Hardware sensor system for controlling sleep environment
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Solution Overview
Problem
Current sleep monitoring systems do not effectively integrate with Internet of Things (IoT) devices to provide real-time adjustments for optimal sleep quality, failing to utilize unique circadian rhythms and environmental data for personalized sleep enhancement.
Innovation Solution
A sleep monitoring system that includes sensors, a receiver, and a server, enabling integration with IoT devices to adjust bed position, temperature, and environmental conditions based on sleep analytics, using a DIN connector for power and command interface, allowing voice control through devices like Amazon's Alexa or Google Home.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sleep monitoring systems integrate with IoT devices for real-time adjustments, then sleep quality is improved, but device complexity increases
Solution Approach 1:
The system divides functionality into separate modules: sensors for data collection, a receiver for processing, and IoT devices for execution. This segmentation allows each component to perform its specific function independently, improving overall system reliability while making the complexity manageable through modular design.
Solution Approach 2:
The patent introduces a receiver as an intermediary device that bridges the gap between sensors and IoT devices. This mediator processes sensor data and translates it into commands for IoT devices, reducing the complexity burden on individual components while enabling real-time sleep quality adjustments.
2Measurement precision
If multiple sensors and IoT devices are integrated for personalized sleep enhancement, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensors (motion, temperature, humidity) into a unified monitoring system that collects various sleep parameters simultaneously. This merging approach improves measurement precision by capturing comprehensive sleep data while centralizing processing through a single receiver unit, thereby managing system complexity.
3Reliability
If real-time bed position and environmental adjustments are made based on sleep analytics, then sleep quality is improved, but ease of operation decreases
Solution Approach 1:
The system implements self-service functionality by automatically analyzing sleep data and adjusting bed position and environmental conditions without requiring manual user intervention. The sensors continuously monitor sleep parameters, and the receiver automatically triggers appropriate IoT devices to optimize sleep conditions, thereby maintaining high sleep quality while simplifying user interaction.
Solution Approach 2:
The patent establishes a feedback loop where sensors continuously monitor sleep parameters, the receiver processes this data in real-time, and adjustments are made based on the analyzed information. This closed-loop feedback system enables automatic optimization of sleep conditions without requiring complex manual control from the user.
Data Source
AI summary
A sleep sensor system comprising a sensor to collect movement data from a sleeper on an adjustable bed, a receiver to send movement data from the sensor to a server. The sleep sensor system further comprising the receiver to receive command data from the server, a bed controller to transmit bed movement command data to the adjustable bed, to cause the adjustable bed to alter one or more settings, and an IoT controller to transmit IoT command data to an IoT device to cause the IoT device to take an action.