Synergistic Water Recycling and Optimization System for Dishwashing Machines
Legal Citation
Summary of the Inventive Concept
A novel system integrating recycled water, IoT, AI, blockchain, and novel materials to optimize water consumption, improve cleaning efficiency, and reduce environmental impact in commercial dishwashing operations.
Background and Problem Solved
The original patent addresses the limitation of manually removing large food particles from soiled dishes using fresh water. However, it does not optimize water consumption, lacks real-time monitoring, and has limited integration with other technologies. The new inventive concept overcomes these limitations by integrating recycled water with IoT-enabled sensors, AI-driven predictive analytics, blockchain-based tracking, and novel nanomaterial-based filtration systems.
Detailed Description of the Inventive Concept
The system comprises a water recycling module, an IoT-enabled sensor network, an AI-powered water quality monitoring system, a blockchain-based tracking system, and a novel nanomaterial-based filtration system. The IoT-enabled sensors monitor water quality and quantity, while the AI-driven predictive analytics optimize water temperature and chemical usage. The blockchain-based tracking system verifies the origin and quality of recycled water, ensuring authenticity of cleaning chemicals. The novel nanomaterial-based filtration system removes contaminants and improves water reuse efficiency.
Novelty and Inventive Step
The integration of recycled water with IoT, AI, blockchain, and novel materials is new and non-obvious compared to the original patent. The use of AI-driven predictive analytics to optimize water temperature and chemical usage, and the incorporation of blockchain-based tracking to verify the origin and quality of recycled water, are novel and inventive steps.
Alternative Embodiments and Variations
Alternative embodiments may include integrating the system with other technologies such as robotics, computer vision, or advanced materials. Variations may include using different types of sensors, AI algorithms, or blockchain platforms to achieve similar goals.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in the hospitality, healthcare, and foodservice industries, where water conservation and efficient cleaning operations are critical. The system can be marketed as a sustainable, cost-effective, and efficient solution for commercial dishwashing operations.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A47 | A47L15/4291 |
| A | A47 | A47L15/0005 |
| A | A47 | A47L15/0076 |
| A | A47 | A47L15/0081 |
| A | A47 | A47L15/4219 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Commercial dishwashing systems and water recycling technologies, involving mechanical engineering, fluid dynamics, filtration systems, and industrial process optimization
Person of Ordinary Skill (PHOSITA) Profile
A professional with a bachelor's degree in mechanical or environmental engineering, 3-5 years of experience in commercial kitchen equipment design, familiar with water recycling technologies, IoT sensor integration, and process optimization techniques
Obviousness Rationale
A PHOSITA would recognize that integrating IoT sensors, AI predictive analytics, and blockchain tracking into water recycling systems represents a natural technological progression from the source patent's core water reuse concept. The fundamental water recycling methodology remains consistent, with the PTD merely adding contemporary digital monitoring and verification layers that are well-established in industrial process management. These technological extensions represent predictable improvements that would be obvious to a skilled practitioner seeking to enhance water recycling efficiency and traceability.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,133 |
|---|---|
| Title | Use of recycled wash and rinse water for the pre-rinse operation of dishes |
| Assignee(s) | ECOLAB USA INC. |