Page 54 - 《橡塑技术与装备》英文版2026年3期

HINA R&P TECHNOLOGY AND EQUIPMENT

product quality, and reduce the likelihood of human error. comprehensive life cycle assessment models to gain a deeper
Secondly, intelligent data analysis and decision support understanding of the long-term environmental impact of the
systems can accurately predict market changes, optimize raw technology.
material ratios and product output, and enhance the market
competitiveness of enterprises. Furthermore, with the global 6 Conclusion
emphasis on sustainable development and environmental The research on AI waste plastic pyrolysis presented in
protection, intelligent pyrolysis technology, characterized by this paper indicates that waste plastic pyrolysis technology is
resource recycling, is expected to receive more policy support continuously being optimized and innovated. How to achieve
and financial investment, promoting its rapid development and optimal green pyrolysis has become a key issue that urgently
widespread application. Lastly, the integration of intelligent needs to be addressed.
technology can also drive cooperation between upstream and The pyrolysis of AI waste plastics is expected to achieve
downstream industries, forming a more collaborative and a higher level of automation, stronger intelligent decision-
efficient circular economy system, collectively promoting making capabilities, and broader industrial integration. With
the maturity and popularization of waste plastic pyrolysis the continuous advancement of pyrolysis technology and the
technology. gradual reduction of costs, this technology will become more
Facing the future development trends and challenges widespread and become one of the important means to solve
of AI-based waste plastic pyrolysis technology, research the global plastic pollution problem. At the same time, with the
directions include but are not limited to developing more promotion of sustainable development goals, it is expected that
efficient and flexible AI control systems, optimizing pyrolysis more innovative applications and business models will emerge,
process parameters to enhance resource recovery efficiency, further promoting the development of waste plastic resource
exploring interdisciplinary collaboration to address data utilization.
security and privacy protection issues, and constructing (The End)

·8· Vol.52，No.3