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Conference Paper IoT-Based Defect Predictive Manufacturing Systems
Cited 7 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Young Jin Kwon, Do Hyun Kim
Issue Date
2017-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.1068-1070
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2017.8190856
Abstract
Recently, attempts have been made to change the paradigm of existing plants by applying ICT to the manufacturing industry. It can be seen as an extension of factory automation, which used to automate production facilities and unmanned work in the past, but Smart Factory is an advanced model to predict and respond to the future situation. In this paper, we propose a controller that is optimized for a specific task so that manufacturing process data can be acquired from production facilities in real - time by a sensor node based on wireless sensor network and a gateway with wired/wireless interface. And describes the design and implementation of smart factory service model.
KSP Keywords
IoT-based, Manufacturing process data, Manufacturing system, Node based, Predictive manufacturing, Production facilities, Sensor node, Service Model, Smart Factory, Wireless sensor networks(WSNs), design and implementation