基于知识图谱推理及补全的流程行业工艺优化方法研究

Research on Process Industry Technology Optimization Method Based on Knowledge Graph Reasoning and Completion

本文提出一种基于知识图谱推理及补全的流程行业工艺优化方法,其目的是构建一个面向流程行业工艺的知识图谱,替代人类专家对流程行业中的设备控制和生产过程进行优化调节,从而提高控制生产过程参数优化的及时性、效率与准确性,并提高产品的质量与数量;基于构成的知识图谱进行补全,完成对专家忽略或者隐藏的知识进行挖掘补全,更加全面提高产品的质量。

This paper proposes a process industry technology optimization method based on knowledge graph reasoning and completion,which aims to construct a knowledge graph for the process industry technology,replace human experts to optimize and adjust the equipment control and production process in the process industry,so as to improve the timeliness,efficiency and accuracy of the optimization of control production process parameters,and improve the quality and quantity of products.Based on the knowledge graph composition,the excavation and completion of the knowledge ignored or hidden by experts are completed,and the quality of the product can be improves comprehensively.