IoT‑Based Smart Slope Stability Monitoring & Landslide Early Warning System
Landslides are a serious danger for people working on roads, hillsides, and construction sites, especially during heavy rain when the soil becomes weak and can suddenly collapse. To address this, this project explores an idea called the ARAM Smart Slope System (Always Ready Avoiding Mishaps), which is a concept for a smart early warning system that could help workers move to safety before a landslide happens. The project is only a concept and prototype-level idea at this stage and has not been built or used in the real world.
The basic idea is simple: small devices would be placed in and around a slope to “watch” the ground and weather. These devices would measure how wet the soil is, whether the ground is slowly tilting or shifting, and what the local weather conditions are, such as rain intensity. All this information would be sent to a computer or online dashboard where it can be viewed easily on a laptop, tablet, or phone by site engineers and safety managers.
If the system notices that the soil is getting too wet and the slope is starting to move more than normal, it would treat this as a warning sign that a landslide might happen soon. At that point, it would send alerts in stages, such as a vibration or notification to workers on site, warning lights and sounds at the site entrance, and messages to safety managers or emergency contacts. The goal is to give enough time—possibly 15 to 30 minutes in some situations—for people to stop work, move workers and machines away from danger, and take quick preventive actions.
Because there was no chance to test this idea on a real hillside, a small lab-style prototype was created using simple electronic parts like an Arduino controller, a soil moisture sensor, and a tilt sensor. In these tests, when the soil became wetter and the angle changed beyond set limits, the system displayed a “Warning – Instability Detected” message, showing that the basic idea of detecting risk and sending alerts can work. A rough cost check also suggests that each sensor unit could be kept fairly low cost, making it possible to place several units across a slope to improve coverage.
This concept shows that smart, low-cost technology could help move construction safety from reacting after a landslide to preventing injuries by acting earlier. At the same time, there are clear limits: this work is only at the idea and prototype level, and real projects would need field testing, stronger hardware, better power and internet solutions, and careful tuning to local ground conditions before it could be trusted in practice. In future, this idea could be expanded by adding solar-powered devices, smarter prediction algorithms, and trials on actual construction or highway projects to see how well it performs outside the lab.
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