Unmanned Engine Room Surveillance Using an Autonomous Mobile Robot

With the rapid advances in science and technology, ships that do not require any crew on board (i.e., autonomous ships) are being actively researched. Several studies on unmanned ships are in progress, and unmanned engine room studies are also being conducted. These studies mainly focus on engine fa...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Journal of Marine Science and Engineering
المؤلفون الرئيسيون: Seon-Deok Kim, Cherl-O Bae
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2023-03-01
الموضوعات:
الوصول للمادة أونلاين:https://www.mdpi.com/2077-1312/11/3/634
_version_ 1850090496540540928
author Seon-Deok Kim
Cherl-O Bae
author_facet Seon-Deok Kim
Cherl-O Bae
author_sort Seon-Deok Kim
collection DOAJ
container_title Journal of Marine Science and Engineering
description With the rapid advances in science and technology, ships that do not require any crew on board (i.e., autonomous ships) are being actively researched. Several studies on unmanned ships are in progress, and unmanned engine room studies are also being conducted. These studies mainly focus on engine failure prediction and diagnosis, but have not paid sufficient attention to various abnormal situations. Accordingly, this study focusses on the surveillance of engine rooms and abnormal situations using autonomous mobile robots. The abnormal situation considered in this study was a fire that could be highly dangerous if it occurred in the ship’s engine room. A map of the engine room was created using an autonomous robot, and when a destination was set on the map, a path was found, and the engine room was surveilled by autonomously moving by tracking the path. When a fire is detected during surveillance, the coordinates of the fire are converted so that the autonomous mobile robot can use them and move to a new destination. Experiments were conducted to evaluate the autonomous mobile robot’s movement performance, fire detection performance, and performance in the engine room. In terms of movement performance evaluation, the arrival rate to the destination was 88% on average, and the fire detection performance was a 0.9833 detection rate, 0 false alarm rate, and 0.9916 accuracy. The performance evaluation in the engine room confirmed that the fire was detected while driving, and the destination was changed to a new destination by coordinate conversion and driving was performed autonomously. Through this, it was confirmed that it is possible to surveil the engine room using an autonomous mobile robot, which contributes towards the development of unmanned engine room and ship safety.
format Article
id doaj-art-e7ca7c0e12514b05ba89ca8da2e95335
institution Directory of Open Access Journals
issn 2077-1312
language English
publishDate 2023-03-01
publisher MDPI AG
record_format Article
spelling doaj-art-e7ca7c0e12514b05ba89ca8da2e953352025-08-20T00:09:09ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-03-0111363410.3390/jmse11030634Unmanned Engine Room Surveillance Using an Autonomous Mobile RobotSeon-Deok Kim0Cherl-O Bae1Division of Marine Engineering, Mokpo National Maritime University, Mokpo 58628, Republic of KoreaDivision of Coast Guard, Mokpo National Maritime University, Mokpo 58628, Republic of KoreaWith the rapid advances in science and technology, ships that do not require any crew on board (i.e., autonomous ships) are being actively researched. Several studies on unmanned ships are in progress, and unmanned engine room studies are also being conducted. These studies mainly focus on engine failure prediction and diagnosis, but have not paid sufficient attention to various abnormal situations. Accordingly, this study focusses on the surveillance of engine rooms and abnormal situations using autonomous mobile robots. The abnormal situation considered in this study was a fire that could be highly dangerous if it occurred in the ship’s engine room. A map of the engine room was created using an autonomous robot, and when a destination was set on the map, a path was found, and the engine room was surveilled by autonomously moving by tracking the path. When a fire is detected during surveillance, the coordinates of the fire are converted so that the autonomous mobile robot can use them and move to a new destination. Experiments were conducted to evaluate the autonomous mobile robot’s movement performance, fire detection performance, and performance in the engine room. In terms of movement performance evaluation, the arrival rate to the destination was 88% on average, and the fire detection performance was a 0.9833 detection rate, 0 false alarm rate, and 0.9916 accuracy. The performance evaluation in the engine room confirmed that the fire was detected while driving, and the destination was changed to a new destination by coordinate conversion and driving was performed autonomously. Through this, it was confirmed that it is possible to surveil the engine room using an autonomous mobile robot, which contributes towards the development of unmanned engine room and ship safety.https://www.mdpi.com/2077-1312/11/3/634autonomous mobile robotunmanned engine roomsurveillanceautonomous ship
spellingShingle Seon-Deok Kim
Cherl-O Bae
Unmanned Engine Room Surveillance Using an Autonomous Mobile Robot
autonomous mobile robot
unmanned engine room
surveillance
autonomous ship
title Unmanned Engine Room Surveillance Using an Autonomous Mobile Robot
title_full Unmanned Engine Room Surveillance Using an Autonomous Mobile Robot
title_fullStr Unmanned Engine Room Surveillance Using an Autonomous Mobile Robot
title_full_unstemmed Unmanned Engine Room Surveillance Using an Autonomous Mobile Robot
title_short Unmanned Engine Room Surveillance Using an Autonomous Mobile Robot
title_sort unmanned engine room surveillance using an autonomous mobile robot
topic autonomous mobile robot
unmanned engine room
surveillance
autonomous ship
url https://www.mdpi.com/2077-1312/11/3/634
work_keys_str_mv AT seondeokkim unmannedengineroomsurveillanceusinganautonomousmobilerobot
AT cherlobae unmannedengineroomsurveillanceusinganautonomousmobilerobot