Automatic, Smart, Safe, and Battery-Less Environment Monitoring With IoT: Communication, Localization, and Sensing

IF 3.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE journal of radio frequency identification Pub Date : 2025-03-06 DOI:10.1109/JRFID.2025.3548569
Glauco Cecchi;Andrea Motroni;Andrea Ria;Paolo Nepa
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Abstract

This paper presents an automatic, smart, safe and battery-less network for environmental monitoring implemented by passive Internet of Things (IoT) sensing devices with an Ultra High-Frequency (UHF) Radio Frequency IDentification (RFID) interface. A mobile robot navigates into the environment enabling continuous and automatic communication with passive RFID sensor tags deployed at specified locations and their localization as well. These low-power sensors, identified through the tag Electronic Product Code (EPC), may provide temperature, humidity, lighting, or other data through the RFID standardized communication protocol. To enhance the system degree of automation, passive RFID tags implementing antenna self-tuning strategies are also exploited by the robot to identify obstacles in the environment by exploiting the same mobile RFID architecture used for environmental monitoring. Fine-grained positioning of passive RFID sensors is achieved with techniques based on the Synthetic Arrays principle. The paper presents a demonstrator illustrating the described system. It includes passive RFID sensor tags designed for indoor temperature monitoring, with a moving antenna featured to localize the sensor tags and detect self-tuning tags installed for the collision-avoidance system. The performance confirms the practicality of the proposed IoT system.
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物联网自动、智能、安全和无电池环境监测:通信、定位和传感
本文提出了一种自动、智能、安全和无电池的环境监测网络,该网络由无源物联网(IoT)传感设备实现,具有超高频(UHF)射频识别(RFID)接口。移动机器人导航到环境中,与部署在指定位置的无源RFID传感器标签进行连续和自动通信,并进行定位。这些通过标签电子产品代码(EPC)识别的低功耗传感器可以通过RFID标准化通信协议提供温度、湿度、照明或其他数据。为了提高系统的自动化程度,机器人还利用实现天线自调谐策略的无源RFID标签,通过利用与环境监测相同的移动RFID架构来识别环境中的障碍物。基于合成阵列原理的技术实现了无源RFID传感器的细粒度定位。本文给出了一个演示器来说明所描述的系统。它包括用于室内温度监测的无源RFID传感器标签,带有移动天线,可定位传感器标签并检测为避碰系统安装的自调谐标签。性能验证了所提出的物联网系统的实用性。
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