
基于TOGAF的工艺知识全生命周期管理架构研究
Research on the Full Lifecycle Management Architecture for Manufacture Process Knowledge Based on TOGAF
[目的/意义] 旨在实现工艺知识全生命周期管理、系统建模工艺知识全生命周期的业务逻辑、数据特征和应用需求,为知识管理软件开发提供指导。[方法/过程] 基于开放组织架构框架(TOGAF)架构设计思想方法,面向计算机辅助工艺设计(CAPP)软件平台,以工艺规程知识为重点,提出工艺知识全生命周期管理的业务架构、数据架构和应用架构。首先,给出基于制造企业工艺业务能力模型的工艺知识分类方案,从工艺设计业务流程角度提出具有多重循环结构的工艺知识全生命周期业务流模型;再统筹考虑研制管理、生产管理和知识管理三个方面的需求,给出工艺规程知识库的数据架构及面向智能信息处理的六维数据结构;最后,给出基于CAPP系统的工艺知识全生命周期管理应用架构,包括系统核心模块、主要功能菜单及智能处理方向。[结果/结论] 提出的架构方案在某单位工艺知识管理系统软件研制中得到初步应用和验证,表明所提架构具有可行性和有效性。
[Purpose/Significance] In order to realize the full life cycle management of process knowledge and system modeling of the business logic, data characteristics, and application requirements of the full life cycle of process knowledge, it provides guidance for the development of knowledge management software. [Method/Process] Based on the TOGAF architecture design method, oriented to the CAPP software platform, focusing on process knowledge, this paper proposed the business architecture, data architecture, and application architecture of process knowledge lifecycle management. Firstly, a process knowledge classification scheme based on the process business capability model of the manufacturing enterprise was presented, and a process knowledge full lifecycle business flow model with a multi-cycle structure was proposed from the point of view of process design business process. Secondly, considering the requirements of research and development management, production management, and knowledge management, the data structure of process planning knowledge base and six-dimensional data structure for intelligent information processing were given. Thirdly, the application architecture of process knowledge life cycle management based on the CAPP system was provided, including the system core module, main function menu, and intelligent processing direction. [Result/Conclusion] The scheme has been preliminarily applied and verified in the software development of a process knowledge management system, indicating the feasibility and effectiveness of the proposed architecture.
知识管理 / 工艺知识 / 工艺规程 / 工艺知识全生命周期管理 / CAPP / TOGAF / 架构
knowledge management / manufacture process knowledge / manufacture process / manufacture process knowledge management in the lifecycle / CAPP / TOGAF / architecture
[1] |
孙丽, 屈娟, 王秀伦. 面向产品全生命周期工艺知识分类编码系统[J].大连铁道学院学报,2006(2):34-37.(SUN L, QU J, WANG X L. Research and development of product full life oriented process knowledge classification and coding system[J]. Journal of Dalian Jiaotong University, 2006(2):34-37.)
|
[2] |
舒启林,王成恩.基于产品全生命周期的工艺信息模型[J].航空制造技术,2005(3):84-87,91.(SHU Q L, WANG C E. Process information model based on product lifecycle[J]. Aironautical manufacturing technology,2005(3):84-87,91.)
|
[3] |
GHADGE K, CHAKRABARTI A. A framework for knowledge management in manual assembly processes[J]. Procedia CIRP, 2020,88:94-97.
|
[4] |
李秀玲,张树生,黄瑞,等.面向工艺重用的工艺知识图谱构建方法[J].西北工业大学学报,2019,37(6):1174-1183.(LI X L, ZHANG S S, HUANG R, et al. Process knowledge graph construction method for process reuse[J]. Journal of Northwestern Polytechnical University, 2019,37(6):1174-1183.)
|
[5] |
何川,江桂云,牟晓涵,等.基于多色图的汽车工艺知识管理方法研究[J].制造业自动化,2020,42(5):101-105.(.HE C, JIANG G Y, MOU X H, et al. Research on knowledge management of automotive process basedon polychromatic graph[J]. Manufacturing automation,2020,42(5):101-105.)
|
[6] |
刘梦飞,张磊,陈泳.制造工艺知识建模与应用研究[J].机械设计与研究,2020,6(20):105-110.(LIU M F, ZHANG L, CHEN Y. An approach for knowledge modeling of manufacturing processes and its application[J].Machine design & research, 2020,6(20):105-110.)
|
[7] |
王永鹏,石晓飞,丁东旭,等.航空机载企业基于零件工艺编码的相似工艺智能推送研究[J].智能制造,2021(2):82-87.(WANG Y P, SHI X F, DING D X, et al. Research on similarity process smart propelling movemen based on part code of aeronautic enterprise[J].Intelligent manufacturing,2021(2):82-87.)
|
[8] |
凡天娣,景旭文,肖志建,等.基于本体的船舶焊接工艺知识图谱构建[J].电焊机,2019,49(12):8-13.(FAN T D,JING X W, XIAO Z J, et al. Ontology-based construction of ship welding procedure knowledge graph[J]. Electric welding machine, 2019,49(12):8-13.)
|
[9] |
GUO S, XU K, ZHAO R, et al. Visual summarization and stage analysis of event sequence data[J]. IEEE transactions on visualization and computer graphics,2018,24(1):56-65.
|
[10] |
CHEN Y, XU P, REN L. Sequence synopsis: optimize visual summary of temporal event data[J]. IEEE transactions on visualization and computer graphics,2018,24(1):45-55.
|
[11] |
RENÉ A, JOSÉ F, JESÚS A. A new algorithm for fast discovery of maximal sequential patterns in a document collection[C]//International conference on intelligent text processing and computational linguistics(CICLing). Mexico: Springer, 2006:514-523.
|
[12] |
AGRAWAL R, SRIKANT R. Mining sequential patterns[C]//The eleventh international conference on data engineering. Washington: IEEE, 1995:3-14.
|
[13] |
CHENG T, HUANG K. Mining the change of customer behavior in fuzzy time-interval sequential patterns[J]. Applied soft computing,2012,12(3):1068-1086.
|
[14] |
LI Z, HAN J, MING J. Movemine: mining moving object data for discovery of animal movement patterns[J]. ACM transactions on intelligent systems and technology, 2011,2(4):37.
|
[15] |
ZHANG X, ZHAO J, CAI B. Prediction model with dynamic adjustment for single time series of PM2.5[J]. Acta auto-matica Sinica, 2018,44(10):1790-1798.
|
[16] |
XU R, YAN W, WANG G, et al. Research on time series forecasting method and electricity price forecasting based on periodic modeling[J]. Acta auto-matica Sinica, 2020,46(6): 1136-1144.
|
[17] |
KEOGH E, CHU S, HART D, et al. Segmenting time series: a survey and novel approach[J]. Data mining in time series databases, 2004:1-21.
|
[18] |
朱文丹.数控加工工艺知识智能生成关键技术研究[D].济南:山东大学, 2019.(ZHU W D. Research on the key technologies of intelligent generation of CNC process knowledge[D]. Jinan: Shandong University, 2019.
|
[19] |
ZHENG P, XIA L, LI C, et al. Towards Self-X cognitive manufacturing network, an industrial knowledge graph-based multi-agent reinforcement learning approach[J]. Journal of manufacturing systems,2021,61:16-26.
|
[20] |
ZHOU B,BAO J, LI J, et al. A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops[J]. Robotics and computer-integrated manufacturing, 2021,71:102160.
|
[21] |
陈强.面向产品全生命周期管理的CAPP应用[J].现代制造,2002(11):62-63.(CHEN Q. The CAPP application toward product lifecycle management[J]. Modern manufacturing,2002(11):62-63.
|
[22] |
蔡巍.面向产品全生命周期的工艺流程管理系统的研究及开发[D].阜新:辽宁工程技术大学,2004.(CAI W. Product overall lifecycle oriented process flow management system’s research and development[D]. Fuxin: Liaoning Technical University, 2004.
|
[23] |
马自勤,王秀伦,杨志刚.面向产品全生命周期工艺管理水平评价的研究[J].计算机集成制造系统-CIMS,2004(5):544-549.(MA Z Q, WANG X L, YANG Z G. Evaluation of process management level for product life cycle[J]. Computer integrated manufacturing systems, 2004(5):544-549.)
|
[24] |
孙进平,蔡巍,刘成颖,等.面向产品全生命周期的工艺流程管理系统的模型设计[J].制造技术与机床,2006,(10):88-92.(SUN J P, CAI W, LIU C Y, et al. Model design of technological process management system facing the whole lifecycle of product[J]. Manufacturing technology and machine,2006,(10):88-92.)
|
[25] |
张艳,荣晶晶,张仲毅,等.面向知识管理的技术状态管理体系[J].航天工业管理,2013(5):37-39.(ZHANG Y, RONG J J, ZHANG Z Y, et al. Configuration management system toward knowledge management[J]. Aerospace industry management,2013(5):37-39.)
|
[26] |
梅立,张艺萌,张艳平,等.航天复合材料知识管理系统应用实践[J].航天工业管理,2019(4):79-81.(MEI L, ZHANG Y M, ZHANG Y P. Knowledge management system application on aerospace composite material[J]. Aerospace industry management, 2019(4):79-81.)
|
[27] |
胡烨,伏桂瑾.基于知识的飞机热工艺设计CAPP系统[J].金属热处理,2019,44(11):178-181.(HU Y,FU G J. Knowledge-based CAPP system for aircraft heat process design[J]. Heat treatment of metals,2019,44(11):178-181.)
|
[28] |
陈思涛,韩文强,温良,等.面向航空制造企业的工艺技术知识管理[J].工具技术,2021,55(2):76-79.(CHEN S T,HAN W Q,WEN L. Technological knowledge management for aviation manufacturing enterprise[J]. Tools thechnology,2021,55(2):76-79.)
|
[29] |
徐建新.知识驱动的船体构件加工工艺设计[D]. 镇江:江苏科技大学,2020.(XU J X. Knowledge-driven process design of hull components[D]. Zhenjiang: Jiangsu University of Science and Technology, 2020.)
|
[30] |
凡天娣.船舶焊接工艺知识建模及工艺规划技术研究[D]. 镇江:江苏科技大学,2020.(FAN T D. Research on knowledge modeling and process planning technology of ship welding process[D]. Zhenjiang: Jiangsu University of Science and Technology, 2020.)
|
[31] |
袁志超.船舶装配工艺知识建模及工艺生成技术研究[D]. 镇江:江苏科技大学, 2020.(YUAN Z C. Research on knowledge modeling and process generation technology of ship assembly process[D]. Zhenjiang: Jiangsu University of Science and Technology, 2020.)
|
[32] |
朱钰萍.知识驱动的机加工工艺智能生成方法研究[D]. 镇江:江苏科技大学, 2020.(ZHU Y P. Research on intelligent generation method of knowledge driven machining process[D]. Zhenjiang: Jiangsu University of Science and Technology, 2020.)
|
[33] |
The Open Group. The open group architecture framework(TOGAF)[EB/OL].[2024-08-27].https://www.opengroup.org/togaf.
|
王亚军:架构设计,论文选题、撰写与修改;
白 翱:详细方案设计;
张 博:知识管理模块开发;
郭 超:知识管理模块和CAPP 系统集成。
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