摘要
目的解决传统的经验式管理方式中管网数据分散、整体规划性差,且无法适应管网迅速扩张、更新速度加快、海量数据存储的问题;建立城市排水管网地理信息系统,实现城市排水管网数字化管理和信息共享.方法以沈阳浑南新城排水管网数据为基础,利用地理信息系统(GIS)强大的空间分析能力,以Visual Studio 2010为开发环境,Oracle 11g为数据库,在Arc GIS平台基础上采用组件技术进行二次开发,通过空间数据的相互关联,结合网络技术、客户机/服务器(C/S)技术和浏览器/服务器(B/S)技术进行系统集成.结果建立的城市排水管网地理信息系统可以实现对管网的横断面分析、纵断面分析、垂距分析和隐患分析;系统采用面向服务的体系结构(SOA)架构有利于管网的运营管理和信息共享,能够满足管理部门的应用需求;利用系统强大的空间分析能力和存储能力为管网的生产调度提供准确的数据支持和科学的辅助分析手段.结论系统能够满足城市排水管网数字化管理的业务需求和管理现状,提高工作效率,为城市排水管网改造与维修提供直观可靠的决策依据.
In order to solve problems that the traditional way of empirical management makes data scatter ,poor planning and cannot adapt to the rapid expansion pipe network, update speed, mass data storage, a geographic information management system of modem urban drainage network was built to realize digital management and information sharing. Based on the metro drainage network data system of Shenvang Hunnan.using geograohic information system(GIS) .Visual Studio 2010 development environment and Oracle 11 g database, the second development was carded out using component technology on the ArcGIS platform. Then, the system was intergrated through intercon- nected space data,combining with the network technology, the client/server( C/S )and the brow- set/server( B/S )technology. Results show that the built system can realize transverse analysis ,pro- file analysis, offset analysis and hazard analysis of the drainage network. The used service-oriented system structure(SOA) is available to the network management and information sharing. Conclu- sion is that the system can meet business needs of urban drainage network management and pro- vide a reference for building digital urban management information system, especially for planning and management of the urban underground pipeline.
出处
《沈阳建筑大学学报(自然科学版)》
CAS
北大核心
2015年第2期366-376,共11页
Journal of Shenyang Jianzhu University:Natural Science
基金
国家水体污染控制与治理科技重大专项(2009ZX07424-002)
沈阳市科技计划社会发展科技攻关项目(F13-157-9-00)
住房和城乡建设部科学技术项目(2012-K8-11)
关键词
排水管网
地理信息系统
数字化管理
决策分析
drainage network
geographic information system
digital management
decisionanalysis