Design And Implement Of Ship Service Management System Based On Node.js

In recent years,the development and widespread application of information technology has accelerated the process of informatization in various industries.Information shipping has gradually become one of the most important features in modern shipping.Informatization construction of the shipping industry is the future development trend.In recent years,the shipping industry has developed rapidly.Especially under the call of China’s Belt and Road Initiative,it brings new opportunities for the development of the shipping industry.This article aims to make full use of ship data,and tap the potential value of these datas.Establish a ship big data ecological closed loop based on ships and ship models as the core.Transforming the network correlation between the original data into a star cluster with the ship model as the core.Implemented data visualization.Providing better ship information services and data support for surveyors,shipping companies and potential users.This article mainly completes the design and implementation of the ship service management system through the following processes:1.Integrating ship data,the booming shipping industry is accompanied by the growth of ship data,using web crawler technology to obtain open ship data on the Internet,obtaining and analyzing AIS data information from ship-borne AIS equipment,and integrating internal ship equipment data into tree structure.2.To build a digital model of ship,the system’s equipment,record,and checklist all depend on the tree structure.According to business requirements,it is divided into meta models and instance models.Two modules are designed in the system to complete the management of these two models.3.Building a data visualization platform.This system provides a unified data interface,which can provide analysis of multiple dimensions of the ship,and display all ship data in a variety of ways such as lists,detail pages,electronic maps,timelines,and statistical information.4.After cleaning and processing AIS data.Clustering and analysis of ship’s tracking points using DBSCAN algorithm.Dividing geographical area using GeoHash algorithm.We only need to perform cluster analysis on each partition,which greatly improves the efficiency.The historical trajectory of the ship is then drawn using the last set of trajectory points.