1. A system for analyzing and interpreting total scanning fluorescence fingerprints, which are characteristic of complex hydrocarbon fluid mixtures, in order to make a better estimation of composition of the mixture, said system comprising: at least one fluorescence detector; spectrum preprocessor means connected to receive data from each said at least one fluorescence detector; data base manager means connected to said preprocessor means; and a plurality of artificial intelligence modules each capable of performing a specific task, all of said modules being interconnected with said data base manager whereby pattern recognition ability of said artificial intelligence modules is utilized by training to identify relationships between fluorescence fingerprints of an unknown fluid sample and known fluorescence fingerprints to estimate the content of fluid being monitored.