Abstract
With the start of a new industrial revolution, meaning the forth level of automation, that includes data lake integration on a local server or cloud options, the need for analysing the gathered data has emerged. The classic methods of statistical analysis are now applied on data collected from servers, and the online statistical approach has emerged by using an Online Statistical Process Control (OSPC) tool. The paper aims to present the statistical methods used for Turbo Blowers optimisation of the cooling process of steam in a closed water-steam circuit, in the metallurgy industry. By using the OSPC connected to a server, data was gathered and processed in order to optimise the cooling process of the steam, in order to provide the end user with the required amount of compressed air without jeopardising the equipment.
Published Version
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