化工学报2019，Vol.70Issue(2)：467-474,8.DOI:10.11949/j.issn.0438⁃1157.20181353
基于P-图的流程知识自动生成方法
Automatic generation method of process knowledge based on P-graph
摘要
Abstract
Knowledge generation is the basis of industrial knowledge automation. Process industry knowledge is usually generated by directed tasks, such as optimization scheduling, optimization operation, fault diagnosis, etc. The solution generation requires not only understanding the operation mechanism and production data, but also relying on domain expert experience. Such forms of knowledge representation are difficult to unify, poorly ported, and inconvenient to share and reuse. Aiming at the problem of resource scheduling optimization of ethylene cracking furnace group, the P-graph method is used to construct the superstructure model of the solution, which is designed to represent the knowledge of P-graph ontology and database mapping into knowledge rules, and automatically generate RDF (resource description framework) represents the solution knowledge and builds a knowledge repository. Finally, the actual production data of the ethylene production plant was used to verify the feasibility and practicability of the proposed method.关键词
算法/集成/优化/P-图/超结构/本体Key words
algorithm/ integration/ optimization/ P-graph/ superstructure/ ontology分类
信息技术与安全科学引用本文复制引用
曹健,牟鹏,顾祥柏,朱群雄..基于P-图的流程知识自动生成方法[J].化工学报,2019,70(2):467-474,8.基金项目
国家自然科学基金重点项目(61533003) （61533003）
