Paper Info
Title
Data integration and arrangement in the shop floor based-on time stamp: An illustrative study of CNC machining
Abstract
According to the occurrence period of data in the shop floor, it can be classified into two types: the low-frequency data such as the measurement value and the high-frequency data such as the spindle speed. For the statistical processing or analysis required at the manufacturing site preferentially these two types of data, in which each has its own time-stamp, have to be integrated and arranged. In this paper, we introduce a simple data arrangement algorithms through the comparison of time slots between time stamped data sets that have different frequencies. In order to collect data that meets a desired cycle in the system to handle the collection and arrangement of the data at the same time it should be able to monitor the workload of the system. We show the experimental results (or workload) of proposed algorithms for the case of managing time stamped data sets on the relational database management system (RDBMS).
Year
DOI
Venue
2016
10.1109/ICUFN.2016.7536998
2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN)
Keywords
Field
DocType
data integration,shop floor based-on time stamp,CNC machining,low-frequency data,measurement value,high-frequency data,spindle speed,statistical processing,time-stamp,data arrangement algorithms,time stamped data sets,relational database management system,RDBMS
Data integration,Data mining,Data set,Numerical control,Computer science,Workload,Machining,Data type,Relational database management system,Timestamp
Conference
ISSN
ISBN
Citations 
2165-8528
978-1-4673-9992-0
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
Rockwon Kim112.06
Suyoung Chi25712.88
Wan Chul Yoon314719.80