The Design Of Urban Underground Pipe Network Integrated Management System Based On GIS

Along with constant expansion of our national urban scale and advancement of modern degree, the management of most urban underground pipe network is inefficient, so there are many designed mistakes and project accidents. Mined and embedded the pipe must avoid present pipeline when we are maintaining and administering, especially setting new pipeline. Here managed and inquired about the underground pipe network is very important. According to actuality and features of underground pipe network industry, the application of Geography Information System with a software and hardware computer platform will solve these problems commendably.This article takes the present situation and features of certain urban underground pipe network as researched background. It emphasizes on researching design and realization of urban underground pipe network GIS based on Client /Server. The author brings forward a structure which fits the urban underground pipe network management system. The content mainly is composed by the below several parts:At first, the text introduces actuality and subsistent problems of our urban underground pipe network management system. And the author consults GIS and some of its basic conception, theory and method.Second, the article expounds the system's overall designed structure.Thirdly, according to data storage structure of GIS and features of urban underground pipeline, the author design database structure which fit industry features of urban underground pipe network and bring forward four kinds of data storage types. And making use of the good-sized RDBMS as the background data server manages its data.Fourthly, the author frames graphic user interface of applied system making use of PowerBuilder which is a universal implement of database application program. And then links up the founded background database.At last, the author integrates PowerBuilder with MapInfo which is a professional GIS software. It can make the pipeline visual, and combine the spatial data with attribute data.