基于多模态数据融合的社区智慧停车系统设计

Design of community intelligent parking system based on multimodal data fusion

智能停车服务是未来社区背景下最重要的建设内容之一。目前,温州老旧小区停车智能化管理程度普遍不高,主要原因是缺乏对智慧物联网设备、停车系统数据等资源的动态整合和利用。文章针对未来社区智能停车服务的需求,重点研究停车功能分散、可视化能力不足、数据资源差异大等问题。文章通过对智能停车场景及相关数据流的研究,提出了基于多模态数据融合的社区智能停车系统,并将其应用于未来社区停车场,旨在解决居民在停车过程中的实际问题,满足了未来社区背景下智慧停车大数据平台建设进一步发展的需要,提高了停车管理的科学化、数字化、智能化水平。

Intelligent parking services are the most important construction content in the future community context.At present,the level of intelligent parking management in old residential areas in Wenzhou is generally not high,mainly due to the lack of dynamic integration and utilization of resources such as smart IoT devices and parking system data.Aiming at the demand of future community intelligent parking service,this paper focuses on the problems of decentralized parking functions,insufficient visualization capability,and large differences in data resources.Through research on intelligent parking scenarios and related data streams,a community intelligent parking system based on multimodal data fusion is proposed and applied to future community parking lots to solve practical problems for residents during the parking process.It meets the further development needs of smart parking big data platform construction in the context of future communities,and improves the scientific,digital,and intelligent level of parking management.