Smart Garment Temperature Control With Preference Learning

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Solution Overview

Problem

Current smart garments require user intervention for temperature control, which is inconvenient during outdoor activities, and existing power management systems in smart textiles often idle when not in use, necessitating manual reactivation.

Innovation Solution

A smart garment system that learns user preferences and automatically controls heating and cooling elements using embedded sensors, a processing unit, and a power management unit, allowing for autonomous operation and efficient power usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual control buttons or mobile device input is used for temperature settings, then user control over heating/cooling is achieved, but user convenience deteriorates during outdoor activities

Engineering Contradiction:
Improveuser convenienceVSAvoidautomatic temperature control
Core Design Contradiction:
Ease of operationVSExtent of automation

Solution Approach 1:

The system enables self-service by automatically detecting user temperature preferences through sensors and adjusting heating/cooling settings without requiring manual user input. The garment learns and adapts to user preferences autonomously, eliminating the need for users to operate buttons or mobile devices during activities.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring user physiological data (such as body temperature, heart rate) and environmental conditions, then automatically adjusting heating or cooling element settings based on this real-time feedback to maintain optimal comfort levels.

Inventive Principle:
Principle #23Feedback

2Ease of operation

If power bank is kept idle for short periods, then power management simplicity is maintained, but power availability deteriorates requiring manual reactivation

Engineering Contradiction:
Improvepower management simplicityVSAvoidpower availability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system performs preliminary action by pre-charging the power bank during idle periods before it is needed. The power management unit monitors usage patterns and ensures the power bank is recharged and ready for the next heating or cooling cycle, eliminating the need for manual reactivation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The power management system enables self-service by automatically managing power bank charging cycles based on predicted usage patterns. The system monitors when power will be needed and initiates charging in advance, maintaining continuous power availability without requiring user intervention.

Inventive Principle:
Principle #25Self-service

3Temperature

If heating elements receive continuous power, then temperature maintenance is improved, but energy consumption increases

Engineering Contradiction:
Improvetemperature maintenanceVSAvoidpower consumption
Core Design Contradiction:
TemperatureVSUse of energy by moving object

Solution Approach 1:

The system applies periodic action by delivering power to heating elements in controlled cycles rather than continuously. The power management unit monitors temperature levels and activates heating only when and when needed, using pulse-width modulation or cyclic heating patterns to maintain temperature while minimizing energy consumption during stable conditions.

Inventive Principle:
Principle #19Periodic action

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

Enables users to focus on activities without manually adjusting temperature settings and extends battery life by optimizing power consumption based on user behavior and environmental data.

Implementation Method 1

heating elements such as heat seat

Methodology Applied
Scientific EffectJoule heating: Joule Heating

Implementation Method 2

cooling elements such as air conditioners

Methodology Applied
Scientific EffectThermal energy removal: Cooling

Data Source

PatentUS11561561B2System and method of machine learning and autonomous execution on user preferences for use in garments
Publication Date: 2023.01.24 POLAR SEAL LTD
  • US11561561B2 patent drawing
  • US11561561B2 patent drawing
  • US11561561B2 patent drawing

AI summary

The present invention relates to a system with active learning and execution of user's preference functionalities for use in a garment. The present system includes a sensor module, an optional user input panel and/or interface, a printed circuit board, a power source and an output. In an event that a user of the present system voluntarily changes the output setting during the operation of the system, the system performs an active learning action to execute the output setting initiated by the user over a passive learning action triggered by a change in sensor data with respect to the changing environment. In other event, the present system performs passive learning action with respect to the changing environment and also any comparative data from similar user of a particular instance. The present invention also relates to a power management unit and how to use the same in a garment.