Page 53 - 《橡塑技术与装备》英文版2026年2期

SPECIAL AND COMPREHENSIVE REVIEW

within the data. The data is then formatted and standardized to Key technology implementation: Clearly define the
meet subsequent data analysis and modeling requirements. goals of integration, such as improving production efficiency,
2.9 Main functional analysis and key optimizing processes, reducing failure rates, or enhancing user
technical implementation strategies of experience. Conduct a comprehensive investigation of existing
feature selection and extraction model systems to understand their functions, performance, interfaces,
Main functions: Reduce the number of features in the data flows, etc., and identify potential integration points and
dataset, enhance the interpretability of the model, and decrease challenges. Write detailed requirement documents, including
the consumption of computational resources. Selecting or integration goals, expected effects, required functions, interface
extracting the most relevant features can improve the model's requirements, etc. Design a unified standard interface to
prediction accuracy and the algorithm's operational efficiency. ensure smooth communication and data exchange between
Key technology implementation strategy: In the feature different systems. Select or develop integration tools based
selection and extraction stage, it is necessary to conduct an in- on the characteristics and integration requirements of the
depth analysis of the original data first, identifying the features system. Design a data integration strategy to ensure that
most relevant to the pyrolysis process of waste plastics and data from different systems can be uniformly managed and
the ultimate goals (such as product yield, quality, or pyrolysis accessed. Continuously monitor system performance, adjust
efficiency). Feature engineering is the process of creating, configurations based on actual operating conditions, and
selecting, and transforming features. optimize system performance. By adopting advanced sensor
2.10 Main functional analysis and key technology and real-time data processing algorithms, precise
technology implementation strategies of monitoring and dynamic adjustment of key parameters such
the integrated model of intelligent control as temperature, pressure, and gas composition in the pyrolysis
system reactor are achieved. Regularly evaluate and update the system
Main functions: The intelligent control system optimizes architecture to maintain the progressiveness and adaptability of
and automates the pyrolysis process of waste plastics, thereby the system.
enhancing overall operational efficiency and competitiveness. (To be continued)

Vol.52，2026 ·9·