121 results about "Transmembrane pressure" 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 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 membrane control, and discloses a membrane control method and system based on multi-parameter intelligent perception, and the method comprises the steps: obtaining multi-parameter operation data of a membrane separation system, and calculating a transmembrane pressure difference change value, an inlet and outlet water quality change rate and membrane operation load duration according to the operation data; based on the transmembrane pressure difference change value, the inlet and outlet water quality change rate and the membrane operation load duration, a pollution trend early warning model based on an improved long and short term memory network is constructed and analyzed, and a first prediction result is obtained; and performing dynamic pollution risk score calculation based on the first prediction result to obtain a pollution risk comprehensive assessment value. Linkage analysis of the pollution development trend and the system risk level is achieved, the potential pollution risk level can be recognized in advance, cleaning intervention suggestions or alarm strategies are output in a graded mode, and the initiative and timeliness of cleaning decision making are effectively improved.

The invention relates to the technical field of water resource purification, in particular to a control method and equipment of a reverse osmosis water purification system.The control method comprises the steps that firstly, on the fluctuation dimension of the pre-membrane pressure, the adjusting requirement of the frequency of a high-pressure pump is preliminarily determined on the dimension of the pre-membrane pressure according to an obtained pressure fluctuation index; determining a membrane resistance increase factor representing the pollution state of the reverse osmosis membrane on the basis of the transmembrane pressure difference on the dimension of separation function failure of the reverse osmosis membrane; finally, a membrane separation abnormal value is comprehensively represented by combining a pressure fluctuation index and a membrane resistance increase factor, and a purified water recovery rate is introduced to a membrane separation result end, so that the finally obtained frequency reduction demand degree is more accurate, and the control effect of the reverse osmosis water purification system is improved; therefore, the stable, efficient and sustainable operation of the reverse osmosis water purification system can be ensured while the membrane surface pollutant deposition driving force can be effectively reduced and the membrane pollution speed can be slowed down.

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 a method and system for dynamically adjusting displacement liquid flow and a hemodiafiltration device.The method comprises the following steps that the initial pre-displacement liquid flow and the initial post-displacement liquid flow are determined, transmembrane pressure is monitored in real time, and a control system controls the displacement liquid flow to be dynamically adjusted according to the degree that the transmembrane pressure deviates from a target range. The self-adaptive adjustment step length of the displacement liquid flow is calculated through a feedback control algorithm, the front displacement liquid flow and the rear displacement liquid flow are dynamically adjusted according to the self-adaptive adjustment step length, and dynamic and fine adjustment of the front displacement liquid flow and the rear displacement liquid flow is achieved. The TMP is stably controlled within a safe range by dynamically adjusting the front and rear displacement liquid flows and utilizing a dynamic step length adjusting mechanism, so that the excessive concentration of blood in the dialyzer is effectively reduced, the blood coagulation risk of the dialyzer is reduced, and the service life of the dialyzer is prolonged.

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.

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.

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.

The invention provides an online concentration system, a control method and a chromatographic system matched with the online concentration system. The online concentration system comprises a first input pipeline and a second input pipeline, a first feeding pump and a second feeding pump are respectively arranged on the first input pipeline and the second input pipeline, the output ends of the first input pipeline and the second input pipeline are connected with the inlet end of a tangential flow filter through pipelines, and the intercepting end of the tangential flow filter is connected with a first output pipeline; a first discharging pump is arranged on the first output pipeline; a circulating pipeline is arranged between the inlet end and the intercepting end of the tangential flow filter, and a reflux pump is arranged on the circulating pipeline; the permeation end of the tangential flow filter is connected with a permeate pipeline and a chromatographic system matched with the chromatographic column for use. The device has the advantages that the tangential flow can be increased, the transmembrane pressure is not increased, and the yield is improved.