Ultrasonic water treatment equipment control method and system based on variable-frequency vibration waves

Abstract

The invention relates to the technical field of water treatment equipment, in particular to an ultrasonic water treatment equipment control method and system based on variable-frequency vibration waves. According to the method, based on preset fluid working condition parameters, ultrasonic frequency conversion vibration wave signals covering multiple frequency bands are dynamically generated, and a vibrator array is driven to generate a composite sound field; a cavitation effect and an activation effect are synchronously excited in a fluid medium through variable-frequency vibration wave signals, so that physical form depolymerization and surface charge distribution change of scale forming substances occur; a shearing effect is formed on a fluid-pipe wall boundary layer, an attached state biological membrane structure is stripped, and the microscopic binding force of a crystallized scale body is loosened; monitoring the dispersion degree of scale-forming substances in the fluid and the state of a boundary layer, and adjusting the frequency band combination and energy distribution of variable-frequency vibration waves to maintain scale inhibition; and continuously optimizing the frequency conversion strategy and the sound field intensity according to the feedback data of the scale inhibition maintenance state. Through intelligent multi-band frequency conversion control of the ultrasonic water treatment equipment, efficient and environment-friendly water treatment and scale prevention effects are realized.

Description

Technical Field

[0001] This invention relates to the field of water treatment equipment technology, and in particular to a control method and system for ultrasonic water treatment equipment based on variable frequency vibration waves. Background Technology

[0002] Traditional water treatment technologies primarily rely on chemical agents (such as scale inhibitors and bactericides) or mechanical cleaning to suppress scaling and biofilm formation. However, chemical methods are prone to secondary pollution, agent residues, and microbial resistance, while mechanical cleaning requires shutdown and disassembly, resulting in low efficiency and high costs. In recent years, ultrasonic physical descaling technology has gained attention due to its environmental friendliness and non-invasiveness. However, existing technologies mostly use fixed-frequency ultrasound, which is difficult to adapt to complex and variable fluid conditions, leading to uneven cavitation effect distribution and unstable scale inhibition. Especially for scale-forming substances with different compositions (such as CaCO3 and biofilms), a single frequency band cannot simultaneously excite optimal cavitation, activation, and shearing effects, and lacks a real-time feedback adjustment mechanism, easily resulting in wasted sound field energy or local scale inhibition failure. In addition, traditional ultrasonic equipment is insufficient in recognizing the dynamic scaling state of the pipe boundary layer and cannot accurately match the resonant frequency and energy ratio required for scale removal, affecting long-term scale prevention. In view of this, this invention proposes a control method and system for ultrasonic water treatment equipment based on variable frequency vibration waves. Summary of the Invention

[0003] This invention overcomes the shortcomings of the prior art and provides a control method and system for ultrasonic water treatment equipment based on variable frequency vibration waves.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] The first aspect of this invention discloses a control method for an ultrasonic water treatment device based on variable frequency vibration waves, comprising the following steps:

[0006] Based on preset fluid operating parameters, ultrasonic frequency conversion vibration wave signals covering multiple frequency bands are dynamically generated to drive the oscillator array to generate a composite sound field.

[0007] The variable frequency vibration wave signal synchronously excites cavitation and activation effects in the fluid medium, causing the scale-forming substances to undergo physical depolymerization and change the surface charge distribution.

[0008] By utilizing the shearing effect formed by variable frequency vibration waves at the fluid-pipe wall boundary layer, the attached biofilm structure is peeled off and the micro-binding force of crystalline scale is loosened.

[0009] Real-time monitoring of the dispersion of scale-forming substances and boundary layer state in fluids, adaptive adjustment of frequency band combination and energy distribution of variable frequency vibration waves to maintain scale inhibition;

[0010] Based on feedback data on scale inhibition maintenance status, the frequency conversion strategy and sound field intensity are continuously optimized to achieve continuous scale prevention closed-loop control without the need for chemical reagents.

[0011] Preferably, based on preset fluid operating parameters, ultrasonic frequency conversion vibration wave signals covering multiple frequency bands are dynamically generated to drive the oscillator array to generate a composite sound field, specifically:

[0012] Based on real-time collected fluid temperature, flow rate and historical scaling tendency data, the dominant frequency response characteristics of scaling substances and boundary layer attenuation coefficient are extracted to generate a scaling characteristic frequency spectrum.

[0013] Based on the distribution of the main resonant frequency band in the characteristic frequency spectrum of the scaling, the high-energy cavitation frequency band and the low-frequency activation frequency band are dynamically divided, and the spectral gap compensation threshold is determined based on fluid viscosity compensation; wherein, the high-energy cavitation frequency band is the frequency range of 28 kHz to 50 kHz, and the low-frequency activation frequency band is the frequency range of 15 kHz to 28 kHz.

[0014] The high-energy cavitation frequency band and the low-frequency activation frequency band are synthesized according to the phase interference suppression principle to form an anti-interference frequency conversion base signal covering the entire target frequency band;

[0015] Based on the simulation data of the sound field distribution of the pipe cross section, the spatial position weighting coefficient of the oscillator is applied to the anti-interference frequency conversion base signal to generate the phase gradient modulation command to drive each oscillator, so that the array output energy is focused on the fluid core area;

[0016] The phase gradient modulation command is converted into the multi-channel driving voltage timing of the piezoelectric ceramic oscillator, which synchronously triggers the oscillator array to generate a composite frequency conversion sound field with spatial intensity uniformity.

[0017] Preferably, based on real-time collected fluid temperature, flow rate, and historical scaling tendency data, the dominant frequency response characteristics of scaling substances and the boundary layer attenuation coefficient are extracted to generate a scaling characteristic frequency spectrum, specifically:

[0018] By synchronously coupling the real-time collected fluid temperature and flow velocity in the time domain, the dynamic viscosity gradient and Reynolds number drift of the fluid medium are determined, and the initial feature vector of the fluid boundary layer oscillation mode is obtained.

[0019] Based on the scale deposition rate and composition distribution in historical scaling trend data, the crystal resonance fundamental frequency and harmonic attenuation envelope of the scaling material are extracted, and combined with the initial feature vector, a frequency response coupling matrix of multi-component scale is generated.

[0020] The frequency response coupling matrix is ​​subjected to intrinsic mode decomposition to separate the main resonant frequency band of the scale-forming material and its corresponding acoustic impedance abrupt change point. Based on the frequency shift characteristics of the acoustic impedance abrupt change point, the acoustic energy attenuation coefficient of the boundary layer in different frequency bands is determined.

[0021] Based on the cross-correlation between the main resonant frequency band and the sound energy attenuation coefficient, the energy contribution weights of each frequency band are dynamically weighted and superimposed, and the frequency band redundancy caused by sound field interference is eliminated, finally generating a scaling characteristic frequency spectrum that includes cavitation sensitive frequency bands and activation dominant frequency bands.

[0022] Preferably, the variable frequency vibration wave signal synchronously excites cavitation and activation effects in the fluid medium, causing the scale-forming substances to undergo physical morphological depolymerization and changes in surface charge distribution, specifically:

[0023] Based on the distribution of the main resonant frequency band in the characteristic frequency spectrum of scaling, the inherent resonant frequency and harmonic attenuation characteristics of the crystal structure of scaling substances are analyzed to determine the sensitive frequency band of cavitation effect and the dominant frequency band of activation effect.

[0024] Based on the high energy requirements of the cavitation sensitive frequency band and the low-frequency continuous characteristics of the activation frequency band, phase modulation technology is used to synthesize anti-interference waveforms. The high-energy cavitation frequency band generates transient high-pressure impacts to induce the collapse of cavitation bubble groups, while the low-frequency activation frequency band maintains steady-state vibrations to change the double-layer structure of the scale surface.

[0025] The micro-jet impact force generated during the collapse of cavitation bubbles depolymerizes the scale material into macroscopic aggregates. At the same time, the standing wave field of the activation frequency band disturbs the ion diffusion boundary layer, causing the Zeta potential on the surface of the depolymerized microparticles to reverse polarity.

[0026] By monitoring the changes in the electrophoretic mobility of microparticles in the fluid, the duty cycle and amplitude of the activation frequency band are dynamically adjusted to enhance the electrostatic repulsion between particles, and the van der Waals adsorption of residual flocs is further destroyed by the second harmonic component of the high-energy cavitation frequency band.

[0027] Preferably, the shearing effect formed by the variable frequency vibration wave at the fluid-pipe wall boundary layer is used to peel off the attached biofilm structure and loosen the microscopic binding force of the crystalline scale, specifically:

[0028] By exciting the viscous wave vibration at the pipe wall-fluid interface using the low-frequency shear mode of the variable frequency vibration wave, the abrupt change characteristics of the acoustic reflection phase in the biofilm attachment area are extracted simultaneously.

[0029] Based on the phase abrupt change characteristics, the weak binding interface between the biofilm and the tube wall is identified, and the shear frequency band is dynamically adjusted so that the resonant frequency of the weak binding interface between the biofilm and the tube wall matches the interface peeling threshold.

[0030] The high-frequency vibration component generates vortex shear force in the boundary layer, which acts directionally on the weak bonding interface. At the same time, the periodic tension fluctuation formed by the low-frequency standing wave is superimposed, causing fatigue fracture of the polysaccharide chain in the biomembrane substrate.

[0031] The acoustic scattering signal of microcracks at the interface of crystalline scale is captured in real time by ultrasonic echo spectrum analysis. Based on the frequency deviation characteristics of the scattering signal, the pulse interval and duty cycle of the high-frequency vibration component are dynamically optimized so that the shear force is concentrated on the microcrack propagation front.

[0032] By combining the acoustic conductivity parameters of the pipe wall material with the difference in Young's modulus of the scale, the frequency energy ratio of the shear effect is adaptively adjusted to form a selective resonant peeling effect at the scale-pipe wall interface.

[0033] Preferably, the dispersion of scale-forming substances and the boundary layer state in the fluid are monitored in real time, and the frequency band combination and energy distribution of the variable frequency vibration wave are adaptively adjusted to maintain scale inhibition, specifically:

[0034] The acoustic backscattering intensity distribution of microparticles in the fluid was obtained in real time by ultrasonic scattering spectrum analysis, and the particle size gradient characteristics and dispersion uniformity index of scale-forming material agglomerates were extracted.

[0035] Based on the time-frequency distortion characteristics of boundary layer ultrasonic echo signals, the delamination progress and residual bonding strength of the attached scale layer are analyzed to generate a dynamic scale inhibition demand matrix.

[0036] Based on the particle size gradient characteristics and dispersion uniformity index, the energy attenuation compensation coefficient of the cavitation effect-dominant frequency band is determined. At the same time, combined with the layering and stripping progress in the dynamic scale inhibition demand matrix, the proportion of the standing wave field duration in the low-frequency activation frequency band is optimized.

[0037] The sound pressure distribution cloud map of the pipe section is reconstructed in real time using acoustic field interferometric imaging technology to identify the energy void region in the fluid core area and the supersaturated sound pressure region in the boundary layer, and the phase gradient modulation command of the oscillator array is dynamically corrected to balance the spatial distribution of the sound field.

[0038] Based on the correlation between residual bonding strength and sound pressure distribution cloud map, a high-frequency narrow pulse band is dynamically inserted into the characteristic frequency spectrum of scaling to suppress microcrack propagation and reduce the proportion of energy redundancy bands in the dispersed area.

[0039] Based on the real-time updated dispersion uniformity index and layering peeling progress feedback data, the switching timing and energy weight allocation coefficient of the closed-loop adjustment frequency band combination are used to achieve dynamic balance maintenance of scale inhibition efficiency.

[0040] Preferably, based on feedback data of the scale inhibition maintenance state, the frequency conversion strategy and sound field intensity are continuously optimized to achieve continuous scale prevention closed-loop control without chemical reagents, specifically:

[0041] Based on the real-time acquired dispersion uniformity index and layering stripping progress data, a scale inhibition efficiency decay model is established to predict the remaining effective duration of the current frequency conversion strategy.

[0042] The sound pressure attenuation gradient of each cross section of the pipe is extracted by sound field interferometric imaging technology, and the sound field intensity compensation coefficient is determined by combining the dynamic change of fluid viscosity.

[0043] Based on the product relationship between the remaining effective duration and the sound field intensity compensation coefficient, the time-effect weighting factor of the frequency conversion strategy is generated.

[0044] By utilizing the periodic deposition characteristics in historical scaling tendency data, a scaling prevention demand fluctuation curve in the time dimension is constructed, and the time-effect weighting factor is matched and calibrated with the phase of the curve.

[0045] Based on the matching results, anti-deposition enhancement frequency bands are dynamically inserted into the scaling characteristic frequency spectrum, and the duration ratio of each frequency band is adjusted to form a time-varying frequency conversion strategy.

[0046] By monitoring the impedance spectrum of the oscillator array in real time, the aging and drift characteristics of piezoelectric ceramics are identified, and equipment state compensation parameters are embedded in the phase gradient modulation command.

[0047] The optimized frequency conversion strategy and the compensated sound field intensity parameters are input into the composite sound field generation module to form a closed-loop control command flow aimed at maximizing scale inhibition efficiency, thereby achieving continuous self-optimization of scale inhibition effectiveness.

[0048] The second aspect of the present invention discloses a control system for an ultrasonic water treatment device based on variable frequency vibration waves. The control system includes a memory and a processor. The memory stores a program for a control method of an ultrasonic water treatment device based on variable frequency vibration waves. When the program for the control method of an ultrasonic water treatment device based on variable frequency vibration waves is executed by the processor, the steps of the control method of an ultrasonic water treatment device based on variable frequency vibration waves described in any one of the present invention are implemented.

[0049] This invention addresses the technical deficiencies in the prior art and offers the following advantages: By dynamically generating a composite sound field, it simultaneously excites cavitation, activation, and shearing effects, which can decompose scale into aggregates, change the surface charge of particles to prevent re-aggregation, and effectively remove deposits from pipe walls; through real-time monitoring and adaptive adjustment, the system can precisely maintain the optimal scale inhibition state and continuously improve scale prevention efficiency through closed-loop optimization; the entire process is based entirely on physical action, requiring no chemical agents, thus avoiding secondary pollution and improving the stability and durability of the treatment effect, making it suitable for various industrial water treatment scenarios. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained from these drawings without creative effort.

[0051] Figure 1 This is the overall flowchart of the control method for this ultrasonic water treatment equipment;

[0052] Figure 2 This is a partial flowchart of the control method for this ultrasonic water treatment equipment;

[0053] Figure 3 This is a system block diagram of the control system for this ultrasonic water treatment equipment. Detailed Implementation

[0054] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0055] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0056] like Figure 1 As shown, the first aspect of this invention discloses a control method for an ultrasonic water treatment device based on variable frequency vibration waves, comprising the following steps:

[0057] S102. Based on preset fluid operating parameters, dynamically generate ultrasonic frequency conversion vibration wave signals covering multiple frequency bands to drive the oscillator array to generate a composite sound field.

[0058] S104. The cavitation effect and activation effect are synchronously excited in the fluid medium by the frequency-converted vibration wave signal, causing the scale-forming substances to undergo physical depolymerization and change the surface charge distribution.

[0059] S106. Utilizing the shearing effect formed by variable frequency vibration waves in the fluid-pipe wall boundary layer, the attached biofilm structure is peeled off and the micro-binding force of crystalline scale is loosened.

[0060] S108. Real-time monitoring of the dispersion of scale-forming substances and boundary layer status in fluid, adaptively adjusting the frequency band combination and energy distribution of variable frequency vibration waves to maintain scale inhibition.

[0061] S110: Based on feedback data of scale inhibition maintenance status, continuously optimize frequency conversion strategy and sound field intensity to achieve continuous scale prevention closed-loop control without chemical reagents.

[0062] It should be noted that this invention achieves efficient and environmentally friendly scale prevention in water treatment through intelligent multi-band variable frequency control ultrasonic water treatment equipment. Specifically, by dynamically generating a composite sound field, it simultaneously excites cavitation, activation, and shearing triple effects, which can decompose scale into aggregates, change the surface charge of particles to prevent re-aggregation, and effectively remove deposits from pipe walls. Through real-time monitoring and adaptive adjustment, the system can precisely maintain the optimal scale inhibition state and continuously improve scale prevention efficiency through closed-loop optimization. The entire process is based entirely on physical action, requiring no chemical agents, which not only avoids secondary pollution but also improves the stability and durability of the treatment effect, making it suitable for various industrial water treatment scenarios.

[0063] Preferably, based on preset fluid operating parameters, ultrasonic frequency conversion vibration wave signals covering multiple frequency bands are dynamically generated to drive the oscillator array to generate a composite sound field, such as... Figure 2 As shown, specifically:

[0064] S202. Based on real-time collected fluid temperature, flow rate and historical scaling tendency data, extract the main frequency response characteristics of scaling substances and boundary layer attenuation coefficient to generate a scaling characteristic frequency spectrum.

[0065] S204. Based on the distribution of the main resonant frequency band in the scaling characteristic frequency spectrum, dynamically divide the high-energy cavitation frequency band and the low-frequency activation frequency band, and determine the spectral gap compensation threshold based on fluid viscosity compensation; wherein, the high-energy cavitation frequency band is the frequency range of 28 kHz to 50 kHz, and the low-frequency activation frequency band is the frequency range of 15 kHz to 28 kHz.

[0066] S206. The high-energy cavitation frequency band and the low-frequency activation frequency band are synthesized according to the phase interference suppression principle to form an anti-interference frequency conversion base signal covering the entire target frequency band.

[0067] It should be noted that when synthesizing the waveforms of the high-energy cavitation frequency band and the low-frequency activation frequency band, the phase difference between the two frequency bands is first adjusted (e.g., 90° to 150°) according to a preset phase interference suppression principle to avoid energy cancellation when the sound waves are superimposed. Then, digital signal modulation technology is used to apply short pulses (e.g., pulse width 50-200μs, duty cycle 30%-50%) to the high-energy cavitation frequency band to enhance the transient cavitation effect. Simultaneously, a continuous sine wave is applied to the low-frequency activation frequency band to maintain a stable activation effect. Finally, the waveforms of the two frequency bands are fused, and spectral gaps (e.g., in the 25-28kHz range) that may be caused by changes in fluid viscosity are dynamically compensated for, ultimately generating an anti-interference frequency conversion base signal covering the entire target frequency band, ensuring uniform energy distribution in the sound field without significant valley attenuation.

[0068] S208. Based on the simulation data of the sound field distribution of the pipe cross section, the spatial position weighting coefficient of the oscillator is applied to the anti-interference frequency conversion substrate signal to generate a phase gradient modulation command to drive each oscillator, so that the array output energy is focused on the fluid core area; wherein, the fluid core area refers to the central flow region inside the pipe that is ≥10% of the pipe diameter away from the pipe wall.

[0069] S210. The phase gradient modulation command is converted into the multi-channel driving voltage timing of the piezoelectric ceramic oscillator, and the oscillator array is synchronously triggered to generate a composite frequency conversion sound field with spatial intensity uniformity.

[0070] Preferably, based on real-time collected fluid temperature, flow rate, and historical scaling tendency data, the dominant frequency response characteristics of scaling substances and the boundary layer attenuation coefficient are extracted to generate a scaling characteristic frequency spectrum, specifically:

[0071] By synchronously coupling the real-time collected fluid temperature and flow velocity in the time domain, the dynamic viscosity gradient and Reynolds number drift of the fluid medium are determined, and the initial feature vector of the fluid boundary layer oscillation mode is obtained.

[0072] It should be noted that the real-time temperature and flow rate of the fluid are collected simultaneously. The dynamic viscosity value under the current operating conditions is calculated using the Andrade equation, and the Reynolds number is determined in conjunction with the pipe dimensions. The trend of the fluid flow state (laminar / turbulent) is judged based on the Reynolds number drift. Finally, the oscillation mode of the fluid-pipe wall interface is determined based on the viscosity gradient and Reynolds number change, and its characteristic frequencies (e.g., 18-25Hz) and attenuation coefficients are extracted to form an initial feature vector (e.g., [frequency, attenuation rate, vibration amplitude]) describing the dynamic characteristics of the boundary layer.

[0073] Based on the scale deposition rate and composition distribution in historical scaling trend data, the crystal resonance fundamental frequency and harmonic attenuation envelope of the scaling material are extracted, and combined with the initial feature vector, a frequency response coupling matrix of multi-component scale is generated.

[0074] The frequency response coupling matrix is ​​subjected to intrinsic mode decomposition to separate the main resonant frequency band of the scale-forming material and its corresponding acoustic impedance abrupt change point. Based on the frequency shift characteristics of the acoustic impedance abrupt change point, the acoustic energy attenuation coefficient of the boundary layer in different frequency bands is determined.

[0075] It should be noted that intrinsic mode decomposition is performed on the frequency response coupling matrix (e.g., the resonant characteristics of scale-forming substances such as CaCO3 and Fe2O3) to extract the main resonant frequency bands (e.g., 30-35kHz for CaCO3 and 37-41kHz for Fe2O3), and the acoustic impedance abrupt change points are identified (e.g., a 15% impedance increase at 34kHz). Then, based on the frequency shift of the abrupt change points (e.g., ±2kHz), the absorption characteristics of the boundary layer on sound waves are analyzed. Combined with sound pressure attenuation experimental data (e.g., 1.8dB / cm@35kHz), the sound energy attenuation coefficients for different frequency bands are determined (e.g., 0.5dB / cm attenuation in the low-frequency activation band 15-28kHz and 2.0dB / cm attenuation in the high-frequency cavitation band 28-50kHz).

[0076] Based on the cross-correlation between the main resonant frequency band and the sound energy attenuation coefficient, the energy contribution weights of each frequency band are dynamically weighted and superimposed, and the frequency band redundancy caused by sound field interference is eliminated, finally generating a scaling characteristic frequency spectrum that includes cavitation sensitive frequency bands and activation dominant frequency bands.

[0077] In the case of circulating water treatment in a heating system, taking the operating conditions of DN200 pipe diameter, 40℃ water temperature, and 1.5m / s flow velocity as an example:

[0078] Real-time fluid temperature (40℃) and flow velocity (1.5 m / s) were collected, and combined with historical scaling data (calcium carbonate deposition rate 0.2 mm / month), the dynamic viscosity gradient (1.02 mPa·s) and Reynolds number shift (Re = 12,500) were determined. By analyzing the scale composition (e.g., 85% CaCO3, 15% Fe2O3), the crystal resonant fundamental frequencies were extracted (CaCO3 main resonant peak 32 kHz ± 2 kHz, harmonic attenuation slope -8 dB / oct; Fe2O3 secondary peak 38 kHz ± 3 kHz), generating a multi-component frequency response coupling matrix. Through intrinsic mode decomposition, the main resonant frequency bands (30-35 kHz, 37-41 kHz) and the acoustic impedance abrupt change point (impedance jump of 15% at 34 kHz) were separated, and the boundary layer acoustic attenuation coefficient (attenuation rate of 1.8 dB / cm in the 35 kHz band) was determined. After dynamic weighting of energy, a scaling characteristic frequency spectrum is generated (cavitation sensitive frequency band: 32-36kHz, 38-42kHz; activation dominant frequency band: 18-25kHz).

[0079] The system dynamically divides the high-energy cavitation frequency band (32-36kHz) and the low-frequency activation frequency band (22kHz), and determines the spectral gap compensation threshold (compensation +3dB at 28kHz) based on viscosity compensation. Anti-interference waveforms are synthesized using the phase interference suppression principle: a square wave with a pulse width of 100μs and a duty cycle of 40% is applied to the cavitation frequency band, while a continuous sine wave is applied to the activation frequency band. The phase difference between the two bands is set to 120° to suppress valley superposition. Based on the simulated acoustic field data of the pipe cross-section (sound pressure in the core area must be >0.5MPa), spatial weighting coefficients are applied to the eight transducers (gain 1.2 for the center transducer and 0.8 for the edge transducers), generating a phase gradient modulation command (phase delay of 15° between adjacent transducers). This is ultimately converted into a multi-channel driving voltage (peak voltage 120Vpp for the cavitation frequency band and 80Vpp for the activation frequency band), driving the piezoelectric ceramic transducer array to output a spatially balanced composite sound field.

[0080] Preferably, the variable frequency vibration wave signal synchronously excites cavitation and activation effects in the fluid medium, causing the scale-forming substances to undergo physical morphological depolymerization and changes in surface charge distribution, specifically:

[0081] Based on the distribution of the main resonant frequency band in the characteristic frequency spectrum of scaling, the inherent resonant frequency and harmonic attenuation characteristics of the crystal structure of scaling substances are analyzed to determine the sensitive frequency band of cavitation effect and the dominant frequency band of activation effect.

[0082] Based on the high energy requirements of the cavitation sensitive frequency band and the low-frequency continuous characteristics of the activation frequency band, phase modulation technology is used to synthesize anti-interference waveforms. The high-energy cavitation frequency band generates transient high pressure (pressure range of 10-100MPa, duration on the order of 0.1-10μs) impact to induce the collapse of cavitation bubble groups, while the low-frequency activation frequency band maintains steady-state vibration to change the double electric layer structure on the scale surface.

[0083] It should be noted that the high energy requirement of the cavitation-sensitive frequency band refers to the need to use higher frequencies (such as 28-50kHz) and larger sound pressure levels (such as 0.5-1MPa) to generate a strong cavitation effect, while the low-frequency sustained characteristics of the activation frequency band refer to the use of lower frequencies (such as 15-28kHz) and a stable sound field (such as continuous waves) to maintain a long-term control effect on the surface charge of particles.

[0084] The micro-jet impact force generated during the collapse of cavitation bubbles depolymerizes the scale material into macroscopic aggregates. At the same time, the standing wave field of the activation frequency band disturbs the ion diffusion boundary layer, causing the Zeta potential on the surface of the depolymerized microparticles to reverse polarity.

[0085] By monitoring the changes in the electrophoretic mobility of microparticles in the fluid, the duty cycle and amplitude of the activation frequency band are dynamically adjusted to enhance the electrostatic repulsion between particles, and the van der Waals adsorption of residual flocs is further destroyed by the second harmonic component of the high-energy cavitation frequency band.

[0086] For example, in treating calcium carbonate (CaCO3) scale in a heating system (pipe diameter DN200, water temperature 40℃, flow rate 1.5m / s): First, based on the characteristic frequency spectrum of the scale (main resonance peak 32kHz), the cavitation-sensitive frequency band is determined to be 32-36kHz (for cavitation bubble collapse), and the activation-dominant frequency band is 22kHz (for charge modification). Then, a square wave with a pulse width of 100μs and a duty cycle of 40% is applied in the 32-36kHz frequency band to generate transient high pressure (peak sound pressure 0.8MPa), inducing the collapse of cavitation bubble groups. The micro-jet impact force depolymerizes CaCO3 agglomerates >200μm to <50μm. A continuous sine wave (sound pressure 0.3MPa) is then applied in the 22kHz frequency band to perturb the diffusion boundary layer through a standing wave field, causing the Zeta potential on the surface of the depolymerized particles to reverse from -15mV to -32mV. The electrophoretic mobility was monitored in real time (increasing from 0.3 to 0.5 μm·cm / V·s), and the duty cycle of the activation band was dynamically increased to 60% to enhance electrostatic repulsion. At the same time, a 64 kHz second harmonic (cavitation band harmonic) was superimposed to destroy the van der Waals adsorption of residual flocs, ultimately resulting in stable dispersion of calcium carbonate.

[0087] It should be noted that this invention not only achieves the deagglomeration and stripping of scale, but also inhibits the re-agglomeration of particles through charge regulation, thereby improving the scale prevention effect and maintaining long-term scale inhibition capability without the need for chemical agents.

[0088] Preferably, the shearing effect formed by the variable frequency vibration wave at the fluid-pipe wall boundary layer is used to peel off the attached biofilm structure and loosen the microscopic binding force of the crystalline scale, specifically:

[0089] Viscous wave vibration at the pipe wall-fluid interface is excited by the low-frequency shear mode (vibration wave in the frequency range of 15-28kHz) of the variable frequency vibration wave, and the acoustic reflection phase change characteristics of the biofilm attachment area are extracted simultaneously.

[0090] Based on the phase abrupt change characteristics, the weak bonding interface between the biofilm and the tube wall (a weak attachment layer with a bonding strength between the biofilm and the tube wall ≤ 0.5 MPa) is identified, and the shear frequency band is dynamically adjusted so that the resonant frequency of the weak bonding interface between the biofilm and the tube wall matches the interface peeling threshold.

[0091] It should be noted that by monitoring the phase abrupt changes of the reflected sound waves in real time (e.g., detecting a sudden drop in phase angle from 150° to 135°), the weak bonding interface between the biofilm and the tube wall is identified. Subsequently, based on the acoustic impedance characteristics of this interface, the shear band of the variable frequency vibration wave is adjusted (e.g., switching from the initial 20kHz to 25kHz to match the resonance characteristics of the weak bonding interface), and the sound pressure amplitude is optimized (e.g., increasing it to 0.3MPa), so that the vibration energy is precisely focused on the weak bonding interface until its peeling threshold (i.e., the critical frequency and energy combination at which the interface begins to loosen) is reached, thereby achieving efficient and selective peeling of the biofilm.

[0092] The vortex shear force generated in the boundary layer by the high-frequency vibration component (short pulse wave in the 28-50kHz frequency band) is directed to the weak bonding interface, while the periodic tension fluctuation formed by the low-frequency standing wave (continuous vibration wave in the 10-20kHz frequency band) is superimposed, causing fatigue fracture of the polysaccharide chain in the biomembrane substrate.

[0093] The acoustic scattering signal of microcracks at the interface of crystalline scale is captured in real time by ultrasonic echo spectrum analysis. Based on the frequency deviation characteristics of the scattering signal, the pulse interval and duty cycle of the high-frequency vibration component are dynamically optimized so that the shear force is concentrated on the microcrack propagation front.

[0094] By combining the acoustic conductivity parameters of the pipe wall material with the difference in Young's modulus of the scale, the frequency energy ratio of the shear effect is adaptively adjusted to form a selective resonant peeling effect at the scale-pipe wall interface.

[0095] It should be noted that the acoustic conductivity of the pipe wall material (e.g., 4.2 × 10⁻⁶ for carbon steel) is obtained. 6 The acoustic impedance difference between the scale (m / s) and the Young's modulus of the scale (e.g., 80 GPa for CaCO3) is calculated. Based on the impedance ratio, the optimal frequency band for resonant peeling is determined (e.g., 28 kHz is preferred for the interface between carbon steel pipe wall and CaCO3 scale), and the energy distribution is dynamically allocated (e.g., this frequency band accounts for 60% of the total energy, with the remaining frequency bands supplementing 40%). The interface peeling status is monitored in real time (e.g., changes in the echo spectrum), and the frequency is finely adjusted by ±2 kHz and the sound pressure by ±10% to maintain the resonance effect, concentrating the vibration energy on the scale-pipe wall interface to achieve selective peeling without damaging the pipe wall substrate.

[0096] In the treatment of mixed fouling of biofilm and calcium carbonate in DN200 heating pipes, the specific implementation process is as follows: First, viscous waves are excited on the pipe wall using a 20kHz low-frequency scan (sound pressure 0.2MPa). Based on the abrupt change in reflection phase (156° to 142°), the weakly bound interface of the biofilm (approximately 50μm thick) is identified. Subsequently, a composite mode of 35kHz high-frequency shear wave (pulse width 80μs, duty cycle 30%) and 18kHz low-frequency standing wave (continuous wave, sound pressure 0.15MPa) is dynamically switched to, causing the polysaccharide chains of the biofilm substrate to be subjected to vortex shear force (12N / m). 2Fracture under periodic tension (5Hz) was observed. Simultaneously, 40kHz ultrasonic echo monitoring was used to detect microcracks at the CaCO3 scale interface (scattered signal frequency deviation ≥3kHz), and the high-frequency pulse interval was adjusted in real-time (50-200μs) to focus energy on the crack propagation zone. Finally, the acoustic conductivity of the carbon steel pipe wall (4.2×10⁻⁶) was considered. 6 The difference between the m / s and the Young's modulus of CaCO3 (80 GPa) led to setting 28 kHz as the resonant stripping frequency (60% of the energy).

[0097] It should be noted that this invention utilizes low-frequency vibration to identify weak bonding interfaces and match the peeling threshold, combined with the synergistic effect of high-frequency vortex shear force and periodic tension fluctuations, to effectively destroy the biofilm substrate structure; at the same time, it precisely intervenes in the propagation of microcracks by dynamically optimizing vibration parameters, and achieves selective resonant peeling based on differences in material properties, thereby improving the efficiency of fouling removal without damaging the pipe wall, while inhibiting secondary deposition.

[0098] Preferably, the dispersion of scale-forming substances and the boundary layer state in the fluid are monitored in real time, and the frequency band combination and energy distribution of the variable frequency vibration wave are adaptively adjusted to maintain scale inhibition, specifically:

[0099] The acoustic backscattering intensity distribution of microparticles in the fluid was obtained in real time by ultrasonic scattering spectrum analysis, and the particle size gradient characteristics and dispersion uniformity index of scale-forming material agglomerates were extracted.

[0100] Based on the time-frequency distortion characteristics of boundary layer ultrasonic echo signals, the delamination progress and residual bonding strength of the attached scale layer are analyzed to generate a dynamic scale inhibition demand matrix.

[0101] It should be noted that by receiving ultrasonic echo signals reflected from the boundary layer (e.g., center frequency 5MHz), analyzing their time-domain broadening (e.g., increasing from 1.2μs to 1.8μs) and frequency-domain harmonic distortion (e.g., third harmonic amplification of 6dB), the layering state of the deposited scale is identified (e.g., 80μm of a 200μm thick scale layer has been peeled off). Secondly, based on the echo signal attenuation rate (e.g., -3dB / cm) and phase shift (e.g., 15° hysteresis), the residual adhesion strength of the scale layer is determined (e.g., decreasing from the initial 0.4MPa to 0.2MPa). Finally, the layering progress (e.g., 60% completion) and residual adhesion strength data are integrated according to weights to generate a dynamic scale inhibition demand matrix (e.g., demand levels are divided into 0-5, currently at level 3), which guides subsequent frequency band energy adjustments (e.g., increasing the proportion of low-frequency activation waves by 10% in the level 3 demand area).

[0102] Based on the particle size gradient characteristics and dispersion uniformity index, the energy attenuation compensation coefficient of the cavitation effect-dominant frequency band is determined. At the same time, combined with the layering and stripping progress in the dynamic scale inhibition demand matrix, the proportion of the standing wave field duration in the low-frequency activation frequency band is optimized.

[0103] It should be noted that, based on the particle size gradient characteristics measured by ultrasonic scattering spectrum (e.g., 20% of particles >50μm were detected) and the dispersion uniformity index (e.g., 0.85), the acoustic energy attenuation compensation coefficient for the cavitation frequency band (32-36kHz) is calculated (e.g., a compensation of +3dB to address large particle aggregation). Simultaneously, combined with the layered stripping progress in the dynamic scale inhibition demand matrix (e.g., demand level 3 corresponding to 60% completion), the proportion of the standing wave duration in the low-frequency activation frequency band (22kHz) is increased (from 30% to 45%) according to a preset mapping relationship (e.g., 5% standing wave duration adjustment for each demand level). Finally, by real-time monitoring of changes in the dispersion index (e.g., from 0.85 to 0.92), the compensation coefficient (±1dB) and the standing wave proportion (±5%) are dynamically fine-tuned to ensure a synergistic balance between cavitation fragmentation and activation dispersion.

[0104] The sound pressure distribution cloud map of the pipe cross section is reconstructed in real time using acoustic field interferometry imaging technology. The energy void region of the fluid core area (the weak sound field region with sound pressure below 0.3MPa in the pipe) and the supersaturated sound pressure region of the boundary layer (the local high pressure region with sound pressure exceeding 1.2MPa in the boundary layer) are identified. The phase gradient modulation command of the oscillator array is dynamically corrected to balance the spatial distribution of the sound field.

[0105] Based on the correlation between residual bonding strength and sound pressure distribution cloud map, a high-frequency narrow pulse band is dynamically inserted into the characteristic frequency spectrum of scaling to suppress microcrack propagation and reduce the proportion of energy redundancy frequency bands in the dispersed area; among them, the high-frequency narrow pulse band specifically refers to the 38-45kHz frequency band and intermittent sound waves with a pulse width of 50-100μs used for microcrack intervention.

[0106] Based on the real-time updated dispersion uniformity index and layering peeling progress feedback data, the switching timing and energy weight allocation coefficient of the closed-loop adjustment frequency band combination are used to achieve dynamic balance maintenance of scale inhibition efficiency.

[0107] In this embodiment, the specific implementation process in the DN200 heating pipe water treatment system is as follows: Backscattered signals are monitored in real time using an ultrasonic probe. When the proportion of CaCO3 aggregates with a particle size >50μm exceeds 15%, the system automatically enhances the energy of the 32-36kHz cavitation frequency band (increasing sound pressure from 0.5MPa to 0.8MPa). Simultaneously, based on the boundary layer echo delay (increasing by 0.8μs), residual scale on the pipe wall is identified, and the proportion of standing waves in the 22kHz activation frequency band is adjusted from 30% to 45%. If the acoustic imaging shows an energy void area in the lower part of the pipe (sound pressure...), the system...

[0108] If the pressure is <0.3MPa, adjust the phase delay of the bottom oscillator from 15° to 8° and insert a 40kHz narrow pulse (pulse width 50μs, duty cycle 20%) targeting the microcrack area. Update the dispersion index every 10 minutes (maintaining it at 90±2%) and dynamically balance the energy distribution of each frequency band (cavitation band accounts for 55%, activation band accounts for 35%, and high-frequency pulse accounts for 10%).

[0109] In summary, this invention utilizes ultrasonic scattering and echo analysis to dynamically track the dispersion state of scale-forming substances and the adhesion of the boundary layer. Based on real-time data, it automatically adjusts the frequency band combination and energy distribution, ensuring sufficient cavitation in the fluid core region while precisely controlling the activation effect of the boundary layer. Simultaneously, through acoustic field interferometry imaging and closed-loop regulation, it effectively eliminates uneven energy distribution and provides targeted intervention for key aspects such as microcrack propagation. Ultimately, it achieves adaptive and balanced scale inhibition efficacy across the entire pipeline, extending the scale prevention cycle and improving treatment efficiency.

[0110] Preferably, based on feedback data of the scale inhibition maintenance state, the frequency conversion strategy and sound field intensity are continuously optimized to achieve continuous scale prevention closed-loop control without chemical reagents, specifically:

[0111] Based on the real-time acquired dispersion uniformity index and layering stripping progress data, a scale inhibition efficiency decay model is established to predict the remaining effective duration of the current frequency conversion strategy.

[0112] It should be noted that real-time monitoring data on dispersion uniformity index and stratification stripping progress are used as basic inputs, while historical data on scale inhibition performance trends are also integrated. Then, the influence of current operating parameters (such as fluid temperature, flow rate, and scale characteristics) on the scale inhibition effect is analyzed to determine the key influencing factors of performance decay and their weight relationships. Using machine learning algorithms or mathematical statistics methods, a decay curve of scale inhibition performance over time is fitted to establish a predictive model that reflects actual operating conditions.

[0113] The sound pressure attenuation gradient of each cross section of the pipe is extracted by sound field interferometric imaging technology, and the sound field intensity compensation coefficient is determined by combining the dynamic change of fluid viscosity.

[0114] It should be noted that, firstly, acoustic interference signals from different cross-sections of the pipe are acquired using an array of ultrasonic sensors. Time-of-flight ranging and phase analysis techniques are then used to reconstruct a spatial distribution map of the sound pressure (e.g., 0.5 MPa in the core region and 0.8 MPa in the boundary layer). Next, the sound pressure attenuation gradient for each region is calculated (e.g., 1.2 dB attenuation per meter along the flow direction), while simultaneously monitoring dynamic changes in fluid viscosity (e.g., from 1.0 mPa·s to 1.2 mPa·s). Then, combined with the measured attenuation gradient, a sound intensity compensation coefficient (e.g., 1.15 times) is determined. Finally, this coefficient is applied to the frequency conversion strategy, correspondingly increasing the driving voltage or duration proportion of the target frequency band (e.g., 32-36 kHz) to offset energy loss and maintain sound field uniformity.

[0115] Based on the product relationship between the remaining effective duration and the sound field intensity compensation coefficient, the time-effect weighting factor of the frequency conversion strategy is generated.

[0116] By utilizing the periodic deposition characteristics in historical scaling tendency data, a scaling prevention demand fluctuation curve in the time dimension is constructed, and the time-effect weighting factor is matched and calibrated with the phase of the curve.

[0117] Based on the matching results, anti-deposition enhancement frequency bands are dynamically inserted into the scaling characteristic frequency spectrum, and the duration ratio of each frequency band is adjusted to form a time-varying frequency conversion strategy.

[0118] By monitoring the impedance spectrum of the oscillator array in real time, the aging and drift characteristics of piezoelectric ceramics are identified, and equipment state compensation parameters are embedded in the phase gradient modulation command.

[0119] The optimized frequency conversion strategy and the compensated sound field intensity parameters are input into the composite sound field generation module to form a closed-loop control command flow aimed at maximizing scale inhibition efficiency, thereby achieving continuous self-optimization of scale inhibition effectiveness.

[0120] In the water treatment application of DN200 heating systems: when the dispersion uniformity index drops from 0.92 to 0.85 and the stratification stripping progress stagnates at 70%, a scale inhibition efficiency decay model is established to predict the remaining effective duration of the current 32-36kHz cavitation frequency band (e.g., only 8 hours left). Combining the daily scaling cycle curve constructed from historical data (the peak scaling period is from 14:00 to 16:00 daily), the time-effect weighting factor is matched with the peak demand phase, and a 42kHz anti-deposition frequency band (occupying 15% of the time) is dynamically inserted. At the same time, the driving voltage is compensated by 3% based on the oscillator impedance drift (+5Ω), and finally, an optimized frequency conversion command is generated (cavitation frequency band accounting for 50%, activation frequency band 35%, and anti-deposition frequency band 15%), achieving fully automatic scale inhibition control.

[0121] In summary, this invention can precisely adjust the treatment intensity according to the current scaling state and predictively adjust the anti-deposition frequency band to cope with the risk of periodic scaling, ultimately forming an adaptive anti-scaling control cycle that continuously maintains the best scaling inhibition effect without the need for chemical agents, extends equipment maintenance cycles, and improves treatment reliability.

[0122] In this embodiment, the ultrasonic water treatment equipment control method further includes the following steps:

[0123] When applying variable frequency shear vibration wave, the ultrasonic echo signal reflected from the pipe wall-biofilm interface is acquired simultaneously, and the time-frequency distribution characteristics of its phase change point are extracted as the initial input; whereby, variable frequency shear vibration wave refers to ultrasonic vibration that generates a directionally controllable shear force field at the fluid-pipe wall interface by dynamically adjusting the frequency (e.g., 15-50kHz) and waveform parameters (e.g., pulse width, duty cycle) to directionally peel off the attached dirt.

[0124] Based on the time-frequency distribution of the phase abrupt change point, the rate of change of the ratio of the real part to the imaginary part of the acoustic impedance during the biofilm peeling process is determined, and a dispersion characteristic drift trajectory characterizing the viscoelastic change is generated.

[0125] It should be noted that by analyzing the phase abrupt change points of the ultrasonic echo signal (e.g., detecting a sudden drop in phase from 150° to 120°), its time-frequency distribution characteristics (e.g., a 0.5 μs delay in the 18 kHz band) are extracted. Subsequently, based on acoustic impedance measurement technology, the rate of change of the ratio of the real part (reflecting elasticity) to the imaginary part (reflecting viscosity) of the acoustic impedance during biofilm peeling is determined (e.g., decreasing from an initial 1.2 to 0.8). Next, this rate of change is correlated with frequency to plot the dispersion characteristic curve (e.g., nonlinear attenuation in the 18-25 kHz range), and its drift trajectory is identified through curve fitting (e.g., the curvature extremum point appears at 22 kHz). Finally, combined with the biofilm dynamic peeling data (e.g., peeling rate of 0.1 mm / s), a dispersion characteristic drift trajectory reflecting the viscoelastic evolution is generated (e.g., the trajectory slope changes from +0.5 to -0.3).

[0126] Based on the curvature extrema of the dispersion drift trajectory, combined with the stress relaxation time constant of the biomembrane polysaccharide chain, the shear modulus gradient and storage modulus decay coefficient of the biomembrane cross-linked structure are inverted.

[0127] It should be noted that the curvature extrema (e.g., a peak at 22 kHz) are extracted from the dispersion characteristic drift trajectory. Combined with the known stress relaxation time constant of the biomembrane polysaccharide chains (e.g., 0.05 seconds), the dynamic mechanical parameters of the cross-linked structure are then inverted using an inversion algorithm (e.g., support vector regression). These parameters include the shear modulus gradient (e.g., decreasing from 5 kPa to 2 kPa along the thickness direction) and the storage modulus decay coefficient (e.g., a 15% decrease in modulus per 10 μm of exfoliation). Finally, the inversion results are cross-validated with real-time exfoliation data (e.g., changes in ultrasonic echo intensity), the model parameters are corrected, and a mechanical property curve reflecting the degree of weakening of the biomembrane structure is output.

[0128] Based on the cross-correlation between the shear modulus gradient and the storage modulus decay coefficient, the critical resonant frequency band that leads to the breakage of the biomembrane cross-linking network is located, and its frequency boundary fluctuation range is determined.

[0129] Using the critical resonant frequency band as the center frequency, an exponential frequency offset step sequence is constructed based on the frequency boundary fluctuation range. The scanning step size and dwell time are synchronously modulated to form an adaptive scanning strategy for the resonant frequency band that is designed to prevent damage to cross-linked structures.

[0130] It should be noted that, to address the issues of low peeling efficiency and poor targeting caused by the complex viscoelastic characteristics of biofilms in ultrasonic treatment, this embodiment analyzes the phase abrupt changes and dispersion characteristics of the interface echo in real time to identify the mechanical property attenuation law of the biofilm structure. Based on this, an optimal resonant frequency band scanning strategy is dynamically generated, thereby improving the efficiency of destroying the cross-linked network of the biofilm, ensuring that the peeling process precisely targets its mechanically weak points, while avoiding energy waste, ultimately achieving efficient and thorough removal of the biofilm without damaging the tube wall substrate.

[0131] In this embodiment, the ultrasonic water treatment equipment control method further includes the following steps:

[0132] By analyzing the difference in attenuation slope of multi-band ultrasonic echo signals, the acoustic absorption spectrum of non-fouling suspended matter in the fluid is extracted. Combined with time-frequency analysis, the characteristic absorption peak frequency bands of heterogeneous particles are separated, and a heterogeneous interference frequency band marker vector is generated.

[0133] Based on the heterogeneous interference frequency band marker vector, the penetration loss rate and scattering angle distribution of sound waves in each frequency band in the suspended matter group are determined, and the frequency domain energy loss weight of heterogeneous particles on the target scale inhibition frequency band is determined.

[0134] Based on the frequency domain energy loss weight, a wideband suppression wavelet is dynamically synthesized in the redundant region of the scaling characteristic frequency spectrum. Its frequency band coverage is matched with the heterogeneous interference frequency band marker vector, and its phase is orthogonal to the target scaling suppression frequency band to avoid waveform interference.

[0135] The suppression wavelet is loaded into the oscillator array drive signal, and the sound pressure recovery rate of the heterogeneous particle aggregation area is monitored in real time by acoustic field interferometry imaging. The wavelet amplitude is dynamically adjusted to compensate for the acoustic energy gap caused by parasitic dissipation.

[0136] Based on real-time interactive verification of sound pressure recovery rate data and scaling characteristic frequency spectrum, the frequency band boundary and energy ratio of the suppression wavelet are iteratively optimized to ensure that the absorption peak frequency band of heterogeneous particles is always at the minimum stagnation point of sound field energy, thus ensuring the dominance of the target scaling inhibition frequency band.

[0137] It should be noted that in practical applications, the presence of heterogeneous suspended matter (such as silt, organic particles, etc.) in the fluid can lead to ineffective dissipation of acoustic energy and attenuation of energy in the target scale inhibition frequency band. This embodiment intelligently identifies the acoustic characteristics of heterogeneous particles and dynamically generates suppression wavelets to accurately counteract the parasitic energy absorption of heterogeneous particles on the scale inhibition sound field, maintaining the sound pressure intensity of the target frequency band (such as the cavitation / activation frequency band). At the same time, the phase orthogonal design avoids signal interference, ensuring the stable performance of the main scale inhibition effect. Ultimately, this achieves efficient and long-lasting physical scale prevention in complex fluid environments, improving system adaptability.

[0138] like Figure 3 As shown, the second aspect of the present invention discloses an ultrasonic water treatment equipment control system 8 based on variable frequency vibration waves. The ultrasonic water treatment equipment control system includes a memory 60 and a processor 80. The memory 60 stores a program for an ultrasonic water treatment equipment control method based on variable frequency vibration waves. When the program for the ultrasonic water treatment equipment control method based on variable frequency vibration waves is executed by the processor 80, the steps of the ultrasonic water treatment equipment control method based on variable frequency vibration waves described in any one of the claims are implemented.

[0139] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0140] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0141] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0142] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0143] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0144] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A control method for ultrasonic water treatment equipment based on variable frequency vibration waves, characterized in that, Includes the following steps: Based on preset fluid operating parameters, ultrasonic frequency conversion vibration wave signals covering multiple frequency bands are dynamically generated to drive the oscillator array to generate a composite sound field. The variable frequency vibration wave signal synchronously excites cavitation and activation effects in the fluid medium, causing the scale-forming substances to undergo physical depolymerization and change the surface charge distribution. By utilizing the shearing effect formed by variable frequency vibration waves at the fluid-pipe wall boundary layer, the attached biofilm structure is peeled off and the micro-binding force of crystalline scale is loosened. Real-time monitoring of the dispersion of scale-forming substances and boundary layer state in fluids, adaptive adjustment of frequency band combination and energy distribution of variable frequency vibration waves to maintain scale inhibition; Based on feedback data on scale inhibition maintenance status, the frequency conversion strategy and sound field intensity are continuously optimized to achieve continuous scale prevention closed-loop control without the need for chemical reagents.

2. The control method for ultrasonic water treatment equipment based on variable frequency vibration waves according to claim 1, characterized in that, Based on preset fluid operating parameters, ultrasonic variable frequency vibration wave signals covering multiple frequency bands are dynamically generated to drive the oscillator array to generate a composite sound field, specifically: Based on real-time collected fluid temperature, flow rate and historical scaling tendency data, the dominant frequency response characteristics of scaling substances and boundary layer attenuation coefficient are extracted to generate a scaling characteristic frequency spectrum. Based on the distribution of the main resonant frequency band in the characteristic frequency spectrum of the scaling, the high-energy cavitation frequency band and the low-frequency activation frequency band are dynamically divided, and the spectral gap compensation threshold is determined based on fluid viscosity compensation; wherein, the high-energy cavitation frequency band is the frequency range of 28 kHz to 50 kHz, and the low-frequency activation frequency band is the frequency range of 15 kHz to 28 kHz. The high-energy cavitation frequency band and the low-frequency activation frequency band are synthesized according to the phase interference suppression principle to form an anti-interference frequency conversion base signal covering the entire target frequency band; Based on the simulation data of the sound field distribution of the pipe cross section, the spatial position weighting coefficient of the oscillator is applied to the anti-interference frequency conversion base signal to generate the phase gradient modulation command to drive each oscillator, so that the array output energy is focused on the fluid core area; The phase gradient modulation command is converted into the multi-channel driving voltage timing of the piezoelectric ceramic oscillator, which synchronously triggers the oscillator array to generate a composite frequency conversion sound field with spatial intensity uniformity.

3. The control method for ultrasonic water treatment equipment based on variable frequency vibration waves according to claim 2, characterized in that, Based on real-time collected fluid temperature, flow rate, and historical scaling tendency data, the dominant frequency response characteristics of scaling substances and the boundary layer attenuation coefficient are extracted to generate a scaling characteristic frequency spectrum, specifically: By synchronously coupling the real-time collected fluid temperature and flow velocity in the time domain, the dynamic viscosity gradient and Reynolds number drift of the fluid medium are determined, and the initial feature vector of the fluid boundary layer oscillation mode is obtained. Based on the scale deposition rate and composition distribution in historical scaling trend data, the crystal resonance fundamental frequency and harmonic attenuation envelope of the scaling material are extracted, and combined with the initial feature vector, a frequency response coupling matrix of multi-component scale is generated. The frequency response coupling matrix is ​​subjected to intrinsic mode decomposition to separate the main resonant frequency band of the scale-forming material and its corresponding acoustic impedance abrupt change point. Based on the frequency shift characteristics of the acoustic impedance abrupt change point, the acoustic energy attenuation coefficient of the boundary layer in different frequency bands is determined. Based on the cross-correlation between the main resonant frequency band and the sound energy attenuation coefficient, the energy contribution weights of each frequency band are dynamically weighted and superimposed, and the frequency band redundancy caused by sound field interference is eliminated, finally generating a scaling characteristic frequency spectrum that includes cavitation sensitive frequency bands and activation dominant frequency bands.

4. The control method for ultrasonic water treatment equipment based on variable frequency vibration waves according to claim 1, characterized in that, The variable frequency vibration wave signal synchronously excites cavitation and activation effects in the fluid medium, causing the scale-forming substances to undergo physical morphological depolymerization and changes in surface charge distribution, specifically: Based on the distribution of the main resonant frequency band in the characteristic frequency spectrum of scaling, the inherent resonant frequency and harmonic attenuation characteristics of the crystal structure of scaling substances are analyzed to determine the sensitive frequency band of cavitation effect and the dominant frequency band of activation effect. Based on the high energy requirements of the cavitation sensitive frequency band and the low-frequency continuous characteristics of the activation frequency band, phase modulation technology is used to synthesize anti-interference waveforms. The high-energy cavitation frequency band generates transient high-pressure impacts to induce the collapse of cavitation bubble groups, while the low-frequency activation frequency band maintains steady-state vibrations to change the double-layer structure of the scale surface. The micro-jet impact force generated during the collapse of cavitation bubbles depolymerizes the scale material into macroscopic aggregates. At the same time, the standing wave field of the activation frequency band disturbs the ion diffusion boundary layer, causing the Zeta potential on the surface of the depolymerized microparticles to reverse polarity. By monitoring the changes in the electrophoretic mobility of microparticles in the fluid, the duty cycle and amplitude of the activation frequency band are dynamically adjusted to enhance the electrostatic repulsion between particles, and the van der Waals adsorption of residual flocs is further destroyed by the second harmonic component of the high-energy cavitation frequency band.

5. The control method for ultrasonic water treatment equipment based on variable frequency vibration waves according to claim 1, characterized in that, By utilizing the shearing effect of variable frequency vibration waves at the fluid-pipe wall boundary layer, the attached biofilm structure is peeled off and the microscopic binding force of crystalline scale is loosened. Specifically: By exciting the viscous wave vibration at the pipe wall-fluid interface using the low-frequency shear mode of the variable frequency vibration wave, the abrupt change characteristics of the acoustic reflection phase in the biofilm attachment area are extracted simultaneously. Based on the phase abrupt change characteristics, the weak binding interface between the biofilm and the tube wall is identified, and the shear frequency band is dynamically adjusted so that the resonant frequency of the weak binding interface between the biofilm and the tube wall matches the interface peeling threshold. The high-frequency vibration component generates vortex shear force in the boundary layer, which acts directionally on the weak bonding interface. At the same time, the periodic tension fluctuation formed by the low-frequency standing wave is superimposed, causing fatigue fracture of the polysaccharide chain in the biomembrane substrate. The acoustic scattering signal of microcracks at the interface of crystalline scale is captured in real time by ultrasonic echo spectrum analysis. Based on the frequency deviation characteristics of the scattering signal, the pulse interval and duty cycle of the high-frequency vibration component are dynamically optimized so that the shear force is concentrated on the microcrack propagation front. By combining the acoustic conductivity parameters of the pipe wall material with the difference in Young's modulus of the scale, the frequency energy ratio of the shear effect is adaptively adjusted to form a selective resonant peeling effect at the scale-pipe wall interface.

6. The control method for ultrasonic water treatment equipment based on variable frequency vibration waves according to claim 1, characterized in that, Real-time monitoring of the dispersion of scale-forming substances and the boundary layer state in the fluid, and adaptive adjustment of the frequency band combination and energy distribution of the variable frequency vibration wave to maintain scale inhibition, specifically: The acoustic backscattering intensity distribution of microparticles in the fluid was obtained in real time by ultrasonic scattering spectrum analysis, and the particle size gradient characteristics and dispersion uniformity index of scale-forming material agglomerates were extracted. Based on the time-frequency distortion characteristics of boundary layer ultrasonic echo signals, the delamination progress and residual bonding strength of the attached scale layer are analyzed to generate a dynamic scale inhibition demand matrix. Based on the particle size gradient characteristics and dispersion uniformity index, the energy attenuation compensation coefficient of the cavitation effect-dominant frequency band is determined. At the same time, combined with the layering and stripping progress in the dynamic scale inhibition demand matrix, the proportion of the standing wave field duration in the low-frequency activation frequency band is optimized. The sound pressure distribution cloud map of the pipe section is reconstructed in real time using acoustic field interferometric imaging technology to identify the energy void region in the fluid core area and the supersaturated sound pressure region in the boundary layer, and the phase gradient modulation command of the oscillator array is dynamically corrected to balance the spatial distribution of the sound field. Based on the correlation between residual bonding strength and sound pressure distribution cloud map, a high-frequency narrow pulse band is dynamically inserted into the characteristic frequency spectrum of scaling to suppress microcrack propagation and reduce the proportion of energy redundancy bands in the dispersed area. Based on the real-time updated dispersion uniformity index and layering peeling progress feedback data, the switching timing and energy weight allocation coefficient of the closed-loop adjustment frequency band combination are used to achieve dynamic balance maintenance of scale inhibition efficiency.

7. The control method for ultrasonic water treatment equipment based on variable frequency vibration waves according to claim 1, characterized in that, Based on feedback data regarding the scale inhibition maintenance status, the frequency conversion strategy and sound field intensity are continuously optimized to achieve continuous scale prevention closed-loop control without the need for chemical reagents. Specifically: Based on the real-time acquired dispersion uniformity index and layering stripping progress data, a scale inhibition efficiency decay model is established to predict the remaining effective duration of the current frequency conversion strategy. The sound pressure attenuation gradient of each cross section of the pipe is extracted by sound field interferometric imaging technology, and the sound field intensity compensation coefficient is determined by combining the dynamic change of fluid viscosity. Based on the product relationship between the remaining effective duration and the sound field intensity compensation coefficient, the time-effect weighting factor of the frequency conversion strategy is generated. By utilizing the periodic deposition characteristics in historical scaling tendency data, a scaling prevention demand fluctuation curve in the time dimension is constructed, and the time-effect weighting factor is matched and calibrated with the phase of the curve. Based on the matching results, anti-deposition enhancement frequency bands are dynamically inserted into the scaling characteristic frequency spectrum, and the duration ratio of each frequency band is adjusted to form a time-varying frequency conversion strategy. By monitoring the impedance spectrum of the oscillator array in real time, the aging and drift characteristics of piezoelectric ceramics are identified, and equipment state compensation parameters are embedded in the phase gradient modulation command. The optimized frequency conversion strategy and the compensated sound field intensity parameters are input into the composite sound field generation module to form a closed-loop control command flow aimed at maximizing scale inhibition efficiency, thereby achieving continuous self-optimization of scale inhibition effectiveness.

8. A control system for an ultrasonic water treatment device based on variable frequency vibration waves, characterized in that, The ultrasonic water treatment equipment control system includes a memory and a processor. The memory stores a program for an ultrasonic water treatment equipment control method based on variable frequency vibration waves. When the program for the ultrasonic water treatment equipment control method based on variable frequency vibration waves is executed by the processor, the steps of the ultrasonic water treatment equipment control method based on variable frequency vibration waves as described in any one of claims 1 to 7 are implemented.

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