• Title/Summary/Keyword: smart factory

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Smart Factory's Environment Monitoring System using Bluetooth (블루투스를 이용한 스마트팩토리의 환경 모니터링 시스템)

  • Lee, Hwa-Yeong;Lee, Sung-Jin;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.224-226
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    • 2021
  • Recently, in order to increase the efficiency of the product production process, the automation of facilities and devices in the factory is in progress, and a smart factory is being built using ICT and IoT technologies. In order to organically solve many problems occurring in the smart factory, a system for monitoring the wireless communication function between facilities and devices and the manufacturing process environment of the smart factory is required. In this paper, we propose a monitoring system using a Bluetooth module, a temperature/humidity sensor and a fine dust sensor to remotely monitor the process environment of a smart factory. The proposed monitoring system collect Arduino sensor values wirelessly through Bluetooth communication.

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Design of GlusterFS Based Big Data Distributed Processing System in Smart Factory (스마트 팩토리 환경에서의 GlusterFS 기반 빅데이터 분산 처리 시스템 설계)

  • Lee, Hyeop-Geon;Kim, Young-Woon;Kim, Ki-Young;Choi, Jong-Seok
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.1
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    • pp.70-75
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    • 2018
  • Smart Factory is an intelligent factory that can enhance productivity, quality, customer satisfaction, etc. by applying information and communications technology to the entire production process including design & development, manufacture, and distribution & logistics. The precise amount of data generated in a smart factory varies depending on the factory's size and state of facilities. Regardless, it would be difficult to apply traditional production management systems to a smart factory environment, as it generates vast amounts of data. For this reason, the need for a distributed big-data processing system has risen, which can process a large amount of data. Therefore, this article has designed a Gluster File System (GlusterFS)-based distributed big-data processing system that can be used in a smart factory environment. Compared to existing distributed processing systems, the proposed distributed big-data processing system reduces the system load and the risk of data loss through the distribution and management of network traffic.

Analysis of ICT Converged Smart Factory and its Driving Strategy (ICT 융합 스마트공장의 분석 및 추진전략)

  • Moon, Seung Hyeog
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.3
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    • pp.235-240
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    • 2018
  • ICT converged smart factory started from German Industry 4.0 has been the driving force for the $4^{th}$ Industrial Revolution and the center of manufacturing innovation for major industrial countries. It will be developed according to industry characteristics of each country. Korea is relatively later than other competing countries in the smart factory area. So, the government is establishing related policy and tendering all sorts of supports for smart factory mainly to the small and medium-sized enterprises to spread over the manufacturing industry. It is necessary for government to categorize among similar manufacturing industry and make them share digitalized production information mutually. It will be more effective method for securing global competitiveness than the uniform support. Also, large companies need to establish cloud based production forecasting system over similar industry and share it with other companies rather than expansion of individual smart factory. Mutual development in the manufacturing industry will be realized when the small and medium-sized enterprises and large companies take part in the cooperating ground of smart factory.

A Case Study on Smart Plant and Monitoring System Implementation of Venture Company for Auto Parts (자동차부품 벤처기업 스마트공장 및 모니터링 시스템 구현 사례연구)

  • Han, Jae Hun;Lee, Deok Soo;Park, Roh Gook
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.5
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    • pp.29-37
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    • 2017
  • In this study, real-time monitoring is carried out in the factory site for product quality control such as improvement of productivity through facility automation, improvement of product quality, improvement of factory environment, check of facility maintenance status and check of product defect, And to establish a smart factory for the purpose of protecting the personal environment of the worker. The company is an auto parts company located in the province. The main research content is development of automation and monitoring system of oil filter clipping necessary for smart factory. Smart factory oil filter clipping automation is divided into electric air parts, solenoid valve and other parts processing process. Smart factory quality inspection monitoring system is implemented by server PC and S / W, client software, Operator PC, operating program, and input terminal application. This research data is expected to be very useful data for the auto parts venture companies that are promoting smart factories.

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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.

Design and implementation of IoT platform for collecting and managing the SmartFactory environment information

  • Kim, SungJin;Ra, SangYong;Kim, HwanSeog;Choi, JaeHong;Lee, JunDong
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.6
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    • pp.109-115
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    • 2019
  • Smart Factory is a part of and a key point of the 4th industrial revolution. It performs optimization from the whole viewpoint, using comprehensive data of the post-process data by utilizing various sensors, controllers, and mobile devices beyond the existing factory automation level. In this paper, we design and implement an IoT platform that can detect the safety factors of the workers, the environmental factors of the factory, and real time monitoring at the control center, among the fields to implement smart factory. To accomplish this, we construct a monitoring device that provides sensor information control, server transmission of sensor information, and visualization of collected information. By using this system, it is possible to maintain the temperature and humidity for the optimum working environment in the factory. and also, By using the beacon, it is possible to measure the working time of the worker and trace the position.

A System Architecture for Facility Fault Diagnosis and Repair Action in Smart Factory (스마트 팩토리에서 설비 장애 진단 및 조치 시스템 구조)

  • Cho, Jaehyung;Lee, Jaeoh
    • KNOM Review
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    • v.23 no.1
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    • pp.18-25
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    • 2020
  • Recently, a research on a smart factory was developed from a concept of factory automation(FA) to the formation of collecting and analyzing data. This trend is accelerated as the development of communication technology(5G) and IoT devices are developed in various ways according to the field situation. In addition, digital transformation has been actively conducted in the strengthening corporate competitiveness, and various optimization studies are being conducted through process re-adjustment by combining data received from various IoT equipment and automated facilities. Therefore, in this paper, we propose a system architecture and its related components in diagnosing and repairing facility failure using a prediction system which is one of the related researches.

Investigation of Factors for Smartization of Ppuri Enterprises Based on the Smart Factory Status (뿌리기업 스마트공장 구축 현황과 영향관계 분석)

  • Kim, Bo Kyung;Lee, Sang Mok;Kim, Tae Bum;Kim, Taek Soo;Kim, Chang Kyung
    • Journal of Powder Materials
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    • v.29 no.2
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    • pp.166-175
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    • 2022
  • Ppuri or Root technology primarily includes technologies such as casting, mold, plastic working, welding, heat treatment and surface treatment. It is regarded as an essential element for improving the competitiveness of the quality of final products. This study investigates the current status of smart factory implementation for Ppuri companies and analyzes the influencing relationships among various company factors. The factors affecting smart factory implementation for Ppuri companies are sales, exports, number of technical employees, and holding corporate research institutes. In addition, this research shows that even if smart factory implementation is pursued for data collection, data utilization is not implemented properly. Thus, it is suggested that the implementation of smart factories requires not only the availability of facilities and systems but also proper data utilization.

Case Analysis for the Development of Smart Factory ISP Indicators

  • Heon-Wook Lim
    • International Journal of Advanced Culture Technology
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    • v.11 no.3
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    • pp.321-326
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    • 2023
  • The purpose of this study is to create and present a formalized module of ISP (Information Strategy Plan), a smart factory consulting method that is helpful to companies or consultants who will build smart factories. Order of study is First, the theoretical research direction is established through the investigation of related papers. Second, ISP policy research practices are compared to derive practical implementation methods. Third, in order to derive a standardized module method related to the final smart factory ISP, related cases of the government and individuals are compared. As a result of previous research, ISP (Information Strategy Planning), a consulting methodology, is similar to Deming's PDCA, and is regarded as Plan (environment and current status analysis), Do (establishment of future model goals), Check (establishment of implementation plan), and Act (follow-up management). As a result of the study, we obtained the following results. The first step is to analyze the current status and identify the purpose of introduction and problems in plant operation. In the second step, establish a consulting plan and derive a proposal description, strategic task, and master plan. Step 3 establishes detailed action plans, evaluates consulting outputs and consulting, and reports performance. Step 4 is established as follow-up management consulting. The limitation of the study is that although related data were compared to develop the consulting methodology into a standardized module, FGI analysis through experts or Delphi survey were not conducted, so there is a limit to the reliability of the mapping results.