Page 53 - 《橡塑技术与装备》英文版2026年3期

SPECIAL AND COMPREHENSIVE REVIEW

such as greenhouse gas emissions and pollutant releases, Through an in-depth analysis of multiple successful
in order to promote the selection and improvement of cases in this section, we have summarized the key experiences
more environmentally friendly processes. By constructing of AI application in the field of waste plastic pyrolysis.
an environmental impact model, process parameters can Firstly, the adoption of an integrated intelligent system
be optimized to reduce negative environmental impacts can significantly enhance the efficiency and stability of the
and promote sustainable development. By establishing an pyrolysis process, ensuring the optimal operating state of the
environmental impact model, the environmental footprint pyrolysis technology through real-time data monitoring and
of different pyrolysis processes can be predicted, assisting intelligent algorithm optimization. Secondly, case studies have
enterprises in selecting green processes with minimal shown that a decision support system combined with artificial
environmental impact. The Fraunhofer ISE Institute in intelligence plays a crucial role in predicting the quality of
Germany is researching AI-driven pyrolysis technology, aiming pyrolysis products, optimizing the recycling process, and
to enhance the efficiency and selectivity of waste plastic improving resource utilization. Furthermore, case analysis also
pyrolysis while reducing the generation of harmful substances reveals the potential of AI in solving environmental problems
by optimizing pyrolysis conditions and process parameters. and promoting circular economy, especially in reducing waste
Researchers at the University of Tokyo are developing AI generation, improving energy self-sufficiency, and promoting
models to predict the oil yield and gas production during sustainable development. Successful cases demonstrate that
the pyrolysis process, as well as identify optimal pyrolysis interdisciplinary cooperation and technological innovation are
conditions. key to driving the transformation of the waste plastic pyrolysis
This section explains how AI optimizes the pyrolysis industry towards intelligence and greenification.
process, reduces the production of by-products and emissions
of harmful substances, achieves cleaner and more sustainable 5 Future development trends and
waste plastic treatment, and enhances the economic efficiency challenges of AI-based waste plastic
of resource recovery and environmental sustainability. pyrolysis technology
4.9 Cases and analysis of international The future development trends and challenges of AI-
cooperation based waste plastic pyrolysis technology are primarily
Germany's AI application in the field of waste plastic manifested in the following aspects: Firstly, technical
pyrolysis is also reflected in its cooperation with other challenges include uncertainty in data quality, accuracy and
countries, such as exporting pyrolysis technology equipment real-time issues in model predictions, and the complexity of
and sharing relevant experience. This not only promotes system integration, which require continuous technological
the global dissemination of technology but also helps raise innovation and optimization to overcome. Secondly, economic
awareness of plastic pollution issues and the adoption of feasibility poses another key challenge. Balancing equipment
solutions in the international community. Large enterprises investment costs, operating expenses, and output value to
and startups in the United States collaborate to implement AI- ensure the economic benefits of intelligent pyrolysis systems
driven waste plastic pyrolysis demonstration projects. These requires in-depth economic analysis and market research.
projects aim to demonstrate how AI can improve recycling Additionally, the adaptability to policies and regulations is
efficiency, reduce costs, and promote the development of a also a challenge. Different regions have varying environmental
circular economy. Large enterprises and startups in Japan standards and technical specifications for waste plastic
collaborate to implement AI-driven waste plastic pyrolysis pyrolysis, necessitating intelligent systems with flexible
demonstration projects. For example, some companies may adjustment capabilities to meet diverse needs. However, these
collaborate with research institutions to optimize pyrolysis challenges also present opportunities. Firstly, the application
processes using AI, improve resource recovery rates, and of intelligent technology can achieve efficient automation
reduce costs. of the pyrolysis process, improve production efficiency and

Vol.52，2026 ·7·