基于智能家居蓝牙网络的室内定位研究

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT) Pub Date : 2022-09-16 DOI:10.1109/AICIT55386.2022.9930283

XueZhou Tong, Liheng Wang, YanCheng Cui

{"title":"基于智能家居蓝牙网络的室内定位研究","authors":"XueZhou Tong, Liheng Wang, YanCheng Cui","doi":"10.1109/AICIT55386.2022.9930283","DOIUrl":null,"url":null,"abstract":"With the rapid development of the Internet of Things, most of the smart home is equipped with Bluetooth above 5.0 system. With the wide use of smart home such as Tmall Spirit and Mijia, it provides a new way for indoor positioning. Therefore, this paper designs an indoor positioning system based on Bluetooth networking. The system uses the characteristics of low power consumption and communication stability of Bluetooth Mesh networking, combines with Gaussian filtering and Kalman filtering to filter the Bluetooth signal, and finally calculates the Bluetooth signal through the RSSI algorithm and realizes the positioning in the server through the three-sided center of mass algorithm.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Indoor Positioning Based on Smart Home Bluetooth Networking\",\"authors\":\"XueZhou Tong, Liheng Wang, YanCheng Cui\",\"doi\":\"10.1109/AICIT55386.2022.9930283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of the Internet of Things, most of the smart home is equipped with Bluetooth above 5.0 system. With the wide use of smart home such as Tmall Spirit and Mijia, it provides a new way for indoor positioning. Therefore, this paper designs an indoor positioning system based on Bluetooth networking. The system uses the characteristics of low power consumption and communication stability of Bluetooth Mesh networking, combines with Gaussian filtering and Kalman filtering to filter the Bluetooth signal, and finally calculates the Bluetooth signal through the RSSI algorithm and realizes the positioning in the server through the three-sided center of mass algorithm.\",\"PeriodicalId\":231070,\"journal\":{\"name\":\"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICIT55386.2022.9930283\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICIT55386.2022.9930283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

随着物联网的快速发展，大部分智能家居都配备了蓝牙5.0以上的系统。随着天猫精灵、米家等智能家居的广泛应用，为室内定位提供了一种新的方式。因此，本文设计了一个基于蓝牙网络的室内定位系统。本系统利用蓝牙Mesh网络低功耗、通信稳定的特点，结合高斯滤波和卡尔曼滤波对蓝牙信号进行滤波，最后通过RSSI算法对蓝牙信号进行计算，并通过三面质心算法实现在服务器中的定位。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Research on Indoor Positioning Based on Smart Home Bluetooth Networking

With the rapid development of the Internet of Things, most of the smart home is equipped with Bluetooth above 5.0 system. With the wide use of smart home such as Tmall Spirit and Mijia, it provides a new way for indoor positioning. Therefore, this paper designs an indoor positioning system based on Bluetooth networking. The system uses the characteristics of low power consumption and communication stability of Bluetooth Mesh networking, combines with Gaussian filtering and Kalman filtering to filter the Bluetooth signal, and finally calculates the Bluetooth signal through the RSSI algorithm and realizes the positioning in the server through the three-sided center of mass algorithm.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)

自引率

0.00%

发文量