Bed system having controller for an air mattress
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Solution Overview
Problem
Existing bed systems lack the ability to automatically adapt to user sleep habits and preferences, failing to provide personalized comfort and control over connected home devices based on user presence and sleep intentions.
Innovation Solution
A bed system equipped with a sensor and data processing device that detects user presence and sleep intentions, transmitting commands to peripheral controllers to adjust settings such as temperature, lighting, and other home automation devices, while learning user sleep patterns to optimize environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a bed system includes sensors and data processing devices to detect user presence and sleep intentions, then the adaptability and user comfort are improved, but the device complexity increases
Solution Approach 1:
The bed system integrates multiple functions into a single unified platform. The control circuit serves both as a sensor hub for detecting user presence, weight, and sleep intentions, and as a control center for managing peripheral devices. This multi-functionality approach allows the system to adapt to user sleep habits without proportionally increasing device complexity, as one core component handles diverse tasks.
Solution Approach 2:
The bed system automatically learns and adapts to user sleep patterns without requiring manual programming or complex user configuration. The control circuit analyzes sensor data to determine user presence and sleep intentions, then autonomously adjusts peripheral devices accordingly. This self-service capability improves adaptability while minimizing the need for complex user interfaces or manual setup procedures.
2Ease of operation
If the bed system automatically controls peripheral devices based on detected sleep intentions, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The system performs automatic control of peripheral devices through self-service mechanisms. The control circuit continuously monitors sensor inputs, determines user sleep intentions based on predefined criteria, and autonomously adjusts lighting, temperature, and other environmental factors without requiring user intervention. This eliminates the need for complex manual operation while keeping the control logic centralized and manageable.
Solution Approach 2:
The bed system implements a feedback loop where sensor data from the mattress is continuously analyzed by the control circuit to determine user state and intentions. Based on this feedback, the system automatically adjusts peripheral devices and continues monitoring to ensure the desired effect is achieved. This closed-loop control improves ease of operation by making the system responsive and adaptive without requiring complex user input mechanisms.
3Measurement precision
If the system processes and analyzes sensor readings to determine user sleep intentions, then the measurement precision is improved, but the loss of time increases
Solution Approach 1:
The control circuit is pre-programmed with criteria and algorithms for determining user sleep intentions based on sensor readings. Weight thresholds, presence detection parameters, and sleep pattern recognition rules are established in advance, allowing the system to quickly compare real-time sensor data against predefined standards. This preliminary preparation enables fast decision-making without requiring complex real-time analysis, thus maintaining measurement precision while minimizing processing time.
Solution Approach 2:
The system processes only the essential sensor readings necessary to determine user presence and sleep intentions, rather than analyzing all possible data parameters. By focusing on critical measurements such as weight changes, pressure distribution patterns, and basic motion detection, the system achieves sufficient measurement precision for sleep detection while avoiding the time cost of comprehensive data analysis. This selective processing approach balances accuracy with efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances user comfort by adapting to sleep habits and controlling connected devices, improving sleep quality and home automation efficiency.
Implementation Method 1
The sensor is a pressure sensor in fluid communication with the air chamber; and the feature of the mattress is air pressure
Data Source
AI summary
A system can include a bed having a mattress, a sensor, and the data processing device. The sensor is configured to sense a feature of the mattress and transmit readings to a data processing device. The data processing device includes a processor and is configured to receive the readings from the sensor and determine if the readings i) indicate a user presence on the mattress and ii) indicate the user intends to sleep. The data processing device is configured to transmit a command to a peripheral controller responsive to determining that the readings i) indicate user presence on the mattress and ii) indicate the user intends to sleep.