Passive radio-frequency identification ranging, a dense and weather-robust technique for landslide displacement monitoring

被引：22

作者：

Le Breton, Mathieu ^{[1
,2
]}

Baillet, Laurent ^{[1
]}

Larose, Eric ^{[1
]}

Rey, Etienne ^{[1
,2
]}

Benech, Philippe ^{[3
]}

Jongmans, Denis ^{[1
]}

Guyoton, Fabrice ^{[2
]}

Jaboyedoff, Michel ^{[4
]}

机构：

[1] Univ Grenoble Alpes, Univ Savoie Mt Blanc, CNRS, IRD,IFSTTAR,ISTerre, F-38000 Grenoble, France

[2] Geolithe, F-38920 Crolles, France

[3] Univ Grenoble Alpes, IMEP LAHC, F-38000 Grenoble, France

[4] Univ Lausanne, Inst Geomat & Risk Anal, CH-1015 Lausanne, Switzerland

来源：

ENGINEERING GEOLOGY | 2019年 / 250卷

关键词：

Wireless sensor network; Slope stability; Real-time location tracking system; Early warning; Monitoring; Radio-Frequency Identification; RFID TAG; SYSTEM; SENSOR; INTERFEROMETRY; TRANSPONDER; RADIO;

D O I：

10.1016/j.enggeo.2018.12.027

中图分类号：

P5 [地质学];

学科分类号：

0709 ; 081803 ;

摘要：

Ground deformation monitoring at a local scale requires accuracy, along with dense spatio-temporal resolution. Radio-Frequency Identification (RFID) technology is proposed as an alternative to classical geodetic methods for monitoring displacements of a landslide. Passive RFID tags allow for a very dense resolution, both in time and space, at the scale of a 100-m-long surface. By deploying 19 passive RED tags on a landslide for 5 months, this study validates the technique by comparison with laser total station and wire extensometer data. The accuracy of the RFID technique was 1 cm during normal weather and up to 8 cm during snow events. The results demonstrate that RFID tag tracking can monitor landslide displacements with multiple sensors at low cost, providing dense spatio-temporal data. This technique could potentially be used for other applications such as monitoring volcanic activity, buildings, unstable rocks or snow cover.

引用

页码：1 / 10

页数：10

共 69 条

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