Abstract:Affected by extreme weather in cold area and heat transfer of heat exchanger pipeline, temperature distribution in oxidation tank is uneven, complex and changeable, thus affecting efficiency of bacterial oxidation. In order to study temperature dynamic distribution and real-time change of oxidation tank, an offline-online splitting methodology is proposed based on DDDAS to predict temperature of oxidation tank by real-time dynamic accurate simulation. Heat transfer model of oxidation tank is established. In order to solve problem of high dimension of system parameter space, POD method is used to find POD basis of temperature change of oxidation tank in order to reduce system parameter dimensions at offline stage. To address sensor measurement problem, greedy algorithm is used to optimize sensor position in online phase. Finally, RKF is used to inject measurement information into simulation to improve prediction accuracy of oxidation trough temperature. The experimental results show that offline-online splitting methodology can accurately predict temperature of oxidation tank.