AI Laundry Time Prediction for Combined Wash and Dry Cycles
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Solution Overview
Problem
Users face challenges in determining the total required time for both washing and drying processes in home appliances, as existing systems take a long time to predict and display administration times based on measured weights, and it is difficult to estimate the total time at the start of the washing process due to individual predictions for each appliance.
Innovation Solution
An electronic apparatus equipped with trained first and second artificial intelligence models processes weight and course information from washing and drying machines to predict and provide total required time information, improving user convenience by displaying this information at the start of the washing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a drying machine predicts and displays administration time after sufficiently tumbling laundry, then the drying time prediction becomes more accurate, but it takes a long time to display the predicted time
Solution Approach 1:
The system performs preliminary actions by having the washing machine transmit weight information before the drying process starts. The electronic apparatus receives this weight information in advance and inputs it into the artificial intelligence model to predict drying time beforehand, rather than waiting until after tumbling to make the prediction.
Solution Approach 2:
The system segments the time prediction process into two parts: (1) preliminary prediction based on weight information from the washing machine, and (2) subsequent adjustment after actual drying. This allows the system to display an initial predicted time quickly while still improving accuracy through later measurements.
2Reliability
If the drying machine individually predicts administration time after laundry is put into washing machine and drying machine, then the prediction is based on actual conditions, but it is difficult for the user to know total required time at the start of washing
Solution Approach 1:
The system merges the washing time information from the washing machine with the drying time prediction from the electronic apparatus to calculate and display the total required time. This integration allows users to see the complete processing time at the start of washing, combining information from multiple sources into a single useful metric.
Solution Approach 2:
The washing machine provides feedback to the electronic apparatus by transmitting weight information and washing course information. The electronic apparatus uses this feedback to adjust and refine the drying time prediction, ensuring accuracy while maintaining real-time information availability for the user.
Data Source
AI summary
An electronic apparatus includes a memory storing information on a trained first artificial intelligence model and second artificial intelligence model, a communication interface, and a processor. The processor is configured to, based on weight information of laundry before washing and washing course information being received from a washing machine, input the received weight information of the laundry before washing and the washing course information into the first artificial intelligence model to acquire weight information of the laundry after washing. The processor or is also configured to input the acquired weight information of the laundry after washing and drying course information into the second artificial intelligence model to acquire drying time information for a drying process. The processor is further configured to transmit the acquired drying time information to at least one of the washing machine or a drying machine through the communication interface.