Pipe-in catalytic reaction operation system based on piezoelectric potential regulation

Abstract

The application discloses a kind of pipe catalytic reaction operation systems based on piezoelectric potential regulation, specifically relates to the field of piezoelectric potential regulation pipe catalytic reaction operation, including starting matching module, path generation module, diffusion modeling module, passage regulation module, efficiency optimization module;Starting matching module is based on catalytic medium original preparation parameter and flow shear environment initial setting parameter, extracts catalytic medium structure parameter and shear environment characteristic parameter, and filters the adaptive data combination that meets the requirement of piezoelectric potential preliminary excitation.Through in the condition without additional energy, based on the dynamic adaptation of catalytic medium and flow shear environment, the piezoelectric potential response is excited using fluid shear force and water pressure fluctuation, continuously induces free radical generation and migration, forms pollutant degradation passage, to realize the stable and continuous operation of pipe catalytic reaction, to solve the problem of insufficient continuous processing capacity in the prior art by relying on external excitation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of piezoelectric potential regulated in-pipe catalytic reaction operation, and more particularly to a piezoelectric potential regulated in-pipe catalytic reaction operation system. BACKGROUND

[0002] As a green and sustainable pollutant degradation technology, piezoelectric catalysis has attracted extensive attention, but in the prior art, piezoelectric catalysis relies on external ultrasonic waves or high-voltage power supplies to provide excitation, resulting in a complex catalytic system structure, high energy consumption, and difficulty in realizing continuous flow treatment in actual engineering;

[0003] Especially in a dynamic flowing water environment, the material excitation mode in the traditional catalytic method is single, the piezoelectric response decays quickly, and the free radical release path is difficult to sustain and stabilize, which seriously restricts the maintenance of catalytic activity and the improvement of pollutant degradation efficiency.

[0004] Therefore, there is an urgent need to propose a continuous operation method that can excite piezoelectric catalytic reaction under the condition of no external energy, using fluid shear force and water pressure change, so as to realize sustained release of free radicals and control of pollutant degradation in a flowing system. SUMMARY

[0005] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present application provide a piezoelectric potential regulated in-pipe catalytic reaction operation system, which continuously induces free radical generation and migration to form a pollutant degradation path by exciting piezoelectric potential response using fluid shear force and water pressure fluctuation based on the dynamic adaptation of catalytic medium and flowing shear environment under the condition of no external energy, so as to realize stable and continuous operation of in-pipe catalytic reaction, thereby solving the problems of dependence on external excitation and insufficient continuous processing capacity in the prior art.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical scheme: a piezoelectric potential regulated in-pipe catalytic reaction operation system, comprising a starting matching module, a path generation module, a diffusion modeling module, a path regulation module, and an efficiency optimization module.

[0007] The starting matching module extracts catalytic medium structure parameters and shear environment characteristic parameters based on catalytic medium original preparation parameters and flowing shear environment initial setting parameters, selects an adaptive data combination that meets the preliminary excitation requirements of piezoelectric potential, and generates a starting matching basis for subsequent catalytic reaction operation.

[0008] The path generation module extracts flowing shear characteristic parameters and generates a piezoelectric potential continuous response path set based on shear environment configuration parameters.

[0009] The diffusion modeling module generates free radical generation position identification data based on the piezoelectric potential continuous response path, extracts free radical initial generation position information, performs diffusion dynamic modeling, and generates a free radical diffusion evolution path model;

[0010] The pathway regulation module generates a pollutant degradation pathway and implements dynamic reverse regulation of the free radical release path based on the free radical diffusion path dynamic model;

[0011] The efficiency optimization module generates continuous operation efficiency evaluation results based on the pollutant degradation dynamic response map and system operation state data, and outputs shear and catalysis combined optimization strategies.

[0012] In a preferred embodiment, the initial matching module further comprises:

[0013] The preparation data of the original catalytic medium is extracted, and based on this, a catalytic medium set is generated, and the wall thickness distribution parameters, polarization orientation parameters and surface active site density parameters in the catalytic medium set are obtained, and shear response screening is performed to screen out a catalytic medium candidate set that meets the piezoelectric response threshold;

[0014] The structure characteristic parameters and shear triggering threshold parameters in the catalytic medium candidate set are obtained, combined with the flow velocity gradient parameters, turbulent intensity parameters and pressure pulsation amplitude parameters in the flow shear environment, shear adaptation verification is performed, and the data matching set that meets the shear excitation initial condition is solved;

[0015] It is judged whether the data matching set meets the coverage requirement of the preset catalytic medium shear excitation threshold, if it meets, the shear environment configuration parameters are output, if it does not meet, the polarization orientation parameters of the catalytic medium are adjusted and the catalytic medium candidate set is regenerated.

[0016] In a preferred embodiment, the path generation module further comprises:

[0017] The real-time turbulent energy density parameters and pulsating shear frequency parameters in the shear environment configuration parameters are extracted, piezoelectric induction modeling is performed, a fluid-solid interface shear induction distribution map is generated, the induction position distribution parameters and shear excitation intensity parameters in the fluid-solid interface shear induction distribution map are obtained, and shear response mapping is performed to generate a continuous piezoelectric potential trigger path set;

[0018] It is judged whether the continuous piezoelectric potential trigger path set completely covers the catalytic medium active site region, if it completely covers, the free radical generation position identification basic data is output, if it does not completely cover, the shear frequency parameter is adjusted and the fluid-solid interface shear induction distribution map is regenerated.

[0019] In a preferred embodiment, the diffusion modeling module further comprises:

[0020] The surface piezoelectric potential response data of the catalytic medium in the free radical generation position identification data is obtained, including the piezoelectric potential intensity parameter and the charge polarity change parameter, the local reaction active site identification is performed, and a free radical initial generation position distribution map is generated.

[0021] The generation rate parameter and the diffusion directionality parameter in the free radical initial generation position distribution map are obtained, the shear disturbance amplitude parameter and the fluid residence time parameter are combined, the diffusion evolution modeling is performed, and a free radical diffusion path dynamic model is generated.

[0022] It is judged whether the free radical diffusion path dynamic model has a diffusion path fracture or a density reduction area, if there is, local disturbance adjustment optimization is performed, and if there is not, the pollutant degradation pathway construction basis data is output.

[0023] In a preferred embodiment, the pathway regulation module further comprises:

[0024] The concentration gradient, molecular diffusion coefficient and particle size characteristic parameters in the pollutant initial distribution parameter are obtained, the free radical diffusion path dynamic trajectory is superimposed, and a pollutant degradation pathway distribution map is generated.

[0025] The reaction rate change parameter and the free radical density response parameter in the pollutant degradation pathway distribution map are obtained, the degradation dynamic curve fitting is performed, and a pollutant degradation dynamic response spectrum is generated.

[0026] It is judged whether the pollutant degradation dynamic response spectrum has a degradation rate attenuation section, if there is, the free radical release path fine tuning and the shear energy density amplitude control are performed, and if there is not, the current reaction operating state is maintained.

[0027] In a preferred embodiment, the efficiency optimization module further comprises:

[0028] The free radical yield parameter, energy consumption parameter and degradation efficiency parameter in the pollutant degradation dynamic response spectrum are obtained, the operating state comprehensive evaluation is performed, and a multi-objective efficiency evaluation data set is generated.

[0029] The energy efficiency ratio index and the degradation residual rate index in the multi-objective efficiency evaluation data set are obtained, the comparison analysis with the preset operating standard is performed, and a system operating state judgment result is generated.

[0030] It is judged whether the operating state judgment result meets the continuous operation performance standard, if it meets, the current shear environment and catalytic configuration parameters are maintained, and if it does not meet, the joint optimization of the shear parameters and the polarization response parameters is performed and the next cycle operation is entered.

[0031] In a preferred embodiment, based on the initial parameters of the catalytic medium and the initial parameters of the flow shear environment, the structural parameters of the catalytic medium and the characteristic parameters of the shear environment are extracted, the data combination that meets the preliminary excitation requirement of the piezoelectric potential is screened, and the starting matching basis for subsequent catalytic reaction operation is generated;

[0032] Λ match = {(P c ,P f ) | Y(P c ,P f ) ≥ Ξ init}

[0033] Wherein,

[0034]

[0035] Wherein Λ match is the starting matching basis data set; P c is the set of structural parameters of the catalytic medium; P f is the set of characteristic parameters of the shear environment; Y(P c , P f ) is the fitting function of the catalytic medium and the shear environment; Ξ init is the starting shear excitation threshold; d w is the wall thickness of the catalytic medium; d p is the polarization orientation scale of the catalytic medium; v f is the flow velocity gradient in the shear environment; k f is the turbulent energy density in the shear environment; P r is the pressure fluctuation amplitude in the shear environment; σ c is the piezoelectric response limit strength of the catalytic medium in the shear environment; σ t is the starting threshold strength of the piezoelectric trigger.

[0036] In a preferred embodiment, based on the starting matching basis data, the characteristic parameters of the shear environment are extracted and a set of continuous piezoelectric potential response paths is generated to describe the piezoelectric induction distribution characteristics on the fluid-solid interface;

[0037]

[0038] Wherein Φ piez (x, y, z) represents the modulus of the piezoelectric potential gradient distribution at the spatial point (x, y, z); is the piezoelectric potential spatial gradient vector; is the local flow velocity gradient in the fluid shear environment; k f (x, y, z) is the local turbulent energy density; P r (x, y, z) is the local pressure fluctuation amplitude.

[0039] In a preferred embodiment, the free radical generation position data is generated based on the continuous response path of piezoelectric potential, the free radical initial generation position information is extracted, and a controlled diffusion dynamic evolution model is established;

[0040]

[0041] wherein C rad (x,y,z,t) is the distribution of free radical concentration in (x,y,z) space and time t; D rad is the effective diffusion coefficient of free radicals in a shear environment; is the spatial Laplacian of free radical concentration; is the local flow velocity vector in a shear environment; is the first-order spatial gradient of free radical concentration; R gen is the generation rate of free radicals per unit volume per unit time.

[0042] In a preferred embodiment, based on the free radical diffusion dynamic path, a pollutant degradation reaction path is generated and the amount of free radical release is inversely controlled to optimize the degradation effect;

[0043]

[0044] wherein r deg is the pollutant degradation rate per unit volume per unit time; k deg is the effective reaction rate constant between the pollutant and the free radical; C rad is the local free radical concentration; C pol is the local pollutant concentration; alpha is the free radical reaction order; beta is the pollutant reaction order; D pol is the diffusion coefficient of the pollutant in the fluid; is the pollutant diffusion flow term.

[0045] Technical effects and advantages of the present application:

[0046] 1. By extracting and screening the adaptive combination based on the original preparation parameters of the catalytic medium and the initial setting parameters of the flow shear environment, a starting matching basis is generated, so that the system can realize continuous release of free radicals and continuous degradation of pollutants under the condition of no external energy excitation, and the technical bottleneck of traditional piezoelectric catalysis which depends on external excitation and has fast response decay is overcome;

[0047] 2. By extracting the flow velocity gradient, turbulent energy density and pressure fluctuation amplitude in the shear environment, a continuous piezoelectric potential response path of the fluid-solid interface is constructed, the controllability of the spatial distribution of piezoelectric potential excitation is realized, and the relative stability and regional relative accuracy of the free radical release process are improved;

[0048] 3. The free radical generation position identification data is generated by a continuous response path based on piezoelectric potential, and a diffusion dynamic model is established by combining shear disturbance and residence time to track the diffusion migration behavior of free radicals in a flow system in real time, thereby enhancing the relative controllability of the free radical concentration gradient;

[0049] 4. By superimposing the free radical diffusion trajectory and the initial distribution parameters of the pollutants, a pollutant degradation pathway is generated and dynamic reverse regulation is performed, so that the pollutant degradation reaction can respond to the change of the free radical release path synchronously, thereby improving the continuity and overall efficiency of the degradation reaction. BRIEF DESCRIPTION OF DRAWINGS

[0050] Fig. 1 The system module diagram of the present application.

[0051] Fig. 2 The system execution flow architecture diagram of the present application. DETAILED DESCRIPTION

[0052] 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 a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0053] With reference to the drawings in the description, Figs. 1-2 An embodiment of the present application is a pipeline internal catalytic reaction operation system based on piezoelectric potential regulation, which comprises a starting matching module, a path generation module, a diffusion modeling module, a pathway regulation module and an efficiency optimization module.

[0054] The starting matching module extracts the structure parameters of the catalytic medium and the characteristic parameters of the shear environment based on the original preparation parameters of the catalytic medium and the initial setting parameters of the flow shear environment, screens the adaptive data combination that meets the preliminary excitation requirements of piezoelectric potential, and generates a starting matching basis for subsequent catalytic reaction operation.

[0055] The path generation module extracts the flow shear characteristic parameters based on the shear environment configuration parameters and generates a set of piezoelectric potential continuous response paths.

[0056] The diffusion modeling module generates free radical generation position identification data based on the piezoelectric potential continuous response path, extracts the initial generation position information of the free radicals, performs diffusion dynamic modeling, and generates a free radical diffusion evolution path model.

[0057] The pathway regulation module generates a pollutant degradation pathway based on the dynamic model of the free radical diffusion path and implements dynamic reverse regulation of the free radical release path.

[0058] The performance optimization module generates a continuous operation performance evaluation result and outputs a shearing and catalysis joint optimization strategy based on a pollutant degradation dynamic response map and system operation state data.

[0059] The start matching module further includes: extracting preparation data of the original catalytic medium, and generating a catalytic medium set based on the preparation data; obtaining wall thickness distribution parameters, polarization orientation parameters, and surface active site density parameters in the catalytic medium set; and performing shearing response screening to screen out a catalytic medium candidate set that meets a piezoelectric response threshold.

[0060] The structure characteristic parameters and shearing trigger threshold parameters in the catalytic medium candidate set are obtained, and the flow velocity gradient parameters, turbulent intensity parameters, and pressure pulsation amplitude parameters in the flow shearing environment are combined to perform shearing adaptation verification to solve a data matching set that meets the shearing excitation initial condition.

[0061] It is judged whether the data matching set meets the coverage requirement of a preset catalytic medium shearing excitation threshold, and if so, the shearing environment configuration parameters are output, and if not, the catalytic medium polarization orientation parameters are adjusted and the catalytic medium candidate set is regenerated.

[0062] The path generation module further includes: extracting real-time turbulent energy density parameters and pulsating shearing frequency parameters in the shearing environment configuration parameters, performing piezoelectric induction modeling, generating a fluid-solid interface shearing induction distribution map, obtaining induction position distribution parameters and shearing excitation intensity parameters in the fluid-solid interface shearing induction distribution map, and performing shearing response mapping to generate a continuous piezoelectric potential trigger path set.

[0063] It is judged whether the continuous piezoelectric potential trigger path set completely covers the catalytic medium active site region, and if so, the free radical generation position identification basis data is output, and if not, the shearing frequency parameters are adjusted and the fluid-solid interface shearing induction distribution map is regenerated.

[0064] The diffusion modeling module further includes: obtaining catalytic medium surface piezoelectric potential response data in the free radical generation position identification data, the catalytic medium surface piezoelectric potential response data including piezoelectric potential intensity parameters and charge polarity change parameters, performing local reaction active site identification, and generating a free radical initial generation position distribution map.

[0065] The generation rate parameters and diffusion directionality parameters in the free radical initial generation position distribution map are obtained, and the shearing disturbance amplitude parameters and fluid residence time parameters are combined to perform diffusion evolution modeling to generate a free radical diffusion path dynamic model.

[0066] It is judged whether the free radical diffusion path dynamic model has diffusion path fracture or density reduction regions, and if so, local disturbance adjustment optimization is performed, and if not, pollutant degradation pathway construction basis data is output.

[0067] The channel regulation module further comprises: obtaining the concentration gradient, molecular diffusion coefficient and particle size characteristic parameters in the initial distribution parameters of the pollutants, superimposing the dynamic trajectory of the free radical diffusion path, and generating a pollutant degradation channel distribution map;

[0068] Obtaining the reaction rate variation parameter and free radical density response parameter in the pollutant degradation channel distribution map, performing degradation dynamic curve fitting, and generating a pollutant degradation dynamic response map;

[0069] Determine whether the pollutant degradation dynamic response map has a degradation rate attenuation section, if it exists, perform free radical release path fine tuning and shear energy density amplitude control, if it does not exist, keep the current reaction running state.

[0070] The performance optimization module further comprises: obtaining the free radical yield parameter, energy consumption parameter and degradation efficiency parameter in the pollutant degradation dynamic response map, performing comprehensive evaluation of the running state, and generating a multi-objective performance evaluation data set;

[0071] Obtaining the energy efficiency ratio index and degradation residual rate index in the multi-objective performance evaluation data set, performing comparative analysis with the preset running standard, and generating a system running state judgment result;

[0072] Determine whether the running state judgment result meets the continuous running performance standard, if it meets, keep the current shear environment and catalytic configuration parameters, if it does not meet, perform joint fine tuning optimization of shear parameters and polarization response parameters and enter the next cycle operation.

[0073] It should be noted that for the formula structure involved in the present scheme, the dimensionless term can be used as a proportional or structural adjustment factor. When combined with quantities with units, it only plays a numerical scaling role and does not introduce new physical dimensions, so it will not change or confuse the unit system of the whole expression; Such combination of "dimensionless term and quantity unit term" can be understood as the composite structure expression form commonly used in mathematical and physical modeling, which conforms to the principle of dimensional consistency and has a clear physical interpretation basis;

[0074] Secondly, in the formula structure of the present scheme, if it involves multiple variable terms with different physical units, including but not limited to time, mass or energy variables, their joint appearance is to express the cooperative modeling relationship of multiple physical mechanisms. Each variable can be mapped by a function, combined by a ratio, or normalized to form a unified structure. The unit is clear, the meaning is clear, and the overall expression conforms to the principle of dimensional consistency and the common norm of engineering modeling;

[0075] If the design of constants, weights, adjustment factors, threshold parameters, proportionality coefficients, etc. in this scheme belongs to adjustable control parameters for different application environments, their values depend on the target device configuration, data input characteristics, and performance optimization goals, and are set within a reasonable range through model verification, performance constraints, or engineering calibration in the implementation stage. Although such parameters do not have a unique value, they have a clear adjustment logic and calculation path, and belong to the deterministic setting process in engineering implementation. The purpose of such setting is to ensure that the scheme has both general adaptability and reproducibility and operability, without affecting its technical clarity and implementability.

[0076] Based on the initial preparation parameters of the catalytic medium and the initial setting parameters of the flow shear environment, the structural parameters of the catalytic medium and the characteristic parameters of the shear environment are extracted, and the data combination that meets the preliminary excitation requirement of the piezoelectric potential is screened to generate the starting matching basis for subsequent catalytic reaction operation.

[0077] By establishing the adaptation function Υ(P c ,P f ) of the catalytic medium and the shear environment, the structural characteristics of the catalytic medium and the dynamic parameters of the shear environment are comprehensively considered to form a complete screening formula without additional constants. Only when the adaptation value is higher than the starting shear excitation threshold Ξ init , it is considered that the combination has sufficient shear piezoelectric excitation potential, and the starting matching basis data set Λ match is generated.

[0078] Λ match ={(P c ,P f )∣Υ(P c ,P f )≥Ξ init}

[0079] Among them,

[0080]

[0081] Among them, Λ match is the starting matching basis data set; P c is the catalytic medium structure parameter set; P f is the shear environment characteristic parameter set; Υ(P c ,P f ) is the adaptation function of the catalytic medium and the shear environment; Ξ init is the starting shear excitation threshold; d w is the wall thickness of the catalytic medium; d p is the polarization orientation scale of the catalytic medium; v f is the flow velocity gradient in the shear environment; k f is the turbulent energy density in the shear environment; Pr is the pressure fluctuation amplitude in the shear environment; σ c is the piezoelectric response limit strength of the catalytic medium in the shear environment; σ t is the piezoelectric trigger starting threshold strength.

[0082] Based on the starting matching basic data, the shear environment characteristic parameters are extracted and a continuous piezoelectric potential response path set is generated to describe the piezoelectric induction distribution characteristics on the fluid-solid interface; the three main disturbance components (flow velocity gradient, turbulent energy, and fluctuation amplitude) of the shear environment are spatially vectorized and integrated, and the modulus value of the local piezoelectric potential gradient distribution at the spatial point (x, y, z) is obtained by squaring and square root piez (x, y, z) for extracting a continuous piezoelectric induction response path;

[0083]

[0084] wherein Φ piez (x, y, z) represents the modulus value of the piezoelectric potential gradient distribution at the spatial point (x, y, z); is the piezoelectric potential spatial gradient vector; is the local flow velocity gradient in the fluid shear environment; k f (x, y, z) is the local turbulent energy density; P r (x, y, z) is the local pressure fluctuation amplitude.

[0085] Based on the free radical generation position data generated by the piezoelectric potential continuous response path, the free radical initial generation position information is extracted, and a controlled diffusion dynamic evolution model is established; wherein the evolution path of the free radical is not only controlled by diffusion (represented as ), but also superimposed with the migration effect of the shear flow (represented as ), and the generation rate of the free radical per unit volume per unit time R gen induced by the piezoelectric potential continuously exists, which comprehensively and dynamically determines the free radical distribution evolution;

[0086]

[0087] wherein C rad (x, y, z, t) is the distribution of the free radical concentration at (x, y, z) space and time t; D rad is the effective diffusion coefficient of the free radical in the shear environment; is the spatial Laplace operator (second derivative sum) of the free radical concentration; is the local flow velocity vector in the shear environment; is the first-order spatial gradient of the free radical concentration; R gen is the generation rate of the free radical per unit volume per unit time.

[0088] Based on the dynamic path of radical diffusion, the pollutant degradation reaction path is generated and the amount of free radical release is reversely controlled to optimize the degradation effect; the pollutant degradation path is realized through the reaction term characterize the degradation rate, and simultaneously through the diffusion term characterize the physical migration process of the pollutant, and the change of the amount of free radical release can be controlled by controlling C rad influences the pollutant degradation rate r per unit volume per unit time deg , thereby dynamically optimizing the degradation efficiency;

[0089]

[0090] wherein r deg is the pollutant degradation rate per unit volume per unit time; k deg is the effective reaction rate constant between the pollutant and the free radical; C rad is the local free radical concentration; C pol is the local pollutant concentration; a is the free radical reaction order; b is the pollutant reaction order; D pol is the diffusion coefficient of the pollutant in the fluid; is the pollutant diffusion flow term.

[0091] The overall description of the above scheme is as follows: the scheme starts from the analysis of the problems existing in the traditional piezoelectric catalysis field. The existing technology usually relies on external ultrasonic excitation or high-voltage power excitation when performing piezoelectric catalytic reaction. Such dependence not only leads to complex system structure and increased energy consumption, but also, especially in the actual flowing water environment, the excitation mode of traditional materials is single, the piezoelectric response decays rapidly, the free radical release path is difficult to continue and stabilize, and finally the catalytic activity is difficult to maintain, and the pollutant degradation efficiency is reduced. Based on this, the scheme establishes an objective, that is, under the premise of no external energy excitation, the piezoelectric catalytic reaction is actively excited by using the internal shear force and water pressure change of the fluid, so as to realize the continuous and efficient degradation of the pollutant.

[0092] To achieve the above objective, the scheme first forms a data set of the structure parameters of the catalytic medium and the characteristic parameters of the shear environment by extracting the original preparation parameters of the catalytic medium and the initial setting parameters of the flowing shear environment. Then, by constructing the adaptation relationship between the shear environment and the medium structure, the shear response screening and adaptation determination are performed, the catalytic medium and the flowing environment combination that meets the preliminary excitation requirement of the piezoelectric potential are screened out, and the starting matching basis for subsequent reaction control is generated. It is ensured that the material structure and the flowing field condition can effectively cooperate in actual operation, which lays a structure dynamics foundation for continuous piezoelectric excitation.

[0093] After obtaining the initial matching basis, the core disturbance characteristic parameters in the shearing environment are extracted, including the flow velocity gradient, turbulent energy density and pressure fluctuation amplitude, and these disturbance characteristics are integrated through spatial mapping to generate a continuous piezoelectric potential response path set on the fluid-solid interface; this path set demarcates the spatial region in the flow system where piezoelectric induction can be formed, solving the problem of uncontrollable excitation distribution in traditional methods and providing a guarantee for the spatial accuracy of the free radical release process;

[0094] Based on the generated piezoelectric potential response path, the scheme identifies the initial generation position of free radicals by extracting the local piezoelectric potential intensity and polarity change information on the surface of the catalytic medium; then, combined with the shearing disturbance amplitude and fluid residence time, a dynamic diffusion evolution model of free radicals under the action of shearing-diffusion is established; through this diffusion modeling process, the scheme can not only track the migration and aggregation of free radicals in the flow environment in real time, but also dynamically reflect the change of free radical concentration gradient, laying a foundation for the dynamic regulation of subsequent pollutant degradation reactions;

[0095] In the pollutant degradation link, the scheme generates a pollutant degradation pathway by superimposing the initial concentration distribution parameters of the pollutant and the diffusion trajectory of the free radicals, and optimizes the degradation effect through dynamic regulation of the free radical release path; the pollutant degradation reaction is constructed as a dynamic response process determined by the concentration of free radicals and pollutants, and the influence of the pollutant's own diffusion behavior is introduced simultaneously to ensure that the overall reaction process is both controlled and has sufficient dynamic adaptability;

[0096] Finally, in order to ensure that the system can maintain degradation performance in long-term operation, a continuous operation state monitoring and self-adaptive optimization mechanism based on multi-objective efficiency evaluation is designed; by real-time acquisition of key performance indicators such as free radical yield, energy consumption and pollutant degradation efficiency, comparison analysis with the preset standard is performed to dynamically judge the operation state; when the operation performance is detected to be degraded, joint fine tuning of the shearing environment parameters and the polarization state of the catalytic medium is performed to realize periodic self-optimization, ensuring the stability and persistence of the catalytic reaction process;

[0097] In summary, the scheme is based on a deep understanding of the mechanical behavior and piezoelectric reaction mechanism in the flow catalytic environment, aiming to actively utilize the internal dynamic driving of the flow system to drive the catalytic reaction process without relying on external energy input; each stage is set around the goal of continuous free radical release and continuous pollutant degradation.

[0098] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A pipe-based catalytic reaction operation system based on piezoelectric potential regulation, comprising a starting matching module, a path generation module, a diffusion modeling module, a pathway regulation module, and an efficiency optimization module, characterized in that: The starting matching module extracts the structure parameters of the catalytic medium and the characteristic parameters of the shear environment based on the original preparation parameters of the catalytic medium and the initial setting parameters of the flow shear environment, screens the adaptive data combination that meets the preliminary excitation requirements of the piezoelectric potential, and generates a starting matching basis for subsequent catalytic reaction operation; The path generation module extracts the flow shear characteristic parameters based on the shear environment configuration parameters and generates a set of piezoelectric potential continuous response paths; The diffusion modeling module extracts the initial generation position information of free radicals based on the free radical generation position data generated by the piezoelectric potential continuous response path, performs diffusion dynamic modeling, and generates a free radical diffusion evolution path model; The pathway regulation module generates a pollutant degradation pathway based on the dynamic model of the free radical diffusion path and implements dynamic reverse regulation of the free radical release path; The efficiency optimization module generates continuous operation efficiency evaluation results based on the pollutant degradation dynamic response spectrum and system operation state data, and outputs shear and catalytic joint optimization strategies; Based on the original preparation parameters of the catalytic medium and the initial setting parameters of the flow shear environment, the structure parameters of the catalytic medium and the characteristic parameters of the shear environment are extracted, the data combination that meets the preliminary excitation requirements of the piezoelectric potential is screened, and the starting matching basis for subsequent catalytic reaction operation is generated; Based on the starting matching basis data, the shear environment characteristic parameters are extracted and a set of continuous piezoelectric potential response paths are generated to describe the piezoelectric induction distribution characteristics on the fluid-solid interface; wherein is a set of initial matching base data; is a set of catalytic medium structure parameters; is a set of shear environment characteristic parameters; is a fitting function of catalytic medium and shear environment; is an initial shear excitation threshold; is a catalytic medium wall thickness dimension; is a catalytic medium polarization orientation dimension; is a flow velocity gradient in the shear environment; is a turbulent energy density in the shear environment; is a pressure fluctuation amplitude in the shear environment; is a piezoelectric response limit strength of the catalytic medium under the shear environment; is a piezoelectric trigger initial threshold strength; Based on the free radical generation position data generated by the piezoelectric potential continuous response path, the initial generation position information of free radicals is extracted, and a controlled diffusion dynamic evolution model is established; wherein represents the modulus of the piezoelectric potential gradient distribution at a spatial point ; is the piezoelectric potential spatial gradient vector; is the local flow velocity gradient in a fluid shear environment; is the local turbulent kinetic energy density; is the local pressure fluctuation amplitude; Based on the free radical diffusion dynamic path, a pollutant degradation reaction pathway is generated and the amount of free radical release is reversely regulated to optimize the degradation effect; wherein is the concentration of radicals at space and time ; is the effective diffusion coefficient of radicals in a shear environment; is the spatial Laplacian of the radical concentration; is the local flow velocity vector in a shear environment; is the first spatial gradient of the radical concentration; is the rate of radical generation per unit volume per unit time; The starting matching module further comprises: wherein is the pollutant degradation rate per unit volume per unit time; is the effective reaction rate constant between the pollutant and the free radicals; is the local free radical concentration; is the local pollutant concentration; is the free radical reaction order; is the pollutant reaction order; is the pollutant diffusion coefficient in the fluid; is the pollutant diffusion flux term.

2. The system according to claim 1, wherein, The preparation data of the original catalytic medium is extracted, and a catalytic medium set is generated based on this, then the wall thickness distribution parameters, polarization orientation parameters, and surface active site density parameters in the catalytic medium set are obtained, and shear response screening is performed to screen out a catalytic medium candidate set that meets the piezoelectric response threshold; The structure characteristic parameters and shear triggering threshold parameters in the catalytic medium candidate set are obtained, combined with the flow velocity gradient parameters, turbulent intensity parameters, and pressure fluctuation amplitude parameters in the flow shear environment, shear adaptation verification is performed, and the data matching set that meets the shear excitation starting conditions is solved; Determine whether the data matching set meets the coverage requirements of the preset catalytic medium shear excitation threshold, if it meets, output the shear environment configuration parameters, if it does not meet, adjust the polarization orientation parameters of the catalytic medium and regenerate the catalytic medium candidate set. The path generation module further comprises:

3. The system according to claim 2, wherein, ​ Extract the real-time turbulent energy density parameter and the fluctuating shear frequency parameter in the shear environment configuration parameter, execute the piezoelectric induction modeling, generate the fluid-solid interface shear induction distribution map, obtain the induction position distribution parameter and the shear excitation intensity parameter in the fluid-solid interface shear induction distribution map, execute the shear response mapping, and generate a continuous piezoelectric potential trigger path set; Determine whether the continuous piezoelectric potential trigger path set completely covers the catalytic medium active site region, if it is completely covered, output the free radical generation position identification basis data, if it is not completely covered, adjust the shear frequency parameter and regenerate the fluid-solid interface shear induction distribution map.

4. The system according to claim 3, wherein, The diffusion modeling module further comprises: Obtain the catalytic medium surface piezoelectric potential response data in the free radical generation position identification data, the catalytic medium surface piezoelectric potential response data includes the piezoelectric potential intensity parameter and the charge polarity change parameter, execute the local reaction active site identification, and generate the free radical initial generation position distribution map; Obtain the generation rate parameter and the diffusion directionality parameter in the free radical initial generation position distribution map, combine the shear disturbance amplitude parameter and the fluid residence time parameter, execute the diffusion evolution modeling, and generate the free radical diffusion path dynamic model; Determine whether the free radical diffusion path dynamic model has a diffusion path fracture or density reduction area, if it exists, execute the local disturbance adjustment optimization, if it does not exist, output the pollutant degradation pathway construction basis data.

5. The piezopotential-based in-pipe catalytic reaction system according to claim 4, wherein, The pathway regulation module further comprises: Obtain the concentration gradient, molecular diffusion coefficient and particle size characteristic parameters in the pollutant initial distribution parameter, superimpose the free radical diffusion path dynamic trajectory, and generate the pollutant degradation pathway distribution map; Obtain the reaction rate change parameter and the free radical density response parameter in the pollutant degradation pathway distribution map, execute the degradation dynamic curve fitting, and generate the pollutant degradation dynamic response spectrum; Determine whether the pollutant degradation dynamic response spectrum has a degradation rate attenuation section, if it exists, execute the free radical release path fine tuning and the shear energy density amplitude control, if it does not exist, maintain the current reaction running state.

6. The piezopotential-based in-pipe catalytic reaction operating system according to claim 5, wherein, The efficiency optimization module further comprises: Obtain the free radical yield parameter, energy consumption parameter and degradation efficiency parameter in the pollutant degradation dynamic response spectrum, execute the running state comprehensive evaluation, and generate a multi-objective efficiency evaluation data set; Obtain the energy efficiency ratio index and the degradation residual rate index in the multi-objective efficiency evaluation data set, execute the comparative analysis with the preset running standard, and generate a system running state judgment result; Determine whether the running state judgment result meets the continuous running performance standard, if it meets, maintain the current shear environment and catalytic configuration parameter, if it does not meet, execute the joint optimization of the shear parameter and the polarization response parameter and enter the next cycle operation.

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