Abstract
The paper presents a solution for data collection from devices embedded on industrial resources. The proposed architecture is validated using an industrial robot from Omron. Since not all devices that acquire electrical signals from sensors and transmit them in centralized environments (e.g., Cloud) have advanced processing capabilities, the creation of an aggregation node that concentrates data from different types of sources and sends it to the Cloud database is proposed. The data is collected, aggregated and uploaded to the private cloud platform for centralized manufacturing control tasks (product scheduling, resource allocation, monitoring and diagnosis). Experimental results are reported.
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Acknowledgement
This research work has been partially supported by the IBM Faculty Awards 2016 Project: Big Data, Analytics and Cloud for Digital Transformation on Manufacturing – DTM, period of execution 2016-2018.
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Răileanu, S., Anton, F., Borangiu, T., Morariu, O., Iacob, I. (2019). An Experimental Study on the Integration of Embedded Devices into Private Manufacturing Cloud Infrastructures. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. SOHOMA 2018. Studies in Computational Intelligence, vol 803. Springer, Cham. https://doi.org/10.1007/978-3-030-03003-2_13
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