不同灌溉工作制度下的灌溉管网优化设计研究

Study on optimizaiton design for irrigation pipe network under different irrigation schedules

采用基于人工神经网络的两级优化设计模型 ,对自压式灌溉管网进行优化设计 ,并分析了不同灌溉工作制度对管网投资的影响。研究表明 ,通过灌溉管网优化设计 ,可以得到不同灌溉工作制度下的管网投资最小的优化设计结果。与原始设计方案相比能够节约大量的投资 ,并可用于选择合理的灌溉工作制度。

This paper uses the two-level optimization model based on artificial neural networks for optimization design of gravited irrigation pipe network, and analyses the influence of different irrigation schedules on the investment of pipe network. The study shows that the results with minimimum cost under different irrigation schedules can be received through irrigation pipe network optimization design. By contrast to the original design result, optimal design can save much more investment and can be used in choosing reasonable irrigation schedule.