• Journal of Conservation Science
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• v.26 no.1
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• pp.33-41
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• 2010

The archival objects are tangible evidence reflecting public work as forming archives which are administrative, historic, symbolic, cultural and artistic value. They are produced from the various countries so that they have different material and manufacture techniques. However there are difficulties in conservation and management because the material investigation and conservation management system are not established. Therefore this research presents fundamental data for the efficient conservation management by material investigation and condition check metal archival objects. Among the public official presents made of metal, 12 pieces which are discoloration, oxidation, loss or crack are chosen for this research. In order to examine extensive condition of metal archival objects, the condition check card used from the domestic museum and the national museum in Japan are collected and then the new check card is produced. X-ray is used to know the making technique, binding means between different material. Portable-XRF is also used for the chemical composition analysis of metal archival objects, and then classifying respectively according to their material. As a result of condition check, it is possible to investgate the appearance character, deteriorated parts and weak parts of structure. Also P-XRF could find out the composition of metal archival objects which is different from existing condition check card. Therefore the research results can be used as fundamental data for further conservation and management as well as long-term conservation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.108-114
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• 2021

AVTE(Air Vehicle Test Equipment) is a device to check status of on-board aircraft equipment before and after flight for performing successful UAV(Unmanned Aerial Vehicle) missions. This paper describes software design and test sequence of the AVTE for enabling easy-manual check by the operator and convenient automatic check of on-board electric equipment respectively. The proposed AVTE inspects BIT(Built-In Test) results of on-board LRUs(Line Replacement Units) including avionics and sensor sub-system devices. Also, it monitors all the LRU status and check the normality of aircraft equipment by means of setting specific values of the LRUs and confirming the expected test results. The AVTE prints the test results as a form of report to easily check the normal conditions of the aircraft equipment and operates automatically without operator interaction, thus being thought to effectively reduce workload of the operator.

• 전기의세계
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• v.45 no.4
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• pp.5-12
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• 1996

지금까지 변압기의 유지보수는 일상순시와 전력설비를 일정기간 사용함에 따른 정기점검에 의하여 불량개소를 발견하고 보수하는 일정주기에 따른 예방보수를 하였으나, 경제적인 유지와 신뢰성 있는 전력공급을 위하여 변압기의 상태를 점검하여 정비하는 상태점검으로 전환하고 있다. 따라서 최근에는 변압기의 이상징후를 운전상태(on-line)에서 상시 감시하여 장래에 일어날 사태 등을 예측하고 그것이 치명적이기 이전에 처리하는 예측보전기술 중심으로 변하고 있다. 변압기의 내부이상을 진단하는 방법으로는 부분방전법, 절연유의 특성시험 및 가스분석법, 역률측정법, 저압서어지 시험법 등이 있으나, 진단방법의 특성 및 신뢰성을 고려할 때, 어느 한 방법으로는 불충분하므로 각종 진단 결과의 종합분석이 필요하다.

• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.72-77
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• 2003

Visual inspection works are very important part of facility maintenance and management life cycle as a step of creating base data for decision making and maintenance and repair. But currently, visual inspection works have been performed unefficiently and unreliably as works on hand, duplication of works, decisions of defect state, unutilization of inspection history, lack of professional and so on. In this research, we developed visual inspection system that processes inspection work efficiently and provides reliability of inspection output, as a target of bridges, tunnels, underground roadway on national road. We defined problems through visual inspection work analysis, examined the solutions and reflected to functional design of system. We will plan to utilize this system in HMCS(Highway Maintenance and Construction Service).

• Journal of the Korea institute for structural maintenance and inspection
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• v.19 no.3
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• pp.64-72
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• 2015

Risk Based Inspection (RBI) Period was proposed for highway bridges in Korea. Hazard factors affecting bridge condition deterioration were found by analyzing condition data from Highway Bridge Management System (HBMS). Certain level of correlations between those factors and condition deterioration were found. They are used to evaluate hazard score. Summarizing several hazard factors, final hazard is classified as three level;high, moderate, low. Vulnerability is assessed only by the current state of bridge. Then, risk matrix is suggested for inspection periods. Inspection periods of the bridges with grade C, D, and E are maintained the same as before. But, those of grade A and B with moderate and high hazard score are elongated to maximum 6 years while the maximum inspection period is three years at present. By adjusting inspection period according to risk assessment, it was shown that 27% of average inspection manpower can be saved.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.9
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• pp.2153-2159
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• 2013

In order to drive a vehicle safely, driver needs to check status of the car. Many moderns are having trouble to spare time to visit auto mechanic and have car mechanics to check their car other than their office hours. If the car status cannot be inspected regularly, it is likely to cause a big accident threatening the surroundings as well as driver's life. Inspection tool and system help driver to check their own vehicle status personally are required for preventing it. In this paper, it designed and realized system that records driving information based on changing data of vehicle (location and automotive internal data) and allows driver can check the vehicle status easily and further, driver can share the driving information with repair shop via the Internet to receive detailed inspection service for car status.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.442-443
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• 2011

22.9kV 가공배전설비 진단방법으로 고주파, 초음파, 열화상, 광학, 활선기별점검이 대표적으로 적용되고 있다. 진단장비로 적출된 가공 배전설비는 광학진단이나 활선기별점검을 통해 기자재의 외관상태등을 최종적으로 확인한다. 활선기별점검은 고(高)비용이며 활선작업차(화석에너지), 활선자격, 다수인원이 필요하고 하천횡단, 장경간, 장척전주, 진입곤란개소 등은 진단점검이 곤란하며 광학진단은 기자재 상부를 진단 할 수 없다는 제약이 있다. 본 논문에서는 항공 원격제어 헬기를 통해 22.9kV 가공배전선로에 근접하여 기자재 상태 확인 방법을 최초로 적용하여 기존의 활선기별 점검 및 광학진단 점검의 문제점을 해소하는데 효과적이었으며, 비용절감과 안전확보, 기존방법에서 점검이 곤란한 사항도 해소는 물론 Green Energy정책에 기여할 수 있었다.

• 건강소식
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• v.35 no.8
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• pp.16-17
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• 2011

양말을 벗고 발 모양 표시 전극에 맞춰 검사기에 올라선다. 전극을 손에 감싸 쥔 뒤 팔을 벌린 상태로 1분만 서 있으면 체성분검사 끝. 결과도 바로 나온다. 검사방법이 간단해 대수롭지 않게 여기기 십상이지만, 몸 상태를 점검하는 기준이 되므로 예방의학적으로 매우 중요하다.

• Journal of the Korea Institute of Building Construction
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• v.23 no.3
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• pp.273-284
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• 2023

This study is centered on the combined use of LiDAR(Light Detection and Ranging) and AR(Augmented Reality) technologies during vertical and horizontal frame measurements in construction projects. The intention is to enhance the quality control procedure, elevate accuracy, and curtail manual labor along with time expenditure. Present methods for accuracy inspection in frame construction often grapple with reliability concerns due to subjective interpretation and the scope for human error. This research recommends the application of LiDAR and AR technologies to counter these issues and augment the efficiency of the inspection process, along with facilitating the dissemination of results. The suggested technique involves the collection of 3D point cloud data of the frame utilizing LiDAR and leveraging this data for checks on construction accuracy. Furthermore, the inspection outcomes are fed into a BIM (Building Information Modeling) model, and the results are visualized via AR. Upon juxtaposing this methodology with the current approach, it is evident that it offers benefits in terms of objective inspection, speed, precise result sharing, and potential enhancements to the overall quality and productivity of construction projects.

• Convergence Security Journal
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• v.20 no.2
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• pp.145-153
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• 2020

The aviation safety policy master plan is promoting the development of aviation safety management technology applying the 4th industrial revolution technology with the goal of establishing a flawless aviation safety management system and establishing a future aviation safety infrastructure. The master plan includes the establishment of various aviation safety management systems such as aircraft fault management using AI & Big data and flight training system using VR/AR. Currently, the Air Force is promoting a flight safety management system using new technology under the goal of building smart air force. Therefore, this study intends to apply the 4th Industrial Revolution technology to the aircraft condition check system that finally checks the safety of the aircraft before flight. The Air Force conducts airframe flaw checks and pre-flight aircraft check. In this study, we architect the airframe flaw check system using AI and drones, and the pre-flight aircraft condition check system using the IoT and big data for more precise and detailed check of aircraft condition and flawlessness check.