• Journal of the Korean Society of Marine Environment & Safety
• /
• v.27 no.6
• /
• pp.798-807
• /
• 2021

In the era of the fourth industrial revolution, Maritime Autonomous Surface Ship(MASS) are expected to emerge in the shipping industry. There has been much active research on collision avoidance systems regarding MASSs, but most of it has focused on merchant ships. A study of collision avoidance systems in fishing vessels is also essential, because Maritime Autonomous Surface Ships will encounter all type of vessels. In this study, the minimum passage distance between small-medium-sized fishing vessels and other vessels was investigated for the Ship's domain analysis. Based on the AIS data of Busan port and the adjacent area, the separation distances of fishing vessels were analyzed. The results indicated that as the speed of fishing vessels increased, the distance increased from 4L to 8L, and as length of the fishing vessels increased, the distance decreased from 10L to 6L. It is believed that the results of this study can be applied in the future to collision avoidance models for MASSs that reflect the domain of fishing vessels.

• Journal of Navigation and Port Research
• /
• v.48 no.3
• /
• pp.214-220
• /
• 2024

Remote control is used for operating maritime autonomous surface ships. The operator controls the ship using control data generated by the remote control system. To ensure successful remote control, three principles must be followed: safety, reliability, and availability. To achieve this, the suitability of both the control data and operators for remote control must be established. Currently, there are no international regulations in place for evaluating remote control suitability through experiments on actual ships. Conducting such experiments is dangerous, costly, and time-consuming. The goal of this study is to develop a suitability evaluation method using the output values of control devices used in actual ship operation. The proposed method involves evaluating the suitability of data by analyzing the output values and evaluating the suitability of operators by examining their tracking of these output values. The experiment was conducted using a shore-based remote control system to operate the training ship 'Hannara' of Korea National Maritime and Ocean University. The experiment involved an iterative process of obtaining the operator's tracking value for the output value of the ship's control devices and transmitting and receiving tracking data between the ship and the shore. The evaluation results showed that the transmission and reception performance of control data was suitable for remote operation. However, the operator's tracking performance revealed a need for further education and training. Therefore, the proposed evaluation method can be applied to assess the suitability and analyze both the control data and the operator's compliance with the three principles of remote control.

• Journal of Navigation and Port Research
• /
• v.44 no.5
• /
• pp.423-429
• /
• 2020

A ship's automatic steering system is the basis for addressing control difficulties related to course-changing and course-keeping during navigation through heading angle control, and is a link in realizing unmanned and autonomous ships. This study proposes a robust RCGA-based linear active disturbance rejection controller (LADRC) design method considering environmental disturbances, measurement noise, and model uncertainties in designing a ship heading controller for use when the ship is sailing. The LADRC consisted of a transient profile, a linear extended state observer, and a PD controller. The control gains in the LADRC with the linear extended state observer were adjusted by RCGAs to minimize the integral of the time-weighted absolute error (ITAE), which is an evaluation function of the control system. The proposed method was applied to ship heading control, and its effectiveness was validated by comparing the propulsive energy loss between the proposed method and a conventional linear PD controller. The simulation results showed that the proposed method had the advantages of lower propulsive energy loss, more robustness, and higher tracking precision than the conventional linear PD controller.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.28 no.7
• /
• pp.1216-1221
• /
• 2022

Ships tend to be larger to increase the efficiency of cargo transportation. Larger ships lead to increased travel time for ship workers, increased work intensity, and reduced work efficiency. Problems such as increased work intensity are reducing the influx of young people into labor, along with the phenomenon of avoidance of high intensity labor by the younger generation. In addition, the rapid aging of the population and decrease in the young labor force aggravate the labor shortage problem in the maritime industry. To overcome this, the maritime industry has recently introduced technologies such as an intelligent production design platform and a smart production operation management system, and a smart autonomous logistics system in one of these technologies. The smart autonomous logistics system is a technology that delivers various goods using intelligent mobile robots, and enables the robot to drive itself by using sensors such as lidar and camera. Therefore, in this paper, it was checked whether the mobile robot could autonomously drive to the stop sign by detecting the passage way of the ship deck. The autonomous driving was performed by detecting the passage way of the ship deck through the camera mounted on the mobile robot based on the data learned through Nvidia's End-to-end learning. The mobile robot was stopped by checking the stop sign using SSD MobileNetV2. The experiment was repeated five times in which the mobile robot autonomously drives to the stop sign without deviation from the ship deck passage way at a distance of about 70m. As a result of the experiment, it was confirmed that the mobile robot was driven without deviation from passage way. If the smart autonomous logistics system to which this result is applied is used in the marine industry, it is thought that the stability, reduction of labor force, and work efficiency will be improved when workers work.

• Proceedings of KOSOMES biannual meeting
• /
• 2018.06a
• /
• pp.80-80
• /
• 2018

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.11a
• /
• pp.263-264
• /
• 2022

전 세계적으로 자율운항선박 관련 연구가 활발히 수행되고 있으며, 자율운항선박 관련 개발 기술에 대한 시험평가 기술의 개발도 그 필요성이 부각되고 있다. 이와 같은 자율운항선박 관련 개발 기술에 대한 시험평가와 관련하여 현재 다부처사업으로 진행 중인 자율운항선박 기술개발사업에서는 자율운항선박에 탑재되는 장비 또는 알고리즘의 성능을 검증하기 위한 플랫폼으로 시뮬레이션 기반 테스트베드(Simulation-based testbed for autonomous ship, S-TAS)를 개발하고 있다. 본 연구에서는 시뮬레이션 기반 테스트베드의 활용을 위하여 자율운항시스템 구성요소 중 안전운항시스템과 경제운항시스템을 검증하기 위한 시뮬레이션 기반 시나리오 운용기능을 설계하였으며, 향후 개발되는 자율운항시스템을 위한 시나리오 운용 기술의 개발 및 연구를 수행할 예정이다.

• Journal of Positioning, Navigation, and Timing
• /
• v.12 no.3
• /
• pp.289-294
• /
• 2023

As technologies such as cameras, Laser Imaging, Detection, and Ranging (LiDAR), and Global Navigation Satellite Systems (GNSS) become more sophisticated and common, their use in autonomous driving technologies is being explored in various fields. In the maritime area, technologies related to collision avoidance between ships are being developed to evaluate and avoid the risk of collision between ships by setting various scenarios. However, the position of each vessel used in the process of developing collision avoidance technology between vessels uses data obtained through GNSS, and may include a position error of 10 m or more depending on the situation. In this paper, a study on the dynamic safety navigation range including the positional inaccuracy of the ship is conducted. By combining the concept of the protection level obtained using GNSS raw data with a conventional safe navigation range, a safer navigation range can be calculated for dynamic navigation. The calculated range is verified using data obtained while sailing in an actual sea environment.

• Journal of Ocean Engineering and Technology
• /
• v.32 no.2
• /
• pp.138-142
• /
• 2018

The marine industry is rapidly developing as a result of the increase in various needs in the marine environment. In addition, accidents involving ship fires and explosions and the resulting casualties are increasing. Generally, manpower and safety problems exist in fire fighting. A fire fighter in the form of an autonomous surface robot would be ideal for marine fire safety, because it has no manpower and safety problems. Therefore, an autonomous surface robot with the abilities of fire recognition and tracking, nozzle selection, position and attitude control, and fire fighting was developed and is discussed in this paper. The test and evaluation results of this robot showed the possibility of real-size applications and the need for additional studies.

• Journal of the Korean Society of Safety
• /
• v.38 no.2
• /
• pp.8-14
• /
• 2023

In various industrial sites, piping systems play an essential role in stable fluid supply and pressure maintenance. However, these systems are constantly exposed to risks of earthquakes, explosions, fires, and leaks, which can result in casualties or serious economic losses. With rapid advancements in the industry, different-sized piping systems have been launched; however, there are not enough maintenance personnel for troubleshooting and responding to situations where damages occur to piping systems. This increases the need for introducing autonomous damage management systems. In this study, a lab-based piping system was designed and manufactured by referring to the piping system of a naval ship to analyze the effectiveness of autonomous damage management systems. By using this testbed, a representative algorithm, the hydraulic resistance control algorithm, was realized and examinedIn addition, the difference between the averaged pressure and normalized pressure was introduced to improve the performance of the existing algorithm, which faces some limitations with regard to sensor noise and back pressure from the rupture-simulated pipeline part.