Self-propelled Rake Suction Dredger Dredging Optimization Mechanism Analysis And Engineering Applications

With the vigorous development of the dredging business, it has become more and moreprevalent to use the self-propelled trailing suction hopper dredger. The figure of trailingsuction hopper dredger could be seen in whether dredging or hydraulic fill work. In recentyears, the automation and high-efficiency has been the development trend of trailing suctionhopper dredger. However, the dredging efficiency of the trailing suction hopper dredger isrelatively low，which makes the study of dredging optimization particularly important.With the support of the “Ministry Key Laboratory Fund for Dredging”, the projectintends to adopt the genetic algorithms to optimize the dredging process of the trailingsuction hopper dredger, and with the optimal target of the period capacity, The projecttargets at the searches for the optimal control parameters in order to achieve the maximumproduction cycle. Beside, it establishes the control of parameters and the human-machineinterface reflecting the results of dredging to direct the application in engineering. The maincontents of this paper are as follows:Aiming at the work of trailing suction hopper dredger rake head in differentenvironments, this paper sets up two types of mathematical models of the head of rake in anon-high-pressure flushing and pressure flushing, and checks the two models by usingdifferent dredging data of various waters. And then, it proves the correctness of the modelsused to estimate the inhaled density of the rake head, which will provide convenience forthe operation of ships.In this paper, the actual dredging data of Changjiang River in Shanghai are used inconnection with the model of spoil hopper verified and the model of inhaled density in thehead of rake is verified in the paper. It searches for the optimal value of the speed, slurryflow rate entering in the hopper and pressure flush by genetic algorithm and then optimizesthe cycle production. The simulation results show that both the tonnage of the optimized drysoil and the cycle production have increased, which can improves the productivity ofdredging and economic benefits in engineering applications.Finally, the paper establishes a human-machine interface by using the developmentplatform of Visual C++to guide the engineering application. The interface can show thehistorical data of dredging at any time. During the actual dredging process, the workingcondition of dredging can be continuously adjusted with the optimal control parameters to improve the dredging efficiency. Meanwhile, the interface can also display the curvereflecting the change of the tonnage of the dry soil and the size of the periodic capacity,which provides the operators with the basis of decision making to operate the remainingdredging.