Real Time Monitoring System of Cargo Oil Pump Integrated with Internet of Things (IoT) Technology

Azori, Thariq Farrel Gustia (2024) Real Time Monitoring System of Cargo Oil Pump Integrated with Internet of Things (IoT) Technology. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Dalam bisnis pelayaran, kapal niaga mempunyai jadwal dan rencana yang telah ditetapkan oleh perusahaan pelayaran, baik tiba maupun berangkat di masing-masing pelabuhan. Jika terjadi keterlambatan dari jadwal yang telah ditentukan maka perusahaan akan mengalami kerugian. Kelancaran bongkar muat menjadi faktor utama dalam menunjang kegiatan operasional kapal, apabila salah satu komponen pompa minyak kargo mengalami kerusakan maka dapat mengakibatkan menurunnya kinerja pompa minyak kargo. Misalnya saja kebocoran pada sil mekanik, kerusakan pada bearing, kerusakan pada impeler, hingga kerusakan pada bagian penggerak pompa seperti motor listrik. Hal ini akan menyebabkan pompa minyak kargo tidak dapat dioperasikan dan berdampak pada proses bongkar muat. Sistem real-time monitoring yang terintegrasi dengan Internet of Things (IoT) telah merevolusi berbagai industri dengan memungkinkan pelacakan data penting secara terus-menerus dan jarak jauh secara real-time. Sistem ini memanfaatkan perangkat dan sensor yang saling terhubung untuk mengumpulkan, mengirimkan, dan menganalisis informasi secara instan, memberikan wawasan berharga untuk pengambilan keputusan proaktif dan optimalisasi proses. Penelitian ini bertujuan untuk membuat sistem monitoring real-time yang terintegrasi dengan Internet of Things (IoT) pada pompa minyak kargo berupa percobaan skala lab menggunakan sensor untuk mengambil data dari parameter tekanan isap, tekanan keluar, aliran, dan suhu. Setelah itu, data akan didigitalkan oleh mikrokontroler Arduino Mega Pro 2560 yang sudah terpasang pada PCB, dan dikirimkan ke Blynk cloud server melalui koneksi internet menggunakan modul SIM800L dengan koneksi GPRS. Data parameter akan divisualisasikan pada platform web Blynk dari server cloud.
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In the shipping business, commercial ships have schedules and plans that have been set by the shipping company, whether arriving or departing at each port. If there is a delay from the predetermined schedule, the company will suffer a loss. The smooth loading and unloading are the main factors in supporting the ship's operational activities, if one component of the cargo oil pump is damaged it can result in a decrease in the performance of the cargo oil pump. For example, leaks in mechanical seals, damage to bearings, damage to impellers, and damage to pump drive parts, such as the electromotor. This will cause the cargo oil pump to be inoperable and have an impact on the loading and unloading process. Real-time monitoring systems that are integrated with the Internet of Things (IoT) have revolutionized various industries by enabling continuous and remote tracking of critical data in real time. These systems leverage interconnected devices and sensors to collect, transmit, and analyze information instantaneously, providing valuable insights for proactive decision-making and process optimization. This research aims to create a real-time monitoring system that is integrated with the Internet of Things (IoT) on a cargo oil pump in the form of a lab-scale experiment using sensors to retrieve data from the parameters of suction pressure, discharge pressure, flow, and temperature. After that, the data will be digitalized by the microcontroller Arduino Mega Pro 2560 which is already installed on the PCB, and transmitted to the Blynk cloud server via an internet connection using a SIM800L module with GPRS connection. Parameter data will be visualized on the web platform Blynk from the cloud server.

Item Type:	Thesis (Other)
Additional Information:	RSSP 621.69 THA r 2024
Uncontrolled Keywords:	Cargo Oil Pump, Internet of Things (IoT), Real-Time Monitoring,Pompa Minyak Kargo, Internet of Things (IoT), Real-Time Monitoring
Subjects:	V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions:	Faculty of Marine Technology (MARTECH) > Marine Engineering > 36202-(S1) Undergraduate Thesis
Depositing User:	Thariq Farrel Gustia Azori
Date Deposited:	19 Feb 2024 04:31
Last Modified:	14 Nov 2024 05:35
URI:	http://repository.its.ac.id/id/eprint/107508

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