• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.195-196
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• 2019

Studied for multiple obstacle avoidance algorithm based on COLREG for autonomous navigation vessel's safety navigation. By used VECTOR value of external obstacle provided by RADAR, CPA and TCPA of each obstacle are analyzed, and the obstacle is classified based on the value, the risk level is calculated considering multiple obstacle avoidance situations, and the avoidance action is applied to secure minimum safety situation.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.169-170
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• 2022

In this study, in order to select the element items for risk assessment for autonomous ships, a survey was conducted on the maritime traffic control workers and the risk assessment element items were analyzed. The top five element items for risk assessment were identified, and the detailed value of risk elements according to the size of the vessel could be confirmed.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.5
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• pp.462-469
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• 2023

In this study, we propose a method for evaluating the risk of collision between ships to support determination on the risk of collision in a situation in which ships encounter each other and to prevent collision accidents. Because several uncertainties are involved in the navigation of a ship, must be considered when evaluating the risk of collision. We apply the Dempster-Shafer theory to manage this uncertainty and evaluate the collision risk of each target vessel in real time. The distance at the closest point approach (DCPA), time to the closest point approach (TCPA), distance from another vessel, relative bearing, and velocity ratio are used as evaluation factors for ship collision risk. The basic probability assignments (BPAs) calculated by membership functions for each evaluation factor are fused through the combination rule of the Dempster-Shafer theory. As a result of the experiment using automatic identification system (AIS) data collected in situations where ships actually encounter each other, the suitability of evaluation was verified. By evaluating the risk of collision in real time in encounter situations between ships, collision accidents caused by human errora can be prevented. This is expected to be used for vessel traffic service systems and collision avoidance systems for autonomous ships.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.15 no.1
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• pp.62-70
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• 2019

The APR1400 reactor may be operated for a long time under high temperature and pressure conditions, causing damage to the stud holes and causing stud bolts and holes to stick. The present practice is to manually remove the anti-sticking agent and foreign matter remaining in the APR1400 reactor stud hole and to visually check the surface condition of the thread to check the damage status of the threads. In the case of the APR1400 reactor stud holes, manually cleaning the threads increases the risk of radiation exposure and operator's fatigue. To avoid this, the autonomous mobile robot is used to automatically clean the reactor stud holes. The purpose of this study is to optimize the cleaning performance of the mobile robot by looking at the behavior of the surface roughness of the stud surface cleaned by the brush attached to the mobile robot due to changes in brush material, thickness of wire, and rotation speed. A microscopic approach to the surface roughness of the flank is needed to investigate the effects of the newly proposed brush of the autonomous mobile robot on the thread holes. According to this experiment, it is reasonable to use STS brush rather than Carbon one. Optimal operating conditions are derived and the safety of APR1400 reactor stud holes maintenance can be improved.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.333-335
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• 2022

The changes caused by the 4th industrial revolution are accelerating the convergence of technologies due to the COVID-19 Pandemic. As a result, rapid changes are expected in various fields of society and industry. The shipping and logistics industry is also in urgent need of smartization due to changes in environment and technology. However, in the case of Korea, the smartization of shipping and logistics technology is insufficient compared to that of advanced countries. For smartization for complex business processing with many related entities, smooth communication and visual confirmation using the latest technologies are becoming important. Such visualization and communication will become more important in smart shipping and logistics This study intends to present an integrated communication tool between self-driving ships and container terminals for the realization of smart shipping and logistics. In particular, a study was conducted on the development of a digital twin-based communication tool that satisfies the requirements of ship berthing and loading/unloading operations in which various actors participate and process complex tasks.

• Journal of the Society of Naval Architects of Korea
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• v.59 no.5
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• pp.252-261
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• 2022

The present study concerns assessing the operability of a surface combatant, based on the Percent-Time-Operable (PTO). For validation of the seakeeping analysis in the regular waves, the model test is first conducted in a towing tank. The seakeeping analysis results in the regular waves are expanded to the irregular waves, considering the wave spectra around the Korean peninsula and in North Pacific. The seakeeping criteria of the surface combatant in transit, combat, replenishment operation, and survival condition are defined by the literature review. An annual operation scenario of the surface combatant in two operation areas, i.e., advance speed and wave direction, are combined with the seakeeping analysis results to assess PTO. The main constraints of operability of the surface combatant are identified as the pitch angle and vertical velocity at the helicopter deck.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.5
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• pp.819-826
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• 2022

Recently, interest in smart port systems for linking with autonomous ships is increasing. To build a smart port system, primarily, a system that can automatically moor a vessel is required. To calculate the allowable mooring capacity of the automatic mooring system in a port, the characteristics of the vessel must be considered, and the external force generated from environmental disturbances in the sea must be accurately calculated. Accurately estimating the magnitude of these environmental disturbances is an extremely important factor for designing an automatic mooring system. In this study, the mooring capacity of the HANBADA was estimated according to the port and fishing port design criteria of the Ministry of Ocean and Fisheries. The longitudinal and lateral forces of the mooring force acting on the HANBADA were 18 kN and 248 kN, respectively, under the most extreme ocean conditions (BF 6).

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.6
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• pp.798-807
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• 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 the Society of Naval Architects of Korea
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• v.59 no.4
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• pp.225-234
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• 2022

The flow field measurement above whole area of the flight deck on 'Landing Platform Helicopter (LPH)' was performed by using PIV system in wind tunnel. In various heading angle conditions (0deg, -30deg, -45deg, -60deg, -75deg and ±90deg), the velocity fields such as U velocity & V velocity were measured at three different height above flight deck. Due to the geometrical characteristics of several bodies like deck, crane and super-structure, various vortex were generated. When the heading angle is 0deg, the deck edge vortex by flight deck and massive separation by super-structure were clearly observed by visualization with smoke and PIV, respectively. In other heading angles, the acceleration of flow in space between crane and super-structure were detected. And area with flow separation by super-structure is directly related to the heading angle of vessel.

• Journal of Ocean Engineering and Technology
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• v.37 no.1
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• pp.38-48
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• 2023

To maintain the existing systems of ships and introduce autonomous operation technology, it is necessary to improve situational awareness through the sensor fusion of the automatic identification system (AIS) and automatic radar plotting aid (ARPA), which are installed sensors. This study proposes an algorithm for determining whether AIS and ARPA signals are sent to the same ship in real time. To minimize the number of errors caused by the time series and abnormal phenomena of heterogeneous signals, a tracking method based on the combination of the unscented Kalman filter and probabilistic data association filter is performed on ARPA radar signals, and a position prediction method is applied to AIS signals. Especially, the proposed algorithm determines whether the signal is for the same vessel by comparing motion-related components among data of heterogeneous signals to which the corresponding method is applied. Finally, a measurement test is conducted on a training ship. In this process, the proposed algorithm is validated using the AIS and ARPA signal data received by the voyage data recorder for the same ship. In addition, the proposed algorithm is verified by comparing the test results with those obtained from raw data. Therefore, it is recommended to use a sensor fusion algorithm that considers the characteristics of sensors to improve the situational awareness accuracy of existing ship systems.