Intelligent ultra-low hertz weak alkaline water generating system based on water quality dynamic sensing and adaptive regulation

Abstract

The application discloses an intelligent ultra-low hertz weak alkali water generation system based on water quality dynamic sensing and self-adaptive regulation and control, which comprises a water quality multi-parameter sensing module, a multi-electrode plate electrolytic cell module, a programmable pulse power supply module, an ultrasonic anti-scale regulation and control module, a central intelligent control module and a double-path quality water outlet module; the water quality sensing module is used for collecting key physicochemical parameters of inlet water in real time; the central intelligent control module calls an embedded optimization database, generates adaptive electrolysis and ultrasonic anti-scale control parameters in combination with a water production mode selected by a user, drives the programmable pulse power supply module to output adjustable pulse direct current, and cooperates with the multi-electrode plate electrolytic cell to complete electrolysis reaction; and the ultrasonic anti-scale module inhibits electrode scaling. Through real-time feedback and dynamic parameter correction, the system can realize stable production of weak alkali water with target physicochemical indexes under different water quality conditions, prolong the service life of core components of the equipment, meet multiple use requirements, and improve the intelligence and practicability of the system.

Description

Technical Field

[0001] This invention relates to the field of weakly alkaline water generation technology, and in particular to an intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control. Background Technology

[0002] In electrochemical water treatment technology, alkaline electrolytic reduced water is increasingly widely used in various fields such as daily drinking, cooking, beauty, and cleaning due to its specific physicochemical properties. Its core preparation principle is to enrich water with hydroxide ions on the cathode side through electrolysis, forming weakly alkaline water with a specific pH value and redox potential. With users' increasing demands for water quality stability, equipment adaptability, and diverse usage scenarios, traditional fixed-parameter controlled electrolytic water generation equipment can no longer meet the refined and intelligent requirements of practical applications. There is an urgent need for an intelligent generation system that can cope with fluctuations in water quality from different sources, ensure consistent water quality, and extend the service life of core components. The intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive regulation has emerged in this context, aiming to solve the technical bottlenecks of traditional equipment through multi-module collaboration and dynamic control technology.

[0003] Existing water electrolysis technology suffers from two major drawbacks: First, it has poor adaptability to influent water quality. Different water sources exhibit significant differences in parameters such as total dissolved solids (TDS), temperature, and initial pH. Traditional equipment uses fixed electrolysis parameters, making it impossible to adjust its operating state according to water quality changes. This results in low electrolysis efficiency in water with low TDS and the generation of excessive harmful byproducts in water with high hardness, making it difficult to stably produce weakly alkaline water that meets the target physicochemical indicators. Second, core components suffer from severe wear and tear, and the quality of the produced water is unstable. During electrolysis, scale buildup on the cathode surface reduces electrolysis efficiency, and oxidation reactions at the anode form a passivation film, shortening the lifespan of the electrodes and ion exchange membranes. Furthermore, the fixed-level control method lacks the ability to finely adapt to different usage scenarios, causing significant fluctuations in key parameters such as pH and oxidation-reduction potential in weakly alkaline water produced from different batches and water sources, affecting the overall performance. Summary of the Invention

[0004] In order to overcome the shortcomings and deficiencies of existing technologies, this invention provides an intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control.

[0005] The technical solution adopted in this invention is an intelligent ultra-low Hertz weak alkaline water generation system based on dynamic water quality sensing and adaptive regulation, including: a water quality multi-parameter sensing module, a multi-electrode plate electrolytic cell module, a programmable pulse power supply module, an ultrasonic anti-scaling regulation module, a central intelligent control module, and a dual-channel water separation and output module. The multi-parameter water quality sensing module is electrically connected to the central intelligent control module to collect and transmit the calibrated physicochemical parameters of the incoming water to the central intelligent control module in real time. The multi-electrode plate electrolyzer module is connected to the water circuit of the multi-parameter water quality sensing module and to the programmable pulse power supply module, respectively, to receive the pretreated water flow and complete the electrolysis reaction under the action of calibrated electrical energy. The programmable pulse power supply module is controlled by the central intelligent control module to output ultra-low Hertz pulse DC current with adjustable amplitude and pulse width. The ultrasonic anti-scaling control module is coupled to the outside of the multi-electrode plate electrolyzer module and electrically connected to the central intelligent control module to emit calibrated frequency ultrasonic waves into the electrolyzer. The central intelligent control module has a built-in electrolysis parameter optimization database to receive data from the sensing module, parse user commands, and generate optimized control signals. The dual-channel separate water output module is connected to the water circuit of the multi-electrode plate electrolyzer module to collect and store the weakly alkaline water and acidic water generated by electrolysis, respectively. Each module transmits signals and facilitates material flow through water pipes and electrical circuits according to functional logic.

[0006] Furthermore, the multi-electrode plate electrolytic cell module includes: a parallel array electrode unit, an ion exchange membrane separation unit, an electrode spacing adjustment unit, and a chamber sealing and protection unit; the parallel array electrode unit is composed of alternating titanium-plated platinum anode plates and stainless steel cathode plates, with no less than three sets of electrodes distributed at equal intervals; the ion exchange membrane separation unit is disposed between adjacent electrodes for selective permeation of anions and cations and separation to form independent cathode and anode chambers; the electrode spacing adjustment unit is connected to the electrode fixing bracket through a threaded transmission mechanism, and the distance between adjacent electrodes can be changed through mechanical adjustment; the chamber sealing and protection unit uses fluororubber seals embedded in the interface of the electrolytic cell shell, and isolates and seals the chamber from the external environment through a compression structure.

[0007] Furthermore, the programmable pulse power supply module includes: a DC-DC conversion unit, a pulse waveform generation unit, a parameter adjustment unit, and an overload protection unit; the DC-DC conversion unit converts AC mains power into stable DC power, and removes noise interference through a filter circuit; the pulse waveform generation unit generates an ultra-low Hertz pulse signal through a programmable logic device, and the pulse period and duty cycle can be flexibly adjusted; the parameter adjustment unit receives instructions from the central intelligent control module to precisely control the amplitude, pulse width, and polarity of the pulse signal; the overload protection unit monitors the output current and voltage in real time, and automatically cuts off the circuit when the detected value exceeds a preset threshold to avoid damage to the module and the electrolytic cell.

[0008] Furthermore, the ultrasonic anti-scaling control module includes: a high-frequency oscillation unit, a transducer coupling unit, a power adjustment unit, and a frequency matching unit; the high-frequency oscillation unit generates a calibration frequency band electrical signal through an oscillation circuit to provide the energy basis for ultrasonic wave transmission; the transducer coupling unit converts the electrical signal into mechanical vibration, and transmits energy by tightly adhering to the electrolytic cell shell through a coupling agent; the power adjustment unit dynamically adjusts the ultrasonic output power according to the water quality parameter feedback signal; the frequency matching unit adjusts the oscillation frequency through an impedance matching circuit to ensure that the ultrasonic frequency and the resonant frequency of the scale are matched.

[0009] Furthermore, the central intelligent control module includes: a data receiving and processing unit, an optimized database storage unit, a control command generation unit, and a feedback adjustment unit; the data receiving and processing unit performs analog-to-digital conversion and filtering on the parameter signals transmitted by the water quality sensing module; the optimized database storage unit pre-stores the mapping relationship between different water quality parameters and electrolysis parameters; the control command generation unit generates control signals based on user needs and real-time water quality data; and the feedback adjustment unit receives the product water quality detection signal and dynamically corrects the control parameters.

[0010] Furthermore, the multi-electrode plate electrolytic cell module includes an electrolytic current density control model, the expression of which is: ; in, The electrolysis current density, The electrode reaction rate constant is... The total dissolved solids content of the influent. The inlet water temperature, To achieve the target product water pH value, The pH value of the influent. The distance between the plates is the distance between the plates. The permeability of the ion exchange membrane. The conductivity of the electrode surface is denoted as .

[0011] Furthermore, the ultrasonic anti-scaling control module includes an ultrasonic anti-scaling power control model, the expression of which is: ; in, This refers to the ultrasonic output power. For power reference coefficient, The ultrasonic angular frequency, For the duration of electrolysis, This refers to the calcium ion concentration in the influent. This refers to the magnesium ion concentration in the influent. The sound wave attenuation coefficient, For water viscosity, For feedback adjustment coefficient, This represents the real-time pH value of the cathode chamber during electrolysis.

[0012] Furthermore, the programmable pulse power supply module includes a pulse duty cycle optimization model, the expression of which is: ; in, The pulse duty cycle. The target ORP weight coefficient, For the target product water ORP value, This is the influent ORP weighting coefficient. The influent ORP value. This is the water quality impact coefficient. The time decay coefficient, The reaction rate constant is... Electrolysis time, This refers to the number of anode plates. This represents the number of cathode plates.

[0013] Furthermore, the dual-channel water separation module includes a pH prediction model for weakly alkaline water, expressed as: ; in, To produce a weakly alkaline water with a suitable pH value, The pH value of the influent. The pH contribution coefficient of the electrolysis reaction. For current density, Electrolysis time, For film thickness, The ion diffusion coefficient is... The electrode surface area. For water flow rate, This is the water quality correction factor. The total dissolved solids content of the influent. The inlet water temperature, This refers to the ultrasonic power. This refers to the ultrasonic frequency.

[0014] This intelligent ultra-low Hertz weakly alkaline water generation system, based on dynamic water quality sensing and adaptive control, operates in the following steps: First, the system receives the user-selected weakly alkaline water production mode command through a human-machine interface. The central intelligent control module parses the command and retrieves the corresponding target pH and ORP ranges. Second, the inlet water passage is activated, allowing water to flow into the multi-parameter water quality sensing module. This module continuously collects the TDS, pH, and temperature physicochemical parameters of the inlet water, converting the collected analog signals into digital signals and transmitting them to the central intelligent control module. Third, the central intelligent control module calls upon its built-in electrolysis parameter optimization database, matching the real-time collected water quality parameters with the target production water parameters to generate parameters including electrolysis current, pulse frequency, and ultrasonic power. The initial control parameter set is set within the module; the fourth step is that the central intelligent control module sends control commands to the programmable pulse power supply module and the ultrasonic anti-scaling control module to drive the multi-electrode plate electrolyzer module to start electrolysis, while simultaneously receiving real-time feedback signals of the working status of each module; the fifth step is that during the electrolysis process, the real-time pH and ORP values ​​of the weakly alkaline water are collected by the product water quality detection unit, and the detection data is fed back to the central intelligent control module. The module dynamically fine-tunes the control parameters based on the deviation between the feedback data and the target parameters; the sixth step is that when the product water parameters reach the target range and remain stable, the central intelligent control module controls the dual-channel separate water output module to open the weakly alkaline water output channel, and simultaneously records the water quality parameters, control parameters, and product water results of this operation for optimization of database updates and iterations.

[0015] Beneficial Effects: This invention proposes an intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control. Through a multi-parameter water quality sensing module, key physicochemical properties of the influent are captured in real time. Combined with the optimized database and feedback adjustment mechanism built into the central intelligent control module, dynamic adaptation of electrolysis parameters is achieved, solving the problem of poor adaptability to water quality in traditional equipment. Regardless of fluctuations in parameters such as total dissolved solids content and temperature of the influent, the system can output adapted ultra-low Hertz pulsed DC power through a programmable pulse power supply module. Combined with the adjustable electrode spacing design of the multi-electrode plate electrolysis cell module, it stably produces weakly alkaline water that meets the target requirements. Simultaneously, the ultrasonic anti-scaling control module uses specific frequency ultrasound to suppress and peel off scale from the cathode surface. Combined with the pulsed electrolysis mode, this reduces electrode polarization and oxidation reactions, significantly reducing core component wear and extending equipment lifespan, effectively overcoming the shortcomings of traditional equipment such as easy electrode scaling and short lifespan. The dual-channel water separation module enables the separation and collection of weakly alkaline and acidic water to meet diverse usage needs. The entire intelligent control process ensures the consistency of key water production parameters through real-time sensing, dynamic regulation, and closed-loop correction, thoroughly improving the problem of unstable water quality in traditional equipment and comprehensively enhancing the system's practicality and reliability. Attached Figure Description

[0016] Figure 1This is a diagram showing the system module composition of the present invention; Figure 2 This is a flowchart of the system operation steps of the present invention. Detailed Implementation

[0017] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. The application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0018] like Figure 1 As shown, the intelligent ultra-low Hertz weak alkaline water generation system based on dynamic water quality sensing and adaptive regulation includes: a multi-parameter water quality sensing module, a multi-electrode plate electrolyzer module, a programmable pulse power supply module, an ultrasonic anti-scaling and regulation module, a central intelligent control module, and a dual-channel water separation and output module. The multi-parameter water quality sensing module is electrically connected to the central intelligent control module to collect and transmit the calibrated physicochemical parameters of the incoming water to the central intelligent control module in real time. The multi-electrode plate electrolyzer module is connected to the water circuit of the multi-parameter water quality sensing module and to the programmable pulse power supply module, respectively, to receive the pretreated water flow and complete the electrolysis reaction under the action of calibrated electrical energy. The programmable pulse power supply module is controlled by the central intelligent control module to output ultra-low Hertz pulse DC current with adjustable amplitude and pulse width. The ultrasonic anti-scaling control module is coupled to the outside of the multi-electrode plate electrolyzer module and electrically connected to the central intelligent control module to emit calibrated frequency ultrasonic waves into the electrolyzer. The central intelligent control module has a built-in electrolysis parameter optimization database to receive data from the sensing module, parse user commands, and generate optimized control signals. The dual-channel separate water output module is connected to the water circuit of the multi-electrode plate electrolyzer module to collect and store the weakly alkaline water and acidic water generated by electrolysis, respectively. Each module transmits signals and facilitates material flow through water pipes and electrical circuits according to functional logic.

[0019] The multi-parameter water quality sensing module and the central intelligent control module achieve a stable electrical connection via shielded twisted-pair cable, with a data transmission rate of 9600bps, ensuring delay-free and interference-free transmission of parameter signals. The module is encased in an IP67 waterproof stainless steel shell and installed on the water pipe 10cm upstream of the electrolysis cell inlet. Internally, it integrates three core detection components: a conductivity sensor, a pH sensor, and a temperature sensor. All sensor probes are treated with an anti-corrosion coating, ensuring a service life of at least 5000 hours. The conductivity sensor has a measurement range of 10-5000μS / cm and a measurement accuracy of ±1%FS, accurately capturing subtle changes in the total dissolved solids content of the influent. The pH sensor has a measurement range of 2.0-12.0 and a resolution of 0.01pH, using a glass electrode material with a response time of less than 2 seconds, enabling real-time monitoring of influent pH fluctuations. The temperature sensor is a PT100 platinum resistance thermometer with a measurement range of 0-60℃ and an error of no more than ±0.5℃, quickly sensing water temperature changes. The module has a built-in low-power data acquisition chip that continuously collects three parameters twice per second. The collected analog signals are processed by the internal filtering circuit and converted into digital signals, which are then transmitted to the central intelligent control module via serial communication protocol. This provides real-time and accurate water quality data for the dynamic optimization of subsequent electrolysis parameters. Its fixed structure design ensures that the water flow is fully tested before entering the electrolysis cell, avoiding the influence of changes in water flow state on the test results. It is also adaptable to the humidity and temperature requirements of different installation environments.

[0020] The multi-electrode plate electrolyzer module is connected to a multi-parameter water quality sensing module via food-grade 304 stainless steel pipes. The pipes have an inner diameter of 20mm, and the water flow rate is adjustable from 1-3L / min. It is also electrically connected to a programmable pulse power supply module via high-temperature resistant silicone wires, with a rated current of 10A. The electrolyzer shell is made of ABS engineering plastic injection molding with external reinforcing ribs. It withstands a working pressure of 0.1-0.3MPa and a working temperature of 5-45℃. Its overall dimensions are 300mm × 150mm × 100mm, facilitating installation and maintenance. Inside the electrolyzer, five sets of parallel electrode plates are used. The anode plates are made of titanium-plated platinum with a thickness of 2mm and a plating thickness of 5μm. The cathode plates are made of 304 stainless steel with a thickness of 3mm. The electrode plate dimensions are 150mm × 80mm, and the initial electrode spacing is set to 5mm. This spacing can be precisely adjusted within the range of 3-8mm via a threaded transmission mechanism to adapt to the electrolysis requirements of different water qualities. A perfluorosulfonic acid ion exchange membrane with a thickness of 0.15 mm is installed between adjacent electrode plates, effectively separating them into independent cathode and anode chambers. Each chamber has a volume of 150 mL, and the ion permeability of the ion exchange membrane is no less than 95%, ensuring efficient electrolysis. The chamber sealing protection unit uses fluororubber seals with a cross-sectional diameter of 5 mm, which are embedded in the groove at the interface of the electrolytic cell shell. The bolt-tightening structure completely isolates the chamber from the external environment, preventing water and electrical leakage. The material selection and structural design of the electrode plates not only ensure electrolysis efficiency but also extend the service life of the electrodes, ensuring that the electrolysis reaction continues in a stable and safe environment.

[0021] The programmable pulse power supply module achieves bidirectional signal interaction with the central intelligent control module through a shielded control harness. It receives control commands from the central intelligent control module and simultaneously provides stable operating power to the multi-electrode plate electrolytic cell module via output cables. The module's overall dimensions are 200mm × 150mm × 80mm, and its operating ambient temperature is 0-40℃ with a relative humidity not exceeding 85%. The module's input voltage is compatible with 220V AC mains at a frequency of 50Hz, with an input power of 300W. An internal DC-DC converter transforms the AC power into a stable 12V DC power with a conversion efficiency of no less than 90%. The DC-DC converter incorporates an EMI filter circuit to effectively remove grid noise interference, resulting in an output DC ripple factor of less than 1%. The pulse waveform generation unit uses a programmable logic device (CPLD) as the core control chip, capable of generating ultra-low Hertz pulse signals. The pulse frequency is continuously adjustable within the range of 0.1-10Hz, and the pulse period and duty cycle can be flexibly set via commands from the central intelligent control module. The duty cycle adjustment range is 10%-90%, with a step size of 1%. The parameter adjustment unit receives digital commands from the central intelligent control module and precisely controls the amplitude, pulse width, and polarity of the pulse signal through a high-precision DAC chip. The pulse amplitude adjustment range is 0-24V with an adjustment accuracy of 0.1V, the pulse width adjustment range is 100μs-10ms, and the polarity can be automatically switched to meet the needs of different electrolysis scenarios. The overload protection unit has a built-in current transformer and voltage detection circuit to monitor the output current and voltage in real time. The set overcurrent threshold is 10A and the overvoltage threshold is 26V. When the detected value exceeds the preset threshold, the protection unit will automatically cut off the output circuit within 10ms and send a fault signal to the central intelligent control module to prevent damage to the module and electrolytic cell due to overload and ensure the safe and stable operation of the system.

[0022] The ultrasonic anti-scaling control module is encapsulated in an aluminum alloy shell, measuring 120mm × 80mm × 50mm. It operates at 12V DC and consumes no more than 30W of power. It is bolted to the outside of the multi-electrode plate electrolytic cell module, fitting snugly against the cell housing. It is also electrically connected to the central intelligent control module via a signal line, receiving control commands and providing feedback on its operating status. The module's high-frequency oscillation unit employs an LC oscillation circuit design, with an adjustable oscillation frequency ranging from 20kHz to 100kHz. Precise frequency control is achieved by adjusting the capacitor and inductor parameters in the circuit, ensuring a frequency stability error of no more than ±0.5kHz, providing a stable energy base for ultrasonic emission. The transducer coupling unit uses a piezoelectric ceramic transducer with a diameter of 30mm and a thickness of 10mm. Its emitting surface is tightly bonded to the outer shell of the electrolytic cell's cathode chamber using high-temperature thermally conductive silicone grease as a coupling agent. The grease thickness is 0.5mm, ensuring efficient conversion of electrical signals into mechanical vibrations and transmission to the electrolytic cell. The transducer's electromechanical coupling coefficient is no less than 0.5, and the vibration amplitude can reach 5μm. The power adjustment unit employs PWM pulse width modulation technology, dynamically adjusting the ultrasonic output power based on water quality parameter feedback signals from the central intelligent control module. The power adjustment range is 5W-30W with an adjustment accuracy of 1W, allowing for real-time optimization of the anti-scaling effect according to changes in influent water hardness. The frequency matching unit incorporates an impedance matching circuit. By adjusting the parameters of the variable resistor and capacitor, the ultrasonic emission frequency is kept matched to the resonant frequency of scale formation, with an impedance matching error not exceeding 5%. This ensures that ultrasonic energy effectively acts on the cathode plate surface, inhibiting scale deposition and peeling off existing thin scale, extending the service life of the electrodes and ion exchange membranes, and guaranteeing the long-term, efficient operation of the electrolyzer.

[0023] The central intelligent control unit is the core control unit of the system, equivalent to the "brain" of the entire system. It adopts a double-layer PCB design, measuring 150mm × 100mm, operating at 5V DC, with a power consumption not exceeding 10W, and an operating temperature range of 0-45℃. It connects electrically to other modules through multiple interfaces, coordinating the orderly operation of each module. The microprocessor unit of this module uses a 32-bit ARM Cortex-M4 core MCU chip with a main frequency of 168MHz, 512KB of flash memory and 128KB of RAM, possessing fast data processing and instruction execution capabilities. The data receiving and processing unit receives analog signals transmitted from the water quality multi-parameter sensing module through an ADC analog-to-digital converter module. The conversion accuracy is 12 bits, and the sampling rate is 1kHz. The converted digital signal undergoes moving average filtering to remove random interference and ensure data accuracy. Simultaneously, it receives operating status feedback signals from each module via a UART serial port. The optimized database storage unit uses an 8GB SD card as the storage medium, pre-stored mapping data between different combinations of water quality parameters and their corresponding optimal electrolysis parameters, with a data volume of no less than 100,000 sets. It also supports self-learning updates based on the "water quality parameters-control parameters-product water results" data recorded during system operation, continuously optimizing parameter matching accuracy. The control command generation unit combines the product water mode commands input by the user through the human-machine interface with real-time water quality data, calls the mapping relationships in the optimized database, and generates control commands including parameters such as electrolysis current, pulse frequency, and ultrasonic power through logical operations. The command output delay does not exceed 50ms. The feedback adjustment unit receives real-time data on the pH value and redox potential of the weakly alkaline water collected by the product water quality detection unit, compares it with the target parameters to calculate the deviation, and dynamically fine-tunes the control parameters using a PID algorithm based on the deviation value. The fine-tuning step size is 0.1V (voltage), 0.1A (current), and 1kHz (ultrasonic frequency), ensuring that the product water parameters remain stable within the target range. It also records complete data from each run, providing a basis for database updates.

[0024] The dual-channel water separation module is the terminal unit of the system for the classified collection and output of produced water. It is made of a combination of food-grade 304 stainless steel and engineering plastics, with overall dimensions of 250mm × 120mm × 80mm. It connects to the cathode and anode chambers of the multi-electrode plate electrolysis cell module via two independent food-grade silicone pipes. The pipes have an inner diameter of 16mm and a pressure resistance rating of 0.6MPa. The module contains two independent water storage chambers, one for collecting and storing the weakly alkaline water and the other for storing the acidic water generated during electrolysis. Each chamber has an effective volume of 500mL and is smooth with no dead corners, facilitating cleaning and preventing secondary water contamination. Below each chamber is a corresponding water outlet channel, each equipped with a solenoid valve. The solenoid valve has a rated voltage of 12V DC, a response time of less than 50ms, and a switching life of at least 100,000 cycles. The solenoid valve is electrically connected to the central intelligent control module, receiving switching control commands from the module to precisely open and close the water outlet channel. The water outlet is connected to a food-grade stainless steel outlet with an inner diameter of 10mm. It is equipped with a splash-proof device. The weak alkaline water outlet and the acidic water outlet are distinguished by different colors for easy user identification. The module has a built-in liquid level sensor using capacitive sensing, with a measurement range of 0-500mL and an accuracy of ±5mL. It monitors the liquid level in both storage chambers in real time. When the liquid level reaches the set maximum threshold (450mL), it sends a signal to the central intelligent control module, which then stops the electrolysis cell to prevent overflow. When the liquid level falls below the minimum threshold (50mL), the system automatically restarts electrolysis to replenish the water. Simultaneously, external status indicator lights show the storage and output status of the weak alkaline and acidic water, respectively, allowing users to intuitively understand the module's operation. The overall structural design balances practicality and safety, ensuring clear classification of different types of produced water and stable output to meet diverse user needs.

[0025] Preferably, the multi-electrode plate electrolytic cell module includes: a parallel array electrode unit, an ion exchange membrane separation unit, an electrode spacing adjustment unit, and a chamber sealing and protection unit; the parallel array electrode unit is composed of alternating titanium-plated platinum anode plates and stainless steel cathode plates, with no less than three sets of electrodes distributed at equal intervals; the ion exchange membrane separation unit is disposed between adjacent electrodes for selective permeation of anions and cations and separation to form independent cathode and anode chambers; the electrode spacing adjustment unit is connected to the electrode fixing bracket through a threaded transmission mechanism, and the distance between adjacent electrodes can be changed through mechanical adjustment; the chamber sealing and protection unit uses fluororubber seals embedded in the interface of the electrolytic cell shell, and isolates and seals the chamber from the external environment through a compression structure.

[0026] Specifically, the multi-electrode plate electrolytic cell module, as the core electrolysis reaction execution component of the system, uses a parallel array electrode unit with alternating titanium-plated platinum anode plates and 304 stainless steel cathode plates. Five groups of electrodes are used, each group having a uniform size of 150mm × 80mm and thicknesses of 2mm and 3mm respectively. The electrodes are evenly distributed with an initial spacing of 5mm. The platinum plating thickness of the titanium-plated platinum anode plates is no less than 5μm to ensure corrosion resistance and conductivity stability during electrolysis. The stainless steel cathode plate surface is polished to reduce the probability of scale adhesion. The ion exchange membrane separation unit uses a perfluorosulfonic acid type ion exchange membrane with a thickness of 0.15mm. The membrane area is consistent with the effective area of ​​the electrode plates and is tightly fitted between adjacent plates, achieving selective permeation of anions and cations. Simultaneously, it divides the electrolytic cell interior into independent cathode and anode chambers, each with an effective volume of 150mL, ensuring efficient electrolysis within their respective independent spaces. The electrode spacing adjustment unit is connected to the electrode fixing bracket via a high-precision threaded transmission mechanism with a transmission accuracy of 0.1mm. Operators can flexibly adjust the electrode spacing within the range of 3-8mm using an external adjustment knob to adapt to the electrolysis requirements of different water qualities. The chamber sealing and protection unit uses fluororubber seals with a cross-sectional diameter of 5mm, embedded in the annular groove at the interface of the electrolytic cell shell. The seals are tightly fitted to the electrodes and shell through a bolt tightening structure, with a sealing pressure of not less than 0.3MPa. This achieves complete isolation between the chamber and the external environment, effectively preventing problems such as water leakage, electrical leakage, and electrolyte leakage, ensuring the safety and stability of the electrolysis process.

[0027] Preferably, the programmable pulse power supply module includes: a DC-DC conversion unit, a pulse waveform generation unit, a parameter adjustment unit, and an overload protection unit; the DC-DC conversion unit converts AC mains power into stable DC power, and removes noise interference through a filter circuit; the pulse waveform generation unit generates an ultra-low Hertz pulse signal through a programmable logic device, and the pulse period and duty cycle can be flexibly adjusted; the parameter adjustment unit receives instructions from the central intelligent control module to precisely control the amplitude, pulse width, and polarity of the pulse signal; the overload protection unit monitors the output current and voltage in real time, and automatically cuts off the circuit when the detected value exceeds a preset threshold to avoid damage to the module and the electrolytic cell.

[0028] Specifically, the programmable pulse power supply module undertakes the system's power conversion and precise control functions. Its DC-DC conversion unit connects to 220V, 50Hz AC mains power, and converts the AC power to stable 12V DC power through a bridge rectifier circuit and a filter circuit, with a conversion efficiency of no less than 90%. The built-in EMI filter circuit can effectively suppress grid noise interference, making the ripple coefficient of the output DC power less than 1%, providing a stable DC power supply foundation for subsequent pulse signal generation. The pulse waveform generation unit uses a programmable logic device (CPLD) as the core control chip. The chip's main frequency reaches 100MHz, enabling it to generate pulse signals in the ultra-low Hertz range. The pulse frequency can be continuously adjusted within the range of 0.1-10Hz, the pulse period adjustment step is 0.01s, and the duty cycle can be precisely set between 10% and 90% in 1% steps to meet the pulse mode requirements of different electrolysis scenarios. The parameter adjustment unit receives digital control commands from the central intelligent control module and uses a 16-bit high-precision DAC chip to regulate the amplitude, pulse width, and polarity of the pulse signal. The pulse amplitude adjustment range is 0-24V with an adjustment accuracy of 0.1V, the pulse width can be flexibly adjusted between 100μs and 10ms, and the polarity switching response time is less than 100μs, achieving multi-dimensional precise control of the pulsed DC power. The overload protection unit has a built-in current transformer and voltage detection circuit to monitor the current and voltage data at the output terminal in real time. The overcurrent threshold is set to 10A and the overvoltage threshold to 26V. When the detected current or voltage exceeds the preset threshold, the protection unit will trigger a relay to cut off the output circuit within 10ms and send a fault alarm signal to the central intelligent control module to prevent damage to the module itself and the multi-electrode plate electrolytic cell due to overload, ensuring the safe and stable operation of the entire system.

[0029] Preferably, the ultrasonic anti-scaling control module includes: a high-frequency oscillation unit, a transducer coupling unit, a power adjustment unit, and a frequency matching unit; the high-frequency oscillation unit generates a calibration frequency band electrical signal through an oscillation circuit to provide the energy basis for ultrasonic wave transmission; the transducer coupling unit converts the electrical signal into mechanical vibration, and transmits energy by tightly adhering to the electrolytic cell shell through a coupling agent; the power adjustment unit dynamically adjusts the ultrasonic output power according to the water quality parameter feedback signal; the frequency matching unit adjusts the oscillation frequency through an impedance matching circuit to keep the ultrasonic frequency and the scale resonant frequency compatible.

[0030] Specifically, the ultrasonic anti-scaling control module is designed to inhibit scale formation on the electrodes of the electrolytic cell. Its high-frequency oscillation unit adopts an LC oscillation circuit structure. By adjusting the capacitance and inductance parameters in the circuit, the oscillation frequency can be adjusted within the range of 20kHz-100kHz, with a frequency stability error of no more than ±0.5kHz. The output power of the oscillation circuit can reach 30W, providing continuous and stable energy support for ultrasonic emission. The transducer coupling unit uses a 30mm diameter, 10mm thick piezoelectric ceramic transducer with an electromechanical coupling coefficient of no less than 0.5. A 0.5mm thick layer of high-temperature thermally conductive silicone grease is applied to the emitting surface as a coupling agent, tightly adhering to the outer shell of the cathode chamber of the electrolytic cell. This ensures that the electrical signal is efficiently converted into mechanical vibration, with a vibration amplitude of up to 5μm, and that the vibration energy can be effectively transferred to the surface of the cathode plate inside the electrolytic cell. The power adjustment unit employs PWM pulse width modulation technology to dynamically adjust the ultrasonic output power based on influent water quality parameters (such as hardness and TDS value) fed back from the central intelligent control module. The power adjustment range is 5W-30W with an adjustment accuracy of 1W. When high influent hardness is detected, the output power is automatically increased to enhance the anti-scaling effect. The frequency matching unit incorporates an impedance matching circuit. By adjusting the parameters of the variable resistor and capacitor, the ultrasonic emission frequency is kept matched with the resonant frequency of scale formation, with an impedance matching error not exceeding 5%. This ensures that the ultrasonic energy can accurately act on scale crystallization, inhibiting scale deposition on the cathode plate surface and simultaneously peeling off existing thin scale, extending the service life of the electrodes and ion exchange membranes, and ensuring long-term efficient operation of the electrolyzer.

[0031] Preferably, the central intelligent control module includes: a data receiving and processing unit, an optimized database storage unit, a control command generation unit, and a feedback adjustment unit; the data receiving and processing unit performs analog-to-digital conversion and filtering on the parameter signals transmitted by the water quality sensing module; the optimized database storage unit pre-stores the mapping relationship between different water quality parameters and electrolysis parameters; the control command generation unit generates control signals based on user needs and real-time water quality data; and the feedback adjustment unit receives the product water quality detection signal and dynamically corrects the control parameters.

[0032] Specifically, the central intelligent control module, as the core control unit of the system, receives and processes analog signals transmitted from the water quality multi-parameter sensing module through a 12-bit precision ADC analog-to-digital converter module at a sampling rate of 1kHz. The converted digital signal undergoes moving average filtering with a filtering window of 10 sampling points to effectively remove random interference and ensure the accuracy of water quality parameter data. Simultaneously, it receives operating status feedback signals from each module via a UART serial port at a baud rate of 9600bps. The optimized database storage unit uses an 8GB SD card as the storage medium, pre-stored with over 100,000 sets of mapping data between different water quality parameters (TDS value, temperature, pH value) and corresponding optimal electrolysis parameters (current density, pulse frequency, ultrasonic power, etc.). It supports self-learning updates based on the "influent water quality - control parameters - product water results" data recorded during system operation, with the update cycle being automatic after each run. The control command generation unit is based on a 32-bit ARM Cortex-M4 core MCU with a main frequency of 168MHz. It combines user-input water production mode commands via the human-machine interface with real-time water quality data, calls the mapping relationships in the optimization database, and generates control commands through logical operations. The command output delay is no more than 50ms, ensuring real-time control. The feedback adjustment unit receives real-time data on the pH and ORP values ​​of the weakly alkaline water collected by the water quality detection unit. It compares this data with the target parameters to calculate the deviation. A PID algorithm is used to dynamically fine-tune control parameters such as electrolysis current, pulse frequency, and ultrasonic power. The current fine-tuning step is 0.1A, the frequency fine-tuning step is 0.1Hz, and the power fine-tuning step is 1W, ensuring that the water production parameters remain stable within the target range. Simultaneously, complete data from each run is recorded to the storage unit, providing data support for the iterative updates of the optimization database.

[0033] Preferably, the multi-electrode plate electrolyzer module includes an electrolysis current density control model, the expression of which is: ; in, The electrolysis current density, The electrode reaction rate constant is... The total dissolved solids content of the influent. The inlet water temperature, To achieve the target product water pH value, The pH value of the influent. The distance between the plates is the distance between the plates. The permeability of the ion exchange membrane. The conductivity of the electrode surface is denoted as .

[0034] Specifically, the electrolysis current density control model is based on electrolysis reaction kinetics and water quality influences, combining Faraday's law of electrolysis and ion migration theory, considering the impact of influent water quality parameters on the electrolysis reaction rate, and incorporating the effect of electrode and membrane module structural parameters on current distribution, ultimately constructing a multi-factor coupled control model. The electrolysis current density needs to be positively correlated with the total dissolved solids content and temperature of the influent, as these directly affect the water's conductivity and ion migration rate; their nonlinear correlation is represented by a square root form. The pH difference between the target product water and the influent determines the driving force required for the electrolysis reaction; a logarithmic form characterizes the diminishing marginal effect of this difference on current density. The electrode spacing, ion exchange membrane permeability, and electrode surface conductivity constitute resistance terms; the larger the spacing, the lower the permeability, and the smaller the surface conductivity, the higher the required current density, hence these are included as denominator terms. The electrode reaction rate constant is determined based on the electrode material and electrolyte characteristics, ranging from 0.01 to 0.1; the electrode spacing is between 3 and 8 mm depending on the electrolytic cell structure design; the ion exchange membrane permeability is determined by the membrane material and thickness, ranging from 0.8 to 0.98; the electrode surface conductivity is determined based on the electrode coating material and cleanliness, ranging from 100 to 500 Siemens per meter. The implementation of this model involves the central intelligent control module receiving total dissolved solids content, temperature, and influent pH value from the multi-parameter water quality sensing module. Combined with the user-set target product water pH value, the module calculates the optimal electrolysis current density, which is then converted into control commands and sent to the programmable pulse power supply module to achieve precise control of the current density, ensuring efficient and stable electrolysis reaction targeting the desired product water parameters.

[0035] Preferably, the ultrasonic anti-scaling control module includes an ultrasonic anti-scaling power control model, the expression of which is: ; in, This refers to the ultrasonic output power. For power reference coefficient, The ultrasonic angular frequency, For the duration of electrolysis, This refers to the calcium ion concentration in the influent. This refers to the magnesium ion concentration in the influent. The sound wave attenuation coefficient, For water viscosity, For feedback adjustment coefficient, This represents the real-time pH value of the cathode chamber during electrolysis.

[0036] Specifically, the ultrasonic scale prevention power control model is based on the ultrasonic cavitation effect and scale formation mechanism, combined with the water hardness characteristics and pH change patterns during electrolysis, to construct a dynamic power control relationship. The ultrasonic scale prevention effect is directly related to the influent water hardness. The square term of the total dissolved solids content in the influent and the product term of calcium and magnesium ion concentrations accurately reflect the potential tendency for scale formation. Water viscosity and sound wave attenuation coefficient affect the transmission efficiency of ultrasonic energy, together forming the basic terms for power calculation. The periodic vibration characteristics of ultrasound are represented by a sine function, and the electrolysis duration determines the cumulative effect of scale prevention. The degree to which the pH value in the cathode chamber deviates from neutrality during electrolysis reflects the real-time rate of scale formation, which is incorporated into the model through an integral term to achieve dynamic feedback regulation. The power reference coefficient is determined based on the performance of the ultrasonic transducer, ranging from 0.5 to 2.0; the ultrasonic angular frequency is calculated from the ultrasonic frequency designed for the equipment, corresponding to 20 to 100 kHz; the sound wave attenuation coefficient is determined based on the water composition and temperature, ranging from 0.1 to 0.5 per meter; the water viscosity is determined based on relevant physical property data obtained from the inlet water temperature, ranging from 0.8 to 1.5 mPa·s; the feedback adjustment coefficient is determined through experimental calibration, ranging from 0.1 to 0.3. The implementation of this model involves the central intelligent control module collecting real-time data on the total dissolved solids content, calcium ion concentration, magnesium ion concentration, temperature, real-time pH value of the cathode chamber, and electrolysis duration of the inlet water. This data is then substituted into the model to calculate the required ultrasonic output power under the current operating conditions. A power adjustment command is sent to the ultrasonic anti-scaling control module, and through dynamic power adjustment, precise anti-scaling is achieved for water with different hardness levels, inhibiting scale deposition and peeling off existing thin scale.

[0037] Preferably, the programmable pulse power supply module includes a pulse duty cycle optimization model, the expression of which is: ; in, The pulse duty cycle. The target ORP weight coefficient, For the target product water ORP value, This is the influent ORP weighting coefficient. The influent ORP value. This is the water quality impact coefficient. The time decay coefficient, The reaction rate constant is... Electrolysis time, This refers to the number of anode plates. This represents the number of cathode plates.

[0038] Specifically, the pulse duty cycle optimization model is based on the principle of pulse electrolysis and the influence of water quality and electrode structure on electrolysis efficiency. It combines the required redox potential difference between the target product water and the influent to construct a multi-factor synergistic duty cycle calculation model. The pulse duty cycle must be positively correlated with the redox potential difference between the target product water and the influent. Weighting coefficients distinguish the importance of the target value from the initial value. The product of the total dissolved solids content of the influent and temperature reflects the electrolysis activity of the water, while the time decay coefficient and exponential term reflect the changing trend of the reaction rate during electrolysis, together constituting the constraint terms for duty cycle calculation. The ratio of the number of anode plates to cathode plates affects the overall efficiency of the electrode reaction and is included in the model as a correction term to adapt to different electrode structures. The target redox potential weighting coefficient and the influent redox potential weighting coefficient were determined through experimental calibration, with values ​​ranging from 0.3 to 0.7. The water quality influence coefficient was calibrated according to different water source types, with values ​​ranging from 0.01 to 0.1. The time decay coefficient and reaction rate constant were determined based on the electrolysis reaction kinetics, with values ​​ranging from 0.005 to 0.02 and 0.01 to 0.05, respectively. The number of anode plates and cathode plates was determined according to the electrolytic cell design, with a ratio ranging from 1:1 to 2:1. The model is implemented as follows: the central intelligent control module receives the user-set target redox potential, the influent redox potential collected by the water quality multi-parameter sensing module, the total dissolved solids content, and the temperature. Combining this with the electrode plate quantity parameters of the electrolytic cell and the current electrolysis time, the module calculates the optimal pulse duty cycle and sends a duty cycle adjustment command to the programmable pulse power supply module. By optimizing the pulse duty cycle, electrode polarization is reduced, electrolysis efficiency is improved, and electrode life is extended.

[0039] Preferably, the dual-channel water separation module includes a pH prediction model for weakly alkaline water, expressed as: ; in, To produce a weakly alkaline water with a suitable pH value, The pH value of the influent. The pH contribution coefficient of the electrolysis reaction. For current density, Electrolysis time, For film thickness, The ion diffusion coefficient is... The electrode surface area. For water flow rate, This is the water quality correction factor. The total dissolved solids content of the influent. The inlet water temperature, This refers to the ultrasonic power. This refers to the ultrasonic frequency.

[0040] Specifically, the pH prediction model for weakly alkaline water is based on the pH change mechanism of the electrolysis reaction, combined with the influence of ion migration, electrode reaction efficiency, and ultrasonic waves on water quality, constructing a multi-parameter coupled pH prediction relationship. The pH value of the produced weakly alkaline water consists of two parts: the initial pH value of the influent and the pH increment contributed by the electrolysis reaction. The contribution from the electrolysis reaction is positively correlated with current density and electrolysis time, and negatively correlated with electrode surface area and water flow rate. Membrane thickness and ion diffusion coefficient reflect the resistance to ion migration, and their influence on pH increment is reflected through an exponential term. The ratio of total dissolved solids content to temperature in the influent reflects the electrolysis potential of the water body, and the square root term of ultrasonic power and frequency reflects the promoting effect of ultrasonic waves on ion migration and reaction efficiency, together constituting the correction term for pH increment. The pH contribution coefficient of the electrolysis reaction is determined based on the electrode material and electrolysis reaction characteristics, with a value range of 0.5 to 2.0; the membrane thickness and ion diffusion coefficient are determined based on the ion exchange membrane specifications, with values ​​of 0.1 to 0.2 mm and 1 × 10⁻⁶ mm, respectively. -9 Up to 5×10 -9 The flow rate is measured in square meters per second; the electrode surface area is calculated based on the size and number of electrode plates, ranging from 0.01 to 0.1 square meters; the water flow rate is determined according to the system design parameters, ranging from 1 to 3 liters per minute; the water quality correction coefficient is determined through experimental calibration, ranging from 0.1 to 0.5. The model is implemented as follows: the central intelligent control module collects the influent pH value, total dissolved solids content, temperature, and water flow rate, and combines this with parameters such as the current electrolysis current density, electrolysis time, membrane thickness, electrode surface area, and ultrasonic power and frequency. These parameters are then substituted into the model to predict the pH value of the produced weakly alkaline water. The predicted value is compared with the target value, and if a deviation exists, the relevant control parameters are adjusted through the feedback adjustment unit to ensure that the pH value of the produced water remains stable within the target range.

[0041] like Figure 2As shown, the intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control operates in the following steps: First, the system receives the user-selected weakly alkaline water production mode command through a human-machine interface. The central intelligent control module parses the command and retrieves the corresponding target pH and ORP value ranges. Second, the inlet water passage is activated, allowing water to flow into the multi-parameter water quality sensing module. After activation, this module continuously collects the TDS, pH, and temperature physicochemical parameters of the inlet water, converts the collected analog signals into digital signals, and transmits them to the central intelligent control module. Third, the central intelligent control module calls upon the built-in electrolysis parameter optimization database, matches the real-time collected water quality parameters with the target production water parameters, and generates parameters including electrolysis current, pulse frequency, and ultrasonic power. The initial control parameter set includes the rate; the fourth step is that the central intelligent control module sends control commands to the programmable pulse power supply module and the ultrasonic anti-scaling control module to drive the multi-electrode plate electrolyzer module to start electrolysis, and at the same time receives the working status feedback signals of each module in real time; the fifth step is that during the electrolysis process, the real-time pH value and ORP value of the weak alkaline water are collected by the product water quality detection unit, and the detection data is fed back to the central intelligent control module. The module dynamically fine-tunes the control parameters according to the deviation between the feedback data and the target parameters; the sixth step is that when the product water parameters reach the target range and remain stable, the central intelligent control module controls the dual-channel separate water output module to open the weak alkaline water output channel, and at the same time records the water quality parameters, control parameters and product water results of this operation for optimization of database updates and iterations.

[0042] This intelligent ultra-low Hertz weakly alkaline water generation system, based on dynamic water quality sensing and adaptive control, captures key physicochemical properties of the influent in real time through a multi-parameter water quality sensing module. A central intelligent control module then calls upon a built-in optimization database to dynamically generate suitable electrolysis parameters based on user needs. A programmable pulse power supply module outputs precisely controlled ultra-low Hertz pulsed DC current. Combined with the flexible structural design of the multi-electrode plate electrolytic cell module, this system completely solves the problem of poor water quality adaptability in traditional equipment. Regardless of fluctuations in influent water quality parameters, it can stably produce weakly alkaline water that meets requirements. Simultaneously, an ultrasonic anti-scaling control module uses specific frequency ultrasound to suppress and remove scale, and combined with the pulsed electrolysis mode, reduces electrode polarization and oxidation reactions, significantly reducing wear and tear on core components and effectively extending the equipment's lifespan. This overcomes the shortcomings of traditional equipment, such as easy scaling and short lifespan of electrodes.

[0043] This invention utilizes a central intelligent control module that receives real-time water quality monitoring data from the product water via a feedback adjustment unit. This allows for dynamic fine-tuning of electrolysis parameters, ensuring consistency in key product water parameters and fundamentally improving upon the unstable water quality issues of traditional equipment. The dual-channel separation and collection module enables the separation and collection of weakly alkaline and acidic water, meeting diverse application needs and offering greater practicality compared to the limitations of traditional equipment with its single function. The entire system operates intelligently throughout the entire process of sensing, computation, control, and feedback, ensuring both the stability and safety of the product water quality and enhancing the equipment's adaptability to different water sources and usage requirements, comprehensively overcoming many shortcomings of traditional water electrolysis technology.

[0044] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," "link," and "fix" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0045] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various equivalent changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control, characterized in that, include: Water quality multi-parameter sensing module, multi-electrode plate electrolytic cell module, programmable pulse power supply module, ultrasonic anti-scaling and control module, central intelligent control module, dual-channel water quality separation module; The water quality multi-parameter sensing module is electrically connected to the central intelligent control module to collect the physicochemical parameters of the influent in real time and transmit them to the central intelligent control module. The multi-electrode plate electrolyzer module is connected to the water circuit of the water quality multi-parameter sensing module and electrically connected to the programmable pulse power supply module. It is used to receive the pre-treated water flow and complete the electrolysis reaction under the action of calibrated electrical energy. The programmable pulse power supply module is controlled by the central intelligent control module and is used to output ultra-low Hertz pulse DC power with adjustable amplitude and pulse width. The ultrasonic anti-scaling control module is coupled to the outside of the multi-electrode plate electrolyzer module and electrically connected to the central intelligent control module. It is used to emit ultrasonic waves of a calibrated frequency into the electrolyzer. The central intelligent control module has a built-in electrolysis parameter optimization database, which is used to receive data from the sensing module, parse user commands, and generate optimized control signals. The dual-channel water separation module is connected to the water circuit of the multi-electrode plate electrolyzer module. It is used to collect and store the weakly alkaline water and acidic water generated by electrolysis, respectively. Each module transmits signals and allows material flow according to functional logic through water pipes and electrical circuits.

2. The intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control according to claim 1, characterized in that, The multi-electrode plate electrolytic cell module includes: a parallel array electrode unit, an ion exchange membrane separation unit, an electrode spacing adjustment unit, and a chamber sealing and protection unit; the parallel array electrode unit is composed of alternating titanium-plated platinum anode plates and stainless steel cathode plates, with no less than three sets of electrodes distributed at equal intervals; the ion exchange membrane separation unit is disposed between adjacent electrodes for selective permeation of anions and cations and separation to form independent cathode and anode chambers; the electrode spacing adjustment unit is connected to the electrode fixing bracket through a threaded transmission mechanism, and the distance between adjacent electrodes can be changed through mechanical adjustment; the chamber sealing and protection unit uses fluororubber seals embedded in the interface of the electrolytic cell shell to isolate and seal the chamber from the external environment through a compression structure.

3. The intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control according to claim 1, characterized in that, The programmable pulse power supply module includes: a DC-DC conversion unit, a pulse waveform generation unit, a parameter adjustment unit, and an overload protection unit. The DC-DC conversion unit converts AC mains power into stable DC power, and filters out noise interference. The pulse waveform generation unit generates ultra-low Hertz pulse signals through programmable logic devices, and the pulse period and duty cycle can be flexibly adjusted. The parameter adjustment unit receives instructions from the central intelligent control module and precisely controls the amplitude, pulse width, and polarity of the pulse signal. The overload protection unit monitors the output current and voltage in real time, and automatically cuts off the circuit when the detected value exceeds a preset threshold to prevent damage to the module and the electrolytic cell.

4. The intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control according to claim 1, characterized in that, The ultrasonic anti-scaling control module includes: a high-frequency oscillation unit, a transducer coupling unit, a power adjustment unit, and a frequency matching unit. The high-frequency oscillation unit generates a calibrated frequency band electrical signal through an oscillation circuit, providing the energy basis for ultrasonic wave transmission. The transducer coupling unit converts the electrical signal into mechanical vibration, and the energy is transferred by tightly adhering to the electrolytic cell shell through a coupling agent. The power adjustment unit dynamically adjusts the ultrasonic output power based on the water quality parameter feedback signal. The frequency matching unit adjusts the oscillation frequency through an impedance matching circuit to ensure that the ultrasonic frequency and the resonant frequency of the scale are matched.

5. The intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control according to claim 1, characterized in that, The central intelligent control module includes: a data receiving and processing unit, an optimized database storage unit, a control command generation unit, and a feedback adjustment unit. The data receiving and processing unit performs analog-to-digital conversion and filtering on the parameter signals transmitted by the water quality sensing module. The optimized database storage unit pre-stores the mapping relationship between different water quality parameters and electrolysis parameters. The control command generation unit generates control signals based on user needs and real-time water quality data. The feedback adjustment unit receives the product water quality detection signal and dynamically corrects the control parameters.

6. The intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control according to claim 1, characterized in that, The multi-electrode plate electrolytic cell module includes an electrolytic current density control model, the expression of which is: ； in, The electrolysis current density, The electrode reaction rate constant is... The total dissolved solids content of the influent. The inlet water temperature, To achieve the target product water pH value, The pH value of the influent. The distance between the plates is the distance between the plates. The permeability of the ion exchange membrane. The conductivity of the electrode surface is denoted as .

7. The intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control according to claim 1, characterized in that, The ultrasonic anti-scaling control module includes an ultrasonic anti-scaling power control model, the expression of which is: ； in, This refers to the ultrasonic output power. For power reference coefficient, The ultrasonic angular frequency, For the duration of electrolysis, This refers to the calcium ion concentration in the influent. This refers to the magnesium ion concentration in the influent. The sound wave attenuation coefficient, For water viscosity, For feedback adjustment coefficient, This represents the real-time pH value of the cathode chamber during electrolysis.

8. The intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control according to claim 1, characterized in that, The programmable pulse power supply module includes a pulse duty cycle optimization model, the expression of which is: ； in, The pulse duty cycle. The target ORP weight coefficient, For the target product water ORP value, This is the influent ORP weighting coefficient. The influent ORP value. This is the water quality impact coefficient. The time decay coefficient, The reaction rate constant is... Electrolysis time, This refers to the number of anode plates. This represents the number of cathode plates.

9. The intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control according to claim 1, characterized in that, The dual-channel water separation module includes a pH prediction model for weakly alkaline water, expressed as follows: ； in, To produce a weakly alkaline water with a suitable pH value, The pH value of the influent. The pH contribution coefficient of the electrolysis reaction. For current density, Electrolysis time, For film thickness, The ion diffusion coefficient is... The electrode surface area. For water flow rate, This is the water quality correction factor. The total dissolved solids content of the influent. The inlet water temperature, This refers to the ultrasonic power. This refers to the ultrasonic frequency.

10. The intelligent ultra-low Hertz weakly alkaline water generation system based on dynamic water quality sensing and adaptive control according to any one of claims 1-9, characterized in that, The system operates in the following steps: First, it receives the user's selected weakly alkaline water production mode command through the human-machine interface. The central intelligent control module parses the command and retrieves the corresponding target pH and ORP value ranges. Second, it activates the inlet water passage, allowing water to flow into the multi-parameter water quality sensing module. This module continuously collects the TDS, pH, and temperature physicochemical parameters of the inlet water, converts the collected analog signals into digital signals, and transmits them to the central intelligent control module. Third, the central intelligent control module calls upon its built-in electrolysis parameter optimization database, matches the real-time collected water quality parameters with the target production water parameters, and generates an initial control parameter set including electrolysis current, pulse frequency, and ultrasonic power. Fourth, ... The central intelligent control module sends control commands to the programmable pulse power supply module and the ultrasonic anti-scaling control module to drive the multi-electrode plate electrolyzer module to start electrolysis. Simultaneously, it receives real-time feedback signals from each module's operating status. Fifth, during electrolysis, the product water quality detection unit collects real-time pH and ORP values ​​of the weakly alkaline water and feeds the data back to the central intelligent control module. The module dynamically fine-tunes the control parameters based on the deviation between the feedback data and the target parameters. Sixth, once the product water parameters reach the target range and remain stable, the central intelligent control module controls the dual-channel separate water output module to open the weakly alkaline water output channel. Simultaneously, it records the water quality parameters, control parameters, and product water results of this operation for optimizing database updates.

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