Autonomous Decontamination Ecosystems

Publication ID: 24-11857688_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Autonomous Decontamination Ecosystems,” Published Technical Disclosure No. 24-11857688_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857688_0010_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. 11,857,688.

Summary of the Inventive Concept

A next-generation decontamination system featuring autonomous drones, predictive analytics, and advanced nanotechnology, enabling proactive, adaptive, and highly effective sanitization across diverse environments.

Background and Problem Solved

The original patent's object decontamination apparatus and method, while effective, have limitations in terms of spatial coverage, real-time adaptability, and efficacy against emerging contaminants. The new inventive concept addresses these limitations by introducing autonomous, swarm-capable UVC-emitting drones, predictive decontamination methods, and advanced nanotechnology-based coatings, thereby providing a more comprehensive, proactive, and efficient decontamination solution.

Detailed Description of the Inventive Concept

The autonomous decontamination ecosystem consists of a network of swarm-capable UVC-emitting drones that adaptively map and sanitize environments, dynamically adjusting intensity and duration based on real-time contaminant sensing and occupant tracking. The system incorporates machine learning algorithms to analyze historical usage patterns, environmental factors, and real-time sensor data, enabling predictive decontamination and optimization of decontamination cycles. Additionally, the ecosystem features modular, self-contained decontamination pods deployable in various environments, including healthcare facilities, public transportation, and retail spaces. These pods integrate UVC emitters, air filtration, and real-time monitoring to provide a comprehensive sanitization solution. Furthermore, the system incorporates advanced nanotechnology-based coatings that amplify the effectiveness of UVC light, enabling reduced intensity and exposure times while maintaining efficacy against a broad spectrum of contaminants. The decentralized, blockchain-secured decontamination network enables secure, tamper-proof tracking and verification of decontamination events, ensuring accountability and transparency across diverse environments and applications.

Novelty and Inventive Step

The new inventive concept's autonomous drones, predictive analytics, and advanced nanotechnology-based coatings provide a paradigm shift in decontamination technology, offering unprecedented spatial coverage, real-time adaptability, and efficacy against emerging contaminants. The combination of these features and the decentralized, blockchain-secured network constitutes a novel and non-obvious solution that significantly improves upon the original patent's limitations.

Alternative Embodiments and Variations

Alternative embodiments of the autonomous decontamination ecosystem could include the use of other types of autonomous vehicles, such as robots or autonomous cleaning devices, or the integration of additional sensing technologies, such as infrared or acoustic sensors, to enhance the system's adaptability and efficacy. Variations of the predictive decontamination method could include the use of different machine learning algorithms or the incorporation of additional data sources, such as weather patterns or social media activity, to further improve the accuracy of predictions.

Potential Commercial Applications and Market

The autonomous decontamination ecosystem has significant commercial potential across various industries, including healthcare, public transportation, retail, and hospitality. The system's ability to provide proactive, adaptive, and highly effective sanitization solutions could revolutionize the way these industries approach decontamination, enabling them to reduce the risk of infectious outbreaks, improve customer satisfaction, and increase operational efficiency. The market potential for this technology is substantial, with an estimated global value of over $10 billion by 2025.

CPC Classifications

SectionClassGroup
A A61 A61L2/10
A A61 A61L2/24
A A61 A61L2202/14
A A61 A61L2202/16
A A61 A61L2202/25

Field of Art

Medical and Environmental Decontamination Technologies, specifically UVC-based sanitization systems with sensor-driven control mechanisms, requiring expertise in photobiology, robotics, sensor integration, and environmental monitoring

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in engineering, biomedical sciences, or related fields, possessing knowledge of UV disinfection technologies, sensor systems, autonomous robotics, and environmental control strategies

Obviousness Rationale

A person having ordinary skill would recognize that the PTD's autonomous drone-based decontamination system represents a predictable technological extension of the source patent's UVC sanitization apparatus, leveraging known robotics, sensor integration, and machine learning techniques to enhance spatial coverage and adaptive decontamination strategies.

Obvious Combinations & Variations

Source Patent Element
UVC light source for surface decontamination with sensor-based occupant detection
PTD Variation
Autonomous drone-based UVC emitters with dynamic intensity and spatial mapping capabilities
Obviousness Reasoning
Combining mobile robotic platforms with established UVC decontamination principles represents a predictable technological progression using known autonomous navigation and sensing technologies
Source Patent Element
Sensor-driven controller for managing decontamination cycles
PTD Variation
Machine learning algorithms analyzing historical usage patterns and real-time sensor data for predictive decontamination
Obviousness Reasoning
Applying machine learning to existing sensor-based control systems is a standard engineering approach for enhancing adaptive system performance, representing an obvious optimization strategy
Source Patent Element
Fixed UVC decontamination apparatus with occupancy sensing
PTD Variation
Modular, deployable decontamination pods with integrated air filtration and multi-environment adaptability
Obviousness Reasoning
Expanding a single-environment decontamination system into modular, multi-environment configurations represents a straightforward design evolution using known engineering principles
Source Patent Element
Surface decontamination using UVC light
PTD Variation
Nanotechnology-enhanced coatings amplifying UVC effectiveness with reduced intensity requirements
Obviousness Reasoning
Applying advanced materials science to improve existing decontamination technologies constitutes a predictable enhancement using well-established interdisciplinary engineering approaches
Source Patent Element
Sensor-based occupancy detection and cycle management
PTD Variation
Blockchain-secured decontamination network for tracking and verifying sanitization events
Obviousness Reasoning
Integrating distributed ledger technologies with existing sensor and control systems represents a logical extension of data verification and accountability mechanisms
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857688 and the comprehensive technical disclosure herein, a person having ordinary skill in the art would find the claimed autonomous decontamination ecosystem variations obvious, as they represent predictable technological extensions employing known robotics, sensor integration, machine learning, and materials science techniques to enhance existing UVC sanitization methodologies.

Original Patent Information

Patent NumberUS 11,857,688
TitleObject decontamination apparatus and method
Assignee(s)DIVERSEY, INC.