Process industry enterprises rely heavily on expert experience in production, and expert knowledge is stored in multiple formats like, pictures, texts, videos, etc. Several isolated islands of information or knowledge are formed, and they are difficult to store, share, and expand upon. Therefore, the same procedure appears multiple times in different application scenarios, such as optimization scheduling, optimization operation, or fault diagnosis. If redundant knowledge is paid too much attention, decision‐makers will not be able to comprehensively consider business knowledge. Thus, a novel framework is proposed for the process industry to manage procedure knowledge. This paper first divides the detailed procedure of process plants into four layers, that is, raw materials, intermediate materials, operation, and products based on the P‐graph theory, which involves virtual hierarchies, nodes, and operations. Second, the domain ontology‐based procedure knowledge model is constructed. Finally, two experimental cases, the Tennessee Eastman (TE) and the ethylene production process, are studied to verify the procedure knowledge framework (PKF). The PKF provides a useful foundation for the subsequent construction of a superstructure model based on the P‐graph theory and is different from the previous industrial process industrial ontology model. The PKF has a theoretical basis for simulation calculation and makes future work based on PKF more accurate and interpretable.

中文翻译：

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用于流程行业的基于本体的过程知识框架

流程工业企业严重依赖专家的生产经验，并且专家知识以图片，文本，视频等多种格式存储。形成了几个孤立的信息或知识孤岛，它们很难存储，共享和扩展。在。因此，同一过程在优化计划，优化操作或故障诊断等不同的应用场景中会多次出现。如果过多地关注冗余知识，则决策者将无法全面考虑业务知识。因此，为过程工业提出了一种新颖的框架来管理过程知识。本文首先将加工厂的详细流程分为四层，即原材料，中间材料，操作，和基于P图理论的产品，其中涉及虚拟层次结构，节点和操作。其次，构建了基于领域本体的过程知识模型。最后，研究了两个实验案例，即田纳西州伊士曼（TE）和乙烯生产过程，以验证程序知识框架（PKF）。PKF为基于P图理论的上层建筑模型的后续构建提供了有用的基础，并且不同于先前的工业过程工业本体模型。PKF为仿真计算提供了理论基础，并使基于PKF的未来工作更加准确和可解释。对田纳西州伊士曼（TE）和乙烯生产工艺进行了研究，以验证程序知识框架（PKF）。PKF为基于P图理论的上层建筑模型的后续构建提供了有用的基础，并且不同于先前的工业过程工业本体模型。PKF为仿真计算提供了理论基础，并使基于PKF的未来工作更加准确和可解释。对田纳西州伊士曼（TE）和乙烯生产工艺进行了研究，以验证程序知识框架（PKF）。PKF为基于P图理论的上层建筑模型的后续构建提供了有用的基础，并且不同于先前的工业过程工业本体模型。PKF为仿真计算提供了理论基础，并使基于PKF的未来工作更加准确和可解释。