Air Conditioner Heating Triggered by Wearable Sleep Detection
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Solution Overview
Problem
Conventional air conditioner control methods require manual setting of turn-on times, which can lead to inefficient heating and increased power consumption, as they do not account for the user's sleep state or optimal heating timing.
Innovation Solution
A method and device that utilize sensors in wearable devices to detect changes in sleep states, such as transitions from deep to light sleep, to automatically turn on the air conditioner for heating at the appropriate time, determining the optimal timing based on historical sleep data to ensure room temperature is elevated when the user wakes up.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual timing setting is used to turn on the air conditioner, then the heating function can be provided before the user wakes up, but the operation complexity increases and energy efficiency decreases
Solution Approach 1:
The system automatically detects the user's sleep state through sensors and autonomously determines the optimal turn-on time for heating, eliminating the need for manual timing settings. The air conditioner serves itself by using real-time physiological data to make intelligent control decisions, thereby simplifying operation and optimizing energy consumption.
Solution Approach 2:
The system continuously monitors the user's sleep state through sensors and uses this feedback to dynamically adjust the heating control strategy. By detecting transitions from deep sleep to light sleep, the system receives real-time feedback about user conditions and optimizes the turn-on timing accordingly, improving both operational simplicity and energy efficiency.
2Temperature
If the air conditioner is turned on early for heating, then the room temperature can be elevated before the user wakes up, but the energy consumption increases
Solution Approach 1:
The system performs preliminary heating action by turning on the air conditioner at the optimal time detected through sleep state monitoring. Instead of fixed early timing, the preliminary action is precisely timed based on when the user transitions from deep to light sleep, ensuring the room is warmed just in time without unnecessary early energy consumption.
Solution Approach 2:
The system changes the control parameter from fixed time-based scheduling to dynamic state-based scheduling. By monitoring physiological parameters and sleep state transitions, the system adjusts the turn-on timing parameter dynamically, achieving optimal temperature elevation with minimized energy consumption.
3Adaptability or versatility
If fixed timing is used for turning on the air conditioner, then the heating schedule is simple to implement, but it does not adapt to individual sleep patterns
Solution Approach 1:
The control system transitions from static fixed timing to dynamic adaptive timing. The system continuously monitors sleep state parameters and adjusts the turn-on time dynamically based on detected transitions from deep to light sleep, enabling adaptation to individual sleep patterns while maintaining manageable system complexity through sensor-based automation.
Data Source
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AI summary
The present disclosure provides a method for turning on an air conditioner and a device for turning on an air conditioner, belonging to the field of smart home. The method comprises: acquiring (202, 302, 402) a sensor parameter collected by a sensor in a wearable device; determining (204, 404) a physiological parameter based on the sensor parameter; determining (206, 310, 406) a change in a sleep state of a user corresponding to the wearable device based on the physiological parameter; detecting (208, 312, 408) whether the change in the sleep state is in conformity with a predetermined condition; and turning (210, 314) on the air conditioner for heating when the change in the sleep state is detected to be in conformity with the predetermined condition.