Design of an Automated System for Door Set Measurement Using IoT Technologies: A Manufacturer’s Perspective

Publication Name

Lecture Notes in Electrical Engineering

Abstract

Small and medium-sized based manufacturing industry, despite being the most important industry in an economy is still grappling with unsteady processes, futile effort on controlling disturbances and erroneous deviation of its end-product resulting in waste of raw materials. Thus, necessitates to push Industry 4.0 (I4.0) higher at their agenda to increase manufacturing efficiency. Considering this, the manufacturer in this study is a mid-tier supplier of high-quality wood door for residential spaces and who frequently deals with modular and customizable door sets. This study makes the following contributions: (1) develop a microcontroller-driven automated system to accurately measure dimensions of door sets; (2) establish a communication to store-retrieve raw data using IoT technologies and (3) develop graphical user interface as diagnostic tool that generates statistical reports as data analytics. A low-cost ESP8266 (ESP) microcontroller Wi-Fi module interfaces with a rotary encoder used to monitor the displacement of door set for error deviation. Data is sent using IoT-based ThingSpeak application. Results satisfactorily record accuracy on error deviation which set between 0 and 0.6 mm based on the percentages of doors. Statistical reports, such as error deviation, percentage of doors within the allowed error, and production rate were remotely accessed to gauge productivity status. Emerging technologies of automation and Internet of Things that underpin concepts introduced by I4.0 are viewed as an antidote to manufacturing issues as it facilitates the creation of smart monitoring and controlling system for improved productivity yield.

Open Access Status

This publication is not available as open access

Volume

1142

First Page

239

Last Page

253

Funding Sponsor

University of Western Macedonia

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Link to publisher version (DOI)

http://dx.doi.org/10.1007/978-981-99-9833-3_17