Water Quality Prediction Using Scaled Evaluation and Parameter Correction

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Solution Overview

Problem

Existing systems for evaluating water quality in water treatment systems, such as pure water production systems, struggle to accurately predict the quality of treated water due to differences in configuration and operating conditions between small evaluation systems and large production systems, particularly in removing persistent TOC components, leading to delays in responding to changes in raw water quality.

Innovation Solution

A water quality prediction system and method that uses a smaller system for evaluation equipped with the same type of water treatment devices as the main system, operating under different parameters, to calculate predicted solute concentrations in treated water based on the quality of water to be treated, quality of treated water in the evaluation system, and operating parameters of both systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If a small system for evaluation is installed to evaluate raw water quality, then the system can respond quickly to changes in raw water quality, but the configuration and operating conditions differ from the main production system, leading to inaccurate prediction of treated water quality

Engineering Contradiction:
Improveresponse speed to changes in raw water qualityVSAvoidaccuracy of treated water quality prediction
Core Design Contradiction:
SpeedVSMeasurement precision

Solution Approach 1:

The invention introduces a calculation unit that adjusts measurement values from the evaluation system by applying correction factors based on differences in configuration and operating parameters between the evaluation system and the main production system. This allows the small evaluation system to provide accurate predictions for the larger production system despite parameter differences.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The calculation unit acts as an intermediary between the evaluation system measurements and the main production system predictions. It processes the measurement values by incorporating correction factors that account for system differences, thereby bridging the gap between the evaluation system and the production system.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If the evaluation system is made small to reduce cost and complexity, then installation cost and system complexity are reduced, but the ability to accurately predict treated water quality deteriorates

Engineering Contradiction:
Improvesystem complexity of evaluation systemVSAvoidaccuracy of treated water quality prediction
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The invention compensates for the simplified configuration of the small evaluation system by introducing calculation-based corrections. The calculation unit applies correction factors that account for differences in membrane area, operating conditions, and other parameters, allowing the small system to predict quality accurately despite its simplified structure.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If the main production system waits for detected changes in treated water quality at the outlet, then the system can ensure quality standards are met, but the response time is delayed due to the large processing capacity

Engineering Contradiction:
Improvequality standard complianceVSAvoidresponse time to quality changes
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The invention enables preliminary detection and prediction of quality changes before they occur in the main production system. By continuously monitoring raw water quality through the evaluation system and using calculation-based prediction, the system can anticipate quality changes and take corrective action before they affect the treated water output, thereby reducing response time while maintaining reliability.

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables accurate prediction of treated water quality in large water treatment systems, allowing for timely adjustments to maintain desired water quality by predicting TOC concentrations and other solute levels, thereby improving responsiveness to changes in raw water quality.

Implementation Method 1

a reverse osmosis membrane device that performs reverse osmosis treatment on the water to be treated

Methodology Applied
Scientific EffectReverse osmosis: Reverse Osmosis

Implementation Method 2

an ultraviolet irradiation device that performs ultraviolet irradiation treatment on the permeated water

Methodology Applied
Scientific EffectPhoto-oxidation: Photo-oxidation

Implementation Method 3

an ion exchange device that performs ion exchange treatment on the water after the ultraviolet irradiation treatment

Methodology Applied
Scientific EffectIon exchange: Ion Exchange

Data Source

PatentUS20250214871A1System for predicting water quality in water treatment system, and method for predicting water quality
Publication Date: 2025.07.03 ORGANO CORP
  • US20250214871A1 patent drawing
  • US20250214871A1 patent drawing
  • US20250214871A1 patent drawing

AI summary

A water quality prediction system for predicting quality of treated water in a water treatment system equipped with a first water treatment device that performs a unit operation on water to be treated when the water to be treated is supplied to the water treatment system and the water treatment system is operated based on first operating parameters includes: a system for evaluation that is equipped with a second water treatment that performs same unit operation as the first water treatment device, that is supplied with the water to be treated, and that is operated according to second operating parameters; and a calculation unit that calculate a predicted value of solute concentration in the treated water of the water treatment system based on quality of the water to be treated, quality of treated water in the system for evaluation, the first operating parameters, and the second operating parameters.