IoT-Based Defect Predictive Manufacturing Systems

被引：0

作者：

Kwon, Young Jin ^{[1
]}

Kim, Do Hyun ^{[1
]}

机构：

[1] Elect & Telecommun Res Inst, Ind IT Convergence Res Grp, Daejeon, South Korea

来源：

2017 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC) | 2017年

关键词：

Wireless Sensor Network; Industrial IoT; Manufacturing Process;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：1067 / 1069

页数：3

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