[学科发展]新一代信息技术驱动的装备生产过程技术管理创新方法研究

摘要/Abstract

摘要： 围绕新一代信息技术驱动的装备生产过程技术管理过程，通过表征生产过程中数据、信息、知识及其关联，在装备生产的车间层、企业层以及跨企业层建立新一代信息技术驱动的生产数据、信息与知识的时变空间，阐述新技术在时变空间下的耦合作用机制；研究生产技术进化预测、生产技术进化实施路线、新生产技术升级实施流程与新生产技术项目实施运维等核心内容，形成面向新一代信息技术驱动的装备生产过程技术管理创新方法，助力装备生产企业提质、增效、降本。

关键词: 新一代信息技术, 创新方法, 装备制造, 技术管理, 生产过程

Abstract: By characterizing data, information, knowledge, and their relationships in the production processes, the technology management of NGIT-driven equipment production processes was proposed, the time-varying spaces for production data, information and knowledge driven by NGIT were built respectively in the workshop, enterprise and cross-enterprise layers. Furthermore, the prediction, the implementation route, the upgrade flow, and the operation and maintenance of new production technology were studied. With the help of the proposed technology management innovation method for equipment production driven by NGIT, the quality of the equipment and the efficiency of the production will be improved.

Key words: new-generation information technology(NGIT), innovation method, equipment manufacturing, technology management, production process

中图分类号:

F273

江平宇, 李普林, 苏婷. [学科发展]新一代信息技术驱动的装备生产过程技术管理创新方法研究[J]. 中国机械工程.

JIANG Pingyu, LI Pulin, SU Ting. Research on Technology Management Innovation Methods for Equipment Productions Driven by NGIT[J]. China Mechanical Engineering.

参考文献

[1]国务院. 国务院关于加快培育和发展战略性新兴产业的决定[EB/OL].[2019-5-8]. http://www.gov.cn/zwgk/2010-10/18/content_1724848.htm.
China State Council. Decision of The State Council on Accelerating the Cultivation and Development of Strategic Emerging Industries[EB/OL].[2019-5-8]. http:∥www.gov.cn/zwgk/2010-10/18/content_1724848.htm.
[2]ROTH M A, WOLFSON D C, KLEEWEIN J C, et al. Information Integration: a New Generation of Information Technology[J]. IBM Systems Journal, 2002, 41(4):563-577.
[3]ZHOU J, LI P, ZHOU Y, et al. Toward New-Generation Intelligent Manufacturing[J]. Engineering, 2018, 4(1):11-20.
[4]科技部. 科技部关于印发“十三五”先进制造技术领域科技创新专项规划[EB/OL].[2018-10-15]. http://www.most.gov.cn/mostinfo/xinxifenlei/fgzc/gfxwj/gfxwj2017/201705/t20170502_132597.htm.
Ministry of Science and Technology of China. Special Plan for Scientific and Technological Innovation in the “13th Five-Year Plan” for Advanced Manufacturing Technology Issued by Ministry of Science and Technology[EB/OL].[2018-10-15]. http:∥www.most.gov .cn/mostinfo/xinxifenlei/fgzc/gfxwj/gfxwj2017/201705/t20170502_132597.htm.
[5]KASSNER L, HIRMER P, WIELAND M, et al. The Social Factory: Connecting People, Machines and Data in Manufacturing for Context-Aware Exception Escalation[C]∥Proceedings of the 50th Hawaii International Conference on System Sciences. Hawaii, 2017.
[6]JIANG P, DING K, LENG J. Towards a Cyber-Physical-Social-connected and Service-oriented Manufacturing Paradigm: Social Manufacturing[J]. Manufacturing Letters, 2016,7:15-21.
[7]程颖, 戚庆林, 陶飞. 新一代信息技术驱动的制造服务管理:研究现状与展望[J]. 中国机械工程, 2018, 29(18):2177-2188.
CHENG Ying, QI Qinglin, TAO Fei. New IT-driven Manufacturing Service Management: Research Status and Prospect[J]. China Mechanical Engineering, 2018, 29(18):2177-2188.
[8]LI P, JIANG P, ZHANG G. An Enhanced DMAIC Method for Feature-driven Continuous Quality Improvement for Multi-stage Machining Processes in One-of-a-kind and Small-batch Production[J]. IEEE ACCESS, 2019, 7:32492-32503.
[9]曹伟, 江平宇, 江开勇, 等. 基于RFID技术的离散制造车间实时数据采集与可视化监控方法[J]. 计算机集成制造系统, 2017，23(2):273-284.
CAO Wei, JIANG Pingyu, JIANG Kaiyong, et al. Radio Frequency Identification-based Real-time Data Collecting and Visual Monitoring for Discrete Manufacturing Workshop[J]. Computer Integrated Manufacturing Systems, 2017，23(2):273-284.
[10]ZHONG R Y, HUANG G Q, LAN S, et al. A Big Data Approach for Logistics Trajectory Discovery from RFID-Enabled Production Data[J]. International Journal of Production Economics, 2015, 165:260-272.
[11]张洁, 高亮, 秦威, 等. 大数据驱动的智能车间运行分析与决策方法体系[J]. 计算机集成制造系统, 2016，22(5): 1220-1228.
ZHANG Jie, GAO Liang, QIN Wei, et al. Big-Data-driven Operational Analysis and Decision-making Methodology in Intelligent Workshop[J]. Computer Integrated Manufacturing Systems, 2016，22(5):1220-1228.
[12]LEE J, BAGHERI B, KAO H. A Cyber-Physical Systems Architecture for Industry 4.0-Based Manufacturing Systems[J]. Manufacturing Letters, 2015,3:18-23.
[13]孙培禄, 江平宇, 陈宝泉, 等. 知识工程驱动的数控加工刀具选配方法研究[J]. 机床与液压, 2017(19):26-29.
SUN Peilu, JIANG Pingyu, CHEN Baoquan, et al. Research on Method of Knowledge Engineering Driven CNC Cutting-tool Selection[J]. Machine Tool & Hydraulics, 2017(19): 26-29.
[14]YE Y, HU T, ZHANG C, et al. Design and Development of a CNC Machining Process Knowledge Base Using Cloud Technology[J]. The International Journal of Advanced Manufacturing Technology, 2018, 94(9/12): 3413-3425.
[15]CHOFREH A G, GONI F A, KLEME J J. A Roadmap for Sustainable Enterprise Resource Planning Systems Implementation (Part Ⅲ)[J]. Journal of Cleaner Production, 2018, 174:1325-1337.
[16]BRYNER M. Smart Manufacturing: the Next Revolution[J]. Chemical Engineering Progress, 2012，10:1-12.
[17]LENG J W, JIANG P Y, ZHANG F Q, et al. Framework and Key Enabling Technologies for Social Manufacturing[J]. Applied Mechanics & Materials, 2013, 312:498-501.
[18]王康周, 彭波, 江志斌. 新一代信息通信技术在装备制造业服务化中的作用:基于我国4家企业的案例研究[J]. 中国机械工程, 2018, 29(18): 2259-2267.
WANG Kangzhou, PENG Bo, JIANG Zhibin. Roles of New Generation of ICT in Servitization of Equipment Manufacturing: a Case Study Based on Four Chinese Companies[J]. China Mechanical Engineering, 2018, 29(18):2259-2267.
[19]WIKIPEDIA. Technology Management[EB/OL].[2018-12-16]. https:∥en.wikipedia.org/wiki/technology_management.
[20]李双珠. 全过程技术创新管理研究——中小型专用设备制造企业技术创新管理[D]. 上海: 同济大学, 2007.
LI Shuangzhu. Research on the Total-process Technical Innovations—the Total-process Technical Innovations in the Small & Medium-sized Special Purpose Machinery Manufacturing Enterprises[D]. Shanghai: Tongji University, 2007.
[21]李智. 面向离散制造过程的数据采集与处理系统研究与设计[D]. 南京: 南京理工大学, 2013.
LI Zhi. Research and Design of Data Acquisition and Processing Systems for Discrete Manufacturing Processes[D]. Nanjing: Nanjing University of Science and Technology, 2013.
[22]SONG Q, WU Y, LIN P, et al. Mining Summaries for Knowledge Graph Search[J]. IEEE Transactions on Knowledge and Data Engineering, 2018, 30(10): 1887-1900.
[23]HAIER. COSMO Plat[EB/OL].[2019-5-10]. https://www.cosmoplat.com/.