102 results about "Transmembrane pressure" patented technology

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 discloses a regulation and control method for stably improving the water quality of water produced by a reverse osmosis system of a power plant, and relates to the field of water quality regulation and control, which comprises the following steps: configuring a water inlet flow regulation device, performing initial setting, configuring the position of an online sensor, performing data acquisition, setting judgment rules of turbidity, differential pressure and transmembrane pressure difference, and determining the water quality. And configuring a flocculant adding device and adding control logic, configuring a backwashing and adding linkage control state machine, and carrying out data smoothing, trend analysis and self-adaptive threshold adjustment. When the water quality of the raw water fluctuates for a short time or the pollution load is increased, dynamically adjusting the water inlet flow, the backwashing intensity and the flocculant adding concentration based on parameters such as turbidity, pollution index, conductivity and pressure difference which are acquired by an online sensor in real time; and meanwhile, the concentrated water reflux proportion and the high-pressure pump frequency are automatically corrected by continuously calculating the desalting rates of the first-stage and second-stage reverse osmosis devices, so that the running state of the membrane component is kept in an optimal interval.

The invention discloses a printing and dyeing wastewater zero-discharge treatment process based on low-pressure high-power membrane concentration and salt separation synergy. The wastewater is sequentially subjected to the steps of double-alkali softening pretreatment, organic pollutant treatment, forward osmosis low-pressure high-power concentration treatment, salt separation treatment and evaporative crystallization. Wherein the forward osmosis low-pressure high-power concentration treatment is performed in a partitioned manner along the flow direction, the osmotic pressure difference is gradually increased, the transmembrane pressure difference is gradually decreased, and interface electrochemical buffer and low-frequency gas-liquid disturbance can be set to inhibit concentration polarization and pollution. Carrying out nanofiltration and salt separation on the concentrated solution to obtain two paths of saline water mainly comprising Na2SO4 and NaCl, and respectively carrying out evaporative crystallization on the two paths of saline water; and refluxing and reusing the water produced by the draw solution. According to the process, high-power concentration and stable salt separation are realized under low mechanical pressure, the energy consumption is reduced, the water recovery rate and the crystal purity are improved, and zero discharge of wastewater is realized.

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 belongs to the technical field of wastewater treatment and recycling, and relates to a low-pressure ultrafiltration sewage treatment method and device based on bioelectrochemical enhancement and application. The treatment device consists of a water inlet tank, a constant water level water tank, a cathode, a resistor, a membrane assembly, a biological filter cake layer, a pre-filtering layer-anode, an ultrafiltration membrane, a water collecting device, a data acquisition module and a computer. The treatment device is used for treating effluent of a secondary sedimentation tank of a sewage plant and tail water of livestock and poultry breeding wastewater; on the basis of retaining nitrogen and phosphorus resources, deep removal of heavy metals and antibiotics is realized, propagation of resistance genes is inhibited, and safe reuse of nitrogen and phosphorus resources in effluent of sewage plants and tail water of livestock and poultry breeding wastewater can be realized. In the invention, low-pressure ultrafiltration adopts transmembrane pressure difference generated by gravitational potential energy to realize continuous flow filtration, coupled bioelectrochemistry utilizes electric energy generated by biodegradation of organic matters to realize reduction of heavy metals and deep removal of reinforced antibiotics, and the method has the advantages of greenness, low carbon and sustainability.

The invention relates to the technical field of biological material preparation, and particularly discloses a method and a system for industrial continuous production of silk fibroin. In order to solve the problems of high energy consumption, heavy pollution, low efficiency, poor product stability and the like in the prior art, efficient removal of sericin is realized through a gradient degumming synergistic treatment technology (high-temperature and high-pressure alkali treatment and directional enzymolysis), and desalination and concentration are synchronously completed in combination with a membrane separation directional purification technology (a hollow fiber ultrafiltration system). The system integrates the gradient degumming module, the dissolution-filtration coupling module, the membrane separation module and the resource circulation subsystem, the technological parameters (degumming rate, viscosity and transmembrane pressure difference) are regulated and controlled in real time through the intelligent control center, the continuous production stability is ensured, the purity of the obtained silk fibroin solution is larger than or equal to 99%, and the standard of beauty makeup materials is met. The method and the system for industrial continuous production of silk fibroin have the advantages of high efficiency, low consumption and environmental protection, and are suitable for large-scale production.

The invention provides a cation exchange membrane chromatography medium and a preparation method and application thereof, the cation exchange membrane chromatography medium comprises a homo-porous membrane, polydopamine is loaded on two side surfaces and in a pore structure of the homo-porous membrane, and a cation exchange functional ligand is grafted on the polydopamine; a homogeneous pore membrane is selected as a matrix membrane, polydopamine is loaded on the surface and in an internal pore structure of the homogeneous pore membrane, and then a cation exchange functional ligand is further grafted, so that the surface of a chromatography medium of the obtained cation exchange membrane has relatively strong negative charges, and biomolecules with positive charges can be effectively adsorbed, thereby being separated from biomolecules with negative charges; meanwhile, the membrane is relatively low in transmembrane pressure and relatively high in separation degree, also has the characteristics of high permeability and high selectivity, and is suitable for being applied to separation and purification of biological drug macromolecules.

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 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 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.

A control device (10) and method for determining the permeability state of a forward osmosis (FO) membrane (2c) of a FO device (2) in a dialysate generator (1). The FO membrane (2c) separates a feed side (2a) and a draw side (2b) of the FO device (2). The FO device (2) has a feed inlet port (E) in fluid communication with the feed side (2a). in ) and the feed outlet port (E out ) and a draw inlet port (L ) in fluid communication with the draw side (2b). in ) and draw outlet port (L out ). The method includes providing (S1) a flow of pure water to the feed side (2a) and providing (S2) a flow of pure water to the draw side (2b). The method further includes monitoring (s3) one or more pressures indicative of a transmembrane pressure, TMP, between the feed side (2a) and the draw side (2b). The method further includes stopping (S4) the flow through one of the ports such that the TMP is maintained constant and of a non-zero magnitude, controlling (S5) the flow to or from one of the feed side (2a) and the draw side (2b) with the flow stopped based on the monitored one or more pressures, and determining (S7) a permeability state of the FO membrane based on a characteristic indicative of the flow.

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 invention discloses a water treatment control system and method based on multi-membrane collaborative purification, and belongs to the field of industrial control systems, and the system comprises the following modules: a water treatment control first path module, a multi-membrane state label determination module, and a water treatment control second path determination module. According to the water treatment control system and method based on multi-membrane collaborative purification, collaborative monitoring and dynamic adjustment of a front-stage membrane section and a rear-stage membrane section are achieved, the change of transmembrane pressure difference, effluent turbidity, outlet flow and membrane section loads can be responded in real time, and multi-membrane collaborative purification is achieved by adjusting the opening degree of a multi-membrane linkage valve and adjusting the frequency of a main pump. And flow balance, load optimization and water quality stability are realized.

The present application relates to the technical field of blood monitoring, in particular to a vascular health assessment and intelligent nursing system for hemodialysis patients. The degree of venous reflux obstruction is determined based on the change trend and degree of venous pressure data within each dialysis period, and the degree of inconsistency between the change trends of venous pressure data and transmembrane pressure data. The degree of arterial supply obstruction is determined based on the change trend and degree of arterial pressure data within each dialysis period. The suspected internal fistula obstruction period is determined based on the change trend of the degree of venous reflux obstruction and the degree of arterial supply obstruction. The nursing intervention prompting degree of the patient to be tested is determined based on the relationship between the blood flow data and arterial pressure data of each dialysis stage of the patient to be tested within the suspected internal fistula obstruction period, and the blood flow data of the non-dialysis stage. The internal fistula nursing scheme is determined. The present application realizes early warning of internal fistula dysfunction based on the change of venous and arterial pressure of the blood circulation loop during dialysis.

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 application provides a non-immersed transmembrane pressure detection system, which is characterized in that: a liquid inlet detection module, a permeation end detection module, a backflow end detection module and a transmembrane pressure calculation module are arranged, a non-immersed transmembrane pressure detection circuit is arranged in each of the liquid inlet detection module, the permeation end detection module and the backflow end detection module, the corresponding transmembrane pressure calculation result is obtained by calculating the liquid inlet detection signal, the permeation end detection signal and the backflow end detection signal output by the circuit, a four-stage amplification and analog signal isolation circuit composed of a high-precision resistance voltage division network, a first-stage operational amplifier circuit, a second-stage operational amplifier circuit, a linear optical coupler, a third-stage operational amplifier circuit and a fourth-stage operational amplifier circuit is arranged in the non-immersed transmembrane pressure detection circuit, the detected current signal is converted into an electrical signal by using the operational amplification piezoelectric effect, and the piezoelectric type can provide an anti-interference signal electrical output after isolation chip. The application has good linearity, simple circuit calculation and effectively solves the problem of electrical signal isolation between an analog signal and a single-chip microcomputer application system.

The utility model provides an ultrafiltration membrane pressure detection device, which relates to the technical field of ultrafiltration membrane pressure detection, and comprises a shell, the top of the shell is provided with a top cover, the top of the top cover is connected with a drain outlet, the front surface of the shell is connected with a monitoring alarm assembly, and the monitoring alarm assembly comprises a purified water outlet. According to the utility model, the pressure sensor and the flow sensor are respectively arranged at the purified water outlet and the drain outlet, so that a real-time monitoring effect can be achieved, and when the flow or the pressure difference reaches a set numerical value, the PLC controller gives an instruction to carry out systematic backwashing, forward flushing and other maintenance actions on the membrane at the moment; and if the trans-membrane pressure difference almost does not exist, the serious problems such as membrane breakage are possibly caused, and the alarm can automatically give an alarm to remind an operator to check the fault of the membrane in time, so that the problem that the membrane cannot be normally used due to blockage is avoided.

The invention relates to the technical field of sodium chondroitin sulfate, in particular to sodium chondroitin sulfate with a high cartilage repair effect and a preparation method thereof.The sodium chondroitin sulfate initial feed liquid is provided, the pH value of the sodium chondroitin sulfate initial feed liquid is adjusted to a preset acidic pH value, and at the preset reaction temperature, the pH value and the reaction temperature are maintained for reaction time, so that the chondroitin sulfate with the high cartilage repair effect is obtained. The method comprises the following steps: adding a sulfated disaccharide unit CS-0 into a feed liquid to precipitate out a non-sulfated disaccharide unit CS-0 in the feed liquid, carrying out solid-liquid separation on the feed liquid, and removing the CS-0 precipitate to obtain a supernatant; pumping the supernatant into a gradient membrane separation system under controlled transmembrane pressure difference and feed liquid temperature, and separating the supernatant into three component flows with different molecular weight intervals; the concentration of the three component flows is monitored, the volume flow of each component flow is dynamically adjusted according to the preset molecular weight and mass distribution proportion, the chondroitin sulfate sodium product with the fixed molecular weight distribution is obtained, and the biological activity and the application value of the chondroitin sulfate sodium are improved.

The invention discloses an immersed ultrafiltration system based on a continuous flow regime, which comprises a precipitation unit and a water distribution unit, an ultrafiltration unit is arranged between the precipitation unit and the water distribution unit, and the ultrafiltration unit comprises a plurality of membrane pool structures, a water production pipeline, an aeration pipeline and a liquid medicine wastewater pipeline; according to the design of the invention, continuous water production is realized, an operation mode of replacing periodic water production and cleaning of an immersed membrane filtration system with a reflux recovery method is creatively provided, and a frequent shutdown cleaning mode does not need to be adopted; the design of the invention does not need the necessary links of cutting off water, emptying and cleaning in the general immersed filter membrane process, and innovates the mode of pursuing the ultimate recovery rate in the development of the immersed membrane system; according to the designed process, pollutant reduction is carried out by using a membrane filtration system in a low-cost manner; the invention has the advantages of low energy consumption water production, low energy consumption sewage interception reflux, low gas washing ratio, low wastewater discharge rate, low chemical gas washing frequency and the like in the control of transmembrane pressure difference.

This application relates to the field of wastewater treatment technology, specifically to a method for controlling the reuse of recycled water in wastewater treatment processes. The method includes: collecting various parameter data; calculating the transmembrane pressure difference based on pressure, fitting a straight line to obtain the rate of change of the transmembrane pressure difference; constructing a trend sequence using desalination rate, transmembrane pressure difference, and permeate flow rate, and determining the RO membrane quality coefficient based on the variance of the trend sequence, the correlation differences among the data constituting the trend sequence, and the rate of change of the transmembrane pressure difference; fitting the permeate flow rate curve, and determining the pre-RO membrane characteristic coefficient based on the difference in the permeate flow rate change rate, the mean of influent turbidity, the mean of elemental change rate, and the RO membrane quality coefficient; adjusting the membrane cleaning interval after the adjustment in the previous cycle based on the RO membrane quality coefficient and the pre-RO membrane characteristic coefficient to obtain the adjusted membrane cleaning interval for each cycle; and cleaning the RO membrane based on the adjusted membrane cleaning interval for each cycle. This application ensures the stability of water treatment quality.

The invention relates to the technical field of sewage treatment, and particularly discloses a mountainous area sewage treatment method which comprises the following steps: S1, collecting inlet water quality data, environmental data and process operation parameters of a mountainous area sewage treatment station in real time through a sensor network; s2, inputting the data acquired in the step S1 into an AI optimization control module, and outputting real-time optimization control parameters; s3, adjusting the operating frequency of an aeration fan and the rotating speed of a sludge reflux pump according to the optimized control parameters obtained in the step S2; s4, monitoring the transmembrane pressure TMP and the membrane pollution index MFI of the MBR membrane component in real time, and starting an online chemical cleaning program when the TMP exceeds a threshold value; and S5, integrating the operation data of each distributed sewage treatment station through a cloud platform monitoring system, and realizing regional collaborative optimization and fault early warning by adopting an adaptive model predictive control (AMPC) strategy.

This invention discloses a membrane bioreactor (MBR) treatment method and a field return system for wastewater from sheep slaughterhouses. After three-stage pretreatment, the wastewater undergoes two-stage anoxic-aerobic denitrification, with segmented influent and two-stage internal recirculation. A short-range nitrification window is created in the first-stage aerobic zone with low dissolved oxygen through intermittent aeration, while stable nitrification occurs in the second-stage aerobic zone. The biochemically treated effluent enters a PVDF submerged ultrafiltration (MBR), where the mixed liquor suspended solids concentration and flux are controlled. Backwashing / relaxation and chemical cleaning sequences are triggered by the increase in transmembrane pressure difference per unit time, enhancing shock and fouling resistance. MBR permeate is fed into a field return tank and connected to the field return system. Precise water and fertilizer return and salt control are achieved through rapid nitrogen and phosphorus measurement, application decision-making, and stratified drip irrigation valve control. This scheme can achieve effluent ammonia nitrogen ≤3 mg / L, high total nitrogen removal, and reduced membrane fouling and nitrogen loss.

The invention relates to the technical field of serum filtration, in particular to a digital quality monitoring system for a bovine serum filtration process based on intelligent control, which comprises a serum evaluation module for calculating a bubble risk evaluation value according to transmembrane pressure difference, actual serum flow and actual serum viscosity of serum at different moments, determining the risk state of bubbles generated by serum according to the bubble risk evaluation value, and limiting the upper limit of flow regulation or reducing the initial filtering pump speed; the lipid analysis module is used for determining the turbidity change according to the actual serum turbidity and the initial background turbidity, determining whether the serum is in the initial stage of lipid aggregation or not according to the turbidity change and the particle size distribution peak value, correspondingly regulating and controlling the serum temperature and determining the adjusted initial filtering pump speed according to the correction results of the control regulation module and the detection correction module. According to the invention, the accuracy of serum filtration and quality monitoring is improved by performing bubble risk assessment and viscosity feedback control on the bovine serum filtration process.

This invention discloses a dual-inspection device and method for single membranes in a water treatment membrane module, relating to the field of water treatment technology. Each single membrane is equipped with an outlet solenoid valve. The main control box controls the opening and closing of the outlet solenoid valve to perform individual inspections and a binary inspection of the membrane module. The main control box identifies damaged single membranes based on the outlet turbidity value measured by a turbidity detector; it also identifies fouled single membranes based on the transmembrane pressure difference value measured by a pressure sensor, cleans the fouled single membranes, while normal membranes continue to produce water. Through individual inspection and binary inspection methods, as well as targeted membrane fouling cleaning, rapid inspection of membrane integrity and filtration performance can be achieved, and damaged and fouled membranes can be located. Then, corresponding measures such as targeted membrane fouling control can be taken, avoiding the occurrence of downtime for the entire membrane module due to problems with individual membranes. This greatly improves the water treatment efficiency of the membrane module and significantly reduces the energy consumption of the equipment.

The disclosure relates to an extracorporeal blood treatment machine comprising a dialyzer (19) having hollow fibers (2) and a blood side (4) and a dialyzing fluid side (6), an extracorporeal blood circuit, and a dialyzing fluid circuit. The extracorporeal blood treatment machine has a control unit (48) which is configured and prepared to perform automatic priming of the blood treatment machine such that it sets a transmembrane pressure (10) with a pressure gradient from the dialyzing fluid side (6) to the blood side (4) and / or from the blood side (4) to the dialyzing fluid side (6) in order to remove air from the semipermeable membrane (8) during priming. The disclosure further relates to a method for priming a dialyzer (19) having hollow fibers (2) and to a computer program.

This invention relates to the field of ethylene glycol preparation, specifically to a method for the direct production of ethylene glycol from ethylene. The method includes: reacting ethylene with hydrogen peroxide in the presence of an oxidative hydration bifunctional catalyst to obtain a material containing ethylene glycol, and collecting the product after separation via a metal-ceramic composite membrane. Using this method, ethylene glycol can be produced in a one-step process. The reaction exhibits high hydrogen peroxide utilization, ethylene conversion rate, and ethylene glycol selectivity, along with high catalyst activity and stability. During separation, the transmembrane pressure difference is small, allowing the separation system to operate continuously for extended periods. The resulting product liquid has a low catalyst concentration.

The invention discloses a membrane filtration device for in-situ purification of a water body, belongs to the field of water treatment, and particularly relates to deep purification of natural water bodies and removal of pollutants. The device comprises a hull shell unit, a membrane filtration unit and a visual membrane self-cleaning unit, the hull shell unit is composed of a basin-shaped outer wall, a waterproof floor, a water inlet hole and a remotely controllable on-hook motor, and the membrane filtration unit comprises a nanofiber spiral-wound membrane, a flexible water outlet pipe, a water production pump and a pressure / water quality monitoring sensor. The visual film self-cleaning unit comprises a rotary brush, a rotary brush connecting rod and a liftable central shaft, and the visual film self-cleaning unit comprises a film surface imaging recognition system, a data analysis computer and a PLC automatic control device. According to the device, the in-situ purification of a water body is realized through intelligent separation of the basalt nanofiber spiral-wound membrane, and the membrane flux, the transmembrane pressure difference, the turbidity and the microscopic characteristics of the membrane surface are comprehensively analyzed and unmanned cleaning is carried out through the pressure / water quality monitoring sensor, the membrane surface imaging recognition system and the visual membrane self-cleaning unit; the membrane filtration efficiency is improved, and the membrane cleaning frequency is reduced. The method can be used for deep purification of water bodies such as lakes and reservoirs.

The application provides an industrial cleaning waste liquid recycling purification and reuse method and device, which comprises the following steps: introducing the industrial cleaning waste liquid and inorganic flocculants into a tubular ceramic membrane assembly to separate primary permeate and recycling liquid; applying low pressure pulse to the recycling liquid to reduce the transmembrane pressure difference from the highest working pressure to a positive low pressure area, using the elastic recovery force of the dynamic floc layer to make the floc volume expand and crack to form a defibrillation state liquid; driving the defibrillation state liquid to flow through a static spiral flow guide element to form a stripped membrane surface and stripping liquid; under the action of steady-state cross-flow shear, supplementing the floc to the stripped membrane surface to maintain the thickness of the dynamic floc layer, transporting the stripping liquid forward with the main flow, separating secondary permeate and final concentrated liquid; performing multi-stage series filtration on the primary permeate and the secondary permeate to obtain purified and reused water, and discharging the final concentrated liquid as waste concentrated liquid. The application improves the purification and reuse stability of the industrial cleaning waste liquid and the water purification quality.

This invention relates to the field of water treatment equipment condition monitoring technology, and in particular to a full life-cycle operation and maintenance system for membrane separation water treatment equipment. The system acquires influent environmental data to generate scene labels and configures tolerance coefficients. A baseline array is constructed based on the scene labels and the initial transmembrane pressure difference. Real-time operating data is matched to determine the target scene label. The difference between the real-time pressure difference and the initial pressure difference is calculated to output deviation characteristics. When a threshold is exceeded, a cleaning command is issued, and an attenuation index is calculated based on the pressure difference after cleaning to update the baseline array. The permeate flux within adjacent cleaning intervals is accumulated to generate a periodic load. The attenuation index is normalized using the periodic load and tolerance coefficient to output the aging equivalent. Each aging equivalent is accumulated over time to generate a cumulative attenuation value. When the cumulative attenuation value exceeds a preset critical value, an equipment replacement command is triggered. This improves the long-term accuracy of membrane module condition monitoring and effectively prevents equipment from exceeding its service life.