161 results about "Membrane flux" patented technology

The invention discloses a modularized full-process high-quality direct drinking water treatment system and a control method, and belongs to the technical field of direct drinking water treatment.The modularized full-process high-quality direct drinking water treatment system is characterized in that an online sensor is deployed at a water inlet of a flocculation basin, raw water turbidity, temperature and flow parameters are collected in real time, and qualified samples are screened to construct a standardized water quality characteristic data set in combination with historical water quality and agent adding records; based on the data set, performing multi-dimensional clustering on historical water quality parameters, generating a characteristic working condition cluster, calculating a three-dimensional efficiency index, generating a dynamic dosage reference interval by using a sliding window confidence interval and a time decay factor, establishing a mapping relation between water quality characteristics and medicament dosage, and generating a graded dosage strategy; the transmembrane pressure difference and the membrane flux change rate are continuously monitored at the water inlet end in the membrane treatment stage, the membrane pollution trend is predicted through time sequence analysis, the prediction result is corrected according to the agent adding deviation, the precipitation effluent turbidity and the membrane inflow COD data, a cleaning early warning signal is generated, and graded response is performed according to the pollution degree.

The invention provides an intelligent sewage treatment process optimization method and system. The method comprises the following steps: continuously collecting the flux attenuation rate, transmembrane pressure difference and pollutant spectrum data of a ceramic membrane, carrying out time sequence analysis, constructing a pollution accumulation dynamic model, and predicting a critical threshold value; when a threshold value is reached, triggering an ultrasonic cavitation device, adjusting high-frequency vibration to generate a microbubble group, stripping pollutants by utilizing shock waves, and calculating membrane flux recovery data; fusing the spectral data and the recovery data to extract an actual pollution stripping efficiency value, and comparing a theoretical value to obtain a difference proportion; if the actual value is lower than the theoretical value, the cleaning period is shortened, the fluid pressure is increased to strengthen the stripping effect, and meanwhile, dynamic model parameters are reversely corrected based on the pressure adjustment amplitude to form closed-loop regulation and control. According to the invention, intelligent prediction, self-adaptive cleaning and closed-loop optimization of ceramic membrane pollution are realized, the sewage filtering efficiency is improved, and the energy consumption and cleaning cost are reduced.

The invention relates to the technical field of sewage treatment, in particular to a sewage treatment control process based on dynamic regulation and control of aeration and carbon source addition, which comprises the following steps: acquiring microbial metabolism heat change data in real time; biochemical treatment: monitoring the dielectric constant of a water body and the Reynolds number of sewage flow in real time, and constructing a multi-parameter coupling regulation and control model and dynamically regulating and controlling the aeration rate in combination with microbial metabolism heat change data obtained in the pretreatment step; accurately adding the carbon source according to a calculation result of the carbon source demand prediction model; sewage subjected to biochemical treatment is subjected to ultrafiltration through a nanofiber membrane and then subjected to combined disinfection treatment through ultraviolet rays and ozone, treatment parameters are regulated and controlled in real time according to the membrane flux attenuation trend in the treatment process, and dynamic and accurate control over sewage treatment is achieved. According to the method, the problem of energy consumption waste caused by excessive aeration or low degradation efficiency caused by insufficient aeration in a traditional process is solved, and accurate matching of dissolved oxygen supply and microbial requirements is realized.

The invention provides a chemical sewage advanced treatment system and method based on multistage membrane separation, and relates to the technical field of chemical sewage treatment.The method comprises the steps that pollution load data under preset membrane flux is collected, and the cascade reflux amount in the current membrane separation process is determined through the pollution load data and a real-time pressure index during membrane separation filtration; according to the separation interference deviation, the steady-state filtering period of the membrane separation filtering grade in the constant flux change is predicted, the steady-state filtering period is synchronously screened, and the full-flow separation limit of the multistage membrane separation unit in different pollution loads is obtained; and generating a separation regulation and control index when the equivalent flux generates peak offset according to the cascade reflux quantity and the full-flow separation limit, and performing starting point triggering on the treatment flow of the multistage membrane separation sewage and dirt. Under the dynamic working condition of operation of the multistage membrane separation system, balance adjustment can be carried out on the advanced treatment process trigger of the chemical sewage, so that the standard-reaching rate of membrane separation chemical sewage advanced treatment is increased.

The invention discloses an intelligent detection and dynamic early warning system based on machine learning and multi-source data fusion, which relates to the technical field of membrane separation process monitoring and consists of a data acquisition and preprocessing part, a physical model and data driving model part, a dynamic weight fusion and self-adaptive mechanism part and a man-machine interaction and alarm part. According to the system, parameters such as membrane flux, transmembrane pressure difference, solution concentration, temperature, water inlet flow and operation pressure are collected, an improved XGBoost machine learning model is combined, and a comprehensive pollution index is constructed to quantify the membrane pollution degree; the model realizes double analysis of a pollution mechanism and a data rule through feature engineering. The system supports full-closed-loop management from minute-level early warning to hour-level cleaning decision making, the threshold value is dynamically adjusted through Bayesian optimization, the generalization and anti-interference capacity of the system are remarkably improved, and the system is suitable for intelligent operation and maintenance of membrane separation processes such as reverse osmosis and ultrafiltration.

The invention relates to the technical field of water treatment, in particular to a high-recovery-rate short-process salt-tolerant reverse osmosis system and treatment method.The system comprises a pretreatment unit, a sensor monitoring unit, a self-adaptive pressure-flow coupling control unit, an intelligent operation and maintenance unit and a gradient boosting reverse osmosis membrane set. According to the invention, ultrahigh recovery rate and desalination performance are realized, gradient boost membrane module design is combined with concentration polarization inhibition technology, membrane surface flow state distribution is optimized, osmotic pressure influence is significantly reduced, pressure-flow coupling control and concentrated water excess pressure energy recovery technology are integrated, energy dynamic cyclic utilization is realized, energy consumption is reduced, and the method is suitable for industrial production. By monitoring the membrane flux attenuation rate and the transmembrane pressure difference in real time and dynamically optimizing a pulse cleaning strategy, dynamic optimization of high-salinity wastewater treatment is realized, and the problems of low recovery rate, high energy consumption and quick membrane pollution in high-salinity wastewater treatment are solved.

The invention relates to a composite reverse osmosis membrane acidic cleaning agent, a preparation method and a cleaning process thereof, and belongs to the technical field of environment-friendly water treatment. The cleaning agent comprises the following components in percentage by mass: 4-8% of inorganic acid, 20-40% of organic acid, 1-3% of a surfactant, 0.5-1% of a chelating agent, 0.5-1% of a compound corrosion inhibitor and the balance of deionized water. The composite corrosion inhibitor is formed by compounding 2-mercaptobenzothiazole and the like according to a specific mass ratio, the molecular weight of polyaspartic acid is 5000, and the molar ratio of Zn to Mo in the zinc-molybdate compound is 2: 1. The preparation method comprises the following four steps: firstly preparing a compound corrosion inhibitor premix, then preparing an acidic base solution, and then sequentially adding the components to finally obtain the cleaning solution. According to the cleaning process, a cleaning agent and deionized water are mixed, the membrane flux recovery rate is larger than or equal to 85% through cleaning of a specific process, the reverse osmosis membrane can be effectively cleaned, and the performance of the reverse osmosis membrane can be recovered.

The invention discloses a self-adaptive adjustment magnetic separation-membrane filtration coupling sewage treatment system and a self-adaptive adjustment magnetic separation-membrane filtration coupling sewage treatment method. The system comprises a pretreatment unit, a magnetic separation core unit, a self-adaptive intermediate buffer unit, a membrane filtration unit and a sludge treatment unit which are communicated in sequence. The core of the system is that a plurality of on-line sensors are linked through a central control system, water quality parameters are monitored in real time, the adding amount of magnetic powder and a coagulant, the rotating speed of a stirrer, the membrane flux, the backwashing period and a cleaning program are adjusted in a self-adaptive mode, and intelligent cooperation and accurate regulation and control of magnetic separation and membrane filtration processes are achieved. According to the invention, the problems of easy membrane pollution, high magnetic powder consumption, high operation cost and dependence on manual operation in the traditional process are effectively solved, the service life of the membrane is obviously prolonged, the operation and maintenance cost is reduced, and the effluent quality is stable and meets the high-standard discharge or reuse requirement.

The invention relates to the field of direct drinking water of a fusion calculation model, and discloses a double-membrane mixing direct drinking water system and an operation method.The method comprises the steps that online data of a water supply end and a water quality monitoring end are collected for cleaning and time alignment, and a basic working condition data set is formed; the method comprises the following steps: establishing an operation characteristic model comprising water demand prediction, raw water quality prediction and membrane flux characteristic sub-models, calculating double-membrane target water yield and water quality indexes based on the model to generate a control parameter set, evaluating membrane pollution to generate an online cleaning task queue, performing joint simulation to generate a pressure stability control instruction set, and dynamically correcting the model. The conversion from passive response to active pre-judgment of the double-membrane mixing direct drinking water system is realized, and the operation stability, the water quality guarantee capability and the water-saving and energy-saving effects are improved.

The invention discloses a PINN algorithm-based coordinated regulation and control method and system for an electrochemical carbon capture membrane distillation process, and the method comprises the steps: collecting multi-mode operation data in the electrochemical carbon capture membrane distillation process, constructing a physical model in the electrochemical carbon capture membrane distillation process, constructing a physical information neural network (PINN), and carrying out the PINN algorithm-based coordinated regulation and control of the electrochemical carbon capture membrane distillation process. Taking the physical model as a physical constraint of a physical information neural network (PINN); inputting the multi-mode operation data into a physical information neural network (PINN), predicting membrane flux, Li2CO3 yield and membrane scaling rate, and calculating a physical constraint residual error; and according to an error between a predicted result and a true value and a physical constraint residual error, carrying out dual-time scale optimization strategy adjustment on the multi-modal operation data. According to the invention, dynamic decoupling regulation and control of multiple operation parameters in the electrochemical reaction process are realized, and the CO2 capture efficiency and the membrane distillation performance are improved.

The invention belongs to the technical field of membranes, and particularly relates to a composite membrane with polyfunctional group organic mesoporous nanoparticles as a middle layer and a preparation method of the composite membrane. The composite membrane is of a three-layer structure and comprises a porous supporting layer, a middle layer and a selective separation surface layer, the middle layer is polyfunctional group organic mesoporous nanoparticles with good water dispersibility and excellent stability, and the selective separation surface layer is polyamide; the preparation method comprises the following steps: loading organic mesoporous nanoparticles on the surface of the porous support layer to form the middle layer; and polymerizing on the surface interface of the middle layer to form a selective separation surface layer. The middle layer contains polyfunctional groups, can interact with a water-phase polyamine monomer and controls the diffusion of the monomer in an interfacial polymerization process, so that the structure of the selective polymer separation layer is regulated and controlled, and the surface appearance and thickness of the separation layer are optimized; due to the mesopore hydrophilic property of the middle layer, a rapid water transmission channel can be constructed, and the membrane flux is effectively improved. The composite membrane provided by the invention has excellent water flux, salt rejection rate and monovalent and divalent anion selectivity.

The invention relates to the field of sewage treatment, in particular to an urban sewage treatment system based on the Internet of Things. Comprising a grating tank, a desilting tank, an anoxic tank, an anaerobic tank, an aerobic tank, a sludge concentration tank and a disinfection tank which are sequentially connected, a membrane filtration unit and an aeration unit are arranged in the aerobic tank, the membrane filtration unit comprises a plurality of membrane assemblies which are distributed at equal intervals in the length direction of the aerobic tank, and each membrane assembly is provided with a flow sensor. A membrane treatment mechanism corresponding to each membrane component is arranged in the aerobic tank, each membrane treatment mechanism comprises a rotating frame and a sliding frame, and when the sliding frames slide along the sliding chutes from top to bottom, membrane surfaces with different heights are sequentially close to the aeration units to form a gradient flushing mode. The membrane flux condition of the membrane module is known through monitoring of the Internet of Things, the membrane treatment mechanism can be started in time, the membrane module slides down obliquely along with the sliding frame, the membrane surface is scoured section by section in combination with aeration, flux stability is effectively maintained, and stable operation of the sewage treatment system is ensured.

The invention discloses an anaerobic membrane bioreactor based on machine learning and a wastewater treatment method thereof, and belongs to the technical field of wastewater treatment and intelligent control. The reactor comprises an anaerobic tank, a membrane assembly, an electrochemical system and an intelligent control module, and the core of the reactor is that system operation parameters are dynamically optimized through multi-source heterogeneous data fusion and a machine learning algorithm. The intelligent control module integrates current, voltage, pH, TMP transmembrane pressure difference, membrane flux and microbial activity sensor data, a DRL deep reinforcement learning model is adopted to predict the membrane pollution trend, and electrochemical parameters (pulse frequency, duty ratio and reverse current period), electrolyte supply rate and aeration intensity are adjusted in real time in combination with a PID algorithm. Different water quality scenes are adapted through transfer learning, so that the high removal rate of COD (Chemical Oxygen Demand) is realized, the membrane cleaning period is prolonged, and the comprehensive energy consumption is reduced. The method breaks through the static limitation of a traditional control strategy, and provides a self-adaptive, low-consumption and high-stability solution for high-concentration organic wastewater treatment.

The invention discloses a membrane separation and concentration system for treating solid waste incineration fly ash, relates to the technical field of membrane separation, and aims to solve the technical problem that a concentrated solution is difficult to form a high-concentration state due to reduction of membrane flux caused by thickening of a filter cake layer. An annular filter membrane is installed on the rotating frame, a concentration chamber is formed in an inner cavity of the annular filter membrane, a supporting pipe body is arranged in the concentration chamber, a liquid inlet channel is arranged in an inner cavity of the supporting pipe body, and a plurality of gathering plates and collecting assemblies are further arranged in the concentration chamber. The device has the advantages that a stable filter cake layer formed on the surface of the membrane during static filtration is broken, membrane hole blockage caused by continuous deposition of impurities is avoided, a concentrated solution can be in full contact with a new filter hole area, which does not participate in preliminary filtration, of the annular filter membrane, the filter area of the filter membrane is utilized to the maximum extent, and the filter efficiency and the concentration multiple are improved.

The invention relates to the technical field of water purification treatment, and discloses an intelligent water purification system and method based on membrane feature recognition and pulse cleaning, and the method comprises the following steps: collecting discrete hydraulics monitoring data to construct a space-time synchronization hydraulic state tensor, and extracting pressure component mapping to generate a membrane resistance evolution topology curved surface and a resistance gradient vector; after a dominant pollution mechanism is matched and identified by using a pollution morphological feature library and a fluid pulse modulation parameter set is generated, an advanced energy storage potential energy target is calculated based on pipe network load prediction, and then an energy storage saturation state is established; driving the target membrane module to execute a multi-stage composite physical regeneration process including first forward flushing, reverse deep cleaning and second forward flushing, and implementing pressure dynamic compensation based on an advanced energy storage target; according to the invention, the pressure fluctuation caused by regeneration switching is eliminated by utilizing active potential energy release while deep regeneration of the membrane module is realized through an original three-section cleaning process, so that the water supply continuity and the membrane flux recovery rate are remarkably improved.

The invention discloses an ultrafiltration membrane water treatment control method. The method comprises the following steps: collecting inlet water quality parameters and membrane module operation parameters in real time; dynamically predicting a membrane pollution trend by using an online trained machine learning model based on the acquired parameters, and adaptively adjusting a transmembrane pressure difference control threshold according to a prediction result and historical operation data; executing membrane filtration operation according to the adjusted transmembrane pressure difference control threshold value, and monitoring a membrane flux change rate and an energy consumption change rate in real time; triggering a multi-stage backwashing program based on the membrane flux change rate, and synchronously optimizing the pressure, period and interval of backwashing in combination with the prediction model; and after backwashing is completed, membrane integrity detection is executed. According to the method, the machine learning model fusing the support vector machine and the long-short-term memory network is constructed, the membrane flux change rate is dynamically predicted in combination with real-time monitoring data, the trans-membrane pressure difference control threshold value and the backwashing strategy are intelligently adjusted accordingly, and collaborative optimization of the system operation efficiency and the membrane service life is achieved.

The invention relates to a method for controlling biological pollution of a reverse osmosis membrane through photoelectrochemical filtration pretreatment. According to the method, a photoelectrochemical reactor is mainly established to inhibit the bacterial biofilm forming ability under ultraviolet illumination and voltage conditions. The photoelectric chemical reactor is composed of a peristaltic pump, a magnetic stirrer, a reactor, an electrochemical filtering assembly, a direct-current power source and an ultraviolet light source and inhibits bacteria added into the reactor from forming a biological membrane. Under the action of voltage, the electrochemical filter assembly inhibits the biofilm forming ability and viability of bacteria by degrading protein and quorum sensing signal molecules in water, and more thoroughly inhibits the biofilm formation through the irradiation of ultraviolet light. Therefore, according to the method disclosed by the invention, the ultraviolet light can be combined with the electrochemical filter assembly to realize effective inhibition of a biological membrane formed by bacteria, the reduction of membrane flux is reduced, and the method has important significance in controlling biological pollution of the reverse osmosis membrane.

The present invention discloses an intelligent detection and dynamic early warning system based on machine learning and multi-source data fusion, which relates to the field of membrane separation process monitoring technology. It consists of a data acquisition and preprocessing part, a physical model and data-driven model part, a dynamic weight fusion and adaptive mechanism part, and a human-computer interaction and alarm part. The system collects parameters such as membrane flux, transmembrane pressure difference, solution concentration, temperature, water flow rate and operating pressure, and combines them with an improved XGBoost machine learning model to construct a comprehensive pollution index to quantify the degree of membrane pollution. The model uses feature engineering to achieve dual analysis of pollution mechanisms and data patterns. The system supports full closed-loop management from minute-level early warnings to hour-level cleaning decisions, and dynamically adjusts thresholds through Bayesian optimization, significantly improving the system's generalization and anti-interference capabilities. It is suitable for the intelligent operation and maintenance of membrane separation processes such as reverse osmosis and ultrafiltration.

This invention discloses a startup method for an AnDMBR dynamic membrane for sludge anaerobic digestion. During the startup phase, by adjusting the solids retention time, hydraulic retention time, biogas circulation intensity, and membrane flux in the membrane zone, the sludge operating concentration is rapidly increased and the dynamic membrane layer is rapidly formed, so that the transmembrane pressure difference in the membrane zone reaches the expected value in a short time, thereby improving the production efficiency of the reactor.

The application relates to the technical field of nanofiltration membrane processing, in particular to a modification and recycling method of waste nanofiltration membranes, which comprises the following steps: 1) cyclic normal-temperature cleaning of the nanofiltration membranes by using alkaline agents or acid agents in combination with ultrasonic waves, and the cleaned nanofiltration membranes are washed clean by using deionized water or distilled water; 2) oxidation modification treatment in an oxidation reaction device by using an ozone oxidation method; 3) oxidation modification by using an oxidation agent in a modification device; 4) oxidation modification by using an acid medium oxidizing agent in the modification device; 5) hydroxylation modification by using a hydroxylation agent in the modification device; 6) modification and stabilization treatment by using a buffer stabilizing agent, and washing clean, so as to complete the modification and recycling treatment of the waste nanofiltration membranes. According to the modification and recycling method, the waste nanofiltration membranes can be utilized, the modification process is relatively simple, the membrane surface is not damaged after modification, the nanofiltration membrane flux is significantly improved after modification, and the interception rate meets the design and use requirements.

The application discloses a kind of high selectivity nanofiltration composite membrane and preparation method thereof, belong to nanofiltration membrane related technical field.The application is in the form of in-situ polymerization with anhydride, ester group, amide group on membrane surface, the degree of hydrolysis of polyamide membrane is controlled by the cleaning of post-processing solution, to control the charge density of membrane surface, to improve or reduce the permeability of monovalent ion;By controlling the ratio of trimesoyl chloride and diacyl chloride monomer, the size of pore structure can be adjusted, further improving the permeability of monovalent salt;By adjusting the amount of hydrophilic pore-forming agent to improve the hydrophilic performance of ultrafiltration base film, the flux and monovalent salt permeability of nanofiltration composite membrane are improved.The high selectivity nanofiltration composite membrane prepared by the application has excellent divalent salt ion removal rate, lower monovalent salt removal rate, and higher water flux, suitable for industrial production.

The invention relates to a membrane electrode sewage treatment device with an in-situ cleaning function and a treatment method thereof. The membrane electrode sewage treatment device comprises a reaction tank, and an anode and a membrane assembly cathode are arranged in the reaction tank; the membrane electrode sewage treatment device further comprises a power supply device, a positive electrode of the power supply device is electrically connected with the anode, and a negative electrode of the power supply device is electrically connected with the membrane component cathode; a water outlet is formed in the top of the shell of the reaction tank and is communicated with a membrane component outlet adopted by the membrane component cathode. By introducing the electric cleaning technology and improving the coupling mode and electric field distribution of the electrode and the membrane assembly, in-situ cleaning of the membrane assembly is achieved, pollutants accumulated on the membrane surface can be effectively removed, generation of by-products is reduced, and the influence of membrane pollution on membrane flux is reduced, so that the service life of the membrane assembly is prolonged, the operation stability of the system is improved, and the service life of the membrane assembly is prolonged. And high efficiency and environmental friendliness of the cleaning process are ensured.

The invention belongs to the field of caprolactam aqueous solutions, particularly relates to a low-concentration caprolactam aqueous solution recovery system and method based on multistage membrane separation, and provides the following scheme aiming at the problems that the existing caprolactam aqueous solution contains a certain amount of particle suspended solids, and the suspended solids are easy to block membrane holes, so that the membrane flux is reduced and the service life is shortened. Comprising a main machine frame, an auxiliary machine frame is fixedly installed at the top of the main machine frame, two sets of high-pressure pumps are fixedly installed on one side of the auxiliary machine frame, a filter box is fixedly installed at the top of the auxiliary machine frame, and the bottom of the filter box communicates with liquid inlets of the two high-pressure pumps. A caprolactam solution is preliminarily filtered through multiple layers of filter plates in the filter box, particulate suspended solids are effectively removed, the quality of the solution entering a subsequent treatment link is guaranteed, a round rod and a rotating shaft are driven to rotate through an operation block, then the inclination direction of an adjusting plate is changed, and flexible communication between a liquid outlet position and different high-pressure pumps is achieved.

The application provides a phosphogypsum residue field water treatment process based on a membrane coupling chemical reactor, relates to the technical field of wastewater resource treatment, and can selectively perform gradient precipitation on fluorine, phosphorus, nitrogen and sulfur, cooperates with a membrane filter for targeted design, realizes a membrane separation process resistant to high-concentration suspended solids, and can make the membrane flux attenuation rate less than 5% / day. The application can effectively separate fluorine, phosphorus and nitrogen from water to form mud with resource value, the value of the resource product per ton of water treatment is higher than the treatment cost, 80% of the recovered water meets the industrial recycling standard, and the phosphogypsum residue field water can be advantageously used for quasi-zero emission and deep high-value resource utilization.

The utility model discloses a pulse type rapid cleaning device for a ceramic membrane of an anaerobic membrane bioreactor. The pulse type rapid cleaning device comprises a water inlet assembly, the anaerobic bioreactor, an anaerobic membrane separation assembly, a biogas separation and purification assembly, a sludge backflow assembly, a pulse backwashing assembly and a water outlet assembly. According to the utility model, a pulse-type rapid cleaning mode is adopted, when the front and rear pressures of the ceramic membrane exceed a certain numerical value to influence solid-liquid separation, online pulse-type backwashing is carried out, a corresponding pneumatic valve and a biogas compressor are opened during backwashing, biogas is injected into the pulse backwashing buffer, and when the water level of the pulse backwashing buffer reaches the water level required by backwashing, the pulse backwashing is stopped; and when the methane reaches a certain pressure, a pneumatic valve on a membrane backwashing water pipeline is opened, and the ceramic membrane is rapidly backwashed under the impulse formed by the gas pressure, so that the ceramic membrane can be rapidly washed by backwashing water, and the membrane flux is recovered.

The invention relates to the technical field of hemodialysis, in particular to a preparation method and system for a low-endotoxin hemodialysis concentrated solution, and the method comprises the steps: obtaining a preparation data set, extracting a temperature sequence, a pH value sequence and an endotoxin content index value, and calculating a membrane flux distribution sequence and an adsorbent activity distribution sequence. Performing primary dialysis path optimization to generate a first completely optimized network; identifying a target path node pair according to the target endotoxin content value, and performing secondary path extension to generate a second completely optimized network; and finally identifying a temperature and pH value regulation and control sequence corresponding to the target path node to complete preparation. By optimizing the network, the test workload is remarkably reduced, the endotoxin removal efficiency and the process parameter control precision are improved, and the problems that in the prior art, the endotoxin removal efficiency is low, and the product batch stability is poor are solved.

The invention relates to the technical field of sewage treatment, and particularly discloses a sewage treatment control method based on AI intelligent driving, and the method comprises the following steps: S1, collecting parameters in real time; s2, inputting the parameters into a pre-trained random forest model to obtain an output aeration rate set value, a sludge reflux ratio and a carbon source feeding rate; s3, adjusting the rotating speed of an aeration fan of the aerobic tank according to an aeration rate set value, adjusting the frequency of a sludge reflux pump according to a sludge reflux ratio, and adjusting a metering pump to add a sodium acetate solution according to a carbon source adding rate; and S4, when the turbidity of the MBR membrane pool exceeds a turbidity threshold value, giving out an early warning, further judging whether the transmembrane pressure difference of the MBR membrane pool exceeds a transmembrane pressure difference threshold value or whether the membrane flux attenuation exceeds a membrane flux attenuation threshold value, and if so, starting a pulse backwashing program.

The present invention is an improved system and method of crossflow microfiltration and ultrafiltration with a membrane that is subject to fouling during the filtration process. The system includes a permeate removal conduit for transferring permeate. The permeate removal conduit includes a flexible orifice arranged by flexing and contracting to regulate permeate flow through each membrane module and thereby regulating membrane flux through each membrane in the system. The system also includes a backpulse check valve to enhance delivery of backpulse and membrane cleaning fluids.

This invention discloses a layer-by-layer deposition modified ultrafiltration membrane with both antifouling and antibacterial properties, its preparation method, and its applications. Through layer-by-layer assembly technology, a tannic acid (TA) anion layer and a polyhexamethylene biguanide (PHMB) cation layer are alternately deposited on the surface of an ultrafiltration membrane. Under weakly alkaline conditions, electrostatic interactions, hydrogen bonding, Schiff base reactions, and Michael addition reactions are simultaneously utilized to achieve both non-covalent and covalent bonding, constructing a stable and dense integrated antibacterial-antifouling composite coating. This coating has a contact-type antibacterial structure, which can effectively kill bacteria in water and inhibit biofilm formation at the source. Simultaneously, it significantly improves the hydrophilicity of the membrane surface, reduces pollutant adsorption and deposition, and achieves synergistic enhancement of antibacterial and antifouling properties. The preparation process of this invention is mild, simple, low-cost, and environmentally friendly. The modified membrane exhibits high flux retention, excellent separation performance, and excellent operational stability, and can be widely applied in water treatment scenarios such as municipal wastewater treatment.

The application is a kind of intelligent regulation and control ceramic membrane microalgae recovery system and method.The application relates to the technical field of microalgae recovery, the application inoculates target microalgae varieties in a microalgae culture pond, and sets appropriate temperature, light intensity, nutrient substance addition amount initial culture conditions according to the growth characteristics of microalgae; each parameter in the microalgae culture pond is monitored in real time through an intelligent monitoring module; according to the monitoring data, a ceramic membrane filtration unit is controlled through a feedback control unit, the filtration performance of the culture solution is improved, and the stability of the membrane flux is maintained. Compared with the traditional ceramic membrane recovery method, the microalgae recovery efficiency is improved by more than 30%, the membrane pollution degree is reduced by more than 40%, the economic benefit and environmental benefit of microalgae recovery are greatly improved, and a solid foundation is laid for the large-scale industrialized development and utilization of microalgae resources.