Enabling Fine-Grained Residual Liquid Height Estimation With Passive RFID Tags

被引:2
|
作者
Li, Binbin [1 ]
Wang, Yu [2 ,3 ]
Zhao, Yuqiu [4 ]
Liu, Wenyuan [2 ,3 ]
机构
[1] Yanshan Univ, Sch Econ & Management, Qinhuangdao 066004, Hebei, Peoples R China
[2] Yanshan Univ, Sch Informat Sci & Engn, Networked Sensing & Big Data Engn Res Ctr Hebei P, Qinhuangdao 066004, Hebei, Peoples R China
[3] Yanshan Univ, Networked Sensing & Big Data Engn Res Ctr Hebei P, Hebei Key Lab Software Engn, Qinhuangdao 066004, Hebei, Peoples R China
[4] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Peoples R China
基金
中国国家自然科学基金;
关键词
Liquids; Sensors; Containers; Estimation; Monitoring; Impedance; Capacitive sensors; Differential minimum response threshold (DMRT); height estimation; liquid volume; radio frequency identification (RFID) tags; TRANSDUCER;
D O I
10.1109/JSEN.2023.3295842
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
For many industrial and healthcare applications, liquid volume, especially residual volume monitoring, is one of the most important problems. Yet, existing technologies mainly rely on specialized sensors, which greatly restricts their universality in other applications. The popularity of radio frequency identification (RFID) provides us with unprecedented opportunities for building wireless and batteryless sensing systems. In this article, we propose a fine-grained residual liquid height estimation scheme with passive RFID tags. With dual-tags attached to the surface of the container, our scheme takes one of them as a sensing tag and the other one as a reference tag. We establish a continuous liquid height estimation model based on the extracted differential minimum response threshold (DMRT) features of the two tags. We implement a prototype system with commercial off-the-shelf (COTS) RFID devices and conduct extensive experiments to evaluate its performance. Experimental results demonstrate that our scheme is immune to location changes and robust against interference (such as walking around people), with an overall accuracy of 95.55%.
引用
收藏
页码:20159 / 20168
页数:10
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