基于人工神经网络和智能RFID的室内定位导航系统  

Indoor localization and navigation system based on ANN and smart RFID

作　　者：毛颉 李明兰 罗云飞 MAO Jie;LI Minglan;LUO Yunfei(College of Computers,Zhejiang Industry Polytechnic College,Shaoxing 312000,China;College of Mathematics and Statistics,Qingdao University,Qingdao 266071,China;Huawei Technologies Co Ltd,Shenzhen 518129,China)

机构地区：[1]浙江工业职业技术学院计算机学院,浙江绍兴312000 [2]青岛大学数学与统计学院,山东青岛266071 [3]华为技术有限公司,广东深圳518129

出　　处：《传感器与微系统》2021年第10期98-101,105,共5页Transducer and Microsystem Technologies

基　　金：浙江省教育厅科研项目(Y201737867);山东省杰出青年科学基金资助项目(JQ201419)。

摘　　要：为了解决和完善紧急情况下复杂多层建筑物的人员撤离问题,提出了一种利用智能手机和人工神经网络(ANN)的室内导航定位系统。通过无线电频率识别(RFID)技术对每个用户的位置进行跟踪;通过服务器上ANN模块动态分析建筑物内的环境,并生成指导用户撤离的必要指令;通过安卓智能手机应用程序将撤离路线发送给用户。此外,本文系统可通过语音-视觉元素,利用用户的智能手机对其进行即时导航。通过一个火灾模拟程序在一个高层大楼内模拟火灾,测试设计的智能系统,结果表明:本文系统可以根据每个用户的身体特征以及建筑物中的不同环境,为建筑物内的用户提供准确导航。To solve and improve the evacuation of complex multiple storey buildings under emergency situations,an indoor navigation and localization system using smart phone and artificial neural network(ANN)is proposed.Through the radio frequency identification(RFID)technology,the position of each user is tracked.The ANN module on the server dynamically analyze on environment inside the building,and generate the necessary instruction to guide the user to evacuate.The evacuation route will be sent to the user through the Android smart mobile application.In addition,the system can use a voice-visual element to make use of the user’s smart phone for immediate navigation.A fire simulation program is used to simulate the fire in a high-rise building.The test results show that the system can provide accurate navigation for users in the building according to the physical characteristics of each user and the different environments in the building.

关 键 词：室内导航 无线电频率识别 人工神经网络 定位 撤离线路 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TP391[自动化与计算机技术—控制科学与工程]