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Wyświetlanie 1-2 z 2
Tytuł:
Integration of Advanced Monitoring in Manufacturing Systems
Autorzy:
Oborski, P.
Powiązania:
https://bibliotekanauki.pl/articles/99709.pdf
Data publikacji:
2015
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
integrated monitoring system
manufacturing
multiagent systems
cyber-physical systems
shop floor control
Opis:
Novel concept of monitoring systems integration, reference models and test application for manufacturing are presented in the paper. Research results are an answer for industry needs for development of IT solutions that will allow to integrate information flow in production systems. The idea of standalone advanced monitoring devices connection with Shop Floor Control, MRP/ERP and machine operators is discussed. The concept of monitoring systems integration has been formally described by reference models. They corresponds with original multilayer data structure proposed on the base of data tree. Data model allows to describe orders, products, processes and to save monitoring results. Both kind of models has been the base for implementation of the integrated monitoring system demonstrator. The demonstrator developed in the frame of research was built on the base of multiagent technology. It allows to keep high flexibility and openness of the system, as well as easy implementation of various intelligent algorithms for data processing. Currently, an application of integrated monitoring system for real production system is developed. The main problems and future development of monitoring integration in discrete production are presented and discussed in the article.
Źródło:
Journal of Machine Engineering; 2015, 15, 2; 55-68
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integrated monitoring system of production processes
Autorzy:
Oborski, P.
Powiązania:
https://bibliotekanauki.pl/articles/407303.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
production process
integrated monitoring system
Cyber-Physical-Systems
management systems
process monitoring
shop floor control
company IT systems
multiagent systems
Opis:
Integrated monitoring system for discrete manufacturing processes is presented in the paper. The multilayer hardware and software reference model was developed. Original research are an answer for industry needs of the integration of information flow in production process. Reference model corresponds with proposed data model based on multilayer data tree allowing to describe orders, products, processes and save monitoring data. Elaborated models were implemented in the integrated monitoring system demonstrator developed in the project. It was built on the base of multiagent technology to assure high flexibility and openness on applying intelligent algorithms for data processing. Currently on the base of achieved experience an application integrated monitoring system for real production system is developed. In the article the main problems of monitoring integration are presented, including specificity of discrete production, data processing and future application of Cyber-Physical-Systems. Development of manufacturing systems is based more and more on taking an advantage of applying intelligent solutions into machine and production process control and monitoring. Connection of technical systems, machine tools and manufacturing processes monitoring with advanced information processing seems to be one of the most important areas of near future development. It will play important role in efficient operation and competitiveness of the whole production system. It is also important area of applying in the future CyberPhysical-Systems that can radically improve functionally of monitoring systems and reduce the cost of its implementation.
Źródło:
Management and Production Engineering Review; 2016, 7, 4; 86-96
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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