挖泥船泥浆管道输送工况点的在线动态优化方法  

Working Points Online Dynamic Optimization Method for Dredge Slurry Pipeline Transport System

作　　者：闭治跃[1] 王庆丰[1] 唐建中[1] 

机构地区：[1]浙江大学流体传动及控制国家重点实验室,杭州310027

出　　处：《机械工程学报》2009年第9期93-99,108,共8页Journal of Mechanical Engineering

基　　金：浙江省湖州市科技攻关计划资助项目(2004GG45)

摘　　要：分析挖泥船泥浆管道输送系统的构成、特性以及边界约束条件。提出一种以比能耗为优化目标的泥浆管道输送工况点在线动态优化方法。既克服以产量最大化为优化目标时能耗过高、效率偏低的弊病,又很好地解决现有离线静态优化方法不适合应用到泥浆管道输送过程中进行工况点连续优化的问题。提出的工况点在线优化方法以实时检测的系统过程参数为基础,利用模糊决策方法进行工况点优化,不依赖于对系统设备特性的准确描述,特别适合于疏浚施工过程中土质和系统特性不断发生变化的场合应用。在浙江临海疏浚施工现场对所提出的方法和传统的手动疏浚作业方法进行对比试验,试验结果证明了该优化方法的有效性,不但提高了疏浚产量,而且减少了泥浆流速和浓度的波动,降低比能耗,提高泥浆管道输送系统的效率。Based on the analysis of the structure, characteristics and boundary conditions of a dredge slurry pipeline transport system, a novel working points online dynamic optimization method is introduced, which uses the pipeline system＇s specific energy consumption as its optimization goal. This method can solve not only the problem of high energy consumption and low efficiency of the optimization methods which use output maximum as their goals, but also the problem that offiine static optimization methods cannot be applied to the slurry pipeline transport system＇s working points online continuous optimization. Based on the real time process data analysis, this method uses the fuzzy decision method to optimize the working points＇ parameters. This method doesn＇t rely on the precise description of the characteristics of slurry pipeline transport system and it can be easily applied to the dredging operation, during which the soil and system＇s characteristics vary from time to time. Comparison experiments of this method and conventional manual operating method are carried out in the dredging field of Linhai County, Zhejiang Province, China. Experiment results show that this method can not only improve the dredging output, but also minimize the fluctuation of slurry concentration and velocity, thus the slurry pipeline transport system＇s specific energy consumption is lower and its efficiency is higher.

关 键 词：疏浚 泥浆管道输送 模糊决策 在线优化 比能耗 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]