关键词: 比能耗, 模糊决策, 泥浆管道输送, 疏浚, 在线优化

Abstract: 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 offline 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.

Key words: Dredging, Fuzzy decision, Online optimization, Slurry pipeline transport, Specific energy consumption