【作者】 张欢；

【导师】 俞孟蕻；

【作者基本信息】 江苏科技大学 ， 电气工程， 2022， 硕士

【摘要】 绞吸挖泥船作为疏浚行业的主要作业船舶,广泛应用于大型港口建设与维护、航道建设与维护、吹填造地等领域。随着疏浚市场的发展与需求变化,大型绞吸挖泥船的建造已成为新的发展方向。如何提高疏浚产量、控制能源消耗,践行绿色疏浚、高效疏浚将成为未来疏浚行业的发展趋势。近年来,随着人工智能技术迅速发展,利用智能技术实现绞吸挖泥船高效率、低能耗施工已成为可能。本文在工业与信息化部高技术船舶项目“疏浚船舶智能作业系统开发”(项目编号:2019.13.GX.50)的支持下,以大型绞吸挖泥船为对象,对绞吸挖泥船的电力系统构成、绞吸挖泥船疏浚过程的机理、输送泥浆浓度控制、疏浚过程中关键用电设备功率优化配置等方面开展研究,主要内容如下:(1)绞吸挖泥船关键系统与电力系统配置研究。针对典型大型绞吸挖泥船,分析绞吸挖泥船关键系统的设备状态与工作原理,并对绞吸挖泥船电力系统配置情况进行阐述分析。(2)绞吸挖泥船疏浚机理及能耗分析。针对大型绞吸挖泥船施工流程的特点,开展绞吸挖泥船疏浚机理分析,对挖掘过程的绞刀切削以及泥浆输送过程进行研究,建立绞刀切削过程、泥泵扬程和管道损失等特征模型,并对疏浚过程中重要设备的功率消耗情况进行分析与计算。(3)绞吸挖泥船泥浆浓度估计研究。针对绞吸挖泥船绞刀吸口处泥浆的浓度无法直接测量而影响输送浓度的问题,采用预测算法对吸口浓度进行估计;利用参数估计的方式计算绞吸挖泥船输送过程中的最大泥浆密度,并利用其估计绞吸挖泥船泥浆输送的最大浓度值。(4)绞吸挖泥船功率优化控制器设计。在对绞吸挖泥船疏浚过程进行参数辨识的基础上,设计一个基于模型预测控制的功率优化器,通过对疏浚过程中主要参数的调节实现绞吸挖泥船疏浚过程的泥浆浓度和单位能耗的优化控制,达到高效疏浚的目的。更多还原

【Abstract】 Cutter suction dredgers,as the main operating vessels in the dredging industry,are widely used in the construction and maintenance of large ports,channel construction and maintenance,and land reclamation.With the development of the dredging market and changes in demand,the construction of large-scale cutter suction dredgers has become a new development direction.How to increase dredging output,control energy consumption,and practice green dredging and efficient dredging will become the development trend of the dredging industry in the future.In recent years,with the rapid development of artificial intelligence technology,it has become possible to use intelligent technology to realize highefficiency and low-energy-consumption construction of cutter suction dredgers.Supported by the Ministry of Industry and Information Technology’s dredging project "Development of Intelligent Operation System for Dredging Ships"(Project No.2019.13.GX.50),this thesis takes large-scale cutter suction dredgers as the object.The composition of the power system,the mechanism of the dredging process of the cutter suction dredger,the control of the concentration of the conveying mud,and the optimal configuration of the power of the key electrical equipment in the dredging process have been studied.The main contents are as follows:(1)Research on configuration of key system and power system of cutter suction dredger.According to the typical large-scale cutter suction dredger,the equipment state configuration and working principle of the key system of the cutter suction dredger are analyzed,and the configuration of the electric power system of the cutter suction dredger is explained and analyzed.(2)Research on the dredging mechanism model of the cutter suction dredger.According to the characteristics of the construction process of large cutter suction dredgers,the research on the reamer cutting and the mud conveying process in the excavation process of the cutter suction dredger is carried out,and the characteristic models of the reamer cutting process,concentration conveying,mud pump head and pipeline loss are established,and the power consumption of important equipment in dredging process is analyzed and calculated.(3)Research on estimation of slurry concentration of cutter suction dredger.The prediction algorithm is used to estimate the mud concentration at the suction mouth of the cutter suction dredger to solve the problem that the concentration of the mud at the suction mouth is not measured and the conveying concentration is affected.Then,the maximum mud density during the conveying process of the cutter suction dredger is calculated by means of parameter estimation,and on this basis,the maximum concentration value of the mud conveyed by the cutter suction dredger is estimated.(4)The power optimization controller design of cutter suction dredger.A power optimizer based on model predictive control is designed,based on the parameter identification of cutter suction dredger dredging process.And through the adjustment of the parameters in the dredging process,the optimal control of the mud concentration and the unit production capacity of the cutter suction dredger in the dredging process can be achieved,so as to achieve the purpose of efficient dredging.更多还原