Bed having logic controller
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Solution Overview
Problem
Current bed systems lack the ability to autonomously adjust environmental settings based on user sleep patterns and habits, often requiring manual intervention or simplistic automation that does not account for nuanced sleep behaviors.
Innovation Solution
A bed system equipped with a logic controller and sensors that detect user presence and sleep intentions, transmitting commands to peripheral devices to adjust settings such as lighting, temperature, and firmness, using machine learning to model user sleep behavior and automate household automation scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a logic controller with machine learning is implemented to learn user sleep patterns, then the adaptability and automation of the bed system is improved, but the device complexity increases
Solution Approach 1:
The logic controller serves multiple functions: it controls mattress firmness, adjusts environmental settings (lighting, temperature), monitors sleep patterns, and interfaces with various peripheral devices. This multi-functionality approach allows one complex component to handle diverse tasks, improving adaptability while managing overall system complexity through consolidation rather than proliferation of separate dedicated devices
Solution Approach 2:
The system employs machine learning algorithms that automatically learn and adapt to user sleep patterns without manual programming or intervention. The logic controller autonomously analyzes sensor data, identifies patterns, and adjusts bed settings automatically, enabling the system to serve itself in terms of adaptation and configuration, thereby improving versatility without requiring proportional increases in operational complexity
2Measurement precision
If sensors and data processing devices are added to detect user presence and sleep intentions, then the measurement precision and automation capability is improved, but the device complexity increases
Solution Approach 1:
The patent integrates multiple sensing capabilities (pressure sensors, motion detectors, temperature sensors) and data processing functions into a unified logic controller system. Rather than having separate dedicated devices for each sensing and control function, they are merged into a single intelligent controller that processes all sensor inputs and executes appropriate responses, thereby improving measurement precision while containing device complexity through integration
Solution Approach 2:
The logic controller acts as an intermediary between the physical sensors and the actuators/peripheral devices. It receives raw sensor data, processes it through machine learning algorithms to determine user intent, and translates this into appropriate control commands. This intermediary role allows the system to achieve high measurement precision and automation without requiring direct complex connections between every sensor and every actuator
3Ease of operation
If the system automatically adjusts environmental settings based on learned sleep patterns, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-learning user sleep patterns and preferences during initial usage periods. The logic controller accumulates data about user behavior, establishes patterns, and stores this information for future automatic execution. This preliminary learning phase enables the system to automatically adjust settings without user intervention during actual sleep times, improving ease of operation while concentrating the complexity in the initial setup and learning phase rather than in ongoing operation
Data Source
AI summary
A system for initializing home-automation device, the system can include server-hardware including a processor and computer memory, the serve-hardware configured to receive point-of-sale data specifying a specified bed-controller and specifying a specified peripheral-controller and transmit setup data to a computing device. The computing device including a processor and computer memory, the computing device configured to receive the setup data, and cause, based on the setup data, the specified bed-controller to pair with the specified peripheral-controller.