Motorized bedding system and application software

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Solution Overview

Problem

Users face difficulty in setting motorized bedding systems to achieve high-quality sleep due to the lack of information on optimal hardness patterns for their specific needs, especially with multi-air cell units, making it challenging to determine the right settings for improved sleep quality.

Innovation Solution

A motorized bedding system with an acquisition unit for user data, a computation unit to calculate sleep scores, and an output unit to provide recommendation settings based on user data and sleep information, allowing users to adjust the mattress hardness automatically or manually, prioritizing snoring detection mode when activated.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If users manually adjust motorized bedding settings to achieve optimal sleep quality, then sleep quality can be improved, but the complexity of operation increases and users lack information on optimal settings

Engineering Contradiction:
Improvesleep qualityVSAvoidsetting complexity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system automatically adjusts motorized bedding settings by detecting user state (awake, sleeping, snoring) and autonomously selecting optimal configurations, eliminating the need for manual user adjustment while maintaining high sleep quality

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors user state through detectors and uses this feedback to dynamically adjust bedding settings, creating a closed-loop control system that adapts to real-time user needs without requiring user intervention

Inventive Principle:
Principle #23Feedback

2Adaptability or versatility

If the system provides multiple recommendation settings based on user data, then personalized sleep optimization is achieved, but the device complexity increases

Engineering Contradiction:
Improvepersonalization capabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments users into different categories (first category and second category) based on their characteristics, and provides different recommendation strategies for each segment, simplifying the overall system logic while maintaining personalization

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system changes the parameter of recommendation generation by selecting between different algorithms or levels of personalization based on user category, allowing adaptability without requiring a completely complex system for all users

Inventive Principle:
Principle #35Parameter changes

3Ease of operation

If the system automatically adjusts bedding settings based on user state, then ease of operation is improved, but the extent of automation increases system complexity

Engineering Contradiction:
Improveautomatic adjustmentVSAvoidautomation level
Core Design Contradiction:
Ease of operationVSExtent of automation

Solution Approach 1:

The automatic adjustment function is segmented into two distinct modes (first mode and second mode) with different automation levels, allowing the system to provide ease of operation through automation while managing complexity by offering selectable automation levels

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts the level of automation based on user selection, transitioning between different operational modes that vary in automation extent, thereby balancing ease of operation with manageable system complexity

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS12171686B2Motorized bedding system and application software
Publication Date: 2024.12.24 PARAMOUNT BED CO LTD
  • US12171686B2 patent drawing
  • US12171686B2 patent drawing
  • US12171686B2 patent drawing

AI summary

A motorized bedding system includes: an acquisition unit that is capable of acquiring a setting of motorized bedding of each of users, a state of each of the users, and snoring detection information of each of the users; a computation unit that is configured to compute a sleep score based on the state of each of the users; a memory that is configured to store data including multiple sets of the setting of the motorized bedding and the sleep score associated with each of the multiple sets of the setting; and an output unit that is configured to output a recommendation setting of the motorized bedding based on the setting associated with the high-level sleep score among the multiple sleep scores stored in the memory, in which the motorized bedding system includes: a first mode where the system automatically changes the setting of the motorized bedding based on the state of each of the users; and a second mode where the system automatically changes the setting of the motorized bedding based on the snoring detection information of each of the users and, in the case where both the first mode and the second mode are activated for a certain user out of the multiple users, upon acquiring the snoring detection information of the certain user, the motorized bedding system prioritizes the second mode over the first mode for the certain user.