• Title/Summary/Keyword: 작업현장

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Design of Information Acquisition System for Equipments on Shop Floor (생산현장의 유연성 및 다양성을 지원하기 위한 설비정보 수집 시스템의 설계)

  • Lee, Jai-Kyung;Lee, Seung-Woo;Nam, So-Jeong;Park, Jong-Kweon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.1
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    • pp.39-45
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    • 2011
  • The processes for manufacturing a product differ depending on the characteristics of the product, and the information used or generated by the processes also varies. To implement a flexible and configurable Manufacturing Execution System (MES), a Data Acquisition System (DAS) that takes into consideration the characteristics of the manufacturing system is required. In this study, we design an information acquisition system that can process the information on equipments of a shop floor in real-time and that is adaptive to the changes in the shop floor. The system has a data parser module for flexible processing of the equipment status, a data mapper module to link the equipment status with a manufacturing process, and an SOA-based data integration module to transmit the processed information to other information systems such as MES and ERP. From the results of pilot study, its maintenance is easy even if new equipment or new manufacturing processes are adopted or if the equipments are rearranged.

Developing an Optimization Model and Program for Planning the Earthwork Based Upon Transportation Theory (수송모형이론에 의한 토공 운반 최적화 모델 및 프로그램 개발)

  • Lee, Seunghak;Son, Jaeho;Pyeon, Jaeho;Lee, Seunghyun
    • Korean Journal of Construction Engineering and Management
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    • v.17 no.1
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    • pp.101-109
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    • 2016
  • During road construction, minimizing haul and return distances as well as keeping a balance between cut and fill quantities are two of the key tasks for earthmoving operation planning. The result of the earthwork planning has a significant impact on the construction cost and duration. Although there have been research efforts regarding optimized earthwork planning using linear programming, the current practice of selecting earthwork planning methods typically depends on a field manager's intuitive and/or experimental knowledge. Furthermore, there is no system considering earthwork influential field factors including the transportation distance, the earthwork quantity, and the recycling ratio of earth volume. Therefore, this research focuses on the development of such a model for planning the optimized earthwork to increase the efficiency of a road construction. The proposed model is developed based upon the transportation problem method which is a part of Linear Programming. The application result of optimization model on a case study shows that the duration and cost for earthwork ha sbeen reduced approximately 19% and 11% respectively

A Study on a CMS Platform for AR-based Remote Collaboration in a Smart Factory (스마트 팩토리에서의 AR 기반 원격 협업을 위한 CMS 플랫폼에 관한 연구)

  • LIm, Hwang-Yong;Ro, Kwang-Hyun
    • Journal of Digital Convergence
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    • v.16 no.12
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    • pp.327-334
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    • 2018
  • This study proposes a CMS platform for AR-based remote collaboration in a smart factory. The Smart Factory site utilizes various forms of AR technology to save time and money. As the level of smart factory increases, system-oriented tasks such as machinery and equipment are performed in people-oriented work. Therefore, there is a need for a system that allows the operator to immediately repair the machine or equipment in case of a failure, or to get help if necessary. Remote collaborative CMS platform is designed to work in conjunction with DATABASE of ERP, MES / POP, and PLM system built through text, 2D 3D contents and smart factory business, This study is meaningful in that it saves time and cost by sharing information such as management, repair method, manual, etc., and repairing it quickly.

Efficient Construction of Open Source-based Sewage Facility Database (오픈소스 기반의 하수 시설물 데이터베이스의 효율적 구축)

  • Ko, Jeongsang;Xu, Chunxu;Yun, Heecheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.5
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    • pp.393-402
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    • 2022
  • Effective data management of underground facilities is very important in terms of human life. For this, input of up-to-date and high-accuracy data should be preceded. Therefore, it is important to have an efficient data input method. In this study, by developing a sewage facility site survey program using open source software, paper drawings could be replaced with tablet PCs. By using a tablet PC, figures and property information acquired from the field are transmitted in real time through a database server. PostGIS query is developed to automate structured editing to minimize manual work in constructing a GIS (Geographic Information System) database for sewage facilities. did. In addition, the database was built using the sewage facility GIS database building program. As a result of comparing and analyzing the existing sewage facility database construction, work process, and work time, the work process was simplified and work time was shortened. In addition, through simple customization of open source software, it will be able to be used for field surveys and database construction in other fields.

Extraction of Worker Behavior at Manufacturing Site using Mask R-CNN and Dense-Net (Mask R-CNN과 Dense-Net을 이용한 제조 현장에서의 작업자 행동 추출)

  • Rijayanti, Rita;Hwang, Mintae;Jin, Kyohong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.150-153
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    • 2022
  • This paper reports a technique that automatically extracts object shapes through Dense-Net, and subsequently, detects the objects using Mask R-CNN in a manufacturing site, in which workers and objects are mixed. It is based on the customized factory dataset by targeting workers, machines, tools, control boxes, and products as the objects. Mask R-CNN supports multi-object recognition as a well-known object recognition method, while Dense-Net effectively extracts a feature from multiple and overlapping objects. After immediate implementation using the two technologies, the object is naturally extracted from a still image of the manufacturing site to describe image. Afterwards, the result is planned to be used to detect workers' abnormal behavior by adding a label on the objects.

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A Field Test Assessment on the Extremity Doses of Highly-Exposed Radiation Workers During Maintenance Periods at Nuclear Power Plants in Korea (원전 계획예방정비기간 고피폭 접촉작업에서 방사선작업종사자의 말단선량 평가 현장시험)

  • Kim, Hee-Geun;Kong, Tae-Young
    • Journal of Radiation Protection and Research
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    • v.35 no.2
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    • pp.57-62
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    • 2010
  • Maintenance on the water chamber of steam generator, the change of pressurizer heater, the removal of pressure tube feeder, and so on during outage in nuclear power plants (NPPs) has a likelihood of high radiation exposure to whole body of workers even short time period due to the high radiation exposure rates. In particular, it is expected that hands would receive the highest radiation exposure because of its contact with radiation materials. In this study, field tests on extremity dose assessment of radiation workers for contact works with high radiation exposure were conducted during the maintenance periods in Korean pressurized water reactors (PWRs) and pressurized heavy water reactors (PHWRs). In this field test, radiation workers were required to wear additional TLDs on the back and wrist, and an extremity dosimeter on fingers including a main TLD on the chest, while performing maintenance. As a result, it was found that the equivalent dose for fingers was distributed in the fixed range of deep dose and the equivalent dose for wrists.

Assessment Module Formulation for the Trapped-Oil Recovery Operations from Sunken Vessels (침몰선 잔존유 회수작업 평가모듈 개발에 관한 연구)

  • Kang, Kwang-gu;Lee, Eun-bang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.1
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    • pp.88-96
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    • 2021
  • When oil tankers, large passenger ships and cargo ships sink under the sea owing to various maritime accidents, the residual cargo oil or fuel oil in the such vessels could pose direct risk to factor for the marine environment and it require safe and rapid removal. Although domestic and foreign salvage companies are adopting various recovery methods and technologies with customizations according to each site during recovery operations studies on reasonable assessment modules for the operation process are relatively insufficient. In this study, the data from trapped-oil recovery operations performed at different site conditions were collected and analyzed in order to designed an operation assessment module, define the operational process steps in terms of preparation, implementation and completion, and derive key factors for each detailed process. Subsequently, the module was designed in such a way as to construct performance indicators to assess these key factors. In order to exclude subjective opinions from the assessment as much as possible, the assessment each item was constructed with indicators based on data that could be evaluated quantitatively and its usefulness was verified by applying the module to the trapped-oil recovery operation cases. We expect this the method and the technology assessment module for the trapped-oil recovery operation on sunken vessels will help to verify the adequacy of the trapped-oil recovery such operation before or after. Furthermore, it is expected that the continuous accumulation of assessment data and feedback from past or future operation cases will contribute toward enhancing the overall safety, efficiency and field applicability of trapped-oil recovery operation.