本文重点研究流程制造业制造流程的本构特征、耗散结构、耗散过程和建模机理等物理本体问题，以石化工业和钢铁工业为主要研究对象，将智能化与信息物理系统的概念进行对接，研究如何实现全厂性动态运行、管理、服务等过程的自感知、自学习、自决策、自执行、自适应，构建基于信息物理系统的智能化工厂。据此论证面向2035 年的流程制造业智能化发展的目标、特征和路径，并针对性提出机制建设、科技项目、财政支撑、技术研发、知识产权、国际交流等方面的对策建议。

This study focuses on the constitutive characteristics, dissipative structure, dissipative process, modeling mechanism, and other physical essence concerning the manufacturing processes of the process manufacturing industry. The petrochemical and steel industries are used as the major research objects in the study. It integrates intelligence with the concept of cyber-physical systems (CPS) to investigate the possible approaches for realizing self-sensing, self-learning, self-decision-making, self-execution, and self-adaptation of plant-wide dynamic processes including operation, management, and service. It also studies the approaches for building a CPSbased intelligent factory. Furthermore, the goals, characteristics, and paths are proposed for the intelligent development of the process manufacturing industry toward 2035; and countermeasures and suggestions are also proposed regarding mechanism construction, science and technology project, financial support, technology research and development, intellectual property, and international communication.