Water Treatment Chemical Dosing Control Using Real-Time Optimization
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Solution Overview
Problem
Existing methods for controlling chemical dosing in water treatment plants, such as seawater desalination, rely on sampling experiments and operator knowledge, making it difficult to adjust chemical dosages in real-time to account for changes in feed water conditions.
Innovation Solution
An apparatus and method that utilizes real-time data analysis through a water treatment model and controller to optimize chemical dosing, setting the minimum dosage required to maintain treated water within a normal range, with a control value derivation part that classifies and analyzes data on a group, part, and unit basis to calculate optimal chemical dosages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time data analysis through optimization algorithm is implemented, then chemical dosing optimization and operation speed are improved, but device complexity increases
Solution Approach 1:
The patent introduces a water treatment model as an intermediary between the optimization algorithm and the control system. This model simulates the water treatment process and provides prediction values that bridge the gap between complex real-time data analysis and practical chemical dosing control, enabling fast optimization without directly implementing complex algorithms in the control device
Solution Approach 2:
The control value derivation is segmented into multiple parts: group control value derivation, part control value derivation, and unit control value derivation. This segmentation allows the system to process complex data in manageable stages, improving operation speed while distributing computational complexity across multiple simplified processing steps
2Loss of substance
If minimum chemical dosage is set through optimization, then chemical usage is reduced, but maintaining treated water quality within normal range becomes more difficult
Solution Approach 1:
The system uses feedback from the water treatment model's prediction values to continuously adjust chemical dosing recommendations. The optimization algorithm receives feedback about the relationship between chemical dosage and treated water quality, enabling it to find the minimum dosage that still maintains quality within the normal range through iterative optimization
Solution Approach 2:
The optimization algorithm changes parameters such as chemical dosage, flow rate, and concentration to find the optimal combination that minimizes chemical usage while maintaining water quality. By dynamically adjusting these parameters based on real-time data and prediction values, the system achieves both reduced chemical dosage and maintained reliability
3Reliability
If real-time control is implemented to account for feed water changes, then treated water quality is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The water treatment model serves as an intermediary that handles the complexity of real-time data analysis. Instead of directly measuring and analyzing all real-time parameters, the model simulates the treatment process and generates prediction values that simplify the detection and measurement requirements while still enabling real-time quality control
Data Source
AI summary
An apparatus for controlling chemical dosing optimization in a water treatment plant treating feed water includes: a control value derivation part configured to receive real-time data, analyze the real-time data through a water treatment model and a controller in response to receiving the real-time data, and calculate a control value, such that the control value is to set a minimum of a chemical dosage while maintaining a state of treated water of the water treatment plant in a normal range, the water treatment model simulating the water treatment plant and the controller being an optimization algorithm; and a chemical dosing output control part configured to provide the control value to a water treatment control device.