BROWSE
Detail
Conference Paper
Data Integration and Arrangement in the Shop Floor Based-On Time Stamp: An Illustrative Study of CNC Machining
Cited 2 time in 
Share 
Share
- Authors
- Rockwon Kim, Su-young Chi, Wan C. Yoon
- Issue Date
- 2016-07
- Citation
- International Conference on Ubiquitous and Future Networks (ICUFN) 2016, pp.121-124
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- 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).
- KSP Keywords
- CNC Machining, Data arrangement, Data sets, Different frequency, High frequency(HF), High frequency data, Low frequency, Measurement value, Relational Database(RDB), Relational Database Management System(RDBMS), Spindle speed