Membrane Cleaning Planning for Transmembrane Pressure Spikes
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Solution Overview
Problem
Conventional methods for maintaining and managing submerged membrane separation devices in water treatment facilities rely on empirical correlations, which fail to effectively handle non-steady situations such as abrupt rises in transmembrane pressure difference, leading to excessive chemical solution stockpiling and inefficient cleaning schedules.
Innovation Solution
A management device that predicts transmembrane pressure differences and adjusts operating conditions to prevent overlapping cleaning periods across multiple water treatment systems, allowing for timely chemical solution ordering and minimizing stock levels by devising cleaning plans based on predicted trends and adjusting operating parameters like flux and aeration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional empirical methods are used to determine cleaning periods, then cleaning schedules are established based on historical data, but the method cannot properly cope with non-steady situations where empirical laws do not apply
Solution Approach 1:
The system performs preliminary prediction of transmembrane pressure difference trends using a prediction unit before the actual cleaning is needed. This allows the system to anticipate when cleaning will be required and prepare accordingly, rather than relying on empirical rules that only work for steady-state conditions. The prediction enables proactive scheduling that adapts to changing operating conditions.
Solution Approach 2:
The system continuously monitors actual transmembrane pressure difference values and compares them with predicted values. When deviations occur indicating non-steady situations, the system adjusts the cleaning schedule based on real-time feedback. This closed-loop control allows the system to adapt to empirical law breakdowns and non-steady operating conditions dynamically.
2Productivity
If chemical solution cleaning is scheduled based on empirical laws for multiple water treatment systems, then cleaning periods are determined, but overlapping cleaning periods occur requiring excessive stock of cleaning chemical solution
Solution Approach 1:
The system predicts transmembrane pressure difference trends for multiple water treatment systems in advance and schedules cleaning operations before the predicted cleaning points are reached. This preliminary scheduling, based on predicted rather than empirical timing, allows optimization of cleaning schedules across multiple systems to avoid overlaps, thereby reducing the required stock of cleaning chemical solution.
Solution Approach 2:
The system dynamically adjusts cleaning schedules for multiple water treatment systems based on real-time monitoring and prediction of transmembrane pressure differences. Rather than using fixed empirical intervals, the system flexibly schedules cleanings to avoid overlaps between systems, optimizing the timing of each cleaning operation to minimize peak chemical solution requirements.
3Ease of manufacture
If cleaning is performed based on empirical correlations, then standard cleaning intervals are established, but the method falls short of properly coping with abrupt rises in transmembrane pressure difference
Solution Approach 1:
The system continuously monitors transmembrane pressure difference and compares actual values with predicted values. When abrupt changes or deviations from predicted trends occur, the system immediately adjusts the cleaning schedule in response to this feedback. This real-time monitoring and adjustment mechanism maintains reliability in responding to pressure difference changes while preserving the simplicity of automated schedule management.
Solution Approach 2:
The system replaces empirical rule-based scheduling with a prediction-based intelligent scheduling system. Instead of using fixed empirical correlations that cannot adapt to abrupt changes, the system uses predictive algorithms that can detect and respond to sudden pressure difference rises, thereby improving reliability while maintaining automated ease of operation.
Data Source
AI summary
A management device for a water treatment facility includes: a transmembrane pressure difference prediction unit configured to predict a general trend in a transmembrane pressure difference in a water treatment system based on an operation information, the operation information being related to the water treatment system including a membrane separation device installed therein; a chemical solution cleaning planning unit configured to devise such a chemical solution cleaning plan that chemical solution cleaning is performed before a period when a value of the transmembrane pressure difference predicted reaches a specified value; and a chemical solution order placement information generation unit configured to generate chemical solution order placement information based on the and the cleaning chemical solution stock information.