Design and implementation of an intelligent digital manufacturing system based on PaaS and virtual reality technology

被引:2
作者
Li, Liangxi [1 ]
Tang, Chunling [1 ]
机构
[1] Chongqing Technol & Business Inst, Coll Elect & Informat Engn, Chongqing 401520, Peoples R China
关键词
PaaS; Virtual reality technology; Intelligent digitization; Manufacturing system;
D O I
10.1007/s00170-024-14287-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Intelligent manufacturing, as a highly anticipated issue in the industrial community, its supporting technology system is constantly evolving and updating. There are still some issues with the stability, scalability, and maintainability of digital manufacturing systems, which have resulted in their application effects not meeting expectations and participation levels not being satisfactory. This article explores an intelligent digital manufacturing system based on PaaS and virtual reality technology, aiming to improve manufacturing efficiency and quality. This article proposes an optimization algorithm based on virtual reality technology for implementing PaaS automated deployment solutions for managing networks and verifies the excellence of the system and the effectiveness of the algorithm through experiments to explore its development trends and application prospects. By utilizing virtual reality technology and PaaS platform, we can quickly build and simulate a large number of digital manufacturing, and PaaS is a cloud service that provides a system development, deployment, and testing environment. Through the resources provided by the PaaS platform, the design of digital manufacturing systems can be more efficiently completed, achieving digital development and independent deployment of manufacturing systems, and achieving significant application results in improving the scalability, stability, and maintainability of the system.
引用
收藏
页数:13
相关论文
共 18 条
[1]   Efficient Middleware for the Portability of PaaS Services Consuming Applications among Heterogeneous Clouds [J].
Bharany, Salil ;
Kaur, Kiranbir ;
Badotra, Sumit ;
Rani, Shalli ;
Kavita ;
Wozniak, Marcin ;
Shafi, Jana ;
Ijaz, Muhammad Fazal .
SENSORS, 2022, 22 (13)
[2]   A review of digital manufacturing-based hybrid additive manufacturing processes [J].
Chong, Li ;
Ramakrishna, Seeram ;
Singh, Sunpreet .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 95 (5-8) :2281-2300
[3]   Smart manufacturing, manufacturing intelligence and demand-dynamic performance [J].
Davis, Jim ;
Edgar, Thomas ;
Porter, James ;
Bernaden, John ;
Sarli, Michael .
COMPUTERS & CHEMICAL ENGINEERING, 2012, 47 :145-156
[4]  
Dunlap R., 2017, J INFORM TECHNOLOGY, V7, P29
[5]   Digital manufacturing systems: a framework to improve social sustainability of a production site [J].
Gregori, Fabio ;
Papetti, Alessandra ;
Pandolfi, Monica ;
Peruzzini, Margherita ;
Germani, Michele .
MANUFACTURING SYSTEMS 4.0, 2017, 63 :436-442
[6]   Factories of the future: challenges and leading innovations in intelligent manufacturing [J].
Jardim-Goncalves, Ricardo ;
Romero, David ;
Grilo, Antonio .
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2017, 30 (01) :4-14
[7]  
[金克帆 Jin Kefan], 2018, [中国舰船研究, Chinese Journal of Ship Research], V13, P1
[8]   Towards a security-enhanced PaaS platform for multi-cloud applications [J].
Kritikos, Kyriakos ;
Kirkham, Tom ;
Kryza, Bartosz ;
Massonet, Philippe .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 67 :206-226
[9]   A Review of Modern Communication Technologies for Digital Manufacturing Processes in Industry 4.0 [J].
Kurfess, Thomas R. ;
Saldana, Christopher ;
Saleeby, Kyle ;
Dezfouli, Mahmoud Parto .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2020, 142 (11)
[10]   Enjoy your observability: an industrial survey of microservice tracing and analysis [J].
Li, Bowen ;
Peng, Xin ;
Xiang, Qilin ;
Wang, Hanzhang ;
Xie, Tao ;
Sun, Jun ;
Liu, Xuanzhe .
EMPIRICAL SOFTWARE ENGINEERING, 2022, 27 (01)