测绘通报 ›› 2020, Vol. 0 ›› Issue (7): 34-37,44.doi: 10.13474/j.cnki.11-2246.2020.0210

• 测绘地理信息技术助力疫情防控 • 上一篇    下一篇

多层级地址语义模型构建及其在疫情防控中的应用

尹向军1, 陈阵2, 张俊磊2, 崔立新3, 赵伟1, 黄华月1   

  1. 1. 南京市城市规划编制研究中心, 江苏 南京 210029;
    2. 丰图科技(深圳)有限公司, 广东 深圳 518000;
    3. 察布查尔县住房和城乡建设局, 新疆 伊犁 835300
  • 收稿日期:2020-04-22 出版日期:2020-07-25 发布日期:2020-08-01
  • 作者简介:尹向军(1979-),男,硕士,高级工程师,主要研究方向为政务地理信息数据融合与应用。E-mail:9337981@qq.com
  • 基金资助:
    国家自然科学基金(41571340)

Construction of multi-level address semantic model and its application in epidemic prevention and control

YIN Xiangjun1, CHEN Zhen2, ZHANG Junlei2, CUI Lixin3, ZHAO Wei1, HUANG Huayue1   

  1. 1. Nanjing Urban Planning&Reserch Center, Nanjing 210029, China;
    2. SF-Map Technology(shenzhen) Co., Ltd., Shenzhen 518000, China;
    3. Qapqal Housing and Urban-rual development bureau, Yili 835300, China
  • Received:2020-04-22 Online:2020-07-25 Published:2020-08-01

摘要: 目前城市各部门汇集了大量的地址数据,地址数据呈现多头管理和建设的局面,且没有从地理实体的源头处出发,导致成果无法集约共建及统一共享。本文基于以应用为导向的精细化管理需求,建立多层级地址语义模型和地址资源库,将地址资源库与地理实体挂接,形成地址到栋或单元级的房屋实体唯一地理基座,进而全面支撑智慧城市的建设、运营及管理,并在新冠肺炎疫情防控中进行了积极应用。

关键词: 地址模型, 地址库, 地理实体关联, 实际应用, 疫情防控

Abstract: As far as now, a large amount of the address data have been collected by the city governments. However, these data are managed and constructed by different departments in the city. Moreover, the construction of the address data are not from the source of geographical entity. Therefore, these issues result in the failure of intensive construction and unified sharing of these data. In this study, we try to set up a multi-level address semantic model and address repository based on application-oriented refinement management requirement, which links the repository to the geographic entities. The constructed address semantic model and repository generate a unique geographic base from the address to the building entity at the building or unit levels. It can also provide the comprehensive support on wisdom city construction, operation and management. It also has been widely applied in COVID-19 epidemic prevention and control.

Key words: address model, address base, geographical entity association, practical application, epidemic prevention and control

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