Synergistic UV Emitter Module Systems

Publication ID: 24-11857686_0003_PTD

Published: October 28, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic UV Emitter Module Systems,” Published Technical Disclosure No. 24-11857686_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857686_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. 11,857,686.

Summary of the Inventive Concept

A novel UV emitter module system integrating distinct technologies such as AI, IoT, blockchain, and new materials to enhance UV emission, substrate irradiation efficiency, and monitoring capabilities.

Background and Problem Solved

The original UV emitter module patent, while providing a waterproof housing and lamp arrangement, has limitations in terms of real-time monitoring, temperature control, and authentication. The new inventive concept addresses these limitations by combining the patented UV emitter module with cutting-edge technologies to create a more powerful and efficient system.

Detailed Description of the Inventive Concept

The synergistic UV emitter module system comprises a lamp arrangement with multiple low-pressure mercury lamps, a waterproof housing, and an AI-powered temperature control system to optimize UV emission and substrate irradiation. Additionally, the system can be integrated with an IoT-enabled sensor network to monitor and adjust UV irradiation in real-time, ensuring optimal substrate processing. Furthermore, the system can incorporate a blockchain-based tracking system to verify and authenticate substrate irradiation history, ensuring compliance with regulatory requirements. The system can also utilize novel, high-reflectivity materials optimized using machine learning algorithms to enhance UV emission and substrate irradiation efficiency. Moreover, the system can feature a computer vision-based monitoring system to detect and adjust UV emission patterns in real-time, ensuring optimal substrate irradiation and minimizing defects.

Novelty and Inventive Step

The new claims introduce novel and non-obvious combinations of the original UV emitter module with distinct technologies, including AI, IoT, blockchain, and new materials, which provide a synergistic effect in enhancing UV emission, substrate irradiation efficiency, and monitoring capabilities.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating the UV emitter module with other technologies such as robotics, augmented reality, or 5G connectivity to further enhance its capabilities. Variations of the system could also include different lamp arrangements, housing designs, or sensor configurations to cater to specific industry needs.

Potential Commercial Applications and Market

The synergistic UV emitter module system has significant commercial potential in various industries such as semiconductor manufacturing, medical device sterilization, and food processing. The system's ability to provide real-time monitoring, optimized UV emission, and authentication capabilities makes it an attractive solution for industries requiring high-precision and reliable UV irradiation.

CPC Classifications

Section	Class	Group
A	A61	A61L2/10
H	H01	H01J61/523
H	H01	H01J61/72

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Ultraviolet lamp technology, specifically low-pressure mercury lamp modules for substrate irradiation, encompassing optical, thermal, and control system design in UV emission systems

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in UV lamp design, thermal management, electronic control systems, and substrate processing technologies, typically holding a BS/MS in electrical, mechanical, or optical engineering with 3-5 years of industrial experience in UV lamp system design

Obviousness Rationale

A PHOSITA would recognize that integrating modern digital technologies like AI, IoT, and computer vision with existing UV lamp module architectures represents a predictable extension of known system enhancement techniques. The fundamental UV lamp module structure remains consistent with the source patent, while the proposed technological additions represent standard approaches to improving monitoring, control, and performance tracking in industrial optical systems. These variations would be considered routine engineering improvements that leverage emerging digital technologies to enhance existing technical capabilities.

Obvious Combinations & Variations

Source Patent Element

Waterproof housing surrounding multiple low-pressure mercury lamps

PTD Variation

Adding AI-powered temperature control system to optimize UV emission

Obviousness Reasoning

Temperature management is a known critical parameter in UV lamp systems, and applying machine learning/AI techniques to thermal optimization represents a predictable application of contemporary control system design principles

Source Patent Element

UV lamp module with beam exit window

PTD Variation

Incorporating computer vision-based monitoring to detect emission patterns

Obviousness Reasoning

Optical monitoring of industrial processes is a well-established technique, and applying computer vision to UV lamp performance represents a straightforward technological extension using standard machine vision approaches

Source Patent Element

Low-pressure mercury lamp arrangement

PTD Variation

Integrating IoT-enabled sensor network for real-time irradiation monitoring

Obviousness Reasoning

Industrial sensor networks and remote monitoring are standard practices in modern engineering, and applying IoT technologies to UV lamp systems represents a predictable enhancement of existing monitoring capabilities

Source Patent Element

UV lamp module housing design

PTD Variation

Blockchain-based tracking system for substrate irradiation history

Obviousness Reasoning

Provenance tracking and compliance verification are common requirements in industrial processes, and blockchain represents a known technological approach to creating immutable documentation records

Source Patent Element

UV lamp module with reflective surfaces

PTD Variation

Incorporating machine learning-optimized high-reflectivity materials

Obviousness Reasoning

Material optimization through computational techniques is a standard engineering approach, and applying machine learning to material selection represents a predictable extension of existing design methodologies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857686 and the disclosed variations, a person of ordinary skill in the art would find the proposed UV lamp module system variations obvious and lacking inventive step. The combination of standard UV lamp module architecture with contemporary digital technologies represents a predictable engineering enhancement that would be readily conceived by a skilled practitioner without requiring undue experimentation or non-obvious insight.

Original Patent Information

Patent Number	US 11,857,686
Title	UV emitter module and use thereof
Assignee(s)	HERAEUS NOBLELIGHT GMBH