目前城市管网的隐患排查主要采用现场巡查方式,未实现管网隐患的信息化、智慧化分析管理。本文将运用城市地下管网普查的信息内容,结合基础地形和专题要素空间数据,通过定义数据属性项的约束条件和地理空间要素的位置关系分析,建立地下管网隐患的数据模型,实现管网隐患在GIS中的分析定位,提出地下管网隐患排查的大数据分析解决方案。 At present, the investigation of the hidden dangers of urban pipe network mainly adopts on-site inspection methods, and does not realize the informatization and intelligent analysis and management of network pipe hidden dangers. This article will use the urban underground pipe network census information content, combined with the basic terrain and thematic elements of spatial data, through the definition of data attributes constraints and geospatial elements of the location of the relationship between the analysis of the establishment of underground pipe network hidden data model to achieve network Hidden dangers in the analysis of the positioning of GIS, put forward the investigation of hidden dangers of underground pipelines big data analysis solutions.