Appliance Mode Switching for Sleep State Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional household electrical appliances lack an efficient method to automatically switch to silent mode based on user sleep states, potentially disrupting sleep quality due to noise.
Innovation Solution
A method and device that detect user sleep states through wearable devices, wireless access point operation, or noise levels, and switch the appliance to silent mode, optionally adjusting fan speeds based on sleep quality and air quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the household electrical appliance operates in normal mode, then the cooling or air circulation effect is maintained, but noise is generated that may disrupt user sleep
Solution Approach 1:
The system performs preliminary detection of user sleep state through wearable devices, wireless access point operation patterns, or noise level sensing before switching modes. This allows the appliance to proactively transition to silent mode in advance, preventing noise disruption to sleep quality while maintaining normal operation during wakeful periods
Solution Approach 2:
The system continuously monitors feedback signals indicating user sleep state (from wearable devices, access point activity, or environmental noise levels) and dynamically adjusts the operation mode accordingly. When sleep state is detected, the system switches to silent mode; when wakeful state is detected, it returns to normal mode, creating a closed-loop control that resolves the contradiction between noise generation and sleep quality protection
2Object-affected harmful factors
If the appliance switches to silent mode, then noise is reduced for better sleep, but the cooling or air circulation effectiveness may be compromised
Solution Approach 1:
The system dynamically adjusts fan speeds based on detected sleep quality and air quality conditions. During sleep, the fan operates at reduced speeds to minimize noise while still providing adequate air circulation. The system can adjust speeds in real-time based on feedback from sleep quality monitoring and air quality sensors, optimizing the balance between noise reduction and cooling effectiveness
Solution Approach 2:
The system changes operational parameters (fan speed, motor power) when transitioning between normal and silent modes. In silent mode, parameters are adjusted to reduce noise output while maintaining sufficient cooling function. The system can modify these parameters dynamically based on detected conditions, allowing flexible optimization of the trade-off between noise and cooling effectiveness
3Ease of operation
If manual mode switching is used, then the user has control over operation mode, but the system cannot automatically adapt to user sleep states
Solution Approach 1:
The system employs multiple detection methods that can serve different functions: wearable devices primarily detect sleep state but can also monitor activity levels; wireless access points detect network activity patterns that indicate user presence and sleep state while also serving their primary networking function; noise sensors detect environmental noise while also monitoring appliance performance. This multi-functionality reduces the need for dedicated detection hardware, managing complexity while enabling automatic adaptation
Data Source
AI summary
A method for a household electrical appliance to perform mode switching includes detecting whether a user is in a sleeping state, switching a current operation mode to a silent mode if the user is in the sleeping state, and operating in the silent mode.