【作者】 陈玲；

【导师】 张书亮；

【作者基本信息】 南京师范大学 ， 地图学与地理信息系统， 2014， 硕士

【摘要】 地下管线是城市物质流、能量流和信息流的主要通道,是城市重要的基础设施和“生命线”。受管线管理模式及管线空间数据应用目的差异的影响,当前城市管线信息化中普遍存在两种类型的管线地理信息系统应用:以综合管线为数据资源,主要为城市规划服务的综合管线地理信息系统;以专业管线为数据资源,主要为管线权属单位管线运维服务的专业管线地理信息系统。但由于受管线信息要素分类、管线图式标准、采集及信息化平台差异等的影响,两类管线应用虽面向同一区域内的相同管线对象,却形成了具有明显不同语义、数据模型和数据精度的两种空间数据资源。由此,不同应用类型管线空间数据的集成、融合、共享、交换则逐步成为城市管线信息化深入应用中的突出问题,并进一步导致城市内建设的各个地下管线信息系统成为一个个信息孤岛。因此比较、整合两种数据的空间位置、属性信息,实现管线数据的匹配与融合,成为改善城市管线数据的重复探测,降低综合管线数据的生产成本,提高专业管线数据质量的必然选择。基于此本文提出了一种适用于管线匹配的语义相似性计算模型P-MD(Pipeline Matching-Distance),并在此基础上开展了基于管线空间数据的语义、拓扑等特征的匹配方法研究。主要研究内容和研究成果如下:(1)针对管线数据的语义特征,本文借鉴传统语义相似性计算模型MD3(Triple Matching-Distance)的思路,综合管线的概念名称、语义距离、属性内容和空间特征等因素,提出一种适用于地下管线匹配的语义相似性计算模型,解决了地下管线空间数据匹配过程中语义不一致的问题。(2)借鉴传统矢量空间数据匹配方法,结合管线数据的拓扑特征,将管线数据从“管点-管段”的结构转换成“节点-弧段”的结构,在匹配过程中综合管线数据的空间特征和语义特征,提出了基于P-MD模型的地下管线空间数据匹配方法,并以某实验区的燃气管线数据为例进行实验。结果表明,P-MD模型有效地解决了局部区域内的异名管点之间的匹配问题。更多还原

【Abstract】 Underground pipeline is the basic tunnel for city material flow,energy flow and information flow and also the important infrastructure and lifeline of the city.Influenced by pipeline managing mode and different application of pipeline spatial data,there are two types of pipeline geo-information system in current information of the city:the integrated pipeline GIS which use the integrated pipeline as data source and serve mainly for the urban planning;the professional pipelines GIS,which use the professional pipelines as data source and serve for the operation and management of the pipelines authority sector.Because of influenced by feature classify of pipeline information,standard of pipeline scheme,differences of collection and information platforms,the two types of pipeline applications have formed two resources of spatial data where differences in semantic,data model and data precious,though facing to the same pipeline in the same district.So,the integration,combination,sharing and exchanging of different type of pipeline data have gradually become the serious problem of the undertaking applications of city pipeline information and future lead to let the underground pipeline information systems in city constricting become the information isolated islands.So,comparing,sorting the spatial location,attribute information of the two data,implementing the matching and combination of pipeline data have inevitable choice for improving the repetitive detection for urban pipeline data,reducing production costs of the integrated pipeline and improving the professional quality of the data pipeline.This paper proposes a underground pipeline semantic similarity calculation model(Pipeline Semantic Similarity),and it studies the pipeline spatial data matching method on the basis of model and the semantic and topological feature.The research contents and results in this paper are as follows:Firstly,according the semantic feature of pipeline data,based on the traditional semantic similarity calculation model of MD3(Triple Matching-Distance),combined the concept name,semantic distance,attributes and spatial characteristics and other factors of pipeline data,this paper proposes a underground pipeline semantic similarity calculation model and this model solves the problem of semantic inconsistency in underground pipeline spatial data matching process.Secondly,referencing the traditional data matching method of spatial vector data and combined with the topological feature of pipeline data,this paper re-constructs pipeline data structure from ’point-line’into ’node-curve’,uses the P-MD model to match pipeline data considering its spatial and semantic feature,and takes the gas pipeline data as a matching test example.The result shows that the P-MD model effectively solves the problem of matching synonym pipeline points in the local region.更多还原