测绘通报 ›› 2023, Vol. 0 ›› Issue (3): 61-66.doi: 10.13474/j.cnki.11-2246.2023.0073

• 学术研究 • 上一篇    下一篇

场景视角下社区智慧停车的数据融合

张舒1,2, 石丽红2, 赵习枝2   

  1. 1. 辽宁工程技术大学测绘与地理科学学院, 辽宁 阜新 730070;
    2. 中国测绘科学研究院, 北京 100830
  • 收稿日期:2022-09-02 修回日期:2023-02-06 发布日期:2023-04-04
  • 通讯作者: 石丽红。E-mail:Shilh@casm.ac.cn
  • 作者简介:张舒(1998-),女,硕士,主要研究方向为智慧社区,多模态数据融合。E-mail:2823174038@qq.com
  • 基金资助:
    国家重点研发计划(2021YFF0900900)

Data fusion framework of community intelligent parking from the perspective of scene

ZHANG Shu1,2, SHI Lihong2, ZHAO Xizhi2   

  1. 1. School of Geomatics, Liaoning Technical University, Fuxin 730070, China;
    2. Chinese Academy of Surveying and Mapping, Beijing 100830, China
  • Received:2022-09-02 Revised:2023-02-06 Published:2023-04-04

摘要: 在全国智慧社区建设的大背景下,智慧停车成为智慧社区建设的重要内容。当前社区停车管理智慧化程度普遍较低,其主要根源在于未形成物联网数据、调度指挥数据等资源的动态整合利用。本文面向社区停车管理智慧化需求,针对停车功能分散、可视化能力不足、数据资源差异大等问题,通过研究智慧停车场景及相关数据流,提出了智慧停车多模态数据动态融合框架,并在社区进行落地应用,解决了停车过程中的实际问题,满足了多模态数据融合技术在社区停车场景中的拓展及智慧停车建设继续深入的需要,提升了城市停车管理的科学化、智能化水平。

关键词: 智慧社区, 智慧停车, 多模态数据融合框架, 车位引导, 反向寻车

Abstract: In the context of national wisdom community construction, wisdom parking has become an important element of wisdom community construction. The current community parking management wisdom is generally low, the main root cause of which is the failure to form the dynamic integration and utilization of data resources such as IOT data and scheduling command data. In this paper, facing the demand of community parking management wisdom, for the problems of scattered parking functions, insufficient visualization ability and large differences in data resources, we propose the framework of wisdom parking multimodal data dynamic fusion by studying the wisdom parking scene and related data flow, and implement the application in the community, which solves the practical problems in the parking process and meets the expansion of multimodal data fusion technology in the community parking scene and the wisdom It meets the need for the expansion of multimodal data fusion technology in the community parking scene and the continuation of the construction of intelligent parking, and improves the scientific and intelligent level of urban parking management.

Key words: smart community, intelligent parking, multimodal data fusion framework, parking guidance, reverse car finding

中图分类号: