面向船舶分段制造过程的动态知识图谱建模方法

doi:10.16183/j.cnki.jsjtu.2020.241

摘要/Abstract

摘要：

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.

关键词: 知识图谱, 时序数据, 信息模型, 知识组织, 船舶分段制造

Abstract:

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.

Key words: knowledge graph, time series data, information model, knowledge organization, ship block manufacturing

中图分类号:

TP391

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.

SONG Dengqiang, ZHOU Bin, SHEN Xingwang, BAO Jinsong, ZHOU Yaqin. Dynamic Knowledge Graph Modeling Method for Ship Block Manufacturing Process[J]. Journal of Shanghai Jiao Tong University, 2021, 55(5): 544-556.

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关系类型	关系名称	关系定义	关系描述
流程关系(R_st)	FlowTo	工位之间的流程关系,例如FlowTo(e_h,e_o)表示工位e_h的产品流向工位e_o	○ ○
	Next	任务事件的前后因果关系	○ ○
结构关系(R_st)	Has	工位具有的人员、物料、设备、场地以及工艺方法等	○ ○
	HasPart	产品的装配关系,表示某装配体包含子装配体或是零件	○ ○
	HasAttr	实体节点的属性关系,表示实体具有的相关属性	○ ○
	PartOf	产品的装配关系,表示某子装配体或零件属于某装配体	○ ○
	Is	属性节点的属性值关系,表示某属性所具有的属性值	○ ○
时序关系(R_tm)	Involved:T	表示加工任务在时间T时涉及的人员、异常、设备等实体节点	○ ○
	HasWork:T	表示加工任务完成的时间以及工位	○ ○
	HasProducts:T	表示加工任务在时间T时产生的产品	○ ○
	HasParams:T	表示加工任务在时间T时涉及的实体属性参数值	○ ○

工位	主要设备	数量	操作类型	人员数量
钢板预处理	校平机	2台	半自动	5
	薄板预处理线	2套	半自动	4
切割工位	数控等离子切割机	15台	程序调控	20
	火焰板条切割机	1台	程序调控	2
	型钢数控等离子切割机	1台	程序调控	2
拼版工位	拼版门架	1台	半自动	4
	IMG专用设备	1台	程序调控	2
划线切割	ESAB专用设备	1台	程序调控	2
纵骨装焊	IMG专用设备	1台	程序调控	2
T排装焊	T-Beam安装门架	1套	半自动	4
	T-Beam焊接机器人	4套	程序调控	8
围壁装焊	围壁焊接门架	1套	半自动	4
	各类电焊机	1组	手动操作	12

工位名	切割任务	开始时间	结束时间	划线长度/m	切割长度/m	钢材	…
切割1	438101HCNR01.gen	2019-03-06 10:52	2019-03-06 11:03	11.897	8.702	AH36	…
切割1	1438101HCNR02.gen	2019-03-06 11:10	2019-03-06 11:55	148.036	43.265	DH36	…
切割1	1438101HCNR03.gen	2019-03-06 13:30	2019-03-06 14:03	96.793	29.503	DH36	…
切割1	1438101HCNR04.gen	2019-03-06 14:15	2019-03-06 14:48	96.718	29.503	DH36	…
切割1	1438101HCNR05.gen	2019-03-06 15:00	2019-03-06 15:57	236.468	44.706	AH36	…
切割1	1438101HCNR06.gen	2019-03-06 16:10	2019-03-06 17:00	175.115	42.061	AH36	…
切割1	1438101HCNR07.gen	2019-03-06 17:15	2019-03-06 17:47	118.904	25.179	AH36	…