A filtering method and system for treating and recycling waste gas containing glue

Abstract

The present application relates to a kind of filter method and system of containing glue waste gas treatment and cyclic regeneration, belong to industrial waste gas treatment technical field.Therein, the method includes: the critical control of the state of gelatinous matter adhesion in containing glue waste gas, based on the compensation filtering algorithm of gelatinous matter separation, the critical penetration block of gelatinous matter filtration coverage is carried out, and containing glue waste gas adsorption filtering parameter is obtained;Guiding model is constructed to waste gas cyclic regeneration, the deposition evolution stage of containing glue waste gas is segmented fitting, the phase transition characteristic quantity of gelatinous matter from discrete adhesion state to continuous film state is extracted, and cyclic regeneration recovery control signal is output;Pressure drop cyclic matching coefficient is calculated, and according to the deposition evolution stage after segmented fitting, the intensity of containing glue waste gas cyclic regeneration is adjusted, and film state solidification critical threshold is set;Based on filtering cyclic control mechanism, the error feedback correction of pore recovery degree after gel layer regeneration is carried out, and the closed-loop cyclic regeneration of containing glue waste gas cyclic filtration is controlled.

Description

Technical Field

[0001] This invention belongs to the field of industrial waste gas treatment technology, specifically relating to a filtration method and system for treating and recycling adhesive-containing waste gas. Background Technology

[0002] Adhesive-containing waste gas is widely present in industrial processes such as spraying, composite material processing, electronic packaging, adhesive preparation, and printing coating. The emitted gases contain a large number of high-molecular-weight colloidal particles with adhesive, deformable, and easily agglomerated properties. These particles easily adhere and deposit on the surface of filter media, gradually forming a continuous colloidal film structure, leading to rapid shrinkage of filter pores, a sharp increase in pressure drop, and a significant decrease in the effective flux of the filter media. Existing waste gas filtration technologies mostly employ fiber filter media, electrostatic capture, or washing absorption, primarily focusing on particle capture efficiency and initial resistance control. However, they lack effective means to identify the nonlinear phase transition behavior of colloidal particles evolving from discrete adhesion to a continuous film state during deposition, making it difficult to distinguish between reversible retention deposition and irreversible adhesion deposition. This easily leads to over-regeneration or under-regeneration, thereby shortening filter media life and increasing operating energy consumption. Furthermore, traditional regeneration control often relies on fixed time or pressure drop threshold triggering, failing to consider the dynamic stability state of the deposited structure and the pore topology recovery capability. This results in a mismatch between the regeneration process and the actual peeling kinetics of the colloidal layer, making it difficult to achieve synergistic optimization of deposition suppression and structural recovery. Therefore, there is an urgent need for a method for filtering and recycling colloid-containing waste gas that can sense the phase evolution of colloidal deposition, establish a deposition-regeneration coupling relationship, and achieve adaptive regulation of the cycle. Summary of the Invention

[0003] To address the aforementioned problems in the existing technology, this invention provides a filtration method for treating and recycling adhesive-containing waste gas. The objective of this invention can be achieved through the following technical solutions: S1: Obtain the adsorption characteristics of adhesive-containing waste gas, establish the deposition pressure drop change curve, critically regulate the adhesion state of adhesive in adhesive-containing waste gas, set the separation criteria between effective adhesion amount and reversible retention amount in adhesive-containing waste gas based on the adhesive separation compensation filtration algorithm, and combine the nonlinear stable range of pressure drop gradient to critically block the penetration of adhesive filtration coverage, thereby obtaining the adsorption and filtration parameters of adhesive-containing waste gas. S2: Based on the adsorption and filtration parameters of the colloid-containing waste gas, a waste gas circulation and regeneration guidance model is constructed. Combined with the trajectory of the waste gas colloid concentration change within the deposition pressure drop change curve, the deposition evolution stage of the colloid-containing waste gas is segmented and fitted. The phase transition characteristics of the colloid from discrete attachment state to continuous film state are extracted. Based on the colloid film adhesion attenuation framework, the reversible peeling weight of the waste gas colloid layer is modeled, and the circulation and regeneration recovery control signal is output. S3: Use the cyclic regeneration recovery control signal as the collaborative scheduling driving quantity for the filtration and regeneration control of adhesive-containing waste gas, input the flow field adhesive layer peeling response function, calculate the pressure drop cyclic matching coefficient, adjust the cyclic regeneration intensity of adhesive-containing waste gas according to the segmented fitting deposition evolution stage, dynamically gain weight the phase transition characteristic quantity, and set the critical threshold for film solidification. S4: Based on the critical threshold of membrane solidification, the adsorption and filtration parameters and the cyclic regeneration and recovery control signal of the adhesive-containing waste gas are periodically attenuated and corrected. Based on the filtration cycle regulation mechanism, the degree of pore recovery after adhesive layer regeneration is corrected by error feedback, and the closed-loop cyclic regeneration of the cyclic filtration of adhesive-containing waste gas is controlled.

[0004] Specifically, the deposition pressure drop variation curve is expanded in multiple scales based on the adsorption characteristics of the colloid-containing waste gas. The adsorption characteristics of the colloid-containing waste gas include abnormal colloid deposition signals and interfacial adhesion energy density. The relative growth gradient of the deposition pressure vector of the colloid-containing waste gas within a continuous time window is calculated, and the relative growth gradient is used as the deposition activity of the colloid-containing waste gas. The integral drift term of the colloid filtration state of the waste gas at the current moment is critically controlled.

[0005] Specifically, the adhesive separation compensation filtration algorithm decomposes the deposition mass of adhesive particles in the waste gas on the fiber surface into effective adhesion amount and reversible retention amount. The effective adhesion amount is the structural adhesion deposition mass where the deformation recovery rate of the adhesive particles is lower than the preset elastic rebound threshold. The reversible retention amount is the transient retention deposition mass where the contact morphology of the adhesive particles maintains reversible deformation characteristics. The algorithm introduces the local velocity gradient field in the pores and the evolution rate of the contact area of ​​the adhesive particles as compensation correction factors to perform gradient attenuation compensation and flow field redistribution correction on the decomposition results of the adhesive deposition mass in the waste gas, and sets the adhesive deposition separation boundary.

[0006] Specifically, the method for constructing the nonlinear stable interval of the pressure drop gradient is as follows: perform second derivative continuity analysis on the deposition pressure drop change curve, extract the first gradient vector of the pressure drop change rate and the second gradient vector of the curvature change, and reconstruct the pressure drop change space of the colloid-containing waste gas. Define the transition zone where the pressure drop growth rate transitions from linear to exponentially increasing as the deposition instability precursor zone, and define the interval where the pressure drop fluctuation amplitude converges with time as the nonlinear stable interval. When the magnitude of the first gradient vector remains in a bounded time decay state, and the change amplitude of the second gradient vector satisfies the disturbance response negative feedback convergence condition, the current pressure drop segment is determined as a recyclable and regenerable operating region, and the nonlinear stable interval of the pressure drop gradient is constructed.

[0007] Specifically, the waste gas regeneration guidance model reconstructs the evolution mode of the target regeneration center in the waste gas colloid deposition space based on the adsorption and filtration parameters of the colloid-containing waste gas. It performs steady-state attraction domain mapping on the deposition pressure drop state vector to obtain the colloid stable domain state matrix. Based on the colloid film adhesion attenuation framework, it calculates the deviation gradient between the current deposition pressure drop change and the target stable domain, generates a regeneration correction vector, and, based on the convergence characteristics of the nonlinear stable interval of the deposition pressure drop gradient, regards the colloid-containing waste gas deposition state as a controlled colloid layer dynamic parameter. It nonlinearly adjusts the reversible stripping weight of the colloid-containing waste gas in different deposition directions and outputs a regeneration recovery control signal.

[0008] Specifically, the phase transition characteristic quantity serves as a multi-parameter coupled index for the transformation of waste gas colloids from a discrete particle attachment state to a continuous colloid film coverage state. It includes the colloid contact area growth rate and the pore connectivity attenuation coefficient, characterizing the critical phase transition state of the colloid layer's evolution from discrete deposition to a continuous structural film state.

[0009] Specifically, the adhesive film adhesion attenuation framework includes a time modulation layer and a spatial pointing layer; The time modulation layer: based on the rate of change of colloidal deposition pressure drop and the regeneration convergence trend, sets the regeneration trigger interval and duration, and responds to colloidal mutations through the short-time response channel, while gradually reducing the regeneration dependence through the long-time adaptation channel; The spatial pointing layer: Based on the gradient vector of the colloid deviation and the adjustment result of the direction-sensitive weight, the circulating regeneration signal is vectorized and distributed along the flow degree of freedom of the colloid-containing waste gas to form a direction guidance effect and output a non-single forced signal that can sense the regeneration correction direction.

[0010] Specifically, the process of calculating the pressure drop cycle matching coefficient using the flow field adhesive layer peeling response function is as follows: the adhesive layer is regarded as an equivalent continuous medium with time dependence, the cooperative scheduling driving quantity is input, the ratio of the amount of filtration and release of the adhesive layer to the amount of structural recovery within a unit period is calculated, the settlement recovery increment is periodically rolled smoothed according to the ratio to obtain the pressure drop cycle matching coefficient, and when the matching coefficient is higher than the set adaptive threshold, it is determined that there is a resonance enhancement relationship between the current target regeneration center evolution mode and the adhesive layer peeling dynamics, triggering the gain-limited waste gas recirculation regeneration.

[0011] Specifically, the depositional evolution stages include the film formation period and the pressure drop bridging period; The film formation period: the colloidal adhesion process is mapped as a phase transition from discrete to continuous, the colloidal film thickness parameter is introduced, the position state of the waste gas colloidal layer is modeled, and the convergence constraint is applied to the film path in combination with the historical adhesion trajectory. The pressure drop bridging period involves applying an adjustable gain to the colloidal pressure drop correction vector in different bridging directions, calculating the deviation gradient of the target stable domain during the pressure drop projection change, and adjusting the convergence performance of the bridging trajectory in conjunction with the convergence constraint of the film path during the film formation period. This serves as an intermediate station for the adaptive bridging closed loop of colloidal deposition in the cyclic regeneration recovery space.

[0012] Specifically, the method for setting the critical threshold for film solidification is as follows: the growth rate of the contact area of ​​the gel, the attenuation coefficient of pore connectivity and the acceleration of the pressure drop growth are used as three-dimensional state variables, and the historical deposition behavior is weighted and integrated to form a film evolution memory factor. When the output value of the discrimination function exceeds the boundary of the preset stable attraction domain and the memory factor continues to be in an enhancing trend, the current state is determined as the critical point of irreversible film solidification, which is used as the critical threshold for film solidification.

[0013] Specifically, the filtration cycle control mechanism combines the deposition pressure drop gradient state vector, phase transition characteristic quantity and pressure drop cycle matching coefficient to construct a cycle joint feedback space, performs time series prediction and stability domain constraint projection, and after each regeneration cycle, performs parameter drift compensation on the waste gas adsorption and filtration parameters based on the degree of topological restoration of the pores of the colloid-containing waste gas and the recalibration results of the interface energy decay, and implements adaptive amplitude limiting adjustment on the trigger time, disturbance input intensity and duration of the next cycle regeneration cycle.

[0014] Specifically, a filtration system for treating and recycling adhesive-containing waste gas includes: Deposition sensing adsorption module: acquires the adsorption characteristics of adhesive waste gas, establishes the deposition pressure drop change curve, performs critical control on the adhesion state of adhesive in adhesive waste gas, sets the separation criteria between effective adhesion and reversible retention in adhesive waste gas based on the adhesive separation compensation filtration algorithm, and combines the nonlinear stable range of pressure drop gradient to perform critical permeation blocking on the adhesive filtration coverage rate, thereby obtaining the adsorption and filtration parameters of adhesive waste gas. The recycling and regeneration guidance module constructs a waste gas recycling and regeneration guidance model based on the adsorption and filtration parameters of the colloid-containing waste gas. Combining the trajectory of the waste gas colloid concentration change within the deposition pressure drop change curve, it performs segmented fitting on the deposition evolution stage of the colloid-containing waste gas, extracts the phase transition characteristics of the colloid from discrete attachment state to continuous film state, and models the reversible peeling weight of the waste gas colloid layer based on the colloid film adhesion attenuation framework, and outputs the recycling and regeneration recovery control signal. Control threshold adjustment module: The cyclic regeneration recovery control signal is used as the collaborative scheduling driving quantity for the filtration and regeneration control of adhesive-containing waste gas. The flow field adhesive layer peeling response function is input, the pressure drop cyclic matching coefficient is calculated, and the cyclic regeneration intensity of adhesive-containing waste gas is adjusted according to the deposition evolution stage after segmented fitting. The phase transition characteristic quantity is dynamically weighted by gain, and the critical threshold of film solidification is set. The cyclic extension control module: Based on the critical threshold of membrane solidification, it performs periodic attenuation correction on the adsorption and filtration parameters of the adhesive-containing waste gas and the cyclic regeneration and recovery control signal, and based on the filtration cycle control mechanism, it performs error feedback correction on the degree of pore recovery after adhesive layer regeneration, and controls the closed-loop cyclic regeneration of the cyclic filtration of adhesive-containing waste gas.

[0015] The beneficial effects of this invention are as follows: This invention, by introducing a nonlinear stability interval determination mechanism for the deposition pressure drop gradient and an adhesive separation compensation filtration algorithm, achieves a precise distinction between effectively adhered deposits and reversibly retained deposits in adhesive-containing waste gas. It enables critical permeation blocking while the adhesive layer is still structurally adjustable, preventing the adhesive from prematurely evolving from a discrete adhered state to a continuous film state, thus inhibiting irreversible blockage at its source. Simultaneously, by constructing a waste gas regeneration guidance model and an adhesive film adhesion attenuation framework, the deposition phase transition characteristics are introduced into the regeneration control process, transforming the regeneration triggering condition from empirical threshold control to mechanism-driven determination, significantly improving the matching degree between regeneration intervention and adhesive layer filtration. Furthermore, this invention calculates the pressure drop cycle matching coefficient using the flow field adhesive layer peeling response function and combines periodic attenuation correction and pore recovery error feedback to achieve multi-cycle adaptive closed-loop control of the filtration-regeneration process, ensuring the filtration system operates within the nonlinear stability interval of the pressure drop gradient over the long term. Therefore, it not only effectively delays the degradation of the filter material's pore structure and extends its service life but also reduces regeneration energy consumption and system operating resistance fluctuations, improving the stability and utilization efficiency of adhesive-containing waste gas treatment. Attached Figure Description

[0016] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0017] Figure 1 This is a schematic diagram of the framework of a filtration method and system for treating and recycling adhesive-containing waste gas according to the present invention.

[0018] Figure 2 This is a schematic diagram of the deposition evolution stage in a filtration method and system for treating and recycling adhesive-containing waste gas according to the present invention. Detailed Implementation

[0019] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided.

[0020] Please see Figure 1 A filtration method for treating and recycling adhesive-containing waste gas: S1: Obtain the adsorption characteristics of adhesive-containing waste gas, establish the deposition pressure drop change curve, critically regulate the adhesion state of adhesive in adhesive-containing waste gas, set the separation criteria between effective adhesion amount and reversible retention amount in adhesive-containing waste gas based on the adhesive separation compensation filtration algorithm, and combine the nonlinear stable range of pressure drop gradient to critically block the penetration of adhesive filtration coverage, thereby obtaining the adsorption and filtration parameters of adhesive-containing waste gas. S2: Based on the adsorption and filtration parameters of the colloid-containing waste gas, a waste gas circulation and regeneration guidance model is constructed. Combined with the trajectory of the waste gas colloid concentration change within the deposition pressure drop change curve, the deposition evolution stage of the colloid-containing waste gas is segmented and fitted. The phase transition characteristics of the colloid from discrete attachment state to continuous film state are extracted. Based on the colloid film adhesion attenuation framework, the reversible peeling weight of the waste gas colloid layer is modeled, and the circulation and regeneration recovery control signal is output. S3: Use the cyclic regeneration recovery control signal as the collaborative scheduling driving quantity for the filtration and regeneration control of adhesive-containing waste gas, input the flow field adhesive layer peeling response function, calculate the pressure drop cyclic matching coefficient, adjust the cyclic regeneration intensity of adhesive-containing waste gas according to the segmented fitting deposition evolution stage, dynamically gain weight the phase transition characteristic quantity, and set the critical threshold for film solidification. S4: Based on the critical threshold of membrane solidification, the adsorption and filtration parameters and the cyclic regeneration and recovery control signal of the adhesive-containing waste gas are periodically attenuated and corrected. Based on the filtration cycle regulation mechanism, the degree of pore recovery after adhesive layer regeneration is corrected by error feedback, and the closed-loop cyclic regeneration of the cyclic filtration of adhesive-containing waste gas is controlled.

[0021] In this embodiment, the deposition pressure drop change curve is expanded in multiple scales based on the adsorption characteristics of the adhesive-containing waste gas. The adsorption characteristics of the adhesive-containing waste gas include abnormal colloidal deposition signals and interfacial adhesion energy density. The relative growth gradient of the deposition pressure vector of the adhesive-containing waste gas within a continuous time window is calculated, and the relative growth gradient is used as the deposition activity of the adhesive-containing waste gas. The integral drift term of the current time of the waste gas colloidal filtration state is critically controlled.

[0022] In this embodiment, the adhesive separation compensation filtering algorithm decomposes the deposition mass of adhesive particles in the waste gas on the fiber surface into effective adhesion amount and reversible retention amount. The effective adhesion amount is the structural adhesion deposition mass where the deformation recovery rate of the adhesive particles is lower than the preset elastic rebound threshold. The reversible retention amount is the transient retention deposition mass where the contact morphology of the adhesive particles maintains reversible deformation characteristics. The algorithm also introduces the local velocity gradient field in the pores and the evolution rate of the contact area of ​​the adhesive particles as compensation correction factors to perform gradient attenuation compensation and flow field redistribution correction on the decomposition results of the adhesive deposition mass in the waste gas, and sets the adhesive deposition separation boundary.

[0023] In this embodiment, the method for constructing the nonlinear stable interval of the pressure drop gradient is as follows: perform second derivative continuity analysis on the deposition pressure drop change curve, extract the first gradient vector of the pressure drop change rate and the second gradient vector of the curvature change, and reconstruct the pressure drop change space of the colloid-containing waste gas. Define the transition zone where the pressure drop growth rate transitions from linear to exponentially increasing as the deposition instability precursor zone, and define the interval where the pressure drop fluctuation amplitude converges with time as the nonlinear stable interval. When the magnitude of the first gradient vector remains in a bounded time decay state, and the change amplitude of the second gradient vector satisfies the disturbance response negative feedback convergence condition, the current pressure drop segment is determined as a recyclable and regenerable operating region, and the nonlinear stable interval of the pressure drop gradient is constructed.

[0024] In this embodiment, a rubber processing plant is used as an example to treat exhaust gas containing rubber particles (hereinafter referred to as rubber-containing exhaust gas), such as volatile organic compounds (VOCs) and rubber mist generated during rubber vulcanization. The plant production line includes an exhaust gas collection point (Exhaust Inlet A), a fiber filter (Filter B, using glass fiber media with a porosity of 0.85), a regeneration unit (Regenerator C, using high-pressure air pulse stripping), and a circulation pipeline (Loop D). The exhaust gas flow rate is 500 m³ / h. 3 / h, the initial gel concentration was 200 mg / m³ 3 The goal is to increase the efficiency of gel filtration to over 95% and achieve the recycling and regeneration of the filter media to reduce the frequency of replacement.

[0025] The system employs industrial sensors for real-time monitoring: a differential pressure sensor (accuracy ±0.1 Pa) collects pressure drop data, a laser particle counter monitors colloid concentration, and a PLC controller runs the algorithm. The entire process is implemented through a central server, integrating Python-based algorithms, using NumPy and SciPy libraries for curve fitting and gradient calculation, SymPy for symbolic modeling, and Matplotlib for auxiliary visualization simulation. Modeling is performed using ANSYS Fluent software to simulate the flow field and colloid peeling process.

[0026] The implementation process is as follows: The adsorption characteristics of colloid-containing waste gas were obtained, the deposition pressure drop change curve was established, and the critical control was carried out to obtain the adsorption and filtration parameters. Acquiring adsorption characteristics: Abnormal colloidal deposition signals (e.g., sudden concentration peak of 300 mg / m³) were collected using sensors. 3 ) and interfacial adhesion energy density (calculated as 2.5 J / m 2 (Based on particle-fiber van der Waals forces).

[0027] Establishment of depositional pressure drop curves: Multi-scale time series expansion was performed, and NumPy simulation was used to model the curves: Time series t = np.linspace(0, 100, 1000), pressure drop ΔP = 0.05 * t + 0.01 * t**2. The relative growth gradient was calculated as: g(t) = (ΔP(t+Δt) - ΔP(t)) / ΔP(t), where Δt = 1 min. Depositional activity = ∫g(t) dt (integral drift term), with adjustment triggered when the critical control threshold > 0.2. Example: At t = 50 min, ΔP ≈ 27.55 Pa, first-order gradient ≈ 1.05 Pa / min, second-order gradient ≈ 0.02 Pa / min. 2 .

[0028] Adhesive separation compensation filtering algorithm: Decompose deposition mass m total = 150 g / m 2 For effective adhesion amount m adh = 100 g (deformation recovery rate < 0.3 threshold) and reversible retention m rev = 50 g (reversible deformation > 0.7). Introducing compensation factors: pore velocity gradient ∇v = 0.1 m / s / m, contact area evolution rate da / dt = 0.02 m 2 / min, set the separation boundary to 1.5.

[0029] Nonlinear stability region of pressure drop gradient: Second derivative analysis, using np.gradient to calculate the first-order vector [1.05,...] and the second-order vector [0.02,...]. Transition region (linear to exponential): t=0-22.4 min is defined as the instability precursor region; Stable region: t=0-22.4 min (bounded decay of modulus, second-order <0.1). Adsorption filtration parameters are obtained: {ΔP} stable [0-22.4min, ΔP=0-11.2 Pa], Coverage: 0.75, Blocking threshold: 0.8}.

[0030] A waste gas recirculation and regeneration guidance model is constructed, phase transition characteristic quantities are extracted, and recovery control signals are output. Guided model for exhaust gas recirculation and regeneration: Reconstructing the deposition space using SciPy curves fit Piecewise fitting evolution stage: Discrete attachment (t=0-10 min, linear fitting R0) 2=0.98) to continuous film state (t=10-50 min, exponential fit). Phase transition characteristics: contact area growth rate = 0.15 / min, pore connectivity attenuation coefficient = 0.08. Steady-state attraction domain mapping: state matrix M = [[ΔP, g(t)], ...], deviation gradient ∇dev = 0.12 Pa / min.

[0031] Adhesive film adhesion attenuation framework: Time modulation layer: trigger interval = 5 min, duration = 2 min; short-term channel response abrupt change (e.g., concentration +50%), long-term adaptation weakens dependence (attenuation rate 0.9).

[0032] Spatial pointing layer: Vectorized signal distribution along the flow direction (x,y,z), with directional weights [0.6,0.3,0.1].

[0033] Output control signal: {Regeneration intensity: medium, Stripping weight: 0.7}.

[0034] Input control signal, calculate pressure drop cycle matching coefficient, adjust regeneration intensity, and set membrane curing threshold. Flow field adhesive layer peeling response function: Input driving quantity, calculate matching coefficient = release amount / recovery amount = 120 g / 100 g = 1.2 (periodic rolling smoothing, window = 3 periods). Gain-limited regeneration is triggered when the value exceeds the threshold of 1.0 (gain = 0.85). ANSYS simulated flow field: adhesive layer equivalent medium, peeling response time < 1 min.

[0035] Adjustment of sedimentary evolution stages: Film formation period: thickness parameter h = 0.5 mm, convergence constraint ε = 0.01.

[0036] Pressure drop bridging period: Correction vector [0.1, 0.05] Pa, deviation gradient 0.08, adjustment bridging trajectory convergence rate 0.95.

[0037] Dynamic gain weighted transition characteristic: growth rate * 1.2 = 0.18 / min.

[0038] Critical threshold for membrane curing: Three-dimensional variables [growth rate 0.15, decay rate 0.08, acceleration 0.02], memory factor ∫w(t) dt = 0.65 (w = weighted integral). When the discriminant function f > 0.5 boundary, the threshold = 0.7 (irreversible curing point).

[0039] Periodic decay correction is performed to correct errors through feedback and control closed-loop regeneration. Cycle attenuation correction: parameter correction, attenuation rate = 0.05 / cycle (e.g., coverage decreases from 0.75 to 0.71).

[0040] Filtration cycle regulation mechanism: Constructing a feedback space and using time-series prediction (ARIMA model, Pythonstatsmodels): Predicted porosity recovery for the next cycle = 0.92 (actual 0.90, error 0.02). Parameter drift compensation: Adsorption parameter +0.01. Adaptive limiting: Trigger time t+5 min, intensity medium, duration 2 min. Control closed loop: After each cycle, recalibrate the interfacial energy (from 2.5 to 2.3 J / m). 2 ), to achieve stable regeneration.

[0041] In this embodiment, the waste gas regeneration guidance model reconstructs the evolution mode of the target regeneration center in the waste gas colloid deposition space based on the adsorption and filtration parameters of the colloid-containing waste gas. It performs steady-state attraction domain mapping on the deposition pressure drop state vector to obtain the colloid stable domain state matrix. Based on the colloid film adhesion attenuation framework, it calculates the deviation gradient between the current deposition pressure drop change and the target stable domain, generates a regeneration correction vector, and regards the colloid-containing waste gas deposition state as a controlled colloid layer dynamic parameter according to the convergence characteristics of the nonlinear stable interval of the deposition pressure drop gradient. It then performs nonlinear adjustment on the reversible stripping weight of the colloid-containing waste gas in different deposition directions and outputs a regeneration recovery control signal.

[0042] In this embodiment, the phase transition characteristic quantity is a multi-parameter coupled index for the transformation of the waste gas colloid from a discrete particle attachment state to a continuous colloid film coverage state. It includes the colloid contact area growth rate and the pore connectivity attenuation coefficient, and characterizes the critical phase transition state of the colloid layer from discrete deposition to continuous structural film state.

[0043] In this embodiment, the film adhesion attenuation framework includes a time modulation layer and a spatial pointing layer; The time modulation layer: based on the rate of change of colloidal deposition pressure drop and the regeneration convergence trend, sets the regeneration trigger interval and duration, and responds to colloidal mutations through the short-time response channel, while gradually reducing the regeneration dependence through the long-time adaptation channel; The spatial pointing layer: Based on the gradient vector of the colloid deviation and the adjustment result of the direction-sensitive weight, the circulating regeneration signal is vectorized and distributed along the flow degree of freedom of the colloid-containing waste gas to form a direction guidance effect and output a non-single forced signal that can sense the regeneration correction direction.

[0044] In this embodiment, the process of calculating the pressure drop cycle matching coefficient of the flow field adhesive layer peeling response function is as follows: the adhesive layer is regarded as an equivalent continuous medium with time dependence, the cooperative scheduling driving quantity is input, the ratio of the filtering release amount of the adhesive layer to the structural recovery amount in a unit period is calculated, the settlement recovery increment is periodically rolled smoothed according to the ratio to obtain the pressure drop cycle matching coefficient, and when the matching coefficient is higher than the set adaptive threshold, it is determined that the current target regeneration center evolution mode and the adhesive layer peeling dynamics have a resonance enhancement relationship, triggering the gain-limited waste gas recirculation regeneration.

[0045] In this embodiment, the pressure drop cycle matching coefficient is obtained by coupling the release-recovery ratio with the eigenvalue spectrum of the colloidal stability domain state matrix, and is used to characterize the degree of matching between the regeneration driving intensity and the dynamic response of the deposited structure. When the matching coefficient satisfies the stability domain constraint condition, it is determined that there is a controlled resonance enhancement relationship between the regeneration airflow mode and the colloidal layer peeling dynamics, and the system enters a gain-limited cyclic regeneration operation state; if not, the system is brought back to the stable matching range by adjusting the regeneration cycle, disturbance intensity, or airflow mode. The specific calculation formula is as follows: , Where Rrr is the ratio of the amount of adhesive layer released per unit period to the amount of structural recovery, S is the state matrix of the adhesive stability domain, and X is the real-time deposition state vector. k represents the deviation from the stability region. c λ is the continuity index of the adhesive layer curvature. max The dominant eigenvalue magnitude of the stability domain matrix is ​​σΔP, where σ is the standard deviation of the pressure drop fluctuation.

[0046] The colloidal stability domain state matrix consists of four state components: the first-order pressure drop gradient, the second-order pressure drop curvature, the colloidal film coverage, and the interfacial adhesion energy. These components are weighted and coupled to form a stability determination matrix. The main diagonal terms of the matrix are set to 0.9, 1.1, 1.6, and 1.8, respectively, to enhance sensitivity to changes in film coverage and interfacial energy. The off-diagonal coupling terms are set between 0.1 and 0.4 to describe the coupling effect of pressure drop changes on the evolution of the depositional structure. When the comprehensive norm of the state vector after matrix inverse mapping is less than 1 at a certain moment, the colloidal layer is determined to be in a controllable stability domain. During the measured operation phase, this norm was 0.86, indicating that the deposition was still in the structurally adjustable region. The specific matrix is ​​as follows: , Among them, S 12 ,S 21 For the dynamic response coupling between the pressure drop gradient and curvature, S 13 ,S 31 To demonstrate the promoting effect of deposition rate on the evolution of film cover, S 23 ,S 32 To illustrate the effect of curvature variation on the structural continuity trend, S34, S 43 For the coupling feedback between film formation and interface energy decay, S 14 ,S 41 This represents the indirect effect of pressure drop changes on the dissipation of adhering energy.

[0047] The ratio of the amount of adhesive released to the amount of structural restoration within a unit cycle represents the mass of adhesive that detaches from the filter media surface and is carried away under the action of regeneration airflow or disturbance within a unit cycle. The amount of structural restoration represents the equivalent structural mass compensation corresponding to the restoration of pore space and flow channel topology released due to adhesive layer peeling within the same cycle. This ratio characterizes the energy matching degree between regeneration and structural repair: when this ratio is within a limited bounded range, it indicates that regeneration can effectively remove deposits without causing excessive scouring that could damage the filter media structure. The specific calculation formula is as follows: , Where T is the regeneration period, τ w For the wall shear stress, A f For the effective contact area, k d k is the glass coefficient. s ε is the structural restoration coefficient, and ε is the porosity.

[0048] In this embodiment, the deposition evolution stages shown include the film formation period and the pressure drop bridging period; The film formation period: the colloidal adhesion process is mapped as a phase transition from discrete to continuous, the colloidal film thickness parameter is introduced, the position state of the waste gas colloidal layer is modeled, and the convergence constraint is applied to the film path in combination with the historical adhesion trajectory. The pressure drop bridging period involves applying an adjustable gain to the colloidal pressure drop correction vector in different bridging directions, calculating the deviation gradient of the target stable domain during the pressure drop projection change, and adjusting the convergence performance of the bridging trajectory in conjunction with the convergence constraint of the film path during the film formation period. This serves as an intermediate station for the adaptive bridging closed loop of colloidal deposition in the cyclic regeneration recovery space.

[0049] In this embodiment, the method for setting the critical threshold of film solidification is as follows: the growth rate of the contact area of ​​the gel, the attenuation coefficient of pore connectivity and the acceleration of the pressure drop growth are used as three-dimensional state variables, and the historical deposition behavior is weighted and integrated to form a film evolution memory factor. When the output value of the discriminant function exceeds the boundary of the preset stable attraction domain and the memory factor continues to be in an enhancing trend, the current state is determined as the critical point of irreversible film solidification, which is used as the critical threshold of film solidification.

[0050] In this embodiment, the filtration cycle control mechanism combines the deposition pressure drop gradient state vector, phase transition characteristic quantity and pressure drop cycle matching coefficient to construct a cycle joint feedback space, performs time series prediction and stability domain constraint projection, and after each regeneration cycle, performs parameter drift compensation on the waste gas adsorption and filtration parameters based on the degree of topological restoration of the pores of the colloid-containing waste gas and the interface energy attenuation recalibration results, and implements adaptive amplitude limiting adjustment on the trigger time, disturbance input intensity and duration of the next cycle regeneration cycle.

[0051] In this embodiment, as Figure 2 As shown, the execution process of the sedimentary evolution stage is as follows: Membrane formation period; Phase transition mapping: The process of colloidal substances in colloid-containing waste gas adhering to the surface of filter media from discrete particles and gradually forming a continuous colloidal film is abstracted as a "discrete to continuous" phase transition model; Modeling of adhesive film thickness parameters: Introducing adhesive film thickness parameters, collecting real-time data on the thickness of adhesive deposition on the filter media surface, establishing a correlation model between adhesive film thickness and exhaust gas filtration efficiency and pressure drop changes, and dynamically modeling the position and state of the adhesive layer in the exhaust gas. Historical trajectory convergence constraint: retrieve historical system operation data, analyze the adhesive adhesion trajectory under different operating conditions, apply convergence constraint to the current membrane formation path, ensure that the adhesive membrane growth direction and thickness are controlled within the preset stable range, and avoid local excessive thickness leading to filtration failure; Pressure drop bridging period; Pressure drop correction gain adjustment: To address the differences in colloidal deposition in different regions of the filter media, an adjustable gain is applied to the colloidal pressure drop correction vector in different bridging directions to optimize the airflow distribution inside the filter media and balance the pressure drop in each region. Stability domain deviation gradient calculation: Real-time monitoring of pressure drop projection changes, calculation of deviation gradient within the target stability domain, identification of abnormal pressure drop regions, and provision of a basis for subsequent regulation; Bridging trajectory convergence adjustment: Combining the convergence constraint of the film path during the film formation period, the convergence performance of the bridging trajectory is adjusted. The pressure drop bridging period is used as the intermediate station of the adaptive bridging closed loop in the colloid deposition in the recycling recovery space, ensuring a smooth transition of the system during the regeneration process.

[0052] This invention also provides a filtration system for treating and recycling adhesive-containing waste gas, specifically including: Deposition sensing adsorption module: acquires the adsorption characteristics of adhesive waste gas, establishes the deposition pressure drop change curve, performs critical control on the adhesion state of adhesive in adhesive waste gas, sets the separation criteria between effective adhesion and reversible retention in adhesive waste gas based on the adhesive separation compensation filtration algorithm, and combines the nonlinear stable range of pressure drop gradient to perform critical permeation blocking on the adhesive filtration coverage rate, thereby obtaining the adsorption and filtration parameters of adhesive waste gas. The recycling and regeneration guidance module constructs a waste gas recycling and regeneration guidance model based on the adsorption and filtration parameters of the colloid-containing waste gas. Combining the trajectory of the waste gas colloid concentration change within the deposition pressure drop change curve, it performs segmented fitting on the deposition evolution stage of the colloid-containing waste gas, extracts the phase transition characteristics of the colloid from discrete attachment state to continuous film state, and models the reversible peeling weight of the waste gas colloid layer based on the colloid film adhesion attenuation framework, and outputs the recycling and regeneration recovery control signal. Control threshold adjustment module: The cyclic regeneration recovery control signal is used as the collaborative scheduling driving quantity for the filtration and regeneration control of adhesive-containing waste gas. The flow field adhesive layer peeling response function is input, the pressure drop cyclic matching coefficient is calculated, and the cyclic regeneration intensity of adhesive-containing waste gas is adjusted according to the deposition evolution stage after segmented fitting. The phase transition characteristic quantity is dynamically weighted by gain, and the critical threshold of film solidification is set. The cyclic extension control module: Based on the critical threshold of membrane solidification, it performs periodic attenuation correction on the adsorption and filtration parameters of the adhesive-containing waste gas and the cyclic regeneration and recovery control signal, and based on the filtration cycle control mechanism, it performs error feedback correction on the degree of pore recovery after adhesive layer regeneration, and controls the closed-loop cyclic regeneration of the cyclic filtration of adhesive-containing waste gas.

[0053] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A filtration method for treating and recycling adhesive-containing waste gas, characterized in that, include: S1: Obtain the adsorption characteristics of adhesive-containing waste gas, establish the deposition pressure drop change curve, critically regulate the adhesion state of adhesive in adhesive-containing waste gas, set the separation criteria between effective adhesion amount and reversible retention amount in adhesive-containing waste gas based on the adhesive separation compensation filtration algorithm, and combine the nonlinear stable range of pressure drop gradient to critically block the penetration of adhesive filtration coverage, thereby obtaining the adsorption and filtration parameters of adhesive-containing waste gas. S2: Based on the adsorption and filtration parameters of the colloid-containing waste gas, a waste gas circulation and regeneration guidance model is constructed. Combined with the trajectory of the waste gas colloid concentration change within the deposition pressure drop change curve, the deposition evolution stage of the colloid-containing waste gas is segmented and fitted. The phase transition characteristics of the colloid from discrete attachment state to continuous film state are extracted. Based on the colloid film adhesion attenuation framework, the reversible peeling weight of the waste gas colloid layer is modeled, and the circulation and regeneration recovery control signal is output. S3: Use the cyclic regeneration recovery control signal as the collaborative scheduling driving quantity for the filtration and regeneration control of adhesive-containing waste gas, input the flow field adhesive layer peeling response function, calculate the pressure drop cyclic matching coefficient, adjust the cyclic regeneration intensity of adhesive-containing waste gas according to the segmented fitting deposition evolution stage, dynamically gain weight the phase transition characteristic quantity, and set the critical threshold for film solidification. S4: Based on the critical threshold of membrane solidification, the adsorption and filtration parameters and the cyclic regeneration and recovery control signal of the adhesive-containing waste gas are periodically attenuated and corrected. Based on the filtration cycle regulation mechanism, the degree of pore recovery after adhesive layer regeneration is corrected by error feedback, and the closed-loop cyclic regeneration of the cyclic filtration of adhesive-containing waste gas is controlled.

2. The method according to claim 1, characterized in that, The deposition pressure drop curve is based on the adsorption characteristics of the colloid-containing waste gas and is expanded in a multi-scale time series. The adsorption characteristics of the colloid-containing waste gas include abnormal colloid deposition signals and interfacial adhesion energy density. The relative growth gradient of the deposition pressure vector of the colloid-containing waste gas within a continuous time window is calculated, and the relative growth gradient is used as the deposition activity of the colloid-containing waste gas. The integral drift term of the colloid filtration state of the waste gas at the current moment is critically controlled.

3. The method according to claim 1, characterized in that, The adhesive separation compensation filtering algorithm decomposes the deposition mass of adhesive particles in the waste gas on the fiber surface into effective adhesion amount and reversible retention amount. The effective adhesion amount is the structural adhesion deposition mass where the deformation recovery rate of the adhesive particles is lower than the preset elastic rebound threshold. The reversible retention amount is the transient retention deposition mass where the contact morphology of the adhesive particles maintains reversible deformation characteristics. The algorithm introduces the local velocity gradient field in the pores and the evolution rate of the contact area of ​​the adhesive particles as compensation correction factors to perform gradient attenuation compensation and flow field redistribution correction on the decomposition results of the adhesive deposition mass in the waste gas, and sets the adhesive deposition separation boundary.

4. The method according to claim 1, characterized in that, The method for constructing the nonlinear stable interval of the pressure drop gradient is as follows: perform second derivative continuity analysis on the deposition pressure drop change curve, extract the first gradient vector of the pressure drop change rate and the second gradient vector of the curvature change, and reconstruct the pressure drop change space of the colloid-containing waste gas. Define the transition zone where the pressure drop growth rate transitions from linear to exponentially increasing as the deposition instability precursor zone, and define the interval where the pressure drop fluctuation amplitude converges with time as the nonlinear stable interval. When the magnitude of the first gradient vector remains in a bounded time decay state, and the change amplitude of the second gradient vector satisfies the disturbance response negative feedback convergence condition, the current pressure drop segment is determined as a recyclable and regenerable operating region, and the nonlinear stable interval of the pressure drop gradient is constructed.

5. The method according to claim 1, characterized in that, The waste gas regeneration guidance model reconstructs the evolution mode of the target regeneration center in the waste gas colloid deposition space based on the adsorption and filtration parameters of the colloid-containing waste gas. It performs steady-state attraction domain mapping on the deposition pressure drop state vector to obtain the colloid stable domain state matrix. Based on the colloid film adhesion attenuation framework, it calculates the deviation gradient between the current deposition pressure drop change and the target stable domain, generates a regeneration correction vector, and regards the colloid-containing waste gas deposition state as a controlled colloid layer dynamic parameter according to the convergence characteristics of the nonlinear stable interval of the deposition pressure drop gradient. It nonlinearly adjusts the reversible stripping weight of the colloid-containing waste gas in different deposition directions and outputs a regeneration recovery control signal.

6. The method according to claim 1, characterized in that, The phase transition characteristic quantity serves as a multi-parameter coupled index for the transformation of waste gas colloids from a discrete particle attachment state to a continuous colloid film coverage state. It includes the colloid contact area growth rate and the pore connectivity attenuation coefficient, characterizing the critical phase transition state of the colloid layer's evolution from discrete deposition to a continuous structural film state.

7. The method according to claim 5, characterized in that, The adhesive film adhesion attenuation framework includes a time modulation layer and a spatial pointing layer; The time modulation layer: based on the rate of change of colloidal deposition pressure drop and the regeneration convergence trend, sets the regeneration trigger interval and duration, and responds to colloidal mutations through the short-time response channel, while gradually reducing the regeneration dependence through the long-time adaptation channel; The spatial pointing layer: Based on the gradient vector of the colloid deviation and the adjustment result of the direction-sensitive weight, the circulating regeneration signal is vectorized and distributed along the flow degree of freedom of the colloid-containing waste gas to form a direction guidance effect and output a non-single forced signal that can sense the regeneration correction direction.

8. The method according to claim 1, characterized in that, The process of calculating the pressure drop cycle matching coefficient using the flow field adhesive layer peeling response function is as follows: the adhesive layer is regarded as an equivalent continuous medium with time dependence, the cooperative scheduling driving quantity is input, the ratio of the amount of filtration and release of the adhesive layer to the amount of structural recovery within a unit period is calculated, the settlement recovery increment is periodically rolled smoothed according to the ratio, the pressure drop cycle matching coefficient is obtained, and when the matching coefficient is higher than the set adaptive threshold, it is determined that there is a resonance enhancement relationship between the current target regeneration center evolution mode and the adhesive layer peeling dynamics, triggering the gain-limited waste gas regeneration cycle.

9. The method according to claim 1, characterized in that, The depositional evolution stages include the film formation period and the pressure drop bridging period; The film formation period: the colloidal adhesion process is mapped as a phase transition from discrete to continuous, the colloidal film thickness parameter is introduced, the position state of the waste gas colloidal layer is modeled, and the convergence constraint is applied to the film path in combination with the historical adhesion trajectory. The pressure drop bridging period involves applying an adjustable gain to the colloidal pressure drop correction vector in different bridging directions, calculating the deviation gradient of the target stable domain during the pressure drop projection change, and adjusting the convergence performance of the bridging trajectory in conjunction with the convergence constraint of the film path during the film formation period. This serves as an intermediate station for the adaptive bridging closed loop of colloidal deposition in the cyclic regeneration recovery space.

10. The method according to claim 1, characterized in that, The method for setting the critical threshold for film solidification is as follows: the growth rate of the contact area of ​​the gel, the attenuation coefficient of pore connectivity and the acceleration of the pressure drop growth are used as three-dimensional state variables. The historical deposition behavior is weighted and integrated to form a film evolution memory factor. When the output value of the discrimination function exceeds the preset stable attraction domain boundary and the memory factor continues to be in an enhancing trend, the current state is determined as the critical point of irreversible film solidification, which is used as the critical threshold for film solidification.

11. The method according to claim 1, characterized in that, The filtration cycle control mechanism combines the deposition pressure drop gradient state vector, phase transition characteristic quantity and pressure drop cycle matching coefficient to construct a cycle joint feedback space, performs time series prediction and stability domain constraint projection, and after each regeneration cycle, performs parameter drift compensation on the waste gas adsorption and filtration parameters based on the degree of topological restoration of the pores of the colloid-containing waste gas and the recalibration results of the interface energy decay, and implements adaptive amplitude limiting adjustment on the trigger time, disturbance input intensity and duration of the next cycle regeneration cycle.

12. A filtration system for treating and regenerating adhesive-containing waste gas, used to perform the method as described in any one of claims 1-11, characterized in that, include: Deposition sensing adsorption module: acquires the adsorption characteristics of adhesive waste gas, establishes the deposition pressure drop change curve, performs critical control on the adhesion state of adhesive in adhesive waste gas, sets the separation criteria between effective adhesion and reversible retention in adhesive waste gas based on the adhesive separation compensation filtration algorithm, and combines the nonlinear stable range of pressure drop gradient to perform critical permeation blocking on the adhesive filtration coverage rate, thereby obtaining the adsorption and filtration parameters of adhesive waste gas. The recycling and regeneration guidance module constructs a waste gas recycling and regeneration guidance model based on the adsorption and filtration parameters of the colloid-containing waste gas. Combining the trajectory of the waste gas colloid concentration change within the deposition pressure drop change curve, it performs segmented fitting on the deposition evolution stage of the colloid-containing waste gas, extracts the phase transition characteristics of the colloid from discrete attachment state to continuous film state, and models the reversible peeling weight of the waste gas colloid layer based on the colloid film adhesion attenuation framework, and outputs the recycling and regeneration recovery control signal. Control threshold adjustment module: The cyclic regeneration recovery control signal is used as the collaborative scheduling driving quantity for the filtration and regeneration control of adhesive-containing waste gas. The flow field adhesive layer peeling response function is input, the pressure drop cyclic matching coefficient is calculated, and the cyclic regeneration intensity of adhesive-containing waste gas is adjusted according to the deposition evolution stage after segmented fitting. The phase transition characteristic quantity is dynamically weighted by gain, and the critical threshold of film solidification is set. The cyclic extension control module: Based on the critical threshold of membrane solidification, it performs periodic attenuation correction on the adsorption and filtration parameters of the adhesive-containing waste gas and the cyclic regeneration and recovery control signal, and based on the filtration cycle control mechanism, it performs error feedback correction on the degree of pore recovery after adhesive layer regeneration, and controls the closed-loop cyclic regeneration of the cyclic filtration of adhesive-containing waste gas.

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