Monitoring System for Lateral Soil Movements Using MEMS Accelerometers

Landslide events on slopes or hilly regions can cause severe incidents affecting populations living near these areas. In this context, real-time monitoring of such events is critically important to minimize the impact of landslides on the population. Thus, online monitoring of regions where these risks may cause material damage and threaten lives enables the implementation of an early warning system to safeguard lives. This work reports the results of a prototype inclinometer designed using MEMS accelerometer devices. The proposed system will be used for remote and continuous monitoring of lateral soil movements, with direct communication to environmental control agencies, thereby assisting competent authorities in making more assertive decisions.

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Publication Details

Published
2025-08-25
DOI
https://doi.org/10.1109/inscit66472.2025.11181026
Primary Topic
Plant Taxonomy and Phylogenetics
Type
article
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article

Monitoring System for Lateral Soil Movements Using MEMS Accelerometers

Plant Taxonomy and Phylogenetics
article

Monitoring System for Lateral Soil Movements Using MEMS Accelerometers

article en

Abstract

Landslide events on slopes or hilly regions can cause severe incidents affecting populations living near these areas. In this context, real-time monitoring of such events is critically important to minimize the impact of landslides on the population. Thus, online monitoring of regions where these risks may cause material damage and threaten lives enables the implementation of an early warning system to safeguard lives. This work reports the results of a prototype inclinometer designed using MEMS accelerometer devices. The proposed system will be used for remote and continuous monitoring of lateral soil movements, with direct communication to environmental control agencies, thereby assisting competent authorities in making more assertive decisions.

Fundação Escola de Sociologia e Política de São Paulo (BR)
Openalex Percentile: Top 38%
Plant Taxonomy and Phylogenetics
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