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Conference Paper IoT-Based Defect Predictive Manufacturing Systems
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Authors
Youngjin Kwon, Kim Do Hyun
Issue Date
201710
Source
International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.1068-1070
DOI
https://dx.doi.org/10.1109/ICTC.2017.8190856
Project Code
17ZS1600, Smart digital cockpit system for electric vehicle, Kim Do Hyun
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, Static wireless sensor networks(WSNs), design and implementation