Voice-Controlled Air Conditioning for Personalized Cooling
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Solution Overview
Problem
Conventional air conditioners require users to physically interact with buttons on the device or a remote controller, which is inconvenient, and do not adapt to individual cooling tendencies, leading to suboptimal usability.
Innovation Solution
An air conditioner system that uses voice commands to determine a user's cooling preference based on usage history and environmental data, transmitting this information to an external server to generate control commands for temperature, mode, and wind strength, allowing for voice-controlled operation without additional devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If buttons on the air conditioner main body or remote controller are used for operation, then the air conditioner can be controlled, but the user needs to physically reach the device or find the remote controller which is inconvenient
Solution Approach 1:
The patent replaces the mechanical button-pressing system with a voice recognition system. The air conditioner includes a voice input unit that receives user commands through speech, and a processor that recognizes and executes these commands, eliminating the need for physical contact with buttons or remote controllers.
Solution Approach 2:
The patent introduces voice recognition technology as an intermediary between the user and the air conditioner control system. The voice input unit and processor act as mediators that translate spoken commands into control actions, providing a non-contact interface that improves ease of operation.
2Adaptability or versatility
If the air conditioner is operated with fixed temperature and wind strength settings, then the control system is simple, but it does not consider individual user cooling tendencies leading to deterioration in usability
Solution Approach 1:
The patent implements a feedback mechanism where the processor analyzes user voice commands and usage patterns to learn and adapt to individual cooling preferences. The system continuously receives input about user satisfaction and adjusts temperature and wind strength settings accordingly, enabling personalized control without requiring complex manual configuration.
Solution Approach 2:
The air conditioner performs self-adjustment based on learned user preferences. The processor automatically modifies operating parameters according to accumulated usage data and explicit user feedback, allowing the system to serve itself in optimizing performance without requiring users to manually program complex preferences.
Data Source
AI summary
The present disclosure provides an air conditioner and a control method thereof. The control method of the air conditioner is capable of acquiring a voice of a user including a state of the user, transmitting the voice of the user to an external server, receiving, from the external server, a control command acquired by using a cooling tendency of the user and the state of the user determined on the basis of a usage history of the air conditioner, and controlling the air conditioner on the basis of the control command. In particular, at least a part of a method of acquiring a control command on the basis of a cooling tendency of a user may use an artificial intelligence model trained according to at least one of machine learning, a neural network, and deep learning algorithms.