China’s domestic pulp capacity expansion has stalled in recent years due to a series of environmental policies.Pulp demand is strong,the existing domestic capacity utilization rate has been close to saturation,unable to form an effective and sustainable supply.In order to make up for the gap among them,import pulp gradually become a new trend.Due to the standardization of loading and unloading and the particularity of cargo,pulp unloading efficiency is considered as an important evaluation index to reflect the management level and mechanical efficiency of bulk cargo terminals,as well as to measure the unloading capacity of bulk cargo terminals.Under the background oflackingmechanical reasonable scheme,high rate of idle resources,the incomplete release of mechanical efficiency,the acceleration of pulp unloading efficiency,reduction of the idle mechanical resources,customer satisfaction improvement in pulp unloading and delivery is a problem that traditional bulk cargo terminal always faced.The main work of the study is as follows: 1.After L terminal was selected as the background bulk cargo terminal,the process of pulp unloading was investigated and the data of mechanical operation were collected,and the data were analyzed by SPSS software.2.Using Extendsim simulation software,according to the pulp unloading process and the use of unloading mechanical,the pulp unloading process of the ship hatch is modeled and verified;3.The model is applied.First,the mechanical configuration of current ship unloading operation is studied according to the operation evaluation index.Next,the possibility of multiple types of mechanical configuration is studied according to the total quantity of Lterminal.Finally,Based on the model,a mathematical model of shipmechanical configuration is established and an example is calculated.4.Based on the model,the mechanical configuration scheme of L terminal pulp unloading is given,and the pre-programming process of pulp configuration is established,Suggestions are put forward for the optimization of pulp unloading.The purpose is to improve the efficiency of pulp unloading and reduce the waste of idle resources.The innovation point of this thesis is the research idea,to compare the operation mode and loading and unloading process of all kinds of bulk cargo,and put forward the pulp as a standardized product for the modeling calculation of bulk cargo terminal for the first time.Through the concept of standardized product,the operation analysis are possible.Secondly,the advanced Extendsim simulation software was applied to the bulk cargo terminal with various cargo types,large operation changes and relatively low informationalized level.Using the software to complete the operation modeling,calculation and analysis of the pulp.Three application achievements were obtained: the first was the establishment of the simulation model of pulp unloadin g operation.Through visiting and recording the data of pulp unloading,the pulp unloading of the ship hatch was simulated by using simulation software.New ideas are put forward for the application and promotion of simulation software in other cargo types of bulk cargo terminals in the future.Valuable theoretical basis is provided for the development of simulation software compatible with traditional bulk cargo terminals.Secondly,through the analysis of the whole process,find the bottleneck in the unloading process.According to the bottleneck in pulp unloading,evaluate the existing operation mechanical configuration and put forward suggestions for the future operation mechanical configuration.The third is the application of the simulation model of pulp unloading.Combining the model with the ship operation time,the pre-programming mechanical configuration process,and the simulation test and application of new pulp machine tools,providing theoretical data support and the design ideas for different links of pulp unloading optimization.In the design and development direction of the future cargo terminal,the application of simulation software is an important way for the terminal to become intelligent and big data. |