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使用BLE信标进行占用监控:智能蓝牙虚拟门系统

Nasrettin Koksal¹, AbdulRahman Ghannoum², William Melek¹

¹Mechanical and Mechatronics Engineering Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada.

Sensors (Basel, Switzerland)

|May 14, 2025

概括

本研究介绍了一个智能蓝牙虚拟门系统用于占用监控. 它使用蓝牙低能耗信号和机器学习来准确的室内/室外跟踪,不需要地图.

科学领域:

计算机科学计算机科学
电气工程电气工程
人工智能的人工智能

背景情况:

占用监控 (OM) 对智能环境至关重要,但在电力消耗和成本方面面临挑战.
蓝牙低能耗 (BLE) 为可穿戴设备通信提供了节能和成本高效的解决方案.
将BLE接收信号强度指标 (RSSI) 与机器学习 (ML) 集成,可以实现AI增强的OM.

研究的目的:

提出一个智能蓝牙虚拟门 (IBVD) 系统用于室内/室外占用监控.
通过使用BLE RSSI信号,利用ML算法进行智能OM.
开发一个可靠的跟踪系统,不需要地图信息.

主要方法:

乘客使用的BLE设备和门口的两个BLE信标.
采用ML算法来检测来自BLE RSSI信号的模式,用于OM.
在各种ML模型中评估系统性能.

主要成果:

在所有测试的ML模型中实现了96.6%至97.3%的分类准确性.
展示了一个高度可靠的室内/室外跟踪系统.
展示了一个在不需要地图数据的情况下运行的系统.

结论:

IBVD系统为占用监控和个人跟踪提供了准确可靠的解决方案.
使用BLE RSSI和ML的AI增强方法提供了一个成本和能效的替代方案.
这项技术在家庭自动化,智能办公室和应急管理等领域具有很大的应用潜力.

关键词:

这就是BLE BLE BLE 这就是RSSI.深度学习是一种深度学习.混合学习是混合学习.神经网络的神经网络的神经网络占用情况监测占用情况监测

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