Air conditioner for performing power saving control, and control method therefor
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Solution Overview
Problem
Existing air conditioners struggle with ineffective power saving control due to varying user operation patterns, leading to inefficient energy consumption.
Innovation Solution
An air conditioner equipped with a detection sensor that adjusts wind strength and set temperature based on absence time and performance history, using multiple power saving learning levels to optimize power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If power saving control is performed using motion detection sensor, then power consumption is reduced, but power saving control is not effectively performed according to user operation patterns
Solution Approach 1:
The air conditioner implements feedback mechanisms by detecting user presence through motion sensors and continuously monitoring operation patterns. The system adjusts power saving control strategies based on detected absence time and learned user behaviors, creating a closed-loop control system that improves effectiveness while maintaining energy efficiency.
Solution Approach 2:
The system performs self-learning of user operation patterns and automatically adjusts power saving control parameters without requiring manual intervention. The air conditioner independently analyzes detection sensor data, determines absence time, and optimizes control strategies based on learned patterns, enabling adaptive power saving that conforms to actual user behaviors.
2Loss of energy
If multiple intermediate operation stages are used in power saving control, then energy efficiency is improved, but control complexity increases
Solution Approach 1:
The power saving control process is divided into multiple intermediate operation stages, where each stage implements specific control actions (such as adjusting wind strength, modifying set temperature) based on detected absence time. This segmentation allows gradual optimization of energy efficiency while maintaining manageable control complexity through structured stage-based implementation.
Solution Approach 2:
The system dynamically adjusts control parameters across multiple intermediate stages based on real-time detection sensor data and learned user patterns. Each stage adapts its control actions according to the current operation context and absence time, enabling flexible energy optimization without requiring overly complex static control structures.
Data Source
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AI summary
Provided is an air conditioner. The air conditioner includes a detection sensor. The air conditioner includes an air conditioning module configured to perform an air conditioning operation on a target space. The air conditioner includes a memory storing at least one instruction. The air conditioner includes at least one processor, comprising processing circuitry. At least one processor is configured to execute the at least one instruction to: detect a person in the target space using a sensor detection value of the detection sensor, and perform a power saving control operation to adjust at least one of wind strength or a set temperature of the air conditioning module, according to a power saving performing condition indicating a condition to perform a power saving control operation being satisfied, based on an absence time during which it is determined that a person is absent in the target space.