Monitoring Heavy Equipment Coolant Temperature to Prevent Engine Overheat Using IoT

Yuni, Robi Tubagus and Hendriana, Dena and Nandar, Cuk Supriyadi Ali (2021) Monitoring Heavy Equipment Coolant Temperature to Prevent Engine Overheat Using IoT. Masters thesis, Swiss German University.

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Abstract

All heavy equipment, including bulldozers, are expected to always be ready to operate and have maximum performance. However, there are still many bulldozers that have problems, one of which is engine overheating. This overheating can be caused by a reduced amount of coolant due to a leak or an inappropriate cooling fan rotation speed due to a loose fan belt. This study aims to monitor and provide early warning of rising coolant temperature along with the possibility of reducing the amount of coolant and decreasing the cooling fan rotational speed. This research was conducted by developing monitoring and warning devices, apart from being known by the operator, it can also be known by the maintenance department in a different place with the use of IoT. The result showed E18-D80NK proximity sensor can be used to read the cooling fan rotation speed. In addition, a contactless liquid water level sensor module XKC-Y25-V can be used to determine the coolant level in the sub tank/reservoir. On the other hand, NodeMCU V3 ESP8266 can be used with the Blynk application as an IoT platform, to be able to send information from sensors to Android.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Blynk, Contactless Liquid Level Sensor , E18-D80NK, Engine Overheat, NodeMCU
Subjects: Q Science > QC Physics > QC271 Temperature measurements
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 > TK7872 Sensor Networks
Divisions: Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User: Faisal Ifzaldi
Date Deposited: 17 Jan 2022 07:30
Last Modified: 17 Jan 2022 07:30
URI: http://repository.sgu.ac.id/id/eprint/2323

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