• Title/Summary/Keyword: smart design and construction

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Design of a GIS-based Smart Pipeline Information Management System Combining DGPS RTK and Surround View (DGPS RTK와 서라운드 영상을 융합한 GIS 기반 스마트 관로정보 관리시스템 설계)

  • Joongjin Kook
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.3
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    • pp.125-129
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    • 2023
  • In this paper, we propose a method to design and implement a smart pipeline information management system that can provide visualization information linked to GIS and roadmap based on the construction of precise pipeline buried information. The smart pipeline information management system consists of a positioning device for high-precision pipeline location measurement and surround view image data recording, a database for data storage and management, and a mobile app for remote monitoring and management. It connects surrounding image data and location data with GIS and roadmap. Convenience and accessibility of management can be improved.

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Digital engineering models for prefabricated bridge piers

  • Nguyen, Duy-Cuong;Park, Seong-Jun;Shim, Chang-Su
    • Smart Structures and Systems
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    • v.30 no.1
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    • pp.35-47
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    • 2022
  • Data-driven engineering is crucial for information delivery between design, fabrication, assembly, and maintenance of prefabricated structures. Design for manufacturing and assembly (DfMA) is a critical methodology for prefabricated bridge structures. In this study, a novel concept of digital engineering model that combined existing knowledge of DfMA with object-oriented parametric modeling technologies was developed. Three-dimensional (3D) geometry models and their data models for each phase of a construction project were defined for information delivery. Digital design models were used for conceptual design, including aesthetic consideration and possible variation during fabrication and assembly. The seismic performance of a bridge pier was evaluated by linking the design parameters to the calculated moment-curvature curves. Control parameters were selected to consider the tolerance control and revision of the digital models. Digitalized fabrication of the prefabricated members was realized using the digital fabrication model with G-code for a concrete printer or a robot. The fabrication error was evaluated and the design digital models were updated. The revised fabrication models were used in the preassembly simulation to guarantee constructability. For the maintenance of the bridge, the as-built information was defined for the prefabricated bridge piers. The results of this process revealed that data-driven information delivery is crucial for lifecycle management of prefabricated bridge piers.

MOGA-Based Structural Design Method for Diagrid Structural Control System Subjected to Wind and Earthquake Loads

  • Kim, Hyun-Su;Kang, Joo-Won
    • International journal of steel structures
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    • v.18 no.5
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    • pp.1598-1606
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    • 2018
  • An integrated optimal structural design method for a diagrid structure and control device was developed. A multi-objective genetic algorithm was used and a 60-story diagrid building structure was developed as an example structure. Artificial wind and earthquake loads were generated to assess the wind-induced and seismic responses. A smart tuned mass damper (TMD) was used as a structural control system and an MR (magnetorheological) damper was employed to develop a smart TMD (STMD). The multi-objective genetic algorithm used five objectives including a reduction of the dynamic responses, additional stiffness and damping, mass of STMD, capacity of the MR damper for the integrated optimization of a diagrid structure and a STMD. From the proposed method, integrated optimal designs for the diagrid structure and STMD were obtained. The numerical simulation also showed that the STMD provided good control performance for reducing the wind-induced and seismic responses of a tall diagrid building structure.

A study on the development method of the domestic sewing industry for the re-vitalization of K-fashion (K-패션 활성화를 위한 국내 패션봉제산업의 발전 방향성 제고)

  • Kim, Hee-Sun;Ahn, Young-Sill
    • Journal of the Korea Fashion and Costume Design Association
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    • v.21 no.4
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    • pp.181-194
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    • 2019
  • The purpose of this study is to analyze the problems associated with the domestic fashion sewing industry and suggest solutions for re-development. The research methods are a content analysis of literature, including articles and reports, and interviewing practitioners who are in charge of the fashion industry. The problems of the domestic fashion sewing industry are as follows. 1. Weakness in price competitiveness and a lack of work. 2. Aging of workers and difficulty securing new workers. 3. The age of the production facilities and the lack of manpower required for mass production. 4. Unrealistically low cost of labor due to over-competition considering the lack of work.5. The prevalence of illegal label grinding. The solutions to the problems listed above are as follows. 1. Establishment of a win-win effort between fashion brands and sewing companies. 2. Allow systematic education, support, and development of a meister system for fostering sewing manpower. 3. Undertake efforts to improve the sewing work environment. 4. Establishment of the system for realizing the actual cost of labor. 5. Establishment of a quota system to secure domestic sewing production. 6. Construction of Smart DB to connect work orders. 7. Construction of a smart factory using technology such as automated systems of production suitable for the 4th Industrial Age. 8. Enforcement of specialized strategies to encourage fashion sewing companies, not only Seoul but also in other urban areas.

Development of Remote Control System based on CNC Cutting Machine for Gradual Construction of Smart Factory Environment (점진적 스마트 팩토리 환경 구축을 위한 CNC 절단 장비 기반 원격 제어 시스템 개발)

  • Jung, Jinhwa;An, Donghyeok
    • KIPS Transactions on Computer and Communication Systems
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    • v.8 no.12
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    • pp.297-304
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    • 2019
  • The technological advances such as communication, sensor, and artificial intelligence lead smart factory construction. Smart factory aims at efficient process control by utilizing data from the existing automation process and intelligence technology such as machine learning. As a result of constructing smart factory, productivity increases, but costs increase. Therefore, small companies try to make a step-by-step transition from existing process to smart factory. In this paper, we have proposed a remote control system that support data collection, monitoring, and control for manufacturing equipment to support the construction of CNC cutting machine based small-scale smart factory. We have proposed the structure and design of the proposed system and efficient sensing data transmission scheme. To check the feasibility, the system was implemented for CNC cutting machine and functionality verification was performed. For performance evaluation, the web page access time was measured. The results means that the implemented system is available level.

Conceptual Design of Ground Control Point Survey Automation Technology Using Drone (드론을 활용한 지상기준점 측량 자동화 기술의 개념디자인)

  • Jae-Woo Park;Dong-Jun Yeom
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.4_2
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    • pp.687-696
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    • 2023
  • In recent construction sites, digital maps obtained through drone photogrammetry have garnered increasing attention as indispensable tools for effective construction site management. the strategic placement of Ground Control Points (GCPs) is crucial in drone photogrammetry. Nevertheless, the manual labor and time-intensive nature of GCP surveying pose significant challenges. The purpose of this study is to design the concept of automated GCPs survey technology for enhancing drone photogrammetry efficiency in construction sites. As a result, the productivity of the automated method was analyzed as 118,894.7㎡/hr. It is over 25% productivity improvement compared to traditional methods. In future studies, economic analysis of automated methods should be studied.

A Study on Design and Implementation Processes of a Smart Factory for Aircraft Parts (항공기 부품 스마트 공장 구축 프로세스 연구)

  • Kim, Byung-Joo;Kim, Deok Hyun;Lee, In Su;Jun, Cha-Soo
    • Journal of Korean Institute of Industrial Engineers
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    • v.43 no.3
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    • pp.229-237
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    • 2017
  • Presented in this paper is a case study of constructing a smart factory for aircraft parts. The construction procedure involves four phases. First of all, its management goals are set, and layout design and simulation are carried out in the conceptual design phase. In the detail design phase, operating scenarios for each module are written out, and probable risks are analyzed by expert groups, and then requirements for developing equipments and subsystems are determined with consideration for element technologies and their integration schemes into the smart factory. In the fabrication and installation phase, system development, equipment fabrication and installation are proceeded in a separate manner, and then integrated together subsequently. In the operation and improvement phase, the factory is stabilized, sophisticated and improved constantly during real operation.

Design and Development of Web-Based Decision Support Systems for Wheat Management Practices Using Process-Based Crop Model (과정기반 작물모형을 이용한 웹 기반 밀 재배관리 의사결정 지원시스템 설계 및 구축)

  • Kim, Solhee;Seok, Seungwon;Cheng, Liguang;Jang, Taeil;Kim, Taegon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.66 no.4
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    • pp.17-26
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    • 2024
  • This study aimed to design and build a web-based decision support system for wheat cultivation management. The system is designed to collect and measure the weather environment at the growth stage on a daily basis and predict the soil moisture content. Based on this, APSIM, one of the process-based crop models, was used to predict the potential yield of wheat cultivation in real time by making decisions at each stage. The decision-making system for wheat crop management was designed to provide information through a web-based dashboard in consideration of user convenience and to comprehensively evaluate wheat yield potential according to past, present, and future weather conditions. Based on the APSIM model, the system estimates the current yield using past and present weather data and predicts future weather using the past 40 years of weather data to estimate the potential yield at harvest. This system is expected to be developed into a decision support system for farmers to prescribe irrigation and fertilizer in order to increase domestic wheat production and quality by enhancing the yield estimation model by adding influence factors that can contribute to improving wheat yield.

A Study on the Development Plan of Smart City in Korea

  • KIM, Sun-Ju
    • The Journal of Economics, Marketing and Management
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    • v.10 no.6
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    • pp.17-26
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    • 2022
  • Purpose: This study analyzes advanced cases of overseas smart cities and examines policy implications related to the creation of smart cities in Korea. Research design, data, and methodology: Analysis standards were established through the analysis of best practices. Analysis criteria include Technology, Privacy, Security, and Governance. Results: In terms of technology, U-City construction experience and communication infrastructure are strengths. Korea's ICT technology is inferior to major countries. On the other hand, mobile communication, IoT, Internet, and public data are at the highest level. The privacy section created six principles: legality, purpose limitation, transparency, safety, control, and accountability. Security issues enable urban crime, disaster and catastrophe prediction and security through the establishment of an integrated platform. Governance issues are handled by the Smart Special Committee, which serves as policy advisory to the central government for legal system, standardization, and external cooperation in the district. Conclusions: Private technology improvement and participation are necessary for privacy and urban security. Citizens should participate in smart city governance.