AI Air Conditioner Setting Patterns for Individual Comfort Control
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Solution Overview
Problem
Existing air conditioning systems struggle to provide individual comfort to users as comfort levels vary significantly among individuals, even in the same environment conditions, limiting the effectiveness of Predicted Mean Vote (PMV)-based control methods.
Innovation Solution
An air conditioner with an input interface, communication interface, and processor that uses a machine learning model to adjust settings based on user feedback and environment information, generating a main or sub-setting pattern to optimize comfort by transmitting changed setting values and environment information to a server, which calculates similarity to determine the appropriate pattern for operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If PMV-based control is used to operate the air conditioner based on average comfort conditions, then the system can be simplified and energy efficiency is improved, but the ability to provide individual comfort to each user deteriorates
Solution Approach 1:
The patent segments the control system into two distinct modes: PMV-based control for average comfort conditions and AI-based control for individual user preferences. This segmentation allows the system to switch between simplified operation and personalized adaptation, resolving the contradiction between system simplicity and individual adaptability.
Solution Approach 2:
The system dynamically switches between PMV-based control and AI-based control modes based on user selection and environmental conditions. This dynamic adaptability enables the system to provide individual comfort when needed while maintaining simplicity during standard operation, effectively resolving the contradiction between adaptability and complexity.
2Measurement precision
If PMV-based control operates the air conditioner based on average conditions, then energy consumption is reduced, but the precision of comfort control for individual users deteriorates
Solution Approach 1:
The patent applies partial action by implementing AI-based control only when users specifically select personalized comfort mode, rather than continuously. This allows high-precision individual comfort control to be available when needed while avoiding the continuous energy consumption that would result from always operating in AI mode, thus resolving the contradiction between precision and energy usage.
3Adaptability or versatility
If the air conditioner uses a single main setting pattern for all users, then the system complexity is reduced, but the ability to respond to individual user preferences and momentary environmental changes deteriorates
Solution Approach 1:
The patent implements a nested structure where sub-setting patterns (individual user preferences) are contained within the main setting pattern framework. The AI model generates personalized sub-patterns that nest within the overall system architecture, allowing individual customization without requiring a complete redesign of the control system, thus resolving the contradiction between adaptability and complexity.
Data Source
AI summary
Disclosed are an air conditioner, an air conditioning system, and a control method thereof. The air conditioner includes an input interface, a communication interface configured to communicate with a server, and a processor configured to receive a main setting pattern from the server and operate according to the received main setting pattern, based on a setting value changing, transmit the changed setting value and first environment information at the time when the setting value is changed to the server, based on receiving a selection of an artificial intelligence control operation from a user, transmit current second environment information to the server, control the communication interface to receive the main setting pattern or a sub-setting pattern corresponding to the changed setting value from the server based on the first environment information and the second environment information, and operate according to the received main setting pattern or the received sub-setting pattern.