Design And Development Of AIS Module In VDEs Visual Simulation Platform

VDES is a collection of AIS,ASM and VDE.The VDE part can be further divided into the VDE ground and the VDE satellite uplink and downlink.The VDE part is still in its infancy in China.With the deepening of AIS research,Data visualization and monitoring and management performance and other performance put forward new needs.This thesis mainly focuses on the development of visual simulation platform.The main work is as follows:1.The relevant requirements in the research of the existing spaceborne AIS system are analyzed in detail,the functional modules of the AIS system platform are designed,and scalable interfaces are reserved for subsequent researchers to study the other parts of the VDES system.2.Based on the popular Django framework,the platform combines Celery asynchronous processing technology,using redis memory database and common MySql database to build,and uses the relevant interface of python to read the.mat file for matrix operation,and calls Matlab Simulation to achieve mixed programming.3.In this platform,the basic support technologies adopted by the front end are html,css and JavaScript.The framework technologies include Bootstrap and jQuery.In the data visualization part,X3dom technology is used to realize the 3D image rendering of signal information.The use of Baidu map Javascript API to display the ship location information and the use of canvas in H5 to draw the comparison chart of time slot signal conflict before and after demodulation.4.After the basic construction of the platform is completed,the platform has been functionally tested and server-side data verified to ensure that the platform can operate and work normally.Build a visual simulation platform to monitor and manage the complicated signals in a unified way,provide researchers with a unified entrance and operation style,facilitate the development and communication,improve the development efficiency,visualize the signal information and demodulation results,and provides effective help for data analysis and algorithm optimization.