Research on the prediction method of yield in extraction process of trailing suction dredger

Abstract

In the process of pumping and shore blowing of trailing suction dredger, the mud and sand movement mechanism of mud tank and sludge discharge pipeline is complex and strongly coupled. It is difficult to obtain the relationship between mud transportation concentration and pumping hatch, mud pump, high-pressure flushing, submarine diversion valve and pipeline through mechanism analysis. Aiming at this problem, this paper proposes a prediction method of instantaneous output of trailing suction dredger pumping and bank blowing based on BP neural network. Through the training of historical construction data, PSO and GA algorithms are used to optimize respectively, and the prediction model of instantaneous output of trailing suction dredger pumping and bank blowing is established. The simulation results show that this method can effectively predict the production of mud from the suction dredger.