Perancangan Sistem Monitoring Terintegrasi Komponen Kritis EV RC Pushback Tug Berbasis Industrial Internet of Things (IIoT)

Arif, Maulana (2024) Perancangan Sistem Monitoring Terintegrasi Komponen Kritis EV RC Pushback Tug Berbasis Industrial Internet of Things (IIoT). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Electric Vehicle (EV) Remote Controlled (RC) Pushback Tug sebagai Ground Handling Equipment (GSE) merupakan alat yang digunakan untuk ground handling pada aktivitas aviasi komersil dan Maintenance, Repair, and Overhaul (MRO). EV RC Pushback tug dikembangkan untuk mengatasi isu keselamatan dan efisiensi total biaya operasional mobilisasi pesawat di fasilitas bandara ataupun MRO. Sebagai sebuah GSE, EV RC Pushback tug diwajibkan dalam keadaan yang andal selama beroperasi untuk minimalisasi terjadinya sebuah kecelakaan dan kerugian operasional lainnya sehingga diperlukan pengawasan secara berkelanjutan terhadap komponen-komponen kritis yang berimplikasi terhadap performa operasional. Oleh karena itu, sistem monitoring terintegrasi berbasis Industrial Internet of Things (IIoT) dirancang untuk melakukan pengawasan secara langsung terhadap performa EV RC Pushback tug melalui transmisi data sensor pada komponen Critical-to-Quality (CTQ). Perancangan sistem dilakukan melalui integrasi koneksi data sensor untuk ditampilkan dalam sebuah dashboard berbasis HyperText MarkUp Language (HTML) dan pencatatan data historis sensor. Pengembangan sistem terintegrasi ini mengaplikasikan protokol Message Queuing Telemetry Transport (MQTT) sebagai jaringan penghubung antara node publisher/subscriber, yakni ESP8266 dan Raspberry Pi dengan Thingspeak sebagai platform pengembangan Graphic User Interface (GUI) dan query data. Berdasarkan analisis CTQ, terdapat beberapa parameter data operasional dari komponen kritis yang teridentifikasi, yakni level oli hidrolik pada hydraulic reservoir, suhu dan Rotation per Minute (RPM) Motor BLDC drivetrain dan lifting system, serta suhu pada baterai secara real-time sebagai representasi performa EV RC Pushback Tug berdasarkan intended function terkait endurance GSE. Data operasional ditampilkan melalui dua dashboard, yakni Operational Dashboard dan Data Trend Dashboard. Prototipe rancangan sistem monitoring diuji dengan orientasi dua parameter dengan justifikasi performa yang reliable, yakni latency transmisi data sebesar 3,58 detik dan Mean Squarred Error (MSE) sebesar 6 melalui pengujian operasional menggunakan sensor DHT-11 dalam kondisi ideal selama 10 menit.
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The Electric Vehicle Remote Controlled Pushback Tug as Ground Handling Equipment (GSE) is a tool used for ground handling activities in either commercial aviation or Maintenance, Repair, and Overhaul (MRO). The EV RC Pushback tug was developed to address safety and overall operational cost efficiency issues during the aircraft mobilization process at airport facilities or MRO. As a GSE, the EV RC Pushback tug is required to be reliable during operation to minimize accidents and other operational losses. Continuous monitoring of critical components in which affecting operational performance is essential. Therefore, an Industrial Internet of Things (IIoT)-based integrated monitoring system is designed to directly supervise the performance of the EV RC Pushback tug by transmitting sensor data on Critical-to-Quality (CTQ) components in real-time. The system design involves integrating sensor data connections to be displayed on a HyperText MarkUp Language (HTML)-based dashboard and recording historical sensor data. The development of this integrated system applies the Message Queuing Telemetry Transport (MQTT) protocol as the intermediarry between publisher/subscriber nodes, namely ESP8266 and Raspberry Pi with Thingspeak as a Graphic User Interface (GUI) platform and historical data query tool as a reference for EV RC Pushback Tug maintenance policy. Based on CTQ analysis, there are several monitored operational data parameters of identified critical components, such as oil level of hydraulic reservoir, temperature and Rotation per Minute (RPM) of drive train and lifting system Motor BLDC, battery temperature in real-time as EV RC Pushback Tug performance representation due to its intended function related to GSE’s endurance. These data are displayed on two dashboards, namely Operational Dashboard and Data Trend Dashboard. The designed monitoring system protoype was tested oriented to two paramaters which shown a reliable performance based on the test result which are a data transmission latency of 3,58 seconds and a Mean Squared Error (MSE) of 6, through operational testing using the DHT-11 sensor under ideal conditions for 10 minutes.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	EV RC Pushback Tug, GSE, Sistem Monitoring, IIoT, MQTT, Thingspeak, Monitoring System
Subjects:	T Technology > T Technology (General) > T385 Visualization--Technique T Technology > T Technology (General) > T57.5 Data Processing T Technology > T Technology (General) > T58.5 Information technology. IT--Auditing T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL221.5 Hybrid Vehicles. Hybrid cars
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Maulana Arif
Date Deposited:	17 Jul 2024 07:41
Last Modified:	17 Jul 2024 07:41
URI:	http://repository.its.ac.id/id/eprint/108404

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