基于SSA优化的绞吸挖泥船泥浆浓度预测OA

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.