Cloud-end Cooperative Manufacturing and Simulation Application in Electrical Equipment Industry

doi:10.16182/j.issn1004731x.joss.18-0613

Abstract

Abstract: Electrical equipment manufacturing industry hopes to achieve cloud-end cooperative manufacturing of the whole industry chain services by means of national network e-commerce cloud platform. On the basis of explaining the role of simulation in cloud-end cooperative manufacturing, this paper analyses the practical problems faced by enterprises in electrical equipment industry to realize cloud-end cooperative manufacturing, and presents effective solutions and overall solution; all kinds of the necessary application services are provided, which coincide with the actual requirement of electrical equipment manufacturing industry; and the research results of the key problems for realization about them are introduced. The overall industry chain service process is constructed. The practical application situation and application effect of an electrical equipment manufacturing enterprise cloud-end cooperative manufacturing and simulation verification are given.

Key words: cloud-end cooperative manufacturing, simulation verification, State Grid e-commerce cloud platform, electrical equipment manufacturing industry

CLC Number:

TP319

Shi Ruijie, Zou Ping, Wu Xike, Liu Gang, Gao Chen, Zhang Junyuan, Li Lin, Guo Li. Cloud-end Cooperative Manufacturing and Simulation Application in Electrical Equipment Industry[J]. Journal of System Simulation, 2019, 31(4): 771-786.

References

[1] 周济. 智能制造——“中国制造2025”的主攻方向[J]. 中国机械工程, 2015, 26(17): 2273-2284.
Zhou Ji.Intelligent Manufacturing -- Main Direction of“Made in China 2025”[J]. China Mechanical Engineering, 2015, 26(17): 2273-2284.
[2] 李伯虎, 张霖,任磊, 等. 云制造典型特征、关键技术与应用[J]. 计算机集成制造系统, 2012, 18(7): 1345-1356.
Li Bohu, Zhang Lin, Ren Lei, et al.Typical characteristics, technologies and applications of cloud manufacturing[J]. Computer Integrated Manufacturing Systems, 2012, 18(7): 1345-1356.
[3] 李伯虎, 柴旭东, 张霖, 等. 智慧云制造: 工业云的智造模式和手段[J]. 中国工业评论, 2016(增1): 58-66.
Li Bohu, Chai Xudong, Zhang Lin, et al.Smart Cloud Manufacturing: The Model and Means of Smart Cloud Manufacturing[J]. China industry review, 2016(S1): 58-66.
[4] 王云霞, 邱胜海, 李光荣. 面向服务的企业云资源建模方法的研究[J]. 制造业自动化, 2014, 36(24): 67-71.
Wang Yunxia, Qiu Shenghai, Li Guangrong.Research on service-oriented modeling technology of cloud manufacturing resources[J]. Manufacturing Automation, 2014, 36(24): 67-71.
[5] 舒金龙. 基于云制造的工业互联网建设与实践[N]. 中国企业报, 2018-06-19.
Shu Jinlong. Construction and Practice of Industrial Internet Based on Cloud Manufacturing[N]. Chian Enterprise News, 2018-06-19.
[6] 杨晨, 李伯虎, 柴旭东, 等. 面向云制造的云仿真支撑框架及应用过程模型[J]. 计算机集成制造系统, 2012, 18(7): 1444-1452.
Yang Chen, Li Bohu, Chai Xudong, et al.Cloud manufacturing oriented cloud simulation supporting framework and its application process model[J]. Computer Integrated Manufacturing Systems, 2012, 18(7): 1444-1452.
[7] 张霖, 周龙飞. 制造中的建模仿真技术[J]. 系统仿真学报, 2018, 30(6): 1997-2012.
Zhang Lin, Zhou Longfei.Modeling & Simulation Technology in Manufacturing[J]. Journal of System Simulation, 2018, 30(6): 1997-2012.
[8] 连志刚, 顾幸生. 云智造——基于云架构的智能制造[J]. 智能制造, 2018(增1): 22-27.
Lian Zhigang, Gu Xingsheng.Cloud Zhizao---Intelligent Manufacturing Based on Cloud Architecture[J]. Intelligent Manufacturing, 2018(S1): 22-27.
[9] 何锐, 魏艳. 基于车间群的船体分段建造生产计划仿真与优化[J]. 科技通报, 2018, 34(10): 140-143.
He Rui,Wei Yan.Simulation and Optimization of Production Schedule for Ship Block Manufacturing Based on Workshop Group[J]. Bulletin of Science and Technology, 2018, 34(10): 140-143.
[10] 朱永祥. 基于仿真技术的生产计划及资源调度优化研究[C]// 中国造船工程学会(CSNAME), 2015年CAD/CAM学术交流会议论文集. 北京:中国造船工程学会, 2015: 5.
Zhu Yongxiang.Research on Production Planning and Resource Scheduling Optimization Based on Simulation Technology[C]// The Chinese Society of Naval Architects and Marine Engineers (CSNAME), Proceedings of the 2015 CAD/CAM Academic Exchange Conference. Beijing, China: The Chinese Society of Naval Architects and Marine Engineers (CSNAME), 2015: 5.
[11] 孟令玺, 孟令威. 云计算下的资源负载均衡性调度仿真[J]. 计算机仿真, 2018, 35(4): 386-389.
Meng Lingxi, Meng Lingwei.Simulation of Resource Load Balancing Scheduling under Cloud Computing[J]. Computer Simulation, 2018, 35(4): 386-389.
[12] 何丽, 孙文磊, 王晓斌. 云模式下仿真设计资源的虚拟化与服务化[J]. 机械设计与制造, 2016(9): 266-268, 272.
He Li, Sun Wenlei, Wang Xiaobin.Virtualization and Servitization of Simulation Design Resources on Cloud Mode[J]. Machinery Design ＆ Manufacture, 2016(9): 266-268, 272.
[13] 李伯虎, 柴旭东, 张霖, 等. 面向新型人工智能系统的建模与仿真技术初步研究[J]. 系统仿真学报, 2018, 30(2): 349-362.
Li Bohu, Chai Xudon, Zhang Lin, et al.Preliminary Study of Modeling and Simulation Technology Oriented to Neo-type Aritificial Intelligent Systems[J]. Machinery Design ＆ Manufacture, 2018, 30(2): 349-362.
[14] 胡月梅. JIT生产模式下多品种小批量混流装配线计划排序研究[D]. 长春: 长春工业大学, 2015.
Hu yuemei. Research on mixed-model assembly line’s sorting of many varieties and small Batch based on JIT[D]. Changchun: Changchun University of Technology, 2015.
[15] 赵东方, 张帅, 高阿曼. 面向柔性提升的生产单元仿真建模及评价方法研究[J]. 贵州师范大学学报(自然科学版), 2018, 36(3): 108-114.
Zhao Dongfang, Zhang Shuai, Gao Aman.Research on the evaluation method of modeling and simulation for the manufacturing cells flexibility[J]. Journal of Guizhou Normal University (Natural Sciences), 2018, 36(3): 108-114.
[16] 黄俊生, 广晓平. 关于生产车间作业优化调度效率仿真研究[J]. 制造业自动化, 2017, 39(10): 95-99.
Huang Junsheng, Guang Xiaoping.Study on simulation of job shop optimization schedule efficiency problem[J]. Manufacturing Automation, 2017, 39(10): 95-99.
[17] 赵振杰, 闫月辉, 王浩, 等. 基于XML的异构PDM平台数据交换技术[J]. 智能制造, 2017(4): 35-38.
Zhao Zhenjie, Yan Yuehui, Wang Hao, et al.Data Exchange Technology of Heterogeneous PDM Platform Based on XML[J]. Intelligent Manufacturing, 2017(4): 35-38.
[18] 叶启付, 李国丛, 单振刚, 等. 多品种小批量壳体生产单元布局仿真优化[J]. 航天制造技术, 2015(6): 53-57.
Ye Qifu, Li Guocong, Shan Zhengang, et al.Simulation and Optimization in A Multi-varieties and Small-batch Shell Manufacturing Cells Layout[J]. Aerospace Manufacturing Technology Aerosp Manuf Technol, 2015(6): 53-57.
[19] 刘航. 云模块化产品制造服务平台关键技术设计[J]. 科技通报, 2017, 33(2): 113-116.
Liu Hang.Key Technology Design of Cloud Modular Product Manufacturing Service Platform[J]. BULLETIN OF SCIENCE AND TECHNOLOGY, 2017, 33(2): 113-116.