• Title/Summary/Keyword: 드론사고

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Mobile Sensor Velocity Optimization for Chemical Detection and Response in Chemical Plant Fence Monitoring (사업장의 경계면에서 화학물질 감지 및 대응을 위한 이동식 센서 배치 최적화)

  • Park, Myeongnam;Kim, Hyunseung;Cho, Jaehoon;Lulu, Addis;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.21 no.2
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    • pp.41-49
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    • 2017
  • Recently, as the number of facilities using chemicals is increasing, the amount of handling is rapidly increasing. However, chemical spills are occurring steadily, and if large quantities of chemicals are leaked in time, they are likely to cause major damage. These industrial complexes use information obtained from a number of sensors to detect and monitor leaking areas, and are used in industrial fields by applying existing fixed sensors to robots and drones. Therefore, it is necessary to propose a sensor placement method at the interface for rapid detection and response based on various leaking scenarios reflecting leaking conditions and environmental conditions of the chemical handling process. In this study, COMSOL was used to analyze the actual accident scenarios by applying the medium parameter to the case of chemical leaks. Based on the accident scenarios, the objective function is selected so that the velocity of each robot is calculated by attaching importance to each item of sensor detection probability, sensing time and sensing scenario number. We also confirmed the feasibility of this method of reliability analysis for unexpected leak accidents. Based on the above results, it is expected that it will be helpful to trace back the leakage source based on the concentration data of the portable sensor to be applied later.

National Disaster Management, Investigation, and Analysis Using RS/GIS Data Fusion (RS/GIS 자료융합을 통한 국가 재난관리 및 조사·분석)

  • Seongsam Kim;Jaewook Suk;Dalgeun Lee;Junwoo Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.743-754
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    • 2023
  • The global occurrence of myriad natural disasters and incidents, catalyzed by climate change and extreme meteorological conditions, has engendered substantial human and material losses. International organizations such as the International Charter have established an enduring collaborative framework for real-time coordination to provide high-resolution satellite imagery and geospatial information. These resources are instrumental in the management of large-scale disaster scenarios and the expeditious execution of recovery operations. At the national level, the operational deployment of advanced National Earth Observation Satellites, controlled by National Geographic Information Institute, has not only catalyzed the advancement of geospatial data but has also contributed to the provisioning of damage analysis data for significant domestic and international disaster events. This special edition of the National Disaster Management Research Institute delineates the contemporary landscape of major disaster incidents in the year 2023 and elucidates the strategic blueprint of the government's national disaster safety system reform. Additionally, it encapsulates the most recent research accomplishments in the domains of artificial satellite systems, information and communication technology, and spatial information utilization, which are paramount in the institution's disaster situation management and analysis efforts. Furthermore, the publication encompasses the most recent research findings relevant to data collection, processing, and analysis pertaining to disaster cause and damage extent. These findings are especially pertinent to the institute's on-site investigation initiatives and are informed by cutting-edge technologies, including drone-based mapping and LiDAR observation, as evidenced by a case study involving the 2023 landslide damage resulting from concentrated heavy rainfall.

Analysis of hydrological survey technology and utilization status (국내외 수문조사 기술 및 활용현황 분석)

  • Tae-Jeong Kim;Jang-Gyeong Kim;Ji-Yae Shin;Bok-Jin Jang;Seung-Ho Hong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.76-76
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    • 2023
  • 물순환 요소들을 관찰하고, 이를 과학적으로 측정 및 분석하는 수문조사는 국민에게 필요한 물의공급, 가뭄과 홍수로 인한 피해 경감, 깨끗한 수질 유지 등 국가 수자원 관리를 위한 중요 기초자료를 제공하기 위하여 수행되고 있다. 물관리의 첫 단추는 물 관련 조사·분석·정보 관리체계를 구축하는 것으로 기후위기 및 통합물관리 대응을 위하여 물관리를 선도하고 있는 주요국은 첨단장비 및 기술력을 도입하여 수문조사를 수행하고 있다. 이와 연계하여 수문조사 기술력이 발달하고 국민의 물관리에 대한 관심도가 높아짐에 따라 신뢰성 있는 사용자 중심의 수문자료 생산 필요성이 논의되고 있다. 본 연구에서는 주요 국가의 수문조사 기술수준과 활용현황을 파악하고 기술전략 선진화를 모색하고자 한다. 이를 위하여 미국, 영국, 중국, 일본, 대만 등의 수문조사 기관을 대상으로 기초자료를 구축하고 비교하였다. 대부분의 수문조사 기관은 통합물관리를 위하여 수량·수질·환경에 대한 조사를 일원적으로 수행하고 있으며, 이상기후로 유발되는 극한강우 및 측정시 안전사고에 대응하기 위하여 드론 무선보트 등과 같은 비접촉 측정기법을 개발하여 수문조사를 수행하고 있음을 확인하였다. 이를 바탕으로 현재 활용되고 있는 수문조사 장비의 정확도를 향상하고, 한국 지형과 운영방식에 적합한 새로운 수문조사 기술에 대한 적극적인 투자가 필요할 것으로 사료된다. 이는 수자원조사의 미래 가치 중 하나인 수문조사 정보의 신 가치를 창출하고, 기술력선도를 통해 공공사업 분야에서도 물 산업 진출의 주도권을 확보하는데 중요한 역할을 제시할 것으로 판단된다.

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Development of tracer concentration analysis method using drone-based spatio-temporal hyperspectral image and RGB image (드론기반 시공간 초분광영상 및 RGB영상을 활용한 추적자 농도분석 기법 개발)

  • Gwon, Yeonghwa;Kim, Dongsu;You, Hojun;Han, Eunjin;Kwon, Siyoon;Kim, Youngdo
    • Journal of Korea Water Resources Association
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    • v.55 no.8
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    • pp.623-634
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    • 2022
  • Due to river maintenance projects such as the creation of hydrophilic areas around rivers and the Four Rivers Project, the flow characteristics of rivers are continuously changing, and the risk of water quality accidents due to the inflow of various pollutants is increasing. In the event of a water quality accident, it is necessary to minimize the effect on the downstream side by predicting the concentration and arrival time of pollutants in consideration of the flow characteristics of the river. In order to track the behavior of these pollutants, it is necessary to calculate the diffusion coefficient and dispersion coefficient for each section of the river. Among them, the dispersion coefficient is used to analyze the diffusion range of soluble pollutants. Existing experimental research cases for tracking the behavior of pollutants require a lot of manpower and cost, and it is difficult to obtain spatially high-resolution data due to limited equipment operation. Recently, research on tracking contaminants using RGB drones has been conducted, but RGB images also have a limitation in that spectral information is limitedly collected. In this study, to supplement the limitations of existing studies, a hyperspectral sensor was mounted on a remote sensing platform using a drone to collect temporally and spatially higher-resolution data than conventional contact measurement. Using the collected spatio-temporal hyperspectral images, the tracer concentration was calculated and the transverse dispersion coefficient was derived. It is expected that by overcoming the limitations of the drone platform through future research and upgrading the dispersion coefficient calculation technology, it will be possible to detect various pollutants leaking into the water system, and to detect changes in various water quality items and river factors.

Effects of Web-based STEAM Program Using 3D Data: Focused on the Geology Units in Earth Science I Textbook (3차원 데이터 활용 웹기반 STEAM 프로그램의 효과 : 지구과학I의 '지질 단원'을 중심으로)

  • Ho Yeon Kim;Ki Rak Park;Hyoungbum Kim
    • Journal of the Korean Society of Earth Science Education
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    • v.16 no.2
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    • pp.247-260
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    • 2023
  • In this study, when applying the 'geological structure' content element of high school earth science I developed according to the 2015 curriculum to the STEAM program using a web-based expert system using 3D data of Google Earth and drones, the creative problem-solving ability of high school students, attitudes toward STEAM, and the results of this study are as follows. First, after applying the STEAM program, high school students' creative problem-solving ability showed meaningful results at the p<.001 level. Second, STEAM attitudes showed a significant value at the p<.001 level, confirming that they had a positive impact on high school students' attitudes towards STEAM. It was judged that web-based class activities using Google Earth and drones were useful for integrated thinking such as learners' sense of efficacy and value recognition for usefulness of knowledge. High school students' satisfaction with the STEAM program was 3.251, showing a slightly high average. It was confirmed that web-based class activities such as drones and Google Earth had a positive impact on learners' class satisfaction. However, it was interpreted that the lack of time for class activities limited the ability of the learners to increase their interest in class. The proposal of this research is as follows. First of all, in consideration of the production of presentation materials and practical training in the STEAM program, activities such as block time and advance instruction for class understanding before class are necessary. Secondly, in order to revitalize STEAM education in the high school curriculum, we judge that research on the development of various integrated education programs that can be applied to the high school grade system is necessary.

Implementation of Quad-rotor Hovering Systems with Tracking (추적이 가능한 쿼드로터 호버링 시스템 구현)

  • Jung, Won-Ho;Chung, Jae-Pil
    • Journal of Advanced Navigation Technology
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    • v.20 no.6
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    • pp.574-579
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    • 2016
  • Unlike general unmanned aerial vehicles, the quad-rotor is attracting the attention of many people because of simple structure and very useful value. However, as the interest in drones increases, the safety and location of vehicles are becoming more important provide against aviation safety accidents or lost accidents. Therefore, in this paper, we propose a tracking system that stabilizes the model with a simple controller by linearized modeling and grasp tilt angle data from various sensor through the filter. The developed tracking system transmits the position of the quad-rotor in flight to the computer and shows it through the route, so it can check the flight path and various information such as flight speed and altitude at the same time. Then the sensor used in the actual quad-rotor can not measure exact sensor data for disturbance and vibration. So we use sensor fusion of Kalman filter and Complementary filter to overcome this problem and the stability of the quad-rotor hovering is realized by PID control. Through simulation, various information such as the speed, position, and altitude of the quad-rotor were confirmed in real time.

Application of the Small UAV Defense System (무인항공기 대응체계 도입 방안)

  • Park, Jehong
    • Journal of Advanced Navigation Technology
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    • v.21 no.1
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    • pp.145-152
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    • 2017
  • As a popularization of small UAS to have improved flight performance and easiness of controlling, the UAS industry is increased and also small UAS is to be a new threat for airspace security of national strategic infrastructure. Rising the new threat makes the negative side effect of small UAS operation. This phenomena brought to new R&D needs "defense system" for small UAS/UAV - called Anti-Drone. The paper addressed case study of defects, accidents and threats by small UAS/UAV as world wide level, and research and development trend of UAS defense system as each technical category - CONOP (Concept of Operation), identification/recognition method and control/supremacy techniques. As a result, this suggests the direction what and where drone defense system should be applied first and required for Korean society in the view of society system (regime) and a point of view for minimizing side effect as UAS popularization.

A Stress Analysis for Pressure Vessel to Prevent Spontaneous Ignition of Coal Stockpile (저탄장 자연발화 방지를 위한 압력용기의 응력 해석)

  • Kim, Young In;Kim, Seung Hun;Jie, Min-Seok;Yeum, Chan Sub;Choi, Won Hyuck
    • Journal of Advanced Navigation Technology
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    • v.22 no.3
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    • pp.205-212
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    • 2018
  • Spontaneous ignition is not only severe economic damage but also a typical plant damage caused by harmful gases generated during the fire. Because coal is porous, it causes oxygen to be absorbed in the amount of oxygen per unit weight of oxygen, resulting in low humidity and low thermal conductivity. The cause and effect of spontaneous ignition are very complex, so it is difficult to prevent it beforehand and once it is difficult to digest it, it is difficult to digest it. This study examines structural safety by conducting a structural analysis of the cooling ball system to prevent spontaneous combustion of coal stockpile plants and external pressures.

Centralized routing method of unmanned aerial vehicle using vehicular Ad Hoc networks (차량 네트워크 기반 중앙관리형 무인비행체 경로 유도 시스템)

  • Kim, Ryul;Joo, Yang-Ick
    • Journal of Advanced Marine Engineering and Technology
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    • v.40 no.9
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    • pp.830-835
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    • 2016
  • With the relaxation of regulations on unmanned aerial vehicles (UAVs) in the USA, the development of related industries is expected. Hence, it is anticipated that the number the UAVs will reach approximately 600,000 in the USA in 2017. However, automated flights of commercial UAVs are restricted owing to concerns about accidents. To deal with the possibility of collisions, several studies on collision prevention and the routing of UAVs have been conducted. However, these studies do not deal with various situations dynamically or provide efficient solutions. Therefore, we propose a centralized routing method for the UAV that uses vehicular networks. In the proposed scheme, vehicular networks regard UAVs as data packets to be routed. Accordingly, the proposed method reduces UAV processing power required for route searches. In addition, the routing efficiency for UAV flight paths can be improved since congestion can be minimized by using a vehicular network.

A Study on the Safety Monitoring of Bridge Facilities based on Smart Sensors (스마트 센서 기반의 교량 시설물 안전 모니터링 기법 연구)

  • YEON, Sang-Ho;KIM, Joon-Soo;YEON, Chun-Hum
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.2
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    • pp.97-106
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    • 2019
  • Today, many smart sensor's measurement instruments are used to check the safety situation of various medium and large bridge structures that should be maintained in the construction facilities, but most of them use the method of measuring and confirming the displacement behavior of the bridge at regular intervals. In order to continuously check the safety situation, various measuring instruments are used, but most of them are not able to measure and measure the displacement and behavior of main construction structures at regular intervals. In this study, GNSS and environment smart sensors and drone's image data are transmitted to wireless network so that risk of many bridge's structures can be detected beforehand. As a result, by diagnosing the fine displacement of the bridge in real time and its condition, reinforcement, repair and disaster prevention measures for the structural parts of the bridges, which are expected to be dangerous, and various disasters and accidents can be prevented, and disaster can be prevented could suggest a new alternative.