Published Technical Disclosure Archive

AI-Powered Thermal Regulation System for Extreme Environments

Publication ID: 24-11857005_0005_PTD
Published: October 27, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Powered Thermal Regulation System for Extreme Environments,” Published Technical Disclosure No. 24-11857005_0005_PTD, Published October 27, 2025, available at https://archive.pr1or.art/24-11857005_0005_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 and heating system, while effective, has limitations in extreme heat environments, where high stress poses significant health risks to workers. This invention addresses these limitations by introducing a next-generation thermoregulation system that leverages machine learning and advanced materials to provide personalized thermal comfort and energy efficiency.

Novelty and Inventive Step

The new claims introduce the concept of adaptive thermoregulation, which is not present in the original patent. The integration of machine learning algorithms and advanced materials enables real-time optimization of thermal comfort and energy efficiency, providing a significant improvement over the original invention.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include variations in the type of liquid metal used, the design of the cooling tubing coil, or the implementation of the machine learning algorithm. Additionally, the system could be integrated with other wearable technologies, such as health monitoring systems or augmented reality devices.

Potential Commercial Applications and Market

The adaptive thermoregulation system has significant commercial potential in various industries, including construction, manufacturing, and emergency response. The system's ability to provide personalized thermal comfort and energy efficiency in extreme environments makes it an attractive solution for workers in these industries. Furthermore, the system's modular design and scalability make it suitable for a wide range of applications, from individual wear to group wear and industrial settings.

CPC Classifications

SectionClassGroup
A A41 A41D13/0051
A A41 A41D13/0053
F F28 F28D20/0034
F F28 F28D2020/0047

Field of Art

Personal thermal management systems, wearable cooling technologies, and thermal engineering with a focus on adaptive personal cooling devices for extreme environments

Person of Ordinary Skill (PHOSITA) Profile

A thermal engineering professional with expertise in heat transfer, materials science, wearable technologies, and control systems, typically holding a master's or PhD in mechanical engineering, with experience in thermal management design and adaptive cooling technologies

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning and adaptive control systems with the existing liquid metal cooling technology represents a predictable extension of the source patent's core thermal management principles. The fundamental heat transfer mechanisms and liquid metal cooling approach remain consistent, with the machine learning algorithms providing an incremental improvement in system optimization and performance. The technical challenges of implementing such adaptive control are well-understood within the field of thermal engineering and wearable technologies.

Obvious Combinations & Variations

Source Patent Element
Hybrid personal cooling system using liquid metal as a dynamic fluid for heat transfer
PTD Variation
Adding machine learning algorithms to dynamically adjust cooling parameters based on real-time environmental and physiological data
Obviousness Reasoning
Adaptive control systems are a known technique in thermal management, and applying machine learning to optimize existing cooling technologies would be an obvious design improvement for a PHOSITA seeking enhanced performance and energy efficiency
Source Patent Element
Cooling system with phase change materials and liquid metal fluid
PTD Variation
Integrating thermal energy harvesting module to convert environmental thermal energy into electrical power for the cooler
Obviousness Reasoning
Energy harvesting techniques are well-established in wearable technologies, and a PHOSITA would recognize the predictable benefit of extending power autonomy for personal cooling systems
Source Patent Element
Personal cooling system designed for extreme heat environments
PTD Variation
Developing a bi-directional thermoregulation system capable of both cooling and heating
Obviousness Reasoning
Expanding thermal functionality to include heating is a logical and predictable design evolution, utilizing the same core liquid metal heat transfer principles with minimal technical modification
Source Patent Element
Individual personal cooling system design
PTD Variation
Creating a modular, networked thermoregulation system for coordinated group thermal management
Obviousness Reasoning
Scaling personal cooling technologies to group applications is an obvious extension, leveraging existing control system architectures and thermal management principles
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857005 and the disclosed variations, a person having ordinary skill in the art would find the claimed adaptive thermoregulation technologies obvious and anticipated, as the technical modifications represent predictable combinations of known thermal management techniques with incremental improvements in control system design and functionality.

Original Patent Information

Patent NumberUS 11,857,005
TitleHybrid personal cooling and heating system