Intelligent Retrofittable Sensor Unit for Enhanced Dosing Device Control

Publication ID: 24-11857134_0006_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Intelligent Retrofittable Sensor Unit for Enhanced Dosing Device Control,” Published Technical Disclosure No. 24-11857134_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857134_0006_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. 11,857,134.

Summary of the Inventive Concept

An advanced retrofittable sensor unit that integrates AI-powered analysis for real-time soiling degree prediction, modular sensor design, and energy harvesting capabilities to optimize dosing device performance, ensuring improved cleaning efficiency and reduced resource consumption.

Background and Problem Solved

The original patent disclosed a retrofittable sensor unit for controlling a dosing device of a cleaning machine. However, the existing design had limitations in terms of real-time analysis, sensor flexibility, and energy efficiency. The new inventive concept addresses these limitations by introducing AI-driven analysis, modular sensor architecture, and energy harvesting capabilities to enhance the overall performance of the dosing device.

Detailed Description of the Inventive Concept

The intelligent retrofittable sensor unit comprises an acquisition module with a viscosity sensor, turbidity sensor, and optical sensors. The acquisition module is integrated with an AI-powered analysis module for real-time soiling degree prediction, enabling the dosing device to adapt to changing washing conditions. The modular design of the acquisition module allows for easy replacement or upgrade of individual sensors, accommodating varying cleaning machine configurations. Additionally, the sensor unit features an energy harvesting system that converts vibrational energy of the washing drum into electrical energy, which is then optimized by a power management module for extended battery life. The communication unit is configured for secure, encrypted data transmission and reception, ensuring protection of sensitive user data and preventing unauthorized access to the dosing device.

Novelty and Inventive Step

The new inventive concept introduces AI-powered analysis for real-time soiling degree prediction, modular sensor design, and energy harvesting capabilities, which are not present in the original patent. These features provide a significant improvement in dosing device performance, energy efficiency, and user data security, making the new concept novel and non-obvious compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the intelligent retrofittable sensor unit could include variations in sensor types, AI algorithms, and energy harvesting mechanisms. For example, the sensor unit could be designed with different types of sensors, such as acoustic or thermal sensors, to accommodate various cleaning machine configurations. Additionally, the AI-powered analysis module could be integrated with cloud-based machine learning algorithms to enable real-time data analysis and customized dosing recommendations.

Potential Commercial Applications and Market

The intelligent retrofittable sensor unit has significant commercial potential in the cleaning industry, particularly in industrial and commercial laundry applications. The improved dosing device performance, energy efficiency, and user data security features make it an attractive solution for companies seeking to reduce resource consumption, enhance cleaning efficiency, and ensure data protection.

CPC Classifications

SectionClassGroup
A A47 A47L15/4297
A A47 A47L15/0055
A A47 A47L15/449
D D06 D06F33/57
D D06 D06F34/22
D D06 D06F2103/02
D D06 D06F2103/18
D D06 D06F2103/20
D D06 D06F2105/42
D D06 D06F2105/58

Field of Art

Cleaning machine sensor systems and control technologies, specifically focusing on retrofittable sensor units for dosing devices in washing machines, requiring expertise in sensor integration, data analysis, and machine control systems

Person of Ordinary Skill (PHOSITA) Profile

A mechanical or electrical engineer with expertise in sensor technologies, machine control systems, and data processing, typically holding a bachelor's or master's degree with 3-5 years of experience in appliance design or sensor integration

Obviousness Rationale

A person having ordinary skill in the art would recognize that the PTD's variations represent predictable extensions of the source patent's core sensor unit concept, utilizing known techniques in AI analysis, modular sensor design, and energy harvesting to enhance the existing retrofittable sensor technology. The proposed modifications represent incremental improvements that would be apparent to a skilled practitioner seeking to optimize sensor unit performance and functionality.

Obvious Combinations & Variations

Source Patent Element
Sensor unit with viscosity and turbidity sensors for controlling a dosing device
PTD Variation
Integration of AI-powered analysis module for real-time soiling degree prediction
Obviousness Reasoning
Applying machine learning to sensor data is a known technique for improving predictive capabilities, representing an obvious optimization of existing sensor interpretation methods
Source Patent Element
Wireless communication unit for interaction with cleaning machines and user terminals
PTD Variation
Secure, encrypted data transmission with cloud-based machine learning integration
Obviousness Reasoning
Enhancing communication security and adding cloud-based data processing are predictable improvements in IoT-connected sensor systems
Source Patent Element
Energy conversion system with dynamo for generating electrical energy from rotational motion
PTD Variation
Energy harvesting system converting vibrational energy with advanced power management module
Obviousness Reasoning
Expanding energy harvesting techniques to capture additional forms of mechanical energy is an obvious design optimization for self-powered sensor units
Source Patent Element
Sensor unit with multiple sensor types for monitoring washing conditions
PTD Variation
Modular sensor design allowing easy replacement and configuration of individual sensors
Obviousness Reasoning
Implementing modular design for sensor systems is a standard engineering approach to improve adaptability and maintenance of technical systems
35 U.S.C. § 103 Summary: Based on US Patent 11857134, the present published technical disclosure demonstrates that the claimed variations in retrofittable sensor unit design would have been obvious to a person having ordinary skill in the art at the time of invention, specifically through predictable combinations of known sensor technologies, data processing techniques, and energy harvesting methods that represent routine engineering optimization of existing sensor unit architectures.

Original Patent Information

Patent NumberUS 11,857,134
TitleRetrofittable sensor unit for controlling a dosing device
Assignee(s)Henkel AG & Co. KGaA