Authors : Jeong-Joon Kim, Deuk-Woo Lee, Dong-Beom Ko, Sung-Il Jeong and Jeong-Min Park
Abstract: This study will design a big data platform for the high reliability smart factory. With the advent of the fourth industrial revolution, the interest and demand for autonomic control systems are increasing. Autonomic control system in order to establish an accurate diagnosis and error response for the target system, the machine requires a machine learning through big data. But now big data platform cannot guarantee the reliability of the data because there is not enough data verification. In addition, existing facilities need a uniform standard because the format for data collection differs depending on the manufacturer. Therefore, this study designs a reliable big data platform for autonomic control engine using manufacturing facility data standard. Through this, pattern recognition of autonomic control engine using reliable data, machine learning, accurate diagnosis of system and countermeasure strategy against error can be established.
Jeong-Joon Kim, Deuk-Woo Lee, Dong-Beom Ko, Sung-Il Jeong and Jeong-Min Park, 2017. An Autonomic Computing based on Big Data Platform for High-Reliable Smart Factory. Journal of Engineering and Applied Sciences, 12: 2662-2666.