• Title/Summary/Keyword: construction equipment database

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Customer Characteristics Modeling for Each Load Pattern using the Database (데이터베이스를 이용한 부하패턴별 수용가 특징 모델링)

  • Lee, Young-Suk;Kim, Jae-Chul;Oh, Jung-Hwan;Yun, Sang-Yun;Park, Chang-Ho
    • Proceedings of the KIEE Conference
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    • 2001.07a
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    • pp.416-418
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    • 2001
  • This Paper presents the 2-step load cycle of daily load curve for representative load pattern of power distribution transformer. We decide the representative load pattern of distribution transformer in domestic using the pattern classification algorithm. The K-mean method is used for the pattern classification algorithm. The acquisition equipment of field load data is utilized for 96-sample distribution transformers and the field data is used in the construction of the database for the creation of daily load pattern.

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A Study on the Reference Building based on the Building Design Trends for Non-residential Buildings (건축물 설계현황 분석을 통한 국내 비주거용 표준건물의 설정에 관한 연구)

  • Jeong, Young-Sun;Jung, Hae-Kwon;Jang, Hee-Kyung;Yu, Ki-Hyun
    • Journal of the Korean Solar Energy Society
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    • v.34 no.3
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    • pp.1-11
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    • 2014
  • The Korean government plans to introduce the building energy performance standard which regulates the annual energy consumption of buildings. This paper aimed to set up the reference building from database based on the building design trends for non-residential buildings. We surveyed the design data of 435 non-residential buildings which were granted building permission from 2007 to 2011. And we conducted estimation on the heating & cooling load and the energy consumption of the reference building using ECO2 program. From results, the reference building of non-residential buildings was office building which had a total 7 floors and $20,838m^2$ gross floor area. And it suggests the design reference data of building envelope, HAVC, heat source equipment and lighting system for the reference building. The total annual energy use of the reference building was $151.9kWh/m^2yr$.

Utilization of a Smart Glass for Improving Data Interface During the Earthwork Operation (토공작업의 데이터 교환 개선을 위한 스마트 글래스 활용)

  • Moon, Sungwoo;Moon, Changgon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.1
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    • pp.167-174
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    • 2017
  • Earthwork is to level or excavate the ground to provide a space for installing structures. A large number of construction equipment such as excavators, dozers, and dump trucks are put into the earthwork operation. The equipment operators need to constantly communicate with each other during the operation. In the earthwork operation, therefore, the process should be analyzed on the equipment operation to improve the effectiveness of communication. The objective of this study is to understand the earthwork process, and improve the effectiveness of data interface by adopting the smart glass technology. In the study, the general process of earthwork is modeled using a process diagram. The data that is generated during the process is modeled using a class diagram. A database is developed to store and reuse the data. The smart glass technology is adopted to develop a data interface during the earthwork operation. The result of the prototype showed that the technology can improve the data interface during excavation overcoming the shortcomings of hand or sound signals.

A Basic Study on BIM Library Business Model based on Building Material Information System (건축 자재 정보 시스템기반 BIM 라이브러리 비즈니스 모델에 관한 기초 연구)

  • Lee, Goon-Jae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.4
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    • pp.43-49
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    • 2017
  • In recent years, the use of BIM in domestic construction has been increasing, but it is used mainly for internal and external visualization rather than for BIM design including drawings. For this reason, several studies have highlighted the lack of libraries and economic problems for BIM design. In other words, for the most economically small domestic design offices, activating the BIM design is a negative factor because it is difficult to invest the necessary manpower and cost to produce and use the required BIM library. The BIM design can be more applicable if the library can be supplied economically, easily, and quickly. In this study, BIM library business model and consideration factors that can provide BIM library service economically, easily, and quickly by considering the existing building material selection task and BIM library are presented. The proposed business model will increase the number of suppliers of BIM libraries, which are lacking in Korea, and will enable an effective BIM design at low cost and effort. If a service that reflects the business model proposed in this study is made, an integrated database that can consistently share information in the design, construction, and maintenance stages will be constructed. This can monitor the changes in material and equipment information during the life cycle of the building. The database can be used to monitor any changes in material and equipment information throughout the life cycle of a building, so that it can be used as historical data for effective design and maintenance as well as for material and equipment upgrades.

A Study on Evaluation Method of the Adaptive Cruise Control (ACC 차량의 시험평가 방법에 대한 연구)

  • Kim, Bong Ju;Lee, Seon Bong
    • Journal of Drive and Control
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    • v.14 no.3
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    • pp.8-17
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    • 2017
  • With automobiles sharply increasing in numbers worldwide, we are faced with critical social issues such as traffic accidents, traffic jams, environmental pollution, and economic inefficiency. In response, research on ITS is promoted mainly by regions with advanced automotive industry such as the U.S., Europe, and Japan. While Korea is working on moving forward in the global market through developing and turning to global standards systems related to ASV (Advanced Safety Vehicle), the country is not fully prepared for such projects. The purpose of ACC (Adaptive Cruise Control) is to control a vehicle's longitudinal speed and distance and minimize driver workload. Such a system should be valuable in preventing accidents, as it reduces driver workload in the 21st-century world of telematics created by development of the automobile culture industry. In this light, the thesis presents a method to test and evaluate ACC system and a mathematical method to assess distance. For the proposed test and evaluation, theoretical values are tested with vehicle test and a database is acquired, by using vehicles equipped with an ACC system. Theoretical evaluation criteria for developing ACC system may be used and scenario-specific evaluation methods may find useful application through testing the formula proposed by comparing the database and mathematical method.

Development of a New Lunar Regolith Simulant using an Automated Program Framework

  • GyeongRok Kwon;Kyeong Ja Kim;Eungseok Yi
    • Journal of Astronomy and Space Sciences
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    • v.41 no.2
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    • pp.79-85
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    • 2024
  • Nowadays, the trend in lunar exploration missions is shifting from prospecting lunar surface to utilizing in-situ resources and establishing sustainable bridgehead. In the past, experiments were mainly focused on rover maneuvers and equipment operations. But the current shift in trend requires more complex experiments that includes preparations for resource extraction, space construction and even space agriculture. To achieve that, the experiment requires a sophisticated simulation of the lunar environment, but we are not yet prepared for this. Particularly, in the case of lunar regolith simulants, precise physical and chemical composition with a rapid development speed rate that allows different terrains to be simulated is required. However, existing lunar regolith simulants, designed for 20th-century exploration paradigms, are not sufficient to meet the requirements of modern space exploration. In order to prepare for the latest trends in space exploration, it is necessary to innovate the methodology for producing simulants. In this study, the basic framework for lunar regolith simulant development was established to realize this goal. The framework not only has a sample database and a database of potential simulation target compositions, but also has a built-in function to automatically calculate the optimal material mixing ratio through the particle swarm optimization algorithm to reproduce the target simulation, enabling fast and accurate simulant development. Using this framework, we anticipate a more agile response to the evolving needs toward simulants for space exploration.

A Framework of Automating Inspection Task Generation for Construction Projects (건축 시공단계 검측 업무 자동 생성을 위한 프레임워크 개발)

  • Jo, Seuckyeon;Lee, Jin Gang;Choi, Jaehyun
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.1
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    • pp.40-50
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    • 2023
  • Quality control (QC) is an essential work for the successful construction project execution. Recently, robust application of ICT to the QC tasks leads to utilizing innovative technologies and equipment. However, overall planing of QC works needs to take place before applying new technologies to each and individual QC task. The objectives of this research involve developing a database and an algorithm that identifies QC tasks and related information upfront. In addition, the researchers developed a methodology to generate inspection tasks in conjunction with construction work tasks. The Korean Ministry of Land and Transportation provides standard supervision checklists. They were classified based on criteria of inspection items, methods, period and the scope. Reinforced concrete work was selected as a case study for validation of the method. This framework can function when planing construction tasks with any type of planning tools and innovative technologies. The researchers expect this framework may contribute to various construction projects when developing QC plans and tasks with applicable technologies.

Estimating Maintenance Cost by Actual Database Based on Operation in Sewage Treatment Plant (하수처리장 실적데이터베이스를 활용한 유지관리비용 예측)

  • Lee, Tai-Sik;Kwak, Dong-Koo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.10
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    • pp.2803-2809
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    • 2009
  • For a successful construction project not only construction engineering and project management technology but also economic evaluation technique is required. Design and construction technologies are necessary to receive a project order. However, construction management technology which can be apply from the project initial phase to the project operation and management phase is required to create a benefit from the project. Construction management technology is one of the effective factors for project success. Economical and efficient cost management from the planning phase influences the project success. This study investigated cost flow and cost factors of domestic Sewage Treatment Plant project for systematic analysis of cost items following the entire project phase. Particularly, data modeling based on domestic Sewage Treatment Equipment maintenance cost DB was performed, and maintenance cost estimation trend line is suggested using Monte carlo Simulation Method to decrease uncertainty of actual results DB and for feasibility study. Korea Academia-Industrial cooperation Society. The Korea Academia-Industrial cooperation Society. The Korea Academia-Industrial cooperation Society. The Korea Academia-Industrial cooperation Society.

Development Method of BIM Data Modeling Guide for Facility Management : Focusing on Building Mechanical System (시설물 유지관리를 위한 BIM 데이터 입력기준 개발방안 : 건축 기계설비를 중심으로)

  • Won, Ji-Sun;Cho, Geun-Ha;Ju, Ki-Beom
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.25 no.4
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    • pp.216-224
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    • 2013
  • Facility data is created throughout the design and construction phase. But the most facility managers bear significant costs that arise from the lack of interoperability with facility lifecycle. This paper is concerned with the way to collect facility data using BIM technology. The aim of this paper is to suggest BIM data modeling guide for the facility management using the information that need to be delivered from design and construction phase to operation and management phase. The BIM data modeling guide focus on the properties of mechanical equipment. It is to be hoped that this study will contribute to collect facility data from as-built BIM data and to build facility management system database without difficulty.

Prediction of dynamic soil properties coupled with machine learning algorithms

  • Dae-Hong Min;Hyung-Koo Yoon
    • Geomechanics and Engineering
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    • v.37 no.3
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    • pp.253-262
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    • 2024
  • Dynamic properties are pivotal in soil analysis, yet their experimental determination is hampered by complex methodologies and the need for costly equipment. This study aims to predict dynamic soil properties using static properties that are relatively easier to obtain, employing machine learning techniques. The static properties considered include soil cohesion, friction angle, water content, specific gravity, and compressional strength. In contrast, the dynamic properties of interest are the velocities of compressional and shear waves. Data for this study are sourced from 26 boreholes, as detailed in a geotechnical investigation report database, comprising a total of 130 data points. An importance analysis, grounded in the random forest algorithm, is conducted to evaluate the significance of each dynamic property. This analysis informs the prediction of dynamic properties, prioritizing those static properties identified as most influential. The efficacy of these predictions is quantified using the coefficient of determination, which indicated exceptionally high reliability, with values reaching 0.99 in both training and testing phases when all input properties are considered. The conventional method is used for predicting dynamic properties through Standard Penetration Test (SPT) and compared the outcomes with this technique. The error ratio has decreased by approximately 0.95, thereby validating its reliability. This research marks a significant advancement in the indirect estimation of the relationship between static and dynamic soil properties through the application of machine learning techniques.