engleski

Cognitive Processing of Multimodal Images in Large Databases Environments with Fast Access A Multi-modal Object Management Design Patten (MOMDP) PART I - 'The Overview'

Increasingly competitive 'Automated Manufacturing Environments' (AME) are the main driving forces for investment and improvement in the development of flexible and efficient methodologies based on Information Systems (IS) and specialized in the control and monitoring of Industrial Robots (IR). The success of such methodologies and the IS development, implementation and maintenance processes strongly influence the way AME processes are managed and carried out ; this consequently forces AMEs to evolve and improve. Many factors affect the AME business evolution and the corresponding IS (re)engineering processes, these factors are based on the organisation's production infrastructure. In this paper the authors propose a methodology for planning and implementing production infrastructures based on IRs ; in order to improve AME development process and to fully support company strategic and business needs. The AME Methodology will be identified as AMEM. The proposed methodology uses different components (known also as Design Patterns) which promote an iterative development process of AMEs, based on a high level of reusability of existing components. Components (such as interfacing IRs via TCP/FTP and specialized interfaces) of this methodology have been successfully applied and results are implemented in the laboratory forf Robotics and Automation(LaRA), at the West Switzerland University of Applied Sciences (HES-SO/EIVD).

Automated Manufacturing; Improvement; Methodology and Industrial Robots.

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