Use of Automatic Identification System as a Source of Information to Avoid Ships’ Collisions at Sea

2018 ◽  
pp. 411-425 ◽  
Author(s):  
Ryszard Wawruch
Keyword(s):  
Automatic Identification ◽  
Identification System ◽  
Automatic Identification System ◽  
Source Of Information

scholarly journals Akuisisi Data NMEA 0183 AIS Berbasis Mikrokontroler sebagai Sistem Monitoring Informasi Kapal

2019 ◽  
Vol 7 (1) ◽  
pp. 97
Author(s):  
ISA RACHMAN ◽  
RAMADANI BIMA HAMMAM NURAFALAH ◽  
NOORMAN RINANTO
Keyword(s):  
Automatic Identification ◽  
Identification System ◽  
Data Display ◽  
Specific Data ◽  
C Language ◽  
Automatic Identification System ◽  
Time Position ◽  
Arduino Uno ◽  
Source Of Information

ABSTRAKData kapal dari perangkat AIS (Automatic Identification System) merupakan sumber informasi bagi nahkoda kapal laut. Informasi-informasi tersebut diperoleh dengan mengubah menu secara manual pada layar AIS yang berukuran kecil. Pembuatan perangkat pada penelitian ini difungsikan sebagai pendukung kinerja AIS dalam penyampaian informasi secara berkelanjutan dan otomatis. Data NMEA (National Marine Electronics Association) 0183 dari AIS MA-500TR diakuisisi melalui proses penafsiran, pemilihan, penguraian dan pengurutan untuk menghasilkan data RMC (Recommended Minimum Specific) menggunakan bahasa C pada Arduino Uno R3. Kesesuaian tampilan data RMC untuk waktu, posisi dan tanggal pada modul LED P10 dengan AIS MA-500TR sebesar 100 %. Sedangkan tampilan untuk kecepatan dan heading pada modul LED P10 memiliki akurasi lebih tinggi daripada AIS MA-500TR karena mampu menampilkan dua digit angka setelah tanda koma.Kata kunci: kapal, AIS, informasi, NMEA 0183, akuisisi ABSTRACTShip’s data from the AIS (Automatic Identification System) device is a source of information for the shipmaster. That information is obtained by manually changing the menu on the small size of the AIS screen. The prototype in this study is used to support AIS performance in order to get information continuously and automatically. NMEA (National Marine Electronics Association) 0183 data from the AIS MA-500TR was acquired through the process of interpretation, filtering, parsing and sorting to generate RMC (Recommended Minimum Specific) data using C language on the Arduino Uno R3. The accuracy of RMC data display for time, position and date on the LED P10 module with the AIS MA-500TR are 100 %. While the display for speed and heading on the LED P10 module has a higher accuracy than the AIS MA-500TR because it is able to display two-digit numbers after a comma.Keywords: ship, AIS, information, NMEA 0183, acquisition

Automatic Identification System Receiver for Small Fishing Vessels

2020 ◽  
Author(s):  
Febus Reidj G. Cruz ◽  
Jeremiah A. Ordiales ◽  
Malvin Angelo C. Reyes ◽  
Pinky T. Salvanera
Keyword(s):  
Automatic Identification ◽  
Identification System ◽  
Automatic Identification System ◽  
Fishing Vessels

Automatic identification system data-driven model for analysis of ship domain near bridge-waters

2021 ◽  
pp. 1-22
Author(s):  
Lei Jinyu ◽  
Liu Lei ◽  
Chu Xiumin ◽  
He Wei ◽  
Liu Xinglong ◽  
...  
Keyword(s):  
Least Squares Method ◽  
Automatic Identification ◽  
Identification System ◽  
Collision Risk ◽  
Automatic Identification System ◽  
Domain Models ◽  
System Data ◽  
Quantification Model ◽  
Highly Correlated

Abstract The ship safety domain plays a significant role in collision risk assessment. However, few studies take the practical considerations of implementing this method in the vicinity of bridge-waters into account. Therefore, historical automatic identification system data is utilised to construct and analyse ship domains considering ship–ship and ship–bridge collisions. A method for determining the closest boundary is proposed, and the boundary of the ship domain is fitted by the least squares method. The ship domains near bridge-waters are constructed as ellipse models, the characteristics of which are discussed. Novel fuzzy quaternion ship domain models are established respectively for inland ships and bridge piers, which would assist in the construction of a risk quantification model and the calculation of a grid ship collision index. A case study is carried out on the multi-bridge waterway of the Yangtze River in Wuhan, China. The results show that the size of the ship domain is highly correlated with the ship's speed and length, and analysis of collision risk can reflect the real situation near bridge-waters, which is helpful to demonstrate the application of the ship domain in quantifying the collision risk and to characterise the collision risk distribution near bridge-waters.

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