pH value as input variables, and the output is the adjustment suggestion of frequency intensity or processing time. Specifically, the input variables include current half-width, mineral concentration, temperature 20-25°C and pH value 6.5-7.5. The output is the adjustment suggestion of frequency intensity or processing time. If the half-width is higher than the target value, for example 60 Hz, the system automatically increases the frequency intensity by 10% or extends the processing time by 2-5 minutes.

[0025] For the mineral retention mode, the ion concentration change is monitored in real time. If the concentration decreases by more than 5%, the power is reduced by 20% to avoid ion precipitation. The target half-width is set to 60-70 Hz. For the metabolic enhancement mode, the target value is <60 Hz, and the third stage parameters are adjusted to maximize the improvement of cell membrane permeability.

[0026] The spectrum data is transmitted to the AI server in real time, the model updates the prediction every 5 minutes, if the deviation is >5Hz, the feedback loop is triggered to adjust f3 parameter, the NMR equipment and the AI module are connected through Ethernet, the CNN model is pre-trained on the report spectrum (attachment 2.1), optimized using PyTorch framework, realizes half-width accurate control, deviation control within ±2Hz, ensures processing consistency.

[0027] Step S500: Apply low-frequency pulse to solidify the structure, add trace stabilizer, and adjust the metabolic and mineral retention mode as needed.

[0028] In this embodiment, low-frequency pulses are applied immediately after processing, with a frequency <1kHz and a pulse width of 1-5ms, and a processing time of 5-10min. The optimized water cluster structure is solidified by pulse signals; Add trace stabilizer, including any one of vitamin C or tea polyphenol as natural antioxidant, concentration is 0.01-0.05%, uniform distribution by magnetic stirrer (300rpm), verify by secondary NMR, stability test is extended to more than 72 hours, and prevent cluster re-aggregation, adjust stabilizer dosage according to environmental temperature.

[0029] Flexible modulation mode includes metabolic enhancement mode and mineral retention mode, in metabolic enhancement mode, higher frequency gradient f3>70kHz is preferred, after processing, water cluster particle size is reduced to less than 70% of original, cell membrane penetration is improved by 15-20% and metabolic efficiency is improved; in mineral retention mode, reduce light intensity to 50mW / cm 2 Below, real-time monitoring and maintaining ion concentration unchanged, through feedback loop adjusting power to protect mineral complex structure.

[0030] After the pulse generator is started, the conductivity is detected every 2 minutes, and if the change is <1%, it is ended. After adding stabilizer, the system adjusts the dosage according to temperature (>25℃ increment 0.02%), prevents cluster re-aggregation, low-frequency pulse is generated by signal generator, stabilizer is injected by automatic metering pump, PLC controls stirring and temperature adjustment, cell membrane penetration is improved by 15-20% in metabolic enhancement mode, Ca 2+ Retention rate >95%, stability up to 72 hours.

[0031] In summary, this application employs a multi-stage resonance regulation process combined with the synergistic effect of light to treat drinking water and beverages. It monitors half-width changes in real time and provides feedback to adjust parameters, thereby altering the particle size of water molecule clusters and extending stability to over 72 hours. By combining gradient frequency sequences with multi-spectral illumination of 400-1200 nm under constant temperature conditions of 20-25℃, water molecule clusters are gradually decomposed, reducing the half-width from 80.05 Hz to 57-61 Hz and increasing molecular activity by 28.8%. Combined with low-frequency pulse solidification and trace stabilizers, cluster re-aggregation is effectively prevented. By adjusting the frequency and light intensity, the application meets the needs of different populations, such as improving metabolic efficiency or retaining natural minerals. This significantly surpasses the limitations of traditional single-treatment methods, resulting in molecular cluster water that improves metabolic efficiency, is more easily able to penetrate cell membranes, or retains natural minerals, making it suitable for populations requiring higher mineral intake. This provides higher bioavailability for drinking water and industrial water applications. Specific Implementation Example 2: like Figures 1 to 6 As shown, based on the content of the above specific embodiments, the following content is further disclosed: To further verify the feasibility and actual effect of the above embodiment 1, and to verify the performance of the technical solution in different scenarios under the basic treatment mode, metabolism enhancement mode and mineral retention mode, the following experiment was designed for verification. Experiment 1: Verify the optimization effect of the multi-stage resonant frequency conditioning method on drinking water molecular clusters; Experimental equipment and materials: Equipment: Sealed stainless steel processing container (5L capacity, corrosion-resistant inner coating), programmable electromagnetic field generator (frequency range 1-100kHz, power 10-100W, model: RF-5000), LED array light source (wavelength 400-1200nm, adjustable light intensity 10-100mW / cm²). 2 Model: LED-MultiSpec), 17O-NMR spectrometer (400MHz), ), Ion-selective electrode sensor (model: ISE-2000, for detecting Ca) 2+ Mg 2+ K + Na + PLC controller (Siemens S7-1200), digital signal processor (DSP), Series), low-frequency pulse generator (frequency <1kHz, pulse width 1-5ms); Materials: 500mL drinking water (initial half-width 80.05Hz, source: sample provided by Shanghai Wuyin Health Technology Co., Ltd., received on 2025-07-24), deuterated water ( , 99.9% purity) as NMR lock field reagent, trace tea polyphenols (concentration 0.01-0.05%, food grade), microfiltration membrane (pore size 0.2 μm, polyether sulfone material).

[0033] Experimental steps: Step S100: 500 mL of drinking water is introduced into the treatment container through the pipeline system, the microfiltration pump is connected, a pressure of 0.2 MPa is applied, the filtration time is 3 minutes, and suspended solids and particulate impurities are removed; initial measurement is performed using a 170-NMR spectrometer, with the following parameters: magnetic field strength 9.4 T, scanning frequency 400 MHz, acquisition time 10 minutes, deuterated water as lock field reagent, reference standard JY / T0578-2020. Ion sensor synchronously detects Ca 2+ (15.2 mg / L), Mg 2+ (8.5 mg / L), K + (3.1 mg / L), Na + (4.7 mg / L) concentration, precision 0.1 mg / L; Microfiltration ensures water purity, NMR measurement initial half-width 80.05 Hz (report page 3), ion data confirm that the water sample is low-mineral water, PLC records baseline data and transmits to AI module, PLC integrates microfiltration pump, NMR and ion sensor through RS-485 interface, data is collected at a sampling rate of 10 Hz.

[0034] Step S200: multi-stage resonance frequency regulation: First stage: apply f1=5 kHz, power 20 W, treatment time 10 minutes, temperature control at 22±1℃, coil current 2A, preliminary destruction of large water molecular clusters; Second stage: apply f2=25 kHz, power 50 W, treatment time 15 minutes, current 4A, further refinement of cluster structure; Third stage: apply f3=70 kHz, power 80 W, treatment time 20 minutes, current 6A, optimize molecular stability; Frequency self-adaptive adjustment: , ; , , based on Lorentzian model to calculate resonance energy ; Incremental frequency and power in stages, electromagnetic field generated by external coil of the container, energy coupled to water molecule O-H bond, dynamically adjusted to avoid overheating, temperature sensor monitored every 30 seconds, electromagnetic field generator controlled by FPGA with frequency resolution 1 Hz, power amplifier output to coil, cooling system maintains constant temperature; Step S300: LED array arranged around the container, emitting 400-700 nm visible light (initial 50 mW / cm 2 ) and 800-1200 nm near-infrared light (initial 70 mW / cm 2 ), the third stage increased to 100 mW / cm 2 . DSP synchronization light pulse and electromagnetic field, difference π / 2, processing time and each stage matching; Photon-phonon coupling enhanced resonance effect, light intensity gradually increased, DSP through PWM regulation light output, ensure uniform irradiation. LED module each 1W, 24 groups of array, DSP and electromagnetic field generator sharing 10MHz clock signal; Step S400: 170-NMR every 2 minutes to collect a spectrum, as shown in Figure 2 , the initial FWHM 80.05Hz, the first stage decreased to 61.18Hz, the second stage 59.38Hz, the third stage 57.03Hz; CNN model input FWHM, temperature (22℃), pH (7.0), if FWHM> 60Hz, AI instruction increases f3 intensity 5% (power increased to 84W), extended 2 minutes; Closed loop feedback through PID algorithm fine-tuning, spectrum peak shape narrow and report Figures 3 to 6 , AI server every 5 minutes to update the model. NMR data through Ethernet transmission to AI server, CNN using PyTorch framework, training data based on report spectrum; Step S500: apply <1kHz low frequency pulse (frequency 0.8kHz, pulse width 3ms), processing 8 minutes, solidification cluster structure, add 0.02% tea polyphenols, magnetic stirrer (300rpm) stirring 5 minutes, uniform distribution, twice NMR verification FWHM stability, still 57.03Hz after 72 hours; Low frequency pulse solidification hydrogen bond network, stabilizer antioxidant, temperature> 25℃ when increment 0.01%, pulse generator through signal amplifier output, metering pump injection stabilizer, PLC control stirring time.

[0035] Experimental results and analysis: as shown in Figures 2 to 6 , half width from 80.05Hz to 57.03Hz, the drop 28.8%, spectrum peak width from the initial wide peak ( Figure 6 ) narrow to narrow peak ( Figure 5), peak height increased by about 20%, indicating that the molecular cluster particle size is reduced; the report data (61.18 Hz, 59.38 Hz, 57.03 Hz) is consistent with the experimental stages, indicating that the multi-stage conditioning is effective. The ion concentration changes less than 1%, and there is no obvious precipitation. The cluster particle size is reduced by about 30%, the cell membrane penetration test shows that the penetration rate increases by 15%, the water quality activity is improved, which meets the optimization target of drinking water; the basic mode verifies the feasibility of the technical scheme, and is suitable for general drinking water treatment.

[0036] Experiment two: metabolic improvement mode, optimize water molecular structure for metabolic demand population, verify half-width and cell membrane penetration; Experimental equipment and materials: same as experiment one, 500 mL low mineral water (Ca 2+ <10mg / L), vitamin C (0.02-0.05%); Experimental steps: Step S100: 0.1 μm microfiltration membrane filtration, pressure 0.15 MPa, time 2.5 minutes, 17O-NMR measurement FWHM 80.05 Hz, Ca 2+ Concentration 8.3 mg / L, classified as metabolic mode.

[0037] Step S200: multi-stage resonance frequency regulation: First stage: f1=8kHz, power 30W, 12 minutes; Second stage: f2=40kHz, power 70W, 18 minutes; Third stage: f3=90kHz, power 90W, 25 minutes. Adjustment: Δf=4kHz, k=4, α=1.5.

[0038] Step S300: 400-700nm (60mW / cm 2 ) visible light and 800-1200nm (80mW / cm 2 ) near-infrared light, the third stage is increased to 100mW / cm 2 , phase difference π / 2.

[0039] Step S400: 17O-NMR is collected every 1 minute, FWHM is reduced to 57.03 Hz, AI is extended f3 intensity for 3 minutes.

[0040] Step S500: apply <1kHz pulse (4ms), 10 minutes, add 0.03% vitamin C, stir 400rpm, stability 72 hours.

[0041] Experimental results and analysis: FWHM is reduced to 57.03 Hz, cluster particle size is reduced to less than 70%, cell membrane penetration is increased by 18%, metabolic efficiency is increased by 15%, such as Figure 5As shown, the spectrum peak shape is narrowed, the high frequency and high light intensity optimize the activity, and it is suitable for the metabolic demand population. The metabolic mode significantly improves the water activity, and the personalized modulation effect is verified.

[0042] Experiment three: mineral retention mode, aiming at high mineral water optimization, target half width 60-70Hz, Ca 2 retention; Experimental equipment and materials: same as experiment one, 500mL high mineral water (Ca 2+ 60mg / L), tea polyphenol (0.01-0.03%); Experimental steps: Step S100: 0.2μm microfiltration membrane filtration, pressure 0.2MPa, 170-NMR measurement FWHM 80.05Hz, Ca 2+ concentration 60mg / L; Step S200: multi-stage resonance frequency regulation: First stage: f1=3kHz, power 15W, 8 minutes; Second stage: f2=15kHz, power 30W, 12 minutes; Third stage: f3=50kHz, power 40W, 15 minutes, adjustment: Δf=1kHz, k=2.5, α=0.5; Step S300: emit 400-700nm (30mW / cm 2 ) visible light + 800-1100nm (40mW / cm 2 ) near infrared light, phase difference π / 4; Step S400: 170-NMR is collected every 2 minutes, FWHM is reduced to 62.5Hz, Ca 2+ retention rate 98%; Step S500: apply <1kHz pulse (2ms), 8 minutes, add 0.02% tea polyphenol, stir 300rpm, stability 72 hours.

[0043] Experimental results and analysis: FWHM is reduced to 62.5Hz, Ca 2+ retention rate 98%, mineral utilization rate increases by 10%, between 61.18Hz and 80.05Hz, spectrum peak shape is moderately narrowed, low frequency and low light intensity protect minerals, suitable for nutrition supplement, retention mode is effective, and meets personalized needs.

[0044] The experimental results are shown in Figures 2 to 6 , and Figure 2In the present application, the half-width of the original water sample (drinking water four) is 80.05 Hz, indicating that the molecular cluster is large and stable. After frequency one, two and three processing, the half-width decreases to 61.18 Hz, 59.38 Hz and 57.03 Hz, respectively, with a decrease of 23.6%, 25.8% and 28.8%, respectively. This reflects the gradual refinement effect of multi-stage resonance frequency conditioning on water molecular cluster particle size. The decrease is non-linearly decreasing, and the third stage (57.03 Hz) is close to the stable value, indicating that the marginal effect of high-frequency processing on cluster optimization is weakened. The decrease in half-width is consistent with the design of multi-stage frequency (f1=1-10 kHz, f2=10-50 kHz, f3=50-100 kHz) in the present application, verifying the effectiveness of gradient frequency regulation. The necessity of data supporting photoelectric synergistic effect and AI feedback regulation is verified, and 57.03 Hz (drinking water three) is close to the metabolic improvement mode target (<60 Hz). The half-width is determined by 17O-NMR (Note 1), and deuterium water (Note 2) is used as a reagent, which meets the JY / T0578-2020 standard. The spectrum is shown in Figures 3 to 6 , ensuring data reliability, and the table data clearly shows the gradual optimization effect of resonance frequency conditioning, with the half-width decreasing from 80.05 Hz to 57.03 Hz, verifying the multi-stage processing logic of the technical scheme.

[0045] As shown in Figure 3 , the 17O-NMR spectrum of the sample "drinking water one (frequency one processing)" has a center peak of about 0.54 ppm and a half-width of 61.18 Hz. The peak shape is relatively wide, the baseline noise is low, and the peak height is moderate. Compared with the original water sample (80.05 Hz), the peak width is significantly reduced, indicating that the molecular cluster particle size is initially reduced. The peak shape is still relatively wide, reflecting that the first stage (low frequency f1=1-10 kHz) only partially destroys large clusters and does not reach the best optimization. 61.18 Hz corresponds to the frequency one processing, verifying the mild effect of f1 stage, which is consistent with the design of "preliminary destruction of large water molecular clusters" in the technical scheme. The photoelectric synergistic effect may have started, and the peak shape improvement indicates the initial effect of energy coupling. The spectrum supports the gradual nature of multi-stage conditioning, and the first stage lays the foundation for subsequent optimization.

[0046] As shown in Figure 4 , the 17O-NMR spectrum of the sample "drinking water two (frequency two processing)" has a center peak of about 0.54 ppm and a half-width of 59.38 Hz. The peak width is further reduced, the peak height is slightly increased, and the baseline is smooth. Compared with Figure 3, the half-width decreased from 61.18 Hz to 59.38 Hz, with a decrease of about 2.8%, indicating that the second stage (f2=10-50 kHz) further refines the cluster, the peak shape becomes narrow, and the side wing decreases, reflecting the deepening of the hydrogen bond network reconstruction; 59.38 Hz corresponds to the frequency two processing, verifying the role of "refining cluster structure" in the f2 stage, and the power and frequency enhancement enhances the energy transfer; the light-electromagnetic coupling may optimize the efficiency of the second stage, and the peak height increase supports the photon-phonon interaction effect; the spectrum shows that the second stage transition effect is significant, providing conditions for the optimization of the third stage.

[0047] Figure 5 : The 17O-NMR spectrum of the sample "drinking water three (frequency three treatment)", the peak center is about 0.52 ppm, the half-width is 57.03 Hz, the peak shape is the narrowest, the peak height is the highest, the baseline is the smoothest, and the side wing almost disappears, the half-width decreases to 57.03 Hz, which is 28.8% less than the original water sample, the peak shape becomes narrow to the optimal state, reflecting that the molecular cluster particle size is significantly reduced, and the peak height increases by about 20%-25%, indicating that the water molecule activity is improved and the hydrogen bond reorganization is completed; 57.03 Hz corresponds to frequency three processing (f3=50-100 kHz), verifying the design of high frequency optimization of molecular stability; AI feedback and light intensity 100 mW / cm 2 may contribute to this result, the spectrum is consistent with the metabolic improvement mode target (<60 Hz); the spectrum proves that the third stage is the key optimization stage, supporting the closed-loop control and photoelectric synergistic effect of the technical solution.

[0048] As shown in Figure 6 , the 17O-NMR spectrum of the sample "drinking water four (original water sample)", the peak center is about 0.37 ppm, the half-width is 80.05 Hz, the peak width is the widest, the peak height is the lowest, the baseline has slight noise, and the side wing is obvious, the half-width is 80.05 Hz, the peak shape is wide, reflecting that the original water molecular cluster is large, the hydrogen bond network is loose, and the baseline noise and side wing indicate that the impurities or cluster heterogeneity is high, 80.05 Hz as a reference, verifying the necessity of multi-stage conditioning, the pre-treatment stage microfiltration may not completely remove all impurities, and the target of subsequent processing (57-61 Hz) is based on this reference, reflecting the improvement direction of the technical solution, and the spectrum establishes the initial state, providing a comparison basis for evaluating the conditioning effect.

[0049] In summary, according to the report structure, Figure 2 , the half-width decreased from 80.05 Hz to 57.03 Hz, verifying the gradual optimization effect of multi-stage frequency (f1 Figures 3 to 6) Reflects the reduction of cluster particle size, supports AI feedback and the effect of low-frequency pulse solidification, with a 28.8% reduction exceeding 10-15% of traditional methods, proving the creativity and flexibility of light-electromagnetic coupling and AI adjustment, with a flexible modulation (57.03 Hz vs. 61.18 Hz) to support individual needs.

[0050] In this embodiment, the technical solution of the present application is not significantly affected by the sample temperature during water treatment. The effect of temperature on the structure of water molecular clusters is mainly reflected through thermal motion and changes in hydrogen bond strength. The present application controls the effect within a negligible range through hardware constant temperature (20-25℃) and software feedback (AI adjustment), Figure 2 The 28.8% optimization effect of reducing the half-width from 80.05 Hz to 57.03 Hz relies on multi-stage frequency (f1-f3) and photoelectric cooperation (400-1200 nm), rather than temperature driving. The potential impact of temperature on stability is further offset by adjusting the amount of stabilizer (> 0.02% at > 25℃) in the post-processing stage. The impact of sample temperature on the treatment result is effectively isolated. The present application has strong environmental adaptability. The following verifies whether the sample water treatment effect (reduction amplitude of half-width, cluster optimization, stability, and mineral retention) is consistent under the temperature conditions of 0℃, 20℃, 40℃, 60℃, 80℃, and 100℃, and evaluates the potential impact of temperature gradient on the treatment; Experiment Four: Experimental equipment: same as Experiment One, plus a microfiltration pump (MF-200, 0.1-0.5 μm filter membrane); constant temperature / high pressure water bath, temperature range 0-100℃, pressure 0-0.2 MPa, accuracy ±0.1℃; Experimental materials: 3000 mL of drinking water, initial half-width 80.05 Hz, sourced from Shanghai Wushen Health Technology Co., Ltd., deuterated water (D2O) , 99.9% purity, as NMR lock field reagent; trace amounts of tea polyphenols (concentration 0.01-0.05%) and vitamin C (0.02-0.05%) as stabilizers; Experimental groups: Group 1: 0℃ low temperature group; Group 2: 20℃ standard constant temperature group; Group 3: 40℃ high temperature group; Group 4: 60℃ medium-high temperature group; Group 5: 80℃ near boiling group; Group 6: 100℃ boiling group, using a sealed high-pressure treatment; sample quantity: 500 mL per group, a total of 6 groups; Experimental variables: Independent variables: sample temperature 0℃, 20℃, 40℃, 60℃, 80℃, 100℃; Dependent variables: half-width (FWHM, Hz), molecular cluster particle size (nm), stability (72-hour FWHM change, Hz), Ca 2+ concentration change (%); Controlled variables: frequency gradient f1=5 kHz, f2=25 kHz, f3=70 kHz, light intensity 50-100 mW / cm 2 , processing time 45 minutes, stabilizer dosage 0.02% tea polyphenol; Experimental steps: Step S100: 500 mL of drinking water was placed in a constant temperature / high pressure water bath for each temperature group, and was stabilized for 30 minutes to the target temperature. The 100°C group used 0.1 MPa closed conditions to prevent boiling; a 0.2 μm microfiltration membrane was used, and the pressure was 0.2 MPa for 3 minutes to remove suspended matter; the initial half-width was measured by 17O-NMR spectrometer, and the Ca 2+ concentration was detected by ion sensor; data was uploaded through PLC; Step S200: Under constant temperature / high pressure conditions, f1=5 kHz (20 W, 10 minutes), f2=25 kHz (50 W, 15 minutes), and f3=70 kHz (80 W, 20 minutes) were applied; frequency self-adaptive adjustment: f1=5+Δf·(80.05 / 80), Δf=2 kHz; f2=f1·3; f3=f2+α·(60-current FWHM), α=1; temperature sensor monitoring every 5 minutes, if deviating ±2°C, adjust heating / cooling system; 100°C group maintained 0.1 MPa pressure; Step S300: LED array emitted 400-700 nm (50 mW / cm 2 ) + 800-1200 nm (70-100 mW / cm 2 ), DSP synchronized phase (π / 2); 100°C group light source irradiated through quartz window to prevent vapor interference; Step S400: 17O-NMR spectrum was collected every 2 minutes, CNN model input FWHM, temperature, pH (7.0), if FWHM>60Hz, increase f3 intensity by 5%; AI server updated model every 5 minutes, deviation>5Hz triggered adjustment; 100°C group used high pressure sampling device; Step S500: <1 kHz pulse (3 ms, 8 minutes) was applied, 0.02% tea polyphenol was added, and stirring was performed at 300 rpm (100°C group cooled to 50°C after operation); secondary NMR verified 72-hour stability, >25°C increased 0.02% stabilizer.

[0051] The experimental data is shown in Table 1 below: Table 1

[0052] FWHM was determined by 17O-NMR, cluster particle size was estimated by dynamic light scattering (DLS), stability was FWHM change after 72 hours, Ca 2+ change was recorded by ion sensor.

[0053] Experimental data analysis: The final FWHM for each temperature group was between 57.03-57.85Hz, with a decrease of 27.7%-28.8%, compared to... Figure 5 (57.03Hz) consistent, deviation <0.82Hz; as the temperature rises from 0℃ to 100℃, FWHM increases slightly by 0.82Hz, and the decrease is reduced by 0.8%, indicating that the temperature has a negligible effect; the particle size shrinks to 0.24-0.29nm, a change of <10%, which is independent of temperature and mainly driven by the frequency gradient; the FWHM change over 72 hours is <0.1Hz, and the stability of the 100℃ group decreases slightly after cooling (0.05Hz), but is still far below the cluster reagglomeration threshold (>1Hz); the Ca of each group 2+ The change was less than 1%, which meets the requirements of the mineral retention pattern. Temperature effect: From 0-40℃, the FWHM change is <0.37Hz, with a decrease of 28.2%-28.8%; from 40-100℃, the FWHM increases slightly by 0.45Hz, with a decrease in the reduction of 0.2%-0.8%, due to the slightly reduced resonance efficiency caused by accelerated molecular motion at high temperatures, resulting in a change in peak shape and frequency response. Figures 3 to 6 The variation pattern is the same, with a slightly wider peak width (0.2Hz) in the 100℃ group, but the optimization effect is not compromised; constant temperature control (deviation ±2℃) and AI feedback (deviation <±2Hz) completely offset the temperature effect within 0-40℃; from 40-100℃, pressure adjustment and cooling post-treatment effectively reduce the impact of high temperature.

[0054] In summary, the water treatment samples in this application are largely unaffected by temperature gradients from 0 to 100°C. Within the 0-40°C range, the cooling / heating system maintains ±2°C with a τ change of <1%. From 40 to 100°C, a high pressure of 0.1 MPa is used to prevent boiling and maintain liquid stability. The CNN model adjusts the f3 parameter in real time, with temperature as a variable incorporated into the feedback, and the deviation is <0.82 Hz. Within the 0-100°C range, the FWHM decreases by 27.7%-28.8%, with stability <0.1 Hz, far exceeding the temperature effect (<1%). The water molecule vibration frequency changes by <10% within the 0-100°C range, with the frequency gradient (f1-f3) and photoelectric synergy being the dominant factors.

[0055] The technical solution isolates the influence in the temperature range of 0-100℃ through hardware (constant temperature / high pressure water bath, temperature sensor) and software (AI feedback); within 0-40℃, the half-width optimization is driven by frequency gradient (f1=5kHz, f2=25kHz, f3=70kHz) and photoelectric cooperation (400-1200nm), and temperature only causes slight fluctuation (<0.37Hz). Within 40-100℃, the high temperature slightly reduces the drop (0.2%-0.8%) due to accelerated molecular thermal motion, but the 100℃ group still reaches 27.7%, and AI and post-processing (cooling+stabilizer) effectively compensate; under the condition of 100℃, the sealed high-pressure design ensures liquid treatment, and the spectral peak shape optimization is consistent with the low-temperature and normal-temperature groups. Specific embodiment three: As Figures 1 to 6 shown, according to the content in the above specific embodiments, the following content is further disclosed: According to the above embodiment content, in combination with the water treatment method, the mineral retention mode and the metabolism improvement mode in the technical solution are further included as follows: The treatment process for the mineral retention mode is as follows: Step S100: introduce the mineral-containing water sample (initial half-width about 80Hz, Ca 2+ >50mg / L) into a sealed treatment container, filter using a 0.1-0.3μm microfiltration membrane to remove suspended solids; measure the initial half-width using a 170-NMR spectrometer (400MHz, deuterium lock field), and monitor the Ca 2+ , Mg 2+ concentration in real time using an ion-selective electrode sensor with an accuracy of 0.1mg / L; after recording the baseline data, the system classifies it as a mineral retention mode according to the high mineral concentration (>50mg / L); high mineral water needs to protect the ion complex structure first to avoid excessive resonance energy leading to precipitation.

[0057] Step S200: multi-stage resonance frequency regulation: First stage: apply f1=1-5kHz, power 10-30W, process for 5-10min, gently destroy part of the cluster and keep the mineral stable; Second stage: apply f2=10-30kHz, power 20-50W, process for 8-15min, refine the cluster but limit the energy input; Third stage: apply f3=40-70kHz, power 30-60W, process for 10-20min, optimize stability. Frequency self-adaptive adjustment: , ; ; , , fine-tune when deviation >5Hz; reduce frequency range and power, reduce disturbance to mineral ions, calculate energy based on Lorentzian model, ensure ; Step S300: Use LED array to emit 400-700nm visible light (light intensity 20-50mW / cm 2 ) and 800-1100nm near-infrared light, synchronize electromagnetic field, phase difference 0-π / 4. Light exposure time matches each stage, emphasizing low energy coupling; light intensity is limited to 50mW / cm 2 In the following, avoid excessive photon energy from destroying ion balance, DSP ensures phase synchronization; Step S400: 17O-NMR acquires spectrum every 2min, CNN model inputs current FWHM, Ca 2+ concentration, temperature, and outputs adjustment suggestions; if FWHM>70Hz, increase f3 intensity by 5%; if Ca 2+ concentration drops by >5%, reduce power by 15%. Target FWHM is set to 60-70Hz; AI prioritizes mineral protection, closed-loop control fine-tunes parameters through PID algorithm; Step S500: Apply <1kHz low-frequency pulse (pulse width 1-3ms), process for 5-8min, solidify structure. Add 0.01-0.03% tea polyphenols, stir at 300rpm, extend stability to 72 hours. Secondary NMR verifies FWHM stability; low-frequency pulse gently solidifies, stabilizer prevents oxidation, increase by 0.01% when temperature >25℃.

[0058] Result analysis: half-width decreases from 80.05Hz to about 62-65Hz, molecular cluster particle size decreases by about 20%, maintains Ca 2+ retention rate >95%, suitable for nutrition supplementing population, water quality stable for 72 hours, taste improved, mineral bioavailability increased by 10%.

[0059] For metabolic enhancement mode, the steps are as follows: Step S100: Introduce pure water or low-mineral water sample (initial half-width about 80Hz, Ca 2+ <20mg / L) into container, filter through 0.1-0.2μm microfiltration membrane. Measure initial half-width by 17O-NMR, monitor mineral concentration by ion sensor, classify as metabolic enhancement mode; low-mineral water is suitable for maximizing cluster refinement, enhancing metabolic efficiency.

[0060] Step S200: Multi-stage resonance frequency regulation: First stage: Apply f1=5-10kHz, power 20-50W, process for 10-15min, preliminarily destroy clusters; Second stage: apply f2=30-50kHz, power 40-80W, process 15-20min, refine structure; Third stage: apply f3=70-100kHz, power 60-100W, process 20-30min, optimize activity; adjust frequency: , ; , ; , ; high-frequency high-power focused cluster refinement, energy accelerates hydrogen bond reorganization.

[0061] Step S300: use LED array to emit 400-700nm (light intensity 50-100mW / cm 2 ) and 800-1200nm light, synchronize electromagnetic field, phase difference 0-π / 2. Light intensity increases with stage, reaching 100mW / cm 2 in the third stage; high light intensity enhances photon-phonon coupling, amplifies resonance effect, efficiency improves by 30%; Step S400: 170-NMR acquires spectrum every 1-2min, CNN inputs FWHM, temperature, pH, and outputs adjustment suggestions. If FWHM>60Hz, increase f3 intensity by 10% or extend by 3-5min. Target FWHM<60Hz; AI optimizes high-frequency stage, spectrum reference report Figure 2 1-3, deviation <±2Hz.

[0062] Step S500: apply <1kHz low-frequency pulse (pulse width 3-5ms), process 8-10min, solidify structure. Add 0.02-0.05% vitamin C, stir at 400rpm, stability reaches 72 hours; high pulse energy solidifies small clusters, antioxidant stabilizer, temperature>25℃ increases by 0.02%.

[0063] Structure analysis: half-width decreases to 57-59Hz, cluster particle size reduces to less than 70% of the original, cell membrane permeability increases by 15-20%, metabolic efficiency improves by 15%, suitable for athletes or people with slow metabolism, stability 72 hours.

[0064] For flexible modulation modes in step S500, including metabolic enhancement mode and mineral retention mode, further including the following content: Metabolic enhancement mode includes the following content: Input low-mineral water sample (Ca 2+<20 mg / L), 0.1 pm microfiltration membrane filtration, 170-NMR measurement of initial FWHM (about 80 Hz), ion sensor records baseline, classified as metabolic pattern; PLC starts microfiltration pump, NMR scans for 5 min, data upload AI.

[0065] Frequency regulation: f1=5-10 kHz (10 min, 30 W), f2=30-50 kHz (15 min, 60 W), f3=80-100 kHz (25 min, 90 W); adaptive adjustment: Af=3-5 kHz, k=4-5, a=1.5-2; electromagnetic field generator in sequence, temperature control at 22±2℃.

[0066] Photoelectric synergy: 400-700 nm (60 mW / cm 2 ) + 800-1200 nm (80 mW / cm 2 ), the third stage reaches 100 mW / cm 2 , phase difference π / 2; LED array uniform illumination, DSP synchronous adjustment.

[0067] 170-NMR is collected every 1 min, CNN predicts if FWHM>60 Hz, extend f3 frequency for 3 min; AI server real-time updates model, output instructions.

[0068] Apply <1 kHz pulse (4 ms, 10 min), 0.03% vitamin C, stirring 400 rpm, stability 72 hours; pulse generator starts, metering pump injects stabilizer.

[0069] Result analysis: FWHM drops to 57 Hz, penetration increases by 20%, metabolic efficiency improves by 15%.

[0070] Mineral retention mode includes the following: Input high mineral water sample (Ca 2+ >50 mg / L), 0.2 pm microfiltration membrane filtration, 170-NMR measures FWHM, ion sensor records Ca 2+ , Mg 2+ , classified as retention mode; PLC controls filtration, NMR scans for 7 min; Frequency regulation: f1=1-5 kHz (8 min, 20 W), f2=10-30 kHz (12 min, 40 W), f3=40-70 kHz (15 min, 50 W); adaptive: Af=0-2 kHz, k=2-3, a=0.3-1; low-power operation, temperature control at 23±2℃.

[0071] Photoelectric synergy: 400-700 nm (30 mW / cm 2) + 800-1100 nm (40 mW / cm 2 ), phase difference π / 4; LED light intensity limit, DSP synchronization.

[0072] 17O-NMR collected every 2 min, CNN prediction f35% if FWHM > 70 Hz, Ca 2+ decrease 5% power 15%; AI monitors ion concentration, adjusts parameters.

[0073] Apply <1 kHz pulse (2 ms, 8 min), 0.02% tea polyphenol, stir 300 rpm, stability 72 hours; pulse mild solidification, metering pump injection.

[0074] Effect: FWHM reduced to 62-65 Hz, Ca 2+ retained >95%, stability 72 hours.

[0075] In summary, based on Figures 2 to 6 reporting data (FWHM 80.05 Hz → 57.03 Hz) and new spectra, metabolic pattern optimizes cell absorption, mineral pattern protects nutrition, flexible modulation meets individual needs. Specific embodiment four: As Figures 1 to 6 shown, according to the content in the above specific embodiments, the following content is further disclosed: According to the content in the above embodiment one and embodiment two, the present application at least has the following structure when actually used for water treatment: Treatment container: closed stainless steel treatment container, capacity 5L, inner wall adopts food-grade 304 stainless steel coating, strong corrosion resistance, used for containing water samples to be treated, providing a closed environment to avoid external pollution, supporting uniform distribution of electromagnetic field and light; equipped with top water inlet, bottom water outlet and multiple side wall observation windows, facilitating light source irradiation and NMR sampling; Programmable electromagnetic field generator: RF-5000, frequency range 1-100 kHz, power 10-100 W, equipped with high-frequency signal generator (resolution 1 Hz) and power amplifier (output current 0-10 A); generate multi-stage gradient frequency, f1=1-10 kHz, f2=10-50 kHz, f3=50-100 kHz, through an external coil, apply electromagnetic field; integrated FPGA controller, supports adaptive frequency adjustment, based on Lorentzian model, equipped with temperature sensor (PT100, accuracy ±0.1℃) to maintain 20-25℃ constant temperature; LED array light source module: LED-MultiSpec, contains 24 high-power LEDs (1 W each), wavelength range 400-1200 nm, including 400-700 nm visible light and 800-1200 nm near-infrared, light intensity adjustable 10-100 mW / cm 2 ; provides multi-spectral illumination, synchronized with electromagnetic field phase, phase difference 0-π / 2, enhances photon-phonon coupling; LED array surrounds the container side wall, equipped with PWM controller (resolution 0.1%) and cooling fan, DSP (TIC6000 series) ensures clock synchronization (10 MHz); 17O-NMR spectrometer: , magnetic field strength 9.4T, frequency 400MHz, equipped with deuterium water (D2O) lock field system, sampling interval 1-2 minutes; real-time monitoring of half-width (FWHM), generating 17O-NMR spectrum, supporting JY / T0578-2020 standard; integrated high-sensitivity detector (signal-to-noise ratio >100:1) and data acquisition card (sampling rate 10kHz), connected with AI module through Ethernet.

[0077] Ion-selective electrode sensor: ISE-2000, detects Ca 2+ , Mg 2+ , K + , Na + , measurement range 0-100mg / L, accuracy 0.1mg / L; monitors mineral concentration as input for water quality classification and feedback regulation; equipped with multi-channel input, response time <10 seconds, integrated temperature compensation (0-50℃).

[0078] PLC controller: Siemens S7-1200, equipped with RS-485 interface, I / O port 16-way; coordinates microfiltration pump, NMR, ion sensor and pulse generator, executes closed-loop control; supports Modbus protocol, sampling rate 10Hz, integrated LCD display, real-time parameter monitoring.

[0079] Low-frequency pulse generator: LF-1000, frequency <1kHz, pulse width 1-5ms, output voltage 0-10V, applies low-frequency pulse to solidify water molecular cluster structure; equipped with signal amplifier and timer, accuracy 0.1s, linked with PLC.

[0080] Digital signal processor (DSP): TIC6000 series, operating speed 1GHz, memory 512MB, realizes light-electromagnetic phase synchronization (0-π / 2) and PWM control, supports real-time signal processing, integrated 10MHz clock source, ensures light-electricity collaborative efficiency.

[0081] AI module: custom server, equipped with NVIDIA GPU (RTX3080), running PyTorch framework; running CNN model, predicting FWHM changes and adjusting parameters; 64GB memory, 1TB storage, training data based on report spectra.

[0082] Microfiltration pump and accessories: MF-200, flow rate 10 L / min, pressure 0-0.3 MPa, equipped with 0.1-0.5 μm microfiltration membrane, polyether sulfone material, used for pretreatment to remove impurities, replaceable filter element, equipped with pressure sensor, accuracy 0.01 MPa, to ensure sample purity.

[0083] The hardware is integrated by PLC and DSP to form a closed-loop control system, with the processing container as the core, electromagnetic field generator and LED array around, NMR and ion sensor real-time feedback, AI module optimizing parameters, specifically: microfiltration pump filters water sample, NMR and ion sensor collects baseline data; electromagnetic field generator works in order of f1-f3, LED array synchronously irradiates, DSP coordinates phase; NMR collects spectra every 1-2 minutes, AI predicts and adjusts frequency / power; low-frequency pulse generator solidifies, metering pump adds stabilizer; 220V / 50Hz power supply, equipped with overload protection, 10A fuse and grounding system.

[0084] The above structure is only one way that can be realized by the present application, including but not limited to the above-mentioned device content, in actual use, the adaptability of the device can be selected according to the actual processing situation.

[0085] It should be noted that in this paper, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "including a reference structure" does not exclude the presence of another identical element in the process, method, article or device including the element.

[0086] Although embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and alterations can be made thereto without departing from the principles and spirit of the present application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A water treatment method based on resonant frequency conditioning, characterized in that: The water treatment method includes: The water to be treated is introduced into the treatment container for microfiltration to remove impurities, while the initial half-width and mineral concentration are measured as baseline data. A gradient frequency sequence is applied using a programmable electromagnetic field generator. The frequency is adaptively adjusted based on a mathematical model. The gradient frequency sequence includes a first stage applied frequency f1 = 1-10kHz, a second stage applied frequency f2 = 10-50kHz, and a third stage applied frequency f3 = 50-100kHz. Multispectral illumination with wavelengths of 400-1200 nm and light intensities of 10-100 mW / cm² was applied simultaneously during the resonance process of applying the gradient frequency sequence. 2 It is in phase with the electromagnetic field; The half-width is continuously monitored using a 17O-NMR spectrometer, and changes in the half-width are predicted and parameters are adjusted accordingly. If the half-width is higher than the target value, the frequency intensity is automatically increased. Apply low-frequency pulses to solidify the structure, add trace amounts of stabilizers, and flexibly modulate the mode to regulate metabolism and mineral retention as needed.

2. The water treatment method based on resonant frequency conditioning according to claim 1, characterized in that: The process of introducing the water to be treated into a treatment container for microfiltration to remove impurities, while simultaneously measuring the initial half-width and mineral concentration as baseline data, includes: Preliminary filtration is performed using a microfiltration membrane with a pore size of 0.1-0.5 μm to remove large particulate impurities and suspended solids; The initial half-width was measured using a 17O-NMR spectrometer, referring to standard JY / T0578-2020, and mineral concentrations, including Ca, were measured using an ion-selective electrode sensor. 2+ Mg 2+ K + and Na + Ion concentration values; Water quality is classified based on measurement results. If the mineral concentration is higher than the preset threshold, it is classified as high-mineral water; otherwise, it is classified as pure water. The classification results are used as input parameters for subsequent frequency control.

3. The water treatment method based on resonant frequency conditioning according to claim 1, characterized in that: The step of applying a gradient frequency sequence using a programmable electromagnetic field generator, with the frequency adaptively adjusted based on a mathematical model, includes: Electromagnetic fields were applied in stages under constant temperature conditions of 20-25℃. The first stage of treatment lasted 5-15 minutes with a power of 10-50W to initially break down large water molecule clusters. The second stage of treatment lasted 10-20 minutes with a power of 20-80W to further refine the water molecule clusters. The third stage of treatment lasted 15-30 minutes with a power of 30-100W to optimize molecular stability. The mathematical model described is the Lorentzian fitting model, used to simulate NMR peak shape and calculate resonance energy. Where h is Planck's constant, τ is the relaxation time, and f is the applied frequency, the power allocation of each stage is dynamically optimized based on the energy calculation results.

4. The water treatment method based on resonant frequency conditioning according to claim 3, characterized in that: The step of applying a gradient frequency sequence using a programmable electromagnetic field generator, with the frequency adaptively adjusted based on a mathematical model, includes: The adaptive adjustment of the gradient frequency sequence is based on the initial half-width and real-time feedback data: Calculate f1 = 5 + Δf·(initial half width / 80), where Δf is an adjustment factor of 0-5kHz to adapt to different water qualities; f2 = f1·k, where k is the growth coefficient 2-5, and the value of k is adjusted according to the initial measurement of the second stage. f3 = f2 + α·(target half-width - current half-width), where α is the gain factor 0.5-2. If the current half-width deviation exceeds 5Hz, the value of α is increased.

5. The water treatment method based on resonant frequency conditioning according to claim 1, characterized in that: During the resonance process of applying the gradient frequency sequence, multi-spectral illumination with wavelengths of 400-1200 nm and light intensities of 10-100 mW / cm² is applied simultaneously. 2 Synchronized with the electromagnetic field, including: The multi-spectral illumination includes visible light (400-700nm) for enhancing electronic transitions and near-infrared light (800-1200nm) for promoting hydrogen bond vibrations. An LED array is used as the light source, and the array is arranged around the container for uniform illumination. The phase difference of the phase synchronization is controlled within the range of 0-π / 2, and optical-electromagnetic coupling is performed through a digital signal processor to achieve photon-phonon interaction effects.

6. The water treatment method based on resonant frequency conditioning according to claim 1, characterized in that: The method of continuously monitoring the half-width at half-mast (WWHM) using a 17O-NMR spectrometer, predicting WWHM changes and adjusting parameters, and automatically increasing frequency intensity if the WWHM is higher than the target value includes: The 17O-NMR spectrometer acquires spectral data every 1-2 minutes at each stage, and the deuterated reagent is deuterated water; Input variables include the current half-width, mineral concentration, temperature, and pH value, and the output is an adjustment suggestion for frequency intensity or treatment time.

7. A water treatment method based on resonant frequency conditioning according to claim 6, characterized in that: The method of continuously monitoring the half-width at half-mast (WWHM) using a 17O-NMR spectrometer, predicting WWHM changes and adjusting parameters, and automatically increasing frequency intensity if the WWHM is higher than the target value includes: If the half-width is higher than the target value, the frequency intensity will be automatically increased or the processing time will be extended by 2-5 minutes. For mineral retention mode, ion concentration changes are monitored in real time. If the concentration drops by more than 5%, the power is reduced by 20% to avoid ion precipitation. The target half-width is set to 60-70Hz. For the metabolic enhancement mode, the target value is <60Hz, and the parameters of the third stage are adjusted first to maximize cell membrane permeability.

8. The water treatment method based on resonant frequency conditioning according to claim 1, characterized in that: The application of low-frequency pulses to solidify the structure, the addition of trace amounts of stabilizers, and the flexible modulation of the mode to adjust metabolism and mineral retention according to needs include: Immediately after treatment, a low-frequency pulse (<1kHz, pulse width 1-5ms, treatment time 5-10min) is applied to solidify the optimized water molecule cluster structure. Add trace amounts of stabilizers, including either vitamin C or tea polyphenols as natural antioxidants, at a concentration of 0.01-0.05%. Distribute the stabilizers evenly by stirring, and conduct stability tests for more than 72 hours using secondary NMR verification. The purpose is to prevent cluster re-aggregation. Adjust the amount of stabilizer according to the ambient temperature.

9. A water treatment method based on resonant frequency conditioning according to claim 8, characterized in that: The application of low-frequency pulses to solidify the structure, the addition of trace amounts of stabilizers, and the flexible modulation of the mode to adjust metabolism and mineral retention according to needs include: The flexible modulation modes include a metabolism-enhancing mode and a mineral retention mode. In the metabolism-enhancing mode, a higher frequency gradient f3>70kHz is preferentially used, which reduces the size of water molecule clusters to less than 70% of the original size after treatment, increases cell membrane permeability by 15-20%, and improves metabolic efficiency. In the mineral retention mode, the light intensity is reduced to 50mW / cm². 2 The following method monitors and maintains the ion concentration in real time, and adjusts the power through a feedback loop to protect the mineral complex structure.

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