摘要
随着经济的迅猛发展,城市汽车数量不断增加,导致停车拥挤、停车效率低等一系列问题。针对该问题,设计出一种基于物联网的智能停车系统,该系统能够合理、高效统计附近停车场和私家车库空闲停车位的数量等信息,便于用户的预定。该系统包括停车位感知系统、服务器、用户APP三个部分,该停车位感知系统能够采集车位空闲状态,温湿度,气体浓度的信息,反馈给服务器,服务器更新数据库信息,用户根据附近的车位信息,使用APP进行预定。测试结果表明,该基于物联网的智能停车系统相较于传统的停车场停车方式,能够对车位信息实时监测,灵敏度高,高效省时,对于提升生活出行效率和改善交通状况有一定应用价值。
With the rapid development of economy,the number of urban cars is increasing,which leads to a series of problems such as parking congestion and low parking efficiency.To solve this problem,an intelligent parking system based on the Internet of Things is designed.The system can reasonably and efficiently count the number of vacant parking spaces in nearby parking lots and private garages,which is convenient for users to book.The system consists of three parts:parking space perception system,server and user APP.The parking space perception system can collect the information about the idle status,temperature,humidity and gas concentration of parking spaces,and feed it back to the server.When the server updates the database information,users can book the parking space on the APP according to the nearby parking space information.The test results show that compared with the traditional parking lot,the intelligent parking system based on the Internet of Things can monitor the parking space information in real time with high sensitivity,high efficiency and time saving,which has great significance for improving the efficiency of life,travel and social order.
作者
李月
王善勤
肖宏飞
LI Yue;WANG Shanqin;XIAO Hongfei(Chuzhou Polytechnic,Chuzhou 239000,China)
出处
《滁州职业技术学院学报》
2024年第4期58-62,共5页
Journal of Chuzhou Polytechnic
基金
滁州职业技术学院科技创新平台项目“人工智能技术应用创新研究中心”(YJP-2023-02)
安徽省职业与成人教育学会教育教学研究项目“AI赋能高职教育教学数字化转型发展研究”(AZCJ2024208)
滁州职业技术学院科学研究项目“基于人工智能的可车位预测的智能停车系统的研究与设计”(ZKY-2024-9)。
