Adaptive Hybrid Personal Thermal Management System

Publication ID: 24-11857005_0010_PTD

Published: October 27, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Hybrid Personal Thermal Management System,” Published Technical Disclosure No. 24-11857005_0010_PTD, Published October 27, 2025, available at https://archive.pr1or.art/24-11857005_0010_PTD

This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,005.

Background and Problem Solved

The original hybrid personal cooling system, while effective, has limitations in terms of adaptability, user-centricity, and scalability. The new invention addresses these limitations by integrating shape-memory alloy-based thermal regulation, bio-sensing, and machine learning to create a truly personalized and autonomous thermal management system.

Novelty and Inventive Step

The new claims introduce several innovative features, including the use of shape-memory alloy-based thermal regulation, bio-sensing, and machine learning-driven thermal profiling. These advancements enable a previously unknown level of adaptability, user-centricity, and autonomy in personal thermal management, making the original invention obsolete.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of other advanced materials, such as graphene or nanomaterials, to enhance thermal conductivity and energy efficiency. The system could also be integrated with other wearable technologies, such as smart fabrics or augmented reality devices, to create a more comprehensive and immersive thermal management experience.

Potential Commercial Applications and Market

The adaptive hybrid personal cooling and heating system has vast commercial potential in industries such as construction, manufacturing, and healthcare, where workers are often exposed to extreme temperatures. The system's ability to provide unparalleled thermal comfort and energy efficiency makes it an attractive solution for companies seeking to improve worker productivity and reduce heat-related illnesses.

CPC Classifications

Section	Class	Group
A	A41	A41D13/0051
A	A41	A41D13/0053
F	F28	F28D20/0034
F	F28	F28D2020/0047

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Personal thermal management systems, wearable cooling/heating technologies, with expertise in thermal engineering, materials science, and human physiological thermal regulation

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced engineering degree, specialized in thermal systems design, familiar with phase change materials, fluid dynamics, and wearable technology integration, with working knowledge of heat transfer principles and biomechanical thermal adaptation

Obviousness Rationale

A PHOSITA would recognize the PTD's variations as straightforward extensions of the source patent's core cooling system technology. The disclosed machine learning, bio-sensing, and modular thermal node approaches represent predictable technological improvements using standard engineering techniques. The fundamental thermal management principles remain consistent, with the PTD primarily introducing algorithmic and structural optimization strategies.

Obvious Combinations & Variations

Source Patent Element

Liquid metal cooling system with phase change material for heat transfer

PTD Variation

Miniaturized thermal nodes with integrated phase-change materials and micro-scale heat exchangers

Obviousness Reasoning

Scaling and modularizing thermal transfer components represents a predictable design optimization using known miniaturization techniques in thermal engineering

Source Patent Element

Pump-based cooling system for personal thermal management

PTD Variation

Shape-memory alloy-based thermal regulation module with adaptive conductivity

Obviousness Reasoning

Substituting traditional pump mechanisms with advanced materials is a standard engineering approach for improving thermal responsiveness and system efficiency

Source Patent Element

Personal cooling system targeting heat stress reduction

PTD Variation

Machine learning algorithm generating customized thermal profiles based on physiological data

Obviousness Reasoning

Integrating computational optimization with existing thermal management systems is a predictable technological progression using standard control theory and data analysis techniques

Source Patent Element

Wearable cooling system with dynamic fluid circulation

PTD Variation

Bio-sensing module enabling real-time physiological thermal response monitoring

Obviousness Reasoning

Incorporating sensor feedback for dynamic system adjustment represents a standard control engineering approach for improving system responsiveness

Source Patent Element

Thermal management system with heat transfer components

PTD Variation

Swarm intelligence-based decentralized thermal optimization

Obviousness Reasoning

Applying distributed control algorithms to thermal systems is a known technique for improving energy efficiency and adaptive performance

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857005 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking non-obvious inventive merit. The presented technical disclosure demonstrates that the claimed thermal management system represents a predictable combination of known techniques in personal cooling technology, rendering subsequent claims obvious and unpatentable under 35 U.S.C. § 103.

Original Patent Information

Patent Number	US 11,857,005
Title	Hybrid personal cooling and heating system