Adaptable Load Assessment Methodology for Diverse Industries

Publication ID: 24-11857838_0002_PTD

Published: October 28, 2025

Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Adaptable Load Assessment Methodology for Diverse Industries,” Published Technical Disclosure No. 24-11857838_0002_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857838_0002_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. 11,857,838.

Summary of the Inventive Concept

A novel approach to assessing and quantifying load and fatigue in various industries, leveraging the core technology of the original patent to provide actionable insights and optimize performance.

Background and Problem Solved

The original patent addressed exercise fatigue assessment, but its underlying methodology has broader applications. This inventive concept expands upon the original patent's limitations by applying the load assessment principles to diverse industries, such as urban air quality, agriculture, equipment maintenance, energy storage, and environmental conservation.

Detailed Description of the Inventive Concept

The inventive concept comprises a system and method for calculating chronic and acute loads in various industries. The system collects relevant data, such as air quality, weather, equipment performance, energy usage, or environmental metrics. The method then applies the load computation model, adapted from the original patent, to calculate the chronic and acute loads. The training stress balance (TSB) is determined as the difference between the chronic and acute loads, providing a quantitative assessment of the industry-specific load. This TSB can be used to optimize performance, predict and prevent failures, or develop targeted conservation strategies.

Novelty and Inventive Step

The novelty of this inventive concept lies in its adaptation of the original patent's load assessment methodology to diverse industries, providing a new and non-obvious approach to quantifying and managing load and fatigue. The inventive step is the recognition of the broader applicability of the load assessment principles and the development of a generalized framework for industry-agnostic load assessment.

Alternative Embodiments and Variations

Alternative embodiments of this inventive concept could include the integration of machine learning algorithms to improve the accuracy of load predictions, the development of industry-specific load computation models, or the creation of cloud-based platforms for data collection and analysis.

Potential Commercial Applications and Market

This inventive concept has significant commercial potential in various industries, including environmental monitoring, agriculture, industrial maintenance, energy management, and conservation. The market demand for data-driven solutions to optimize performance and mitigate risks is substantial, and this inventive concept is well-positioned to capitalize on these opportunities.

CPC Classifications

Section	Class	Group
A	A63	A63B24/0062
A	A61	A61B5/02438
A	A61	A61B5/1112
A	A61	A61B5/1118
G	G16	G16H50/30
A	A61	A61B2503/10
A	A63	A63B2024/0065
A	A63	A63B2220/62
A	A63	A63B2230/062

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Physiological monitoring and performance assessment technologies, spanning exercise science, biometric data analysis, and computational health monitoring systems with expertise in heart rate variability, load computation models, and multi-parameter physiological tracking

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced knowledge in biomedical engineering, data science, and exercise physiology, capable of understanding complex algorithmic modeling of physiological stress and load, with proficiency in sensor-based data collection and computational analysis techniques

Obviousness Rationale

A PHOSITA would recognize the fundamental load computation methodology disclosed in the source patent as fundamentally adaptable across multiple domains, with the core principles of chronic and acute load tracking being universally applicable beyond exercise physiology. The generalized approach of calculating training stress balance through differential load measurement represents a transferable computational technique that could be readily extended to other complex systems with measurable performance parameters. The PTD demonstrates a predictable variation by applying the established algorithmic framework to alternative domains like environmental monitoring, equipment performance, and resource management.

Obvious Combinations & Variations

Source Patent Element

Exercise load computation model using heart rate parameters and altitude coefficients

PTD Variation

Adapting load computation model to air quality monitoring using sensor network data

Obviousness Reasoning

Known technique of generalizing computational models across domains with similar mathematical structures, representing a predictable engineering adaptation

Source Patent Element

Training stress balance calculation method using chronic and acute load differences

PTD Variation

Applying TSB calculation to equipment performance prediction and maintenance scheduling

Obviousness Reasoning

Finite identified solution for performance tracking that would be obvious to apply across systems with quantifiable load metrics

Source Patent Element

Algorithmic approach for determining fatigue levels based on load parameters

PTD Variation

Extending fatigue assessment methodology to crop yield optimization and environmental stress monitoring

Obviousness Reasoning

Predictable result of translating physiological load computation principles to alternative complex systems with measurable stress indicators

Source Patent Element

Computational model incorporating multiple influence coefficients

PTD Variation

Developing industry-specific load computation models with tailored coefficient parameters

Obviousness Reasoning

Design choice representing standard engineering practice of parameterizing generalized models for specific application contexts

Source Patent Element

Heart rate-based exercise load tracking methodology

PTD Variation

Integrating machine learning algorithms to enhance load prediction accuracy across domains

Obviousness Reasoning

Known improvement technique of applying advanced computational methods to enhance existing algorithmic frameworks

35 U.S.C. § 103 Summary: The disclosed published technical disclosure (PTD) renders obvious any patent claims directed to load computation methodologies across diverse domains, by demonstrating the fundamental transferability of the load assessment approach originally disclosed in US Patent 11857838. A person of ordinary skill would recognize the disclosed variations as predictable extensions of the source patent's core computational principles, representing an obvious combination of known techniques within the art of performance and stress monitoring systems.

Original Patent Information

Patent Number	US 11,857,838
Title	Method and device for assessing exercise fatigue
Assignee(s)	Guangdong COROS Sports Technology Joint Stock Company