System and method for compressing production data stream and filtering compressed data with different criteria

Production data are streamed by the shop floor (the field) of a plant towards a data compression processor inside a MES /ERP server. The data stream is segmented in field data intervals of variable duration, each one carrying a tag composed of initial timespan s°, final timespan e°, and the variation v° undergone by the monitored variable, e.g. a production counting, between the reading at e° and at s°. The processor takes the first incoming tag and calculates a data compression interval of constant duration y which is function of e°, then it creates a vector [s°, e°, v°, m = v°, n = e° - s°]. Until the incoming tags fall into the current compression interval, subsequent variations v° are summed up and subsequent s° and e° updated, obtaining an updated vector [s, e, v, m, n], otherwise the compression vector is stored in a SQL database and a new compression interval entered. Compressed values are further aggregated by postponed filtering into calculated time intervals according to selectable filtering criteria, depending on overlapping conditions at the two ends of the filtering interval. The new metric m/n is a multiplier usable with interpolation criteria.