An open energy consumption-relevant factory automation dataset in the cloud

In order to fully exploit the potential of optimization algorithms for energy savings in factory automation settings, it is needed to bring together engineers that have knowledge of signal processing algorithms with shop floor engineers that are experienced with real manufacturing processes and factory automation settings. This paper presents an open database storing energy-relevant data from a multi-robot flexible factory automation system. The database is currently populated with data regarding equipment CAMX state events, process/cell/device energy consumption and quality. The database is accessible via a URL and will be further populated with data related to production performance, machine failures and temporary stops etc. The intention is to provide algorithm developers with the needed datasets for design of optimization algorithms for energy efficient manufacturing settings.