Authors : Hyeopgeon Lee, Young-Woon Kim and Ki-Young Kim
Abstract: Smart manufacturing uses various equipment ranging from information systems to small sensors with network functions and the type of data collected is also diverse. As a result, there are many studies on data collection techniques that can collect data from each type of equipment. Thus, this study will implement an effective big data collection platform for smart manufacturing. The proposed big data collection platform was designed for collecting various types of data from different types of equipment. The proposed big data collection platform was implemented using Apache Flume and Sqoop to improve data collection and analysis performance compared with existing big data integrated collection platforms.
Hyeopgeon Lee, Young-Woon Kim and Ki-Young Kim, 2017. Implementation of an Efficient Big Data Collection Platform for Smart Manufacturing. Journal of Engineering and Applied Sciences, 12: 6304-6307.