Reverse Osmosis Process Control

Pure water production system with optimized water quality and energy efficiency when flow rate varies. The system has sensors to detect effective membrane pressure in the reverse osmosis section. Based on the sensor readings, it adjusts the number of parallel membranes treating the water. This allows maintaining stable membrane performance and water quality as flow rate changes, preventing deterioration. By dynamically matching membrane capacity to flow, it can save pump energy compared to fixed membrane systems.

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Automatic flow control for membrane water purification systems to optimize water production and membrane life while reducing waste. The method involves using a controller to dynamically adjust the diaphragm valve opening based on parameters like membrane performance, pump pressure, and water quality. This ensures the right balance of purified water flow and wastewater flow without manual intervention. The controller calculates an optimal ratio of wastewater to purified water to prevent excessive waste or membrane fouling. It also monitors factors like membrane temperature and pressure to detect fouling conditions and flush the membrane.

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A support system for optimizing water treatment processes using membrane filtration. The system uses machine learning to analyze water quality, filtration conditions, and membrane performance data to determine optimal permeation flux, cleaning frequencies, and cleaning conditions for the membrane filtration device. This provides recommendations to the water treatment operator on how to optimize their processes for better water treatment efficiency and membrane longevity.

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A system to adjust the flow rate of water coming out of a water purifier. It uses sensors to measure the inlet water temperature, pressure, and flow, and then adjusts the output pressure and/or flow of the water pump in the purifier. This allows correcting the water output to meet requirements for membranes like reverse osmosis. It solves the issue that existing water purifiers cannot adjust pump performance to match membrane needs. The system can also have buttons to change flow rates.

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Operating a water filtration system using a membrane module to identify clogged areas and clean them efficiently. The method involves monitoring pressure drops during filtration, backwashing, and water discharge. By comparing changes in these resistance values, it can determine if clogging is worse in certain areas. If so, it performs targeted cleaning like air washing, longer discharge time, or pressurized discharge. The idea is to proactively identify and address localized fouling without wasting water by blindly cleaning the whole module.

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Monitoring and optimizing the performance of membrane filters in filtration systems by continuously measuring the flow rate of permeate fluid and comparing it to a predefined flux rate. If the measured flux falls below the threshold, the system switches to a flux tolerant mode that allows higher fouling and lower filtration efficiency. This prevents unnecessary filter replacements when flux degradation is minor. The system also determines a normalized water permeability value based on the flux measurements to further assess filter health.

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A reverse osmosis water purification system with dynamic parameter adjustment to improve efficiency and stability compared to fixed settings. The system uses a control unit to monitor the operating conditions of the reverse osmosis device and adjust parameters like pump speeds, feedwater flow, and flushing frequency based on real-time data. This allows optimizing performance as components wear and conditions change over time. The control unit also provides warnings and alarms based on critical parameters like water levels.

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Reverse osmosis system with adjustable drain flow control based on feed water TDS. A self-regulating valve restricts concentrate flow to the drain in response to the feed water TDS level. A TDS sensor measures the concentration before the RO filter. The valve receives TDS signals and adjusts the drain flow accordingly. This allows optimized drain flow for varying feed water quality.

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A reverse osmosis water filtration system that automatically regulates the flow of concentrated wastewater based on the incoming raw water TDS level. The system has an adjustable valve that controls the flow of wastewater to drain. A TDS sensor measures the incoming raw water TDS and sends a signal to the valve. The valve adjusts the wastewater flow based on the TDS level to optimize membrane performance and extend membrane life for varying raw water qualities.

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Stable and energy-saving reverse osmosis system that adjusts recovery rate based on feed water quality to improve system stability and efficiency. The system has a control system that monitors feed water quality and adjusts the recovery rate of the reverse osmosis membrane group to maintain target concentrations in the permeate and concentrated streams. This prevents scaling, fouling, or waste due to fluctuating feed water quality. The control system uses sensors like conductivity, hardness, and SiO2 meters to measure feed water quality.

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A dynamic control system for reverse osmosis membrane fouling based on real-time monitoring of operating conditions. The system uses sensors on the inlet and outlet pipes of each membrane group to monitor parameters like pressure, conductivity, and flow rate. These signals are fed back to a control system to determine the best cleaning time for each membrane based on flux and transmembrane pressure differences. This allows targeted cleaning of fouled membranes instead of full system shutdowns.

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A method and device for maintaining constant water flow rate from a water purifier like a reverse osmosis system. It involves monitoring the inlet temperature and flow of the reverse osmosis filter element, and then controlling a heater and pump to maintain the inlet conditions within a range. This ensures a consistent outlet flow rate from the filter element.

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Optimizing reverse osmosis water treatment systems for higher recovery rates and longer operating cycles by using parallel connected membrane sections and valves to dynamically switch between single-stage and two-stage operation based on performance metrics like flow, pressure, and salt rejection. This allows flexible configuration to maintain optimal system efficiency and prevent fouling.

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An apparatus and method for controlling a reverse osmosis seawater desalination plant to optimize chemical dosing during pretreatment without impacting downstream filtration performance. The method involves monitoring turbidity, iron, and pressure increases in the ultrafiltration and reverse osmosis stages. If turbidity exceeds a threshold, chemical dosing is adjusted to lower it. If ultrafiltration or reverse osmosis pressure increases exceed limits, chemical dosing is adjusted to prevent excessive pressure rises. This coordinated chemical dosing optimization ensures downstream filtration performance while maintaining upstream turbidity control.

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A control system for a water purifier that regularly drains the high concentration water on both sides of the reverse osmosis membrane to improve purification efficiency. The system has a control module connected to the water purification module. When the pure water outlet stops, the control module opens valves to communicate the clean water, reverse osmosis filter, and waste water flow paths. When the pure water outlet is closed for a period, it opens valves to communicate the clean water, reverse osmosis filter, stale water, and waste water flow paths. This regularly drains the high concentration water on both sides of the membrane to prevent fouling and improve purification.

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Automatic feedback control system for reverse osmosis water filtration that maintains desired flow rates and water quality. The system uses iterative feedback loops to adjust feed water and concentrate water flow rates based on measured permeate flow rate and solute concentration. This continuously optimizes filtration efficiency and purity by compensating for factors like membrane type, feed water quality, and temperature.

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Monitoring the operation of a reverse osmosis membrane treatment system to detect fouling and take appropriate action. The monitoring involves measuring the power consumption of the water supply pump and monitoring the power value. Fouling tendency is determined based on fluctuations in supply flow rate, pressure, and temperature. If fouling is detected, measures like adding chemicals, changing pH, or temperature can be taken to suppress fouling.

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Automatic control system for combined reverse osmosis and electrical desalination devices to enable unattended operation without human intervention. The system uses level sensors on the fresh water tank and desalinated water tank to automatically adjust the frequency of the fresh water pump based on water level changes. This prevents low or high water levels in the tanks from affecting reverse osmosis and EDI devices. The system also has logic to start and stop both devices jointly, and to automatically restart them if stopped due to low water levels. The system provides stable operation and avoids frequent starts/stops without manual intervention.

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A reverse osmosis water treatment device with constant flow rate capability by using a rotating valve to regulate the water flow rate. The device has a base plate with a booster pump, display screen, flow detector, controller, and an energy recovery pump. A water valve pipe connects the pump to the reverse osmosis tank. A rotating motor drives a valve ball in the pipe to increase or decrease the water flow port and control the flow rate. This allows monitoring the flow rate, displaying it, and adjusting it using the motor to maintain a constant flow rate through the reverse osmosis process.

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A reverse osmosis water treatment system that uses automated controls to optimize performance and extend membrane life. The system has modules for dosing chemicals, monitoring water parameters, cleaning alarms, and filter replacement alarms. It uses a central control module to coordinate the functions and make decisions based on real-time parameter data. The system optimizes chemical dosing, prevents fouling, and schedules cleaning and filter replacements to maintain membrane performance.

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