基于神经网络的新通道施工期三峡-葛洲坝枢纽通航保障方案研究  

Navigation guarantee scheme for Three Gorges-Gezhouba hydrojunction during new channel construction based on neural network

作　　者：胡志芳 江舟 王锐锋 张勃 王前 HU Zhi-fang;JIANG Zhou;WANG Rui-feng;ZHANG Bo;WANG Qian(Three Gorges Navigation Authority,Yichang 443002,China)

机构地区：[1]长江三峡通航管理局,湖北宜昌443002

出　　处：《水运工程》2022年第9期147-151,214,共6页Port & Waterway Engineering

摘　　要：三峡新通道和葛洲坝航运扩能工程是解决三峡—葛洲坝枢纽船舶拥堵问题的根本途径,本文建立基于神经网络的预测模型,从实施货物翻坝转运、优化船闸设施和水库调度等方面模拟计算施工期葛洲坝船闸货运通过量,探讨缓解施工期船舶过闸压力的可行性通航保障方案。实测结果表明:通过实施翻坝转运能降低约5.2%的船舶过闸需求;通过优化设置葛洲坝一号闸上游靠船设施和优化枯水期及洪水期三峡库区下泄流量,能够增加三峡—葛洲坝枢纽约5%的货运通过能力。The Three Gorges new channel and the Gezhouba shipping capacity expansion project are fundamental ways of solving the problem of ship congestion at the Three Gorges-Gezhouba hydrojunction.This study develops a prediction model based on neural network to simulate and calculate the freight throughput of the Gezhouba ship lock during the construction from the aspects of implementing cargo transfer over the dam and optimizing ship lock facilities and reservoir scheduling.Then,it explores a feasible navigation guarantee scheme for alleviating the pressure of ships passing through the lock during the construction.The example calculation results show that implementing transfer over the dam reduces the need of ships to pass through the lock by about 5.2%and that optimizing the berthing facilities upstream the Gezhouba No.1 lock and the discharge of the Three Gorges Reservoir area in dry and flood seasons increases the freight throughput capacity of the Three Gorges-Gezhouba hydrojunction by about 5%.

关 键 词：新通道 神经网络 船闸设施 通航保障 流量调度 

分 类 号：U612[交通运输工程—船舶及航道工程]