Intelligent Environmental Quality Enhancement System

Publication ID: 24-11857692_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Environmental Quality Enhancement System,” Published Technical Disclosure No. 24-11857692_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857692_0003_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 synergistic system integrating a tunable output irradiance system with AI, IoT, blockchain, and machine learning technologies to provide real-time, adaptive, and secure environmental quality control solutions.

Background and Problem Solved

Conventional environmental quality systems lack adaptability, scalability, and security. The original patent's tunable output irradiance system, while innovative, is limited in its ability to respond to dynamic environmental conditions. This new inventive concept addresses these limitations by combining the tunable irradiance system with advanced technologies to create a more powerful, intelligent, and secure system.

Detailed Description of the Inventive Concept

The Intelligent Environmental Quality Enhancement System consists of a tunable output irradiance system, integrated with an AI-powered air quality monitoring module, an IoT-enabled sensor network, a blockchain-based platform, and a machine learning-based controller. The AI module analyzes real-time environmental data to adjust the irradiance output, ensuring optimal air quality. The IoT sensor network provides real-time data to optimize the UV luminary output for water quality enhancement. The blockchain-based platform enables secure and transparent tracking of user preferences and irradiance settings. The machine learning-based controller predicts and adjusts the irradiance output based on historical environmental data, automating environmental quality control.

Novelty and Inventive Step

The new claims introduce a synergistic combination of the tunable output irradiance system with AI, IoT, blockchain, and machine learning technologies, providing a novel and non-obvious solution for adaptive, secure, and intelligent environmental quality control. This integration enables real-time responsiveness, scalability, and security, which are not achievable by the original patent alone.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the tunable output irradiance system with other advanced technologies, such as robotics, computer vision, or nanotechnology. Variations may include applying the system to different environmental quality control scenarios, such as agricultural, industrial, or residential settings.

Potential Commercial Applications and Market

The Intelligent Environmental Quality Enhancement System has significant commercial potential in various industries, including healthcare, hospitality, education, and real estate. The system's adaptability, scalability, and security make it an attractive solution for organizations seeking to improve environmental quality while reducing costs and enhancing customer experience.

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 control systems, UV irradiation technologies, and intelligent sensor-based environmental monitoring, spanning domains of photobiology, environmental engineering, and smart sensing technologies

Person of Ordinary Skill (PHOSITA) Profile

A technical professional with expertise in UV sterilization systems, environmental sensing technologies, advanced control systems, and interdisciplinary integration of sensor networks and adaptive control algorithms

Obviousness Rationale

A PHOSITA would recognize that integrating AI, IoT, and machine learning with the existing tunable UV irradiation system represents a predictable technological evolution, leveraging known techniques for adaptive environmental control. The core UV irradiation technology remains fundamentally unchanged, with added intelligence for dynamic response and optimization. These technological integrations represent standard engineering approaches to enhance system flexibility and performance.

Obvious Combinations & Variations

Source Patent Element
UV spectrum-tunable illumination system with environmental sensors
PTD Variation
AI-powered air quality monitoring module dynamically adjusting irradiance output
Obviousness Reasoning
Predictable application of machine learning to existing sensor-based adaptive control, representing a known technique for enhancing system responsiveness
Source Patent Element
Environmental quality improvement system with multiple sensor inputs
PTD Variation
IoT-enabled sensor network providing real-time water quality data to optimize UV luminary output
Obviousness Reasoning
Standard integration of networked sensors with existing environmental control systems, representing a logical technological progression
Source Patent Element
Multi-spectrum UV illumination system
PTD Variation
Blockchain-based platform for secure tracking of irradiance settings and user preferences
Obviousness Reasoning
Applying distributed ledger technologies to existing environmental control systems is a known approach for enhancing data transparency and user customization
Source Patent Element
Environmental sensor-driven illumination system
PTD Variation
Machine learning controller predicting irradiance output based on historical environmental data
Obviousness Reasoning
Implementing predictive algorithms with existing sensor-based systems represents a standard approach to improving adaptive control performance
35 U.S.C. § 103 Summary: Based on US Patent 11857692's teachings of a tunable UV irradiation system with environmental sensors, the present disclosure demonstrates that integrating AI, IoT, blockchain, and machine learning technologies represents an obvious extension of the prior art, employing known techniques to enhance system intelligence, adaptability, and user interaction in environmental quality control applications.

Original Patent Information

Patent NumberUS 11,857,692
TitleTunable output irradiance system