Detergent recommendation method and equipment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Intelligent washing machines face issues with users selecting inappropriate detergents, leading to clothing damage and residual detergent due to incomplete rinsing, as different washing programs require specific detergents for optimal performance.
Innovation Solution
A detergent recommendation method and equipment that tracks usage numbers for various washing programs, selects the most frequently used programs, and pushes prompt information about corresponding detergents to users, facilitating the use of suitable detergents and preventing adverse effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users select detergents without guidance, then they have freedom of choice, but clothing damage and health risks occur due to inappropriate detergent selection
Solution Approach 1:
The system collects usage data of washing programs and provides feedback to users by recommending appropriate detergents based on their washing habits, creating a closed-loop system that improves washing quality and prevents damage
Solution Approach 2:
The system automatically analyzes user washing patterns and generates detergent recommendations without requiring user input, enabling the system to serve itself in providing personalized guidance
2Adaptability or versatility
If multiple washing programs are offered, then washing versatility is improved, but detergent selection complexity increases
Solution Approach 1:
The system serves multiple functions by simultaneously tracking washing program usage, analyzing user preferences, and providing detergent recommendations, consolidating what would otherwise be separate complex tasks into a unified solution
Solution Approach 2:
The system acts as an intermediary between diverse washing programs and detergent selection, translating program characteristics into simplified detergent recommendations that reduce selection complexity
3Loss of information
If detergent recommendations are provided for all washing programs, then information completeness is improved, but information overload occurs
Solution Approach 1:
The system extracts only the most relevant detergent recommendations based on the user's most frequently used washing programs, filtering out unnecessary information while retaining essential guidance
Solution Approach 2:
The system provides partial information by focusing on top N most used washing programs rather than all programs, achieving sufficient guidance without overwhelming the user with complete information
Data Source
AI summary
The present disclosure belongs to the technical field of smart homes, and particularly relates to a detergent recommendation method and equipment. The detergent recommendation method of the present disclosure includes: obtaining usage numbers respectively corresponding to various types of washing programs used by a user where the various types of washing programs respectively correspond to different types of detergents, selecting N types of washing programs with a maximum usage number from various types of washing programs according to the usage numbers, and pushing a prompt information of detergents respectively corresponding to the N types of the washing programs to the user, and can preferentially recommend the detergent suitable for the washing program with higher operating frequency to the user based on the usage number of the user using different washing programs.