计算机与数字工程2026，Vol.54Issue(4)：928-932,5.DOI:10.3969/j.issn.1672-9722.2026.04.004
基于SSA优化的绞吸挖泥船泥浆浓度预测
Prediction of Slurry Concentration of Cutter Suction Dredger Based on SSA Optimization
姚旭 1俞孟蕻1
作者信息
- 1. 江苏科技大学苏州理工学院 张家港 215600
- 折叠
摘要
Abstract
During the actual construction of the cutter suction dredger,the mud concentration and flow rate control of the mud conveying pipeline are two important parameters that affect the dredging output and the safe transportation of mud,the mud concen-tration is affected by many factors,such as the traverse speed of the cutter,the rotating speed of the cutter,the rotating speed of the underwater pump,etc.Real time prediction and control of the mud concentration is an important means to achieve efficient and safe dredging.This paper adopts actual construction data,an optimization method based on sparrow search algorithm(SSA)is proposed to predict mud concentration,LSTM model and ELMAN model are established and compared with the optimized SSA-LSTM and SSA-ELMAN models.The results show that SSA optimization method can realize the concentration prediction of cutter suction dredger,and has high prediction accuracy and stability.关键词
绞吸挖泥船/泥浆浓度/浓度预测/麻雀搜索算法Key words
cutter suction dredger/mud concentration/concentration prediction/sparrow search algorithm分类
信息技术与安全科学引用本文复制引用
姚旭,俞孟蕻..基于SSA优化的绞吸挖泥船泥浆浓度预测[J].计算机与数字工程,2026,54(4):928-932,5.
