CHAOS-CHARACTERISTIC ANALYSIS OF SEWAGE INWARD-FLOW QUANTITY DATA BASED ON THE MAXIMAL LYAPUNOV INDEX ANALYSIS AND THE METHODS OF SUBSTITUTION

摘要

This article conducts the research in view of the chaos characteristic of inward flow quantity data in Sewage Treatment Plant During the research, we put to use small sampling time: τs = 1 h, to avoid losing some partial information in the primary signal. First, we calculate the Lyapunov's maximal index to determine the chaos characteristics of time sequence based on the phase space restructuring foundation. Then there will be the CRP analysis to the sewage time series. At last, by using the substitution data law, we can eliminate the possibility that time series is quasi periodic, and we can get the conclusion that the time series of contaminated water volume is deterministic system produced by nonlinear dynamics.