435 results about "Membrane fouling" patented technology

The invention relates to the field of wastewater treatment, and provides an industrial wastewater membrane process intelligent optimization method and system based on multi-dimensional data modeling. The method comprises the following steps: acquiring wastewater quality parameters of a target scene and a production line equipment state in real time through a multi-dimensional sensor network, and constructing a digital twinborn model of a wastewater treatment system in the target scene; the membrane surface pollution type of each node in the wastewater treatment system is identified through a digital twin model, and the inner membrane pollution evolution condition in the future preset duration is predicted; a multi-strategy evolutionary reinforcement learning algorithm is adopted, the wastewater quality parameters, the production line equipment state and the membrane pollution prediction result are combined, multi-target dynamic optimization is conducted on a wastewater treatment system through a multi-agent collaborative decision-making algorithm, an optimization strategy is generated based on the multi-target dynamic optimization result, and membrane process operation parameters and production control parameters are dynamically adjusted. According to the method, real-time intelligent adjustment of membrane process operation can be realized, the stability of membrane process operation is guaranteed, and the treatment efficiency of membrane process operation is improved.

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 provides a hollow fiber membrane cleaning pressure self-adaptive adjustment control method and system, and relates to the technical field of control, and the method comprises the following steps: in a set temperature range, washing a water inlet side and a water production side through a constant flow, and determining a target transmembrane pressure difference interval; according to the transmembrane pressure difference deviation and the change rate, the rotating speed of a water inlet pump and the opening degree of a concentrated water discharge valve are cooperatively regulated and controlled according to a valve-first and pump-second sequence; when the transmembrane pressure difference reaches the upper limit and pollution is reversible, an impact cleaning sequence is generated, the opening of a concentrated water valve is increased, and the rotating speed of a water inlet pump is increased to form shear scouring. According to the invention, the self-adaptive adjustment of the cleaning pressure in the membrane pollution process is realized, and the membrane cleaning efficiency is improved.

The invention relates to the technical field of wastewater treatment in the water treatment technology, in particular to a wastewater treatment multistage dynamic quantification control system based on result feedback, which comprises a storage module, an identification module, a quantification module and an execution module, the storage module stores a causal chain in a reaction process, the identification module identifies a matching state of a current operation parameter and the causal chain and enables the quantification module to determine a risk index, and the execution module performs control optimization to execute corresponding measures based on the determined risk index. Tracking intervention from a pollution source to a derivation phenomenon is realized, a pollution migration problem implied in wastewater treatment is converted into an identification item of quantitative operation, and limitation of traditional single-point identification control is broken through through sequential logic verification and a multi-dimensional matching degree fusion mechanism. The accuracy of membrane pollution prevention and control and the resource utilization efficiency are improved while the process continuity is guaranteed, and a closed-loop control normal form of traceability pre-judgment dynamic quantification grading interception is formed.

The invention belongs to the technical field of sewage treatment and membrane separation, and provides an in-situ nondestructive membrane pollution detection system and method based on an ultrasonic transmission signal, and the system comprises an ultrasonic excitation module which is used for generating a sine wave excitation signal which penetrates through a membrane body to excite the ultrasonic transmission signal for pollution detection; the signal processing module is used for continuously collecting and preprocessing ultrasonic transmission signals of the clean membrane body and the membrane bodies with different pollution degrees, extracting ultrasonic transmission signal characteristics under different pollution degrees, and establishing a pollution thickness-signal characteristic mapping model; wherein the ultrasonic transmission signal features comprise a time-frequency domain energy gravity center feature and a frequency attenuation spectrum slope feature; and the pollution detection module is used for judging the pollution stage of the membrane body to be detected based on the pollution thickness-signal feature mapping model, and completing in-situ nondestructive membrane pollution detection. According to the technical scheme, the sludge pollution state in the ceramic membrane and flat membrane filtering process can be monitored in real time, and early warning and pollution dynamic tracking are achieved.

The invention discloses a heavy metal sewage deep purification system integrating membrane separation and chemical precipitation, and relates to the technical field of sewage treatment.The system comprises a sewage primary treatment module, a water quality parameter acquisition module, a process parameter decision module, a precipitation reaction regulation and control module and a deep separation and purification module; through a combined structure of coarse and fine grids and a horizontal flow sedimentation tank in the sewage primary treatment module, large-particle impurities and suspended solids in sewage are removed, a stable water quality basis is provided for subsequent treatment, the water quality parameter acquisition module acquires parameter data in real time through a multi-sensor fusion array, and the water quality parameter acquisition module acquires the water quality parameter data in real time. Accurate data support is provided for technological parameter decision making, the technological parameter decision making module generates a control instruction of precipitant adding and membrane operation pressure through calculation based on real-time data and historical operation data, the accuracy and adaptability of the treatment process are ensured, and the accurate control strategy not only improves the removal efficiency of heavy metal ions, but also improves the removal efficiency of the membrane operation pressure. And the risk of membrane pollution is also reduced.

According to the efficient water treatment system based on the reverse osmosis membrane and the control method provided by the invention, gradient anti-pollution membrane arrangement and reconfigurable intelligent waterway design are creatively combined, so that a foundation is laid for high-flux and low-pollution operation from a physical structure; meanwhile, a full-closed-loop intelligent control system is constructed, and by fusing fuzzy logic, an optimization algorithm and a neural network prediction model, the system can integrate multi-dimensional information such as inlet water quality, membrane pressure difference and water yield, judge pollution risks in real time and adaptively and seamlessly switch among a high recovery mode, a segmented flushing mode and a prediction cleaning mode, so that the system is high in recovery efficiency and high in reliability. Meanwhile, parameters such as pump frequency and valves are dynamically optimized to find an optimal balance point of recovery rate and energy consumption; according to the invention, the recovery rate can be stably improved, the membrane pollution rate is greatly reduced, the chemical cleaning period and the service life of the membrane element are prolonged, and finally, the comprehensive operation and maintenance cost of the system is remarkably reduced while the water treatment efficiency and the water quality safety are improved.

The direct drinking water system comprises a pretreatment device, a membrane treatment device, a finished product water tank, a cleaning device, a water supply branch and a water return branch, the cleaning device comprises a concentrated water tank, a gas-liquid mixing branch, a bypass pipeline, a pulse water supply branch, a cleaning main pipe, a forward washing branch, a backwashing branch and a lower opening sewage branch. According to the utility model, quick switching in the cleaning process of the hollow fiber membrane is realized, the highest and lowest pressurization values in each period are accurately controlled, and meanwhile, adverse effects on membrane water production caused by water production of a water hammer and an air hammer are avoided; the pulse type positive and back washing is combined, so that the membrane pollutants are removed more thoroughly; according to the device, ozone microbubbles of a cleaning medium are exploded, so that the pollutant removal capacity is also improved; and when the filtered water in the finished water tank is stored for a long time, the ozone aeration device can also be used for sterilizing the filtered water, so that the application range of the device is expanded, and the safety of direct drinking water is guaranteed.

The present invention relates to a method for automated data processing to assess the state of multiple filtration membranes used in liquid filtration. The method involves receiving data from state sensors positioned within or near a set of membranes, which process incoming water into permeate and concentrate flows. This data, collected as time series at predefined frequencies, pertains to external physical parameters. An operating indicator is determined from this data, forming a second time series. Both the first and second time series are recorded as point clouds over a specified acquisition period. An intermediate operating indicator is generated, representing the state of new, clean, or cleaned membranes, using a learned normalization model. Finally, a normalized operating indicator is produced, characterizing membrane fouling and aging, independent of environmental variations, and forming a third time series. This method enhances the accuracy of membrane state assessment in filtration systems.

This invention relates to the field of water treatment technology, specifically to a reverse osmosis membrane cleaning agent composed of a non-oxidizing bactericide and an enzyme, and its application. Its main purpose is to remove biofouling from reverse osmosis membranes and restore membrane flux. This patent discloses a novel reverse osmosis membrane cleaning agent formulation. Considering the different pH requirements of the cleaning agent in actual production, different types of bioactive hydrolytic enzymes are selected to disrupt the structure of bacterial cell walls and their extracellular polymers. A reducing agent and a non-oxidizing bactericide are combined to enhance the cleaning effect of the reverse osmosis membrane. For different cleaning purposes, non-oxidizing bactericides suitable for acidic and alkaline cleaning are formulated. Sodium benzoate and benzalkonium chloride show good application prospects in the removal of reverse osmosis membrane fouling.

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 relates to the technical field of data processing, and discloses an automatic control method and system for wastewater desalination treatment based on the Internet of Things. The method comprises the following steps: acquiring a membrane surface image, an interface potential, an infrared spectrum, a transmembrane pressure difference, a feeding flow rate and a flocculation image; calculating a salt gradient attention feature vector according to the salt concentration difference value and the Beckey number; inputting the multi-modal data into a membrane pollution time sequence memory network to obtain a pollution development rate and a flocculant adding proportion; extracting a floc particle size parameter to obtain a flocculation effect score; and constructing a multi-objective function optimization solution to obtain a control instruction. The salt gradient attention mechanism and the membrane pollution time sequence memory network are introduced, and visual image recognition and multi-modal data fusion are combined, so that the problems of inaccurate membrane pollution state evaluation, low intelligent level of a control algorithm and insufficient multi-target collaborative optimization capability in the prior art are solved; the automation level and the treatment efficiency of wastewater desalination treatment are improved.

The invention discloses a membrane filtration sewage treatment system based on fine control, relates to the technical field of sewage treatment, and solves the technical problems of delayed response to water quality and water quantity fluctuation and extensive biochemical reaction control caused by water inlet load impact in an existing sewage treatment system. The system comprises an inflow water pretreatment module used for predicting inflow water quality in real time by using a water quality prediction model based on a neural network, and carrying out water quantity balance and water quality adjustment on inflow water according to a prediction result to obtain a first water body; the biochemical reaction module is used for cooperatively controlling external carbon source addition, nitrification liquid backflow and aeration intensity in the biological reaction process of the first water body by utilizing a multivariable model predictive control method to obtain a second water body after biochemical reaction; and the deep purification module is used for carrying out solid-liquid separation and deep purification on the second water body to obtain an effluent water body, and triggering cleaning and maintenance operation of the membrane based on a prediction result of the membrane pollution characteristics.

The invention discloses a membrane bioreactor membrane pollution prediction method and system, and relates to the technical field of pollution detection. The method comprises the following steps: setting a frequency detection strategy, and connecting a membrane bioreactor to obtain a membrane feedback signal based on the frequency detection strategy; performing feedback signal fluctuation time sequence characteristic analysis based on the membrane feedback signal to obtain a feedback signal characteristic; the feedback signal features are combined with reactor operation parameters to be imported into a mechanism hybrid prediction model, mechanism constraint is carried out through a mechanism constraint layer according to the feedback signal features, data analysis is carried out on time series data features on the basis of the mechanism constraint through a data driving prediction layer, and a membrane state prediction result is obtained; and performing membrane pollution state analysis and progress prediction according to the membrane state prediction result, and generating a membrane pollution prediction data chain. The technical problems that in the prior art, membrane pollution prediction depends on an empirical threshold, so that recognition lags and precision is insufficient are solved, and the technical effect of improving membrane pollution prediction accuracy and real-time performance is achieved.

The invention provides an intelligent maintenance cleaning device for nanofiltration membrane pollution control and a method thereof, and solves the problems of low maintenance cleaning efficiency, poor adaptability of cleaning parameters and pollution conditions and frequent chemical cleaning of an existing nanofiltration system. Belongs to the technical field of membrane pollution control. According to the invention, the filtering system, the cleaning system and the intelligent decision-making module are integrally designed, so that the closed-loop control of the whole process of real-time monitoring, pollution identification, intelligent decision-making and automatic cleaning of the running state of the nanofiltration membrane is realized. The cleaning effect gating memory neural network model is used as a membrane pollution prediction model, membrane pollution can be accurately predicted, and key cleaning nodes can be identified. The optimal membrane cleaning parameters are generated by adopting a non-dominated sorting genetic algorithm, the usage amount of chemical agents and the cleaning cost are reduced, and the membrane pollution control effect is improved. The invention is applicable to the field of drinking water treatment.

A membrane fouling monitoring and analysis system may be used on a food and beverage membrane operated over a plurality of production periods separated by daily clean-in-place cleanings. In some examples, the system receives data indicative of a flow of one or both of a permeate stream and a retentate stream of the membrane during the plurality of production periods and determines a trend of at least one parameter associated with the data to provide a determined trend. The system may compare the determined trend to a baseline fouling trend and determine if and / or when to perform a deep cleaning on the membrane based on comparison. The system may subsequently execute the deep cleaning on the membrane at the scheduled time.

The invention relates to the technical field of mine water treatment, in particular to a mine water filtering device.According to the mine water filtering device, an ultrafiltration membrane assembly is arranged in a membrane pool to filter mine water, a pressure detector is arranged at a liquid outlet to monitor the water pressure in real time, and the pressure detector transmits real-time data to a controller; the controller is used for judging whether the water pressure entering the clean water tank meets the water production requirement or not, and automatically controlling the starting and stopping of each electrical device according to the judgment result, so that the spraying pump and the moving assembly are started in time when the membrane pollution problem occurs, and the clean water in the clean water tank is pumped to the spray head through the water production pipeline to clean the ultrafiltration membrane assembly; and different positions of the ultrafiltration membrane assembly are cleaned by moving the spray head through the moving assembly, so that pollutants on the surface of the ultrafiltration membrane can be quickly and thoroughly removed, and the water production efficiency is ensured. And moreover, the device does not need to add a coagulant to carry out flocculation and sedimentation treatment on the mine water, so that potential risks of drug residues on subsequent recycled water quality are avoided.

The invention discloses a membrane pollution state evaluation method, device and equipment of a membrane bioreactor and a medium, and relates to the technical field of membrane method water treatment.The membrane pollution state evaluation method comprises the steps that membrane pollution monitoring index data of the membrane bioreactor are periodically collected, and a periodic time sequence data set used for analyzing and evaluating membrane pollution changes is generated according to the membrane pollution monitoring index data; analyzing the membrane pollution monitoring index data in the periodic time sequence data set according to a preset pollution evaluation rule to determine an index evaluation value corresponding to a membrane pollution monitoring index in the membrane pollution monitoring index data; and determining the pollution state of the membrane bioreactor according to the index evaluation value. Therefore, by analyzing the membrane pollution monitoring data, the membrane pollution potential and state change are mastered, the membrane system operation condition adaptability is evaluated, the reversible membrane pollution degree change and the irreversible membrane pollution degree change are distinguished, special data processing and analysis software does not need to be developed, and the low cost and the reliability, stability and accuracy of the monitoring data are ensured.

The invention relates to a water treatment and membrane separation technology, and provides an integrated catalytic separation membrane, a preparation method thereof, and a water treatment method and system. According to the membrane, polyvinylidene fluoride is used as a continuous phase to form a porous matrix, and cerium dioxide is embedded and fixed in a mode of uniform dispersion in a membrane body in a phase inversion membrane forming process; in the presence of illumination and peroxysulfate, active species are generated through in-situ activation on a membrane-water interface, and membrane separation is completed synchronously. The water treatment method comprises the following steps: adding peroxymonosulfate or peroxydisulfate into a water body to be treated, and filtering through the membrane under illumination; the photothermal effect generated by organic matter degradation intermediates in operation inhibits membrane pollution and maintains flux. According to the invention, short-range coupling of active sites and mass transfer channels is realized, the medicament and energy utilization rate is improved, the coating stripping and metal dissolution risk is reduced, and the method is suitable for drinking water pretreatment, reclaimed water deep treatment and treatment of water containing natural organic matters / humic acid.

The invention relates to the technical field of water treatment, in particular to a nanofiltration membrane integration process for treating leachate of a garbage transfer station and a flocculating agent for a pretreatment section of the nanofiltration membrane integration process. According to the flocculating agent, the efficient composite flocculating agent is generated in situ through the cooperation of the ionic liquid grafted diatomite and the sulfonate modified branched polyamide cross-linked substance and the combination of the aluminum salt and the ferric salt, so that rapid removal of multiple pollutants and enhancement of floc stability are realized, and the follow-up membrane blockage risk is remarkably reduced. According to the process, an innovative pretreatment-graded nanofiltration-deep purification mode is adopted, membrane types of nanofiltration sections are optimized and screened according to pollutant characteristics, flexible combination of molecular step filtration, terminal combined light-Fenton oxidation, compact nanofiltration or reverse osmosis is realized, and efficient reduction of COD (Chemical Oxygen Demand) and salt content and energy consumption control are taken into consideration. The process has the advantages of stable effluent quality, low membrane pollution and greatly reduced medicament and operation cost, adapts to different emission standards, and has significant engineering application value.

The invention discloses an ozone catalytic oxidation coupling membrane separation sewage and wastewater advanced treatment and catalyst recycling method, and belongs to the technical field of sewage and wastewater treatment. The invention aims to solve the problem that the existing ozone powder catalyst is difficult to recover and not easy to reuse. By developing a catalytic ozonation coupling membrane separation process, an integrated process structure and a split process structure and an operation mode are provided, and a backwashing method is utilized, so that recycling of a high-efficiency powder catalyst is realized, and deep treatment and purification of sewage and wastewater are coordinated. According to the method, the high efficiency of ozone oxidation is fully exerted, a large number of hydroxyl free radicals generated by fast catalytic ozonolysis efficiently oxidize and degrade organic matters, the influence of complex water quality can be dealt with, a regular membrane cleaning strategy is adopted, membrane pollution is effectively relieved, the service life of a membrane is prolonged, and the recovery rate and catalytic efficiency of a catalyst are ensured; the device has the advantages of easiness in operation, small occupied area, simple equipment structure, easiness in long-term operation and the like.

The invention relates to the technical field of industrial wastewater treatment and resource recovery, discloses a printing and dyeing wastewater desizing water alkali recovery method, and solves the problem of low recovery treatment efficiency caused by serious membrane pollution when printing and dyeing desizing wastewater is treated by an existing membrane separation technology. The method comprises the following steps: carrying out homogenization and dissolved air flotation pretreatment on high-temperature desizing water to remove most of grease and suspended solids; then, clear liquid is filtered through an ultrafiltration membrane, a negative pressure environment is constructed on the membrane shell side to extract penetrating fluid in real time, meanwhile, fine bubbles are injected into feeding liquid to form gas-liquid two-phase flow, and the net pushing force of the membrane surface is controlled to be maintained in a 0.02-0.04 MPa micro-positive pressure interval so as to reduce membrane pollution; and carrying out nanofiltration purification on the primarily filtered water to finally obtain high-purity recovered alkali liquor. According to the invention, the problems of serious membrane pollution and fast flux attenuation in the traditional membrane treatment process are effectively solved, and efficient recovery of alkali and long-term stable operation of the system are realized.

A membrane technology based on a wettability material has the problem of membrane pollution and cannot efficiently and stably separate and purify oil-containing wastewater, so that a preparation method of a hydrophilic membrane with excellent hydrophilicity and an open pore channel is urgently needed. The invention discloses an ultrahigh hydrophilic membrane for efficiently and stably separating an oil-in-water emulsion, which is characterized in that magnetic nanoparticles (Fe3O4 MNPs) are wrapped in membrane fibers through electrostatic spinning and an in-situ growth method, and a hydrophilic polyaniline rough micro-nanosphere structure grows on the surface of the membrane fibers. Under the action of a magnetic field, the magnetic particles obtain magnetism, the generated magnetic interaction force pulls the nanofiber to optimize the membrane structure, and hydrophilic groups are further exposed while membrane holes are supported. The flux of the prepared three-dimensional hydrophilic membrane for separating n-hexane-in-water emulsion under the action of a 0.2 T magnetic field is up to 8957.9 Lm <-2 > h <-1 >, and the efficiency is up to 99.87%. The membrane shows optimal separation performance in short-term and long-term cycle tests, and is expected to be applied to actual oily wastewater purification scenes.

The invention relates to the field of separation and purification, in particular to an anti-pollution nanofiltration membrane for magnesium-lithium separation, the anti-pollution nanofiltration membrane comprises a base membrane and a functional layer, and the functional layer is prepared from the following raw materials in parts by weight: a water phase: 1.5-2.5 parts of piperazine, 0.1-1 part of lauryl sodium sulfate, 0.5-2 parts of glycerol, 1-2 parts of triethylamine, 0.6-2 parts of ionic polymer, and the balance of water for supplementing the total amount of the water phase to 100 parts; the ionic polymer comprises at least one of sulfobetaine metacrylic acid ester, sulfobetaine and carboxyl betaine metacrylic acid ester; and an oil phase: 0.1-1 part of trimesoyl chloride, and the total amount of the oil phase is supplemented to 100 parts by normal hexane or isoparaffin. The ionic polymer is added, and a compact hydration layer is formed on the surface of the membrane by using a betaine group of the ionic polymer, so that the membrane pollution probability is reduced, and common inorganic scaling and organic pollution in the high-salt brine are remarkably inhibited; in addition, the ionic polymer enables the membrane surface to have strong negative electricity, and the magnesium ion rejection rate is improved; and the ionic polymer can also reduce the lithium ion transmission energy barrier and reduce the rejection rate.

The invention relates to the technical field of sewage treatment, and discloses a membrane bioreactor and system based on piezoelectric vibration. The membrane component in the MBR comprises a composite membrane material and a membrane frame, the composite membrane material comprises a piezoelectric material and an MBR membrane material, the MBR membrane material is used for realizing solid-liquid separation; the piezoelectric material is used for driving the MBR membrane material to vibrate; and the membrane frame is used for fixing the two ends of the membrane filaments in the composite membrane material and providing membrane filament water producing and backwashing water channels and cable channels, so that the whole membrane component with certain mechanical strength is formed. The MBR membrane material is driven to vibrate through piezoelectric vibration, so that membrane pollution is inhibited, and the water production efficiency and the cleaning efficiency of the membrane are improved.

The invention relates to the field of environmental engineering and technology, and discloses a coprocessing method for coking wastewater based on MBR (membrane bioreactor) technology, which sequentially comprises the steps of pretreatment, biological enhancement treatment, nitrogen and phosphorus removal treatment, sludge regulation and control treatment, membrane pollution control treatment and circular treatment, and comprises the following steps: introducing coking wastewater into a grating and a grit chamber; performing pretreatment to remove large-particle impurities; in the biological enhancement and nitrogen and phosphorus removal stage, a microbial agent is added to regulate and control the reaction environment so as to improve the pollutant degradation efficiency; accurate management and control of sludge performance and membrane pollution are realized by using an online monitoring technology; finally, sludge, cleaning wastewater and the like generated in all links are collected in a classified mode, the sludge is subjected to resource utilization after stabilization treatment, the cleaning wastewater is reused in the pretreatment stage, and a closed-loop treatment system is formed; through the steps, the problems of incomplete removal of COD (Chemical Oxygen Demand) and ammonia nitrogen, low removal rate of total nitrogen and total phosphorus, sludge bulking, fast membrane pollution and high risk of secondary pollution in the traditional process are effectively solved.

The invention discloses a column type membrane assembly aiming at MABR. The assembly comprises an upper end gas inlet membrane shell and an upper fixing plate, a lower fixing plate and a lower end tail gas collecting membrane shell, a supporting pull rod supported between the upper fixing plate and the lower fixing plate, and a bunchy villus type hollow membrane arranged between the upper fixing plate and the lower fixing plate. Two ends of the hollow film are filled with glue to form a through gas path; and the upper-end gas inlet membrane shell and the lower-end tail gas collecting membrane shell are provided with upper and lower aeration pipes. The overall three-dimensional layout is adopted, the distribution density of the membrane filaments in unit volume is improved, and compared with a curtain type structure, the membrane area is increased, and the volume requirement of a pool body is reduced; the hollow membrane optimizes the diffusion path of oxygen from a gas phase to a liquid phase, the oxygen mass transfer efficiency is improved, oxygen is almost fully utilized, and the aeration energy consumption is reduced; the outer-layer fluff structure provides a large specific surface area, so that attachment growth of microorganisms is facilitated, and the wastewater treatment efficiency is improved; the pulse aeration at the center of the column body fully aerates and washes the surface of the membrane, so that the aged biological membrane is stripped, and the membrane pollution is effectively retarded.

The invention discloses a sewage advanced treatment device of an electric flocculation-AOA type MBBR coupled gravity-driven membrane bioreactor for rural domestic sewage treatment and a water treatment method, through the coupling effect of an electric flocculation basin and an AOA type MBBR coupled gravity-driven ceramic membrane bioreactor, gravity driving is adopted, and the sewage advanced treatment device is used for treating rural domestic sewage. The device has the advantages of flexible operation, low water loss, impact load resistance and the like, and regular backwashing or replacement of filter materials and aerators is not needed. Compared with a traditional MBR membrane, the MBBR process has the advantages that the mechanical strength is remarkably improved, the service life is remarkably prolonged, the membrane pollution problem is solved, the membrane flux is increased, the operation and maintenance cost is reduced, the nitrogen and phosphorus removal capacity is improved, a carbon source in raw water can be fully utilized, deep decarburization can be performed without additionally adding the carbon source, and the energy consumption is reduced. Meanwhile, the method also has the advantages of low energy consumption and the like, so that by adopting the AOA process, the carbon source requirement is reduced, the carbon emission is reduced, and low-carbon operation is realized.

The invention discloses a calcium hydroxide and industrial wastewater co-treatment method, and relates to the technical field of environmental engineering, and the method comprises the following steps: S100, adopting global dynamic light scattering and electromotive force imaging combined monitoring, and monitoring surface charge change and particle size evolution of nanoparticles in industrial wastewater in a calcium hydroxide adding process in real time, and extracting a dynamic threshold index of dispersion stability mutation. According to the invention, a dispersion stability threshold is extracted through dynamic light scattering and electromotive force imaging, a particle dispersion risk index is constructed, real-time evaluation of aggregation failure of nanoparticles and dynamic prediction of a feeding strategy are realized, linkage feeding of a chelating organic polyamine flocculant is combined, bridging and surface energy mutation are blocked, and stability of charges and particle sizes is maintained. By means of closed-loop feedback and on-line early warning, the adding proportion is optimized, the gathering and settling efficiency is improved, membrane pollution and filtering blockage are reduced, and the stability and economical efficiency of wastewater treatment are improved.

The application relates to the technical field of data processing, and discloses a wastewater desalination treatment automatic control method and system based on an Internet of Things. The method comprises the following steps: collecting a membrane surface image, an interfacial potential, an infrared spectrum, a transmembrane pressure difference, a feed flow and a flocculation image; calculating a salt gradient attention feature vector according to a salt concentration difference value and a Berkeley number; inputting the membrane pollution time sequence memory network combined with multi-modal data to obtain a pollution development rate and a flocculant dosage ratio; extracting a floc particle size parameter to obtain a flocculation effect score; and constructing a multi-objective function optimization solution to obtain a control instruction. By introducing a salt gradient attention mechanism and a membrane pollution time sequence memory network, combining visual image recognition and multi-modal data fusion, the problems of inaccurate membrane pollution state evaluation, low intelligent level of a control algorithm and insufficient multi-target collaborative optimization capability in the prior art are solved, and the automation level and processing efficiency of wastewater desalination treatment are improved.