基于Simulink的污水管网节点流量随机模拟器设计

Stochastic Simulator of Nodal Flows for Sanitary Sewer Networks Based on Simulink

为了合理评价污水管网的运行工况和服务性能,采用非平稳时序分析方法对其中节点入流序列进行了随机建模.首先,奇异点识别采用Tukey提出的方法,趋势项识别采用基于逐步回归分析的曲线拟合法,周期项识别采用累积周期图法.其次,平稳时序模型类型识别采用自相关图和偏相关图,阶数确定采用信息准则方法,参数估计采用最小二乘法.模型通过了残差检验和实用性检验.最后,根据随机建模结果在Matlab/Simulink上设计了污水管网节点流量随机模拟器的结构图,可实现污水管网节点入流序列的蒙特卡罗模拟,并在示波器窗口对模拟流量序列和原始流量序列进行了比较.

In order to reasonably evaluate running conditions and service performances of sanitary sewer networks （SSNs）, the non-stationary time series analysis is used of the stochastic modeling of the nodal inflow series of SSNs. Firstly, Tukey method is used to detect anomalies, and the curve fitting method associated with stepwise regression and the accumulative periodic diagram are used to recognize trend components and periodic components respectively. In addition, the autocorrelation and partial autocorrelation function is used for the style recognition of the stationary time series analysis model, information criterions are used for determining the model order and the least square method is used for parameters estimation. The model is verified by residuals test and practicability test. Finally, the structural diagram of the nodal inflow stochastic simulator of SSNs is designed on Matlab/Simulink platform according to the stochastic modeling results, and used to conduct Monte Carlo simulation of the nodal inflow series for SSNs. The simulated flow series and the measured flow series are compared through the Scope window of Simulink.