Water Treatment Chemical Dosing Control for Variable Feed Water
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Solution Overview
Problem
Existing methods for chemical dosing in water treatment plants, such as seawater desalination, rely on sampling experiments and operator knowledge, making it difficult to control chemical application in real-time based on changing feed water conditions, leading to inefficiencies and potential damage to late-stage processes.
Innovation Solution
A chemical dosing optimization apparatus and method that utilizes real-time data analysis, a water treatment model, and a controller to predict and optimize chemical dosage, minimizing costs while maintaining treated water quality within normal ranges and preventing damage to late-stage processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time data analysis and water treatment model are used to optimize chemical dosing, then chemical dosing cost is reduced and dosing efficiency is improved, but device complexity and control system complexity increase
Solution Approach 1:
The system performs preliminary actions by collecting and preprocessing historical water quality data and chemical dosing data before real-time optimization. The water treatment model is pre-trained with this historical data to establish relationships between water quality parameters and optimal chemical dosing, enabling the system to quickly predict and optimize dosing in real-time without complex on-the-fly calculations.
Solution Approach 2:
The patent introduces an intermediary water treatment model that acts as a mediator between raw sensor data and chemical dosing control decisions. This model processes and interprets real-time water quality data, translating complex multivariate relationships into actionable dosing recommendations, thereby simplifying the overall control architecture while maintaining high dosing efficiency.
2Stability of the object's composition
If chemical dosing is optimized based on real-time feed water state changes, then treated water quality stability is improved, but control system complexity and data processing requirements increase
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring treated water quality parameters and using this information to adjust chemical dosing in real-time. The water treatment model incorporates feedback loops that compare actual water quality measurements with target values, automatically adjusting dosing rates to maintain stable treated water quality despite variations in feed water composition.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting chemical dosing parameters (dosage rate, timing, type) based on real-time feed water quality parameters. The system monitors key water quality parameters such as turbidity, pH, and conductivity, and automatically modifies chemical dosing parameters to maintain treated water quality within acceptable ranges, responding to feed water state changes without manual intervention.
3Quantity of substance
If minimum chemical dosage is used to maintain treated water quality in normal range, then chemical cost is reduced, but risk of process failure and damage to late-stage processes increases
Solution Approach 1:
The system performs preliminary risk assessment by analyzing historical data and predicting potential process failures before they occur. The water treatment model identifies trends and patterns that indicate approaching failure conditions, allowing the system to proactively adjust chemical dosing to prevent process failures while minimizing chemical usage during normal operation. This predictive capability enables the system to use minimum dosing safely by knowing when to increase dosing to prevent failures.
Solution Approach 2:
The patent implements beforehand cushioning by establishing safety margins and buffer zones in the control strategy. The system maintains treated water quality parameters within a narrower range than absolute minimum requirements, creating a cushion that prevents accidental process failures. This cushioning approach allows the system to use minimal chemical dosing while maintaining reliability, as the buffer protects against variations and unexpected conditions.
Data Source
AI summary
A chemical dosing optimization apparatus includes a chemical dosing optimization part and a chemical dosing output control part, wherein the chemical dosing optimization part receives real-time data at least from a water treatment plant treating feed water by dosing a chemical and providing a treated water, analyzes the real-time data through a water treatment model in response to receiving the real-time data, derives a prediction value for predicting a state of the treated water of the water treatment plant, and derives a control value based on the prediction value through a controller, such that the control value is to set a minimum of a chemical dosage to be dosed in the feed water while the state of the treated water of the water treatment plant is maintained in a normal range, and wherein the chemical dosing output control part provides the control value to a water treatment control device.