A Feasibility Study on Monitoring Earthquake-Caused Furniture Vibrations Using Radiofrequency Identification Sensor Tags

Author:

Song Zequn1,Rahmadya Budi2ORCID,Sun Ran3,Takeda Shigeki3

Affiliation:

1. Graduate School of Science and Engineering, Ibaraki University, Hitachi 316-8511, Japan

2. Computer System Department, Faculty of Information and Technology, Andalas University, Padang 25175, Indonesia

3. College of Engineering, Ibaraki University, Hitachi 316-8511, Japan

Abstract

This paper presents a feasibility study on monitoring earthquake-caused furniture vibrations using radiofrequency identification (RFID) sensor tags. Finding unstable objects by exploiting the vibrations caused by weaker earthquakes is effective as one of the potential countermeasures for large-scale earthquakes in earthquake-prone areas. For this purpose, a previously proposed ultrahigh-frequency (UHF)-band RFID-based batteryless vibration/physical shock sensing system enabled long-term monitoring. This RFID sensor system introduced standby and active modes for long-term monitoring. This system enabled lower-cost wireless vibration measurements without affecting the vibration of furniture because the RFID-based sensor tags provide lightweight, low-cost, and battery-free operations. This RFID sensor system observed earthquake-cased furniture vibrations in a room on the fourth floor of a building eight stories high at Ibaraki University, Hitachi, Ibaraki, Japan. The observation results revealed that the RFID sensor tags identified the vibrations of furniture caused by earthquakes. The RFID sensor system also observed the vibration duration times of the objects in a room and specified the most unstable reference object. Hence, the proposed vibration sensing system helped achieve safe living in indoor environments.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The role of artificial intelligence and IoT in prediction of earthquakes: Review;Artificial Intelligence in Geosciences;2024-12

2. Comparative Study on Various Sensors for Monitoring the Construction Sites;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

3. Structural analysis using MPU6050 gyroscope;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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