文章基本信息

标题：Prediction of potential fire hot spots by using a model based on a computerized real–time view with IR cameras on ships
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作者：Miroslav Bistrović ; Pančo Ristov ; Domagoj Komorčec 等
期刊名称：Scientific Journals of the Maritime University of Szczecin
印刷版ISSN：1733-8670
电子版ISSN：2392-0378
出版年度：2017
卷号：50
页码：23-29
DOI：10.17402/212
语种：English
出版社：MUS
摘要：One of the key benefits of using thermal imaging is the ability to predict possible fire hazards due to increases in temperature in controlled areas in a particular marine facility or system.This study proposes the possibility of applying new electronic and computer technology as part of a ship’s fire detection system,such as the use of computer vision,using existing marine CCTV systems and installing thermal imaging IR cameras on the same system.It also proposes communication between the CCTV system and the fire detection and central alarm system of a ship.In addition to visual analysis of certain areas on board the ship and the related facilities inside it,with the addition of certain software applications into the existing CCTV system,the system itself becomes a fire alarm system,with the potential to forecast and send early warnings to the ship’s central fire alarm system in real time,thereby contributing to improved safety with regards to various areas,equipment,the ship as a whole,cargo and human lives.
其他摘要：Penelitian ini merupakan penelitian ex post facto yang bertujuan untuk mengetahui pengaruh learning organization,kualifikasi pendidikan,dan pengalaman kerja terhadap peningkatan kinerja karyawan di Balai Penelitian dan Pengembangan Sumber Daya Lahan Pertanian (BBSDLP) Bogor khususnya di bidang pelayanan publik.Hasil penelitian menunjukkan bahwa learning organization,kualifikasi pendidikan,dan pengalaman kerja secara bersama–sama memiliki pengaruh yang signifikan terhadap kinerja.Secara parsial,learning organization dan pengalaman kerja memiliki pengaruh yang signifikan sedangkan kualifikasi pendidikan sebaliknya..
关键词：video technology;computer vision;infrared cameras;thermal imaging;emissivity;CCTV system