Water oil sludge resource regeneration device based on composite ultrasonic field and application

Abstract

The invention relates to the technical field of oil sludge resource regeneration, and discloses a water oil sludge resource regeneration device based on a composite ultrasonic field and application. The device comprises an oil sludge parameter acquisition module, a resonant frequency analysis module, a sound field coupling control module, a phase shift interference analysis module and a separation strengthening execution module. The oil sludge parameter acquisition module acquires a rheological characteristic data set of the oil-containing sludge in real time; the resonance frequency analysis module generates a dual-target resonance frequency parameter based on the data set; the sound field coupling control module drives the piezoelectric transducer array to generate a focused ultrasonic field, and a sound field coupling model is constructed; the phase shift interference analysis module corrects the phase offset of the model and outputs a multi-band sound energy injection sequence; and the separation strengthening execution module regulates and controls the rotating speed gradient of the mechanical centrifugal unit, triggers membrane stack pulse backwashing, and finally generates regenerated base oil and a purified water phase product. According to the device, efficient regeneration of water-oil sludge resources is realized through cooperation of multiple modules.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil sludge resource regeneration, in particular to a water-oil sludge resource regeneration device based on a composite ultrasonic field and application. BACKGROUND

[0002] Oil sludge, as a typical hazardous waste generated in the process of oil exploitation, refining and storage, has complex composition, including crude oil, water, silt and various chemical additives. If not properly treated, it will not only occupy a large amount of land resources, but also cause serious pollution to soil, groundwater and atmosphere. At present, the treatment and resource recovery technologies for oil sludge mainly include pyrolysis, extraction, incineration and biological treatment. Although pyrolysis technology can realize the recovery of oil, it has high energy consumption and is prone to secondary pollution; extraction technology relies on chemical reagents, which may lead to reagent residues and increase the cost of subsequent treatment; incineration technology can reduce the amount of waste, but it will release a large amount of harmful gases, which does not meet the environmental protection requirements; biological treatment technology has a long cycle and is greatly affected by environmental factors, which is difficult to meet the demand of large-scale treatment.

[0003] Centrifugal separation and membrane filtration technology in physical separation method also have limitations in practical application. Centrifugal separation can only realize preliminary separation according to density difference, and the separation effect is limited for oil sludge with high viscosity and fine solid particles, and the oil recovery rate is low; membrane filtration technology is prone to flux decline due to concentration polarization and membrane pollution during treatment, and frequent cleaning is required, which not only affects the treatment efficiency, but also shortens the service life of the membrane. In addition, the existing technology lacks real-time monitoring and dynamic control mechanism for the characteristic parameters of oil sludge, which makes it difficult to adjust the treatment process according to the rheological properties of oil sludge, resulting in poor equipment operation stability and low resource regeneration efficiency. How to realize efficient separation and maximum recovery of oil sludge, while reducing energy consumption and pollution in the treatment process, has become a problem to be solved. SUMMARY

[0004] The present application aims to provide a water-oil sludge resource regeneration device based on a composite ultrasonic field and application to solve the problems raised in the background.

[0005] To achieve the above-mentioned purpose, the present application provides a water-oil sludge resource regeneration device based on a composite ultrasonic field, which comprises:

[0006] An oil sludge parameter acquisition module is used to acquire the rheological property data set of oil sludge in real time, which includes viscosity distribution value, solid particle size spectrum and multi-component dielectric constant;

[0007] A resonance frequency analysis module is connected to the oil sludge parameter acquisition module, and performs Doppler effect analysis based on the rheological property data set to generate a dual-target resonance frequency parameter covering oil phase stripping and solid phase crushing;

[0008] a sound field coupling control module receiving the composite frequency parameter output by the resonance frequency analysis module, driving multiple groups of piezoelectric transducer arrays to generate a phase-adjustable focused ultrasound field, and synchronously constructing a sound field coupling model containing a sound pressure gradient distribution and a cavitation threshold;

[0009] a phase shift interference analysis module monitoring real-time spatial and temporal interference eigenvalues of the focused ultrasound field in the reaction cavity, correcting a phase offset of the sound field coupling model through a sound impedance gradient tracking algorithm, and outputting an optimized multi-frequency band sound energy injection sequence;

[0010] a separation enhancement execution module regulating a rotational speed gradient of a mechanical centrifugal unit based on the multi-frequency band sound energy injection sequence, and simultaneously outputting a pulse backwash trigger signal to an oil-water separation membrane stack, and finally generating a regenerated base oil and a purified water phase product.

[0011] Preferably, the oil sludge parameter acquisition module comprises:

[0012] a rheological sensing unit capturing real-time viscoelastic modulus spectrum of the oil-containing sludge through a rotating shear probe, and calculating a thixotropic index based on a creep recovery curve;

[0013] a dielectric spectrum scanning unit scanning real and imaginary parts of the complex dielectric constant of the sludge sample using a coaxial probe array, and extracting a water association degree index in combination with a Debye model;

[0014] a particle size distribution unit measuring a particle size distribution histogram of the solid particles after ultrasonic pre-dispersion using a laser diffraction method, and marking a superfine particle proportion.

[0015] Preferably, the resonance frequency analysis module comprises:

[0016] an oil phase peeling frequency calculation sub-module solving a characteristic resonance frequency point of an oil phase emulsion layer through a relaxation time spectrum inversion algorithm based on the thixotropic index and the water association degree index;

[0017] a solid phase crushing frequency calculation sub-module deriving a critical crushing frequency band of a solid phase skeleton using a stress wave propagation model according to the particle size distribution histogram and the superfine particle proportion;

[0018] a frequency band synthesis sub-module performing band-pass filtering fusion processing on the characteristic resonance frequency point and the critical crushing frequency band to generate the composite frequency parameter containing a main frequency value and a harmonic component.

[0019] Preferably, the sound field coupling control module comprises:

[0020] a transducer driving sub-module converting the composite frequency parameter into phase encoding instructions of a piezoelectric ceramic array, and loading an amplitude gradual change coefficient to generate a conical focused sound field;

[0021] a cavitation effect modeling submodule, which calculates a cavitation bubble collapse time sequence of a sound pressure node based on geometric topological parameters of the reaction cavity and a dielectric constant of the sludge;

[0022] an energy distribution optimization submodule, which adjusts a transmission delay time of each transducer unit through a sound ray tracing algorithm to match a peak sound pressure of the conical focused sound field with a cavitation threshold.

[0023] Preferably, the phase shift interference analysis module comprises:

[0024] a sound field monitoring submodule, which acquires sound pressure phase difference data in real time through an ultrasonic hydrophone array arranged on the wall surface of the reaction cavity and constructs a three-dimensional sound energy distribution thermogram;

[0025] an impedance gradient analysis submodule, which extracts a sound impedance mutation boundary and marks a coordinate position of an energy attenuation area according to the three-dimensional sound energy distribution thermogram;

[0026] a phase compensation submodule, which dynamically adjusts a driving phase angle of the piezoelectric ceramic array based on the energy attenuation area coordinate to generate the multi-frequency sound energy injection sequence that eliminates an interference blind area.

[0027] Preferably, the separation intensification execution module comprises:

[0028] a centrifugal intensification unit, which converts a low-frequency component in the multi-frequency sound energy injection sequence into a step control signal of a centrifuge rotating speed and adjusts a rotating speed change gradient based on a solid phase sedimentation curve;

[0029] a membrane separation unit, which triggers pulsed gas-liquid backflush on a hydrophobic membrane surface according to a high-frequency component of the multi-frequency sound energy injection sequence and simultaneously adjusts a backflush pressure threshold through feedback of a transmembrane pressure difference sensor;

[0030] a product collection unit, which is provided with an oil phase photoelectric identification probe at a centrifuge discharge port to separate and independently store light phase oil and heavy phase water.

[0031] Preferably, the device further comprises a reaction cavity structure:

[0032] a cylindrical titanium alloy cavity, whose inner wall is coated with a sound wave reflection layer and in which the piezoelectric transducer array is embedded;

[0033] a sludge feeding port arranged at the top of the cavity and connected to a variable-diameter pushing pipeline of a screw conveyor;

[0034] a product outlet arranged at a conical structure at the bottom of the cavity and controlled by an electromagnetic valve to discharge oil and water phases.

[0035] Preferably, the device further comprises a cooling circulation system:

[0036] The temperature sensor array is distributed on the outer wall of the cavity to monitor the temperature value of the sound energy conversion hot spot in real time.

[0037] The closed-loop cooling pipeline dynamically adjusts the liquid nitrogen injection flow based on the temperature value to maintain the constant temperature state of the reaction cavity.

[0038] Preferably, the device further comprises a data feedback channel:

[0039] The oil phase purity detector analyzes the hydrocarbon component concentration of the light phase oil in real time and returns the concentration deviation value to the resonance frequency analysis module.

[0040] The solid phase residual amount monitor collects the organic matter residual rate in the centrifuge residue phase, and triggers the amplitude gain adjustment of the sound field coupling control module based on the residual rate threshold.

[0041] Preferably, the application further comprises an application of the composite ultrasonic field-based water-oil sludge resource regeneration device in water-oil sludge resource utilization.

[0042] Compared with the prior art, the application has the following beneficial effects:

[0043] The oil sludge parameter acquisition module acquires the rheological property data set of the oil-containing sludge in real time, covering the viscosity distribution value, the solid phase particle size spectrum and the multi-component dielectric constant, so that the device can accurately grasp the initial state of the processing object and provide basic information for subsequent processing process adjustment.

[0044] The resonance frequency analysis module performs Doppler effect analysis based on the rheological property data set to generate a dual-target resonance frequency parameter covering oil phase stripping and solid phase crushing, so that the effect of the ultrasonic field is more targeted, which can effectively strip the oil phase and crush the solid phase particles, avoiding the problem of poor effect under the action of a single frequency.

[0045] After receiving the composite frequency parameter, the sound field coupling control module drives the multiple piezoelectric transducer arrays to generate a phase-adjustable focused ultrasonic field, synchronously constructs a sound field coupling model containing sound pressure gradient distribution and cavitation threshold, realizes the focusing and accurate regulation of ultrasonic energy, enhances the action intensity and uniformity of the ultrasonic field on the oil sludge, and promotes the separation of the oil phase, water phase and solid phase.

[0046] The phase shift interference analysis module monitors the time and space interference characteristic value of the focused ultrasonic field in the reaction cavity in real time, corrects the phase offset of the sound field coupling model through the acoustic impedance gradient tracking algorithm, outputs the optimized multi-frequency sound energy injection sequence, ensures the stability of the ultrasonic field in the processing process, reduces the energy loss caused by phase offset, and enables the sound energy to continuously and efficiently act on the oil-containing sludge.

[0047] The separation strengthening execution module controls the rotational speed gradient of the mechanical centrifugal unit based on the multi-frequency band sound energy injection sequence, and outputs a pulse backwashing trigger signal to the oil-water separation membrane stack, realizing the cooperation of ultrasonic field action, mechanical separation and membrane filtration technology. The dynamic control of the rotational speed gradient can adapt to the needs of different separation stages, improve the separation effect; the pulse backwashing can relieve membrane pollution, maintain membrane flux, prolong the service life of the membrane, reduce downtime cleaning time, and improve the overall processing efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 The working principle diagram of the water-oil sludge resource regeneration device based on a composite ultrasonic field is shown.

[0049] Figure 2 The flowchart of the working of the oil sludge parameter acquisition module is shown.

[0050] Figure 3 The flowchart of the working of the resonance frequency analysis module is shown.

[0051] Figure 4 The flowchart of the working of the phase shift interference analysis module is shown.

[0052] Figure 5 The flowchart of the working of the reaction cavity structure is shown. DETAILED DESCRIPTION

[0053] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0054] Please refer to Figure 1 The present application provides a water-oil sludge resource regeneration device based on a composite ultrasonic field, which comprises an oil sludge parameter acquisition module, a resonance frequency analysis module, a sound field coupling control module, a phase shift interference analysis module and a separation strengthening execution module. Through the cooperation of multiple modules, efficient separation and recovery of oil sludge resources are realized. The specific implementation is as follows:

[0055] The oil sludge parameter acquisition module obtains rheological property data of the oil-containing sludge in real time, including viscosity distribution value, solid phase particle size spectrum, and multi-component dielectric constant. The resonance frequency analysis module generates oil phase stripping and solid phase crushing dual-target resonance frequency parameters based on the rheological property data. The acoustic field coupling control module drives the piezoelectric transducer array to generate a phase-adjustable focused ultrasonic field, and constructs an acoustic field coupling model of acoustic pressure gradient distribution and cavitation threshold. The phase shift interference analysis module monitors the time and space interference eigenvalue of the ultrasonic field in real time, corrects the phase shift amount, and outputs an optimized multi-frequency acoustic energy injection sequence. The separation enhancement execution module controls the rotational speed gradient of the mechanical centrifugal unit, and outputs a pulse backwashing signal to the oil-water separation membrane stack, to finally generate regenerated base oil and purified water phase products.

[0056] Embodiment 1: refer to Figure 2 The oil sludge parameter acquisition module realizes comprehensive acquisition and analysis of the rheological property data of the oil-containing sludge through the cooperation of the rheological sensing unit, the dielectric spectrum scanning unit, and the particle size distribution unit. The rheological sensing unit adopts a rotating shear probe to perform dynamic rheological test on the oil sludge sample. The probe applies shear force at a preset rotational speed gradient, and synchronously records the stress-strain response of the oil sludge. The rotating shear probe adopts a cone-plate structure with a cone angle of 1° and an adjustable plate spacing range of 0.1-2 mm to adapt to oil sludge samples of different viscosities. During the test, the probe applies shear force at a linearly increasing rotational speed, while a high-precision torque sensor measures the shear stress change of the oil sludge in real time to generate a complete viscoelastic modulus spectrum. Based on the creep recovery experimental data, the rheological sensing unit calculates the thixotropic index of the oil sludge, reflecting its structure damage and recovery characteristics. After the test is completed, the system automatically cleans the probe surface residues to avoid sample cross-contamination.

[0057] The dielectric spectrum scanning unit measures the wideband dielectric property of the oil sludge sample through a coaxial probe array. The coaxial probe adopts an open structure with a working frequency covering 1 MHz to 3 GHz, which can capture the polarization response of different components in the oil sludge. During the measurement, the probe array is close to the surface of the oil sludge in a non-contact manner, and a vector network analyzer transmits a sweep signal and receives the reflection coefficient. The system calculates the real part and imaginary part of the complex dielectric constant based on the reflection signal, and draws the dielectric spectrum curve. Combined with the Debye relaxation model, the dielectric spectrum scanning unit extracts the water association degree index, which reflects the bound state of water molecules in the oil sludge and their interaction strength with the oil phase. During the measurement, the probe array automatically adjusts the contact pressure with the sample to ensure signal stability. The system has a built-in temperature compensation algorithm to eliminate the influence of environmental temperature fluctuations on dielectric measurement.

[0058] The particle size distribution unit determines the particle size distribution of the solid particles in the oil sludge using the laser diffraction method. Before testing, the oil sludge sample is subjected to ultrasonic pre-dispersion treatment to make the particles uniformly suspended in the water phase. The dispersed sample is pumped into the flow sample cell of the laser diffraction instrument, and the cell body is made of quartz to ensure optical transparency. The laser emitter generates a parallel light beam with a wavelength of 632.8 nm, which is received by a multi-angle photodetector after passing through the sample cell. The system calculates the particle size distribution based on the Mie scattering theory, generating a histogram containing volume percentage and number percentage. The particle size analysis range is set to 0.1-1000 pm, with a resolution of 0.1 pm. The unit automatically marks the proportion of ultra-fine particles (particle size <10 pm) and outputs characteristic particle size parameters such as D10, D50, and D90.

[0059] The data acquisition system of the rheological sensing unit uses a 24-bit high-precision ADC with a sampling frequency of 1 kHz, ensuring the capture of stress-strain curve details. The probe driving motor is equipped with an encoder feedback, with a speed control accuracy of ±0.1 rpm. The temperature control module maintains the test environment at 25±0.5℃, avoiding changes in rheological properties caused by temperature. The coaxial probe of the dielectric spectrum scanning unit uses gold-plated electrodes to reduce the impact of contact resistance on measurement. The dynamic range of the vector network analyzer is greater than 120 dB, supporting multi-port calibration technology to eliminate system errors. The flow sample cell of the particle size distribution unit is designed in laminar flow mode, with a stable flow rate of 50 mL / min to avoid measurement deviations caused by particle settling. The laser power is automatically adjusted to adapt to different turbidity samples, and the detector sensitivity can be adjusted to optimize the signal-to-noise ratio.

[0060] The central processing unit of the oil sludge parameter acquisition module integrates the data streams of the three sub-units, establishing a unified sample identification and timestamp. The system automatically checks the measurement state of each sub-unit and triggers the self-diagnosis program when abnormalities are found. The operation interface displays real-time measurement curves and key parameters, supporting data export in CSV or JSON format. The module housing has an IP65 protection level, and the internal wiring uses shielded cables to suppress electromagnetic interference. The power supply system is equipped with an uninterruptible power supply to prevent data loss caused by sudden power failure. The calibration program has built-in national standard reference values, automatically performs calibration verification and generates calibration reports on a regular basis.

[0061] The test protocol of the rheological sensing unit includes linear shear, oscillatory shear and creep recovery modes. Single mode or multi-mode combination test can be selected according to the characteristics of the oil sludge. The probe cleaning program adopts two-stage solvent flushing and air blowing drying to ensure no residue. The dielectric spectrum scanning unit supports single-point measurement and two-dimensional scanning measurement, with a minimum scanning step of 1 mm, suitable for characterization of non-uniform samples. The mechanical arm of the probe array is driven by a servo motor, with a positioning accuracy of ±0.01 mm. The ultrasonic pretreatment module of the particle size distribution unit has a frequency adjustable range of 20-40 kHz, and the power is adjustable in 10 levels, ensuring the effective dispersion of particles with different hardness. The sample pool temperature control system maintains 25±1℃ to avoid particle agglomeration caused by temperature changes.

[0062] The oil sludge parameter acquisition module communicates with the upper computer through industrial Ethernet, supporting ModbusTCP and OPCUA protocols. The system records all operation events and alarm information, with a storage period of 90 days. Data encryption transmission function prevents unauthorized access, and user permissions are divided into three levels: operator, engineer and administrator. The maintenance interface provides device running time statistics and key component life prediction, prompting the preventive maintenance time point. The overall size of the module is 800x600x400mm, and the weight is about 50kg. The bottom is installed with shock-absorbing foot pads to isolate environmental vibration.

[0063] Example 2: see Figure 3 The resonance frequency analysis module converts the rheological characteristic data obtained by the oil sludge parameter acquisition module into composite frequency parameters that can drive the ultrasonic field through the collaborative processing of the oil phase stripping frequency calculation submodule, the solid phase breaking frequency calculation submodule and the frequency band synthesis submodule. The oil phase stripping frequency calculation submodule receives the thixotropic index from the rheological sensing unit and the moisture association degree index from the dielectric spectrum scanning unit, and analyzes the dynamic characteristics of the oil phase emulsion layer through the relaxation time spectrum inversion algorithm. The algorithm is based on the relaxation peak characteristics of the oil sludge dielectric spectrum, identifies the characteristic time constant of the oil-water interface polarization response, and then deduces the mechanical resonance frequency point that can destroy the emulsion structure. During data processing, the system automatically selects the Cole-Cole relaxation component in the dielectric spectrum to exclude the influence of interference factors such as electrode polarization. After calculation, the submodule outputs a set of characteristic resonance frequency points, with a frequency range usually distributed between 100kHz and 2MHz, covering the main energy efficiency interval of oil phase stripping.

[0064] The solid phase breaking frequency calculation submodule processes the solid phase particle data provided by the particle size distribution unit, including the particle size distribution histogram and the proportion of ultra-fine particles. The submodule analyzes the mechanical response characteristics of the particle system using a stress wave propagation model, which considers the contact stiffness and damping effect between particles. According to the particle size distribution characteristics, the system identifies the dominant breaking mode of the particle agglomerate, including grain boundary fracture, particle disaggregation, and other mechanisms. By simulating the propagation path and energy dissipation of stress waves in the particle system, the submodule calculates the critical frequency band that can effectively break the solid phase skeleton. The calculation process introduces the constitutive parameters of the particle material, such as Young's modulus and Poisson's ratio, to improve the accuracy of the model. The output result is a set of critical breaking frequency bands, with a frequency range usually between 20kHz and 500kHz, matching the inherent vibration characteristics of the solid phase particles.

[0065] The frequency band synthesis submodule fuses the outputs of the oil phase stripping frequency calculation submodule and the solid phase breaking frequency calculation submodule. The submodule first performs bandpass filtering on the two sets of frequency parameters to eliminate mutual interference in the overlapping frequency bands. The filtering is implemented using digital signal processing technology, with a passband ripple controlled within ±0.5dB and a stopband attenuation greater than 60dB. Subsequently, the system performs harmonic analysis on the filtered frequency components to identify the intensity distribution of the fundamental frequency and higher harmonics. Based on the analysis of the efficiency of the acoustic field coupling, the submodule selects the frequency combination with the best energy transmission characteristics to generate composite frequency parameters containing the main frequency value and harmonic components. The parameter output format includes frequency value, relative amplitude, and phase information, which can be directly called by the acoustic field coupling control module.

[0066] The acoustic field coupling control module consists of a transducer driving submodule, a cavitation effect modeling submodule, and an energy distribution optimization submodule, responsible for converting the composite frequency parameters into a physical ultrasonic field. The transducer driving submodule analyzes the phase encoding instructions in the composite frequency parameters and converts them into driving signals for the piezoelectric ceramic array. The driving signal uses a class-D amplifier architecture with a switching frequency of 500kHz and an output voltage peak-to-peak value adjustable range of 50-300V. The system independently configures phase delay parameters for each transducer unit, accurately controls the excitation timing of each unit, and forms a conical focused acoustic field in the reaction chamber. The amplitude gradient coefficient adjusts the axial energy distribution of the acoustic field with a step size of 0.1%, forming an acoustic pressure gradient that gradually decays from the focal region outward.

[0067] The cavitation effect modeling submodule calculates the dynamic behavior of cavitation bubbles in the acoustic field based on the three-dimensional CAD model of the reaction chamber and the distribution of the sludge dielectric constant. The model imports the geometric topological parameters of the chamber, including wall curvature, transducer arrangement position, and other structural features. By solving the nonlinear acoustic wave equation, the system predicts the spatial distribution of acoustic pressure nodes and their time-varying rules. The calculation process considers the attenuation characteristics of sound waves in the oil sludge medium, including the effects of viscous loss and scattering loss. The model outputs the cavitation bubble collapse time sequence, labeling the spatial coordinates and time points of cavitation events. The calculation results are visualized in the form of a three-dimensional heat map, directly showing the active cavitation areas in the chamber.

[0068] The energy distribution optimization submodule adjusts the emission parameters of the transducer array through ray tracing algorithms to match the energy distribution of the ultrasonic field with the cavitation threshold. The algorithm first establishes a ray propagation model of the transducer array and the reaction chamber, simulating the refraction and reflection paths of sound waves in multi-layer media. Based on the cavitation threshold data provided by the cavitation effect modeling submodule, the system iteratively optimizes the emission delay time and amplitude weight of each transducer unit. The optimization process uses an adaptive genetic algorithm to complete parameter convergence within 100 ms. The final output driving scheme precisely controls the peak acoustic pressure of the focused sound field near the cavitation threshold, ensuring that the cavitation effect occurs sufficiently while avoiding excessive cavitation that causes energy waste.

[0069] The hardware platform of the resonance frequency analysis module uses a FPGA and DSP co-processing architecture, with FPGA responsible for real-time signal generation and DSP performing complex algorithm operations. The data interface supports gigabit Ethernet and optical fiber communication to ensure high-speed data exchange with upstream and downstream modules. The module has a built-in self-checking program that automatically checks the functional status of each submodule at power-on and triggers an alarm signal in abnormal conditions. The power amplifier of the sound field coupling control module is equipped with over-temperature protection and short-circuit protection circuits, and the heat dissipation system uses a combination of heat pipes and fans. Control signals are transmitted using photoelectric isolation to eliminate ground loop interference. The module case uses electromagnetic shielding design, internal wiring follows high-frequency signal transmission specifications, and key signal lines use twisted shielded cables.

[0070] The relaxation time spectrum inversion algorithm of the oil phase stripping frequency calculation submodule uses multi-core parallel computing, with a processing time of less than 50 ms for a single set of data. The stress wave propagation model of the solid phase breaking frequency calculation submodule supports GPU acceleration, with a calculation grid resolution of 0.1 mm. The bandpass filter bank of the frequency band synthesis submodule uses FIR structure, with the order dynamically adjustable to adapt to different bandwidth requirements. The phase control accuracy of the transducer driving submodule reaches 0.01°, with timing jitter less than 1 ns. The three-dimensional acoustic field calculation of the cavitation effect modeling submodule uses adaptive grid technology to optimize resource consumption while ensuring accuracy. The sound ray tracing algorithm of the energy distribution optimization submodule supports multi-thread processing and updates acoustic field distribution data in real time.

[0071] The resonance frequency analysis module exchanges data with the sound field coupling control module through a high-speed serial bus, and the transmission delay is controlled within 1 ms. The system state monitoring interface displays the operating parameters of each sub-module in real time, including CPU load, memory usage, and other performance indicators. The historical data storage function supports playback analysis, and the data compression algorithm reduces storage space occupation. The module supports remote firmware upgrade, and the basic functions remain normal during the upgrade process. The mechanical structure adopts a modular design, and the sub-modules can be individually disassembled and maintained. The power supply system is equipped with redundant design, and the automatic switching time of the main and backup power supply is less than 10 ms. All connectors adopt anti-misplug design, and the operation interface meets the ergonomics specifications.

[0072] Example 3: refer to Figure 4 The phase shift interference analysis module realizes real-time regulation and control of the spatio-temporal characteristics of the focused ultrasound field through the cooperative operation of the sound field monitoring sub-module, the impedance gradient analysis sub-module, and the phase compensation sub-module. The sound field monitoring sub-module is deployed on the 64-element ultrasonic hydrophone array on the wall of the reaction cavity, covering 80% of the internal surface area of the cavity in a spiral arrangement. The working frequency range of each hydrophone unit is 0.5-10 MHz, with a sensitivity of 1 mV / kPa and a dynamic range exceeding 80 dB. The array synchronously collects sound pressure signals at a sampling frequency of 1 MHz, which are transmitted to the signal processing unit through a high-speed data acquisition card. The system uses a cross-correlation algorithm to calculate the sound pressure phase difference between each hydrophone, with a phase difference resolution of 0.1°. Based on the collected raw data, the module reconstructs the three-dimensional sound field distribution and generates a sound energy distribution heat map containing sound pressure amplitude and phase information. The spatial resolution of the heat map is 2mm x 2mm x 2mm, with a refresh frequency of 10Hz, accurately reflecting the instantaneous state of the sound field in the cavity.

[0073] The impedance gradient analysis sub-module processes the three-dimensional sound energy data provided by the sound field monitoring sub-module and extracts the acoustic impedance variation characteristics in the oil sludge medium. The analysis process uses an improved Sobel operator to detect the acoustic impedance mutation boundary, with an operator convolution kernel size of 5x5x5 voxels. The boundary detection algorithm introduces anisotropic diffusion filtering preprocessing to suppress noise interference while preserving impedance jump details. The system sets an adaptive threshold based on the impedance gradient amplitude, dividing the cavity space into two types of regions: continuous and mutated. For the detected impedance mutation interface, the module records its spatial coordinates and normal vector direction, and calculates the acoustic impedance ratio on both sides of the interface. The analysis results mark the position coordinates of the energy attenuation region, which usually corresponds to the aggregation of solid particles in the oil sludge or the oil-water interface.

[0074] The phase compensation sub-module dynamically adjusts the driving parameters of the piezoelectric transducer array based on the impedance gradient analysis results to optimize the sound field distribution. The compensation algorithm establishes a sound field propagation path model, considering the reflection and refraction effects of sound waves at the impedance discontinuity interface. For each marked energy attenuation region, the system calculates the amount of phase distortion caused by it , and derives the corresponding compensation phase angle :

[0075]

[0076] where f is the ultrasonic frequency, c is the average sound speed in the oil sludge, is the propagation distance of the sound wave in the i-th abnormal region, is the relative refractive index of the region. The compensation process uses an iterative optimization strategy, and the compensation effect is verified by the sound field monitoring sub-module after each adjustment. The system outputs the optimized multi-frequency sound energy injection sequence, which includes the driving frequency, amplitude and phase parameters of each transducer unit. The parameter update period is synchronized with the sound field monitoring to ensure the best sound field coupling for the dynamically changing oil sludge medium.

[0077] The hydrophone array of the sound field monitoring sub-module uses polyvinylidene fluoride (PVDF) piezoelectric film as the sensitive material, which has good impedance matching with the oil sludge medium. The array signal conditioning circuit includes a low-noise preamplifier and an anti-aliasing filter, with an equivalent input noise lower than 5μV. The data acquisition system uses a 16-bit ADC, with a sampling accuracy that meets the requirement of sound pressure level measurement error less than 0.5dB. The parallel computing architecture of the impedance gradient analysis sub-module supports real-time processing of three-dimensional sound field data, with a processing delay controlled within 20ms. The driving parameter generation unit of the phase compensation sub-module uses a floating-point DSP, with a compensation amount calculation accuracy of 0.01°.

[0078] The mechanical structure design of the phase shift interference analysis module considers the stability of the acoustic measurement environment. The hydrophone array is installed in a special sealed groove on the wall of the cavity, and the groove is filled with acoustic coupling gel to ensure signal transmission efficiency. The module shell adopts a double-layer vibration isolation design, with an aluminum alloy frame as the inner layer and an acoustic absorption composite material as the outer layer. All electronic connectors have an IP67 protection level, suitable for high humidity conditions in the oil sludge treatment environment. The system power supply uses a linear voltage regulator, with a power supply ripple less than 1mV, avoiding the introduction of measurement noise.

[0079] The calibration procedure of the sound field monitoring sub-module uses a standard ultrasonic source to generate a known sound field distribution in the cavity. The sensitivity differences of each hydrophone unit are corrected by comparing the measured values with the theoretical values. The calibration process covers all working frequencies, and the frequency response correction curve is stored in the non-volatile memory. The boundary detection algorithm of the impedance gradient analysis sub-module is verified by numerical simulation in the development stage, and the detection accuracy is tested using simulated sound field data containing known impedance mutations. The optimization algorithm of the phase compensation sub-module uses a closed-loop control structure. After each compensation, the sound field uniformity index is evaluated until the preset convergence condition is met.

[0080] The phase shift interference analysis module and the sound field coupling control module are connected through a fiber optic communication interface with a data transmission rate of 1 Gbps. The system status monitoring interface displays key parameters such as three-dimensional sound field distribution, impedance gradient map, and phase compensation amount in real time. The historical data recording function stores complete sound field data for the last 24 hours, supporting playback and analysis of the sound field evolution process. The built-in diagnostic program detects the sensitivity consistency of the hydrophone array regularly and prompts recalibration when performance drift is detected. The operation authority is divided into two levels: standard mode and expert mode, with the expert mode opening advanced parameter adjustment functions.

[0081] The spiral arrangement scheme of the hydrophone array is optimized for sound field coverage, ensuring that at least 6 hydrophones simultaneously receive signals in the central region of the cavity. Time division multiplexing technology is used for array signal transmission, reducing the number of connection lines. The three-dimensional convolution operation of the impedance gradient analysis is implemented using a separable filter to reduce computational complexity. The iterative optimization of the phase compensation amount is set to a maximum of 10 iterations to avoid getting stuck in local optima. The system temperature monitoring unit monitors the temperature changes of key components in real time and automatically adjusts the working parameters to prevent overheating when the threshold is exceeded.

[0082] The software architecture of the phase shift interference analysis module uses a microservice design, with each sub-module running as an independent service and exchanging data through a message queue. The exception handling mechanism monitors service heartbeat signals and automatically restarts related services when an exception is detected. The data persistence layer uses a time series database to optimize the storage and retrieval efficiency of sound field data. The user interface provides multiple visualization modes for sound field distribution, including two-dimensional slices, three-dimensional isosurface, and volume rendering display methods. The module supports access to the factory control system through industrial Ethernet, uploading device status and key process parameters. The maintenance interface provides detailed system logs and performance statistics to assist in fault diagnosis and performance optimization.

[0083] Example 4: see Figure 5, the separation enhancement execution module converts the multi-band acoustic energy injection sequence into actual oil-water separation operation through the synergistic work of the centrifugal enhancement unit, the membrane separation unit, and the product collection unit. The centrifugal enhancement unit receives low-frequency component signals from the phase-shift interference analysis module, with a frequency range concentrated at 20-100 kHz. These low-frequency components are converted into centrifuge speed control instructions by a digital signal processor, and the instructions include a speed set value and a change gradient parameter. The speed control adopts a closed-loop regulation mode, which monitors the angular velocity of the centrifuge drum in real time and compares it with the target value. The difference is processed by a PID controller to drive a servo motor to adjust the speed. The centrifuge speed gradient is dynamically adjusted according to the settling characteristics of the solid particles in the oil sludge. Initially, a lower speed is used to pre-settle large particles, and then the speed is increased in steps to separate small particles. A guide vane structure is provided in the drum to guide the oil phase to the center and the water phase to flow along the wall.

[0084] The membrane separation unit processes high-frequency components in the multi-band acoustic energy injection sequence, which are distributed in the range of 500 kHz-2 MHz. High-frequency signals trigger the pulsed gas-liquid backwash process of the hydrophobic membrane stack, and the backwash period is synchronized with the amplitude change of the high-frequency components of acoustic energy. A transmembrane pressure difference sensor monitors the pressure difference on both sides of the membrane in real time, and automatically enhances the backwash intensity when the pressure difference exceeds the set threshold. Backwashing uses a gas-liquid mixed mode, where compressed air and cleaning liquid are mixed in proportion and then impact from the downstream side of the membrane. The membrane stack uses a cross-flow filtration design, and the oil sludge flows tangentially along the membrane surface to form a turbulent flow, reducing the deposition of pollutants on the membrane surface. The membrane material is polytetrafluoroethylene hollow fiber with a pore size distribution of 0.1-0.5 μm, and the surface is treated by plasma to enhance oil repellency.

[0085] The product collection unit is equipped with an array of photoelectric identification probes at the discharge port of the centrifuge, with a working wavelength of 1450 nm selected for the band. The probe array is evenly distributed along the circumference of the discharge pipeline, and the overlap rate of each probe measurement area is greater than 30%, ensuring that there is no blind area in the interface detection. The identification signal is transmitted to the electromagnetic shunt valve control system to drive the valve to switch and guide the light phase oil to the oil storage tank, and the heavy phase water to the water treatment unit. An ultrasonic liquid level meter is installed in the oil storage tank to continuously monitor the oil layer thickness and calculate the cumulative production. An online turbidity meter is installed at the water phase outlet to monitor the suspended solids content of the purified water phase.

[0086] The reaction cavity structure is a cylindrical titanium alloy container with an inner diameter of 500 mm, a height of 800 mm, and a wall thickness of 15 mm. The inner wall of the cavity is coated with a zirconia-based acoustic wave reflection coating with a thickness of 200 μm and a surface roughness Ra < 0.8 μm. The piezoelectric transducer array is embedded in the cavity side wall in the form of a spiral line, and the array contains 32 independently driven transducer units with a center-to-center spacing of 50 mm. The sludge feed inlet is located at the top center of the cavity and is connected to a variable diameter screw conveyor with a screw diameter gradually reducing from 150 mm to 80 mm, forming a compression pushing effect. The product outlet is arranged at the 60° conical structure at the bottom of the cavity, with a conical segment height of 300 mm and an outlet pipe inner diameter of 100 mm.

[0087] The operating parameters of the centrifugal intensification unit are dynamically adjusted according to the characteristics of the oil sludge, and the typical operating mode is shown in the following table:

[0088] Separation stage Rotational speed (rpm) Duration (s) Temperature (°C) Solid content (%) Initial settling 800 60 45 15-20 Main separation 2500 120 50 8-12 Fine separation 3500 90 55 3-5 Discharge 500 30 50 <1

[0089] The operating parameters of the membrane separation unit are associated with the characteristics of the high-frequency component of acoustic energy. When the amplitude of the high-frequency signal exceeds a threshold value, the system starts a backwash program, and the backwash pressure increases linearly with the signal amplitude. The membrane flux is maintained in the range of 50-80 L / (m²·h), and the stability is maintained by adjusting the feed pump speed. The cleaning liquid uses an alkaline solution with a pH value of 9 to dissolve oil and grease contaminants; the compressed air pressure is controlled at 0.3-0.6 MPa to form a strong turbulent flow to strip the membrane surface deposits. Each backwash lasts for 50-100 ms, and the interval period is automatically adjusted according to the membrane pollution rate, with a typical value of 15-30 minutes.

[0090] The photoelectric identification system of the product collection unit establishes an oil-water interface detection model, with the input being the reflected light intensity distribution of the probe array and the output being the estimated value of the interface position. The system regularly calibrates the probe response curve with standard oil-water mixed samples to eliminate measurement deviations caused by optical window contamination. The switching action time of the electromagnetic shunt valve is less than 200 ms, and the valve body flow channel is optimized by CFD, with a pressure loss of less than 0.05 MPa. The ultrasonic level meter of the oil storage tank has a measurement accuracy of ±1 mm, and the built-in temperature compensation algorithm corrects the influence of sound velocity variation.

[0091] The structural design of the reaction cavity is optimized through acoustic simulation to ensure that the acoustic field generated by the transducer array is uniformly distributed in the cavity. An exhaust valve is provided at the top of the cavity to exhaust the trapped gas during the feeding stage; the angle of the conical structure at the bottom is determined by fluid mechanics calculations to promote the laminar flow discharge of the separated products. The sealing structure of the piezoelectric transducer unit uses fluororubber O-rings, which can withstand temperatures up to 120°C. The variable diameter design of the screw conveyor allows the oil sludge to be gradually compressed during the pushing process, expelling the entrained bubbles. The conveying speed is interlocked with the feed valve control to maintain the material level in the cavity within the range of 70-80%.

[0092] The electrical control system of the separation intensification execution module adopts a distributed architecture, and each unit is equipped with an independent PLC controller. The main controller coordinates the actions of each unit through a PROFINET bus, and the bus cycle is set to 4 ms. The safety circuit includes centrifuge overspeed protection, membrane stack pressure upper limit alarm, and product collection unit anti-mixing interlocking. The module housing has an IP54 protection rating, and the control cabinet maintains a slight positive pressure to prevent oil mist intrusion. The operation interface displays real-time process flow diagrams, and key parameters are displayed in the form of trend curves, supporting manual / automatic mode switching without disturbance.

[0093] The drive system of the centrifugal intensification unit uses a permanent magnet synchronous motor with a rated power of 22 kW, equipped with a braking resistor to consume the feedback energy during deceleration. The speed measurement uses an encoder with a resolution of 17 bits, corresponding to an angular position accuracy of 0.0027°. The gas-liquid mixing device of the membrane separation unit uses a Venturi tube to achieve uniform mixing, and the mixing ratio valve has a regulation accuracy of ±1%. The product collection unit's oil storage tank is equipped with a nitrogen overlay system to maintain a slight positive pressure in the tank to prevent oil oxidation. All process pipelines are made of 316L stainless steel with an electrolytic polishing treatment on the inner surface, with a roughness Ra <0.4 μm.

[0094] The system maintenance functions include centrifuge vibration monitoring, membrane pollution index calculation, and product purity statistical analysis. The vibration sensor is installed on the centrifuge bearing seat, and the frequency spectrum is collected for early fault diagnosis. The membrane pollution index is calculated based on the transmembrane pressure difference change rate and flux decline rate, guiding the judgment of chemical cleaning time. The statistical module records the water content in the oil phase and the oil content in the water phase of each batch of product, and generates a long-term operation performance report. The maintenance plan is automatically prompted according to the actual operating hours of the equipment, and the remaining life of the key components is displayed in real time.

[0095] Example 5: The cooling circulation system maintains the reaction cavity within the optimal working temperature range through the cooperation of a temperature sensing array and a closed-loop cooling pipeline. The temperature sensing array consists of 48 PT100 platinum resistance thermometers arranged in a hexagonal grid to uniformly cover the outer wall surface of the cavity. The sampling interval of each temperature measurement point is 100 ms, the measurement range covers 0-150°C, and the accuracy reaches ±0.2°C. The data of the sensing array is transmitted to the temperature controller through shielded twisted pair, and the controller analyzes the temperature distribution pattern in real time to identify local hot spots generated by sound energy conversion. When a certain area temperature exceeds the set threshold, the system activates the cooling nozzle at the corresponding position. The closed-loop cooling pipeline uses liquid nitrogen as the cooling medium, and the self-pressurizing system in the storage tank maintains a stable injection pressure of 0.6 MPa. The electromagnetic proportional valve adjusts the liquid nitrogen flow according to the temperature deviation value, and the flow control resolution reaches 0.1 L / min. The nozzle is designed as a wide-angle atomizing type with a spray angle of 60° to ensure uniform coverage of the target area by the cooling medium. The pipeline is equipped with a gasifier to prevent direct contact of liquid nitrogen with the cavity surface, which can cause material embrittlement.

[0096] The data feedback channel is composed of oil phase purity detector and solid phase residual amount monitor, which realizes closed-loop monitoring of product quality. The oil phase purity detector adopts online near-infrared spectroscopy analysis technology, with a spectral range of 1200-2400 nm and a resolution of 4 cm⁻¹. The detection probe is installed on the discharge pipeline of the centrifuge, and spectral data are collected every 30 seconds. The analysis software establishes a quantitative model of hydrocarbon components based on the partial least squares method, and outputs the content distribution of C8-C30 alkanes in real time. When the content of light components is detected to be abnormally high, the system automatically sends an adjustment signal to the resonance frequency analysis module to correct the oil phase stripping frequency parameter. The solid phase residual amount monitor uses a thermogravimetric analysis method, and the sampling device periodically collects solid samples from the slag phase outlet of the centrifuge. The sample is heated to 800℃ at a rate of 10℃ / min under a nitrogen atmosphere, and the residual rate of organic matter is calculated by the weight change curve. The monitoring data are updated every 15 minutes, and when the residual rate exceeds the set limit, the sound field coupling control module is triggered to increase the ultrasonic amplitude.

[0097] The temperature controller adopts a fuzzy PID control strategy, which adjusts the cooling intensity in combination with the spatial distribution characteristics of the temperature field. The control period is set to 500 ms, and the output signal simultaneously adjusts the opening of multiple proportional valves. The liquid nitrogen storage tank is equipped with a weight sensor to monitor the medium inventory in real time, and a replenishment alarm is triggered when the inventory is less than 20%. The cooling pipeline is provided with a safety relief valve, which automatically releases when the pressure exceeds 1 MPa. The layout of the nozzle array is optimized through thermal simulation to ensure that each nozzle coverage area has a 15% overlap with adjacent areas. The wiring of the temperature sensor array uses high-temperature silicone insulation material, which can work long-term in a 150℃ environment. The signal conditioning circuit includes anti-interference filtering and surge protection to prevent electromagnetic pulse damage to sensitive components.

[0098] The optical system of the oil phase purity detector includes a tungsten halogen light source, an interferometer, and an indium gallium arsenide detector, and the optical path design conforms to the ATR total reflection principle. The probe window material is diamond, with a pressure resistance of 10 MPa and a surface coated with an anti-oil coating. The spectrometer has a built-in temperature control device, with a temperature fluctuation controlled within ±0.5℃. The detection software includes spectral preprocessing functions that automatically subtract baseline drift and scattering interference. The thermogravimetric analysis furnace of the solid phase residual amount monitor uses an alumina crucible, with a sample size accurately controlled at 50±1 mg. The balance has a resolution of 0.01 mg and a sampling frequency of 10 Hz. The temperature gradient of the heating zone is optimized to ensure uniform heating of the sample. The exhaust treatment unit includes a condenser and an activated carbon adsorption bed to prevent direct emission of volatile organic compounds.

[0099] The mechanical structure of the cooling circulation system adopts a modular design. The liquid nitrogen storage tank is kept 3 m away from the reaction cavity and connected through a vacuum insulated pipeline. All low-temperature components are wrapped in a polyurethane foam insulation layer, and the surface temperature is higher than the dew point to prevent frosting. The pipeline support frame is equipped with a shock absorbing device to eliminate vibrations caused by fluid pulsation. The electrical control cabinet is isolated from the low-temperature area, and the cabinet maintains a slight positive pressure and is equipped with a humidity regulator. The system is equipped with an emergency backup power supply to maintain continuous power supply for key sensors and control valves when the power is interrupted. The safety interlock device immediately cuts off the liquid nitrogen supply and starts the emergency evacuation when detecting pipeline leaks or ventilation failures.

[0100] The calibration procedure of the oil phase purity detector uses n-alkane standard samples to establish a quantitative model, which includes 15 characteristic absorption peaks. Daily verification uses a built-in holmium oxide filter to verify wavelength accuracy. The solid phase residual monitor verifies the temperature program and weighing accuracy with standard materials every week, and automatically triggers recalibration when the deviation exceeds the allowed value. The communication protocol of the data feedback channel uses OPCUA standard to realize safe data exchange with the main control system. The historical data storage period is three months, supporting the export of quality detection reports by batch.

[0101] The installation of the temperature sensing array uses thermal conductive silicone to fill the gap between the measurement point and the cavity wall, reducing the thermal response delay. The sensing element is wrapped in a stainless steel sheath with an IP68 mechanical protection rating. The signal cable is routed away from strong electromagnetic interference sources, and critical signals use dual redundant transmission. The atomization effect of the liquid nitrogen nozzle is checked regularly, and a high-speed camera is used to record the atomization cone angle and particle size distribution. The pipeline system is pressure tested and leak tested annually, with a test pressure of 1.5 times the working pressure. The trip pressure of the safety valve is manually tested every month to ensure the reliability of the overpressure protection function.

[0102] The operating interface of the cooling circulation system displays a 3D temperature field distribution graph, with different temperature intervals distinguished by color gradients. The parameter setting interface supports the storage and calling of multiple process recipes, including temperature thresholds, cooling rates, and other parameters. The alarm management interface records temperature anomalies, pressure fluctuations, and other events, and supports filtering by time and type. The quality monitoring interface of the data feedback channel displays the oil phase component chromatogram and solid phase thermogravimetric curve in real time, with key indicators highlighted on the digital dashboard. The system maintenance interface provides device runtime statistics, spare part replacement reminders, and other management functions. All operation steps are accompanied by electronic job instruction books, and critical operations require double confirmation before execution.

[0103] The supplement system of liquid nitrogen storage tank adopts vacuum insulated transfer pipeline, and the transfer rate is controlled within 50 L / min. The tank foundation is provided with a leak detection well, and a gas concentration sensor is installed in the well. The low temperature valve of the cooling pipeline adopts a corrugated pipe sealing structure, and the service life exceeds 10,000 times of opening and closing. The probe of the oil phase purity detector is provided with an automatic cleaning device, and after each detection, n-hexane solvent is sprayed to keep the optical window clean. The sampling manipulator of the solid phase residual amount monitor adopts servo drive, and the positioning accuracy is ±0.1 mm. The overall layout of the system meets the requirements of hazardous area division, and the explosion-proof grade of electrical equipment meets Zone 1 standard.

[0104] It should be noted that the relational terms herein such as first and second and the like are used solely to distinguish one entity or action from another, without necessarily requiring or implying any such actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0105] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, alternatives, and variations can be made in the embodiments without departing from the spirit and scope of the present application as defined by the appended claims and their equivalents.

Claims

1. A water-oil sludge resource regeneration device based on a composite ultrasonic field, characterized in that, The method comprises the following steps: An oil sludge parameter acquisition module is used to acquire the rheological property data set of the oil sludge in real time, wherein the rheological property data set comprises the viscosity distribution value, the solid-phase particle size spectrum and the multi-component dielectric constant; A resonance frequency analysis module is connected to the oil sludge parameter acquisition module, performs Doppler effect analysis based on the rheological property data set, and generates the dual-target resonance frequency parameter covering the oil phase stripping and the solid phase crushing; An acoustic field coupling control module receives the composite frequency parameter output by the resonance frequency analysis module, drives a plurality of piezoelectric transducer arrays to generate a phase-adjustable focused ultrasonic field, and synchronously constructs an acoustic field coupling model comprising the sound pressure gradient distribution and the cavitation threshold; A phase shift interference analysis module monitors the time and space interference eigenvalue of the focused ultrasonic field in the reaction cavity in real time, corrects the phase offset of the acoustic field coupling model through the acoustic impedance gradient tracking algorithm, and outputs the optimized multi-frequency band acoustic energy injection sequence; A separation enhancement execution module adjusts the rotational speed gradient of the mechanical centrifugal unit based on the multi-frequency band acoustic energy injection sequence, simultaneously outputs the pulse backwashing trigger signal to the oil-water separation membrane stack, and finally generates the regenerated base oil and the purified water phase product.

2. The composite ultrasonic field based water-oil mud resource regeneration device according to claim 1, characterized in that, The oil sludge parameter acquisition module comprises: A rheological sensing unit captures the viscoelastic modulus spectrum of the oil sludge in real time through a rotating shear probe, and calculates the thixotropic index based on the creep recovery curve; A dielectric spectrum scanning unit scans the real part and the imaginary part of the complex dielectric constant of the sludge sample using a coaxial probe array, extracts the water association degree index in combination with the Debye model, and calculates the thixotropic index based on the creep recovery curve; A particle size distribution unit measures the particle size distribution histogram of the solid-phase particles after ultrasonic pre-dispersion using the laser diffraction method, and marks the proportion of ultra-fine particles.

3. The composite ultrasonic field based water-oil mud resource regeneration device according to claim 2, characterized in that, The resonance frequency analysis module comprises: An oil phase stripping frequency calculation sub-module solves the characteristic resonance frequency point of the oil phase emulsion layer through the relaxation time spectrum inversion algorithm based on the thixotropic index and the water association degree index; A solid phase crushing frequency calculation sub-module derives the critical crushing frequency band of the solid phase skeleton using the stress wave propagation model according to the particle size distribution histogram and the proportion of ultra-fine particles; A frequency band synthesis sub-module performs band-pass filtering fusion processing on the characteristic resonance frequency point and the critical crushing frequency band to generate the composite frequency parameter comprising the main frequency value and the harmonic component.

4. The composite ultrasonic field based water-oil mud resource regeneration device according to claim 3, characterized in that, The acoustic field coupling control module comprises: A transducer driving sub-module converts the composite frequency parameter into the phase encoding instruction of the piezoelectric ceramic array, and loads the amplitude gradual change coefficient to generate a conical focused acoustic field; A cavitation effect modeling sub-module calculates the cavitation bubble collapse time sequence of the sound pressure node based on the geometric topological parameters of the reaction cavity and the dielectric constant of the sludge; An energy distribution optimization sub-module adjusts the emission delay time of each transducer unit through the sound ray tracing algorithm to match the peak sound pressure of the conical focused acoustic field with the cavitation threshold.

5. The composite ultrasonic field based water-oil mud resource regeneration device according to claim 4, characterized in that, The phase shift interference analysis module comprises: An acoustic field monitoring sub-module, which is deployed on the wall surface of the reaction cavity, acquires the sound pressure phase difference data in real time, and constructs a three-dimensional acoustic energy distribution thermogram; An impedance gradient analysis sub-module extracts the acoustic impedance mutation boundary and marks the coordinate position of the energy attenuation area according to the three-dimensional acoustic energy distribution thermogram. The phase compensation sub-module dynamically adjusts the driving phase angle of the piezoelectric ceramic array based on the energy attenuation region coordinates to generate the multi-frequency sound energy injection sequence that eliminates the interference blind area.

6. The composite ultrasonic field based water-oil mud resource regeneration device according to claim 5, characterized in that, The separation strengthening execution module includes: The centrifugal strengthening unit converts the low-frequency component in the multi-frequency sound energy injection sequence into a step control signal of the centrifuge rotation speed and adjusts the rotation speed change gradient based on the solid phase sedimentation curve; The membrane separation unit triggers the pulsed gas-liquid backflush on the hydrophobic membrane surface according to the high-frequency component of the multi-frequency sound energy injection sequence, and adjusts the backflush pressure threshold value through the transmembrane pressure difference sensor feedback; The product collection unit sets an oil phase photoelectric identification probe at the discharge port of the centrifuge to separate the light phase oil material from the heavy phase water liquid and store them independently.

7. The composite ultrasonic field based water-oil mud resource regeneration device according to claim 1, characterized in that, Further comprising a reaction cavity structure: A cylindrical titanium alloy cavity, the inner wall of which is coated with an acoustic wave reflection layer and embedded with the piezoelectric transducer array; The sludge feeding port is arranged at the top of the cavity and connected with the variable-diameter pushing pipeline of the screw conveyor; The product outlet is arranged at the bottom of the conical structure of the cavity, and the oil phase and water phase are discharged through the shunt control of the electromagnetic valve.

8. The composite ultrasonic field based water-oil mud resource regeneration device according to claim 7, characterized in that, Further comprising a cooling circulation system: A temperature sensor array is distributed on the outer wall of the cavity to monitor the temperature value of the sound energy conversion hot spot in real time; The closed-loop cooling pipeline dynamically adjusts the liquid nitrogen injection flow based on the temperature value to maintain the constant temperature state of the reaction cavity.

9. The composite ultrasonic field based water-oil mud resource regeneration device of claim 6, wherein, Further comprising a data feedback channel: The oil phase purity detector analyzes the hydrocarbon component concentration of the light phase oil material in real time and returns the concentration deviation value to the resonance frequency analysis module; The solid phase residual amount monitor collects the organic matter residual rate in the centrifuge slag phase and triggers the amplitude gain adjustment of the sound field coupling control module based on the residual rate threshold value.

10. The application of a water-oil sludge resource regeneration device based on a composite ultrasonic field according to any one of claims 1 to 9 in the utilization of water-oil sludge resources.

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