Aziz, Mochamad Hamdan and Hendriana, Dena (2021) Periodic Maintenance Monitoring System Using IoT for Komatsu Bulldozer. Masters thesis, Swiss German University.

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Abstract

Each heavy equipment requires regular maintenance to maintain the lifetime of the component to reach recommended machine life by the manufacturer. By carrying out routine regular maintenance, we can prevent premature damage for every single part of the heavy equipment which is called Preventive Maintenance. By design periodic maintenance monitoring and notification system using working hour data, engine oil analysis and send it through IoT, users and distributors will be able to get early warning and carry out the periodic maintenance as soon as possible, so that it will reduce the potential for delays in the implementation of periodic service and preventing damage of component. Digital hour meter is created as a reference to monitor working hours and periodic service schedule notifications. Oil Property Sensor FPS2800 is also used to monitor oil quality. Both data are sent wirelessly using LoRa and received by the receiving device using NodeMCU. The Blynk app was used in this study as a viewer for data sent in real time through android devices.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Blynk App, Internet of Things, LoRa, Oil Property Sensor, Periodic Maintenance Monitoring
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105 Web Sites-Design > TK5105.875 Internet T Technology > TS Manufactures > TS192 Plant maintenance--Management
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Faisal Ifzaldi
Date Deposited:	17 Jan 2022 07:15
Last Modified:	17 Jan 2022 07:15
URI:	http://repository.sgu.ac.id/id/eprint/2321

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