基于移动物联网的智能电梯阻车系统研究  

Research on Intelligent Elevator Blocking System Based on Mobile Internet of Things

作　　者：李景枫 乔高学 LI Jing-feng;QIAO Gao-xue(China Mobile Communications Group,Guangdong Corporation Limited,Zhuhai Branch,Zhuhai 519010,China;Tianjin ELCO Automation Corporation Limited,Tianjin 300385,China)

机构地区：[1]中国移动通信集团广东有限公司珠海分公司,广东珠海519010 [2]天津宜科自动化股份有限公司,天津300385

出　　处：《电脑与电信》2024年第6期78-83,共6页Computer & Telecommunication

摘　　要：为了最大限度降低由于电动自行车进入大厦、楼宇导致的火灾恶性事故发生,研发了一款基于移动物联网的智能电梯阻车系统。本系统采用高通MSM8953作为主芯片,并基于该主芯片设计开发板作为嵌入式平台。同时,在平台搭载了ShuffleNetV2目标检测算法,实现对电动自行车进入电梯轿厢的检测识别及语音提示功能。该系统相对于其他同类型系统而言,具有体积小、可拓展性强的优点,并在提高灵活性的同时降低了应用成本。测试结果表明,该系统的识别准确率可以达到98.3%以上,具有实现商业化和产业化的价值。In order to minimize the occurrence of fire accidents caused by electric bicycles entering buildings,this paper develops an intelligent elevator blocking system based on the mobile Internet of Things.This system uses Qualcomm MSM8953 as the main chip and designs a development board based on this main chip as an embedded platform.At the same time,the platform is equipped with the ShufleNetV2 object detection algorithm,which realizes the detection,recognition,and voice prompt functions for electric bicycles entering elevators.Compared to other similar systems,this system has the advantages of small size and strong scalability,and reduces application costs while improving flexibility.The test results show that the recognition accuracy of the system can reach over 98.3%.The system has the value of achieving commercialization and industrialization.

关 键 词：移动物联网 MSM8953 嵌入式系统 目标检测 ShuffleNet V2 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]