Research On Oil Transportation Scheduling Technology Of Oil Terminal Driven By Digital Twin

Oil terminal is the main channel for importing crude oil,responsible for the loading,unloading,storage and transshipment of crude oil and refined oil.With the increasing demand for oil in China,the business volume of oil product terminals has been increasing.The traditional production operation methods of oil product terminals have the characteristics of low operation efficiency and high cost,and it is difficult to meet business needs.The digital twin system can combine the production data,scheduling decision algorithm and simulation optimization of oil terminal,arrange the production operation plan of oil terminal,dynamically handle disturbance events,realize the automation and intelligence of the production operation of oil terminal,and reduce the storage and transportation cost.It is of great significance to study the oil terminal oil transportation scheduling driven by digital twin.The main research contents of this paper are as follows:(1)Digital twin modeling and scheduling mechanism for oil transportation process in oil terminal.The main business processes and related equipment of oil terminal are analyzed and summarized.The digital twin system of oil terminal is modeled from the three levels of element model,behavior model and rule model.Model examples of each type of model are derived to provide a simulation basis for the dynamic scheduling of oil terminals.On this basis,a dynamic scheduling mechanism of oil terminal unloading and transshipment based on digital twin system is designed.(2)Oil terminal unloading scheduling method based on improved NSGA-II.In this paper,oil terminal unloading and transshipment scheduling problems are regarded as the oil unloading sequence arrangement and oil storage tank selection.Aiming at minimizing the time cost of oil tankers in port,the cost of using oil storage tanks,the cost of switching oil storage tanks,the cost of mixing oil in pipelines,and the cost of mixing oil in oil storage tanks during the unloading process,a multiobjectives optimization model for oil terminal unloading and transshipment scheduling is researched and established.A scheduling algorithm based on heuristic search strategy is proposed,and a heuristic search algorithm is proposed to solve the model.Then,combined with some heuristic strategies,an improved NSGA-II algorithm is proposed.The encoding,decoding,crossover and mutation mechanisms of the algorithm are studied.Multiple population strategies,crossover mutation probability adaptive strategies.Improved elite retention strategies are used to enhance the search ability of the algorithm.The optimal solution is obtained by the analytic hierarchy process for the Pareto solution set obtained by the solution.Finally,the experiment is carried out through the unloading and transshipment example of double oil tankers and multiple oil products at the terminal,and the temporary unloading task is set up.The experimental results show that the proposed algorithm has good optimization ability,and can effectively deal with disturbance events under the dynamic scheduling mechanism.(3)Path planning for multiple oil transportation tasks at oil terminal.Aiming at the characteristics of path conflict and oil mixing loss in the multi-transportation path planning of oil terminal.The topological map method is selected to construct oil terminal map,and the adjacency table is used for storage.Then a multi-objective optimization model for the path planning of multiple oil transportation tasks in the oil terminal is established.The model objective is to shorten the path length and reduce the oil mixing loss.According to the characteristics of the model,Dijkstra algorithm and genetic algorithm are chosen for path planning.Firstly,the multi-objective problem is transformed into a single-objective problem by weighting,and then a Dijkstra algorithm considering oil mixing loss and stack optimization is proposed.Then the specific process of applying genetic algorithm in path planning is studied.The genetic algorithm is improved through elite retention strategy,adaptive strategy of crossover mutation probability.Finally,the improved Dijkstra algorithm and the genetic algorithm are combined with the priority allocation strategy to conduct experiments.After many experiments,it is found that the improved Dijkstra algorithm is better than the improved genetic algorithm in both solution quality and solution speed.(4)The visualization system of oil terminal safety production based on digital twin.The requirements of oil terminal digital twin system are analyzed.The system framework and functional modules are designed.The scheduling algorithm and path planning algorithm,Java,VScode,Ue4 and other software and hardware tools are used to complete 2D and 3D frontend development and realize 2D and 3D model visualization,production operation simulation and other functions,verifying that the oil terminal oil transportation scheduling driven by digital twin can effectively manage the production operation of the oil terminal and improve the operation efficiency terminal oil transportation scheduling.