Embedded system design of heterogeneous network with IoT and M2M

碩士 === 國立虎尾科技大學 === 資訊工程系碩士班 === 105 === Following the trend of Industry 4.0, a future factory will adapt itself from ‘automated manufacturing’ into ‘smart-automated manufacturing’. Thus, this paper aims to create a system that integrates the traditional refined mechanics with the Internet of Things...

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Bibliographic Details
Main Authors: Bo-Jhen Li, 李柏箴
Other Authors: 許永和
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/3ruesc
Description
Summary:碩士 === 國立虎尾科技大學 === 資訊工程系碩士班 === 105 === Following the trend of Industry 4.0, a future factory will adapt itself from ‘automated manufacturing’ into ‘smart-automated manufacturing’. Thus, this paper aims to create a system that integrates the traditional refined mechanics with the Internet of Things (IoT) and Machine to Machine (M2M). Based on the concept of Industry 4.0, the ultimate goal is to integrate 3D printer with the smart factory. In the smart 3D printer factory, the internal production line could be divided into five stations, using embedded development platform as the gateway to connect the heterogeneous network and process the protocol translation. The MQTT communication protocol is used to establish communication between the stations in order to create a heterogeneous network of Modbus and UART as well as WIFI. Due to the fact that most of the traditional machines of refined mechanics are expensive and not smart at all, this research designs an IoT module embedded on the machines at the five stations, making the traditional machines become smart. With M2M and IoT network connection to connect the stations together, this creates the communication between these stations. Then connecting the smart production line with any smart handheld device could enable customers to customize their products from design, manufacturing to shipment. Moreover, factory staff can also monitor the production line via the computer program. Therefore, the loss caused by machine failure or crash could be reduced with even less human resources to conduct the data collection and analysis. In the end, a smart manufacturing factory is realized to be ‘customized’ and ‘unmanned’ as an ultimate goal of smart manufacturing in the era of Industry 4.0.