A configurable system for the definition and automatic calculation of a high number of derived discrete measures

A derived measure is elaborated on the basis of primary events and therefore requires a function that calculates it from the individual values of the primary measures. In order for a derived measure to be calculated, it is necessary to specify the primary measures on which it depends, and to define the dependency function that correlates them and allows its evaluation. In the case of a few derived measures, in the range of tens, the definition and configuration phases of the derived measures can be executed manually, typically through the use of an off-line procedure. In the case of complex systems, dealing with the transformation of hundreds of derived measures, it becomes necessary the preparation of an embedded automatic process, allowing automatic definition of a high number of derived measures, starting from the primary ones, and their calculation according to predetermined, configurable and parametrized rules. © 2015 University of Split, FESB.