面向船舶分段制造过程的动态知识图谱建模方法
收稿日期: 2020-07-29
网络出版日期: 2021-06-01
基金资助
国家重点研发计划资助项目(2019YFB1706301)
Dynamic Knowledge Graph Modeling Method for Ship Block Manufacturing Process
Received date: 2020-07-29
Online published: 2021-06-01
在动态性、离散型强的船舶分段制造过程中,缺乏有效的过程资源组织、产品加工不透明等因素导致管理者知识获取成本高、效率低.针对这一问题,提出一种基于加工节拍数据流的知识图谱动态生成和更新方法.通过分析船舶分段的加工流程与工位数据特点,给出加工节拍数据信息模型定义;提出静态资源与加工节拍数据的图映射步骤、模型以及融合连接算法,实现工位动态时序数据与知识图谱的语义关联;利用工位流程与产品结构关系生成车间级动态知识图谱.以某船舶分段生产过程为例,设计开发知识图谱可视化原型系统并进行验证.研究结果表明,所提方法有利于船舶分段制造过程中知识的组织、获取与重用.
宋邓强, 周彬, 申兴旺, 鲍劲松, 周亚勤 . 面向船舶分段制造过程的动态知识图谱建模方法[J]. 上海交通大学学报, 2021 , 55(5) : 544 -556 . DOI: 10.16183/j.cnki.jsjtu.2020.241
In the dynamic and discrete ship block manufacturing process, lack of effective process resource organization and transparency in product processing leads to the problem of high cost and low efficiency for managers to acquire knowledge. A method for dynamic generation and updating of knowledge graph based on processing beat data flow is proposed. The definition of the processing beat data information model is defined by analyzing the processing flow and the station data characteristics of the ship blocks. The graph mapping steps, models, and fusion connection algorithms are proposed for static resources and processing beat data to realize the semantic association of station dynamic time series data and knowledge graphs. Based on the relationship between station process and product structure, the generation of workshop-level dynamic knowledge graph is realized. Taking the production process of a ship block as an example, the knowledge graph visualization prototype system is designed, developed, and verified. The results show that the proposed method is beneficial to the organization, acquisition, and reuse of knowledge in the process of ship block manufacturing.
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