Method and device for controlling air conditioner, air conditioner and storage medium
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Solution Overview
Problem
Existing air conditioner control methods do not fully utilize the adjustment efficiency of multi-dimensional parameter combinations, requiring users to manually adjust each parameter independently, which is cumbersome and reduces user experience.
Innovation Solution
A method and device for controlling an air conditioner that determines a target dimensional parameter combination based on user input and predefined weight values, utilizing linkage relationships between parameters to automatically adjust multiple dimensions simultaneously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually adjust each parameter independently to achieve desired air conditioning effects, then parameter adjustment flexibility is improved, but operation complexity increases and user experience deteriorates
Solution Approach 1:
The patent segments the complex multi-dimensional parameter adjustment into predefined parameter combinations (scenes). Each scene represents a segmented package of related parameters (temperature, humidity, air outlet settings, purification, fresh air) that work together to achieve specific air conditioning effects. Users select from these segmented combinations rather than adjusting individual parameters, resolving the contradiction between flexibility and ease of operation.
Solution Approach 2:
The system performs preliminary action by pre-configuring multiple dimensional parameter combinations before user interaction. These combinations are prepared in advance based on common air conditioning needs and scenarios. When users select a scene, the pre-configured parameter combination is immediately applied, eliminating the need for users to manually adjust each parameter and significantly improving ease of operation while maintaining adaptability.
2Manufacturing precision
If multiple dimensional parameters are adjusted independently, then control precision is improved, but adjustment efficiency deteriorates
Solution Approach 1:
The patent merges multiple independent dimensional parameters into unified parameter combinations. Instead of adjusting temperature, humidity, air outlet settings, purification, and fresh air parameters separately, the system combines them into integrated scenes. Each scene maintains the precise relationships between parameters while allowing users to adjust the entire combination with a single selection, thereby improving adjustment efficiency without sacrificing control precision.
Solution Approach 2:
The patent introduces a new dimension of control by organizing parameters into hierarchical structures. The first dimension contains individual parameters, while the second dimension contains combinations of these parameters (scenes). This dimensional transformation allows users to operate at the higher level of scenes for efficient adjustment, while the system maintains precise control over individual parameters within each scene, resolving the contradiction between precision and efficiency.
3Adaptability or versatility
If users manually configure each parameter to achieve optimal air conditioning effects, then system adaptability is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary action by pre-configuring multiple dimensional parameter combinations covering various air conditioning scenarios before user interaction. These pre-configured scenes represent optimized parameter settings for different needs (cooling, heating, drying, purification, etc.). When users select a scene, the system immediately applies the pre-configured settings, eliminating the time-consuming process of manual parameter configuration while maintaining high system adaptability to different air conditioning needs.
Solution Approach 2:
The patent creates copies of optimized parameter configurations in the form of reusable scenes. Each scene is a copied template of proven effective parameter combinations. Users can select from these copied templates rather than creating configurations from scratch each time, significantly reducing time consumption while maintaining the adaptability to achieve optimal air conditioning effects for different scenarios.
Data Source
AI summary
A method for controlling an air conditioner includes obtaining an input air conditioning demand in response to a multi-dimensional adjustment mode of the air conditioner being turned on, determining a target dimensional parameter combination from a plurality of dimensional parameter combinations according to the air conditioning demand, and controlling the air conditioner to operate according to the target dimensional parameter combination.