• Title/Summary/Keyword: factory control

Search Result 749, Processing Time 0.036 seconds

Implementation of a Gesture Recognition Signage Platform for Factory Work Environments

  • Rho, Jungkyu
    • International Journal of Internet, Broadcasting and Communication
    • /
    • v.12 no.3
    • /
    • pp.171-176
    • /
    • 2020
  • This paper presents an implementation of a gesture recognition platform that can be used in a factory workplaces. The platform consists of signages that display worker's job orders and a control center that is used to manage work orders for factory workers. Each worker does not need to bring work order documents and can browse the assigned work orders on the signage at his/her workplace. The contents of signage can be controlled by worker's hand and arm gestures. Gestures are extracted from body movement tracked by 3D depth camera and converted to the commandsthat control displayed content of the signage. Using the control center, the factory manager can assign tasks to each worker, upload work order documents to the system, and see each worker's progress. The implementation has been applied experimentally to a machining factory workplace. This flatform provides convenience for factory workers when they are working at workplaces, improves security of techincal documents, but can also be used to build smart factories.

The Development of a remote monitoring and control system for a Fire Protection of Chemical Factory (화학공장의 소방안전을 위한 원격감시 제어시스템 개발)

  • Kim, Hyung-Jun
    • Journal of the Korean Applied Science and Technology
    • /
    • v.26 no.2
    • /
    • pp.151-160
    • /
    • 2009
  • At this study, we are developing a possible control system through remote monitoring for fire protection in various chemical factory facilities. It's possible to do real time confirmation of a normal operation presence of the various equipment installed in a chemical factory through the internet network at a fire fighting head office, an area fire department and a chemical factory situation room using this remote monitoring control system. When occurring, abnormal operation is the remote monitoring control system, which can check this immediately and notify the situation room administrator. After it was tested using developed remote monitoring control system, the remote monitoring for which the internet network was used confirmed possible.

Actual State and Practical Use of a Factory-like Plant Production System in Japan

  • Tanaka, Isao
    • Proceedings of the Korean Society for Bio-Environment Control Conference
    • /
    • 1996.05a
    • /
    • pp.63-73
    • /
    • 1996
  • The importance of plant factory which blend agriculture and manufacture has been discussed widely. This company has researched hydroponics technique for cultivation which has been mainly developed in the sites of Okinawa and Hyougo Prefecture. In 1987, we stopped the previous research there, and started a new one far plant factory at the Agricultural Research Center of Chiba Prefecture. In 1989, we built four experimental plant factories (120㎡) at Chiba Oil Factory Refinery in Ichihara-city, developing techniques of cultivation, equipment production and environmental control for cultivation system of tomato, strawberry and leaf vegetables. (omitted)

  • PDF

The development of automated control system for the growth of shaped sapphire crystals: combined control

  • Borodin, A.V.;Borodin, V.A.;Petkov, I.S.;Sidorov, V.V.
    • Journal of the Korean Crystal Growth and Crystal Technology
    • /
    • v.9 no.4
    • /
    • pp.437-440
    • /
    • 1999
  • New method of control based upon a physical model of the Stepanov growth technique has been developed. The controller keeps the system stable and completely denies operator's interference into the process. The system demonstrates very reliable results under commercial production of shaped sapphire crystals.

  • PDF

Method of Equipment Control for Implementing Smart Factory based on IoT (스마트 팩토리 구현을 위한 IoT 기반의 장비 제어 방법)

  • Cho, Kyoung-Woo;Oh, Chang-heon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2016.05a
    • /
    • pp.803-804
    • /
    • 2016
  • With the advent of Germany's Industry 4.0, research of smart factory to applying the ICT in manufacturing industries is in progress. But the current system controlled equipment using the data declared in the embedded systems. In this paper, we proposed equipment control method to implement smart factory based on IoT. This method is create D/B table of data declared in equipment. and equipment shall call all of control unit parameters. When using the present method, it is possible to efficiently control the number of equipment as less network resource. Also It can operating a factory efficiently.

  • PDF

A Study on the Control and Exposure Assessment to Vinyl Chloride in the Factory Processing and Producing PVC Resin (일부 PVC 수지 제조 및 가공 근로자의 염화비닐 폭로 평가와 대책에 관한 조사 연구)

  • Park, D.W.;Shin, Y.C.;Lee, N.R.;Lee, K.Y.;Oh, S.M.;Chung, H.K.
    • Journal of Korean Society of Occupational and Environmental Hygiene
    • /
    • v.4 no.1
    • /
    • pp.33-42
    • /
    • 1994
  • This study was carried out to assess worker exposure to vinyl chloride monomer (VCM) and to present control measures in the factories processing and producing polyvinyl chloride (PVC) resin. The conclusion remarks are as follows. Only two personal samples in the factory ("E") processing polyvinyl chloride resin were analysed to be 27.6 ppm and 12.6 ppm, respectively. But, these concentration exceed 1 ppm, Permissible Exposure Limits (PEL) of OSHA. So, worker's exposure to VCM at "E" factory should be reevaluated. In "A", "B" and "C" factory producing polyvinyl chloride resin, the average worker's exposures to VCM were 0.12 ppm, 0.86 ppm and 1.23 ppm, respectivery. Worker exposure to VCM at distillation and dry process was higer than other processes at "A" factory. The average exposure concentration of worker at polymerization process of "B" and "C" factory was 1.23 ppm, and 1.46 ppm respcetively. These concentration exceed 1 ppm, Permissible Exposure Limits of OSHA. Control room of "B" and "C" factory had 0.91 ppm and 0.65 ppm of worker's exposure concentration respectively. "A" factory was evaluated to be "acceptable", but "B" and "C" factories were evaluated to be "not acceptable", by the workplace exposure assessment program of AIHA. Process other than bagging and control room of "A" factory was evaluated to "not acceptable". Immediate correction measures for preventing workers from exposure to VCM should be performed in the factories or process that were evaluated to be "not acceptable". After these control measures are taken, worker exposure to VCM must be reevaluated through personal air monitoring. Control measures presented by this study are complete sealing of connecting pipe lines, flanging, packing, bolting and nutting. Periodic leak test for leak parts is also required. And positive pressure facility should be constructed at control room of "B" and "C" factory. Fresh air through cleaner such as HEPA filter should be supplied to control room. In addition to these control measures, periodic personal monitoring for evaluating worker exposure to VCM should be performed.

  • PDF

Developing a Classification of Vulnerabilities for Smart Factory in SMEs: Focused on Industrial Control Systems (중소기업용 스마트팩토리 보안 취약점 분류체계 개발: 산업제어시스템 중심으로)

  • Jeong, Jae-Hoon;Kim, Tae-Sung
    • Journal of Information Technology Services
    • /
    • v.21 no.5
    • /
    • pp.65-79
    • /
    • 2022
  • The smart factory has spread to small and mid-size enterprises (SMEs) under the leadership of the government. Smart factory consists of a work area, an operation management area, and an industrial control system (ICS) area. However, each site is combined with the IT system for reasons such as the convenience of work. As a result, various breaches could occur due to the weakness of the IT system. This study seeks to discover the items and vulnerabilities that SMEs who have difficulties in information security due to technology limitations, human resources, and budget should first diagnose and check. First, to compare the existing domestic and foreign smart factory vulnerability classification systems and improve the current classification system, the latest smart factory vulnerability information is collected from NVD, CISA, and OWASP. Then, significant keywords are extracted from pre-processing, co-occurrence network analysis is performed, and the relationship between each keyword and vulnerability is discovered. Finally, the improvement points of the classification system are derived by mapping it to the existing classification system. Therefore, configuration and maintenance, communication and network, and software development were the items to be diagnosed and checked first, and vulnerabilities were denial of service (DoS), lack of integrity checking for communications, inadequate authentication, privileges, and access control in software in descending order of importance.