基于物联网技术的地下停车场诱导系统设计

Underground Parking Guidance System Design Based on Intemet of Things

针对规模较大、空间结构复杂的地下停车区域，设计一种停车场诱导系统。介绍系统的整体方案，提出物联网技术用于停车场诱导的总体框架；详细讨论系统关键技术，包括：车辆及车位感知、传输网络设计与优化、诱导信息计算模型设计。系统可满足大规模、精细化管理的地下停车诱导需求，且稳定可靠，扩展性、可维护性强。

This pager designed a parking guidance system for the underground parking area characterized by large scale and complicated spatial structure. By using the Internet of Things Technology, a parking guidance framework was put forward. Based on the application of key technologies including car and lots perception, design and optimization of transport network, calculation model of parking guidance, the system could meet the demand of intensive management of the underground parking in large scale with high stability and reliability, expansibility, maintainability.