• Title/Summary/Keyword: 해양 IoT

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The Smart Monitoring System for implementing All-in-One 9-Nautical mile LED lantern (일체형 9해리 LED 등명기 구현을 위한 스마트 모니터링 시스템)

  • Lim, Gyu-Geun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.6
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    • pp.1349-1354
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    • 2021
  • An All-in-one LED lantern is a light device to determine the fairway of ships in operation. The current all-in-one LED lantern powered by solar energy is challenged by insufficient power capacity due to limited sun hours. This article presents an all-in-one 9-Nautical mile LED lantern driven by solar and wind power that is abundant maritime renewable energy. Furthermore, the remote smart monitoring system is developed. A smart control system capable of remote control of the lantern was implemented by using the LED lantern device and monitoring system as IoT. This technology that realtime condition monitoring and remote control are developed for safe ship navigation. We expect that maintaining the accuracy and consistency of LED lanterns prevents marine accidents and reduces social costs.

A Study on the Strategy of IoT Industry Development in the 4th Industrial Revolution: Focusing on the direction of business model innovation (4차 산업혁명 시대의 사물인터넷 산업 발전전략에 관한 연구: 기업측면의 비즈니스 모델혁신 방향을 중심으로)

  • Joeng, Min Eui;Yu, Song-Jin
    • Journal of Intelligence and Information Systems
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    • v.25 no.2
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    • pp.57-75
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    • 2019
  • In this paper, we conducted a study focusing on the innovation direction of the documentary model on the Internet of Things industry, which is the most actively industrialized among the core technologies of the 4th Industrial Revolution. Policy, economic, social, and technical issues were derived using PEST analysis for global trend analysis. It also presented future prospects for the Internet of Things industry of ICT-related global research institutes such as Gartner and International Data Corporation. Global research institutes predicted that competition in network technologies will be an issue for industrial Internet (IIoST) and IoT (Internet of Things) based on infrastructure and platforms. As a result of the PEST analysis, developed countries are pushing policies to respond to the fourth industrial revolution through cooperation of private (business/ research institutes) led by the government. It was also in the process of expanding related R&D budgets and establishing related policies in South Korea. On the economic side, the growth tax of the related industries (based on the aggregate value of the market) and the performance of the entity were reviewed. The growth of industries related to the fourth industrial revolution in advanced countries overseas was found to be faster than other industries, while in Korea, the growth of the "technical hardware and equipment" and "communication service" sectors was relatively low among industries related to the fourth industrial revolution. On the social side, it is expected to cause enormous ripple effects across society, largely due to changes in technology and industrial structure, changes in employment structure, changes in job volume, etc. On the technical side, changes were taking place in each industry, representing the health and medical sectors and manufacturing sectors, which were rapidly changing as they merged with the technology of the Fourth Industrial Revolution. In this paper, various management methodologies for innovation of existing business model were reviewed to cope with rapidly changing industrial environment due to the fourth industrial revolution. In addition, four criteria were established to select a management model to cope with the new business environment: 'Applicability', 'Agility', 'Diversity' and 'Connectivity'. The expert survey results in an AHP analysis showing that Business Model Canvas is best suited for business model innovation methodology. The results showed very high importance, 42.5 percent in terms of "Applicability", 48.1 percent in terms of "Agility", 47.6 percent in terms of "diversity" and 42.9 percent in terms of "connectivity." Thus, it was selected as a model that could be diversely applied according to the industrial ecology and paradigm shift. Business Model Canvas is a relatively recent management strategy that identifies the value of a business model through a nine-block approach as a methodology for business model innovation. It identifies the value of a business model through nine block approaches and covers the four key areas of business: customer, order, infrastructure, and business feasibility analysis. In the paper, the expansion and application direction of the nine blocks were presented from the perspective of the IoT company (ICT). In conclusion, the discussion of which Business Model Canvas models will be applied in the ICT convergence industry is described. Based on the nine blocks, if appropriate applications are carried out to suit the characteristics of the target company, various applications are possible, such as integration and removal of five blocks, seven blocks and so on, and segmentation of blocks that fit the characteristics. Future research needs to develop customized business innovation methodologies for Internet of Things companies, or those that are performing Internet-based services. In addition, in this study, the Business Model Canvas model was derived from expert opinion as a useful tool for innovation. For the expansion and demonstration of the research, a study on the usability of presenting detailed implementation strategies, such as various model application cases and application models for actual companies, is needed.

Design of the protocol for reporting sensor data on passenger ship (여객선 센서 및 장비 정보 전송을 위한 ASM 설계)

  • Kim, Kil-Yong;Jo, Gi-Jong;Lee, Seo-Jeong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2016.05a
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    • pp.62-63
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    • 2016
  • A variety of sensors and equipment are installed on passenger ships. Data collection from these sensors and associated equipment is required for the safe navigation and behavior analysis of ships, but when the ship sails out of the area where it is not possible to use the LTE communication, other types of networks have to be able to support to transmit these information. such as AIS, satellite communication and MF/HF. In this paper, we survey data protocol of onboard sensors and design ASM messages to transfer sensor data on board to the shore-side system.

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Methods to Propel Tourism of Yeosu City Using Big Data (빅데이터를 활용한 여수관광 활성화 방안)

  • Lim, Yang-Ui;Kim, Kang-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.4
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    • pp.739-746
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    • 2020
  • The fourth industrial revolution introduced at world economic forum in 2016 has had huge effects on tourism industries as well as the change of core technologies in ICT such as big data, IoT, etc, This paper proposes the methods to propel tourism of Yoesu city through big data analysis and questionnaires. Sensitive words and positive-negative trend are extracted by Social Metrics and the keywords for Yeosu tour trends are extracted and analyzed by Naver datalab, and the results are visualized by R language. And frequency, difference, factor, covariance and regression analysis in SPSS are executed for the questionnaires for 493 visitors who traveled in Yeosu city. Sentiment analysis for Yeosu tour and maritime cable car shows that positive effect is much more than negative one. The analyses for questionnaires in SPSS show that Yeosu area is statistically significant to tour satisfaction index and tour revitalization for Yeosu, and favorite sightseeing places and searching electronic devices for age groups are different. The sightseeing places such as a maritime park with soft contents that give joyfulness and healing to tourists are highly attracted in both the big data and questionnaires analysis.

Development of a Framework for Improvement of Sensor Data Quality from Weather Buoys (해양기상부표의 센서 데이터 품질 향상을 위한 프레임워크 개발)

  • Ju-Yong Lee;Jae-Young Lee;Jiwoo Lee;Sangmun Shin;Jun-hyuk Jang;Jun-Hee Han
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.3
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    • pp.186-197
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    • 2023
  • In this study, we focus on the improvement of data quality transmitted from a weather buoy that guides a route of ships. The buoy has an Internet-of-Thing (IoT) including sensors to collect meteorological data and the buoy's status, and it also has a wireless communication device to send them to the central database in a ground control center and ships nearby. The time interval of data collected by the sensor is irregular, and fault data is often detected. Therefore, this study provides a framework to improve data quality using machine learning models. The normal data pattern is trained by machine learning models, and the trained models detect the fault data from the collected data set of the sensor and adjust them. For determining fault data, interquartile range (IQR) removes the value outside the outlier, and an NGBoost algorithm removes the data above the upper bound and below the lower bound. The removed data is interpolated using NGBoost or long-short term memory (LSTM) algorithm. The performance of the suggested process is evaluated by actual weather buoy data from Korea to improve the quality of 'AIR_TEMPERATURE' data by using other data from the same buoy. The performance of our proposed framework has been validated through computational experiments based on real-world data, confirming its suitability for practical applications in real-world scenarios.

A Consideration on the Application of Metal Surface Wave Communication Technology in the Ships (금속체 표면파 통신 기술의 선내 적용 방안에 관한 고찰)

  • Jin-Woo Kong;Bu-Young Kim;Woo-Seong Shim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.11a
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    • pp.135-136
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    • 2023
  • This study is an empirical result for building an onboard communication network using metal surface wave communication and is a consideration of its application within the ship. Over the past three years, the applicability and the performance of metal surface wave communication has been confirmed by testing on five small and medium ships. In the tests, IEEE 802.11 protocol of Wi-Fi was used, and the signals were generated in the form of surface waves. Data was sent from AP to AP in the point-to-point form, and the transmission speed was measured at the same time. If necessary, additional repeaters were used to extend the transmission distance. As derived a transmission speed of 5 to 100 Mbps in wireless communication restricted areas of the 5 ships, it is believed that it is possible to reduce the weight of ships and costs by eliminating the communication cables by using surface wave communication as the back-bone network on ships.

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A Development of Integrated Monitoring and Control System for Identification and Management of Fishing Gears (어구 식별 및 관리를 위한 통합 관제 시스템 개발)

  • Hwang, Hun-Gyu;Kim, Bae-Sung;Woo, Sang-Min;Woo, Yun-Tae;Kim, Nam-Su;Nam, Gyeung-Tae;Hwang, Jee-Joong;Lee, Young-Geun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.9
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    • pp.1228-1236
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    • 2018
  • Recently, the maritime environment contaminated by the abandoned fishing gears. To solve this problem, there requires systematic management techniques for the fishing gears based on ICT technologies. The existed systems are optionally used by owners, but the systems need to adopt the monitoring and control architecture for integrated national surveillance. To do this, we designed an architecture for effective monitoring and management which collects position and state information using automatic identification buoy (AIB) device, to send the fishing ship, administrator ship, and shore side control center based on the IoT networks. Especially, in this paper, we developed the ENC-based integrated control system for efficient management which provides functions for position indication, state information display and loss alarm of fishing gears. Also, we conduct performance tests for data processing and visualization functions of the system to use a virtual buoy generation module.

Development of Deep Learning Model for Detecting Road Cracks Based on Drone Image Data (드론 촬영 이미지 데이터를 기반으로 한 도로 균열 탐지 딥러닝 모델 개발)

  • Young-Ju Kwon;Sung-ho Mun
    • Land and Housing Review
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    • v.14 no.2
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    • pp.125-135
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    • 2023
  • Drones are used in various fields, including land survey, transportation, forestry/agriculture, marine, environment, disaster prevention, water resources, cultural assets, and construction, as their industrial importance and market size have increased. In this study, image data for deep learning was collected using a mavic3 drone capturing images at a shooting altitude was 20 m with ×7 magnification. Swin Transformer and UperNet were employed as the backbone and architecture of the deep learning model. About 800 sheets of labeled data were augmented to increase the amount of data. The learning process encompassed three rounds. The Cross-Entropy loss function was used in the first and second learning; the Tversky loss function was used in the third learning. In the future, when the crack detection model is advanced through convergence with the Internet of Things (IoT) through additional research, it will be possible to detect patching or potholes. In addition, it is expected that real-time detection tasks of drones can quickly secure the detection of pavement maintenance sections.

Experimental Study of Wireless Communication System by Surface wave Communication through Confined Spaces on Vessels (선박 밀폐 공간 무선통신 구현을 위한 표면파 통신의 선박 활용 연구)

  • Jin-Woo Kong;Suk-Gun Song;Hak-Sun Kim;Bu-Young Kim;Woo-Seong Shim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2021.11a
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    • pp.127-128
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    • 2021
  • This study suggests surface wave communication, which uses a metal surface as a medium, to provide wireless communication in the extreme environment due to surrounding metal materials on vessels. The test was conducted on a G/T 265 tons tug boat, and to confirm the possibility of surface wave communication between a bridge and each designated space in the boat. As a result, the transmission speed was 13Mbps in average. For the test case between the bridge and the engine room, transmission speed was 4.3Mbps while the engine was on, and 1.2Mbps during sailing. It was able to be overcome by partially changing the equipment installation location. Surface wave communication in a bow storage, a fully enclosed space, had 8Mbps better transmission speed than wireless communication; this confirmed the superiority of surface wave communication in confined spaces on a vessel. Additional surface wave generators were designed and applied to resolve the paint issue. It is expected to apply surface wave communication to implement the new wireless solution on vessels.

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A Study on Capacity of Electric Propulsion System by Load Analysis of 6,800TEU Container Ship (6,800TEU 컨테이너선의 부하분석을 통한 전기추진시스템 용량 연구)

  • Jang, Jae-Hee;Son, Na-Young;Oh, Jin-Seok
    • Journal of Navigation and Port Research
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    • v.42 no.6
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    • pp.437-445
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    • 2018
  • IMO (International Maritime Organization) has been strengthening the regulations of ship emission gas such as sulfur oxides (SOX), nitrogen oxides (NOX) and carbon dioxides (CO2) to protect the marine environment. Especially, ECA (Emission Control Area) has been set and operated in the USA and US. As a countermeasure against these environmental regulations, the demand for environmentally, friendly and highly efficient vessels has led to a growing interest in technology related research with respect to electric propulsion systems capable of reducing exhaust gas. Container ships were excluded from the application coverage of the electric propulsion systems for reasons of operation at economical speed. However, in the future, the need for electric propulsion system is expected to rise, because it is easy to monitor and control so that it can be an applicate to smart ship which are represented by fourth industrial revolution technology. In this study, research was carried out to design a generator and battery capacity through the load analysis of the 6,800TEU container ship to apply the electric propulsion system of the container ship. A capacity design based on the load analysis has an advantage that the generator can be operated in a high efficiency section through the load distribution control using the battery.