| Issue |
E3S Web Conf.
Volume 675, 2025
International Scientific Conference on Geosciences and Environmental Management (GeoME’5.5 2025)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 14 | |
| Section | Artificial Intelligence and Smart Modeling for Resilient Civil Infrastructure and Environmental Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202567503003 | |
| Published online | 11 December 2025 | |
Intelligent geotechnical system of terrain movements: The case of rocky excavations on the Marrakech - Agadir highway (Morocco)
1 3GIE Laboratory, Mineral Engineering Department, Mohammadia Engineering School, Mohammed V University, Rabat, Morocco
2 Euromed Polytechnic School, Euromed University of Fes, Fez 30030, Morocco
3 Geophysics Laboratory, CNRST, Rabat, Morocco
* Corresponding author: m.rharouss@research.emi.ac.ma
This paper illustrates a case of an intelligent geotechnical system used in some rock cuttings along the Marrakech-Agadir highway. The system comprises multiple connected components to provide observation of ground movements. The main components of this system are GPS sensors based on Global Navigation Satellite System technology, which give a millimetric precision for the track of ground deformations. In addition to cable extensometers, which measure crack propagation and its evolution over time, the system comprises also a unit of data acquisition and alert. Information such as values and thresholds: is recorded and transmitted from various sensors. All monitored data can be accessed remotely via a web visualization platform that permits continuous and real-time monitoring. This method is essential for early detection of ground movements and thus contributes to safety and sustainability of infrastructure.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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