Details

Autor(en) / Beteiligte

• Romdhane, Rihab Fekih
• Lami, Y.
• Genon-Catalot, D.
• Fourty, N.
• Lagreze, A.
• Jongmans, D.
• Baillet, L.

Titel

Wireless sensors network for landslides prevention

Ist Teil von

• 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2017, p.222-227

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Link zum Volltext

Beschreibungen/Notizen

• Landslides, of slip/cast type, dynamics are mainly characterised by a sudden solid to fluid transition during heavy rain events. This feature makes them rather difficult to predict and therefore remains a major threat to nearby populated valleys. Our multidisciplinary partnership between laboratories (ISTerre: earth science and LCIS: embedded electronics, telecommunication) aims at developing a new predictive tool in order to analyse field movements using sensors. The plan is to instrument unstable slopes with a sensors network, characterised by its low consumption and cost, in order to achieve continuous monitoring of the overall shape deformation. Other monitoring techniques can be used for this particular phenomenon (photogrammetry, LIDAR ...), but some significant imperfections and flaws lay within their usage. This paper presents the methods used to enable geolocation using our wireless sensors network based on LoRa (Long Range) radio transmission technology.