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Inteligentne rozwiązania techniczne w przemyśle. Cz. I

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Warianty tytułu
EN
Intelligent technical solutions in work environment. Part I
Języki publikacji
PL
Abstrakty
PL
W artykule przedstawiono główne kierunki wykorzystania nowych technologii tworzonych na potrzeby ekonomicznej i elastycznej produkcji, które wpływają na zmianę warunków środowiska pracy. Zwrócono uwagę na potrzebę wspomagania nowymi technologiami również obszaru związanego z bezpieczeństwem pracy.
EN
The article presents an overview of the main directions of use of new technologies created for the needs of economic and flexible production and this influences the change environmental conditions. Therefore show the need to applied new technologies in the area of smart work environment.
Rocznik
Tom
Strony
16--20
Opis fizyczny
Bibliogr. 24 poz., tab.
Twórcy
autor
  • Centralny Instytut Ochrony Pracy - Państwowy Instytut Badawczy, ul. Czerniakowska 16, 00-701 Warszawa
Bibliografia
  • [1] The Internet of Things: Manage the Complexity Seize the Opportunity. http://www. oracle.com/us/solutions/internetofthings/iot-manage-complexity-wp-2193756.pdf, 17.10.2014
  • [2] Preimesberger C. Internet of Things Will Change the Way We Work: 10 Reasons Why. http://www.eweek.com/cloud/slideshows/internet-of-things-will-change-the-way-we-work-10-reasons-why.html/#sthash.d9fSCt5.dupf, 17.10.2014
  • [3] Lean manufacturing practices: Issues created when two companies are integrated and quality management standards are imposed. Peter G.J., Shinn K., Fleener F Technology Management in the Energy Smart World (PICMET), 2011 Proceedings of PICMET ‘11: Publication Year 2011, pp. 1-7
  • [4] Ernzer M., Kesavadas T. Interactive Design of a Virtual Factory using Cellular Manufacturing System. Proceedings of the 1999 IEEE International Conference on Robotics & Automation Detroit, Michigan May 1999
  • [5] Wojciechowski S. Materiały inteligentne. Stan zagadnienia 2003. „Inżynieria Materiałowa” 2004, 2:59
  • [6] ILO-OSH 2001: Guidelines on occupational safety and health management systems
  • [7] Patel S., Park H., Bonato P, Chan L., Rodgers M. A review of wearable sensors and systems with application in rehabilitation. „Journal of Neuro Engineering and Rehabilitation” 2012, 9:21
  • [8] Wearable Electroencephalography. Casson, A.J., Yates D., Smith S., Duncan J.S., Rodriguez-Villegas E. „Engineering in Medicine and Biology Magazine”, 2010, IEEE Vol. 29 Issue 3:44-56 DOI: 10.1109/MEMB.2010.936545
  • [9] PLACE-it http://www.place-it-project.eu/, 24.09.2012 r.
  • [10] Krucińska I., Domagała W., Cybula M., Bonfiglio A. Coating Methods of Fibres Used for Textile Transistors. XII Scientific Conference, Faculty of Material Technologie and Textile Design, Technical University of Lodz 2009
  • [11] Kurczewska A., Leśnikowski I. Variable, Thermoinsulation Garments With a Microprocessor Temperature Controller. „International Journal of Occupational Safety and Ergonomics” (JOSE), 2008, Vol. 14, No 1:77-87
  • [12] Zięba J. Models of Textile Magnetic Core. „Research Journal of Textile and Apparel” 2007, Vol. 11, No 4
  • [13] Zięba J., Frydrysiak M., Gniotek K. Textronics Systems for the Breathing Measurement. „Fibres & Textiles in Easten Europe” January/December 2007, Vol. 15, No 5-6:64-65
  • [14] Rubacha M., Zięba J. Magnetic Cellulose Fibres and their Application in Textronics. „Fibres 8 Textiles in Easten Europe” January/December 2007, Vol. 15, No. 5-6:64-65
  • [15] R. Czabanowski Sensory i systemy pomiarowe. oai: www.dbc.wroc.pl: 7205, 21.10.2014 r.
  • [16] Expert system and it’s requirement engineering process. Agarwal M., Goel S. Recent Advances and Innovations in Engineering (ICRAIE), Publication Year: 2014, pp: 1-4 DOI: 10.1109/ICRAIE.2014.6909306
  • [17] Model-based diagnosis directed by heuristic search. Hofmann M.O. Artificial Intelligence for Applications, 1993. Proceedings, Ninth Conference Publication Year: 1993, pp. 197-203 DOI: 10.1109/CAIA.1993.366610
  • [18] The Application and Research of Knowledge Warehouse in the Management of Enterprise Resources. Dang Y., Yuan Z. Computational and information Sciences(ICCIS), International Conference Publication Year: 2011, pp. 491- 494 DOI: 10.1109/ICCIS.2011.272
  • [19] Semantic Analysis on Knowledge System of Intelligence Science and Technology. Yinghui H., Guanyu L. Electrical and Control Engineering (ICECE), International Conference Publication Year: 2010, pp. 1868-1871 DOI: 10.1109/iCECE.2010.459
  • [20] Overview of the New Types of Intelligent Decision Support System. Faguo Z., Bingru Y. Linna L., Zhuo Ch. Innovative Computing Information and Control, 2008. ICICIC „08. 3rd International Conference, Publication Year: 2008, p. 267 DOI: 10.1109/ ICICIC.2008.412
  • [21] Adaptive sampling using mobile robotic sensors. Shuo H., Jindong T. Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference, Publication Year: 2011, pp. 1668-1673 DOI: 10.1109/IROS.2011.6094771
  • [22] Panasiuk I. Zaawansowane rozwiązania sensoryczne na stanowiskach zrobotyzowanych. Control Engineering Polska, listopad 2010, 5. 30-35
  • [23] Oberer-Treitz S. New Safety Paradigm in Human-Robot-Cooperation. Workshop presentation in: „Safe Human Robot Interaction with Industrial and Service Robots” at European Robotics Forum 2012, Odense, 6.03.2012
  • [24] Rocco P Active control of Safety: the ROSETTA Approach. Workshop presentation in: „Safe Human Robot Interaction with Industrial and Service Robots” at European Robotics Forum 2012, Odense, 6.03.2012
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1b164b06-1e32-4895-8668-7edd3e2cda41
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