• 제목/요약/키워드: Drone Technology

검색결과 518건 처리시간 0.026초

Real Scale Experiment for Suspended Solid Transport Analysis and Modeling of Particle Dispersion Model (부유 물질 거동 분석을 위한 실규모 실험 및 입자 분산 모형 적용)

  • Shin, Jaehyun;Park, Inhwan;Seong, Hoje;Rhee, Dong Sop
    • Journal of Convergence for Information Technology
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    • 제10권12호
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    • pp.236-244
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    • 2020
  • In this research a suspended solid transport experiment was conducted in the river experiment center to find the characteristics and dispersion of the material. Modeling by the particle dispersion model was also executed to reproduce the suspended solid transport. The suspended solid was consisted of a mixture of silica and water using a mixing equipment, which was then introduced into a real-scale flume and measured with the laser-diffraction based particle size analyzer(LISST) to find the concentration of the material. The comparison between the measured suspended solid concentration using drone images and particle size analyzers, with the model showed a good match overall, which proved the applicability of the model. Along with finding the model applicability, the research showed the potential for suspended solid estimation in high flow situations with high rainfall.

A Study on the Application of Digital Twin Technology for Container Terminals (컨테이너 터미널의 디지털 트윈 기술 적용에 관한 연구)

  • Choi, Hoon-Do;Yu, Jang-Ho
    • Journal of Navigation and Port Research
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    • 제44권6호
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    • pp.557-563
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    • 2020
  • Digital Twin Technology is currently being utilized in many industries and logistics seems soon to follow that trend. Currently, technology introduction to container terminals is restrictedly developing. In reviewing the existing literature, it became clear that research on the application of Digital Twin technology for container terminals is deficient. This study fulfilled AHP and IPA analysis causing fields to adjust priority at the container terminal. The result of analysis on the urgent necessity of adjustable fields' detailed elements from Digital Twin Technology, ATC, intelligent CCTV, and container yards, and showed that they were of the highest priority level. Also, VR/AR Equipment, AYT, Smart Container, Automated Container Delivery Facility, Refrigerated/Freezer Container, Wearable Device for Port Maintenance, and Smart Buoy were reviewed in detail. Our group suggests AQC, Berth, AGV, ASC, Apron, and Automated Mooring as potentially useful Digital Twin Technologies. Finally, our research suggests the OSS equipment, intermodal linkage facility, intelligent drone, and hazardous material storage are areas of low priority.

A Study on the Effectiveness of the 4th Industrial Technology Application for School Building Construction Work (학교건물 시공을 위한 4차 산업기술 적용의 효과성에 대한 연구)

  • Min, Kyung-Suk
    • The Journal of Sustainable Design and Educational Environment Research
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    • 제19권4호
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    • pp.78-87
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    • 2020
  • This study proposed the basic data that contributes to inducing an effective construction plan through the application of the 4th industrial technology to construct a school building that can guarantee the five goals of construction management: cost, process, quality, safety, and environmental management. To this end, 3D printing, drones, robot automation, and augmented reality technologies that are highly usable in construction sites were identified for construction workers. As part of this, related literature and research data were investigated. The selected 4th industrial technology was investigated and analyzed on how it was used for cost, process, quality, safety, and environmental management in a detailed school construction process. As a result of the analysis, significant results were found for the application plan of the 4th industrial technology in school construction for cost, process, quality, safety, and environmental management.

Prognosis of Blade Icing of Rotorcraft Drones through Vibration Analysis (진동분석을 통한 회전익 드론의 블레이드 착빙 예지)

  • Seonwoo Lee;Jaeseok Do;Jangwook Hur
    • Journal of the Korea Institute of Military Science and Technology
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    • 제27권1호
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    • pp.1-7
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    • 2024
  • Weather is one of the main causes of aircraft accidents, and among the phenomena caused by weather, icing is a phenomenon in which an ice layer is formed when an object exposed to an atmosphere below a freezing temperature collides with supercooled water droplets. If this phenomenon occurs in the rotor blades, it causes defects such as severe vibration in the airframe and eventually leads to loss of control and an accident. Therefore, it is necessary to foresee the icing situation so that it can ascend and descend at an altitude without a freezing point. In this study, vibration data in normal and faulty conditions was acquired, data features were extracted, and vibration was predicted through deep learning-based algorithms such as CNN, LSTM, CNN-LSTM, Transformer, and TCN, and performance was compared to evaluate blade icing. A method for minimizing operating loss is suggested.

Analysis of Educational System and Workforce Development Needs for Urban Air Mobility in Daegu-Gyeongbuk (대구경북지역 도심항공교통의 교육 체계 및 인력 양성 수요에 대한 분석)

  • Wooram Lee
    • The Journal of the Convergence on Culture Technology
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    • 제10권4호
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    • pp.701-710
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    • 2024
  • This study conducted a survey of companies in the aviation, drone, and Urban Air Mobility (UAM) sectors to analyze the educational and workforce needs, identifying essential competencies and technical training required. The study also proposed potential areas for collaboration between universities and industry regarding educational methods. Key findings and implications of the survey were derived. The results indicated that the most critical consideration for hiring was job-specific skills in the respective field. The most essential quality for workforce training was identified as enhancing the ability to use various equipment and software related to the major field. In the UAM sector, there was a high demand for personnel and education related to aircraft and components, with the highest demand being for lightweight manufacturing technology for aircraft. This study can serve as foundational data for addressing the educational needs in this field.

Safety Management of Steel Pipe Scaffold using UAV (무인항공기(UAV)를 활용한 건설현장 가시설물 안전관리)

  • Jun, Byong-Hee;Kim, Nam-Gyun;Jun, Kyo-Won;Choi, Bong-Jin
    • Journal of Korean Society of Disaster and Security
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    • 제12권3호
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    • pp.59-67
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    • 2019
  • In this study, the UAV (Unmammed Aerial Vehicle) was applied for the photogrammetry of the construction site and the safety management of steel pipe scaffold. The research site is a temporary facility for building reinforcement on Samcheok Campus of Kangwon National University. The installation condition of the steel pipe scaffold was investigated, and the pillar distance, the beam distance and the wale distance were surveyed. As a result, it was found that the beam distance of the scaffold in the longitudinal direction was in good agreement with the standard, but the pillar distance and the wale distance were found to be less than the standard. Three-dimensional data can be used in drone shooting to enable three-dimensional measurement, so that it is possible to measure facilities hidden or located inside other facilities. Through the drone shooting, the condition of the site can be quickly recorded and the surveying can be carried out without interfering with the work of the field personnel. Although the installation of the temporary structure must be strictly observed to ensure the safety of the workers, it is found that the installation standards are still neglected in the field. In order to prevent this practice, it was thought that the legal system should be supplemented so that it could be checked periodically by using UAV in the field process management.

Evaluation of SWIR bands utilization of Worldview-3 satellite imagery for mineral detection (광물탐지를 위한 Worldview-3 위성영상의 SWIR 밴드 활용성 평가)

  • Kim, Sungbo;Park, Honglyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • 제39권3호
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    • pp.203-209
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    • 2021
  • With the recent development of satellite sensor technology, high-spatial-resolution imagery of various spectral wavelength bands have become possible. Worldview-3 satellite sensor provides panchromatic images with high-spatial-resolution and VNIR (Visible Near InfraRed) and SWIR (ShortWave InfraRed) bands with low-spatial-resolution, so it can be used in various fields such as defense, environment, and surveying. In this study, mineral detection was performed using Worldview-3 satellite imagery. In order to effectively utilize the VNIR and SWIR bands of the Worldview-3 satellite image, the sharpening technique was applied to the spatial resolution of the panchromatic image. To confirm the utility of SWIR bands for mineral detection, mineral detection using only VNIR bands was performed and comparatively evaluated. As the mineral detection technique, SAM (Spectral Angle Mapper), a representative similarity technique, was applied, and the pixels detected as minerals were selected by applying an empirical threshold to the analysis result. Quantitative evaluation was performed using reference data on the results of similarity analysis to evaluate the accuracy of mineral detection. As a result of the accuracy evaluation, the detection rate and false detection rate of mineral detecting using SWIR bands were calculated to be 0.882 and 0.011, respectively, and the results using only VNIR bands were 0.891 and 0.037, respectively. It was found that the detection rate when the SWIR bands were additionally used was lower than that when only the VNIR bands were used. However, it was found that the false detection rate was significantly reduced, and through this, it was possible to confirm the applicability of SWIR bands in mineral detection.

A Study on Orthogonal Image Detection Precision Improvement Using Data of Dead Pine Trees Extracted by Period Based on U-Net model (U-Net 모델에 기반한 기간별 추출 소나무 고사목 데이터를 이용한 정사영상 탐지 정밀도 향상 연구)

  • Kim, Sung Hun;Kwon, Ki Wook;Kim, Jun Hyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • 제40권4호
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    • pp.251-260
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    • 2022
  • Although the number of trees affected by pine wilt disease is decreasing, the affected area is expanding across the country. Recently, with the development of deep learning technology, it is being rapidly applied to the detection study of pine wilt nematodes and dead trees. The purpose of this study is to efficiently acquire deep learning training data and acquire accurate true values to further improve the detection ability of U-Net models through learning. To achieve this purpose, by using a filtering method applying a step-by-step deep learning algorithm the ambiguous analysis basis of the deep learning model is minimized, enabling efficient analysis and judgment. As a result of the analysis the U-Net model using the true values analyzed by period in the detection and performance improvement of dead pine trees of wilt nematode using the U-Net algorithm had a recall rate of -0.5%p than the U-Net model using the previously provided true values, precision was 7.6%p and F-1 score was 4.1%p. In the future, it is judged that there is a possibility to increase the precision of wilt detection by applying various filtering techniques, and it is judged that the drone surveillance method using drone orthographic images and artificial intelligence can be used in the pine wilt nematode disaster prevention project.

Study on the Effect of Emissivity for Estimation of the Surface Temperature from Drone-based Thermal Images (드론 열화상 화소값의 타겟 온도변환을 위한 방사율 영향 분석)

  • Jo, Hyeon Jeong;Lee, Jae Wang;Jung, Na Young;Oh, Jae Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • 제40권1호
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    • pp.41-49
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    • 2022
  • Recently interests on the application of thermal cameras have increased with the advance of image analysis technology. Aside from a simple image acquisition, applications such as digital twin and thermal image management systems have gained popularity. To this end, we studied the effect of emissivity on the DN (Digital Number) value in the process of derivation of a relational expression for converting DN to an actual surface temperature. The DN value is a number representing the spectral band value of the thermal image, and is an important element constituting the thermal image data. However, the DN value is not a temperature value indicating the actual surface temperature, but a brightness value indicating high and low heat as brightness, and has a non-linear relationship with the actual surface temperature. The reliable relationship between DN and the actual surface temperature is critical for a thermal image processing. We tested the relationship between the actual surface temperature and the DN value of the thermal image, and then the radiation adjustment was performed to better estimate actual surface temperatures. As a result, the relation graph between the actual surface temperature and the DN value similarly show linear pattern with the relation graph between the radiation-controlled non-contact thermometer and the DN value. And the non-contact temperature after adjusting the emissivity was closer to the actual surface temperature than before adjusting the emissivity.

The Study on analysis methodology of optimal performance and quantity for Mission-Based drones (임무 기반 드론의 최적성능 및 소요량 분석 방법론 연구)

  • Ha, Young-Seok
    • Journal of Internet Computing and Services
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    • 제21권1호
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    • pp.231-236
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    • 2020
  • This paper addresses the analysis method about optimal performance and required quantity for Mission-Based drones. In the case of drones, although scientific verification of operational performance and quantity of demanded, such as total flight time, total operation time, and appropriate required quantity, is required depending on the operation concept, there is no methodology for analyzing them systematically. That is the reason this research was carried out. Through the suggestion and study about Mission-Based six step analysis method and, this study can present the optimal ROC (Required Operational Capability) and the required quantity based on the operational concept of drones, and technical and economic effects were suggested.