A comparative study of slope stability analysis via Geo5 using IoT framework.

This article focuses on slope stability analysis in mountainous and mining regions using GEO5 geotechnical software, incorporating data collected via Internet of Things (IoT) cameras installed near the Mahanadi River in Odisha, India. It evaluates the factor of safety (FOS) for slopes composed of sandy clay soil under various stabilization methods—anchors, reinforcements, anti-slide piles (tiles), and soil nails—using established analytical techniques including the Morgenstern-Price, Janbu, Spencer, and Bishop methods. The study compares these methods’ effectiveness in improving slope stability, finding that anti-slide tiles yield the highest FOS with Morgenstern-Price, Janbu, and Spencer methods, while anchors perform best with the Bishop method. Parametric analyses also examine the influence of slope angle and groundwater table on stability, highlighting the importance of tailored stabilization strategies. The research underscores the integration of IoT data and advanced software tools for real-time monitoring and hazard mitigation, suggesting further field studies to enhance accuracy in coastal and mining environments.