Intelligent washing machine and method for controlling washing timing using the same
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Solution Overview
Problem
Conventional washers cause noise disturbance and can leave laundry wet for extended periods, leading to odor issues when users are away and the cycles are completed.
Innovation Solution
An intelligent washer that calculates the required wash time based on laundry amount and classification, predicts the user's return time using AI learning models incorporating GPS and traffic information, and adjusts wash cycles to ensure completion at the user's return, thereby minimizing noise and preventing prolonged wet laundry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the wash cycle is performed during user absence, then noise disturbance is reduced, but laundry may be neglected for extended periods causing odor issues
Solution Approach 1:
The system performs preliminary actions by predicting the user's return time using AI learning models (analyzing GPS data, traffic information, and historical patterns) and scheduling the wash cycle to complete exactly when the user returns. This preliminary planning ensures laundry is processed during absence without being neglected, resolving the contradiction between noise reduction and odor prevention.
2Productivity
If the wash cycle duration is extended to handle large laundry amounts, then washing completeness is improved, but noise disturbance increases during user presence
Solution Approach 1:
The system dynamically adjusts wash cycle parameters based on real-time conditions. The controller modifies washing time, water temperature, and cycle intensity according to laundry amount, fabric type, and predicted user return time. This dynamic adaptation allows complete washing of large loads while scheduling noise-intensive operations during user absence.
Solution Approach 2:
The AI learning model performs preliminary analysis of user patterns (GPS tracking, traffic data, historical return times) to predict when the user will return. This allows the system to pre-schedule wash cycles that complete exactly when needed, balancing washing completeness with noise management during user presence.
3Object-affected harmful factors
If the wash cycle is shortened to reduce noise exposure, then noise disturbance is reduced, but washing quality deteriorates
Solution Approach 1:
The controller dynamically adjusts multiple wash parameters (water temperature, agitation intensity, cycle phases) to maintain washing quality within shorter timeframes. When user presence is detected or predicted, the system modifies cycle intensity and duration to reduce noise while using higher temperatures or concentrated detergent to ensure adequate washing performance.
Data Source
AI summary
According to an embodiment of the present invention, a method of controlling wash timing using an intelligent washer comprises determining to perform a wash, calculating a required time for the wash, predicting a return time of the user, and determining a start time of the wash to terminate the wash corresponding to the return time. According to an embodiment, the washer may be related to artificial intelligence (AI) modules, unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.