유비쿼터스 컴퓨팅 기술을 활용한 건설관리 고도화

임상묵 충북대학교 2014 국내석사

Recently, some innovative studies were performed in variety industries for improving the business processes by applying information technologies. In the construction industry, business process redesign studies were also performed, which applied the ubiquitous computing technologies to the construction management processes for making the processes more efficient and effective. However, the previous studies were performed only for the small parts of construction management areas. In this study, we define 16 ubiquitous computing technology based construction management tasks using the matrix analysis and literature review from the previous studies. After defining the 16 tasks, we surveyed the construction management experts with questionnaire of the importance, implementation possibility, improvement possibility of the tasks. Using the survey results, we select three construction management tasks: raw material management, construction planning and management, inspection and testing management. We redesign the processes, information systems, and organizations for the three tasks more innovative by applying the ubiquitous computing technologies to the three tasks. The improved processes, information systems, and organizations compose the integrated construction management framework based on the ubiquitous computing technology. We expect that the construction management tasks can be performed more efficient and effective if the ubiquitous computing technology based construction management framework is implemented.

시뮬레이션을 활용한 프리캐스트 콘크리트 공급사슬 생산성 향상 : 재고관리와 몰드할당을 중심으로

권현주 충북대학교 2023 국내석사

This study proposes various production management techniques that can be used in Precast Concrete(PC) manufacturing plants to improve the productivity of the PC supply chain, and evaluates the performance of each technique using simulation. To this end, a simulation model is developed by defining the entities, resources, and processes of the PC supply chain. Five verification theories were used to confirm the suitability of the simulation model produced based on the information as a test bed, and it was confirmed that the simulation model had no errors in the system and reflected reality similarly. Next, raw material inventory management policies are selected to improve productivity for raw material supply, and the performance of each methodology is evaluated. There are three raw material inventory management policies: QO, PO, and sS. Prior to the experiment, the process of optimizing the parameter values ​​of each policy was performed for all experimental cases. As a result of ANOVA on the experimental results, it was found that the raw material inventory management policy and two influencing factors had a significant effect on the inventory management cost, a performance evaluation measure. The policy that showed the best performance in all the experimental cases was QO, and it is judged that it was possible to prepare for the fluctuations in the supply and demand of raw materials through the use of a real-time inventory check system. Finally, in order to improve the productivity of PC member production, five methods of calculating the number of molds Min, Max, SS, AS, and MBAS are developed and the performance of each methodology is evaluated. As a result of the experiment, both the method of calculating the number of molds and the influencing factors were judged to have a significant effect on the mold allocation cost, which is a performance evaluation measure. showed low cost. In addition, as a result of performing sensitivity analysis of cost according to the setting of unit delivery delay cost, SS up to about 180,000 won, MBAS up to about 420,000 won, and other AS showed the lowest cost. These experimental results indicate that an appropriate production management technique should be adopted according to the information of the target system. In conclusion, it was possible to improve the overall productivity of the PC supply chain through the rational operation and management method of the PC manufacturing plant.

시뮬레이션을 활용한 강교 공급사슬 생산성 향상 : 자원할당과 진도관리를 중심으로

이재일 충북대학교 2023 국내석사

The construction industry tries to improve the productivity of the construction supply chain through technological innovations. As part of that, a modular construction method is proposed. However, there is a difficulty in improving productivity because it is still managed based on the manager's experience. Therefore, there is a need for a reasonable operation management methodology to replace the managers' experience. To evaluate the productivity of methodologies, a simulation model is developed as a testbed. To develop the simulation model, the steel bridge supply chain was investigated and Arena simulation software was used. As the results of two verification and three validation tests, the simulation model can be reliable. To improve the productivity of the bottleneck process(the painting process), three resource allocation methodologies are proposed. As a result, Generalized Resource Allocation(GRA) methodology shows the best performance. GRA decreases by Average Number Work In Process(ANWIP) 46.86% and Average Waiting Time(AWT) 45.51% compared with Operation Specific Resource Allocation(OSRA) which is the current resource allocation method in the painting process in steel bridge production factory. Five progress management methodologies are proposed to improve productivity as minimize the total cost which is the sum of earliness cost and tardiness cost. As a result, Real-Time Production Schedule-based Progress Management(RPSPM) methodology shows the best performance. RPSPM decreases by total cost 74.03% compared with Maximum Slack-based Progress Management(MSPM) methodology which is the current progress management method in steel bridge production factory. This research shows that the productivity of a steel bridge supply chain can be improved by adopting reasonable methodologies instead of managers' experience without additional resources and costs. Because the results were evaluated through the simulation model as a reliable testbed, it is expected that the same results will be shown in reality. This will lead to continuous improvement of a steel bridge supply chain.

한국형 자연재해 위험지표 모형 개발

연호재 충북대학교 2015 국내석사

Natural disasters such as heavy rain, typhoon, heavy snow, and strong wind and waves have occurred in the 21st century without exception and have result in enormous loss of human life and economical damages. Continuously changed climate and expanded urban area increase damages from the natural disasters more and more. To cope with the natural disasters, we need to assess the natural disasters exactly and plan and perform the mitigation projects to the natural disasters using the assessment results. To satisfy these political requirements, in this thesis, we proposed a Natural Disaster Risk Index(NDRI) by considering the Korean urban environments through meticulous case studies for the natural disaster risk indexes of Korea and other countries. The proposed index consists of 32 quantitative sub-indexes; 8 sub-indexes in the area of disaster risk, 12 sub-indexes in the area of geographical vulnerability, 5 sub-indexes in the area of social vulnerability, and 7 sub-indexes in the area of response and recovery capability. These sub-indexes can be calculated rapidly and easily by using the data to be managed by the national statistical portal and regional governments and can be integrated to the overall assessment value, i.e. NDRI, by using the nondimensionalization procedure based on the maximum and minimum values of the sub-indexes. We also determine weights of the sub-indexes to mirror significance of them by analyzing the various historical data from the years 2001 to 2009 based on the linear regression and meta analysis methods. In this thesis, we estimated the values of NDRIs for the 225 primary local governments in Korea for the years of 2010 to 2013. And then, to validate the usefulness of NDRI, the estimated values of NDRIs were compared to the economic damages of the corresponding years. Statistical analysis showed that the correlation coefficient between the NDRI and the real damages was 0.5617 and we can conclude that the proposed NDRI accurately assess the potential natural disaster risk enough. We can expect that the policy decision makers can define the high risk cities previously by using the proposed NDRI and can minimize the damages from the natural disasters by performing the mitigation projects through the efficient and effective resource allocation.

3D 포인트 클라우드와 이미지 데이터 융합 기반 프리캐스트 콘크리트 바닥판 치수 검측

오다현 충북대학교 일반대학원 2024 국내석사

The use of precast concrete (PC) members is on the rise in the construction industry due to their efficiency and productivity. For the quality assurance process of PC members, ensuring accurate dimensional quality inspection (DQI) is essential to prevent fabrication errors, delays, and additional costs. To address this need, this study introduces an algorithm that enhances the DQI accuracy by integrating laser scanning and image data. This approach effectively addresses challenges like mixed pixels and missing points in scan data. The algorithm consists of three steps: data preprocessing, edge extraction, and corner extraction. In the initial step, regions of interest (ROI) for measurement are extracted from both laser scan and image data. Subsequently, edge points from these two sets of ROI are identified and registered together. The corner extraction process then determines corner points of the image from the registered edge points using the laser scan data as a reference. These corner points on the image are ultimately used to calculate the dimensions of the PC slab. This study also conducts a parametric study to evaluate the algorithm's performance, considering three influencing factors of 1) resolution 2) tag size and 3) camera distance. The results show that higher resolution, larger tag size, and an optimal camera distance contribute to higher accuracy. Under conditions optimized with these factors, the proposed algorithm achieves an overall accuracy of 1.04 mm, outperforming the previously developed algorithms. These findings show that the proposed algorithm has significant potential for enhancing geometric inspection practices in the construction industry.

기후변화에 따른 아스팔트 포장 공용성 영향 분석

박명주 충북대학교 일반대학원 2024 국내석사

This study is to analyze the influence on the performance of asphalt pavement due to climate change such as temperature rise and abnormal weather that has recently occurred, to scientifically predict the timing of future pavement damage and to prevent appropriate prevention according to the cause. The goal is to reduce the national budget through repairs and provide safe and comfortable roads to the public. Asphalt pavement is easy to handle and economical, it accounts for more than 95% of domestic paved roads. However, it gradually deteriorates over time after completion of pavement, causing cracks to form. When rainfall penetrates into the crack. it causes sudden and unexpected damage. However, the usage period of asphalt pavement depends on various causes such as vehicle load, traffic volume, temperature, precipitation, freezing index, snow-removal-agent amount, materials, and construction conditions, finding the exact cause and predicting the use period of the pavement is an area of interest to many people. Thus, the influence of climate change on asphalt performance was analyzed through correlation analysis between climate data such as temperature and precipitation on national road sections and pavement performance related data such as cracks and plastic deformation. According to the results of this study, it was analyzed that as the average temperature increases, the rate of increase in cracks increases by two times relative to the change in plastic deformation. Therefore, in order to effectively consider these climate change factors, it is necessary to design economically by additionally considering climate change prediction scenarios in the expected life expectancy prediction model of the pavement during the asphalt pavement design process, and road management entities must take into account the recent trend of increasing cracks and it was confirmed that there is a need to reduce the road pavement maintenance budget, which is increasing every year, through early repair of cracks.

시공자 요청에 따른 설계변경절차 개선

필완순 충북대학교 일반대학원 2024 국내석사

A spillway is an accessory structure that cannot be removed from a dam. It is a channel structure that discharges the flood volume that exceeds the capacity of the dam to the downstream side. An emergency spillway or an auxiliary spillway is installed separately from the spillway. Therefore, this thesis proposes an optimal design change method to improve economics by studying design changes cases to solve the problems in the design of the existing Imha dam auxiliary spillway and Chungju dam auxiliary spillway regarding the size and form of the energy dissipator. To this end, the regulations and procedures related to design change were summarized, and the design change process was reviewd focusing on the cases of Imha Dam and Chungju Dam to find ways to improve economics and constructability. As a result, the workability was improved by reducing the size of the energy dissipator at Imha Dam and the auxiliary spillway at Chungju Dam, and the stability of various parts of the energy dissipator was improved. In addition, it was possible to reduce the input construction cost, so that the optimal design change method could be derived. * A thesis for the degree of Master in February 2024.