关键词:

污水泵站, 数据模型, 系统辨识, 模拟预测

Abstract:

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.

Key words:

污水泵站, 数据模型, 系统辨识, 模拟预测