Intelligent Nonwoven Material Transfer System with AI, IoT, and Blockchain Integration

A novel system that integrates AI, IoT, and blockchain technologies to optimize the transfer of cut-out nonwoven material members for use in absorbent articles, enhancing efficiency, quality, and transparency.

The original patent disclosed a method for transferring cut-out nonwoven material members, but it lacked real-time monitoring, automation, and transparency. The new inventive concept addresses these limitations by incorporating AI, IoT, and blockchain technologies to create a more efficient, accurate, and secure system.

The system comprises a cutting station with AI-assisted vision to detect and adjust cutting parameters in real-time, a vacuum transfer roll with IoT-enabled sensors to monitor and optimize material transport, and an absorbent article assembly line with blockchain-tracked material provenance. The AI-driven predictive modeling optimizes fiber selection, and the IoT-enabled supply chain management system tracks material sourcing and inventory. The system also includes machine learning-based defect detection, augmented reality-assisted quality control, and AI-assisted predictive maintenance.

The new inventive concept's integration of AI, IoT, and blockchain technologies with the original patent's method for transferring cut-out nonwoven material members constitutes a novel and non-obvious improvement, enabling real-time monitoring, automation, and transparency in the transfer process.

Alternative embodiments may include the use of different AI algorithms, IoT protocols, or blockchain platforms. Variations may involve integrating the system with other technologies, such as robotics or computer vision, to further enhance efficiency and accuracy.

The intelligent nonwoven material transfer system has significant commercial potential in the hygiene and healthcare industries, enabling manufacturers to produce high-quality absorbent articles with increased efficiency, reduced waste, and improved transparency.