New pollutant high-efficiency membrane treatment intelligent equipment based on solid waste geopolymer

Abstract

The invention provides a new pollutant high-efficiency membrane treatment intelligent device based on solid waste geopolymer, and relates to the field of filtering equipment, the new pollutant high-efficiency membrane treatment intelligent device comprises a filtering box, a rigid support frame is arranged on the inner wall of the filtering box, a filtering membrane is supported on the rigid support frame, and a flexible elastic buffer gasket is arranged on the contact surface of the rigid support frame and the filtering membrane; the filtering membrane is a geopolymer membrane; a specific functional layer is compounded on the geopolymer film; an outlet of the emptying valve is communicated with the flow guide channel. And the membrane filter cartridge is detachably connected with the connecting part of the membrane filter cartridge in the impurity removal box by adopting a clamping bolt type quick-opening locking mechanism. The elastic buffer gasket effectively absorbs operation vibration and mechanical impact; the clamping bolt type quick-opening locking mechanism simplifies the installation and replacement process of the membrane cylinder; the emptying valve and the flow guide channel can thoroughly eliminate air resistance; a functional layer (such as chitosan, alginate and the like) compounded on the surface of the geopolymer membrane has excellent adsorption capacity, and particularly has efficient interception and separation capacity on PFASs pollutants.

Description

Technical Field

[0001] The present invention relates to the technical field of filtration equipment, and in particular to a new intelligent equipment for high-efficiency membrane treatment of pollutants based on solid waste geopolymers. Background Art

[0002] With the acceleration of global industrialization, many chemicals, especially per- and polyfluorinated compounds (PFASs), are used extensively in various products, such as non-stick coatings and food packaging materials, resulting in the release of large quantities of these substances into water bodies. Due to the strong stability, extremely difficult degradation and persistent toxicity of PFASs, they not only cause long-term harm to the aquatic environment, but also pose a profound threat to human health. Currently, membrane separation technology has shown extremely broad application prospects in the treatment of organic micropollutant wastewater due to its excellent separation performance, high efficiency and energy saving, and simple operation. Especially in the field of water treatment, membrane technology has the potential to become a key tool for dealing with these new pollutants. However, existing membrane filtration systems are often limited to traditional ceramic membranes or organic membranes, and have failed to fully solve the brittleness problem of membrane materials, affecting their long-term stable operation.

[0003] Chinese Patent Authorization Publication No. CN113368698B discloses a silicon carbide ceramic membrane filtration device, belonging to the technical field of filtration equipment, comprising a workbench, a filter box, a first water pressure sensor, a second water pressure sensor, and a silicon carbide ceramic membrane, as well as an impurity removal device and a reflux device. During operation, the present invention first performs dead-end filtration. If the pressure on the first water pressure sensor is much greater than the pressure on the second water pressure sensor, it indicates that impurities have clogged the silicon carbide ceramic membrane after prolonged filtration. At this time, the first water pressure sensor and the second water pressure sensor transmit signals, and cross-flow filtration is performed. Cross-flow filtration can remove impurities from the silicon carbide ceramic membrane. The wastewater then carries the impurities into the impurity removal device, where the impurities are recovered. The remaining liquid returns to the filter box through the reflux device, completing the cleaning of the silicon carbide ceramic membrane. After the silicon carbide ceramic membrane is cleaned, the entire device returns to the dead-end filtration state, accelerating filtration efficiency.

[0004] The above invention patent has the following problems: 1. The document only describes the filter membrane (silicon carbide ceramic membrane) as being installed inside the filter box, without disclosing the specific installation method. Furthermore, the filter membrane lacks flexible and elastic buffering. 2. The filter box does not have a dedicated vent valve and diversion channel. During operation, air is easily accumulated to form air blockage, which prevents the cleaning liquid / backwash water from covering the membrane components. As a result, the cleaning is not sufficient, and many impurities remain on the membrane surface, affecting the filtration effect. 3. The surface of the filter membrane (silicon carbide ceramic membrane) is not composited with a specific functional layer, and lacks a targeted identification and separation mechanism for PFASs pollutants. Relying solely on the membrane itself for filtration, it is difficult to efficiently capture and intercept such pollutants, resulting in excessive PFASs residues in the treated water.

[0005] The present invention is an improvement based on the above invention patent. Summary of the Invention

[0006] The present invention provides a new intelligent equipment for high-efficiency membrane treatment of pollutants based on solid waste geopolymers, which is used to solve any of the technical problems raised by the above background technology.

[0007] To solve the above technical problems, the present invention discloses a new high-efficiency membrane treatment intelligent equipment for solid waste geopolymer-based pollutants, comprising a filter box, a filter membrane, and a membrane filter cartridge. A rigid support frame is provided on the inner wall of the filter box, the filter membrane is supported on the rigid support frame, and a flexible elastic buffer gasket is provided on the contact surface between the rigid support frame and the filter membrane; the filter membrane is a geopolymer membrane; and a specific functional layer is compounded on the geopolymer membrane. The filter box is provided with a vent valve, and the vent valve outlet is connected to the diversion channel.

[0008] Preferably, the membrane filter cartridge is detachably connected to the connection portion of the membrane filter cartridge in the impurity removal box by using a plug-type quick-open locking mechanism.

[0009] Preferably, the specific functional layer comprises: chitosan and / or alginate gel.

[0010] Preferably, an adjustable throttle valve is added to the return pipe.

[0011] Preferably, the rigid support frame is made of stainless steel or carbon fiber composite material.

[0012] Preferably, the bolt-type quick-open locking mechanism includes: Buckle: designed to be rotating or sliding; the rotating type is locked / unlocked by rotating into / out of the corresponding slot; the sliding type moves in a straight line to engage / disengage with the slot; a buckle is provided at the connection between the membrane filter cartridge and the impurity removal box; Card slot: adapted to the buckle, embedded after the buckle is in place to form a mechanical limit to ensure the stability of the connection; the card slot is set at the position of the debris removal box corresponding to the buckle.

[0013] Preferably, the bolt-type quick-open locking mechanism further includes: A safety positioning pin is provided with a pin hole, the debris removal box is provided with a pin seat corresponding to the pin hole, and the safety positioning pin passes through the pin hole and is inserted into the pin seat.

[0014] Preferably, it also includes: Pressure monitoring module: The surface where the rigid support frame contacts the flexible elastic buffer gasket is integrated with a pressure sensing array to collect pressure information in contact with the filter membrane in real time; Analysis module 1: used to determine the pressure equalization coefficient based on the monitoring results of the pressure monitoring module; Membrane state sensing module: used to monitor the stress and temperature of the monitoring points of the membrane; Analysis module 2: used to determine the stress gradient and stress relaxation factor, temperature-stress coupling coefficient and equivalent temperature based on the membrane state perception module.

[0015] Preferably, it further includes a membrane intelligent control module, which performs intelligent control according to the analysis results of the analysis module 1 and the analysis module 2. The membrane intelligent control module includes: Parameter fusion analysis unit: This unit integrates the pressure equalization coefficient output by the pressure monitoring module with the stress gradient, stress relaxation factor, temperature-stress coupling coefficient, and equivalent temperature from the membrane state sensing module to construct a multidimensional dataset of membrane operation status. Through data normalization, dimensional differences are eliminated, providing a unified analysis basis for control decisions. A multi-parameter weighted fusion algorithm is used to set the weights of the pressure equalization coefficient, stress gradient, stress relaxation factor, temperature-stress coupling coefficient, and equivalent temperature, and calculate the comprehensive state index to determine whether the membrane is in a "safe-warning-dangerous" state. Intelligent decision-making unit: Develops membrane control strategies based on parameter fusion analysis results, covering temperature regulation and flow rate control; built-in decision rule library supports the addition, modification and optimization of strategies; Temperature regulation subunit: receives temperature control instructions from the intelligent decision-making unit, controls the action of the membrane temperature regulation device, and adjusts the membrane temperature; Flow rate control subunit: adjusts the sewage flow rate at the sewage inlet of the filter box according to the decision instructions.

[0016] Preferably, it also includes: Pretreatment sensing component: A multi-parameter pretreatment sensor is installed at the sewage inlet of the filter box, integrating a turbidity meter and a pollutant concentration detector to identify the pollution characteristics of the sewage and determine the pollution impact buffer coefficient B; Cleaning demand modeling component: This component combines the pressure equalization coefficient output by analysis module one, the stress gradient, stress relaxation factor, temperature-stress coupling coefficient, and equivalent temperature output by analysis module two, and the contamination characteristic parameters of the pre-separation subunit to construct a cleaning demand model using a neural network algorithm. The model outputs the cleaning fluid type priority, concentration gradient, and dosage coefficient, as well as the cleaning flow rate corresponding to the contamination impact buffer coefficient B, to achieve adaptation of the cleaning strategy to the membrane contamination status. Precision dispensing execution components: Equipped with multiple types of cleaning liquid storage tanks, linked by micro-metering pumps and intelligent mixing valves, the dispensing ratio and flow rate of the cleaning liquid are precisely controlled according to the parameters output by the cleaning demand model to ensure that the cleaning liquid parameters match the membrane body requirements.

[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. The elastic buffer gasket effectively absorbs operating vibration and mechanical shock, disperses the stress instead of concentrating it on the brittle membrane, reduces the risk of cracks and rupture, and the rigid support frame evenly distributes the stress on the membrane, preventing local overload deformation and further extending the service life of the membrane module.

[0018] 2. The switch to a bolt-type quick-open locking mechanism eliminates tedious thread operations and simplifies the installation and replacement process of the membrane cylinder. At the same time, the safety positioning pin design avoids misoperation and potential leakage risks, ensuring the safety of the equipment.

[0019] 3. The vent valve and diversion channel can completely eliminate air blockage, ensuring uniform coverage of the cleaning liquid or backwash water and sufficient cleaning of the membrane surface. The adjustable throttle valve in the return line ensures the return and circulation of the cleaning water, reducing water retention and secondary contamination, and improving the equipment's impurity removal effect and cleaning efficiency.

[0020] The functional layer (such as chitosan, alginate, etc.) composited on the surface of the geopolymer membrane has excellent adsorption capacity, especially showing efficient retention and separation capabilities for PFASs pollutants. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 It is a schematic block diagram of some components of the present invention. DETAILED DESCRIPTION

[0023] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0024] The present invention provides a new high-efficiency membrane treatment intelligent equipment for pollutants based on solid waste geopolymers, such as Figure 1 As shown, it includes a filter box, a filter membrane and a membrane filter cartridge, A rigid support frame is provided on the inner wall of the filter box, the filter membrane is supported on the rigid support frame, and a flexible elastic buffer gasket is provided on the contact surface between the rigid support frame and the filter membrane; the filter membrane is a geopolymer membrane; a specific functional layer is compounded on the geopolymer membrane; The filter box is provided with a vent valve, and the vent valve outlet is connected to the diversion channel.

[0025] Preferably, the membrane filter cartridge is detachably connected to the connection portion of the membrane filter cartridge in the impurity removal box by using a plug-type quick-open locking mechanism.

[0026] Preferably, the specific functional layer comprises: chitosan and / or alginate gel.

[0027] Preferably, an adjustable throttle valve is added to the return pipe.

[0028] Preferably, the rigid support frame is made of stainless steel or carbon fiber composite material.

[0029] Preferably, the bolt-type quick-open locking mechanism includes: Buckle: designed to be rotating or sliding; the rotating type is locked / unlocked by rotating into / out of the corresponding slot; the sliding type moves in a straight line to engage / disengage with the slot; a buckle is provided at the connection part between the membrane filter cartridge and the impurity removal box.

[0030] Card slot: adapted to the buckle, embedded after the buckle is in place to form a mechanical limit to ensure the stability of the connection; the card slot is set at the position of the debris removal box corresponding to the buckle.

[0031] Preferably, the bolt-type quick-open locking mechanism further includes: A safety positioning pin is provided with a pin hole, the debris removal box is provided with a pin seat corresponding to the pin hole, and the safety positioning pin passes through the pin hole and is inserted into the pin seat.

[0032] 1. Add a flexible elastic buffer gasket between the inner wall of the original filter box and the membrane body to ensure a certain elastic connection between the membrane shell and the bracket, reducing the risk of membrane rupture due to mechanical impact. Add a rigid support frame (made of stainless steel or carbon fiber composite material) around the filter box to evenly distribute the force on the membrane body.

[0033] 2. To address the inconvenience of replacing the membrane filter cartridge, the original threaded bottom cap connection has been replaced with a quick-release latch mechanism. This improvement simplifies the removal and installation of the membrane filter cartridge, requiring only a twist or slide of the latch, significantly reducing operational complexity. Furthermore, the addition of a safety pin effectively prevents the risk of loosening due to misoperation, ensuring operator safety.

[0034] 3. Adding a vent valve and diversion channel at the bottom effectively eliminates air blockage and ensures adequate coverage of the cleaning fluid or backwash water. In addition, an adjustable throttle valve is added to the return line to ensure that the flow rate and frequency of the cleaning fluid can be precisely controlled according to actual needs, avoiding the retention of return water, improving the cleaning efficiency of the membrane module, and reducing secondary contamination.

[0035] Composite specific functional layers (such as chitosan and alginate gel) on the geopolymer membrane can enhance the recognition and efficient separation of PFASs pollutants by the geopolymer membrane.

[0036] 4. The original dead-end / cross-flow filtration switching function of the device is retained, and the bottom cover locking method is improved to enhance the safety and sealing of the device; The beneficial effects of the above technical solution are: 1. The elastic buffer gasket effectively absorbs operating vibration and mechanical shock, disperses the stress instead of concentrating it on the brittle membrane, reduces the risk of cracks and rupture, and the rigid support frame evenly distributes the stress on the membrane, preventing local overload deformation and further extending the service life of the membrane module.

[0037] 2. The switch to a bolt-type quick-open locking mechanism eliminates tedious thread operations and simplifies the installation and replacement process of the membrane cylinder. At the same time, the safety positioning pin design avoids misoperation and potential leakage risks, ensuring the safety of the equipment.

[0038] 3. The vent valve and diversion channel can completely eliminate air blockage, ensuring uniform coverage of the cleaning liquid or backwash water and sufficient cleaning of the membrane surface. The adjustable throttle valve in the return line ensures the return and circulation of the cleaning water, reducing water retention and secondary contamination, and improving the equipment's impurity removal effect and cleaning efficiency.

[0039] The functional layer (such as chitosan, alginate, etc.) composited on the surface of the geopolymer membrane has excellent adsorption capacity, especially showing efficient retention and separation capabilities for PFASs pollutants.

[0040] Example 2, based on Example 1, further includes: Pressure monitoring module: The surface where the rigid support frame contacts the flexible elastic buffer gasket is integrated with a pressure sensing array to collect pressure information in contact with the filter membrane in real time; Analysis module 1: used to determine the pressure equalization coefficient based on the monitoring results of the pressure monitoring module; Membrane state sensing module: used to monitor the stress and temperature of the monitoring points of the membrane; Analysis module 2: used to determine the stress gradient and stress relaxation factor, temperature-stress coupling coefficient and equivalent temperature based on the membrane state perception module.

[0041] The pressure equalization coefficient is calculated based on the pressure distribution at each monitoring point on the membrane. First, the pressure values ​​at all monitoring points are counted and the average pressure value is calculated. The deviation between the pressures at each monitoring point and the average pressure is then compared. The uniformity of the pressure distribution is quantified using a specific formula (e.g., the ratio of the average pressure to the difference between the maximum and minimum pressures; pressure equalization coefficient = 1 - (maximum-minimum pressure difference / average pressure)). The closer the pressures at each monitoring point are to the average pressure, the closer the calculated pressure equalization coefficient is to the ideal value (usually set around 1). If the pressures in certain areas are significantly higher or lower, the coefficient will deviate from the ideal range, thus reflecting whether the pressures on the membrane are balanced.

[0042] The stress gradient is calculated by dividing the stress difference between adjacent monitoring points by the distance between them. For example, two adjacent monitoring points on the membrane are selected, their stress values ​​are obtained, the stress difference is calculated, and then divided by the actual distance between the two points to obtain the stress gradient between the two points. A larger value indicates a more dramatic stress change in that area of ​​the membrane, and there is a risk of excessive local deformation. The stress relaxation factor is calculated by recording the initial stress value of the membrane under steady water flow. After a period of time (e.g., 10 minutes), the stress value is recorded again. The difference between the two stress values ​​is then calculated as the ratio of the initial stress value. This factor reflects the mechanical stability of the membrane material; a larger value indicates a faster elastic decay of the membrane under stress. The temperature-stress coupling coefficient is determined by analyzing the relationship between temperature changes and stress changes. The stress values ​​of the membrane are monitored at different temperatures, and the ratio of the stress change to the corresponding temperature change is calculated to form the temperature-stress coupling coefficient. For example, if the membrane temperature increases by 2°C, the stress increases by 10 MPa. Therefore, the coefficient is 5 MPa / °C, which reflects the degree to which temperature changes affect membrane stress.

[0043] The equivalent temperature is a comprehensive calculation of the temperatures at each monitoring point on the membrane. After collecting temperature data from all monitoring points on the membrane, the temperature at each location is calculated using methods such as weighted averaging to combine the temperatures into a single value representing the overall thermal state of the membrane. Weighting is determined by considering the impact of each monitoring point on membrane performance; for example, areas with a greater impact on membrane filtration efficiency are given a higher weight.

[0044] The beneficial effects of the above technical solution are: A comprehensive health profile of the membrane is constructed from four dimensions: "pressure distribution uniformity" (pressure equalization coefficient), "mechanical deformation risk" (stress gradient), "material durability attenuation" (stress relaxation factor), and "thermal-mechanical interaction" (temperature-stress coupling coefficient, equivalent temperature). Operation and maintenance personnel can quickly locate "where the membrane is abnormal, what performance is abnormal, and to what extent the abnormality is." By quantifying indicators (e.g., excessive stress gradient → risk of local deformation), potential membrane damage (e.g., tearing, material aging) is converted into “data thresholds,” enabling preventive maintenance. This allows for early intervention (adjusting pressure and temperature) before the membrane actually breaks, extending its service life.

[0045] Guiding membrane design iterations: The "stress gradient distribution and temperature-stress coupling laws" accumulated through long-term monitoring can be fed back to the membrane R&D / production process—for example, optimizing membrane materials (reducing stress relaxation factors) and adjusting support structures (improving pressure distribution), thereby improving membrane performance from the source. Through comprehensive indicators such as "equivalent temperature", membrane operation and maintenance can adapt to non-uniform temperature fields (such as industrial wastewater treatment, where water temperatures vary greatly in different areas), expanding the application boundaries of the solution and not being limited to an ideal uniform temperature environment.

[0046] Example 3, based on Example 2, It also includes a membrane intelligent control module, which performs intelligent control based on the analysis results of analysis module 1 and analysis module 2. The membrane intelligent control module includes: Parameter fusion analysis unit: This unit integrates the pressure equalization coefficient output by the pressure monitoring module with the stress gradient, stress relaxation factor, temperature-stress coupling coefficient, and equivalent temperature from the membrane state sensing module to construct a multidimensional dataset of membrane operation status. Through data normalization, dimensional differences are eliminated, providing a unified analysis basis for control decisions. Normalized value = (original value - minimum value) / (maximum value - minimum value) A multi-parameter weighted fusion algorithm is used to set the weights of the pressure equalization coefficient, stress gradient, stress relaxation factor, temperature-stress coupling coefficient and equivalent temperature, calculate the comprehensive state index, and judge whether the membrane is in a "safe-warning-dangerous" state; first assign a "weight" to each indicator (for example, the pressure equalization coefficient has a great influence, so the weight is set to 0.4; the temperature-stress coupling coefficient has a small influence, so the weight is set to 0.1... The total weight is 1).

[0047] ; First, use "historical data + experimental testing" to find patterns: for example, before the membrane breaks, the comprehensive index usually exceeds 0.8; during safe operation, it is generally below 0.6... The threshold is set accordingly: comprehensive index <0.6 is "safe", 0.6-0.8 is "warning", and >0.8 is "dangerous" (the threshold needs to be adjusted according to the actual membrane type and scenario).

[0048] Intelligent decision-making unit: Develops membrane control strategies based on parameter fusion analysis results, covering temperature regulation and flow rate control; built-in decision rule library supports the addition, modification and optimization of strategies; Temperature regulation subunit: receives temperature control instructions from the intelligent decision-making unit, controls the action of the membrane temperature regulation device, and adjusts the membrane temperature; Flow rate control subunit: adjusts the sewage flow rate at the sewage inlet of the filter box according to the decision instructions.

[0049] The beneficial effects of the above technical solution are: Multidimensional data fusion: This integrates multiple indicators, including pressure, stress, and temperature. Instead of looking at "pressure uniformity" or "temperature overheating" in isolation, a "comprehensive health profile" of the membrane is constructed through normalization and weighted fusion. For example, traditional single-pressure monitoring may overlook the hidden risks caused by temperature-stress coupling. Fusion analysis transforms membrane health diagnosis from a "one-sided" to a "comprehensive" one.

[0050] Risk quantification: By categorizing membrane degradation into "safety-warning-danger" thresholds, membrane degradation trends are converted into quantifiable and easily understood index ranges. Operations and maintenance personnel can quickly determine if the membrane is nearing failure by looking at the "comprehensive index" without complex analysis (for example, an index > 0.8 indicates a warning of danger), enabling preventive maintenance and avoiding sudden membrane failure.

[0051] Automatic Strategy Generation: The intelligent decision-making unit has a built-in rule library that automatically matches control strategies (temperature / flow rate) based on comprehensive indices, eliminating the need for manual judgment. For example, if a high temperature-stress coupling coefficient on the membrane triggers an early warning, the system can directly initiate temperature reduction, transforming "manual passive response" into "intelligent proactive intervention."

[0052] The temperature and flow rate control subunits precisely align with decision-making instructions, rapidly controlling hardware devices (temperature control devices, regulating valves). For example, in a sewage treatment scenario, when pressure on the membrane is uneven, the flow rate control subunit responds in milliseconds, adjusting the inlet flow rate to rebalance the membrane's stress and prevent further damage.

[0053] Through "precise diagnosis + timely regulation," fatigue damage to the membrane caused by uneven pressure, sudden stress changes, and temperature overload can be reduced. For example, in areas with large stress gradients, timely flow rate adjustments can reduce local stress, delaying membrane tearing and aging, and indirectly extending replacement cycles.

[0054] Different membrane materials (such as PVDF and ceramic membranes) have significantly different mechanical and thermal properties. The solution supports custom thresholds and weights. For example, ceramic membranes are resistant to high temperatures but also quite brittle. By increasing the weight of the temperature-stress coupling coefficient, the risk of thermal shock cracking can be specifically mitigated, allowing for a deep adaptation of the membrane material properties to the control strategy.

[0055] Dynamically adjust temperature and flow rate to avoid excessive temperature control (e.g., pointless continuous heating / cooling) and blind flow control (e.g., high flow impact on the membrane). For example, in industrial membrane filtration systems, precise flow control can reduce pump energy consumption, making the system more energy-efficient.

[0056] Sudden membrane failures are reduced, leading to a decrease in the frequency of manual inspections and emergency repairs. Furthermore, long-term monitoring data can be used to inform membrane selection and process design. For example, if the pressure equalization coefficient in a certain area is consistently low, the support structure can be optimized to reduce membrane wear and tear at the source, achieving a two-way optimization of operation and maintenance costs and design iterations.

[0057] Example 4, based on Example 2 or 3, further includes: Pretreatment sensing component: A multi-parameter pretreatment sensor is installed at the sewage inlet of the filter box, integrating a turbidity meter and a pollutant concentration detector to identify the pollution characteristics of the sewage and determine the pollution impact buffer coefficient B = (turbidity value + k × pollutant concentration value) / historical benchmark value; k is the weight coefficient, for example, the pollutant concentration has a greater impact; Cleaning demand modeling component: This component uses a neural network algorithm to construct a cleaning demand model based on the pressure equalization coefficient output by analysis module one, the stress gradient, stress relaxation factor, temperature-stress coupling coefficient, equivalent temperature, and contamination impact buffer coefficient B output by analysis module two, as well as the contamination characteristic parameters of the pre-separation subunit (such as contaminant concentration). The model outputs the cleaning fluid type priority, concentration gradient, and dosage coefficient, as well as the cleaning flow rate corresponding to the contamination impact buffer coefficient B, thereby adapting the cleaning strategy to the membrane contamination status. Precision dispensing execution components: Equipped with multiple types of cleaning liquid storage tanks, linked by micro-metering pumps and intelligent mixing valves, the dispensing ratio and flow rate of the cleaning liquid are precisely controlled according to the parameters output by the cleaning demand model to ensure that the cleaning liquid parameters match the membrane body requirements.

[0058] The beneficial effects of the above technical solution are: By integrating pollution characteristics with membrane status modeling, the system outputs appropriate cleaning fluid type, concentration, flow rate, and other parameters. This allows for targeted removal of membrane contaminants (e.g., precise dosing of alkaline cleaning agents for high-concentration organic contamination), avoiding membrane damage from over-cleaning or residual contamination from under-cleaning, maintaining membrane filtration performance, and extending the life of the membrane modules. Dynamic adaptation to pollution changes: The pretreatment sensing component captures changes in wastewater pollution impact in real time, dynamically updating the pollution impact buffer coefficient B. The modeling component then dynamically adjusts the cleaning strategy accordingly. Rapid response to wastewater quality fluctuations (such as peaks and valleys in industrial wastewater discharge and rainwater intrusion) ensures stable membrane operation and reduces the risk of system downtime caused by sudden membrane fouling. Energy savings and cost reductions at the system performance and cost levels: Precisely dispensing cleaning fluid avoids wasteful chemical additions. On-demand control of the cleaning flow rate reduces unnecessary power consumption, lowering operating costs throughout the cleaning process. Data-driven optimization: Accumulated pollution, cleaning, and membrane status data over time feeds back into membrane system design and maintenance. For example, by analyzing historical data, optimizing the membrane support structure to improve pressure distribution, or adjusting the pretreatment process to reduce the proportion of high-pollution impact sewage, the system can be iteratively upgraded.

[0059] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A new high-efficiency membrane treatment intelligent equipment for solid waste geopolymer-based pollutants, comprising a filter box, a filter membrane, and a membrane filter cartridge, characterized in that: A rigid support frame is provided on the inner wall of the filter box, the filter membrane is supported on the rigid support frame, and a flexible elastic buffer gasket is provided on the contact surface between the rigid support frame and the filter membrane; the filter membrane is a geopolymer membrane; a specific functional layer is compounded on the geopolymer membrane; The filter box is provided with a vent valve, and the vent valve outlet is connected to the diversion channel.

2. The intelligent equipment for high-efficiency membrane treatment of new pollutants based on solid waste geopolymers according to claim 1 is characterized in that: The membrane filter cartridge adopts a fast-open locking mechanism of a plug type to be detachably connected to the connecting portion of the membrane filter cartridge in the impurity removal box.

3. The intelligent equipment for high-efficiency membrane treatment of new pollutants based on solid waste geopolymers according to claim 1 is characterized in that: The specific functional layer includes: chitosan and / or alginate gel.

4. The intelligent equipment for high-efficiency membrane treatment of new pollutants based on solid waste geopolymers according to claim 1 is characterized in that: An adjustable throttle valve is added to the return pipe.

5. The intelligent equipment for high-efficiency membrane treatment of new pollutants based on solid waste geopolymers according to claim 1 is characterized in that: The rigid support frame is made of stainless steel or carbon fiber composite.

6. The intelligent equipment for high-efficiency membrane treatment of new pollutants based on solid waste geopolymers according to claim 1 is characterized in that: The bolt-type quick-open locking mechanism includes: Buckle: designed to be rotating or sliding; the rotating type is locked / unlocked by rotating into / out of the corresponding slot; the sliding type moves in a straight line to engage / disengage with the slot; a buckle is provided at the connection between the membrane filter cartridge and the impurity removal box; Card slot: adapted to the buckle, embedded after the buckle is in place to form a mechanical limit to ensure the stability of the connection; the card slot is set at the position of the debris removal box corresponding to the buckle.

7. The intelligent equipment for high-efficiency membrane treatment of new pollutants based on solid waste geopolymers according to claim 6 is characterized in that: The bolt-type quick-open locking mechanism also includes: A safety positioning pin is provided with a pin hole, the debris removal box is provided with a pin seat corresponding to the pin hole, and the safety positioning pin passes through the pin hole and is inserted into the pin seat.

8. The intelligent equipment for high-efficiency membrane treatment of new pollutants based on solid waste geopolymers according to claim 1 is characterized in that: Also includes: Pressure monitoring module: The surface where the rigid support frame contacts the flexible elastic buffer gasket is integrated with a pressure sensing array to collect pressure information in contact with the filter membrane in real time; Analysis module 1: used to determine the pressure equalization coefficient based on the monitoring results of the pressure monitoring module; Membrane state sensing module: used to monitor the stress and temperature of the monitoring points of the membrane; Analysis module 2: used to determine the stress gradient and stress relaxation factor, temperature-stress coupling coefficient and equivalent temperature based on the membrane state perception module.

9. The intelligent equipment for high-efficiency membrane treatment of new pollutants based on solid waste geopolymers according to claim 8 is characterized in that: ； It also includes a membrane intelligent control module, which performs intelligent control based on the analysis results of analysis module 1 and analysis module 2. The membrane intelligent control module includes: Parameter fusion analysis unit: This unit integrates the pressure equalization coefficient output by the pressure monitoring module with the stress gradient, stress relaxation factor, temperature-stress coupling coefficient, and equivalent temperature from the membrane state sensing module to construct a multidimensional dataset of membrane operation status. Through data normalization, dimensional differences are eliminated, providing a unified analysis basis for control decisions. A multi-parameter weighted fusion algorithm is used to set the weights of the pressure equalization coefficient, stress gradient, stress relaxation factor, temperature-stress coupling coefficient, and equivalent temperature, and calculate the comprehensive state index to determine whether the membrane is in a "safe-warning-dangerous" state. Intelligent decision-making unit: Develops membrane control strategies based on parameter fusion analysis results, covering temperature regulation and flow rate control; built-in decision rule library supports the addition, modification and optimization of strategies; Temperature regulation subunit: receives temperature control instructions from the intelligent decision-making unit, controls the action of the membrane temperature regulation device, and adjusts the membrane temperature; Flow rate control subunit: adjusts the sewage flow rate at the sewage inlet of the filter box according to the decision instructions.

10. The intelligent equipment for high-efficiency membrane treatment of new pollutants based on solid waste geopolymers according to claim 8 is characterized in that: Also includes: Pretreatment sensing component: A multi-parameter pretreatment sensor is installed at the sewage inlet of the filter box, integrating a turbidity meter and a pollutant concentration detector to identify the pollution characteristics of the sewage and determine the pollution impact buffer coefficient B; Cleaning demand modeling component: This component combines the pressure equalization coefficient output by analysis module one, the stress gradient, stress relaxation factor, temperature-stress coupling coefficient, and equivalent temperature output by analysis module two, and the contamination characteristic parameters of the pre-separation subunit to construct a cleaning demand model using a neural network algorithm. The model outputs the cleaning fluid type priority, concentration gradient, and dosage coefficient, as well as the cleaning flow rate corresponding to the contamination impact buffer coefficient B, to achieve adaptation of the cleaning strategy to the membrane contamination status. Precision dispensing execution components: Equipped with multiple types of cleaning liquid storage tanks, linked by micro-metering pumps and intelligent mixing valves, the dispensing ratio and flow rate of the cleaning liquid are precisely controlled according to the parameters output by the cleaning demand model to ensure that the cleaning liquid parameters match the membrane body requirements.

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