• 제목/요약/키워드: Automatic Navigation Support

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Automatic Control for Ship Automatic Collision Avoidance Support (선박자동충돌회피지원을 위한 자동제어)

  • 임남균
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2003.05a
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    • pp.81-86
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    • 2003
  • The studies on automatic ship collision avoidance system, which have been carried out last 10 years, are facing on new situation due to newly developed high technology such as computer and other information system. It was almost impossible to make it used in real navigation 3-4 years ago because of the absence of the tool to get other ship's information, however recently developed technology suggests new possibility. This study is carried out to develop the algorithm of automatic ship collision support system. The NOMOTO ship's mathematic model is adopted in simulation for its simplicity. The fuzzy reason rules are used for course-keeping system and for the calculation of Collision Risk using TCPA/DCPA. Moreover‘encounter type’ between two ships is analyzed based on Regulations for Preventing Collisions at Sea and collision avoidance action is suggested, Some situations are simulated to verity the developed algorithm and appropriate avoidance action is shown in the simulation.

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A Development of Automatic Safety Navigation Support Service Providing System for Medium and Small Ships based on Speech Synthesis (중소형 선박을 위한 음성합성 기반 자동 안전항해 지원 서비스 제공 시스템 개발)

  • Hwang, Hun-Gyu;Kim, Bae-Sung;Woo, Yum-Tae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.4
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    • pp.595-602
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    • 2021
  • Marine accidents are mostly caused by medium and small ships, and are continuously increasing. In this paper, we propose an architecture of the speech synthesis based automatic safety navigation support service providing system for small ships that equiped onboard systems compared with vessels. The main purpose of the system is to prevent marine accidents by providing synthesized voice safety messages to nearby ships. The safety navigation support service is operated by connecting GPS and AIS to synthesize voice safety messages, automatically broadcast through VHF. Therefore, we developed a data processing module, a staged risk analysis module, a voice synthesis safety message generation module, and a VHF broadcasting equipment control module, which are components of the system. In addition, we conducted laboratory-level and sea-trial demonstration tests using the developed the system, which verified usefulness of the proposed service.

An Implementation of an Intelligent Digital Ship (지능형 디지털 선박의 구현방안)

  • Lim, Yong-Kon;Park, Jong-Won
    • Journal of the Society of Naval Architects of Korea
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    • v.45 no.5
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    • pp.554-561
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    • 2008
  • This paper deals with an intelligent digital ship which aims at development to support economic and safe services through an integration into the hierarchically layered digital signals such as ship's navigation, maneuvering and control signal and establishing a one-man bridge system in order to provide a support systems between ship and land station. This paper introduces the results of the mid-term project sponsored from Ministry of Commerce, Industry and Energy which consists of three sub-project such as INS(Intelligent Navigation System), AIS(Automatic Identification System), and IMIT (Integrated Maritime Information Technology). The INS system that can allow ships to navigate economically and safely through the integration and analysis of national data within the ship. AIS is a system that reports automatically on the location of the ship in order to prevent the collision between ships and between the ship and the land. IMIT is a integrated system for providing an efficient and economic support system between ships and the land and a ship-land platform and technologies.

Automatic Control for Ship Collision Avoidance Support System (선박충돌회피지원 시스템을 위한 자동제어)

  • Im, Nam-Kyun
    • Journal of Navigation and Port Research
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    • v.27 no.4
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    • pp.375-381
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    • 2003
  • The studies on automatic ship collision avoidance system, which have been carried out last 10 years, are facing on new situation due to newly developed high technology such as computer and other information system. It was almost impossible to make it used in real navigation 3-4 years ago because of the absence of the tool to get other ship's information, however recently developed technology suggests new possibility. This study is carried out to develop the algorithm of automatic ship collision support system. The NOMOTO ship's mathematic model is adopted in simulation for its simplicity. The fuzzy reason rules are used for course-keeping system and for the calculation of Collision Risk using TCPA/DCPA. Moreover ‘encounter type’ between two ships is analyzed based on Regulations for Preventing Collisions at Sea and collision avoidance action is suggested. Some situations are simulated to verity the developed algorithm and appropriate avoidance action is shown in the simulation.

Automatic Control for Ship Collision Avoidance Support -3 (선박충돌회피지원을 위한 자동제어-3)

  • 임남균;박건일
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2004.04a
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    • pp.129-134
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    • 2004
  • Author presented some study with a title of "automatic control for ship collision avoidance system" in previous papers. The paper reported the tread of the study, un-sloved issues and outcome of the study. In this paper, some additional results will be reported. The first is the algorithm of avoidance of group ship that is one of the un-sloved issues. The algorithm is useful when a ship takes an avoiding action toward group fish boats and approaching group merchant vessel. The second is unified model for calculating ship collision risk. The collision risk changes with various meet type of ships. Therefor newly-developed model is suggested to take into account of these situations. Finally simulation is carried out to verify suggested algorithm and model in various ship encounter situations..

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New idea about realizing automatic collision avoidance on the sea

  • Yao, Jie;Wu, Zhaolin
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2001.10a
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    • pp.65-74
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    • 2001
  • The rapid development of computer technology and widely application of artificial intelligent provide technology support for realizing navigation automation on the sea. which has achieved great success in shipping advanced countries like japan, England, America, Germany and also in the developing country, China. However, it still remains in the studying Period up to now in aspects of collision avoidance decision-making mathematical model and reasoning mechanism. In this paper, approaches are proposed to establish the collision avoidance automation system. One of them is based on the former studies to realize automation system by make use of finite state machine theory and following the International regulations for Preventing Collision at Sea, 1972. The others are to establish the new idea about automatic collision avoidance system by taking advantage of the free flight idea, hybrid system, game theory used in air traffic management studies in recent years and the common characteristics in both air and sea traffic management.

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Decision Support System for Automatic Cargo Planning for Tanker Ships (유조선 자동 적.양하 계획을 위한 의사결정지원 시스템)

  • Nam, K.C.;Shin, J.Y.
    • Journal of Korean Port Research
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    • v.11 no.1
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    • pp.65-73
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    • 1997
  • The objective of this paper is to suggest a decision support system allowing automatic loading and discharging planning for tanker ships, and provide a working prototype. Particular attention is placed on developing a feasible system for improving the speed and accuracy of cargo planning by combining practice and theoretical solution methods. The system is consisted of a simulation model for tank allocation and an expert system for working sequence. Several program tests are undertaken with randomly generated input data. The results suggest that the system is quite meaningful even though there are still some problems to be solved. The paper concludes with a discussion of issues for future development of the decision support system.

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An Adaptive Web Surfing System for Supporting Autonomous Navigation (자동항해를 지원하는 적응형 웹 서핑 시스템)

  • 국형준
    • Journal of KIISE:Software and Applications
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    • v.31 no.4
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    • pp.439-446
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    • 2004
  • To design a user-adaptive web surfing system, we nay take the approach to divide the whole process into three phases; collecting user data, processing the data to construct and improve the user profile, and adapting to the user by applying the user profile. We have designed three software agents. Each privately works in each phase and they collaboratively support adaptive web surfing. They are IIA(Interactive Interface Agent), UPA(User Profile Agent), and ANA(Autonomous Navigation Agent). IIA provides the user interface, which collects data and performs mechanical navigation support. UPA processes the collected user data to build and update the user profile while user is web-surfing. ANA provides an autonomous navigation mode in which it automatically recommends web pages that are selected based on the user profile. The proposed approach and design method, through extensions and refinements, may be used to build a practical adaptive web surfing system.

A Study on Automatic Bridge Lantern Support for Safe Bridge Lantern Inspection (안전한 교량등 점검을 위한 자동 교량등 지지대에 관한 연구)

  • Min-Yong Lim;Seung-Gi Gug
    • Journal of Navigation and Port Research
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    • v.48 no.4
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    • pp.267-273
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    • 2024
  • Bridge lanterns are installed on bridges or piers to signal the presence of these structures on navigational routes and navigable waters, and they fall under the category of light wave signals in Aids to Navigation. In Korea, medium to large bridges installed over major rivers and seas are equipped with bridge lanterns, which are necessary for routes frequented by ships and require periodic inspections on a monthly or multi-month basis. However, most bridge lanterns are mounted externally on bridge railings as fixed or manual rotary supports, posing a high risk of fatal falls during inspections. Furthermore, high -traffic bridges demand quick maintenance works due to complaints about traffic disruption, thus increasing work hazards. Consequently, this study introduced a tailored automatic bridge lantern support concept based on different types of bridge lantern installations, aiming for safe and rapid inspections. Additionally, the study sought to achieve full automation of the bridge lighting system by integrating it with a management program for monitoring and controlling bridge lanterns, utilizing both wired and wireless communication technologies. These findings provide foundational design data for new and refurbished bridges that will be installed in the future.

Fundamental Research for Video-Integrated Collision Prediction and Fall Detection System to Support Navigation Safety of Vessels

  • Kim, Bae-Sung;Woo, Yun-Tae;Yu, Yung-Ho;Hwang, Hun-Gyu
    • Journal of Ocean Engineering and Technology
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    • v.35 no.1
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    • pp.91-97
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    • 2021
  • Marine accidents caused by ships have brought about economic and social losses as well as human casualties. Most of these accidents are caused by small and medium-sized ships and are due to their poor conditions and insufficient equipment compared with larger vessels. Measures are quickly needed to improve the conditions. This paper discusses a video-integrated collision prediction and fall detection system to support the safe navigation of small- and medium-sized ships. The system predicts the collision of ships and detects falls by crew members using the CCTV, displays the analyzed integrated information using automatic identification system (AIS) messages, and provides alerts for the risks identified. The design consists of an object recognition algorithm, interface module, integrated display module, collision prediction and fall detection module, and an alarm management module. For the basic research, we implemented a deep learning algorithm to recognize the ship and crew from images, and an interface module to manage messages from AIS. To verify the implemented algorithm, we conducted tests using 120 images. Object recognition performance is calculated as mAP by comparing the pre-defined object with the object recognized through the algorithms. As results, the object recognition performance of the ship and the crew were approximately 50.44 mAP and 46.76 mAP each. The interface module showed that messages from the installed AIS were accurately converted according to the international standard. Therefore, we implemented an object recognition algorithm and interface module in the designed collision prediction and fall detection system and validated their usability with testing.