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A distributed Middleware Solution for Continuous Data Collection in Manufacturing Environments

Title 

A distributed Middleware Solution for Continuous Data Collection in Manufacturing Environments

Authors

C. Agostinho, J. Pereira, J.-P. Lorre, S. GHIMIRE, Y. Benazzouz

Year

2016

Workshop, Volumen, pages

Enterprise Interoperability in the Digitized and Networked Factory of the Future, Proceedings of the Workshops of the Eighth International Conference I-ESA 2016, 159-166, 2016

Abstract

Industrial automation platforms are experiencing a paradigm shift. With the new technologies and strategies that are being applied to enable a synchronization of the digital and real world, including real-time access to sensorial information and advanced networking capabilities to actively cooperate and form a nervous system within the enterprise, the amount of data that can be collected from real world and processed at digital level is growing in an exponentially rate. Indeed, in modern industry, a huge amount of data is coming through sensorial networks embedded in the production line, allowing to manage the production in real-time. In this paper, we propose a data collection framework for continuously collecting data from manufacturing industries shop floors and legacy systems. The framework envisions to provide a robust solution to collect, transform and store data on a generic format from a wide range of IoT devices and legacy systems, allowing an easy way to extrapolate business knowledge.

C. Agostinho, J. Pereira, J.-P. Lorre, S. GHIMIRE, Y. Benazzouz