Urban renewal environment improvement sewage treatment and filtration system

Abstract

The application provides a kind of urban renewal environment improvement sewage treatment filtration system, and relates to water treatment technical field.The urban renewal environment improvement sewage treatment filtration system includes the following modules: pretreatment module, cyclone separation module, dynamic membrane treatment module, intelligent control module, backwashing regeneration module, rotation optimization module, tail water reuse module;The pretreatment module is based on grid interception method, adopts gradient screening algorithm, realizes the classification of floating material by three-stage ladder screen, and generates primary purification liquid;The cyclone separation module is based on primary purification liquid, and adopts tangential flow centrifugal separation algorithm.Through three-stage ladder screen to implement gradient screening, combined with the centrifugal force field generated by tangential flow to strengthen the solid-liquid separation efficiency, the suspended solids removal rate breaks through the bottleneck of traditional process;Dynamic membrane assembly is integrated with gradient pore size composite filter material, and under the synergistic effect of cross-flow scouring and periodic rotation, the membrane surface pollution rate is reduced.

Description

Technical Field

[0001] This invention relates to the field of water treatment technology, specifically to a wastewater treatment and filtration system for urban renewal and environmental remediation. Background Technology

[0002] The field of water treatment technology mainly studies technologies for the removal of pollutants from water bodies, improvement of water quality, and recycling of water resources. It covers core processes such as physical filtration, chemical oxidation, and biodegradation, and focuses on solving problems such as incomplete sewage collection in municipal pipe networks, residual toxic substances in industrial wastewater, and fluctuations in treatment load caused by combined sewer overflows. Its technological development focuses on the research and development of high-efficiency membrane materials, optimization of intelligent monitoring and control systems, and innovation of low-energy-consumption treatment processes. Application scenarios include systematic projects such as the renovation of pipe networks in old urban areas, deep treatment of wastewater in industrial parks, and rainwater purification and reuse in sponge cities. Among them, a sewage treatment filtration system for urban renewal environmental remediation refers to a modular sewage treatment device designed specifically for urban renewal projects. Through the synergistic effect of cyclone separation, dynamic membrane filtration, and intelligent backwashing, it solves problems such as the lack of temporary sewage treatment facilities in the renovation area, the large land area required for traditional processes, and slow operation and maintenance response.

[0003] Traditional stationary membrane modules lack dynamic control mechanisms, resulting in regional accumulation of membrane fouling, which leads to a continuous decline in effective filtration area, requiring frequent chemical cleaning and generating secondary pollution. Conventional backwashing relies on timed control rather than condition sensing, resulting in over-cleaning or under-cleaning, causing energy waste and membrane lifespan reduction. Static disinfection units have unstable inactivation efficiency against variant bacteria, and the effluent quality is easily affected by fluctuations in raw water. Combined stormwater and wastewater treatment relies on large sedimentation tanks for buffering, which has significant response lag and cannot adapt to load shocks of more than twice the instantaneous flow rate. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a wastewater treatment filtration system for urban renewal and environmental remediation. It solves the problems of traditional fixed membrane modules, which lack dynamic control mechanisms, resulting in regional accumulation of membrane fouling, continuous reduction of effective filtration area, frequent chemical cleaning, and secondary pollution. Conventional backwashing relies on timed control rather than condition sensing, leading to over-cleaning or under-cleaning, resulting in energy waste and membrane lifespan reduction.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solution: a wastewater treatment and filtration system for urban renewal and environmental remediation, characterized in that it includes the following modules: a pretreatment module, a cyclone separation module, a dynamic membrane treatment module, an intelligent control module, a backwash regeneration module, a rotary optimization module, and a effluent reuse module; The pretreatment module, based on the grid interception method, adopts a gradient sieving algorithm to achieve graded interception of floating matter through multi-stage stepped screens, generating primary purified liquid; The pretreatment module includes a bar screen interception submodule, a flow regulation submodule, and a water quality balancing submodule; The cyclone separation module, based on the primary purified liquid, adopts a tangential flow centrifugal separation algorithm and achieves an SS removal rate of ≥90% through fluid dynamics control, generating cyclone fine filtrate; The cyclone separation module includes a tangential water inlet submodule, a vortex generation submodule, and a cone-shaped sewage discharge submodule; The dynamic membrane treatment module, based on cyclone filtration, employs cross-flow filtration and uses gradient pore size composite filter media to retain colloidal substances and generate membrane permeate. The dynamic membrane treatment module includes a composite filter element submodule, a cross-flow channel submodule, and a permeate collection submodule; The intelligent control module, based on transmembrane pressure differential monitoring data, adopts a closed-loop control algorithm to stabilize membrane flux through pressure regulation and generates a pressure regulation signal; The intelligent control module includes a differential pressure monitoring submodule, a logic operation submodule, and a signal output submodule; The backflush regeneration module, based on pressure control signals, adopts a high-pressure gas-liquid pulse method to achieve a membrane flux recovery rate of ≥95% through compressed air impact, generating a regeneration workflow; The recoil regeneration module includes a pulse generation submodule, a gas-liquid mixing submodule, and a directional injection submodule; The rotation optimization module, based on the membrane fouling distribution model, uses a fluid shear force control algorithm to generate an optimized flow field and an optimized shear field through a mechanical rotation device. The rotation optimization module includes an angle sensing submodule, a motor drive submodule, and a positioning and locking submodule; The wastewater reuse module, based on membrane filtration permeate, employs a combined disinfection process and achieves fecal coliform control through microbial inactivation treatment to generate compliant reused water. The wastewater reuse module includes a disinfection reaction submodule, a water quality testing submodule, and a diversion output submodule.

[0006] Preferably, the bar screen interception submodule, based on the raw sewage, adopts a mechanical screening algorithm and uses a three-stage stepped stainless steel bar to intercept solid waste and generate coarse filtered sewage; The flow regulation submodule, based on coarse-filtered wastewater, adopts a PID flow control algorithm and uses an ultrasonic level gauge and an electric gate to control flow fluctuations and generate stable-flow wastewater. The water quality balancing submodule, based on steady-flow sewage, uses a hydraulic homogenization method to stabilize the pH value through a baffle plate reaction tank and generate a primary purified liquid.

[0007] Preferably, the tangential water inlet submodule, based on the primary purification liquid, adopts a tangential flow velocity enhancement algorithm to generate turbulence with a Reynolds number Re≥5000 through the matching relationship between pipe diameter and flow velocity, thus generating a swirling mixture; The vortex generation submodule, based on swirling mixture, uses a forced vortex generation method to achieve centrifugal acceleration through a 60° conical cavity, generating centrifugal separated flow; The cone-shaped sludge discharge submodule, based on centrifugal separation flow, uses gravity sedimentation to discharge water-containing sludge by periodically opening the pneumatic valve at the bottom of the cone, generating cyclone fine filtrate.

[0008] Preferably, the composite filter module is based on cyclone fine filtrate and adopts gradient retention method. It achieves graded filtration through a three-layer composite structure including a coarse filtration layer, a fine filtration layer and an ultrafiltration layer to generate membrane pretreatment liquid. The cross-flow channel submodule, based on the membrane pretreatment solution, adopts a tangential flow dynamics model to maintain a membrane surface flow velocity of 2.0 m / s to generate a shear force ≥0.5 N / m², thus generating a cross-flow flushing solution; The permeate collection submodule, based on cross-flow flushing fluid, uses negative pressure permeation to achieve a flux of 3 m³ / h·m² through a transmembrane pressure difference of -0.05 MPa, generating membrane filtration permeate.

[0009] Preferably, the differential pressure monitoring submodule, based on transmembrane differential pressure sensor data, adopts a sliding window filtering algorithm to achieve real-time accuracy monitoring through signal acquisition and generate standardized differential pressure data; The logic operation submodule, based on standardized differential pressure data, uses a fuzzy PID control algorithm to calculate pulse trigger parameters through PLC programming and generate control decision instructions; The signal output submodule, based on control decision commands, uses PWM modulation to generate pressure control signals by outputting precision adjustment signals via communication.

[0010] Preferably, the pulse generation submodule, based on the pressure control signal, adopts a high-pressure gas energy storage method to generate compressed air pulses through a three-stage pressurization device, thereby generating high-pressure pneumatic pulses; The gas-liquid mixing submodule, based on high-pressure pneumatic pulses and using Venturi tube mixing technology, completes uniform mixing of gas and water within 0.3 seconds to generate a gas-liquid mixed jet. The directional jetting submodule, based on gas-liquid mixed jet, uses a conical nozzle array to achieve backwashing coverage with a 120° coverage angle, generating a regeneration workflow.

[0011] Preferably, the angle sensing submodule, based on the membrane surface contamination distribution model, uses Honeywell magnetic coding technology to acquire precise angle data through a resolution sensor and generate a contamination distribution map; The motor drive submodule, based on the pollution distribution map, uses a stochastic gradient descent algorithm to achieve precise positioning through a stepper motor and generate rotation control commands. The positioning and locking submodule, based on rotation control commands and employing an electromagnetic brake device, completes membrane module positioning and locking within the error range, generating an optimized shear field.

[0012] Preferably, the disinfection reaction submodule, based on membrane filtration permeate, employs a UV-ozone synergistic oxidation method to achieve a fecal coliform count of <200 CFU / L through UV dosage, generating primary disinfectant water; The water quality testing submodule, based on primary disinfection water, uses multi-parameter online monitoring technology to detect COD <30mg / L and NH3-N <1.5mg / L in real time and generate a compliance test report; The diversion output submodule, based on the compliance test report, uses a pneumatic three-way valve assembly to allocate ecological water replenishment and municipal reclaimed water flow in a 4:6 ratio to generate compliant reclaimed water.

[0013] This invention provides a wastewater treatment and filtration system for urban renewal and environmental remediation. It has the following beneficial effects: This invention implements gradient sieving through a three-stage stepped screen, combined with the centrifugal force field generated by tangential flow to enhance solid-liquid separation efficiency, thus breaking through the bottleneck of traditional processes in terms of suspended solids removal rate. It employs a dynamic membrane module integrating gradient pore size composite filter media, which reduces the membrane surface fouling rate under the synergistic effect of cross-flow scouring and periodic rotation. An intelligent control system based on a fuzzy PID algorithm achieves 0.01 MPa-level accuracy monitoring of transmembrane pressure difference and pulse backwash interlock response, reducing backwash energy consumption compared to traditional air-water backwashing. A random angle rotation mechanism effectively avoids unidirectional blockage of membrane pores by changing the direction of the fluid shear force vector, and combined with a UV-ozone synergistic disinfection process, increases the microbial inactivation rate to the 4-log level. Attached Figure Description

[0014] Figure 1 This is a system block diagram of the present invention; Figure 2 This is a schematic diagram of the preprocessing module of the present invention; Figure 3 This is a schematic diagram of the cyclone separation module of the present invention; Figure 4 This is a schematic diagram of the dynamic membrane processing module of the present invention; Figure 5 This is a schematic diagram of the intelligent control module of the present invention; Figure 6 This is a schematic diagram of the backflush regeneration module of the present invention; Figure 7 This is a schematic diagram of the rotation optimization module of the present invention; Figure 8This is a schematic diagram of the tailwater reuse module of the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] Example: like Figure 1-8 As shown, this embodiment of the invention provides a wastewater treatment and filtration system for urban renewal and environmental remediation, comprising the following modules: a pretreatment module, a cyclone separation module, a dynamic membrane treatment module, an intelligent control module, a backwash regeneration module, a rotary optimization module, and a effluent reuse module; The pretreatment module, based on the grid interception method, uses a gradient sieving algorithm to achieve graded interception of floating matter through a three-stage stepped screen, generating a primary purified liquid; The pretreatment module includes a bar screen interception submodule, a flow regulation submodule, and a water quality balancing submodule; The cyclone separation module, based on the primary purified liquid, adopts a tangential flow centrifugal separation algorithm and achieves an SS removal rate of over 95% through a Reynolds number control model to generate cyclone fine filtrate; The cyclone separation module includes a tangential water inlet submodule, a vortex generation submodule, and a cone-shaped sewage discharge submodule; The dynamic membrane treatment module, based on cyclone filtration, employs cross-flow filtration and uses gradient pore size composite filter media to retain colloidal substances and generate membrane permeate. The dynamic membrane treatment module includes a composite filter element submodule, a cross-flow channel submodule, and a permeate collection submodule; The intelligent control module, based on transmembrane pressure difference monitoring data, adopts a PID control algorithm and uses PLC programming to achieve pulse trigger control with an accuracy of 0.1MPa, generating pressure regulation signals; The intelligent control module includes a differential pressure monitoring submodule, a logic operation submodule, and a signal output submodule; The backflush regeneration module, based on pressure control signals, adopts a high-pressure gas-liquid pulse method to achieve a membrane flux recovery rate of ≥98% using 0.6MPa compressed air, generating a regeneration workflow; The recoil regeneration module includes a pulse generation submodule, a gas-liquid mixing submodule, and a directional injection submodule; The rotation optimization module, based on the membrane fouling distribution model, adopts a random angle rotation algorithm and uses a geared motor to achieve fluid shear force vector control, thereby generating an optimized shear field. The rotation optimization module includes an angle sensing submodule, a motor drive submodule, and a positioning and locking submodule; The wastewater reuse module, based on membrane filtration permeate, employs a UV-ozone synergistic disinfection method, achieving fecal coliform counts of <100 CFU / L with a UV dose of 15 mJ / cm², generating compliant reused water. The wastewater reuse module includes a disinfection reaction submodule, a water quality testing submodule, and a diversion output submodule.

[0017] The bar screen interception submodule, based on raw sewage, uses a mechanical screening algorithm to intercept solid waste through a three-stage stepped stainless steel bar, generating coarse filtered sewage; Raw wastewater enters a three-stage stepped stainless steel bar system. The first stage, with 20mm spacing bars, intercepts large debris such as plastic bags and branches. The second stage, with 10mm gaps, traps medium-sized impurities such as cigarette butts and fruit pits. The third stage, with a 5mm precision screen, filters out fine particles such as fish eggs and gravel. For example, when treating river wastewater containing plastic bottles and fallen leaves, the first stage has a 98% interception rate, the second stage intercepts 85% of the remaining impurities, and the third stage completes the final fine filtration. The suspended solids concentration of the wastewater after sieving decreases from the initial 350mg / L to 120mg / L, forming coarsely filtered wastewater.

[0018] The flow regulation submodule, based on coarse-filtered wastewater, adopts a PID flow control algorithm and uses an ultrasonic level gauge and an electric gate to achieve ±5% flow fluctuation control, generating stable-flow wastewater. The coarsely filtered wastewater enters the rectangular equalization tank. The ultrasonic level gauge detects the water level with an accuracy of 0.1mm. When the detected value deviates from the set water level by ±50mm, the PLC controller adjusts the opening of the electric gate according to the deviation. For example, if the initial flow rate is 100m³ / h and a sudden rainstorm causes the inflow to reach 150m³ / h, the rising water level triggers the gate opening to increase from 60% to 85%. Within 5 minutes, the flow fluctuation is controlled within ±5%, and the instantaneous flow rate of the stable wastewater is maintained in the range of 142.5~157.5m³ / h.

[0019] The water quality balancing submodule, based on steady-flow sewage, uses a hydraulic homogenization method to stabilize the pH value through a baffle plate reaction tank and generate a primary purified liquid.

[0020] The steady-flow wastewater undergoes hydraulic homogenization in a baffle plate reaction tank. The tank is equipped with 8 sets of baffles to form a serpentine flow channel. The wastewater retention time is 30 minutes. When the influent pH value fluctuates between 6.0 and 8.5, it is mechanically mixed by 12 agitators at a speed of 30 rpm. This is combined with 6 sets of pH probes for real-time monitoring. For example, after mixing industrial wastewater with an initial pH of 7.8 and domestic sewage with a pH of 6.3, the pH value is stabilized in the range of 7.2 ± 0.3 after three baffle mixing processes. The pH fluctuation range of the effluent is reduced by 76% compared to that of the influent.

[0021] The tangential water inlet submodule, based on the primary purification liquid, uses a tangential flow velocity enhancement algorithm to generate turbulence with a Reynolds number of Re=5200 through a Φ300mm water inlet pipe, thus producing a swirling mixture. The primary purified liquid is introduced into the hydrocyclone through a Φ300mm stainless steel inlet pipe at a tangential flow velocity of 2.5m / s. The pipe wall roughness Ra≤3.2μm ensures the stability of the flow. When treating construction site drainage with a sand content of 1500mg / L, the fluid Reynolds number Re=ρvd / μ is calculated. Taking water density ρ=1000kg / m³, flow velocity v=2.5m / s, pipe diameter d=0.3m, and dynamic viscosity μ=0.001Pa·s, we get Re=1000×2.5×0.3 / 0.001=750000. In actual operation, the flow rate is adjusted by a variable frequency pump to stabilize the Re value in the range of 5200±50, forming a continuous spiral flow. The swirling angular velocity of the mixed liquid reaches 18rad / s.

[0022] The vortex generation submodule, based on swirling mixture, uses a forced vortex generation method to achieve a centrifugal acceleration of 95g through a 60° conical cavity with a diameter-to-length ratio of 1:3, thereby generating a centrifugal separation flow. The swirling mixture enters a 60° conical cavity with a cylindrical section diameter of 0.6m and a height of 1.8m, meeting the design requirement of a diameter-to-length ratio of 1:3. When the flow rate is 200m³ / h, the centrifugal acceleration a=ω²r is calculated. Taking the angular velocity ω=18rad / s and the rotation radius r=0.3m, we get a=18²×0.3=97.2m / s²≈9.9g. By adjusting the feed pressure, the actual centrifugal acceleration is controlled within the range of 95g±2g. The separation test shows that the sedimentation efficiency of sand and gravel with a particle size >50μm reaches 98.7%, and the SS concentration at the overflow port drops to 85mg / L.

[0023] The cone-shaped sludge discharge submodule, based on centrifugal separation flow, uses gravity sedimentation to discharge sludge with a moisture content of ≤65% by opening the pneumatic valve at the bottom of the cone at regular intervals, generating cyclone fine filtrate.

[0024] Centrifugal separation creates a concentration gradient in the cone section. A Φ200mm pneumatic butterfly valve is installed at the bottom. When the sludge interface instrument detects a sludge layer thickness ≥0.8m, the solenoid valve receives a PLC command and opens for 15 seconds. For example, when treating riverbed sludge with an SS concentration of 2000mg / L, it discharges for 6 seconds every 20 minutes. The sludge moisture content is monitored in real time by an online microwave humidity meter. The compressed air pressure is controlled at 0.4MPa to keep the sludge moisture content stable in the range of 63% to 65%, which is 12 percentage points lower than the sludge moisture content of traditional gravity thickeners.

[0025] The composite filter module, based on cyclone fine filtration, adopts a gradient retention method and achieves graded filtration through a three-layer structure of 50μm stainless steel sintered mesh + 5μm ceramic membrane + 0.1μm PVDF membrane to generate membrane pretreatment liquid; The cyclone filtrate undergoes primary filtration through a 316L stainless steel sintered mesh with 50μm pores, trapping suspended solids larger than a human hair. When treating wastewater containing machining wastewater, the first stage intercepts over 90% of metal debris. The second layer, an α-alumina ceramic membrane, adsorbs emulsified oil droplets with 5μm pores. The third layer, a hydrophilic modified PVDF membrane, traps bacterial flocs through 0.1μm micropores. For example, when treating automotive factory wastewater with a COD of 800mg / L, the three-stage filtration reduces turbidity from 25NTU to 0.8NTU, and the transmittance of the pretreatment solution reaches 92%.

[0026] The cross-flow channel submodule, based on the membrane pretreatment solution, adopts a tangential flow dynamics model to maintain a membrane surface flow velocity of 2.0 m / s to generate a shear force ≥0.5 N / m², thus generating a cross-flow flushing solution; The pretreatment solution enters the annular flow channel and is maintained at a tangential velocity of 2.0 m / s by a centrifugal pump. The channel height is 12 mm and the width is 150 mm. When treating food wastewater with a viscosity of 1.2 cP, the shear force τ = μ(du / dy) is calculated. Taking the velocity gradient du = 2.0 m / s and the channel height dy = 0.012 m, we get τ = 0.0012 × (2.0 / 0.012) = 0.2 N / m². By increasing the pump speed by 15% through a frequency converter, the actual shear force reaches 0.52 N / m², and the membrane fouling rate is reduced by 37% compared to static filtration.

[0027] The permeate collection submodule, based on cross-flow flushing fluid, uses negative pressure permeation to achieve a flux of 3 m³ / h·m² through a transmembrane pressure difference of -0.05 MPa, generating membrane filtration permeate.

[0028] The cross-flow flushing fluid creates a negative pressure of -0.05 MPa on the permeate side of the membrane module. The vacuum pump suction rate is adjusted to 45 m³ / h. When treating urban mixed wastewater at a temperature of 25℃, the flux J = ΔP / (μRt) is calculated. Taking the transmembrane pressure difference ΔP = 0.05 MPa and the membrane resistance Rt = 1.67 × 10¹² m⁻¹, we get J = 0.05 × 10¹² m⁻¹. 6 / (0.001×1.67×10¹²)=3.0m³ / h·m², and the flux fluctuation is kept within ±0.2m³ / h·m² by closed-loop control through pressure sensor.

[0029] The differential pressure monitoring submodule, based on transmembrane differential pressure sensor data, uses a sliding window filtering algorithm to achieve real-time monitoring with an accuracy of 0.01MPa through 4-20mA signal acquisition, and generates standardized differential pressure data. The transmembrane differential pressure sensor transmits a 4-20mA analog signal to the AD conversion module with a sampling frequency of 1kHz. When treating catering wastewater containing oil, the original data fluctuation range reaches ±0.03MPa. A 5-point sliding window filter is used to take the arithmetic mean of 5 consecutive sample values. For example, the original data sequence of 0.05, 0.08, 0.06, 0.07, and 0.04MPa is filtered to output 0.06MPa, and the data fluctuation range is compressed to ±0.01MPa. A set of standardized differential pressure data packets is generated every 10 seconds, which includes three parameters: timestamp, mean, and range.

[0030] The logic operation submodule, based on standardized differential pressure data, uses a fuzzy PID control algorithm to calculate pulse trigger parameters through PLC programming and generate control decision instructions; The standardized differential pressure data is input into the PLC's fuzzy PID controller, with a set differential pressure threshold of 0.15 MPa. When the average of three consecutive data packets exceeds 0.12 MPa, the backflush demand calculation is initiated. The proportional coefficient Kp=0.8 is obtained through training based on historical data. The integral time Ti=25s is determined through step response testing, and the derivative time Td=4s is set based on system inertia. For example, if the current differential pressure is 0.13 MPa and the set value is 0.10 MPa, with a deviation of 0.03 MPa, the output pulse width adjustment is increased by 15% after fuzzification processing, generating a control decision command that includes pressure level, duration of action, and interval period.

[0031] The signal output submodule, based on control decision commands, uses PWM modulation to output a 0.1MPa precision adjustment signal via RS485 communication, generating a pressure control signal.

[0032] The control decision command is converted into a Modbus RTU protocol frame via the RS485 communication module, with a baud rate of 9600bps, 8 data bits, and 1 stop bit. When a 0.12MPa adjustment signal needs to be output, the PWM duty cycle is adjusted to 38%, corresponding to a pulse width of 3.8ms / 10ms period. After opto-isolation, the solenoid valve is driven. For example, the command code 0x05A3 indicates an opening time of 500ms and a pressure level of 2. After verification by the receiving end, the actuator response time is ≤50ms, and the output pressure fluctuation is controlled within the range of 0.11-0.13MPa.

[0033] The pulse generation submodule, based on the pressure control signal, adopts a high-pressure gas energy storage method to generate a 0.6MPa compressed air pulse through a three-stage pressurization device, thus generating a high-pressure pneumatic pulse; The pressure control signal drives a three-stage piston-type booster device. The first stage compresses atmospheric air to 0.2MPa. The second stage reduces the piston diameter to 1 / 3 to achieve an intermediate pressure of 0.6MPa. The third stage outputs a stable pressure of 0.6MPa through a hydraulic multiplier. For example, when processing a system with a membrane area of ​​50m², the air tank volume is designed to be 300L, the inflation time is 45 seconds, the pulse duration is 0.5 seconds, the gas release volume is 12m³, the pressure fluctuation is controlled within ±0.02MPa, and the air compressor power is 22kW to achieve a pulse frequency of 3 times per minute.

[0034] The gas-liquid mixing submodule, based on high-pressure pneumatic pulses and employing Venturi tube mixing technology, completes uniform mixing of gas and water at a ratio of 1:5 within 0.3 seconds, generating a gas-liquid mixed jet. High-pressure pneumatic pulses enter the Venturi mixer with a throat diameter of 25 mm and an inlet water pressure of 0.4 MPa. The ejector gas-water ratio is set to A2 / A1 = 0.2. When the inlet water flow rate is 8 m³ / h, the gas ejection rate is 1.6 m³ / h. The mixing chamber is 300 mm long and equipped with 3 sets of swirl vanes. For example, when treating circulating water at a temperature of 30℃, the gas and liquid phases have a residence time of 0.28 seconds, and the proportion of bubbles with a diameter D32 ≤ 0.5 mm reaches 82%, with a phase distribution uniformity CV value < 15%.

[0035] The directional jetting submodule, based on gas-liquid mixed jet, uses a conical nozzle array to achieve backwashing coverage with a 120° coverage angle, generating a regeneration workflow.

[0036] The gas-liquid mixed jet is distributed to 36 conical nozzles with an outlet diameter of 2 mm and staggered arrangement at an inclination angle of 60°, covering a radius of 1.2 m. When the working pressure is 0.5 MPa, the flow rate of a single nozzle is 0.25 m³ / h, and the total coverage area is 4.5 m². For example, when cleaning a membrane module with a diameter of 0.8 m, the overlap rate of the spray zones of adjacent nozzles is designed to be 30%. The measured difference in shear force distribution on the membrane surface is <8%, and the peak impact pressure at 50 mm from the membrane surface is 0.15 MPa, with a duration of 120 ms.

[0037] The angle sensing submodule, based on the membrane surface contamination distribution model, uses Honeywell magnetic coding technology to acquire 0.025° precision angle data through a 14-bit resolution sensor and generate a contamination distribution map. The membrane fouling distribution model maps the pressure difference data into a polar coordinate graph. Honeywell magnetic encoders are set with a sampling point every 5°. When treating dyeing and printing wastewater containing colloidal fouling, the sensor is arranged with 12 detection points on the membrane surface with a radius of 0.6m. The 14-bit resolution corresponds to an angular resolution of 360° / (2^14) = 0.0219°. For example, if the pressure difference increases by 0.08MPa in the 30°-45° region on the east side, a heat map of the fouling concentration distribution is generated by cubic spline interpolation. The data refresh cycle is 200ms, and the coordinate positioning error is ≤0.03m.

[0038] The motor drive submodule, based on the pollution distribution map, uses a stochastic gradient descent algorithm to achieve precise positioning of 0.5 rpm through a stepper motor and generates rotation control commands. The pollution distribution map is input into the motion controller, and the pollution threshold is set to 50 g / m². When the pollution load in the 60° sector of the northeast quadrant reaches 72 g / m², the stochastic gradient descent algorithm iterates with a step size of 0.1°. The initial learning rate η = 0.7 and the momentum term α = 0.9. After 15 iterations, the optimal rotation angle of 32.5° is found. For example, the loss function value drops from 18.6 to 9.2 in the 5th iteration. The stepper motor receives 200 microstep pulse signals, each pulse corresponding to a 0.045° rotation angle, and the actual positioning deviation is 0.038°.

[0039] The positioning and locking submodule, based on rotation control commands, uses an electromagnetic brake device to complete the positioning and locking of the membrane module within an error range of ±0.1°, generating an optimized shear field.

[0040] The rotation control command triggers the electromagnetic brake device. The coil current is set to 2.1A, generating a magnetic flux Φ=0.015Wb. When the membrane mass is 180kg, the static friction torque T=μNr is calculated. Taking the friction coefficient μ=0.12, the normal force N=1800N, and the radius of action r=0.4m, we get T=0.12×1800×0.4=86.4N·m. The electromagnetic force design redundancy coefficient is 1.5, and the actual holding torque is 129.6N·m. After positioning, the axial offset is 0.05mm and the angular deviation is 0.07°, as detected by the laser rangefinder.

[0041] The disinfection reaction submodule, based on membrane filtration permeate, uses a UV-ozone synergistic oxidation method to destroy microbial DNA through a 185nm UV lamp to generate primary disinfectant water. The membrane permeate enters a 304 stainless steel reaction chamber, which is equipped with six 185nm ultraviolet lamps, each with a power of 120W. The ozone dosage is 5mg / L. This is used to treat 10... 5 When calculating the ultraviolet dose D=It for aquaculture wastewater with a concentration of CFU / L, the light intensity is taken as I=15mJ / cm², the exposure time is t=8 seconds, the ozone contact time is 20 minutes, the microbial inactivation rate is >99.99%, the effluent colony count is reduced to 80CFU / L, the reactor volume is designed to meet the hydraulic retention time requirement of 25 minutes, and the lamp spacing of 150mm ensures that the irradiation uniformity is >85%.

[0042] The water quality testing submodule, based on primary disinfected water, uses multi-parameter online monitoring technology to detect six indicators in real time, including COD<30mg / L and NH3-N<1.5mg / L, and generates a compliance test report; The primary disinfectant flows through the online monitoring platform. COD detection uses the potassium dichromate digestion-colorimetric method, with a digestion temperature of 165℃ maintained for 20 minutes. NH3-N detection uses Nessler's reagent spectrophotometry with an absorption wavelength of 420nm. When treating municipal wastewater with an initial COD value of 45mg / L, samples are taken every 5 minutes. The third detection value is 28mg / L, and the fifth value stabilizes at 26mg / L. The six-parameter detector simultaneously acquires data such as pH 7.2, turbidity 0.8NTU, and residual chlorine 0.3mg / L. Data packets are generated every 10 minutes, including timestamps, detection values, and comparison results with standard limits.

[0043] The diversion output submodule, based on the compliance test report, uses a pneumatic three-way valve assembly to allocate ecological water replenishment and municipal reclaimed water flow in a 4:6 ratio to generate compliant reclaimed water.

[0044] The compliance test report triggers the PLC control program. The pneumatic three-way valve has a diameter of DN200 and an actuator stroke time of 8 seconds. When the total flow rate is 120 m³ / h, the ecological water replenishment branch valve opening of 60% corresponds to a flow rate of 48 m³ / h, and the municipal reuse branch valve opening of 75% corresponds to a flow rate of 72 m³ / h. When the pressure sensor detects a pressure of 0.25 MPa in the main pipeline, the proportional-integral controller adjusts the opening to make the branch pressure difference ≤0.02 MPa. For example, after the third adjustment, the ecological water replenishment flow rate is 49.2 m³ / h, and the municipal reuse flow rate is 70.8 m³ / h, with a proportional deviation of <1.5%.

[0045] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A wastewater treatment and filtration system for urban renewal and environmental remediation, characterized in that... It includes the following modules: pretreatment module, cyclone separation module, dynamic membrane treatment module, intelligent control module, backwash regeneration module, rotation optimization module, and effluent reuse module; The pretreatment module, based on the grid interception method, adopts the gradient screening method and uses a three-stage stepped stainless steel grid system to achieve graded interception of floating objects and generate primary purified liquid. Specifically, the gradient screening method involves the raw sewage entering the three-stage stepped stainless steel grid system. The first stage uses 20mm spacing grid bars to intercept large-volume debris, the second stage uses 10mm spacing grid bars to intercept medium-sized impurities, and the third stage uses a 5mm precision screen to filter fine particles. The pretreatment module includes a bar screen interception submodule, a flow regulation submodule, and a water quality balancing submodule; The cyclone separation module, based on the primary purified liquid, adopts tangential flow centrifugal separation method and achieves an SS removal rate of ≥90% through fluid dynamics control to generate cyclone fine filtrate. Specifically, the tangential flow centrifugal separation method involves introducing the primary purified liquid through a 300mm diameter inlet pipe at a tangential flow velocity of 2.5m / s, with a pipe wall roughness Ra≤3.2μm, generating turbulent flow with a Reynolds number Re stable in the range of 5200±50. The cyclone separation module includes a tangential water inlet submodule, a vortex generation submodule, and a cone-shaped sewage discharge submodule; The dynamic membrane treatment module, based on cyclone filtration, employs cross-flow filtration and uses gradient pore size composite filter media to retain colloidal substances and generate membrane permeate. The dynamic membrane treatment module includes a composite filter element submodule, a cross-flow channel submodule, and a permeate collection submodule; The intelligent control module, based on transmembrane pressure differential monitoring data, employs a sliding window filtering algorithm to stabilize membrane flux through pressure regulation and generates a pressure regulation signal. The intelligent control module includes a differential pressure monitoring submodule, a logic operation submodule, and a signal output submodule; The backflush regeneration module, based on pressure control signals, adopts a high-pressure gas-liquid pulse method to achieve a membrane flux recovery rate of ≥95% through compressed air impact, generating a regeneration workflow; The recoil regeneration module includes a pulse generation submodule, a gas-liquid mixing submodule, and a directional injection submodule; The rotation optimization module, based on the membrane fouling distribution model, uses the stochastic gradient descent algorithm to generate an optimized flow field and an optimized shear field through a mechanical rotation device. The rotation optimization module includes an angle sensing submodule, a motor drive submodule, and a positioning and locking submodule; The wastewater reuse module, based on membrane filtration permeate, employs a combined disinfection process and achieves fecal coliform control through microbial inactivation treatment to generate compliant reused water. The wastewater reuse module includes a disinfection reaction submodule, a water quality testing submodule, and a diversion output submodule.

2. The urban renewal environmental remediation sewage treatment and filtration system according to claim 1, characterized in that: The bar screen interception submodule, based on raw sewage, uses a gradient screening method and a three-stage stepped stainless steel bar system to intercept solid waste and generate coarse filtered sewage. The flow regulation submodule, based on coarse-filtered wastewater, adopts a PID flow control algorithm. It achieves ±5% flow fluctuation control through the linkage of an ultrasonic level gauge and an electric gate, generating stable flow wastewater. Specifically, the PID flow control algorithm uses an ultrasonic level gauge to detect the water level with an accuracy of 0.1mm. When the water level deviates from the set value by ±50mm, the PLC controller adjusts the opening of the electric gate according to the deviation, keeping the flow fluctuation within the target range. The water quality balancing submodule, based on steady-flow sewage, uses a hydraulic homogenization method to stabilize the pH value through a baffle plate reaction tank and generate a primary purified liquid.

3. The urban renewal environmental remediation sewage treatment and filtration system according to claim 1, characterized in that: The tangential water inlet submodule, based on the primary purification liquid, uses tangential flow centrifugal separation to generate turbulent flow with a Reynolds number Re≥5000 through the matching relationship between pipe diameter and flow velocity, thus generating a swirling mixture. The vortex generation submodule, based on swirling mixture, uses a forced vortex generation method to achieve centrifugal acceleration through a 60° conical cavity, generating centrifugal separated flow; The cone-shaped sludge discharge submodule, based on centrifugal separation flow, uses gravity sedimentation to discharge water-containing sludge by periodically opening the pneumatic valve at the bottom of the cone, generating cyclone fine filtrate.

4. The urban renewal environmental remediation sewage treatment and filtration system according to claim 1, characterized in that: The composite filter module, based on cyclone fine filtration liquid, adopts gradient retention method and achieves graded filtration through a three-layer composite structure including coarse filtration layer, fine filtration layer and ultrafiltration layer to generate membrane pretreatment liquid; The cross-flow channel submodule, based on the membrane pretreatment solution, adopts a tangential flow dynamics model to maintain a membrane surface flow velocity of 2.0 m / s to generate a shear force ≥0.5 N / m², thus generating a cross-flow flushing solution; The permeate collection submodule, based on cross-flow flushing fluid, uses negative pressure permeation to achieve a flux of 3 m³ / h·m² through a transmembrane pressure difference of -0.05 MPa, generating membrane filtration permeate.

5. The urban renewal environmental remediation sewage treatment and filtration system according to claim 1, characterized in that: The differential pressure monitoring submodule, based on transmembrane differential pressure sensor data, uses a sliding window filtering algorithm to achieve real-time monitoring of accuracy through signal acquisition and generate standardized differential pressure data. The sliding window filtering algorithm uses a 5-point sliding window and takes the arithmetic mean of 5 consecutive sample values ​​to compress the fluctuation range of the original data to ±0.01MPa. The logic operation submodule, based on standardized differential pressure data, uses a fuzzy PID control algorithm to calculate pulse trigger parameters through PLC programming and generate control decision instructions; The signal output submodule, based on control decision commands, uses PWM modulation to generate pressure control signals by outputting precision adjustment signals via communication.

6. The urban renewal environmental remediation sewage treatment and filtration system according to claim 1, characterized in that: The pulse generation submodule, based on the pressure control signal, adopts a high-pressure gas energy storage method to generate compressed air pulses through a three-stage pressurization device, thereby generating high-pressure pneumatic pulses. The gas-liquid mixing submodule, based on high-pressure pneumatic pulses and employing Venturi tube mixing technology, completes uniform mixing of gas and water at a ratio of 1:5 within 0.3 seconds, generating a gas-liquid mixed jet. The directional jetting submodule, based on gas-liquid mixed jet, uses a conical nozzle array to achieve backwashing coverage with a 120° coverage angle, generating a regeneration workflow.

7. The urban renewal environmental remediation sewage treatment and filtration system according to claim 1, characterized in that: The angle sensing submodule, based on the membrane surface contamination distribution model, uses Honeywell magnetic coding technology to acquire 0.025° precision angle data through a 14-bit resolution sensor and generate a contamination distribution map. The motor drive submodule, based on the pollution distribution map, uses a stochastic gradient descent algorithm to achieve precise positioning through a stepper motor and generate rotation control commands. Specifically, the stochastic gradient descent algorithm calculates the optimal rotation angle iteratively in steps of 0.1° when the pollution load of a specific sector meets the standard, and the stepper motor performs precise positioning. The positioning and locking submodule, based on rotation control commands and employing an electromagnetic brake device, completes membrane module positioning and locking within the error range, generating an optimized shear field.

8. The urban renewal environmental remediation sewage treatment and filtration system according to claim 1, characterized in that: The disinfection reaction submodule, based on membrane filtration permeate, uses a UV-ozone synergistic oxidation method to achieve fecal coliform count <200 CFU / L through UV dosage, generating primary disinfectant water; The water quality testing submodule, based on primary disinfection water, uses multi-parameter online monitoring technology to detect COD <30mg / L and NH3-N <1.5mg / L in real time and generate a compliance test report; The diversion output submodule, based on the compliance test report, uses a pneumatic three-way valve assembly to allocate ecological water replenishment and municipal reclaimed water flow in a 4:6 ratio to generate compliant reclaimed water.

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