Method and system for automatic setting of operating program of household appliance and household appliance
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Solution Overview
Problem
Existing household appliances, such as washing machines, lack intelligence in automatically setting operating programs that accurately meet user requirements at different times, often requiring manual intervention due to insufficient consideration of user habits and preferences.
Innovation Solution
A method utilizing a machine learning model that predicts an operating program based on current time and historical data, including user habits and preferences, to automatically set an appropriate program without user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a simple memory mode is used to automatically set the operating program, then the device complexity is reduced, but the accuracy of matching between the automatically set program and actual user requirement deteriorates
Solution Approach 1:
The system automatically collects user operation data, analyzes usage patterns, and self-adjusts the operating program settings without requiring manual user intervention. The appliance learns from user behavior and autonomously optimizes program selection based on accumulated historical data.
Solution Approach 2:
The system continuously monitors user interactions with the appliance, collects feedback on program effectiveness, and uses this information to refine future program selections. The feedback loop enables the system to adapt and improve its accuracy over time by comparing predicted user needs with actual user actions.
2Measurement precision
If manual intervention is required to change the operating program, then the accuracy of program selection is improved, but the ease of operation deteriorates
Solution Approach 1:
The system performs automatic program selection and adjustment without requiring manual user input. It independently analyzes user behavior patterns and autonomously configures the optimal operating program, eliminating the need for users to manually intervene in the settings process.
Solution Approach 2:
The system pre-analyzes user preferences and usage patterns in advance, preparing optimized program settings before the user actually needs them. By anticipating user needs based on historical data, the system has the appropriate program ready and waiting, eliminating delays associated with manual adjustment.
3Adaptability or versatility
If the machine learning model considers historical operating programs and user habits, then the intelligence degree of the household appliance is improved, but the device complexity deteriorates
Solution Approach 1:
The patent replaces traditional mechanical or rule-based control systems with a machine learning model. Instead of using fixed algorithms and manual programming, the system employs data-driven models that automatically learn and adapt to user behavior patterns, substituting complex computational processes for simpler physical control mechanisms.
Solution Approach 2:
The machine learning model serves multiple functions simultaneously: it analyzes user behavior, predicts future needs, optimizes program selection, and adapts to changing patterns. This single multi-functional component replaces what would otherwise require multiple separate systems for data collection, analysis, decision-making, and execution.
Data Source
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AI summary
A method and system for automatic setting of an operating program of a household appliance, and a household appliance are provided. The method includes: obtaining a current time in response to detecting that a preset trigger condition is met, where the preset trigger condition is used for triggering automatic setting of an operating program; inputting the current time into a preset machine learning model to obtain a current operating program, where the preset machine learning model is used for predicting the current operating program according to the current time and a historical operating program of the household appliance at a related time in history, and the related time is associated with the current time; and setting the household appliance to operate according to the current operating program. Through the solution of this disclosure, an operating program that meets a user requirement at the current time can be automatically set more accurately when the household appliance operates this time, thereby further improving an intelligence degree of the household appliance and user satisfaction.