The manufacturing of chemical products is realized through the controlled conversion and transfer of mass and energy by chemical processes that have the characteristics of heterogeneity, nonlinearity, non- equilibrium, multiple scale, and multiple temporal–spatial domains. The key to the development of intelligent manufacturing in the chemical industry is to achieve interconnected synergy and process efficiency under multi-scale conditions. On the one hand, the understanding and regulation of the multi-scale interconnection mechanism of chemical processes is important for the safe and reliable operation of chemical process systems. On the other hand, achieving the multi-scale interconnection, integration, and synergy of chemical processes allows green development of the chemical industry. However, through extensive research into the multi-scale chemical industry mechanisms, an integrated conceptual framework models for intelligent manufacturing have yet not been developed. On this basis, we propose a multi-scale and integrated intelligent manufacturing model for the chemical industry; that is, interconnected chemical engineering. This paper elaborates the concept, goals, characteristics, and architecture of interconnected chemical engineering and discusses key technologies relating to interconnected chemical engineering, including multi-level cyber-physical systems in the chemical industry, cloud manufacturing, full life-cycle security management technologies, dynamic security monitoring and decision-making models under a coupled interlocking mechanism, and blockchain-based interconnected chemical data security technologies.

化学产品的制造是通过化学过程的质量和能量的受控转换和转移来实现的，这些过程具有异质性，非线性，非平衡，多尺度和多个时空域的特征。化工行业智能制造发展的关键是在多规模条件下实现相互协作的协同效应和过程效率。一方面，了解和调节化学过程的多尺度互连机制对于化学过程系统的安全可靠运行很重要。另一方面，实现化学过程的多尺度互连，集成和协同作用可以实现化学工业的绿色发展。然而，通过对多尺度化学工业机制的广泛研究，尚未开发出用于智能制造的集成概念框架模型。在此基础上，提出了化工行业的多尺度集成智能制造模型。即相互联系的化学工程。本文阐述了互连化学工程的概念，目标，特征和体系结构，并讨论了与互连化学工程有关的关键技术，包括化学工业中的多层网络物理系统，云制造，全生命周期安全管理技术，联锁机制下的动态安全监控和决策模型，以及基于区块链的互连化学数据安全技术。