Based on the Gelormino sewer LTI discrete model

the paper deduced a feasible generalized data model with the practical requirements

and proposed system identification method:(1)utilizing data mining technology to achieve clustering model structure

(2)applying correlation analysis to determine model structure

and(3)using least squares method and the fading memory recursive least squares method to achieve model parameter identification and on-line identification.The actual calculation result shows that the data model established by the above method can simulate and predict the inflow

the sewage and the water level changes

it can be used to guide the operation and management of urban sewage pumping system.