Based The Webgis Logistics Monitoring Experimental Platform Design And Realization

The logistics monitoring system, which provides cogent technical support for logistics enterprise via the vehicle data terminal, wireless communication network and logistics monitoring platform, is important part of modern logistics informationization construction. As system management centrum, the logistics monitoring platform implements real time monitoring and correctly assigning to logistics vehicle by geography analysing and decision-making technique of GIS.WebGIS, combo of Web and GIS, make use of Web technique extending and reinforcing GIS, so as to realize geographical information management in Web environment. Moreover, WebGIS possesses the characters of mutual operation, portability, expansibility and compatibility. Compared with traditional logistics monitoring platform based on GIS, the platform based on WebGIS is better in information shareing, load computing, data accessing and cost spending.This project designs and implements a set of logistics monitoring simulation platform based on WebGIS. The platform is composed of monitoring terminal, Web application server, GIS application server and database server. Geographic information data and vehicle information data, stored in Database server, are co-processed by Web application server and GIS application server, and finally are visually displayed in the map of monitoring terminal where users could execute operations such as monitoring, searching and assigning towards logistics vehicles.This thesis firstly summarizes WebGIS, and then put emphases on designing scheme of logistics monitoring simulation platform based on WebGIS, in which three optimized policies are put forword for practice, including constructs distributed monitoring platform combining with J2EE standard, improves data accessing efficiency importing database connectpool mechanism and extends platform function adopting JSP+JavaBeans technique.After configuring and debugging, the logistics monitoring simulation platform is proved to be running stably, this could satisfy with requirement of bigger scale logistic monitoring, and is valueable in business application.