Large scale MTConnect data collection

被引:0
|
作者
Cui, Yesheng [1 ]
Kara, Sami [1 ]
Chan, Ka C. [2 ]
机构
[1] Univ New South Wales, Sch Mech & Mfg Engn, Sustainable Mfg & Life Cycle Engn Res Grp, Sydney, NSW, Australia
[2] Univ Southern Queensland, Fac Business Educ Law & Arts, Sch Management & Enterprise, Springfield, Australia
来源
PROCEEDINGS OF THE IEEE 2019 9TH INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS (CIS) ROBOTICS, AUTOMATION AND MECHATRONICS (RAM) (CIS & RAM 2019) | 2019年
关键词
MTConnect; NiFi; data collection; large scale;
D O I
10.1109/cis-ram47153.2019.9095828
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data collection is the first stage of data lifecycle to drive manufacturing activities such as monitoring, prediction and optimization. Data collection at shop floor is more complex since it is affected by both the physical and cyber worlds. Two common issues are: difficult to collect data of various machines which support different interfaces and communication protocols, and hard to analyze inconsistent data. MTConnect provides a standard solution to collect consistent data from various machines and devices. The current MTConnect applications are based on a single computer which is not suitable to collect large-scale MTConnect data. Cloud computing technology can handle this issue easily such as Apache NiFi. In this paper, a NiFi based solution is proposed to address issues of large-scale MTConnect data collection, processing, and long-term storage. The proposed approach also provides a fault tolerant infrastructure for data provenance to ensure historical data integrity for the requirement of enterprise compliance.
引用
收藏
页码:77 / 82
页数:6
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