Progettazione di un Sistema di Conformità per Bottiglie in PET: Normative UE per Produttori e Organismi di Certificazione

The increasing need for polyethylene terephthalate (PET) bottles highlights the essential requirement for sustainable practices in production and recycling. Frequently used for drink containers, PET bottles face criticism due to their environmental impact. According to European Union regulations, by the year 2025, all PET beverage bottles must contain at least 25% recycled PET (rPET). This guideline mandates the development of systems that streamline workflows, enhance transparency, and ensure full traceability from raw materials to final products. This thesis presents an advanced digital platform designed to revolutionize the recycling process of polyethylene terephthalate (PET) bottles while ensuring compliance with EU regulations and promoting sustainable practices. The platform integrates cutting-edge technologies, including Blockchain, IoT (Internet of Things), and Artificial Intelligence (AI), to address challenges in transparency, traceability, and efficiency within the recycling industry. IoT sensors enable real-time monitoring of key parameters such as temperature, humidity, contamination levels, and material weight, while Blockchain technology, implemented through Hyperledger Fabric, ensures secure and immutable transaction records across the supply chain. AI-driven algorithms, including Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) models, and Particle Swarm Optimization (PSO), optimize operations, predict risks, and enhance recycling rates. Additional components, such as a centralized digital platform, automated certification modules, and QR-code-based traceability systems, provide stakeholders with real-time insights and foster consumer trust. This comprehensive system reduces reliance on virgin resources, promotes circular economy principles, and supports a sustainable packaging industry by enhancing collaboration, reducing costs, and simplifying compliance processes.