Slopeguard: A Lora-Driven Intelligent Landslide Detection Framework

In hilly and mountainous areas, landslides are among the most destructive natural disasters, particularly during periods of intense precipitation. Human lives,transportation networks, and infrastructure are all severely harmed by sudden slope failures. Conventional monitoring systems are not appropriate for remote locations since they are frequently manual, costly, and do not have real-time alert capabilities. A LoRa-based Internet of Things landslide detection and early warning system is proposed in this paper for ongoing slopemonitoring and prompt risk assessment. Numerous sensors are integrated into the system, such as the DHT11 for environmental monitoring, the soil moisture sensor, the vibration sensor, and the MPU6050 for tilt and acceleration. The sensor data is processed by an ESP32microcontroller and sent to a monitoring station via LoRa communication. LEDs and a buzzer are used to create local alerts, and data is sent to a cloud dashboard foroversight from a distance. For deployment in areas vulnerable to landslides, the suggested system provides long-range communication, low power consumption, dependability, and affordability. Keywords: early warning system, disaster management, IoT, LoRa communication, and landslide detection.