| 1. | Optimal algorithm of pressure measurement node layout in water distribution network
给水管网测压点的一种优化布置方法 |
| 2. | Pressure tapping points on either side of the seat provide the means for flow measurement
阀座两侧的测压点提供流量测量的方法。 |
| 3. | A modified svm model was proposed and implicit function relationship between nodal pressures and pump station flow , pump station head was established based on modified svm model
本文提出了一种改进svm算法，并基于该算法建立了测压点压力和泵站流量、水头之间的隐式函数关系。 |
| 4. | At the same time , its precision is obvious well than experiment one . square root of the average of the square summation of the difference between all estimated node water pressure h * and all real node water pressure h0 is 2 . 04m in xi ' ning network
计算表明，模糊聚类选择的测压点具有较好的代表性，估计的40个节点水压值与实测值误差的方均根为2 . 04m ，估计精度较高，能满足管网模拟的要求。 |
| 5. | Then the most representative node in each group is selected as the locality for setting pressure measure apparatus . the pressure measure points in xi ' ning are optimized and selected by this way . there are 32 measure points which will be setted in the network ( 16 setted )
本文利用模糊聚类方法，对影响系数加以分析将具有相同水压变化规律的节点划归为一组，最后在每组中选择最具代表性的节点作为测压点，从而优化选择了西宁市给水管网测压点。 |
| 6. | At some situation , some nodes pressure and supply of all water - supply sources are measured in xi ' ning ( resistance parameter of all pipes are known ) . by using the pressure of the experiment and optimal measure points , the state simulation is done respectively to get all nodes " pressure . the comparison of the estimation results express that the optimal measure points is more representative than experiment one
利用简约梯度优化法求解给水管网状态估计的最小二乘数学模型，实测某一工况下西宁市配水管网部分节点水压h _ 0 、各水源供水量(管段摩阻已知)分别用优化选择的测压点水压和按经验选择的测压点水压估计所有节点的水压，对西宁市配水管网进行了状态估计。 |
| 7. | The direct optimal model of multi - objective mixed discrete variables for lager - scale water supply system was established , by replacing complicated network hydraulic equation with nodal pressures macroscopic model and relationship model between pump stations flow and head in water supply systems without tanks or towers , genetic algorithm was developed to solve the direct optimal model
以测压点压力宏观模型、水源供水量和水源供水水头之间的关系模型替代复杂的管网水力平衡方程，建立了大型供水系统的多目标混合离散变量的直接优化调度模型。在没有水池和水塔的供水系统中，利用遗传算法对直接优化调度模型进行求解。 |
| 8. | The paper analyze many methods of water demand prediction which include many up to date methods and some in common use , and it bring forward some new combinatorial methods which can meet the need of optimization model in precision , such as season exponent , auto adapt filter , season exponent combined grey model , etc . based on the cost and time of modeling jt mainly study the macroscopic network model which describes the correlation between nodal pressures and water plant discharge
针对时用水量预测模型，采用季节指数法、自适应指数平滑法、季节指数联合自适应过滤法、指数平滑联合自回归法、季节指数联合灰色系统法等具体预测方法，其中数种方法预测精度达到工程要求。实践结果表明，开发的联合法效果较好。考虑到管网宏观模型不但能描述整个管网的工作状态，而且建模所需成本低，运行速度快，省时省力，主要研究了管网宏观模型的建立方法，分析测压点布置原理并编制程序。 |
