• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.2
• /
• pp.802-809
• /
• 2021

To cope with the increasing maintenance costs due to aging, the maintenance cost was evaluated from the perspective of asset management. The maintenance cost can be predicted based on the condition of the bridge, and the life cycle cost is used as an index. In general, the condition of a bridge has a wide distribution characteristic depending on the deterioration, load, and material characteristics. In this paper, to evaluate the effect of the bridge conditions on the life cycle cost, condition prediction models were constructed considering the service life, deterioration rate, and inspection error, which are the main variables of the bridge condition and life cycle cost calculation. In addition, condition prediction models were constructed based on the distribution of the health index to estimate the upper and lower bounds of the life cycle costs that can occur in individual bridges. Life cycle cost analysis showed that the life cycle cost differed significantly according to the condition of the bridge. Accordingly, research will be needed to increase the reliability of predicting the life cycle cost of individual bridges.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.28 no.6A
• /
• pp.765-778
• /
• 2008

Performance Profiles are essential to predict the performance variation over time for the bridge management system (BMS) based on risk management. In general, condition profiles based on experts opinion and/or visual inspection records have been used widely because obtaining profiles based on real performance is not easy. However, those condition profiles usually don't give a good consistency to the safety of bridges, causing practical problems for the effective bridge management. The accuracy of performance evaluation is directly related to the accuracy of BMS. The reliability of the evaluation is important to produce the optimal solution for distributing maintenance budget reasonably. However, conventional methods of bridge assessment are not suitable for a more sophisticated decision making procedure. In this study, a method to compute quantitative performance profiles has been proposed to overcome the limitations of those conventional models. In Bridge Management Systems, the main role of performance profiles is to compute and predict the performance of bridges subject to lifetime activities with uncertainty. Therefore, the computation time for obtaining an optimal maintenance scenario is closely related to the efficiency of the performance profile. In this study, the Response Surface Method (RSM) based on independent and important design variables is developed for the rapid computation. Steel box bridges have been investigated because the number of independent design variables can be reduced significantly due to the high dependency between design variables.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.1
• /
• pp.513-522
• /
• 2017

Rapid urbanization is being portrayed around the world au causing difficulty to manage public hygiene and maintain public order. Common problems often detected in urban areas including traffic congestion and the deterioration of the ecological environment are also being exacerbated. Despite all the effort being made by the government and local governments to manage urban facilities, urban residents are subjected to various levels of difficulty, due to the number of facilities to be managed exceeding the number of management personnel and the lack of an adequate management system. The aim of this study is to propose a management method using smart phones to improve the maintenance efficiency of urban facilities. First, the one-stop maintenance of urban facilities, including facilities information management, maintenance management and history management, is made possible by using smart phones to collect and transfer pictures and the locations of the urban facilities. Second, maintenance management is based on the location and picture information of the subject, not the location of the smart phones, which enables a prompt understanding of and actions to be taken for the facility. This method is especially effective as the smart phone application sends the facility status information directly to the maintenance personnel. Third, all of the information and figures relating to the facilities is managed using a database, resulting in the easy utilization of the history management and data. Fourth, all of the urban residents have access to this information via smart phone applications and, therefore, expanding the role of the facility maintenance personnel is made possible without any additional investment in infrastructure. Lastly, the location-based information enables the management of roads, trees and trails.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.25 no.5
• /
• pp.114-126
• /
• 2021

This paper compared bridge maintenance in United Stated, United Kingdom, Japan, and Korea. Bridges play an essential role in transportation network and in the economic production process. To provide a desirable level of service to the public within limited budgets, it is required to provide effective bridge maintenance activities (e.g. inspection and repair/rehabilitation) at acceptable level of bridge service. A number of bridges are expected to age rapidly in Korea, which will be the excess burden of government. Since several countries have experienced a number of deteriorated bridges because of aging, the countries aforementioned in this study have already developed comprehensive bridge maintenance programs such as inspection practice and repair/rehabilitation techniques. Therefore, the goal of this paper is to synthesize and to compare useful knowledge on bridge maintenance and bridge crack repair/restoration of deteriorated concrete bridge in the four countries. Finally, recommendations that will serve as guidance to transportation agencies for potential enhancements to bridge maintenance and bridge repairs are presented.

• Annual Conference of KIPS
• /
• 2024.05a
• /
• pp.696-697
• /
• 2024

본 논문은 이동 카메라를 이용하여 터널 내 조명을 자동으로 검출하고, 조명의 고장 여부를 판단하는 연구에 대한 것이다. 실시간으로 조명의 켜짐/꺼짐 상태에 상관없이 조명을 검출할 수 있으며, 꺼진 조명은 조명 고장 의심 영역으로 식별한다. Yolo 와 DeepSORT 를 사용하여 조명 검출과 추적을 진행하였다. 특히, 터널 영상 소실점을 활용하여 조명 위치의 사전 정보로 사용함으로써 조명 검출 정확도를 향상시켰다. 제안한 연구는 터널 내의 조명 관리 및 유지 보수에 도움이 될 것으로 기대한다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2000.04a
• /
• pp.537-539
• /
• 2000

현재 대부분의 관리 시스템들은 관리의 특정 목적을 위해 특정 벤더나 프로토콜, 플랫폼에 의존적이므로 관리자는 비일치적인 하부 구조에 대한 충분한 이해와 네트워크 운영의 상세함을 파악해야 한다. 이는 분산 관리되는 네트워크 정보의 복잡성과 불확실성에 의해 관리자는 정보 관리의 신뢰성을 보장할 수 없으며 큰 유지보수 비용을 가진다. 따라서 본 논문에서는 CORBA를 이종 네트워크 자원의 추상적인 결합 매개체로, 웹 브라우저를 불일치 요소들의 통합된 엑세스 인터페이스로, Java를 서비스 관리 솔루션 개발 도구로 이용함으로써 이들 문제를 해결하고자 한다. 그러므로 Java-CORBA 연동 기술을 통해 이종의 네트워크 시스템 환경들이 통합된 인터네트워킹 상태에서 웹 상의 단일 인터페이스를 통해 네트워크 상태를 확인, 모니터링 할 수 있는 네트워크 관리 클라이언트 시스템을 개발하고자 한다,

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2014.07a
• /
• pp.107-108
• /
• 2014

현재의 지능형 안전 및 유지관리 방법은 자연재해 및 시설물 사용성능 향상 등의 환경변화 대응에 아직 미흡하고, 기술역량도 부족하다. 국내의 시설물의 점검 및 관리 시스템은 대부분 수작업으로 이루어진다. 이러한 수동적인 관리는 시설물의 상태 변화에 실시간으로 대응하지 못함으로서 여러 사고를 초래하기도 한다. 하지만 사람이 일일이 검사하는 수동적인 시설물 관리에서는 이러한 문제점을 완벽히 해결할 수 없으며, 시설물 관리를 위해 많은 유지보수 인력이 필요하지만 예산상의 문제로 인해 관리가 미흡하다. 본 논문에서는 4G 무선네트워크 기반의 영상카메라 및 감지센서 융합형 시각정보화 M2M 게이트웨이를 활용하여 간단한 시설물 관리 시스템 구성으로 인한 기존 원격 영상 감시 시스템과 차별화된 저전력, 저비용, 고효율, 고성능의 무인 시설물 관리 시스템을 설계하였다.

• Proceedings of the KIEE Conference
• /
• 2006.07c
• /
• pp.1457-1458
• /
• 2006

좁은 공간에 고출력 고에너지 레이저를 집속할 때 발생하는 고밀도, 고에너지 플라즈마 연구는 상태방정식, 실험실 천체물리, 전자가속 둥 기초 분야 뿐 아니라 X-선 및 극자외선 광원 개발, 원전 유지보수 등 다양한 산업 활용 분야를 갖고 있어 최근 미국, 프랑스, 일본, 중국 등 선진강대국에서 크게 주목 받고 있는 연구 분야이다. 한국원자력연구소는 물리나 광학의 원천기술 뿐 아니라 미래 산업에 파급효과 큰 플라즈마 기반 연구를 위하여 1 kJ급 고에너지 Nd:Glass 레이저 시설을 구축하고 있다.

• Journal of Korea Society of Industrial Information Systems
• /
• v.29 no.4
• /
• pp.1-11
• /
• 2024

Bridges crack and become damaged due to age and external factors such as earthquakes, lack of maintenance, and weather conditions. With the number of aging bridge on the rise, lack of maintenance can lead to a decrease in safety, resulting in structural defects and collapse. To prevent these problems and reduce maintenance costs, a system that can monitor the condition of bridge and respond quickly is needed. To this end, existing research has proposed artificial intelligence model that use sensor data to identify the location and extent of cracks. However, existing research does not use data from actual bridge to determine the performance of the model, but rather creates the shape of the bridge through simulation to acquire data and use it for training, which does not reflect the actual bridge environment. In this paper, we propose a bridge safety determination edge AI model that detects bridge abnormalities based on artificial intelligence by utilizing acceleration data from bridge occurring in the field. To this end, we newly defined filtering rules for extracting valid data from acceleration data and constructed a model to apply them. We also evaluated the performance of the proposed bridge safety determination edge AI model based on data collected in the field. The results showed that the F1-Score was up to 0.9565, confirming that it is possible to determine safety using data from real bridge, and that rules that generate similar data patterns to real impact data perform better.

• Proceedings of the Korea Concrete Institute Conference
• /
• 2008.04a
• /
• pp.1025-1028
• /
• 2008

Using of maintenance system for gate bridge algorism, We made out algorism and engine for prediction of life cycle by neutralization, freezing-thawing and damage from sea wind. To objective of this system, user can use easily with maintenance system for gate bridge. Also, to improve of maintenance efficiency, web-program made out by superannuated evaluation and analysis of field exposure data. To develope web-program, we framing structure design of database, which is adapted to method of maintenance, repair, and reinforcing