Washer Detergent Dosing Using AI-Based Contamination Sensing
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Solution Overview
Problem
Existing washers fail to determine the optimal amount of detergent based on the contamination level of laundry, leading to inadequate cleaning, especially for heavily soiled items.
Innovation Solution
A washer system that uses a turbidity sensing sensor to measure contamination levels in washing water, combined with a deep neural network model, to adjust detergent input dynamically, ensuring the right amount of detergent is used based on contamination levels, laundry quantity, temperature, and type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the detergent amount is arbitrarily input by the user, then the operation is simple, but the washing effectiveness deteriorates due to inability to decide suitable detergent amount
Solution Approach 1:
The system automatically determines the optimal detergent amount by sensing laundry weight and contamination level, then controls the detergent dispenser to release the calculated amount. This eliminates the need for user judgment while ensuring adequate detergent dosage for effective washing.
Solution Approach 2:
The system uses sensors to detect laundry weight and contamination level, processes this information through a controller, and adjusts detergent dosage accordingly. This closed-loop feedback mechanism ensures the detergent amount matches the actual washing needs.
2Device complexity
If the detergent amount is decided based on laundry amount only, then the measurement is simple, but the washing effectiveness deteriorates for highly contaminated laundry
Solution Approach 1:
The detergent dosage determination is divided into two independent measurement components: laundry weight sensing and contamination level sensing. Each component provides specific information that, when combined, enables accurate detergent amount calculation for various washing scenarios.
Solution Approach 2:
The system transitions from considering only laundry weight to incorporating contamination level as an additional parameter. This parameter change allows the system to adjust detergent dosage based on the actual soiling degree, improving washing effectiveness for heavily contaminated laundry.
3Reliability
If more detergent is used to ensure clean washing of highly contaminated laundry, then the washing effectiveness improves, but the substance loss increases
Solution Approach 1:
The detergent dosage is dynamically adjusted based on real-time sensing of laundry weight and contamination level. The controller calculates the optimal detergent amount and controls the dispenser to release precisely this amount, avoiding both insufficient and excessive detergent usage.
Solution Approach 2:
The system uses contamination level as a dynamic parameter to adjust detergent dosage. By measuring the actual soiling degree and translating it into appropriate detergent amount, the system ensures adequate washing effectiveness while minimizing detergent waste.
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
This approach ensures cleaner laundry by accurately determining and adjusting detergent amounts in real-time, improving washing efficiency and effectiveness regardless of contamination levels.
Implementation Method 1
sense the contamination level of the washing water based on the calibrated conductivity and light transmittance according to the temperature of the washing water
Implementation Method 2
sense the contamination level of the washing water based on the calibrated conductivity and light transmittance according to the temperature of the washing water
Implementation Method 3
sense the contamination level of the washing water based on the calibrated conductivity and light transmittance according to the temperature of the washing water
Data Source
AI summary
Disclosed are a washer for adjusting an amount of detergent and a method of driving the same, which controls an automatic detergent dispenser to decide the amount of detergent on an amount of contamination of laundry by using artificial intelligence or machine learning, and to input the determined amount of detergent to washing water.