Adaptive Environmental Quality System

Publication ID: 24-11857692_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Environmental Quality System,” Published Technical Disclosure No. 24-11857692_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857692_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. 11,857,692.

Summary of the Inventive Concept

A next-generation environmental quality system that integrates AI, IoT, and modular luminaires to provide real-time, adaptive, and holistic management of environmental quality parameters.

Background and Problem Solved

The original patent's tunable output irradiance system, while innovative, is limited by its fixed spectral responses and lack of real-time adaptability. The new inventive concept addresses these limitations by introducing AI-driven optimization, modular interchangeability, and IoT connectivity to provide a future-proof and comprehensive environmental quality management system.

Detailed Description of the Inventive Concept

The new inventive concept comprises a neural network-based controller that integrates with multiple luminaires to provide adaptive spectrum response based on real-time environmental data and machine learning algorithms. The system features modular, interchangeable luminaires with distinct spectral responses, allowing for seamless upgrades and customization. A cloud-based platform enables remote monitoring and control of environmental quality parameters, utilizing artificial intelligence to predict and adapt to changing environmental conditions. The system can be expanded to form a network of interconnected environmental quality systems, sharing real-time data to optimize environmental quality across multiple locations. Additionally, the system can integrate non-UV-based technologies for comprehensive environmental quality management.

Novelty and Inventive Step

The new inventive concept's novelty lies in its integration of AI, IoT, and modular luminaires to provide real-time adaptability and holistic environmental quality management. The inventive step is the introduction of a neural network-based controller that optimizes tunable irradiance outputs based on real-time environmental data and machine learning algorithms.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different AI algorithms, varying modular luminaire designs, or integration with other environmental quality parameters such as air quality or water quality monitoring. Variations could also include different communication protocols for IoT connectivity or different cloud-based platform architectures.

Potential Commercial Applications and Market

The new inventive concept has significant commercial potential in various industries, including healthcare, hospitality, education, and commercial real estate. The system's ability to provide real-time, adaptive, and holistic environmental quality management makes it an attractive solution for businesses and organizations seeking to improve indoor air quality, reduce energy consumption, and enhance occupant well-being.

CPC Classifications

SectionClassGroup
A A61 A61L2/24
A A01 A01G7/045
A A61 A61L2/0047
A A61 A61L9/205
G G05 G05B13/027
H H05 H05B47/105
A A61 A61L2209/111
A A61 A61L2209/12

Field of Art

Environmental quality management systems, focusing on UV irradiation technologies, sensor integration, and adaptive environmental control systems with expertise in photobiology, IoT sensor networks, and machine learning-based environmental monitoring

Person of Ordinary Skill (PHOSITA) Profile

A multidisciplinary engineer with advanced degrees in environmental engineering, photonics, or electrical engineering, possessing knowledge of UV spectrum technologies, sensor integration, machine learning algorithms, and adaptive control systems

Obviousness Rationale

A PHOSITA would recognize that the PTD's neural network-based adaptive irradiance control represents an incremental technological advancement over the source patent's tunable UV spectrum system. The integration of AI, IoT, and modular luminaire design follows naturally from the source patent's foundational concepts of dynamic environmental quality management. The proposed variations represent predictable extensions of existing technological capabilities in sensor-driven environmental control systems.

Obvious Combinations & Variations

Source Patent Element
Multiple UV spectrum illuminator groups with variable irradiation outputs
PTD Variation
Neural network-based controller for dynamically adjusting luminaire spectral responses
Obviousness Reasoning
Implementing machine learning to optimize existing multi-spectrum illumination is a predictable technological progression using known control system techniques
Source Patent Element
Environmental sensors for monitoring conditions
PTD Variation
Cloud-based IoT platform for remote monitoring and AI-driven environmental adaptation
Obviousness Reasoning
Extending sensor-based monitoring to networked, intelligent systems is an obvious technological evolution in environmental control technologies
Source Patent Element
UV spectrum-based environmental quality improvement system
PTD Variation
Hybrid system integrating UV and non-UV technologies for comprehensive environmental management
Obviousness Reasoning
Expanding single-technology approaches to multi-modal environmental control represents a standard design approach for improving system flexibility and performance
Source Patent Element
Fixed irradiation system with limited adaptability
PTD Variation
Modular, interchangeable luminaires with distinct spectral responses
Obviousness Reasoning
Introducing modularity and upgradability is a standard engineering approach to creating more flexible and future-proof technological systems
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857692 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations of the present publication to represent obvious extensions of prior art, specifically rendering obvious any patent claims directed to adaptive, AI-driven environmental quality management systems utilizing modular luminaire technologies and intelligent sensor networks.

Original Patent Information

Patent NumberUS 11,857,692
TitleTunable output irradiance system