Data synchronization for operation and maintenance

Abstract: In paper mills, the paper machine is followed by a winding machine which cuts paper to intended width and rolls onto cylinders to specified length. Central to this paper is the gathering and synchronizing of data from databases relevant to automation research for the winder. Part of data gathering was automated with Python and the data was analyzed to determine details about the data. Data was found to be stored in different databases and accessible through different interfaces with some variation in formatting of time strings and time zones between data sources. Other issues, likely stemming from different parts of the greater system being implemented at different times, provided by different companies utilizing different technologies. Suggestions toward streamlining of data gathering for ease of future automation and research were given with discussion of this work, the system, theory and future research.